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Python module to easily run scripts in modular frameworks Written by pedrohenriquecoimbra

Project description

FrameworkAPI, a Modular Framework Runner

Shows an illustrated sun in light mode and a moon with stars in dark mode.

A Python module for creating fully modular and extensible workflows by combining scripts in different languages, managing YAML-based configurations, and offering an API for seamless integration.


Features

🚀 Script Runner

Easily run scripts written in Python, R, or Julia with dynamic argument support.

  • Automatic Language Detection: Identify script type and invoke the appropriate runtime (e.g., python, Rscript, julia).
  • Flexible Argument Passing: Pass command-line arguments directly to scripts for parameterized execution.
  • Robust Error Handling: Logs and handles errors during script execution.

📜 YAML Configuration Handler

Effortlessly parse, validate, and manage YAML files with cross-references.

  • Dynamic Parsing: Load YAML configurations into Python objects.
  • Cross-Reference Resolution: Automatically resolve dependencies between keys within a single file or across multiple files.
  • Flexible Configuration Management: Merge or extend YAML files to build modular workflows.

🛠 High-Level API for Script Execution

A simple API to link scripts and configurations for easy execution.

  • Script Discovery: Fetch script paths and parameters from the YAML configuration.
  • Workflow Automation: Execute scripts dynamically based on configuration settings.
  • Extensibility: Add hooks for pre- and post-processing or extend functionality as needed.

Installation

pip install FrameworkAPI

Quickstart

1️⃣ Define Your Configuration (config.yaml)

scripts:
  preprocess:
    path: "scripts/preprocess.py"
    args:
      input_file: "data/raw.csv"
      output_file: "data/processed.csv"
  analyze:
    path: "scripts/analyze.R"
    args:
      input_file: "data/processed.csv"
      report_file: "results/report.html"

workflow:
  - preprocess
  - analyze

2️⃣ Run Scripts Using the API

from FrameworkAPI import FrameworkAPI

# Load configuration
framework = FrameworkAPI("config.yaml")

# Execute the entire workflow
framework.run_workflow()

# Or execute a single script by name
framework.run_script("preprocess")

3️⃣ Seamlessly Handle Multiple Languages

The module automatically detects the script type and runs the appropriate interpreter:

  • .pypython
  • .RRscript
  • .jljulia

Directory Structure

project/
├── config.yaml          # Your YAML configuration file
├── scripts/             # Directory for scripts
│   ├── preprocess.py    # Python script
│   ├── analyze.R        # R script
├── results/             # Output directory
└── main.py              # Main Python script

Advanced Features

  • Cross-References in YAML: Use references to reuse values across the configuration.

    data_dir: "data/"
    scripts:
      preprocess:
        input_file: "${data_dir}raw.csv"
        output_file: "${data_dir}processed.csv"
    
  • Custom Hooks: Add pre- or post-processing logic in Python for additional control.


Contributing

We welcome contributions! Please submit a pull request or open an issue for bug reports, feature requests, or questions.


License

This project is licensed under the MIT License.


Contact

Feel free to reach out for support or collaboration:


Happy scripting! ✨

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