from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware

from .database import engine, Base
from . import models

from .routes import data
from .routes import preprocessing
from .routes import prediction
from .routes import dashboard
from .routes import tfidf


# =========================================================
# MEMBUAT TABEL DATABASE
# =========================================================

Base.metadata.create_all(bind=engine)


# =========================================================
# MEMBUAT APLIKASI FASTAPI
# =========================================================

app = FastAPI(
    title="S-Learn Sentiment Analysis API",
    description="Backend sistem analisis sentimen S-Learn",
    version="1.0.0"
)


# =========================================================
# CORS
# =========================================================

app.add_middleware(
    CORSMiddleware,
    allow_origins=[
        "http://localhost:3000",
        "http://localhost:3001"
    ],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)


# =========================================================
# ROUTER
# =========================================================

app.include_router(data.router)
app.include_router(preprocessing.router)
app.include_router(prediction.router)
app.include_router(dashboard.router)
app.include_router(tfidf.router)


# =========================================================
# ROOT
# =========================================================

@app.get("/")
def root():
    return {
        "message": "S-Learn Sentiment Analysis API berhasil dijalankan"
    }