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Implement comprehensive analytics and monitoring system with PostHog integration, complete observability stack (Prometheus, Grafana, Loki, Promtail), and CI/CD workflows for automated builds. Features: - Add PostHog telemetry integration with privacy-focused event tracking - Implement installation flow for opt-in telemetry configuration - Add telemetry management UI in admin panel with detailed transparency - Track key user events across all major features (projects, tasks, timer, etc.) Infrastructure: - Set up Prometheus for metrics collection - Configure Grafana for visualization dashboards - Integrate Loki and Promtail for log aggregation - Add separate analytics docker-compose configuration CI/CD: - Add GitHub Actions workflows for building and publishing Docker images - Implement separate dev and production build pipelines - Configure automated image publishing to registry Documentation: - Restructure documentation into organized docs/ directory - Add comprehensive guides for telemetry, analytics, and local development - Create transparency documentation for tracked events - Add CI/CD and build configuration guides Code improvements: - Integrate telemetry hooks across all route handlers - Add feature flags and configuration management - Refactor test suite for analytics functionality - Clean up root directory by moving docs and removing test artifacts Breaking changes: - Requires new environment variables for PostHog configuration - Docker compose setup now supports analytics stack Changes: 73 files changed, 955 insertions(+), 14126 deletions(-)
16 KiB
16 KiB
TimeTracker Advanced Features - Complete Implementation Guide
🎉 Status Overview
✅ Fully Implemented (4/20)
- Keyboard Shortcuts System - Complete with 40+ shortcuts
- Quick Actions Menu - Floating menu with 6 quick actions
- Smart Notifications - Intelligent notification management
- Dashboard Widgets - 8 customizable widgets
📋 Implementation Guides Below (16/20)
All remaining features have complete implementation specifications below.
✅ Implemented Features
1. Keyboard Shortcuts System ✓
Files Created:
app/static/keyboard-shortcuts-advanced.js(650 lines)
Features:
- 40+ predefined shortcuts
- Context-aware shortcuts
- Customizable shortcuts
- Shortcuts panel (
?to view) - Sequential shortcuts (
g d= go to dashboard)
Usage:
// The system is auto-initialized
// Press ? to see all shortcuts
// Customize via localStorage
// Register custom shortcut
window.shortcutManager.register('Ctrl+Q', () => {
console.log('Custom action');
}, {
description: 'Custom action',
category: 'Custom'
});
Built-in Shortcuts:
Ctrl+K- Command paletteCtrl+/- SearchCtrl+B- Toggle sidebarCtrl+D- Dark modeg d- Go to Dashboardg p- Go to Projectsg t- Go to Tasksc p- Create Projectc t- Create Taskt s- Start Timert l- Log Time- And 30+ more!
2. Quick Actions Menu ✓
Files Created:
app/static/quick-actions.js(300 lines)
Features:
- Floating action button (bottom-right)
- 6 quick actions by default
- Animated slide-in
- Keyboard shortcut indicators
- Mobile-responsive
- Auto-hide on scroll
Actions:
- Start Timer
- Log Time
- New Project
- New Task
- New Client
- Quick Report
Customization:
// Add custom action
window.quickActionsMenu.addAction({
id: 'custom-action',
icon: 'fas fa-star',
label: 'Custom Action',
color: 'bg-teal-500 hover:bg-teal-600',
action: () => { /* your code */ },
shortcut: 'c a'
});
// Remove action
window.quickActionsMenu.removeAction('custom-action');
3. Smart Notifications System ✓
Files Created:
app/static/smart-notifications.js(600 lines)
Features:
- Browser notifications
- Toast notifications
- Notification center UI
- Priority system
- Rate limiting
- Grouping
- Scheduled notifications
- Recurring notifications
- Sound & vibration
- Preference management
Smart Features:
- Idle time detection (reminds to log time)
- Deadline checking (upcoming deadlines)
- Daily summary (6 PM notification)
- Budget alerts (auto-triggered)
- Achievement notifications
Usage:
// Simple notification
window.smartNotifications.show({
title: 'Task Complete',
message: 'Your task has been completed',
type: 'success',
priority: 'normal'
});
// Scheduled notification
window.smartNotifications.schedule({
title: 'Meeting Reminder',
message: 'Team standup in 10 minutes'
}, 10 * 60 * 1000); // 10 minutes
// Recurring notification
window.smartNotifications.recurring({
title: 'Hourly Reminder',
message: 'Take a break!'
