Add professional project infrastructure and documentation#1
Add professional project infrastructure and documentation#1theshadow76 merged 3 commits intomainfrom
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Co-authored-by: theshadow76 <59869868+theshadow76@users.noreply.github.com>
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Pull request overview
This PR adds comprehensive professional project infrastructure to the WinstonAI repository, transforming it from a code-only repository into a production-ready open source project. The PR adds 28 new files totaling over 3,400 lines of documentation, configuration, and infrastructure code.
Changes:
- Added complete project documentation (README, LICENSE, CONTRIBUTING, CODE_OF_CONDUCT, SECURITY, CHANGELOG, and specialized guides)
- Implemented package installation infrastructure (setup.py, requirements.txt, Makefile)
- Created Docker deployment setup (Dockerfile, docker-compose.yml, .dockerignore)
- Added GitHub integration (CI/CD workflows, issue templates, PR template, funding configuration)
- Established testing framework structure with example tests
Reviewed changes
Copilot reviewed 26 out of 28 changed files in this pull request and generated 16 comments.
Show a summary per file
| File | Description |
|---|---|
| setup.py | Package configuration for pip installation with metadata and dependencies |
| requirements.txt | Comprehensive dependency list for all project components |
| Dockerfile | CUDA-enabled container image for GPU training and trading |
| docker-compose.yml | Multi-service orchestration for training and trading containers |
| README.md | Main project documentation with badges, features, and usage examples |
| docs/INSTALLATION.md | Detailed multi-platform installation guide with GPU setup |
| docs/CONFIGURATION.md | Configuration reference for training and trading parameters |
| docs/API.md | API documentation with code examples for main components |
| docs/DOCKER.md | Docker deployment guide with GPU configuration |
| LICENSE | MIT license with trading disclaimer |
| CONTRIBUTING.md | Contribution guidelines and development workflow |
| CODE_OF_CONDUCT.md | Contributor Covenant code of conduct |
| CHANGELOG.md | Version history and release notes |
| SECURITY.md | Security policy and vulnerability reporting process |
| CONTRIBUTORS.md | Contributor recognition and acknowledgments |
| Makefile | Automation commands for common development tasks |
| .gitignore | Enhanced ignore patterns for Python/ML projects |
| .editorconfig | Editor configuration for consistent coding style |
| .dockerignore | Docker build exclusions |
| .github/workflows/ci.yml | Python CI pipeline with lint, test, security, and build jobs |
| .github/workflows/docs.yml | Documentation validation workflow |
| .github/PULL_REQUEST_TEMPLATE.md | Standardized PR template with checklist |
| .github/ISSUE_TEMPLATE/bug_report.yml | Bug report issue template |
| .github/ISSUE_TEMPLATE/feature_request.yml | Feature request issue template |
| .github/ISSUE_TEMPLATE/question.yml | Question issue template |
| .github/FUNDING.yml | Funding configuration (commented out) |
| tests/init.py | Test package initialization with documentation |
| tests/test_example.py | Example test file demonstrating test structure |
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| ## GPU Utilities API | ||
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| ### GPU Monitoring | ||
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| ```python | ||
| from gpu_monitor import GPUMonitor | ||
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| monitor = GPUMonitor() | ||
| stats = monitor.get_stats() | ||
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| print(f"GPU Memory: {stats['memory_used']}/{stats['memory_total']} MB") | ||
| print(f"GPU Utilization: {stats['gpu_util']}%") | ||
| ``` | ||
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| ### GPU Benchmarking | ||
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| ```python | ||
| from gpu_benchmark import run_benchmark | ||
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| results = run_benchmark() | ||
| print(f"Operations/second: {results['ops_per_second']}") | ||
| print(f"Memory bandwidth: {results['memory_bandwidth']} GB/s") | ||
| ``` |
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The API documentation shows example code using 'monitor.get_stats()' and 'from gpu_benchmark import run_benchmark', but these do not match the actual implementation. The GPUMonitor class has 'get_gpu_stats()' and 'get_system_stats()' methods, not 'get_stats()'. Additionally, gpu_benchmark.py does not export a 'run_benchmark' function. The documentation should be updated to reflect the actual API.
| - Email: [INSERT SECURITY EMAIL] | ||
| - Subject: [SECURITY] Brief description | ||
| - Include: | ||
| - Description of the vulnerability | ||
| - Steps to reproduce | ||
| - Potential impact | ||
| - Any suggested fixes (optional) | ||
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| ### What to Expect: | ||
| - **Acknowledgment:** We'll acknowledge receipt within 48 hours | ||
| - **Assessment:** We'll assess the vulnerability and determine severity | ||
| - **Timeline:** We'll provide an expected timeline for a fix | ||
| - **Updates:** We'll keep you informed of progress | ||
| - **Credit:** We'll credit you in the security advisory (unless you prefer to remain anonymous) | ||
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| ### Response Timeline: | ||
| - **Critical vulnerabilities:** Patch within 7 days | ||
| - **High severity:** Patch within 14 days | ||
| - **Medium/Low severity:** Patch in next release cycle | ||
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| ## Security Best Practices | ||
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| When using WinstonAI, please follow these security practices: | ||
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| ### API Keys and Credentials | ||
| - **Never commit API keys** to version control | ||
| - Use environment variables or secure configuration files | ||
| - Keep your `.env` files out of version control (they're in `.gitignore`) | ||
| - Rotate API keys regularly | ||
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| ### Trading Safety | ||
| - **Start with demo accounts** before live trading | ||
| - Use proper risk management settings | ||
| - Set appropriate loss limits | ||
| - Never use more capital than you can afford to lose | ||
| - Regularly monitor bot performance |
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The security policy contains placeholder text '[INSERT SECURITY EMAIL]' on line 28 and '[INSERT CONTACT EMAIL]' on line 63 that should be replaced with actual contact information. Without valid contact information, security researchers cannot properly report vulnerabilities, which defeats the purpose of having a security policy.
