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feat: Create system for packaging and analyzing applications#1

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feat-app-packaging-system
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feat: Create system for packaging and analyzing applications#1
google-labs-jules[bot] wants to merge 1 commit intomainfrom
feat-app-packaging-system

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@google-labs-jules google-labs-jules Bot commented Dec 31, 2025

This change introduces a comprehensive system for packaging, analyzing, and deploying applications. It includes a Python script for automation, a YAML file for configuration, an SQLite database for metadata, and detailed documentation for deployment.


PR created automatically by Jules for task 6693481440628514017 started by @RemyLoveLogicAI


Summary by cubic

Creates an end-to-end system to analyze applications, store results in SQLite, and package them into a deployable tar.gz with a generated report. Improves release confidence by flagging missing files and version mismatches before deployment.

  • New Features

    • main.py automates analysis (required files, version checks) and writes results to metadata.db.
    • Generates analysis_report.md and packages apps into dist/rep_applications.tar.gz.
    • Configurable rules via config.yaml.
    • Deployment steps documented in DEPLOYMENT.md.
  • Migration

    • Run main.py to analyze and package.
    • Review analysis_report.md.
    • Deploy only apps with no discrepancies.

Written for commit ac8d8e0. Summary will update on new commits.

This commit introduces a comprehensive system for packaging, analyzing, and deploying "rep applications".

The system is built around a central Python script (`main.py`) that automates the entire workflow. Key features include:

- **Configurable Analysis:** A `config.yaml` file allows users to define rules for discrepancy analysis, such as checking for required files and version consistency.
- **Metadata Storage:** An SQLite database (`metadata.db`) is used to store analysis results, application status, and contextual notes without modifying the original files.
- **Automated Packaging:** The script packages the applications into a single `tar.gz` archive, using a temporary staging directory for clean processing.
- **Reporting:** An `analysis_report.md` file is automatically generated to provide a human-readable summary of the analysis findings.
- **Deployment Documentation:** A `DEPLOYMENT.md` file outlines a clear and professional process for deploying the packaged applications.

This solution fulfills all the requirements of the initial request, providing an efficient, automated, and robust system for managing the application lifecycle.
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coderabbitai Bot commented Dec 31, 2025

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