Library to track user interactions in Dash applications
Project description
Dash Tracker
Dash Tracker is a lightweight tracking library for Dash applications. It logs user interactions, page views, and navigation events, with support for sending data to a tracking endpoint or printing to console for development purposes.
Features
- Tracks full-page loads and internal navigation events
- Built-in analytics capabilities for querying user activity and page views
- Captures user information from Flask sessions (ID, email, full name)
- Supports ignoring specific routes and callbacks
- Sends tracking data via HTTP requests or logs to the console
- Seamless integration with Dash and Flask
- Support for custom user providers and repositories
Installation
pip install dash-user-tracker
Basic Usage
The basic usage supports sending tracking data to a custom endpoint.
from dash import Dash
from dash_user_tracker import Tracker
app = Dash(__name__)
tracker = Tracker(app, tracker_endpoint="https://your-tracker-endpoint.com")
Development Mode
tracker = Tracker(app) # Will print events to console
Custom Configuration
You can use the HttpTrackerRepository class to send tracking data to a custom endpoint.
from dash import Dash
from dash_user_tracker import Tracker, HttpTrackerRepository
app = Dash(__name__)
repository = HttpTrackerRepository("https://your-tracker-endpoint.com", "api-key")
tracker = Tracker(
app,
ignore_route = ignore_route,
ignore_callback = ignore_callback,
user_provider = user_provider,
repository = repository
)
Ignoring Routes and Callbacks
The library allows you to customize the ignore_route and ignore_callback functions to exclude specific routes and callbacks from tracking.
def ignore_route(route):
return route in ["/health", "/metrics"]
def ignore_callback(callback):
return callback in ["callback1", "callback2"]
User Information
You can also customize the user provider to extract user information from the Flask session.
def user_provider():
return {
"id": session.get("user_id"),
"email": session.get("user_email"),
"full_name": session.get("user_full_name")
}
Custom Repository
Alternatively, you can create your own custom repository by extending the TrackerRepository class.
To do this, look at the HttpTrackerRepository class for reference.
Analytics
The library includes a built-in analytics module for querying user activity and page views.
Use it directly from the tracker instance, or, use the TrackerAnalytics class directly.
tracker_analytics = tracker.analytics
# Or
from dash_user_tracker import TrackerAnalytics
tracker_analytics = TrackerAnalytics(
repository = repository
)
# Get Page Views
page_views = await tracker_analytics.get_page_views()
# Get user activity
activity = await tracker_analytics.get_user_activity("user123")
# Get page activity
page_stats = await tracker_analytics.get_page_activity("/dashboard")
# Get user counts
total_users = await tracker_analytics.get_user_count()
# Get user counts by path
page_users = await tracker_analytics.get_user_count_by_path("/home")
Event Data Format
The information sent to the tracking endpoint is in the following format:
{
"event": "page_view",
"data": {
"app_name": "My Dash App",
"ip": "127.0.0.1",
"user_agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
"base_url": "http://127.0.0.1:8050/",
"url": "http://127.0.0.1:8050/",
"url_root": "http://127.0.0.1:8050/",
"referrer": null,
"path": "/",
"full_path": "/?",
"method": "GET",
"user_id": "anonymous",
"email": "anonymous",
"full_name": "anonymous"
},
"timestamp": "2025-01-30T20:29:28.543062+00:00"
}
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dash_user_tracker-1.2.0.tar.gz.
File metadata
- Download URL: dash_user_tracker-1.2.0.tar.gz
- Upload date:
- Size: 10.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.1 CPython/3.11.4 Darwin/24.3.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e039e59eb5f9787a7718af08f6599df4649b07668b7bbeb449bd48d3a0741c70
|
|
| MD5 |
452adf29ee98b0c31013f5802d273330
|
|
| BLAKE2b-256 |
9bb3fe73a7b5ea39f94c982cdec65b3b021e1bc0b96a8663bbd908cd97c0619c
|
File details
Details for the file dash_user_tracker-1.2.0-py3-none-any.whl.
File metadata
- Download URL: dash_user_tracker-1.2.0-py3-none-any.whl
- Upload date:
- Size: 13.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.1 CPython/3.11.4 Darwin/24.3.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0e59cc98546960a44ac7bd6a7b0c1d5b9fe2ad62fde7386aa56ed2e96726647b
|
|
| MD5 |
3f1b61b4d0c4be198310d7c22f21e7f5
|
|
| BLAKE2b-256 |
58f9ee52488a02a70c0ab42fa8e1fee7cc9ed885609215143ec9fbbf91cf1b50
|