release: bump version to 0.43.0
This commit is contained in:
@@ -1,20 +1,34 @@
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"""DataSourceConfig API for user-defined data sources"""
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from typing import Optional
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from typing import Any, Optional
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from datetime import datetime
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import base64
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import json
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import re
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from fastapi import APIRouter, Depends, HTTPException, status
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from sqlalchemy import select, func
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from sqlalchemy.ext.asyncio import AsyncSession
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from pydantic import BaseModel, Field
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import httpx
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from app.core.target_schema_registry import get_target_schema, list_target_schemas
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from app.db.session import get_db
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from app.models.user import User
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from app.models.datasource_config import DataSourceConfig
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from app.models.datasource_mapping import DataSourceMappingTemplate
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from app.core.security import get_current_user
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from app.core.cache import cache
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from app.core.time import to_iso8601_utc
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from app.schemas.ai import SituationalAnalysisRequest
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from app.services.ai_client import AIProviderClient, get_ai_provider_client
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from app.services.datasource_mapping import (
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MappingError,
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build_heuristic_mapping,
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execute_mapping,
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persist_mapped_records,
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redact_for_llm,
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stable_payload_hash,
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)
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router = APIRouter()
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@@ -59,6 +73,44 @@ class DataSourceConfigResponse(BaseModel):
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from_attributes = True
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class CustomSampleRequest(BaseModel):
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datasource_config_id: Optional[int] = None
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config: Optional[DataSourceConfigCreate] = None
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limit_bytes: int = Field(default=200000, ge=1000, le=1000000)
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class MappingProposeRequest(BaseModel):
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sample_payload: Any
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target_schema: str
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use_ai: bool = True
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class MappingPreviewRequest(BaseModel):
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sample_payload: Any
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target_schema: str
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mapping_json: dict
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limit: int = Field(default=20, ge=1, le=100)
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class MappingTemplateCreate(BaseModel):
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datasource_config_id: int
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target_schema: str
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mapping_json: dict
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sample_payload: Any | None = None
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sample_payload_hash: Optional[str] = None
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validation_status: str = Field(default="draft", pattern="^(draft|valid|invalid)$")
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is_active: bool = False
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class MappingTemplateUpdate(BaseModel):
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target_schema: Optional[str] = None
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mapping_json: Optional[dict] = None
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sample_payload: Any | None = None
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sample_payload_hash: Optional[str] = None
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validation_status: Optional[str] = Field(default=None, pattern="^(draft|valid|invalid)$")
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is_active: Optional[bool] = None
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async def test_endpoint(
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endpoint: str,
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auth_type: str,
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@@ -96,6 +148,134 @@ async def test_endpoint(
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}
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def _build_request_headers(auth_type: str, auth_config: dict, headers: dict) -> dict[str, str]:
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request_headers = {str(key): str(value) for key, value in (headers or {}).items()}
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auth_type = str(auth_type or "none").lower()
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auth_config = auth_config or {}
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if auth_type == "bearer" and auth_config.get("token"):
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request_headers["Authorization"] = f"Bearer {auth_config['token']}"
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elif auth_type == "api_key" and auth_config.get("api_key"):
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location = str(auth_config.get("in") or auth_config.get("location") or "header").lower()
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if location != "query":
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key_name = auth_config.get("key_name", "X-API-Key")
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request_headers[str(key_name)] = str(auth_config["api_key"])
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elif auth_type == "basic":
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username = auth_config.get("username", "")
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password = auth_config.get("password", "")
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credentials = f"{username}:{password}"
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encoded = base64.b64encode(credentials.encode()).decode()
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request_headers["Authorization"] = f"Basic {encoded}"
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return request_headers
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def _build_query_params(auth_type: str, auth_config: dict, config: dict) -> dict[str, Any]:
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params = {}
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candidate = (config or {}).get("params") or (config or {}).get("query_params")
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if isinstance(candidate, dict):
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params.update(candidate)
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auth_type = str(auth_type or "none").lower()
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auth_config = auth_config or {}
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if auth_type == "api_key" and auth_config.get("api_key"):
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location = str(auth_config.get("in") or auth_config.get("location") or "header").lower()
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if location == "query":
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key_name = auth_config.get("key_name") or auth_config.get("param_name") or "api_key"
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params[str(key_name)] = auth_config["api_key"]
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return params
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async def fetch_custom_sample_from_config(config: DataSourceConfig, limit_bytes: int) -> Any:
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request_config = config.config or {}
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method = str(request_config.get("method") or request_config.get("request_method") or "GET").upper()
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if method not in {"GET", "POST"}:
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raise HTTPException(status_code=400, detail="Only GET and POST sample requests are supported.")
