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Author SHA1 Message Date
d15a9d488a release: bump version to 0.66.3
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2026-05-26 17:26:19 +08:00
rayd1o
eb4c4b7904 release: bump version to 0.66.2
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2026-05-26 08:45:33 +08:00
rayd1o
887fec972e release: bump version to 0.66.1
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2026-05-26 04:38:18 +08:00
rayd1o
5bf5c73ca0 release: bump version to 0.66.0
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2026-05-26 03:41:47 +08:00
e65267fe21 release: bump version to 0.65.2
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2026-05-22 21:37:38 +08:00
ae982e51cd release: bump version to 0.65.1
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2026-05-22 20:42:03 +08:00
rayd1o
65e6a96c0d release: bump version to 0.65.0
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2026-05-21 05:41:49 +08:00
linkong
37e92e7572 release: bump version to 0.64.0
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2026-05-21 03:46:02 +08:00
linkong
a37d4b6289 fix: update default linkong password
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2026-05-21 02:20:45 +08:00
linkong
69789d7505 release: bump version to 0.63.1
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2026-05-21 02:14:11 +08:00
linkong
4f124121e7 fix: include admin next utils module
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2026-05-21 02:07:39 +08:00
linkong
085bdf9a80 release: bump version to 0.63.0
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2026-05-21 01:46:43 +08:00
linkong
fbca381512 release: bump version to 0.62.0
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2026-05-21 01:37:32 +08:00
rayd1o
5c65ee24d6 release: bump version to 0.61.0
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2026-05-18 02:37:19 +08:00
rayd1o
81970a1d05 release: bump version to 0.60.0
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2026-05-17 02:50:42 +08:00
rayd1o
9b913a3b83 release: bump version to 0.59.0
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2026-05-16 05:02:05 +08:00
linkong
93eb41a9f7 release: bump version to 0.58.0
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Release 0.58.0 includes the Earth high-precision boundary PMTiles/MVT pipeline, standardized Earth boundary source collectors, China POV boundary configuration templates, and removal of the legacy low-precision GeoJSON fallback. It also adds Earth news target-location queueing/archive support, fixes datasource task status visibility, documents the Earth surface depth-spacing rules that prevent far-zoom z-fighting snow/black blocks, and updates bilingual operations/developer docs.
2026-05-15 17:40:07 +08:00
rayd1o
dd176a6ae6 release: bump version to 0.57.0
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2026-05-14 01:02:17 +08:00
linkong
f14ff6ec0f release: bump version to 0.56.0
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2026-05-13 18:21:03 +08:00
linkong
39854b9983 release: bump version to 0.55.0
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2026-05-13 15:31:29 +08:00
linkong
3b4347c87d release: bump version to 0.54.0
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2026-05-13 14:26:47 +08:00
rayd1o
d9efd98d26 release: bump version to 0.53.0
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2026-05-13 08:05:43 +08:00
linkong
b87cb310fd release: bump version to 0.52.0 2026-05-12 17:15:02 +08:00
linkong
b15d097b9c default user 2026-05-12 09:20:13 +08:00
rayd1o
8955c58d19 release: bump version to 0.51.1 2026-05-11 10:59:41 +08:00
rayd1o
1cb51b1172 release: bump version to 0.51.0 2026-05-11 09:49:08 +08:00
rayd1o
455b8360d0 release: bump version to 0.50.0 2026-05-10 22:06:01 +08:00
linkong
e1984c7a35 release: bump version to 0.49.0
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-08 17:42:27 +08:00
linkong
bb9183b8a4 release: bump version to 0.48.0 2026-05-07 18:06:06 +08:00
linkong
421234301a release: bump version to 0.47.0 2026-04-30 16:56:37 +08:00
linkong
f22079d33a release: bump version to 0.46.3 2026-04-30 14:46:19 +08:00
linkong
9f737fdb89 release: bump version to 0.46.2 2026-04-30 14:30:12 +08:00
linkong
7418ce2fc1 release: bump version to 0.46.1 2026-04-30 09:41:08 +08:00
rayd1o
b1a5934b80 release: bump version to 0.46.0 2026-04-30 04:42:29 +08:00
rayd1o
ba54545ac7 release: bump version to 0.45.0 2026-04-29 23:43:54 +08:00
linkong
9dafbf4f6e release: bump version to 0.44.2 2026-04-29 18:11:37 +08:00
linkong
a87537e903 release: bump version to 0.44.1 2026-04-29 18:07:35 +08:00
linkong
87594a95ff release: bump version to 0.44.0 2026-04-29 17:27:44 +08:00
linkong
2da25376bd release: bump version to 0.43.1 2026-04-28 16:21:33 +08:00
linkong
ac69d5d354 release: bump version to 0.43.0 2026-04-28 16:10:17 +08:00
rayd1o
1cd2dab0ee release: bump version to 0.42.2 2026-04-28 04:35:13 +08:00
rayd1o
42d019af36 release: bump version to 0.42.1 2026-04-28 04:29:44 +08:00
rayd1o
b4e8afb272 release: bump version to 0.42.0 2026-04-28 04:27:18 +08:00
rayd1o
eeee788530 release: bump version to 0.41.2 2026-04-27 23:23:23 +08:00
linkong
655e2a7d2d release: bump version to 0.41.1
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-27 16:31:34 +08:00
linkong
3ea99a9529 release: bump version to 0.41.0 2026-04-27 13:58:29 +08:00
rayd1o
f9c1334365 release: bump version to 0.40.5
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-26 05:03:30 +08:00
rayd1o
5f47ec1659 release: bump version to 0.40.4 2026-04-26 01:41:29 +08:00
468 changed files with 99322 additions and 17355 deletions

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@@ -12,6 +12,19 @@ allowed-tools: ["Read", "Edit", "Bash", "Grep", "Glob"]
`$ARGUMENTS` 非空,则只检查指定文件/目录;否则检查所有未提交修改(`git diff HEAD`)。
## 节省上下文规则
优先用确定性的 CLI 检查缩小范围,不要一上来把完整文件或大 diff 读入上下文:
```bash
git diff --name-only HEAD
git diff --unified=0 HEAD -- <path>
git diff --check
rg -n "TODO|FIXME|console\.log|debugger|print\(" <changed-paths>
```
只有 focused diff 不足以安全判断或修改时,才读取完整文件。
## 审查清单
按优先级检查以下问题(只报告在本次 diff 中**新增或修改**的代码里存在的问题):
@@ -59,8 +72,13 @@ git diff HEAD --name-only
### Step 2 — 逐文件阅读并分析
- 用 Read 工具读取完整文件(不只读 diff
- 对照审查清单,记录每个问题:文件名、行号、问题类型、建议修复方式
先从 focused diff 开始:
```bash
git diff --unified=0 HEAD -- <file>
```
`rg``git diff --check`、编译器或 linter 输出确认确定性问题。只有需要上下文时才用 Read 读取完整文件。对照审查清单,记录每个问题:文件名、行号、问题类型、建议修复方式。
### Step 3 — 报告问题清单
@@ -95,6 +113,7 @@ git diff HEAD --name-only
- 只改在审查清单中发现的问题,不做额外优化
- 每次 Edit 只修改确实有问题的行,保持 diff 最小
- 改完后用 `grep` 验证旧的坏代码已消失
- 优先做精确补丁;只有仓库已有对应格式化流程时,才运行格式化工具
### Step 5 — 输出总结

104
.claude/commands/docs.md Normal file
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@@ -0,0 +1,104 @@
---
description: Create or update repository documentation from current code changes
argument-hint: Optional: topic to document, or leave empty to infer from git diff
allowed-tools: ["Read", "Edit", "Write", "Bash", "Glob", "Grep"]
---
# /docs — Documentation Workflow
## Goal
Create or update documentation that explains why a change exists, how it behaves, and what maintainers need to know. Keep this command generic. Repository-specific coverage rules live in the repository and must be loaded separately.
## Repository Rules
Before deciding scope, check whether the repository has a documentation rules file:
```bash
test -f docs/documentation-coverage-rules.md && sed -n '1,240p' docs/documentation-coverage-rules.md
```
If it exists, apply it as the project-specific coverage checklist. If it does not exist, continue with the generic workflow below.
## Workflow
### Step 1 — Understand The Change
```bash
git diff HEAD --stat
git diff HEAD --name-only
git log --oneline -10
rg --files docs
```
If `$ARGUMENTS` specifies a topic, focus on that topic. Otherwise infer the documentation topic from the changed files. Do not read the full repository diff by default; inspect focused files only:
```bash
git diff HEAD -- <path>
rg -n "class |def |function |export |router|@router|interface |type " <path>
```
### Step 2 — Decide Scope
- Prefer updating an existing relevant document over creating a duplicate.
- Use one document for one coherent topic.
- Split documents only when the change crosses meaningful domains.
- Keep filenames lowercase and hyphenated.
- Apply the repository-specific rules file before writing.
#### Document Audience Routing (Planet)
In this repository, classify the action's performer before picking a target file:
- Browser/UI end user → `docs/technical/{zh,en}/manual.md` or `quickstart.md`.
- Shell / Docker / log paths / `planet.sh` / SMTP fallbacks / port forwarding → `docs/technical/{zh,en}/ops-runbook.md` (or an existing `ops-*.md`).
- Second-party developers → existing `*-context.md` / `backend-*.md` / `earth-*.md` files.
Never put shell commands, log paths, or Docker operations into `manual.md` / `quickstart.md`. Never put UI button labels or screenshots into `ops-*.md`. When the same action has both a UI and a CLI path, write each in its own home and cross-link them with one sentence.
For ambiguous or large documentation changes, briefly state the intended doc plan before editing. For clear small changes, proceed directly.
### Step 3 — Write
Explain:
- Background/problem: what was wrong or missing before.
- Core design decisions and rationale.
- Operational or user-facing impact.
- Relevant code paths, only when useful for future maintainers.
Style:
- Follow the repositorys existing language and heading conventions.
- Use fenced code blocks with language tags.
- Prefer tables for comparisons or parameter lists.
- Keep snippets concise and relevant.
- For UI labels, chart labels, feature names, datasource names, and other terms that may become mixed Chinese/English copy, check `docs/technical/{zh,en}/naming-glossary.md` and use the documented display name. If a confusing term is missing, update the glossary in both languages as part of the docs change.
### Step 4 — Verify
- Read the completed docs once for clarity and stale statements.
- Verify referenced paths exist with `test -e` or `rg --files`.
- Run applicable checks from `docs/documentation-coverage-rules.md`.
- Check Markdown links use readable user-facing titles unless repository rules allow otherwise.
### Step 5 — Report
Summarize changed docs and verification:
```md
Updated:
- path/to/doc.md — what changed
Verified:
- checks that passed
- checks that could not be run, if any
```
## Hard Constraints
- Do not leave placeholder docs.
- Do not duplicate bilingual files byte-for-byte.
- Do not reference PR numbers, issue numbers, or the current conversation unless explicitly requested.
- Do not write changelog-style lists without the reasoning and tradeoffs behind the change.
- Keep docs maintainable and concise.

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@@ -72,6 +72,8 @@ Verification
## 执行风格
- 重证据,轻口头判断
- 优先使用确定性工具证据:`rg``git diff --stat``git diff -- <path>`、测试、构建、lint、`curl`、数据库查询等能直接证明成功标准的方式
- 不把大段命令输出粘进回复;保留在工具调用里,回复只总结关键证据
- 重验收,轻自我感觉
- 优先用测试、日志、产物、对比结果来证明完成
- 对长期任务保持“未达标就继续”的节奏

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@@ -28,6 +28,19 @@ allowed-tools: ["Read", "Edit", "Bash", "Glob", "Grep"]
- `docs/CHANGELOG.md`
- `docs/version-history.md`
## 节省上下文规则
发版判断应以确定性 CLI 证据为主,优先使用紧凑命令和定点读取:
```bash
git status --short
git diff --stat HEAD
git diff --name-only HEAD
rg -n "version|^## |^Released:|当前开发版本|current" VERSION frontend/package.json pyproject.toml docs/CHANGELOG.md docs/version-history.md
```
除非需要判断某个代码变更是否属于本次发版,否则不要读取完整 diff。
## 执行步骤
### Step 1 — 环境检查
@@ -45,7 +58,7 @@ cat VERSION # 读取当前版本
### Step 2 — 确定发版类型与新版本号
-`$ARGUMENTS` 提供了明确类型(`feature` / `bugfix`),直接使用
- 否则根据当前 `git diff HEAD``git log` 推断
- 否则根据 `git diff --stat HEAD``git diff --name-only HEAD`、必要的 focused diff`git log` 推断
- 计算新版本号(例:`0.26.2` → bugfix → `0.26.3`
- **先输出发版计划供用户确认**
@@ -91,12 +104,13 @@ cat VERSION # 读取当前版本
针对本次变更范围做最小验证:
- Python 文件有修改:`python3 -m py_compile <changed_files>`
- Frontend 文件有修改:运行项目标准检查(若无则跳过并说明)
- Python 文件有修改:先用 `git diff --name-only HEAD -- '*.py'` 列出,再运行 `python3 -m py_compile <changed_files>`
- Frontend 文件有修改:先用 `git diff --name-only HEAD -- frontend` 判断范围,再运行项目标准检查(若无则跳过并说明)
- 版本号一致性检查:用 grep 确认 VERSION、package.json、pyproject.toml 中的版本号完全一致
```bash
grep -h "version" VERSION frontend/package.json pyproject.toml
cat VERSION
rg -n "\"version\":|^version =|version = " frontend/package.json pyproject.toml uv.lock
```
### Step 7 — 提交前预览

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@@ -21,6 +21,19 @@ If the user specifies a file or directory, check only that. Otherwise check all
Only report issues present in **newly added or modified** lines of this diff — do not audit unchanged code.
## Token-Saving Rule
Prefer deterministic CLI checks before reading files into model context:
```bash
git diff --name-only HEAD
git diff --unified=0 HEAD -- <path>
git diff --check
rg -n "TODO|FIXME|console\.log|debugger|print\(" <changed-paths>
```
Read full files only when the focused diff does not provide enough surrounding context to make a safe edit.
## Checklist
### 1. Duplicate Logic
@@ -64,7 +77,13 @@ Filter to the user-specified path if one was provided.
### Step 2 — Read and analyze each file
Read the full file (not just the diff) with the Read tool. For each file, record every issue found: filename, line number, category, and suggested fix.
Start with focused diffs:
```bash
git diff --unified=0 HEAD -- <file>
```
Use `rg`, `git diff --check`, and compiler/linter output for deterministic findings. Read the full file only for files that need surrounding context. For each issue found, record filename, line number, category, and suggested fix.
### Step 3 — Report findings before touching anything
@@ -99,6 +118,7 @@ Principles:
- Only fix issues identified in the checklist — no extra improvements
- Keep each Edit as small as possible
- After fixing, verify the old bad pattern is gone with grep
- Prefer `apply_patch` for targeted edits; use formatters only when the repository already uses them for the touched file type
### Step 5 — Summary

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@@ -0,0 +1,83 @@
---
name: docs
description: Create or update repository documentation from current code changes. Use when the user asks to write docs, update docs, summarize implementation changes into docs, or check documentation coverage. Load repository-specific coverage rules from docs/documentation-coverage-rules.md when present.
---
# Docs
Use this skill when the task is documentation work: creating, updating, checking, or summarizing docs for code or behavior changes.
## Goal
Write documentation that explains why a change exists, how it behaves, and what maintainers need to know. Keep the skill generic; repository-specific rules belong in the repository, not in this skill.
## Repository Rules
Before deciding scope, check whether the repository has a documentation rules file:
```bash
test -f docs/documentation-coverage-rules.md && sed -n '1,240p' docs/documentation-coverage-rules.md
```
If it exists, apply it as the project-specific coverage checklist. If it does not exist, continue with the generic workflow below.
## Workflow
1. Gather focused context:
```bash
git diff HEAD --stat
git diff HEAD --name-only
git log --oneline -10
rg --files docs
```
If the user gives a topic, focus on that topic. Otherwise infer the doc topic from changed files. Avoid reading large full diffs by default; inspect focused files and symbols:
```bash
git diff HEAD -- <path>
rg -n "class |def |function |export |router|@router|interface |type " <path>
```
2. Decide scope:
- Prefer updating an existing relevant doc over creating a duplicate.
- Use one document for one coherent topic.
- Split documents only when changes cross meaningful domains.
- Keep filenames lowercase and hyphenated.
3. Write the doc:
- Explain background/problem, design decisions, constraints, and operational impact.
- Keep code snippets short and directly relevant.
- List related files only when they help future maintainers navigate.
- Use the repositorys existing language, heading style, and naming conventions.
- For UI labels, chart labels, feature names, datasource names, and other terms that may become mixed Chinese/English copy, check `docs/technical/{zh,en}/naming-glossary.md` and use the documented display name. If a confusing term is missing, update the glossary in both languages as part of the docs change.
4. Verify:
- Read the completed doc once for clarity and stale statements.
- Verify important referenced paths exist with `test -e` or `rg --files`.
- Run repository-specific doc checks from `docs/documentation-coverage-rules.md` when present.
- For Markdown links, check that user-facing titles are readable and not raw filenames unless the repository rules allow it.
## Hard Constraints
- Do not leave placeholder docs or copied source text pretending to be documentation.
- Do not duplicate bilingual files byte-for-byte.
- Do not reference PR numbers, issue numbers, or the current conversation unless explicitly requested.
- Do not write changelog-style lists without the reasoning, constraints, and tradeoffs behind the change.
- Keep docs concise enough to maintain.
## Recommended Output
After editing, summarize:
```md
Updated:
- path/to/doc.md — what changed
Verified:
- checks that passed
- checks that could not be run, if any
```

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@@ -72,6 +72,8 @@ In Codex, only use actual subagents when the user explicitly asks for delegation
## Operating Rules
- Prefer objective checks over self-reported completion.
- Prefer deterministic tool evidence over long model summaries: use `rg`, `git diff --stat`, targeted `git diff -- <path>`, tests, builds, linters, `curl`, or database queries when they can prove a criterion.
- Do not paste large command output into the conversation; summarize the evidence and keep raw output in tool calls.
- Do not confuse progress with completion.
- If the worker says "done", verify it.
- If verification fails, continue from the gap instead of restarting blindly.

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@@ -18,7 +18,7 @@ Do not use this skill for ordinary commits that are not being released.
## Versioning Rules
- `feature` -> bump `+0.1.0`
- `feature` -> bump minor and reset patch to `0` (`x.y.z``x.(y+1).0`; for example `0.41.2``0.42.0`)
- `bugfix` -> bump `+0.0.1`
- `docs`, `maintenance`, and `refactor` do not bump by default unless the user explicitly wants a release
@@ -35,6 +35,19 @@ Use `git rev-parse --show-toplevel` to get the repo root. All paths are relative
- `docs/CHANGELOG.md`
- `docs/version-history.md`
## Token-Saving Rule
Release work should be driven by deterministic CLI evidence. Prefer compact commands and targeted file reads:
```bash
git status --short
git diff --stat HEAD
git diff --name-only HEAD
rg -n "version|^## |^Released:|current" VERSION frontend/package.json pyproject.toml docs/CHANGELOG.md docs/version-history.md
```
Do not inspect full diffs unless deciding whether changed code belongs in the release.
## Workflow
### Step 1 — Environment check
@@ -52,8 +65,10 @@ If unrelated uncommitted changes exist, list them and ask the user whether to in
### Step 2 — Determine release type and next version
- If the user provided an explicit type (`feature` / `bugfix`), use it
- Otherwise infer from `git diff HEAD` and recent `git log`
- Compute the next version (e.g. `0.26.2` → bugfix → `0.26.3`)
- Otherwise infer from `git diff --stat HEAD`, `git diff --name-only HEAD`, focused diffs for changed code, and recent `git log`
- Compute the next version:
- `feature`: increment minor and reset patch to `0` (e.g. `0.41.2``0.42.0`)
- `bugfix`: increment patch only (e.g. `0.26.2``0.26.3`)
- **Show the release plan before making any changes:**
```
@@ -104,12 +119,13 @@ Get today's date with `date +%Y-%m-%d`.
Run the smallest relevant validation for the changes in scope:
- Python files changed: `python3 -m py_compile <changed_files>`
- Frontend files changed: run the project-standard check if available; otherwise skip and say so
- Python files changed: list changed Python files with `git diff --name-only HEAD -- '*.py'`, then run `python3 -m py_compile <changed_files>`
- Frontend files changed: list changed frontend files with `git diff --name-only HEAD -- frontend`, then run the project-standard check if available; otherwise skip and say so
- Version consistency: confirm VERSION, package.json, pyproject.toml, and uv.lock all show the same version
```bash
grep -h "version" VERSION frontend/package.json pyproject.toml
cat VERSION
rg -n "\"version\":|^version =|version = " frontend/package.json pyproject.toml uv.lock
```
### Step 7 — Pre-commit preview

18
.dockerignore Normal file
View File

@@ -0,0 +1,18 @@
**
!pyproject.toml
!uv.lock
!VERSION
!backend/
!backend/**
!aiprovider/
!aiprovider/**
backend/.env
backend/.env.*
aiprovider/.env
aiprovider/.env.*
!aiprovider/.env.example
**/__pycache__/
**/*.pyc
**/*.pyo

64
.gitea/workflows/ci.yaml Normal file
View File

@@ -0,0 +1,64 @@
name: ci
on:
push:
branches:
- dev
- main
pull_request:
env:
REGISTRY: gitea.rclaw.top
IMAGE_NAMESPACE: linkong/planet
jobs:
backend:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install uv
run: curl -LsSf https://astral.sh/uv/install.sh | sh
- name: Sync Python dependencies
run: ~/.local/bin/uv sync --group dev
- name: Run backend smoke tests
working-directory: backend
run: PYTHONPATH=. "$GITHUB_WORKSPACE/.venv/bin/python" -m pytest -s tests/test_api.py tests/test_realtime_sources.py -q
frontend:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install Bun
run: curl -fsSL https://bun.sh/install | bash
- name: Build frontend
working-directory: frontend
run: |
~/.bun/bin/bun install --frozen-lockfile
~/.bun/bin/bun run build
delivery:
runs-on: ubuntu-latest
needs:
- backend
- frontend
steps:
- uses: actions/checkout@v4
- name: Install Helm
run: |
mkdir -p "$HOME/.local/bin"
curl -fsSL https://get.helm.sh/helm-v3.15.4-linux-amd64.tar.gz -o /tmp/helm.tar.gz
tar -xzf /tmp/helm.tar.gz -C /tmp
mv /tmp/linux-amd64/helm "$HOME/.local/bin/helm"
echo "$HOME/.local/bin" >> "$GITHUB_PATH"
- name: Docker build smoke
run: |
docker build -t "$REGISTRY/$IMAGE_NAMESPACE/frontend:${GITHUB_SHA}" ./frontend
docker build -t "$REGISTRY/$IMAGE_NAMESPACE/backend:${GITHUB_SHA}" -f backend/Dockerfile .
docker build -t "$REGISTRY/$IMAGE_NAMESPACE/aiprovider:${GITHUB_SHA}" -f aiprovider/Dockerfile .
- name: Helm template smoke
run: |
helm lint deploy/helm/planet
helm template planet-staging deploy/helm/planet \
--namespace planet-staging \
-f deploy/helm/planet/values.single-node.yaml \
--set image.tag="${GITHUB_SHA}" >/tmp/planet-rendered.yaml

View File

@@ -0,0 +1,67 @@
name: deploy-staging
on:
workflow_dispatch:
push:
branches:
- main
env:
REGISTRY: gitea.rclaw.top
IMAGE_NAMESPACE: linkong/planet
RELEASE_NAME: planet-staging
NAMESPACE: planet-staging
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install deploy tools
run: |
mkdir -p "$HOME/.local/bin"
curl -fsSL https://get.helm.sh/helm-v3.15.4-linux-amd64.tar.gz -o /tmp/helm.tar.gz
tar -xzf /tmp/helm.tar.gz -C /tmp
mv /tmp/linux-amd64/helm "$HOME/.local/bin/helm"
curl -fsSL https://dl.k8s.io/release/v1.30.5/bin/linux/amd64/kubectl -o /tmp/kubectl
install -m 0755 /tmp/kubectl "$HOME/.local/bin/kubectl"
echo "$HOME/.local/bin" >> "$GITHUB_PATH"
- name: Configure kubeconfig
run: |
mkdir -p "$HOME/.kube"
printf "%s" "${{ secrets.KUBE_CONFIG_STAGING }}" | base64 -d > "$HOME/.kube/config"
chmod 600 "$HOME/.kube/config"
- name: Deploy Helm release
run: |
kubectl create namespace "$NAMESPACE" --dry-run=client -o yaml | kubectl apply -f -
helm upgrade --install "$RELEASE_NAME" deploy/helm/planet \
--namespace "$NAMESPACE" \
-f deploy/helm/planet/values.single-node.yaml \
--set global.imageRegistry="$REGISTRY" \
--set global.imageNamespace="$IMAGE_NAMESPACE" \
--set image.tag="${GITHUB_SHA}"
- name: Wait for rollout
run: |
kubectl rollout status deployment/planet-frontend -n "$NAMESPACE" --timeout=180s
kubectl rollout status deployment/planet-backend -n "$NAMESPACE" --timeout=180s
kubectl rollout status deployment/planet-aiprovider -n "$NAMESPACE" --timeout=180s
- name: Smoke test services
run: |
kubectl run planet-smoke-${GITHUB_RUN_NUMBER} \
--rm -i --restart=Never \
--namespace "$NAMESPACE" \
--image=curlimages/curl:8.11.1 \
--command -- sh -c '
set -eu
curl -fsS http://planet-frontend:3000/ >/dev/null
curl -fsS http://planet-frontend:3000/health >/dev/null
curl -fsS http://planet-frontend:3000/api/health >/dev/null
curl -fsS http://planet-backend:8000/health >/dev/null
curl -fsS http://planet-aiprovider:8010/health >/dev/null
'
- name: Collect diagnostics on failure
if: failure()
run: |
kubectl get all -n "$NAMESPACE" -o wide || true
kubectl describe pods -n "$NAMESPACE" || true
kubectl logs -n "$NAMESPACE" -l app.kubernetes.io/instance="$RELEASE_NAME" --all-containers --tail=200 || true

View File

@@ -0,0 +1,58 @@
name: release
on:
push:
branches:
- main
tags:
- "v*"
workflow_dispatch:
env:
REGISTRY: gitea.rclaw.top
IMAGE_NAMESPACE: linkong/planet
jobs:
images:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Resolve image tags
id: meta
run: |
echo "sha_tag=${GITHUB_SHA}" >> "$GITHUB_OUTPUT"
if printf "%s" "${GITHUB_REF}" | grep -q '^refs/tags/v'; then
echo "release_tag=${GITHUB_REF_NAME}" >> "$GITHUB_OUTPUT"
else
echo "release_tag=" >> "$GITHUB_OUTPUT"
fi
- name: Login to registry
run: echo "${{ secrets.REGISTRY_PASSWORD }}" | docker login "$REGISTRY" -u "${{ secrets.REGISTRY_USER }}" --password-stdin
- name: Build and push images
run: |
for service in frontend backend aiprovider; do
case "$service" in
frontend)
dockerfile="./frontend/Dockerfile"
context="./frontend"
;;
backend)
dockerfile="backend/Dockerfile"
context="."
;;
aiprovider)
dockerfile="aiprovider/Dockerfile"
context="."
;;
esac
image="$REGISTRY/$IMAGE_NAMESPACE/$service:${{ steps.meta.outputs.sha_tag }}"
docker build -t "$image" -f "$dockerfile" "$context"
docker push "$image"
if [ -n "${{ steps.meta.outputs.release_tag }}" ]; then
release_image="$REGISTRY/$IMAGE_NAMESPACE/$service:${{ steps.meta.outputs.release_tag }}"
docker tag "$image" "$release_image"
docker push "$release_image"
fi
done

9
.gitignore vendored
View File

@@ -8,6 +8,7 @@
.env
.env.local
.env.*.local
config/earth-boundary-sources.local.json
*.pem
*.key
*.crt
@@ -28,6 +29,8 @@ downloads/
eggs/
.eggs/
lib/
!frontend/src/admin/lib/
!frontend/src/admin/lib/**
lib64/
parts/
sdist/
@@ -150,3 +153,9 @@ temp/
# Runtime Data
# ----------------------
data/ai/bgp-briefs/
data/earth-boundary-sources/
# Generated Earth boundary tile artifacts. Keep source configs and builders in
# Git; publish PMTiles/MVT artifacts through release/deploy storage instead of
# committing thousands of generated tile files.
frontend/public/earth/data/boundaries/

264
README.md
View File

@@ -8,68 +8,54 @@
## 系统架构
当前仓库的核心形态是“Web Earth 可视化 + React 运维台 + FastAPI 数据与 AI 编排后端 + 独立模型适配层”。物理大屏与 UE 客户端仍是长期方向,但不再作为本地开发和当前发布的必需运行单元。
```
┌─────────────────────────────────────────────────────────────────────────
物理大屏展示层
│ ┌─────────────────────────────────────────────────────────────────┐
│ │ 偏振片3D大屏 (2m×3m, 4K, 120Hz, 眼镜式)
│ │ ┌─────────────────────────────────────────────────────────┐
│ │ │ 虚幻引擎 UE5 客户端
│ │ │ ├── 3D地球渲染 (Cesium for UE)
│ │ ├── 算力点可视化 (GPU集群、智算中心) │ │
│ │ │ ├── 连接弧线 (光缆、路由、数据流向) │ │ │
│ │ ├── 粒子效果 (数据流动、告警提示) │ │ │
│ └── 自动巡航相机 + 交互控制 │ │ │
│ │ └─────────────────────────────────────────────────────────┘ │ │
└─────────────────────────────────────────────────────────────────┘
─────────────────────────────────────────────────────────────────────────┘
│ WebSocket (实时推送)
│ 120Hz 心跳 / 数据帧同步
┌─────────────────────────────────────────────────────────────────────────┐
数据中台服务层 (FastAPI)
─────────────────────────────────────────────────────────────────┐
│ │ API Gateway (Redis 限流) │ │
│ └─────────────────────────────────────────────────────────────────┘ │
│ │
┌───────────────────┬────────────────────────────────────────────┐
│ 数据采集服务核心业务服务 运维管理服务
│ ┌─────────────┐ │ ┌─────────────────┐ │ ┌─────────────┐ │
│ │ 调度中心 │ │ │ WebSocket 服务 │ │ │ 用户管理 │ │
│ │ │ (Celery) │ │ │ (FastAPI) │ │ │ (JWT Auth) │ │ │
└─────────────┘ └─────────────────┘ │ └─────────────┘ │ │
┌─────────────┐ │ ┌─────────────────┐ │ ┌─────────────┐ │ │
│ 采集器池 │ │ │ 数据查询 API │ │ │ 数据源配置 │ │ │
│ │ │ (10+源) │ │ │ (REST) │ │ │ 监控告警 │ │ │
│ └─────────────┘ │ └─────────────────┘ │ └─────────────┘ │
│ │ ┌─────────────┐ │ ┌─────────────────┐ │ ┌─────────────┐ │ │
│ │ │ 消息队列 │ │ │ 态势分析引擎 │ │ │ 系统配置 │ │ │
│ │ │ (Kafka) │ │ │ (计算/聚合) │ │ │ 日志审计 │ │ │
│ │ └─────────────┘ │ └─────────────────┘ │ └─────────────┘ │ │
│ └───────────────────┴──────────────────────────┴──────────────────┘ │
└─────────────────────────────────────────────────────────────────────────┘
│ 内部 API 调用
┌─────────────────────────────────────────────────────────────────────────┐
│ Web管理端 (React Admin) │
│ ┌─────────────────────────────────────────────────────────────────┐ │
│ │ 登录页 │ 仪表盘 │ 用户管理 │ 数据源配置 │ 任务监控 │ 系统配置 │ │
│ └─────────────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────────────┘
│ PostgreSQL / Redis
┌─────────────────────────────────────────────────────────────────────────┐
│ 数据存储层 │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ PostgreSQL │ │ TimescaleDB │ │ Redis │ │ MinIO │ │
│ │ (用户/配置) │ │ (时序数据) │ │ (缓存/会话) │ │ (文件存储) │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────┐
浏览器展示与运维层
│ ┌──────────────────────────────┐ ┌──────────────────────────────┐ │
│ │ Web Earth │ │ React 运维台 │ │
│ │ frontend/public/earth frontend/src │
│ │ Three.js 地球 / HUD / 新闻 │ 数据源 / 告警 / AI 设置
│ │ 国界精度 / 品牌内容配置 │ 提示词配置 / 用户与系统配置 │ │
└──────────────────────────────┘ └──────────────────────────────┘
└─────────────────────────────────────────────────────────────────────┘
│ REST / WebSocket
─────────────────────────────────────────────────────────────────────┐
FastAPI 业务与编排后端
│ ┌────────────────────┐ ┌────────────────────┐ ┌─────────────────┐ │
│ │ 数据 API 与认证 │ │ Earth 新闻增强 │ │ 告警与态势简报 │ │
│ │ JWT / 权限 / 审计 │ │ 位置推断 / 本地化 │ │ BGP / 告警研判 │ │
│ └────────────────────┘ └────────────────────┘ └─────────────────┘ │
┌────────────────────┐ ┌────────────────────┐ ┌─────────────────┐ │
│ │ 系统运行配置 │ │ 默认提示词注册表 │ │ 未来 Agent Runtime│ │
│ system_settings │ │ 代码发布 + DB 覆盖 │ │ 工具/证据/工作流
────────────────────┘ └────────────────────┘ └─────────────────
└─────────────────────────────────────────────────────────────────────┘
│ SQLAlchemy / Redis Stream │ 纯净 LLM 调用
┌──────────────────────────────┐ ┌──────────────────────────────┐
PostgreSQL / Redis │ aiprovider
用户、配置、采集结果、新闻 │ │ provider + protocol adapter
Stream、缓存、运行状态 │ │ OpenAI / MiniMax / Ollama 等
└──────────────────────────────┘ └──────────────────────────────┘
│ 采集器 / 外部数据源
┌─────────────────────────────────────────────────────────────────────┐
RSS 新闻、BGP 观测、公开数据源、后续 WebSearch/OCR/语音识别等工具
─────────────────────────────────────────────────────────────────────┘
```
架构边界:
- `backend` 负责业务语义、证据收集、提示词选择、AI 任务编排、权限和数据落库。
- `aiprovider` 只负责把纯净模型请求适配到不同供应商或协议,不内置具体业务提示词。
- 默认提示词随代码发布并保存在 `backend/app/ai_tasks/default_prompts.json`,运维台可在数据库中保存覆盖值,重置时回到当前代码版本的默认提示词。
- Earth 新闻保留英文原文,中文展示结果存入 `localizations`,前端默认展示 `zh-CN``display_title``display_summary` 和中文地域/状态文案。
- Earth LLM 指令、语音识别、多角色态势研判属于后续 Agent Runtime 方向,计划见 [docs/plans/agents-earth-command-runtime-plan.md](/home/ray/dev/linkong/planet/docs/plans/agents-earth-command-runtime-plan.md)。
## 四大核心要素
| 层级 | 要素 | 描述 |
@@ -87,11 +73,10 @@
|------|------|------|
| FastAPI | 0.109+ | Web 框架 |
| SQLAlchemy | 2.0+ | ORM |
| Alembic | - | 数据库迁移 |
| Celery | 5.3+ | 任务队列 |
| Redis | 7.0+ | 缓存/消息 |
| Kafka | 3.0+ | 事件流 |
| uv | - | Python 依赖与命令运行 |
| Redis | 7.0+ | 缓存、Stream 与运行协调 |
| PyJWT | - | 认证 |
| APScheduler / 后台任务 | - | 采集、增强与运行时任务 |
### 前端 (React Admin)
@@ -102,6 +87,7 @@
| Axios | HTTP 客户端 |
| Socket.io-client | WebSocket 客户端 |
| ECharts | 统计图表 |
| Three.js | Earth 3D 地球渲染 |
| Bun | 前端包管理与脚本运行 |
前端工程统一使用 Bun
@@ -110,22 +96,16 @@
- 运行脚本使用 `bun run <script>`
- 不使用 `npm``pnpm``yarn`
### 虚幻引擎客户端
### 大屏与 3D 展示方向
| 组件 | 版本 | 用途 |
|------|------|------|
| Unreal Engine 5 | 5.3+ | 3D 渲染引擎 |
| Cesium for Unreal | 1.5+ | 地理可视化 |
| Niagara | - | 粒子系统 |
当前发布优先使用浏览器 Web Earth。UE5 / Cesium for Unreal / Niagara 可作为后续物理大屏方向接入,但不是本地开发闭环的必需组件。
### 数据库
| 组件 | 用途 |
|------|------|
| PostgreSQL 15+ | 关系数据 |
| TimescaleDB | 时序数据扩展 |
| Redis 7+ | 缓存/会话 |
| MinIO | S3 兼容存储 |
| Redis 7+ | 缓存、Stream、运行状态 |
### 部署
@@ -152,9 +132,9 @@
| P0 | Epoch AI | 每小时 |
| P0 | Hugging Face | 每 2 小时 |
| P0 | GitHub | 每 4 小时 |
| P0 每日 |
| P0 | 海底光缆 / IXP / 卫星等基础设施数据 | 每日或按源刷新 |
| P0 | PeeringDB | 每 2 小时 |
| P1 | Cloudflare Radar | | TeleGeography | 每小时 |
| P1 | Cloudflare Radar / TeleGeography | 每小时 |
| P1 | CAIDA BGPStream | 每 15 分钟 |
## 项目结构
@@ -166,20 +146,18 @@
│ │ ├── core/ # 核心配置
│ │ ├── models/ # 数据模型
│ │ ├── schemas/ # Pydantic 模型
│ │ ├── services/ # 业务逻辑
│ │ └── tasks/ # Celery 任务
│ │ ├── services/ # 业务逻辑与 AI 任务编排
│ │ └── ai_tasks/ # 默认提示词与 AI 任务定义
│ └── tests/
├── aiprovider/ # 独立模型供应商适配层
├── frontend/ # React 管理后台
│ ├── src/
│ │ ├── components/ # 组件
│ │ ├── pages/ # 页面
│ │ ├── services/ # API 服务
│ │ └── store/ # 状态管理
── tests/
├── unreal/ # UE5 大屏客户端
│ ├── Content/
│ ├── Source/
│ └── Plugins/
── public/earth/ # Web Earth 静态应用
│ └── tests/ # 前端测试
├── data/ # 数据文件
├── docs/ # 文档
├── scripts/ # 脚本
@@ -191,10 +169,11 @@
## 快速启动
```bash
# 新机器首次初始化
./scripts/bootstrap-dev.sh
# 会自动安装/检查 uv、bun同步 Python/前端依赖
# 新机器或空项目首次初始化
./planet.sh init
# 会自动安装/检查 uv、bun同步 Python/前端依赖
# 会在缺少时生成 backend/.env、aiprovider/.env、frontend/.env.local
# 会启动 PostgreSQL/Redis并创建表、默认数据源和本地默认用户
# 启动前后端服务
./planet.sh start
@@ -210,6 +189,9 @@
# 查看服务状态
./planet.sh health
# 删除容器、卷、镜像和本地编译状态,执行前需要输入 Y 确认
./planet.sh destroy
```
前端命令约定:
@@ -236,13 +218,15 @@ bun run build
推荐按下面顺序排查和配置。
端口占用、`iphlpsvc` / portproxy、摄像头和依赖问题的集中排障入口见 [常见问题](/home/ray/dev/linkong/planet/docs/technical/zh/faq.md)。
### 1. 在 WSL 中启动服务
```bash
./planet.sh start --allow-lan
```
这会让前端监听 `0.0.0.0:3000`,后端监听 `0.0.0.0:8000`
这会让前端监听 `0.0.0.0:3000`,后端监听 `0.0.0.0:8000`AI Provider 通过 Docker 发布到 `0.0.0.0:8010`。启动前脚本会检查这三个端口;如果 WSL/Linux 侧无法释放端口,并检测到 Windows 侧 listener 或旧 `portproxy`,会请求管理员 PowerShell 清理
### 2. 先确认 WSL 内部服务正常
@@ -251,14 +235,16 @@ bun run build
```bash
curl http://localhost:3000
curl http://localhost:8000/health
ss -ltnp | grep -E ':3000|:8000'
curl http://localhost:8010/health
ss -ltnp | grep -E ':3000|:8000|:8010'
```
预期:
- `3000` 返回前端 HTML
- `8000/health` 返回健康检查 JSON
- `ss` 中能看到 `0.0.0.0:3000``0.0.0.0:8000`
- `8010/health` 返回 AI Provider 健康检查 JSON
- `ss` 中能看到 `0.0.0.0:3000``0.0.0.0:8000``0.0.0.0:8010`,或 Docker 已发布 `8010`
如果这一步不通,先不要继续做 Windows 转发。
@@ -269,42 +255,31 @@ ss -ltnp | grep -E ':3000|:8000'
```powershell
curl http://localhost:3000
curl http://localhost:8000/health
curl http://localhost:8010/health
```
在常见的 WSL2 开发环境下Windows 通常可以直接通过 `localhost` 访问 WSL 中的服务。
### 4. 如果需要让局域网设备访问,再做 Windows 端口转发
### 4. 如果需要让局域网设备访问,清理端口和防火墙
注意:下面的命令必须在“以管理员身份运行”的 PowerShell 中执行
`./planet.sh start --allow-lan` 不再启动额外的 Windows 端口转发进程。它直接让开发服务对 `3000` / `8000` / `8010` 开放,并在启动前尝试释放这些端口。端口被 Windows 侧 listener 或旧 `portproxy` 占用时,脚本会请求一次管理员 PowerShell 清理
先把 Windows 对外网卡上的 `3000` / `8000` 转发到 Windows 本机 `127.0.0.1`
如果以前手动配置过持久 `portproxy`,若自动请求被取消,可以手动清理,避免 `iphlpsvc` 继续占用端口
```powershell
netsh interface portproxy delete v4tov4 listenaddress=0.0.0.0 listenport=3000
netsh interface portproxy delete v4tov4 listenaddress=0.0.0.0 listenport=8000
netsh interface portproxy add v4tov4 listenaddress=0.0.0.0 listenport=3000 connectaddress=127.0.0.1 connectport=3000
netsh interface portproxy add v4tov4 listenaddress=0.0.0.0 listenport=8000 connectaddress=127.0.0.1 connectport=8000
netsh interface portproxy delete v4tov4 listenaddress=0.0.0.0 listenport=8010
```
再放行 Windows 防火墙:
脚本会检测 Windows 防火墙是否已放行 `3000` / `8000` / `8010`。如果缺少规则,会触发一次 Windows UAC 管理员 PowerShell 请求来自动创建。若自动请求被取消,也可以手动执行
```powershell
New-NetFirewallRule -DisplayName "WSL Planet 3000" -Direction Inbound -Action Allow -Protocol TCP -LocalPort 3000
New-NetFirewallRule -DisplayName "WSL Planet 8000" -Direction Inbound -Action Allow -Protocol TCP -LocalPort 8000
New-NetFirewallRule -DisplayName "WSL Planet 8010" -Direction Inbound -Action Allow -Protocol TCP -LocalPort 8010
```
检查转发规则是否生效:
```powershell
netsh interface portproxy show all
```
预期能看到:
- `0.0.0.0:3000 -> 127.0.0.1:3000`
- `0.0.0.0:8000 -> 127.0.0.1:8000`
### 5. 查 Windows 局域网 IP并让其他设备访问
在 Windows PowerShell 中执行:
@@ -319,6 +294,8 @@ ipconfig
- `http://<Windows局域网IP>:3000/earth`
- `http://<Windows局域网IP>:3000/admin`
- `http://<Windows局域网IP>:8000/health`
- `http://<Windows局域网IP>:8010/health`
例如:
@@ -327,7 +304,7 @@ ipconfig
### 6. 常见现象与判断
- WSL 中 `curl localhost:3000` 能通,但 Windows 访问 `WSL 的局域网 IP:3000` 不通:这是正常现象之一,优先验证 Windows 的 `localhost:3000`
- Windows `localhost:3000` 能通,但局域网设备访问 `Windows 局域网 IP:3000` 不通:通常缺少 `portproxy` 或防火墙放行
- Windows `localhost:3000` 能通,但局域网设备访问 `Windows 局域网 IP:3000` 不通:通常是 Windows 防火墙、网络配置或旧 `portproxy` 残留
- `whoami /groups``S-1-5-32-544` 显示 `deny only`:说明当前 PowerShell 不是提权管理员窗口
### 7. 本项目一次性验证顺序
@@ -336,10 +313,12 @@ ipconfig
1. WSL 中执行 `curl http://localhost:3000`
2. WSL 中执行 `curl http://localhost:8000/health`
3. Windows 中执行 `curl http://localhost:3000`
4. Windows 中执行 `curl http://localhost:8000/health`
5. 管理员 PowerShell 配置 `portproxy` 和防火墙
6. 用手机或其他电脑访问 `http://<Windows局域网IP>:3000/earth`
3. WSL 中执行 `curl http://localhost:8010/health`
4. Windows 中执行 `curl http://localhost:3000`
5. Windows 中执行 `curl http://localhost:8000/health`
6. Windows 中执行 `curl http://localhost:8010/health`
7. 按脚本提示完成 Windows 防火墙或端口清理 UAC 请求
8. 用手机或其他电脑访问 Windows 对外端口,例如 `http://<Windows局域网IP>:3000/earth`
## 启动容错参数
@@ -363,18 +342,27 @@ DATABASE_RETRY_INTERVAL=10 \
- `AI_PROVIDER_START_MAX_RETRIES` / `AI_PROVIDER_RETRY_INTERVAL`: 控制 `aiprovider` 的构建/启动与容器重启自愈,默认 `3` 次、`5`
- `BACKEND_MAX_RETRIES`: 控制后端进程启动重试次数,默认 `3`
- `FRONTEND_MAX_RETRIES`: 控制前端 dev server 启动重试次数,默认 `3`
- `BACKEND_HEALTH_CHECK_ATTEMPTS` / `BACKEND_HEALTH_CHECK_INTERVAL`: 控制后端 HTTP 健康检查等待次数与间隔,默认 `10` 次、`2`
- `BACKEND_HEALTH_CHECK_ATTEMPTS` / `BACKEND_HEALTH_CHECK_INTERVAL`: 控制后端 HTTP 健康检查等待次数与间隔,默认 `60` 次、`2`
- `FRONTEND_HEALTH_CHECK_ATTEMPTS` / `FRONTEND_HEALTH_CHECK_INTERVAL`: 控制前端 HTTP 可访问检查等待次数与间隔,默认 `10` 次、`2`
- `AI_PROVIDER_HEALTH_CHECK_ATTEMPTS` / `AI_PROVIDER_HEALTH_CHECK_INTERVAL`: 控制 `aiprovider` HTTP 健康检查等待次数与间隔,默认 `10` 次、`2`
## AI 接口预留
## AI 与智能体接口
项目现在采用“两层”设计:
项目现在采用“三段式”边界:
- 主后端暴露稳定业务接口: `GET /api/v1/ai/provider/status``POST /api/v1/ai/situational-awareness/analyze`
- 独立 `aiprovider` 服务负责适配具体模型供应商
- `backend`: 暴露业务接口,负责选择任务提示词、组织证据、调用工具、保存 AI 设置和结果。
- `aiprovider`: 暴露模型网关接口,只负责 provider / protocol 适配,不写入 BGP、新闻、告警等业务提示词。
- 模型供应商: OpenAI 兼容、MiniMax、Anthropic、Ollama 或其他兼容网关。
这样前端和业务代码不直接依赖 OpenAI、本地模型网关或其他订阅服务后续切换部署方式只需要调整环境变量
这样前端和业务代码不直接依赖某个模型供应商,后续增加 Agent Runtime、Earth 一键 LLM 指令、语音识别或多角色态势研判时,也可以把业务工作流放在后端,而不是污染模型适配层
当前已落地的 AI 配置能力:
- 运维台 AI 设置可维护 provider、模型、协议、超时、token 等运行配置。
- 运维台 AI 设置中的“提示词”页可选择不同功能入口,手动覆盖提示词,并一键重置到默认值。
- 默认提示词随代码发布,位于 [backend/app/ai_tasks/default_prompts.json](/home/ray/dev/linkong/planet/backend/app/ai_tasks/default_prompts.json)。
- 覆盖值保存在数据库运行配置中,升级代码后可继续保留现场配置,也可重置到新版本默认提示词。
- 态势摘要、告警研判、新闻本地化等入口应使用各自任务提示词;调用 `aiprovider` 时只传递当前任务所需的 `prompt` / `system_prompt`
主后端建议配置:
@@ -387,39 +375,33 @@ AI_PROVIDER_TIMEOUT_SECONDS=60
`aiprovider` 服务建议配置:
```env
AI_PROVIDER=openai_compatible
AI_BASE_URL=https://api.openai.com/v1
AI_PROVIDER=minimax
AI_PROVIDER_API=anthropic-messages
AI_BASE_URL=https://api.minimaxi.com/anthropic
AI_API_KEY=your_api_key
AI_MODEL=gpt-4o-mini
AI_MODEL=MiniMax-M2.7
AI_TIMEOUT_SECONDS=60
AI_PROVIDER_SERVICE_TOKEN=change_me
```
OpenAI 兼容场景推荐使用:
推荐映射关系:
- `AI_PROVIDER=openai_compatible`
- `vLLM` / `LM Studio` / `One API`: `AI_PROVIDER=openai` + `AI_PROVIDER_API=openai-completions`
- `MiniMax`: `AI_PROVIDER=minimax` + `AI_PROVIDER_API=anthropic-messages`
- Claude 兼容网关: `AI_PROVIDER=anthropic` + `AI_PROVIDER_API=anthropic-messages`
- `Ollama`: `AI_PROVIDER=ollama` + `AI_PROVIDER_API=ollama-generate`
Claude 兼容场景推荐使用:
- `AI_PROVIDER=anthropic`
- `AI_PROVIDER=anthropic_compatible`
- `AI_PROVIDER=claude_compatible`
Ollama 原生场景推荐使用:
- `AI_PROVIDER=ollama`
比如 MiniMax 或其他 Claude 兼容网关,可以这样配置:
比如 MiniMax 可以这样配置:
```env
AI_PROVIDER=claude_compatible
AI_BASE_URL=https://your-claude-compatible-endpoint.example.com
AI_PROVIDER=minimax
AI_PROVIDER_API=anthropic-messages
AI_BASE_URL=https://api.minimaxi.com/anthropic
AI_API_KEY=your_api_key
AI_MODEL=your-claude-compatible-model
AI_MODEL=MiniMax-M2.7
AI_TIMEOUT_SECONDS=60
AI_MAX_TOKENS=1200
AI_ANTHROPIC_VERSION=2023-06-01
AI_PROVIDER_SERVICE_TOKEN=change_me
```
如果你要本地直接起模型适配层,项目里已经补了模板:
@@ -427,12 +409,6 @@ AI_PROVIDER_SERVICE_TOKEN=change_me
- [aiprovider/.env.example](/home/ray/dev/linkong/planet/aiprovider/.env.example)
- [docker-compose.local-model.yml](/home/ray/dev/linkong/planet/docker-compose.local-model.yml)
推荐映射关系:
- `vLLM` / `LM Studio` / `One API`: `AI_PROVIDER=openai_compatible`
- `MiniMax` / Claude 兼容网关: `AI_PROVIDER=claude_compatible`
- `Ollama`: `AI_PROVIDER=ollama`
运行与调用补充:
- `./planet.sh start` 默认会启动 `aiprovider`
@@ -442,11 +418,13 @@ AI_PROVIDER_SERVICE_TOKEN=change_me
详细文档:
- [docs/technical/agents-aiprovider.md](/home/ray/dev/linkong/planet/docs/technical/agents-aiprovider.md)
- [docs/technical/zh/agents-aiprovider.md](/home/ray/dev/linkong/planet/docs/technical/zh/agents-aiprovider.md)
- [docs/technical/en/agents-aiprovider.md](/home/ray/dev/linkong/planet/docs/technical/en/agents-aiprovider.md)
- [aiprovider/README.md](/home/ray/dev/linkong/planet/aiprovider/README.md)
- [docs/technical/frontend-layout-guidelines.md](/home/ray/dev/linkong/planet/docs/technical/frontend-layout-guidelines.md)
- [docs/plans/frontend-ai-playground-development-plan.md](/home/ray/dev/linkong/planet/docs/plans/frontend-ai-playground-development-plan.md)
- [docs/plans/agents-situational-awareness-foundation-plan.md](/home/ray/dev/linkong/planet/docs/plans/agents-situational-awareness-foundation-plan.md)
- [docs/plans/agents-earth-command-runtime-plan.md](/home/ray/dev/linkong/planet/docs/plans/agents-earth-command-runtime-plan.md)
## 前端页面布局规范

120
TODO.md
View File

@@ -1,37 +1,87 @@
# TODO
- [x] 把 BGP 观测站和异常点的 `hover/click` 手感再磨细一点
- [x] 开始做 BGP 异常和海缆/区域的关联展示
- [x] 做 Earth 侧的 `BGP activity layer`,让低 incident 密度时地图仍然有持续可感知的观测存在感
- [x] 给 Earth BGP 补三层状态表达:`平稳观测态 / 局部波动态 / 事件活跃态`
- [x] 把“当前无活跃事件”改造成“观测网络仍在运行、当前未发现聚合级事件”的状态表达
- [x] 做 collector / region 近 15 分钟 activity score 聚合接口或动态聚合逻辑
- [x] Earth 的 BGP incident 改成 `紧凑事件核 + 向外扩张环形 pulse`,替换当前大面积 glow
- [x] 为 BGP incident 建立符号系统:按事件类型用不同 marker而不是都用同一种亮点
- [x] 把 incident 地理定位从 `collector-centric` 改成 `prefix-centric`,优先使用 `prefix_geography`,其次 `prefix_scope`,再次 ASN 区域,最后才回退到观测区域质心
- [x] 新增 `prefix_geography` 数据层,不再把 `prefix_scope` 当成 prefix 地理归属本身
- [x] 接入 `IPtoASN / IPtoCountry` 作为 prefix-centric geography 的主数据源
- [x] 接入 `OpenGeoFeed` 作为 prefix geography 的高质量覆盖/override 数据源
- [x] 把 RIR delegated 设计成 prefix geography 的 fallback而不是主来源
- [ ] `aiprovider` 建立 `provider -> api adapter -> compat policy` 的配置中心,优先落成 `json``yaml` 文件,运行时按 `provider/model` 读取兼容设置,而不是把专项兼容继续散落在 Python 分支里
- [ ] 为市面上主流 AI 服务补专项兼容配置并固化到配置文件中,至少覆盖 `OpenAI / Anthropic / MiniMax / Ollama / Moonshot / DeepSeek / Qwen / GLM / Gemini / OpenRouter / vLLM / LM Studio / One API`
- [ ] 在兼容配置中补齐可声明项:`api adapter``base_url pattern``auth header``thinking default``reasoning block mapping``stream path``tool-call capability``multimodal capability``provider-specific request patch`
- [ ] 接入 `inetnum` / `inet6num` whois 作为比 RIR 更细粒度的后备层
- [x] 在 activity layer 之后继续补 `route leak``path instability / flap` detector
- [ ] 对 [frontend/public/earth/js/bgp.js](/home/ray/dev/linkong/planet/frontend/public/earth/js/bgp.js) 做按职责拆分的小重构,拆成 data / markers / overlays / animation降低后续维护复杂度
- [ ] 可选优化(非必做):将 BGP incident/collector 标点改为 HTML marker参考 worldmonitor 的 `htmlElementsData` 思路),实现近乎固定屏幕尺寸与更高密度可点击性
- [ ] 保持 Earth 当前这批纯个人偏好设置继续走本地持久化:`旋转模式`、HUD 面板显示/隐藏、`地形透明度` 暂不升级到后端系统设置,避免把设备级偏好过早做成全局配置
- [ ] 如果后续明确需要“账号级同步 Earth 偏好”,再单独设计 `Earth user preferences`:优先按用户维度而不是全局系统设置保存,并规划 `localStorage -> backend` 的平滑迁移策略
- [ ] 为 Planet / Earth 补一个可用的日志查看系统:先明确前后端/AI Provider/采集任务的日志入口、最近日志聚合、筛选与 tail 能力,再决定是先做脚本级统一入口还是控制台内置日志面板
- [ ] 把 Earth 态势新闻源从 [earth_news.py](/home/ray/dev/linkong/planet/backend/app/services/earth_news.py) 的硬编码列表抽成可配置目录,优先保持当前“实时聚合”链路不变,只先解决新闻源不可配置的问题
- [ ] 为 Earth 态势新闻设计后续采集器化方案:明确新闻数据模型、去重策略、区域映射、过期清理和 Earth/AI 复用方式,再决定何时把新闻从实时抓取升级成正式 collector
- [ ] 为 Earth 地球表面增加一层与基础纹理对齐的材质/纹理 overlay并在同层叠加国界轮廓参考线要求国界线与底图稳定对齐且 hover 到国家轮廓时能高亮当前国家,便于校准地表和增强交互
- [ ] 把 Earth 新闻接入通用巡航队列:按新闻发生地和时间排序生成巡航目标,巡航聚焦到新闻事件时显示对应新闻卡片,并保持实现边界为“通用巡航层 + 新闻业务适配层”,不要再把新闻逻辑直接耦合回 `main.js` 状态机
- [ ] 为未知位置的算力中心建立分层坐标补全链路:优先 `精确坐标 > 站点/园区命中 > 城市 > 州/省 > 国家内主要算力城市 > 国家质心`,并把每次回退的 `confidence / reason / precision` 明确写进统一 GeoJSON
- [ ] 为算力中心补一份可维护的本地位置注册表,例如 `canonical_name / aliases / operator / country / region / city / lat / lon / confidence / source_note`,避免把地点知识长期硬编码在 `visualization.py`
- [ ] 增强 `epoch_ai_gpu` 和相关算力采集器的源页面解析:即使公开 API 不给坐标也继续尝试从详情页、HTML、内嵌 JSON、schema.org、OpenGraph、脚本变量和 PDF/新闻稿链接里抽地点线索
- [ ] 为未知位置算力中心增加外部富化策略评估:可选接入公开知识源或搜索兜底,只抓“站点名/园区名/城市名”级别线索,不直接抓经纬度结论,并把结果作为候选证据而不是真值
- [ ] 为算力中心建立 `operator / cluster name / facility alias` 归一化层,先解决 `xAI / Colossus / Memphis``OpenAI / Stargate``CoreWeave``Lambda``Crusoe` 这类同一对象多种写法导致的地点匹配失败
- [ ] 为估算位置增加更细的视觉和产品表达:除了问号角标,还要支持 tooltip/详情中的“估算依据”“精度级别”“最后核验时间”,并允许在设置中单独开关“仅看精确位置”
- [ ] 为国家级估算点设计更合理的落点策略:优先落在“该国主要算力/数据中心城市候选集”而不是几何质心,必要时同国多节点做稳定散列分配,避免大量节点堆在荒漠或海上
- [ ] 为未知位置算力中心建立人工校验工作流:支持导出待核验清单、记录人工确认结果,并把人工确认反哺到位置注册表,逐步减少问号点比例
This file is the active backlog only. Completed history belongs in `docs/CHANGELOG.md`; detailed designs belong in `docs/plans/`.
