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from flask import Flask, jsonify, request, render_template, redirect, url_for
import os
# Import the RAG system class
from rag_system import StudentApiRAG
import logging # Import logging module
# --- Configure logging ---
# It's generally good practice to configure logging early
logging.basicConfig(level=logging.INFO) # Adjust level as needed (DEBUG, INFO, WARNING, ERROR)
logger = logging.getLogger(__name__) # Create a logger for this module
# --- Initialize Flask App ---
app = Flask(__name__,
static_folder='static', # Directory for CSS/JS files
template_folder='templates') # Directory for HTML files
# Ensure static and templates directories exist
os.makedirs('static', exist_ok=True)
os.makedirs('templates', exist_ok=True)
# --- Initialize the RAG System ---
# This is the crucial part: create the instance and attach it to the app object
# Make sure the GOOGLE_API_KEY environment variable is set
try:
app.rag_system = StudentApiRAG() # <-- This line is key
logger.info("RAG System initialized successfully.")
except Exception as e:
logger.error(f"Failed to initialize RAG System: {e}")
# Depending on your needs, you might want to exit here or disable related features
app.rag_system = None # Or handle the error appropriately
# --- Define Routes ---
@app.route('/')
def home():
return redirect(url_for('test_frontend'))
@app.route('/test') # Assuming this is your frontend route
def test_frontend():
return render_template('final.html') # Make sure index.html exists in templates/
# --- Example route for students (adjust as needed) ---
import json
import os
@app.route('/api/students', methods=['GET'])
def get_students_list():
enrollment_no = request.args.get('enrollment_no') # Optional query param
# Path to your JSON file
json_path = os.path.join(os.path.dirname(__file__), 'final_cleaned_student_data.json')
if not os.path.exists(json_path):
logger.error("Student data file not found.")
return jsonify({'error': 'Student data file not found.'}), 404
try:
with open(json_path, 'r', encoding='utf-8') as f:
all_students = json.load(f)
if enrollment_no:
# Return specific student if enrollment_no is provided
student = all_students.get(enrollment_no)
if not student:
logger.warning(f"Student with enrollment {enrollment_no} not found.")
return jsonify({'error': 'Student not found.'}), 404
return jsonify(student)
else:
# Return all students (values only, not keys)
print(all_students.values())
return jsonify(list(all_students.values()))
except Exception as e:
logger.error(f"Error reading student data: {e}", exc_info=True)
return jsonify({'error': 'Failed to load student data.'}), 500
@app.route('/favicon.ico')
def favicon():
return '', 204
# --- Job Analysis Route (Corrected) ---
@app.route('/api/job-analysis', methods=['POST'])
def analyze_job_application_route():
"""Endpoint for job application analysis"""
# Check if RAG system was initialized successfully
if not app.rag_system:
logger.error("RAG System not initialized. Cannot perform job analysis.")
return jsonify({
'success': False,
'error': 'Internal server error: Analysis system not available.'
}), 500
try:
data = request.get_json()
if not data:
logger.warning("No JSON data received in job analysis request.")
return jsonify({
'success': False,
'error': 'Invalid request: No JSON data provided.'
}), 400
job_application_link = data.get('job_application_link')
job_description = data.get('job_description')
# Get the enrollment number from the request data
enrollment_no = data.get('enrollment_no')
# Use job_description if link is not provided
job_input = job_application_link or job_description
if not job_input or not enrollment_no:
logger.warning("Missing 'job_application_link'/'job_description' or 'enrollment_no' in job analysis request data.")
return jsonify({
'success': False,
'error': 'Job application link/description and enrollment number are required.'
}), 400
logger.info(f"Initiating job application analysis for input: {job_input[:50]}... and student: {enrollment_no}")
# Call the analyze_job_application method on the RAG system instance with both arguments
result = app.rag_system.analyze_job_application(job_input, enrollment_no)
if result.get("error"):
logger.warning(f"Job analysis reported an error: {result['error']}")
return jsonify({
'success': False,
'error': result["error"]
}), 400 # Or maybe 500 if it's an internal processing error?
logger.info("Job application analysis completed successfully.")
return jsonify({
'success': True,
'data': result
})
except Exception as e:
# Now 'logger' is defined and can be used
logger.error(f"Error in job analysis route: {e}", exc_info=True) # exc_info=True adds traceback
return jsonify({
'success': False,
'error': 'Failed to analyze job application due to an internal server error.'
