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import os
import uuid
import json
from flask import Blueprint, request, jsonify, url_for
from flask_login import login_required, current_user
from backend.models.database import db, Job, Application
from backend.services.interview_engine import (
generate_first_question,
edge_tts_to_file_sync,
whisper_stt,
evaluate_answer
)
interview_api = Blueprint("interview_api", __name__)
@interview_api.route("/start_interview", methods=["POST"])
@login_required
def start_interview():
data = request.get_json()
job_id = data.get("job_id")
job = Job.query.get_or_404(job_id)
application = Application.query.filter_by(
user_id=current_user.id,
job_id=job_id
).first()
if not application or not application.extracted_features:
return jsonify({"error": "No application/profile data found."}), 400
try:
profile = json.loads(application.extracted_features)
except:
return jsonify({"error": "Invalid profile JSON"}), 500
question = generate_first_question(profile, job)
# Create static/audio directory if it doesn't exist
audio_dir = os.path.join("static", "audio")
os.makedirs(audio_dir, exist_ok=True)
audio_filename = f"q_{uuid.uuid4().hex}.wav"
audio_path = os.path.join(audio_dir, audio_filename)
# Generate audio
edge_tts_to_file_sync(question, audio_path)
return jsonify({
"question": question,
"audio_url": url_for("static", filename=f"audio/{audio_filename}")
})
@interview_api.route("/transcribe_audio", methods=["POST"])
@login_required
def transcribe_audio():
audio_file = request.files.get("audio")
if not audio_file:
return jsonify({"error": "No audio file received."}), 400
# Create temp directory if it doesn't exist
temp_dir = "temp"
os.makedirs(temp_dir, exist_ok=True)
filename = f"user_audio_{uuid.uuid4().hex}.wav"
path = os.path.join(temp_dir, filename)
audio_file.save(path)
transcript = whisper_stt(path)
# Clean up
try:
os.remove(path)
except:
pass
return jsonify({"transcript": transcript})
@interview_api.route("/process_answer", methods=["POST"])
@login_required
def process_answer():
data = request.get_json()
answer = data.get("answer", "")
question_idx = data.get("questionIndex", 0)
# Generate next question (simplified for now)
next_question = f"Follow-up question {question_idx + 2}: Can you elaborate on your experience with relevant technologies?"
# Create audio for next question
audio_dir = os.path.join("static", "audio")
os.makedirs(audio_dir, exist_ok=True)
audio_filename = f"q_{uuid.uuid4().hex}.wav"
audio_path = os.path.join(audio_dir, audio_filename)
edge_tts_to_file_sync(next_question, audio_path)
return jsonify({
"success": True,
"nextQuestion": next_question,
"audioUrl": url_for("static", filename=f"audio/{audio_filename}"),
"evaluation": {
"score": "medium",
"feedback": "Good answer, but be more specific."
},
"isComplete": question_idx >= 2,
"summary": []
}) |