from fastapi import FastAPI, HTTPException
from services.sms_service import predict_label, compute_cosine_similarity, compute_embeddings
from schemas.input_schemas import CosineSimilarityInput, MessageInput, EmbeddingInput

app = FastAPI()

# 🚀 1️⃣ Homepage Endpoint
@app.get("/")
async def home():
    return {"message": "Welcome to SMS Classification API"}

# 🔢 2️⃣ Cosine Similarity Endpoint
@app.post("/cosine_similarity")
async def get_cosine_similarity(input_data: CosineSimilarityInput):
    try:
        return await compute_cosine_similarity(input_data.text1, input_data.text2)
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Error computing similarity: {str(e)}")

# 📩 3️⃣ SMS Classification Endpoint
@app.post("/predict_label")
async def classify_message(input_data: MessageInput):
    try:
        return await predict_label(input_data.message)
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Error predicting label: {str(e)}")

# 📊 4️⃣ Text Embedding Endpoint
@app.post("/compute_embeddings")
async def get_embeddings(input_data: EmbeddingInput):
    try:
        return await compute_embeddings(input_data.message)
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Error computing embeddings: {str(e)}")