77 lines
2.1 KiB
Python
77 lines
2.1 KiB
Python
from fastapi import Depends, FastAPI, HTTPException
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from sqlalchemy.orm import Session
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from . import crud, models, schemas
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from .db import SessionLocal, engine
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models.Base.metadata.create_all(bind=engine)
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app = FastAPI()
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def get_db():
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close()
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@app.get("/users/{user_id}/sessions", response_model=list[schemas.Session])
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def get_sessions(user_id: str, db: Session = Depends(get_db)):
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return crud.get_sessions(db, user_id)
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@app.post("/users/{user_id}/sessions", response_model=schemas.Session)
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def create_session(
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user_id: str, session: schemas.SessionCreate, db: Session = Depends(get_db)
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):
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return crud.create_session(db, user_id, session)
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@app.get("/users/{user_id}/sessions/{session_id}", response_model=schemas.Session)
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def get_session(user_id: str, session_id: int, db: Session = Depends(get_db)):
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db_session = crud.get_session(db, session_id)
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if db_session is None:
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raise HTTPException(status_code=404, detail="Session not found")
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return db_session
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@app.post(
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"/users/{user_id}/sessions/{session_id}/messages/", response_model=schemas.Message
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)
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def create_message_for_session(
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user_id: str,
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session_id: int,
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message: schemas.MessageCreate,
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db: Session = Depends(get_db),
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):
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return crud.create_message(db, message, session_id)
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@app.get(
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"/users/{user_id}/sessions/{session_id}/messages/{message_id}/metacognitions/",
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response_model=list[schemas.Metacognitions],
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)
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def get_metacognitions_for_message(
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user_id: str,
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session_id: int,
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message_id: int,
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db: Session = Depends(get_db),
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):
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return crud.get_metacognitions(db, message_id)
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@app.post(
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"/users/{user_id}/sessions/{session_id}/messages/{message_id}/metacognitions/",
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response_model=schemas.Metacognitions,
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)
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def create_metacognition_for_message(
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user_id: str,
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session_id: int,
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message_id: int,
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metacognition: schemas.MetacognitionsCreate,
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db: Session = Depends(get_db),
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):
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return crud.create_metacognition(db, metacognition, message_id)
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