provide-foundation 0.3.0.post1

A comprehensive Python foundation library for building robust applications with structured logging, CLI framework, configuration management, and essential building blocks.

🧱🏗️ Provide Foundation

A comprehensive Python foundation library for modern applications

provide.foundation offers structured logging, CLI utilities, configuration management, error handling, and essential application building blocks. Built with modern Python practices, it provides the core infrastructure that production applications need.

✨ Key Features

• 📝 Structured Logging - Beautiful, performant logging with emoji-enhanced visual parsing
• 🛡️ Error Handling - Comprehensive error handling with retry logic and error boundaries
• ⚙️ Configuration Management - Flexible configuration with environment variables and files
• 🔧 CLI Framework - Build command-line interfaces with automatic help generation
• 🔐 Cryptographic Utilities - Modern algorithms and secure defaults
• 📁 File Operations - Atomic file operations with format support and safety guarantees
• 🔄 Resilience Patterns - Retry, circuit breaker, and bulkhead decorators
• ⚡ Async Support - High-level utilities for managing asynchronous tasks

Quick Start

Note: provide-foundation is in pre-release (v0.x.x). APIs and features may change before 1.0 release.

1. Install: uv add provide-foundation
2. Read the Quick Start guide.
3. Explore runnable examples in examples/README.md.

Documentation

• Documentation index
• Getting started
• Reference

Development

Quick Start

# Set up environment
uv sync

# Run common tasks
we run test       # Run tests
we run lint       # Check code
we run format     # Format code
we tasks          # See all available commands

See CLAUDE.md for detailed development instructions and architecture information.

Contributing

See CONTRIBUTING.md for contribution guidelines.

License

See LICENSE for license details.

Quality Standards

provide.foundation focuses on code quality, testing, and reliability:

• Test Coverage is tracked and enforced in CI.
• Security Checks include path traversal and symlink validation tests.
• Performance Benchmarks cover logging, transport, and archive operations.
• Type Checking is enforced with mypy.
• Linting and Formatting are enforced with ruff.

---

Optional Dependencies

provide.foundation has optional feature sets that require additional dependencies:

Feature	Install Command	Required For
Basic logging	uv add provide-foundation	Core logging functionality
CLI framework	uv add provide-foundation[cli]	Command-line interface features
Cryptography	uv add provide-foundation[crypto]	Hash functions, digital signatures, certificates
HTTP Transport	uv add provide-foundation[transport]	HTTP client utilities and transport features
OpenTelemetry	uv add provide-foundation[opentelemetry]	Distributed tracing and metrics
All features	uv add provide-foundation[all]	Everything above

Quick Start Tip: For immediate use with just logging, install the base package. Add extras as needed.

---

What's Included

provide.foundation offers a comprehensive toolkit for building robust applications:

Core Components

• Structured Logging - Beautiful, performant logging built on structlog with event-enriched structured logging and zero configuration required
• Metrics - Lightweight and extensible metrics collection with optional OpenTelemetry integration
• CLI Framework - Build command-line interfaces with automatic help generation and component registration (requires [cli] extra)
• Configuration Management - Flexible configuration system supporting environment variables, files, and runtime updates
• Error Handling - Comprehensive error handling with retry logic and error boundaries
• Resilience Patterns - Suite of decorators for building reliable applications (retry, circuit breaker, bulkhead)
• Concurrency Utilities - High-level utilities for managing asynchronous tasks and thread-safe operations
• Cryptographic Utilities - Comprehensive cryptographic operations with modern algorithms and secure defaults (requires [crypto] extra)
• File Operations - Atomic file operations with format support and safety guarantees
• Archive Operations - Create and extract archives with support for TAR, ZIP, GZIP, and BZIP2 formats
• Serialization - Safe and consistent JSON serialization and deserialization
• Console I/O - Enhanced console input/output with color support, JSON mode, and interactive prompts
• Formatting Utilities - Collection of helpers for formatting text, numbers, and data structures
• Platform Utilities - Cross-platform detection and system information gathering
• Process Execution - Safe subprocess execution with streaming and async support
• Hub and Registry - Central system for managing application components, commands, and resources

---

Architecture & Design Philosophy

provide.foundation is intentionally designed as a foundation layer, not a full-stack framework. Understanding our architectural decisions helps teams evaluate whether the library aligns with their requirements.

When to Use provide.foundation

Excellent fit:

• CLI applications and developer tools
• Microservices with structured logging needs
• Data processing pipelines
• Background task processors

Good fit (with awareness):

• Web APIs (use for logging, not HTTP server)
• Task processors (Celery, RQ)
• Libraries needing structured logging

Consider alternatives:

• Ultra-low latency systems (<100μs requirements) - e.g., HFT systems, real-time gaming servers where Foundation's lock-based registry adds unwanted overhead
• Full-stack framework needs (use Django, Rails) - Foundation provides logging/config but not ORM, templating, or routing
• Tool stack incompatibility - e.g., if your team standardized on Pydantic models (Foundation uses attrs) or loguru (Foundation uses structlog)

Key Design Decisions

Tool Stack Philosophy: Built on proven tools (attrs, structlog, click) with strong opinions for consistency. Trade-off: less flexibility, but cohesive and well-tested stack.

Threading Model: Registry uses threading.RLock (not asyncio.Lock). Negligible impact for typical use cases (CLI apps, initialization-time registration, read-heavy workloads). For high-throughput async web services (>10k req/sec) with runtime registration in hot paths, consider async-native alternatives.

Global State Pattern: Singletons (get_hub(), logger) for ergonomic APIs. Mitigation: provide-testkit provides reset_foundation_setup_for_testing() for clean test state.

Intentional Scope: Provides logging, configuration, CLI patterns. Does NOT provide web frameworks, databases, auth, or templates. Integrate with FastAPI/Flask/Django for web applications.

Built by provide.io

Copyright (c) provide.io LLC.