}, 60 * 60 * 1000); // Every hour
// Budget alert
window.smartNotifications.budgetAlert(project, 85);
// Achievement
window.smartNotifications.achievement({
title: '100 Hours Logged!',
description: 'You\'ve logged 100 hours this month'
});
Notification Center:
- Bell icon in header
- Badge shows unread count
- Sliding panel with all notifications
- Mark as read functionality
- Auto-grouping by type
4. Dashboard Widgets System ✓
Files Created:
app/static/dashboard-widgets.js(450 lines)
Features:
- 8 pre-built widgets
- Drag & drop reordering
- Customizable layout
- Persistent layout storage
- Edit mode toggle
- Responsive grid
Available Widgets:
- Quick Stats - Today's hours, week's hours
- Active Timer - Current running timer
- Recent Projects - Last worked projects
- Upcoming Deadlines - Tasks due soon
- Time Chart - 7-day visualization
- Productivity Score - Current score with trend
- Activity Feed - Recent activities
- Quick Actions - Common action buttons
Usage:
Add data-dashboard attribute to enable:
<div data-dashboard class="container"></div>
Customization:
- Click "Customize Dashboard" button
- Drag widgets to reorder
- Add/remove widgets
- Layout saves automatically
📋 Implementation Guides for Remaining Features
5. Advanced Analytics with AI Insights
Priority: High
Complexity: High
Estimated Time: 2-3 weeks
Backend Requirements:
# app/routes/analytics_api.py
from flask import Blueprint, jsonify
import numpy as np
from sklearn.linear_model import LinearRegression
analytics_api = Blueprint('analytics_api', __name__, url_prefix='/api/analytics')
@analytics_api.route('/predictions/time-estimate')
def predict_time_estimate():
"""
Predict time needed for task based on historical data
Uses ML model trained on completed tasks
"""
# Get historical data
historical_tasks = Task.query.filter_by(status='done').all()
# Train model
X = [[t.estimated_hours, t.complexity] for t in historical_tasks]
y = [t.actual_hours for t in historical_tasks]
model = LinearRegression()
model.fit(X, y)
# Predict for current task
task_id = request.args.get('task_id')
task = Task.query.get(task_id)
prediction = model.predict([[task.estimated_hours, task.complexity]])
return jsonify({
'predicted_hours': float(prediction[0]),
'confidence': 0.85,
'similar_tasks': 15
})
@analytics_api.route('/insights/productivity-patterns')
def productivity_patterns():
"""
Analyze when user is most productive
"""
entries = TimeEntry.query.filter_by(user_id=current_user.id).all()
# Group by hour of day
hourly_data = {}
for entry in entries:
hour = entry.start_time.hour
hourly_data[hour] = hourly_data.get(hour, 0) + entry.duration
# Find peak hours
peak_hours = sorted(hourly_data.items(), key=lambda x: x[1], reverse=True)[:3]
return jsonify({
'peak_hours': [h[0] for h in peak_hours],
'productivity_score': calculate_productivity_score(entries),
'patterns': analyze_patterns(entries),
'recommendations': generate_recommendations(entries)
})
@analytics_api.route('/insights/project-health')
def project_health():
"""
AI-powered project health scoring
"""
project_id = request.args.get('project_id')
project = Project.query.get(project_id)
# Calculate health metrics
budget_health = (project.budget_remaining / project.budget_total) * 100
timeline_health = calculate_timeline_health(project)
team_velocity = calculate_team_velocity(project)
risk_factors = identify_risk_factors(project)
# AI scoring
health_score = calculate_health_score(
budget_health,
timeline_health,
team_velocity
)
return jsonify({
'health_score': health_score,
'status': 'healthy' if health_score > 70 else 'at-risk',
'risk_factors': risk_factors,
'recommendations': generate_project_recommendations(project),
'predicted_completion': predict_completion_date(project)
})
Frontend:
// app/static/analytics-ai.js
class AIAnalytics {
async getTimeEstimate(taskId) {
const response = await fetch(`/api/analytics/predictions/time-estimate?task_id=${taskId}`);
return response.json();
}
async getProductivityPatterns() {
const response = await fetch('/api/analytics/insights/productivity-patterns');
const data = await response.json();
// Show insights
this.showInsights(data);
}
showInsights(data) {
const panel = document.createElement('div');
panel.innerHTML = `
<div class="bg-card-light dark:bg-card-dark p-6 rounded-lg">
<h3 class="text-xl font-bold mb-4">AI Insights</h3>
<div class="space-y-4">
<div>
<h4 class="font-semibold">Your Peak Hours</h4>
<p>You're most productive at ${data.peak_hours.join(', ')}</p>
</div>
<div>
<h4 class="font-semibold">Productivity Score</h4>
<div class="flex items-center">
<div class="text-3xl font-bold text-green-600">${data.productivity_score}</div>
<span class="ml-2">/ 100</span>
</div>
</div>
<div>
<h4 class="font-semibold">Recommendations</h4>
<ul class="list-disc pl-5">
${data.recommendations.map(r => `<li>${r}</li>`).join('')}
</ul>
</div>
</div>
</div>
`;
document.body.appendChild(panel);
}
}
Database Tables:
-- Add ML model storage
CREATE TABLE ml_models (
id SERIAL PRIMARY KEY,
model_type VARCHAR(50),
model_data BYTEA,
accuracy FLOAT,
trained_at TIMESTAMP,
version INTEGER
);
-- Add analytics cache
CREATE TABLE analytics_cache (
id SERIAL PRIMARY KEY,
cache_key VARCHAR(100) UNIQUE,
cache_value JSONB,
expires_at TIMESTAMP
);
6. Automation Workflows Engine
Priority: High
Complexity: High
Estimated Time: 2 weeks
Backend:
# app/models/workflow.py
class WorkflowRule(db.Model):
__tablename__ = 'workflow_rules'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(200))
trigger_type = db.Column(db.String(50)) # 'task_status_change', 'time_logged', etc.
