BBPlease / src /user_analytics.py
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Relaunch deploy: RF v5 (72.6%), voc2vec fallback, telemetry removed, secrets docs removed
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"""
User Analytics Management
Tracks user registrations, analytics events, and predictions for admin dashboard
"""
import os
import json
from datetime import datetime
from typing import Dict, List, Optional
from collections import defaultdict
class UserAnalytics:
"""Manage user analytics data storage and retrieval"""
def __init__(self, data_dir: str = '../data'):
self.data_dir = os.path.abspath(data_dir)
os.makedirs(self.data_dir, exist_ok=True)
self.users_file = os.path.join(self.data_dir, 'users.json')
self.analytics_file = os.path.join(self.data_dir, 'analytics.json')
self.predictions_file = os.path.join(self.data_dir, 'predictions.json')
# Initialize files if they don't exist
self._init_files()
def _init_files(self):
"""Initialize JSON files with empty structures"""
if not os.path.exists(self.users_file):
self._save_file(self.users_file, {
'users': [],
'last_updated': None
})
if not os.path.exists(self.analytics_file):
self._save_file(self.analytics_file, {
'events': [],
'last_updated': None
})
if not os.path.exists(self.predictions_file):
self._save_file(self.predictions_file, {
'predictions': [],
'last_updated': None
})
def _load_file(self, filepath: str) -> Dict:
"""Load JSON file"""
try:
if os.path.exists(filepath):
with open(filepath, 'r', encoding='utf-8') as f:
return json.load(f)
except Exception as e:
print(f"Error loading {filepath}: {e}")
return {}
def _save_file(self, filepath: str, data: Dict):
"""Save JSON file"""
try:
data['last_updated'] = datetime.now().isoformat()
with open(filepath, 'w', encoding='utf-8') as f:
json.dump(data, f, indent=2, ensure_ascii=False)
except Exception as e:
print(f"Error saving {filepath}: {e}")
def register_user(self, user_data: Dict) -> str:
"""Register a new user"""
data = self._load_file(self.users_file)
users = data.get('users', [])
# Add registration timestamp if not present
if 'registration_date' not in user_data:
user_data['registration_date'] = datetime.now().isoformat()
# Add to users list
users.append(user_data)
data['users'] = users
self._save_file(self.users_file, data)
return user_data.get('user_id', 'unknown')
def track_event(self, event_name: str, event_data: Dict):
"""Track an analytics event"""
data = self._load_file(self.analytics_file)
events = data.get('events', [])
event = {
'name': event_name,
'timestamp': datetime.now().isoformat(),
'data': event_data
}
events.append(event)
# Keep only last 1000 events to prevent file from growing too large
if len(events) > 1000:
events = events[-1000:]
data['events'] = events
self._save_file(self.analytics_file, data)
def track_prediction(self, prediction_data: Dict):
"""Track a prediction"""
data = self._load_file(self.predictions_file)
predictions = data.get('predictions', [])
# Add timestamp if not present
if 'timestamp' not in prediction_data:
prediction_data['timestamp'] = datetime.now().isoformat()
predictions.append(prediction_data)
# Keep only last 1000 predictions
if len(predictions) > 1000:
predictions = predictions[-1000:]
data['predictions'] = predictions
self._save_file(self.predictions_file, data)
def get_user_stats(self) -> Dict:
"""Get user statistics"""
data = self._load_file(self.users_file)
users = data.get('users', [])
if not users:
return {
'total_users': 0,
'active_users_7d': 0,
'active_users_30d': 0,
'new_users_7d': 0,
'new_users_30d': 0
}
now = datetime.now()
active_7d = []
active_30d = []
new_7d = []
new_30d = []
for user in users:
reg_date_str = user.get('registration_date', '')
if reg_date_str:
try:
reg_date = datetime.fromisoformat(reg_date_str.replace('Z', '+00:00'))
days_ago = (now - reg_date.replace(tzinfo=None)).days
if days_ago <= 30:
active_30d.append(user.get('user_id'))
if days_ago <= 7:
active_7d.append(user.get('user_id'))
new_7d.append(user.get('user_id'))
elif days_ago <= 30:
new_30d.append(user.get('user_id'))
except:
pass
return {
'total_users': len(users),
'active_users_7d': len(set(active_7d)),
'active_users_30d': len(set(active_30d)),
'new_users_7d': len(new_7d),
'new_users_30d': len(new_30d) + len(new_7d)
}
def get_platform_distribution(self) -> Dict:
"""Get platform distribution"""
data = self._load_file(self.users_file)
users = data.get('users', [])
platforms = defaultdict(int)
for user in users:
platform = user.get('platform', 'unknown')
platforms[platform] += 1
return dict(platforms)
def get_language_distribution(self) -> Dict:
"""Get language distribution"""
data = self._load_file(self.users_file)
users = data.get('users', [])
languages = defaultdict(int)
for user in users:
language = user.get('language', 'unknown')
languages[language] += 1
return dict(languages)
def get_user_timeline(self, days: int = 30) -> List[Dict]:
"""Get user registration timeline"""
data = self._load_file(self.users_file)
users = data.get('users', [])
now = datetime.now()
timeline = defaultdict(int)
for user in users:
reg_date_str = user.get('registration_date', '')
if reg_date_str:
try:
reg_date = datetime.fromisoformat(reg_date_str.replace('Z', '+00:00'))
days_ago = (now - reg_date.replace(tzinfo=None)).days
if days_ago <= days:
date_str = reg_date.strftime('%Y-%m-%d')
timeline[date_str] += 1
except:
pass
# Convert to list of dicts sorted by date
result = [{'date': date, 'count': count}
for date, count in sorted(timeline.items())]
return result
def get_recent_users(self, limit: int = 10) -> List[Dict]:
"""Get recent user registrations"""
data = self._load_file(self.users_file)
users = data.get('users', [])
# Sort by registration date (most recent first)
sorted_users = sorted(users,
key=lambda x: x.get('registration_date', ''),
reverse=True)
return sorted_users[:limit]