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API endpoints for chat and milestone tracking functionality.
"""
from flask import Blueprint, request, jsonify, current_app
from flask_login import login_required, current_user
from web_app.models import db, UserLearningPath, MilestoneProgress, LearningProgress
from src.data.document_store import DocumentStore
from datetime import datetime
api_bp = Blueprint('api', __name__, url_prefix='/api')
@api_bp.route('/save-path', methods=['POST'])
@login_required
def save_path_json():
"""
Save or update a learning path for the current user.
Expects JSON: { path: <LearningPath dict> }
Returns: { success, path_id }
"""
try:
payload = request.get_json(silent=True) or {}
path_data = payload.get('path') or {}
if not path_data or not isinstance(path_data, dict):
return jsonify({'success': False, 'message': 'Invalid payload'}), 400
path_id = path_data.get('id')
if not path_id:
import uuid as _uuid
path_id = str(_uuid.uuid4())
path_data['id'] = path_id
# Upsert user path
user_path = UserLearningPath.query.filter_by(
id=path_id,
user_id=current_user.id
).first()
if user_path:
user_path.path_data_json = path_data
user_path.title = path_data.get('title', 'Untitled Path')
user_path.topic = path_data.get('topic', 'General')
else:
user_path = UserLearningPath(
id=path_id,
user_id=current_user.id,
path_data_json=path_data,
title=path_data.get('title', 'Untitled Path'),
topic=path_data.get('topic', 'General')
)
db.session.add(user_path)
db.session.commit()
# Ensure progress rows exist
try:
milestones = path_data.get('milestones', [])
for i, _ in enumerate(milestones):
exists = LearningProgress.query.filter_by(
user_learning_path_id=path_id,
milestone_identifier=str(i)
).first()
if not exists:
db.session.add(LearningProgress(
user_learning_path_id=path_id,
milestone_identifier=str(i),
status='not_started'
))
db.session.commit()
except Exception as _e:
current_app.logger.warning(
f"Failed to seed LearningProgress rows: {_e}")
db.session.rollback()
return jsonify({'success': True, 'path_id': path_id}), 200
except Exception as e:
current_app.logger.error(f"Error saving path: {str(e)}")
db.session.rollback()
return jsonify({'success': False, 'message': 'Failed to save path'}), 500
@api_bp.route('/paths', methods=['GET'])
@login_required
def get_all_paths():
"""
Get all learning paths for the current user.
Returns: { paths: [...] }
"""
try:
user_paths = UserLearningPath.query.filter_by(
user_id=current_user.id).all()
paths = []
for up in user_paths:
path_data = up.path_data_json or {}
path_data['id'] = up.id
path_data['title'] = up.title
path_data['topic'] = up.topic
path_data['created_at'] = up.created_at.isoformat(
) if up.created_at else None
paths.append(path_data)
return jsonify({'paths': paths}), 200
except Exception as e:
current_app.logger.error(f"Error getting paths: {str(e)}")
return jsonify({'paths': [], 'error': str(e)}), 500
@api_bp.route('/paths/<path_id>', methods=['GET'])
@login_required
def get_path_by_id(path_id):
"""
Get a specific learning path by ID.
Returns: Learning path data
"""
try:
user_path = UserLearningPath.query.filter_by(
id=path_id,
user_id=current_user.id
).first()
if not user_path:
return jsonify({'error': 'Learning path not found'}), 404
path_data = user_path.path_data_json or {}
path_data['id'] = user_path.id
path_data['title'] = user_path.title
path_data['topic'] = user_path.topic
path_data['created_at'] = user_path.created_at.isoformat(
) if user_path.created_at else None
return jsonify(path_data), 200
except Exception as e:
current_app.logger.error(f"Error getting path: {str(e)}")
return jsonify({'error': str(e)}), 500
@api_bp.route('/paths/<path_id>', methods=['DELETE'])
@login_required
def delete_path(path_id):
"""
Delete a learning path by ID.
Returns: { success: boolean }
"""
try:
user_path = UserLearningPath.query.filter_by(
id=path_id,
user_id=current_user.id
).first()
if not user_path:
return jsonify({'success': False, 'error': 'Learning path not found'}), 404
db.session.delete(user_path)
db.session.commit()
return jsonify({'success': True}), 200
except Exception as e:
current_app.logger.error(f"Error deleting path: {str(e)}")
db.session.rollback()
return jsonify({'success': False, 'error': str(e)}), 500
@api_bp.route('/paths/<path_id>/milestone', methods=['POST'])
@login_required
def update_milestone_status(path_id):
"""
Update milestone completion status for a learning path.
