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Thank you for your interest in contributing! This document provides guidelines for development, testing, and contributions.
## π€ How to Contribute
### Types of Contributions
- **Bug Fixes**: Report and fix issues
- **Features**: Add new analysis modules or visualizations
- **Documentation**: Improve guides and examples
- **Tests**: Add unit and integration tests
- **Performance**: Optimize existing code
## π§ Development Setup
### 1. Clone Repository
```bash
git clone <repo-url>
cd streamlit_app
```
### 2. Create Development Environment
```bash
# Create virtual environment
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
# Install dependencies with dev extras
pip install -r requirements.txt
pip install -e . # If using setup.py
```
### 3. Install Pre-commit Hooks
```bash
pip install pre-commit
pre-commit install
```
## π Code Style
### Python Style Guide (PEP 8)
```bash
# Format code
black modules/ utils/
# Check linting
flake8 modules/ utils/
# Type checking
mypy modules/ utils/
```
### Docstring Format
```python
def example_function(param1: str, param2: int) -> bool:
"""
Brief description of function.
Longer description if needed, explaining the purpose,
algorithm, or important details.
Parameters
----------
param1 : str
Description of param1
param2 : int
Description of param2
Returns
-------
bool
Description of return value
Examples
--------
>>> result = example_function("test", 42)
>>> print(result)
True
Notes
-----
Additional implementation notes or warnings.
"""
return True
```
## π§ͺ Testing
### Running Tests
```bash
# Run all tests
pytest
# Run specific test file
pytest tests/test_visualization.py
# Run with coverage
pytest --cov=modules --cov=utils tests/
# Verbose output
pytest -v
```
### Writing Tests
```python
# tests/test_module.py
import pytest
from modules import visualization
def test_spatial_flux_map_basic():
"""Test basic spatial flux map generation."""
# Setup
mock_adata = create_mock_adata()
# Action
fig = visualization.plot_spatial_flux(mock_adata, 'EX_glc_D[e]')
# Assert
assert fig is not None
assert fig.axes is not None
def test_visualization_with_invalid_reaction():
"""Test error handling for invalid reactions."""
mock_adata = create_mock_adata()
with pytest.raises(ValueError):
visualization.plot_spatial_flux(mock_adata, 'INVALID_RXN')
```
## π¦ Adding New Modules
### Structure for New Feature
```
modules/
βββ new_feature.py # Main module
βββ __init__.py
βββ tests/
βββ test_new_feature.py
```
### Module Template
```python
"""
New Feature Module
==================
Brief description of functionality.
"""
import streamlit as st
import logging
logger = logging.getLogger(__name__)
def render():
"""Render feature UI."""
st.markdown("## π New Feature")
# Check prerequisites
if st.session_state.metabolic_adata is None:
st.error("Please run flux analysis first.")
return
metabolic_adata = st.session_state.metabolic_adata
# UI components
col1, col2 = st.columns(2)
with col1:
# Input controls
parameter = st.slider("Parameter:", 1, 100, 50)
with col2:
# Additional options
method = st.selectbox("Method:", ["option1", "option2"])
# Main computation
if st.button("βΆοΈ Run Analysis") :
try:
with st.spinner("Computing..."):
result = perform_analysis(metabolic_adata, parameter, method)
st.success("β Analysis complete!")
st.dataframe(result)
except Exception as e:
st.error(f"Error: {str(e)}")
logger.error(f"Analysis failed: {str(e)}", exc_info=True)
def perform_analysis(adata, parameter, method):
"""
Perform custom analysis.
Parameters
----------
adata : AnnData
Input data
parameter : int
Analysis parameter
method : str
Analysis method
Returns
-------
pd.DataFrame
Analysis results
"""
# Implementation
results = {}
return results
```
### Integrating into Main App
```python
# app.py
elif page == "π New Feature":
from modules import new_feature
new_feature.render()
```
## π Documentation
### Adding to README.md
1. Update feature list under "Features"
2. Add usage instructions in "Usage Guide"
3. Include examples and expected outputs
### Creating Examples
```python
# examples/basic_workflow.py
"""
Basic workflow example for Spatial Metabolic Atlas.
