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Author SHA1 Message Date
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
rayd1o
229be0bced release: bump version to 0.40.3 2026-04-25 23:02:22 +08:00
linkong
50a417ca83 release: bump version to 0.40.2 2026-04-24 17:50:43 +08:00
linkong
e9464a9833 release: bump version to 0.40.1 2026-04-24 17:28:03 +08:00
linkong
86807f6af6 release: bump version to 0.40.0 2026-04-24 15:41:42 +08:00
rayd1o
8b8f7138c0 release: bump version to 0.39.0 2026-04-24 00:48:33 +08:00
linkong
d5f3784ffb release: bump version to 0.38.0 2026-04-23 17:57:35 +08:00
linkong
195a8bf71c release: bump version to 0.37.2 2026-04-23 11:12:49 +08:00
linkong
987c378f99 release: bump version to 0.37.1 2026-04-23 11:05:30 +08:00
rayd1o
67f82dc41c release: bump version to 0.37.0 2026-04-23 07:56:10 +08:00
rayd1o
abe04030fb release: bump version to 0.36.0 2026-04-22 23:42:10 +08:00
linkong
6a5f9f7ad4 release: bump version to 0.35.1 2026-04-22 18:04:54 +08:00
linkong
439a512148 docs: add earth mobile drawer UI plan and Claude Code/Codex toolchain
- Add earth-mobile-drawer-ui-plan documenting mobile drawer UX decisions
- Add goal-driven.md Claude Code command for autonomous task execution
- Add .codex/ config with OpenAI model definitions and goal-driven agent
- Add SKILL.md, openai.yaml, and prompt-template for Codex integration
2026-04-22 17:37:00 +08:00
linkong
f73fa1ea6d release: bump version to 0.35.0 2026-04-22 17:29:24 +08:00
linkong
5b623a6385 release: bump version to 0.34.0 2026-04-22 12:49:37 +08:00
rayd1o
0082cf3fbd release: bump version to 0.33.0 2026-04-22 05:28:54 +08:00
rayd1o
3ae4acdff8 release: bump version to 0.32.0 2026-04-22 04:41:39 +08:00
rayd1o
437efc848c release: bump version to 0.31.3 2026-04-22 03:52:09 +08:00
rayd1o
003a46ac30 release: bump version to 0.31.2 2026-04-21 23:50:35 +08:00
rayd1o
4b0be4cb76 release: bump version to 0.31.1 2026-04-21 22:49:39 +08:00
linkong
b7647379de release: bump version to 0.31.0 2026-04-21 18:35:40 +08:00
linkong
0f89372d71 release: bump version to 0.30.0 2026-04-21 12:28:04 +08:00
linkong
2b0d4cfc49 release: bump version to 0.29.2 2026-04-21 10:43:48 +08:00
rayd1o
e6d0332fba release: bump version to 0.29.1 2026-04-20 22:12:19 +08:00
linkong
fe45a99cbd release: bump version to 0.29.0 2026-04-20 17:43:59 +08:00
linkong
ae77b06c3c docs: expand earth celestial background implementation plan 2026-04-20 16:29:03 +08:00
linkong
b5dd4f12f8 release: bump version to 0.28.2 2026-04-20 16:00:54 +08:00
linkong
75cb214f23 release: bump version to 0.28.1 2026-04-20 15:14:53 +08:00
396 changed files with 85190 additions and 5149 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

103
.claude/commands/docs.md Normal file
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@@ -0,0 +1,103 @@
---
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.
### 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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@@ -0,0 +1,93 @@
---
description: 用 goal-driven 方法推动一个复杂任务持续执行,直到明确成功标准被满足
argument-hint: 建议填写任务目标;若同时给出成功标准更好
allowed-tools: ["Read", "Edit", "Bash", "Grep", "Glob"]
---
# /goal-driven — 目标驱动执行模式
使用 `lidangzzz/goal-driven` 的核心思想来推进复杂任务:先固定目标与成功标准,再持续执行和反复验收,直到标准真正满足。
适用场景:
- 长周期实现任务
- 高复杂度工程任务
- 可被明确验收的研究、实现、迁移、验证类工作
不适用场景:
- 纯脑暴
- 无法定义成功标准的模糊任务
- 很小的一次性修改
## 输入要求
`$ARGUMENTS` 只包含目标,没有成功标准,先补全一版可执行的成功标准再开始。
启动时先输出:
```md
Goal
- ...
Criteria for success
- ...
Plan
1. ...
2. ...
3. ...
Verification
- ...
```
## 执行规则
1. 先把任务固化为两个核心块:
- `Goal`
- `Criteria for success`
2. 成功标准必须尽量客观,可验证,可落地。
优先写成:
- 需要交付什么
- 需要通过哪些测试或验证
- 如何判断结果真的完成
3. 进入持续执行循环:
- 完成一个阶段
- 检查当前结果是否满足成功标准
- 若未满足,明确剩余差距并继续推进
4. 任何“完成了”“差不多了”“已实现”之类的结论,都必须经过验证,不能直接接受。
5. 如果验证失败:
- 明确指出哪条成功标准没满足
- 继续工作,不要把阶段性进展误判为完成
6. 只有在以下情况之一才能停止:
- 成功标准已满足
- 用户明确要求停止
## 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
## 简版模板
```md
Goal: [[[[[在此填写最终目标]]]]]
Criteria for success: [[[[[在此填写成功标准]]]]]
循环执行:
1. 推进任务
2. 检查是否满足成功标准
3. 若未满足,继续工作
4. 直到满足标准或用户明确停止
```

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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

3
.codex/config.toml Normal file
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@@ -0,0 +1,3 @@
approval_policy = "never"
sandbox_mode = "danger-full-access"

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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 +1,82 @@
---
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.
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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@@ -0,0 +1,103 @@
---
name: goal-driven
description: Run a goal-driven execution loop for very large, long-horizon, rigorously verifiable tasks. Use when the user explicitly wants the lidangzzz/goal-driven method, a master-agent plus worker-agent style workflow, or a persistent loop that keeps working until concrete success criteria are satisfied.
---
# Goal-Driven
Use this skill when the user wants a strict goal-driven workflow for a hard task with:
- one clear end goal
- explicit success criteria
- repeated verification against those criteria
- continued execution until the criteria are actually met
This skill is adapted from `lidangzzz/goal-driven`, but trimmed for local skill use to avoid bloating context.
## When To Use
Use it for tasks like:
- compilers, interpreters, theorem-like proof work, deep refactors
- long-running system design or implementation work
- problems that are expensive and complex, but still objectively testable
Do not use it for:
- vague brainstorming without a success condition
- short one-shot edits
- tasks where "done" cannot be evaluated in a meaningful way
## Core Model
The workflow has two roles:
1. Master role
Defines the goal, defines the success criteria, audits progress, and decides whether the work is actually complete.
2. Worker role
Keeps advancing the task toward the goal. If a result is partial, stalled, or unverifiable, the worker continues.
In Codex, only use actual subagents when the user explicitly asks for delegation or subagent work and the platform supports it. Otherwise emulate the same loop locally: keep working, checkpointing, and re-verifying until the criteria are satisfied.
## Workflow
1. Normalize the task into two blocks:
- `Goal`
- `Criteria for success`
2. Make the criteria concrete and testable.
Good criteria usually include:
- required outputs
- required validations or tests
- edge cases or coverage thresholds
- what evidence proves completion
3. Break the work into milestones that can each produce evidence.
4. Execute the next milestone.
If subagents are explicitly allowed, the master may delegate bounded worker tasks.
If not, do the work locally but keep the master/worker mindset.
5. Whenever work pauses, stalls, or appears complete, audit against the criteria directly.
Check artifacts, tests, logs, diffs, metrics, or other real evidence.
6. If the criteria are not met, continue with a specific delta:
- what is still missing
- what evidence failed
- what the next worker pass must improve
7. Stop only when the criteria are met, or when the user explicitly stops the process.
## 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.
- Keep the goal stable unless the user changes it.
- Tighten fuzzy criteria before sinking large amounts of effort.
## Recommended Response Shape
When starting a goal-driven task, structure the kickoff like this:
```md
Goal
- ...
Criteria for success
- ...
Current plan
1. ...
2. ...
3. ...
Verification
- What evidence will prove completion
```
For a reusable prompt template, read [references/prompt-template.md](references/prompt-template.md).

View File

@@ -0,0 +1,7 @@
interface:
display_name: "Goal-Driven"
short_description: "Drive complex work until explicit success criteria are met."
default_prompt: "Use $goal-driven to turn this task into a concrete goal, explicit success criteria, and a verification-driven execution loop."
policy:
allow_implicit_invocation: true

View File

@@ -0,0 +1,38 @@
# Goal-Driven Prompt Template
Use this when you want a reusable kickoff prompt for a master/worker execution loop.
```md
# Goal-Driven System
Goal: [[[[[DEFINE THE FINAL GOAL HERE]]]]]
Criteria for success: [[[[[DEFINE THE SUCCESS CRITERIA HERE]]]]]
You are the master agent.
Your job is to:
1. Keep the goal and criteria fixed.
2. Start worker execution toward the goal.
3. Audit any claimed progress against the criteria.
4. If the criteria are not met, continue the work with a precise next delta.
5. Stop only when the criteria are satisfied or the user explicitly stops the process.
Worker requirements:
1. Break the task into subproblems.
2. Keep producing concrete progress toward the goal.
3. Report evidence, not just claims.
4. Continue until the criteria are satisfied.
Master audit loop:
1. Check whether the worker is still making progress.
2. If the worker stalls or claims completion, verify against the criteria.
3. If verification fails, resume work from the remaining gap.
4. Repeat until the criteria are met.
```
## Notes
- Stronger criteria produce better results than stronger rhetoric.
- Prefer measurable checks such as tests, parity checks, generated artifacts, benchmarks, or reviewable outputs.
- If the environment does not support subagents, emulate the same loop locally.

View File

@@ -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

114
README.md
View File

@@ -227,6 +227,108 @@ bun run build
启动服务后访问: `http://localhost:8000/docs`
## WSL / Windows 局域网访问
如果服务运行在 WSL 中,而你希望:
- Windows 本机浏览器访问开发服务
- 同一局域网内的手机或其他电脑访问开发服务
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`
### 2. 先确认 WSL 内部服务正常
在 WSL 中执行:
```bash
curl http://localhost:3000
curl http://localhost:8000/health
ss -ltnp | grep -E ':3000|:8000'
```
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`
如果这一步不通,先不要继续做 Windows 转发。
### 3. 在 Windows 本机验证 localhost 直通
在 Windows PowerShell 中执行:
```powershell
curl http://localhost:3000
curl http://localhost:8000/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,使用临时 Windows relay
`./planet.sh start --allow-lan` 在 WSL 下会优先使用临时 Windows relayWSL 和 Windows 本机 `localhost` 仍使用 `3000` / `8000`,局域网设备访问 Windows 局域网 IP 的 `3000` / `8000` 时由 relay 转发。relay 由脚本启动和停止;如果 WSL 目标端口断开relay 会自动退出并释放 Windows 局域网监听端口。
如果以前手动配置过持久 `portproxy`,脚本会在启动前检测 `3000` / `8000` 残留规则,并请求管理员 PowerShell 自动删除。若自动请求被取消,可以手动清理,避免 `iphlpsvc` 继续占用 `3000` / `8000`
```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
```
脚本会检测 Windows 防火墙是否已放行 `3000` / `8000`。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
```
### 5. 查 Windows 局域网 IP并让其他设备访问
在 Windows PowerShell 中执行:
```powershell
ipconfig
```
找到当前联网网卡的 IPv4 地址,例如 `192.168.8.228`
局域网其他设备可访问:
- `http://<Windows局域网IP>:3000/earth`
- `http://<Windows局域网IP>:3000/admin`
例如:
- `http://192.168.8.228:3000/earth`
### 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
建议固定按这个顺序验证:
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. 按脚本提示完成 Windows 防火墙 UAC 请求;如果曾手动配置过 `portproxy`,先清理旧规则
6. 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
`planet.sh` 现在为依赖安装、数据库、AI Provider 启动加入了有限次重试,并会在数据库与 `aiprovider` 启动后额外等待 Docker healthcheck。
@@ -249,7 +351,7 @@ 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`
@@ -328,11 +430,11 @@ AI_PROVIDER_SERVICE_TOKEN=change_me
详细文档:
- [docs/aiprovider.md](/home/ray/dev/linkong/planet/docs/aiprovider.md)
- [docs/technical/agents-aiprovider.md](/home/ray/dev/linkong/planet/docs/technical/agents-aiprovider.md)
- [aiprovider/README.md](/home/ray/dev/linkong/planet/aiprovider/README.md)
- [docs/frontend-layout-guidelines.md](/home/ray/dev/linkong/planet/docs/frontend-layout-guidelines.md)
- [docs/ai-playground-development-plan.md](/home/ray/dev/linkong/planet/docs/ai-playground-development-plan.md)
- [docs/situational-awareness-foundation-plan.md](/home/ray/dev/linkong/planet/docs/situational-awareness-foundation-plan.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)
## 前端页面布局规范
@@ -346,7 +448,7 @@ AI_PROVIDER_SERVICE_TOKEN=change_me
当前推荐参考实现:
- [frontend/src/pages/BGP/BGP.tsx](/home/ray/dev/linkong/planet/frontend/src/pages/BGP/BGP.tsx)
- [docs/frontend-layout-guidelines.md](/home/ray/dev/linkong/planet/docs/frontend-layout-guidelines.md)
- [docs/technical/frontend-layout-guidelines.md](/home/ray/dev/linkong/planet/docs/technical/frontend-layout-guidelines.md)
## License

89
TODO.md
View File

@@ -1,22 +1,71 @@
# 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] 把 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] 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
This file is the active backlog only. Completed history belongs in `docs/CHANGELOG.md`; detailed designs belong in `docs/plans/`.
## Earth
- [ ] High-precision country boundaries: implement the source-faithful static vector tile pipeline described in [Earth High Precision Boundary Tiles Plan](/home/ray/dev/linkong/planet/docs/plans/earth-high-precision-boundary-tiles-plan.md). Highest zoom must preserve trusted source geometry instead of smoothing or hand-drawing borders.
- [ ] 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, and the official dashed maritime claim line before implementing visual changes.
- [ ] 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
- [ ] 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] 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 @@
0.28.0
0.57.0

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 +1,12 @@
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
@@ -14,10 +20,14 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
&& 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 \
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

@@ -4,7 +4,7 @@
完整使用说明见:
- [docs/aiprovider.md](/home/ray/dev/linkong/planet/docs/aiprovider.md)
- [docs/agents/aiprovider.md](/home/ray/dev/linkong/planet/docs/agents/aiprovider.md)
当前支持:

View File

@@ -37,8 +37,26 @@ 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),
) -> 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,
}
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

@@ -46,19 +46,22 @@ 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.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.system_prompt = settings.AI_ANALYSIS_SYSTEM_PROMPT
def get_status(self) -> AIProviderStatusResponse:

View File

@@ -1,6 +1,10 @@
FROM python:3.14-slim
ARG PYTHON_IMAGE=python:3.14-slim
ARG UV_IMAGE=ghcr.io/astral-sh/uv:latest
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
FROM ${UV_IMAGE} AS uv
FROM ${PYTHON_IMAGE}
COPY --from=uv /uv /uvx /bin/
WORKDIR /app
@@ -8,6 +12,7 @@ ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV UV_COMPILE_BYTECODE=1
ENV UV_LINK_MODE=copy
ENV PYTHONPATH=/app/backend
RUN apt-get update && apt-get install -y --no-install-recommends \
curl \
@@ -21,4 +26,7 @@ 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

@@ -5,15 +5,20 @@ from app.api.v1 import (
users,
datasource_config,
datasources,
docs,
tasks,
dashboard,
websocket,
alerts,
settings,
collected_data,
data_products,
layers,
visualization,
vessel_aggregation,
vessels,
bgp,
news,
realtime_sources,
system_control,
tv,
)
@@ -28,12 +33,22 @@ 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(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(realtime_sources.router, prefix="/realtime-sources", tags=["realtime-sources"])

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 +277,119 @@ 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",
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

@@ -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)

