Community Activity Alerts

Overview

This project tracks and analyzes edit activity across Wikimedia projects. It consists of scripts for fetching, storing, and analyzing edit data, as well as a web interface for visualization.

Script Descriptions

fetch_and_store_cron.py

• Purpose: Fetches monthly edit counts for all Wikimedia projects from the Wikimedia API and stores them in the edit_counts table in the database.
• How it works:
  • Downloads edit count data for each project.
  • Ensures the edit_counts table exists.
  • Inserts or updates edit counts for each project and month.
• Intended use: Run regularly (e.g., as a cron job) to keep the edit counts up to date.

fetch_and_store_script.py

• Purpose: Similar to fetch_and_store_cron.py; may be used for manual runs or testing.
• How it works:
  • Fetches edit counts from the Wikimedia API.
  • Stores results in the edit_counts table.
• Intended use: Manual or ad-hoc data fetching.

Community alerts .py

• Purpose: Detects peaks (unusual spikes) in edit activity for each project and stores these as alerts in the community_alerts table.
• How it works:
  • Reads all edit data from edit_counts.
  • Runs a peak detection algorithm for each project.
  • Stores detected peaks in the community_alerts table.
• Intended use: Run after edit data is up to date, to analyze and record significant activity spikes.

Database Tables

• edit_counts: Stores raw monthly edit counts for each project.
• community_alerts: Stores detected peaks/alerts for each project.

Local Setup

Prerequisites

• Python 3.7+
• MySQL server
• Virtual environment (recommended)

MySQL Installation

Ubuntu/Debian:

sudo apt update
sudo apt install mysql-server
sudo systemctl start mysql
sudo systemctl enable mysql

macOS:

# Using Homebrew
brew install mysql
brew services start mysql

Windows:

• Download MySQL installer from mysql.com
• Run installer and follow setup wizard
• Start MySQL service

Note: For production setups, consider running mysql_secure_installation to enhance security. For local development, this is optional.

Installation

1. Clone and set up environment:

   git clone <repository-url>cd community-activity-alerts
   python -m venv venv
   source venv/bin/activate # On Windows: venv\Scripts\activate
   pip install -r requirements.txt

2. Set up MySQL database:

   Connect to MySQL:

   # Connect as root (default) or your MySQL user
   mysql -u root -p

   Create database and user:

   -- Create the databaseCREATEDATABASEcommunity_alerts;
   -- Create a user for the applicationCREATEUSER 'wikim'@'localhost' IDENTIFIED BY 'wikimedia';
   -- Grant privileges to the userGRANT ALL PRIVILEGES ON community_alerts.* TO 'wikim'@'localhost';
   -- Apply changes
   FLUSH PRIVILEGES;
   -- Exit MySQL
   EXIT;

3. Configure database connection:

   Edit the database connection settings in your Python files:

   • In app.py: Update the get_db_connection() function
   • In other scripts: Update the database configuration variables

   # Example configuration (adjust as needed)conn=pymysql.connect(
   host="localhost", # Your MySQL hostuser='wikim', # Your MySQL usernamepassword='wikimedia', # Your MySQL passworddatabase="community_alerts", # Your database namecharset="utf8mb4",
   )

4. Create database tables:

   The tables will be created automatically when you run the scripts for the first time. The application creates:

   • edit_counts: Stores raw monthly edit counts
   • community_alerts: Stores detected activity peaks

5. Collect data:

   python fetch_and_store_cron.py

   This fetches 3 years of edit data for all Wikimedia projects (may take 30+ minutes).

6. Generate alerts:

   python "Community alerts .py"

   This analyzes the data and detects activity peaks.

7. Start the web interface:

   python app.py

   Visit http://localhost:5000 to explore the data.

Troubleshooting

• MySQL connection issues: Verify MySQL is running and credentials are correct
• Permission errors: Ensure the MySQL user has proper privileges on the database
• Port conflicts: Default MySQL port is 3306, Flask runs on port 5000
• OS-specific MySQL setup: Refer to official MySQL documentation for your operating system

Usage

The web interface allows you to:

• Select different Wikimedia language communities and projects
• Set custom date ranges with an interactive slider
• View detected activity peaks in both table and chart format
• Click on chart peaks to add labels and annotations