"""
import scanpy as sc
from streamlit_app.utils import plotting, flux_utils
# Load data
adata = sc.read_h5ad("data/spatial_data.h5ad")
# Preprocess
sc.pp.normalize_total(adata, 1e4)
sc.pp.log1p(adata)
# Visualize
fig = plotting.plot_spatial_flux(adata, "EX_glc_D[e]")
print("Done!")
```
## π Bug Reports
When reporting bugs, include:
- **Title**: Concise description
- **Steps to reproduce**: Exact steps to recreate issue
- **Expected behavior**: What should happen
- **Actual behavior**: What actually happens
- **Screenshots**: If applicable
- **Environment**: Python version, OS, package versions
### Bug Report Template
```markdown
## Bug: [Title]
### Steps to Reproduce
1. Load dataset X
2. Go to Y module
3. Click button Z
4. Get error
### Expected Behavior
Should show visualization
### Actual Behavior
Shows error message: "..."
### Screenshots
[If applicable]
### Environment
- Python: 3.10.5
- Streamlit: 1.28.0
- OS: Ubuntu 22.04
```
## π¨ Feature Requests
Provide:
- **Use case**: Why is this needed?
- **Description**: Detailed description
- **Example**: How would it be used?
- **Priority**: Low, Medium, High
### Feature Request Template
```markdown
## Feature: [Title]
### Use Case
Researchers want to [use case description]
### Proposed Solution
Implement [feature description]
### Example Usage
[How users would use this feature]
### Additional Context
[Any other relevant information]
```
## π Pull Request Process
1. **Fork** the repository
2. **Create Branch**: `git checkout -b feature/feature-name`
3. **Make Changes**: Follow code style guidelines
4. **Write Tests**: Add tests for new functionality
5. **Document**: Update README, docstrings, comments
6. **Commit**: Clear, descriptive commit messages
7. **Push**: `git push origin feature/feature-name`
8. **Create PR**: Open pull request with description
### PR Template
```markdown
## Description
Brief description of changes
## Type
- [ ] Bug fix
- [ ] New feature
- [ ] Documentation
- [ ] Performance
## Changes
- Change 1
- Change 2
## Testing
- [ ] Tests added/updated
- [ ] All tests passing
- [ ] Manual testing completed
## Screenshots
[If applicable]
## Checklist
- [ ] Code follows style guidelines
- [ ] Documentation updated
- [ ] Tests added
- [ ] No breaking changes
```
## ποΈ Architecture Decisions
### Module Interface Standard
All modules should:
- Implement `render()` function
- Check `st.session_state` for prerequisites
- Handle errors gracefully with try/except
- Log important operations
- Provide user feedback (success/error messages)
### Caching Strategy
```python
@st.cache_data(ttl=3600)
def expensive_computation(data):
"""This will be cached for 1 hour."""
return result
@st.cache_resource
def load_model():
"""This will be cached for entire session."""
return model
```
## π Release Process
1. **Update Version**:
- `app.py`: Update version string
- `setup.py`: Update version
- Create CHANGELOG entry
2. **Create Release**:
- Tag commit: `git tag v1.0.0`
- Push tag: `git push origin v1.0.0`
- Create GitHub release with notes
3. **Deploy**:
- Build Docker image
- Push to registry
- Deploy to production
## π Getting Help
- **Documentation**: Check README.md and DEPLOYMENT.md
- **Issues**: Search GitHub Issues
- **Discussions**: Start discussion thread
- **Email**: contact@example.com
## π Code of Conduct
### Our Pledge
We are committed to providing a welcoming and inclusive environment.
### Our Standards
- Use welcoming language
- Be respectful of differing opinions
- Accept constructive criticism gracefully
- Focus on what is best for the community
- Show empathy towards other community members
### Enforcement
Violations may result in removal from the community.
---
**Thank you for contributing!** π
Your contributions help make Spatial Metabolic Atlas better for researchers worldwide.
**Last Updated**: February 2024
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