View File

@@ -1,20 +1,52 @@
"""DataSourceConfig API for user-defined data sources"""
from typing import Optional
from typing import Any, Optional
from datetime import datetime
import base64
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy import select, func
import json
import re
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy import delete, select, func
from sqlalchemy.ext.asyncio import AsyncSession
from pydantic import BaseModel, Field
import httpx
from app.core.target_schema_registry import get_target_schema, list_target_schemas
from app.core.datasource_defaults import DEFAULT_DATASOURCES
from app.db.session import get_db
from app.models.user import User
from app.models.datasource_config import DataSourceConfig
from app.models.datasource_mapping import DataSourceMappingTemplate
from app.models.collected_data import CollectedData
from app.models.vessel import AISRawObservation, AISSourceHealth
from app.core.security import get_current_user
from app.core.cache import cache
from app.core.time import to_iso8601_utc
from app.schemas.ai import SituationalAnalysisRequest
from app.services.ai_client import AIProviderClient, get_ai_provider_client
from app.services.datasource_mapping import (
MappingError,
build_heuristic_mapping,
execute_mapping,
redact_for_llm,
stable_payload_hash,
)
from app.services.custom_datasource_runtime import (
CustomDatasourceRuntimeError,
fetch_rest_payload,
get_custom_stream_status,
run_mapped_rest_config,
run_mapped_websocket_config,
start_custom_stream,
stop_custom_stream,
test_websocket_config,
)
from app.services.datasource_connectivity import (
get_builtin_connection_status,
save_connectivity_success,
strip_connectivity_validation,
test_builtin_connectivity,
)
router = APIRouter()
@@ -22,7 +54,7 @@ router = APIRouter()
class DataSourceConfigCreate(BaseModel):
name: str = Field(..., min_length=1, max_length=100)
description: Optional[str] = None
source_type: str = Field(..., description="http, api, database")
source_type: str = Field(..., description="rest, websocket, http, api, database")
endpoint: str = Field(..., max_length=500)
auth_type: str = Field(default="none", description="none, bearer, api_key, basic")
auth_config: dict = Field(default={})
@@ -59,6 +91,70 @@ class DataSourceConfigResponse(BaseModel):
from_attributes = True
def _is_builtin_config_name(name: str | None) -> bool:
return bool(name and name in DEFAULT_DATASOURCES)
async def _ensure_builtin_connection_verified(
db: AsyncSession,
config_data: DataSourceConfigCreate,
) -> None:
if not _is_builtin_config_name(config_data.name):
return
status_result = await get_builtin_connection_status(
db,
config_data.name,
config_data.endpoint,
config_data.auth_type,
config_data.headers,
config_data.config,
)
if not status_result.get("connected"):
raise HTTPException(
status_code=400,
detail=status_result.get("message") or "请先完成连接验证,再保存内置采集器配置。",
)
class CustomSampleRequest(BaseModel):
datasource_config_id: Optional[int] = None
config: Optional[DataSourceConfigCreate] = None
limit_bytes: int = Field(default=200000, ge=1000, le=1000000)
class MappingProposeRequest(BaseModel):
sample_payload: Any
target_schema: str
use_ai: bool = True
class MappingPreviewRequest(BaseModel):
sample_payload: Any
target_schema: str
mapping_json: dict
limit: int = Field(default=20, ge=1, le=100)
class MappingTemplateCreate(BaseModel):
datasource_config_id: int
target_schema: str
mapping_json: dict
sample_payload: Any | None = None
sample_payload_hash: Optional[str] = None
validation_status: str = Field(default="draft", pattern="^(draft|valid|invalid)$")
is_active: bool = False
class MappingTemplateUpdate(BaseModel):
target_schema: Optional[str] = None
mapping_json: Optional[dict] = None
sample_payload: Any | None = None
sample_payload_hash: Optional[str] = None
validation_status: Optional[str] = Field(default=None, pattern="^(draft|valid|invalid)$")
is_active: Optional[bool] = None
async def test_endpoint(
endpoint: str,
auth_type: str,
@@ -96,6 +192,136 @@ async def test_endpoint(
}
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 = {}
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 fetch_custom_sample_from_config(config: DataSourceConfig, limit_bytes: int) -> Any:
if str(config.source_type or "").lower() in {"websocket", "ws"}:
raise HTTPException(status_code=400, detail="WebSocket sources must use connection test or run-mapped stream.")
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 HTTPException(status_code=400, detail="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")}
def _parse_mapping_from_ai_text(content: str) -> dict[str, Any] | None:
if not content:
return None
candidates = [content]
fenced = re.findall(r"```(?:json)?\s*(\{.*?\})\s*```", content, flags=re.DOTALL)
candidates = fenced + candidates
for candidate in candidates:
try:
parsed = json.loads(candidate)
except json.JSONDecodeError:
continue
if isinstance(parsed, dict) and isinstance(parsed.get("fields"), dict):
return parsed
return None
async def _get_config_for_sample(
payload: CustomSampleRequest,
db: AsyncSession,
) -> DataSourceConfig:
if payload.datasource_config_id is not None:
result = await db.execute(
select(DataSourceConfig).where(DataSourceConfig.id == payload.datasource_config_id)
)
config = result.scalar_one_or_none()
if not config:
raise HTTPException(status_code=404, detail="Configuration not found")
return config
if payload.config is None:
raise HTTPException(status_code=400, detail="datasource_config_id or config is required")
config_data = payload.config
return DataSourceConfig(
name=config_data.name,
description=config_data.description,
source_type=config_data.source_type,
endpoint=config_data.endpoint,
auth_type=config_data.auth_type,
auth_config=config_data.auth_config,
headers=config_data.headers,
config=config_data.config,
)
def serialize_mapping_template(template: DataSourceMappingTemplate) -> dict[str, Any]:
return {
"id": template.id,
"datasource_config_id": template.datasource_config_id,
"target_schema": template.target_schema,
"mapping_json": template.mapping_json,
"sample_payload_hash": template.sample_payload_hash,
"validation_status": template.validation_status,
"version": template.version,
"is_active": template.is_active,
"created_at": to_iso8601_utc(template.created_at),
"updated_at": to_iso8601_utc(template.updated_at),
}
@router.get("/configs")
async def list_configs(
active_only: bool = False,
@@ -105,7 +331,7 @@ async def list_configs(
"""List all user-defined data source configurations"""
query = select(DataSourceConfig)
if active_only:
query = query.where(DataSourceConfig.is_active == True)
query = query.where(DataSourceConfig.is_active)
query = query.order_by(DataSourceConfig.created_at.desc())
result = await db.execute(query)
@@ -132,6 +358,52 @@ async def list_configs(
}
@router.get("/configs/all")
async def list_all_datasources(
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""List all data sources: YAML defaults + DB overrides"""
from app.core.data_sources import COLLECTOR_URL_KEYS, get_data_sources_config
config = get_data_sources_config()
db_query = await db.execute(select(DataSourceConfig))
db_configs = {c.name: c for c in db_query.scalars().all()}
result = []
for name, yaml_key in COLLECTOR_URL_KEYS.items():
yaml_url = config.get_yaml_url(name)
db_config = db_configs.get(name)
result.append(
{
"name": name,
"default_url": yaml_url,
"endpoint": db_config.endpoint if db_config else yaml_url,
"is_overridden": db_config is not None and db_config.endpoint != yaml_url
if yaml_url
else db_config is not None,
"is_active": db_config.is_active if db_config else True,
"source_type": db_config.source_type if db_config else "http",
"auth_type": db_config.auth_type if db_config else "none",
"auth_configured": {
"api_key": bool((db_config.auth_config or {}).get("api_key"))
if db_config
else False,
},
"headers": db_config.headers if db_config else {},
"config": strip_connectivity_validation(db_config.config if db_config else {}),
"config_id": db_config.id if db_config else None,
"description": db_config.description
if db_config
else f"Data source from YAML: {yaml_key}",
}
)
return {"total": len(result), "data": result}
@router.get("/configs/{config_id}")
async def get_config(
config_id: int,
@@ -176,7 +448,7 @@ async def create_config(
auth_type=config_data.auth_type,
auth_config=config_data.auth_config,
headers=config_data.headers,
config=config_data.config,
config=strip_connectivity_validation(config_data.config),
)
db.add(config)
@@ -208,6 +480,10 @@ async def update_config(
update_data = config_data.model_dump(exclude_unset=True)
for field, value in update_data.items():
if field == "config":
value = strip_connectivity_validation(value)
if field == "auth_config" and value == {} and (config.auth_config or {}):
continue
setattr(config, field, value)
await db.commit()
@@ -225,6 +501,8 @@ async def update_config(
@router.delete("/configs/{config_id}")
async def delete_config(
config_id: int,
delete_mappings: bool = Query(False),
delete_source_data: bool = Query(False),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
@@ -235,12 +513,59 @@ async def delete_config(
if not config:
raise HTTPException(status_code=404, detail="Configuration not found")
deleted_mappings = 0
deleted_records = {
"collected_data": 0,
"ais_raw_observations": 0,
"ais_source_health": 0,
}
if delete_source_data:
collected_result = await db.execute(
delete(CollectedData).where(CollectedData.source == config.name)
)
raw_result = await db.execute(
delete(AISRawObservation).where(AISRawObservation.source == config.name)
)
health_result = await db.execute(
delete(AISSourceHealth).where(AISSourceHealth.source == config.name)
)
deleted_records = {
"collected_data": collected_result.rowcount or 0,
"ais_raw_observations": raw_result.rowcount or 0,
"ais_source_health": health_result.rowcount or 0,
}
if delete_mappings or delete_source_data:
mapping_result = await db.execute(
delete(DataSourceMappingTemplate).where(
DataSourceMappingTemplate.datasource_config_id == config_id
)
)
deleted_mappings = mapping_result.rowcount or 0
await db.delete(config)
await db.commit()
cache.delete_pattern("datasource_configs:*")
return {"message": "Configuration deleted successfully"}
if delete_source_data and (config.config or {}).get("target_schema") == "vessel_ais":
from app.core.websocket.broadcaster import broadcaster
await broadcaster.broadcast_custom(
"vessels",
{
"action": "reload",
"source": config.name,
"reason": "custom_source_deleted",
},
)
return {
"message": "Configuration deleted successfully",
"deleted_mappings": deleted_mappings,
"deleted_records": deleted_records,
}
@router.post("/configs/{config_id}/test")
@@ -257,6 +582,8 @@ async def test_config(
raise HTTPException(status_code=404, detail="Configuration not found")
try:
if str(config.source_type or "").lower() in {"websocket", "ws"}:
return await test_websocket_config(config)
result = await test_endpoint(
endpoint=config.endpoint,
auth_type=config.auth_type,
@@ -287,6 +614,18 @@ async def test_new_config(
):
"""Test a new data source configuration without saving"""
try:
if str(config_data.source_type or "").lower() in {"websocket", "ws"}:
config = DataSourceConfig(
name=config_data.name,
description=config_data.description,
source_type=config_data.source_type,
endpoint=config_data.endpoint,
auth_type=config_data.auth_type,
auth_config=config_data.auth_config,
headers=config_data.headers,
config=config_data.config,
)
return await test_websocket_config(config)
result = await test_endpoint(
endpoint=config_data.endpoint,
auth_type=config_data.auth_type,
@@ -310,38 +649,363 @@ async def test_new_config(
}
@router.get("/configs/all")
async def list_all_datasources(
@router.post("/configs/builtin/connection-status")
async def get_builtin_config_connection_status(
config_data: DataSourceConfigCreate,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""List all data sources: YAML defaults + DB overrides"""
from app.core.data_sources import COLLECTOR_URL_KEYS, get_data_sources_config
if not _is_builtin_config_name(config_data.name):
raise HTTPException(status_code=400, detail="Only built-in datasource configs are supported.")
config = get_data_sources_config()
return await get_builtin_connection_status(
db,
config_data.name,
config_data.endpoint,
config_data.auth_type,
config_data.headers,
config_data.config,
)
db_query = await db.execute(select(DataSourceConfig))
db_configs = {c.name: c for c in db_query.scalars().all()}
result = []
for name, yaml_key in COLLECTOR_URL_KEYS.items():
yaml_url = config.get_yaml_url(name)
db_config = db_configs.get(name)
@router.post("/configs/builtin/connect")
async def connect_builtin_config(
config_data: DataSourceConfigCreate,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
if not _is_builtin_config_name(config_data.name):
raise HTTPException(status_code=400, detail="Only built-in datasource configs are supported.")
result.append(
result = await test_builtin_connectivity(
config_data.name,
config_data.endpoint,
config_data.auth_type,
config_data.headers,
config_data.config,
db,
config_data.auth_config,
)
if result.get("success") and result.get("checksum"):
validation = await save_connectivity_success(
db,
config_data.name,
result["checksum"],
result,
connected_by="connection_button",
)
await db.commit()
return {
**result,
"connected": True,
"validation": validation,
}
return {
**result,
"connected": False,
}
@router.post("/custom/sample")
async def fetch_custom_sample(
payload: CustomSampleRequest,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""Fetch a sample payload for a saved or draft custom data source."""
config = await _get_config_for_sample(payload, db)
try:
sample = await fetch_custom_sample_from_config(config, payload.limit_bytes)
except httpx.HTTPStatusError as exc:
raise HTTPException(
status_code=exc.response.status_code,
detail=f"Sample request failed: HTTP {exc.response.status_code}",
) from exc
except httpx.HTTPError as exc:
raise HTTPException(status_code=502, detail=f"Sample request failed: {exc}") from exc
return {
"success": True,
"sample_payload": sample,
"sample_payload_hash": stable_payload_hash(sample),
"redacted_preview": redact_for_llm(sample),
}
@router.get("/target-schemas")
async def get_datasource_target_schemas(
current_user: User = Depends(get_current_user),
):
"""List target schemas available for custom datasource mapping."""
return {"data": list_target_schemas()}
@router.post("/mappings/propose")
async def propose_datasource_mapping(
payload: MappingProposeRequest,
current_user: User = Depends(get_current_user),
ai_client: AIProviderClient = Depends(get_ai_provider_client),
):
"""Generate a mapping draft for a sample payload and target schema."""
schema = get_target_schema(payload.target_schema)
redacted_sample = redact_for_llm(payload.sample_payload)
fallback_mapping = build_heuristic_mapping(redacted_sample, payload.target_schema)
ai_error: str | None = None
mapping = fallback_mapping
generated_by = "heuristic"
if payload.use_ai:
try:
response = await ai_client.analyze(
SituationalAnalysisRequest(
title=f"Generate datasource mapping for {schema.key}",
objective=(
"Return only JSON for a deterministic mapping DSL. "
"The JSON must contain source.items_path and fields. "
"Do not include prose or code."
),
context={
"target_schema": schema.to_dict(),
"sample_payload": redacted_sample,
"mapping_dsl_example": fallback_mapping,
},
observations=[
"Use JSONPath-like paths beginning with $.",
"Never generate executable code.",
"Use field types from the target schema.",
],
constraints=[
"Return a single JSON object.",
"Do not include credentials or secrets.",
"Mark uncertain optional fields with default null.",
],
)
)
parsed = _parse_mapping_from_ai_text(response.content)
if parsed:
mapping = parsed
generated_by = "ai_provider"
else:
ai_error = "AI provider did not return a valid mapping JSON object."
except HTTPException as exc:
ai_error = str(exc.detail)
mapping.setdefault("meta", {})
if isinstance(mapping["meta"], dict):
mapping["meta"].update(
{
"name": name,
"default_url": yaml_url,
"endpoint": db_config.endpoint if db_config else yaml_url,
"is_overridden": db_config is not None and db_config.endpoint != yaml_url
if yaml_url
else db_config is not None,
"is_active": db_config.is_active if db_config else True,
"source_type": db_config.source_type if db_config else "http",
"description": db_config.description
if db_config
else f"Data source from YAML: {yaml_key}",
"generated_by": generated_by,
"requires_review": True,
"ai_error": ai_error,
}
)
return {"total": len(result), "data": result}
return {
"target_schema": schema.to_dict(),
"mapping_json": mapping,
"sample_payload_hash": stable_payload_hash(payload.sample_payload),
"redacted_sample_payload": redacted_sample,
}
@router.post("/mappings/preview")
async def preview_datasource_mapping(
payload: MappingPreviewRequest,
current_user: User = Depends(get_current_user),
):
"""Preview deterministic mapping output for a sample payload."""
try:
preview = execute_mapping(
payload.sample_payload,
payload.mapping_json,
payload.target_schema,
limit=payload.limit,
)
except (MappingError, ValueError) as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
return {
"success": preview["failed_count"] == 0,
"preview": preview,
"sample_payload_hash": stable_payload_hash(payload.sample_payload),
}
@router.get("/mappings")
async def list_datasource_mappings(
datasource_config_id: Optional[int] = None,
active_only: bool = False,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""List saved mapping templates."""
query = select(DataSourceMappingTemplate).order_by(
DataSourceMappingTemplate.datasource_config_id,
DataSourceMappingTemplate.version.desc(),
)
if datasource_config_id is not None:
query = query.where(DataSourceMappingTemplate.datasource_config_id == datasource_config_id)
if active_only:
query = query.where(DataSourceMappingTemplate.is_active.is_(True))
result = await db.execute(query)
mappings = result.scalars().all()
return {"total": len(mappings), "data": [serialize_mapping_template(item) for item in mappings]}
@router.post("/mappings")
async def create_datasource_mapping(
payload: MappingTemplateCreate,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""Save a mapping template for a datasource config."""
get_target_schema(payload.target_schema)
datasource = await db.get(DataSourceConfig, payload.datasource_config_id)
if not datasource:
raise HTTPException(status_code=404, detail="Configuration not found")
if payload.sample_payload is not None:
try:
execute_mapping(payload.sample_payload, payload.mapping_json, payload.target_schema, limit=100)
except (MappingError, ValueError) as exc:
raise HTTPException(status_code=400, detail=f"Mapping validation failed: {exc}") from exc
result = await db.execute(
select(func.max(DataSourceMappingTemplate.version)).where(
DataSourceMappingTemplate.datasource_config_id == payload.datasource_config_id,
DataSourceMappingTemplate.target_schema == payload.target_schema,
)
)
next_version = int(result.scalar() or 0) + 1
if payload.is_active:
await db.execute(
DataSourceMappingTemplate.__table__.update()
.where(DataSourceMappingTemplate.datasource_config_id == payload.datasource_config_id)
.values(is_active=False)
)
template = DataSourceMappingTemplate(
datasource_config_id=payload.datasource_config_id,
target_schema=payload.target_schema,
mapping_json=payload.mapping_json,
sample_payload_hash=payload.sample_payload_hash
or (stable_payload_hash(payload.sample_payload) if payload.sample_payload is not None else None),
validation_status=payload.validation_status,
version=next_version,
is_active=payload.is_active,
)
db.add(template)
await db.commit()
await db.refresh(template)
return {"message": "Mapping template saved successfully", "data": serialize_mapping_template(template)}
@router.put("/mappings/{mapping_id}")
async def update_datasource_mapping(
mapping_id: int,
payload: MappingTemplateUpdate,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""Update a mapping template in place."""
template = await db.get(DataSourceMappingTemplate, mapping_id)
if not template:
raise HTTPException(status_code=404, detail="Mapping template not found")
target_schema = payload.target_schema or template.target_schema
mapping_json = payload.mapping_json or template.mapping_json
get_target_schema(target_schema)
if payload.sample_payload is not None:
try:
execute_mapping(payload.sample_payload, mapping_json, target_schema, limit=100)
except (MappingError, ValueError) as exc:
raise HTTPException(status_code=400, detail=f"Mapping validation failed: {exc}") from exc
if payload.is_active is True:
await db.execute(
DataSourceMappingTemplate.__table__.update()
.where(DataSourceMappingTemplate.datasource_config_id == template.datasource_config_id)
.where(DataSourceMappingTemplate.id != template.id)
.values(is_active=False)
)
template.target_schema = target_schema
template.mapping_json = mapping_json
if payload.sample_payload_hash is not None:
template.sample_payload_hash = payload.sample_payload_hash
elif payload.sample_payload is not None:
template.sample_payload_hash = stable_payload_hash(payload.sample_payload)
if payload.validation_status is not None:
template.validation_status = payload.validation_status
if payload.is_active is not None:
template.is_active = payload.is_active
await db.commit()
await db.refresh(template)
return {"message": "Mapping template updated successfully", "data": serialize_mapping_template(template)}
@router.post("/{config_id}/run-mapped")
async def run_mapped_datasource(
config_id: int,
background: bool = Query(False, description="For WebSocket sources, start a background stream task."),
debug_max_messages: int | None = Query(None, ge=1),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""Run a saved custom datasource through its active deterministic mapping."""
datasource = await db.get(DataSourceConfig, config_id)
if not datasource:
raise HTTPException(status_code=404, detail="Configuration not found")
try:
if str(datasource.source_type or "").lower() in {"websocket", "ws"}:
if background and debug_max_messages is None:
started = start_custom_stream(config_id)
if not started:
raise HTTPException(status_code=409, detail="Custom WebSocket source is already running")
return {
"status": "started",
"datasource_config_id": config_id,
"stream": get_custom_stream_status(config_id),
}
return await run_mapped_websocket_config(
db,
datasource,
debug_max_messages=debug_max_messages,
)
return await run_mapped_rest_config(db, datasource)
except httpx.HTTPStatusError as exc:
raise HTTPException(
status_code=exc.response.status_code,
detail=f"Datasource request failed: HTTP {exc.response.status_code}",
) from exc
except httpx.HTTPError as exc:
raise HTTPException(status_code=502, detail=f"Datasource request failed: {exc}") from exc
except (CustomDatasourceRuntimeError, MappingError, ValueError) as exc:
raise HTTPException(status_code=400, detail=f"Mapping failed: {exc}") from exc
@router.post("/{config_id}/stop-mapped")
async def stop_mapped_datasource(
config_id: int,
current_user: User = Depends(get_current_user),
):
stopped = await stop_custom_stream(config_id)
return {
"status": "stopped" if stopped else "not_running",
"datasource_config_id": config_id,
"stream": get_custom_stream_status(config_id),
}
@router.get("/{config_id}/stream-status")
async def get_mapped_stream_status(
config_id: int,
current_user: User = Depends(get_current_user),
):
return get_custom_stream_status(config_id)