## Earth
- [ ] Earth AI command entry: merge natural-language and speech-triggered LLM commands into the existing Earth search panel as described in [Agent Runtime, Earth LLM Command, And Speech Entry Plan](/home/ray/dev/linkong/planet/docs/plans/agents-earth-command-runtime-plan.md).
- [ ] Earth action executor: implement safe visualization actions for layer toggles, batch highlights, filters, focus, result panels, and clear-highlight behavior.
- [ ] Earth entity matching: support stable entity ids and batch matching for Beidou satellites, mainland China compute centers, BGP, news, vessels, and cables.
- [ ] Replace debug GeoJSON boundary tiles with the real `earth-boundaries-china-pov-v1.pmtiles` production artifact after audited admin-0 / coastline / claim-line sources and the PMTiles toolchain are available.
- [ ] Import authoritative China POV / coastline / claim-line source packages through the three standard Earth boundary source collectors, then rebuild a versioned PMTiles artifact so highest zoom `8-10` preserves trusted source geometry instead of seed data.
- [ ] Earth boundary data: acquire or generate auditable China POV geometry for Zangnan, Aksai Chin, Taiwan/Penghu, Diaoyu Dao and affiliated islands, Chiwei Yu, South China Sea islands, Kosovo, Gaza, and the official dashed maritime claim line before implementing final visual changes.
- [ ] Earth high-resolution basemap tiles: implement the viewport-loaded imagery layer described in [Earth High Resolution Basemap Tiles Plan](/home/ray/dev/linkong/planet/docs/plans/earth-high-resolution-basemap-tiles-plan.md), using high-precision coastline as the alignment reference instead of replacing the globe with one huge texture.
- [ ] Presentation controller ownership: replace the singleton card fallback in [presentation-controller.js](/home/ray/dev/linkong/planet/frontend/public/earth/js/presentation-controller.js) with a presentation/card token check before BGP/News migrate onto the shared controller, so connectors only attach to their owning card.
- [ ] BGP frontend maintainability: split [bgp.js](/home/ray/dev/linkong/planet/frontend/public/earth/js/bgp.js) by responsibility into data loading, marker rendering, overlays, and animation once the current interaction behavior is stable.
- [ ] Optional BGP marker experiment: evaluate HTML markers for BGP incident/collector points if WebGL marker density or fixed screen-size clickability becomes a real blocker.
- [ ] Earth news cruise: connect Earth news to the generic cruise queue via a news adapter rather than coupling news-specific sequencing into `main.js`.
## Compute Centers And Location
- [ ] Unknown compute-center locations: continue reducing unresolved records through the shared location pipeline, with confidence, precision, reason, and verification date preserved in GeoJSON/details.
- [ ] Compute-center registry: keep expanding the local canonical location registry with `canonical_name`, aliases, operator, country/region/city, coordinates, confidence, and source notes.
- [ ] Compute-center enrichment: improve source-page parsing for Epoch AI and related collectors by extracting location clues from detail pages, embedded JSON, schema.org, OpenGraph, script variables, PDFs, and press releases.
- [ ] Compute-center identity normalization: normalize operator / cluster / facility aliases such as `xAI / Colossus / Memphis`, `OpenAI / Stargate`, `CoreWeave`, `Lambda`, and `Crusoe`.
- [ ] Compute-center manual review: add an export/review/import workflow for unresolved or estimated locations and feed confirmed results back into the registry.
## AIS / Vessels
- [ ] AIS aggregation strategy v4: expose source priority, field-level merge rules, freshness windows, and protected dynamic-field rules in configuration, with validation and strategy version returned by vessel APIs.
- [ ] AIS vessel enrichment v5: add asynchronous vessel profile enrichment for ship type detail, AIS class, flag, dimensions, build year, operator, and cached media. Do not fetch third-party pages in the realtime AIS request path.
- [ ] AIS identity cleanup: continue identifying vessels whose display name is only `MMSI <number>` and backfill names from AISStream static messages, BarentsWatch static fields, or enrichment cache.
## AI Provider And Agents
- [ ] Unified integration config schema: implement the shared low-code schema engine for datasource, AI Provider, Web Search, and OCR configuration described in [Integration Config Schema System Plan](/home/ray/dev/linkong/planet/docs/plans/integration-config-schema-system-plan.md).
- [ ] AI provider routing: finish the OpenClaw-style provider/model routing refactor described in [AI Provider OpenClaw-Style Routing Plan](/home/ray/dev/linkong/planet/docs/plans/ai-provider-openclaw-style-routing-plan.md), so model-specific transport rules live in provider metadata rather than runtime hardcoding.
- [ ] AI provider catalog: replace the temporary `model_provider_apis` bridge with structured `models_metadata`, discovery descriptors, and incremental model sync with stale marking.
- [ ] AI provider connectivity: keep the plug action as lightweight network/auth/model-directory validation only, and keep real generation tests inside Playground or explicit “trial run” actions.
- [ ] Agent runtime foundation: add auditable agent runs, steps, evidence, proposals, and the Agent operations UI described in [Agent Runtime, Earth LLM Command, And Speech Entry Plan](/home/ray/dev/linkong/planet/docs/plans/agents-earth-command-runtime-plan.md).
- [ ] Agent tool protocol: add backend JSON tool-call fallback, optional provider-native tool compatibility, tool whitelist validation, and policy-gated proposal application.
- [ ] Speech/ASR integration for agents: add provider-neutral transcription settings and API, defaulting to Whisper-compatible API providers while keeping text commands usable when ASR is unavailable.
- [ ] Earth voice wake: add device-local configurable wake-word preferences, microphone fallback states, and post-wake instruction upload for Earth commands.
- [ ] AI provider compatibility center: move provider/model compatibility rules into a JSON/YAML config read by runtime, instead of continuing to scatter provider-specific branches through Python code.
- [ ] Provider compatibility coverage: add explicit config for OpenAI, Anthropic, MiniMax, Ollama, Moonshot, DeepSeek, Qwen, GLM, Gemini, OpenRouter, vLLM, LM Studio, and One API.
- [ ] Compatibility schema: cover adapter type, base URL pattern, auth header, thinking/reasoning defaults, stream path, tool-call capability, multimodal capability, and provider-specific request patches.
- [ ] BGP geography fallback: evaluate `inetnum` / `inet6num` whois as a finer fallback layer after `prefix_geography`, `OpenGeoFeed`, and RIR delegated data.
## Platform
- [ ] Earth preferences scope: keep current device-local Earth preferences in `localStorage`; only design backend user preferences if account-level synchronization becomes a real product requirement.
- [ ] System logs: finish a usable Planet log viewing flow that covers backend, frontend, AI Provider, and collector/task logs, with filtering and tailing.
- [ ] Console UI modernization: gradually replace Ant Design with Planet-owned components and a consistent Tabler Icons based icon system.
- [ ] Earth live sync: design a unified realtime invalidation path for summary/BGP/satellite updates if polling and current WebSocket channels become insufficient.
## Archive
Archived items stay here so old context is not lost. Completed items remain checked; obsolete, invalid, or superseded items stay unchecked and include the reason.
### Completed
- [x] Implemented the high-precision country boundary tile framework from [Earth High Precision Boundary Tiles Plan](/home/ray/dev/linkong/planet/docs/plans/earth-high-precision-boundary-tiles-plan.md): static vector tile builder, versioned seed output, frontend bbox tile loader, debounce, in-flight dedupe, and LRU cache.
- [x] Added the `pmtiles-mvt` frontend tile provider contract, MVT decoder dependencies, static PMTiles Nginx handling, collector artifact registration, production readiness check, and user operation docs for Earth boundaries.
- [x] Split Earth boundary ingestion into standard source collectors (`earth_admin0_boundaries`, `earth_coastline`, `earth_claim_lines`) plus the downstream `earth_boundary_tiles` PMTiles builder.
- [x] Refined BGP observer and anomaly `hover/click` feel.
- [x] Added BGP anomaly relationship display with cables / regions.
- [x] Added the Earth BGP activity layer so the map still feels alive when incident density is low.
- [x] Added BGP state expression for stable observation, local fluctuation, and active incident states.
- [x] Reframed "no active incident" as "observation network is running; no aggregate incident detected".
- [x] Added collector / region recent activity scoring.
- [x] Replaced oversized BGP incident glow with compact incident core plus outward pulse rings.
- [x] Added BGP incident symbol types instead of using one generic bright marker.
- [x] Switched BGP incident geography from collector-centric to prefix-centric priority.
- [x] Added `prefix_geography` as a separate data layer instead of treating `prefix_scope` as prefix geography.
- [x] Added IPtoASN / IPtoCountry as the main prefix-centric geography source.
- [x] Added OpenGeoFeed as a high-quality prefix geography override source.
- [x] Made RIR delegated data a prefix geography fallback rather than the primary source.
- [x] Added route leak and path instability / flap detectors after the activity layer work.
### Obsolete Or Superseded
- [ ] AIS v3.1 old `/geo/vessels` full-merge requirement. Superseded by `/api/v1/vessels/snapshot`, controlled legacy fallback, and diagnostics in the AIS aggregation plan.
- [ ] AIS v3.2 old framing of AISStream as a batch collector that needed conversion. Superseded by the implemented long-lived AISStream collector and realtime stream UI.
- [ ] AIS v3.3 old one-shot REST progress semantics for AISStream. Superseded by realtime stream status handling.
- [ ] AIS v3.4 broad identity cleanup wording. Folded into the active AIS identity cleanup and v5 enrichment tasks.
- [ ] Earth surface material overlay for boundary calibration. Superseded by the high-precision boundary tile plan; future work must use source-faithful boundary/coastline data rather than overlay calibration against the coarse base map.
- [ ] Hardcoded Earth news source extraction as a standalone task. Superseded by the broader Earth news source configuration and collector plans.
- [ ] Country-level compute-center fallback placement as a standalone task. Superseded by the shared location pipeline and registry/manual-review backlog.

View File

@@ -1 +1 @@
0.40.3
0.66.3

View File

@@ -32,6 +32,15 @@ AI_API_KEY=sk-cp-change-me
AI_MAX_TOKENS=1200
AI_ANTHROPIC_VERSION=2023-06-01
# Optional provider-specific keys used by Settings fallback before AI_API_KEY
# MINIMAX_API_KEY=sk-cp-change-me
# OPENAI_API_KEY=sk-change-me
# ANTHROPIC_API_KEY=sk-ant-change-me
# DEEPSEEK_API_KEY=sk-change-me
# DASHSCOPE_API_KEY=sk-change-me
# MOONSHOT_API_KEY=sk-change-me
# OPENROUTER_API_KEY=sk-or-change-me
# OpenAI-compatible example (vLLM / LM Studio / One API / local gateway)
# AI_PROVIDER=openai
# AI_PROVIDER_API=openai-completions

View File

@@ -1,6 +1,16 @@
FROM python:3.14-slim
# syntax=docker/dockerfile:1.7
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
ARG PYTHON_IMAGE=python:3.14-slim
ARG UV_IMAGE=ghcr.io/astral-sh/uv:latest
ARG AI_PROVIDER_BUILD_FINGERPRINT=unknown
FROM ${UV_IMAGE} AS uv
FROM ${PYTHON_IMAGE}
ARG AI_PROVIDER_BUILD_FINGERPRINT
LABEL planet.aiprovider.build-fingerprint="${AI_PROVIDER_BUILD_FINGERPRINT}"
COPY --from=uv /uv /uvx /bin/
WORKDIR /app
@@ -9,15 +19,22 @@ ENV PYTHONUNBUFFERED=1
ENV UV_COMPILE_BYTECODE=1
ENV UV_LINK_MODE=copy
RUN mkdir -p /root/.config/uv
RUN apt-get update && apt-get install -y --no-install-recommends \
curl \
&& rm -rf /var/lib/apt/lists/*
COPY pyproject.toml uv.lock /app/
RUN uv sync --frozen --no-dev
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=secret,id=planet_uv_config,target=/root/.config/uv/uv.toml,required=false \
uv sync --frozen --no-dev
COPY . /app
COPY aiprovider /app/aiprovider
EXPOSE 8010
CMD ["uv", "run", "--frozen", "--no-dev", "--project", "/app", "python", "-m", "uvicorn", "aiprovider.main:app", "--host", "0.0.0.0", "--port", "8010", "--reload"]
HEALTHCHECK --interval=30s --timeout=5s --retries=3 \
CMD curl -fsS http://127.0.0.1:8010/health >/dev/null || exit 1
CMD ["uv", "run", "--frozen", "--no-dev", "--project", "/app", "python", "-m", "uvicorn", "aiprovider.main:app", "--host", "0.0.0.0", "--port", "8010"]

View File

@@ -17,9 +17,6 @@ class Settings(BaseSettings):
AI_HTTP_RETRY_ATTEMPTS: int = 2
AI_MAX_TOKENS: int = 1200
AI_ANTHROPIC_VERSION: str = "2023-06-01"
AI_ANALYSIS_SYSTEM_PROMPT: str = (
"你是态势感知分析助手。请基于输入的上下文、观测与约束,输出结构化、克制、可执行的分析。"
)
AI_PROVIDER_SERVICE_TOKEN: str = ""

View File

@@ -37,8 +37,28 @@ def verify_service_token(x_provider_token: str | None = Header(default=None)) ->
)
def get_provider_service() -> ProviderService:
return ProviderService()
def get_provider_service(
x_ai_provider: str | None = Header(default=None),
x_ai_provider_api: str | None = Header(default=None),
x_ai_base_url: str | None = Header(default=None),
x_ai_api_key: str | None = Header(default=None),
x_ai_model: str | None = Header(default=None),
x_ai_max_tokens: str | None = Header(default=None),
x_ai_anthropic_version: str | None = Header(default=None),
x_ai_model_provider_apis: str | None = Header(default=None),
) -> ProviderService:
overrides = {
"provider": x_ai_provider,
"provider_api": x_ai_provider_api,
"base_url": x_ai_base_url,
"api_key": x_ai_api_key,
"model": x_ai_model,
"anthropic_version": x_ai_anthropic_version,
"model_provider_apis": x_ai_model_provider_apis,
}
if x_ai_max_tokens:
overrides["max_tokens"] = x_ai_max_tokens
return ProviderService({key: value for key, value in overrides.items() if value not in (None, "")})
@app.get("/health")

View File

@@ -1,6 +1,7 @@
from __future__ import annotations
import asyncio
import json
from typing import Any
import httpx
@@ -14,7 +15,6 @@ from aiprovider.schemas import (
SituationalAnalysisResponse,
)
def _normalize_provider(value: str) -> str:
return (value or "disabled").strip().lower()
@@ -46,20 +46,25 @@ def _resolve_provider_api(provider: str, configured_api: str) -> str:
class ProviderService:
def __init__(self) -> None:
self.provider = _normalize_provider(settings.AI_PROVIDER)
def __init__(self, overrides: dict[str, Any] | None = None) -> None:
overrides = overrides or {}
self.provider = _normalize_provider(overrides.get("provider") or settings.AI_PROVIDER)
self.provider_api = _resolve_provider_api(
self.provider,
_normalize_provider_api(settings.AI_PROVIDER_API),
_normalize_provider_api(overrides.get("provider_api") or settings.AI_PROVIDER_API),
)
self.base_url = settings.AI_BASE_URL.rstrip("/")
self.api_key = settings.AI_API_KEY
self.default_model = settings.AI_MODEL
self.base_url = str(overrides.get("base_url") or settings.AI_BASE_URL).rstrip("/")
self.api_key = str(overrides.get("api_key") or settings.AI_API_KEY)
self.default_model = str(overrides.get("model") or settings.AI_MODEL)
self.timeout = settings.AI_TIMEOUT_SECONDS
self.http_retry_attempts = max(settings.AI_HTTP_RETRY_ATTEMPTS, 1)
self.max_tokens = settings.AI_MAX_TOKENS
self.anthropic_version = settings.AI_ANTHROPIC_VERSION
self.system_prompt = settings.AI_ANALYSIS_SYSTEM_PROMPT
self.max_tokens = int(overrides.get("max_tokens") or settings.AI_MAX_TOKENS)
self.anthropic_version = str(
overrides.get("anthropic_version") or settings.AI_ANTHROPIC_VERSION
)
self.model_provider_apis = self._parse_model_provider_apis(
overrides.get("model_provider_apis")
)
def get_status(self) -> AIProviderStatusResponse:
enabled = self.provider != "disabled"
@@ -91,16 +96,23 @@ class ProviderService:
prompt = self._build_prompt(payload)
if self.provider_api == "openai-completions":
data = await self._request_openai_compatible(model, prompt)
provider_api = self._resolve_model_provider_api(model)
if provider_api == "openai-completions":
data = await self._request_openai_compatible(model, prompt, payload.system_prompt)
content = self._extract_openai_content(data)
content_blocks = self._extract_openai_blocks(data)
elif self.provider_api == "anthropic-messages":
data = await self._request_anthropic_messages(model, prompt, payload.thinking)
elif provider_api == "anthropic-messages":
data = await self._request_anthropic_messages(
model,
prompt,
payload.thinking,
payload.system_prompt,
)
content = self._extract_anthropic_content(data)
content_blocks = self._extract_anthropic_blocks(data)
elif self.provider_api == "ollama-generate":
data = await self._request_ollama(model, prompt)
elif provider_api == "ollama-generate":
data = await self._request_ollama(model, prompt, payload.system_prompt)
content = self._extract_ollama_content(data)
content_blocks = self._extract_ollama_blocks(data)
else:
@@ -125,6 +137,26 @@ class ProviderService:
def _requires_api_key(self) -> bool:
return self.provider_api != "ollama-generate"
def _resolve_model_provider_api(self, model: str) -> str:
return self.model_provider_apis.get(model) or self.provider_api
def _parse_model_provider_apis(self, value: Any) -> dict[str, str]:
if isinstance(value, dict):
raw = value
elif isinstance(value, str) and value.strip():
try:
parsed = json.loads(value)
except json.JSONDecodeError:
return {}
raw = parsed if isinstance(parsed, dict) else {}
else:
raw = {}
return {
str(model): _normalize_provider_api(str(provider_api))
for model, provider_api in raw.items()
if model and provider_api
}
def _build_prompt(self, payload: SituationalAnalysisRequest) -> str:
sections = [
f"任务标题:\n{payload.title}",
@@ -136,19 +168,28 @@ class ProviderService:
sections.append("约束条件:\n" + "\n".join(f"- {item}" for item in payload.constraints))
if payload.context:
sections.append(f"附加上下文:\n{payload.context}")
sections.append(
"请输出: 1) 态势摘要 2) 关键风险 3) 研判依据 4) 建议动作 5) 还缺少的数据。"
)
return "\n\n".join(sections)
async def _request_openai_compatible(self, model: str, prompt: str) -> dict[str, Any]:
def _resolve_system_prompt(self, system_prompt: str | None) -> str | None:
resolved = str(system_prompt or "").strip()
return resolved or None
async def _request_openai_compatible(
self,
model: str,
prompt: str,
system_prompt: str | None = None,
) -> dict[str, Any]:
messages = []
resolved_system_prompt = self._resolve_system_prompt(system_prompt)
if resolved_system_prompt:
messages.append({"role": "system", "content": resolved_system_prompt})
messages.append({"role": "user", "content": prompt})
request_body = {
"model": model,
"messages": [
{"role": "system", "content": self.system_prompt},
{"role": "user", "content": prompt},
],
"messages": messages,
"temperature": 0.2,
"max_tokens": self.max_tokens,
}
return await self._post(
path="/chat/completions",
@@ -164,10 +205,10 @@ class ProviderService:
model: str,
prompt: str,
thinking: dict[str, Any] | None = None,
system_prompt: str | None = None,
) -> dict[str, Any]:
request_body = {
"model": model,
"system": self.system_prompt,
"messages": [
{
"role": "user",
@@ -182,6 +223,9 @@ class ProviderService:
"max_tokens": self.max_tokens,
"temperature": 0.2,
}
resolved_system_prompt = self._resolve_system_prompt(system_prompt)
if resolved_system_prompt:
request_body["system"] = resolved_system_prompt
resolved_thinking = self._resolve_anthropic_thinking(thinking)
if resolved_thinking:
request_body["thinking"] = resolved_thinking
@@ -215,19 +259,28 @@ class ProviderService:
model: str,
prompt: str,
thinking: dict[str, Any] | None = None,
system_prompt: str | None = None,
) -> dict[str, Any]:
return await self._request_anthropic_messages(model, prompt, thinking)
return await self._request_anthropic_messages(model, prompt, thinking, system_prompt)
async def _request_ollama(self, model: str, prompt: str) -> dict[str, Any]:
async def _request_ollama(
self,
model: str,
prompt: str,
system_prompt: str | None = None,
) -> dict[str, Any]:
request_body = {
"model": model,
"stream": False,
"system": self.system_prompt,
"prompt": prompt,
"options": {
"temperature": 0.2,
"num_predict": self.max_tokens,
},
}
resolved_system_prompt = self._resolve_system_prompt(system_prompt)
if resolved_system_prompt:
request_body["system"] = resolved_system_prompt
return await self._post(
path="/api/generate",
headers={
@@ -286,13 +339,19 @@ class ProviderService:
message = choices[0].get("message") or {}
content = message.get("content")
if isinstance(content, str):
return content
if content:
return content
reasoning_content = message.get("reasoning_content")
return reasoning_content if isinstance(reasoning_content, str) else ""
if isinstance(content, list):
return "".join(
item.get("text", "")
for item in content
if isinstance(item, dict)
)
reasoning_content = message.get("reasoning_content")
if isinstance(reasoning_content, str):
return reasoning_content
return ""
def _extract_openai_blocks(self, payload: dict[str, Any]) -> list[AIContentBlock]:
@@ -303,9 +362,14 @@ class ProviderService:
message = choices[0].get("message") or {}
content = message.get("content")
if isinstance(content, str):
return [AIContentBlock(type="text", text=content)]
blocks = [AIContentBlock(type="text", text=content)] if content else []
reasoning_content = message.get("reasoning_content")
if isinstance(reasoning_content, str) and reasoning_content:
blocks.append(AIContentBlock(type="thinking", thinking=reasoning_content))
return blocks
if not isinstance(content, list):
return []
reasoning_content = message.get("reasoning_content")
return [AIContentBlock(type="thinking", thinking=reasoning_content)] if isinstance(reasoning_content, str) and reasoning_content else []
blocks: list[AIContentBlock] = []
for item in content:
@@ -318,7 +382,11 @@ class ProviderService:
metadata={k: v for k, v in item.items() if k not in {"type", "text"}},
)
)
reasoning_content = message.get("reasoning_content")
if isinstance(reasoning_content, str) and reasoning_content:
blocks.append(AIContentBlock(type="thinking", thinking=reasoning_content))
return blocks
def _extract_anthropic_content(self, payload: dict[str, Any]) -> str:
content = payload.get("content")
if isinstance(content, str):

View File

@@ -13,10 +13,11 @@ class AIContentBlock(BaseModel):
class SituationalAnalysisRequest(BaseModel):
title: str = Field(..., min_length=1, max_length=200)
objective: str = Field(..., min_length=1, max_length=1000)
objective: str = Field(..., min_length=1, max_length=20000)
context: dict[str, Any] = Field(default_factory=dict)
observations: list[str] = Field(default_factory=list)
constraints: list[str] = Field(default_factory=list)
system_prompt: str | None = Field(default=None, max_length=8000)
preferred_model: str | None = Field(default=None, max_length=200)
thinking: dict[str, Any] | None = None

View File

@@ -1,6 +1,12 @@
FROM python:3.14-slim
# syntax=docker/dockerfile:1.7
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
ARG PYTHON_IMAGE=python:3.14-slim
ARG UV_IMAGE=ghcr.io/astral-sh/uv:latest
FROM ${UV_IMAGE} AS uv
FROM ${PYTHON_IMAGE}
COPY --from=uv /uv /uvx /bin/
WORKDIR /app
@@ -8,17 +14,25 @@ ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV UV_COMPILE_BYTECODE=1
ENV UV_LINK_MODE=copy
ENV PYTHONPATH=/app/backend
RUN mkdir -p /root/.config/uv
RUN apt-get update && apt-get install -y --no-install-recommends \
curl \
&& rm -rf /var/lib/apt/lists/*
COPY pyproject.toml uv.lock /app/
RUN uv sync --frozen --no-dev
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=secret,id=planet_uv_config,target=/root/.config/uv/uv.toml,required=false \
uv sync --frozen --no-dev
COPY backend /app/backend
COPY VERSION /app/VERSION
EXPOSE 8000
CMD ["uv", "run", "--frozen", "--no-dev", "--project", "/app", "python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]
HEALTHCHECK --interval=30s --timeout=5s --retries=3 \
CMD curl -fsS http://127.0.0.1:8000/health >/dev/null || exit 1
CMD ["uv", "run", "--frozen", "--no-dev", "--project", "/app", "python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]

View File

@@ -0,0 +1,2 @@
"""AI task prompt registry and runtime helpers."""

View File

@@ -0,0 +1,74 @@
[
{
"key": "earth.news.enrich",
"label": "Earth 新闻汉化与定位",
"group": "Earth 新闻",
"version": "2026-05-16.2",
"system_prompt": "",
"prompt": "Return exactly one strict JSON object with a location object and a localizations object. Infer the most likely physical event location and produce a faithful Simplified Chinese title plus a one-sentence newswire-style Chinese summary based only on the supplied RSS headline, description, source, and date. The summary should read like a concise breaking-news lead, not a label, slogan, or keyword headline."
},
{
"key": "alerts.brief",
"label": "系统告警研判",
"group": "告警研判",
"version": "2026-05-16.1",
"system_prompt": "你是告警研判助手。请基于输入的告警事实、上下文与约束,输出结构化、克制、可执行的值班研判;明确区分事实、推断与建议,不要夸大证据不足的风险。",
"prompt": "基于当前告警总量、严重度、状态、数据源分布与最近告警摘录,生成一份面向值班人员的简明告警态势简报,突出待处理风险、告警集中点和优先动作。"
},
{
"key": "alerts.situational.brief",
"label": "跨模块态势告警研判",
"group": "告警研判",
"version": "2026-05-16.1",
"system_prompt": "你是告警研判助手。请基于输入的告警事实、上下文与约束,输出结构化、克制、可执行的值班研判;明确区分事实、推断与建议,不要夸大证据不足的风险。",
"prompt": "综合系统告警、BGP incidents、BGP anomalies 与近期 BGP AI 简报,生成一份面向值班人员的态势告警简报,指出当前最需要关注的风险域、跨模块联动迹象和优先动作。"
},
{
"key": "bgp.brief",
"label": "BGP 态势简报",
"group": "BGP",
"version": "2026-05-16.2",
"system_prompt": "你是 BGP 值班分析师。请直接输出面向值班人员的中文 Markdown 简报,只写最终研判内容;不要复述用户需求、提示词、写作计划、字段清单或“我将如何回答”。",
"prompt": "基于当前 BGP incidents、anomalies、原始观测事件、观测站覆盖与 prefix geography 证据,生成一份面向操作员的简明态势简报,突出区域热点、观测偏差、当前风险、证据和优先动作。"
},
{
"key": "location.factcheck.normalize",
"label": "位置事实核查结构化",
"group": "位置解析",
"version": "2026-05-16.1",
"system_prompt": "",
"prompt": "Convert the supplied location factcheck text into exactly one strict JSON object. Extract only facts present in the text or original query."
},
{
"key": "location.factcheck.resolve",
"label": "位置事实核查兜底",
"group": "位置解析",
"version": "2026-05-16.1",
"system_prompt": "",
"prompt": "Return exactly one JSON object for the most likely physical location. Use only fact-checkable public knowledge; return null fields rather than guessing when evidence is weak."
},
{
"key": "datasource.mapping",
"label": "数据源映射生成",
"group": "采集配置",
"version": "2026-05-16.1",
"system_prompt": "",
"prompt": "Return only JSON for a deterministic mapping DSL. The JSON must contain source.items_path and fields. Do not include prose or code."
},
{
"key": "credential.guide",
"label": "采集器凭据教程",
"group": "采集配置",
"version": "2026-05-16.1",
"system_prompt": "",
"prompt": "生成一份中文采集器凭据配置教程。只能根据 context.search_evidence 中的来源生成教程;如果证据不足,明确说明需要以官方页面为准。"
},
{
"key": "ai.connection_test",
"label": "AI Provider 连接测试",
"group": "运维测试",
"version": "2026-05-16.1",
"system_prompt": "",
"prompt": "Reply OK."
}
]

View File

@@ -0,0 +1,182 @@
from __future__ import annotations
from dataclasses import dataclass
from datetime import UTC, datetime
import json
from functools import lru_cache
from pathlib import Path
from typing import Any
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.models.system_setting import SystemSetting
AI_PROMPTS_CATEGORY = "ai_prompts"
DEFAULT_PROMPTS_PATH = Path(__file__).with_name("default_prompts.json")
@dataclass(frozen=True)
class AIPromptDefinition:
key: str
label: str
group: str
version: str
system_prompt: str
prompt: str
@dataclass(frozen=True)
class EffectiveAIPrompt:
key: str
label: str
group: str
version: str
default_system_prompt: str
default_prompt: str
system_prompt: str
prompt: str
is_custom: bool
updated_at: str | None = None
@lru_cache(maxsize=1)
def list_prompt_definitions() -> tuple[AIPromptDefinition, ...]:
raw_items = json.loads(DEFAULT_PROMPTS_PATH.read_text(encoding="utf-8"))
return tuple(
AIPromptDefinition(
key=str(item["key"]),
label=str(item["label"]),
group=str(item["group"]),
version=str(item["version"]),
system_prompt=str(item.get("system_prompt") or ""),
prompt=str(item.get("prompt") or ""),
)
for item in raw_items
)
def get_prompt_definition(task_key: str) -> AIPromptDefinition:
for definition in list_prompt_definitions():
if definition.key == task_key:
return definition
raise KeyError(task_key)
async def _get_prompt_setting(db: AsyncSession) -> SystemSetting | None:
result = await db.execute(
select(SystemSetting).where(SystemSetting.category == AI_PROMPTS_CATEGORY)
)
return result.scalar_one_or_none()
def _normalize_overrides(payload: dict[str, Any] | None) -> dict[str, dict[str, Any]]:
raw = (payload or {}).get("overrides")
if not isinstance(raw, dict):
return {}
return {
str(key): dict(value)
for key, value in raw.items()
if isinstance(value, dict)
}
async def get_prompt_overrides(db: AsyncSession) -> dict[str, dict[str, Any]]:
if not hasattr(db, "execute"):
return {}
setting = await _get_prompt_setting(db)
return _normalize_overrides(setting.payload if setting else None)
def _effective_prompt(
definition: AIPromptDefinition,
override: dict[str, Any] | None,
) -> EffectiveAIPrompt:
override = override or {}
custom_system = override.get("system_prompt")
custom_prompt = override.get("prompt")
has_custom_system = isinstance(custom_system, str)
has_custom_prompt = isinstance(custom_prompt, str)
return EffectiveAIPrompt(
key=definition.key,
label=definition.label,
group=definition.group,
version=definition.version,
default_system_prompt=definition.system_prompt,
default_prompt=definition.prompt,
system_prompt=custom_system if has_custom_system else definition.system_prompt,
prompt=custom_prompt if has_custom_prompt else definition.prompt,
is_custom=has_custom_system or has_custom_prompt,
updated_at=str(override.get("updated_at") or "") or None,
)
async def list_effective_prompts(db: AsyncSession) -> list[EffectiveAIPrompt]:
overrides = await get_prompt_overrides(db)
return [
_effective_prompt(definition, overrides.get(definition.key))
for definition in list_prompt_definitions()
]
async def get_effective_prompt(db: AsyncSession | None, task_key: str) -> EffectiveAIPrompt:
definition = get_prompt_definition(task_key)
if db is None:
return _effective_prompt(definition, None)
overrides = await get_prompt_overrides(db)
return _effective_prompt(definition, overrides.get(task_key))
async def save_prompt_override(
db: AsyncSession,
task_key: str,
*,
system_prompt: str,
prompt: str,
) -> EffectiveAIPrompt:
definition = get_prompt_definition(task_key)
setting = await _get_prompt_setting(db)
payload = dict(setting.payload or {}) if setting else {}
overrides = _normalize_overrides(payload)
overrides[definition.key] = {
"system_prompt": system_prompt,
"prompt": prompt,
"updated_at": datetime.now(UTC).isoformat().replace("+00:00", "Z"),
}
payload["overrides"] = overrides
if setting is None:
setting = SystemSetting(category=AI_PROMPTS_CATEGORY, payload=payload)
db.add(setting)
else:
setting.payload = payload
await db.commit()
return _effective_prompt(definition, overrides[definition.key])
async def reset_prompt_override(db: AsyncSession, task_key: str) -> EffectiveAIPrompt:
definition = get_prompt_definition(task_key)
setting = await _get_prompt_setting(db)
if setting is None:
return _effective_prompt(definition, None)
payload = dict(setting.payload or {})
overrides = _normalize_overrides(payload)
overrides.pop(definition.key, None)
payload["overrides"] = overrides
setting.payload = payload
await db.commit()
return _effective_prompt(definition, None)
def serialize_effective_prompt(prompt: EffectiveAIPrompt) -> dict[str, Any]:
return {
"key": prompt.key,
"label": prompt.label,
"group": prompt.group,
"version": prompt.version,
"default_system_prompt": prompt.default_system_prompt,
"default_prompt": prompt.default_prompt,
"system_prompt": prompt.system_prompt,
"prompt": prompt.prompt,
"is_custom": prompt.is_custom,
"updated_at": prompt.updated_at,
}

View File

@@ -5,15 +5,22 @@ from app.api.v1 import (
users,
datasource_config,
datasources,
docs,
earth,
tasks,
dashboard,
websocket,
alerts,
settings,
collected_data,
data_products,
layers,
visualization,
vessel_aggregation,
vessels,
bgp,
news,
interactables,
realtime_sources,
system_control,
tv,
)
@@ -28,12 +35,24 @@ api_router.include_router(
)
api_router.include_router(datasources.router, prefix="/datasources", tags=["datasources"])
api_router.include_router(collected_data.router, prefix="/collected", tags=["collected-data"])
api_router.include_router(docs.router, prefix="/docs", tags=["docs"])
api_router.include_router(earth.router, prefix="/earth", tags=["earth"])
api_router.include_router(tasks.router, prefix="/tasks", tags=["tasks"])
api_router.include_router(dashboard.router, prefix="/dashboard", tags=["dashboard"])
api_router.include_router(alerts.router, prefix="/alerts", tags=["alerts"])
api_router.include_router(settings.router, prefix="/settings", tags=["settings"])
api_router.include_router(system_control.router, prefix="/system", tags=["system"])
api_router.include_router(data_products.router, prefix="/data-products", tags=["data-products"])
api_router.include_router(layers.router, prefix="/layers", tags=["layers"])
api_router.include_router(visualization.router, prefix="/visualization", tags=["visualization"])
api_router.include_router(
vessel_aggregation.router,
prefix="/vessel-aggregation",
tags=["vessel-aggregation"],
)
api_router.include_router(vessels.router, prefix="/vessels", tags=["vessels"])
api_router.include_router(bgp.router, prefix="/bgp", tags=["bgp"])
api_router.include_router(tv.router, prefix="/tv", tags=["tv"])
api_router.include_router(news.router, prefix="/news", tags=["news"])
api_router.include_router(interactables.router, prefix="/interactables", tags=["interactables"])
api_router.include_router(realtime_sources.router, prefix="/realtime-sources", tags=["realtime-sources"])

View File

@@ -3,6 +3,7 @@ from uuid import uuid4
from fastapi import APIRouter, Depends, HTTPException, Request, Response
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.logging import get_logger
from app.core.security import get_current_user
from app.db.session import get_db
from app.models.user import User
@@ -47,8 +48,10 @@ from app.services.playground_chat_service import (
stop_message,
)
from app.services.situational_alert_ai_brief import build_situational_alert_brief_request
from app.services.business_logs import emit_business_log, exception_context
router = APIRouter()
logger = get_logger(__name__, service="api")
@router.get("/provider/status", response_model=AIProviderStatusResponse)
@@ -122,6 +125,16 @@ async def create_playground_message(
provider_client: AIProviderClient = Depends(get_ai_provider_client),
db: AsyncSession = Depends(get_db),
):
await emit_business_log(
logger,
event="ai.playground.message.create",
message="Playground message creation requested",
category="ai",
service="api",
module=__name__,
user_id=current_user.id,
context={"session_key": payload.session_key, "preset": payload.selected_preset_key},
)
return await create_turn(
db,
user_id=current_user.id,
@@ -136,6 +149,16 @@ async def stop_playground_message(
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
await emit_business_log(
logger,
event="ai.playground.message.stop",
message="Playground message stop requested",
category="ai",
service="api",
module=__name__,
user_id=current_user.id,
context={"session_key": payload.session_key, "message_id": payload.message_id},
)
return await stop_message(
db,
user_id=current_user.id,
@@ -150,6 +173,16 @@ async def resend_playground_message(
provider_client: AIProviderClient = Depends(get_ai_provider_client),
db: AsyncSession = Depends(get_db),
):
await emit_business_log(
logger,
event="ai.playground.message.resend",
message="Playground message resend requested",
category="ai",
service="api",
module=__name__,
user_id=current_user.id,
context={"session_key": payload.session_key, "user_message_id": payload.user_message_id},
)
return await resend_turn(
db,
user_id=current_user.id,
@@ -214,16 +247,70 @@ async def analyze_bgp_brief(
anomaly_limit=payload.anomaly_limit,
collector_limit=payload.collector_limit,
)
await emit_business_log(
logger,
event="ai.brief.bgp.facts_collected",
message="BGP brief facts collected",
category="ai",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context={
"incident_limit": payload.incident_limit,
"anomaly_limit": payload.anomaly_limit,
"collector_limit": payload.collector_limit,
"fact_count": len(facts or []),
},
)
brief_request.preferred_model = payload.preferred_model
brief_request.thinking = payload.thinking
analysis = await provider_client.analyze(brief_request, request_id=request_id)
return save_bgp_brief_record(
analysis,
await emit_business_log(
logger,
event="ai.brief.bgp.start",
message="BGP brief AI analysis started",
category="ai",
service="api",
module=__name__,
request_id=request_id,
facts=facts,
context=context,
user_id=current_user.id,
context={"preferred_model": payload.preferred_model},
)
try:
analysis = await provider_client.analyze(brief_request, request_id=request_id)
record = save_bgp_brief_record(
analysis,
request_id=request_id,
facts=facts,
context=context,
)
await emit_business_log(
logger,
event="ai.brief.bgp.completed",
message="BGP brief AI analysis saved",
category="ai",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context={"provider": analysis.provider, "model": analysis.model, "brief_id": record.id},
)
return record
except Exception as exc:
await emit_business_log(
logger,
event="ai.brief.bgp.failed",
message="BGP brief AI analysis failed",
category="ai",
level="error",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context=exception_context(exc, {"preferred_model": payload.preferred_model}),
)
raise
@router.post("/alerts/brief", response_model=AlertBriefResponse)
@@ -242,17 +329,65 @@ async def analyze_alert_brief(
db,
alert_limit=payload.alert_limit,
)
await emit_business_log(
logger,
event="ai.brief.alerts.facts_collected",
message="Alert brief facts collected",
category="ai",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context={"alert_limit": payload.alert_limit, "fact_count": len(facts or [])},
)
brief_request.preferred_model = payload.preferred_model
brief_request.thinking = payload.thinking
analysis = await provider_client.analyze(brief_request, request_id=request_id)
return AlertBriefResponse(
**analysis.model_dump(),
title=brief_request.title,
objective=brief_request.objective,
facts=facts,
context=context,
await emit_business_log(
logger,
event="ai.brief.alerts.start",
message="Alert brief AI analysis started",
category="ai",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context={"preferred_model": payload.preferred_model},
)
try:
analysis = await provider_client.analyze(brief_request, request_id=request_id)
await emit_business_log(
logger,
event="ai.brief.alerts.completed",
message="Alert brief AI analysis completed",
category="ai",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context={"provider": analysis.provider, "model": analysis.model},
)
return AlertBriefResponse(
**analysis.model_dump(),
title=brief_request.title,
objective=brief_request.objective,
facts=facts,
context=context,
)
except Exception as exc:
await emit_business_log(
logger,
event="ai.brief.alerts.failed",
message="Alert brief AI analysis failed",
category="ai",
level="error",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context=exception_context(exc, {"preferred_model": payload.preferred_model}),
)
raise
@router.post("/situational-alerts/brief", response_model=SituationalAlertBriefResponse)
@@ -268,14 +403,62 @@ async def analyze_situational_alert_brief(
response.headers["X-Request-ID"] = request_id
brief_request, facts, context = await build_situational_alert_brief_request(db)
await emit_business_log(
logger,
event="ai.brief.situational_alerts.facts_collected",
message="Situational alert brief facts collected",
category="ai",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context={"fact_count": len(facts or [])},
)
brief_request.preferred_model = payload.preferred_model
brief_request.thinking = payload.thinking
analysis = await provider_client.analyze(brief_request, request_id=request_id)
return SituationalAlertBriefResponse(
**analysis.model_dump(),
title=brief_request.title,
objective=brief_request.objective,
facts=facts,
context=context,
await emit_business_log(
logger,
event="ai.brief.situational_alerts.start",
message="Situational alert brief AI analysis started",
category="ai",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context={"preferred_model": payload.preferred_model},
)
try:
analysis = await provider_client.analyze(brief_request, request_id=request_id)
await emit_business_log(
logger,
event="ai.brief.situational_alerts.completed",
message="Situational alert brief AI analysis completed",
category="ai",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context={"provider": analysis.provider, "model": analysis.model},
)
return SituationalAlertBriefResponse(
**analysis.model_dump(),
title=brief_request.title,
objective=brief_request.objective,
facts=facts,
context=context,
)
except Exception as exc:
await emit_business_log(
logger,
event="ai.brief.situational_alerts.failed",
message="Situational alert brief AI analysis failed",
category="ai",
level="error",
service="api",
module=__name__,
request_id=request_id,
user_id=current_user.id,
context=exception_context(exc, {"preferred_model": payload.preferred_model}),
)
raise

View File

@@ -1,26 +1,85 @@
from datetime import timedelta
from fastapi import APIRouter, Depends, HTTPException, status
from fastapi.security import OAuth2PasswordRequestForm
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import text
from app.core.config import settings
from app.core.logging import get_logger
from app.core.security import (
create_access_token,
create_refresh_token,
blacklist_token,
get_current_user,
get_password_hash,
verify_password,
)
from app.db.session import get_db
from app.models.user import User
from app.schemas.token import Token
from app.schemas.user import UserCreate, UserResponse
from app.schemas.user import (
ForgotPasswordRequest,
ResendCodeRequest,
ResetPasswordRequest,
UserRegister,
UserResponse,
VerifyEmailRequest,
)
from app.services import otp
from app.services.email import (
EmailError,
EmailNotConfiguredError,
send_verification_email,
)
logger = get_logger(__name__)
router = APIRouter()
def _token_response(user: User) -> dict:
access_token = create_access_token(data={"sub": user.id})
refresh = create_refresh_token(data={"sub": user.id})
expires_in = (
settings.ACCESS_TOKEN_EXPIRE_MINUTES * 60
if settings.ACCESS_TOKEN_EXPIRE_MINUTES > 0
else None
)
return {
"access_token": access_token,
"token_type": "bearer",
"expires_in": expires_in,
"refresh_token": refresh,
"user": {
"id": user.id,
"username": user.username,
"role": user.role,
"gatekeeper_groups": user.gatekeeper_groups or [],
},
}
async def _load_user_by_email(db: AsyncSession, email: str) -> User | None:
result = await db.execute(
text(
"SELECT id, username, email, password_hash, role, is_active, gatekeeper_groups, email_verified "
"FROM users WHERE email = :email"
),
{"email": email},
)
row = result.fetchone()
if row is None:
return None
user = User()
user.id = row[0]
user.username = row[1]
user.email = row[2]
user.password_hash = row[3]
user.role = row[4]
user.is_active = row[5]
user.gatekeeper_groups = row[6] or []
user.email_verified = bool(row[7])
return user
@router.post("/login", response_model=Token)
async def login(
form_data: OAuth2PasswordRequestForm = Depends(),
@@ -28,7 +87,8 @@ async def login(
):
result = await db.execute(
text(
"SELECT id, username, email, password_hash, role, is_active FROM users WHERE username = :username"
"SELECT id, username, email, password_hash, role, is_active, gatekeeper_groups, email_verified "
"FROM users WHERE username = :username"
),
{"username": form_data.username},
)
@@ -46,6 +106,8 @@ async def login(
user.password_hash = row[3]
user.role = row[4]
user.is_active = row[5]
user.gatekeeper_groups = row[6] or []
user.email_verified = bool(row[7])
if not verify_password(form_data.password, user.password_hash):
raise HTTPException(
@@ -57,24 +119,13 @@ async def login(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="User is inactive",
)
if not user.email_verified:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail={"code": "EMAIL_NOT_VERIFIED", "email": user.email},
)
access_token = create_access_token(data={"sub": user.id})
refresh_token = create_refresh_token(data={"sub": user.id})
expires_in = None
if settings.ACCESS_TOKEN_EXPIRE_MINUTES > 0:
expires_in = settings.ACCESS_TOKEN_EXPIRE_MINUTES * 60
return {
"access_token": access_token,
"token_type": "bearer",
"expires_in": expires_in,
"user": {
"id": user.id,
"username": user.username,
"role": user.role,
},
}
return _token_response(user)
@router.post("/refresh", response_model=Token)
@@ -95,6 +146,7 @@ async def refresh_token(
"id": current_user.id,
"username": current_user.username,
"role": current_user.role,
"gatekeeper_groups": current_user.gatekeeper_groups or [],
},
}
@@ -111,6 +163,181 @@ async def get_me(current_user: User = Depends(get_current_user)):
"username": current_user.username,
"email": current_user.email,
"role": current_user.role,
"gatekeeper_groups": current_user.gatekeeper_groups or [],
"is_active": current_user.is_active,
"email_verified": getattr(current_user, "email_verified", True),
"created_at": current_user.created_at,
}
async def _send_code_or_raise(db: AsyncSession, email: str, code: str, purpose: str) -> None:
try:
await send_verification_email(db, to=email, code=code, purpose=purpose)
except EmailNotConfiguredError as exc:
raise HTTPException(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
detail={"code": exc.code, "message": str(exc)},
) from exc
except EmailError as exc:
logger.warning_event(
"SMTP send failed",
event="auth.email.send_failed",
context={"email": email, "purpose": purpose, "error": str(exc)},
)
raise HTTPException(
status_code=status.HTTP_502_BAD_GATEWAY,
detail={"code": exc.code, "message": str(exc)},
) from exc
@router.post("/register", status_code=status.HTTP_201_CREATED)
async def register(payload: UserRegister, db: AsyncSession = Depends(get_db)):
existing = await db.execute(
text("SELECT id, email_verified FROM users WHERE username = :u OR email = :e"),
{"u": payload.username, "e": payload.email},
)
row = existing.fetchone()
if row is not None:
raise HTTPException(
status_code=status.HTTP_409_CONFLICT,
detail={"code": "USER_ALREADY_EXISTS", "message": "Username or email already in use"},
)
user = User(
username=payload.username,
email=payload.email,
password_hash=get_password_hash(payload.password),
role="viewer",
is_active=True,
email_verified=False,
)
db.add(user)
await db.commit()
try:
code = otp.issue_code(payload.email, "register")
except otp.OtpResendRateLimited as exc:
raise HTTPException(
status_code=status.HTTP_429_TOO_MANY_REQUESTS,
detail={"code": exc.code, "retry_after_seconds": exc.retry_after_seconds},
) from exc
await _send_code_or_raise(db, payload.email, code, "register")
return {"status": "pending_verification", "email": payload.email}
@router.post("/verify-email", response_model=Token)
async def verify_email(payload: VerifyEmailRequest, db: AsyncSession = Depends(get_db)):
user = await _load_user_by_email(db, payload.email)
if user is None:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail={"code": "USER_NOT_FOUND"},
)
try:
otp.verify_code(payload.email, "register", payload.code)
except otp.OtpExpired as exc:
raise HTTPException(
status_code=status.HTTP_410_GONE,
detail={"code": exc.code, "message": str(exc)},
) from exc
except otp.OtpAttemptsExceeded as exc:
raise HTTPException(
status_code=status.HTTP_429_TOO_MANY_REQUESTS,
detail={"code": exc.code, "message": str(exc)},
) from exc
except otp.OtpInvalid as exc:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail={"code": exc.code, "message": str(exc)},
) from exc
await db.execute(
text("UPDATE users SET email_verified = TRUE WHERE id = :id"),
{"id": user.id},
)
await db.commit()
user.email_verified = True
return _token_response(user)
@router.post("/resend-code")
async def resend_code(payload: ResendCodeRequest, db: AsyncSession = Depends(get_db)):
user = await _load_user_by_email(db, payload.email)
if user is None:
# Avoid email enumeration; pretend success.
return {"status": "ok"}
if payload.purpose == "register" and user.email_verified:
raise HTTPException(
status_code=status.HTTP_409_CONFLICT,
detail={"code": "ALREADY_VERIFIED"},
)
try:
code = otp.issue_code(payload.email, payload.purpose)
except otp.OtpResendRateLimited as exc:
raise HTTPException(
status_code=status.HTTP_429_TOO_MANY_REQUESTS,
detail={"code": exc.code, "retry_after_seconds": exc.retry_after_seconds},
) from exc
await _send_code_or_raise(db, payload.email, code, payload.purpose)
return {"status": "ok"}
@router.post("/forgot-password")
async def forgot_password(payload: ForgotPasswordRequest, db: AsyncSession = Depends(get_db)):
user = await _load_user_by_email(db, payload.email)
if user is None:
# Don't leak whether an email is registered.
return {"status": "ok"}
try:
code = otp.issue_code(payload.email, "reset_password")
except otp.OtpResendRateLimited:
# Silently accept; the user can retry after the cooldown.
return {"status": "ok"}
try:
await send_verification_email(db, to=payload.email, code=code, purpose="reset_password")
except EmailNotConfiguredError as exc:
raise HTTPException(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
detail={"code": exc.code, "message": str(exc)},
) from exc
except EmailError as exc:
logger.warning_event(
"SMTP send failed",
event="auth.email.send_failed",
context={"email": payload.email, "purpose": "reset_password", "error": str(exc)},
)
return {"status": "ok"}
@router.post("/reset-password")
async def reset_password(payload: ResetPasswordRequest, db: AsyncSession = Depends(get_db)):
user = await _load_user_by_email(db, payload.email)
if user is None:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail={"code": "OTP_INVALID"},
)
try:
otp.verify_code(payload.email, "reset_password", payload.code)
except otp.OtpExpired as exc:
raise HTTPException(
status_code=status.HTTP_410_GONE,
detail={"code": exc.code, "message": str(exc)},
) from exc
except otp.OtpAttemptsExceeded as exc:
raise HTTPException(
status_code=status.HTTP_429_TOO_MANY_REQUESTS,
detail={"code": exc.code, "message": str(exc)},
) from exc
except otp.OtpInvalid as exc:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail={"code": exc.code, "message": str(exc)},
) from exc
await db.execute(
text("UPDATE users SET password_hash = :p, email_verified = TRUE WHERE id = :id"),
{"p": get_password_hash(payload.new_password), "id": user.id},
)
await db.commit()
return {"status": "ok"}

View File

@@ -5,13 +5,26 @@ from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy import func, select
from sqlalchemy.ext.asyncio import AsyncSession
from pydantic import BaseModel
from app.core.security import get_current_user
from app.db.session import get_db
from app.models.bgp_anomaly import BGPAnomaly
from app.models.bgp_incident import BGPIncident
from app.models.bgp_observation import BGPObservation
from app.models.user import User
from app.services.bgp_collector_locations import (
build_bgp_collector_location_query,
collect_bgp_collector_location_candidates,
get_bgp_collector_location_dict,
)
from app.services.bgp_collectors import build_bgp_collector_coverage
from app.services.ai_client import get_ai_provider_client
from app.api.v1.settings import get_web_search_client
from app.services.location.llm_fallback import (
collect_llm_location_fallback_candidate,
collect_location_search_evidence,
)
router = APIRouter()
@@ -264,6 +277,120 @@ async def get_bgp_collector_summary(
}
class CollectBGPCollectorLocationRequest(BaseModel):
city: Optional[str] = None
country: Optional[str] = None
site: Optional[str] = None
operator: Optional[str] = None
@router.post("/collectors/{collector_id}/collect-location")
async def collect_bgp_collector_location(
collector_id: str,
payload: CollectBGPCollectorLocationRequest,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""Run the shared location pipeline for a BGP route collector.
Mirrors ``POST /api/v1/visualization/compute-centers/{source_id}/collect-location``.
Returns ranked candidates from source coordinates and Nominatim queries
built around the collector's stored context (IXP / city / country). Stored
collector locations provide context only; they are not emitted as
candidates.
