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66a23bc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | import os
import time
import logging
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from pipeline import NLPPipeline
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
app = FastAPI(
title="ReqGen NLP Service",
description="NLP inference service for requirements extraction",
version="1.0.0",
)
# ── Load pipeline once at startup ──────────────────────────────────────────
MODEL_NAME = os.getenv("HF_MODEL_NAME", "deepset/deberta-v3-base-squad2")
logger.info(f"Loading NLP pipeline with model: {MODEL_NAME}")
nlp_pipeline = NLPPipeline(model_name=MODEL_NAME)
logger.info("NLP pipeline ready")
# ── Schemas ────────────────────────────────────────────────────────────────
class NLPRequest(BaseModel):
text: str
domain_context: str | None = None
class NLPResponse(BaseModel):
text: str
model_used: str
tokens: list[str]
named_entities: list[dict]
dependency_parse: list[dict]
actors: list[str]
goals: list[str]
constraints: list[str]
requirement_type: str
requirement_type_confidence: float
extracted_requirements: list[dict]
processing_time_ms: int
# ── Routes ─────────────────────────────────────────────────────────────────
@app.get("/")
def root():
return {
"service": "ReqGen NLP",
"model": MODEL_NAME,
"status": "running"
}
@app.get("/health")
def health():
return {"status": "ok", "model": MODEL_NAME}
@app.post("/process", response_model=NLPResponse)
def process_text(payload: NLPRequest):
if not payload.text.strip():
raise HTTPException(status_code=400, detail="Text cannot be empty")
start = time.time()
try:
result = nlp_pipeline.process(payload.text, payload.domain_context)
except Exception as e:
logger.error(f"Pipeline error: {e}")
raise HTTPException(status_code=500, detail=f"NLP processing failed: {str(e)}")
result["processing_time_ms"] = int((time.time() - start) * 1000)
return result
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