Cbr-custom-data-feeds

Latest version: v1.21.0

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1.0.0

This release introduces **CBR Custom - News Feeds** with the following key highlights:

Features
- **CI/CD Pipeline**: Fully integrated pipeline with GitHub Actions for:
- Running unit, integration, and QA tests with 100% code coverage.
- Automatic deployment to PyPI.
- Container image publishing to AWS Elastic Container Registry (ECR).
- Deployment of an AWS Lambda function.

- **Lambda Deployment**:
- New Lambda function deployed via `Deploy_Lambda__Cbr_Custom__News_Feeds.py` script.
- Updated Dockerfile for Lambda integration with ASGI (FastAPI) using Mangum.

CI/CD Enhancements
- **Pipeline Updates**:
- Separated unit, integration, and QA test stages for better visibility and coverage.
- Added a new GitHub Action to run QA tests (`aws__run-qa-tests`).
- Updated environment variable usage in workflows for streamlined AWS credential management.

- **Docker Enhancements**:
- Created a dedicated `Dockerfile` for `cbr_custom_news_feeds`.
- Introduced `docker-compose.yml` for local container testing.

- **Version Management**:
- Automated versioning updates with a `version` file tracked in the repository.

Testing
- **Comprehensive Test Coverage**:
- Unit tests organized under `tests/unit`.
- Integration tests organized under `tests/integration`.
- QA tests introduced under `tests/qa`.

Project Structure
- Refactored project structure:
- All files in `cbr_custom_news_feeds`.
- Modularized FastAPI application under `cbr_custom_news_feeds/fast_api`.
- Added routing for version information through `/info/version`.

Documentation
- Updated `README.md`:
- Updated project title and details to reflect the new project name and purpose.

FastAPI with Swagger support

<img width="886" alt="image" src="https://github.com/user-attachments/assets/75c927dc-9d68-478e-9309-80c4cdfbcc4e">


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Installation and Usage
1. Install the package:
bash
pip install cbr_custom_news_feeds


2. Run the FastAPI server locally:

uvicorn cbr_custom_news_feeds.lambdas.handler:app --host 0.0.0.0 --port 8080

Acknowledgments
This milestone marks the first stable release with robust deployment automation, extensive testing, and a strong foundation for future development.


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(Prompt used in ChatGPT 4o)

Hi can you give me the release notes for for this version (this is going to be v1.0.0 which is the first release with a CI/DC pipeline, pypi deployment, ECR container publish, creation of AWS lambda function and comprehensive set of tests with 100% code coverage: test, integration and QA)

... copy and past of git diff from https://github.com/the-cyber-boardroom/cbr-custom--news-feeds/compare/v0.1.0...v1.0.0.diff ...

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