View File

@@ -3,12 +3,14 @@ from datetime import datetime, timedelta, timezone
from typing import Optional
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy import func, select, text
from pydantic import BaseModel, Field
from sqlalchemy import func, or_, select, text
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.time import to_iso8601_utc
from app.core.security import get_current_user
from app.core.data_sources import get_data_sources_config
from app.core.datasource_defaults import DEFAULT_DATASOURCES
from app.db.session import get_db
from app.models.collected_data import CollectedData
from app.models.data_snapshot import DataSnapshot
@@ -16,6 +18,8 @@ from app.models.datasource import DataSource
from app.models.datasource_config import DataSourceConfig
from app.models.task import CollectionTask
from app.models.user import User
from app.models.vessel import AISRawObservation
from app.services.vessel_ais_aggregation import VESSEL_AIS_SCHEMA
from app.services.scheduler import (
cancel_running_collector_now,
get_latest_task_id_for_datasource,
@@ -26,6 +30,29 @@ from app.services.scheduler import (
router = APIRouter()
STALE_RUNNING_TASK_TIMEOUT_MINUTES = 90
PRODUCT_SOURCE_KEYWORDS: tuple[tuple[str, tuple[str, ...]], ...] = (
("vessels", ("vessel", "ais")),
("cables", ("cable", "landing", "telegeography", "arcgis", "fao")),
("satellites", ("tle", "satellite", "spacetrack", "celestrak")),
("bgp", ("bgp", "asn", "prefix_geo", "opengeofeed", "nro")),
("compute", ("top500", "gpu", "supercomputer", "compute")),
("ai", ("huggingface", "epoch_ai")),
("media", ("news", "tv", "live_stream")),
)
class DatasourceBatchTriggerRequest(BaseModel):
source_ids: list[int] = Field(default_factory=list)
force: bool = False
module: Optional[str] = None
product: Optional[str] = None
is_active: Optional[bool] = None
priority: Optional[str] = None
run_status: Optional[str] = None
collected: Optional[bool] = None
credential_status: Optional[str] = None
q: Optional[str] = None
def format_frequency_label(minutes: int) -> str:
if minutes % 1440 == 0:
@@ -35,6 +62,31 @@ def format_frequency_label(minutes: int) -> str:
return f"{minutes}m"
def datasource_metadata(source: str) -> dict:
info = DEFAULT_DATASOURCES.get(source, {})
return {
"display_name": info.get("display_name") or info.get("name") or source,
"is_free": bool(info.get("is_free", True)),
"requires_credentials": bool(info.get("requires_credentials", False)),
"credential_provider": info.get("credential_provider"),
"credential_status": info.get("credential_status", "none"),
}
def datasource_product_key(datasource: DataSource) -> str:
haystack = " ".join(
[
datasource.source or "",
datasource.name or "",
datasource.collector_class or "",
]
).lower()
for product, keywords in PRODUCT_SOURCE_KEYWORDS:
if any(keyword in haystack for keyword in keywords):
return product
return "other"
def is_due_for_collection(datasource: DataSource, now: datetime) -> bool:
if datasource.last_run_at is None:
return True
@@ -72,31 +124,6 @@ async def _load_latest_running_tasks(
return {task.datasource_id: task for task in result.scalars().all()}
async def _load_latest_completed_tasks(
db: AsyncSession,
datasource_ids: list[int],
) -> dict[int, CollectionTask]:
if not datasource_ids:
return {}
ranked_tasks = (
select(
CollectionTask.id.label("task_id"),
_task_rank_column(CollectionTask.completed_at),
)
.where(CollectionTask.datasource_id.in_(datasource_ids))
.where(CollectionTask.completed_at.isnot(None))
.where(CollectionTask.status.in_(("success", "failed", "cancelled")))
.subquery()
)
result = await db.execute(
select(CollectionTask)
.join(ranked_tasks, CollectionTask.id == ranked_tasks.c.task_id)
.where(ranked_tasks.c.row_num == 1)
)
return {task.datasource_id: task for task in result.scalars().all()}
async def _load_latest_task_ids(
db: AsyncSession,
datasource_ids: list[int],
@@ -123,7 +150,7 @@ async def _load_latest_task_ids(
return {datasource_id: task_id for datasource_id, task_id in result.all()}
async def _load_datasource_data_counts(
async def _load_collected_record_counts(
db: AsyncSession,
sources: list[str],
) -> dict[str, int]:
@@ -133,9 +160,29 @@ async def _load_datasource_data_counts(
result = await db.execute(
select(CollectedData.source, func.count(CollectedData.id))
.where(CollectedData.source.in_(sources))
.where(CollectedData.is_current.is_(True))
.group_by(CollectedData.source)
)
return {source: count for source, count in result.all()}
counts = {source: int(count or 0) for source, count in result.all()}
vessel_sources = [
source
for source in sources
if datasource_metadata(source)["credential_provider"] in {"aisstream", "barentswatch"}
or "vessel" in source
or "ais" in source
]
if vessel_sources:
raw_result = await db.execute(
select(AISRawObservation.source, func.count(AISRawObservation.id))
.where(AISRawObservation.target_schema == VESSEL_AIS_SCHEMA)
.where(AISRawObservation.source.in_(vessel_sources))
.group_by(AISRawObservation.source)
)
for source, count in raw_result.all():
counts[source] = max(counts.get(source, 0), int(count or 0))
return counts
async def _load_datasource_endpoint_overrides(
@@ -161,7 +208,7 @@ async def _load_datasource_endpoint_overrides(
async def _load_datasource_list_context(
db: AsyncSession,
datasources: list[DataSource],
) -> tuple[dict[int, CollectionTask], dict[int, CollectionTask], dict[str, int], dict[str, str]]:
) -> tuple[dict[int, CollectionTask], dict[str, str]]:
datasource_ids = [datasource.id for datasource in datasources]
sources = [datasource.source for datasource in datasources]
@@ -185,10 +232,194 @@ async def _load_datasource_list_context(
if stale_datasource_ids:
running_tasks = await _load_latest_running_tasks(db, datasource_ids)
completed_tasks = await _load_latest_completed_tasks(db, datasource_ids)
data_counts = await _load_datasource_data_counts(db, sources)
endpoint_overrides = await _load_datasource_endpoint_overrides(db, sources)
return running_tasks, completed_tasks, data_counts, endpoint_overrides
return running_tasks, endpoint_overrides
def _apply_datasource_query_filters(
query,
*,
module: Optional[str] = None,
is_active: Optional[bool] = None,
priority: Optional[str] = None,
run_status: Optional[str] = None,
q: Optional[str] = None,
) -> object:
if module:
query = query.where(DataSource.module == module)
if is_active is not None:
query = query.where(DataSource.is_active == is_active)
if priority:
query = query.where(DataSource.priority == priority)
if run_status and run_status not in {"running", "collected", "uncollected"}:
if run_status == "not_run":
query = query.where(DataSource.last_status.is_(None))
else:
query = query.where(DataSource.last_status == run_status)
if q:
like_value = f"%{q.strip()}%"
query = query.where(
or_(
DataSource.name.ilike(like_value),
DataSource.source.ilike(like_value),
DataSource.collector_class.ilike(like_value),
)
)
return query
def _filter_datasources_in_memory(
datasources: list[DataSource],
*,
running_tasks: dict[int, CollectionTask],
record_counts: dict[str, int],
product: Optional[str] = None,
run_status: Optional[str] = None,
collected: Optional[bool] = None,
credential_status: Optional[str] = None,
) -> list[DataSource]:
filtered: list[DataSource] = []
for datasource in datasources:
record_count = record_counts.get(datasource.source, 0)
if product and datasource_product_key(datasource) != product:
continue
if collected is not None and (record_count > 0) != collected:
continue
if credential_status:
metadata = datasource_metadata(datasource.source)
if metadata["credential_status"] != credential_status:
continue
if run_status == "running" and datasource.id not in running_tasks:
continue
if run_status == "collected" and record_count <= 0:
continue
if run_status == "uncollected" and record_count > 0:
continue
filtered.append(datasource)
return filtered
async def _trigger_datasource_batch(
db: AsyncSession,
datasources: list[DataSource],
*,
force: bool,
) -> dict:
if not datasources:
return {
"status": "noop",
"message": "No matching data sources to trigger",
"force": force,
"triggered": [],
"skipped": [],
"failed": [],
}
previous_task_ids: dict[int, Optional[int]] = {}
triggered_sources: list[dict] = []
skipped_sources: list[dict] = []
failed_sources: list[dict] = []
now = datetime.now(timezone.utc)
running_tasks = await _load_latest_running_tasks(
db,
[datasource.id for datasource in datasources],
)
for datasource in datasources:
if not datasource.is_active:
skipped_sources.append(
{
"id": datasource.id,
"source": datasource.source,
"name": datasource.name,
"reason": "disabled",
}
)
continue
running_task = running_tasks.get(datasource.id)
if running_task is not None:
if not force:
skipped_sources.append(
{
"id": datasource.id,
"source": datasource.source,
"name": datasource.name,
"reason": "already_running",
"task_id": running_task.id,
}
)
continue
cancelled = await cancel_running_collector_now(datasource.source)
if not cancelled:
await rollback_orphaned_running_task(db, datasource, running_task)
if not force and not is_due_for_collection(datasource, now):
skipped_sources.append(
{
"id": datasource.id,
"source": datasource.source,
"name": datasource.name,
"reason": "within_frequency_window",
"last_run_at": to_iso8601_utc(datasource.last_run_at),
"next_run_at": to_iso8601_utc(
datasource.last_run_at + timedelta(minutes=datasource.frequency_minutes)
),
}
)
continue
previous_task_ids[datasource.id] = None
success = run_collector_now(datasource.source)
if not success:
failed_sources.append(
{
"id": datasource.id,
"source": datasource.source,
"name": datasource.name,
"reason": "trigger_failed",
}
)
continue
triggered_sources.append(
{
"id": datasource.id,
"source": datasource.source,
"name": datasource.name,
"task_id": None,
}
)
latest_task_ids = await _load_latest_task_ids(
db,
[datasource.id for datasource in datasources],
)
for datasource_id in previous_task_ids:
previous_task_ids[datasource_id] = latest_task_ids.get(datasource_id)
for _ in range(20):
await asyncio.sleep(0.1)
pending = [item for item in triggered_sources if item["task_id"] is None]
if not pending:
break
latest_task_ids = await _load_latest_task_ids(
db,
[item["id"] for item in pending],
)
for item in pending:
task_id = latest_task_ids.get(item["id"])
if task_id is not None and task_id != previous_task_ids.get(item["id"]):
item["task_id"] = task_id
return {
"status": "triggered" if triggered_sources else "partial",
"message": f"Triggered {len(triggered_sources)} data sources",
"force": force,
"triggered": triggered_sources,
"skipped": skipped_sources,
"failed": failed_sources,
}
async def get_datasource_record(db: AsyncSession, source_id: str) -> Optional[DataSource]:
@@ -385,42 +616,54 @@ async def list_datasources(
module: Optional[str] = None,
is_active: Optional[bool] = None,
priority: Optional[str] = None,
product: Optional[str] = None,
run_status: Optional[str] = None,
collected: Optional[bool] = None,
credential_status: Optional[str] = None,
q: Optional[str] = None,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
query = select(DataSource).order_by(DataSource.module, DataSource.id)
if module:
query = query.where(DataSource.module == module)
if is_active is not None:
query = query.where(DataSource.is_active == is_active)
if priority:
query = query.where(DataSource.priority == priority)
query = _apply_datasource_query_filters(
query,
module=module,
is_active=is_active,
priority=priority,
run_status=run_status,
q=q,
)
result = await db.execute(query)
datasources = result.scalars().all()
collector_list = []
config = get_data_sources_config()
running_tasks, completed_tasks, data_counts, endpoint_overrides = await _load_datasource_list_context(
db,
running_tasks, endpoint_overrides = await _load_datasource_list_context(db, datasources)
record_counts = await _load_collected_record_counts(db, [datasource.source for datasource in datasources])
datasources = _filter_datasources_in_memory(
datasources,
running_tasks=running_tasks,
record_counts=record_counts,
product=product,
run_status=run_status,
collected=collected,
credential_status=credential_status,
)
for datasource in datasources:
running_task = running_tasks.get(datasource.id)
last_task = completed_tasks.get(datasource.id)
endpoint = endpoint_overrides.get(datasource.source) or config.get_yaml_url(
datasource.source,
)
data_count = data_counts.get(datasource.source, 0)
last_run_at = datasource.last_run_at or (last_task.completed_at if last_task else None)
last_run = to_iso8601_utc(last_run_at)
last_status = datasource.last_status or (last_task.status if last_task else None)
endpoint = endpoint_overrides.get(datasource.source) or config.get_yaml_url(datasource.source)
last_run_at = datasource.last_run_at
last_status = datasource.last_status
collected_records = record_counts.get(datasource.source, 0)
collector_list.append(
{
"id": datasource.id,
"source": datasource.source,
"name": datasource.name,
**datasource_metadata(datasource.source),
"product": datasource_product_key(datasource),
"module": datasource.module,
"priority": datasource.priority,
"frequency": format_frequency_label(datasource.frequency_minutes),
@@ -428,17 +671,22 @@ async def list_datasources(
"is_active": datasource.is_active,
"collector_class": datasource.collector_class,
"endpoint": endpoint,
"last_run": last_run,
"last_run": to_iso8601_utc(last_run_at),
"last_run_at": to_iso8601_utc(last_run_at),
"last_status": last_status,
"last_records_processed": last_task.records_processed if last_task else None,
"data_count": data_count,
"is_running": running_task is not None,
"task_id": running_task.id if running_task else None,
"progress": running_task.progress if running_task else None,
"phase": running_task.phase if running_task else None,
"phase_progress": running_task.phase_progress if running_task else None,
"phase_message": running_task.phase_message if running_task else None,
"phase_current": running_task.phase_current if running_task else None,
"phase_total": running_task.phase_total if running_task else None,
"phase_unit": running_task.phase_unit if running_task else None,
"records_processed": running_task.records_processed if running_task else None,
"total_records": running_task.total_records if running_task else None,
"collected_records": collected_records,
"has_collected_data": collected_records > 0,
}
)
@@ -453,110 +701,46 @@ async def trigger_all_datasources(
):
result = await db.execute(
select(DataSource)
.where(DataSource.is_active == True)
.where(DataSource.is_active.is_(True))
.order_by(DataSource.module, DataSource.id)
)
datasources = result.scalars().all()
return await _trigger_datasource_batch(db, datasources, force=force)
if not datasources:
return {
"status": "noop",
"message": "No active data sources to trigger",
"triggered": [],
"skipped": [],
"failed": [],
}
previous_task_ids: dict[int, Optional[int]] = {}
triggered_sources: list[dict] = []
skipped_sources: list[dict] = []
failed_sources: list[dict] = []
now = datetime.now(timezone.utc)
running_tasks = await _load_latest_running_tasks(
db,
[datasource.id for datasource in datasources],
)
for datasource in datasources:
running_task = running_tasks.get(datasource.id)
if running_task is not None:
skipped_sources.append(
{
"id": datasource.id,
"source": datasource.source,
"name": datasource.name,
"reason": "already_running",
"task_id": running_task.id,
}
)
continue
if not force and not is_due_for_collection(datasource, now):
skipped_sources.append(
{
"id": datasource.id,
"source": datasource.source,
"name": datasource.name,
"reason": "within_frequency_window",
"last_run_at": to_iso8601_utc(datasource.last_run_at),
"next_run_at": to_iso8601_utc(
datasource.last_run_at + timedelta(minutes=datasource.frequency_minutes)
),
}
)
continue
previous_task_ids[datasource.id] = None
success = run_collector_now(datasource.source)
if not success:
failed_sources.append(
{
"id": datasource.id,
"source": datasource.source,
"name": datasource.name,
"reason": "trigger_failed",
}
)
continue
triggered_sources.append(
{
"id": datasource.id,
"source": datasource.source,
"name": datasource.name,
"task_id": None,
}
@router.post("/trigger-batch")
async def trigger_datasource_batch(
payload: DatasourceBatchTriggerRequest,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
query = select(DataSource).order_by(DataSource.module, DataSource.id)
if payload.source_ids:
query = query.where(DataSource.id.in_(payload.source_ids))
else:
query = _apply_datasource_query_filters(
query,
module=payload.module,
is_active=payload.is_active,
priority=payload.priority,
run_status=payload.run_status,
q=payload.q,
)
latest_task_ids = await _load_latest_task_ids(
db,
[datasource.id for datasource in datasources],
result = await db.execute(query)
datasources = result.scalars().all()
running_tasks, _ = await _load_datasource_list_context(db, datasources)
record_counts = await _load_collected_record_counts(db, [datasource.source for datasource in datasources])
datasources = _filter_datasources_in_memory(
datasources,
running_tasks=running_tasks,
record_counts=record_counts,
product=None if payload.source_ids else payload.product,
run_status=None if payload.source_ids else payload.run_status,
collected=None if payload.source_ids else payload.collected,
credential_status=None if payload.source_ids else payload.credential_status,
)
for datasource_id in previous_task_ids:
previous_task_ids[datasource_id] = latest_task_ids.get(datasource_id)
for _ in range(20):
await asyncio.sleep(0.1)
pending = [item for item in triggered_sources if item["task_id"] is None]
if not pending:
break
latest_task_ids = await _load_latest_task_ids(
db,
[item["id"] for item in pending],
)
for item in pending:
task_id = latest_task_ids.get(item["id"])
if task_id is not None and task_id != previous_task_ids.get(item["id"]):
item["task_id"] = task_id
return {
"status": "triggered" if triggered_sources else "partial",
"message": f"Triggered {len(triggered_sources)} data sources",
"force": force,
"triggered": triggered_sources,
"skipped": skipped_sources,
"failed": failed_sources,
}
return await _trigger_datasource_batch(db, datasources, force=payload.force)
@router.get("/{source_id}")
@@ -575,6 +759,7 @@ async def get_datasource(
return {
"id": datasource.id,
"name": datasource.name,
**datasource_metadata(datasource.source),
"module": datasource.module,
"priority": datasource.priority,
"frequency": format_frequency_label(datasource.frequency_minutes),
@@ -664,6 +849,11 @@ async def trigger_datasource(
"message": "当前采集任务尚未完成,重新触发会丢失本次未完成进度。是否强制重新采集?",
"task_id": running_task.id,
"phase": running_task.phase,
"phase_progress": running_task.phase_progress,
"phase_message": running_task.phase_message,
"phase_current": running_task.phase_current,
"phase_total": running_task.phase_total,
"phase_unit": running_task.phase_unit,
"progress": running_task.progress,
"records_processed": running_task.records_processed,
"total_records": running_task.total_records,
@@ -747,13 +937,29 @@ async def get_task_status(
task = await get_running_task(db, datasource.id)
if not task:
return {"is_running": False, "task_id": None, "progress": None, "phase": None, "status": "idle"}
return {
"is_running": False,
"task_id": None,
"progress": None,
"phase": None,
"phase_progress": None,
"phase_message": None,
"phase_current": None,
"phase_total": None,
"phase_unit": None,
"status": "idle",
}
return {
"is_running": task.status == "running",
"task_id": task.id,
"progress": task.progress,
"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,
"records_processed": task.records_processed,
"total_records": task.total_records,
"status": task.status,

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"),
}

View File

@@ -0,0 +1,229 @@
from typing import Any, Optional
from fastapi import APIRouter, Depends, HTTPException, Query
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),
):
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,
)
@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

