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Add professional project infrastructure and documentation#1

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theshadow76 merged 3 commits intomainfrom
copilot/create-professional-files
Feb 2, 2026
Merged

Add professional project infrastructure and documentation#1
theshadow76 merged 3 commits intomainfrom
copilot/create-professional-files

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Copilot AI commented Feb 2, 2026

Repository lacked standard project files and documentation for production use. Added comprehensive infrastructure following Python/ML/OSS best practices.

Documentation (1,900+ lines)

  • Root: README with badges and examples, LICENSE (MIT), CONTRIBUTING, CODE_OF_CONDUCT, CHANGELOG, SECURITY, CONTRIBUTORS
  • docs/: INSTALLATION (multi-platform + GPU), CONFIGURATION (all configs), API (code examples), DOCKER (deployment)

Development Infrastructure

  • Package: setup.py (pip installable), requirements.txt (all deps), .editorconfig
  • Tooling: Makefile (install/test/lint/train/trade commands), enhanced .gitignore
  • Docker: Dockerfile (CUDA-enabled), docker-compose.yml (train/trade services), .dockerignore

GitHub Integration

  • Templates: 3 issue types (bug/feature/question), PR template with checklist
  • CI/CD: Python pipeline (lint/test/security/build), docs validation
  • Meta: FUNDING.yml

Testing

  • tests/ structure with example framework

Impact

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:

# Package install
pip install -e .

# Docker with GPU
docker-compose up winston-train

# Development
make install && make train
Original prompt

make all the necessary files to make this more profesional


✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.

Copilot AI and others added 2 commits February 2, 2026 13:09
Co-authored-by: theshadow76 <59869868+theshadow76@users.noreply.github.com>
…, and more

Co-authored-by: theshadow76 <59869868+theshadow76@users.noreply.github.com>
Copilot AI changed the title [WIP] Create necessary files for a more professional setup Add professional project infrastructure and documentation Feb 2, 2026
Copilot AI requested a review from theshadow76 February 2, 2026 13:16
@theshadow76 theshadow76 marked this pull request as ready for review February 2, 2026 13:25
Copilot AI review requested due to automatic review settings February 2, 2026 13:25
@theshadow76 theshadow76 merged commit e8badc2 into main Feb 2, 2026
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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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Comment on lines +252 to +274
## GPU Utilities API

### GPU Monitoring

```python
from gpu_monitor import GPUMonitor

monitor = GPUMonitor()
stats = monitor.get_stats()

print(f"GPU Memory: {stats['memory_used']}/{stats['memory_total']} MB")
print(f"GPU Utilization: {stats['gpu_util']}%")
```

### GPU Benchmarking

```python
from gpu_benchmark import run_benchmark

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.

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Comment on lines +28 to +63
- Email: [INSERT SECURITY EMAIL]
- Subject: [SECURITY] Brief description
- Include:
- Description of the vulnerability
- Steps to reproduce
- Potential impact
- Any suggested fixes (optional)

### 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)

### Response Timeline:
- **Critical vulnerabilities:** Patch within 7 days
- **High severity:** Patch within 14 days
- **Medium/Low severity:** Patch in next release cycle

## Security Best Practices

When using WinstonAI, please follow these security practices:

### 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

### 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].
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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.

Suggested change
[INSERT CONTACT EMAIL].
coc@project.org.

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## Next Steps

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.

Suggested change
1. Read the [Usage Guide](usage.md)
1. Read the Usage Guide

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- CI/CD workflow with GitHub Actions
- Enhanced .gitignore for Python projects

## [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.

Suggested change
## [1.1.0] - 2024-XX-XX
## [1.1.0] - Unreleased

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Comment on lines +10 to +15
import os

# 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.

Suggested change
import os
# Add src to path
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))

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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.

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Comment on lines +31 to +32
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.

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Comment on lines +31 to +34
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.

Suggested change
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',

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pip install --no-cache-dir -r requirements.txt

# 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.

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2 participants