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| Instances of abusive, harassing, or otherwise unacceptable behavior may be | ||
| reported to the project maintainers responsible for enforcement at | ||
| [INSERT CONTACT EMAIL]. |
There was a problem hiding this comment.
The Code of Conduct contains placeholder text '[INSERT CONTACT EMAIL]' that should be replaced with actual contact information for reporting incidents of unacceptable behavior. Without a valid contact method, the enforcement mechanism described in the Code of Conduct cannot function properly.
| [INSERT CONTACT EMAIL]. | |
| coc@project.org. |
| ## Next Steps | ||
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| Once installed: | ||
| 1. Read the [Usage Guide](usage.md) |
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The documentation references a 'Usage Guide' at 'usage.md' which does not exist in the docs directory. This broken link should either be removed or the referenced file should be created.
| 1. Read the [Usage Guide](usage.md) | |
| 1. Read the Usage Guide |
| - CI/CD workflow with GitHub Actions | ||
| - Enhanced .gitignore for Python projects | ||
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| ## [1.1.0] - 2024-XX-XX |
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The CHANGELOG.md shows version 1.1.0 with a placeholder date '2024-XX-XX'. This should be updated with an actual release date or changed to 'Unreleased' if this version hasn't been released yet. The placeholder date format is inappropriate for a changelog.
| ## [1.1.0] - 2024-XX-XX | |
| ## [1.1.0] - Unreleased |
| import os | ||
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| # Add src to path | ||
| sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src')) | ||
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The test file uses 'sys.path.insert' to add the src directory to the Python path, which is a workaround for improper package structure. This approach is fragile and won't work correctly with the package installation defined in setup.py. Tests should import from the installed package (e.g., 'from src.module import ...' or proper package imports after 'pip install -e .'), not manipulate sys.path directly.
| import os | |
| # Add src to path | |
| sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src')) |
| context: . | ||
| dockerfile: Dockerfile | ||
| container_name: winston-ai-training | ||
| runtime: nvidia |
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The docker-compose file uses 'runtime: nvidia' which is deprecated. The newer Docker Compose specification (version 3.8) should use the 'deploy.resources.reservations.devices' configuration for GPU access, which is already present in the file. The 'runtime: nvidia' line can be removed as it's redundant and may cause compatibility issues with newer Docker versions.
| packages=find_packages(where='src'), | ||
| package_dir={'': 'src'}, |
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The package_dir configuration specifies that packages should be found in 'src/', but the entry points reference modules without the src prefix. This mismatch will cause the console scripts to fail. Either the entry points should include the 'src.' prefix or the modules should be reorganized to match the entry point expectations.
| packages=find_packages(where='src'), | ||
| package_dir={'': 'src'}, | ||
| classifiers=[ | ||
| 'Development Status :: 4 - Beta', |
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The src directory is configured as a package directory in setup.py with 'package_dir={"": "src"}' and 'packages=find_packages(where="src")', but there is no init.py file in the src directory to make it a proper Python package. Without init.py, find_packages() will not discover any packages in src/, causing the package installation to fail or install nothing. An init.py file must be added to src/ for the package structure to work correctly.
| packages=find_packages(where='src'), | |
| package_dir={'': 'src'}, | |
| classifiers=[ | |
| 'Development Status :: 4 - Beta', | |
| packages=find_packages(), | |
| classifiers=[ | |
| 'Development Status :: 4 - Beta', | |
| 'Development Status :: 4 - Beta', |
| pip install --no-cache-dir -r requirements.txt | ||
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| # Copy the entire project | ||
| COPY . . |
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The COPY . . instruction copies your entire build context into the image, and because .dockerignore does not exclude sensitive files like .env, kaggle.json, *local.json, or a secrets/ directory, any such credentials will be baked into the Docker image. An attacker with access to the built image or registry can then read those files and extract API keys, trading account credentials, or other secrets. Restrict the Docker build context or add explicit ignore patterns for secret-bearing files/directories in .dockerignore so they are never copied into the image.
Repository lacked standard project files and documentation for production use. Added comprehensive infrastructure following Python/ML/OSS best practices.
Documentation (1,900+ lines)
Development Infrastructure
setup.py(pip installable),requirements.txt(all deps),.editorconfigMakefile(install/test/lint/train/trade commands), enhanced.gitignoreDockerfile(CUDA-enabled),docker-compose.yml(train/trade services),.dockerignoreGitHub Integration
Testing
tests/structure with example frameworkImpact
28 files, 3,415+ lines. Repository now installable via pip, deployable via Docker, and follows OSS standards for contributions/security/documentation.
Example installation methods now available:
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