@@ -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

@@ -4,12 +4,15 @@ import os
import subprocess
import sys
from fastapi import APIRouter, Depends, HTTPException, status
from datetime import datetime
from fastapi import APIRouter, Depends, HTTPException, Query, Request, status
from pydantic import BaseModel
from app.core.config import ROOT_DIR
from app.core.security import get_current_user
from app.models.user import User
from app.services.persistent_logs import record_audit_log, record_system_log
from app.services.system_control import (
build_task_id,
clear_active_task_id,
@@ -23,6 +26,15 @@ from app.services.system_control import (
set_active_task_id,
upsert_task_state,
)
from app.services.system_logs import (
DEFAULT_LOG_LINE_LIMIT,
MAX_LOG_LINE_LIMIT,
SUPPORTED_LOG_LEVELS,
append_buffer_log,
list_log_sources,
normalize_log_level,
read_log_snapshot,
)
router = APIRouter()
@@ -47,6 +59,59 @@ class RestartTaskLogsResponse(BaseModel):
lines: list[str]
class SystemLogSourceSummary(BaseModel):
source_id: str
name: str
kind: str
location: str
description: str
category: str
status: str
class SystemLogSourcesResponse(BaseModel):
items: list[SystemLogSourceSummary]
class SystemLogDailyMarker(BaseModel):
date_token: str
total: int
dominant_level: str
class SystemLogSnapshotResponse(BaseModel):
source_id: str
name: str
kind: str
location: str
description: str
category: str
status: str
level: str
selected_levels: list[str] = []
search_query: str = ""
available_levels: list[str]
daily_markers: list[SystemLogDailyMarker] = []
line_limit: int
line_count: int
lines: list[str]
class EarthClientLogEventCreate(BaseModel):
level: str = "error"
message: str
category: str | None = None
url: str | None = None
module: str | None = None
detail: str | None = None
class EarthClientLogEventResponse(BaseModel):
accepted: bool
source_id: str
level: str
def ensure_super_admin(current_user: User) -> None:
if not require_super_admin(current_user.role):
raise HTTPException(
@@ -55,9 +120,22 @@ def ensure_super_admin(current_user: User) -> None:
)
def validate_log_date(raw_value: str | None, field_name: str) -> str | None:
if raw_value in {None, ""}:
return None
try:
return datetime.strptime(raw_value, "%Y-%m-%d").date().isoformat()
except ValueError as exc:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"{field_name} must be in YYYY-MM-DD format",
) from exc
@router.post("/restart-tasks", response_model=RestartTaskResponse)
async def create_restart_task(
payload: RestartTaskCreate,
request: Request,
current_user: User = Depends(get_current_user),
):
ensure_super_admin(current_user)
@@ -133,11 +211,31 @@ async def create_restart_task(
requested_by=requested_by,
)
clear_active_task_id(task_id)
await record_audit_log(
action="system.restart_task.requested",
actor_id=current_user.id,
actor_name=current_user.username,
target_type="restart_task",
target_id=task_id,
result="failed",
ip=request.client.host if request.client else None,
details={"action": payload.action, "message": task_state["message"]},
)
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=task_state["message"],
) from exc
await record_audit_log(
action="system.restart_task.requested",
actor_id=current_user.id,
actor_name=current_user.username,
target_type="restart_task",
target_id=task_id,
result="accepted",
ip=request.client.host if request.client else None,
details={"action": payload.action},
)
return task_state
@@ -165,3 +263,92 @@ async def get_restart_task_logs(
if task is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Restart task not found")
return {"task_id": task_id, "lines": get_task_logs(task_id)}
@router.get("/logs/sources", response_model=SystemLogSourcesResponse)
async def get_system_log_sources(
current_user: User = Depends(get_current_user),
):
ensure_super_admin(current_user)
return {"items": list_log_sources()}
@router.get("/logs/{source_id}", response_model=SystemLogSnapshotResponse)
async def get_system_log_snapshot(
source_id: str,
limit: int = DEFAULT_LOG_LINE_LIMIT,
level: str = "all",
levels: str | None = Query(None, description="Comma-separated log levels"),
start_date: str | None = Query(None, description="Filter logs from this date (YYYY-MM-DD)"),
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),
):
ensure_super_admin(current_user)
if limit < 1 or limit > MAX_LOG_LINE_LIMIT:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"limit must be between 1 and {MAX_LOG_LINE_LIMIT}",
)
if str(level).strip().lower() not in SUPPORTED_LOG_LEVELS and normalize_log_level(level) == "all" and str(level).strip().lower() not in {"", "all"}:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Unsupported log level")
if levels:
for raw_level in str(levels).split(","):
normalized_level = str(raw_level).strip().lower()
if not normalized_level:
continue
if normalized_level not in SUPPORTED_LOG_LEVELS and normalize_log_level(normalized_level) == "all":
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Unsupported log level")
normalized_start_date = validate_log_date(start_date, "start_date")
normalized_end_date = validate_log_date(end_date, "end_date")
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(
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
@router.post("/logs/earth-client", response_model=EarthClientLogEventResponse)
async def ingest_earth_client_log(
payload: EarthClientLogEventCreate,
request: Request,
):
normalized_level = normalize_log_level(payload.level)
append_buffer_log(
"earth-client",
level=normalized_level,
message=payload.message,
context={
"category": payload.category or "",
"url": payload.url or "",
"module": payload.module or "",
"detail": payload.detail or "",
},
)
await record_system_log(
source="earth-client",
service="earth",
module=payload.module or "earth-client",
event="earth.client.runtime_log",
level=normalized_level,
message=payload.message,
category=payload.category or "client-runtime",
context={
"url": payload.url or "",
"detail": payload.detail or "",
"module": payload.module or "",
"client_ip": request.client.host if request.client else "",
},
)
return {"accepted": True, "source_id": "earth-client", "level": normalized_level}

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 +1,39 @@
"""Bounded vessel snapshot APIs for viewport-first consumers."""
from typing import Optional
from fastapi import APIRouter, Depends, HTTPException, Query
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),
):
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,
)

File diff suppressed because it is too large Load Diff

View File

@@ -1,8 +1,6 @@
"""WebSocket API endpoints"""
import asyncio
import json
import logging
from datetime import UTC, datetime
from typing import Optional
@@ -10,10 +8,11 @@ from fastapi import APIRouter, WebSocket, WebSocketDisconnect, Query
from jose import jwt, JWTError
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.manager import manager
logger = logging.getLogger(__name__)
logger = get_logger(__name__, service="api")
router = APIRouter()
@@ -22,28 +21,52 @@ async def authenticate_token(token: str) -> Optional[dict]:
try:
payload = jwt.decode(token, settings.SECRET_KEY, algorithms=[settings.ALGORITHM])
if payload.get("type") != "access":
logger.warning(f"WebSocket auth failed: wrong token type")
logger.warning_event(
"WebSocket auth failed: wrong token type",
event="auth.websocket.invalid_token_type",
)
return None
return payload
except JWTError as e:
logger.warning(f"WebSocket auth failed: {e}")
logger.warning_event(
"WebSocket auth failed",
event="auth.websocket.decode_failed",
context={"error": str(e)},
)
return None
@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(f"WebSocket connection attempt with token: {token[:20]}...")
payload = await authenticate_token(token)
if payload is None:
logger.warning("WebSocket authentication failed, closing connection")
logger.info_event(
"WebSocket connection attempt",
event="auth.websocket.connection_attempt",
context={"token_preview": f"{token[:8]}..." if token else "anonymous"},
)
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",
)
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"] if is_anonymous else [
"gpu_clusters",
"submarine_cables",
"ixp_nodes",
"alerts",
"dashboard",
"datasource_tasks",
"vessels",
]
await manager.connect(websocket, user_id)
try:
@@ -54,14 +77,7 @@ 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,
},
}
)
@@ -78,11 +94,53 @@ 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

@@ -1,15 +1,15 @@
"""Redis caching service"""
import json
import logging
from datetime import timedelta
from typing import Optional, Any
import redis
from app.core.config import settings
from app.core.logging import get_logger
logger = logging.getLogger(__name__)
logger = get_logger(__name__)
# Lazy Redis client initialization
@@ -47,7 +47,7 @@ class CacheService:
return json.loads(value)
return None
except Exception as e:
logger.warning(f"Cache get error: {e}")
logger.warning_event("Cache get error", event="cache.get.failed", context={"error": str(e)})
return None
def set(
@@ -61,7 +61,7 @@ class CacheService:
serialized = json.dumps(value, default=str)
return self.client.setex(key, expire_seconds, serialized)
except Exception as e:
logger.warning(f"Cache set error: {e}")
logger.warning_event("Cache set error", event="cache.set.failed", context={"error": str(e)})
return False
def delete(self, key: str) -> bool:
@@ -69,7 +69,7 @@ class CacheService:
try:
return self.client.delete(key) > 0
except Exception as e:
logger.warning(f"Cache delete error: {e}")
logger.warning_event("Cache delete error", event="cache.delete.failed", context={"error": str(e)})
return False
def delete_pattern(self, pattern: str) -> int:
@@ -80,7 +80,7 @@ class CacheService:
return self.client.delete(*keys)
return 0
except Exception as e:
logger.warning(f"Cache delete_pattern error: {e}")
logger.warning_event("Cache delete_pattern error", event="cache.delete_pattern.failed", context={"error": str(e)})
return 0
def get_or_set(

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 = {
@@ -30,6 +29,9 @@ COLLECTOR_URL_KEYS = {
"iptoasn_prefix_geo": "iptoasn.combined_url",
"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",
}
@@ -72,7 +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

@@ -86,3 +86,19 @@ opengeofeed:
nro:
# NRO delegated stats 下载地址
delegated_stats_url: "https://ftp.ripe.net/pub/stats/ripencc/nro-stats/latest/nro-delegated-stats"
news_live_streams:
# IPTV-org 频道元数据 JSON
channels_url: "https://iptv-org.github.io/api/channels.json"
# IPTV-org 频道播放流 JSON
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 +4,258 @@ 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",
},
}

161
backend/app/core/logging.py Normal file
View File

@@ -0,0 +1,161 @@
from __future__ import annotations
import json
import logging
import os
import re
from collections.abc import Mapping, Sequence
from typing import Any
from app.core.request_context import get_request_id
DEFAULT_SERVICE = "backend"
DEFAULT_EVENT = "app.log"
DEFAULT_LOG_LEVEL = os.getenv("PLANET_LOG_LEVEL", "INFO").upper()
REDACTED = "[REDACTED]"
SENSITIVE_FIELD_NAMES = {
"access_token",
"api_key",
"authorization",
"cookie",
"password",
"refresh_token",
"secret",
"token",
}
SENSITIVE_TEXT_PATTERNS = (
re.compile(r"(?i)(authorization\s*[:=]\s*)(.+)"),
re.compile(r"(?i)(bearer\s+)([A-Za-z0-9._\-]+)"),
re.compile(r"(?i)(token\s*[:=]\s*)(.+)"),
re.compile(r"(?i)(password\s*[:=]\s*)(.+)"),
re.compile(r"(?i)(cookie\s*[:=]\s*)(.+)"),
)
def sanitize_log_value(value: Any) -> Any:
if isinstance(value, Mapping):
return {
str(key): (REDACTED if str(key).lower() in SENSITIVE_FIELD_NAMES else sanitize_log_value(item))
for key, item in value.items()
}
if isinstance(value, Sequence) and not isinstance(value, (str, bytes, bytearray)):
return [sanitize_log_value(item) for item in value]
if isinstance(value, str):
sanitized = value
for pattern in SENSITIVE_TEXT_PATTERNS:
sanitized = pattern.sub(lambda match: f"{match.group(1)}{REDACTED}", sanitized)
return sanitized
return value
def _normalize_context(context: Any) -> dict[str, Any]:
if context is None:
return {}
if isinstance(context, Mapping):
sanitized = sanitize_log_value(context)
return {str(key): value for key, value in sanitized.items()}
return {"value": sanitize_log_value(context)}
class PlanetContextFilter(logging.Filter):
def filter(self, record: logging.LogRecord) -> bool:
record.request_id = getattr(record, "request_id", None) or get_request_id() or "-"
record.service = getattr(record, "service", None) or DEFAULT_SERVICE
record.event = getattr(record, "event", None) or DEFAULT_EVENT
record.context = _normalize_context(getattr(record, "context", None))
record.message = sanitize_log_value(record.getMessage())
return True
class PlanetFormatter(logging.Formatter):
def format(self, record: logging.LogRecord) -> str:
timestamp = self.formatTime(record, self.datefmt)
level = record.levelname
service = getattr(record, "service", DEFAULT_SERVICE)
module_name = record.name
event = getattr(record, "event", DEFAULT_EVENT)
request_id = getattr(record, "request_id", "-")
message = sanitize_log_value(record.getMessage())
context = _normalize_context(getattr(record, "context", None))
context_suffix = ""
if context:
context_suffix = f" context={json.dumps(context, ensure_ascii=False, sort_keys=True)}"
rendered = (
f"{timestamp} {level} service={service} module={module_name} "
f"event={event} request_id={request_id} message={message}{context_suffix}"
)
if record.exc_info:
rendered = f"{rendered}\n{self.formatException(record.exc_info)}"
return rendered
class PlanetLoggerAdapter(logging.LoggerAdapter):
def process(self, msg: Any, kwargs: dict[str, Any]) -> tuple[Any, dict[str, Any]]:
extra = dict(self.extra)
extra.update(kwargs.get("extra", {}))
if "context" in extra:
extra["context"] = _normalize_context(extra.get("context"))
kwargs["extra"] = extra
return sanitize_log_value(msg), kwargs
def log_event(
self,
level: int,
message: str,
*,
event: str,
context: Mapping[str, Any] | None = None,
**extra: Any,
) -> None:
self.log(level, message, extra={"event": event, "context": context or {}, **extra})
def debug_event(self, message: str, *, event: str, context: Mapping[str, Any] | None = None, **extra: Any) -> None:
self.log_event(logging.DEBUG, message, event=event, context=context, **extra)
def info_event(self, message: str, *, event: str, context: Mapping[str, Any] | None = None, **extra: Any) -> None:
self.log_event(logging.INFO, message, event=event, context=context, **extra)
def warning_event(self, message: str, *, event: str, context: Mapping[str, Any] | None = None, **extra: Any) -> None:
self.log_event(logging.WARNING, message, event=event, context=context, **extra)
def error_event(self, message: str, *, event: str, context: Mapping[str, Any] | None = None, **extra: Any) -> None:
self.log_event(logging.ERROR, message, event=event, context=context, **extra)
def exception_event(
self,
message: str,
*,
event: str,
context: Mapping[str, Any] | None = None,
**extra: Any,
) -> None:
self.error(message, exc_info=True, extra={"event": event, "context": context or {}, **extra})
def get_logger(name: str, *, service: str = DEFAULT_SERVICE) -> PlanetLoggerAdapter:
return PlanetLoggerAdapter(logging.getLogger(name), {"service": service})
def configure_logging(level: str | None = None) -> None:
root_logger = logging.getLogger()
if getattr(configure_logging, "_configured", False):
if level:
root_logger.setLevel(level.upper())
return
handler = logging.StreamHandler()
handler.setFormatter(PlanetFormatter(datefmt="%Y-%m-%d %H:%M:%S"))
handler.addFilter(PlanetContextFilter())
root_logger.handlers.clear()
root_logger.addHandler(handler)
root_logger.setLevel((level or DEFAULT_LOG_LEVEL).upper())
for logger_name in ("uvicorn", "uvicorn.error", "uvicorn.access"):
target_logger = logging.getLogger(logger_name)
target_logger.handlers.clear()
target_logger.propagate = True
logging.captureWarnings(True)
configure_logging._configured = True

View File

@@ -0,0 +1,14 @@
from __future__ import annotations
from contextvars import ContextVar
request_id_context: ContextVar[str | None] = ContextVar("request_id", default=None)
def set_request_id(request_id: str | None) -> None:
request_id_context.set(request_id)
def get_request_id() -> str | None:
return request_id_context.get()

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

@@ -2,7 +2,7 @@
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
@@ -15,6 +15,8 @@ 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 +70,9 @@ 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 +80,61 @@ class DataBroadcaster:
"timestamp": to_iso8601_utc(datetime.now(UTC)),
"payload": data,
},
channel=channel if channel in manager.active_connections else "all",
channel=channel,
)
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(
@@ -95,6 +152,7 @@ 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 +160,7 @@ 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

@@ -5,10 +5,22 @@ from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine, async_sess
from sqlalchemy.orm import declarative_base
from app.core.config import settings
from app.core.logging import get_logger
logger = get_logger(__name__)
DB_POOL_CONFIG = {
"pool_pre_ping": True,
"pool_recycle": 1800,
"pool_size": 10,
"max_overflow": 20,
"pool_timeout": 30,
}
engine = create_async_engine(
settings.DATABASE_URL,
echo=settings.DEBUG if hasattr(settings, "DEBUG") else False,
**DB_POOL_CONFIG,
)
async_session_factory = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
@@ -60,25 +72,44 @@ async def seed_default_datasources(session: AsyncSession):
await session.commit()
DEFAULT_LOGIN_USERS = (
{
"username": "admin",
"email": "admin@planet.local",
"password": "admin123",
"role": "super_admin",
},
{
"username": "linkong",
"email": "linkong@planet.local",
"password": "12345678",
"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()
@@ -91,15 +122,58 @@ 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
logger.warning_event(
"Database pool settings active",
event="database.pool.initialized",
context={
"pool_pre_ping": DB_POOL_CONFIG["pool_pre_ping"],
"pool_recycle": DB_POOL_CONFIG["pool_recycle"],
"pool_size": DB_POOL_CONFIG["pool_size"],
"max_overflow": DB_POOL_CONFIG["max_overflow"],
"pool_timeout": DB_POOL_CONFIG["pool_timeout"],
},
)
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(
"""
@@ -119,7 +193,12 @@ async def init_db():
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)
"""
)
)
@@ -131,6 +210,50 @@ async def init_db():
"""
)
)
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(
"""
@@ -151,5 +274,14 @@ 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 ensure_default_admin_user(session)

View File

@@ -1,4 +1,5 @@
from contextlib import asynccontextmanager
from uuid import uuid4
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
@@ -7,6 +8,8 @@ from starlette.middleware.base import BaseHTTPMiddleware
from app.api.main import api_router
from app.api.v1 import websocket
from app.core.config import settings
from app.core.logging import configure_logging
from app.core.request_context import set_request_id
from app.core.websocket.broadcaster import broadcaster
from app.db.session import init_db
from app.services.scheduler import (
@@ -17,6 +20,9 @@ from app.services.scheduler import (
)
configure_logging()
class WebSocketCORSMiddleware(BaseHTTPMiddleware):
async def dispatch(self, request, call_next):
if request.url.path.startswith("/ws") and request.method == "GET":
@@ -28,6 +34,18 @@ class WebSocketCORSMiddleware(BaseHTTPMiddleware):
return await call_next(request)
class RequestContextMiddleware(BaseHTTPMiddleware):
async def dispatch(self, request, call_next):
request_id = request.headers.get("X-Request-ID") or uuid4().hex
set_request_id(request_id)
try:
response = await call_next(request)
finally:
set_request_id(None)
response.headers["X-Request-ID"] = request_id
return response
@asynccontextmanager
async def lifespan(app: FastAPI):
await init_db()
@@ -58,6 +76,7 @@ app.add_middleware(
allow_headers=["*"],
)
app.add_middleware(RequestContextMiddleware)
app.add_middleware(WebSocketCORSMiddleware)
app.include_router(api_router, prefix="/api/v1")

View File

@@ -6,11 +6,16 @@ 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
__all__ = [
"User",
@@ -24,6 +29,18 @@ __all__ = [
"AlertSeverity",
"AlertStatus",
"BGPAnomaly",
"BGPCollectorLocation",
"BGPIncident",
"BGPObservation",
"ComputeCenterLocationRecord",
"SystemLog",
"AuditLog",
"PlaygroundSession",
"PlaygroundMessage",
"VesselPosition",
"VesselStatic",
"AISRawObservation",
"AISConflictRecord",
"AISSourceHealth",
"DataSourceMappingTemplate",
]

