Anton_wireframe/app/main.py

import io

import pandas as pd
from db.db import Base, db_dependency, engine
from dotenv import load_dotenv
from fastapi import FastAPI, File, Form, UploadFile
from pydantic import BaseModel
from routers import companies, investors, projects
from schemas.router_schemas import InvestorList
from services.llm_parser import InvestorProcessor
from services.querying import QueryProcessor

load_dotenv()


def init_database():
    """Initialize the database by creating all tables"""
    Base.metadata.create_all(bind=engine)


init_database()

app = FastAPI()


# Request models
class QueryRequest(BaseModel):
    question: str

    class Config:
        json_schema_extra = {
            "example": {
                "question": "Find me deep tech investors that do deals in Europe under 5 million."
            }
        }


@app.get("/")
def health():
    return {"Hello": "World"}


@app.post("/parse-csv", tags=["CSV Upload"], response_model=list[dict])
async def parse_csv(
    db: db_dependency, file: UploadFile = File(...), is_investor: int = Form(...)
):
    # Read uploaded CSV with pandas
    content = await file.read()
    df = pd.read_csv(io.StringIO(content.decode("utf-8")))

    # Process the dataframe
    processor = InvestorProcessor()

    if is_investor == 1:
        results = await processor.parse_investors(df)
    else:
        results = await processor.parse_companies(df)

    # Convert Pydantic objects to dictionaries
    return [r.model_dump() for r in results]


@app.post("/query", response_model=InvestorList, tags=["Querying"])
async def query_investors(request: QueryRequest):
    """
    Query investors using natural language.

    Supports queries like:
    - "Show me seed stage investors"
    - "Find fintech investors in Silicon Valley"
    - "Growth stage investors with $5M+ check sizes"
    - "Healthcare investors in Europe"
    """
    processor = QueryProcessor()
    results = processor.process_query(request.question)
    return results


app.include_router(investors.router)
app.include_router(companies.router)
app.include_router(projects.router)

if __name__ == "__main__":
    import uvicorn

    uvicorn.run(app="main:app", host="0.0.0.0", port=8585, reload=True)