"""
if not collector_id or not collector_id.strip():
raise HTTPException(status_code=400, detail="collector_id is required")
legacy = get_bgp_collector_location_dict(collector_id) or {}
site = payload.site or legacy.get("matched_location_name")
city = payload.city or legacy.get("city")
country = payload.country or legacy.get("country")
operator = payload.operator or "RIPE NCC"
candidates, attempted_queries = collect_bgp_collector_location_candidates(
collector=collector_id,
site=site,
city=city,
country=country,
operator=operator,
)
llm_failure_reason = None
if not candidates:
query = build_bgp_collector_location_query(
collector=collector_id,
site=site,
city=city,
country=country,
operator=operator,
)
llm_result = None
try:
web_search_client = await get_web_search_client(db)
search_result = await collect_location_search_evidence(
web_search_client=web_search_client,
query=query,
entity_type="bgp_collector",
)
attempted_queries = [*attempted_queries, *search_result.attempted_queries]
if not search_result.evidence:
llm_failure_reason = search_result.failure_reason
raise RuntimeError(search_result.failure_reason or "no WebSearch evidence")
provider_client = await get_ai_provider_client(db)
llm_result = await collect_llm_location_fallback_candidate(
provider_client=provider_client,
query=query,
entity_type="bgp_collector",
db=db,
attempted_queries=attempted_queries,
search_evidence=search_result.evidence,
)
except Exception as exc:
if llm_failure_reason is None:
llm_failure_reason = f"LLM location factcheck unavailable: {exc}"
attempted_queries = [
*attempted_queries,
f"llm_factcheck:bgp_collector:{collector_id or 'unknown'}",
]
if llm_result is not None:
attempted_queries = [*attempted_queries, *llm_result.attempted_queries]
candidates = llm_result.candidates
llm_failure_reason = llm_result.failure_reason
context = {
"collector": collector_id,
"site": site,
"city": city,
"country": country,
"operator": operator,
}
if not candidates:
return {
"collector_id": collector_id,
"name": collector_id,
"success": False,
"failure_reason": (
"No source coordinates or online geocoding result reached"
" city-level precision for this collector."
),
"candidates": [],
"attempted_queries": list(attempted_queries),
"llm_failure_reason": llm_failure_reason,
"context": context,
}
return {
"collector_id": collector_id,
"name": collector_id,
"success": True,
"candidates": [candidate.to_dict() for candidate in candidates],
"best_candidate": candidates[0].to_dict(),
"attempted_queries": list(attempted_queries),
"context": context,
}
@router.get("/overview/summary")
async def get_bgp_overview_summary(
current_user: User = Depends(get_current_user),

View File

@@ -102,7 +102,12 @@ def build_search_rank_sql(search: Optional[str]) -> str:
"""
def serialize_collected_row(row, source_name_map: dict[str, str] | None = None) -> dict:
def serialize_collected_row(
row,
source_name_map: dict[str, str] | None = None,
*,
include_metadata: bool = True,
) -> dict:
metadata = row[7]
source = row[1]
return {
@@ -120,7 +125,7 @@ def serialize_collected_row(row, source_name_map: dict[str, str] | None = None)
"longitude": get_metadata_field(metadata, "longitude"),
"value": get_metadata_field(metadata, "value"),
"unit": get_metadata_field(metadata, "unit"),
"metadata": metadata,
"metadata": metadata if include_metadata else None,
"cores": get_metadata_field(metadata, "cores"),
"rmax": get_metadata_field(metadata, "rmax"),
"rpeak": get_metadata_field(metadata, "rpeak"),
@@ -145,6 +150,7 @@ async def list_collected_data(
search: Optional[str] = Query(None, description="搜索名称"),
page: int = Query(1, ge=1, description="页码"),
page_size: int = Query(20, ge=1, le=100, description="每页数量"),
include_metadata: bool = Query(True, description="是否返回完整 metadata 字段"),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
@@ -201,7 +207,7 @@ async def list_collected_data(
data = []
for row in rows:
data.append(serialize_collected_row(row[:11], source_name_map))
data.append(serialize_collected_row(row[:11], source_name_map, include_metadata=include_metadata))
return {
"total": total,

View File

@@ -0,0 +1,98 @@
from datetime import UTC, datetime
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.ext.asyncio import AsyncSession
from app.api.v1.visualization import get_visualization_geo_summary
from app.core.time import to_iso8601_utc
from app.db.session import get_db
router = APIRouter()
PRODUCT_DEFINITIONS: dict[str, dict] = {
"vessels": {
"name": "船只",
"sources": ["aisstream_vessels", "barentswatch_vessels"],
"primary_stat_key": "vessel_count",
"stat_keys": ["vessel_count", "vessel_raw_unique_mmsi", "vessel_legacy_unique_mmsi"],
},
"cables": {
"name": "海底光缆",
"sources": [
"arcgis_cables",
"arcgis_landing_points",
"arcgis_cable_landing_relation",
"telegeography_cables",
"telegeography_landing",
"telegeography_systems",
"fao_landing_points",
],
"primary_stat_key": "cable_count",
"stat_keys": ["cable_count", "landing_point_count"],
},
"satellites": {
"name": "卫星",
"sources": ["celestrak_tle", "spacetrack_tle"],
"primary_stat_key": "satellite_count",
"stat_keys": ["satellite_count"],
},
"bgp": {
"name": "BGP",
"sources": [
"ris_live_bgp",
"bgpstream_bgp",
"iptoasn_prefix_geo",
"opengeofeed_prefix_geo",
"nro_delegated_prefix_geo",
],
"primary_stat_key": "bgp_event_count",
"stat_keys": ["bgp_event_count", "bgp_incident_count", "bgp_anomaly_count", "bgp_collector_count"],
},
"compute": {
"name": "算力",
"sources": ["top500", "epoch_ai_gpu"],
"primary_stat_key": "compute_center_count",
"stat_keys": ["compute_center_count", "supercomputer_count", "gpu_cluster_count"],
},
}
def _build_product_status(product_id: str, summary: dict) -> dict:
definition = PRODUCT_DEFINITIONS[product_id]
stats = summary.get("stats", {})
product_stats = {key: stats.get(key, 0) for key in definition["stat_keys"]}
total_count = int(product_stats.get(definition["primary_stat_key"]) or 0)
return {
"product_id": product_id,
"name": definition["name"],
"sources": definition["sources"],
"generated_at": summary.get("generated_at") or to_iso8601_utc(datetime.now(UTC)),
"total_count": total_count,
"stats": product_stats,
"build_state": "ready",
"stats_scope": "global",
"stats_freshness": "cached_or_indexed",
}
@router.get("")
async def list_data_products(db: AsyncSession = Depends(get_db)):
summary = await get_visualization_geo_summary(db)
return {
"generated_at": summary.get("generated_at"),
"data": [
_build_product_status(product_id, summary)
for product_id in PRODUCT_DEFINITIONS
],
}
@router.get("/{product_id}/status")
async def get_data_product_status(
product_id: str,
db: AsyncSession = Depends(get_db),
):
if product_id not in PRODUCT_DEFINITIONS:
raise HTTPException(status_code=404, detail="Unknown data product")
summary = await get_visualization_geo_summary(db)
return _build_product_status(product_id, summary)

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102
backend/app/api/v1/docs.py Normal file
View File

@@ -0,0 +1,102 @@
"""Authenticated documentation APIs."""
from __future__ import annotations
from fastapi import APIRouter, Depends, HTTPException, status
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from sqlalchemy import text
from app.core.security import decode_token
from app.db.session import async_session_factory
from app.models.user import User
from app.services.docs_gatekeeper import (
DOCS_BY_SLUG,
VALID_DOCS_LANGS,
can_read_doc,
catalog_for_user,
doc_path_for,
title_for,
)
router = APIRouter()
optional_bearer = HTTPBearer(auto_error=False)
async def get_optional_current_user(
credentials: HTTPAuthorizationCredentials | None = Depends(optional_bearer),
) -> User | None:
if credentials is None:
return None
payload = decode_token(credentials.credentials)
if payload is None or payload.get("type") != "access" or payload.get("sub") is None:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid token",
)
async with async_session_factory() as db:
result = await db.execute(
text(
"SELECT id, username, email, password_hash, role, is_active, gatekeeper_groups FROM users WHERE id = :id"
),
{"id": int(payload["sub"])},
)
row = result.fetchone()
if row is None or not row[5]:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="User not found or inactive",
)
user = User()
user.id = row[0]
user.username = row[1]
user.email = row[2]
user.password_hash = row[3]
user.role = row[4]
user.is_active = row[5]
user.gatekeeper_groups = row[6] or []
return user
@router.get("/catalog")
async def get_docs_catalog(current_user: User | None = Depends(get_optional_current_user)):
return {
"items": catalog_for_user(current_user),
"authenticated": current_user is not None,
}
@router.get("/{lang}/{slug}")
async def get_doc_content(
lang: str,
slug: str,
current_user: User | None = Depends(get_optional_current_user),
):
if lang not in VALID_DOCS_LANGS:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Document not found")
entry = DOCS_BY_SLUG.get(slug)
if entry is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Document not found")
path = doc_path_for(entry, lang)
if not path.exists():
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Document not found")
if not can_read_doc(entry, current_user):
if current_user is None:
raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Authentication required")
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Insufficient Docs permissions")
return {
"slug": entry.slug,
"filename": entry.filename,
"lang": lang,
"title": title_for(entry, lang),
"group": entry.group,
"order": entry.order,
"access": entry.access,
"markdown": path.read_text(encoding="utf-8"),
}

441
backend/app/api/v1/earth.py Normal file
View File

@@ -0,0 +1,441 @@
"""Earth asset management APIs."""
from __future__ import annotations
from pathlib import Path
from typing import Any
from uuid import uuid4
from fastapi import APIRouter, Depends, File, HTTPException, Request, UploadFile, status
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from pydantic import BaseModel, Field
from sqlalchemy import delete, func, select, text
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.config import settings as app_settings
from app.core.security import decode_token, get_current_user, redis_client
from app.db.session import get_db
from app.models.collected_data import CollectedData
from app.models.datasource import DataSource
from app.models.datasource_config import DataSourceConfig
from app.models.system_setting import SystemSetting
from app.models.user import User
from app.services.tv_streams import get_tv_settings_payload
from app.services.earth_boundaries import (
EarthBoundaryBuildError,
get_boundary_build_status,
get_boundary_status,
save_boundary_config,
start_boundary_build_job,
)
router = APIRouter()
optional_bearer = HTTPBearer(auto_error=False)
REPO_ROOT = Path(__file__).resolve().parents[4]
EARTH_BRAND_ASSET_DIR = REPO_ROOT / "data" / "earth-brand"
EARTH_BRAND_ASSET_URL_PREFIX = "/earth-brand-assets"
EARTH_BRAND_CATEGORY = "earth_brand"
EARTH_ABOUT_CATEGORY = "earth_about"
SYSTEM_SETTINGS_CATEGORY = "system"
MAX_EARTH_BRAND_ASSET_BYTES = 3 * 1024 * 1024
ALLOWED_EARTH_BRAND_EXTENSIONS = {".png", ".jpg", ".jpeg", ".webp", ".svg"}
def _app_version_label() -> str:
version = str(app_settings.VERSION or "").strip() or "0.0.0"
return version if version.startswith("v") else f"v{version}"
DEFAULT_EARTH_BRAND = {
"logo_src": "/earth/assets/brand/earth-logo.png",
"title_src": "/earth/assets/brand/title-zh.png",
"title_text": "智能星球计划",
"subtitle": "现实层宇宙全息感知系统",
"description": "卫星 · 海底光缆 · 算力基础设施",
"aria_label": "智能星球计划品牌标识",
"title_alt": "智能星球计划",
}
DEFAULT_EARTH_ABOUT = {
"logo_src": "/earth/assets/brand/lim-logo.png",
"kicker": "About",
"title": "智能星球计划",
"version": _app_version_label(),
"description": "面向临空场景下的智能媒体研究、全球态势感知与多源开放数据巡航,提供可视化观测、事件聚合与交互式探索能力。",
"meta": [
{"label": "出品方", "value": "浙江大学临空智能媒体研究院"},
{"label": "策划人", "value": "方兴东、黄柳青"},
{"label": "产品兼开发者", "value": "钱坤、张鸽、齐鹏"},
],
}
EARTH_ABOUT_LEGACY_PLANNER_VALUE = "黄柳青"
class EarthBoundaryConfigPayload(BaseModel):
config: dict[str, Any] = Field(default_factory=dict)
class EarthBrandPayload(BaseModel):
logo_src: str = Field(default=DEFAULT_EARTH_BRAND["logo_src"], max_length=1000)
title_src: str = Field(default=DEFAULT_EARTH_BRAND["title_src"], max_length=1000)
title_text: str = Field(default=DEFAULT_EARTH_BRAND["title_text"], max_length=120)
subtitle: str = Field(default=DEFAULT_EARTH_BRAND["subtitle"], max_length=160)
description: str = Field(default=DEFAULT_EARTH_BRAND["description"], max_length=200)
aria_label: str = Field(default=DEFAULT_EARTH_BRAND["aria_label"], max_length=200)
title_alt: str = Field(default=DEFAULT_EARTH_BRAND["title_alt"], max_length=200)
class EarthAboutMetaItem(BaseModel):
label: str = Field(default="", max_length=80)
value: str = Field(default="", max_length=240)
class EarthAboutPayload(BaseModel):
logo_src: str = Field(default=DEFAULT_EARTH_ABOUT["logo_src"], max_length=1000)
kicker: str = Field(default=DEFAULT_EARTH_ABOUT["kicker"], max_length=80)
title: str = Field(default=DEFAULT_EARTH_ABOUT["title"], max_length=160)
version: str = Field(default=DEFAULT_EARTH_ABOUT["version"], max_length=80)
description: str = Field(default=DEFAULT_EARTH_ABOUT["description"], max_length=800)
meta: list[EarthAboutMetaItem] = Field(default_factory=list)
def _normalize_earth_brand_payload(payload: dict[str, Any] | None) -> dict[str, str]:
merged = DEFAULT_EARTH_BRAND.copy()
if payload:
for key in DEFAULT_EARTH_BRAND:
value = payload.get(key)
if value is not None:
merged[key] = str(value).strip()
if not merged["title_text"]:
merged["title_text"] = DEFAULT_EARTH_BRAND["title_text"]
if not merged["aria_label"]:
merged["aria_label"] = merged["title_text"]
if not merged["title_alt"]:
merged["title_alt"] = merged["title_text"]
return merged
def _normalize_earth_about_payload(payload: dict[str, Any] | None) -> dict[str, Any]:
merged: dict[str, Any] = {
key: value
for key, value in DEFAULT_EARTH_ABOUT.items()
if key != "meta"
}
raw_meta = DEFAULT_EARTH_ABOUT["meta"]
if payload:
for key in ("logo_src", "kicker", "title", "description"):
value = payload.get(key)
if value is not None:
merged[key] = str(value).strip()
raw_meta = payload.get("meta") if isinstance(payload.get("meta"), list) else raw_meta
merged["version"] = _app_version_label()
for key, default_value in DEFAULT_EARTH_ABOUT.items():
if key == "meta":
continue
if not merged.get(key):
merged[key] = default_value
normalized_meta: list[dict[str, str]] = []
for item in raw_meta:
if not isinstance(item, dict):
continue
label = str(item.get("label") or "").strip()
value = str(item.get("value") or "").strip()
if label == "策划人" and value == EARTH_ABOUT_LEGACY_PLANNER_VALUE:
value = "方兴东、黄柳青"
if label or value:
normalized_meta.append({"label": label, "value": value})
if not normalized_meta:
normalized_meta = [dict(item) for item in DEFAULT_EARTH_ABOUT["meta"]]
merged["meta"] = normalized_meta
return merged
def _is_demo_mode_enabled(payload: Any) -> bool:
return bool(payload.get("demo_mode")) if isinstance(payload, dict) else False
async def _get_earth_brand_record(db: AsyncSession) -> SystemSetting | None:
result = await db.execute(
select(SystemSetting).where(SystemSetting.category == EARTH_BRAND_CATEGORY)
)
return result.scalar_one_or_none()
async def _get_earth_brand_payload(db: AsyncSession) -> dict[str, Any]:
record = await _get_earth_brand_record(db)
return {
"brand": _normalize_earth_brand_payload(record.payload if record else None),
"is_default": record is None,
}
async def _get_earth_about_record(db: AsyncSession) -> SystemSetting | None:
result = await db.execute(
select(SystemSetting).where(SystemSetting.category == EARTH_ABOUT_CATEGORY)
)
return result.scalar_one_or_none()
async def _get_earth_about_payload(db: AsyncSession) -> dict[str, Any]:
record = await _get_earth_about_record(db)
return {
"about": _normalize_earth_about_payload(record.payload if record else None),
"is_default": record is None,
}
async def _get_optional_current_user(
credentials: HTTPAuthorizationCredentials | None = Depends(optional_bearer),
db: AsyncSession = Depends(get_db),
) -> User | None:
if credentials is None:
return None
token = credentials.credentials
if redis_client.sismember("blacklisted_tokens", token):
return None
payload = decode_token(token)
if payload is None or payload.get("type") != "access":
return None
user_id = payload.get("sub")
if user_id is None:
return None
result = await db.execute(
text(
"SELECT id, username, email, password_hash, role, is_active, gatekeeper_groups FROM users WHERE id = :id"
),
{"id": int(user_id)},
)
row = result.fetchone()
if row is None or not row[5]:
return None
user = User()
user.id = row[0]
user.username = row[1]
user.email = row[2]
user.password_hash = row[3]
user.role = row[4]
user.is_active = row[5]
user.gatekeeper_groups = row[6] or []
return user
@router.get("/brand")
async def get_earth_brand(db: AsyncSession = Depends(get_db)):
return await _get_earth_brand_payload(db)
@router.put("/brand")
async def update_earth_brand(
payload: EarthBrandPayload,
_current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
normalized = _normalize_earth_brand_payload(payload.model_dump())
record = await _get_earth_brand_record(db)
if record is None:
record = SystemSetting(category=EARTH_BRAND_CATEGORY, payload=normalized)
db.add(record)
else:
record.payload = normalized
await db.commit()
await db.refresh(record)
return {"status": "updated", "brand": _normalize_earth_brand_payload(record.payload), "is_default": False}
@router.delete("/brand")
@router.post("/brand/reset")
async def reset_earth_brand(
_current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
await db.execute(delete(SystemSetting).where(SystemSetting.category == EARTH_BRAND_CATEGORY))
await db.commit()
return {"status": "reset", "brand": DEFAULT_EARTH_BRAND.copy(), "is_default": True}
@router.post("/brand/assets")
async def upload_earth_brand_asset(
file: UploadFile = File(...),
_current_user: User = Depends(get_current_user),
):
original_name = file.filename or ""
extension = Path(original_name).suffix.lower()
if extension not in ALLOWED_EARTH_BRAND_EXTENSIONS:
raise HTTPException(
status_code=400,
detail={
"code": "unsupported_file_type",
"message": "Only png, jpg, jpeg, webp, and svg brand assets are supported.",
},
)
content = await file.read(MAX_EARTH_BRAND_ASSET_BYTES + 1)
if len(content) > MAX_EARTH_BRAND_ASSET_BYTES:
raise HTTPException(
status_code=400,
detail={
"code": "file_too_large",
"message": "Brand asset must be 3 MB or smaller.",
},
)
EARTH_BRAND_ASSET_DIR.mkdir(parents=True, exist_ok=True)
safe_name = f"{uuid4().hex}{extension}"
destination = EARTH_BRAND_ASSET_DIR / safe_name
destination.write_bytes(content)
asset_url = f"{EARTH_BRAND_ASSET_URL_PREFIX}/{safe_name}"
return {"url": asset_url, "filename": safe_name, "content_type": file.content_type}
@router.get("/about")
async def get_earth_about(db: AsyncSession = Depends(get_db)):
return await _get_earth_about_payload(db)
@router.put("/about")
async def update_earth_about(
payload: EarthAboutPayload,
_current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
normalized = _normalize_earth_about_payload(payload.model_dump())
record = await _get_earth_about_record(db)
if record is None:
record = SystemSetting(category=EARTH_ABOUT_CATEGORY, payload=normalized)
db.add(record)
else:
record.payload = normalized
await db.commit()
await db.refresh(record)
return {"status": "updated", "about": _normalize_earth_about_payload(record.payload), "is_default": False}
@router.delete("/about")
async def reset_earth_about(
_current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
await db.execute(delete(SystemSetting).where(SystemSetting.category == EARTH_ABOUT_CATEGORY))
await db.commit()
return {"status": "reset", "about": _normalize_earth_about_payload(None), "is_default": True}
@router.get("/oobe-status")
async def get_earth_oobe_status(
current_user: User | None = Depends(_get_optional_current_user),
db: AsyncSession = Depends(get_db),
):
current_count_result = await db.execute(
select(func.count(CollectedData.id)).where(CollectedData.is_current.is_(True))
)
current_record_count = int(current_count_result.scalar() or 0)
system_result = await db.execute(
select(SystemSetting).where(SystemSetting.category == SYSTEM_SETTINGS_CATEGORY)
)
system_record = system_result.scalar_one_or_none()
demo_mode = _is_demo_mode_enabled(system_record.payload if system_record else None)
datasource_count_result = await db.execute(select(func.count(DataSource.id)))
datasource_count = int(datasource_count_result.scalar() or 0)
active_datasource_count_result = await db.execute(
select(func.count(DataSource.id)).where(DataSource.is_active.is_(True))
)
active_datasource_count = int(active_datasource_count_result.scalar() or 0)
config_result = await db.execute(select(func.count(DataSourceConfig.id)))
custom_config_count = int(config_result.scalar() or 0)
tv_payload = await get_tv_settings_payload(db)
tv_sources = tv_payload.get("sources") if isinstance(tv_payload, dict) else []
tv_source_count = len(tv_sources) if isinstance(tv_sources, list) else 0
boundary_status = get_boundary_status()
has_core_layers = bool(boundary_status.get("ready") or boundary_status.get("available") or boundary_status.get("status") in {"ready", "built", "ok"})
has_collected_data = current_record_count > 0
ready = has_collected_data
suggestions: list[str] = []
if demo_mode:
suggestions.append("演示模式已开启")
if not current_user:
suggestions.append("登录控制台")
if not has_collected_data:
suggestions.append("触发数据源采集")
if not custom_config_count:
suggestions.append("确认采集器配置")
if not has_core_layers:
suggestions.append("构建或启用 Earth 图层")
return {
"ready": ready,
"demo_mode": demo_mode,
"authenticated": current_user is not None,
"needs_login": current_user is None and not ready and not demo_mode,
"has_collected_data": has_collected_data,
"has_tv_sources": tv_source_count > 0,
"has_core_layers": has_core_layers,
"current_record_count": current_record_count,
"datasource_count": datasource_count,
"active_datasource_count": active_datasource_count,
"custom_config_count": custom_config_count,
"tv_source_count": tv_source_count,
"suggestions": suggestions,
"login_url": "/login?next=/datasources",
"datasources_url": "/datasources",
"collection_url": "/collection-management",
}
@router.get("/boundaries/status")
async def get_earth_boundary_status():
return get_boundary_status()
def _is_loopback_request(request: Request) -> bool:
host = request.client.host if request.client else ""
return host in {"127.0.0.1", "::1", "localhost"} or host.startswith("127.")
def _require_local_or_user(request: Request, user: User | None) -> None:
if user is not None or _is_loopback_request(request):
return
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Authentication required outside localhost",
)
@router.put("/boundaries/config")
async def update_earth_boundary_config(
payload: EarthBoundaryConfigPayload,
_current_user: User = Depends(get_current_user),
):
try:
return save_boundary_config(payload.config)
except EarthBoundaryBuildError as exc:
raise HTTPException(
status_code=400,
detail={"code": exc.code, "message": str(exc), "details": exc.details},
) from exc
@router.post("/boundaries/build")
async def build_earth_boundary_assets(
request: Request,
current_user: User | None = Depends(_get_optional_current_user),
):
_require_local_or_user(request, current_user)
try:
return await start_boundary_build_job()
except EarthBoundaryBuildError as exc:
raise HTTPException(
status_code=400,
detail={"code": exc.code, "message": str(exc), "details": exc.details},
) from exc
@router.get("/boundaries/build/status")
async def get_earth_boundary_build_status():
return get_boundary_build_status()

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@@ -0,0 +1,190 @@
"""CRUD APIs for persistent Earth interactables."""
from __future__ import annotations
from datetime import UTC, datetime
from typing import Any
from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
from pydantic import BaseModel, Field, field_validator
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.security import get_current_user
from app.db.session import get_db
from app.models.earth_interactable import EarthInteractable
from app.models.user import User
from app.services.earth_interactables import (
build_interactable_event,
interactables_to_geojson,
invalidate_interactable_cache,
list_interactables,
normalize_interactable_id,
publish_interactable_event,
serialize_interactable,
)
from app.services.earth_layer_cache import (
EarthLayerCachePolicy,
earth_layer_cache,
get_or_build_layer_payload,
)
router = APIRouter()
INTERACTABLE_CACHE_POLICY = EarthLayerCachePolicy(
fresh_ttl_seconds=60,
stale_ttl_seconds=10 * 60,
max_features=5000,
)
class InteractableCreate(BaseModel):
id: str | None = Field(default=None, max_length=160)
layer: str = Field(default="default", min_length=1, max_length=80)
kind: str = Field(default="default", min_length=1, max_length=80)
label: str = Field(default="", max_length=255)
description: str = Field(default="", max_length=4000)
latitude: float = Field(ge=-90, le=90)
longitude: float = Field(ge=-180, le=180)
altitude: float | None = None
properties: dict[str, Any] = Field(default_factory=dict)
@field_validator("layer", "kind")
@classmethod
def normalize_key(cls, value: str) -> str:
normalized = str(value or "").strip()
if not normalized:
raise ValueError("must not be empty")
return normalized
class InteractableUpdate(BaseModel):
layer: str | None = Field(default=None, min_length=1, max_length=80)
kind: str | None = Field(default=None, min_length=1, max_length=80)
label: str | None = Field(default=None, max_length=255)
description: str | None = Field(default=None, max_length=4000)
latitude: float | None = Field(default=None, ge=-90, le=90)
longitude: float | None = Field(default=None, ge=-180, le=180)
altitude: float | None = None
properties: dict[str, Any] | None = None
@router.get("")
async def get_interactables(
response: Response,
layer: str | None = Query(default=None),
include_deleted: bool = Query(default=False),
db: AsyncSession = Depends(get_db),
):
items = await list_interactables(db, layer=layer, include_deleted=include_deleted)
response.headers["X-Planet-Interactables-Count"] = str(len(items))
return {"items": [serialize_interactable(item) for item in items]}
@router.get("/geojson")
async def get_interactables_geojson(
response: Response,
layer: str | None = Query(default=None),
db: AsyncSession = Depends(get_db),
):
async def build_payload() -> dict[str, Any]:
items = await list_interactables(db, layer=layer)
return interactables_to_geojson(items)
payload = await get_or_build_layer_payload(
key=earth_layer_cache.key("interactables", layer=layer or "all"),
policy=INTERACTABLE_CACHE_POLICY,
builder=build_payload,
response=response,
)
response.headers["X-Planet-Interactables-Count"] = str(len(payload.get("features") or []))
return payload
@router.post("", status_code=status.HTTP_201_CREATED)
async def create_interactable(
payload: InteractableCreate,
_current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
record_id = normalize_interactable_id(payload.id)
existing = await db.get(EarthInteractable, record_id)
if existing and not existing.is_deleted:
raise HTTPException(status_code=409, detail="Interactable already exists")
if existing is None:
record = EarthInteractable(id=record_id)
db.add(record)
else:
record = existing
record.is_deleted = False
record.deleted_at = None
record.revision += 1
record.layer = payload.layer
record.kind = payload.kind
record.label = payload.label
record.description = payload.description
record.latitude = payload.latitude
record.longitude = payload.longitude
record.altitude = payload.altitude
record.properties = payload.properties
await db.commit()
await db.refresh(record)
invalidate_interactable_cache(record.layer)
await publish_interactable_event("created", record)
return {"item": serialize_interactable(record)}
@router.get("/{interactable_id}")
async def get_interactable(interactable_id: str, db: AsyncSession = Depends(get_db)):
record = await db.get(EarthInteractable, interactable_id)
if record is None or record.is_deleted:
raise HTTPException(status_code=404, detail="Interactable not found")
return {"item": serialize_interactable(record)}
@router.patch("/{interactable_id}")
async def update_interactable(
interactable_id: str,
payload: InteractableUpdate,
_current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
record = await db.get(EarthInteractable, interactable_id)
if record is None or record.is_deleted:
raise HTTPException(status_code=404, detail="Interactable not found")
previous_layer = record.layer
patch = payload.model_dump(exclude_unset=True)
for key, value in patch.items():
setattr(record, key, value)
record.revision += 1
await db.commit()
await db.refresh(record)
invalidate_interactable_cache(previous_layer)
if record.layer != previous_layer:
invalidate_interactable_cache(record.layer)
await publish_interactable_event("updated", record)
return {"item": serialize_interactable(record)}
@router.delete("/{interactable_id}")
async def delete_interactable(
interactable_id: str,
_current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
record = await db.get(EarthInteractable, interactable_id)
if record is None or record.is_deleted:
raise HTTPException(status_code=404, detail="Interactable not found")
record.is_deleted = True
record.deleted_at = datetime.now(UTC)
record.revision += 1
await db.commit()
await db.refresh(record)
invalidate_interactable_cache(record.layer)
await publish_interactable_event("deleted", record)
event = build_interactable_event(action="deleted", record=record, include_item=True)
return {"deleted": True, "event": event}

View File

@@ -0,0 +1,231 @@
from typing import Any, Optional
from fastapi import APIRouter, Depends, HTTPException, Query, Response
from sqlalchemy.ext.asyncio import AsyncSession
from app.api.v1.visualization import (
_parse_bbox,
get_bgp_anomalies_geojson,
get_bgp_collectors_geojson,
get_bgp_incidents_geojson,
get_cables_geojson,
get_landing_points_geojson,
get_satellites_geojson,
)
from app.api.v1.vessels import build_vessel_snapshot_response
from app.db.session import get_db
router = APIRouter()
DEFAULT_LAYER_LIMIT = 1000
MAX_LAYER_LIMIT = 5000
LOW_ZOOM_FEATURE_LIMIT = 500
def _clamp_limit(limit: int, zoom: int) -> tuple[int, bool]:
clamped = min(max(limit, 1), MAX_LAYER_LIMIT)
if zoom <= 3:
return min(clamped, LOW_ZOOM_FEATURE_LIMIT), clamped != limit or clamped > LOW_ZOOM_FEATURE_LIMIT
return clamped, clamped != limit
def _coordinate_in_bbox(coord: Any, bbox: tuple[float, float, float, float]) -> bool:
if not isinstance(coord, (list, tuple)) or len(coord) < 2:
return False
try:
lon = float(coord[0])
lat = float(coord[1])
except (TypeError, ValueError):
return False
lon_min, lat_min, lon_max, lat_max = bbox
return lon_min <= lon <= lon_max and lat_min <= lat <= lat_max
def _geometry_intersects_bbox(geometry: dict, bbox: tuple[float, float, float, float]) -> bool:
coordinates = geometry.get("coordinates")
geometry_type = geometry.get("type")
if geometry_type == "Point":
return _coordinate_in_bbox(coordinates, bbox)
if geometry_type in {"LineString", "MultiPoint"}:
return any(_coordinate_in_bbox(coord, bbox) for coord in coordinates or [])
if geometry_type in {"Polygon", "MultiLineString"}:
return any(
_coordinate_in_bbox(coord, bbox)
for line in coordinates or []
for coord in line
)
if geometry_type == "MultiPolygon":
return any(
_coordinate_in_bbox(coord, bbox)
for polygon in coordinates or []
for line in polygon
for coord in line
)
return False
def _guard_geojson_layer(
geojson: dict,
*,
bbox: tuple[float, float, float, float],
zoom: int,
limit: int,
) -> dict:
bounded_limit, limit_clamped = _clamp_limit(limit, zoom)
features = [
feature
for feature in geojson.get("features", [])
if _geometry_intersects_bbox(feature.get("geometry") or {}, bbox)
]
visible_count = len(features)
returned_features = features[:bounded_limit]
return {
**geojson,
"features": returned_features,
"visible_count": visible_count,
"returned_count": len(returned_features),
"diagnostics": {
"bbox_limited": True,
"limit": bounded_limit,
"limit_clamped": limit_clamped,
"truncated": visible_count > len(returned_features),
"degraded": zoom <= 3 or visible_count > len(returned_features),
"stats_scope": "viewport",
},
}
def _parse_layer_bbox(bbox: str) -> tuple[float, float, float, float]:
parsed = _parse_bbox(bbox)
if parsed is None:
raise HTTPException(status_code=400, detail="bbox is required")
return parsed
@router.get("/vessels/snapshot")
async def get_vessel_layer_snapshot(
bbox: str = Query(..., description="lon_min,lat_min,lon_max,lat_max"),
zoom: int = Query(..., ge=1, le=20),
limit: int = Query(DEFAULT_LAYER_LIMIT, ge=1),
vessel_type: Optional[str] = Query(None, alias="type"),
since_minutes: int = Query(60, ge=1, le=1440),
db: AsyncSession = Depends(get_db),
response: Response = None,
):
parsed_bbox = _parse_layer_bbox(bbox)
return await build_vessel_snapshot_response(
db,
bbox=parsed_bbox,
zoom=zoom,
limit=limit,
type_filter=vessel_type,
since_minutes=since_minutes,
response=response,
)
@router.get("/cables")
async def get_cable_layer(
bbox: str = Query(..., description="lon_min,lat_min,lon_max,lat_max"),
zoom: int = Query(..., ge=1, le=20),
limit: int = Query(DEFAULT_LAYER_LIMIT, ge=1),
db: AsyncSession = Depends(get_db),
):
return _guard_geojson_layer(
await get_cables_geojson(db),
bbox=_parse_layer_bbox(bbox),
zoom=zoom,
limit=limit,
)
@router.get("/landing-points")
async def get_landing_point_layer(
bbox: str = Query(..., description="lon_min,lat_min,lon_max,lat_max"),
zoom: int = Query(..., ge=1, le=20),
limit: int = Query(DEFAULT_LAYER_LIMIT, ge=1),
db: AsyncSession = Depends(get_db),
):
return _guard_geojson_layer(
await get_landing_points_geojson(db),
bbox=_parse_layer_bbox(bbox),
zoom=zoom,
limit=limit,
)
@router.get("/satellites")
async def get_satellite_layer(
bbox: str = Query(..., description="lon_min,lat_min,lon_max,lat_max"),
zoom: int = Query(..., ge=1, le=20),
limit: int = Query(DEFAULT_LAYER_LIMIT, ge=1),
db: AsyncSession = Depends(get_db),
):
bounded_limit, _ = _clamp_limit(limit, zoom)
return _guard_geojson_layer(
await get_satellites_geojson(limit=bounded_limit, db=db),
bbox=_parse_layer_bbox(bbox),
zoom=zoom,
limit=limit,
)
@router.get("/bgp/anomalies")
async def get_bgp_anomaly_layer(
bbox: str = Query(..., description="lon_min,lat_min,lon_max,lat_max"),
zoom: int = Query(..., ge=1, le=20),
limit: int = Query(DEFAULT_LAYER_LIMIT, ge=1),
severity: Optional[str] = Query(None),
status: Optional[str] = Query("active"),
db: AsyncSession = Depends(get_db),
):
bounded_limit, _ = _clamp_limit(limit, zoom)
return _guard_geojson_layer(
await get_bgp_anomalies_geojson(
severity=severity,
status=status,
limit=bounded_limit,
db=db,
),
bbox=_parse_layer_bbox(bbox),
zoom=zoom,
limit=limit,
)
@router.get("/bgp/incidents")
async def get_bgp_incident_layer(
bbox: str = Query(..., description="lon_min,lat_min,lon_max,lat_max"),
zoom: int = Query(..., ge=1, le=20),
limit: int = Query(DEFAULT_LAYER_LIMIT, ge=1),
severity: Optional[str] = Query(None),
status: Optional[str] = Query("active"),
db: AsyncSession = Depends(get_db),
):
bounded_limit, _ = _clamp_limit(limit, zoom)
return _guard_geojson_layer(
await get_bgp_incidents_geojson(
severity=severity,
status=status,
limit=min(bounded_limit, 500),
db=db,
),
bbox=_parse_layer_bbox(bbox),
zoom=zoom,
limit=limit,
)
@router.get("/bgp/collectors")
async def get_bgp_collector_layer(
bbox: str = Query(..., description="lon_min,lat_min,lon_max,lat_max"),
zoom: int = Query(..., ge=1, le=20),
limit: int = Query(DEFAULT_LAYER_LIMIT, ge=1),
db: AsyncSession = Depends(get_db),
):
return _guard_geojson_layer(
await get_bgp_collectors_geojson(db),
bbox=_parse_layer_bbox(bbox),
zoom=zoom,
limit=limit,
)

View File

@@ -1,5 +1,7 @@
from fastapi import APIRouter, Query
from fastapi import APIRouter, Depends, Query
from sqlalchemy.ext.asyncio import AsyncSession
from app.db.session import get_db
from app.services.earth_news import get_earth_news_payload
router = APIRouter()
@@ -9,5 +11,6 @@ router = APIRouter()
async def get_earth_feed(
lat: float | None = Query(None, description="Current Earth view center latitude"),
lon: float | None = Query(None, description="Current Earth view center longitude"),
db: AsyncSession = Depends(get_db),
):
return await get_earth_news_payload(lat=lat, lon=lon)
return await get_earth_news_payload(lat=lat, lon=lon, db=db)

View File

@@ -0,0 +1,280 @@
"""Realtime datasource operations and runtime statistics."""
from datetime import UTC, datetime, timedelta
import os
from typing import Any
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy import distinct, func, select
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.data_sources import get_data_sources_config
from app.core.security import get_current_user
from app.core.time import to_iso8601_utc
from app.db.session import get_db
from app.models.datasource import DataSource
from app.models.datasource_config import DataSourceConfig
from app.models.user import User
from app.models.vessel import AISRawObservation, AISSourceHealth
from app.services.custom_datasource_runtime import (
get_custom_stream_status,
start_custom_stream,
stop_custom_stream,
)
from app.services.scheduler import (
cancel_running_collector_now,
is_collector_running,
run_collector_now,
)
from app.services.vessel_ais_aggregation import VESSEL_AIS_SCHEMA, update_ais_source_health
router = APIRouter()
BUILTIN_REALTIME_SOURCES = {"aisstream_vessels"}
REALTIME_SOURCE_TYPES = {"websocket", "ws"}
def _is_realtime_config(config: DataSourceConfig) -> bool:
return str(config.source_type or "").lower() in REALTIME_SOURCE_TYPES
def _safe_config_dict(value: Any) -> dict[str, Any]:
return value if isinstance(value, dict) else {}
def _credential_configured(config: DataSourceConfig | None) -> bool:
if config is not None:
auth_config = _safe_config_dict(config.auth_config)
config_payload = _safe_config_dict(config.config)
if auth_config.get("api_key") or config_payload.get("api_key"):
return True
return bool(os.getenv("AISSTREAM_API_KEY"))
async def _load_realtime_stats(db: AsyncSession, source: str) -> dict[str, Any]:
now = datetime.now(UTC)
observed_24h = now - timedelta(hours=24)
observed_1h = now - timedelta(hours=1)
payload_mmsi = AISRawObservation.entity_key
result = await db.execute(
select(
func.count(AISRawObservation.id).label("total_observations"),
func.count(AISRawObservation.id)
.filter(AISRawObservation.observed_at >= observed_24h)
.label("observations_24h"),
func.count(AISRawObservation.id)
.filter(AISRawObservation.observed_at >= observed_1h)
.label("observations_1h"),
func.count(distinct(payload_mmsi)).label("unique_mmsi_total"),
func.count(distinct(payload_mmsi))
.filter(AISRawObservation.observed_at >= observed_24h)
.label("unique_mmsi_24h"),
func.max(AISRawObservation.observed_at).label("latest_observed_at"),
func.max(AISRawObservation.collected_at).label("latest_collected_at"),
)
.where(AISRawObservation.target_schema == VESSEL_AIS_SCHEMA)
.where(AISRawObservation.source == source)
)
row = result.mappings().one()
return {
"total_observations": int(row["total_observations"] or 0),
"observations_24h": int(row["observations_24h"] or 0),
"observations_1h": int(row["observations_1h"] or 0),
"unique_mmsi_total": int(row["unique_mmsi_total"] or 0),
"unique_mmsi_24h": int(row["unique_mmsi_24h"] or 0),
"latest_observed_at": to_iso8601_utc(row["latest_observed_at"]),
"latest_collected_at": to_iso8601_utc(row["latest_collected_at"]),
}
def _runtime_status_for_builtin(source: str) -> dict[str, Any]:
running = is_collector_running(source)
return {
"running": running,
"done": False,
"runtime": "collector",
}
def _runtime_status_for_custom(config_id: int) -> dict[str, Any]:
status = get_custom_stream_status(config_id)
return {
"running": bool(status.get("running")),
"done": bool(status.get("done")),
"runtime": "custom_stream",
}
async def _serialize_builtin_aisstream(
db: AsyncSession,
datasource: DataSource,
config: DataSourceConfig | None,
) -> dict[str, Any]:
health = await db.get(AISSourceHealth, datasource.source)
config_payload = _safe_config_dict(config.config if config else {})
endpoint = (
(config.endpoint if config else None)
or get_data_sources_config().get_yaml_url(datasource.source)
)
return {
"source": datasource.source,
"name": datasource.name,
"display_name": "AISStream 实时船舶",
"kind": "builtin",
"source_type": "websocket",
"endpoint": endpoint,
"is_active": bool(datasource.is_active),
"credential_configured": _credential_configured(config),
"message_types": config_payload.get("message_types") or ["PositionReport", "ShipStaticData"],
"bounding_boxes": config_payload.get("bounding_boxes") or [[[-90, -180], [90, 180]]],
"config": config_payload,
"runtime": _runtime_status_for_builtin(datasource.source),
"health": health.to_dict() if health else None,
"stats": await _load_realtime_stats(db, datasource.source),
}
async def _serialize_custom_stream(
db: AsyncSession,
config: DataSourceConfig,
) -> dict[str, Any]:
health = await db.get(AISSourceHealth, config.name)
config_payload = _safe_config_dict(config.config)
return {
"source": config.name,
"name": config.name,
"display_name": config.description or config.name,
"kind": "custom",
"config_id": config.id,
"source_type": config.source_type,
"endpoint": config.endpoint,
"is_active": bool(config.is_active),
"credential_configured": config.auth_type == "none" or bool(_safe_config_dict(config.auth_config)),
"message_types": config_payload.get("message_types") or [],
"bounding_boxes": config_payload.get("bounding_boxes") or [],
"config": config_payload,
"runtime": _runtime_status_for_custom(config.id),
"health": health.to_dict() if health else None,
"stats": await _load_realtime_stats(db, config.name),
}
async def _load_builtin_aisstream(db: AsyncSession) -> tuple[DataSource | None, DataSourceConfig | None]:
result = await db.execute(select(DataSource).where(DataSource.source == "aisstream_vessels"))
datasource = result.scalar_one_or_none()
config_result = await db.execute(
select(DataSourceConfig)
.where(DataSourceConfig.name == "aisstream_vessels")
.where(DataSourceConfig.is_active.is_(True))
.order_by(DataSourceConfig.id.desc())
.limit(1)
)
return datasource, config_result.scalar_one_or_none()
async def _load_custom_realtime_config(db: AsyncSession, source: str) -> DataSourceConfig | None:
result = await db.execute(
select(DataSourceConfig)
.where(DataSourceConfig.name == source)
.order_by(DataSourceConfig.id.desc())
.limit(1)
)
config = result.scalar_one_or_none()
return config if config is not None and _is_realtime_config(config) else None
@router.get("")
async def list_realtime_sources(
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
sources: list[dict[str, Any]] = []
datasource, builtin_config = await _load_builtin_aisstream(db)
if datasource is not None:
sources.append(await _serialize_builtin_aisstream(db, datasource, builtin_config))
custom_result = await db.execute(
select(DataSourceConfig)
.where(func.lower(DataSourceConfig.source_type).in_(REALTIME_SOURCE_TYPES))
.order_by(DataSourceConfig.name)
)
for config in custom_result.scalars().all():
if config.name in BUILTIN_REALTIME_SOURCES:
continue
sources.append(await _serialize_custom_stream(db, config))
return {"total": len(sources), "data": sources}
async def _ensure_builtin_startable(db: AsyncSession) -> DataSourceConfig | None:
datasource, config = await _load_builtin_aisstream(db)
if datasource is None:
raise HTTPException(status_code=404, detail="Realtime source not found")
if not datasource.is_active:
raise HTTPException(status_code=400, detail="Realtime source is disabled")
if not _credential_configured(config):
raise HTTPException(status_code=400, detail="AISStream API key is not configured")
return config
@router.post("/{source}/start")
async def start_realtime_source(
source: str,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
if source == "aisstream_vessels":
await _ensure_builtin_startable(db)
if is_collector_running(source):
return {"status": "already_running", "source": source, "runtime": _runtime_status_for_builtin(source)}
if not run_collector_now(source):
raise HTTPException(status_code=409, detail="Realtime source could not be started")
return {"status": "started", "source": source, "runtime": _runtime_status_for_builtin(source)}
config = await _load_custom_realtime_config(db, source)
if config is None:
raise HTTPException(status_code=404, detail="Realtime source not found")
if not config.is_active:
raise HTTPException(status_code=400, detail="Realtime source is disabled")
started = start_custom_stream(config.id)
return {
"status": "started" if started else "already_running",
"source": source,
"runtime": _runtime_status_for_custom(config.id),
}
@router.post("/{source}/stop")
async def stop_realtime_source(
source: str,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
if source == "aisstream_vessels":
stopped = await cancel_running_collector_now(source)
await update_ais_source_health(db, source=source, connection_state="disconnected", last_error=None)
await db.commit()
return {"status": "stopped" if stopped else "not_running", "source": source, "runtime": _runtime_status_for_builtin(source)}
config = await _load_custom_realtime_config(db, source)
if config is None:
raise HTTPException(status_code=404, detail="Realtime source not found")
stopped = await stop_custom_stream(config.id)
await update_ais_source_health(db, source=source, connection_state="disconnected", last_error=None)
await db.commit()
return {
"status": "stopped" if stopped else "not_running",
"source": source,
"runtime": _runtime_status_for_custom(config.id),
}
@router.post("/{source}/restart")
async def restart_realtime_source(
source: str,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
await stop_realtime_source(source, current_user=current_user, db=db)
return await start_realtime_source(source, current_user=current_user, db=db)

File diff suppressed because it is too large Load Diff

View File

@@ -1,6 +1,7 @@
from __future__ import annotations
import os
import json
import subprocess
import sys
@@ -8,9 +9,13 @@ from datetime import datetime
from fastapi import APIRouter, Depends, HTTPException, Query, Request, status
from pydantic import BaseModel
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.config import ROOT_DIR
from app.core.security import get_current_user
from app.db.session import get_db
from app.models.system_log import AuditLog, SystemLog
from app.models.user import User
from app.services.persistent_logs import record_audit_log, record_system_log
from app.services.system_control import (
@@ -35,10 +40,47 @@ from app.services.system_logs import (
normalize_log_level,
read_log_snapshot,
)
from app.services.earth_layer_cache import earth_layer_cache
router = APIRouter()
def _compact_log_context(context: dict | None) -> str:
if not context:
return ""
allowed = {
key: value
for key, value in (context or {}).items()
if key
in {
"status",
"duration_ms",
"provider",
"model",
"result_provider",
"result_model",
"collector_name",
"datasource_id",
"task_id",
"snapshot_id",
"raw_count",
"transformed_count",
"saved_count",
"created",
"updated",
"unchanged",
"deleted",
"result_count",
"status_code",
"error_type",
"error",
}
}
if not allowed:
return ""
return json.dumps(allowed, ensure_ascii=False, sort_keys=True)
class RestartTaskCreate(BaseModel):
action: str
@@ -112,6 +154,17 @@ class EarthClientLogEventResponse(BaseModel):
level: str
class EarthLayerCacheStatusResponse(BaseModel):
prefix: str
key_count: int
memory_bytes: int
layers: dict[str, dict[str, int]]
class EarthLayerCacheClearResponse(BaseModel):
deleted: int
def ensure_super_admin(current_user: User) -> None:
if not require_super_admin(current_user.role):
raise HTTPException(
@@ -132,6 +185,34 @@ def validate_log_date(raw_value: str | None, field_name: str) -> str | None:
) from exc
@router.get("/cache/earth-layers", response_model=EarthLayerCacheStatusResponse)
async def get_earth_layer_cache_status(
current_user: User = Depends(get_current_user),
):
ensure_super_admin(current_user)
try:
return earth_layer_cache.status()
except Exception as exc:
raise HTTPException(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
detail=f"Unable to read Earth layer cache status: {exc}",
) from exc
@router.delete("/cache/earth-layers", response_model=EarthLayerCacheClearResponse)
async def clear_earth_layer_cache(
current_user: User = Depends(get_current_user),
):
ensure_super_admin(current_user)
try:
return {"deleted": earth_layer_cache.delete_pattern()}
except Exception as exc:
raise HTTPException(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
detail=f"Unable to clear Earth layer cache: {exc}",
) from exc
@router.post("/restart-tasks", response_model=RestartTaskResponse)
async def create_restart_task(
payload: RestartTaskCreate,
@@ -270,7 +351,123 @@ async def get_system_log_sources(
current_user: User = Depends(get_current_user),
):
ensure_super_admin(current_user)
return {"items": list_log_sources()}
return {
"items": [
*list_log_sources(),
{
"source_id": "system-db",
"name": "系统事件",
"kind": "database",
"location": "table://system_logs",
"description": "后端持久化系统事件、AI 和采集器操作日志。",
"category": "database",
"status": "ok",
},
{
"source_id": "audit-db",
"name": "审计事件",
"kind": "database",
"location": "table://audit_logs",
"description": "管理员敏感操作和密钥 reveal 审计记录。",
"category": "audit",
"status": "ok",
},
]
}
async def read_database_log_snapshot(
source_id: str,
*,
limit: int,
level: str,
levels: str | None,
start_date: str | None,
end_date: str | None,
search: str | None,
db: AsyncSession,
) -> dict | None:
selected_levels = set(normalize_log_level(item) for item in (levels or level).split(",") if item.strip())
selected_levels.discard("all")
search_query = (search or "").strip().lower()
lines: list[str] = []
if source_id == "system-db":
query = select(SystemLog).order_by(SystemLog.occurred_at.desc().nullslast(), SystemLog.id.desc()).limit(limit * 5)
result = await db.execute(query)
records = result.scalars().all()
for record in records:
record_level = normalize_log_level(record.level)
if selected_levels and record_level not in selected_levels:
continue
occurred_at = record.occurred_at.date().isoformat() if record.occurred_at else ""
if start_date and occurred_at and occurred_at < start_date:
continue
if end_date and occurred_at and occurred_at > end_date:
continue
line = " ".join(
part
for part in [
record.occurred_at.isoformat() if record.occurred_at else "",
record_level.upper(),
record.source,
record.category or "",
record.event or "",
f"request_id={record.request_id}" if record.request_id else "",
record.message,
_compact_log_context(record.context),
]
if part
)
if search_query and search_query not in line.lower():
continue
lines.append(line)
elif source_id == "audit-db":
query = select(AuditLog).order_by(AuditLog.occurred_at.desc().nullslast(), AuditLog.id.desc()).limit(limit * 5)
result = await db.execute(query)
records = result.scalars().all()
for record in records:
occurred_at = record.occurred_at.date().isoformat() if record.occurred_at else ""
if start_date and occurred_at and occurred_at < start_date:
continue
if end_date and occurred_at and occurred_at > end_date:
continue
line = " ".join(
part
for part in [
record.occurred_at.isoformat() if record.occurred_at else "",
"INFO",
record.action,
record.target_type or "",
record.target_id or "",
record.result or "",
]
if part
)
if search_query and search_query not in line.lower():
continue
lines.append(line)
else:
return None
lines = list(reversed(lines[:limit]))
return {
"source_id": source_id,
"name": "系统事件" if source_id == "system-db" else "审计事件",
"kind": "database",
"location": "table://system_logs" if source_id == "system-db" else "table://audit_logs",
"description": "数据库持久化日志",
"category": "database" if source_id == "system-db" else "audit",
"status": "ok" if lines else "empty",
"level": level,
"selected_levels": sorted(selected_levels),
"search_query": search or "",
"available_levels": ["all", "error", "warning", "info", "debug"],
"daily_markers": [],
"line_limit": limit,
"line_count": len(lines),
"lines": lines,
}
@router.get("/logs/{source_id}", response_model=SystemLogSnapshotResponse)
@@ -283,6 +480,7 @@ async def get_system_log_snapshot(
end_date: str | None = Query(None, description="Filter logs until this date (YYYY-MM-DD)"),
search: str | None = Query(None, description="Case-insensitive substring search"),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
ensure_super_admin(current_user)
@@ -305,15 +503,26 @@ async def get_system_log_snapshot(
if normalized_start_date and normalized_end_date and normalized_start_date > normalized_end_date:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="start_date must be earlier than or equal to end_date")
snapshot = read_log_snapshot(
snapshot = await read_database_log_snapshot(
source_id,
limit,
limit=limit,
level=level,
levels=levels,
start_date=normalized_start_date,
end_date=normalized_end_date,
search=search,
db=db,
)
if snapshot is None:
snapshot = read_log_snapshot(
source_id,
limit,
level=level,
levels=levels,
start_date=normalized_start_date,
end_date=normalized_end_date,
search=search,
)
if snapshot is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Log source not found")
return snapshot

View File

@@ -27,7 +27,9 @@ async def list_tasks(
offset = (page - 1) * page_size
query = """
SELECT ct.id, ct.datasource_id, ds.name as datasource_name, ct.status,
ct.started_at, ct.completed_at, ct.records_processed, ct.error_message
ct.started_at, ct.completed_at, ct.records_processed, ct.error_message,
ct.phase, ct.phase_progress, ct.phase_message, ct.phase_current,
ct.phase_total, ct.phase_unit, ct.total_records, ct.progress
FROM collection_tasks ct
JOIN data_sources ds ON ct.datasource_id = ds.id
WHERE 1=1
@@ -66,6 +68,14 @@ async def list_tasks(
"completed_at": to_iso8601_utc(t[5]),
"records_processed": t[6],
"error_message": t[7],
"phase": t[8],
"phase_progress": t[9],
"phase_message": t[10],
"phase_current": t[11],
"phase_total": t[12],
"phase_unit": t[13],
"total_records": t[14],
"progress": t[15],
}
for t in tasks
],
@@ -81,7 +91,9 @@ async def get_task(
result = await db.execute(
text("""
SELECT ct.id, ct.datasource_id, ds.name as datasource_name, ct.status,
ct.started_at, ct.completed_at, ct.records_processed, ct.error_message
ct.started_at, ct.completed_at, ct.records_processed, ct.error_message,
ct.phase, ct.phase_progress, ct.phase_message, ct.phase_current,
ct.phase_total, ct.phase_unit, ct.total_records, ct.progress
FROM collection_tasks ct
JOIN data_sources ds ON ct.datasource_id = ds.id
WHERE ct.id = :id
@@ -105,6 +117,14 @@ async def get_task(
"completed_at": to_iso8601_utc(task[5]),
"records_processed": task[6],
"error_message": task[7],
"phase": task[8],
"phase_progress": task[9],
"phase_message": task[10],
"phase_current": task[11],
"phase_total": task[12],
"phase_unit": task[13],
"total_records": task[14],
"progress": task[15],
}

View File

@@ -1,3 +1,4 @@
import json
from typing import List
from fastapi import APIRouter, Depends, HTTPException, status
@@ -7,10 +8,12 @@ from sqlalchemy import text
from app.core.security import get_current_user, get_password_hash
from app.db.session import get_db
from app.models.user import User
from app.schemas.user import UserCreate, UserResponse, UserUpdate
from app.schemas.user import UserCreate, UserUpdate
router = APIRouter()
VALID_GATEKEEPER_GROUPS = {"docs_user", "docs_developer", "docs_admin"}
def check_permission(current_user: User, required_roles: List[str]) -> bool:
user_role_value = (
@@ -52,7 +55,7 @@ async def list_users(
offset = (page - 1) * page_size
query = text(
f"SELECT id, username, email, role, is_active, last_login_at, created_at FROM users WHERE {where_sql} ORDER BY created_at DESC LIMIT {page_size} OFFSET {offset}"
f"SELECT id, username, email, role, is_active, last_login_at, created_at, gatekeeper_groups FROM users WHERE {where_sql} ORDER BY created_at DESC LIMIT {page_size} OFFSET {offset}"
)
count_query = text(f"SELECT COUNT(*) FROM users WHERE {where_sql}")
@@ -75,6 +78,7 @@ async def list_users(
"is_active": u[4],
"last_login_at": u[5],
"created_at": u[6],
"gatekeeper_groups": u[7] or [],
}
for u in users
],
@@ -95,7 +99,7 @@ async def get_user(
result = await db.execute(
text(
"SELECT id, username, email, role, is_active, last_login_at, created_at FROM users WHERE id = :id"
"SELECT id, username, email, role, is_active, last_login_at, created_at, gatekeeper_groups FROM users WHERE id = :id"
),
{"id": user_id},
)
@@ -114,6 +118,7 @@ async def get_user(
"is_active": user[4],
"last_login_at": user[5],
"created_at": user[6],
"gatekeeper_groups": user[7] or [],
}
@@ -128,6 +133,12 @@ async def create_user(
status_code=status.HTTP_403_FORBIDDEN,
detail="Only super_admin can create users",
)
invalid_groups = sorted(set(user_data.gatekeeper_groups) - VALID_GATEKEEPER_GROUPS)
if invalid_groups:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Unsupported Gatekeeper groups: {', '.join(invalid_groups)}",
)
result = await db.execute(
text("SELECT id FROM users WHERE username = :username OR email = :email"),
@@ -142,13 +153,14 @@ async def create_user(
hashed_password = get_password_hash(user_data.password)
await db.execute(
text("""INSERT INTO users (username, email, password_hash, role, is_active, created_at, updated_at)
VALUES (:username, :email, :password_hash, :role, :is_active, NOW(), NOW())"""),
text("""INSERT INTO users (username, email, password_hash, role, gatekeeper_groups, is_active, created_at, updated_at)
VALUES (:username, :email, :password_hash, :role, CAST(:gatekeeper_groups AS jsonb), :is_active, NOW(), NOW())"""),
{
"username": user_data.username,
"email": user_data.email,
"password_hash": hashed_password,
"role": user_data.role,
"gatekeeper_groups": json.dumps(user_data.gatekeeper_groups),
"is_active": True,
},
)
@@ -172,6 +184,7 @@ async def create_user(
"username": user_data.username,
"email": user_data.email,
"role": user_data.role,
"gatekeeper_groups": user_data.gatekeeper_groups,
"is_active": True,
}
@@ -194,6 +207,18 @@ async def update_user(
status_code=status.HTTP_403_FORBIDDEN,
detail="Only super_admin can change user role",
)
if not check_permission(current_user, ["super_admin"]) and user_data.gatekeeper_groups is not None:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Only super_admin can change Gatekeeper groups",
)
if user_data.gatekeeper_groups is not None:
invalid_groups = sorted(set(user_data.gatekeeper_groups) - VALID_GATEKEEPER_GROUPS)
if invalid_groups:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Unsupported Gatekeeper groups: {', '.join(invalid_groups)}",
)
result = await db.execute(
text("SELECT id FROM users WHERE id = :id"),
@@ -213,6 +238,9 @@ async def update_user(
if user_data.role is not None:
update_fields.append("role = :role")
params["role"] = user_data.role
if user_data.gatekeeper_groups is not None:
update_fields.append("gatekeeper_groups = CAST(:gatekeeper_groups AS jsonb)")
params["gatekeeper_groups"] = json.dumps(user_data.gatekeeper_groups)
if user_data.is_active is not None:
update_fields.append("is_active = :is_active")
params["is_active"] = user_data.is_active

View File

@@ -0,0 +1,132 @@
"""v4 strategy + v5 conflict-promotion + enrichment APIs for vessel_ais."""