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 +1,40 @@
from sqlalchemy import JSON, Column, DateTime, Integer, String, Text
from sqlalchemy.sql import func
from app.db.session import Base
class SystemLog(Base):
__tablename__ = "system_logs"
id = Column(Integer, primary_key=True, autoincrement=True)
occurred_at = Column(DateTime(timezone=True), server_default=func.now(), index=True)
source = Column(String(50), nullable=False, index=True)
service = Column(String(50), nullable=True)
module = Column(String(120), nullable=True)
event = Column(String(160), nullable=True, index=True)
level = Column(String(20), nullable=False, index=True)
message = Column(Text, nullable=False)
request_id = Column(String(64), nullable=True, index=True)
trace_id = Column(String(64), nullable=True)
user_id = Column(Integer, nullable=True, index=True)
category = Column(String(80), nullable=True, index=True)
context = Column(JSON, nullable=False, default=dict)
created_at = Column(DateTime(timezone=True), server_default=func.now())
class AuditLog(Base):
__tablename__ = "audit_logs"
id = Column(Integer, primary_key=True, autoincrement=True)
occurred_at = Column(DateTime(timezone=True), server_default=func.now(), index=True)
actor_id = Column(Integer, nullable=True, index=True)
actor_name = Column(String(255), nullable=True)
action = Column(String(120), nullable=False, index=True)
target_type = Column(String(80), nullable=True)
target_id = Column(String(120), nullable=True)
result = Column(String(40), nullable=True, index=True)
request_id = Column(String(64), nullable=True, index=True)
ip = Column(String(64), nullable=True)
details = Column(JSON, nullable=False, default=dict)
created_at = Column(DateTime(timezone=True), server_default=func.now())

View File

@@ -1,6 +1,6 @@
"""Collection Task model"""
from sqlalchemy import Column, DateTime, Integer, String, Text, Float
from sqlalchemy import BigInteger, Column, DateTime, Integer, String, Text, Float
from sqlalchemy.sql import func
from app.db.session import Base
@@ -13,6 +13,11 @@ class CollectionTask(Base):
datasource_id = Column(Integer, nullable=False, index=True)
status = Column(String(20), nullable=False) # pending, running, 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)

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

@@ -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

@@ -3,9 +3,11 @@ from __future__ import annotations
import asyncio
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.db.session import get_db
from app.schemas.ai import (
AIProviderStatusResponse,
SituationalAnalysisRequest,
@@ -14,11 +16,27 @@ from app.schemas.ai import (
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"}
@@ -26,6 +44,19 @@ 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)
return headers
async def get_status(self, request_id: str | None = None) -> AIProviderStatusResponse:
@@ -105,5 +136,14 @@ class AIProviderClient:
)
def get_ai_provider_client() -> AIProviderClient:
return AIProviderClient()
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 +1,56 @@
from __future__ import annotations
import hashlib
import httpx
from bs4 import BeautifulSoup
from app.services.ai_tools.schemas import FetchedEvidence
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:
if not url:
raise WebFetchError("url is required")
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:
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()
return FetchedEvidence(
url=url,
final_url=str(response.url),
title=title,
text=text,
content_hash=content_hash,
extractor="beautifulsoup_basic",
)

View File

@@ -0,0 +1,391 @@
from __future__ import annotations
from copy import deepcopy
from typing import Any
import httpx
from app.services.ai_tools.schemas import SearchEvidence, WebSearchConfig, WebSearchProviderConfig
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]:
if not self.config.enabled:
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:
raise WebSearchConfigurationError(f"{provider} API key is not configured.")
query = " ".join(str(query or "").split())
if not query:
raise WebSearchConfigurationError("search query is required.")
limit = max_results or provider_config.max_results
if provider == "tavily":
return await self._search_tavily(provider_config, query, limit, domains, freshness_days)
if provider == "brave":
return await self._search_brave(provider_config, query, limit, domains)
if provider == "serpapi":
return await self._search_serpapi(provider_config, query, limit)
if provider == "exa":
return await self._search_exa(provider_config, query, limit, domains)
if provider == "firecrawl":
return await self._search_firecrawl(provider_config, query, limit)
if provider == "searxng":
return await self._search_searxng(provider_config, query, limit, domains)
raise WebSearchConfigurationError(f"Unsupported web search provider: {provider}")
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

@@ -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

@@ -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

@@ -36,6 +36,8 @@ 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.aisstream import AISStreamCollector
from app.services.collectors.vessel_ais import VesselAISCollector
collector_registry.register(TOP500Collector())
collector_registry.register(EpochAIGPUCollector())
@@ -63,3 +65,41 @@ collector_registry.register(IPtoASNPrefixGeoCollector())
collector_registry.register(OpenGeoFeedPrefixGeoCollector())
collector_registry.register(NRODelegatedPrefixGeoCollector())
collector_registry.register(NewsLiveStreamsCollector())
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",
"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

@@ -54,6 +54,11 @@ 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 +85,52 @@ 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"""
@@ -251,7 +296,7 @@ class BaseCollector(ABC):
await self._publish_task_update(force=True)
try:
await self.set_phase("fetching")
await self.set_phase("fetching", message="正在拉取原始数据")
raw_data = await self.fetch()
task.total_records = len(raw_data)
await db.commit()
@@ -260,15 +305,20 @@ class BaseCollector(ABC):
if self.fail_on_empty and not raw_data:
raise RuntimeError(f"Collector {self.name} returned no data")
await self.set_phase("transforming")
await self.set_phase("transforming", message="正在转换采集数据")
data = self.transform(raw_data)
snapshot_id = await self._create_snapshot(db, task_id, data, start_time)
await self.set_phase("saving")
await self.set_phase("saving", message="正在保存采集数据")
records_count = await self._save_data(db, data, task_id=task_id, snapshot_id=snapshot_id)
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)
@@ -285,6 +335,7 @@ 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:
@@ -301,6 +352,7 @@ class BaseCollector(ABC):
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:

View File

@@ -13,6 +13,11 @@ 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.bgp_detectors import (
detect_mass_withdrawal_anomalies,
@@ -23,32 +28,17 @@ 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 +121,19 @@ 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,

View File

@@ -46,6 +46,9 @@ class CelesTrakTLECollector(BaseCollector):
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:
@@ -78,6 +81,7 @@ class CelesTrakTLECollector(BaseCollector):
"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"),
"international_designator": item.get("OBJECT_ID"),
"epoch": item.get("EPOCH"),

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

@@ -1,10 +1,16 @@
from __future__ import annotations
import asyncio
import base64
from datetime import UTC, datetime
from typing import Any
from urllib.parse import urlparse
import httpx
from sqlalchemy import select
from app.core.data_sources import get_data_sources_config
from app.models.datasource_config import DataSourceConfig
from app.services.collectors.base import BaseCollector
@@ -18,52 +24,537 @@ class NewsLiveStreamsCollector(BaseCollector):
data_type = "news_live_stream"
fail_on_empty = False
DEFAULT_TIMEOUT = 45.0
DEFAULT_HEADERS = {
"User-Agent": "Planet-Intelligence-System/1.0 (Python/collector)",
"Accept": "application/json",
}
RESPONSE_CANDIDATE_KEYS = ("sources", "streams", "channels", "items", "results", "data")
DEFAULT_ADAPTER = "iptv_org"
DEFAULT_IPTV_ORG_STREAMS_URL = "https://iptv-org.github.io/api/streams.json"
DEFAULT_IPTV_ORG_LOGOS_URL = "https://iptv-org.github.io/api/logos.json"
DEFAULT_IPTV_ORG_NEWS_CATEGORIES = ("news", "business", "weather")
DEFAULT_IPTV_ORG_EXCLUDE_CATEGORIES = ("music", "sports", "kids", "entertainment")
DEFAULT_IPTV_ORG_MAX_SOURCES = 120
async def fetch(self) -> list[dict[str, Any]]:
request_url = (self._resolved_url or "").strip()
if not request_url:
return []
async with httpx.AsyncClient(timeout=45.0, follow_redirects=True) as client:
response = await client.get(
datasource_config = await self._load_datasource_config()
effective_config = self._get_effective_config(datasource_config)
adapter = str(effective_config.get("adapter") or "").strip().lower()
if adapter == "iptv_org":
return await self._fetch_iptv_org(request_url, effective_config)
request_headers = self._build_request_headers(datasource_config)
request_config = self._get_request_config(datasource_config)
request_params = self._build_request_params(datasource_config)
request_json = self._build_request_json_body(datasource_config)
request_data = self._build_request_form_body(datasource_config)
timeout = self._get_timeout(datasource_config)
async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
response = await client.request(
request_config["method"],
request_url,
headers={
"User-Agent": "Planet-Intelligence-System/1.0 (Python/collector)",
"Accept": "application/json",
},
headers=request_headers,
params=request_params or None,
json=request_json,
data=request_data,
)
response.raise_for_status()
return self.parse_response(response.json())
return self.parse_response(
response.json(),
response_path=request_config["response_path"],
)
def parse_response(self, response: Any) -> list[dict[str, Any]]:
if isinstance(response, dict):
candidates = response.get("sources") or response.get("streams") or response.get("data") or []
elif isinstance(response, list):
candidates = response
async def _load_datasource_config(self) -> DataSourceConfig | None:
if not self._db_session:
return None
result = await self._db_session.execute(
select(DataSourceConfig)
.where(DataSourceConfig.name == self.name)
.where(DataSourceConfig.is_active.is_(True))
.limit(1)
)
return result.scalar_one_or_none()
def _get_effective_config(self, datasource_config: DataSourceConfig | None) -> dict[str, Any]:
payload = dict(datasource_config.config or {}) if datasource_config else {}
if payload:
return payload
yaml_config = get_data_sources_config()
return {
"adapter": self.DEFAULT_ADAPTER,
"streams_url": yaml_config.get_yaml_value("news_live_streams.streams_url")
or self.DEFAULT_IPTV_ORG_STREAMS_URL,
"logos_url": yaml_config.get_yaml_value("news_live_streams.logos_url")
or self.DEFAULT_IPTV_ORG_LOGOS_URL,
"news_categories": list(self.DEFAULT_IPTV_ORG_NEWS_CATEGORIES),
"exclude_categories": list(self.DEFAULT_IPTV_ORG_EXCLUDE_CATEGORIES),
"max_sources": self.DEFAULT_IPTV_ORG_MAX_SOURCES,
}
def _get_request_config(self, datasource_config: DataSourceConfig | None) -> dict[str, Any]:
payload = self._get_effective_config(datasource_config)
raw_method = payload.get("method") or payload.get("request_method") or "GET"
method = str(raw_method).strip().upper() or "GET"
if method not in {"GET", "POST"}:
method = "GET"
response_path = payload.get("response_path") or payload.get("payload_path") or payload.get("items_path")
if isinstance(response_path, str):
response_path = response_path.strip()
else:
candidates = []
response_path = None
return {
"method": method,
"response_path": response_path or None,
}
def _get_timeout(self, datasource_config: DataSourceConfig | None) -> float:
payload = self._get_effective_config(datasource_config)
try:
return float(payload.get("timeout", self.DEFAULT_TIMEOUT))
except (TypeError, ValueError):
return self.DEFAULT_TIMEOUT
def _build_request_headers(self, datasource_config: DataSourceConfig | None) -> dict[str, str]:
headers = dict(self.DEFAULT_HEADERS)
if datasource_config:
headers.update(self._normalize_headers(datasource_config.headers))
headers.update(self._build_auth_headers(datasource_config))
return headers
def _build_request_params(self, datasource_config: DataSourceConfig | None) -> dict[str, Any]:
params: dict[str, Any] = {}
if not datasource_config:
return params
payload = datasource_config.config or {}
candidate = payload.get("params") or payload.get("query_params")
if isinstance(candidate, dict):
params.update(candidate)
if datasource_config.auth_type == "api_key":
auth_config = datasource_config.auth_config or {}
if str(auth_config.get("in") or auth_config.get("location") or "header").lower() == "query":
api_key = auth_config.get("api_key")
key_name = auth_config.get("key_name") or auth_config.get("param_name") or "api_key"
if api_key and key_name:
params[str(key_name)] = api_key
return params
def _build_request_json_body(self, datasource_config: DataSourceConfig | None) -> Any:
if not datasource_config:
return None
payload = datasource_config.config or {}
body = payload.get("json_body")
if body is None and str(payload.get("body_type") or "").lower() in {"json", ""}:
candidate = payload.get("body")
if isinstance(candidate, (dict, list)):
body = candidate
return body
def _build_request_form_body(self, datasource_config: DataSourceConfig | None) -> Any:
if not datasource_config:
return None
payload = datasource_config.config or {}
form_body = payload.get("form_body")
if form_body is not None:
return form_body
if str(payload.get("body_type") or "").lower() == "form":
candidate = payload.get("body")
if isinstance(candidate, dict):
return candidate
return None
def _normalize_headers(self, headers: Any) -> dict[str, str]:
if not isinstance(headers, dict):
return {}
normalized: dict[str, str] = {}
for key, value in headers.items():
header_name = str(key).strip()
if not header_name or value is None:
continue
normalized[header_name] = str(value)
return normalized
def _build_auth_headers(self, datasource_config: DataSourceConfig | None) -> dict[str, str]:
if not datasource_config:
return {}
auth_type = str(datasource_config.auth_type or "none").lower()
auth_config = datasource_config.auth_config or {}
if auth_type == "bearer" and auth_config.get("token"):
return {"Authorization": f"Bearer {auth_config['token']}"}
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":
return {}
key_name = auth_config.get("key_name") or "X-API-Key"
return {str(key_name): str(auth_config["api_key"])}
if auth_type == "basic":
username = str(auth_config.get("username") or "")
password = str(auth_config.get("password") or "")
encoded = base64.b64encode(f"{username}:{password}".encode()).decode()
return {"Authorization": f"Basic {encoded}"}
return {}
def _extract_candidates(self, response: Any, response_path: str | None) -> list[Any]:
if response_path:
extracted = self._extract_from_path(response, response_path)
if isinstance(extracted, list):
return extracted
if isinstance(extracted, dict):
for key in self.RESPONSE_CANDIDATE_KEYS:
nested = extracted.get(key)
if isinstance(nested, list):
return nested
return [extracted]
if isinstance(response, dict):
for key in self.RESPONSE_CANDIDATE_KEYS:
nested = response.get(key)
if isinstance(nested, list):
return nested
return []
if isinstance(response, list):
return response
return []
def _extract_from_path(self, payload: Any, path: str) -> Any:
current = payload
for segment in (part.strip() for part in path.split(".") if part.strip()):
if isinstance(current, dict):
current = current.get(segment)
continue
if isinstance(current, list):
try:
current = current[int(segment)]
except (TypeError, ValueError, IndexError):
return None
continue
return None
return current
def _infer_source_type(self, item: dict[str, Any]) -> str:
explicit = str(item.get("source_type") or item.get("type") or "").strip().lower()
if explicit in {"iframe", "hls", "video", "external", "youtube"}:
return explicit
youtube_video_id = self._clean_text(
item.get("youtube_video_id")
or item.get("video_id")
or item.get("youtubeVideoId")
)
youtube_channel = self._clean_text(item.get("youtube_channel") or item.get("channel_handle"))
embed_url = self._clean_url(item.get("embed_url") or item.get("embed") or item.get("page_url"))
stream_url = self._clean_url(item.get("stream_url") or item.get("stream") or item.get("playback_url") or item.get("hls_url"))
homepage_url = self._clean_url(item.get("homepage_url") or item.get("source_url") or item.get("website"))
if youtube_video_id or youtube_channel:
return "youtube"
if stream_url.endswith(".m3u8"):
return "hls"
if stream_url:
return "video"
if embed_url:
parsed = urlparse(embed_url)
if "youtube.com" in (parsed.netloc or "") or "youtu.be" in (parsed.netloc or ""):
return "youtube"
return "iframe"
if homepage_url:
return "external"
return "iframe"
def _parse_enabled(self, item: dict[str, Any]) -> bool:
if "is_enabled" in item:
return self._to_bool(item.get("is_enabled"), default=True)
if "enabled" in item:
return self._to_bool(item.get("enabled"), default=True)
if "active" in item:
return self._to_bool(item.get("active"), default=True)
if "status" in item:
status = str(item.get("status") or "").strip().lower()
if status in {"disabled", "inactive", "offline"}:
return False
if status in {"enabled", "active", "online", "live"}:
return True
return True
def _to_bool(self, value: Any, *, default: bool) -> bool:
if isinstance(value, bool):
return value
if value in (None, ""):
return default
if isinstance(value, str):
lowered = value.strip().lower()
if lowered in {"1", "true", "yes", "on", "enabled", "active", "online", "live"}:
return True
if lowered in {"0", "false", "no", "off", "disabled", "inactive", "offline"}:
return False
return bool(value)
def _clean_text(self, value: Any) -> str:
if value is None:
return ""
return str(value).strip()
def _clean_url(self, value: Any) -> str:
text = self._clean_text(value)
if not text:
return ""
parsed = urlparse(text)
if parsed.scheme and parsed.scheme not in {"http", "https"}:
return ""
if parsed.scheme and not parsed.netloc:
return ""
return text
async def _fetch_iptv_org(self, channels_url: str, collector_config: dict[str, Any]) -> list[dict[str, Any]]:
streams_url = self._clean_url(collector_config.get("streams_url")) or self.DEFAULT_IPTV_ORG_STREAMS_URL
logos_url = self._clean_url(collector_config.get("logos_url")) or self.DEFAULT_IPTV_ORG_LOGOS_URL
news_categories = {
self._clean_text(value).lower()
for value in (collector_config.get("news_categories") or self.DEFAULT_IPTV_ORG_NEWS_CATEGORIES)
if self._clean_text(value)
}
exclude_categories = {
self._clean_text(value).lower()
for value in (collector_config.get("exclude_categories") or self.DEFAULT_IPTV_ORG_EXCLUDE_CATEGORIES)
if self._clean_text(value)
}
try:
max_sources = int(collector_config.get("max_sources", self.DEFAULT_IPTV_ORG_MAX_SOURCES))
except (TypeError, ValueError):
max_sources = self.DEFAULT_IPTV_ORG_MAX_SOURCES
timeout = self.DEFAULT_TIMEOUT
try:
timeout = float(collector_config.get("timeout", self.DEFAULT_TIMEOUT))
except (TypeError, ValueError):
timeout = self.DEFAULT_TIMEOUT
async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
channels_payload, streams_payload, logos_payload = await self._gather_iptv_org_payloads(
client,
channels_url,
streams_url,
logos_url,
)
channels = channels_payload if isinstance(channels_payload, list) else []
streams = streams_payload if isinstance(streams_payload, list) else []
logos = logos_payload if isinstance(logos_payload, list) else []
logo_by_channel = {
self._clean_text(item.get("channel")): self._clean_url(item.get("url"))
for item in logos
if isinstance(item, dict) and self._clean_text(item.get("channel")) and self._clean_url(item.get("url"))
}
streams_by_channel: dict[str, list[dict[str, Any]]] = {}
for stream in streams:
if not isinstance(stream, dict):
continue
channel_id = self._clean_text(stream.get("channel"))
if not channel_id:
continue
streams_by_channel.setdefault(channel_id, []).append(stream)
normalized: list[dict[str, Any]] = []
for channel in channels:
if not isinstance(channel, dict):
continue
categories = [
self._clean_text(value).lower()
for value in (channel.get("categories") or [])
if self._clean_text(value)
]
if news_categories and not any(category in news_categories for category in categories):
continue
if exclude_categories and any(category in exclude_categories for category in categories):
continue
if channel.get("is_nsfw") is True:
continue
if channel.get("closed"):
continue
channel_id = self._clean_text(channel.get("id"))
if not channel_id:
continue
stream = self._pick_iptv_org_stream(streams_by_channel.get(channel_id) or [])
if not stream:
continue
stream_url = self._clean_url(stream.get("url"))
if not stream_url:
continue
name = self._clean_text(channel.get("name")) or channel_id
notes_parts = [
f"Imported from IPTV-org catalog ({channel_id})",
f"Categories: {', '.join(categories)}" if categories else "",
f"Quality: {self._clean_text(stream.get('quality'))}" if self._clean_text(stream.get("quality")) else "",
]
metadata = {
"provider": self._clean_text(channel.get("network")) or "IPTV-org",
"region": self._clean_text(channel.get("country")) or "Global",
"language": "und",
"source_type": "hls" if stream_url.endswith(".m3u8") else "video",
"embed_url": "",
"stream_url": stream_url,
"homepage_url": self._clean_url(channel.get("website")),
"poster_url": logo_by_channel.get(channel_id, ""),
"youtube_video_id": "",
"youtube_channel": "",
"sort_order": 400 + len(normalized),
"notes": "; ".join(part for part in notes_parts if part),
"is_enabled": True,
"collector_adapter": "iptv_org",
"channel_id": channel_id,
"categories": categories,
"quality": self._clean_text(stream.get("quality")),
"stream_label": self._clean_text(stream.get("label") or stream.get("title")),
"stream_referrer": self._clean_text(stream.get("referrer")),
"stream_user_agent": self._clean_text(stream.get("user_agent")),
}
normalized.append(
{
"source_id": channel_id,
"name": name,
"description": metadata["notes"],
"metadata": metadata,
"reference_date": datetime.now(UTC).isoformat(),
}
)
if len(normalized) >= max_sources:
break
return normalized
async def _gather_iptv_org_payloads(
self,
client: httpx.AsyncClient,
channels_url: str,
streams_url: str,
logos_url: str,
) -> tuple[Any, Any, Any]:
headers = dict(self.DEFAULT_HEADERS)
channels_payload, streams_payload, logos_payload = await asyncio.gather(
client.get(channels_url, headers=headers),
client.get(streams_url, headers=headers),
client.get(logos_url, headers=headers),
)
channels_payload.raise_for_status()
streams_payload.raise_for_status()
logos_payload.raise_for_status()
return channels_payload.json(), streams_payload.json(), logos_payload.json()
def _pick_iptv_org_stream(self, streams: list[dict[str, Any]]) -> dict[str, Any] | None:
if not streams:
return None
def score(stream: dict[str, Any]) -> tuple[int, int]:
url = self._clean_url(stream.get("url"))
quality = self._clean_text(stream.get("quality")).lower()
quality_score = 0
if quality.endswith("p"):
try:
quality_score = int(quality[:-1])
except ValueError:
quality_score = 0
stream_score = 1000 if url.endswith(".m3u8") else 0
return stream_score, quality_score
sorted_streams = sorted(streams, key=score, reverse=True)
return sorted_streams[0]
def parse_response(self, response: Any, *, response_path: str | None = None) -> list[dict[str, Any]]:
candidates = self._extract_candidates(response, response_path)
normalized: list[dict[str, Any]] = []
for index, item in enumerate(candidates):
if not isinstance(item, dict):
continue
stream_id = item.get("id") or item.get("source_id") or item.get("slug") or f"news-live-{index + 1}"
name = str(item.get("name") or item.get("title") or f"News Live {index + 1}").strip()
stream_id = (
item.get("id")
or item.get("source_id")
or item.get("slug")
or item.get("channel_id")
or item.get("code")
or f"news-live-{index + 1}"
)
name = self._clean_text(
item.get("name")
or item.get("title")
or item.get("channel")
or item.get("display_name")
or f"News Live {index + 1}"
)
if not name:
continue
source_type = self._infer_source_type(item)
stream_url = self._clean_url(
item.get("stream_url")
or item.get("stream")
or item.get("playback_url")
or item.get("hls_url")
or item.get("m3u8_url")
)
embed_url = self._clean_url(
item.get("embed_url")
or item.get("embed")
or item.get("page_url")
or (item.get("url") if source_type == "iframe" else "")
)
homepage_url = self._clean_url(
item.get("homepage_url")
or item.get("source_url")
or item.get("website")
or item.get("url")
)
metadata = {
"provider": item.get("provider") or item.get("publisher") or "Collector",
"region": item.get("region") or item.get("country") or "Global",
"language": item.get("language") or "und",
"source_type": item.get("source_type") or "iframe",
"embed_url": item.get("embed_url") or item.get("url") or "",
"stream_url": item.get("stream_url") or "",
"homepage_url": item.get("homepage_url") or item.get("source_url") or "",
"poster_url": item.get("poster_url") or "",
"provider": self._clean_text(item.get("provider") or item.get("publisher") or item.get("network")) or "Collector",
"region": self._clean_text(item.get("region") or item.get("country") or item.get("market")) or "Global",
"language": self._clean_text(item.get("language") or item.get("lang") or item.get("locale")) or "und",
"source_type": source_type,
"embed_url": embed_url,
"stream_url": stream_url,
"homepage_url": homepage_url,
"poster_url": self._clean_url(item.get("poster_url") or item.get("thumbnail_url") or item.get("logo_url")),
"youtube_video_id": self._clean_text(
item.get("youtube_video_id")
or item.get("video_id")
or item.get("youtubeVideoId")
),
"youtube_channel": self._clean_text(
item.get("youtube_channel")
or item.get("channel_handle")
or item.get("youtubeChannel")
),
"sort_order": item.get("sort_order", 200 + index),
"notes": item.get("notes") or item.get("description") or "",
"is_enabled": item.get("is_enabled", True),
"notes": self._clean_text(item.get("notes") or item.get("description") or item.get("summary")),
"is_enabled": self._parse_enabled(item),
}
normalized.append(
@@ -72,7 +563,7 @@ class NewsLiveStreamsCollector(BaseCollector):
"name": name,
"description": metadata["notes"],
"metadata": metadata,
"reference_date": item.get("reference_date", datetime.now(UTC).isoformat()),
"reference_date": item.get("reference_date") or datetime.now(UTC).isoformat(),
}
)