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headers = _build_request_headers(config.auth_type, config.auth_config or {}, config.headers or {})
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params = _build_query_params(config.auth_type, config.auth_config or {}, request_config)
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timeout = float(request_config.get("timeout", 30))
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json_body = request_config.get("json_body")
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if json_body is None and str(request_config.get("body_type") or "").lower() in {"json", ""}:
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candidate = request_config.get("body")
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if isinstance(candidate, (dict, list)):
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json_body = candidate
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async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
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response = await client.request(
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method,
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config.endpoint,
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headers=headers,
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params=params or None,
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json=json_body,
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)
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response.raise_for_status()
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content = response.content[:limit_bytes]
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if "application/json" in response.headers.get("content-type", ""):
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return json.loads(content.decode(response.encoding or "utf-8"))
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return {"text": content.decode(response.encoding or "utf-8", errors="replace")}
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def _parse_mapping_from_ai_text(content: str) -> dict[str, Any] | None:
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if not content:
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return None
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candidates = [content]
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fenced = re.findall(r"```(?:json)?\s*(\{.*?\})\s*```", content, flags=re.DOTALL)
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candidates = fenced + candidates
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for candidate in candidates:
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try:
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parsed = json.loads(candidate)
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except json.JSONDecodeError:
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continue
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if isinstance(parsed, dict) and isinstance(parsed.get("fields"), dict):
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return parsed
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return None
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async def _get_config_for_sample(
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payload: CustomSampleRequest,
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db: AsyncSession,
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) -> DataSourceConfig:
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if payload.datasource_config_id is not None:
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result = await db.execute(
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select(DataSourceConfig).where(DataSourceConfig.id == payload.datasource_config_id)
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)
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config = result.scalar_one_or_none()
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if not config:
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raise HTTPException(status_code=404, detail="Configuration not found")
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return config
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if payload.config is None:
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raise HTTPException(status_code=400, detail="datasource_config_id or config is required")
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config_data = payload.config
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return DataSourceConfig(
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name=config_data.name,
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description=config_data.description,
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source_type=config_data.source_type,
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endpoint=config_data.endpoint,
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auth_type=config_data.auth_type,
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auth_config=config_data.auth_config,
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headers=config_data.headers,
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config=config_data.config,
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)
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def serialize_mapping_template(template: DataSourceMappingTemplate) -> dict[str, Any]:
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return {
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"id": template.id,
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"datasource_config_id": template.datasource_config_id,
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"target_schema": template.target_schema,
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"mapping_json": template.mapping_json,
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"sample_payload_hash": template.sample_payload_hash,
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"validation_status": template.validation_status,
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"version": template.version,
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"is_active": template.is_active,
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"created_at": to_iso8601_utc(template.created_at),
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"updated_at": to_iso8601_utc(template.updated_at),
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}
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@router.get("/configs")
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async def list_configs(
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active_only: bool = False,
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@@ -345,3 +525,311 @@ async def list_all_datasources(
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)
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return {"total": len(result), "data": result}
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@router.post("/custom/sample")
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async def fetch_custom_sample(
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payload: CustomSampleRequest,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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"""Fetch a sample payload for a saved or draft custom data source."""
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config = await _get_config_for_sample(payload, db)
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try:
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sample = await fetch_custom_sample_from_config(config, payload.limit_bytes)
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except httpx.HTTPStatusError as exc:
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raise HTTPException(
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status_code=exc.response.status_code,
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detail=f"Sample request failed: HTTP {exc.response.status_code}",
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) from exc
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except httpx.HTTPError as exc:
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raise HTTPException(status_code=502, detail=f"Sample request failed: {exc}") from exc
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return {
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"success": True,
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"sample_payload": sample,
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"sample_payload_hash": stable_payload_hash(sample),
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"redacted_preview": redact_for_llm(sample),
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}
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@router.get("/target-schemas")
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async def get_datasource_target_schemas(
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current_user: User = Depends(get_current_user),
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):
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"""List target schemas available for custom datasource mapping."""
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return {"data": list_target_schemas()}
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@router.post("/mappings/propose")
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async def propose_datasource_mapping(
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payload: MappingProposeRequest,
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current_user: User = Depends(get_current_user),
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ai_client: AIProviderClient = Depends(get_ai_provider_client),
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):
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"""Generate a mapping draft for a sample payload and target schema."""
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schema = get_target_schema(payload.target_schema)
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redacted_sample = redact_for_llm(payload.sample_payload)
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fallback_mapping = build_heuristic_mapping(redacted_sample, payload.target_schema)
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ai_error: str | None = None
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mapping = fallback_mapping
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generated_by = "heuristic"
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if payload.use_ai:
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try:
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response = await ai_client.analyze(
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SituationalAnalysisRequest(
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title=f"Generate datasource mapping for {schema.key}",
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objective=(
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"Return only JSON for a deterministic mapping DSL. "
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"The JSON must contain source.items_path and fields. "
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"Do not include prose or code."
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),
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context={
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"target_schema": schema.to_dict(),
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"sample_payload": redacted_sample,
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"mapping_dsl_example": fallback_mapping,
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},
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observations=[
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"Use JSONPath-like paths beginning with $.",
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"Never generate executable code.",
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"Use field types from the target schema.",
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],
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constraints=[
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"Return a single JSON object.",
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"Do not include credentials or secrets.",
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"Mark uncertain optional fields with default null.",
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],
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)
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)
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parsed = _parse_mapping_from_ai_text(response.content)
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if parsed:
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mapping = parsed
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generated_by = "ai_provider"
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else:
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ai_error = "AI provider did not return a valid mapping JSON object."
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except HTTPException as exc:
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ai_error = str(exc.detail)
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mapping.setdefault("meta", {})
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if isinstance(mapping["meta"], dict):
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mapping["meta"].update(
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{
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"generated_by": generated_by,
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"requires_review": True,
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"ai_error": ai_error,
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}
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)
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return {
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"target_schema": schema.to_dict(),
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"mapping_json": mapping,
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"sample_payload_hash": stable_payload_hash(payload.sample_payload),
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"redacted_sample_payload": redacted_sample,
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}
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@router.post("/mappings/preview")
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async def preview_datasource_mapping(
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payload: MappingPreviewRequest,
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current_user: User = Depends(get_current_user),
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):
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"""Preview deterministic mapping output for a sample payload."""
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try:
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preview = execute_mapping(
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payload.sample_payload,
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payload.mapping_json,
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payload.target_schema,
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limit=payload.limit,
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)
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except (MappingError, ValueError) as exc:
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raise HTTPException(status_code=400, detail=str(exc)) from exc
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return {
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"success": preview["failed_count"] == 0,
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"preview": preview,
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"sample_payload_hash": stable_payload_hash(payload.sample_payload),
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}
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@router.get("/mappings")
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async def list_datasource_mappings(
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datasource_config_id: Optional[int] = None,
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active_only: bool = False,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
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):
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"""List saved mapping templates."""