from __future__ import annotations
from typing import Any
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.security import get_current_user
from app.db.session import get_db
from app.models.user import User
from app.models.vessel import AISConflictRecord
from app.services.vessel_aggregation_strategy import (
StrategyValidationError,
load_strategy,
reset_strategy,
save_strategy,
)
from app.services.vessel_enrichment import (
get_vessel_enrichment_bundle,
upsert_vessel_media_enrichment,
upsert_vessel_profile_enrichment,
)
router = APIRouter()
@router.get("/strategy")
async def get_aggregation_strategy(db: AsyncSession = Depends(get_db)):
return await load_strategy(db)
@router.put("/strategy")
async def put_aggregation_strategy(
payload: dict[str, Any],
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
try:
return await save_strategy(db, payload)
except StrategyValidationError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
@router.delete("/strategy")
async def reset_aggregation_strategy(
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
return await reset_strategy(db)
@router.post("/conflicts/{mmsi}/{field}/promote-to-rule")
async def promote_conflict_to_rule(
mmsi: int,
field: str,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""Lift the current conflict resolution into a persistent strategy rule."""
result = await db.execute(
select(AISConflictRecord)
.where(AISConflictRecord.target_schema == "vessel_ais")
.where(AISConflictRecord.entity_key == str(mmsi))
.where(AISConflictRecord.field == field)
.order_by(AISConflictRecord.updated_at.desc(), AISConflictRecord.id.desc())
.limit(1)
)
record = result.scalar_one_or_none()
if record is None or not record.selected_source:
raise HTTPException(status_code=404, detail="Conflict record with selected_source not found")
strategy = await load_strategy(db)
vessel_ais = dict(strategy.get("vessel_ais") or {})
field_rules = dict(vessel_ais.get("field_rules") or {})
field_rules[field] = {"mode": "source_priority", "source_priority": [record.selected_source]}
vessel_ais["field_rules"] = field_rules
incoming = {"version": int(strategy.get("version") or 0), "vessel_ais": vessel_ais}
try:
return await save_strategy(db, incoming)
except StrategyValidationError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
@router.delete("/conflicts/{mmsi}/{field}/promote-to-rule")
async def revert_conflict_rule(
mmsi: int,
field: str,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
strategy = await load_strategy(db)
vessel_ais = dict(strategy.get("vessel_ais") or {})
field_rules = dict(vessel_ais.get("field_rules") or {})
if field in field_rules:
del field_rules[field]
vessel_ais["field_rules"] = field_rules
incoming = {"version": int(strategy.get("version") or 0), "vessel_ais": vessel_ais}
try:
return await save_strategy(db, incoming)
except StrategyValidationError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
@router.get("/enrichment/{mmsi}")
async def get_vessel_enrichment(mmsi: int, db: AsyncSession = Depends(get_db)):
return await get_vessel_enrichment_bundle(db, mmsi)
@router.put("/enrichment/{mmsi}/profile")
async def put_vessel_profile_enrichment(
mmsi: int,
payload: dict[str, Any],
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
return await upsert_vessel_profile_enrichment(db, mmsi=mmsi, payload=payload)
@router.put("/enrichment/{mmsi}/media")
async def put_vessel_media_enrichment(
mmsi: int,
payload: dict[str, Any],
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
return await upsert_vessel_media_enrichment(db, mmsi=mmsi, payload=payload)

View File

@@ -0,0 +1,41 @@
"""Bounded vessel snapshot APIs for viewport-first consumers."""
from typing import Optional
from fastapi import APIRouter, Depends, HTTPException, Query, Response
from sqlalchemy.ext.asyncio import AsyncSession
from app.api.v1.visualization import _parse_bbox, build_vessel_snapshot_response
from app.db.session import get_db
from app.services.vessel_ais_aggregation import MAX_SNAPSHOT_LIMIT
router = APIRouter()
@router.get("/snapshot")
async def get_vessel_snapshot(
bbox: Optional[str] = Query(None, description="Viewport bbox as lon_min,lat_min,lon_max,lat_max"),
zoom: int = Query(..., ge=1, le=20, description="Current map zoom level"),
type: Optional[str] = Query(
None,
description="Comma-separated vessel types: cargo,tanker,passenger,fishing,military,other",
),
limit: int = Query(1000, ge=1, le=MAX_SNAPSHOT_LIMIT),
since_minutes: int = Query(60, ge=1, le=1440),
db: AsyncSession = Depends(get_db),
response: Response = None,
):
if not bbox:
raise HTTPException(status_code=400, detail="bbox is required")
parsed_bbox = _parse_bbox(bbox)
if parsed_bbox is None:
raise HTTPException(status_code=400, detail="bbox is required")
return await build_vessel_snapshot_response(
db,
bbox=parsed_bbox,
zoom=zoom,
type_filter=type,
limit=limit,
since_minutes=since_minutes,
response=response,
)

File diff suppressed because it is too large Load Diff

View File

@@ -1,7 +1,6 @@
"""WebSocket API endpoints"""
import asyncio
import json
from datetime import UTC, datetime
from typing import Optional
@@ -15,6 +14,7 @@ from app.core.websocket.manager import manager
logger = get_logger(__name__, service="api")
router = APIRouter()
EARTH_UPDATES_CHANNEL = "earth_updates"
async def authenticate_token(token: str) -> Optional[dict]:
@@ -40,16 +40,16 @@ async def authenticate_token(token: str) -> Optional[dict]:
@router.websocket("/ws")
async def websocket_endpoint(
websocket: WebSocket,
token: str = Query(...),
token: str | None = Query(None),
):
"""WebSocket endpoint for real-time data"""
logger.info_event(
"WebSocket connection attempt",
event="auth.websocket.connection_attempt",
context={"token_preview": f"{token[:8]}..."},
context={"token_preview": f"{token[:8]}..." if token else "anonymous"},
)
payload = await authenticate_token(token)
if payload is None:
payload = await authenticate_token(token) if token else None
if token and payload is None:
logger.warning_event(
"WebSocket authentication failed, closing connection",
event="auth.websocket.connection_rejected",
@@ -57,7 +57,19 @@ async def websocket_endpoint(
await websocket.close(code=4001)
return
user_id = str(payload.get("sub"))
is_anonymous = payload is None
user_id = str(payload.get("sub")) if payload else f"anonymous:{id(websocket)}"
supported_channels = ["vessels", "earth_news", EARTH_UPDATES_CHANNEL] if is_anonymous else [
"gpu_clusters",
"submarine_cables",
"ixp_nodes",
"alerts",
"dashboard",
"datasource_tasks",
"vessels",
"earth_news",
EARTH_UPDATES_CHANNEL,
]
await manager.connect(websocket, user_id)
try:
@@ -68,14 +80,7 @@ async def websocket_endpoint(
"connection_id": f"conn_{user_id}",
"server_version": settings.VERSION,
"heartbeat_interval": 30,
"supported_channels": [
"gpu_clusters",
"submarine_cables",
"ixp_nodes",
"alerts",
"dashboard",
"datasource_tasks",
],
"supported_channels": supported_channels,
},
}
)
@@ -92,11 +97,53 @@ async def websocket_endpoint(
}
)
elif data.get("type") == "subscribe":
channels = data.get("data", {}).get("channels", [])
payload_data = data.get("data", {})
if not isinstance(payload_data, dict):
payload_data = {}
channels = payload_data.get("channels", [])
if isinstance(channels, str):
channels = [channels]
elif not isinstance(channels, list):
channels = []
channel = payload_data.get("channel")
if channel and channel not in channels:
channels = [*channels, channel]
if is_anonymous:
channels = [channel for channel in channels if channel in supported_channels]
vessel_subscription = None
if "vessels" in channels and "bbox" in payload_data:
try:
vessel_subscription = manager.subscribe_vessels(websocket, payload_data)
except ValueError as exc:
await websocket.send_json(
{
"type": "subscription_error",
"data": {"channel": "vessels", "detail": str(exc)},
}
)
continue
channels = [channel for channel in channels if channel != "vessels"]
manager.subscribe(websocket, channels)
await websocket.send_json(
{
"type": "subscription_confirmed",
"data": {"action": "subscribe", "channels": channels},
"data": {
"action": "subscribe",
"channels": [
*channels,
*(["vessels"] if vessel_subscription else []),
],
"vessels": vessel_subscription,
},
}
)
elif data.get("type") == "unsubscribe":
channels = data.get("data", {}).get("channels", [])
manager.unsubscribe(websocket, channels)
await websocket.send_json(
{
"type": "subscription_confirmed",
"data": {"action": "unsubscribe", "channels": channels},
}
)
elif data.get("type") == "control_frame":

View File

@@ -4,8 +4,8 @@ from typing import Any, Dict, Optional
FIELD_ALIASES = {
"country": ("country",),
"city": ("city",),
"latitude": ("latitude",),
"longitude": ("longitude",),
"latitude": ("latitude", "lat"),
"longitude": ("longitude", "lon", "lng"),
"value": ("value",),
"unit": ("unit",),
"cores": ("cores",),
@@ -14,6 +14,28 @@ FIELD_ALIASES = {
"power": ("power",),
}
NESTED_FIELD_ALIASES = {
"latitude": (
("location", "latitude"),
("location", "lat"),
("geo", "latitude"),
("geo", "lat"),
("coordinates", "latitude"),
("coordinates", "lat"),
),
"longitude": (
("location", "longitude"),
("location", "lon"),
("location", "lng"),
("geo", "longitude"),
("geo", "lon"),
("geo", "lng"),
("coordinates", "longitude"),
("coordinates", "lon"),
("coordinates", "lng"),
),
}
def get_metadata_field(metadata: Optional[Dict[str, Any]], field: str, fallback: Any = None) -> Any:
if isinstance(metadata, dict):
@@ -21,9 +43,34 @@ def get_metadata_field(metadata: Optional[Dict[str, Any]], field: str, fallback:
value = metadata.get(key)
if value not in (None, ""):
return value
for path in NESTED_FIELD_ALIASES.get(field, ()):
current: Any = metadata
for key in path:
if not isinstance(current, dict):
current = None
break
current = current.get(key)
if current not in (None, ""):
return current
if field in {"latitude", "longitude"}:
value = _get_coordinate_sequence_value(metadata, field)
if value not in (None, ""):
return value
return fallback
def _get_coordinate_sequence_value(metadata: Dict[str, Any], field: str) -> Any:
for key in ("coordinates", "coord", "coords"):
value = metadata.get(key)
if not isinstance(value, (list, tuple)) or len(value) < 2:
continue
# GeoJSON uses [longitude, latitude]. Most raw collector tuples in this
# codebase use explicit field names, so only sequence aliases are treated
# as GeoJSON-shaped to avoid guessing.
return value[1] if field == "latitude" else value[0]
return None
def build_dynamic_metadata(
metadata: Optional[Dict[str, Any]],
*,

View File

@@ -1,7 +1,6 @@
import os
import yaml
from functools import lru_cache
from typing import Optional
COLLECTOR_URL_KEYS = {
@@ -31,6 +30,8 @@ COLLECTOR_URL_KEYS = {
"opengeofeed_prefix_geo": "opengeofeed.public_csv_url",
"nro_delegated_prefix_geo": "nro.delegated_stats_url",
"news_live_streams": "news_live_streams.channels_url",
"barentswatch_vessels": "barentswatch_vessels.url",
"aisstream_vessels": "aisstream_vessels.url",
}
@@ -73,7 +74,7 @@ class DataSourcesConfig:
from app.models.datasource_config import DataSourceConfig
query = select(DataSourceConfig).where(
DataSourceConfig.name == collector_name, DataSourceConfig.is_active == True
DataSourceConfig.name == collector_name, DataSourceConfig.is_active
)
result = await db.execute(query)
db_config = result.scalar_one_or_none()

View File

@@ -94,3 +94,11 @@ news_live_streams:
streams_url: "https://iptv-org.github.io/api/streams.json"
# IPTV-org 台标 JSON
logos_url: "https://iptv-org.github.io/api/logos.json"
barentswatch_vessels:
# BarentsWatch Live AIS latest combined endpoint. Requires an AIS bearer token.
url: "https://live.ais.barentswatch.no/v1/latest/combined"
aisstream_vessels:
# AISStream realtime WebSocket endpoint. Requires an AISStream API key.
url: "wss://stream.aisstream.io/v0/stream"

View File

@@ -4,163 +4,268 @@ DEFAULT_DATASOURCES = {
"top500": {
"id": 1,
"name": "TOP500 Supercomputers",
"display_name": "TOP500 超算榜单",
"module": "L1",
"priority": "P0",
"frequency_minutes": 240,
"is_free": True,
"requires_credentials": False,
},
"epoch_ai_gpu": {
"id": 2,
"name": "Epoch AI GPU Clusters",
"display_name": "Epoch AI GPU 集群",
"module": "L1",
"priority": "P0",
"frequency_minutes": 360,
"is_free": True,
"requires_credentials": False,
},
"huggingface_models": {
"id": 3,
"name": "HuggingFace Models",
"display_name": "Hugging Face 模型",
"module": "L2",
"priority": "P1",
"frequency_minutes": 720,
"is_free": True,
"requires_credentials": False,
},
"huggingface_datasets": {
"id": 4,
"name": "HuggingFace Datasets",
"display_name": "Hugging Face 数据集",
"module": "L2",
"priority": "P1",
"frequency_minutes": 720,
"is_free": True,
"requires_credentials": False,
},
"huggingface_spaces": {
"id": 5,
"name": "HuggingFace Spaces",
"display_name": "Hugging Face Spaces",
"module": "L2",
"priority": "P2",
"frequency_minutes": 1440,
"is_free": True,
"requires_credentials": False,
},
"peeringdb_ixp": {
"id": 6,
"name": "PeeringDB IXP",
"display_name": "PeeringDB 交换中心",
"module": "L2",
"priority": "P1",
"frequency_minutes": 1440,
"is_free": True,
"requires_credentials": False,
},
"peeringdb_network": {
"id": 7,
"name": "PeeringDB Networks",
"display_name": "PeeringDB 网络",
"module": "L2",
"priority": "P2",
"frequency_minutes": 2880,
"is_free": True,
"requires_credentials": False,
},
"peeringdb_facility": {
"id": 8,
"name": "PeeringDB Facilities",
"display_name": "PeeringDB 设施",
"module": "L2",
"priority": "P2",
"frequency_minutes": 2880,
"is_free": True,
"requires_credentials": False,
},
"telegeography_cables": {
"id": 9,
"name": "Submarine Cables",
"display_name": "海底光缆",
"module": "L2",
"priority": "P1",
"frequency_minutes": 10080,
"is_free": True,
"requires_credentials": False,
},
"telegeography_landing": {
"id": 10,
"name": "Cable Landing Points",
"display_name": "光缆登陆点",
"module": "L2",
"priority": "P2",
"frequency_minutes": 10080,
"is_free": True,
"requires_credentials": False,
},
"telegeography_systems": {
"id": 11,
"name": "Cable Systems",
"display_name": "光缆系统",
"module": "L2",
"priority": "P2",
"frequency_minutes": 10080,
"is_free": True,
"requires_credentials": False,
},
"arcgis_cables": {
"id": 15,
"name": "ArcGIS Submarine Cables",
"display_name": "ArcGIS 海底光缆",
"module": "L2",
"priority": "P1",
"frequency_minutes": 10080,
"is_free": True,
"requires_credentials": False,
},
"arcgis_landing_points": {
"id": 16,
"name": "ArcGIS Landing Points",
"display_name": "ArcGIS 登陆点",
"module": "L2",
"priority": "P1",
"frequency_minutes": 10080,
"is_free": True,
"requires_credentials": False,
},
"arcgis_cable_landing_relation": {
"id": 17,
"name": "ArcGIS Cable-Landing Relations",
"display_name": "ArcGIS 光缆登陆关系",
"module": "L2",
"priority": "P1",
"frequency_minutes": 10080,
"is_free": True,
"requires_credentials": False,
},
"fao_landing_points": {
"id": 18,
"name": "FAO Landing Points",
"display_name": "FAO 登陆点",
"module": "L2",
"priority": "P1",
"frequency_minutes": 10080,
"is_free": True,
"requires_credentials": False,
},
"spacetrack_tle": {
"id": 19,
"name": "Space-Track TLE",
"display_name": "Space-Track 轨道根数",
"module": "L3",
"priority": "P2",
"frequency_minutes": 1440,
"is_free": True,
"requires_credentials": True,
"credential_provider": "spacetrack",
"credential_status": "planned",
},
"celestrak_tle": {
"id": 20,
"name": "CelesTrak TLE",
"display_name": "CelesTrak 轨道根数",
"module": "L3",
"priority": "P2",
"frequency_minutes": 1440,
"is_free": True,
"requires_credentials": False,
},
"ris_live_bgp": {
"id": 21,
"name": "RIPE RIS Live BGP",
"display_name": "RIPE RIS 实时 BGP",
"module": "L3",
"priority": "P1",
"frequency_minutes": 15,
"is_free": True,
"requires_credentials": False,
},
"bgpstream_bgp": {
"id": 22,
"name": "CAIDA BGPStream Backfill",
"display_name": "CAIDA BGPStream 回填",
"module": "L3",
"priority": "P1",
"frequency_minutes": 360,
"is_free": True,
"requires_credentials": False,
},
"iptoasn_prefix_geo": {
"id": 23,
"name": "IPtoASN Prefix Geography",
"display_name": "IPtoASN 前缀地理",
"module": "L3",
"priority": "P1",
"frequency_minutes": 1440,
"is_free": True,
"requires_credentials": False,
},
"opengeofeed_prefix_geo": {
"id": 24,
"name": "OpenGeoFeed Prefix Geography",
"display_name": "OpenGeoFeed 前缀地理",
"module": "L3",
"priority": "P1",
"frequency_minutes": 1440,
"is_free": True,
"requires_credentials": False,
},
"nro_delegated_prefix_geo": {
"id": 25,
"name": "NRO Delegated Prefix Geography",
"display_name": "NRO 分配前缀地理",
"module": "L3",
"priority": "P1",
"frequency_minutes": 1440,
"is_free": True,
"requires_credentials": False,
},
"news_live_streams": {
"id": 26,
"name": "News Live Streams",
"display_name": "新闻直播源",
"module": "L4",
"priority": "P2",
"frequency_minutes": 720,
"is_free": True,
"requires_credentials": False,
},
"barentswatch_vessels": {
"id": 27,
"name": "BarentsWatch AIS Vessels",
"display_name": "BarentsWatch AIS 船舶",
"module": "L4",
"priority": "P1",
"frequency_minutes": 1,
"is_free": True,
"requires_credentials": True,
"credential_provider": "barentswatch",
"credential_status": "supported",
},
"aisstream_vessels": {
"id": 28,
"name": "AISStream Vessels",
"display_name": "AISStream 实时船舶",
"module": "L4",
"priority": "P1",
"frequency_minutes": 1,
"is_free": True,
"requires_credentials": True,
"credential_provider": "aisstream",
"credential_status": "supported",
},
"media_news_archive": {
"id": 33,
"name": "Media News Archive",
"display_name": "媒体新闻归档",
"module": "L4",
"priority": "P2",
"frequency_minutes": 720,
"is_free": True,
"requires_credentials": False,
},
}

View File

@@ -105,7 +105,7 @@ async def get_current_user(
)
result = await db.execute(
text(
"SELECT id, username, email, password_hash, role, is_active FROM users WHERE id = :id"
"SELECT id, username, email, password_hash, role, is_active, gatekeeper_groups FROM users WHERE id = :id"
),
{"id": int(user_id)},
)
@@ -122,6 +122,7 @@ async def get_current_user(
user.password_hash = row[3]
user.role = row[4]
user.is_active = row[5]
user.gatekeeper_groups = row[6] or []
return user
@@ -144,7 +145,7 @@ async def get_current_user_refresh(
)
result = await db.execute(
text(
"SELECT id, username, email, password_hash, role, is_active FROM users WHERE id = :id"
"SELECT id, username, email, password_hash, role, is_active, gatekeeper_groups FROM users WHERE id = :id"
),
{"id": int(user_id)},
)
@@ -161,6 +162,7 @@ async def get_current_user_refresh(
user.password_hash = row[3]
user.role = row[4]
user.is_active = row[5]
user.gatekeeper_groups = row[6] or []
return user

View File

@@ -0,0 +1,157 @@
"""Registry of target schemas supported by mapped custom data sources."""
from __future__ import annotations
from dataclasses import dataclass
from datetime import datetime
from typing import Any
from pydantic import BaseModel, Field, ValidationError, field_validator
class VesselAISRecord(BaseModel):
mmsi: int = Field(ge=100000000, le=999999999)
lat: float = Field(ge=-90, le=90)
lon: float = Field(ge=-180, le=180)
sog: float | None = None
cog: float | None = Field(default=None, ge=0, le=360)
heading: int | None = Field(default=None, ge=0, le=511)
nav_status: int | None = None
name: str | None = None
callsign: str | None = None
vessel_type: str | int | None = None
vessel_type_name: str | None = None
received_at: datetime | None = None
class GeoPointRecord(BaseModel):
lat: float = Field(ge=-90, le=90)
lon: float = Field(ge=-180, le=180)
name: str | None = None
type: str | None = None
source_id: str | None = None
observed_at: datetime | None = None
metadata: dict[str, Any] = Field(default_factory=dict)
class GenericRecord(BaseModel):
data: dict[str, Any] = Field(default_factory=dict)
source_id: str | None = None
observed_at: datetime | None = None
@field_validator("data")
@classmethod
def require_payload(cls, value: dict[str, Any]) -> dict[str, Any]:
if not value:
raise ValueError("generic_records requires a non-empty data object")
return value
@dataclass(frozen=True)
class TargetField:
name: str
type: str
required: bool = False
description: str = ""
example: Any = None
def to_dict(self) -> dict[str, Any]:
return {
"name": self.name,
"type": self.type,
"required": self.required,
"description": self.description,
"example": self.example,
}
@dataclass(frozen=True)
class TargetSchema:
key: str
label: str
description: str
fields: tuple[TargetField, ...]
model: type[BaseModel]
destination: str
def to_dict(self) -> dict[str, Any]:
return {
"key": self.key,
"label": self.label,
"description": self.description,
"destination": self.destination,
"fields": [field.to_dict() for field in self.fields],
}
def validate_record(self, record: dict[str, Any]) -> tuple[dict[str, Any] | None, list[str]]:
try:
return self.model.model_validate(record).model_dump(mode="json"), []
except ValidationError as exc:
return None, [
".".join(str(part) for part in error["loc"]) + f": {error['msg']}"
for error in exc.errors()
]
TARGET_SCHEMAS: dict[str, TargetSchema] = {
"vessel_ais": TargetSchema(
key="vessel_ais",
label="船舶 AIS",
description="船只位置、航速、航向、MMSI 等 AIS 数据。",
destination="vessel_position",
model=VesselAISRecord,
fields=(
TargetField("mmsi", "integer", True, "MMSI 九位船舶标识", 257123000),
TargetField("lat", "float", True, "纬度", 59.91),
TargetField("lon", "float", True, "经度", 10.75),
TargetField("sog", "float", False, "对地航速,单位节", 12.4),
TargetField("cog", "float", False, "对地航向0-360 度", 184.5),
TargetField("heading", "integer", False, "船首向0-511", 186),
TargetField("nav_status", "integer", False, "导航状态码", 0),
TargetField("name", "string", False, "船名", "OSLO EXPRESS"),
TargetField("callsign", "string", False, "呼号", "LAAB"),
TargetField("vessel_type", "string", False, "船型代码", 70),
TargetField("vessel_type_name", "string", False, "船型名称", "Cargo"),
TargetField("received_at", "datetime", False, "数据接收时间", "2026-04-28T00:00:00Z"),
),
),
"geo_points": TargetSchema(
key="geo_points",
label="通用地理点",
description="带经纬度的通用实体或事件点位。",
destination="generic_geo_points",
model=GeoPointRecord,
fields=(
TargetField("lat", "float", True, "纬度", 1.3),
TargetField("lon", "float", True, "经度", 103.8),
TargetField("name", "string", False, "点位名称", "Singapore"),
TargetField("type", "string", False, "点位类型", "datacenter"),
TargetField("source_id", "string", False, "来源侧 ID", "sg-1"),
TargetField("observed_at", "datetime", False, "观测时间", "2026-04-28T00:00:00Z"),
TargetField("metadata", "object", False, "扩展字段", {"provider": "example"}),
),
),
"generic_records": TargetSchema(
key="generic_records",
label="通用结构化记录",
description="未知结构数据沉淀,不直接进入 Earth 图层。",
destination="collected_data",
model=GenericRecord,
fields=(
TargetField("data", "object", True, "结构化记录主体", {"raw": "value"}),
TargetField("source_id", "string", False, "来源侧 ID", "record-1"),
TargetField("observed_at", "datetime", False, "观测时间", "2026-04-28T00:00:00Z"),
),
),
}
def list_target_schemas() -> list[dict[str, Any]]:
return [schema.to_dict() for schema in TARGET_SCHEMAS.values()]
def get_target_schema(key: str) -> TargetSchema:
try:
return TARGET_SCHEMAS[key]
except KeyError as exc:
raise ValueError(f"Unsupported target schema: {key}") from exc

View File

@@ -2,12 +2,14 @@
import asyncio
from datetime import UTC, datetime
from typing import Dict, Any, Optional
from typing import Dict, Any
from app.core.time import to_iso8601_utc
from app.core.websocket.manager import manager
EARTH_UPDATES_CHANNEL = "earth_updates"
class DataBroadcaster:
"""Periodically broadcasts data to connected WebSocket clients"""
@@ -15,6 +17,8 @@ class DataBroadcaster:
def __init__(self):
self.running = False
self.tasks: Dict[str, asyncio.Task] = {}
self._pending_vessel_updates: Dict[str, Dict[str, Any]] = {}
self._vessel_flush_interval = 1.0
async def get_dashboard_stats(self) -> Dict[str, Any]:
"""Get dashboard statistics"""
@@ -68,6 +72,9 @@ class DataBroadcaster:
async def broadcast_custom(self, channel: str, data: Dict[str, Any]):
"""Broadcast custom data to a specific channel"""
if channel == "vessels":
self.enqueue_vessel_update(data)
return
await manager.broadcast(
{
"type": "data_frame",
@@ -75,9 +82,65 @@ class DataBroadcaster:
"timestamp": to_iso8601_utc(datetime.now(UTC)),
"payload": data,
},
channel=channel if channel in manager.active_connections else "all",
channel=channel,
)
async def broadcast_earth_update(self, data: Dict[str, Any]):
"""Broadcast Earth visualization refresh hints to connected clients."""
await self.broadcast_custom(EARTH_UPDATES_CHANNEL, data)
def enqueue_vessel_update(self, data: Dict[str, Any]):
vessels = data.get("vessels") if isinstance(data, dict) else None
if not isinstance(vessels, list):
return
source = data.get("source")
action = data.get("action") or "upsert"
created = data.get("created")
for vessel in vessels:
if not isinstance(vessel, dict):
continue
mmsi = vessel.get("mmsi")
if mmsi in (None, ""):
continue
self._pending_vessel_updates[str(mmsi)] = {
**vessel,
"_source": source,
"_action": action,
"_created": created,
}
async def flush_vessel_updates(self):
if not self._pending_vessel_updates:
return
pending = self._pending_vessel_updates
self._pending_vessel_updates = {}
vessels = []
for item in pending.values():
vessel = dict(item)
source = vessel.pop("_source", None)
action = vessel.pop("_action", "upsert")
created = vessel.pop("_created", None)
vessel["source"] = source
vessel["action"] = action
vessel["created"] = created
vessels.append(vessel)
await manager.broadcast_vessels(
{
"action": "upsert",
"source": "mixed",
"created": None,
"vessels": vessels,
}
)
async def broadcast_vessels_periodically(self):
while self.running:
try:
await self.flush_vessel_updates()
except Exception:
pass
await asyncio.sleep(self._vessel_flush_interval)
async def broadcast_datasource_task_update(self, data: Dict[str, Any]):
"""Broadcast datasource task progress updates to connected clients."""
await manager.broadcast(
@@ -87,7 +150,7 @@ class DataBroadcaster:
"timestamp": to_iso8601_utc(datetime.now(UTC)),
"payload": data,
},
channel="all",
channel="datasource_tasks",
)
def start(self):
@@ -95,6 +158,7 @@ class DataBroadcaster:
if not self.running:
self.running = True
self.tasks["dashboard"] = asyncio.create_task(self.broadcast_stats(5))
self.tasks["vessels"] = asyncio.create_task(self.broadcast_vessels_periodically())
def stop(self):
"""Stop all broadcasters"""
@@ -102,6 +166,7 @@ class DataBroadcaster:
for task in self.tasks.values():
task.cancel()
self.tasks.clear()
self._pending_vessel_updates.clear()
broadcaster = DataBroadcaster()

View File

@@ -1,20 +1,25 @@
"""WebSocket Connection Manager"""
import json
import asyncio
from typing import Dict, Set, Optional
from datetime import datetime
from datetime import UTC, datetime
from typing import Any, Dict, Set, Optional
from fastapi import WebSocket
import redis.asyncio as redis
from app.core.config import settings
MAX_VESSEL_SUBSCRIPTION_LIMIT = 5000
MAX_VESSEL_WS_MESSAGE_ITEMS = 1000
MAX_VESSEL_BBOX_AREA = 2500.0
class ConnectionManager:
"""Manages WebSocket connections"""
def __init__(self):
self.active_connections: Dict[str, Set[WebSocket]] = {} # user_id -> connections
self.channel_subscriptions: Dict[str, Set[WebSocket]] = {}
self.websocket_channels: Dict[WebSocket, Set[str]] = {}
self.vessel_subscriptions: Dict[WebSocket, dict[str, Any]] = {}
self.redis_client: Optional[redis.Redis] = None
async def connect(self, websocket: WebSocket, user_id: str):
@@ -40,6 +45,83 @@ class ConnectionManager:
self.active_connections[user_id].discard(websocket)
if not self.active_connections[user_id]:
del self.active_connections[user_id]
self.unsubscribe_all(websocket)
def subscribe(self, websocket: WebSocket, channels: list[str]):
normalized_channels = {
str(channel).strip()
for channel in channels
if str(channel).strip()
}
if not normalized_channels:
return
socket_channels = self.websocket_channels.setdefault(websocket, set())
for channel in normalized_channels:
self.channel_subscriptions.setdefault(channel, set()).add(websocket)
socket_channels.add(channel)
def unsubscribe(self, websocket: WebSocket, channels: list[str]):
for channel in {str(channel).strip() for channel in channels if str(channel).strip()}:
subscribers = self.channel_subscriptions.get(channel)
if subscribers is not None:
subscribers.discard(websocket)
if not subscribers:
del self.channel_subscriptions[channel]
socket_channels = self.websocket_channels.get(websocket)
if socket_channels is not None:
socket_channels.discard(channel)
if not socket_channels:
del self.websocket_channels[websocket]
def unsubscribe_all(self, websocket: WebSocket):
channels = list(self.websocket_channels.get(websocket, set()))
if channels:
self.unsubscribe(websocket, channels)
self.vessel_subscriptions.pop(websocket, None)
def subscribe_vessels(self, websocket: WebSocket, config: dict[str, Any]) -> dict[str, Any]:
subscription = self._normalize_vessel_subscription(config)
self.channel_subscriptions.setdefault("vessels", set()).add(websocket)
self.websocket_channels.setdefault(websocket, set()).add("vessels")
self.vessel_subscriptions[websocket] = subscription
return subscription
def _normalize_vessel_subscription(self, config: dict[str, Any]) -> dict[str, Any]:
bbox = config.get("bbox")
if not isinstance(bbox, (list, tuple)) or len(bbox) != 4:
raise ValueError("vessels subscription requires bbox=[lon_min,lat_min,lon_max,lat_max]")
try:
lon_min, lat_min, lon_max, lat_max = [float(value) for value in bbox]
except (TypeError, ValueError) as exc:
raise ValueError("bbox values must be numbers") from exc
if lat_min > lat_max:
lat_min, lat_max = lat_max, lat_min
if lon_min > lon_max:
lon_min, lon_max = lon_max, lon_min
if not (-180 <= lon_min <= 180 and -180 <= lon_max <= 180):
raise ValueError("bbox longitude values must be between -180 and 180")
if not (-90 <= lat_min <= 90 and -90 <= lat_max <= 90):
raise ValueError("bbox latitude values must be between -90 and 90")
if (lon_max - lon_min) * (lat_max - lat_min) > MAX_VESSEL_BBOX_AREA:
raise ValueError("bbox is too large; zoom in or request a smaller viewport")
zoom = int(config.get("zoom") or 1)
if zoom < 1 or zoom > 20:
raise ValueError("zoom must be between 1 and 20")
limit = min(max(int(config.get("limit") or 1000), 1), MAX_VESSEL_SUBSCRIPTION_LIMIT)
vessel_types = {
str(item).strip().lower()
for item in str(config.get("type") or "").split(",")
if str(item).strip()
}
return {
"bbox": (lon_min, lat_min, lon_max, lat_max),
"zoom": zoom,
"limit": limit,
"type": vessel_types,
"last_sent_at": None,
}
async def send_personal_message(self, message: dict, user_id: str):
if user_id in self.active_connections:
@@ -54,13 +136,72 @@ class ConnectionManager:
for user_id in self.active_connections:
await self.send_personal_message(message, user_id)
else:
await self.send_personal_message(message, channel)
for connection in list(self.channel_subscriptions.get(channel, set())):
try:
await connection.send_json(message)
except Exception:
self.unsubscribe_all(connection)
async def broadcast_vessels(self, data: dict[str, Any]):
vessels = data.get("vessels") if isinstance(data, dict) else None
if not isinstance(vessels, list) or not vessels:
return
for connection, subscription in list(self.vessel_subscriptions.items()):
matched = [
vessel
for vessel in vessels
if self._vessel_matches_subscription(vessel, subscription)
][: min(subscription["limit"], MAX_VESSEL_WS_MESSAGE_ITEMS)]
if not matched:
continue
subscription["last_sent_at"] = datetime.now(UTC)
message = {
"type": "data_frame",
"channel": "vessels",
"timestamp": subscription["last_sent_at"].isoformat(),
"payload": {
**data,
"vessels": matched,
"subscription": {
"bbox": list(subscription["bbox"]),
"zoom": subscription["zoom"],
"limit": subscription["limit"],
},
},
}
try:
await connection.send_json(message)
except Exception:
self.unsubscribe_all(connection)
def _vessel_matches_subscription(
self,
vessel: dict[str, Any],
subscription: dict[str, Any],
) -> bool:
try:
lon = float(vessel.get("lon"))
lat = float(vessel.get("lat"))
except (TypeError, ValueError):
return False
lon_min, lat_min, lon_max, lat_max = subscription["bbox"]
if not (lon_min <= lon <= lon_max and lat_min <= lat <= lat_max):
return False
requested_types = subscription.get("type") or set()
if not requested_types:
return True
type_name = str(vessel.get("vessel_type_name") or "").lower()
return any(requested_type in type_name for requested_type in requested_types)
async def close_all(self):
for user_id in self.active_connections:
for connection in self.active_connections[user_id]:
await connection.close()
self.active_connections.clear()
self.channel_subscriptions.clear()
self.websocket_channels.clear()
self.vessel_subscriptions.clear()
manager = ConnectionManager()

View File

@@ -0,0 +1,328 @@
{
"_comment": "Seed payload for the bgp_collector_locations DB table. Coordinates were migrated from the legacy RIPE_RIS_COLLECTOR_COORDS table and default to city-center; seeded rows are unverified and should be upgraded in the database with source evidence when known.",
"locations": [
{
"canonical_name": "RIPE RIS rrc00",
"aliases": ["rrc00", "RIPE RIS rrc00", "AMS-IX"],
"operator": "RIPE NCC",
"site": "AMS-IX",
"city": "Amsterdam",
"country": "Netherlands",
"latitude": 52.3676,
"longitude": 4.9041,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc01",
"aliases": ["rrc01", "RIPE RIS rrc01", "LINX"],
"operator": "RIPE NCC",
"site": "LINX",
"city": "London",
"country": "United Kingdom",
"latitude": 51.5072,
"longitude": -0.1276,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc03",
"aliases": ["rrc03", "RIPE RIS rrc03", "AMS-IX"],
"operator": "RIPE NCC",
"site": "AMS-IX",
"city": "Amsterdam",
"country": "Netherlands",
"latitude": 52.3676,
"longitude": 4.9041,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc04",
"aliases": ["rrc04", "RIPE RIS rrc04", "CIXP", "CERN Internet Exchange Point"],
"operator": "RIPE NCC",
"site": "CIXP",
"city": "Geneva",
"country": "Switzerland",
"latitude": 46.2044,
"longitude": 6.1432,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc05",
"aliases": ["rrc05", "RIPE RIS rrc05", "VIX", "Vienna Internet Exchange"],
"operator": "RIPE NCC",
"site": "VIX",
"city": "Vienna",
"country": "Austria",
"latitude": 48.2082,
"longitude": 16.3738,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc06",
"aliases": ["rrc06", "RIPE RIS rrc06", "JPIX", "Otemachi"],
"operator": "RIPE NCC",
"site": "JPIX",
"city": "Otemachi",
"country": "Japan",
"latitude": 35.686,
"longitude": 139.7671,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc07",
"aliases": ["rrc07", "RIPE RIS rrc07", "Netnod", "Netnod Stockholm"],
"operator": "RIPE NCC",
"site": "Netnod Stockholm",
"city": "Stockholm",
"country": "Sweden",
"latitude": 59.3293,
"longitude": 18.0686,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc10",
"aliases": ["rrc10", "RIPE RIS rrc10", "MIX", "Milan Internet Exchange"],
"operator": "RIPE NCC",
"site": "MIX",
"city": "Milan",
"country": "Italy",
"latitude": 45.4642,
"longitude": 9.19,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc11",
"aliases": ["rrc11", "RIPE RIS rrc11", "NYIIX", "New York International Internet Exchange"],
"operator": "RIPE NCC",
"site": "NYIIX",
"city": "New York",
"country": "United States",
"latitude": 40.7128,
"longitude": -74.006,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc12",
"aliases": ["rrc12", "RIPE RIS rrc12", "DE-CIX", "DE-CIX Frankfurt"],
"operator": "RIPE NCC",
"site": "DE-CIX Frankfurt",
"city": "Frankfurt",
"country": "Germany",
"latitude": 50.1109,
"longitude": 8.6821,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc13",
"aliases": ["rrc13", "RIPE RIS rrc13", "MSK-IX"],
"operator": "RIPE NCC",
"site": "MSK-IX",
"city": "Moscow",
"country": "Russia",
"latitude": 55.7558,
"longitude": 37.6173,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc14",
"aliases": ["rrc14", "RIPE RIS rrc14", "PAIX", "Palo Alto Internet Exchange"],
"operator": "RIPE NCC",
"site": "PAIX",
"city": "Palo Alto",
"country": "United States",
"latitude": 37.4419,
"longitude": -122.143,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc15",
"aliases": ["rrc15", "RIPE RIS rrc15", "PTT.br Sao Paulo", "PTTMetro Sao Paulo"],
"operator": "RIPE NCC",
"site": "PTT.br",
"city": "Sao Paulo",
"country": "Brazil",
"latitude": -23.5558,
"longitude": -46.6396,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc16",
"aliases": ["rrc16", "RIPE RIS rrc16", "Equinix Miami", "NOTA Miami"],
"operator": "RIPE NCC",
"site": "Equinix Miami",
"city": "Miami",
"country": "United States",
"latitude": 25.7617,
"longitude": -80.1918,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc18",
"aliases": ["rrc18", "RIPE RIS rrc18", "CATNIX"],
"operator": "RIPE NCC",
"site": "CATNIX",
"city": "Barcelona",
"country": "Spain",
"latitude": 41.3874,
"longitude": 2.1686,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc19",
"aliases": ["rrc19", "RIPE RIS rrc19", "NAPAfrica", "JINX", "NAPAfrica Johannesburg"],
"operator": "RIPE NCC",
"site": "NAPAfrica Johannesburg",
"city": "Johannesburg",
"country": "South Africa",
"latitude": -26.2041,
"longitude": 28.0473,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc20",
"aliases": ["rrc20", "RIPE RIS rrc20", "SwissIX"],
"operator": "RIPE NCC",
"site": "SwissIX",
"city": "Zurich",
"country": "Switzerland",
"latitude": 47.3769,
"longitude": 8.5417,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc21",
"aliases": ["rrc21", "RIPE RIS rrc21", "France-IX Paris"],
"operator": "RIPE NCC",
"site": "France-IX Paris",
"city": "Paris",
"country": "France",
"latitude": 48.8566,
"longitude": 2.3522,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc22",
"aliases": ["rrc22", "RIPE RIS rrc22", "InterLAN Bucharest"],
"operator": "RIPE NCC",
"site": "InterLAN Bucharest",
"city": "Bucharest",
"country": "Romania",
"latitude": 44.4268,
"longitude": 26.1025,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc23",
"aliases": ["rrc23", "RIPE RIS rrc23", "Equinix Singapore"],
"operator": "RIPE NCC",
"site": "Equinix Singapore",
"city": "Singapore",
"country": "Singapore",
"latitude": 1.3521,
"longitude": 103.8198,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc24",
"aliases": ["rrc24", "RIPE RIS rrc24", "LACNIC Montevideo"],
"operator": "RIPE NCC",
"site": "LACNIC Montevideo",
"city": "Montevideo",
"country": "Uruguay",
"latitude": -34.9011,
"longitude": -56.1645,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc25",
"aliases": ["rrc25", "RIPE RIS rrc25", "AMS-IX"],
"operator": "RIPE NCC",
"site": "AMS-IX",
"city": "Amsterdam",
"country": "Netherlands",
"latitude": 52.3676,
"longitude": 4.9041,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
},
{
"canonical_name": "RIPE RIS rrc26",
"aliases": ["rrc26", "RIPE RIS rrc26", "UAE-IX"],
"operator": "RIPE NCC",
"site": "UAE-IX",
"city": "Dubai",
"country": "United Arab Emirates",
"latitude": 25.2048,
"longitude": 55.2708,
"precision": "city",
"confidence": 0.85,
"source_note": "Migrated from RIPE_RIS_COLLECTOR_COORDS legacy table",
"verified_at": null
}
],
"city_fallbacks": []
}

View File

@@ -1,6 +1,6 @@
from typing import AsyncGenerator
from sqlalchemy import text
from sqlalchemy import bindparam, text
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine, async_sessionmaker
from sqlalchemy.orm import declarative_base
@@ -72,25 +72,112 @@ async def seed_default_datasources(session: AsyncSession):
await session.commit()
LEGACY_EARTH_BOUNDARY_SOURCES = (
"earth_admin0_boundaries",
"earth_coastline",
"earth_claim_lines",
"earth_boundary_tiles",
)
LEGACY_EARTH_BOUNDARY_DATATYPES = (
"earth_boundary_source",
"earth_boundary_tiles",
)
LEGACY_EARTH_BOUNDARY_IDS = (29, 30, 31, 32)
async def purge_legacy_earth_boundary_datasources(session: AsyncSession) -> None:
source_names = tuple(LEGACY_EARTH_BOUNDARY_SOURCES)
source_ids = tuple(LEGACY_EARTH_BOUNDARY_IDS)
data_types = tuple(LEGACY_EARTH_BOUNDARY_DATATYPES)
await session.execute(
text(
"""
DELETE FROM datasource_mapping_templates
WHERE target_schema IN :data_types
OR datasource_config_id IN (
SELECT id FROM datasource_configs WHERE name IN :source_names
)
"""
).bindparams(bindparam("source_names", expanding=True), bindparam("data_types", expanding=True)),
{"source_names": list(source_names), "data_types": list(data_types)},
)
await session.execute(
text("DELETE FROM datasource_configs WHERE name IN :source_names").bindparams(
bindparam("source_names", expanding=True)
),
{"source_names": list(source_names)},
)
await session.execute(
text(
"""
DELETE FROM collected_data
WHERE source IN :source_names OR data_type IN :data_types
"""
).bindparams(bindparam("source_names", expanding=True), bindparam("data_types", expanding=True)),
{"source_names": list(source_names), "data_types": list(data_types)},
)
await session.execute(
text(
"""
DELETE FROM data_snapshots
WHERE source IN :source_names OR datasource_id IN :source_ids
"""
).bindparams(bindparam("source_names", expanding=True), bindparam("source_ids", expanding=True)),
{"source_names": list(source_names), "source_ids": list(source_ids)},
)
await session.execute(
text("DELETE FROM collection_tasks WHERE datasource_id IN :source_ids").bindparams(
bindparam("source_ids", expanding=True)
),
{"source_ids": list(source_ids)},
)
await session.execute(
text("DELETE FROM data_sources WHERE source IN :source_names OR id IN :source_ids").bindparams(
bindparam("source_names", expanding=True), bindparam("source_ids", expanding=True)
),
{"source_names": list(source_names), "source_ids": list(source_ids)},
)
await session.commit()
DEFAULT_LOGIN_USERS = (
{
"username": "admin",
"email": "admin@planet.local",
"password": "admin123",
"role": "super_admin",
},
{
"username": "linkong",
"email": "linkong@planet.local",
"password": "LK12345678",
"role": "super_admin",
},
)
async def ensure_default_admin_user(session: AsyncSession):
from app.core.security import get_password_hash
from app.models.user import User
result = await session.execute(
text("SELECT id FROM users WHERE username = 'admin'")
)
if result.fetchone():
return
session.add(
User(
username="admin",
email="admin@planet.local",
password_hash=get_password_hash("admin123"),
role="super_admin",
is_active=True,
for default_user in DEFAULT_LOGIN_USERS:
result = await session.execute(
text("SELECT id FROM users WHERE username = :username"),
{"username": default_user["username"]},
)
if result.fetchone():
continue
session.add(
User(
username=default_user["username"],
email=default_user["email"],
password_hash=get_password_hash(default_user["password"]),
role=default_user["role"],
is_active=True,
email_verified=True,
)
)
)
await session.commit()
@@ -103,13 +190,20 @@ async def init_db():
import app.models.datasource_config # noqa: F401
import app.models.alert # noqa: F401
import app.models.bgp_anomaly # noqa: F401
import app.models.bgp_collector_location # noqa: F401
import app.models.bgp_incident # noqa: F401
import app.models.bgp_observation # noqa: F401
import app.models.collected_data # noqa: F401
import app.models.compute_center_location # noqa: F401
import app.models.system_setting # noqa: F401
import app.models.playground_session # noqa: F401
import app.models.playground_message # noqa: F401
import app.models.system_log # noqa: F401
import app.models.vessel # noqa: F401
import app.models.vessel_enrichment # noqa: F401
import app.models.datasource_mapping # noqa: F401
import app.models.earth_news # noqa: F401
import app.models.earth_interactable # noqa: F401
logger.warning_event(
"Database pool settings active",
@@ -125,6 +219,31 @@ async def init_db():
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
users_email_verified_existed = (
await conn.execute(
text(
"""
SELECT 1
FROM information_schema.columns
WHERE table_name = 'users' AND column_name = 'email_verified'
"""
)
)
).fetchone() is not None
await conn.execute(
text(
"""
ALTER TABLE users
ADD COLUMN IF NOT EXISTS gatekeeper_groups JSONB DEFAULT '[]'::jsonb,
ADD COLUMN IF NOT EXISTS email_verified BOOLEAN NOT NULL DEFAULT FALSE,
ADD COLUMN IF NOT EXISTS pending_email VARCHAR(255)
"""
)
)
if not users_email_verified_existed:
await conn.execute(
text("UPDATE users SET email_verified = TRUE WHERE email_verified = FALSE")
)
await conn.execute(
text(
"""
@@ -140,11 +259,448 @@ async def init_db():
"""
)
)
await conn.execute(
text(
"""
CREATE TABLE IF NOT EXISTS earth_data_change_events (
id BIGSERIAL PRIMARY KEY,
table_name VARCHAR(128) NOT NULL,
operation VARCHAR(16) NOT NULL,
source VARCHAR(128),
entity_key VARCHAR(255),
payload JSONB NOT NULL,
occurred_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
consumed_at TIMESTAMPTZ
)
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_earth_data_change_events_unconsumed
ON earth_data_change_events (consumed_at, id)
WHERE consumed_at IS NULL
"""
)
)
await conn.execute(
text(
"""
CREATE OR REPLACE FUNCTION planet_emit_earth_data_changed_statement(
change_table TEXT,
change_operation TEXT,
change_source TEXT,
source_record_count INTEGER,
source_entity_keys TEXT[]
)
RETURNS VOID AS $$
DECLARE
change_event_id BIGINT;
change_payload JSONB;
BEGIN
change_payload := jsonb_build_object(
'event', 'earth.layer.changed',
'table', change_table,
'operation', change_operation,
'source', change_source,
'entity_key', NULL,
'entity_keys', COALESCE(to_jsonb(source_entity_keys), '[]'::jsonb),
'records_processed', COALESCE(source_record_count, 0),
'occurred_at', NOW()
);
INSERT INTO earth_data_change_events (
table_name,
operation,
source,
entity_key,
payload,
occurred_at
) VALUES (
change_table,
change_operation,
change_source,
NULL,
change_payload,
NOW()
)
RETURNING id INTO change_event_id;
change_payload := change_payload || jsonb_build_object(
'event_id', change_event_id
);
UPDATE earth_data_change_events
SET payload = change_payload
WHERE id = change_event_id;
PERFORM pg_notify(
'planet_earth_data_changes',
change_payload::text
);
END;
$$ LANGUAGE plpgsql;
"""
)
)
await conn.execute(
text(
"""
CREATE OR REPLACE FUNCTION planet_emit_collected_data_changed_statement(
change_operation TEXT,
change_source TEXT,
source_record_count INTEGER,
source_entity_keys TEXT[]
)
RETURNS VOID AS $$
BEGIN
PERFORM planet_emit_earth_data_changed_statement(
'collected_data',
change_operation,
change_source,
source_record_count,
source_entity_keys
);
END;
$$ LANGUAGE plpgsql;
"""
)
)
await conn.execute(
text(
"""
CREATE OR REPLACE FUNCTION planet_notify_earth_table_changed_statement()
RETURNS trigger AS $$
DECLARE
change_source TEXT;
source_record_count INTEGER;
source_entity_keys TEXT[];
BEGIN
IF TG_OP = 'INSERT' THEN
FOR change_source IN
SELECT DISTINCT COALESCE(NULLIF(row_data->>'source', ''), TG_TABLE_NAME)
FROM (SELECT to_jsonb(t) AS row_data FROM new_rows AS t) changed_rows
LOOP
SELECT
COUNT(*),
ARRAY(
SELECT DISTINCT COALESCE(
NULLIF(row_data->>'entity_key', ''),
NULLIF(row_data->>'source_id', ''),
NULLIF(row_data->>'incident_key', ''),
NULLIF(row_data->>'id', ''),
NULLIF(row_data->>'mmsi', '')
)
FROM (SELECT to_jsonb(t) AS row_data FROM new_rows AS t) rows_for_keys
WHERE COALESCE(NULLIF(row_data->>'source', ''), TG_TABLE_NAME) = change_source
LIMIT 20
)
INTO source_record_count, source_entity_keys
FROM (SELECT to_jsonb(t) AS row_data FROM new_rows AS t) rows_for_count
WHERE COALESCE(NULLIF(row_data->>'source', ''), TG_TABLE_NAME) = change_source;
PERFORM planet_emit_earth_data_changed_statement(
TG_TABLE_NAME,
TG_OP,
change_source,
source_record_count,
source_entity_keys
);
END LOOP;
ELSIF TG_OP = 'DELETE' THEN
FOR change_source IN
SELECT DISTINCT COALESCE(NULLIF(row_data->>'source', ''), TG_TABLE_NAME)
FROM (SELECT to_jsonb(t) AS row_data FROM old_rows AS t) changed_rows
LOOP
SELECT
COUNT(*),
ARRAY(
SELECT DISTINCT COALESCE(
NULLIF(row_data->>'entity_key', ''),
NULLIF(row_data->>'source_id', ''),
NULLIF(row_data->>'incident_key', ''),
NULLIF(row_data->>'id', ''),
NULLIF(row_data->>'mmsi', '')
)
FROM (SELECT to_jsonb(t) AS row_data FROM old_rows AS t) rows_for_keys
WHERE COALESCE(NULLIF(row_data->>'source', ''), TG_TABLE_NAME) = change_source
LIMIT 20
)
INTO source_record_count, source_entity_keys
FROM (SELECT to_jsonb(t) AS row_data FROM old_rows AS t) rows_for_count
WHERE COALESCE(NULLIF(row_data->>'source', ''), TG_TABLE_NAME) = change_source;
PERFORM planet_emit_earth_data_changed_statement(
TG_TABLE_NAME,
TG_OP,
change_source,
source_record_count,
source_entity_keys
);
END LOOP;
ELSIF TG_OP = 'UPDATE' THEN
FOR change_source IN
SELECT DISTINCT COALESCE(NULLIF(row_data->>'source', ''), TG_TABLE_NAME)
FROM (
SELECT to_jsonb(t) AS row_data FROM new_rows AS t
UNION ALL
SELECT to_jsonb(t) AS row_data FROM old_rows AS t
) changed_rows
LOOP
SELECT
COUNT(*),
ARRAY(
SELECT DISTINCT COALESCE(
NULLIF(row_data->>'entity_key', ''),
NULLIF(row_data->>'source_id', ''),
NULLIF(row_data->>'incident_key', ''),
NULLIF(row_data->>'id', ''),
NULLIF(row_data->>'mmsi', '')
)
FROM (
SELECT to_jsonb(t) AS row_data FROM new_rows AS t
UNION ALL
SELECT to_jsonb(t) AS row_data FROM old_rows AS t
) rows_for_keys
WHERE COALESCE(NULLIF(row_data->>'source', ''), TG_TABLE_NAME) = change_source
LIMIT 20
)
INTO source_record_count, source_entity_keys
FROM (
SELECT to_jsonb(t) AS row_data FROM new_rows AS t
UNION ALL
SELECT to_jsonb(t) AS row_data FROM old_rows AS t
) rows_for_count
WHERE COALESCE(NULLIF(row_data->>'source', ''), TG_TABLE_NAME) = change_source;
PERFORM planet_emit_earth_data_changed_statement(
TG_TABLE_NAME,
TG_OP,
change_source,
source_record_count,
source_entity_keys
);
END LOOP;
END IF;
RETURN NULL;
END;
$$ LANGUAGE plpgsql;
"""
)
)
await conn.execute(
text(
"""
CREATE OR REPLACE FUNCTION planet_notify_collected_data_changed_statement()
RETURNS trigger AS $$
DECLARE
change_source TEXT;
source_record_count INTEGER;
source_entity_keys TEXT[];
BEGIN
IF TG_OP = 'INSERT' THEN
FOR change_source IN
SELECT DISTINCT source FROM new_rows WHERE source IS NOT NULL
LOOP
SELECT
COUNT(*),
ARRAY(
SELECT DISTINCT COALESCE(entity_key, source_id, id::text)
FROM new_rows
WHERE source = change_source
LIMIT 20
)
INTO source_record_count, source_entity_keys
FROM new_rows
WHERE source = change_source;
PERFORM planet_emit_collected_data_changed_statement(
TG_OP,
change_source,
source_record_count,
source_entity_keys
);
END LOOP;
ELSIF TG_OP = 'DELETE' THEN
FOR change_source IN
SELECT DISTINCT source FROM old_rows WHERE source IS NOT NULL
LOOP
SELECT
COUNT(*),
ARRAY(
SELECT DISTINCT COALESCE(entity_key, source_id, id::text)
FROM old_rows
WHERE source = change_source
LIMIT 20
)
INTO source_record_count, source_entity_keys
FROM old_rows
WHERE source = change_source;
PERFORM planet_emit_collected_data_changed_statement(
TG_OP,
change_source,
source_record_count,
source_entity_keys
);
END LOOP;
ELSIF TG_OP = 'UPDATE' THEN
FOR change_source IN
SELECT DISTINCT source FROM (
SELECT source FROM new_rows
UNION
SELECT source FROM old_rows
) changed_sources
WHERE source IS NOT NULL
LOOP
SELECT
COUNT(*),
ARRAY(
SELECT DISTINCT COALESCE(entity_key, source_id, id::text)
FROM (
SELECT id, source_id, entity_key, source FROM new_rows
UNION ALL
SELECT id, source_id, entity_key, source FROM old_rows
) changed_rows
WHERE source = change_source
LIMIT 20
)
INTO source_record_count, source_entity_keys
FROM (
SELECT id, source_id, entity_key, source FROM new_rows
UNION ALL
SELECT id, source_id, entity_key, source FROM old_rows
) changed_rows
WHERE source = change_source;
PERFORM planet_emit_collected_data_changed_statement(
TG_OP,
change_source,
source_record_count,
source_entity_keys
);
END LOOP;
END IF;
RETURN NULL;
END;
$$ LANGUAGE plpgsql;
"""
)
)
for statement in (
"DROP TRIGGER IF EXISTS tr_planet_collected_data_changed ON collected_data",
"DROP TRIGGER IF EXISTS tr_planet_collected_data_changed_insert ON collected_data",
"DROP TRIGGER IF EXISTS tr_planet_collected_data_changed_update ON collected_data",
"DROP TRIGGER IF EXISTS tr_planet_collected_data_changed_delete ON collected_data",
"DROP FUNCTION IF EXISTS planet_notify_collected_data_changed()",
"""
CREATE TRIGGER tr_planet_collected_data_changed_insert
AFTER INSERT ON collected_data
REFERENCING NEW TABLE AS new_rows
FOR EACH STATEMENT
EXECUTE FUNCTION planet_notify_collected_data_changed_statement()
""",
"""
CREATE TRIGGER tr_planet_collected_data_changed_update
AFTER UPDATE ON collected_data
REFERENCING OLD TABLE AS old_rows NEW TABLE AS new_rows
FOR EACH STATEMENT
EXECUTE FUNCTION planet_notify_collected_data_changed_statement()
""",
"""
CREATE TRIGGER tr_planet_collected_data_changed_delete
AFTER DELETE ON collected_data
REFERENCING OLD TABLE AS old_rows
FOR EACH STATEMENT
EXECUTE FUNCTION planet_notify_collected_data_changed_statement()
""",
):
await conn.execute(text(statement))
for table_name in (
"bgp_observations",
"bgp_anomalies",
"bgp_incidents",
"bgp_collector_locations",
"vessel_static",
"vessel_position",
"ais_raw_observations",
"ais_source_health",
"compute_center_locations",
"earth_interactables",
"earth_news_items",
):
for statement in (
f"DROP TRIGGER IF EXISTS tr_planet_{table_name}_changed_insert ON {table_name}",
f"DROP TRIGGER IF EXISTS tr_planet_{table_name}_changed_update ON {table_name}",
f"DROP TRIGGER IF EXISTS tr_planet_{table_name}_changed_delete ON {table_name}",
f"""
CREATE TRIGGER tr_planet_{table_name}_changed_insert
AFTER INSERT ON {table_name}
REFERENCING NEW TABLE AS new_rows
FOR EACH STATEMENT
EXECUTE FUNCTION planet_notify_earth_table_changed_statement()
""",
f"""
CREATE TRIGGER tr_planet_{table_name}_changed_update
AFTER UPDATE ON {table_name}
REFERENCING OLD TABLE AS old_rows NEW TABLE AS new_rows
FOR EACH STATEMENT
EXECUTE FUNCTION planet_notify_earth_table_changed_statement()
""",
f"""
CREATE TRIGGER tr_planet_{table_name}_changed_delete
AFTER DELETE ON {table_name}
REFERENCING OLD TABLE AS old_rows
FOR EACH STATEMENT
EXECUTE FUNCTION planet_notify_earth_table_changed_statement()
""",
):
await conn.execute(text(statement))
await conn.execute(
text(
"""
ALTER TABLE collection_tasks
ADD COLUMN IF NOT EXISTS phase VARCHAR(30) DEFAULT 'queued'
ADD COLUMN IF NOT EXISTS phase VARCHAR(30) DEFAULT 'queued',
ADD COLUMN IF NOT EXISTS phase_progress DOUBLE PRECISION,
ADD COLUMN IF NOT EXISTS phase_message VARCHAR(255),
ADD COLUMN IF NOT EXISTS phase_current BIGINT,
ADD COLUMN IF NOT EXISTS phase_total BIGINT,
ADD COLUMN IF NOT EXISTS phase_unit VARCHAR(30),
ADD COLUMN IF NOT EXISTS source VARCHAR(100),
ADD COLUMN IF NOT EXISTS task_type VARCHAR(30) NOT NULL DEFAULT 'collect',
ADD COLUMN IF NOT EXISTS payload JSONB NOT NULL DEFAULT '{}'::jsonb,
ADD COLUMN IF NOT EXISTS rollback_policy VARCHAR(40) NOT NULL DEFAULT 'keep_committed_batches',
ADD COLUMN IF NOT EXISTS dedupe_key VARCHAR(180),
ADD COLUMN IF NOT EXISTS worker_id VARCHAR(120),
ADD COLUMN IF NOT EXISTS locked_at TIMESTAMPTZ,
ADD COLUMN IF NOT EXISTS requested_cancel_at TIMESTAMPTZ,
ADD COLUMN IF NOT EXISTS cancel_reason TEXT
"""
)
)
await conn.execute(
text(
"""
ALTER TABLE earth_news_items
ADD COLUMN IF NOT EXISTS content_language VARCHAR(32) NOT NULL DEFAULT 'en',
ADD COLUMN IF NOT EXISTS localizations JSONB NOT NULL DEFAULT '{}'::jsonb,
ADD COLUMN IF NOT EXISTS enrichment_status VARCHAR(80) NOT NULL DEFAULT 'pending',
ADD COLUMN IF NOT EXISTS enrichment_error TEXT,
ADD COLUMN IF NOT EXISTS enriched_at TIMESTAMPTZ
"""
)
)
await conn.execute(
text(
"""
ALTER TABLE earth_interactables
ADD COLUMN IF NOT EXISTS altitude DOUBLE PRECISION,
ADD COLUMN IF NOT EXISTS revision INTEGER NOT NULL DEFAULT 1,
ADD COLUMN IF NOT EXISTS is_deleted BOOLEAN NOT NULL DEFAULT FALSE,
ADD COLUMN IF NOT EXISTS deleted_at TIMESTAMPTZ
"""
)
)
@@ -156,6 +712,108 @@ async def init_db():
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_earth_news_enrichment_status
ON earth_news_items (enrichment_status)
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_earth_news_enriched_at
ON earth_news_items (enriched_at)
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_earth_interactables_layer_deleted
ON earth_interactables (layer, is_deleted)
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_earth_interactables_updated_at
ON earth_interactables (updated_at)
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_collection_tasks_source_status
ON collection_tasks (source, status)
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_collection_tasks_queue
ON collection_tasks (status, created_at, id)
WHERE status = 'queued'
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_collection_tasks_dedupe
ON collection_tasks (dedupe_key)
WHERE dedupe_key IS NOT NULL
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_collected_data_source_current_id
ON collected_data (source, is_current, id)
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_collected_data_source_task_id
ON collected_data (source, task_id, id)
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_ais_raw_schema_observed_entity
ON ais_raw_observations (target_schema, observed_at, entity_key)
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_ais_raw_schema_observed_desc
ON ais_raw_observations (target_schema, observed_at DESC)
"""
)
)
await conn.execute(
text(
"""
CREATE INDEX IF NOT EXISTS idx_ais_raw_payload_lon_lat
ON ais_raw_observations (
((normalized_payload->>'lon')::double precision),
((normalized_payload->>'lat')::double precision)
)
WHERE target_schema = 'vessel_ais'
"""
)
)
await conn.execute(
text(
"""
@@ -176,5 +834,15 @@ async def init_db():
)
async with async_session_factory() as session:
from app.services.bgp_collector_locations import (
seed_default_bgp_collector_locations,
)
from app.services.compute_center_locations import (
seed_compute_center_locations_from_source_coords,
)
await seed_default_bgp_collector_locations(session)
await seed_compute_center_locations_from_source_coords(session)
await seed_default_datasources(session)
await purge_legacy_earth_boundary_datasources(session)
await ensure_default_admin_user(session)

View File

@@ -1,8 +1,10 @@
from contextlib import asynccontextmanager
from pathlib import Path
from uuid import uuid4
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from starlette.middleware.base import BaseHTTPMiddleware
from app.api.main import api_router
@@ -18,6 +20,15 @@ from app.services.scheduler import (
stop_scheduler,
sync_scheduler_with_datasources,
)
from app.services.earth_news_worker import (
start_earth_news_target_worker,
stop_earth_news_target_worker,
)
from app.services.earth_db_change_listener import (
start_earth_db_change_listener,
stop_earth_db_change_listener,
)
from app.services.data_jobs import start_data_job_worker, stop_data_job_worker
configure_logging()
@@ -53,7 +64,13 @@ async def lifespan(app: FastAPI):
start_scheduler()
await sync_scheduler_with_datasources()
broadcaster.start()
start_data_job_worker()
start_earth_db_change_listener()
start_earth_news_target_worker()
yield
await stop_earth_news_target_worker()
await stop_earth_db_change_listener()
await stop_data_job_worker()
broadcaster.stop()
stop_scheduler()
@@ -82,6 +99,14 @@ app.add_middleware(WebSocketCORSMiddleware)
app.include_router(api_router, prefix="/api/v1")
app.include_router(websocket.router)
EARTH_BRAND_ASSET_DIR = Path(__file__).resolve().parents[2] / "data" / "earth-brand"
EARTH_BRAND_ASSET_DIR.mkdir(parents=True, exist_ok=True)
app.mount(
"/earth-brand-assets",
StaticFiles(directory=str(EARTH_BRAND_ASSET_DIR)),
name="earth-brand-assets",
)
@app.get("/health")
async def health_check():

View File

@@ -6,12 +6,18 @@ from app.models.datasource import DataSource
from app.models.datasource_config import DataSourceConfig
from app.models.alert import Alert, AlertSeverity, AlertStatus
from app.models.bgp_anomaly import BGPAnomaly
from app.models.bgp_collector_location import BGPCollectorLocation
from app.models.bgp_incident import BGPIncident
from app.models.bgp_observation import BGPObservation
from app.models.compute_center_location import ComputeCenterLocationRecord
from app.models.system_setting import SystemSetting
from app.models.playground_session import PlaygroundSession
from app.models.playground_message import PlaygroundMessage
from app.models.system_log import SystemLog, AuditLog
from app.models.vessel import AISConflictRecord, AISRawObservation, AISSourceHealth, VesselPosition, VesselStatic
from app.models.datasource_mapping import DataSourceMappingTemplate
from app.models.earth_news import EarthNewsItem
from app.models.earth_interactable import EarthInteractable
__all__ = [
"User",
@@ -25,8 +31,20 @@ __all__ = [
"AlertSeverity",
"AlertStatus",
"BGPAnomaly",
"BGPCollectorLocation",
"BGPIncident",
"BGPObservation",
"ComputeCenterLocationRecord",
"SystemLog",
"AuditLog",
"PlaygroundSession",
"PlaygroundMessage",
"VesselPosition",
"VesselStatic",
"AISRawObservation",
"AISConflictRecord",
"AISSourceHealth",
"DataSourceMappingTemplate",
"EarthNewsItem",
"EarthInteractable",
]

View File

@@ -0,0 +1,52 @@
"""Stored BGP route-collector locations."""