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

@@ -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/plans/location-resolver-shared-pipeline-plan.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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@@ -0,0 +1,290 @@
"""Credential setup guides for collector integrations."""
from __future__ import annotations
from dataclasses import dataclass
from typing import Any
from sqlalchemy import select
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"
@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,
}
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 = dict(record.payload or {}) if record and isinstance(record.payload, dict) else {}
return record, payload
async def get_credential_guide(db, provider: str) -> dict[str, Any]:
default = DEFAULT_CREDENTIAL_GUIDES.get(provider)
if default is None:
raise ValueError(f"Unsupported credential guide provider: {provider}")
_record, store = await _get_guide_store(db)
custom = store.get(provider) if isinstance(store.get(provider), dict) else None
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",
"sources": custom.get("sources", []) if custom else [],
"verification_status": (
custom.get("verification_status", "verified_with_search_evidence")
if custom
else "default_unverified"
),
"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]:
default = DEFAULT_CREDENTIAL_GUIDES.get(provider)
if default is None:
raise ValueError(f"Unsupported credential guide provider: {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 = store
await db.commit()
return await get_credential_guide(db, provider)
async def reset_credential_guide(db, provider: str) -> dict[str, Any]:
default = DEFAULT_CREDENTIAL_GUIDES.get(provider)
if default is None:
raise ValueError(f"Unsupported credential guide provider: {provider}")
record, store = await _get_guide_store(db)
if provider in store:
store.pop(provider, None)
if record is not None:
record.payload = store
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]:
default = DEFAULT_CREDENTIAL_GUIDES.get(provider)
if default is None:
raise ValueError(f"Unsupported credential guide provider: {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
response = await ai_client.analyze(
SituationalAnalysisRequest(
title=f"Generate credential guide for {provider}",
objective=(
default.prompt
+ "\n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。"
),
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"

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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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"""Connectivity validation helpers for built-in datasource overrides."""
from __future__ import annotations
from datetime import UTC, datetime
import hashlib
import json
import os
from typing import Any
import httpx
from sqlalchemy import func, select
from app.core.data_sources import get_data_sources_config
from app.core.datasource_defaults import DEFAULT_DATASOURCES
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.services.barentswatch import (
_read_zshrc_env,
fetch_barentswatch_access_token,
resolve_barentswatch_config,
)
CONNECTIVITY_VALIDATION_KEY = "connectivity_validation"
CONNECTIVITY_STORE_CATEGORY = "datasource_connectivity_validations"
SUPPORTED_CREDENTIAL_PROVIDERS = {"barentswatch", "spacetrack", "aisstream"}
def _sha256_json(payload: Any) -> str:
encoded = json.dumps(payload, ensure_ascii=False, sort_keys=True, default=str).encode("utf-8")
return hashlib.sha256(encoded).hexdigest()
def _resolve_spacetrack_credentials() -> tuple[str, str, str]:
zshrc_env = _read_zshrc_env()
username = os.getenv("SPACETRACK_USERNAME") or zshrc_env.get("SPACETRACK_USERNAME") or ""
password = os.getenv("SPACETRACK_PASSWORD") or zshrc_env.get("SPACETRACK_PASSWORD") or ""
source = "environment" if os.getenv("SPACETRACK_USERNAME") or os.getenv("SPACETRACK_PASSWORD") else ""
if not source and (username or password):
source = "~/.zshrc"
return username, password, source or "missing"
async def _resolve_aisstream_api_key(
db=None,
credential_override: dict[str, str] | None = None,
) -> tuple[str, str]:
if credential_override and credential_override.get("api_key"):
return str(credential_override["api_key"]), "draft"
env_key = os.getenv("AISSTREAM_API_KEY")
zshrc_key = _read_zshrc_env().get("AISSTREAM_API_KEY")
if db is not None:
result = await db.execute(
select(DataSourceConfig)
.where(DataSourceConfig.name == "aisstream_vessels")
.where(DataSourceConfig.is_active.is_(True))
)
record = result.scalar_one_or_none()
if record:
auth_config = record.auth_config or {}
runtime_config = record.config or {}
api_key = auth_config.get("api_key") or runtime_config.get("api_key")
if api_key:
return str(api_key), "datasource_config"
if env_key:
return env_key, "environment"
if zshrc_key:
return zshrc_key, "~/.zshrc"
return "", "missing"
def strip_connectivity_validation(config: dict | None) -> dict:
cleaned = dict(config or {})
cleaned.pop(CONNECTIVITY_VALIDATION_KEY, None)
return cleaned
def merge_connectivity_validation(existing_config: dict | None, next_config: dict | None) -> dict:
merged = strip_connectivity_validation(next_config)
validation = (existing_config or {}).get(CONNECTIVITY_VALIDATION_KEY)
if validation:
merged[CONNECTIVITY_VALIDATION_KEY] = validation
return merged
def get_connectivity_validation(config: DataSourceConfig | None) -> dict | None:
validation = (config.config or {}).get(CONNECTIVITY_VALIDATION_KEY) if config else None
return validation if isinstance(validation, dict) else None
async def build_builtin_connectivity_checksum(
source: str,
endpoint: str,
auth_type: str,
headers: dict | None,
config: dict | None,
db=None,
credential_override: dict[str, str] | None = None,
) -> tuple[str, dict[str, Any]]:
defaults = DEFAULT_DATASOURCES.get(source, {})
credential_provider = defaults.get("credential_provider")
credential_fingerprint = ""
credential_source = "none"
has_credentials = not defaults.get("requires_credentials", False)
if credential_provider == "barentswatch":
if credential_override:
client_id = credential_override.get("client_id", "")
client_secret = credential_override.get("client_secret", "")
credential_source = "draft"
else:
barentswatch_config = await resolve_barentswatch_config(db)
client_id = barentswatch_config.client_id
client_secret = barentswatch_config.client_secret
credential_source = barentswatch_config.credential_source
has_credentials = bool(client_id and client_secret)
credential_fingerprint = _sha256_json(
{
"client_id": client_id,
"client_secret": client_secret,
}
)
elif credential_provider == "spacetrack":
username, password, credential_source = _resolve_spacetrack_credentials()
has_credentials = bool(username and password)
credential_fingerprint = _sha256_json(
{
"username": username,
"password": password,
}
)
elif credential_provider == "aisstream":
api_key, credential_source = await _resolve_aisstream_api_key(db, credential_override)
has_credentials = bool(api_key)
credential_fingerprint = _sha256_json({"api_key": api_key})
elif defaults.get("requires_credentials"):
credential_source = str(credential_provider or "unsupported")
checksum_payload = {
"source": source,
"endpoint": endpoint,
"auth_type": "none",
"headers": headers or {},
"config": strip_connectivity_validation(config),
"credential_provider": credential_provider or "none",
"credential_fingerprint": credential_fingerprint,
}
return _sha256_json(checksum_payload), {
"requires_credentials": bool(defaults.get("requires_credentials", False)),
"credential_provider": credential_provider,
"credential_source": credential_source,
"has_credentials": has_credentials,
}
async def test_builtin_connectivity(
source: str,
endpoint: str,
auth_type: str,
headers: dict | None,
config: dict | None,
db=None,
credential_override: dict[str, str] | None = None,
) -> dict[str, Any]:
defaults = DEFAULT_DATASOURCES.get(source)
if not defaults:
return {
"success": False,
"message": "未知内置采集器,无法执行连接校验。",
}
checksum, credential_context = await build_builtin_connectivity_checksum(
source,
endpoint,
auth_type,
headers,
config,
db,
credential_override,
)
if credential_context["requires_credentials"] and not credential_context["has_credentials"]:
return {
"success": False,
"checksum": checksum,
"stage": "credentials",
"message": "该采集器需要凭证,请先到采集器凭证设置中配置。",
"settings_tab": "collector_credentials",
**credential_context,
}
if (
credential_context["requires_credentials"]
and credential_context["credential_provider"] not in SUPPORTED_CREDENTIAL_PROVIDERS
):
return {
"success": False,
"checksum": checksum,
"stage": "credentials",
"message": "该采集器的凭证链路尚未接入,暂时无法完成连接校验。",
"settings_tab": "collector_credentials",
**credential_context,
}
request_headers = {str(key): str(value) for key, value in (headers or {}).items()}
request_config = strip_connectivity_validation(config)
timeout = float(request_config.get("timeout") or 30)
request_endpoint = endpoint
if credential_context["credential_provider"] == "aisstream":
if not str(request_endpoint).startswith(("ws://", "wss://")):
return {
"success": False,
"checksum": checksum,
"stage": "endpoint",
"message": "AISStream endpoint 必须是 ws:// 或 wss:// WebSocket 地址。",
**credential_context,
}
return {
"success": True,
"checksum": checksum,
"stage": "credentials",
"message": "AISStream 凭证已配置WebSocket endpoint 格式有效。",
**credential_context,
}
try:
async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
if credential_context["credential_provider"] == "barentswatch":
barentswatch_config = await resolve_barentswatch_config(db)
token = await fetch_barentswatch_access_token(client, barentswatch_config)
if not token:
return {
"success": False,
"checksum": checksum,
"stage": "token",
"message": "凭证可读取,但 token 响应中没有 access_token。",
"settings_tab": "collector_credentials",
**credential_context,
}
request_headers["Authorization"] = f"Bearer {token}"
elif credential_context["credential_provider"] == "spacetrack":
username, password, _source = _resolve_spacetrack_credentials()
login_url = "https://www.space-track.org/ajaxauth/login"
login_response = await client.post(
login_url,
data={
"identity": username,
"password": password,
},
)
login_response.raise_for_status()
started = datetime.now(UTC)
async with client.stream("GET", request_endpoint, headers=request_headers) as response:
response.raise_for_status()
status_code = response.status_code
elapsed_ms = (datetime.now(UTC) - started).total_seconds() * 1000
return {
"success": True,
"checksum": checksum,
"stage": "endpoint",
"message": "连接验证成功。",
"status_code": status_code,
"response_time_ms": elapsed_ms,
**credential_context,
}
except httpx.HTTPStatusError as exc:
return {
"success": False,
"checksum": checksum,
"stage": "endpoint",
"message": f"连接验证失败HTTP {exc.response.status_code}",
"error": f"HTTP Error: {exc.response.status_code}",
**credential_context,
}
except httpx.HTTPError as exc:
return {
"success": False,
"checksum": checksum,
"stage": "network",
"message": f"连接验证失败:{exc.__class__.__name__}",
"error": str(exc),
**credential_context,
}
def make_success_validation(checksum: str, result: dict[str, Any]) -> dict[str, Any]:
return {
"checksum": checksum,
"status": "success",
"validated_at": datetime.now(UTC).isoformat(),
"status_code": result.get("status_code"),
"credential_source": result.get("credential_source"),
}
def is_builtin_validation_current(config: DataSourceConfig | None, checksum: str) -> bool:
validation = get_connectivity_validation(config)
return bool(
validation
and validation.get("status") == "success"
and validation.get("checksum") == checksum
)
async def get_connectivity_store(db) -> dict[str, Any]:
result = await db.execute(
select(SystemSetting).where(SystemSetting.category == CONNECTIVITY_STORE_CATEGORY)
)
record = result.scalar_one_or_none()
return dict(record.payload or {}) if record and isinstance(record.payload, dict) else {}
async def save_connectivity_success(
db,
source: str,
checksum: str,
result: dict[str, Any],
*,
connected_by: str,
) -> dict[str, Any]:
store = await get_connectivity_store(db)
validation = {
**make_success_validation(checksum, result),
"connected_by": connected_by,
}
store[source] = validation
existing = await db.execute(
select(SystemSetting).where(SystemSetting.category == CONNECTIVITY_STORE_CATEGORY)
)
record = existing.scalar_one_or_none()
if record is None:
db.add(SystemSetting(category=CONNECTIVITY_STORE_CATEGORY, payload=store))
else:
record.payload = store
return validation
async def load_builtin_override_config(db, source: str) -> DataSourceConfig | None:
result = await db.execute(
select(DataSourceConfig)
.where(DataSourceConfig.name == source)
.where(DataSourceConfig.is_active.is_(True))
)
return result.scalar_one_or_none()
async def get_builtin_effective_candidate(db, source: str) -> dict[str, Any]:
override = await load_builtin_override_config(db, source)
default_endpoint = get_data_sources_config().get_yaml_url(source)
return {
"name": source,
"endpoint": (override.endpoint if override and override.endpoint else default_endpoint) or "",
"auth_type": override.auth_type if override else "none",
"headers": override.headers if override else {},
"config": strip_connectivity_validation(override.config if override else {}),
}
async def has_collected_data(db, source: str) -> bool:
result = await db.execute(select(func.count(CollectedData.id)).where(CollectedData.source == source))
if (result.scalar() or 0) > 0:
return True
datasource_result = await db.execute(select(DataSource).where(DataSource.source == source))
datasource = datasource_result.scalar_one_or_none()
return bool(datasource and datasource.last_status == "success")
async def get_builtin_connection_status(
db,
source: str,
endpoint: str,
auth_type: str,
headers: dict | None,
config: dict | None,
) -> dict[str, Any]:
checksum, credential_context = await build_builtin_connectivity_checksum(
source,
endpoint,
auth_type,
headers,
config,
db,
)
store = await get_connectivity_store(db)
validation = store.get(source)
if isinstance(validation, dict) and validation.get("status") == "success":
if validation.get("checksum") == checksum:
return {
"connected": True,
"checksum": checksum,
"connected_by": validation.get("connected_by") or "connection_button",
"message": "当前配置已完成连接验证。",
**credential_context,
}
effective = await get_builtin_effective_candidate(db, source)
effective_checksum, _ = await build_builtin_connectivity_checksum(
source,
effective["endpoint"],
effective["auth_type"],
effective["headers"],
effective["config"],
db,
)
if checksum == effective_checksum and await has_collected_data(db, source):
return {
"connected": True,
"checksum": checksum,
"connected_by": "collection",
"message": "当前配置已有成功采集数据,视为已连接。",
**credential_context,
}
if isinstance(validation, dict) and validation.get("status") == "success":
return {
"connected": False,
"checksum": checksum,
"connected_by": None,
"message": "接口地址或凭证指纹已变化,请重新点击连接验证。",
**credential_context,
}
return {
"connected": False,
"checksum": checksum,
"connected_by": None,
"message": "当前配置尚未连接,请点击连接验证。",
**credential_context,
}