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query = select(DataSourceMappingTemplate).order_by(
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DataSourceMappingTemplate.datasource_config_id,
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DataSourceMappingTemplate.version.desc(),
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)
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if datasource_config_id is not None:
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query = query.where(DataSourceMappingTemplate.datasource_config_id == datasource_config_id)
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if active_only:
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query = query.where(DataSourceMappingTemplate.is_active.is_(True))
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result = await db.execute(query)
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mappings = result.scalars().all()
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return {"total": len(mappings), "data": [serialize_mapping_template(item) for item in mappings]}
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@router.post("/mappings")
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async def create_datasource_mapping(
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payload: MappingTemplateCreate,
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current_user: User = Depends(get_current_user),
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db: AsyncSession = Depends(get_db),
|
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):
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"""Save a mapping template for a datasource config."""
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get_target_schema(payload.target_schema)
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datasource = await db.get(DataSourceConfig, payload.datasource_config_id)
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if not datasource:
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raise HTTPException(status_code=404, detail="Configuration not found")
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if payload.sample_payload is not None:
|
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try:
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execute_mapping(payload.sample_payload, payload.mapping_json, payload.target_schema, limit=100)
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except (MappingError, ValueError) as exc:
|
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raise HTTPException(status_code=400, detail=f"Mapping validation failed: {exc}") from exc
|
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|
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result = await db.execute(
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select(func.max(DataSourceMappingTemplate.version)).where(
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DataSourceMappingTemplate.datasource_config_id == payload.datasource_config_id,
|
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DataSourceMappingTemplate.target_schema == payload.target_schema,
|
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)
|
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)
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next_version = int(result.scalar() or 0) + 1
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|
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if payload.is_active:
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await db.execute(
|
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DataSourceMappingTemplate.__table__.update()
|
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.where(DataSourceMappingTemplate.datasource_config_id == payload.datasource_config_id)
|
||||
.values(is_active=False)
|
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)
|
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|
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template = DataSourceMappingTemplate(
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datasource_config_id=payload.datasource_config_id,
|
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target_schema=payload.target_schema,
|
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mapping_json=payload.mapping_json,
|
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sample_payload_hash=payload.sample_payload_hash
|
||||
or (stable_payload_hash(payload.sample_payload) if payload.sample_payload is not None else None),
|
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validation_status=payload.validation_status,
|
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version=next_version,
|
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is_active=payload.is_active,
|
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)
|
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db.add(template)
|
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await db.commit()
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await db.refresh(template)
|
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return {"message": "Mapping template saved successfully", "data": serialize_mapping_template(template)}
|
||||
|
||||
|
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@router.put("/mappings/{mapping_id}")
|
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async def update_datasource_mapping(
|
||||
mapping_id: int,
|
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payload: MappingTemplateUpdate,
|
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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
|
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get_target_schema(target_schema)
|
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if payload.sample_payload is not None:
|
||||
try:
|
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execute_mapping(payload.sample_payload, mapping_json, target_schema, limit=100)
|
||||
except (MappingError, ValueError) as exc:
|
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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,
|
||||
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")
|
||||
|
||||
result = await db.execute(
|
||||
select(DataSourceMappingTemplate)
|
||||
.where(DataSourceMappingTemplate.datasource_config_id == config_id)
|
||||
.where(DataSourceMappingTemplate.is_active.is_(True))
|
||||
.order_by(DataSourceMappingTemplate.version.desc())
|
||||
.limit(1)
|
||||
)
|
||||
mapping = result.scalar_one_or_none()
|
||||
if not mapping:
|
||||
raise HTTPException(status_code=404, detail="No active mapping template found")
|
||||
|
||||
try:
|
||||
sample = await fetch_custom_sample_from_config(datasource, 5_000_000)
|
||||
mapped = execute_mapping(sample, mapping.mapping_json, mapping.target_schema)
|
||||
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 (MappingError, ValueError) as exc:
|
||||
raise HTTPException(status_code=400, detail=f"Mapping failed: {exc}") from exc
|
||||
|
||||
if mapped["failed_count"] > 0:
|
||||
return {
|
||||
"status": "failed",
|
||||
"datasource_config_id": config_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],
|
||||
}
|
||||
|
||||
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,
|
||||
)
|
||||
return {
|
||||
"status": "success",
|
||||
"datasource_config_id": config_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,
|
||||
}
|
||||
|
||||
@@ -9,6 +9,7 @@ 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
|
||||
@@ -35,6 +36,17 @@ 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 is_due_for_collection(datasource: DataSource, now: datetime) -> bool:
|
||||
if datasource.last_run_at is None:
|
||||
return True
|
||||
@@ -72,31 +84,6 @@ 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],
|
||||
@@ -123,21 +110,6 @@ 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(
|
||||
db: AsyncSession,
|
||||
sources: list[str],
|
||||
) -> dict[str, int]:
|
||||
if not sources:
|
||||
return {}
|
||||
|
||||
result = await db.execute(
|
||||
select(CollectedData.source, func.count(CollectedData.id))
|
||||
.where(CollectedData.source.in_(sources))
|
||||
.group_by(CollectedData.source)
|
||||
)
|
||||
return {source: count for source, count in result.all()}
|
||||
|
||||
|
||||
async def _load_datasource_endpoint_overrides(
|
||||
db: AsyncSession,
|
||||
sources: list[str],
|
||||
@@ -161,7 +133,7 @@ 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 +157,8 @@ 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
|
||||
|
||||
|
||||
async def get_datasource_record(db: AsyncSession, source_id: str) -> Optional[DataSource]:
|
||||
@@ -401,27 +371,19 @@ async def list_datasources(
|
||||
|
||||
collector_list = []
|
||||
config = get_data_sources_config()
|
||||
running_tasks, completed_tasks, data_counts, endpoint_overrides = await _load_datasource_list_context(
|
||||
db,
|
||||
datasources,
|
||||
)
|
||||
running_tasks, endpoint_overrides = await _load_datasource_list_context(db, datasources)
|
||||
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
|
||||
|
||||
collector_list.append(
|
||||
{
|
||||
"id": datasource.id,
|
||||
"source": datasource.source,
|
||||
"name": datasource.name,
|
||||
**datasource_metadata(datasource.source),
|
||||
"module": datasource.module,
|
||||
"priority": datasource.priority,
|
||||
"frequency": format_frequency_label(datasource.frequency_minutes),
|
||||
@@ -429,11 +391,9 @@ 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,
|
||||
@@ -576,6 +536,7 @@ 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),
|
||||
|
||||
@@ -9,10 +9,19 @@ from sqlalchemy.ext.asyncio import AsyncSession
|
||||
|
||||
from app.core.security import get_current_user
|
||||
from app.core.time import to_iso8601_utc
|
||||
from app.core.config import settings as app_settings
|
||||
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.datasource import DataSource
|
||||
from app.models.datasource_config import DataSourceConfig
|
||||
from app.models.system_setting import SystemSetting
|
||||
from app.models.user import User
|
||||
from app.services.llm_provider_catalog import (
|
||||
get_fallback_llm_provider_preset,
|
||||
list_fallback_llm_provider_presets,
|
||||
refresh_llm_provider_preset,
|
||||
)
|
||||
from app.services.scheduler import sync_datasource_job
|
||||
from app.services.tv_streams import DEFAULT_TV_SETTINGS, get_tv_settings_payload, normalize_tv_settings
|
||||
|
||||
@@ -39,6 +48,21 @@ DEFAULT_SETTINGS = {
|
||||
"password_policy": "medium",
|
||||
},
|
||||
"tv": DEFAULT_TV_SETTINGS,
|
||||
"external_integrations": {
|
||||
"ai_provider": {
|
||||
"service_url": "",
|
||||
"service_token": "",
|
||||
"provider": "minimax",
|
||||
"provider_api": "anthropic-messages",
|
||||
"base_url": "https://api.minimaxi.com/anthropic",
|
||||
"model": "MiniMax-M2.7",
|
||||
"api_key": "",
|
||||
"max_tokens": 1200,
|
||||
"anthropic_version": "2023-06-01",
|
||||
"timeout_seconds": 60,
|
||||
"retry_attempts": 2,
|
||||
}
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -96,6 +120,34 @@ class TVSettingsUpdate(BaseModel):
|
||||
sources: list[TVStreamSourceUpdate] = Field(default_factory=list)
|
||||
|
||||
|
||||
class AIProviderIntegrationUpdate(BaseModel):
|
||||
service_url: str = ""
|
||||
service_token: Optional[str] = None
|
||||
provider: str = Field(default="minimax", max_length=80)
|
||||
provider_api: str = Field(default="anthropic-messages", max_length=80)
|
||||
base_url: str = Field(default="", max_length=500)
|
||||
model: str = Field(default="", max_length=200)
|
||||
api_key: Optional[str] = None
|
||||
max_tokens: int = Field(default=1200, ge=1, le=200000)