from sqlalchemy import Boolean, Column, DateTime, Float, Integer, JSON, String, Text
from sqlalchemy.sql import func
from app.core.time import to_iso8601_utc
from app.db.session import Base
class BGPCollectorLocation(Base):
"""Current known location for a BGP route collector."""
__tablename__ = "bgp_collector_locations"
id = Column(Integer, primary_key=True, autoincrement=True)
collector_id = Column(String(100), nullable=False, unique=True, index=True)
operator = Column(String(255), nullable=True)
site = Column(String(255), nullable=True)
city = Column(String(255), nullable=True)
country = Column(String(255), nullable=True)
latitude = Column(Float, nullable=True)
longitude = Column(Float, nullable=True)
precision = Column(String(30), nullable=False, default="city")
confidence = Column(Float, nullable=True)
source = Column(String(80), nullable=False, default="legacy_seed", index=True)
source_url = Column(String(500), nullable=True)
source_note = Column(Text, nullable=True)
raw_payload = Column(JSON, nullable=False, default=dict)
needs_confirmation = Column(Boolean, nullable=False, default=True, index=True)
verification_status = Column(String(30), nullable=False, default="unverified", index=True)
verified_at = Column(DateTime(timezone=True), nullable=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
def to_location_dict(self) -> dict:
return {
"city": self.city,
"country": self.country,
"latitude": self.latitude,
"longitude": self.longitude,
"precision": self.precision,
"source": self.source,
"needs_confirmation": self.needs_confirmation,
"matched_location_name": self.site or self.collector_id,
"verified_at": to_iso8601_utc(self.verified_at),
"confidence": self.confidence,
"operator": self.operator,
"site": self.site,
"verification_status": self.verification_status,
"source_note": self.source_note,
"source_url": self.source_url,
}

View File

@@ -48,6 +48,8 @@ class CollectedData(Base):
# Indexes for common queries
__table_args__ = (
Index("idx_collected_data_source_collected", "source", "collected_at"),
Index("idx_collected_data_source_current_id", "source", "is_current", "id"),
Index("idx_collected_data_source_task_id", "source", "task_id", "id"),
Index("idx_collected_data_source_type", "source", "data_type"),
Index("idx_collected_data_source_source_id", "source", "source_id"),
)

View File

@@ -0,0 +1,60 @@
"""Stored compute-center locations."""
from sqlalchemy import Boolean, Column, DateTime, Float, Integer, JSON, String, Text, UniqueConstraint
from sqlalchemy.sql import func
from app.core.time import to_iso8601_utc
from app.db.session import Base
class ComputeCenterLocationRecord(Base):
"""Current known location for a compute-center record."""
__tablename__ = "compute_center_locations"
__table_args__ = (
UniqueConstraint("source", "source_id", name="uq_compute_center_location_source_id"),
)
id = Column(Integer, primary_key=True, autoincrement=True)
source = Column(String(100), nullable=False, index=True)
source_id = Column(String(255), nullable=False, index=True)
name = Column(String(500), nullable=True)
operator = Column(String(255), nullable=True)
site = Column(String(255), nullable=True)
city = Column(String(255), nullable=True)
country = Column(String(255), nullable=True)
latitude = Column(Float, nullable=True)
longitude = Column(Float, nullable=True)
precision = Column(String(30), nullable=False, default="city")
confidence = Column(Float, nullable=True)
location_source = Column(String(80), nullable=False, default="stored_compute_center_location", index=True)
source_url = Column(String(500), nullable=True)
source_note = Column(Text, nullable=True)
raw_payload = Column(JSON, nullable=False, default=dict)
needs_confirmation = Column(Boolean, nullable=False, default=False, index=True)
verification_status = Column(String(30), nullable=False, default="verified", index=True)
verified_at = Column(DateTime(timezone=True), nullable=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
def to_location_dict(self) -> dict:
return {
"source": self.source,
"source_id": self.source_id,
"name": self.name,
"operator": self.operator,
"site": self.site,
"city": self.city,
"country": self.country,
"latitude": self.latitude,
"longitude": self.longitude,
"precision": self.precision,
"confidence": self.confidence,
"location_source": self.location_source,
"source_url": self.source_url,
"source_note": self.source_note,
"raw_payload": self.raw_payload or {},
"needs_confirmation": self.needs_confirmation,
"verification_status": self.verification_status,
"verified_at": to_iso8601_utc(self.verified_at),
}

View File

@@ -0,0 +1,32 @@
"""Mapping templates for user-defined data source payloads."""
from sqlalchemy import Boolean, Column, DateTime, ForeignKey, Integer, JSON, String
from sqlalchemy.sql import func
from app.db.session import Base
class DataSourceMappingTemplate(Base):
__tablename__ = "datasource_mapping_templates"
id = Column(Integer, primary_key=True, autoincrement=True)
datasource_config_id = Column(
Integer,
ForeignKey("datasource_configs.id"),
nullable=False,
index=True,
)
target_schema = Column(String(80), nullable=False, index=True)
mapping_json = Column(JSON, nullable=False, default={})
sample_payload_hash = Column(String(64), nullable=True)
validation_status = Column(String(30), nullable=False, default="draft")
version = Column(Integer, nullable=False, default=1)
is_active = Column(Boolean, nullable=False, default=False, index=True)
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
def __repr__(self):
return (
f"<DataSourceMappingTemplate {self.id}: "
f"{self.datasource_config_id}/{self.target_schema}/v{self.version}>"
)

View File

@@ -0,0 +1,30 @@
"""Persistent Earth interactable objects."""
from sqlalchemy import Boolean, Column, DateTime, Float, Index, Integer, JSON, String, Text
from sqlalchemy.sql import func
from app.db.session import Base
class EarthInteractable(Base):
__tablename__ = "earth_interactables"
id = Column(String(160), primary_key=True)
layer = Column(String(80), nullable=False, default="interactables", index=True)
kind = Column(String(80), nullable=False, default="default", index=True)
label = Column(String(255), nullable=False, default="")
description = Column(Text, nullable=False, default="")
latitude = Column(Float, nullable=False)
longitude = Column(Float, nullable=False)
altitude = Column(Float, nullable=True)
revision = Column(Integer, nullable=False, default=1)
properties = Column(JSON, nullable=False, default=dict)
is_deleted = Column(Boolean, nullable=False, default=False, index=True)
created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
deleted_at = Column(DateTime(timezone=True), nullable=True, index=True)
__table_args__ = (
Index("idx_earth_interactables_layer_deleted", "layer", "is_deleted"),
Index("idx_earth_interactables_updated_at", "updated_at"),
)

View File

@@ -0,0 +1,40 @@
from sqlalchemy import Boolean, Column, DateTime, Float, Index, JSON, String, Text
from sqlalchemy.sql import func
from app.db.session import Base
class EarthNewsItem(Base):
__tablename__ = "earth_news_items"
id = Column(String(160), primary_key=True)
title = Column(String(500), nullable=False)
summary = Column(Text, nullable=False, default="")
content_language = Column(String(32), nullable=False, default="en")
localizations = Column(JSON, nullable=False, default=dict)
url = Column(Text, nullable=False)
source = Column(String(255), nullable=False, default="")
feed_name = Column(String(255), nullable=False, default="")
region = Column(String(80), nullable=False, index=True)
homepage_url = Column(Text, nullable=False, default="")
published_at = Column(DateTime(timezone=True), nullable=True, index=True)
latitude = Column(Float, nullable=False)
longitude = Column(Float, nullable=False)
location_label = Column(String(255), nullable=False)
location_source = Column(String(80), nullable=False, default="region_anchor")
verified = Column(Boolean, nullable=False, default=False, index=True)
location_meta = Column(JSON, nullable=False, default=dict)
first_seen_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
last_seen_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False, index=True)
resolved_at = Column(DateTime(timezone=True), nullable=True, index=True)
enrichment_status = Column(String(80), nullable=False, default="pending", index=True)
enrichment_error = Column(Text, nullable=True)
enriched_at = Column(DateTime(timezone=True), nullable=True, index=True)
updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
__table_args__ = (
Index("idx_earth_news_region_published", "region", "published_at"),
Index("idx_earth_news_region_seen", "region", "last_seen_at"),
)

View File

@@ -1,6 +1,6 @@
"""Collection Task model"""
"""Datasource job model."""
from sqlalchemy import Column, DateTime, Integer, String, Text, Float
from sqlalchemy import BigInteger, Column, DateTime, Float, Integer, JSON, String, Text
from sqlalchemy.sql import func
from app.db.session import Base
@@ -11,14 +11,28 @@ class CollectionTask(Base):
id = Column(Integer, primary_key=True, autoincrement=True)
datasource_id = Column(Integer, nullable=False, index=True)
status = Column(String(20), nullable=False) # pending, running, success, failed, cancelled
source = Column(String(100), nullable=True, index=True)
task_type = Column(String(30), nullable=False, default="collect", index=True)
status = Column(String(20), nullable=False) # queued, running, cancelling, success, failed, cancelled
phase = Column(String(30), default="queued")
phase_progress = Column(Float)
phase_message = Column(String(255))
phase_current = Column(BigInteger)
phase_total = Column(BigInteger)
phase_unit = Column(String(30))
started_at = Column(DateTime(timezone=True))
completed_at = Column(DateTime(timezone=True))
records_processed = Column(Integer, default=0)
total_records = Column(Integer, default=0) # Total records to process
progress = Column(Float, default=0.0) # Progress percentage (0-100)
error_message = Column(Text)
payload = Column(JSON, default=dict)
rollback_policy = Column(String(40), nullable=False, default="keep_committed_batches")
dedupe_key = Column(String(180), nullable=True, index=True)
worker_id = Column(String(120), nullable=True, index=True)
locked_at = Column(DateTime(timezone=True), nullable=True, index=True)
requested_cancel_at = Column(DateTime(timezone=True), nullable=True)
cancel_reason = Column(Text)
created_at = Column(DateTime(timezone=True), server_default=func.now())
def __repr__(self):

View File

@@ -1,4 +1,4 @@
from sqlalchemy import Boolean, Column, Integer, String, DateTime
from sqlalchemy import Boolean, Column, DateTime, Integer, JSON, String
from sqlalchemy.sql import func
from app.db.session import Base
@@ -12,7 +12,10 @@ class User(Base):
email = Column(String(255), unique=True, index=True, nullable=False)
password_hash = Column(String(255), nullable=False)
role = Column(String(20), default="viewer")
gatekeeper_groups = Column(JSON, default=list)
is_active = Column(Boolean, default=True)
email_verified = Column(Boolean, default=False, nullable=False)
pending_email = Column(String(255), nullable=True)
last_login_at = Column(DateTime(timezone=True))
created_at = Column(DateTime(timezone=True), server_default=func.now())
updated_at = Column(

View File

@@ -0,0 +1,186 @@
"""Vessel AIS models for live maritime tracking."""
from sqlalchemy import BigInteger, Column, DateTime, Float, Index, Integer, JSON, SmallInteger, String
from sqlalchemy.sql import func
from app.core.time import to_iso8601_utc
from app.db.session import Base
class VesselStatic(Base):
"""Slow-changing vessel identity and dimensions."""
__tablename__ = "vessel_static"
mmsi = Column(BigInteger, primary_key=True)
name = Column(String(128), nullable=True)
callsign = Column(String(16), nullable=True)
vessel_type = Column(SmallInteger, nullable=True, index=True)
vessel_type_name = Column(String(64), nullable=True, index=True)
flag = Column(String(4), nullable=True, index=True)
length = Column(Float, nullable=True)
width = Column(Float, nullable=True)
draught = Column(Float, nullable=True)
imo = Column(BigInteger, nullable=True)
updated_at = Column(DateTime(timezone=True), nullable=False, server_default=func.now())
def to_dict(self) -> dict:
return {
"mmsi": self.mmsi,
"name": self.name,
"callsign": self.callsign,
"vessel_type": self.vessel_type,
"vessel_type_name": self.vessel_type_name,
"flag": self.flag,
"length": self.length,
"width": self.width,
"draught": self.draught,
"imo": self.imo,
"updated_at": to_iso8601_utc(self.updated_at),
}
class VesselPosition(Base):
"""Append-only AIS positions retained for short history windows."""
__tablename__ = "vessel_position"
id = Column(Integer, primary_key=True, autoincrement=True)
mmsi = Column(BigInteger, nullable=False, index=True)
lat = Column(Float, nullable=False)
lon = Column(Float, nullable=False)
sog = Column(Float, nullable=True)
cog = Column(Float, nullable=True)
heading = Column(SmallInteger, nullable=True)
nav_status = Column(SmallInteger, nullable=True, index=True)
received_at = Column(DateTime(timezone=True), nullable=False, server_default=func.now(), index=True)
__table_args__ = (
Index("idx_vessel_pos_mmsi_time", "mmsi", "received_at"),
Index("idx_vessel_pos_time", "received_at"),
Index("idx_vessel_pos_lat_lon", "lat", "lon"),
)
def to_dict(self) -> dict:
return {
"id": self.id,
"mmsi": self.mmsi,
"lat": self.lat,
"lon": self.lon,
"sog": self.sog,
"cog": self.cog,
"heading": self.heading,
"nav_status": self.nav_status,
"received_at": to_iso8601_utc(self.received_at),
}
class AISRawObservation(Base):
"""Source-level AIS fact before aggregation and conflict resolution."""
__tablename__ = "ais_raw_observations"
id = Column(Integer, primary_key=True, autoincrement=True)
target_schema = Column(String(64), nullable=False, default="vessel_ais", index=True)
source = Column(String(100), nullable=False, index=True)
entity_key = Column(String(64), nullable=False, index=True)
delivery_mode = Column(String(32), nullable=False, index=True)
transport = Column(String(32), nullable=False, index=True)
message_type = Column(String(64), nullable=True, index=True)
source_message_id = Column(String(128), nullable=True, index=True)
observation_hash = Column(String(64), nullable=False, unique=True, index=True)
observed_at = Column(DateTime(timezone=True), nullable=False, index=True)
collected_at = Column(DateTime(timezone=True), nullable=False, server_default=func.now(), index=True)
normalized_payload = Column(JSON, default=dict)
raw_payload = Column(JSON, default=dict)
quality_flags = Column(JSON, default=list)
__table_args__ = (
Index("idx_ais_raw_entity_observed", "target_schema", "entity_key", "observed_at"),
Index("idx_ais_raw_schema_observed_entity", "target_schema", "observed_at", "entity_key"),
Index("idx_ais_raw_source_entity", "source", "entity_key"),
)
def to_dict(self) -> dict:
return {
"id": self.id,
"target_schema": self.target_schema,
"source": self.source,
"entity_key": self.entity_key,
"delivery_mode": self.delivery_mode,
"transport": self.transport,
"message_type": self.message_type,
"source_message_id": self.source_message_id,
"observation_hash": self.observation_hash,
"observed_at": to_iso8601_utc(self.observed_at),
"collected_at": to_iso8601_utc(self.collected_at),
"normalized_payload": self.normalized_payload or {},
"raw_payload": self.raw_payload or {},
"quality_flags": self.quality_flags or [],
}
class AISConflictRecord(Base):
"""Recorded field-level disagreement between AIS sources."""
__tablename__ = "ais_conflict_records"
id = Column(Integer, primary_key=True, autoincrement=True)
target_schema = Column(String(64), nullable=False, default="vessel_ais", index=True)
entity_key = Column(String(64), nullable=False, index=True)
field = Column(String(64), nullable=False, index=True)
candidates = Column(JSON, default=dict)
selected_source = Column(String(100), nullable=True, index=True)
selected_value = Column(JSON, nullable=True)
selected_reason = Column(String(64), nullable=True, index=True)
resolved_by = Column(String(32), nullable=False, default="system", index=True)
status = Column(String(32), nullable=False, default="open", index=True)
created_at = Column(DateTime(timezone=True), nullable=False, server_default=func.now(), index=True)
updated_at = Column(DateTime(timezone=True), nullable=False, server_default=func.now())
__table_args__ = (
Index("idx_ais_conflict_entity_field", "target_schema", "entity_key", "field"),
)
def to_dict(self) -> dict:
return {
"id": self.id,
"target_schema": self.target_schema,
"entity_key": self.entity_key,
"field": self.field,
"candidates": self.candidates or {},
"selected_source": self.selected_source,
"selected_value": self.selected_value,
"selected_reason": self.selected_reason,
"resolved_by": self.resolved_by,
"status": self.status,
"created_at": to_iso8601_utc(self.created_at),
"updated_at": to_iso8601_utc(self.updated_at),
}
class AISSourceHealth(Base):
"""Runtime health signal for an AIS collector source."""
__tablename__ = "ais_source_health"
source = Column(String(100), primary_key=True)
connection_state = Column(String(32), nullable=False, default="disconnected", index=True)
last_seen_at = Column(DateTime(timezone=True), nullable=True, index=True)
last_success_at = Column(DateTime(timezone=True), nullable=True, index=True)
last_error = Column(String(500), nullable=True)
message_rate = Column(Float, nullable=True)
lag_seconds = Column(Float, nullable=True)
updated_at = Column(DateTime(timezone=True), nullable=False, server_default=func.now(), index=True)
def to_dict(self) -> dict:
return {
"source": self.source,
"connection_state": self.connection_state,
"last_seen_at": to_iso8601_utc(self.last_seen_at),
"last_success_at": to_iso8601_utc(self.last_success_at),
"last_error": self.last_error,
"message_rate": self.message_rate,
"lag_seconds": self.lag_seconds,
"updated_at": to_iso8601_utc(self.updated_at),
}

View File

@@ -0,0 +1,63 @@
"""Vessel enrichment cache tables (v5).
Profile and media enrichment are stored separately so cache TTLs can differ
and so the conflict-resolution + display layers can read either independently.
"""
from sqlalchemy import BigInteger, Column, DateTime, Float, JSON, String
from sqlalchemy.sql import func
from app.core.time import to_iso8601_utc
from app.db.session import Base
class VesselProfileEnrichment(Base):
"""Cached static vessel profile (type, flag, dimensions, operator, etc.)."""
__tablename__ = "vessel_profile_enrichment"
mmsi = Column(BigInteger, primary_key=True)
source = Column(String(100), nullable=False, default="system")
payload = Column(JSON, nullable=False, default=dict)
fetched_at = Column(DateTime(timezone=True), nullable=False, server_default=func.now())
expires_at = Column(DateTime(timezone=True), nullable=True)
confidence = Column(Float, nullable=True)
reference_url = Column(String(500), nullable=True)
updated_at = Column(DateTime(timezone=True), nullable=False, server_default=func.now(), onupdate=func.now())
def to_dict(self) -> dict:
return {
"mmsi": self.mmsi,
"source": self.source,
"payload": self.payload or {},
"fetched_at": to_iso8601_utc(self.fetched_at),
"expires_at": to_iso8601_utc(self.expires_at),
"confidence": self.confidence,
"reference_url": self.reference_url,
}
class VesselMediaEnrichment(Base):
"""Cached vessel imagery / external detail references."""
__tablename__ = "vessel_media_enrichment"
mmsi = Column(BigInteger, primary_key=True)
source = Column(String(100), nullable=False, default="system")
payload = Column(JSON, nullable=False, default=dict)
fetched_at = Column(DateTime(timezone=True), nullable=False, server_default=func.now())
expires_at = Column(DateTime(timezone=True), nullable=True)
confidence = Column(Float, nullable=True)
reference_url = Column(String(500), nullable=True)
updated_at = Column(DateTime(timezone=True), nullable=False, server_default=func.now(), onupdate=func.now())
def to_dict(self) -> dict:
return {
"mmsi": self.mmsi,
"source": self.source,
"payload": self.payload or {},
"fetched_at": to_iso8601_utc(self.fetched_at),
"expires_at": to_iso8601_utc(self.expires_at),
"confidence": self.confidence,
"reference_url": self.reference_url,
}

View File

@@ -13,10 +13,11 @@ class AIContentBlock(BaseModel):
class SituationalAnalysisRequest(BaseModel):
title: str = Field(..., min_length=1, max_length=200)
objective: str = Field(..., min_length=1, max_length=1000)
objective: str = Field(..., min_length=1, max_length=20000)
context: dict[str, Any] = Field(default_factory=dict)
observations: list[str] = Field(default_factory=list)
constraints: list[str] = Field(default_factory=list)
system_prompt: str | None = Field(default=None, max_length=8000)
preferred_model: str | None = Field(default=None, max_length=200)
thinking: dict[str, Any] | None = None

View File

@@ -12,17 +12,20 @@ class UserBase(BaseModel):
class UserCreate(UserBase):
password: str = Field(..., min_length=8)
role: str = "viewer"
gatekeeper_groups: list[str] = Field(default_factory=list)
class UserUpdate(BaseModel):
email: Optional[EmailStr] = None
role: Optional[str] = None
gatekeeper_groups: Optional[list[str]] = None
is_active: Optional[bool] = None
class UserInDB(UserBase):
id: int
role: str
gatekeeper_groups: list[str] = Field(default_factory=list)
is_active: bool
last_login_at: Optional[datetime]
created_at: datetime
@@ -34,8 +37,36 @@ class UserInDB(UserBase):
class UserResponse(UserBase):
id: int
role: str
gatekeeper_groups: list[str] = Field(default_factory=list)
is_active: bool
email_verified: bool = False
created_at: datetime
class Config:
from_attributes = True
class UserRegister(BaseModel):
username: str = Field(..., min_length=3, max_length=50)
email: EmailStr
password: str = Field(..., min_length=8, max_length=128)
class VerifyEmailRequest(BaseModel):
email: EmailStr
code: str = Field(..., min_length=6, max_length=6)
class ResendCodeRequest(BaseModel):
email: EmailStr
purpose: str = Field(default="register", pattern="^(register|verify_email|reset_password)$")
class ForgotPasswordRequest(BaseModel):
email: EmailStr
class ResetPasswordRequest(BaseModel):
email: EmailStr
code: str = Field(..., min_length=6, max_length=6)
new_password: str = Field(..., min_length=8, max_length=128)

View File

@@ -1,24 +1,49 @@
from __future__ import annotations
import asyncio
import json
from time import perf_counter
import httpx
from fastapi import HTTPException, status
from fastapi import Depends, HTTPException, status
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.config import settings
from app.core.logging import get_logger
from app.db.session import get_db
from app.schemas.ai import (
AIProviderStatusResponse,
SituationalAnalysisRequest,
SituationalAnalysisResponse,
)
from app.services.business_logs import emit_business_log, exception_context
logger = get_logger(__name__, service="ai")
class AIProviderClient:
def __init__(self) -> None:
self.service_url = settings.AI_PROVIDER_SERVICE_URL.rstrip("/")
self.service_token = settings.AI_PROVIDER_SERVICE_TOKEN
self.timeout = settings.AI_PROVIDER_TIMEOUT_SECONDS
self.retry_attempts = max(settings.AI_PROVIDER_RETRY_ATTEMPTS, 1)
def __init__(
self,
*,
service_url: str | None = None,
service_token: str | None = None,
timeout: int | None = None,
retry_attempts: int | None = None,
llm_config: dict | None = None,
) -> None:
self.service_url = (
service_url if service_url is not None else settings.AI_PROVIDER_SERVICE_URL
).rstrip("/")
self.service_token = (
service_token if service_token is not None else settings.AI_PROVIDER_SERVICE_TOKEN
)
self.timeout = timeout if timeout is not None else settings.AI_PROVIDER_TIMEOUT_SECONDS
self.retry_attempts = max(
retry_attempts if retry_attempts is not None else settings.AI_PROVIDER_RETRY_ATTEMPTS,
1,
)
self.llm_config = llm_config or {}
def _headers(self, request_id: str | None = None) -> dict[str, str]:
headers = {"Content-Type": "application/json"}
@@ -26,10 +51,38 @@ class AIProviderClient:
headers["X-Provider-Token"] = self.service_token
if request_id:
headers["X-Request-ID"] = request_id
llm_header_map = {
"provider": "X-AI-Provider",
"provider_api": "X-AI-Provider-API",
"base_url": "X-AI-Base-URL",
"api_key": "X-AI-API-Key",
"model": "X-AI-Model",
"max_tokens": "X-AI-Max-Tokens",
"anthropic_version": "X-AI-Anthropic-Version",
}
for key, header_name in llm_header_map.items():
value = self.llm_config.get(key)
if value not in (None, ""):
headers[header_name] = str(value)
model_provider_apis = self.llm_config.get("model_provider_apis")
if isinstance(model_provider_apis, dict) and model_provider_apis:
headers["X-AI-Model-Provider-APIs"] = json.dumps(model_provider_apis)
return headers
async def get_status(self, request_id: str | None = None) -> AIProviderStatusResponse:
context = self._base_log_context(operation="status")
if not self.service_url:
await emit_business_log(
logger,
event="ai.provider.status.failed",
message="AI provider status skipped because service URL is not configured",
category="ai",
level="warning",
service="ai",
module=__name__,
request_id=request_id,
context={**context, "status": "unconfigured"},
)
return AIProviderStatusResponse(
provider="unconfigured",
enabled=False,
@@ -38,27 +91,133 @@ class AIProviderClient:
base_url=None,
)
data = await self._request("GET", "/v1/provider/status", request_id=request_id)
return AIProviderStatusResponse.model_validate(data)
started_at = perf_counter()
await emit_business_log(
logger,
event="ai.provider.status.start",
message="AI provider status request started",
category="ai",
service="ai",
module=__name__,
request_id=request_id,
context=context,
)
try:
data = await self._request("GET", "/v1/provider/status", request_id=request_id, operation="status")
result = AIProviderStatusResponse.model_validate(data)
await emit_business_log(
logger,
event="ai.provider.status.success",
message="AI provider status request completed",
category="ai",
service="ai",
module=__name__,
request_id=request_id,
context={
**context,
"status": "success",
"duration_ms": self._duration_ms(started_at),
"result_provider": result.provider,
"result_model": result.model,
"configured": result.configured,
"enabled": result.enabled,
},
)
return result
except Exception as exc:
await emit_business_log(
logger,
event="ai.provider.status.failed",
message="AI provider status request failed",
category="ai",
level="error",
service="ai",
module=__name__,
request_id=request_id,
context=exception_context(exc, {**context, "status": "failed", "duration_ms": self._duration_ms(started_at)}),
)
raise
async def analyze(
self,
payload: SituationalAnalysisRequest,
request_id: str | None = None,
) -> SituationalAnalysisResponse:
context = self._base_log_context(
operation="analyze",
preferred_model=payload.preferred_model,
input_summary=self._summarize_analysis_payload(payload),
)
if not self.service_url:
await emit_business_log(
logger,
event="ai.provider.analyze.failed",
message="AI provider analyze skipped because service URL is not configured",
category="ai",
level="warning",
service="ai",
module=__name__,
request_id=request_id,
context={**context, "status": "unconfigured"},
)
raise HTTPException(
status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
detail="AI provider service URL is not configured.",
)
data = await self._request(
"POST",
"/v1/analyze",
json=payload.model_dump(),
started_at = perf_counter()
await emit_business_log(
logger,
event="ai.provider.analyze.start",
message="AI provider analyze request started",
category="ai",
service="ai",
module=__name__,
request_id=request_id,
context=context,
)
return SituationalAnalysisResponse.model_validate(data)
try:
data = await self._request(
"POST",
"/v1/analyze",
json=payload.model_dump(),
request_id=request_id,
operation="analyze",
payload_summary=context["input_summary"],
)
result = SituationalAnalysisResponse.model_validate(data)
await emit_business_log(
logger,
event="ai.provider.analyze.success",
message="AI provider analyze request completed",
category="ai",
service="ai",
module=__name__,
request_id=request_id,
context={
**context,
"status": "success",
"duration_ms": self._duration_ms(started_at),
"result_provider": result.provider,
"result_model": result.model,
"content_block_count": len(result.content_blocks or []),
"thinking_block_count": len(result.thinking_blocks or []),
},
)
return result
except Exception as exc:
await emit_business_log(
logger,
event="ai.provider.analyze.failed",
message="AI provider analyze request failed",
category="ai",
level="error",
service="ai",
module=__name__,
request_id=request_id,
context=exception_context(exc, {**context, "status": "failed", "duration_ms": self._duration_ms(started_at)}),
)
raise
async def _request(
self,
@@ -66,9 +225,12 @@ class AIProviderClient:
path: str,
json: dict | None = None,
request_id: str | None = None,
operation: str = "request",
payload_summary: dict | None = None,
) -> dict:
last_error: Exception | None = None
for attempt in range(1, self.retry_attempts + 1):
attempt_started_at = perf_counter()
try:
async with httpx.AsyncClient(timeout=self.timeout) as client:
response = await client.request(
@@ -82,6 +244,15 @@ class AIProviderClient:
except httpx.HTTPStatusError as exc:
last_error = exc
if attempt < self.retry_attempts and exc.response.status_code >= 500:
await self._log_retry(
operation=operation,
request_id=request_id,
attempt=attempt,
status_code=exc.response.status_code,
duration_ms=self._duration_ms(attempt_started_at),
error=exc,
payload_summary=payload_summary,
)
await asyncio.sleep(0.3 * attempt)
continue
detail = exc.response.text or "AI provider service returned an error"
@@ -92,6 +263,14 @@ class AIProviderClient:
except httpx.HTTPError as exc:
last_error = exc
if attempt < self.retry_attempts:
await self._log_retry(
operation=operation,
request_id=request_id,
attempt=attempt,
duration_ms=self._duration_ms(attempt_started_at),
error=exc,
payload_summary=payload_summary,
)
await asyncio.sleep(0.3 * attempt)
continue
raise HTTPException(
@@ -104,6 +283,80 @@ class AIProviderClient:
detail=f"AI provider service request failed: {last_error}",
)
def _base_log_context(self, **extra: object) -> dict:
llm_provider_apis = self.llm_config.get("model_provider_apis")
return {
"provider": self.llm_config.get("provider") or "",
"provider_api": self.llm_config.get("provider_api") or "",
"model": self.llm_config.get("model") or "",
"base_url_configured": bool(self.llm_config.get("base_url")),
"service_url_configured": bool(self.service_url),
"timeout_seconds": self.timeout,
"retry_attempts": self.retry_attempts,
"model_provider_api_count": len(llm_provider_apis or {}) if isinstance(llm_provider_apis, dict) else 0,
**extra,
}
def get_ai_provider_client() -> AIProviderClient:
return AIProviderClient()
@staticmethod
def _duration_ms(started_at: float) -> int:
return int((perf_counter() - started_at) * 1000)
@staticmethod
def _summarize_analysis_payload(payload: SituationalAnalysisRequest) -> dict:
context = payload.context if isinstance(payload.context, dict) else {}
thinking = payload.thinking if isinstance(payload.thinking, dict) else payload.thinking
return {
"title_length": len(payload.title or ""),
"objective_length": len(payload.objective or ""),
"observation_count": len(payload.observations or []),
"constraint_count": len(payload.constraints or []),
"has_system_prompt": bool(payload.system_prompt),
"thinking_enabled": bool(thinking),
"context_keys": sorted(str(key) for key in context.keys()),
}
async def _log_retry(
self,
*,
operation: str,
request_id: str | None,
attempt: int,
duration_ms: int,
error: BaseException,
status_code: int | None = None,
payload_summary: dict | None = None,
) -> None:
await emit_business_log(
logger,
event=f"ai.provider.{operation}.retry",
message="AI provider request will retry",
category="ai",
level="warning",
service="ai",
module=__name__,
request_id=request_id,
context=exception_context(
error,
{
**self._base_log_context(operation=operation),
"attempt": attempt,
"next_attempt": attempt + 1,
"status_code": status_code,
"duration_ms": duration_ms,
"input_summary": payload_summary,
},
),
)
async def get_ai_provider_client(db: AsyncSession = Depends(get_db)) -> AIProviderClient:
from app.api.v1.settings import get_runtime_ai_provider_config
runtime_config = await get_runtime_ai_provider_config(db)
return AIProviderClient(
service_url=runtime_config["service_url"],
service_token=runtime_config["service_token"],
timeout=runtime_config["timeout_seconds"],
retry_attempts=runtime_config["retry_attempts"],
llm_config=runtime_config.get("llm_config") or {},
)

View File

@@ -0,0 +1,7 @@
"""Backend-owned AI tool services.
The services in this package are business tools used by Planet's backend
orchestrators. They intentionally live outside ``aiprovider`` so model transport
stays separate from evidence collection and domain policy.
"""

View File

@@ -0,0 +1,48 @@
from __future__ import annotations
import hashlib
from typing import Iterable
from app.services.ai_tools.schemas import FetchedEvidence, SearchEvidence
def evidence_content_hash(text: str) -> str:
return hashlib.sha256(text.encode("utf-8")).hexdigest()
def normalize_search_evidence(items: Iterable[SearchEvidence], *, limit: int = 5) -> list[dict]:
normalized: list[dict] = []
seen_urls: set[str] = set()
for item in items:
if not item.url or item.url in seen_urls:
continue
seen_urls.add(item.url)
normalized.append(
{
"title": item.title,
"url": item.url,
"snippet": item.snippet,
"content": item.compact_text(),
"score": item.score,
"source_provider": item.source_provider,
"retrieved_at": item.retrieved_at.isoformat(),
"metadata": item.metadata,
}
)
if len(normalized) >= limit:
break
return normalized
def normalize_fetched_evidence(item: FetchedEvidence, *, text_limit: int = 1200) -> dict:
text = " ".join(item.text.split())[:text_limit]
return {
"title": item.title,
"url": item.final_url or item.url,
"text": text,
"content_hash": item.content_hash or evidence_content_hash(item.text),
"extractor": item.extractor,
"retrieved_at": item.retrieved_at.isoformat(),
"metadata": item.metadata,
}

View File

@@ -0,0 +1,63 @@
from __future__ import annotations
from datetime import UTC, datetime
from typing import Any
from pydantic import BaseModel, Field
class SearchEvidence(BaseModel):
title: str = ""
url: str = ""
snippet: str = ""
content: str = ""
score: float | None = None
source_provider: str = ""
retrieved_at: datetime = Field(default_factory=lambda: datetime.now(UTC))
metadata: dict[str, Any] = Field(default_factory=dict)
def compact_text(self, limit: int = 700) -> str:
text = " ".join((self.content or self.snippet or "").split())
return text[:limit]
class FetchedEvidence(BaseModel):
url: str
final_url: str = ""
title: str = ""
text: str = ""
content_hash: str = ""
extractor: str = "basic_html"
retrieved_at: datetime = Field(default_factory=lambda: datetime.now(UTC))
metadata: dict[str, Any] = Field(default_factory=dict)
class WebSearchProviderConfig(BaseModel):
provider: str = "tavily"
base_url: str = ""
api_key: str = ""
max_results: int = Field(default=5, ge=1, le=20)
timeout_seconds: int = Field(default=20, ge=3, le=120)
endpoint_path: str = ""
search_depth: str = "basic"
engine: str = "google"
include_answer: bool = False
include_raw_content: bool = False
include_text: bool = False
categories: str = "general"
engines: list[str] = Field(default_factory=list)
search_path: str = ""
scrape_path: str = ""
scrape_formats: list[str] = Field(default_factory=lambda: ["markdown"])
class WebSearchConfig(BaseModel):
enabled: bool = False
default_provider: str = "tavily"
provider: str = "tavily"
providers: dict[str, WebSearchProviderConfig] = Field(default_factory=dict)
@property
def active_provider_config(self) -> WebSearchProviderConfig:
return self.providers.get(self.default_provider) or self.providers.get(self.provider) or WebSearchProviderConfig(provider=self.default_provider or self.provider)

View File

@@ -0,0 +1,122 @@
from __future__ import annotations
import hashlib
from time import perf_counter
from urllib.parse import urlparse
import httpx
from bs4 import BeautifulSoup
from app.core.logging import get_logger
from app.services.ai_tools.schemas import FetchedEvidence
from app.services.business_logs import emit_business_log, exception_context
logger = get_logger(__name__, service="ai_tool")
class WebFetchError(RuntimeError):
pass
def _extract_title_and_text(html: str) -> tuple[str, str]:
soup = BeautifulSoup(html, "html.parser")
for tag in soup(["script", "style", "noscript", "svg"]):
tag.decompose()
title = soup.title.get_text(" ", strip=True) if soup.title else ""
main = soup.find("main") or soup.find("article") or soup.body or soup
text = main.get_text("\n", strip=True)
lines = [line.strip() for line in text.splitlines() if line.strip()]
return title, "\n".join(lines)
async def fetch_url_evidence(
url: str,
*,
timeout_seconds: int = 20,
max_bytes: int = 1_500_000,
) -> FetchedEvidence:
started_at = perf_counter()
if not url:
await emit_business_log(
logger,
event="ai_tool.web_fetch.failed",
message="WebFetch failed because URL is empty",
category="ai_tool",
level="warning",
service="ai_tool",
module=__name__,
context={"reason": "empty_url"},
)
raise WebFetchError("url is required")
request_host = urlparse(url).netloc
await emit_business_log(
logger,
event="ai_tool.web_fetch.start",
message="WebFetch request started",
category="ai_tool",
service="ai_tool",
module=__name__,
context={
"url_host": request_host,
"timeout_seconds": timeout_seconds,
"max_bytes": max_bytes,
},
)
try:
async with httpx.AsyncClient(
timeout=timeout_seconds,
follow_redirects=True,
headers={"User-Agent": "PlanetEvidenceFetcher/1.0"},
) as client:
response = await client.get(url)
response.raise_for_status()
content = response.content[:max_bytes]
except httpx.HTTPError as exc:
await emit_business_log(
logger,
event="ai_tool.web_fetch.failed",
message="WebFetch request failed",
category="ai_tool",
level="error",
service="ai_tool",
module=__name__,
context=exception_context(
exc,
{
"url_host": request_host,
"status": "failed",
"duration_ms": int((perf_counter() - started_at) * 1000),
},
),
)
raise WebFetchError(f"failed to fetch page: {exc}") from exc
title, text = _extract_title_and_text(content.decode(response.encoding or "utf-8", errors="ignore"))
content_hash = hashlib.sha256(text.encode("utf-8")).hexdigest()
await emit_business_log(
logger,
event="ai_tool.web_fetch.success",
message="WebFetch request completed",
category="ai_tool",
service="ai_tool",
module=__name__,
context={
"url_host": request_host,
"final_url_host": urlparse(str(response.url)).netloc,
"status": "success",
"status_code": response.status_code,
"bytes_read": len(content),
"content_hash": content_hash,
"duration_ms": int((perf_counter() - started_at) * 1000),
"extractor": "beautifulsoup_basic",
},
)
return FetchedEvidence(
url=url,
final_url=str(response.url),
title=title,
text=text,
content_hash=content_hash,
extractor="beautifulsoup_basic",
)

View File

@@ -0,0 +1,476 @@
from __future__ import annotations
from copy import deepcopy
import hashlib
from time import perf_counter
from typing import Any
import httpx
from app.core.logging import get_logger
from app.services.ai_tools.schemas import SearchEvidence, WebSearchConfig, WebSearchProviderConfig
from app.services.business_logs import emit_business_log, exception_context
logger = get_logger(__name__, service="ai_tool")
WEB_SEARCH_PROVIDER_PRESETS: dict[str, dict[str, Any]] = {
"tavily": {
"provider": "tavily",
"label": "Tavily",
"api_key_env": "TAVILY_API_KEY",
"base_url": "https://api.tavily.com",
"endpoint_path": "/search",
"max_results": 5,
"timeout_seconds": 20,
"search_depth": "basic",
"include_answer": False,
"include_raw_content": False,
},
"brave": {
"provider": "brave",
"label": "Brave Search API",
"api_key_env": "BRAVE_SEARCH_API_KEY",
"base_url": "https://api.search.brave.com",
"endpoint_path": "/res/v1/web/search",
"max_results": 5,
"timeout_seconds": 20,
},
"serpapi": {
"provider": "serpapi",
"label": "SerpAPI",
"api_key_env": "SERPAPI_API_KEY",
"base_url": "https://serpapi.com",
"endpoint_path": "/search.json",
"engine": "google",
"max_results": 5,
"timeout_seconds": 20,
},
"exa": {
"provider": "exa",
"label": "Exa",
"api_key_env": "EXA_API_KEY",
"base_url": "https://api.exa.ai",
"endpoint_path": "/search",
"max_results": 5,
"timeout_seconds": 20,
"include_text": False,
},
"firecrawl": {
"provider": "firecrawl",
"label": "Firecrawl Search / Scrape",
"api_key_env": "FIRECRAWL_API_KEY",
"base_url": "https://api.firecrawl.dev",
"search_path": "/v2/search",
"scrape_path": "/v2/scrape",
"max_results": 5,
"timeout_seconds": 30,
"scrape_formats": ["markdown"],
},
"searxng": {
"provider": "searxng",
"label": "SearXNG",
"api_key_env": "SEARXNG_API_KEY",
"base_url": "http://localhost:8080",
"endpoint_path": "/",
"max_results": 5,
"timeout_seconds": 20,
"categories": "general",
"engines": [],
},
}
class WebSearchError(RuntimeError):
pass
class WebSearchConfigurationError(WebSearchError):
pass
def normalize_web_search_provider(provider: str | None) -> str:
return (provider or "tavily").strip().lower() or "tavily"
def get_web_search_provider_preset(provider: str) -> dict[str, Any]:
provider_id = normalize_web_search_provider(provider)
preset = WEB_SEARCH_PROVIDER_PRESETS.get(provider_id)
if not preset:
raise ValueError(f"Unsupported web search provider: {provider}")
return deepcopy(preset)
def list_web_search_provider_presets() -> list[dict[str, Any]]:
return [get_web_search_provider_preset(provider) for provider in WEB_SEARCH_PROVIDER_PRESETS]
def provider_defaults(provider: str) -> WebSearchProviderConfig:
preset = get_web_search_provider_preset(provider)
return WebSearchProviderConfig(**{
key: value
for key, value in preset.items()
if key in WebSearchProviderConfig.model_fields
})
class WebSearchClient:
def __init__(self, config: WebSearchConfig) -> None:
self.config = config
async def search(
self,
query: str,
*,
max_results: int | None = None,
domains: list[str] | None = None,
freshness_days: int | None = None,
) -> list[SearchEvidence]:
started_at = perf_counter()
if not self.config.enabled:
await emit_business_log(
logger,
event="ai_tool.web_search.unavailable",
message="WebSearch skipped because integration is disabled",
category="ai_tool",
level="warning",
service="ai_tool",
module=__name__,
context={"provider": self.config.default_provider, "reason": "disabled"},
)
raise WebSearchConfigurationError("WebSearch is disabled.")
