mirror of
https://github.com/tiennm99/DocsGPT.git
synced 2026-10-05 14:14:39 +00:00
Alex
574f96341e
The backend import package is now docsgpt, the name it will carry on PyPI; application was far too generic to install into anyone's site-packages. git mv plus a mechanical rewrite of every import, dotted string and path reference: 734 Python files, the compose files, Dockerfile, workflows, docs, setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage config, .gitignore. Behaviour is unchanged. Kept for one release: - A top-level application package whose meta-path finder resolves application.x.y to the already-imported docsgpt.x.y object, so old imports and entry points (celery -A application.app.celery, uvicorn application.asgi:asgi_app) keep working with a FutureWarning. - Celery registers every application.* task name as an alias of its docsgpt.* task on start-up, so messages queued by the previous release still run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries the previous release wrote are left unread instead of firing twice. The backend image builds from the repository root (docker build -f docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore allow-lists docsgpt/ and application/ and keeps caches, local data, .env files, the sample index files and the Dockerfile out. Compose and the image workflows point at the new context.
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
import logging
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from flask import make_response, request
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from flask_restx import fields, Resource
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from docsgpt.api.answer.routes.base import answer_ns
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from docsgpt.services.search_service import (
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InvalidAPIKey,
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SearchFailed,
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search,
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)
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logger = logging.getLogger(__name__)
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@answer_ns.route("/api/search")
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class SearchResource(Resource):
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"""Fast search endpoint for retrieving relevant documents."""
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search_model = answer_ns.model(
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"SearchModel",
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{
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"question": fields.String(
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required=True, description="Search query"
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),
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"api_key": fields.String(
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required=True, description="API key for authentication"
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),
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"chunks": fields.Integer(
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required=False, default=5, description="Number of results to return"
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),
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},
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)
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@answer_ns.expect(search_model)
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@answer_ns.doc(description="Search for relevant documents based on query")
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def post(self):
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data = request.get_json() or {}
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question = data.get("question")
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api_key = data.get("api_key")
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chunks = data.get("chunks", 5)
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if not question:
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return make_response({"error": "question is required"}, 400)
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if not api_key:
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return make_response({"error": "api_key is required"}, 400)
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try:
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return make_response(search(api_key, question, chunks), 200)
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except InvalidAPIKey:
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return make_response({"error": "Invalid API key"}, 401)
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except SearchFailed:
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logger.exception("/api/search failed")
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return make_response({"error": "Search failed"}, 500)
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