}), 500
# Add this route to your app_copy.py
# Import ChatManager
from chat_manager import ChatManager
# Initialize Chat Manager
try:
app.chat_manager = ChatManager()
logger.info("Chat Manager initialized successfully.")
except Exception as e:
logger.error(f"Failed to initialize Chat Manager: {e}")
app.chat_manager = None
@app.route('/api/ask', methods=['POST'])
def ask_question():
"""Endpoint for asking questions to the RAG system with persistence."""
if not app.rag_system:
logger.error("RAG System not initialized. Cannot answer question.")
return jsonify({
'success': False,
'error': 'Internal server error: Question answering system not available.'
}), 500
try:
data = request.get_json()
if not data:
return jsonify({'success': False, 'error': 'Invalid request: No JSON data provided.'}), 400
enrollment_no = data.get('enrollment_no')
question = data.get('question')
session_id = data.get('session_id') # Optional session ID
if not enrollment_no or not question:
return jsonify({'success': False, 'error': 'Enrollment number and question are required.'}), 400
# 1. Handle Session & User Message
if app.chat_manager:
if not session_id:
# Create new session if none provided
session = app.chat_manager.create_session(enrollment_no, question)
session_id = session['id']
logger.info(f"Created new chat session {session_id} for {enrollment_no}")
# Save User Message
app.chat_manager.add_message(enrollment_no, session_id, 'user', question)
# 2. Get Answer from RAG
logger.info(f"Answering question for enrollment {enrollment_no}: {question}")
answer = app.rag_system.answer_question(question, enrollment_no)
# 3. Save AI Response
if app.chat_manager and session_id:
app.chat_manager.add_message(enrollment_no, session_id, 'ai', answer)
logger.info("Question answered successfully.")
return jsonify({
'success': True,
'answer': answer,
'session_id': session_id
})
except Exception as e:
logger.error(f"Error in question answering route: {e}", exc_info=True)
return jsonify({
'success': False,
'error': 'Failed to answer question due to an internal server error.'
}), 500
@app.route('/api/chat/history/<enrollment_no>', methods=['GET'])
def get_chat_history(enrollment_no):
"""Endpoint to get chat history for a student."""
if not app.chat_manager:
return jsonify({'error': 'Chat system not available'}), 500
try:
history = app.chat_manager.get_student_history(enrollment_no)
return jsonify(history)
except Exception as e:
logger.error(f"Error fetching chat history: {e}")
return jsonify({'error': 'Failed to fetch chat history'}), 500
# --- Route for getting student-specific dashboard metrics ---
@app.route('/api/dashboard/metrics/<enrollment_no>', methods=['GET'])
def get_student_dashboard_metrics(enrollment_no: str):
"""Endpoint for getting detailed dashboard metrics for a specific student."""
if not app.rag_system:
logger.error("RAG System not initialized. Cannot get dashboard metrics.")
return jsonify({'error': 'Internal server error: Dashboard system not available.'}), 500
try:
logger.info(f"Fetching dashboard metrics for enrollment: {enrollment_no}")
# Call the new get_student_dashboard_metrics method on the RAG system instance
metrics_data = app.rag_system.get_student_dashboard_metrics(enrollment_no)
if metrics_data.get("error"):
logger.warning(f"Dashboard metrics error for {enrollment_no}: {metrics_data['error']}")
return jsonify(metrics_data), 404 # Or appropriate error code
return jsonify(metrics_data)
except Exception as e:
logger.error(f"Error fetching dashboard metrics for {enrollment_no}: {e}", exc_info=True)
return jsonify({'error': 'Failed to fetch dashboard metrics.'}), 500
# --- Other routes (e.g., /api/report/<enrollment_no>, /api/ask, etc.) ---
# Make sure to use app.rag_system.<method_name>() for calling RAG methods
# Example placeholder for report generation:
# Import ReportManager and ResumeManager
from report_manager import ReportManager
from resume_manager import ResumeManager
# Initialize Report Manager
try:
app.report_manager = ReportManager()
logger.info("Report Manager initialized successfully.")
except Exception as e:
logger.error(f"Failed to initialize Report Manager: {e}")
app.report_manager = None
# Initialize Resume Manager
try:
app.resume_manager = ResumeManager()
logger.info("Resume Manager initialized successfully.")
except Exception as e:
logger.error(f"Failed to initialize Resume Manager: {e}")
app.resume_manager = None
# ... (existing routes) ...
@app.route('/api/report/<enrollment_no>', methods=['GET'])
def get_student_report(enrollment_no: str):
if not app.rag_system:
logger.error("RAG System not initialized. Cannot generate report.")