provider_config = self.config.active_provider_config
provider = normalize_web_search_provider(provider_config.provider)
if provider != "searxng" and not provider_config.api_key:
await emit_business_log(
logger,
event="ai_tool.web_search.unavailable",
message="WebSearch skipped because API key is not configured",
category="ai_tool",
level="warning",
service="ai_tool",
module=__name__,
context={"provider": provider, "reason": "missing_api_key"},
)
raise WebSearchConfigurationError(f"{provider} API key is not configured.")
query = " ".join(str(query or "").split())
if not query:
await emit_business_log(
logger,
event="ai_tool.web_search.failed",
message="WebSearch failed because query is empty",
category="ai_tool",
level="warning",
service="ai_tool",
module=__name__,
context={"provider": provider, "reason": "empty_query"},
)
raise WebSearchConfigurationError("search query is required.")
limit = max_results or provider_config.max_results
context = {
"provider": provider,
"query_hash": hashlib.sha256(query.encode("utf-8")).hexdigest(),
"query_length": len(query),
"max_results": limit,
"domain_count": len(domains or []),
"freshness_days": freshness_days,
}
await emit_business_log(
logger,
event="ai_tool.web_search.start",
message="WebSearch request started",
category="ai_tool",
service="ai_tool",
module=__name__,
context=context,
)
try:
if provider == "tavily":
results = await self._search_tavily(provider_config, query, limit, domains, freshness_days)
elif provider == "brave":
results = await self._search_brave(provider_config, query, limit, domains)
elif provider == "serpapi":
results = await self._search_serpapi(provider_config, query, limit)
elif provider == "exa":
results = await self._search_exa(provider_config, query, limit, domains)
elif provider == "firecrawl":
results = await self._search_firecrawl(provider_config, query, limit)
elif provider == "searxng":
results = await self._search_searxng(provider_config, query, limit, domains)
else:
raise WebSearchConfigurationError(f"Unsupported web search provider: {provider}")
event = "ai_tool.web_search.success" if results else "ai_tool.web_search.empty"
await emit_business_log(
logger,
event=event,
message="WebSearch request completed" if results else "WebSearch returned no results",
category="ai_tool",
level="info" if results else "warning",
service="ai_tool",
module=__name__,
context={
**context,
"status": "success" if results else "empty",
"result_count": len(results),
"duration_ms": int((perf_counter() - started_at) * 1000),
},
)
return results
except Exception as exc:
await emit_business_log(
logger,
event="ai_tool.web_search.failed",
message="WebSearch request failed",
category="ai_tool",
level="error",
service="ai_tool",
module=__name__,
context=exception_context(exc, {**context, "status": "failed", "duration_ms": int((perf_counter() - started_at) * 1000)}),
)
raise
async def test_connection(self) -> list[SearchEvidence]:
return await self.search("Planet WebSearch connectivity test", max_results=1)
async def _request_json(
self,
method: str,
url: str,
*,
provider_config: WebSearchProviderConfig,
headers: dict[str, str] | None = None,
params: dict[str, Any] | None = None,
json: dict[str, Any] | None = None,
) -> dict[str, Any]:
try:
async with httpx.AsyncClient(timeout=provider_config.timeout_seconds) as client:
response = await client.request(
method,
url,
headers=headers,
params=params,
json=json,
)
response.raise_for_status()
data = response.json()
except httpx.HTTPStatusError as exc:
detail = exc.response.text or exc.response.reason_phrase
raise WebSearchError(f"{provider_config.provider} request failed: {detail}") from exc
except httpx.HTTPError as exc:
raise WebSearchError(f"{provider_config.provider} request failed: {exc}") from exc
except ValueError as exc:
raise WebSearchError(f"{provider_config.provider} returned invalid JSON") from exc
return data if isinstance(data, dict) else {}
async def _search_tavily(
self,
config: WebSearchProviderConfig,
query: str,
max_results: int,
domains: list[str] | None,
freshness_days: int | None,
) -> list[SearchEvidence]:
body: dict[str, Any] = {
"api_key": config.api_key,
"query": query,
"max_results": max_results,
"search_depth": config.search_depth or "basic",
"include_answer": config.include_answer,
"include_raw_content": config.include_raw_content,
}
if domains:
body["include_domains"] = domains
if freshness_days:
body["days"] = freshness_days
data = await self._request_json(
"POST",
_join_url(config.base_url, config.endpoint_path or "/search"),
provider_config=config,
json=body,
)
return [
SearchEvidence(
title=str(item.get("title") or ""),
url=str(item.get("url") or ""),
snippet=str(item.get("content") or ""),
content=str(item.get("raw_content") or ""),
score=_float_or_none(item.get("score")),
source_provider="tavily",
metadata={"query": data.get("query") or query},
)
for item in data.get("results") or []
if isinstance(item, dict) and item.get("url")
]
async def _search_brave(
self,
config: WebSearchProviderConfig,
query: str,
max_results: int,
domains: list[str] | None,
) -> list[SearchEvidence]:
search_query = query
if domains:
search_query = f"{query} " + " ".join(f"site:{domain}" for domain in domains)
data = await self._request_json(
"GET",
_join_url(config.base_url, config.endpoint_path or "/res/v1/web/search"),
provider_config=config,
headers={"X-Subscription-Token": config.api_key},
params={"q": search_query, "count": max_results},
)
results = (data.get("web") or {}).get("results") or []
return [
SearchEvidence(
title=str(item.get("title") or ""),
url=str(item.get("url") or ""),
snippet=str(item.get("description") or ""),
source_provider="brave",
metadata={"age": item.get("age")},
)
for item in results
if isinstance(item, dict) and item.get("url")
]
async def _search_serpapi(
self,
config: WebSearchProviderConfig,
query: str,
max_results: int,
) -> list[SearchEvidence]:
data = await self._request_json(
"GET",
_join_url(config.base_url, config.endpoint_path or "/search.json"),
provider_config=config,
params={
"api_key": config.api_key,
"engine": config.engine or "google",
"q": query,
"num": max_results,
},
)
return [
SearchEvidence(
title=str(item.get("title") or ""),
url=str(item.get("link") or ""),
snippet=str(item.get("snippet") or ""),
source_provider="serpapi",
metadata={"position": item.get("position")},
)
for item in data.get("organic_results") or []
if isinstance(item, dict) and item.get("link")
]
async def _search_exa(
self,
config: WebSearchProviderConfig,
query: str,
max_results: int,
domains: list[str] | None,
) -> list[SearchEvidence]:
body: dict[str, Any] = {
"query": query,
"numResults": max_results,
}
if domains:
body["includeDomains"] = domains
if config.include_text:
body["contents"] = {"text": True}
data = await self._request_json(
"POST",
_join_url(config.base_url, config.endpoint_path or "/search"),
provider_config=config,
headers={"Authorization": f"Bearer {config.api_key}"},
json=body,
)
return [
SearchEvidence(
title=str(item.get("title") or ""),
url=str(item.get("url") or ""),
snippet=str(item.get("summary") or ""),
content=str(item.get("text") or ""),
score=_float_or_none(item.get("score")),
source_provider="exa",
metadata={"id": item.get("id")},
)
for item in data.get("results") or []
if isinstance(item, dict) and item.get("url")
]
async def _search_firecrawl(
self,
config: WebSearchProviderConfig,
query: str,
max_results: int,
) -> list[SearchEvidence]:
data = await self._request_json(
"POST",
_join_url(config.base_url, config.search_path or "/v2/search"),
provider_config=config,
headers={"Authorization": f"Bearer {config.api_key}"},
json={"query": query, "limit": max_results},
)
raw_results = data.get("data") or data.get("results") or []
return [
SearchEvidence(
title=str(item.get("title") or ""),
url=str(item.get("url") or item.get("sourceURL") or ""),
snippet=str(item.get("description") or item.get("markdown") or ""),
source_provider="firecrawl",
metadata={"status": item.get("status")},
)
for item in raw_results
if isinstance(item, dict) and (item.get("url") or item.get("sourceURL"))
]
async def _search_searxng(
self,
config: WebSearchProviderConfig,
query: str,
max_results: int,
domains: list[str] | None,
) -> list[SearchEvidence]:
search_query = query
if domains:
search_query = f"{query} " + " ".join(f"site:{domain}" for domain in domains)
params: dict[str, Any] = {
"q": search_query,
"format": "json",
"categories": config.categories or "general",
}
if config.engines:
params["engines"] = ",".join(config.engines)
headers = {"Authorization": f"Bearer {config.api_key}"} if config.api_key else None
data = await self._request_json(
"GET",
_join_url(config.base_url, config.endpoint_path or "/"),
provider_config=config,
headers=headers,
params=params,
)
results = data.get("results") or []
evidence = [
SearchEvidence(
title=str(item.get("title") or ""),
url=str(item.get("url") or ""),
snippet=str(item.get("content") or ""),
score=_float_or_none(item.get("score")),
source_provider="searxng",
metadata={"engine": item.get("engine")},
)
for item in results
if isinstance(item, dict) and item.get("url")
]
return evidence[:max_results]
def _join_url(base_url: str, path: str) -> str:
return f"{(base_url or '').rstrip('/')}/{(path or '').lstrip('/')}"
def _float_or_none(value: Any) -> float | None:
try:
return float(value)
except (TypeError, ValueError):
return None

View File

@@ -8,6 +8,9 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.models.alert import Alert, AlertSeverity, AlertStatus
from app.schemas.ai import AlertBriefRequest, SituationalAnalysisRequest
from app.ai_tasks.prompts import get_effective_prompt
ALERT_BRIEF_PROMPT_KEY = "alerts.brief"
def _format_counter(counter: Counter[str], empty_text: str = "") -> str:
@@ -84,11 +87,13 @@ async def build_alert_brief_request(
"top_datasources": dict(datasource_counts.most_common(6)),
"top_active_datasources": dict(active_datasource_counts.most_common(5)),
}
prompt = await get_effective_prompt(db, ALERT_BRIEF_PROMPT_KEY)
return (
SituationalAnalysisRequest(
title="告警态势 AI 简报",
objective="基于当前告警总量、严重度、状态、数据源分布与最近告警摘录,生成一份面向值班人员的简明告警态势简报,突出待处理风险、告警集中点和优先动作。",
objective=prompt.prompt,
system_prompt=prompt.system_prompt or None,
observations=facts,
constraints=[
"明确区分事实、推断与建议。",

View File

@@ -0,0 +1,209 @@
"""BarentsWatch AIS credential resolution and connectivity checks."""
from __future__ import annotations
import os
import shlex
from dataclasses import dataclass
from pathlib import Path
from typing import Any
import httpx
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.data_sources import get_data_sources_config
from app.models.datasource_config import DataSourceConfig
BARENTSWATCH_LATEST_URL = "https://live.ais.barentswatch.no/v1/latest/combined"
BARENTSWATCH_TOKEN_URL = "https://id.barentswatch.no/connect/token"
BARENTSWATCH_DATASOURCE_NAME = "barentswatch_vessels"
@dataclass(frozen=True)
class BarentsWatchConfig:
endpoint: str
client_id: str
client_secret: str
credential_source: str
endpoint_source: str
def _read_zshrc_env(path: Path | None = None) -> dict[str, str]:
zshrc_path = path or Path.home() / ".zshrc"
if not zshrc_path.exists():
return {}
values: dict[str, str] = {}
for raw_line in zshrc_path.read_text(encoding="utf-8", errors="ignore").splitlines():
line = raw_line.strip()
if not line or line.startswith("#"):
continue
if line.startswith("export "):
line = line[len("export ") :].strip()
if "=" not in line:
continue
key, value = line.split("=", 1)
key = key.strip()
if not key or not key.replace("_", "").isalnum() or not key[0].isalpha():
continue
try:
parsed = shlex.split(value, comments=True, posix=True)
except ValueError:
parsed = [value.strip().strip("'\"")]
if parsed:
values[key] = parsed[0]
return values
def _first_env_value(zshrc_env: dict[str, str], *keys: str) -> tuple[str, str]:
for key in keys:
value = os.getenv(key)
if value:
return value, "environment"
for key in keys:
value = zshrc_env.get(key)
if value:
return value, "~/.zshrc"
return "", ""
async def get_barentswatch_datasource_record(db: AsyncSession) -> DataSourceConfig | None:
result = await db.execute(
select(DataSourceConfig)
.where(DataSourceConfig.name == BARENTSWATCH_DATASOURCE_NAME)
.where(DataSourceConfig.is_active.is_(True))
)
return result.scalar_one_or_none()
async def resolve_barentswatch_config(db: AsyncSession | None = None) -> BarentsWatchConfig:
record = await get_barentswatch_datasource_record(db) if db else None
auth_config = dict(record.auth_config or {}) if record else {}
config = dict(record.config or {}) if record else {}
zshrc_env = _read_zshrc_env()
env_client_id, env_source = _first_env_value(
zshrc_env,
"BARENTSWATCH_CLIENT_ID",
"BARRENTSWATCH_CLIENT_ID",
)
env_client_secret, secret_env_source = _first_env_value(
zshrc_env,
"BARENTSWATCH_CLIENT_SECRET",
"BARRENTSWATCH_CLIENT_SECRET",
)
client_id = auth_config.get("client_id") or config.get("client_id") or env_client_id
client_secret = (
auth_config.get("client_secret") or config.get("client_secret") or env_client_secret
)
credential_source = ""
if auth_config.get("client_id") or auth_config.get("client_secret"):
credential_source = "datasource_config"
elif config.get("client_id") or config.get("client_secret"):
credential_source = "datasource_runtime_config"
elif env_source or secret_env_source:
credential_source = env_source or secret_env_source
yaml_endpoint = get_data_sources_config().get_yaml_url(BARENTSWATCH_DATASOURCE_NAME)
endpoint = record.endpoint if record and record.endpoint else yaml_endpoint
return BarentsWatchConfig(
endpoint=endpoint or BARENTSWATCH_LATEST_URL,
client_id=str(client_id or ""),
client_secret=str(client_secret or ""),
credential_source=credential_source or "missing",
endpoint_source="datasource_config" if record and record.endpoint else "default",
)
async def fetch_barentswatch_access_token(
client: httpx.AsyncClient,
config: BarentsWatchConfig,
) -> str | None:
if not config.client_id or not config.client_secret:
return None
response = await client.post(
BARENTSWATCH_TOKEN_URL,
data={
"client_id": config.client_id,
"client_secret": config.client_secret,
"scope": "ais",
"grant_type": "client_credentials",
},
headers={"Content-Type": "application/x-www-form-urlencoded"},
)
response.raise_for_status()
payload = response.json()
token = payload.get("access_token")
return str(token) if token else None
async def check_barentswatch_connectivity(db: AsyncSession) -> dict[str, Any]:
config = await resolve_barentswatch_config(db)
return await check_barentswatch_config(config)
async def check_barentswatch_config(config: BarentsWatchConfig) -> dict[str, Any]:
if not config.client_id or not config.client_secret:
return {
"success": False,
"stage": "credentials",
"message": "未找到 BarentsWatch client id/client secret请先配置采集器凭证。",
"endpoint": config.endpoint,
"credential_source": config.credential_source,
"settings_tab": "collector_credentials",
}
try:
async with httpx.AsyncClient(timeout=20.0) as client:
token = await fetch_barentswatch_access_token(client, config)
if not token:
return {
"success": False,
"stage": "token",
"message": "BarentsWatch token 响应中没有 access_token请检查凭证。",
"endpoint": config.endpoint,
"credential_source": config.credential_source,
"settings_tab": "collector_credentials",
}
async with client.stream(
"GET",
config.endpoint,
headers={"Authorization": f"Bearer {token}"},
) as response:
response.raise_for_status()
return {
"success": True,
"stage": "endpoint",
"message": "BarentsWatch AIS token 和数据接口均可连通。",
"endpoint": config.endpoint,
"credential_source": config.credential_source,
"endpoint_source": config.endpoint_source,
}
except httpx.HTTPStatusError as exc:
status_code = exc.response.status_code
stage = "token" if str(exc.request.url) == BARENTSWATCH_TOKEN_URL else "endpoint"
return {
"success": False,
"stage": stage,
"message": f"BarentsWatch {stage} 请求返回 HTTP {status_code},请检查凭证或接口地址。",
"endpoint": config.endpoint,
"credential_source": config.credential_source,
"settings_tab": "collector_credentials",
}
except httpx.HTTPError as exc:
return {
"success": False,
"stage": "network",
"message": f"BarentsWatch 链路检查失败:{exc.__class__.__name__}",
"endpoint": config.endpoint,
"credential_source": config.credential_source,
"settings_tab": "collector_credentials",
}

View File

@@ -11,9 +11,12 @@ from app.models.bgp_anomaly import BGPAnomaly
from app.models.bgp_incident import BGPIncident
from app.models.bgp_observation import BGPObservation
from app.schemas.ai import SituationalAnalysisRequest
from app.ai_tasks.prompts import get_effective_prompt
from app.services.bgp_collectors import build_bgp_collector_coverage
from app.services.bgp_enrichment import lookup_prefix_geography
BGP_BRIEF_PROMPT_KEY = "bgp.brief"
def _format_counter(counter: dict[str, int], empty_text: str = "") -> str:
if not counter:
@@ -243,12 +246,15 @@ async def build_bgp_brief_request(
for prefix, item in list(prefix_geographies.items())[:8]
},
}
prompt = await get_effective_prompt(db, BGP_BRIEF_PROMPT_KEY)
return SituationalAnalysisRequest(
title="BGP 态势 AI 简报",
objective="基于当前 BGP incidents、anomalies、原始观测事件、观测站覆盖与 prefix geography 证据,生成一份面向操作员的简明态势简报,突出区域热点、观测偏差、当前风险、证据和优先动作。",
objective=prompt.prompt,
system_prompt=prompt.system_prompt or None,
observations=observations_lines,
constraints=[
"直接输出中文 Markdown 简报正文,不要输出英文写作计划、提示词复述、字段说明或元评论。",
"明确区分事实、推断与建议。",
"优先指出需要立即关注的高严重度 incident 或异常模式。",
"需要单独指出哪些区域结论来自 prefix geography / affected regions哪些可能受 collector coverage 偏差影响。",

View File

@@ -0,0 +1,324 @@
"""BGP route-collector location resolver.
Collector positions are stored in the ``bgp_collector_locations`` database
table. The old JSON registry is now only a seed payload used during database
initialization, not a runtime resolver or candidate source.
"""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any, Iterator
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.models.bgp_collector_location import BGPCollectorLocation
from app.services.location import (
LocationCandidate,
LocationPipeline,
LocationQuery,
NominatimResolver,
ResolutionResult,
ResolverOutput,
SourceCoordinatesResolver,
build_default_nominatim_geocoder,
coerce_str,
normalize_text,
)
SEED_PATH = (
Path(__file__).resolve().parents[1]
/ "data"
/ "seeds"
/ "ripe_ris_collector_locations_seed.json"
)
# ── Geocoder (kept at module level for monkeypatching + cache_clear) ──
_geocode_online = build_default_nominatim_geocoder()
# ── In-process compatibility cache ──────────────────────────────────
RIPE_RIS_COLLECTOR_COORDS: dict[str, dict[str, Any]] = {}
def _collector_record_to_dict(record: BGPCollectorLocation) -> dict[str, Any]:
return record.to_location_dict()
def set_bgp_collector_location_cache(
locations: dict[str, dict[str, Any]],
) -> None:
"""Replace the legacy compatibility cache in-place."""
RIPE_RIS_COLLECTOR_COORDS.clear()
RIPE_RIS_COLLECTOR_COORDS.update(
{coerce_str(key): dict(value) for key, value in locations.items()}
)
async def refresh_bgp_collector_location_cache(
session: AsyncSession,
) -> dict[str, dict[str, Any]]:
result = await session.execute(select(BGPCollectorLocation))
records = result.scalars().all()
cache = {
record.collector_id: _collector_record_to_dict(record)
for record in records
if record.collector_id
}
set_bgp_collector_location_cache(cache)
return cache
def _load_seed_payload() -> dict[str, Any]:
with SEED_PATH.open("r", encoding="utf-8") as handle:
return json.load(handle)
def _seed_entry_to_record_kwargs(entry: dict[str, Any], collector_id: str) -> dict[str, Any]:
return {
"collector_id": collector_id,
"operator": entry.get("operator") or "RIPE NCC",
"site": entry.get("site"),
"city": entry.get("city"),
"country": entry.get("country"),
"latitude": entry.get("latitude"),
"longitude": entry.get("longitude"),
"precision": entry.get("precision") or "city",
"confidence": entry.get("confidence"),
"source": "legacy_seed",
"source_url": None,
"source_note": entry.get("source_note")
or "Seeded from legacy RIPE RIS collector coordinates",
"raw_payload": entry,
"needs_confirmation": True,
"verification_status": "unverified",
"verified_at": None,
}
async def seed_default_bgp_collector_locations(session: AsyncSession) -> None:
"""Seed default RIPE RIS collector locations without overwriting users."""
payload = _load_seed_payload()
for entry in payload.get("locations", []):
aliases = entry.get("aliases") or []
collector_ids = [
coerce_str(alias)
for alias in aliases
if coerce_str(alias).startswith("rrc")
]
if not collector_ids:
continue
collector_id = collector_ids[0]
existing = await session.scalar(
select(BGPCollectorLocation).where(
BGPCollectorLocation.collector_id == collector_id
)
)
if existing:
continue
session.add(
BGPCollectorLocation(
**_seed_entry_to_record_kwargs(entry, collector_id)
)
)
await session.commit()
await refresh_bgp_collector_location_cache(session)
def get_bgp_collector_location_dict(collector_name: str) -> dict[str, Any]:
"""Return the current cached collector location dict, or ``{}`` if unknown."""
return dict(RIPE_RIS_COLLECTOR_COORDS.get(coerce_str(collector_name), {}))
def iter_known_collector_names() -> Iterator[str]:
"""Yield every collector technical name (rrcXX) known in the cache."""
return iter(sorted(RIPE_RIS_COLLECTOR_COORDS.keys()))
# ── Pipeline construction ──────────────────────────────────────────
class StoredCollectorLocationResolver:
"""Resolve a collector through the DB-backed compatibility cache."""
name = "stored_collector_location"
def resolve(self, query: LocationQuery) -> ResolverOutput:
collector = coerce_str(query.name)
if not collector:
for alias in query.aliases:
collector = coerce_str(alias)
if collector:
break
if not collector:
return ResolverOutput()
location = get_bgp_collector_location_dict(collector)
if not location:
return ResolverOutput()
latitude = location.get("latitude")
longitude = location.get("longitude")
if latitude in (None, 0.0) or longitude in (None, 0.0):
return ResolverOutput()
return ResolverOutput(
candidates=(
LocationCandidate(
latitude=float(latitude),
longitude=float(longitude),
display_name=location.get("matched_location_name") or collector,
precision=location.get("precision") or "city",
confidence=float(location.get("confidence") or 0.85),
query=f"stored_collector_location::{collector}",
source=location.get("source") or self.name,
source_note=location.get("source_note"),
matched_fields=("collector",),
needs_confirmation=bool(location.get("needs_confirmation")),
city=location.get("city"),
region=None,
country=location.get("country"),
matched_location_name=(
location.get("matched_location_name") or collector
),
location_verified_at=location.get("verified_at"),
suggested_registry_entry=None,
),
)
)
def _bgp_collector_query_plan(
query: LocationQuery,
) -> list[tuple[str, tuple[str, ...]]]:
"""Build the Nominatim query plan for a BGP collector."""
extra = query.extra or {}
site = str(extra.get("site") or "")
operator = str(extra.get("operator") or "")
city = query.city or ""
country = query.country or ""
plan: list[tuple[str, tuple[str, ...]]] = []
def add(parts: list[tuple[str, str]]) -> None:
non_empty = [(field, value) for field, value in parts if value]
if not non_empty:
return
seen: set[str] = set()
cleaned: list[str] = []
fields: list[str] = []
for field, value in non_empty:
key = normalize_text(value)
if not key or key in seen:
continue
seen.add(key)
cleaned.append(value)
fields.append(field)
if not cleaned:
return
composed = ", ".join(cleaned)
if not any(composed == existing for existing, _ in plan):
plan.append((composed, tuple(fields)))
add([("site", site), ("city", city), ("country", country)])
add([("site", site), ("country", country)])
add([("operator", operator), ("city", city), ("country", country)])
add([("city", city), ("country", country)])
return plan
BGP_COLLECTOR_PIPELINE = LocationPipeline(
[
SourceCoordinatesResolver(),
StoredCollectorLocationResolver(),
],
failure_reason=(
"Could not resolve BGP collector to renderable coordinates from"
" source coordinates or stored collector location."
),
)
BGP_COLLECTOR_COLLECTION_PIPELINE = LocationPipeline(
[
SourceCoordinatesResolver(),
NominatimResolver(
query_plan_builder=_bgp_collector_query_plan,
# Late-binding so tests can monkeypatch ``_geocode_online``.
geocoder=lambda q: _geocode_online(q),
),
],
failure_reason=(
"Could not resolve BGP collector to renderable coordinates from"
" source coordinates or online geocoding."
),
)
# ── Public API ─────────────────────────────────────────────────────
def resolve_bgp_collector_location(
collector_name: str,
*,
city: str | None = None,
country: str | None = None,
site: str | None = None,
operator: str | None = None,
) -> ResolutionResult:
"""Resolve a BGP collector to its best-known stored location."""
stored = get_bgp_collector_location_dict(collector_name)
name = coerce_str(collector_name) or None
query = LocationQuery(
name=name,
aliases=tuple(filter(None, (collector_name,))),
city=coerce_str(city or stored.get("city")) or None,
country=coerce_str(country or stored.get("country")) or None,
extra={
"site": coerce_str(site or stored.get("site")),
"operator": coerce_str(operator or stored.get("operator")) or "RIPE NCC",
},
)
return BGP_COLLECTOR_PIPELINE.resolve_best(query)
def collect_bgp_collector_location_candidates(
*,
collector: str | None = None,
city: str | None = None,
country: str | None = None,
site: str | None = None,
operator: str | None = None,
) -> tuple[list[LocationCandidate], list[str]]:
query = build_bgp_collector_location_query(
collector=collector,
city=city,
country=country,
site=site,
operator=operator,
)
return BGP_COLLECTOR_COLLECTION_PIPELINE.collect_candidates(query)
def build_bgp_collector_location_query(
*,
collector: str | None = None,
city: str | None = None,
country: str | None = None,
site: str | None = None,
operator: str | None = None,
) -> LocationQuery:
stored = get_bgp_collector_location_dict(collector or "")
name = coerce_str(collector) or None
return LocationQuery(
name=name,
aliases=tuple(filter(None, (collector,))),
city=coerce_str(city or stored.get("city")) or None,
country=coerce_str(country or stored.get("country")) or None,
extra={
"site": coerce_str(site or stored.get("site")),
"operator": coerce_str(operator or stored.get("operator")) or "RIPE NCC",
"collector": coerce_str(collector),
},
)

View File

@@ -0,0 +1,155 @@
"""BGP event location resolver.
A BGP event (announcement / withdrawal / RIB entry) is geographically tied to
the route collector that observed it. This module defines the pipeline that
turns an event payload into renderable coordinates.
Current resolver chain:
SourceCoordinates → event payload itself carries lat/lon (rare; some
enriched feeds do).
InheritFromCollector → look up the owning collector via
:func:`resolve_bgp_collector_location`.
Future plug-ins (no consumer changes required, just append to the list):
ASNFacilityResolver — origin/peer ASN → peeringdb facility.
PrefixGeoResolver — prefix → IP range geo lookup (iptoasn / opengeofeed).
"""
from __future__ import annotations
from typing import Any
from app.services.bgp_collector_locations import (
get_bgp_collector_location_dict,
)
from app.services.location import (
InheritFromAnotherEntityResolver,
LocationCandidate,
LocationPipeline,
LocationQuery,
ResolutionResult,
SourceCoordinatesResolver,
coerce_str,
)
def _inherit_from_owning_collector(
query: LocationQuery,
) -> LocationCandidate | None:
"""Look up the event's owning collector by exact name in the DB-backed cache."""
extra = query.extra or {}
collector_name = coerce_str(extra.get("collector"))
if not collector_name:
return None
legacy = get_bgp_collector_location_dict(collector_name)
if not legacy:
return None
latitude = legacy.get("latitude")
longitude = legacy.get("longitude")
if latitude in (None, 0.0) or longitude in (None, 0.0):
return None
return LocationCandidate(
latitude=float(latitude),
longitude=float(longitude),
display_name=legacy.get("matched_location_name") or collector_name,
precision=legacy.get("precision") or "city",
confidence=float(legacy.get("confidence") or 0.85),
query=f"inherit_from_collector::{collector_name}",
source="inherited_from_collector",
source_note=(
f"Inherited from owning collector {collector_name}"
),
matched_fields=("collector",),
needs_confirmation=bool(legacy.get("needs_confirmation")),
city=legacy.get("city"),
region=None,
country=legacy.get("country"),
matched_location_name=legacy.get("matched_location_name"),
location_verified_at=legacy.get("verified_at"),
suggested_registry_entry=None,
)
BGP_EVENT_PIPELINE = LocationPipeline(
[
SourceCoordinatesResolver(),
InheritFromAnotherEntityResolver(
source_lookup=_inherit_from_owning_collector,
name="inherited_from_collector",
),
# Plug new resolvers (peeringdb / ASN facility / prefix-geo) here.
],
failure_reason=(
"Could not resolve BGP event coordinates: no source coords, owning"
" collector unknown, and no fallback resolver matched."
),
)
def resolve_bgp_event_location(
*,
collector: str,
source_latitude: float | None = None,
source_longitude: float | None = None,
site: str | None = None,
operator: str | None = None,
peer_asn: int | None = None,
origin_asn: int | None = None,
prefix: str | None = None,
) -> ResolutionResult:
"""Resolve a BGP event to its renderable coordinates.
The ``peer_asn`` / ``origin_asn`` / ``prefix`` arguments are accepted
today so future resolvers (ASN→facility, prefix→geo) can consume them
without callers needing to change.
"""
query = LocationQuery(
name=collector or None,
aliases=tuple(filter(None, (collector,))),
source_latitude=source_latitude,
source_longitude=source_longitude,
extra={
"collector": collector or "",
"site": coerce_str(site),
"operator": coerce_str(operator),
"peer_asn": peer_asn,
"origin_asn": origin_asn,
"prefix": coerce_str(prefix),
},
)
return BGP_EVENT_PIPELINE.resolve_best(query)
def resolve_bgp_event_geo_dict(
collector: str,
*,
source_latitude: float | None = None,
source_longitude: float | None = None,
) -> dict[str, Any]:
"""Convenience wrapper returning the legacy ``collector_geo`` dict shape.
Preserves ``city``/``country``/``latitude``/``longitude`` keys (consumed
by existing detectors / enrichment / DB serialization) and adds
``precision``/``source``/``needs_confirmation`` for richer downstream use.
"""
result = resolve_bgp_event_location(
collector=collector,
source_latitude=source_latitude,
source_longitude=source_longitude,
)
candidate = result.location
if candidate is None:
return {}
return {
"city": candidate.city,
"country": candidate.country,
"latitude": candidate.latitude,
"longitude": candidate.longitude,
"precision": candidate.precision,
"source": candidate.source,
"needs_confirmation": candidate.needs_confirmation,
"matched_location_name": candidate.matched_location_name,
"confidence": candidate.confidence,
}

View File

@@ -0,0 +1,117 @@
from __future__ import annotations
import asyncio
from collections.abc import Mapping
from typing import Any
from app.core.logging import PlanetLoggerAdapter, sanitize_log_value
from app.core.request_context import get_request_id
from app.services.persistent_logs import record_system_log
LEVEL_METHODS = {
"debug": "debug_event",
"info": "info_event",
"warning": "warning_event",
"error": "error_event",
}
def normalize_business_level(level: str | None) -> str:
normalized = str(level or "info").strip().lower()
if normalized in {"warn", "warning"}:
return "warning"
if normalized in {"err", "error", "critical", "fatal"}:
return "error"
if normalized == "debug":
return "debug"
return "info"
def build_business_context(
context: Mapping[str, Any] | None = None,
**fields: Any,
) -> dict[str, Any]:
payload = dict(context or {})
for key, value in fields.items():
if value is not None:
payload[key] = value
return sanitize_log_value(payload)
async def emit_business_log(
logger: PlanetLoggerAdapter,
*,
event: str,
message: str,
category: str,
level: str = "info",
source: str = "backend",
service: str | None = None,
module: str | None = None,
request_id: str | None = None,
user_id: int | None = None,
context: Mapping[str, Any] | None = None,
) -> None:
normalized_level = normalize_business_level(level)
safe_context = build_business_context(context)
log_method = getattr(logger, LEVEL_METHODS[normalized_level])
log_method(message, event=event, context=safe_context)
await record_system_log(
source=source,
level=normalized_level,
message=message,
service=service,
module=module,
event=event,
request_id=request_id or get_request_id(),
user_id=user_id,
category=category,
context=safe_context,
)
def emit_business_log_background(
logger: PlanetLoggerAdapter,
*,
event: str,
message: str,
category: str,
level: str = "info",
source: str = "backend",
service: str | None = None,
module: str | None = None,
request_id: str | None = None,
user_id: int | None = None,
context: Mapping[str, Any] | None = None,
) -> None:
normalized_level = normalize_business_level(level)
safe_context = build_business_context(context)
log_method = getattr(logger, LEVEL_METHODS[normalized_level])
log_method(message, event=event, context=safe_context)
try:
loop = asyncio.get_running_loop()
except RuntimeError:
return
loop.create_task(
record_system_log(
source=source,
level=normalized_level,
message=message,
service=service,
module=module,
event=event,
request_id=request_id or get_request_id(),
user_id=user_id,
category=category,
context=safe_context,
)
)
def exception_context(exc: BaseException, context: Mapping[str, Any] | None = None) -> dict[str, Any]:
return build_business_context(
context,
error_type=type(exc).__name__,
error=str(exc),
)

View File

@@ -36,6 +36,9 @@ from app.services.collectors.iptoasn import IPtoASNPrefixGeoCollector
from app.services.collectors.opengeofeed import OpenGeoFeedPrefixGeoCollector
from app.services.collectors.nro_delegated import NRODelegatedPrefixGeoCollector
from app.services.collectors.news_live_streams import NewsLiveStreamsCollector
from app.services.collectors.media_news_archive import MediaNewsArchiveCollector
from app.services.collectors.aisstream import AISStreamCollector
from app.services.collectors.vessel_ais import VesselAISCollector
collector_registry.register(TOP500Collector())
collector_registry.register(EpochAIGPUCollector())
@@ -63,3 +66,43 @@ collector_registry.register(IPtoASNPrefixGeoCollector())
collector_registry.register(OpenGeoFeedPrefixGeoCollector())
collector_registry.register(NRODelegatedPrefixGeoCollector())
collector_registry.register(NewsLiveStreamsCollector())
collector_registry.register(MediaNewsArchiveCollector())
collector_registry.register(VesselAISCollector())
collector_registry.register(AISStreamCollector())
__all__ = [
"BaseCollector",
"HTTPCollector",
"IntervalCollector",
"collector_registry",
"CollectorRegistry",
"TOP500Collector",
"EpochAIGPUCollector",
"HuggingFaceModelCollector",
"HuggingFaceDatasetCollector",
"HuggingFaceSpacesCollector",
"PeeringDBIXPCollector",
"PeeringDBNetworkCollector",
"PeeringDBFacilityCollector",
"TeleGeographyCableCollector",
"TeleGeographyLandingPointCollector",
"TeleGeographyCableSystemCollector",
"CloudflareRadarDeviceCollector",
"CloudflareRadarTrafficCollector",
"CloudflareRadarTopASCollector",
"ArcGISCableCollector",
"FAOLandingPointCollector",
"ArcGISLandingPointCollector",
"ArcGISCableLandingRelationCollector",
"SpaceTrackTLECollector",
"CelesTrakTLECollector",
"RISLiveCollector",
"BGPStreamBackfillCollector",
"IPtoASNPrefixGeoCollector",
"OpenGeoFeedPrefixGeoCollector",
"NRODelegatedPrefixGeoCollector",
"NewsLiveStreamsCollector",
"MediaNewsArchiveCollector",
"VesselAISCollector",
"AISStreamCollector",
]

View File

@@ -0,0 +1,491 @@
"""AISStream WebSocket collector for realtime vessel AIS observations."""
from datetime import UTC, datetime
import asyncio
import json
import os
from typing import Any
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.data_sources import get_data_sources_config
from app.core.time import to_iso8601_utc
from app.core.websocket.broadcaster import broadcaster
from app.models.datasource_config import DataSourceConfig
from app.models.task import CollectionTask
from app.services.collectors.base import BaseCollector
from app.services.vessel_ais_aggregation import (
AISSTREAM_DELIVERY_MODE,
AISSTREAM_TRANSPORT,
record_vessel_ais_observation,
update_ais_source_health,
)
from app.services.vessel_types import normalize_vessel_type_name
DEFAULT_AISSTREAM_URL = "wss://stream.aisstream.io/v0/stream"
DEFAULT_BOUNDING_BOXES = [[[-90, -180], [90, 180]]]
DEFAULT_MESSAGE_TYPES = ["PositionReport", "ShipStaticData"]
class AISStreamCollector(BaseCollector):
"""Collect AISStream WebSocket messages into the raw AIS observation layer."""
name = "aisstream_vessels"
priority = "P1"
module = "L4"
frequency_hours = 1
data_type = "vessel_ais"
fail_on_empty = False
async def _load_datasource_config(self) -> DataSourceConfig | None:
if self._db_session is None:
return None
result = await self._db_session.execute(
select(DataSourceConfig)
.where(DataSourceConfig.name == self.name)
.where(DataSourceConfig.is_active.is_(True))
)
return result.scalar_one_or_none()
async def _get_effective_config(self) -> dict[str, Any]:
datasource_config = await self._load_datasource_config()
config = dict(datasource_config.config or {}) if datasource_config else {}
auth_config = dict(datasource_config.auth_config or {}) if datasource_config else {}
endpoint = (
(datasource_config.endpoint if datasource_config else None)
or self._resolved_url
or get_data_sources_config().get_yaml_url(self.name)
or DEFAULT_AISSTREAM_URL
)
api_key = (
auth_config.get("api_key")
or config.get("api_key")
or os.getenv("AISSTREAM_API_KEY")
)
return {
"endpoint": endpoint,
"api_key": api_key,
"bounding_boxes": config.get("bounding_boxes") or DEFAULT_BOUNDING_BOXES,
"message_types": config.get("message_types") or DEFAULT_MESSAGE_TYPES,
"max_messages": int(config.get("max_messages") or 500),
"streaming_enabled": config.get("streaming_enabled", True) is not False,
"streaming_commit_interval": int(config.get("streaming_commit_interval") or 1),
"streaming_max_messages": int(config.get("streaming_max_messages") or 0),
"reconnect_delay_seconds": float(config.get("reconnect_delay_seconds") or 5),
"receive_timeout_seconds": float(config.get("receive_timeout_seconds") or 30),
}
def _build_subscription(self, config: dict[str, Any]) -> dict[str, Any]:
return {
"APIKey": config["api_key"],
"BoundingBoxes": config["bounding_boxes"],
"FilterMessageTypes": config["message_types"],
}
async def fetch(self) -> list[dict[str, Any]]:
config = await self._get_effective_config()
if not config["api_key"]:
raise RuntimeError("AISStream API key is not configured")
try:
import websockets
except ImportError as exc:
raise RuntimeError("Python package 'websockets' is required for AISStream") from exc
subscription = self._build_subscription(config)
messages: list[dict[str, Any]] = []
try:
async with websockets.connect(config["endpoint"]) as websocket:
await websocket.send(json.dumps(subscription))
while len(messages) < config["max_messages"]:
try:
raw_message = await asyncio.wait_for(
websocket.recv(),
timeout=config["receive_timeout_seconds"],
)
except TimeoutError:
break
payload = json.loads(raw_message)
if isinstance(payload, dict):
messages.append(payload)
except Exception as exc:
if self._db_session is not None:
await update_ais_source_health(
self._db_session,
source=self.name,
connection_state="disconnected",
last_error=f"{exc.__class__.__name__}: {exc}",
)
await self._db_session.commit()
raise
return messages
async def run(self, db: AsyncSession) -> dict[str, Any]:
"""Run AISStream as a long-lived streaming collector by default."""
config = await self._get_effective_config()
if not config.get("streaming_enabled", True):
return await super().run(db)
if not config["api_key"]:
return {"status": "failed", "error": "AISStream API key is not configured"}
from app.services.collectors.registry import collector_registry
if not collector_registry.is_active(self.name):
return {"status": "skipped", "reason": "Collector is disabled"}
try:
import websockets
except ImportError:
return {"status": "failed", "error": "Python package 'websockets' is required for AISStream"}
start_time = datetime.now(UTC)
task = CollectionTask(
datasource_id=getattr(self, "_datasource_id", 1),
status="running",
phase="connecting",
phase_message="正在连接 AISStream 实时流",
phase_unit="messages",
started_at=start_time,
)
db.add(task)
await db.commit()
self._current_task = task
self._db_session = db
self._last_broadcast_progress = None
await self.resolve_url(db)
await self._publish_task_update(force=True)
records_added = 0
messages_seen = 0
unique_mmsi: set[str] = set()
reconnect_delay = config["reconnect_delay_seconds"]
try:
while True:
config = await self._get_effective_config()
subscription = self._build_subscription(config)
try:
await update_ais_source_health(
db,
source=self.name,
connection_state="connecting",
)
await self.set_phase("connecting", message="正在连接 AISStream 实时流")
await db.commit()
async with websockets.connect(config["endpoint"]) as websocket:
await websocket.send(json.dumps(subscription))
await update_ais_source_health(
db,
source=self.name,
connection_state="connected",
last_success_at=datetime.now(UTC),
)
await self.set_phase(
"streaming",
message="正在接收 AISStream 实时消息",
reset_progress=False,
)
await db.commit()
while True:
try:
raw_message = await asyncio.wait_for(
websocket.recv(),
timeout=config["receive_timeout_seconds"],
)
except TimeoutError:
await update_ais_source_health(
db,
source=self.name,
connection_state="connected",
last_success_at=datetime.now(UTC),
)
await db.commit()
continue
payload = json.loads(raw_message)
if not isinstance(payload, dict):
continue
messages_seen += 1
record = self._normalize_message(payload)
if not record:
continue
unique_mmsi.add(str(record["mmsi"]))
created = await self._save_stream_record(db, record)
if created:
records_added += 1
task.records_processed = messages_seen
task.total_records = None
task.progress = None
task.phase = "streaming"
task.phase_message = "正在接收 AISStream 实时消息"
task.phase_current = messages_seen
task.phase_total = None
task.phase_unit = "messages"
await self._publish_task_update(force=True)
if config["streaming_max_messages"] and messages_seen >= config["streaming_max_messages"]:
task.status = "success"
task.phase = "stopped"
task.phase_message = "AISStream 测试流已停止"
task.completed_at = datetime.now(UTC)
await db.commit()
await self._publish_task_update(force=True)
return {
"status": "success",
"task_id": task.id,
"records_processed": records_added,
"messages_seen": messages_seen,
"unique_mmsi": len(unique_mmsi),
"execution_time_seconds": (datetime.now(UTC) - start_time).total_seconds(),
}
except asyncio.CancelledError:
raise
except Exception as exc:
await update_ais_source_health(
db,
source=self.name,
connection_state="reconnecting",
last_error=f"{exc.__class__.__name__}: {exc}",
)
task.phase = "reconnecting"
task.phase_message = "AISStream 连接中断,正在重连"
task.error_message = f"{exc.__class__.__name__}: {exc}"
await db.commit()
await self._publish_task_update(force=True)
await asyncio.sleep(reconnect_delay)
except asyncio.CancelledError:
task.status = "cancelled"
task.phase = "stopped"
task.phase_message = "AISStream 实时流已停止"
task.completed_at = datetime.now(UTC)
await update_ais_source_health(
db,
source=self.name,
connection_state="disconnected",
last_error=None,
)
await db.commit()
await self._publish_task_update(force=True)
raise
def transform(self, raw_data: list[dict[str, Any]]) -> list[dict[str, Any]]:
records = []
for item in raw_data:
record = self._normalize_message(item)
if record:
records.append(record)
return records
async def _save_data(
self,
db: AsyncSession,
data: list[dict[str, Any]],
task_id: int | None = None,
snapshot_id: int | None = None,
) -> int:
now = datetime.now(UTC)
records_added = 0
latest_observed_at = now
for index, item in enumerate(data):
observed_at = item.get("received_at") or now
observation = await record_vessel_ais_observation(
db,
source=self.name,
normalized_payload=item,
raw_payload=item.get("_raw_payload") or item,
delivery_mode=AISSTREAM_DELIVERY_MODE,
transport=AISSTREAM_TRANSPORT,
message_type=item.get("_message_type") or "PositionReport",
source_message_id=item.get("_source_message_id"),
observed_at=observed_at,
collected_at=now,
)
if observation is not None:
records_added += 1
if isinstance(observed_at, datetime) and observed_at > latest_observed_at:
latest_observed_at = observed_at
if (index + 1) % 1000 == 0:
await self.update_progress(index + 1, commit=True)
await update_ais_source_health(
db,
source=self.name,
connection_state="connected",
observed_count=len(data),
last_seen_at=latest_observed_at,
last_success_at=now if data else None,
lag_seconds=max((now - latest_observed_at).total_seconds(), 0),
)
await db.commit()
await self.update_progress(records_added, force=True)
return records_added
async def _save_stream_record(self, db: AsyncSession, item: dict[str, Any]) -> bool:
now = datetime.now(UTC)
observed_at = item.get("received_at") or now
observation = await record_vessel_ais_observation(
db,
source=self.name,
normalized_payload=item,
raw_payload=item.get("_raw_payload") or item,
delivery_mode=AISSTREAM_DELIVERY_MODE,
transport=AISSTREAM_TRANSPORT,
message_type=item.get("_message_type") or "PositionReport",
source_message_id=item.get("_source_message_id"),
observed_at=observed_at,
collected_at=now,
)
await update_ais_source_health(
db,
source=self.name,
connection_state="connected",
observed_count=1,
last_seen_at=observed_at if isinstance(observed_at, datetime) else now,
last_success_at=now,
lag_seconds=max((now - observed_at).total_seconds(), 0) if isinstance(observed_at, datetime) else None,
)
await db.commit()
await self._broadcast_vessel_delta(item, created=observation is not None)
return observation is not None
async def _broadcast_vessel_delta(self, item: dict[str, Any], *, created: bool) -> None:
await broadcaster.broadcast_custom(
"vessels",
{
"action": "upsert",
"source": self.name,
"created": created,
"vessels": [
{
"mmsi": item.get("mmsi"),
"mmsi_display": str(item.get("mmsi")) if item.get("mmsi") is not None else None,
"name": item.get("name"),
"lat": item.get("lat"),
"lon": item.get("lon"),
"sog": item.get("sog"),
"cog": item.get("cog"),
"heading": item.get("heading"),
"nav_status": item.get("nav_status"),
"vessel_type": item.get("vessel_type"),
"vessel_type_name": item.get("vessel_type_name"),
"received_at": to_iso8601_utc(item.get("received_at")),
}
],
},
)
def _normalize_message(self, item: dict[str, Any]) -> dict[str, Any] | None:
message_type = str(item.get("MessageType") or item.get("message_type") or "")
metadata = item.get("MetaData") if isinstance(item.get("MetaData"), dict) else {}
message = item.get("Message") if isinstance(item.get("Message"), dict) else {}
body = message.get(message_type) if isinstance(message.get(message_type), dict) else message
if not isinstance(body, dict):
body = {}
mmsi = _as_int(_pick(metadata, "MMSI", "mmsi") or _pick(body, "MMSI", "mmsi"))
if mmsi is None:
return None
received_at = _parse_datetime(
_pick(metadata, "time_utc", "Time_UTC", "timestamp")
or _pick(body, "Timestamp", "timestamp", "time")
)
ship_name = _clean_text(
_pick(body, "Name", "ShipName", "name")
or _pick(metadata, "ShipName", "ship_name", "name")
)
record: dict[str, Any] = {
"mmsi": mmsi,
"received_at": received_at,
"_message_type": message_type or None,
"_source_message_id": item.get("MessageID") or item.get("message_id"),
"_raw_payload": item,
}
lat = _as_float(_pick(body, "Latitude", "lat", "latitude"))
lon = _as_float(_pick(body, "Longitude", "lon", "lng", "longitude"))
if lat is not None and lon is not None:
if not (-90 <= lat <= 90 and -180 <= lon <= 180):
return None
record.update(
{
"lat": lat,
"lon": lon,
"sog": _as_float(_pick(body, "Sog", "SOG", "speedOverGround")),
"cog": _as_float(_pick(body, "Cog", "COG", "courseOverGround")),
"heading": _as_int(_pick(body, "TrueHeading", "Heading", "heading")),
"nav_status": _as_int(_pick(body, "NavigationalStatus", "nav_status")),
}
)
vessel_type = _as_int(_pick(body, "Type", "ShipType", "vessel_type"))
record.update(
{
"name": ship_name,
"callsign": _pick(body, "CallSign", "callsign"),
"imo": _as_int(_pick(body, "ImoNumber", "IMO", "imo")),
"vessel_type": vessel_type,
"vessel_type_name": _pick(body, "TypeName", "ShipTypeName", "vessel_type_name")
or normalize_vessel_type_name(vessel_type),
"length": _as_float(_pick(body, "DimensionToBow", "Length", "length")),
"width": _as_float(_pick(body, "DimensionToPort", "Width", "width")),
}
)
return record
def _pick(item: dict[str, Any], *keys: str) -> Any:
for key in keys:
if key in item and item[key] not in (None, ""):
return item[key]
return None
def _clean_text(value: Any) -> str | None:
if value in (None, ""):
return None
text = str(value).strip()
return text or None
def _as_float(value: Any) -> float | None:
try:
if value in (None, ""):
return None
return float(value)
except (TypeError, ValueError):
return None
def _as_int(value: Any) -> int | None:
try:
if value in (None, ""):
return None
return int(float(value))
except (TypeError, ValueError):
return None
def _parse_datetime(value: Any) -> datetime | None:
if isinstance(value, datetime):
return value if value.tzinfo else value.replace(tzinfo=UTC)
if not value:
return None
if isinstance(value, (int, float)):
timestamp = float(value)
if timestamp > 10_000_000_000:
timestamp /= 1000
return datetime.fromtimestamp(timestamp, UTC)
if isinstance(value, str):
try:
parsed = datetime.fromisoformat(value.replace("Z", "+00:00"))
return parsed if parsed.tzinfo else parsed.replace(tzinfo=UTC)
except ValueError:
return None
return None

View File

@@ -4,15 +4,22 @@ import asyncio
from abc import ABC, abstractmethod
from typing import Dict, List, Any, Optional
from datetime import UTC, datetime
from time import perf_counter
from urllib.parse import urlparse
import httpx
from sqlalchemy import select, text
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.collected_data_fields import build_dynamic_metadata, get_record_field
from app.core.config import settings
from app.core.countries import normalize_country
from app.core.logging import get_logger
from app.core.time import to_iso8601_utc
from app.core.websocket.broadcaster import broadcaster
from app.services.business_logs import emit_business_log, exception_context
from app.services.earth_layer_adapters import get_earth_update_layers_for_source
logger = get_logger(__name__, service="collector")
class BaseCollector(ABC):
@@ -31,6 +38,7 @@ class BaseCollector(ABC):
self._datasource_id = 1
self._resolved_url: Optional[str] = None
self._last_broadcast_progress: Optional[int] = None
self._last_save_summary: dict[str, int] = {}
async def resolve_url(self, db: AsyncSession) -> None:
from app.core.data_sources import get_data_sources_config
@@ -54,6 +62,11 @@ class BaseCollector(ABC):
"task_id": self._current_task.id,
"status": self._current_task.status,
"phase": self._current_task.phase,
"phase_progress": self._current_task.phase_progress,
"phase_message": self._current_task.phase_message,
"phase_current": self._current_task.phase_current,
"phase_total": self._current_task.phase_total,
"phase_unit": self._current_task.phase_unit,
"progress": progress,
"records_processed": self._current_task.records_processed,
"total_records": self._current_task.total_records,
@@ -80,12 +93,52 @@ class BaseCollector(ABC):
await self._publish_task_update(force=force)
async def set_phase(self, phase: str):
async def set_phase(self, phase: str, *, message: str | None = None, reset_progress: bool = True):
if self._current_task and self._db_session:
self._current_task.phase = phase
self._current_task.phase_message = message
if reset_progress:
self._current_task.phase_progress = None
self._current_task.phase_current = None
self._current_task.phase_total = None
self._current_task.phase_unit = None
await self._db_session.commit()
await self._publish_task_update(force=True)
async def update_phase_progress(
self,
*,
current: int | None = None,
total: int | None = None,
unit: str | None = None,
message: str | None = None,
progress: float | None = None,
commit: bool = False,
force: bool = False,
):
"""Update progress for the current phase without changing task totals."""