View File

@@ -0,0 +1,410 @@
"""Deterministic mapping support for custom data sources."""
from __future__ import annotations
import hashlib
import json
import re
from datetime import UTC, datetime
from typing import Any
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.target_schema_registry import TargetSchema, get_target_schema
SECRET_KEY_PATTERN = re.compile(
r"(token|secret|password|passwd|authorization|api[_-]?key|client[_-]?secret)",
re.IGNORECASE,
)
class MappingError(ValueError):
"""Raised when a mapping definition cannot be executed."""
def stable_payload_hash(payload: Any) -> str:
encoded = json.dumps(payload, ensure_ascii=False, sort_keys=True, default=str).encode()
return hashlib.sha256(encoded).hexdigest()
def redact_for_llm(value: Any) -> Any:
if isinstance(value, dict):
redacted = {}
for key, item in value.items():
if SECRET_KEY_PATTERN.search(str(key)):
redacted[key] = "[REDACTED]"
else:
redacted[key] = redact_for_llm(item)
return redacted
if isinstance(value, list):
return [redact_for_llm(item) for item in value[:20]]
return value
def extract_path(payload: Any, path: str | None) -> Any:
if not path or path == "$":
return payload
normalized = path.strip()
if normalized.startswith("$."):
normalized = normalized[2:]
elif normalized.startswith("$"):
normalized = normalized[1:]
normalized = normalized.strip(".")
if not normalized:
return payload
current = payload
for raw_segment in normalized.split("."):
segment = raw_segment.strip()
if not segment:
continue
list_all = segment.endswith("[*]")
if list_all:
segment = segment[:-3]
index = None
match = re.fullmatch(r"(.+)\[(\d+)\]", segment)
if match:
segment = match.group(1)
index = int(match.group(2))
if segment:
if isinstance(current, dict):
current = current.get(segment)
else:
return None
if list_all:
return current if isinstance(current, list) else []
if index is not None:
if not isinstance(current, list) or index >= len(current):
return None
current = current[index]
return current
def _convert_value(value: Any, target_type: str | None) -> Any:
if value is None or target_type in (None, "", "any"):
return value
if target_type == "string":
return str(value)
if target_type == "integer":
return int(value)
if target_type == "float":
return float(value)
if target_type == "boolean":
if isinstance(value, bool):
return value
if isinstance(value, str):
return value.strip().lower() in {"1", "true", "yes", "y", "on"}
return bool(value)
if target_type == "datetime":
if isinstance(value, datetime):
return value
if isinstance(value, (int, float)):
return datetime.fromtimestamp(value)
if isinstance(value, str):
return datetime.fromisoformat(value.replace("Z", "+00:00"))
return value
if target_type == "object":
if isinstance(value, dict):
return value
raise ValueError("expected object")
if target_type == "array":
if isinstance(value, list):
return value
raise ValueError("expected array")
return value
def _apply_enum(value: Any, enum_map: Any) -> Any:
if not isinstance(enum_map, dict):
return value
key = str(value)
return enum_map.get(key, enum_map.get(value, value))
def _map_one(item: Any, field_mapping: dict[str, Any]) -> tuple[dict[str, Any], list[str]]:
output: dict[str, Any] = {}
errors: list[str] = []
for field_name, rule in field_mapping.items():
if isinstance(rule, str):
rule = {"path": rule}
if not isinstance(rule, dict):
errors.append(f"{field_name}: mapping rule must be an object or path string")
continue
value = extract_path(item, rule.get("path"))
if value is None and "default" in rule:
value = rule.get("default")
value = _apply_enum(value, rule.get("enum"))
try:
value = _convert_value(value, rule.get("type"))
except (TypeError, ValueError) as exc:
errors.append(f"{field_name}: failed to convert value {value!r}: {exc}")
continue
if value is not None or rule.get("include_null", False):
output[field_name] = value
return output, errors
def execute_mapping(
payload: Any,
mapping_json: dict[str, Any],
target_schema: str | TargetSchema,
*,
limit: int | None = None,
) -> dict[str, Any]:
schema = get_target_schema(target_schema) if isinstance(target_schema, str) else target_schema
source = mapping_json.get("source") or {}
fields = mapping_json.get("fields")
if not isinstance(fields, dict) or not fields:
raise MappingError("mapping_json.fields must be a non-empty object")
items_path = source.get("items_path") or mapping_json.get("items_path") or "$"
items = extract_path(payload, items_path)
if isinstance(items, dict):
items = [items]
elif not isinstance(items, list):
items = []
if limit is not None:
items = items[:limit]
mapped_records: list[dict[str, Any]] = []
errors: list[dict[str, Any]] = []
for index, item in enumerate(items):
mapped, mapping_errors = _map_one(item, fields)
validated, validation_errors = schema.validate_record(mapped)
all_errors = mapping_errors + validation_errors
if all_errors:
errors.append({"index": index, "errors": all_errors, "record": mapped})
continue
if validated is not None:
mapped_records.append(validated)
return {
"target_schema": schema.key,
"total_items": len(items),
"mapped_count": len(mapped_records),
"failed_count": len(errors),
"records": mapped_records,
"errors": errors,
}
def build_heuristic_mapping(sample_payload: Any, target_schema_key: str) -> dict[str, Any]:
schema = get_target_schema(target_schema_key)
items_path = "$"
sample_item = sample_payload
if isinstance(sample_payload, dict):
for key in ("data", "items", "results", "features", "vessels"):
candidate = sample_payload.get(key)
if isinstance(candidate, list) and candidate:
items_path = f"$.{key}[*]"
sample_item = candidate[0]
break
elif isinstance(sample_payload, list) and sample_payload:
items_path = "$"
sample_item = sample_payload[0]
available = _flatten_keys(sample_item if isinstance(sample_item, dict) else {})
fields: dict[str, Any] = {}
for field in schema.fields:
candidate = _best_field_match(field.name, available)
if candidate:
fields[field.name] = {"path": f"$.{candidate}", "type": field.type}
elif field.name == "data" and target_schema_key == "generic_records":
fields[field.name] = {"path": "$", "type": "object"}
elif not field.required:
fields[field.name] = {"path": f"$.{field.name}", "type": field.type, "default": None}
return {
"source": {"items_path": items_path},
"fields": fields,
"meta": {
"generated_by": "heuristic",
"requires_review": True,
},
}
def _flatten_keys(payload: dict[str, Any], prefix: str = "") -> list[str]:
keys: list[str] = []
for key, value in payload.items():
dotted = f"{prefix}.{key}" if prefix else str(key)
keys.append(dotted)
if isinstance(value, dict):
keys.extend(_flatten_keys(value, dotted))
return keys
def _best_field_match(field_name: str, candidates: list[str]) -> str | None:
aliases = {
"lat": ("lat", "latitude", "y"),
"lon": ("lon", "lng", "longitude", "x"),
"mmsi": ("mmsi",),
"sog": ("sog", "speed", "speedOverGround"),
"cog": ("cog", "course", "courseOverGround"),
"received_at": ("received_at", "timestamp", "time", "updated_at"),
"observed_at": ("observed_at", "timestamp", "time", "updated_at"),
"source_id": ("id", "source_id", "uuid"),
}.get(field_name, (field_name,))
lowered = {candidate.lower(): candidate for candidate in candidates}
for alias in aliases:
if alias.lower() in lowered:
return lowered[alias.lower()]
for candidate in candidates:
tail = candidate.split(".")[-1].lower()
if tail in {alias.lower() for alias in aliases}:
return candidate
return None
def _parse_datetime(value: Any) -> datetime | None:
if value is None:
return None
if isinstance(value, datetime):
return value
if isinstance(value, str):
return datetime.fromisoformat(value.replace("Z", "+00:00"))
return None
async def persist_mapped_records(
db: AsyncSession,
*,
datasource_name: str,
datasource_config_id: int,
target_schema: str,
records: list[dict[str, Any]],
mapping_version: int,
delivery_mode: str | None = None,
transport: str | None = None,
) -> int:
"""Persist validated mapped records to the destination for a target schema."""
if target_schema == "vessel_ais":
from app.core.time import to_iso8601_utc
from app.core.websocket.broadcaster import broadcaster
from app.services.vessel_ais_aggregation import (
record_vessel_ais_observation,
update_ais_source_health,
)
now = datetime.now(UTC)
latest_observed_at = now
written_count = 0
for record in records:
observed_at = _parse_datetime(record.get("received_at")) or now
observation = await record_vessel_ais_observation(
db,
source=datasource_name,
normalized_payload=record,
raw_payload=record,
delivery_mode=delivery_mode or "polling",
transport=transport or "http",
message_type="PositionReport",
observed_at=observed_at,
collected_at=now,
)
if observation is not None:
written_count += 1
if observed_at > latest_observed_at:
latest_observed_at = observed_at
await update_ais_source_health(
db,
source=datasource_name,
connection_state="connected",
observed_count=len(records),
last_seen_at=latest_observed_at,
last_success_at=now if records else None,
lag_seconds=max((now - latest_observed_at).total_seconds(), 0),
)
await db.commit()
if records:
await broadcaster.broadcast_custom(
"vessels",
{
"action": "upsert",
"source": datasource_name,
"created": True,
"vessels": [
{
"mmsi": record.get("mmsi"),
"mmsi_display": str(record.get("mmsi")) if record.get("mmsi") is not None else None,
"name": record.get("name"),
"callsign": record.get("callsign"),
"lat": record.get("lat"),
"lon": record.get("lon"),
"sog": record.get("sog"),
"cog": record.get("cog"),
"heading": record.get("heading"),
"nav_status": record.get("nav_status"),
"vessel_type": record.get("vessel_type"),
"vessel_type_name": record.get("vessel_type_name"),
"received_at": to_iso8601_utc(_parse_datetime(record.get("received_at"))),
}
for record in records
],
},
)
return written_count
from app.models.collected_data import CollectedData
collected_at = datetime.now(UTC)
for index, record in enumerate(records):
if target_schema == "geo_points":
source_id = record.get("source_id") or f"{datasource_config_id}:{index}"
name = record.get("name")
metadata = {
"latitude": record.get("lat"),
"longitude": record.get("lon"),
"type": record.get("type"),
"mapping_version": mapping_version,
"target_schema": target_schema,
**(record.get("metadata") or {}),
}
reference_date = _parse_datetime(record.get("observed_at"))
else:
source_id = record.get("source_id") or f"{datasource_config_id}:{index}"
name = None
metadata = {
"data": record.get("data") or {},
"mapping_version": mapping_version,
"target_schema": target_schema,
}
reference_date = _parse_datetime(record.get("observed_at"))
db.add(
CollectedData(
source=datasource_name,
source_id=str(source_id),
entity_key=f"{datasource_name}:{source_id}",
data_type=target_schema,
name=name,
title=name,
extra_data=metadata,
collected_at=collected_at,
reference_date=reference_date,
is_valid=1,
is_current=True,
change_type="created",
change_summary={},
)
)
await db.commit()
return len(records)

View File

@@ -0,0 +1,121 @@
"""Server-side Docs metadata and Gatekeeper authorization helpers."""
from __future__ import annotations
from dataclasses import dataclass
from pathlib import Path
from typing import Literal
from app.models.user import User
DocsAccess = Literal["public", "docs_user", "docs_developer", "docs_admin"]
DocsLang = Literal["zh", "en"]
VALID_DOCS_LANGS = {"zh", "en"}
DOCS_README_FILENAME = "README.md"
DEFAULT_DOCS_SLUG = "overview"
REPO_ROOT = Path(__file__).resolve().parents[3]
TECHNICAL_DOCS_ROOT = REPO_ROOT / "docs" / "technical"
@dataclass(frozen=True)
class DocsMetadata:
filename: str
slug: str
access: DocsAccess
group: str
order: int
zh_title: str
en_title: str
DOCS_METADATA: tuple[DocsMetadata, ...] = (
DocsMetadata(DOCS_README_FILENAME, DEFAULT_DOCS_SLUG, "public", "Overview", 0, "技术文档", "Technical Docs"),
DocsMetadata("quickstart.md", "quickstart", "public", "Manual", 1, "快速开始", "Quickstart"),
DocsMetadata("manual.md", "manual", "public", "Manual", 2, "Planet 使用手册", "Planet Manual"),
DocsMetadata("faq.md", "faq", "public", "Manual", 3, "常见问题", "FAQ"),
DocsMetadata("location-pipeline-user.md", "location-pipeline-user", "public", "Manual", 4, "Earth 位置候选采集使用手册", "Earth Location Candidate Collection User Guide"),
DocsMetadata("earth-frontend-context.md", "earth-frontend-context", "docs_developer", "Earth", 10, "Earth 前端结构", "Earth Frontend Context"),
DocsMetadata("earth-layer-style-reference.md", "earth-layer-style-reference", "docs_developer", "Earth", 11, "Earth 图层样式属性索引", "Earth Layer Style Reference"),
DocsMetadata("earth-render-layer-order.md", "earth-render-layer-order", "docs_developer", "Earth", 12, "Earth 渲染图层顺序", "Earth Render Layer Order"),
DocsMetadata("earth-satellite-footprint-policy.md", "earth-satellite-footprint-policy", "docs_developer", "Earth", 13, "Earth 卫星覆盖策略", "Earth Satellite Footprint Policy"),
DocsMetadata("earth-bgp-context.md", "earth-bgp-context", "docs_developer", "Earth", 14, "BGP 态势上下文", "BGP Context"),
DocsMetadata("earth-news-live-streams-collector-format.md", "earth-news-live-streams-collector-format", "docs_developer", "Earth", 15, "新闻直播采集格式", "News Live Streams Collector Format"),
DocsMetadata("earth-interactable-usage.md", "earth-interactable-usage", "docs_developer", "Earth", 16, "Earth 可交互图标接入", "Earth Interactable Usage"),
DocsMetadata("earth-toolbar-overlay-coordination.md", "earth-toolbar-overlay-coordination", "docs_developer", "Earth", 17, "Earth 工具栏与浮层协同", "Earth Toolbar and Overlay Coordination"),
DocsMetadata("frontend-admin-frontend-context.md", "frontend-admin-frontend-context", "docs_developer", "Frontend", 20, "控制台前端结构", "Admin Frontend Context"),
DocsMetadata("frontend-layout-guidelines.md", "frontend-layout-guidelines", "docs_developer", "Frontend", 21, "前端布局指南", "Frontend Layout Guidelines"),
DocsMetadata("docs-gatekeeper-development.md", "docs-gatekeeper-development", "docs_developer", "Frontend", 22, "Docs Gatekeeper 开发说明", "Docs Gatekeeper Development Guide"),
DocsMetadata("backend-collectors.md", "backend-collectors", "docs_developer", "Backend", 30, "数据采集系统", "Data Collectors"),
DocsMetadata("backend-system-service-control.md", "backend-system-service-control", "docs_admin", "Backend", 31, "系统服务控制", "System Service Control"),
DocsMetadata("datasource-collector-settings-connectivity.md", "datasource-collector-settings-connectivity", "docs_developer", "Backend", 32, "数据源、采集器设置与连接验证", "Datasource Collector Settings and Connectivity"),
DocsMetadata("backend-datasources-api-performance.md", "backend-datasources-api-performance", "docs_developer", "Backend", 33, "数据源 API 性能", "Datasource API Performance"),
DocsMetadata("location-pipeline-development.md", "location-pipeline-development", "docs_developer", "Backend", 34, "通用位置估算管线开发说明", "Shared Location Resolution Pipeline Development Guide"),
DocsMetadata("agents-aiprovider.md", "agents-aiprovider", "docs_developer", "Agents", 40, "AI Provider 指南", "AI Provider Guide"),
DocsMetadata("ops-runbook.md", "ops-runbook", "docs_admin", "Ops", 49, "Planet 运维手册", "Planet Ops Runbook"),
DocsMetadata("ops-docker-compose-buildx-upgrade.md", "ops-docker-compose-buildx-upgrade", "docs_admin", "Ops", 50, "Docker + Compose + Buildx 升级", "Docker + Compose + Buildx Upgrade"),
DocsMetadata("ops-planet-sh-startup.md", "ops-planet-sh-startup", "docs_admin", "Ops", 51, "planet.sh 启动机制", "planet.sh Startup"),
)
DOCS_BY_SLUG = {entry.slug: entry for entry in DOCS_METADATA}
def get_user_gatekeeper_groups(user: User | None) -> set[str]:
if user is None:
return set()
role = user.role.value if hasattr(user.role, "value") else str(user.role or "")
if role == "super_admin":
return {"docs_user", "docs_developer", "docs_admin"}
if role == "admin":
return {"docs_user", "docs_developer", "docs_admin"}
groups = set()
raw_groups = user.gatekeeper_groups or []
if isinstance(raw_groups, list):
groups.update(str(group) for group in raw_groups)
if "docs_admin" in groups:
groups.update({"docs_developer", "docs_user"})
if "docs_developer" in groups:
groups.add("docs_user")
return groups
def can_read_doc(entry: DocsMetadata, user: User | None) -> bool:
if entry.access == "public":
return True
return entry.access in get_user_gatekeeper_groups(user)
def doc_path_for(entry: DocsMetadata, lang: str) -> Path:
if lang not in VALID_DOCS_LANGS:
raise ValueError("Unsupported docs language")
return TECHNICAL_DOCS_ROOT / lang / entry.filename
def title_for(entry: DocsMetadata, lang: str) -> str:
return entry.zh_title if lang == "zh" else entry.en_title
def catalog_for_user(user: User | None) -> list[dict]:
items: list[dict] = []
for entry in DOCS_METADATA:
if not can_read_doc(entry, user):
continue
for lang in sorted(VALID_DOCS_LANGS):
if not doc_path_for(entry, lang).exists():
continue
items.append(
{
"slug": entry.slug,
"filename": entry.filename,
"lang": lang,
"title": title_for(entry, lang),
"group": entry.group,
"order": entry.order,
"access": entry.access,
}
)
return sorted(items, key=lambda item: (item["lang"], item["order"], item["title"]))