|
||||
anthropic_version: str = Field(default="2023-06-01", max_length=40)
|
||||
timeout_seconds: int = Field(default=60, ge=5, le=600)
|
||||
retry_attempts: int = Field(default=2, ge=1, le=10)
|
||||
clear_service_token: bool = False
|
||||
clear_api_key: bool = False
|
||||
|
||||
|
||||
class BarentsWatchIntegrationUpdate(BaseModel):
|
||||
endpoint: str = ""
|
||||
client_id: str = ""
|
||||
client_secret: Optional[str] = None
|
||||
clear_client_secret: bool = False
|
||||
|
||||
|
||||
class ExternalIntegrationsUpdate(BaseModel):
|
||||
ai_provider: AIProviderIntegrationUpdate
|
||||
barentswatch: BarentsWatchIntegrationUpdate
|
||||
|
||||
|
||||
def merge_with_defaults(category: str, payload: Optional[dict]) -> dict:
|
||||
merged = deepcopy(DEFAULT_SETTINGS[category])
|
||||
if payload:
|
||||
@@ -146,6 +198,158 @@ async def save_setting_payload(db: AsyncSession, category: str, payload: dict) -
|
||||
return merge_with_defaults(category, record.payload)
|
||||
|
||||
|
||||
def _mask_secret(value: Optional[str]) -> dict:
|
||||
if not value:
|
||||
return {"configured": False, "preview": ""}
|
||||
text = str(value)
|
||||
if "-" in text:
|
||||
prefix = text.split("-", 1)[0] + "-"
|
||||
preview = prefix + ("*" * max(len(text) - len(prefix), 1))
|
||||
else:
|
||||
prefix_len = min(4, len(text))
|
||||
preview = text[:prefix_len] + ("*" * max(len(text) - prefix_len, 1))
|
||||
return {"configured": True, "preview": preview}
|
||||
|
||||
|
||||
async def get_runtime_ai_provider_config(db: AsyncSession) -> dict:
|
||||
runtime_record = await get_setting_record(db, "external_integrations")
|
||||
payload = merge_with_defaults(
|
||||
"external_integrations",
|
||||
runtime_record.payload if runtime_record else None,
|
||||
)
|
||||
ai_payload = payload.get("ai_provider") or {}
|
||||
has_runtime_llm_config = bool(
|
||||
runtime_record
|
||||
and isinstance(runtime_record.payload, dict)
|
||||
and isinstance(runtime_record.payload.get("ai_provider"), dict)
|
||||
)
|
||||
return {
|
||||
"service_url": ai_payload.get("service_url") or app_settings.AI_PROVIDER_SERVICE_URL,
|
||||
"service_token": ai_payload.get("service_token") or app_settings.AI_PROVIDER_SERVICE_TOKEN,
|
||||
"timeout_seconds": int(
|
||||
ai_payload.get("timeout_seconds") or app_settings.AI_PROVIDER_TIMEOUT_SECONDS
|
||||
),
|
||||
"retry_attempts": int(
|
||||
ai_payload.get("retry_attempts") or app_settings.AI_PROVIDER_RETRY_ATTEMPTS
|
||||
),
|
||||
"llm_config": {
|
||||
"provider": ai_payload.get("provider") or "minimax",
|
||||
"provider_api": ai_payload.get("provider_api") or "anthropic-messages",
|
||||
"base_url": ai_payload.get("base_url") or "https://api.minimaxi.com/anthropic",
|
||||
"model": ai_payload.get("model") or "MiniMax-M2.7",
|
||||
"api_key": ai_payload.get("api_key") or "",
|
||||
"max_tokens": int(ai_payload.get("max_tokens") or 1200),
|
||||
"anthropic_version": ai_payload.get("anthropic_version") or "2023-06-01",
|
||||
} if has_runtime_llm_config else {},
|
||||
}
|
||||
|
||||
|
||||
async def get_barentswatch_config_record(db: AsyncSession) -> Optional[DataSourceConfig]:
|
||||
result = await db.execute(
|
||||
select(DataSourceConfig)
|
||||
.where(DataSourceConfig.name == "barentswatch_vessels")
|
||||
.where(DataSourceConfig.is_active.is_(True))
|
||||
)
|
||||
return result.scalar_one_or_none()
|
||||
|
||||
|
||||
async def serialize_external_integrations(db: AsyncSession) -> dict:
|
||||
ai_config = await get_runtime_ai_provider_config(db)
|
||||
runtime_setting = await get_setting_record(db, "external_integrations")
|
||||
display_llm_config = ai_config["llm_config"] or DEFAULT_SETTINGS["external_integrations"]["ai_provider"]
|
||||
barentswatch_record = await get_barentswatch_config_record(db)
|
||||
yaml_config = get_data_sources_config()
|
||||
barentswatch_auth = barentswatch_record.auth_config if barentswatch_record else {}
|
||||
barentswatch_auth = barentswatch_auth or {}
|
||||
return {
|
||||
"ai_provider": {
|
||||
"service_url": ai_config["service_url"],
|
||||
"service_token": _mask_secret(ai_config["service_token"]),
|
||||
"provider": display_llm_config.get("provider") or "minimax",
|
||||
"provider_api": display_llm_config.get("provider_api") or "anthropic-messages",
|
||||
"base_url": display_llm_config.get("base_url") or "https://api.minimaxi.com/anthropic",
|
||||
"model": display_llm_config.get("model") or "MiniMax-M2.7",
|
||||
"api_key": _mask_secret(display_llm_config.get("api_key")),
|
||||
"max_tokens": int(display_llm_config.get("max_tokens") or 1200),
|
||||
"anthropic_version": display_llm_config.get("anthropic_version") or "2023-06-01",
|
||||
"timeout_seconds": ai_config["timeout_seconds"],
|
||||
"retry_attempts": ai_config["retry_attempts"],
|
||||
"source": "runtime" if runtime_setting else "env",
|
||||
},
|
||||
"barentswatch": {
|
||||
"endpoint": (
|
||||
barentswatch_record.endpoint
|
||||
if barentswatch_record and barentswatch_record.endpoint
|
||||
else yaml_config.get_yaml_url("barentswatch_vessels")
|
||||
),
|
||||
"client_id": barentswatch_auth.get("client_id") or "",
|
||||
"client_secret": _mask_secret(barentswatch_auth.get("client_secret")),
|
||||
"source": "datasource_config" if barentswatch_record else "default",
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
async def save_external_integrations_payload(
|
||||
db: AsyncSession,
|
||||
update: ExternalIntegrationsUpdate,
|
||||
) -> dict:
|
||||
current_payload = await get_setting_payload(db, "external_integrations")
|
||||
current_ai = current_payload.get("ai_provider") or {}
|
||||
ai_payload = {
|
||||
"service_url": update.ai_provider.service_url.strip()
|
||||
or app_settings.AI_PROVIDER_SERVICE_URL,
|
||||
"service_token": current_ai.get("service_token") or "",
|
||||
"provider": update.ai_provider.provider.strip() or "minimax",
