requirements-analysis.txt

# HistoCore Project Optimization Analysis System Dependencies
# Complete set of tools and libraries for comprehensive project analysis

# ============================================================================
# CORE DEPENDENCIES (Required)
# ============================================================================

# Data validation and serialization
jsonschema>=4.17.0      # JSON schema validation for analysis results
pydantic>=1.10.0        # Data validation and settings management

# Retry and error handling
tenacity>=8.2.0         # Retry logic for subprocess calls and external tools

# ============================================================================
# STATIC ANALYSIS TOOLS (Core Analysis)
# ============================================================================

# Code complexity and maintainability
radon>=5.1.0            # Cyclomatic complexity, maintainability index
mccabe>=0.7.0           # McCabe complexity checker

# Code quality and style
pylint>=2.17.0          # Comprehensive code quality analysis
flake8>=6.0.0           # Style guide enforcement (PEP 8)
pycodestyle>=2.10.0     # Python style guide checker
pyflakes>=3.0.0         # Logical error detection
autopep8>=2.0.0         # Automatic PEP 8 formatting

# Type checking
mypy>=1.0.0             # Static type checking
typing-extensions>=4.5.0 # Extended typing support

# Security analysis
bandit>=1.7.5           # Security vulnerability scanner
semgrep>=1.21.0         # Static analysis for security patterns

# ============================================================================
# DEPENDENCY ANALYSIS TOOLS
# ============================================================================

# Vulnerability scanning
safety>=2.3.0           # Dependency CVE scanning
pip-audit>=2.5.0        # Comprehensive dependency vulnerability scanning
cyclonedx-bom>=3.11.0   # Software Bill of Materials generation

# License analysis
pip-licenses>=4.3.0     # License compatibility checking
licensecheck>=2023.1.1  # License validation

# Dependency management
pipdeptree>=2.7.0       # Dependency tree visualization
pip-tools>=6.13.0       # Dependency management utilities

# ============================================================================
# TESTING AND COVERAGE TOOLS
# ============================================================================

# Test frameworks
pytest>=7.3.0           # Primary test framework
pytest-cov>=4.1.0       # Coverage plugin for pytest
pytest-xdist>=3.2.0     # Parallel test execution
pytest-mock>=3.10.0     # Mocking utilities

# Coverage analysis
coverage>=7.2.0         # Coverage measurement and reporting
coverage-badge>=1.1.0   # Coverage badge generation

# Property-based testing
hypothesis>=6.75.0      # Property-based testing framework

# ============================================================================
# PERFORMANCE PROFILING TOOLS
# ============================================================================

# CPU profiling
py-spy>=0.3.14          # Sampling profiler for Python
cProfile                # Built-in profiler (standard library)
line_profiler>=4.0.0    # Line-by-line profiling

# Memory profiling
memory-profiler>=0.60.0 # Memory usage profiling
pympler>=0.9            # Memory analysis toolkit

# ============================================================================
# DEPLOYMENT AND INFRASTRUCTURE VALIDATION
# ============================================================================

# Container analysis
hadolint-py>=2.12.0     # Dockerfile linting and best practices

# Kubernetes validation
kubeval>=0.16.1         # Kubernetes manifest validation (if available)

# CI/CD analysis
yamllint>=1.31.0        # YAML file linting for CI/CD configs

# ============================================================================
# VISUALIZATION AND REPORTING
# ============================================================================

# Static visualization
matplotlib>=3.7.0       # Static charts and plots
seaborn>=0.12.0         # Statistical data visualization
pillow>=9.5.0           # Image processing for charts

# Interactive visualization
plotly>=5.14.0          # Interactive charts and dashboards
dash>=2.10.0            # Web-based dashboards

# Data processing
pandas>=2.0.0           # Data manipulation and analysis
numpy>=1.24.0           # Numerical computing

# Report generation
jinja2>=3.1.0           # Template engine for reports
markdown>=3.4.0         # Markdown processing
weasyprint>=59.0        # HTML to PDF conversion
reportlab>=4.0.0        # PDF generation

# Table formatting
tabulate>=0.9.0         # ASCII table formatting
rich>=13.3.0            # Rich text and beautiful formatting

# ============================================================================
# OPTIONAL TOOLS (Enhanced Features)
# ============================================================================

# Advanced static analysis
vulture>=2.7            # Dead code detection
pyroma>=4.2             # Package quality rating
check-manifest>=0.49    # Manifest file validation

# Documentation analysis
pydocstyle>=6.3.0       # Docstring style checking
interrogate>=1.5.0      # Documentation coverage

# Git analysis
gitpython>=3.1.0        # Git repository analysis
pygount>=1.6.0          # Source code line counting

# Network and API analysis
requests>=2.28.0        # HTTP library for API calls
urllib3>=1.26.0         # HTTP client

# ============================================================================
# DEVELOPMENT AND TESTING UTILITIES
# ============================================================================

# Test data generation
faker>=18.9.0           # Fake data generation for testing
factory-boy>=3.2.0      # Test fixture generation

# Snapshot testing
pytest-snapshot>=0.9.0  # Snapshot testing for reports

# Performance benchmarking
pytest-benchmark>=4.0.0 # Performance regression testing

# ============================================================================
# INSTALLATION NOTES
# ============================================================================

# To install all dependencies:
#   pip install -r requirements-analysis.txt
#
# To install core dependencies only:
#   pip install jsonschema pydantic tenacity radon pylint bandit safety pytest-cov
#
# To install with visualization support:
#   pip install -r requirements-analysis.txt matplotlib plotly weasyprint
#
# For CI/CD environments (minimal):
#   pip install jsonschema radon pylint bandit safety pytest-cov tabulate
#
# System dependencies (Ubuntu/Debian):
#   sudo apt-get install pandoc wkhtmltopdf graphviz
#
# System dependencies (macOS):
#   brew install pandoc wkhtmltopdf graphviz
#
# System dependencies (Windows):
#   choco install pandoc wkhtmltopdf graphviz