View File

@@ -30,6 +30,14 @@ class RegionProfile:
accent: str
@dataclass(frozen=True)
class RegionAnchor:
region: str
label: str
latitude: float
longitude: float
@dataclass(frozen=True)
class NewsFeedSource:
id: str
@@ -95,6 +103,39 @@ REGION_PROFILES: dict[str, RegionProfile] = {
),
}
REGION_ANCHORS: dict[str, RegionAnchor] = {
"americas": RegionAnchor(
region="americas",
label="美洲",
latitude=37.0902,
longitude=-95.7129,
),
"europe": RegionAnchor(
region="europe",
label="欧洲",
latitude=50.1109,
longitude=8.6821,
),
"middle-east-africa": RegionAnchor(
region="middle-east-africa",
label="中东与非洲",
latitude=25.2048,
longitude=55.2708,
),
"asia-pacific": RegionAnchor(
region="asia-pacific",
label="亚太",
latitude=1.3521,
longitude=103.8198,
),
"global": RegionAnchor(
region="global",
label="全球",
latitude=20.0,
longitude=0.0,
),
}
def _google_news_feed(query: str, *, hl: str, gl: str, ceid: str) -> str:
return (
@@ -213,6 +254,10 @@ def get_region_profile(region: str) -> RegionProfile:
return REGION_PROFILES.get(region, REGION_PROFILES["global"])
def get_region_anchor(region: str) -> RegionAnchor:
return REGION_ANCHORS.get(region, REGION_ANCHORS["global"])
def get_sources_for_region(region: str) -> list[NewsFeedSource]:
return sorted(
[source for source in NEWS_FEED_SOURCES if source.region in {"global", region}],
@@ -342,6 +387,7 @@ def _serialize_sources(sources: list[NewsFeedSource]) -> list[dict[str, Any]]:
def _serialize_item(item: ParsedNewsItem, *, active_region: str) -> dict[str, Any]:
published_at = item.published_at
anchor = get_region_anchor(item.feed_region)
return {
"id": item.id,
"title": item.title,
@@ -352,6 +398,10 @@ def _serialize_item(item: ParsedNewsItem, *, active_region: str) -> dict[str, An
"region": item.feed_region,
"homepage_url": item.homepage_url,
"published_at": published_at.isoformat().replace("+00:00", "Z") if published_at else None,
"latitude": anchor.latitude,
"longitude": anchor.longitude,
"location_label": anchor.label,
"location_inferred": True,
"is_focus_match": item.feed_region == active_region,
}

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@@ -0,0 +1,123 @@
"""SMTP-backed email sender.
Generic primitive used by registration/verification today, reusable for alert
digests and other notifications later. Configuration lives in the `smtp` row of
`system_settings` and is loaded once per send (small surface, no caching layer
yet to keep behavior obvious after settings changes).
"""
from __future__ import annotations
from email.message import EmailMessage
from typing import Literal, Optional
import aiosmtplib
from sqlalchemy.ext.asyncio import AsyncSession
OtpPurpose = Literal["register", "verify_email", "reset_password"]
class EmailError(Exception):
code: str = "EMAIL_ERROR"
class EmailNotConfiguredError(EmailError):
code = "EMAIL_PROVIDER_NOT_CONFIGURED"
class EmailSendError(EmailError):
code = "EMAIL_SEND_FAILED"
async def _load_smtp_config(db: AsyncSession) -> dict:
from app.api.v1.settings import get_setting_payload # local import avoids cycle
payload = await get_setting_payload(db, "smtp")
if not payload.get("host") or not payload.get("from_address"):
raise EmailNotConfiguredError("SMTP host/from_address not set")
return payload
async def send_email(
db: AsyncSession,
*,
to: str,
subject: str,
text_body: str,
html_body: Optional[str] = None,
config: Optional[dict] = None,
) -> None:
cfg = config or await _load_smtp_config(db)
message = EmailMessage()
from_name = (cfg.get("from_name") or "").strip()
from_address = cfg["from_address"]
message["From"] = f"{from_name} <{from_address}>" if from_name else from_address
message["To"] = to
message["Subject"] = subject
message.set_content(text_body)
if html_body:
message.add_alternative(html_body, subtype="html")
use_tls = bool(cfg.get("use_tls", True))
use_starttls = bool(cfg.get("use_starttls", False))
port = int(cfg.get("port") or (465 if use_tls else 587))
try:
await aiosmtplib.send(
message,
hostname=cfg["host"],
port=port,
username=cfg.get("username") or None,
password=cfg.get("password") or None,
use_tls=use_tls and not use_starttls,
start_tls=use_starttls,
timeout=int(cfg.get("timeout_seconds") or 20),
)
except aiosmtplib.SMTPException as exc:
raise EmailSendError(str(exc)) from exc
except OSError as exc:
raise EmailSendError(str(exc)) from exc
_SUBJECTS: dict[OtpPurpose, str] = {
"register": "Confirm your Planet account",
"verify_email": "Verify your Planet email",
"reset_password": "Reset your Planet password",
}
_HEADLINES: dict[OtpPurpose, str] = {
"register": "Welcome to Planet — confirm your email to activate your account.",
"verify_email": "Confirm your new email address to keep your Planet account active.",
"reset_password": "Use this code to set a new password for your Planet account.",
}
async def send_verification_email(
db: AsyncSession,
*,
to: str,
code: str,
purpose: OtpPurpose,
config: Optional[dict] = None,
) -> None:
subject = _SUBJECTS[purpose]
headline = _HEADLINES[purpose]
text_body = (
f"{headline}\n\n"
f"Your verification code: {code}\n"
"This code expires in 10 minutes. If you did not request it, ignore this email.\n"
)
html_body = (
f"<p>{headline}</p>"
f"<p style=\"font-size:24px;letter-spacing:4px;font-family:monospace\"><b>{code}</b></p>"
"<p>This code expires in 10 minutes. If you did not request it, ignore this email.</p>"
)
await send_email(
db,
to=to,
subject=subject,
text_body=text_body,
html_body=html_body,
config=config,
)

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@@ -0,0 +1,150 @@
"""LLM provider presets used by Settings and the runtime AI provider bridge."""
from __future__ import annotations
from typing import Any
import httpx
MODELS_DEV_URL = "https://models.dev/api.json"
FALLBACK_LLM_PROVIDER_PRESETS: dict[str, dict[str, Any]] = {
"minimax": {
"provider": "minimax",
"label": "MiniMax",
"provider_api": "anthropic-messages",
"base_url": "https://api.minimaxi.com/anthropic",
"model": "MiniMax-M2.7",
"models": ["MiniMax-M2.7", "MiniMax-M2.7-highspeed", "MiniMax-M2.5", "MiniMax-M2"],
"api_key_env": "MINIMAX_API_KEY",
"source": "fallback",
},
"openai": {
"provider": "openai",
"label": "OpenAI",
"provider_api": "openai-completions",
"base_url": "https://api.openai.com/v1",
"model": "gpt-5.1",
"models": ["gpt-5.1", "gpt-5.1-codex", "gpt-4.1", "gpt-4o"],
"api_key_env": "OPENAI_API_KEY",
"source": "fallback",
},
"anthropic": {
"provider": "anthropic",
"label": "Anthropic",
"provider_api": "anthropic-messages",
"base_url": "https://api.anthropic.com/v1",
"model": "claude-sonnet-4-6",
"models": ["claude-sonnet-4-6", "claude-opus-4-5", "claude-3-5-haiku-20241022"],
"api_key_env": "ANTHROPIC_API_KEY",
"source": "fallback",
},
"deepseek": {
"provider": "deepseek",
"label": "DeepSeek",
"provider_api": "openai-completions",
"base_url": "https://api.deepseek.com/v1",
"model": "deepseek-chat",
"models": ["deepseek-chat", "deepseek-reasoner"],
"api_key_env": "DEEPSEEK_API_KEY",
"source": "fallback",
},
"alibaba": {
"provider": "alibaba",
"label": "Alibaba Qwen / DashScope",
"provider_api": "openai-completions",
"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
"model": "qwen3-max",
"models": ["qwen3-max", "qwen3.5-plus", "qwen-max", "qwen-plus"],
"api_key_env": "DASHSCOPE_API_KEY",
"source": "fallback",
},
"moonshotai": {
"provider": "moonshotai",
"label": "Moonshot AI / Kimi",
"provider_api": "openai-completions",
"base_url": "https://api.moonshot.ai/v1",
"model": "kimi-k2.5",
"models": ["kimi-k2.5", "kimi-k2-thinking", "kimi-k2-turbo-preview"],
"api_key_env": "MOONSHOT_API_KEY",
"source": "fallback",
},
"openrouter": {
"provider": "openrouter",
"label": "OpenRouter",
"provider_api": "openai-completions",
"base_url": "https://openrouter.ai/api/v1",
"model": "openai/gpt-5.1",
"models": ["openai/gpt-5.1", "anthropic/claude-sonnet-4.5", "qwen/qwen3-max"],
"api_key_env": "OPENROUTER_API_KEY",
"source": "fallback",
},
"ollama": {
"provider": "ollama",
"label": "Ollama Local",
"provider_api": "ollama-generate",
"base_url": "http://127.0.0.1:11434",
"model": "qwen2.5:7b",
"models": ["qwen2.5:7b", "llama3.1:8b", "mistral:7b"],
"api_key_env": "",
"source": "fallback",
},
}
MODELS_DEV_PROVIDER_KEYS = {
"minimax": "minimax",
"openai": "openai",
"anthropic": "anthropic",
"deepseek": "deepseek",
"alibaba": "alibaba",
"moonshotai": "moonshotai",
"openrouter": "openrouter",
}
def list_fallback_llm_provider_presets() -> list[dict[str, Any]]:
return [dict(value) for value in FALLBACK_LLM_PROVIDER_PRESETS.values()]
def get_fallback_llm_provider_preset(provider: str) -> dict[str, Any]:
key = provider.strip().lower()
if key not in FALLBACK_LLM_PROVIDER_PRESETS:
raise ValueError(f"Unsupported LLM provider preset: {provider}")
return dict(FALLBACK_LLM_PROVIDER_PRESETS[key])
async def refresh_llm_provider_preset(provider: str) -> dict[str, Any]:
fallback = get_fallback_llm_provider_preset(provider)
models_dev_key = MODELS_DEV_PROVIDER_KEYS.get(fallback["provider"])
if not models_dev_key:
return fallback
async with httpx.AsyncClient(timeout=15.0, follow_redirects=True) as client:
response = await client.get(
MODELS_DEV_URL,
headers={"User-Agent": "Planet/1.0"},
)
response.raise_for_status()
catalog = response.json()
upstream = catalog.get(models_dev_key)
if not isinstance(upstream, dict):
return fallback
upstream_models = upstream.get("models") if isinstance(upstream.get("models"), dict) else {}
model_ids = list(upstream_models.keys())[:80]
base_url = upstream.get("api") or fallback["base_url"]
if fallback["provider"] == "deepseek" and base_url == "https://api.deepseek.com":
base_url = "https://api.deepseek.com/v1"
refreshed = {
**fallback,
"label": upstream.get("name") or fallback["label"],
"base_url": base_url,
"model": model_ids[0] if model_ids else fallback["model"],
"models": model_ids or fallback["models"],
"api_key_env": (upstream.get("env") or [fallback["api_key_env"]])[0],
"source": MODELS_DEV_URL,
}
return refreshed

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@@ -0,0 +1,57 @@
"""Shared location-resolution pipeline.
A reusable abstraction for "given a record, decide its lat/lon" — used by
compute centers, BGP collectors, BGP events, and any future entity that needs
location estimation.
Each domain wires its own :class:`LocationPipeline` from a sequence of
:class:`LocationResolver` instances. Future algorithms (peeringdb, IXP tables,
user-confirmed coordinates, …) plug in by implementing the protocol — no
changes needed to consumers.
"""
from .models import (
LocationCandidate,
LocationQuery,
ResolutionDiagnostic,
ResolutionResult,
ResolverOutput,
)
from .pipeline import LocationPipeline, LocationResolver
from .resolvers.inherit import InheritFromAnotherEntityResolver
from .resolvers.nominatim import (
NominatimResolver,
build_default_nominatim_geocoder,
interpret_geocode_result,
)
from .resolvers.registry import RegistryResolver, default_score_alias_match
from .resolvers.source_coordinates import SourceCoordinatesResolver
from .text import (
city_key,
coerce_str,
normalize_country_text,
normalize_text,
parse_float,
)
__all__ = [
"LocationCandidate",
"LocationPipeline",
"LocationQuery",
"LocationResolver",
"ResolutionDiagnostic",
"ResolutionResult",
"ResolverOutput",
"InheritFromAnotherEntityResolver",
"NominatimResolver",
"RegistryResolver",
"SourceCoordinatesResolver",
"build_default_nominatim_geocoder",
"city_key",
"coerce_str",
"default_score_alias_match",
"interpret_geocode_result",
"normalize_country_text",
"normalize_text",
"parse_float",
]

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@@ -0,0 +1,128 @@
"""Domain-neutral data structures for the location pipeline."""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any, Mapping
# Renderable precision tiers, ordered from most precise to least.
RENDERABLE_PRECISIONS: tuple[str, ...] = ("precise", "site", "city")
@dataclass(frozen=True)
class LocationQuery:
"""Domain-neutral input for the resolution pipeline.
``name`` and ``aliases`` are matched against registry alias indexes;
``city`` / ``country`` / ``region`` provide geographic context for both
registry lookups and Nominatim queries; ``source_latitude`` /
``source_longitude`` short-circuit when the record already carries
coordinates; ``extra`` carries domain-specific fields (operator, site,
organization, asn, peer_ip, …) that resolvers can opt into.
"""
name: str | None = None
aliases: tuple[str, ...] = ()
city: str | None = None
country: str | None = None
region: str | None = None
source_latitude: float | None = None
source_longitude: float | None = None
extra: Mapping[str, Any] = field(default_factory=dict)
@dataclass(frozen=True)
class LocationCandidate:
"""A resolved location candidate produced by a resolver."""
latitude: float
longitude: float
display_name: str
precision: str # "precise" | "site" | "city" | (rejected: country/unknown)
confidence: float
query: str
source: str
source_note: str | None
matched_fields: tuple[str, ...]
needs_confirmation: bool
city: str | None = None
region: str | None = None
country: str | None = None
matched_location_name: str | None = None
location_verified_at: str | None = None
suggested_registry_entry: dict[str, Any] | None = None
raw_payload: dict[str, Any] | None = None
def to_dict(self) -> dict[str, Any]:
return {
"latitude": self.latitude,
"longitude": self.longitude,
"display_name": self.display_name,
"precision": self.precision,
"confidence": self.confidence,
"query": self.query,
"source": self.source,
"source_note": self.source_note,
"matched_fields": list(self.matched_fields),
"needs_confirmation": self.needs_confirmation,
"city": self.city,
"region": self.region,
"country": self.country,
"matched_location_name": self.matched_location_name,
"location_verified_at": self.location_verified_at,
"suggested_registry_entry": self.suggested_registry_entry,
"raw_payload": self.raw_payload,
}
@dataclass(frozen=True)
class ResolverOutput:
"""What a single resolver returns from one ``resolve()`` call."""
candidates: tuple[LocationCandidate, ...] = ()
attempted_queries: tuple[str, ...] = ()
@dataclass(frozen=True)
class ResolutionDiagnostic:
"""Why we could not resolve, plus what we tried."""
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
extra: Mapping[str, Any] = field(default_factory=dict)
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,
**({"extra": dict(self.extra)} if self.extra else {}),
}
@dataclass(frozen=True)
class ResolutionResult:
"""Pipeline output: best candidate (if any) + diagnostic on miss."""
location: LocationCandidate | None
diagnostic: ResolutionDiagnostic | None
attempted_queries: tuple[str, ...] = ()
@property
def is_resolved(self) -> bool:
return bool(self.location)

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@@ -0,0 +1,126 @@
"""Pipeline that runs a sequence of :class:`LocationResolver` instances."""
from __future__ import annotations
from typing import Protocol, Sequence
from .models import (
LocationCandidate,
LocationQuery,
ResolutionDiagnostic,
ResolutionResult,
ResolverOutput,
)
class LocationResolver(Protocol):
"""Pluggable location resolution step.
Implementations: ``SourceCoordinatesResolver``, ``RegistryResolver``,
``NominatimResolver``, ``InheritFromAnotherEntityResolver`` — see the
``resolvers`` subpackage. New algorithms (peeringdb / IXP / user-confirmed
coordinates) plug in by implementing this protocol; the pipeline does not
care how candidates are produced.
"""
name: str
def resolve(self, query: LocationQuery) -> ResolverOutput: ...
def default_candidate_sort_key(
candidate: LocationCandidate,
) -> tuple[int, int, float]:
precision_rank = {"precise": 0, "site": 1, "city": 2}.get(
candidate.precision, 9
)
source_rank = {
"source_coordinates": 0,
"stored_compute_center_location": 1,
"stored_collector_location": 1,
"ror_organization_registry": 2,
"inherited": 3,
"nominatim_online_geocode": 4,
"local_registry": 8,
"local_registry_city": 9,
}.get(candidate.source, 9)
return (source_rank, precision_rank, -float(candidate.confidence or 0))
class LocationPipeline:
"""Orchestrate a sequence of resolvers.
``collect_candidates`` runs every resolver and returns *all* deduped
candidates plus the queries each resolver attempted (useful for
user-facing "why didn't this work?" diagnostics).
``resolve_best`` returns the top candidate per
:func:`default_candidate_sort_key` (or a custom sort).
"""
def __init__(
self,
resolvers: Sequence[LocationResolver],
*,
sort_key=default_candidate_sort_key,
failure_reason: str = (
"Could not resolve to renderable coordinates from any configured resolver."
),
) -> None:
self._resolvers = list(resolvers)
self._sort_key = sort_key
self._failure_reason = failure_reason
@property
def resolvers(self) -> tuple[LocationResolver, ...]:
return tuple(self._resolvers)
def collect_candidates(
self, query: LocationQuery
) -> tuple[list[LocationCandidate], list[str]]:
candidates: list[LocationCandidate] = []
attempted: list[str] = []
seen_keys: set[tuple[str, str, str]] = set()
for resolver in self._resolvers:
output = resolver.resolve(query)
for q in output.attempted_queries:
if q and q not in attempted:
attempted.append(q)
for candidate in output.candidates:
key = (
candidate.source,
f"{candidate.latitude:.4f}",
f"{candidate.longitude:.4f}",
)
if key in seen_keys:
continue
seen_keys.add(key)
candidates.append(candidate)
candidates.sort(key=self._sort_key)
return candidates, attempted
def resolve_best(self, query: LocationQuery) -> ResolutionResult:
candidates, attempted = self.collect_candidates(query)
if candidates:
return ResolutionResult(
location=candidates[0],
diagnostic=None,
attempted_queries=tuple(attempted),
)
return ResolutionResult(
location=None,
diagnostic=ResolutionDiagnostic(
failure_reason=self._failure_reason,
attempted_queries=tuple(attempted),
name=query.name,
country=query.country,
city=query.city,
site=str(query.extra.get("site")) if query.extra.get("site") else None,
operator=str(query.extra.get("operator"))
if query.extra.get("operator")
else None,
),
attempted_queries=tuple(attempted),
)

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@@ -0,0 +1,20 @@
"""Built-in resolver implementations."""
from .inherit import InheritFromAnotherEntityResolver
from .nominatim import (
NominatimResolver,
build_default_nominatim_geocoder,
interpret_geocode_result,
)
from .registry import RegistryResolver, default_score_alias_match
from .source_coordinates import SourceCoordinatesResolver
__all__ = [
"InheritFromAnotherEntityResolver",
"NominatimResolver",
"RegistryResolver",
"SourceCoordinatesResolver",
"build_default_nominatim_geocoder",
"default_score_alias_match",
"interpret_geocode_result",
]

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@@ -0,0 +1,31 @@
"""Resolver that inherits a candidate from another entity's resolution.
Used by BGP events to pick up the location of their owning collector. The
``source_lookup`` callable is the only domain coupling — it receives the
incoming :class:`LocationQuery` and returns either an already-resolved
:class:`LocationCandidate` (typically by querying another pipeline) or
``None`` to signal "no parent location available".
"""
from __future__ import annotations
from typing import Callable
from ..models import LocationCandidate, LocationQuery, ResolverOutput
class InheritFromAnotherEntityResolver:
def __init__(
self,
*,
source_lookup: Callable[[LocationQuery], LocationCandidate | None],
name: str = "inherited",
) -> None:
self.name = name
self._lookup = source_lookup
def resolve(self, query: LocationQuery) -> ResolverOutput:
result = self._lookup(query)
if result is None:
return ResolverOutput()
return ResolverOutput(candidates=(result,))

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