factorylint 0.1.5

A CLI tool to lint Azure Data Factory resources for naming convention compliance

🏭 FactoryLint

FactoryLint is a CLI tool to lint your Azure Data Factory (ADF) resources and ensure they follow consistent naming conventions. It checks pipelines, datasets, linked services, and triggers, and generates clear, visual reports.

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✨ Features

• ✅ Lint ADF resources: Pipeline, Dataset, Linked Service, Trigger
• ⚙️ Fully customizable rules via rules_config.json
• 📊 Visual error reports in the terminal
• 💾 Saves JSON reports for further inspection
• 🛠 Easy CLI usage

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📦 Installation

Install FactoryLint via pip:

pip install factorylint

Or install locally for development:

git clone <repo-url>
cd FactoryLint
pip install -e .

🚀 Usage

Initialize FactoryLint

Create the .adf-linter directory:

factorylint init

You’ll see a friendly welcome message and confirmation that the directory was created.

Lint ADF resources

Lint all ADF resources in a folder, using the default or custom configuration:

factorylint lint --resources /path/to/adf/resources

Specify a custom rules configuration:

factorylint lint --resources /path/to/adf/resources --config /path/to/rules_config.json

📝 Configuration

The rules_config.json file defines naming conventions for your ADF resources. You can edit this file to match your project standards. FactoryLint validates this file before linting.

Example structure:

{
  "Pipeline": {
    "patterns": {
      "master": "^Master_.*$",
      "sub": "^Sub_.*$"
    }
  },
  "Dataset": {
    "prefix": "DS_",
    "formats": { "Parquet": "PARQ", "CSV": "CSV" },
    "allowed_chars": "^[A-Z0-9_]+$",
    "allowed_abbreviations": [
      { "Type": "Azure", "Service": "Blob Storage", "Abbreviation": "ABLB" }
    ]
  }
  // ... other rules
}

📊 Output

• Console: Colored, visual feedback for each resource
• JSON report: Saved by default in .adf-linter/linter_results.json

Example:

❌ dataset/DS_INVALID_NAME.json
   - Dataset detail part 'invalidName' must be uppercase letters, numbers or underscores only
✅ pipeline/Master_ExamplePipeline.json passed

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.