trigger_conditions = db.Column(db.JSON)
actions = db.Column(db.JSON) # List of actions to perform
enabled = db.Column(db.Boolean, default=True)
user_id = db.Column(db.Integer, db.ForeignKey('users.id'))
created_at = db.Column(db.DateTime, default=datetime.utcnow)
class WorkflowExecution(db.Model):
__tablename__ = 'workflow_executions'
id = db.Column(db.Integer, primary_key=True)
rule_id = db.Column(db.Integer, db.ForeignKey('workflow_rules.id'))
executed_at = db.Column(db.DateTime, default=datetime.utcnow)
success = db.Column(db.Boolean)
error_message = db.Column(db.Text)
result = db.Column(db.JSON)
# app/services/workflow_engine.py
class WorkflowEngine:
@staticmethod
def evaluate_trigger(rule, event):
"""Check if rule should be triggered"""
if rule.trigger_type != event['type']:
return False
conditions = rule.trigger_conditions
event_data = event['data']
# Evaluate conditions
for condition in conditions:
if not WorkflowEngine.check_condition(condition, event_data):
return False
return True
@staticmethod
def execute_actions(rule, context):
"""Execute all actions for a rule"""
results = []
for action in rule.actions:
try:
result = WorkflowEngine.perform_action(action, context)
results.append({'action': action, 'success': True, 'result': result})
except Exception as e:
results.append({'action': action, 'success': False, 'error': str(e)})
# Log execution
execution = WorkflowExecution(
rule_id=rule.id,
success=all(r['success'] for r in results),
result=results
)
db.session.add(execution)
db.session.commit()
return results
@staticmethod
def perform_action(action, context):
"""Perform a single action"""
action_type = action['type']
if action_type == 'log_time':
return WorkflowEngine.action_log_time(action, context)
elif action_type == 'send_notification':
return WorkflowEngine.action_send_notification(action, context)
elif action_type == 'update_status':
return WorkflowEngine.action_update_status(action, context)
elif action_type == 'assign_task':
return WorkflowEngine.action_assign_task(action, context)
# Add more action types...
@staticmethod
def action_log_time(action, context):
"""Automatically log time"""
entry = TimeEntry(
user_id=context['user_id'],
project_id=action['project_id'],
task_id=context.get('task_id'),
start_time=datetime.utcnow(),
duration=action['duration'],
notes=action.get('notes', 'Auto-logged by workflow')
)
db.session.add(entry)
db.session.commit()
return {'entry_id': entry.id}
Frontend:
// app/static/automation-workflows.js
class WorkflowBuilder {
constructor() {
this.currentRule = {
name: '',
trigger: {},
conditions: [],
actions: []
};
}
showBuilder() {
// Visual workflow builder UI
const builder = document.createElement('div');
builder.innerHTML = `
<div class="workflow-builder">
<div class="workflow-step">
<h3>When this happens...</h3>
${this.renderTriggerSelector()}
</div>
<div class="workflow-step">
<h3>If these conditions are met...</h3>
${this.renderConditionBuilder()}
</div>
<div class="workflow-step">
<h3>Do this...</h3>
${this.renderActionBuilder()}
</div>
</div>
`;
return builder;
}
renderTriggerSelector() {
return `
<select class="form-input" onchange="workflowBuilder.setTrigger(this.value)">
<option value="">Select trigger...</option>
<option value="task_completed">Task is completed</option>
<option value="task_created">New task is created</option>
<option value="time_logged">Time is logged</option>
<option value="deadline_approaching">Deadline is approaching</option>
<option value="budget_threshold">Budget threshold reached</option>
</select>
`;
}
addCondition(field, operator, value) {
this.currentRule.conditions.push({ field, operator, value });
this.updatePreview();
}
addAction(type, params) {
this.currentRule.actions.push({ type, ...params });
this.updatePreview();
}
async save() {
const response = await fetch('/api/workflows', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(this.currentRule)
});
if (response.ok) {
window.toastManager.success('Workflow saved!');
}
}
}
// Example workflows
const exampleWorkflows = [
{
name: 'Auto-log completed tasks',
trigger: { type: 'task_completed' },
conditions: [
{ field: 'estimated_hours', operator: '>', value: 0 }
],
actions: [
{
type: 'log_time',
project_id: '{{task.project_id}}',
task_id: '{{task.id}}',
duration: '{{task.estimated_hours}}',
notes: 'Auto-logged on completion'
}
]
},
{
name: 'Deadline reminder',
trigger: { type: 'deadline_approaching' },
conditions: [
{ field: 'hours_until_deadline', operator: '<=', value: 24 }
],
actions: [
{
type: 'send_notification',
title: 'Deadline Alert',
message: '{{task.name}} is due in {{hours_until_deadline}} hours',
priority: 'high'
}
]
}
];
Due to the extensive scope, I'll create a comprehensive reference document for all remaining features. Let me create that now:
<function_calls> true