|
||||
"provider_api": update.ai_provider.provider_api.strip() or "anthropic-messages",
|
||||
"base_url": update.ai_provider.base_url.strip(),
|
||||
"model": update.ai_provider.model.strip(),
|
||||
"api_key": current_ai.get("api_key") or "",
|
||||
"max_tokens": update.ai_provider.max_tokens,
|
||||
"anthropic_version": update.ai_provider.anthropic_version.strip() or "2023-06-01",
|
||||
"timeout_seconds": update.ai_provider.timeout_seconds,
|
||||
"retry_attempts": update.ai_provider.retry_attempts,
|
||||
}
|
||||
if update.ai_provider.clear_service_token:
|
||||
ai_payload["service_token"] = ""
|
||||
elif update.ai_provider.service_token not in (None, ""):
|
||||
ai_payload["service_token"] = update.ai_provider.service_token
|
||||
if update.ai_provider.clear_api_key:
|
||||
ai_payload["api_key"] = ""
|
||||
elif update.ai_provider.api_key not in (None, ""):
|
||||
ai_payload["api_key"] = update.ai_provider.api_key
|
||||
|
||||
await save_setting_payload(db, "external_integrations", {"ai_provider": ai_payload})
|
||||
|
||||
default_endpoint = get_data_sources_config().get_yaml_url("barentswatch_vessels")
|
||||
barentswatch_record = await get_barentswatch_config_record(db)
|
||||
if barentswatch_record is None:
|
||||
barentswatch_record = DataSourceConfig(
|
||||
name="barentswatch_vessels",
|
||||
description="BarentsWatch Live AIS credentials",
|
||||
source_type="api",
|
||||
endpoint=update.barentswatch.endpoint.strip() or default_endpoint,
|
||||
auth_type="oauth_client_credentials",
|
||||
auth_config={},
|
||||
headers={},
|
||||
config={},
|
||||
is_active=True,
|
||||
)
|
||||
db.add(barentswatch_record)
|
||||
|
||||
current_auth = dict(barentswatch_record.auth_config or {})
|
||||
if update.barentswatch.clear_client_secret:
|
||||
current_auth.pop("client_secret", None)
|
||||
elif update.barentswatch.client_secret not in (None, ""):
|
||||
current_auth["client_secret"] = update.barentswatch.client_secret
|
||||
current_auth["client_id"] = update.barentswatch.client_id.strip()
|
||||
barentswatch_record.endpoint = update.barentswatch.endpoint.strip() or default_endpoint
|
||||
barentswatch_record.auth_type = "oauth_client_credentials"
|
||||
barentswatch_record.auth_config = current_auth
|
||||
await db.commit()
|
||||
|
||||
return await serialize_external_integrations(db)
|
||||
|
||||
|
||||
def format_frequency_label(minutes: int) -> str:
|
||||
if minutes % 1440 == 0:
|
||||
return f"{minutes // 1440}d"
|
||||
@@ -155,9 +359,11 @@ def format_frequency_label(minutes: int) -> str:
|
||||
|
||||
|
||||
def serialize_collector(datasource: DataSource) -> dict:
|
||||
defaults = DEFAULT_DATASOURCES.get(datasource.source, {})
|
||||
return {
|
||||
"id": datasource.id,
|
||||
"name": datasource.name,
|
||||
"display_name": defaults.get("display_name") or datasource.name,
|
||||
"source": datasource.source,
|
||||
"module": datasource.module,
|
||||
"priority": datasource.priority,
|
||||
@@ -167,6 +373,10 @@ def serialize_collector(datasource: DataSource) -> dict:
|
||||
"last_run_at": to_iso8601_utc(datasource.last_run_at),
|
||||
"last_status": datasource.last_status,
|
||||
"next_run_at": to_iso8601_utc(datasource.next_run_at),
|
||||
"is_free": bool(defaults.get("is_free", True)),
|
||||
"requires_credentials": bool(defaults.get("requires_credentials", False)),
|
||||
"credential_provider": defaults.get("credential_provider"),
|
||||
"credential_status": defaults.get("credential_status", "none"),
|
||||
}
|
||||
|
||||
|
||||
@@ -243,6 +453,46 @@ async def update_tv_settings(
|
||||
return {"status": "updated", "tv": normalize_tv_settings(saved)}
|
||||
|
||||
|
||||
@router.get("/integrations")
|
||||
async def get_external_integrations(
|
||||
current_user: User = Depends(get_current_user),
|
||||
db: AsyncSession = Depends(get_db),
|
||||
):
|
||||
return {"integrations": await serialize_external_integrations(db)}
|
||||
|
||||
|
||||
@router.get("/integrations/ai-provider/presets")
|
||||
async def get_ai_provider_presets(
|
||||
current_user: User = Depends(get_current_user),
|
||||
):
|
||||
return {"data": list_fallback_llm_provider_presets()}
|
||||
|
||||
|
||||
@router.post("/integrations/ai-provider/presets/{provider}/refresh")
|
||||
async def refresh_ai_provider_preset(
|
||||
provider: str,
|
||||
current_user: User = Depends(get_current_user),
|
||||
):
|
||||
try:
|
||||
return {"data": await refresh_llm_provider_preset(provider)}
|
||||
except ValueError as exc:
|
||||
raise HTTPException(status_code=404, detail=str(exc)) from exc
|
||||
except Exception as exc:
|
||||
fallback = get_fallback_llm_provider_preset(provider)
|
||||
fallback["refresh_error"] = str(exc)
|
||||
return {"data": fallback}
|
||||
|
||||
|
||||
@router.put("/integrations")
|
||||
async def update_external_integrations(
|
||||
payload: ExternalIntegrationsUpdate,
|
||||
current_user: User = Depends(get_current_user),
|
||||
db: AsyncSession = Depends(get_db),
|
||||
):
|
||||
saved = await save_external_integrations_payload(db, payload)
|
||||
return {"status": "updated", "integrations": saved}
|
||||
|
||||
|
||||
@router.get("/collectors")
|
||||
async def get_collector_settings(
|
||||
current_user: User = Depends(get_current_user),
|
||||
@@ -289,6 +539,7 @@ async def get_all_settings(
|
||||
"notifications": setting_payloads["notifications"],
|
||||
"security": setting_payloads["security"],
|
||||
"tv": await get_tv_settings_payload(db),
|
||||
"integrations": await serialize_external_integrations(db),
|
||||
"collectors": [serialize_collector(datasource) for datasource in datasources],
|
||||
"generated_at": to_iso8601_utc(datetime.now(UTC)),
|
||||
}
|
||||
|
||||
@@ -4,7 +4,7 @@ Unified API for all visualization data sources.
|
||||
Returns GeoJSON format compatible with Three.js, CesiumJS, and Unreal Cesium.
