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from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from backend.utils import generate_completions
from backend import config
from backend.database import get_db_connection
import psycopg2
from psycopg2.extras import RealDictCursor
app = FastAPI()
# Dependency to get database connection
async def get_db():
conn = await get_db_connection()
try:
yield conn
finally:
conn.close()
class GenerationRequest(BaseModel):
user_id: int
query: str
class MetadataRequest(BaseModel):
query: str
@app.get("/")
async def root():
return {"message": "Welcome to the AI Learning Assistant API!"}
@app.post("/extract/metadata")
async def extract_metadata(data: MetadataRequest):
try:
response = await generate_completions.get_completions(
data.query,
config.language_metadata_extraction_prompt
)
return JSONResponse(
content={
"data": response,
"type": "language_metadata",
"status": "success"
},
status_code=200
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@app.post("/generate/flashcards")
async def generate_flashcards(data: GenerationRequest):
try:
response = await generate_completions.get_completions(
data.query,
config.flashcard_mode_instructions
)
return JSONResponse(
content={
"data": response,
"type": "flashcards",
"status": "success"
},
status_code=200
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@app.post("/generate/exercises")
async def generate_exercises(data: GenerationRequest):
try:
response = await generate_completions.get_completions(
data.query,
config.exercise_mode_instructions
)
# adjust the response similar to generate_flashcards
return JSONResponse(
content={
"data": response,
"type": "exercises",
"status": "success"
},
status_code=200
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@app.post("/generate/simulation")
async def generate_simulation(data: GenerationRequest):
try:
response = await generate_completions.get_completions(
data.query,
config.simulation_mode_instructions
)
# adjust the response similar to generate_flashcards
return JSONResponse(
content={
"data": response,
"type": "simulation",
"status": "success"
},
status_code=200
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) |