ff6ea41ac3
- Support LLM_PROVIDER env var to override default provider (openai/gpt-4o-mini) - Add optional 'provider' parameter to API endpoints for per-request overrides - Implement provider validation to ensure API keys exist - Update documentation and examples with new configuration options Closes the need to hardcode providers in config.yml
102 lines
2.8 KiB
Python
102 lines
2.8 KiB
Python
"""
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Job endpoints (enqueue + poll) for long-running LLM extraction and raw crawl.
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Relies on the existing Redis task helpers in api.py
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"""
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from typing import Dict, Optional, Callable
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from fastapi import APIRouter, BackgroundTasks, Depends, Request
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from pydantic import BaseModel, HttpUrl
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from api import (
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handle_llm_request,
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handle_crawl_job,
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handle_task_status,
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)
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# ------------- dependency placeholders -------------
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_redis = None # will be injected from server.py
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_config = None
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_token_dep: Callable = lambda: None # dummy until injected
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# public router
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router = APIRouter()
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# === init hook called by server.py =========================================
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def init_job_router(redis, config, token_dep) -> APIRouter:
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"""Inject shared singletons and return the router for mounting."""
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global _redis, _config, _token_dep
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_redis, _config, _token_dep = redis, config, token_dep
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return router
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# ---------- payload models --------------------------------------------------
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class LlmJobPayload(BaseModel):
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url: HttpUrl
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q: str
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schema: Optional[str] = None
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cache: bool = False
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provider: Optional[str] = None
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class CrawlJobPayload(BaseModel):
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urls: list[HttpUrl]
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browser_config: Dict = {}
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crawler_config: Dict = {}
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# ---------- LLM job ---------------------------------------------------------
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@router.post("/llm/job", status_code=202)
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async def llm_job_enqueue(
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payload: LlmJobPayload,
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background_tasks: BackgroundTasks,
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request: Request,
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_td: Dict = Depends(lambda: _token_dep()), # late-bound dep
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):
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return await handle_llm_request(
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_redis,
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background_tasks,
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request,
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str(payload.url),
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query=payload.q,
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schema=payload.schema,
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cache=payload.cache,
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config=_config,
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provider=payload.provider,
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)
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@router.get("/llm/job/{task_id}")
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async def llm_job_status(
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request: Request,
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task_id: str,
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_td: Dict = Depends(lambda: _token_dep())
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):
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return await handle_task_status(_redis, task_id)
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# ---------- CRAWL job -------------------------------------------------------
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@router.post("/crawl/job", status_code=202)
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async def crawl_job_enqueue(
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payload: CrawlJobPayload,
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background_tasks: BackgroundTasks,
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_td: Dict = Depends(lambda: _token_dep()),
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):
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return await handle_crawl_job(
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_redis,
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background_tasks,
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[str(u) for u in payload.urls],
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payload.browser_config,
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payload.crawler_config,
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config=_config,
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)
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@router.get("/crawl/job/{task_id}")
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async def crawl_job_status(
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request: Request,
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task_id: str,
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_td: Dict = Depends(lambda: _token_dep())
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):
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return await handle_task_status(_redis, task_id, base_url=str(request.base_url))
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