curo1305
73 lines
1.9 KiB
Python
73 lines
1.9 KiB
Python
from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel
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from services import storage, classifier
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router = APIRouter(prefix="/api/topics", tags=["topics"])
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class TopicCreate(BaseModel):
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name: str
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description: str = ""
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color: str = "#6366f1"
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class TopicUpdate(BaseModel):
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name: str | None = None
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description: str | None = None
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color: str | None = None
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class SuggestRequest(BaseModel):
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document_id: str
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@router.get("")
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async def list_topics():
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topics = storage.load_topics()
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counts = storage.topic_doc_counts()
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for t in topics:
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t["doc_count"] = counts.get(t["name"], 0)
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return {"topics": topics}
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@router.post("")
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async def create_topic(body: TopicCreate):
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topic = storage.create_topic(body.name, body.description, body.color)
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topic["doc_count"] = 0
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return topic
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@router.patch("/{topic_id}")
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async def update_topic(topic_id: str, body: TopicUpdate):
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topic = storage.update_topic(
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topic_id,
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name=body.name,
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description=body.description,
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color=body.color,
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)
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if topic is None:
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raise HTTPException(404, "Topic not found")
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counts = storage.topic_doc_counts()
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topic["doc_count"] = counts.get(topic["name"], 0)
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return topic
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@router.delete("/{topic_id}")
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async def delete_topic(topic_id: str):
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name = storage.delete_topic(topic_id)
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if name is None:
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raise HTTPException(404, "Topic not found")
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return {"success": True, "removed_from_documents": True}
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@router.post("/suggest")
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async def suggest_topics(body: SuggestRequest):
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meta = storage.get_metadata(body.document_id)
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if meta is None:
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raise HTTPException(404, "Document not found")
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try:
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suggestions = await classifier.suggest_topics_for_document(body.document_id)
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except Exception as e:
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raise HTTPException(500, f"Suggestion failed: {e}")
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return {"suggested": suggestions}
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