if not self._current_task or not self._db_session:
return
if progress is None and current is not None and total and total > 0:
progress = (current / total) * 100
if progress is not None:
self._current_task.phase_progress = max(0.0, min(float(progress), 100.0))
if current is not None:
self._current_task.phase_current = max(0, int(current))
if total is not None:
self._current_task.phase_total = max(0, int(total))
if unit is not None:
self._current_task.phase_unit = unit
if message is not None:
self._current_task.phase_message = message
if commit:
await self._db_session.commit()
await self._publish_task_update(force=force)
@abstractmethod
async def fetch(self) -> List[Dict[str, Any]]:
"""Fetch raw data from source"""
@@ -141,7 +194,7 @@ class BaseCollector(ABC):
result = await db.execute(
select(DataSnapshot)
.where(DataSnapshot.source == self.name, DataSnapshot.is_current == True)
.where(DataSnapshot.source == self.name, DataSnapshot.is_current.is_(True))
.order_by(DataSnapshot.completed_at.desc().nullslast(), DataSnapshot.id.desc())
.limit(1)
)
@@ -227,19 +280,39 @@ class BaseCollector(ABC):
from app.models.data_snapshot import DataSnapshot
start_time = datetime.now(UTC)
started_at = perf_counter()
datasource_id = getattr(self, "_datasource_id", 1)
snapshot_id: Optional[int] = None
if not collector_registry.is_active(self.name):
await self._log_collection_event(
"collector.run.skipped_disabled",
"Collector skipped because it is disabled",
level="info",
context={"status": "skipped", "reason": "disabled"},
)
return {"status": "skipped", "reason": "Collector is disabled"}
task = CollectionTask(
datasource_id=datasource_id,
status="running",
phase="queued",
started_at=start_time,
)
db.add(task)
task = self._current_task if isinstance(self._current_task, CollectionTask) else None
if task is None:
task = CollectionTask(
datasource_id=datasource_id,
source=self.name,
task_type="collect",
status="running",
phase="queued",
started_at=start_time,
)
db.add(task)
else:
task.datasource_id = datasource_id
task.source = task.source or self.name
task.task_type = task.task_type or "collect"
task.status = "running"
task.phase = "queued"
task.started_at = task.started_at or start_time
task.completed_at = None
task.error_message = None
await db.commit()
task_id = task.id
@@ -249,31 +322,103 @@ class BaseCollector(ABC):
await self.resolve_url(db)
await self._publish_task_update(force=True)
await self._log_collection_event(
"collector.run.started",
"Collector run started",
context={"status": "running", "task_id": task_id},
)
try:
await self.set_phase("fetching")
phase_started_at = perf_counter()
await self.set_phase("fetching", message="正在拉取原始数据")
await self._log_collection_event(
"collector.phase.fetching.start",
"Collector fetch phase started",
context={"task_id": task_id, "snapshot_id": snapshot_id},
)
raw_data = await self.fetch()
task.total_records = len(raw_data)
await db.commit()
await self._publish_task_update(force=True)
await self._log_collection_event(
"collector.phase.fetching.success",
"Collector fetch phase completed",
context={
"task_id": task_id,
"raw_count": len(raw_data),
"duration_ms": self._duration_ms(phase_started_at),
},
)
if self.fail_on_empty and not raw_data:
raise RuntimeError(f"Collector {self.name} returned no data")
await self.set_phase("transforming")
phase_started_at = perf_counter()
await self.set_phase("transforming", message="正在转换采集数据")
await self._log_collection_event(
"collector.phase.transforming.start",
"Collector transform phase started",
context={"task_id": task_id, "raw_count": len(raw_data)},
)
data = self.transform(raw_data)
await self._log_collection_event(
"collector.phase.transforming.success",
"Collector transform phase completed",
context={
"task_id": task_id,
"raw_count": len(raw_data),
"transformed_count": len(data),
"duration_ms": self._duration_ms(phase_started_at),
},
)
snapshot_id = await self._create_snapshot(db, task_id, data, start_time)
await self.set_phase("saving")
phase_started_at = perf_counter()
await self.set_phase("saving", message="正在保存采集数据")
await self._log_collection_event(
"collector.phase.saving.start",
"Collector save phase started",
context={"task_id": task_id, "snapshot_id": snapshot_id, "transformed_count": len(data)},
)
records_count = await self._save_data(db, data, task_id=task_id, snapshot_id=snapshot_id)
await self._log_collection_event(
"collector.phase.saving.success",
"Collector save phase completed",
context={
"task_id": task_id,
"snapshot_id": snapshot_id,
"saved_count": records_count,
**self._last_save_summary,
"duration_ms": self._duration_ms(phase_started_at),
},
)
task.status = "success"
task.phase = "completed"
task.phase_progress = 100.0
task.phase_message = "采集完成"
task.phase_current = records_count
task.phase_total = records_count
task.phase_unit = "records"
task.records_processed = records_count
task.progress = 100.0
task.completed_at = datetime.now(UTC)
await db.commit()
await self._publish_task_update(force=True)
await self._log_collection_event(
"collector.run.completed",
"Collector run completed",
context={
"status": "success",
"task_id": task_id,
"snapshot_id": snapshot_id,
"raw_count": len(raw_data),
"transformed_count": len(data),
"saved_count": records_count,
**self._last_save_summary,
"duration_ms": self._duration_ms(started_at),
},
)
return {
"status": "success",
@@ -285,6 +430,7 @@ class BaseCollector(ABC):
await db.rollback()
task.status = "cancelled"
task.phase = "cancelled"
task.phase_message = "采集已取消"
task.error_message = "Collection cancelled by operator and rolled back"
task.completed_at = datetime.now(UTC)
if snapshot_id is not None:
@@ -296,11 +442,23 @@ class BaseCollector(ABC):
)
await db.commit()
await self._publish_task_update(force=True)
await self._log_collection_event(
"collector.run.cancelled",
"Collector run cancelled",
level="warning",
context={
"status": "cancelled",
"task_id": task_id,
"snapshot_id": snapshot_id,
"duration_ms": self._duration_ms(started_at),
},
)
raise
except Exception as e:
await db.rollback()
task.status = "failed"
task.phase = "failed"
task.phase_message = str(e)
task.error_message = str(e)
task.completed_at = datetime.now(UTC)
if snapshot_id is not None:
@@ -311,6 +469,20 @@ class BaseCollector(ABC):
snapshot.summary = {"error": str(e)}
await db.commit()
await self._publish_task_update(force=True)
await self._log_collection_event(
"collector.run.failed",
"Collector run failed",
level="error",
context=exception_context(
e,
{
"status": "failed",
"task_id": task_id,
"snapshot_id": snapshot_id,
"duration_ms": self._duration_ms(started_at),
},
),
)
return {
"status": "failed",
@@ -331,6 +503,7 @@ class BaseCollector(ABC):
from app.models.data_snapshot import DataSnapshot
if not data:
self._last_save_summary = {"created": 0, "updated": 0, "unchanged": 0, "deleted": 0}
if snapshot_id is not None:
snapshot = await db.get(DataSnapshot, snapshot_id)
if snapshot:
@@ -353,7 +526,7 @@ class BaseCollector(ABC):
select(CollectedData)
.where(
CollectedData.source == self.name,
CollectedData.is_current == True,
CollectedData.is_current.is_(True),
)
.order_by(CollectedData.entity_key.asc(), CollectedData.collected_at.desc().nullslast(), CollectedData.id.desc())
)
@@ -477,11 +650,51 @@ class BaseCollector(ABC):
"unchanged": unchanged_count,
"deleted": len(deleted_keys),
}
self._last_save_summary = {
"created": created_count,
"updated": updated_count,
"unchanged": unchanged_count,
"deleted": len(deleted_keys),
}
else:
self._last_save_summary = {
"created": created_count,
"updated": updated_count,
"unchanged": unchanged_count,
"deleted": 0,
}
await db.commit()
await self.update_progress(len(data), force=True)
return records_added
@staticmethod
def _duration_ms(started_at: float) -> int:
return int((perf_counter() - started_at) * 1000)
async def _log_collection_event(
self,
event: str,
message: str,
*,
level: str = "info",
context: Dict[str, Any] | None = None,
) -> None:
await emit_business_log(
logger,
event=event,
message=message,
category="collector",
level=level,
service="collector",
module=__name__,
context={
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
**(context or {}),
},
)
async def save(self, db: AsyncSession, data: List[Dict[str, Any]]) -> int:
"""Save data to database (legacy method, use _save_data instead)"""
return await self._save_data(db, data)
@@ -494,10 +707,65 @@ class HTTPCollector(BaseCollector):
headers: Dict[str, str] = {}
async def fetch(self) -> List[Dict[str, Any]]:
started_at = perf_counter()
request_host = urlparse(self.base_url).netloc
await emit_business_log(
logger,
event="collector.http.fetch.start",
message="Collector HTTP request started",
category="collector",
service="collector",
module=__name__,
context={
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"url_host": request_host,
},
)
async with httpx.AsyncClient(timeout=60.0) as client:
response = await client.get(self.base_url, headers=self.headers)
response.raise_for_status()
return self.parse_response(response.json())
try:
response = await client.get(self.base_url, headers=self.headers)
response.raise_for_status()
payload = response.json()
parsed = self.parse_response(payload)
await emit_business_log(
logger,
event="collector.http.fetch.success",
message="Collector HTTP request completed",
category="collector",
service="collector",
module=__name__,
context={
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"url_host": request_host,
"status_code": response.status_code,
"response_bytes": len(response.content or b""),
"parsed_count": len(parsed),
"duration_ms": BaseCollector._duration_ms(started_at),
},
)
return parsed
except Exception as exc:
await emit_business_log(
logger,
event="collector.http.fetch.failed",
message="Collector HTTP request failed",
category="collector",
level="error",
service="collector",
module=__name__,
context=exception_context(
exc,
{
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"url_host": request_host,
"duration_ms": BaseCollector._duration_ms(started_at),
},
),
)
raise
@abstractmethod
def parse_response(self, response: Dict[str, Any]) -> List[Dict[str, Any]]:

View File

@@ -13,7 +13,13 @@ from sqlalchemy.ext.asyncio import AsyncSession
from app.models.bgp_anomaly import BGPAnomaly
from app.models.bgp_observation import BGPObservation
from app.models.collected_data import CollectedData
from app.services.bgp_collector_locations import (
RIPE_RIS_COLLECTOR_COORDS,
get_bgp_collector_location_dict,
)
from app.services.bgp_event_locations import resolve_bgp_event_geo_dict
from app.services.bgp_incidents import create_bgp_incidents_for_anomalies
from app.services.earth_layer_cache import invalidate_earth_layer_cache_for_source
from app.services.bgp_detectors import (
detect_mass_withdrawal_anomalies,
detect_more_specific_burst_anomalies,
@@ -23,32 +29,17 @@ from app.services.bgp_detectors import (
)
from app.services.bgp_enrichment import enrich_bgp_events_for_batch, extract_bgp_network_fields
RIPE_RIS_COLLECTOR_COORDS: dict[str, dict[str, Any]] = {
"rrc00": {"city": "Amsterdam", "country": "Netherlands", "latitude": 52.3676, "longitude": 4.9041},
"rrc01": {"city": "London", "country": "United Kingdom", "latitude": 51.5072, "longitude": -0.1276},
"rrc03": {"city": "Amsterdam", "country": "Netherlands", "latitude": 52.3676, "longitude": 4.9041},
"rrc04": {"city": "Geneva", "country": "Switzerland", "latitude": 46.2044, "longitude": 6.1432},
"rrc05": {"city": "Vienna", "country": "Austria", "latitude": 48.2082, "longitude": 16.3738},
"rrc06": {"city": "Otemachi", "country": "Japan", "latitude": 35.686, "longitude": 139.7671},
"rrc07": {"city": "Stockholm", "country": "Sweden", "latitude": 59.3293, "longitude": 18.0686},
"rrc10": {"city": "Milan", "country": "Italy", "latitude": 45.4642, "longitude": 9.19},
"rrc11": {"city": "New York", "country": "United States", "latitude": 40.7128, "longitude": -74.006},
"rrc12": {"city": "Frankfurt", "country": "Germany", "latitude": 50.1109, "longitude": 8.6821},
"rrc13": {"city": "Moscow", "country": "Russia", "latitude": 55.7558, "longitude": 37.6173},
"rrc14": {"city": "Palo Alto", "country": "United States", "latitude": 37.4419, "longitude": -122.143},
"rrc15": {"city": "Sao Paulo", "country": "Brazil", "latitude": -23.5558, "longitude": -46.6396},
"rrc16": {"city": "Miami", "country": "United States", "latitude": 25.7617, "longitude": -80.1918},
"rrc18": {"city": "Barcelona", "country": "Spain", "latitude": 41.3874, "longitude": 2.1686},
"rrc19": {"city": "Johannesburg", "country": "South Africa", "latitude": -26.2041, "longitude": 28.0473},
"rrc20": {"city": "Zurich", "country": "Switzerland", "latitude": 47.3769, "longitude": 8.5417},
"rrc21": {"city": "Paris", "country": "France", "latitude": 48.8566, "longitude": 2.3522},
"rrc22": {"city": "Bucharest", "country": "Romania", "latitude": 44.4268, "longitude": 26.1025},
"rrc23": {"city": "Singapore", "country": "Singapore", "latitude": 1.3521, "longitude": 103.8198},
"rrc24": {"city": "Montevideo", "country": "Uruguay", "latitude": -34.9011, "longitude": -56.1645},
"rrc25": {"city": "Amsterdam", "country": "Netherlands", "latitude": 52.3676, "longitude": 4.9041},
"rrc26": {"city": "Dubai", "country": "United Arab Emirates", "latitude": 25.2048, "longitude": 55.2708},
}
# Re-exported for backward compatibility with anything that imports
# ``RIPE_RIS_COLLECTOR_COORDS`` from this module. New code should call
# ``app.services.bgp_collector_locations.get_bgp_collector_location_dict()``
# or ``resolve_bgp_collector_location()`` instead — those use the DB-backed
# collector-location cache.
__all__ = [
"RIPE_RIS_COLLECTOR_COORDS",
"normalize_bgp_event",
"save_bgp_observations_for_batch",
"create_bgp_anomalies_for_batch",
]
def _safe_int(value: Any) -> int | None:
@@ -131,7 +122,19 @@ def normalize_bgp_event(payload: dict[str, Any], *, project: str) -> dict[str, A
)
source_id = hashlib.sha1(source_material.encode("utf-8")).hexdigest()[:24]
collector_location = RIPE_RIS_COLLECTOR_COORDS.get(collector, {})
# Routes through the BGP event pipeline: source coords (if any) →
# collector inheritance. Returned dict keeps the legacy
# {city, country, latitude, longitude} keys plus richer
# {precision, source, needs_confirmation, matched_location_name, confidence}.
collector_location = resolve_bgp_event_geo_dict(
collector,
source_latitude=payload.get("latitude"),
source_longitude=payload.get("longitude"),
)
# Empty result (unknown collector & no source coords) — keep the
# downstream-expected dict shape so detectors / serializers don't crash.
if not collector_location:
collector_location = get_bgp_collector_location_dict(collector)
network_fields = extract_bgp_network_fields(prefix)
metadata = {
"project": project,
@@ -221,6 +224,8 @@ async def save_bgp_observations_for_batch(
if created:
await db.commit()
for source in {"ris_live_bgp", "bgpstream_bgp"}:
invalidate_earth_layer_cache_for_source(source)
return created

View File

@@ -1,15 +1,39 @@
"""CelesTrak TLE Collector
"""CelesTrak TLE Collector.
Collects satellite TLE (Two-Line Element) data from CelesTrak.org.
Free, no authentication required.
Collects the full active satellite GP element set from CelesTrak.
"""
import asyncio
import json
from typing import Dict, Any, List
from pathlib import Path
from time import perf_counter
from typing import Any, Dict, List
from urllib.parse import urlencode, urlparse
import httpx
from app.core.logging import get_logger
from app.core.satellite_tle import build_tle_lines_from_elements
from app.services.business_logs import emit_business_log, exception_context
from app.services.collectors.base import BaseCollector
from app.services.collectors.downloads import DownloadHTTPStatusError, ResumableFileDownloader
logger = get_logger(__name__, service="collector")
ACTIVE_GROUP = "active"
FALLBACK_GROUPS = (
"starlink",
"gps-ops",
"galileo",
"glonass",
"beidou",
"leo",
"geo",
"iridium-next",
)
FETCH_RETRY_ATTEMPTS = 3
FETCH_RETRY_BASE_DELAY_SECONDS = 0.8
CELESTRAK_NOT_UPDATED_MARKER = "GP data has not updated since your last successful"
class CelesTrakTLECollector(BaseCollector):
@@ -18,55 +42,359 @@ class CelesTrakTLECollector(BaseCollector):
module = "L3"
frequency_hours = 24
data_type = "satellite_tle"
_downloader = ResumableFileDownloader(
cache_namespace="celestrak",
default_accept="application/json",
)
@property
def base_url(self) -> str:
return self._resolved_url or ""
def _active_url(self) -> str:
return self._group_url(ACTIVE_GROUP)
def _group_url(self, group: str) -> str:
if not self.base_url:
raise RuntimeError("CelesTrak base URL is not configured")
return f"{self.base_url}?{urlencode({'GROUP': group, 'FORMAT': 'json'})}"
async def fetch(self) -> List[Dict[str, Any]]:
satellite_groups = [
"starlink",
"gps-ops",
"galileo",
"glonass",
"beidou",
"leo",
"geo",
"iridium-next",
]
url = self._active_url()
last_error: Exception | None = None
all_satellites = []
async with httpx.AsyncClient(timeout=120.0) as client:
for group in satellite_groups:
async with httpx.AsyncClient(timeout=180.0, follow_redirects=True) as client:
for attempt in range(1, FETCH_RETRY_ATTEMPTS + 1):
started_at = perf_counter()
try:
url = f"{self.base_url}?GROUP={group}&FORMAT=json"
response = await client.get(url)
await emit_business_log(
logger,
event="collector.celestrak.download.start",
message="CelesTrak active satellite download started",
category="collector",
service="collector",
module=__name__,
context={
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"group": ACTIVE_GROUP,
"attempt": attempt,
"url_host": urlparse(url).netloc,
},
)
body_path = await self._downloader.download_file(
client,
url,
extension=".json",
accept="application/json",
progress_callback=self._report_download_progress,
validate_existing=self._validate_json_file,
)
data = await self._load_downloaded_payload(body_path, url)
await emit_business_log(
logger,
event="collector.celestrak.download.success",
message="CelesTrak active satellite download completed",
category="collector",
service="collector",
module=__name__,
context={
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"group": ACTIVE_GROUP,
"attempt": attempt,
"record_count": len(data),
"duration_ms": self._duration_ms(started_at),
},
)
return data
except DownloadHTTPStatusError as exc:
if self._is_not_updated_response(exc):
cached_path = self._downloader.get_cached_file(
url,
".json",
validate_existing=self._validate_json_file,
)
if cached_path is not None:
data = await self._load_downloaded_payload(cached_path, url)
await emit_business_log(
logger,
event="collector.celestrak.download.cached_not_updated",
message="CelesTrak active satellite data has not changed; using cached download",
category="collector",
level="warning",
service="collector",
module=__name__,
context={
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"group": ACTIVE_GROUP,
"attempt": attempt,
"record_count": len(data),
"duration_ms": self._duration_ms(started_at),
},
)
return data
await emit_business_log(
logger,
event="collector.celestrak.download.not_updated_no_cache",
message="CelesTrak active satellite data has not changed; trying fallback groups",
category="collector",
level="warning",
service="collector",
module=__name__,
context=exception_context(
exc,
{
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"group": ACTIVE_GROUP,
"attempt": attempt,
"duration_ms": self._duration_ms(started_at),
},
),
)
return await self._fetch_fallback_groups(client, active_error=exc)
raise
except Exception as exc:
last_error = exc
is_final_attempt = attempt >= FETCH_RETRY_ATTEMPTS
await emit_business_log(
logger,
event=(
"collector.celestrak.download.failed"
if is_final_attempt
else "collector.celestrak.download.retry"
),
message=(
"CelesTrak active satellite download failed"
if is_final_attempt
else "CelesTrak active satellite download will retry"
),
category="collector",
level="error" if is_final_attempt else "warning",
service="collector",
module=__name__,
context=exception_context(
exc,
{
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"group": ACTIVE_GROUP,
"attempt": attempt,
"duration_ms": self._duration_ms(started_at),
},
),
)
if not is_final_attempt:
await asyncio.sleep(FETCH_RETRY_BASE_DELAY_SECONDS * attempt)
if response.status_code == 200:
data = response.json()
if isinstance(data, list):
for item in data:
if isinstance(item, dict):
item["_celestrak_group"] = group
all_satellites.extend(data)
print(f"CelesTrak: Fetched {len(data)} satellites from group '{group}'")
except Exception as e:
print(f"CelesTrak: Error fetching group '{group}': {e}")
raise RuntimeError(f"CelesTrak active satellite download failed after retries: {last_error}")
if not all_satellites:
return self._get_sample_data()
async def _fetch_fallback_groups(
self,
client: httpx.AsyncClient,
*,
active_error: DownloadHTTPStatusError,
) -> List[Dict[str, Any]]:
started_at = perf_counter()
records_by_norad: dict[str, Dict[str, Any]] = {}
group_counts: dict[str, int] = {}
print(f"CelesTrak: Total satellites fetched: {len(all_satellites)}")
await emit_business_log(
logger,
event="collector.celestrak.fallback_groups.start",
message="CelesTrak fallback group download started",
category="collector",
level="warning",
service="collector",
module=__name__,
context={
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"groups": list(FALLBACK_GROUPS),
"reason": "active_not_updated_without_cache",
},
)
# Return raw data - base.run() will call transform()
return all_satellites
try:
for group in FALLBACK_GROUPS:
group_url = self._group_url(group)
try:
body_path = await self._downloader.download_file(
client,
group_url,
extension=".json",
accept="application/json",
validate_existing=self._validate_json_file,
)
except DownloadHTTPStatusError as exc:
if not self._is_not_updated_response(exc):
raise RuntimeError(f"CelesTrak fallback group '{group}' download failed: {exc}") from exc
cached_path = self._downloader.get_cached_file(
group_url,
".json",
validate_existing=self._validate_json_file,
)
if cached_path is None:
raise RuntimeError(
f"CelesTrak fallback group '{group}' has not updated and no local cached copy is available"
) from exc
body_path = cached_path
group_records = await self._load_downloaded_payload(
body_path,
group_url,
query_group=group,
constellation_group=group,
)
group_counts[group] = len(group_records)
for item in group_records:
norad_cat_id = item.get("NORAD_CAT_ID")
if norad_cat_id is None:
continue
records_by_norad.setdefault(str(norad_cat_id), item)
except Exception as exc:
await emit_business_log(
logger,
event="collector.celestrak.fallback_groups.failed",
message="CelesTrak fallback group download failed",
category="collector",
level="error",
service="collector",
module=__name__,
context=exception_context(
exc,
{
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"groups": list(FALLBACK_GROUPS),
"completed_groups": list(group_counts),
"duration_ms": self._duration_ms(started_at),
},
),
)
raise RuntimeError(
"CelesTrak active data has not updated since this network's last successful download, "
"no active cache is available, and fallback group mode failed. Wait until CelesTrak "
"publishes the next GP update, restore the Planet download cache, or use Space-Track."
) from active_error
records = list(records_by_norad.values())
if not records:
raise RuntimeError("CelesTrak fallback group mode produced no satellite records")
await emit_business_log(
logger,
event="collector.celestrak.fallback_groups.success",
message="CelesTrak fallback group download completed",
category="collector",
level="warning",
service="collector",
module=__name__,
context={
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"groups": list(FALLBACK_GROUPS),
"group_counts": group_counts,
"record_count": len(records),
"duration_ms": self._duration_ms(started_at),
},
)
return records
async def _load_downloaded_payload(
self,
body_path: Path,
url: str,
*,
query_group: str = ACTIVE_GROUP,
constellation_group: str | None = None,
) -> List[Dict[str, Any]]:
try:
data = self._load_active_payload(body_path)
except RuntimeError as exc:
await self._log_parse_failure(exc)
raise
for item in data:
item["_celestrak_query_group"] = query_group
item["_celestrak_source_url"] = url
if constellation_group:
item["_celestrak_group"] = constellation_group
return data
@staticmethod
def _is_not_updated_response(exc: DownloadHTTPStatusError) -> bool:
return exc.status_code == 403 and CELESTRAK_NOT_UPDATED_MARKER in exc.body
@staticmethod
def _duration_ms(started_at: float) -> int:
return int((perf_counter() - started_at) * 1000)
async def _report_download_progress(self, downloaded: int, total: int | None) -> None:
if total and total > 0:
await self.update_phase_progress(
current=min(downloaded, total),
total=total,
unit="bytes",
message=f"正在下载 CelesTrak active 卫星数据 {downloaded}/{total} bytes",
commit=True,
)
@staticmethod
def _validate_json_file(path: Path) -> bool:
try:
data = json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError, UnicodeDecodeError):
return False
return isinstance(data, list)
async def _log_parse_failure(self, exc: Exception) -> None:
await emit_business_log(
logger,
event="collector.celestrak.parse.failed",
message="CelesTrak active satellite JSON parsing failed",
category="collector",
level="error",
service="collector",
module=__name__,
context=exception_context(
exc,
{
"collector_name": self.name,
"datasource_id": getattr(self, "_datasource_id", None),
"group": ACTIVE_GROUP,
},
),
)
def _load_active_payload(self, path: Path) -> List[Dict[str, Any]]:
try:
raw = json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError, UnicodeDecodeError) as exc:
raise RuntimeError(f"CelesTrak active payload is not valid JSON: {exc}") from exc
if not isinstance(raw, list):
raise RuntimeError("CelesTrak active payload is not a JSON array")
records: List[Dict[str, Any]] = []
invalid_count = 0
for item in raw:
if isinstance(item, dict) and item.get("NORAD_CAT_ID") is not None:
records.append(item)
else:
invalid_count += 1
if invalid_count:
raise RuntimeError(f"CelesTrak active payload contains {invalid_count} invalid record(s)")
if not records:
raise RuntimeError("CelesTrak active payload contains no satellite records")
return records
def transform(self, raw_data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
transformed = []
for item in raw_data:
norad_cat_id = item.get("NORAD_CAT_ID")
tle_line1, tle_line2 = build_tle_lines_from_elements(
norad_cat_id=item.get("NORAD_CAT_ID"),
norad_cat_id=norad_cat_id,
epoch=item.get("EPOCH"),
inclination=item.get("INCLINATION"),
raan=item.get("RA_OF_ASC_NODE"),
@@ -75,14 +403,18 @@ class CelesTrakTLECollector(BaseCollector):
mean_anomaly=item.get("MEAN_ANOMALY"),
mean_motion=item.get("MEAN_MOTION"),
)
constellation_group = self._infer_constellation_group(item)
transformed.append(
{
"source_id": str(norad_cat_id),
"name": item.get("OBJECT_NAME", "Unknown"),
"reference_date": item.get("EPOCH", ""),
"metadata": {
"constellation_group": item.get("_celestrak_group"),
"norad_cat_id": item.get("NORAD_CAT_ID"),
"constellation_group": constellation_group,
"celestrak_query_group": item.get("_celestrak_query_group") or ACTIVE_GROUP,
"celestrak_source_url": item.get("_celestrak_source_url"),
"norad_cat_id": norad_cat_id,
"international_designator": item.get("OBJECT_ID"),
"epoch": item.get("EPOCH"),
"mean_motion": item.get("MEAN_MOTION"),
@@ -105,6 +437,19 @@ class CelesTrakTLECollector(BaseCollector):
)
return transformed
@staticmethod
def _infer_constellation_group(item: Dict[str, Any]) -> str | None:
explicit_group = str(item.get("_celestrak_group") or "").strip().lower()
if explicit_group and explicit_group != ACTIVE_GROUP:
return explicit_group
name = str(item.get("OBJECT_NAME") or "").strip().upper()
if name.startswith("STARLINK"):
return "starlink"
if name.startswith("IRIDIUM"):
return "iridium-next"
return None
def _get_sample_data(self) -> List[Dict[str, Any]]:
return [
{

View File

@@ -4,7 +4,7 @@ from __future__ import annotations
import hashlib
import json
import tempfile
import os
import time
from datetime import UTC, datetime
from pathlib import Path
@@ -17,6 +17,31 @@ ProgressCallback = Callable[[int, int | None], Awaitable[None]]
ValidateCallback = Callable[[Path], bool]
class DownloadHTTPStatusError(RuntimeError):
"""HTTP status error that keeps the upstream response body for caller-specific handling."""
def __init__(self, *, url: str, status_code: int, body: str) -> None:
self.url = url
self.status_code = status_code
self.body = body
preview = body.strip().replace("\r", " ").replace("\n", " ")[:240]
suffix = f": {preview}" if preview else ""
super().__init__(f"HTTP {status_code} while downloading {url}{suffix}")
def default_download_cache_root() -> Path:
configured = os.getenv("PLANET_DOWNLOAD_CACHE_DIR")
if configured:
return Path(configured).expanduser()
planet_cache = os.getenv("PLANET_CACHE_DIR")
if planet_cache:
return Path(planet_cache).expanduser() / "downloads"
xdg_cache = os.getenv("XDG_CACHE_HOME")
if xdg_cache:
return Path(xdg_cache).expanduser() / "planet" / "downloads"
return Path.home() / ".cache" / "planet" / "downloads"
class ResumableFileDownloader:
"""Download files with cache validators and byte-range resume support."""
@@ -26,8 +51,9 @@ class ResumableFileDownloader:
cache_namespace: str,
user_agent: str = "Planet-Intelligence-System/1.0 (Python/collector)",
default_accept: str = "*/*",
cache_root: Path | None = None,
) -> None:
self._cache_dir = Path(tempfile.gettempdir()) / "planet-download-cache" / cache_namespace
self._cache_dir = (cache_root or default_download_cache_root()) / cache_namespace
self._user_agent = user_agent
self._default_accept = default_accept
@@ -43,6 +69,25 @@ class ResumableFileDownloader:
meta_path = self._cache_dir / f"{key}.meta.json"
return final_path, part_path, meta_path
def cached_file_path(self, url: str, extension: str) -> Path:
final_path, _, _ = self._cache_paths(url, extension)
return final_path
def get_cached_file(
self,
url: str,
extension: str,
*,
validate_existing: ValidateCallback | None = None,
) -> Path | None:
final_path = self.cached_file_path(url, extension)
if not final_path.exists():
return None
if validate_existing and not validate_existing(final_path):
final_path.unlink(missing_ok=True)
return None
return final_path
@staticmethod
def _load_meta(meta_path: Path) -> dict[str, Any]:
if not meta_path.exists():
@@ -140,7 +185,9 @@ class ResumableFileDownloader:
if progress_callback and expected_size and expected_size > 0:
await progress_callback(expected_size, expected_size)
return final_path
response.raise_for_status()
if response.status_code >= 400:
body = (await response.aread()).decode("utf-8", errors="replace")
raise DownloadHTTPStatusError(url=url, status_code=response.status_code, body=body)
if response.status_code == 206 and resume_from > 0:
mode = "ab"

View File

@@ -108,6 +108,11 @@ class IPtoASNPrefixGeoCollector(BaseCollector):
self._current_task.total_records = total_expected
self._current_task.records_processed = 0
self._current_task.progress = 0.0
self._current_task.phase_progress = 0.0
self._current_task.phase_message = "正在下载 IPtoASN 数据"
self._current_task.phase_current = 0
self._current_task.phase_total = total_expected
self._current_task.phase_unit = "bytes"
await self._db_session.commit()
await self._publish_task_update(force=True)
@@ -135,7 +140,14 @@ class IPtoASNPrefixGeoCollector(BaseCollector):
return
last_emit["value"] = aggregated
last_emit["t"] = now
await self.update_progress(min(aggregated, total_expected), commit=True)
current = min(aggregated, total_expected)
await self.update_phase_progress(
current=current,
total=total_expected,
unit="bytes",
message="正在下载 IPtoASN 数据",
)
await self.update_progress(current, commit=True)
batches = await asyncio.gather(
*(
@@ -148,6 +160,12 @@ class IPtoASNPrefixGeoCollector(BaseCollector):
)
)
if total_expected > 0:
await self.update_phase_progress(
current=total_expected,
total=total_expected,
unit="bytes",
message="IPtoASN 数据下载完成",
)
await self.update_progress(total_expected, commit=True, force=True)
rows: list[dict[str, Any]] = []

View File

@@ -0,0 +1,57 @@
from __future__ import annotations
from typing import Any
from app.services.collectors.base import BaseCollector
from app.services.earth_news_store import list_all_earth_news_records
class MediaNewsArchiveCollector(BaseCollector):
name = "media_news_archive"
priority = "P2"
module = "L4"
frequency_hours = 12
data_type = "news_item"
fail_on_empty = False
async def fetch(self) -> list[dict[str, Any]]:
if not self._db_session:
return []
records = await list_all_earth_news_records(self._db_session)
items: list[dict[str, Any]] = []
for record in records:
location_meta = dict(record.location_meta or {})
target = location_meta.get("target") if isinstance(location_meta.get("target"), dict) else {}
country = target.get("country")
city = target.get("city")
items.append(
{
"id": record.id,
"source_id": record.id,
"name": record.title,
"title": record.title,
"description": record.summary,
"country": country,
"city": city,
"latitude": record.latitude,
"longitude": record.longitude,
"reference_date": record.published_at,
"metadata": {
"url": record.url,
"source": record.source,
"feed_name": record.feed_name,
"region": record.region,
"homepage_url": record.homepage_url,
"published_at": record.published_at.isoformat() if record.published_at else None,
"location_label": record.location_label,
"location_source": record.location_source,
"verified": record.verified,
"location_meta": location_meta,
"first_seen_at": record.first_seen_at.isoformat() if record.first_seen_at else None,
"last_seen_at": record.last_seen_at.isoformat() if record.last_seen_at else None,
"resolved_at": record.resolved_at.isoformat() if record.resolved_at else None,
},
}
)
return items

View File

@@ -39,12 +39,23 @@ class NRODelegatedPrefixGeoCollector(BaseCollector):
self._current_task.total_records = total_expected
self._current_task.records_processed = 0
self._current_task.progress = 0.0
self._current_task.phase_progress = 0.0
self._current_task.phase_message = "正在下载 NRO delegated 数据"
self._current_task.phase_current = 0
self._current_task.phase_total = total_expected
self._current_task.phase_unit = "bytes"
await self._db_session.commit()
await self._publish_task_update(force=True)
async def on_progress(downloaded: int, total: int | None) -> None:
if not total or total <= 0:
return
await self.update_phase_progress(
current=min(downloaded, total),
total=total,
unit="bytes",
message="正在下载 NRO delegated 数据",
)
await self.update_progress(min(downloaded, total), commit=True)
body_path = await self._downloader.download_file(

View File

@@ -40,12 +40,23 @@ class OpenGeoFeedPrefixGeoCollector(BaseCollector):
self._current_task.total_records = total_expected
self._current_task.records_processed = 0
self._current_task.progress = 0.0
self._current_task.phase_progress = 0.0
self._current_task.phase_message = "正在下载 OpenGeoFeed 数据"
self._current_task.phase_current = 0
self._current_task.phase_total = total_expected
self._current_task.phase_unit = "bytes"
await self._db_session.commit()
await self._publish_task_update(force=True)
async def on_progress(downloaded: int, total: int | None) -> None:
if not total or total <= 0:
return
await self.update_phase_progress(
current=min(downloaded, total),
total=total,
unit="bytes",
message="正在下载 OpenGeoFeed 数据",
)
await self.update_progress(min(downloaded, total), commit=True)
body_path = await self._downloader.download_file(

View File

@@ -163,32 +163,64 @@ class TeleGeographyLandingPointCollector(BaseCollector):
data_type = "landing_point"
async def fetch(self) -> List[Dict[str, Any]]:
"""Fetch landing point data from GitHub mirror"""
url = self._resolved_url or ""
"""Fetch landing point data, falling back when the old mirror disappears."""
config = get_data_sources_config()
sources = [
self._resolved_url or "",
str(config.get_yaml_value("telegeography.landing_point_url") or ""),
str(config.get_yaml_value("arcgis.landing_point_url") or ""),
]
async with httpx.AsyncClient(timeout=60.0) as client:
response = await client.get(url)
response.raise_for_status()
return self.parse_response(response.json())
last_error: Exception | None = None
async with httpx.AsyncClient(timeout=60.0, follow_redirects=True) as client:
for url in dict.fromkeys(source for source in sources if source):
try:
params = (
{"where": "1=1", "outFields": "*", "returnGeometry": "true", "f": "geojson"}
if "FeatureServer" in url or url.endswith("/query")
else None
)
response = await client.get(url, params=params)
response.raise_for_status()
records = self.parse_response(response.json())
if records:
return records
except Exception as exc:
last_error = exc
continue
def parse_response(self, data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
if last_error:
raise last_error
return self._get_sample_data()
def parse_response(self, data: List[Dict[str, Any]] | Dict[str, Any]) -> List[Dict[str, Any]]:
"""Parse landing point data"""
result = []
items = data.get("features", []) if isinstance(data, dict) else data
for item in data:
for item in items:
props = item.get("properties", {}) if isinstance(item, dict) else {}
geometry = item.get("geometry", {}) if isinstance(item, dict) else {}
source = props or item
coords = geometry.get("coordinates", []) if isinstance(geometry, dict) else []
longitude = coords[0] if len(coords) > 0 else source.get("longitude")
latitude = coords[1] if len(coords) > 1 else source.get("latitude")
source_id = source.get("id") or source.get("OBJECTID") or source.get("city_id") or ""
try:
entry = {
"source_id": f"telegeo_lp_{item.get('id', '')}",
"name": item.get("name", "Unknown"),
"country": item.get("country", "Unknown"),
"city": item.get("city", item.get("name", "")),
"latitude": str(item.get("latitude", "")),
"longitude": str(item.get("longitude", "")),
"source_id": f"telegeo_lp_{source_id}",
"name": source.get("name", source.get("Name", "Unknown")),
"country": source.get("country", "Unknown"),
"city": source.get("city", source.get("Name", source.get("name", ""))),
"latitude": str(latitude or ""),
"longitude": str(longitude or ""),
"value": "",
"unit": "",
"metadata": {
"cable_count": len(item.get("cables", [])),
"url": item.get("url"),
"cable_count": len(source.get("cables", [])),
"url": source.get("url"),
"objectid": source.get("OBJECTID"),
"city_id": source.get("city_id"),
},
"reference_date": datetime.now(UTC).strftime("%Y-%m-%d"),
}

View File

@@ -0,0 +1,279 @@
"""BarentsWatch AIS collector for vessel tracking."""
from datetime import UTC, datetime
from typing import Any
import httpx
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.time import to_iso8601_utc
from app.core.websocket.broadcaster import broadcaster
from app.services.barentswatch import (
BARENTSWATCH_LATEST_URL,
fetch_barentswatch_access_token,
resolve_barentswatch_config,
)
from app.services.collectors.base import BaseCollector
from app.services.vessel_ais_aggregation import (
BARENTSWATCH_DELIVERY_MODE,
BARENTSWATCH_TRANSPORT,
record_vessel_ais_observation,
update_ais_source_health,
)
from app.services.vessel_types import normalize_vessel_type_name
class VesselAISCollector(BaseCollector):
"""Collect latest AIS positions and append them to vessel tables."""
name = "barentswatch_vessels"
priority = "P1"
module = "L4"
frequency_hours = 1
data_type = "vessel_ais"
@property
def base_url(self) -> str:
return self._resolved_url or BARENTSWATCH_LATEST_URL
async def _get_access_token(self, client: httpx.AsyncClient) -> str | None:
config = await resolve_barentswatch_config(self._db_session)
return await fetch_barentswatch_access_token(client, config)
async def fetch(self) -> list[dict[str, Any]]:
async with httpx.AsyncClient(timeout=60.0) as client:
headers: dict[str, str] = {}
token = await self._get_access_token(client)
if token:
headers["Authorization"] = f"Bearer {token}"
response = await client.get(self.base_url, headers=headers)
if response.status_code == 401 and not token:
return self._get_sample_data()
response.raise_for_status()
payload = response.json()
if isinstance(payload, list):
return [item for item in payload if isinstance(item, dict)]
if isinstance(payload, dict):
for key in ("features", "data", "items", "vessels"):
value = payload.get(key)
if isinstance(value, list):
if key == "features":
return [
{
**(item.get("properties") or {}),
"geometry": item.get("geometry"),
}
for item in value
if isinstance(item, dict)
]
return [item for item in value if isinstance(item, dict)]
return self._get_sample_data()
def transform(self, raw_data: list[dict[str, Any]]) -> list[dict[str, Any]]:
transformed = []
for item in raw_data:
record = self._normalize_record(item)
if record:
transformed.append(record)
return transformed
async def _save_data(
self,
db: AsyncSession,
data: list[dict[str, Any]],
task_id: int | None = None,
snapshot_id: int | None = None,
) -> int:
now = datetime.now(UTC)
records_added = 0
for index, item in enumerate(data):
observed_at = item.get("received_at") or now
await record_vessel_ais_observation(
db,
source=self.name,
normalized_payload=item,
raw_payload=item,
delivery_mode=BARENTSWATCH_DELIVERY_MODE,
transport=BARENTSWATCH_TRANSPORT,
observed_at=observed_at,
collected_at=now,
)
records_added += 1
if (index + 1) % 1000 == 0:
await self.update_progress(index + 1, commit=True)
latest_observed_at = max(
(item.get("received_at") for item in data if item.get("received_at")),
default=now,
)
await update_ais_source_health(
db,
source=self.name,
connection_state="connected",
observed_count=len(data),
last_seen_at=latest_observed_at,
last_success_at=now if data else None,
lag_seconds=max((now - latest_observed_at).total_seconds(), 0),
)
await db.commit()
await self._broadcast_vessel_snapshot(data)
await self.update_progress(records_added, force=True)
return records_added
async def _broadcast_vessel_snapshot(self, data: list[dict[str, Any]]) -> None:
"""Push REST collector updates through the same realtime vessel channel."""
if not data:
return
batch_size = 500
for offset in range(0, len(data), batch_size):
batch = data[offset : offset + batch_size]
await broadcaster.broadcast_custom(
"vessels",
{
"action": "upsert",
"source": self.name,
"created": True,
"vessels": [
{
"mmsi": item.get("mmsi"),
"mmsi_display": str(item.get("mmsi")) if item.get("mmsi") is not None else None,
"name": item.get("name"),
"callsign": item.get("callsign"),
"lat": item.get("lat"),
"lon": item.get("lon"),
"sog": item.get("sog"),
"cog": item.get("cog"),
"heading": item.get("heading"),
"nav_status": item.get("nav_status"),
"vessel_type": item.get("vessel_type"),
"vessel_type_name": item.get("vessel_type_name"),
"received_at": to_iso8601_utc(item.get("received_at")),
}
for item in batch
],
},
)
def _normalize_record(self, item: dict[str, Any]) -> dict[str, Any] | None:
mmsi = _as_int(_pick(item, "mmsi", "MMSI", "Mmsi"))
lat = _as_float(_pick(item, "lat", "latitude", "Latitude"))
lon = _as_float(_pick(item, "lon", "lng", "longitude", "Longitude"))
geometry = item.get("geometry")
coordinates = geometry.get("coordinates") if isinstance(geometry, dict) else None
if (lat is None or lon is None) and isinstance(coordinates, list) and len(coordinates) >= 2:
lon = _as_float(coordinates[0])
lat = _as_float(coordinates[1])
if mmsi is None or lat is None or lon is None:
return None
if not (-90 <= lat <= 90 and -180 <= lon <= 180):
return None
vessel_type = _as_int(_pick(item, "vessel_type", "shipType", "ship_type", "ShipType"))
vessel_type_name = (
_pick(item, "vessel_type_name", "shipTypeName", "ship_type_name", "VesselTypeName")
or normalize_vessel_type_name(vessel_type)
)
received_at = _parse_datetime(_pick(item, "received_at", "timestamp", "time", "msgtime"))
return {
"mmsi": mmsi,
"name": _pick(item, "name", "shipName", "ship_name", "Name"),
"callsign": _pick(item, "callsign", "callSign", "CallSign"),
"vessel_type": vessel_type,
"vessel_type_name": vessel_type_name,
"flag": _pick(item, "flag", "country", "Flag"),
"length": _as_float(_pick(item, "length", "shipLength", "Length")),
"width": _as_float(_pick(item, "width", "shipWidth", "Width")),
"draught": _as_float(_pick(item, "draught", "draft", "Draught")),
"imo": _as_int(_pick(item, "imo", "IMO", "imoNumber")),
"lat": lat,
"lon": lon,
"sog": _as_float(_pick(item, "sog", "speedOverGround", "SOG")),
"cog": _as_float(_pick(item, "cog", "courseOverGround", "COG")),
"heading": _as_int(_pick(item, "heading", "trueHeading", "Heading")),
"nav_status": _as_int(_pick(item, "nav_status", "navStatus", "NavigationalStatus")),
"received_at": received_at,
}
def _get_sample_data(self) -> list[dict[str, Any]]:
return [
{
"mmsi": 257123000,
"name": "OSLO TRADER",
"lat": 59.91,
"lon": 10.73,
"sog": 12.4,
"cog": 214,
"heading": 215,
"nav_status": 0,
"vessel_type": 70,
"vessel_type_name": "Cargo",
"flag": "NO",
"length": 185,
},
{
"mmsi": 257456000,
"name": "NORDIC FJORD",
"lat": 60.39,
"lon": 5.32,
"sog": 0.2,
"cog": 82,
"heading": 80,
"nav_status": 1,
"vessel_type": 60,
"vessel_type_name": "Passenger",
"flag": "NO",
"length": 126,
},
]
def _pick(item: dict[str, Any], *keys: str) -> Any:
for key in keys:
if key in item and item[key] not in (None, ""):
return item[key]
return None
def _as_float(value: Any) -> float | None:
try:
if value in (None, ""):
return None
return float(value)
except (TypeError, ValueError):
return None
def _as_int(value: Any) -> int | None:
try:
if value in (None, ""):
return None
return int(float(value))
except (TypeError, ValueError):
return None
def _parse_datetime(value: Any) -> datetime | None:
if isinstance(value, datetime):
return value if value.tzinfo else value.replace(tzinfo=UTC)
if not value:
return None
if isinstance(value, (int, float)):
timestamp = float(value)
if timestamp > 10_000_000_000:
timestamp /= 1000
return datetime.fromtimestamp(timestamp, UTC)
if isinstance(value, str):
try:
parsed = datetime.fromisoformat(value.replace("Z", "+00:00"))
return parsed if parsed.tzinfo else parsed.replace(tzinfo=UTC)
except ValueError:
return None
return None

View File

@@ -0,0 +1,886 @@
"""Compute-center location resolver, built on the shared location pipeline.
This module is a thin domain wrapper that wires up
:mod:`app.services.location` for compute centers:
SourceCoordinates
The online Nominatim step is intentionally reserved for the user-triggered
``collect-location`` flow. The regular GeoJSON endpoint runs during Earth
startup, so it must stay local and deterministic.
For the full design and the reason behind the abstraction (compute centers,
BGP collectors, BGP events, and future entities all share one pipeline),
see ``docs/technical/zh/location-pipeline-development.md``.
The ``ComputeCenterLocation`` dataclass and the public function signatures are
preserved verbatim so existing callers and tests do not need to change.
"""
from __future__ import annotations
from dataclasses import dataclass
from datetime import UTC, datetime
from functools import lru_cache
from typing import Any
import httpx
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.collected_data_fields import get_record_field
from app.models.collected_data import CollectedData
from app.models.compute_center_location import ComputeCenterLocationRecord
from app.services.location import (
LocationCandidate,
LocationPipeline,
LocationQuery,
NominatimResolver,
ResolverOutput,
SourceCoordinatesResolver,
build_default_nominatim_geocoder,
coerce_str,
normalize_country_text,
normalize_text,
parse_float,
)
ROR_SEARCH_URL = "https://api.ror.org/v2/organizations"
DEFAULT_ROR_USER_AGENT = "planet-earth-location-resolver/1.0"
DEFAULT_ROR_TIMEOUT_SECONDS = 8.0
RENDERABLE_PRECISIONS: tuple[str, ...] = ("precise", "site", "city")
FORBIDDEN_PRECISIONS: tuple[str, ...] = (
"country",
"estimated_country",
"country_major_compute_city",
"region",
"unknown",
)
# ── Public dataclasses ──────────────────────────────────────────────
@dataclass(frozen=True)
class ComputeCenterLocation:
latitude: float | None
longitude: float | None
location_precision: str
geography_mode: str
is_estimated: bool
estimated_reason: str | None = None
location_confidence: float | None = None
location_source: str | None = None
location_source_note: str | None = None
location_verified_at: str | None = None
matched_location_name: str | None = None
needs_confirmation: bool = False
city: str | None = None
region: str | None = None
country: str | None = None
@property
def is_renderable(self) -> bool:
if self.latitude in (None, 0.0) or self.longitude in (None, 0.0):
return False
return self.location_precision in RENDERABLE_PRECISIONS
def to_geojson_properties(self) -> dict[str, Any]:
return {
"latitude": self.latitude,
"longitude": self.longitude,
"location_precision": self.location_precision,
"geography_mode": self.geography_mode,
"is_estimated": self.is_estimated,
"estimated_reason": self.estimated_reason,
"location_confidence": self.location_confidence,
"location_source": self.location_source,
"location_source_note": self.location_source_note,
"location_verified_at": self.location_verified_at,
"matched_location_name": self.matched_location_name,
"needs_confirmation": self.needs_confirmation,
}
@dataclass(frozen=True)
class ResolutionDiagnostic:
failure_reason: str
attempted_queries: tuple[str, ...] = ()
record_id: int | None = None
source: str | None = None
source_id: str | None = None
name: str | None = None
country: str | None = None
city: str | None = None
site: str | None = None
operator: str | None = None
def to_dict(self) -> dict[str, Any]:
return {
"failure_reason": self.failure_reason,
"attempted_queries": list(self.attempted_queries),
"record_id": self.record_id,
"source": self.source,
"source_id": self.source_id,
"name": self.name,
"country": self.country,
"city": self.city,
"site": self.site,
"operator": self.operator,
}
@dataclass(frozen=True)
class ResolutionResult:
location: ComputeCenterLocation | None
diagnostic: ResolutionDiagnostic | None
@property
def is_resolved(self) -> bool:
return bool(self.location and self.location.is_renderable)
# ── Geocoder (kept at module level so tests can monkeypatch + cache_clear) ──
_geocode_online = build_default_nominatim_geocoder()
# ── Stored location cache ───────────────────────────────────────────
COMPUTE_CENTER_LOCATION_CACHE: dict[str, dict[str, Any]] = {}
def _cache_key(source: str | None, source_id: str | None) -> str:
return f"{coerce_str(source)}:{coerce_str(source_id)}"
def set_compute_center_location_cache(
locations: dict[str, dict[str, Any]],
) -> None:
COMPUTE_CENTER_LOCATION_CACHE.clear()
COMPUTE_CENTER_LOCATION_CACHE.update(
{coerce_str(key): dict(value) for key, value in locations.items()}
)
async def refresh_compute_center_location_cache(
session: AsyncSession,
) -> dict[str, dict[str, Any]]:
result = await session.execute(select(ComputeCenterLocationRecord))
records = result.scalars().all()
cache = {}
for record in records:
if not hasattr(record, "to_location_dict"):
continue
if not record.source or not record.source_id:
continue
cache[_cache_key(record.source, record.source_id)] = record.to_location_dict()
set_compute_center_location_cache(cache)
return cache
def get_compute_center_location_dict(
source: str | None,
source_id: str | None,
) -> dict[str, Any]:
return dict(COMPUTE_CENTER_LOCATION_CACHE.get(_cache_key(source, source_id), {}))
# ── Pipeline construction ──────────────────────────────────────────
@lru_cache(maxsize=512)
def _lookup_ror_organization(query: str) -> dict[str, Any] | None:
"""Lookup a research organization in ROR for user-triggered candidates."""
if not query:
return None
response = httpx.get(
ROR_SEARCH_URL,
params={"query": query},
headers={"User-Agent": DEFAULT_ROR_USER_AGENT},
timeout=DEFAULT_ROR_TIMEOUT_SECONDS,
)
response.raise_for_status()
payload = response.json()
items = payload.get("items") if isinstance(payload, dict) else None
if not isinstance(items, list) or not items:
return None
first = items[0]
if not isinstance(first, dict):
return None
organization = first.get("organization")
if isinstance(organization, dict):
return organization
return first
def _compute_center_ror_query_plan(
query: LocationQuery,
) -> list[tuple[str, tuple[str, ...]]]:
extra = query.extra or {}
raw_parts: list[tuple[str, str]] = [
("site", coerce_str(extra.get("site"))),
("operator", coerce_str(extra.get("operator"))),
("organization", coerce_str(extra.get("organization"))),
]
for field, value in tuple(raw_parts):
if "/" not in value:
continue
raw_parts.extend(
(field, part.strip())
for part in value.split("/")
if len(part.strip()) >= 3
)
plan: list[tuple[str, tuple[str, ...]]] = []
seen: set[str] = set()
for field, value in raw_parts:
key = normalize_text(value)
if not key or key in seen:
continue
seen.add(key)
plan.append((value, (field,)))
return plan
def _organization_label(organization: dict[str, Any], fallback: str) -> str:
names = organization.get("names")
if isinstance(names, list):
for name in names:
if not isinstance(name, dict):
continue
types = name.get("types")
if isinstance(types, list) and "ror_display" in types:
value = coerce_str(name.get("value"))
if value:
return value
for name in names:
if isinstance(name, dict):
value = coerce_str(name.get("value"))
if value:
return value
return fallback
class ROROrganizationResolver:
"""Resolve source-provided organization/site text through the open ROR API."""
name = "ror_organization_registry"
def __init__(
self,
*,
query_plan_builder=_compute_center_ror_query_plan,
lookup=lambda q: _lookup_ror_organization(q),
confidence: float = 0.68,
) -> None:
self._query_plan_builder = query_plan_builder
self._lookup = lookup
self._confidence = confidence
def resolve(self, query: LocationQuery):
from app.services.location import ResolverOutput
from app.services.location.text import parse_float
attempted: list[str] = []
candidates: list[LocationCandidate] = []
context_country = normalize_text(normalize_country_text(query.country))
for ror_query, matched_fields in self._query_plan_builder(query):
attempted.append(f"ror:{ror_query}")
try:
organization = self._lookup(ror_query)
except Exception:
continue
if not isinstance(organization, dict):
continue
locations = organization.get("locations")
if not isinstance(locations, list) or not locations:
continue
location = locations[0]
if not isinstance(location, dict):
continue
details = location.get("geonames_details")
if not isinstance(details, dict):
continue
latitude = parse_float(details.get("lat"))
longitude = parse_float(details.get("lng"))
if latitude in (None, 0.0) or longitude in (None, 0.0):
continue
country = normalize_country_text(details.get("country_name"))
if context_country and normalize_text(country) != context_country:
continue
city = coerce_str(details.get("name")) or None
region = coerce_str(details.get("country_subdivision_name")) or None
display_name = _organization_label(organization, ror_query)
ror_id = coerce_str(organization.get("id"))
geonames_id = location.get("geonames_id")
source_note = (
f"ROR organization match: {display_name}"
+ (f" ({ror_id})" if ror_id else "")
+ (f"; GeoNames {geonames_id}" if geonames_id else "")
)
candidates.append(
LocationCandidate(
latitude=latitude,
longitude=longitude,
display_name=display_name,
precision="city",
confidence=self._confidence,
query=ror_query,
source=self.name,
source_note=source_note,
matched_fields=matched_fields,
needs_confirmation=True,
city=city,
region=region,
country=country or query.country,
matched_location_name=display_name,
location_verified_at=None,
suggested_registry_entry=None,
)
)
return ResolverOutput(
candidates=tuple(candidates),
attempted_queries=tuple(attempted),
)
class StoredComputeCenterLocationResolver:
"""Resolve a compute center through the DB-backed current-location cache."""
name = "stored_compute_center_location"
def resolve(self, query: LocationQuery) -> ResolverOutput:
extra = query.extra or {}
stored = get_compute_center_location_dict(
coerce_str(extra.get("source")),
coerce_str(extra.get("source_id")),
)
if not stored:
return ResolverOutput()
latitude = parse_float(stored.get("latitude"))
longitude = parse_float(stored.get("longitude"))
if latitude in (None, 0.0) or longitude in (None, 0.0):
return ResolverOutput()
return ResolverOutput(
candidates=(
LocationCandidate(
latitude=latitude,
longitude=longitude,
display_name=stored.get("name") or query.name or "Compute center",
precision=stored.get("precision") or "city",
confidence=float(stored.get("confidence") or 0.85),
query=f"stored_compute_center_location::{stored.get('source')}:{stored.get('source_id')}",
source=self.name,
source_note=stored.get("source_note"),
matched_fields=("source", "source_id"),
needs_confirmation=bool(stored.get("needs_confirmation")),
city=stored.get("city") or query.city,
region=None,
country=stored.get("country") or query.country,
matched_location_name=stored.get("site") or stored.get("name") or query.name,
location_verified_at=stored.get("verified_at"),
suggested_registry_entry=None,
),
)
)
def _short_system_name(name: Any) -> str:
"""Strip vendor/system suffix from TOP500 names like ``"El Capitan - HPE Cray ..."``."""
text = coerce_str(name)
if not text:
return ""
head = text.split(" - ", 1)[0].strip()
return head or text
def _record_context(record: Any, metadata: dict[str, Any]) -> dict[str, str]:
name = coerce_str(getattr(record, "name", None))
return {
"source": coerce_str(getattr(record, "source", None)),
"source_id": coerce_str(getattr(record, "source_id", None)),
"name": name,
"name_short": _short_system_name(name),
"city": coerce_str(get_record_field(record, "city")),
"country": coerce_str(get_record_field(record, "country")),
"site": coerce_str(metadata.get("site") or metadata.get("organization")),
"operator": coerce_str(
metadata.get("operator")
or metadata.get("organization")
or metadata.get("owner")
or metadata.get("manufacturer")
),
"organization": coerce_str(metadata.get("organization")),
}
def _context_to_query(
context: dict[str, str],
*,
source_lat: float | None = None,
source_lon: float | None = None,
) -> LocationQuery:
name = context.get("name") or None
name_short = context.get("name_short") or ""
aliases: tuple[str, ...] = ()
if name_short and name_short != name:
aliases = (name_short,)
return LocationQuery(
name=name,
aliases=aliases,
city=context.get("city") or None,
country=context.get("country") or None,
source_latitude=source_lat,
source_longitude=source_lon,
extra={
"source": context.get("source") or "",
"source_id": context.get("source_id") or "",
"site": context.get("site") or "",
"operator": context.get("operator") or "",
"organization": context.get("organization") or "",
},
)
def _compute_center_query_plan(
query: LocationQuery,
) -> list[tuple[str, tuple[str, ...]]]:
"""Build the Nominatim query plan for a compute-center query.
