BLBR Scripts Docker Setup

This directory contains the Docker configuration for running the BLBR scripts with scheduled execution.

Overview

The setup includes:

1. Dockerfile: Configures a Python environment with cron for scheduled task execution
2. docker-compose.yml: Orchestrates the scripts container and MongoDB

Scheduled Tasks

By default, the following sequence runs daily at 7:00 PM IST (19:30 server time):

python run_step.py download
python run_step.py trend
python run_step.py mongodb

Getting Started

Prerequisites

• Docker and Docker Compose installed on your system

Running

# Start the containers (pulls image from Docker Hub)
docker-compose up -d

# View logs
docker-compose logs -f

# Stop the containers
docker-compose down

Testing the Scripts Manually

To run scripts manually without waiting for the scheduled time:

# Execute into the container
docker exec -it blbr-scripts bash

# Run scripts manually
python run_step.py download
python run_step.py trend
python run_step.py mongodb

Configuration

Modifying the Schedule

The schedule is configured in the Docker image to run at 7:30 PM IST every day.

If you need to modify the schedule, you'll need to:

1. Fork the repository containing the Dockerfile
2. Update the cron expression
3. Build and publish your own image
4. Update the docker-compose.yml to use your custom image

Volume Mounts

The Docker setup uses the following volume mounts:

• ./logs:/app/logs: Persists log files from the script execution
• ./data:/app/data: Persists data files
• /tmp/blbr:/tmp/blbr: Maps the temporary directory used during processing
• mongodb_data:/data/db: Persists the MongoDB data

Database Access

MongoDB is exposed on port 27017 and can be accessed:

• From host: mongodb://localhost:27017
• From other containers: mongodb://mongodb:27017