Enhanced Python Dependency Management with Docker

2 min read

📅 2024-04-15 — Session: Enhanced Python Dependency Management with Docker

🕒 14:15–15:05
🏷️ Labels: Docker, Python, Flask, Dependency Management, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to streamline Python dependency management using Docker, focusing on creating a clean and efficient environment for Python projects, particularly Flask applications.

Key Activities

  • Docker Environment Setup: Initiated a Docker container to identify and manage Python module dependencies, ensuring a clean environment.
  • Dynamic Import Check: Developed a Python script to dynamically check for module imports within Docker, enhancing error handling without the need for container rebuilds.
  • Script Enhancement: Enhanced the import check script to provide detailed output for each module’s import status and included troubleshooting steps.
  • Flask Application Dependencies: Outlined necessary modules for Flask applications and best practices for maintaining a requirements.txt file.
  • Version Management: Implemented strategies for managing dataset and model versions in Flask applications, including version control and session management.
  • Temporary File Management: Managed and cleaned up session-specific model files in Flask, ensuring proper cleanup and error handling.
  • Application Context Management: Utilized current_app in Flask for effective application context management and resource cleanup.
  • Error Resolution: Addressed FileNotFoundError issues related to model saving in Flask applications.

Achievements

  • Successfully set up a Docker environment for Python dependency management.
  • Created a robust dynamic import check script with enhanced troubleshooting capabilities.
  • Established a comprehensive approach to managing dependencies and version control in Flask applications.

Pending Tasks

  • Further testing and optimization of the dynamic import check script in different environments.
  • Integration of the dependency management strategy with continuous integration pipelines for automated testing.

Graph View

Backlinks