Mirrors the legacy ``_build_online_query_plan`` ordering exactly.
"""
name = query.name or ""
name_short = (query.aliases[0] if query.aliases else "") or name
extra = query.extra or {}
site = str(extra.get("site") or "")
operator = str(extra.get("operator") or "")
city = query.city or ""
country = query.country or ""
plan: list[tuple[str, tuple[str, ...]]] = []
def add(parts: list[tuple[str, str]]) -> None:
non_empty = [(field, value) for field, value in parts if value]
if not non_empty:
return
seen: set[str] = set()
cleaned: list[str] = []
fields: list[str] = []
for field, value in non_empty:
key = normalize_text(value)
if not key or key in seen:
continue
seen.add(key)
cleaned.append(value)
fields.append(field)
if not cleaned:
return
composed = ", ".join(cleaned)
if not any(composed == existing for existing, _ in plan):
plan.append((composed, tuple(fields)))
add([("site", site), ("country", country)])
add([("operator", operator), ("city", city), ("country", country)])
add([("name", name_short), ("operator", operator), ("country", country)])
add([("name", name_short), ("site", site)])
add([("name", name_short), ("country", country)])
add([("name", name_short), ("city", city), ("country", country)])
add([("city", city), ("country", country)])
if name and name != name_short:
add([("name", name), ("country", country)])
return plan
COMPUTE_CENTER_PIPELINE = LocationPipeline(
[
SourceCoordinatesResolver(),
StoredComputeCenterLocationResolver(),
],
failure_reason=(
"Could not resolve to city-level coordinates from source coords"
" or stored compute-center location."
),
)
COMPUTE_CENTER_COLLECTION_PIPELINE = LocationPipeline(
[
SourceCoordinatesResolver(),
ROROrganizationResolver(),
NominatimResolver(
query_plan_builder=_compute_center_query_plan,
# Late-binding so test monkeypatching of ``_geocode_online`` works.
geocoder=lambda q: _geocode_online(q),
),
],
failure_reason=(
"Could not resolve to city-level coordinates from source coords"
", ROR organization lookup, or online geocoding."
),
)
# ── Candidate → ComputeCenterLocation conversion ───────────────────
_GEOGRAPHY_MODE_BY_SOURCE = {
"source_coordinates": "source_coordinates",
"stored_compute_center_location": "stored_compute_center_location",
"ror_organization_registry": "ror_organization",
"nominatim_online_geocode": "online_geocode",
}
def _candidate_to_location(
candidate: LocationCandidate,
*,
context: dict[str, str],
) -> ComputeCenterLocation:
geography_mode = _GEOGRAPHY_MODE_BY_SOURCE.get(candidate.source, "online_geocode")
is_estimated = candidate.needs_confirmation or candidate.source.startswith(
"nominatim"
)
estimated_reason: str | None
if candidate.source == "source_coordinates":
estimated_reason = None
elif candidate.source == "stored_compute_center_location":
estimated_reason = candidate.source_note
elif candidate.source == "ror_organization_registry":
fields_summary = ", ".join(candidate.matched_fields) or "organization"
estimated_reason = (
f"Resolved by ROR organization lookup '{candidate.query}' "
f"(matched fields: {fields_summary})"
)
elif candidate.source == "nominatim_online_geocode":
fields_summary = ", ".join(candidate.matched_fields) or "name"
estimated_reason = (
f"Resolved by online geocoding query '{candidate.query}' "
f"(matched fields: {fields_summary})"
)
else:
estimated_reason = candidate.source_note
country = (
candidate.country
or normalize_country_text(context.get("country"))
or context.get("country")
or None
)
return ComputeCenterLocation(
latitude=candidate.latitude,
longitude=candidate.longitude,
location_precision=candidate.precision,
geography_mode=geography_mode,
is_estimated=is_estimated,
estimated_reason=estimated_reason,
location_confidence=candidate.confidence,
location_source=candidate.source,
location_source_note=candidate.source_note,
location_verified_at=candidate.location_verified_at,
matched_location_name=candidate.matched_location_name
or context.get("name")
or None,
needs_confirmation=candidate.needs_confirmation,
city=candidate.city or context.get("city") or None,
region=candidate.region,
country=country,
)
def _diagnostic_for(
record: Any,
context: dict[str, str],
*,
failure_reason: str,
attempted_queries: tuple[str, ...] = (),
) -> ResolutionDiagnostic:
return ResolutionDiagnostic(
failure_reason=failure_reason,
attempted_queries=attempted_queries,
record_id=getattr(record, "id", None),
source=getattr(record, "source", None),
source_id=getattr(record, "source_id", None),
name=context.get("name") or getattr(record, "name", None),
country=context.get("country") or None,
city=context.get("city") or None,
site=context.get("site") or None,
operator=context.get("operator") or None,
)
# ── Public API ─────────────────────────────────────────────────────
def resolve_compute_center_location(
record: Any,
metadata: dict[str, Any] | None = None,
) -> ComputeCenterLocation:
"""Backwards-compatible thin wrapper returning the renderable location only.
Records that cannot be resolved to city-level get a placeholder
:class:`ComputeCenterLocation` with ``location_precision='unknown'``.
Callers should generally prefer :func:`resolve_compute_center_location_full`.
"""
full = resolve_compute_center_location_full(record, metadata)
return full.location or ComputeCenterLocation(
latitude=None,
longitude=None,
location_precision="unknown",
geography_mode="unresolved",
is_estimated=True,
estimated_reason="No resolvable location hints",
location_confidence=0.0,
location_source="unknown",
location_source_note=(
"No source coordinates, ROR organization match, or online"
" geocoding result."
),
matched_location_name=None,
needs_confirmation=False,
)
def resolve_compute_center_location_full(
record: Any,
metadata: dict[str, Any] | None = None,
*,
allow_online: bool = False,
) -> ResolutionResult:
metadata = metadata or {}
context = _record_context(record, metadata)
from app.services.location.text import parse_float as _parse_float
source_lat = _parse_float(get_record_field(record, "latitude"))
source_lon = _parse_float(get_record_field(record, "longitude"))
if source_lat in (None, 0.0):
source_lat = None
if source_lon in (None, 0.0):
source_lon = None
query = _context_to_query(
context, source_lat=source_lat, source_lon=source_lon
)
pipeline = (
COMPUTE_CENTER_COLLECTION_PIPELINE
if allow_online
else COMPUTE_CENTER_PIPELINE
)
pipeline_result = pipeline.resolve_best(query)
if pipeline_result.location and pipeline_result.location.precision in RENDERABLE_PRECISIONS:
location = _candidate_to_location(pipeline_result.location, context=context)
return ResolutionResult(location=location, diagnostic=None)
return ResolutionResult(
location=None,
diagnostic=_diagnostic_for(
record,
context,
failure_reason=(
"Could not resolve to city-level coordinates from source coords"
", ROR organization lookup, or online geocoding."
if allow_online
else (
"Could not resolve to city-level coordinates from source coords"
" or stored compute-center location."
)
),
attempted_queries=pipeline_result.attempted_queries,
),
)
def collect_location_candidates(
*,
name: str | None = None,
source: str | None = None,
source_id: str | None = None,
operator: str | None = None,
site: str | None = None,
city: str | None = None,
country: str | None = None,
organization: str | None = None,
record_id: int | None = None,
) -> tuple[list[LocationCandidate], list[str]]:
"""Run the full resolution chain and return ranked candidates with attempted queries.
The unused ``source`` / ``source_id`` / ``record_id`` arguments are kept
for backward compatibility with the API handler that calls this function.
"""
query = build_compute_center_location_query(
name=name,
source=source,
source_id=source_id,
operator=operator,
site=site,
city=city,
country=country,
organization=organization,
)
return COMPUTE_CENTER_COLLECTION_PIPELINE.collect_candidates(query)
def build_compute_center_location_query(
*,
name: str | None = None,
source: str | None = None,
source_id: str | None = None,
operator: str | None = None,
site: str | None = None,
city: str | None = None,
country: str | None = None,
organization: str | None = None,
) -> LocationQuery:
name_value = coerce_str(name)
context: dict[str, str] = {
"source": coerce_str(source),
"source_id": coerce_str(source_id),
"name": name_value,
"name_short": _short_system_name(name_value),
"city": coerce_str(city),
"country": coerce_str(country),
"site": coerce_str(site or organization),
"operator": coerce_str(operator or organization),
"organization": coerce_str(organization),
}
return _context_to_query(context)
def _record_operator(metadata: dict[str, Any]) -> str | None:
return coerce_str(
metadata.get("operator")
or metadata.get("organization")
or metadata.get("owner")
or metadata.get("manufacturer")
) or None
async def seed_compute_center_locations_from_source_coords(
session: AsyncSession,
) -> None:
"""Seed stored compute-center locations only from real source coordinates."""
stmt = (
select(CollectedData)
.where(CollectedData.source.in_(["top500", "epoch_ai_gpu"]))
.where(CollectedData.is_current.is_(True))
)
result = await session.execute(stmt)
records = result.scalars().all()
changed = False
for record in records:
source_value = coerce_str(getattr(record, "source", None))
source_id = coerce_str(getattr(record, "source_id", None))
if not source_value or not source_id:
continue
latitude = parse_float(get_record_field(record, "latitude"))
longitude = parse_float(get_record_field(record, "longitude"))
if latitude in (None, 0.0) or longitude in (None, 0.0):
continue
existing = await session.scalar(
select(ComputeCenterLocationRecord)
.where(ComputeCenterLocationRecord.source == source_value)
.where(ComputeCenterLocationRecord.source_id == source_id)
)
if existing:
continue
metadata = record.extra_data or {}
session.add(
ComputeCenterLocationRecord(
source=source_value,
source_id=source_id,
name=getattr(record, "name", None),
operator=_record_operator(metadata),
site=coerce_str(metadata.get("site") or metadata.get("organization")) or None,
city=coerce_str(get_record_field(record, "city")) or None,
country=coerce_str(get_record_field(record, "country")) or None,
latitude=latitude,
longitude=longitude,
precision="precise",
confidence=1.0,
location_source="source_coordinates",
source_note="Seeded from source-provided compute-center coordinates",
raw_payload={
"record_id": getattr(record, "id", None),
"source": source_value,
"source_id": source_id,
},
needs_confirmation=False,
verification_status="source_provided",
verified_at=None,
)
)
changed = True
if changed:
await session.commit()
await refresh_compute_center_location_cache(session)
async def upsert_compute_center_location(
session: AsyncSession,
*,
source: str,
source_id: str,
name: str | None = None,
operator: str | None = None,
site: str | None = None,
city: str | None = None,
country: str | None = None,
latitude: float,
longitude: float,
precision: str = "city",
confidence: float | None = None,
location_source: str = "manual_selection",
source_url: str | None = None,
source_note: str | None = None,
raw_payload: dict[str, Any] | None = None,
needs_confirmation: bool = False,
verification_status: str = "verified",
) -> ComputeCenterLocationRecord:
existing = await session.scalar(
select(ComputeCenterLocationRecord)
.where(ComputeCenterLocationRecord.source == source)
.where(ComputeCenterLocationRecord.source_id == source_id)
)
verified_at = None if needs_confirmation else datetime.now(UTC)
values = {
"name": name,
"operator": operator,
"site": site,
"city": city,
"country": country,
"latitude": latitude,
"longitude": longitude,
"precision": precision,
"confidence": confidence,
"location_source": location_source,
"source_url": source_url,
"source_note": source_note,
"raw_payload": raw_payload or {},
"needs_confirmation": needs_confirmation,
"verification_status": verification_status,
"verified_at": verified_at,
}
if existing:
for key, value in values.items():
setattr(existing, key, value)
record = existing
else:
record = ComputeCenterLocationRecord(
source=source,
source_id=source_id,
**values,
)
session.add(record)
await session.commit()
await session.refresh(record)
await refresh_compute_center_location_cache(session)
return record

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"""Credential setup guides for collector integrations."""
from __future__ import annotations
from dataclasses import dataclass
from copy import deepcopy
from typing import Any
from sqlalchemy import select
from sqlalchemy.orm.attributes import flag_modified
from app.ai_tasks.prompts import get_effective_prompt
from app.models.system_setting import SystemSetting
from app.schemas.ai import SituationalAnalysisRequest
from app.services.ai_client import AIProviderClient
from app.services.ai_tools.evidence_store import normalize_search_evidence
from app.services.ai_tools.web_search import WebSearchClient, WebSearchError
CREDENTIAL_GUIDES_CATEGORY = "collector_credential_guides"
CREDENTIAL_GUIDE_PROMPT_KEY = "credential.guide"
@dataclass(frozen=True)
class CredentialGuideDefault:
provider: str
title: str
prompt: str
markdown: str
BARENTSWATCH_DEFAULT_GUIDE = CredentialGuideDefault(
provider="barentswatch",
title="BarentsWatch AIS 凭证获取教程",
prompt=(
"请生成一份中文教程,指导开发者获取 BarentsWatch Live AIS API 的 "
"OAuth client credentials。教程要面向已经有本地开发环境的人包含注册/登录、"
"创建 client、申请或确认 ais scope、复制 client id 和 client secret、"
"在系统设置中填写并验证连接、常见失败排查。不要编造具体页面按钮文案,"
"必须参考官方 tutorialhttps://developer.barentswatch.no/docs/tutorial 。"
"必须强调 Live AIS 要选择 AIS-client / AIS - API而不是普通 API-client。"
"如果步骤可能变化,要提醒以 BarentsWatch developer portal 当前页面为准。"
),
markdown="""## BarentsWatch AIS 凭证获取
官方教程https://developer.barentswatch.no/docs/tutorial
1. 先打开上面的 BarentsWatch 官方 tutorial按官方流程登录或注册开发者账号。
2. 在 Developer access 页面选择 `AIS - API`,不要选择普通的 `BarentsWatch - API`。
3. 在 `AIS - API` 下创建用于 Planet 的 AIS client。
4. 创建时记下你设置的 password / client secret。
5. 回到 My Page 复制完整 `Client ID`。它通常长得像 `your.email@example.com:client-name`。
6. 回到 Planet 的 `设置 -> 采集器设置 -> BarentsWatch AIS`,填入 `Client ID` 和 `Client Secret`。
7. 点击 `连接` 验证 token 和 AIS endpoint 是否可访问。
8. 连接成功后保存凭证。
### 请求规则
- Token 地址:`https://id.barentswatch.no/connect/token`
- 请求方式:`POST`
- Content-Type`application/x-www-form-urlencoded`
- Body 必须包含:`grant_type=client_credentials`、`client_id`、`client_secret`、`scope=ais`
- `client_id`、`client_secret`、`scope`、`grant_type` 都要放在 body不要放在 header。
- AIS 数据请求使用 header`Authorization: Bearer <access_token>`
### 常见排查
- `未找到凭证`:确认 `Client ID` 和 `Client Secret` 已填写,或已经写入 `~/.zshrc`。
- `HTTP 401/403`:通常是选成了普通 `BarentsWatch - API` client、client secret 错误,或 token 请求没有使用 `scope=ais`。
- `network` 错误:检查本机是否能访问 `id.barentswatch.no` 和 `live.ais.barentswatch.no`。
- Endpoint 建议保持默认:`https://live.ais.barentswatch.no/v1/latest/combined`。
""",
)
AISSTREAM_DEFAULT_GUIDE = CredentialGuideDefault(
provider="aisstream",
title="AISStream API Key 获取教程",
prompt=(
"请生成一份中文教程,指导开发者获取 AISStream 的 API Key 并配置到 Planet。"
"教程要面向已经有本地开发环境的人,包含注册/登录 AISStream、获取 API Key、"
"理解免费额度和订阅范围、在 Planet 设置中心填写 API Key、配置 bounding boxes "
"和 message types、验证连接、常见失败排查。必须提醒用户以 AISStream 当前官网和"
"服务条款为准,不要编造具体页面按钮文案。"
),
markdown="""## AISStream API Key 获取
官方入口https://aisstream.io/
1. 打开 AISStream 官网,按当前页面指引注册或登录账号。
2. 在账号/API 管理页面创建或复制你的 API Key。
3. 先确认当前账号额度、使用条款和可订阅区域。实时 AIS 流量可能很大,不建议一开始订阅全球范围。
4. 回到 Planet 的 `设置 -> 采集器设置 -> AISStream 实时船舶`。
5. 在 `AISStream 凭证` 中填入 API Key。
6. Endpoint 通常保持默认:`wss://stream.aisstream.io/v0/stream`。
7. 按需配置 `Bounding Boxes JSON` 和 `消息类型`。
8. 点击连接测试,确认系统能读取凭证且 WebSocket endpoint 格式有效。
9. 保存采集器设置后再运行 `aisstream_vessels` collector。
### 推荐配置
默认消息类型:
```json
["PositionReport", "ShipStaticData"]
```
默认 Bounding Boxes 示例:
```json
[[[-90, -180], [90, 180]]]
```
这个示例表示全球范围。实际使用时建议先改成较小区域,降低消息量和处理压力。
### 请求规则
- Endpoint`wss://stream.aisstream.io/v0/stream`
- 传输方式WebSocket
- API Key 放在订阅 payload 中,不放在 HTTP header。
- Planet 会把 AISStream 标记为 `delivery_mode = realtime_stream`、`transport = websocket`。
- AISStream collector 只写入 AIS raw observations不直接覆盖最终船只展示表。
### 常见排查
- `未找到凭证`:确认 API Key 已保存到采集器设置,或设置了 `AISSTREAM_API_KEY` 环境变量 / `~/.zshrc`。
- `endpoint 必须是 ws:// 或 wss://`AISStream 是 WebSocket 流接口,不要填普通 `https://` API 地址。
- 采集量过大:缩小 `Bounding Boxes JSON`,减少 `message_types`,或降低单次最大消息数。
- 没有船只数据:确认订阅区域内确实有 AIS 活动,并检查 API Key 当前额度和权限。
- 连接中断实时流可能受网络和上游限流影响collector 会记录源健康状态供聚合服务回退。
""",
)
DEFAULT_CREDENTIAL_GUIDES = {
BARENTSWATCH_DEFAULT_GUIDE.provider: BARENTSWATCH_DEFAULT_GUIDE,
AISSTREAM_DEFAULT_GUIDE.provider: AISSTREAM_DEFAULT_GUIDE,
}
def _normalize_provider(provider: str) -> str:
return provider.strip().lower().replace(" ", "_")
def _credential_guide_default(provider: str) -> CredentialGuideDefault:
normalized = _normalize_provider(provider)
known = DEFAULT_CREDENTIAL_GUIDES.get(normalized)
if known is not None:
return known
title = f"{normalized or 'collector'} 凭证配置教程"
return CredentialGuideDefault(
provider=normalized,
title=title,
prompt=(
f"请生成一份中文教程,指导开发者为 Planet 采集器配置 {normalized} 凭证。"
"教程要面向已经有本地开发环境的人,包含官方入口或文档查找方式、"
"获取 API Key / Token / Client credentials 的通用步骤、在 Planet 采集器配置中"
"填写凭证字段、连接测试、保存、常见失败排查。不要编造具体页面按钮文案;"
"如果公开资料不足,必须明确提醒以 provider 官方文档和当前控制台页面为准。"
),
markdown="",
)
async def _get_guide_store(db) -> tuple[SystemSetting | None, dict[str, Any]]:
result = await db.execute(
select(SystemSetting).where(SystemSetting.category == CREDENTIAL_GUIDES_CATEGORY)
)
record = result.scalar_one_or_none()
payload = deepcopy(record.payload) if record and isinstance(record.payload, dict) else {}
return record, payload
async def get_credential_guide(db, provider: str) -> dict[str, Any]:
provider = _normalize_provider(provider)
default = _credential_guide_default(provider)
_record, store = await _get_guide_store(db)
custom = store.get(provider) if isinstance(store.get(provider), dict) else None
has_default_markdown = bool(default.markdown.strip())
return {
"provider": provider,
"title": custom.get("title") if custom else default.title,
"markdown": custom.get("markdown") if custom else default.markdown,
"prompt": default.prompt,
"source": "ai" if custom else "default" if has_default_markdown else "missing",
"sources": custom.get("sources", []) if custom else [],
"verification_status": (
custom.get("verification_status", "verified_with_search_evidence")
if custom
else "default_unverified" if has_default_markdown else "missing"
),
"verification_error": custom.get("verification_error") if custom else None,
}
async def save_credential_guide(
db,
provider: str,
title: str,
markdown: str,
*,
sources: list[dict[str, Any]] | None = None,
verification_status: str = "verified_with_search_evidence",
verification_error: str | None = None,
) -> dict[str, Any]:
provider = _normalize_provider(provider)
default = _credential_guide_default(provider)
record, store = await _get_guide_store(db)
store[provider] = {
"title": title or default.title,
"markdown": markdown,
"sources": sources or [],
"verification_status": verification_status,
"verification_error": verification_error,
}
if record is None:
db.add(SystemSetting(category=CREDENTIAL_GUIDES_CATEGORY, payload=store))
else:
record.payload = deepcopy(store)
flag_modified(record, "payload")
await db.commit()
return await get_credential_guide(db, provider)
async def reset_credential_guide(db, provider: str) -> dict[str, Any]:
provider = _normalize_provider(provider)
record, store = await _get_guide_store(db)
if provider in store:
store.pop(provider, None)
if record is not None:
record.payload = deepcopy(store)
flag_modified(record, "payload")
await db.commit()
return await get_credential_guide(db, provider)
async def generate_credential_guide(
db,
provider: str,
ai_client: AIProviderClient,
web_search_client: WebSearchClient | None = None,
) -> dict[str, Any]:
provider = _normalize_provider(provider)
default = _credential_guide_default(provider)
search_evidence: list[dict[str, Any]] = []
search_error: str | None = None
if web_search_client is not None:
try:
evidence = await web_search_client.search(
_credential_guide_search_query(default),
max_results=5,
)
search_evidence = normalize_search_evidence(evidence, limit=5)
except WebSearchError as exc:
search_error = str(exc)
except Exception as exc:
search_error = f"WebSearch unavailable: {exc}"
if not search_evidence:
guide = await get_credential_guide(db, provider)
guide["verification_status"] = "unverified_no_search_evidence"
guide["verification_error"] = search_error
guide["sources"] = []
return guide
prompt = await get_effective_prompt(db, CREDENTIAL_GUIDE_PROMPT_KEY)
response = await ai_client.analyze(
SituationalAnalysisRequest(
title=f"Generate credential guide for {provider}",
objective=f"{default.prompt}\n{prompt.prompt}",
system_prompt=prompt.system_prompt or None,
context={
"provider": provider,
"current_default_guide": default.markdown,
"product_context": "Planet collector credential settings",
"search_evidence": search_evidence,
},
observations=[
"Use concise Chinese markdown.",
"Prefer stable concepts over brittle UI labels.",
"Include verification and troubleshooting steps.",
"Include a short sources section with the provided URLs.",
],
constraints=[
"Do not ask the user for secrets.",
"Do not include fabricated screenshots.",
"Do not invent source URLs or product UI labels.",
"Use only the provided search_evidence as factual support.",
"Return markdown only.",
],
)
)
markdown = response.content.strip()
if not markdown:
markdown = default.markdown
return await save_credential_guide(
db,
provider,
default.title,
markdown,
sources=search_evidence,
verification_status="verified_with_search_evidence",
)
def _credential_guide_search_query(default: CredentialGuideDefault) -> str:
if default.provider == "barentswatch":
return "BarentsWatch developer tutorial AIS API OAuth client credentials"
if default.provider == "aisstream":
return "AISStream API key documentation websocket stream"
return f"{default.provider} API credentials documentation"

View File

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"""Runtime helpers for mapped custom data sources."""
from __future__ import annotations
import asyncio
import base64
import json
from datetime import UTC, datetime
from typing import Any
import httpx
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.target_schema_registry import TARGET_SCHEMAS
from app.db.session import async_session_factory
from app.models.datasource_config import DataSourceConfig
from app.models.datasource_mapping import DataSourceMappingTemplate
from app.services.datasource_mapping import (
MappingError,
execute_mapping,
extract_path,
persist_mapped_records,
)
DEFAULT_MAPPING_TEMPLATES: dict[str, dict[str, Any]] = {
"vessel_ais": {
"source": {"items_path": "$"},
"fields": {
"mmsi": {"path": "$.mmsi", "type": "integer"},
"name": {"path": "$.name", "type": "string", "default": None},
"lat": {"path": "$.lat", "type": "float"},
"lon": {"path": "$.lon", "type": "float"},
"sog": {"path": "$.sog", "type": "float", "default": None},
"cog": {"path": "$.cog", "type": "float", "default": None},
"heading": {"path": "$.heading", "type": "integer", "default": None},
"nav_status": {"path": "$.nav_status", "type": "integer", "default": None},
"callsign": {"path": "$.callsign", "type": "string", "default": None},
"vessel_type": {"path": "$.vessel_type", "type": "string", "default": None},
"vessel_type_name": {"path": "$.vessel_type_name", "type": "string", "default": None},
"received_at": {"path": "$.received_at", "type": "datetime", "default": None},
},
"meta": {"generated_by": "default_template", "requires_review": False},
},
}
RUNNING_CUSTOM_STREAM_TASKS: dict[int, asyncio.Task[Any]] = {}
class CustomDatasourceRuntimeError(RuntimeError):
"""Raised when a custom datasource cannot run."""
def build_request_headers(auth_type: str, auth_config: dict, headers: dict) -> dict[str, str]:
request_headers = {str(key): str(value) for key, value in (headers or {}).items()}
auth_type = str(auth_type or "none").lower()
auth_config = auth_config or {}
if auth_type == "bearer" and auth_config.get("token"):
request_headers["Authorization"] = f"Bearer {auth_config['token']}"
elif auth_type == "api_key" and auth_config.get("api_key"):
location = str(auth_config.get("in") or auth_config.get("location") or "header").lower()
if location != "query":
key_name = auth_config.get("key_name", "X-API-Key")
request_headers[str(key_name)] = str(auth_config["api_key"])
elif auth_type == "basic":
username = auth_config.get("username", "")
password = auth_config.get("password", "")
credentials = f"{username}:{password}"
encoded = base64.b64encode(credentials.encode()).decode()
request_headers["Authorization"] = f"Basic {encoded}"
return request_headers
def build_query_params(auth_type: str, auth_config: dict, config: dict) -> dict[str, Any]:
params: dict[str, Any] = {}
candidate = (config or {}).get("params") or (config or {}).get("query_params")
if isinstance(candidate, dict):
params.update(candidate)
auth_type = str(auth_type or "none").lower()
auth_config = auth_config or {}
if auth_type == "api_key" and auth_config.get("api_key"):
location = str(auth_config.get("in") or auth_config.get("location") or "header").lower()
if location == "query":
key_name = auth_config.get("key_name") or auth_config.get("param_name") or "api_key"
params[str(key_name)] = auth_config["api_key"]
return params
async def load_active_mapping(
db: AsyncSession,
datasource_config_id: int,
) -> DataSourceMappingTemplate:
result = await db.execute(
select(DataSourceMappingTemplate)
.where(DataSourceMappingTemplate.datasource_config_id == datasource_config_id)
.where(DataSourceMappingTemplate.is_active.is_(True))
.order_by(DataSourceMappingTemplate.version.desc())
.limit(1)
)
mapping = result.scalar_one_or_none()
if mapping is not None:
return mapping
datasource = await db.get(DataSourceConfig, datasource_config_id)
if datasource is None:
raise CustomDatasourceRuntimeError("Configuration not found")
target_schema = (datasource.config or {}).get("target_schema")
template_body = DEFAULT_MAPPING_TEMPLATES.get(str(target_schema or "")) if target_schema else None
if not template_body or target_schema not in TARGET_SCHEMAS:
raise CustomDatasourceRuntimeError(
"No active mapping template found and no default template available for this target schema"
)
mapping = DataSourceMappingTemplate(
datasource_config_id=datasource_config_id,
target_schema=str(target_schema),
mapping_json=template_body,
sample_payload_hash=None,
validation_status="valid",
version=1,
is_active=True,
)
db.add(mapping)
await db.commit()
await db.refresh(mapping)
return mapping
async def fetch_rest_payload(config: DataSourceConfig, limit_bytes: int) -> Any:
request_config = config.config or {}
method = str(request_config.get("method") or request_config.get("request_method") or "GET").upper()
if method not in {"GET", "POST"}:
raise CustomDatasourceRuntimeError("Only GET and POST sample requests are supported.")
headers = build_request_headers(config.auth_type, config.auth_config or {}, config.headers or {})
params = build_query_params(config.auth_type, config.auth_config or {}, request_config)
timeout = float(request_config.get("timeout", 30))
json_body = request_config.get("json_body")
if json_body is None and str(request_config.get("body_type") or "").lower() in {"json", ""}:
candidate = request_config.get("body")
if isinstance(candidate, (dict, list)):
json_body = candidate
async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
response = await client.request(
method,
config.endpoint,
headers=headers,
params=params or None,
json=json_body,
)
response.raise_for_status()
content = response.content[:limit_bytes]
if "application/json" in response.headers.get("content-type", ""):
return json.loads(content.decode(response.encoding or "utf-8"))
return {"text": content.decode(response.encoding or "utf-8", errors="replace")}
async def run_mapped_rest_config(
db: AsyncSession,
datasource: DataSourceConfig,
) -> dict[str, Any]:
mapping = await load_active_mapping(db, datasource.id)
sample = await fetch_rest_payload(datasource, 5_000_000)
mapped = execute_mapping(sample, mapping.mapping_json, mapping.target_schema)
if mapped["failed_count"] > 0:
return {
"status": "failed",
"datasource_config_id": datasource.id,
"mapping_id": mapping.id,
"mapping_version": mapping.version,
"target_schema": mapping.target_schema,
"mapped_count": mapped["mapped_count"],
"failed_count": mapped["failed_count"],
"errors": mapped["errors"][:20],
}
request_config = datasource.config or {}
written_count = await persist_mapped_records(
db,
datasource_name=datasource.name,
datasource_config_id=datasource.id,
target_schema=mapping.target_schema,
records=mapped["records"],
mapping_version=mapping.version,
delivery_mode=request_config.get("delivery_mode") or "polling",
transport="http",
)
return {
"status": "success",
"datasource_config_id": datasource.id,
"mapping_id": mapping.id,
"mapping_version": mapping.version,
"target_schema": mapping.target_schema,
"fetched_count": mapped["total_items"],
"mapped_count": mapped["mapped_count"],
"written_count": written_count,
}
def _items_from_ws_message(payload: Any, config: dict) -> Any:
message_path = config.get("ws_message_path")
items_path = config.get("ws_items_path")
value = extract_path(payload, message_path) if message_path else payload
return extract_path(value, items_path) if items_path else value
async def _connect_websocket(endpoint: str, headers: dict[str, str]):
import websockets
try:
return await websockets.connect(endpoint, additional_headers=headers or None)
except TypeError:
return await websockets.connect(endpoint, extra_headers=headers or None)
async def test_websocket_config(config: DataSourceConfig) -> dict[str, Any]:
if not str(config.endpoint or "").startswith(("ws://", "wss://")):
raise CustomDatasourceRuntimeError("WebSocket datasource endpoint must start with ws:// or wss://")
runtime_config = config.config or {}
headers = build_request_headers(config.auth_type, config.auth_config or {}, config.headers or {})
receive_timeout = float(runtime_config.get("receive_timeout_seconds") or runtime_config.get("timeout") or 10)
async with await _connect_websocket(config.endpoint, headers) as websocket:
subscribe_message = runtime_config.get("ws_subscribe_message")
if isinstance(subscribe_message, (dict, list)):
await websocket.send(json.dumps(subscribe_message))
elif isinstance(subscribe_message, str) and subscribe_message.strip():
await websocket.send(subscribe_message)
raw_message = await asyncio.wait_for(websocket.recv(), timeout=receive_timeout)
return {
"success": True,
"message_preview": raw_message[:1000] if isinstance(raw_message, str) else str(raw_message)[:1000],
}
async def run_mapped_websocket_config(
db: AsyncSession,
datasource: DataSourceConfig,
*,
debug_max_messages: int | None = None,
use_config_debug_max_messages: bool = True,
) -> dict[str, Any]:
if not str(datasource.endpoint or "").startswith(("ws://", "wss://")):
raise CustomDatasourceRuntimeError("WebSocket datasource endpoint must start with ws:// or wss://")
mapping = await load_active_mapping(db, datasource.id)
runtime_config = datasource.config or {}
max_messages = debug_max_messages
if max_messages is None and use_config_debug_max_messages:
max_messages = runtime_config.get("debug_max_messages")
max_messages = int(max_messages) if max_messages else None
receive_timeout = float(runtime_config.get("receive_timeout_seconds") or runtime_config.get("timeout") or 30)
reconnect = bool(runtime_config.get("ws_reconnect", True))
reconnect_delay = float(runtime_config.get("reconnect_delay_seconds") or 3)
headers = build_request_headers(datasource.auth_type, datasource.auth_config or {}, datasource.headers or {})
messages_seen = 0
mapped_count = 0
failed_count = 0
written_count = 0
errors: list[dict[str, Any]] = []
started_at = datetime.now(UTC)
while True:
try:
async with await _connect_websocket(datasource.endpoint, headers) as websocket:
subscribe_message = runtime_config.get("ws_subscribe_message")
if isinstance(subscribe_message, (dict, list)):
await websocket.send(json.dumps(subscribe_message))
elif isinstance(subscribe_message, str) and subscribe_message.strip():
await websocket.send(subscribe_message)
while True:
raw_message = await asyncio.wait_for(websocket.recv(), timeout=receive_timeout)
messages_seen += 1
try:
payload = json.loads(raw_message)
except json.JSONDecodeError as exc:
failed_count += 1
errors.append({"message": "invalid_json", "error": str(exc)})
continue
extracted = _items_from_ws_message(payload, runtime_config)
try:
mapped = execute_mapping(extracted, mapping.mapping_json, mapping.target_schema)
except (MappingError, ValueError) as exc:
failed_count += 1
errors.append({"message": "mapping_failed", "error": str(exc)})
continue
mapped_count += mapped["mapped_count"]
failed_count += mapped["failed_count"]
if mapped["errors"]:
errors.extend(mapped["errors"][:5])
if mapped["records"]:
written_count += await persist_mapped_records(
db,
datasource_name=datasource.name,
datasource_config_id=datasource.id,
target_schema=mapping.target_schema,
records=mapped["records"],
mapping_version=mapping.version,
delivery_mode=runtime_config.get("delivery_mode") or "realtime_stream",
transport="websocket",
)
if max_messages and messages_seen >= max_messages:
return {
"status": "success",
"datasource_config_id": datasource.id,
"mapping_id": mapping.id,
"mapping_version": mapping.version,
"target_schema": mapping.target_schema,
"messages_seen": messages_seen,
"mapped_count": mapped_count,
"failed_count": failed_count,
"written_count": written_count,
"errors": errors[:20],
"execution_time_seconds": (datetime.now(UTC) - started_at).total_seconds(),
}
except asyncio.CancelledError:
raise
except Exception as exc:
failed_count += 1
errors.append({"message": "websocket_error", "error": f"{exc.__class__.__name__}: {exc}"})
if not reconnect or max_messages:
return {
"status": "failed" if written_count == 0 else "partial",
"datasource_config_id": datasource.id,
"mapping_id": mapping.id,
"mapping_version": mapping.version,
"target_schema": mapping.target_schema,
"messages_seen": messages_seen,
"mapped_count": mapped_count,
"failed_count": failed_count,
"written_count": written_count,
"errors": errors[:20],
}
await asyncio.sleep(reconnect_delay)
async def run_custom_stream_by_id(config_id: int) -> dict[str, Any]:
async with async_session_factory() as db:
datasource = await db.get(DataSourceConfig, config_id)
if not datasource:
raise CustomDatasourceRuntimeError("Configuration not found")
return await run_mapped_websocket_config(
db,
datasource,
use_config_debug_max_messages=False,
)
def start_custom_stream(config_id: int) -> bool:
existing = RUNNING_CUSTOM_STREAM_TASKS.get(config_id)
if existing is not None and not existing.done():
return False
task = asyncio.create_task(run_custom_stream_by_id(config_id), name=f"custom-stream:{config_id}")
RUNNING_CUSTOM_STREAM_TASKS[config_id] = task
def _cleanup(done_task: asyncio.Task[Any]) -> None:
if RUNNING_CUSTOM_STREAM_TASKS.get(config_id) is done_task:
RUNNING_CUSTOM_STREAM_TASKS.pop(config_id, None)
task.add_done_callback(_cleanup)
return True
async def stop_custom_stream(config_id: int) -> bool:
task = RUNNING_CUSTOM_STREAM_TASKS.get(config_id)
if task is None or task.done():
RUNNING_CUSTOM_STREAM_TASKS.pop(config_id, None)
return False
task.cancel()
try:
await task
except asyncio.CancelledError:
return True
return task.cancelled()
def get_custom_stream_status(config_id: int) -> dict[str, Any]:
task = RUNNING_CUSTOM_STREAM_TASKS.get(config_id)
return {
"config_id": config_id,
"running": bool(task and not task.done()),
"done": bool(task and task.done()),
}

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"""Kafka-ready datasource job queue backed by PostgreSQL for v1."""
from __future__ import annotations
import asyncio
from datetime import UTC, datetime, timedelta
from uuid import uuid4
from typing import Any
from sqlalchemy import bindparam, select, text
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.cache import cache
from app.core.config import settings
from app.core.logging import get_logger
from app.core.time import to_iso8601_utc
from app.core.websocket.broadcaster import broadcaster
from app.db.session import async_session_factory
from app.models.collected_data import CollectedData
from app.models.data_snapshot import DataSnapshot
from app.models.datasource import DataSource
from app.models.task import CollectionTask
from app.services.collectors.registry import collector_registry
from app.services.datasource_connectivity import (
build_builtin_connectivity_checksum,
get_builtin_effective_candidate,
save_connectivity_success,
)
from app.services.earth_layer_adapters import (
clear_derived_datasource_data,
get_earth_refresh_strategy_for_change,
get_earth_update_layers_for_source,
)
from app.services.earth_layer_cache import invalidate_earth_layer_cache_for_source
from app.services.scheduler import sync_datasource_job
logger = get_logger(__name__)
JOB_TYPE_COLLECT = "collect"
JOB_TYPE_CLEAR_DATA = "clear_data"
JOB_TYPE_CLEAR_CACHE = "clear_cache"
JOB_TYPE_EARTH_REFRESH = "earth_refresh"
JOB_STATUS_QUEUED = "queued"
JOB_STATUS_RUNNING = "running"
JOB_STATUS_CANCELLING = "cancelling"
JOB_STATUS_SUCCESS = "success"
JOB_STATUS_FAILED = "failed"
JOB_STATUS_CANCELLED = "cancelled"
ACTIVE_JOB_STATUSES = (JOB_STATUS_QUEUED, JOB_STATUS_RUNNING, JOB_STATUS_CANCELLING)
TERMINAL_JOB_STATUSES = (JOB_STATUS_SUCCESS, JOB_STATUS_FAILED, JOB_STATUS_CANCELLED)
DATA_WRITE_JOB_TYPES = (JOB_TYPE_COLLECT, JOB_TYPE_CLEAR_DATA, JOB_TYPE_CLEAR_CACHE)
SOURCE_LOCK_JOB_STATUSES = (JOB_STATUS_RUNNING, JOB_STATUS_CANCELLING)
QUEUE_POLL_SECONDS = 0.35
JOB_STALE_LOCK_MINUTES = 90
DEFAULT_WORKER_CONCURRENCY = 2
RUNNING_DATA_JOB_TASKS: dict[int, asyncio.Task[Any]] = {}
def _utcnow() -> datetime:
return datetime.now(UTC)
def _job_worker_id() -> str:
return f"{settings.PROJECT_NAME}:data-job-worker:{uuid4().hex[:8]}"
def is_terminal_job_status(status: str | None) -> bool:
return status in TERMINAL_JOB_STATUSES
async def enqueue_datasource_job(
db: AsyncSession,
datasource: DataSource,
task_type: str,
*,
payload: dict[str, Any] | None = None,
rollback_policy: str = "keep_committed_batches",
dedupe_key: str | None = None,
) -> CollectionTask:
if dedupe_key:
existing = await _get_active_job_by_dedupe_key(db, dedupe_key)
if existing is not None:
return existing
task = CollectionTask(
datasource_id=datasource.id,
source=datasource.source,
task_type=task_type,
status=JOB_STATUS_QUEUED,
phase="queued",
phase_message="任务已进入队列",
payload=payload or {},
rollback_policy=rollback_policy,
dedupe_key=dedupe_key,
)
db.add(task)
await db.commit()
await db.refresh(task)
await _broadcast_task_update(task)
return task
async def enqueue_earth_refresh_job(
db: AsyncSession,
*,
source: str,
payload: dict[str, Any] | None = None,
) -> CollectionTask | None:
layers = list((payload or {}).get("layers") or get_earth_update_layers_for_source(source))
if not layers:
return None
datasource = await _get_or_create_virtual_datasource(db, source)
refresh_payload = {
"source": source,
"layers": layers,
"refresh_strategy": (payload or {}).get("refresh_strategy")
or get_earth_refresh_strategy_for_change((payload or {}).get("table"), source)
or "clear_then_reload",
**(payload or {}),
}
return await enqueue_datasource_job(
db,
datasource,
JOB_TYPE_EARTH_REFRESH,
payload=refresh_payload,
dedupe_key=f"earth_refresh:{source}",
)
async def enqueue_earth_refresh_from_update(payload: dict[str, Any]) -> None:
source = str(payload.get("source") or "").strip()
if not source:
return
async with async_session_factory() as db:
await enqueue_earth_refresh_job(db, source=source, payload=payload)
async def request_cancel_datasource_task(
db: AsyncSession,
task: CollectionTask,
*,
reason: str = "cancelled_by_operator",
) -> CollectionTask:
if is_terminal_job_status(task.status):
return task
running_task = RUNNING_DATA_JOB_TASKS.get(task.id)
if task.status == JOB_STATUS_QUEUED or (
running_task is None
and (
task.status == JOB_STATUS_CANCELLING
or (task.status == JOB_STATUS_RUNNING and task.task_type != JOB_TYPE_COLLECT)
)
):
return await _cancel_task_without_runner(db, task, reason=reason)
task.status = JOB_STATUS_CANCELLING
task.phase = JOB_STATUS_CANCELLING
task.phase_message = "正在停止任务"
task.requested_cancel_at = _utcnow()
task.cancel_reason = reason
await db.commit()
await db.refresh(task)
if running_task is not None and not running_task.done():
running_task.cancel()
await _broadcast_task_update(task)
return task
async def _cancel_task_without_runner(
db: AsyncSession,
task: CollectionTask,
*,
reason: str,
) -> CollectionTask:
if task.task_type == JOB_TYPE_COLLECT:
await db.execute(CollectedData.__table__.delete().where(CollectedData.task_id == task.id))
snapshot_result = await db.execute(select(DataSnapshot).where(DataSnapshot.task_id == task.id))
for snapshot in snapshot_result.scalars().all():
snapshot.status = JOB_STATUS_CANCELLED
snapshot.completed_at = _utcnow()
snapshot.error_message = "Cancelled after operator stop request; no active worker handle remained"
datasource = await db.get(DataSource, task.datasource_id)
if datasource is not None:
datasource.last_status = JOB_STATUS_CANCELLED
task.status = JOB_STATUS_CANCELLED
task.phase = JOB_STATUS_CANCELLED
task.phase_message = "任务已停止"
task.completed_at = _utcnow()
task.requested_cancel_at = task.requested_cancel_at or _utcnow()
task.cancel_reason = reason
await db.commit()
await db.refresh(task)
await _broadcast_task_update(task)
return task
async def get_active_datasource_job(
db: AsyncSession,
datasource_id: int,
*,
task_types: tuple[str, ...] = DATA_WRITE_JOB_TYPES,
) -> CollectionTask | None:
result = await db.execute(
select(CollectionTask)
.where(CollectionTask.datasource_id == datasource_id)
.where(CollectionTask.task_type.in_(task_types))
.where(CollectionTask.status.in_(ACTIVE_JOB_STATUSES))
.order_by(CollectionTask.created_at.desc().nullslast(), CollectionTask.id.desc())
.limit(1)
)
return result.scalar_one_or_none()
async def _get_active_job_by_dedupe_key(db: AsyncSession, dedupe_key: str) -> CollectionTask | None:
result = await db.execute(
select(CollectionTask)
.where(CollectionTask.dedupe_key == dedupe_key)
.where(CollectionTask.status.in_(ACTIVE_JOB_STATUSES))
.order_by(CollectionTask.created_at.desc().nullslast(), CollectionTask.id.desc())
.limit(1)
)
return result.scalar_one_or_none()
async def _get_or_create_virtual_datasource(db: AsyncSession, source: str) -> DataSource:
result = await db.execute(select(DataSource).where(DataSource.source == source))
datasource = result.scalar_one_or_none()
if datasource is not None:
return datasource
datasource = DataSource(
name=f"Earth refresh: {source}",
source=source,
module="SYS",
collector_class="EarthRefreshJob",
is_active=True,
)
db.add(datasource)
await db.commit()
await db.refresh(datasource)
return datasource
async def _broadcast_task_update(task: CollectionTask) -> None:
await broadcaster.broadcast_datasource_task_update(
{
"datasource_id": task.datasource_id,
"collector_name": task.source,
"task_id": task.id,
"task_type": task.task_type,
"status": task.status,
"phase": task.phase,
"phase_progress": task.phase_progress,
"phase_message": task.phase_message,
"phase_current": task.phase_current,
"phase_total": task.phase_total,
"phase_unit": task.phase_unit,
"progress": task.progress,
"records_processed": task.records_processed,
"total_records": task.total_records,
"started_at": to_iso8601_utc(task.started_at),
"completed_at": to_iso8601_utc(task.completed_at),
"requested_cancel_at": to_iso8601_utc(task.requested_cancel_at),
"error_message": task.error_message,
}
)
class DataJobWorker:
def __init__(self, *, concurrency: int = DEFAULT_WORKER_CONCURRENCY) -> None:
self.worker_id = _job_worker_id()
self.concurrency = max(1, concurrency)
self._task: asyncio.Task[None] | None = None
self._stop_event: asyncio.Event | None = None
self._running: set[asyncio.Task[Any]] = set()
def start(self) -> None:
if self._task and not self._task.done():
return
self._stop_event = asyncio.Event()
self._task = asyncio.create_task(self._run(), name="data-job-worker")
async def stop(self) -> None:
if self._stop_event:
self._stop_event.set()
for task in list(self._running):
task.cancel()
if self._task:
await asyncio.gather(self._task, return_exceptions=True)
if self._running:
await asyncio.gather(*self._running, return_exceptions=True)
async def _run(self) -> None:
assert self._stop_event is not None
await self._recover_stale_running_jobs()
while not self._stop_event.is_set():
self._running = {task for task in self._running if not task.done()}
if len(self._running) >= self.concurrency:
await asyncio.sleep(QUEUE_POLL_SECONDS)
continue
task_id = await self._claim_next_job()
if task_id is None:
await asyncio.sleep(QUEUE_POLL_SECONDS)
continue
runner = asyncio.create_task(self._run_claimed_job(task_id), name=f"data-job:{task_id}")
self._running.add(runner)
async def _recover_stale_running_jobs(self) -> None:
cutoff = _utcnow() - timedelta(minutes=JOB_STALE_LOCK_MINUTES)
async with async_session_factory() as db:
result = await db.execute(
select(CollectionTask)
.where(CollectionTask.status.in_((JOB_STATUS_RUNNING, JOB_STATUS_CANCELLING)))
.where(CollectionTask.locked_at.is_not(None))
.where(CollectionTask.locked_at < cutoff)
)
stale_jobs = list(result.scalars().all())
for job in stale_jobs:
job.status = JOB_STATUS_FAILED
job.phase = JOB_STATUS_FAILED
job.completed_at = _utcnow()
job.error_message = "Marked failed after stale data job lock timeout"
if stale_jobs:
await db.commit()
async def _claim_next_job(self) -> int | None:
async with async_session_factory() as db:
row = await db.execute(
text(
"""
SELECT queued.id
FROM collection_tasks AS queued
WHERE queued.status = :queued_status
AND NOT EXISTS (
SELECT 1
FROM collection_tasks AS active
WHERE active.source = queued.source
AND active.id <> queued.id
AND active.status IN :active_statuses
)
ORDER BY queued.created_at ASC NULLS FIRST, queued.id ASC
LIMIT 1
FOR UPDATE SKIP LOCKED
"""
).bindparams(bindparam("active_statuses", expanding=True)),
{
"queued_status": JOB_STATUS_QUEUED,
"active_statuses": SOURCE_LOCK_JOB_STATUSES,
},
)
task_id = row.scalar_one_or_none()
if task_id is None:
return None
task = await db.get(CollectionTask, int(task_id))
if task is None:
return None
task.status = JOB_STATUS_RUNNING
task.phase = "starting"
task.phase_message = "任务开始执行"
task.started_at = task.started_at or _utcnow()
task.worker_id = self.worker_id
task.locked_at = _utcnow()
await db.commit()
await _broadcast_task_update(task)
return int(task_id)
async def _run_claimed_job(self, task_id: int) -> None:
current_task = asyncio.current_task()
if current_task is not None:
RUNNING_DATA_JOB_TASKS[task_id] = current_task
try:
async with async_session_factory() as db:
task = await db.get(CollectionTask, task_id)
if task is None:
return
await self._execute_job(db, task)
except asyncio.CancelledError:
async with async_session_factory() as db:
task = await db.get(CollectionTask, task_id)
if task is not None and not is_terminal_job_status(task.status):
task.status = JOB_STATUS_CANCELLED
task.phase = JOB_STATUS_CANCELLED
task.phase_message = "任务已停止"
task.completed_at = _utcnow()
await db.commit()
await _broadcast_task_update(task)
raise
except Exception as exc:
logger.exception_event(
"Data job failed",
event="data_jobs.job_failed",
context={"task_id": task_id, "error": str(exc)},
)
async with async_session_factory() as db:
task = await db.get(CollectionTask, task_id)
if task is not None:
task.status = JOB_STATUS_FAILED
task.phase = JOB_STATUS_FAILED
task.phase_message = str(exc)
task.error_message = str(exc)
task.completed_at = _utcnow()
await db.commit()
await _broadcast_task_update(task)
finally:
RUNNING_DATA_JOB_TASKS.pop(task_id, None)
async def _execute_job(self, db: AsyncSession, task: CollectionTask) -> None:
if task.task_type == JOB_TYPE_COLLECT:
await _run_collect_job(db, task)
elif task.task_type == JOB_TYPE_CLEAR_DATA:
await _run_clear_data_job(db, task)
elif task.task_type == JOB_TYPE_CLEAR_CACHE:
await _run_clear_cache_job(db, task)
elif task.task_type == JOB_TYPE_EARTH_REFRESH:
await _run_earth_refresh_job(db, task)
else:
raise RuntimeError(f"Unsupported data job type: {task.task_type}")
async def _run_collect_job(db: AsyncSession, task: CollectionTask) -> None:
datasource = await db.get(DataSource, task.datasource_id)
if datasource is None:
raise RuntimeError("Data source not found")
collector = collector_registry.get(datasource.source)
if collector is None:
raise RuntimeError(f"Collector '{datasource.source}' not found")
if not datasource.is_active:
raise RuntimeError("Data source is disabled")
collector._datasource_id = datasource.id
collector._current_task = task
collector._db_session = db
result = await collector.run(db)
datasource.last_run_at = _utcnow()
datasource.last_status = result.get("status")
if datasource.last_status == JOB_STATUS_SUCCESS:
effective_candidate = await get_builtin_effective_candidate(db, datasource.source)
checksum, _credential_context = await build_builtin_connectivity_checksum(
datasource.source,
effective_candidate["endpoint"],
effective_candidate["auth_type"],
effective_candidate["headers"],
effective_candidate["config"],
db,
)
await save_connectivity_success(
db,
datasource.source,
checksum,
{"status_code": None},
connected_by="collection",
)
await db.commit()
await sync_datasource_job(datasource.id)
async def _run_clear_data_job(db: AsyncSession, task: CollectionTask) -> None:
source = str(task.source or (task.payload or {}).get("source") or "").strip()
if not source:
raise RuntimeError("Clear data job has no source")
task.phase = "clearing_data"
task.phase_message = "正在删除数据库数据"
await db.commit()
await _broadcast_task_update(task)
count_result = await db.execute(
select(CollectedData.id).where(CollectedData.source == source)
)
collected_ids = [row[0] for row in count_result.all()]
derived_deleted_counts = await clear_derived_datasource_data(db, source)
if collected_ids:
await db.execute(CollectedData.__table__.delete().where(CollectedData.id.in_(collected_ids)))
deleted_count = len(collected_ids)
derived_deleted_count = sum(derived_deleted_counts.values())
task.records_processed = deleted_count + derived_deleted_count
task.total_records = task.records_processed
task.progress = 100.0
task.phase_progress = 100.0
task.phase_current = task.records_processed
task.phase_total = task.records_processed
task.phase_unit = "records"
task.payload = {
**(task.payload or {}),
"deleted_count": deleted_count,
"derived_deleted_count": derived_deleted_count,
"derived_deleted_counts": derived_deleted_counts,
}
task.status = JOB_STATUS_SUCCESS
task.phase = "completed"
task.phase_message = "数据库数据已清理"
task.completed_at = _utcnow()
await db.commit()
await _broadcast_task_update(task)
async def _run_clear_cache_job(db: AsyncSession, task: CollectionTask) -> None:
source = str(task.source or (task.payload or {}).get("source") or "").strip()
if not source:
raise RuntimeError("Clear cache job has no source")
earth_deleted_count = invalidate_earth_layer_cache_for_source(source)
dashboard_deleted_count = int(cache.delete("dashboard:stats")) + int(cache.delete("dashboard:summary"))
deleted_count = earth_deleted_count + dashboard_deleted_count
task.records_processed = deleted_count
task.total_records = deleted_count
task.progress = 100.0
task.phase_progress = 100.0
task.phase = "completed"
task.phase_message = "缓存已清理"
task.payload = {
**(task.payload or {}),
"earth_layer_deleted_count": earth_deleted_count,
"dashboard_deleted_count": dashboard_deleted_count,
}
task.status = JOB_STATUS_SUCCESS
task.completed_at = _utcnow()
await db.commit()
await _broadcast_task_update(task)
await enqueue_earth_refresh_job(db, source=source, payload={"operation": "CACHE_INVALIDATED"})
async def _run_earth_refresh_job(db: AsyncSession, task: CollectionTask) -> None:
payload = task.payload or {}
source = str(payload.get("source") or task.source or "").strip()
layers = list(payload.get("layers") or get_earth_update_layers_for_source(source))
if not source or not layers:
task.status = JOB_STATUS_SUCCESS
task.phase = "completed"
task.phase_message = "没有需要刷新的 Earth 图层"
task.completed_at = _utcnow()
await db.commit()
await _broadcast_task_update(task)
return
deleted_cache_entries = invalidate_earth_layer_cache_for_source(source)
update_payload = {
"event": "earth.layer.changed",
"action": "database_changed",
"source": source,
"table": payload.get("table"),
"data_type": source,
"layers": layers,
"refresh_strategy": payload.get("refresh_strategy") or "clear_then_reload",
"records_processed": payload.get("records_processed", 0),
"operations": payload.get("operations") or [payload.get("operation") or "CHANGE"],
"operation": payload.get("operation"),
"cache_entries_invalidated": deleted_cache_entries,
"timestamp": to_iso8601_utc(_utcnow()),
}
if payload.get("entity") == "interactable":
update_payload.update(
{
"entity": "interactable",
"action": payload.get("action") or "changed",
"ids": payload.get("ids") or payload.get("entity_keys") or [],
"item": payload.get("item"),
}
)
await broadcaster.broadcast_earth_update(update_payload)
task.records_processed = int(payload.get("records_processed") or 0)
task.progress = 100.0
task.phase_progress = 100.0
task.phase = "completed"
task.phase_message = "Earth 图层刷新通知已发送"
task.status = JOB_STATUS_SUCCESS
task.completed_at = _utcnow()
task.payload = {**payload, "cache_entries_invalidated": deleted_cache_entries}
await db.commit()
await _broadcast_task_update(task)
_worker = DataJobWorker()
def start_data_job_worker() -> None:
_worker.start()
async def stop_data_job_worker() -> None:
await _worker.stop()

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