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| from fastapi import FastAPI | |
| from pydantic import BaseModel | |
| from typing import List | |
| from core.preprocess import preprocess_text_list | |
| from core.analyzer import analyze_feedback | |
| from utils.counter import aggregate_results | |
| # ✅ NEW import (moved from severity_service) | |
| from utils.severity_classifier import classify_issues, InputPayload | |
| app = FastAPI(title="Batch Sentiment + Severity Classifier") | |
| class FeedbackBatch(BaseModel): | |
| texts: List[str] | |
| def analyze_batch_endpoint(batch: FeedbackBatch): | |
| cleaned_texts = preprocess_text_list(batch.texts) | |
| results = [analyze_feedback(text) for text in cleaned_texts if analyze_feedback(text)] | |
| summary = aggregate_results(results) | |
| return summary | |
| def classify_severity_endpoint(payload: InputPayload): | |
| return classify_issues(payload) | |