context-engine-zain333 0.1.1

Aggregate codebase files into a single context file for LLM consumption.

Context Engine CLI

Bridge the gap between massive local codebases and Large Language Models (LLMs). Context Engine CLI turns a repository into a clean, single-file context bundle that is easier to inspect, share, and paste into AI tools.

✨ Features

• Deterministic LLM-ready context that preserves the original file traversal order, even while reading files concurrently.
• Clean single-file output with a directory tree and clearly separated file sections for easy LLM parsing.
• Fast directory traversal with os.scandir, avoiding slower recursive path walking.
• Memory-safe output streaming that writes directly to disk instead of building one huge string in RAM.
• Concurrent file reading with ThreadPoolExecutor for faster aggregation on large repositories.
• .gitignore and .contextignore support for project-specific filtering.
• Precompiled ignore rules using fnmatch.translate and re.Pattern for faster repeated matching.
• Default binary and build-artifact exclusions for files such as .png, .exe, .pdf, .pyc, node_modules, __pycache__, and .git.
• Token estimation using the practical rule of thumb 1 token ≈ 4 characters.
• Token budget control with --max-tokens to stop before the output exceeds an LLM context window.
• Clean terminal UX with scan feedback, warnings for skipped files, and a final processing summary.

📦 Installation

Install from PyPI:

pip install context-engine-zain333

After installation, the context-engine command is available from your terminal:

context-engine --help

On Windows, if the command is not recognized after installation, make sure your Python Scripts directory is on PATH.

🚀 Usage

Generate a clean context file for a local project:

context-engine ./my-project

By default, this creates:

codebase_context.txt

Write to a custom output file:

context-engine ./my-project --output project_context.txt

Ignore additional file extensions:

context-engine ./my-project --ignore .csv,.sqlite,.bak

Limit the estimated token budget:

context-engine ./my-project --max-tokens 100000

Combine options for larger repositories:

context-engine ./my-project \
  --output llm_context.txt \
  --ignore .png,.jpg,.sqlite \
  --max-tokens 100000

🧠 Why This Exists

LLMs work best when they receive structured, relevant context. Real repositories, however, are messy: they include dependency folders, caches, binaries, build output, generated files, and enough source code to overwhelm both memory and context windows.

Context Engine CLI creates a clean, LLM-friendly snapshot of a codebase by:

• rendering the directory tree,
• appending readable source files with clear file headers,
• skipping binary or unreadable files gracefully,
• respecting ignore rules,
• estimating final token usage,
• and streaming output safely to disk.

The result is a single text file that an LLM can parse without requiring you to manually copy files, prune noise, or guess whether the final context will fit.

🧾 Output Format

Each generated file starts with a directory tree, followed by clearly separated file sections:

CODEBASE CONTEXT
================================================================================
Directory Tree
================================================================================
my-project
|-- context_engine
|   `-- main.py
`-- pyproject.toml

================================================================================
File: context_engine/main.py
================================================================================
[FILE CONTENT HERE]

🙈 Ignore Rules

Context Engine CLI reads ignore patterns once at startup from:

• built-in defaults,
• .gitignore,
• .contextignore,
• and the optional --ignore argument.

Use .contextignore for LLM-specific exclusions without changing your Git behavior:

docs/archive/
*.snapshot
large-fixtures/

Negated ignore rules such as !important.py are currently skipped.

⚙️ CLI Reference

context-engine TARGET_DIR [-o OUTPUT] [-i EXTENSIONS] [--max-tokens N]

Arguments:

• TARGET_DIR: Directory to scan.
• -o, --output: Output file name. Defaults to codebase_context.txt.
• -i, --ignore: Additional comma-separated file extensions to ignore.
• --max-tokens: Maximum estimated tokens to write before stopping.

🛠 Development

Install locally in editable mode:

python -m pip install -e .

Run the CLI from source:

python -m context_engine.main ./my-project

Run a syntax check:

python -m compileall context_engine

Generate the local stress-test fixture:

python test_generator.py
context-engine test_env -o test_env_context.txt

📄 Package Metadata

• Package name: context-engine-zain333
• Python package: context_engine
• Entry point: context-engine = context_engine.main:main
• Python version: >=3.10
• Runtime dependencies: none beyond the Python standard library