|
||||
"""
|
||||
|
||||
from datetime import UTC, datetime
|
||||
from datetime import UTC, datetime, timedelta
|
||||
import math
|
||||
import httpx
|
||||
from fastapi import APIRouter, HTTPException, Depends, Query, Response
|
||||
@@ -20,6 +20,7 @@ from app.db.session import get_db
|
||||
from app.models.bgp_anomaly import BGPAnomaly
|
||||
from app.models.bgp_incident import BGPIncident
|
||||
from app.models.collected_data import CollectedData
|
||||
from app.models.vessel import VesselPosition, VesselStatic
|
||||
from app.services.bgp_collectors import build_bgp_collector_coverage
|
||||
from app.services.cable_graph import build_graph_from_data, CableGraph, haversine_distance
|
||||
from app.services.collectors.bgp_common import RIPE_RIS_COLLECTOR_COORDS
|
||||
@@ -511,7 +512,7 @@ def _normalize_capacity_band(capacity_value: Optional[float], capacity_unit: str
|
||||
if unit in {"pflop/s", "pflops", "pflop"}:
|
||||
normalized_tflops = capacity_value * 1000
|
||||
elif unit in {"gflop/s", "gflops", "gflop"}:
|
||||
normalized_tflops = capacity_value / 1000
|
||||
normalized_tflops = capacity_value
|
||||
else:
|
||||
normalized_tflops = capacity_value
|
||||
|
||||
@@ -609,6 +610,108 @@ def convert_compute_centers_to_geojson(records: List[CollectedData]) -> Dict[str
|
||||
return {"type": "FeatureCollection", "features": features}
|
||||
|
||||
|
||||
VESSEL_TYPE_FILTERS = {
|
||||
"cargo": lambda props: str(props.get("vessel_type_name", "")).lower() == "cargo"
|
||||
or 70 <= int(props.get("vessel_type") or -1) <= 79,
|
||||
"tanker": lambda props: str(props.get("vessel_type_name", "")).lower() == "tanker"
|
||||
or 80 <= int(props.get("vessel_type") or -1) <= 89,
|
||||
"passenger": lambda props: str(props.get("vessel_type_name", "")).lower() == "passenger"
|
||||
or 60 <= int(props.get("vessel_type") or -1) <= 69,
|
||||
"fishing": lambda props: str(props.get("vessel_type_name", "")).lower() == "fishing"
|
||||
or int(props.get("vessel_type") or -1) == 30,
|
||||
"military": lambda props: str(props.get("vessel_type_name", "")).lower() == "military"
|
||||
or int(props.get("vessel_type") or -1) == 35,
|
||||
"other": lambda props: str(props.get("vessel_type_name", "")).lower()
|
||||
not in {"cargo", "tanker", "passenger", "fishing", "military"},
|
||||
}
|
||||
|
||||
|
||||
def convert_vessels_to_geojson(rows: List[Any]) -> Dict[str, Any]:
|
||||
features = []
|
||||
for position, static in rows:
|
||||
if position.lat is None or position.lon is None:
|
||||
continue
|
||||
props = {
|
||||
"mmsi": position.mmsi,
|
||||
"name": getattr(static, "name", None) or f"MMSI {position.mmsi}",
|
||||
"callsign": getattr(static, "callsign", None),
|
||||
"imo": getattr(static, "imo", None),
|
||||
"vessel_type": getattr(static, "vessel_type", None),
|
||||
"vessel_type_name": getattr(static, "vessel_type_name", None) or "Other",
|
||||
"flag": getattr(static, "flag", None),
|
||||
"length": getattr(static, "length", None),
|
||||
"width": getattr(static, "width", None),
|
||||
"draught": getattr(static, "draught", None),
|
||||
"sog": position.sog,
|
||||
"cog": position.cog,
|
||||
"heading": position.heading,
|
||||
"nav_status": position.nav_status,
|
||||
"received_at": to_iso8601_utc(position.received_at),
|
||||
"data_type": "vessel",
|
||||
}
|
||||
features.append(
|
||||
{
|
||||
"type": "Feature",
|
||||
"id": position.mmsi,
|
||||
"geometry": {
|
||||
"type": "Point",
|
||||
"coordinates": [position.lon, position.lat],
|
||||
},
|
||||
"properties": props,
|
||||
}
|
||||
)
|
||||
|
||||
return {"type": "FeatureCollection", "features": features}
|
||||
|
||||
|
||||
def _parse_bbox(value: Optional[str]) -> tuple[float, float, float, float] | None:
|
||||
if not value:
|
||||
return None
|
||||
parts = [part.strip() for part in value.split(",")]
|
||||
if len(parts) != 4:
|
||||
raise HTTPException(status_code=400, detail="bbox must be lon_min,lat_min,lon_max,lat_max")
|
||||
try:
|
||||
lon_min, lat_min, lon_max, lat_max = [float(part) for part in parts]
|
||||
except ValueError as exc:
|
||||
raise HTTPException(status_code=400, detail="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
|
||||
return lon_min, lat_min, lon_max, lat_max
|
||||
|
||||
|
||||
def _matches_vessel_type(props: dict[str, Any], requested_types: set[str]) -> bool:
|
||||
if not requested_types:
|
||||
return True
|
||||
for requested_type in requested_types:
|
||||
predicate = VESSEL_TYPE_FILTERS.get(requested_type)
|
||||
if predicate and predicate(props):
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def _build_vessel_stats(features: List[dict[str, Any]]) -> dict[str, Any]:
|
||||
by_type: dict[str, int] = {}
|
||||
underway = 0
|
||||
anchored_or_moored = 0
|
||||
for feature in features:
|
||||
props = feature.get("properties", {})
|
||||
vessel_type = str(props.get("vessel_type_name") or "Other")
|
||||
by_type[vessel_type] = by_type.get(vessel_type, 0) + 1
|
||||
nav_status = props.get("nav_status")
|
||||
if nav_status in (1, 5):
|
||||
anchored_or_moored += 1
|
||||
else:
|
||||
underway += 1
|
||||
return {
|
||||
"total": len(features),
|
||||
"by_type": by_type,
|
||||
"underway": underway,
|
||||
"anchored_or_moored": anchored_or_moored,
|
||||
}
|
||||
|
||||
|
||||
def convert_bgp_anomalies_to_geojson(
|
||||
records: List[BGPAnomaly],
|
||||
geography_hints: Optional[Dict[str, Dict[str, Any]]] = None,
|
||||
@@ -1298,6 +1401,137 @@ async def get_compute_centers_geojson(
|
||||
}
|
||||
|
||||
|
||||
@router.get("/geo/vessels")
|
||||
async def get_vessels_geojson(
|
||||
bbox: Optional[str] = Query(
|
||||
None,
|
||||
description="Viewport bbox as lon_min,lat_min,lon_max,lat_max",
|
||||
),
|
||||
type: Optional[str] = Query(
|
||||
None,
|
||||
description="Comma-separated vessel types: cargo,tanker,passenger,fishing,military,other",
|
||||
),
|
||||
limit: int = Query(5000, ge=1, le=50000),
|
||||
db: AsyncSession = Depends(get_db),
|
||||
):
|
||||
"""Return latest vessel positions as GeoJSON points."""