return jsonify({'error': 'Internal server error: Report system not available.'}), 500
try:
logger.info(f"Generating report for enrollment: {enrollment_no}")
report_data = app.rag_system.generate_structured_report(enrollment_no)
if report_data.get("error"):
logger.warning(f"Report generation error for {enrollment_no}: {report_data['error']}")
return jsonify(report_data), 500
# Save the generated report
if app.report_manager:
try:
app.report_manager.save_report(enrollment_no, report_data)
logger.info(f"Report saved for {enrollment_no}")
except Exception as e:
logger.error(f"Failed to save report: {e}")
return jsonify(report_data)
except Exception as e:
logger.error(f"Error generating report for {enrollment_no}: {e}",exc_info=True)
return jsonify({'error': 'Failed to generate report.'}), 500
@app.route('/api/reports/history/<enrollment_no>', methods=['GET'])
def get_report_history(enrollment_no):
"""Endpoint to get report history for a student."""
if not app.report_manager:
return jsonify({'error': 'Report system not available'}), 500
try:
history = app.report_manager.get_student_reports(enrollment_no)
return jsonify(history)
except Exception as e:
logger.error(f"Error fetching report history: {e}")
return jsonify({'error': 'Failed to fetch report history'}), 500
@app.route('/api/report/load/<enrollment_no>/<report_id>', methods=['GET'])
def load_saved_report(enrollment_no, report_id):
"""Endpoint to load a specific saved report."""
if not app.report_manager:
return jsonify({'error': 'Report system not available'}), 500
try:
report = app.report_manager.get_report(enrollment_no, report_id)
if report:
return jsonify(report['data'])
return jsonify({'error': 'Report not found'}), 404
except Exception as e:
logger.error(f"Error loading saved report: {e}")
return jsonify({'error': 'Failed to load report'}), 500
@app.route('/api/resume/generate', methods=['POST'])
def generate_resume():
"""Endpoint to generate a tailored resume."""
if not app.rag_system:
return jsonify({'error': 'RAG system not available'}), 500
try:
data = request.json
enrollment_no = data.get('enrollment_no')
job_description = data.get('job_description')
company = data.get('company', 'Unknown Company')
role = data.get('role', 'Unknown Role')
if not enrollment_no or not job_description:
return jsonify({'error': 'Missing enrollment_no or job_description'}), 400
logger.info(f"Generating tailored resume for {enrollment_no} at {company}")
resume_content = app.rag_system.generate_tailored_resume(enrollment_no, job_description)
if resume_content.startswith("Error"):
return jsonify({'error': resume_content}), 500
# Save the generated resume
if app.resume_manager:
try:
app.resume_manager.save_resume(enrollment_no, role, company, resume_content)
logger.info(f"Resume saved for {enrollment_no}")
except Exception as e:
logger.error(f"Failed to save resume: {e}")
return jsonify({'success': True, 'resume': resume_content})
except Exception as e:
logger.error(f"Error generating resume: {e}", exc_info=True)
return jsonify({'error': 'Failed to generate resume'}), 500
@app.route('/api/resume/history/<enrollment_no>', methods=['GET'])
def get_resume_history(enrollment_no):
"""Endpoint to get resume history for a student."""
if not app.resume_manager:
return jsonify({'error': 'Resume system not available'}), 500
try:
history = app.resume_manager.get_student_resumes(enrollment_no)
return jsonify(history)
except Exception as e:
logger.error(f"Error fetching resume history: {e}")
return jsonify({'error': 'Failed to fetch resume history'}), 500
@app.route('/api/dashboard/students', methods=['GET'])
def get_dashboard_students():
"""Endpoint to get aggregated student data for the dashboard."""
if not app.rag_system:
return jsonify({'error': 'RAG system not available'}), 500
try:
# 1. Get base student summaries
students = app.rag_system.get_all_students_summary()
total_cgpa = 0
valid_cgpa_count = 0
# 2. Augment with Report and Resume data
for student in students:
enrollment_no = student['enrollment_no']
# Report Status
report_status = 'Pending'
if app.report_manager:
reports = app.report_manager.get_student_reports(enrollment_no)
if reports:
report_status = 'Generated'
student['report_status'] = report_status
# Resume Count
resume_count = 0
if app.resume_manager:
resumes = app.resume_manager.get_student_resumes(enrollment_no)
resume_count = len(resumes)
student['resume_count'] = resume_count
# CGPA Calculation
try:
cgpa = float(student['cgpa'])
total_cgpa += cgpa
valid_cgpa_count += 1
except (ValueError, TypeError):
pass
# 3. Calculate Class Statistics
class_average = 0
if valid_cgpa_count > 0:
class_average = round(total_cgpa / valid_cgpa_count, 2)
return jsonify({
'total_students': len(students),
'class_average_cgpa': class_average,
'students': students
})
except Exception as e:
logger.error(f"Error fetching dashboard data: {e}", exc_info=True)
return jsonify({'error': 'Failed to fetch dashboard data'}), 500
if __name__ == '__main__':
# Run the app
app.run(host='0.0.0.0', port=5000, debug=True) # Adjust host/port/debug as needed |