Expects JSON: { milestone_index: number, completed: boolean }
"""
try:
data = request.get_json()
milestone_index = data.get('milestone_index')
completed = data.get('completed', False)
if milestone_index is None:
return jsonify({'success': False, 'error': 'milestone_index is required'}), 400
user_path = UserLearningPath.query.filter_by(
id=path_id,
user_id=current_user.id
).first()
if not user_path:
return jsonify({'success': False, 'error': 'Learning path not found'}), 404
# Find or create progress entry
progress = LearningProgress.query.filter_by(
user_learning_path_id=path_id,
milestone_identifier=str(milestone_index)
).first()
if not progress:
progress = LearningProgress(
user_learning_path_id=path_id,
milestone_identifier=str(milestone_index),
status='completed' if completed else 'not_started'
)
db.session.add(progress)
else:
progress.status = 'completed' if completed else 'not_started'
db.session.commit()
return jsonify({'success': True}), 200
except Exception as e:
current_app.logger.error(f"Error updating milestone: {str(e)}")
db.session.rollback()
return jsonify({'success': False, 'error': str(e)}), 500
@api_bp.route('/track-milestone', methods=['POST'])
@login_required
def track_milestone():
"""
Track milestone completion status.
Expects JSON: {path_id, milestone_index, completed}
"""
try:
data = request.get_json()
path_id = data.get('path_id')
milestone_index = data.get('milestone_index')
completed = data.get('completed', False)
if not path_id or milestone_index is None:
return jsonify({'success': False, 'message': 'Missing required fields'}), 400
# Verify the path belongs to the user
user_path = UserLearningPath.query.filter_by(
id=path_id,
user_id=current_user.id
).first()
if not user_path:
return jsonify({'success': False, 'message': 'Learning path not found or access denied'}), 404
# Find or create milestone progress entry
progress = MilestoneProgress.query.filter_by(
user_id=current_user.id,
learning_path_id=path_id,
milestone_index=milestone_index
).first()
if not progress:
progress = MilestoneProgress(
user_id=current_user.id,
learning_path_id=path_id,
milestone_index=milestone_index,
completed=completed
)
db.session.add(progress)
else:
progress.completed = completed
progress.completed_at = datetime.utcnow() if completed else None
db.session.commit()
return jsonify({
'success': True,
'message': 'Milestone status updated successfully'
}), 200
except Exception as e:
current_app.logger.error(f"Error tracking milestone: {str(e)}")
db.session.rollback()
return jsonify({'success': False, 'message': 'Failed to update milestone status'}), 500
@api_bp.route('/ask', methods=['POST'])
@login_required
def ask_question():
"""
Chat endpoint for asking questions about the learning path.
Uses advanced RAG search to provide contextual answers.
Expects JSON: {question, path_id}
"""
try:
data = request.get_json()
question = data.get('question', '').strip()
path_id = data.get('path_id')
if not question:
return jsonify({
'success': False,
'message': 'Question cannot be empty'
}), 400
if not path_id:
return jsonify({
'success': False,
'message': 'Path ID is required'
}), 400
# Verify the path belongs to the user
user_path = UserLearningPath.query.filter_by(
id=path_id,
user_id=current_user.id
).first()
if not user_path:
return jsonify({
'success': False,
'message': 'Learning path not found or access denied'
}), 404
# Get the learning path data
path_data = user_path.path_data_json
topic = path_data.get('topic', 'this topic')
# Use DocumentStore's advanced RAG search
document_store = DocumentStore()
# Search for relevant documents
relevant_docs = document_store.advanced_rag_search(
query=f"{topic}: {question}",
collection_name="learning_resources",
top_k=3,
use_cache=True
)
# Build context from retrieved documents
context = "\n\n".join(
[doc.page_content for doc in relevant_docs]) if relevant_docs else ""
# Generate answer using the model orchestrator
from src.ml.model_orchestrator import ModelOrchestrator
orchestrator = ModelOrchestrator()
orchestrator.init_language_model()
prompt = f"""You are a helpful AI tutor for a learning path about {topic}.
User's question: {question}
Context from learning resources:
{context}
Please provide a clear, concise, and helpful answer to the user's question. Focus on being educational and encouraging. If the context doesn't contain relevant information, use your general knowledge about {topic} to provide a helpful response.
Answer:"""
answer = orchestrator.generate_response(
prompt=prompt,
use_cache=False,
temperature=0.7
)
return jsonify({
'success': True,
'data': {
'answer': answer.strip(),
'sources_count': len(relevant_docs)
}
}), 200
except Exception as e:
current_app.logger.error(f"Error processing question: {str(e)}")
import traceback
traceback.print_exc()
return jsonify({
'success': False,
'message': 'An error occurred while processing your question'
}), 500
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