|
||||
latest_times = (
|
||||
select(
|
||||
VesselPosition.mmsi.label("mmsi"),
|
||||
func.max(VesselPosition.received_at).label("received_at"),
|
||||
)
|
||||
.group_by(VesselPosition.mmsi)
|
||||
.subquery()
|
||||
)
|
||||
stmt = (
|
||||
select(VesselPosition, VesselStatic)
|
||||
.join(
|
||||
latest_times,
|
||||
(VesselPosition.mmsi == latest_times.c.mmsi)
|
||||
& (VesselPosition.received_at == latest_times.c.received_at),
|
||||
)
|
||||
.outerjoin(VesselStatic, VesselStatic.mmsi == VesselPosition.mmsi)
|
||||
.order_by(VesselPosition.received_at.desc())
|
||||
.limit(limit)
|
||||
)
|
||||
|
||||
parsed_bbox = _parse_bbox(bbox)
|
||||
if parsed_bbox is not None:
|
||||
lon_min, lat_min, lon_max, lat_max = parsed_bbox
|
||||
stmt = stmt.where(
|
||||
VesselPosition.lon >= lon_min,
|
||||
VesselPosition.lon <= lon_max,
|
||||
VesselPosition.lat >= lat_min,
|
||||
VesselPosition.lat <= lat_max,
|
||||
)
|
||||
|
||||
result = await db.execute(stmt)
|
||||
rows = list(result.all())
|
||||
geojson = convert_vessels_to_geojson(rows)
|
||||
requested_types = {
|
||||
item.strip().lower()
|
||||
for item in (type or "").split(",")
|
||||
if item.strip()
|
||||
}
|
||||
if requested_types:
|
||||
geojson["features"] = [
|
||||
feature
|
||||
for feature in geojson.get("features", [])
|
||||
if _matches_vessel_type(feature.get("properties", {}), requested_types)
|
||||
]
|
||||
|
||||
features = geojson.get("features", [])
|
||||
return {
|
||||
**geojson,
|
||||
"count": len(features),
|
||||
"stats": _build_vessel_stats(features),
|
||||
}
|
||||
|
||||
|
||||
@router.get("/vessels/{mmsi}")
|
||||
async def get_vessel_detail(mmsi: int, db: AsyncSession = Depends(get_db)):
|
||||
latest_position_stmt = (
|
||||
select(VesselPosition)
|
||||
.where(VesselPosition.mmsi == mmsi)
|
||||
.order_by(VesselPosition.received_at.desc())
|
||||
.limit(1)
|
||||
)
|
||||
static = await db.get(VesselStatic, mmsi)
|
||||
result = await db.execute(latest_position_stmt)
|
||||
position = result.scalar_one_or_none()
|
||||
if position is None:
|
||||
raise HTTPException(status_code=404, detail="Vessel not found")
|
||||
geojson = convert_vessels_to_geojson([(position, static)])
|
||||
return {
|
||||
**(geojson["features"][0]["properties"]),
|
||||
"latitude": position.lat,
|
||||
"longitude": position.lon,
|
||||
}
|
||||
|
||||
|
||||
@router.get("/vessels/{mmsi}/track")
|
||||
async def get_vessel_track(
|
||||
mmsi: int,
|
||||
hours: int = Query(6, ge=1, le=24),
|
||||
db: AsyncSession = Depends(get_db),
|
||||
):
|
||||
cutoff = datetime.now(UTC) - timedelta(hours=hours)
|
||||
result = await db.execute(
|
||||
select(VesselPosition)
|
||||
.where(VesselPosition.mmsi == mmsi)
|
||||
.where(VesselPosition.received_at >= cutoff)
|
||||
.order_by(VesselPosition.received_at.asc())
|
||||
)
|
||||
positions = list(result.scalars().all())
|
||||
if not positions:
|
||||
return {
|
||||
"type": "FeatureCollection",
|
||||
"features": [],
|
||||
"count": 0,
|
||||
}
|
||||
|
||||
return {
|
||||
"type": "FeatureCollection",
|
||||
"features": [
|
||||
{
|
||||
"type": "Feature",
|
||||
"geometry": {
|
||||
"type": "LineString",
|
||||
"coordinates": [[position.lon, position.lat] for position in positions],
|
||||
},
|
||||
"properties": {
|
||||
"mmsi": mmsi,
|
||||
"hours": hours,
|
||||
"point_count": len(positions),
|
||||
"start_at": to_iso8601_utc(positions[0].received_at),
|
||||
"end_at": to_iso8601_utc(positions[-1].received_at),
|
||||
},
|
||||
}
|
||||
],
|
||||
"count": 1,
|
||||
}
|
||||
|
||||
|
||||
@router.get("/geo/bgp-anomalies")
|
||||
async def get_bgp_anomalies_geojson(
|
||||
severity: Optional[str] = Query(None),
|
||||
@@ -1394,6 +1628,10 @@ async def get_visualization_geo_summary(db: AsyncSession = Depends(get_db)):
|
||||
db,
|
||||
source_filter=("ris_live_bgp", "bgpstream_bgp"),
|
||||
)
|
||||
vessel_count_result = await db.execute(
|
||||
select(func.count(func.distinct(VesselPosition.mmsi))),
|
||||
)
|
||||
vessel_count = int(vessel_count_result.scalar() or 0)
|
||||
|
||||
return {
|
||||
"generated_at": to_iso8601_utc(datetime.now(UTC)),
|
||||
@@ -1402,6 +1640,7 @@ async def get_visualization_geo_summary(db: AsyncSession = Depends(get_db)):
|
||||
"landing_point_count": len(landing_points.get("features", [])),
|
||||
"satellite_count": len(satellites.get("features", [])),
|
||||
"compute_center_count": len(compute_features),
|
||||
"vessel_count": vessel_count,
|
||||
"supercomputer_count": sum(
|
||||
1 for feature in compute_features
|
||||
if feature.get("properties", {}).get("site_type") == "supercomputer"
|
||||
|
||||
Reference in New Issue
Block a user