Introduction to Nitpick
Nitpick is a powerful tool that ensures consistency and adherence to predefined configurations in your projects. It helps enforce coding standards, maintain uniformity, and avoid errors by automating checks with ease.
Comprehensive Guide to Nitpick APIs
1. Initializing Nitpick
from nitpick import Nitpick config_path = "path/to/config" nitpick = Nitpick(config_path)
2. Configuring the Environment
nitpick.configure_environment({ "python_version": "3.8", "framework": "Flask" })
3. Adding Project Dependencies
nitpick.add_dependencies(["requests", "pytest"])
4. Enforcing Style Guidelines
nitpick.enforce_styles({ "indentation": "4 spaces", "max_line_length": 80 })
5. Checking for Compliance
compliance_report = nitpick.check_compliance() print(compliance_report)
6. Ignoring Specific Rules
nitpick.ignore_rules(["E501", "W503"])
7. Generating Configuration File
nitpick.generate_config_file("output/config.yaml")
App Example with Nitpick
Let’s create a simple Flask app and integrate Nitpick to ensure our project adheres to the specified standards.
1. Setting up the Project
mkdir my_flask_app cd my_flask_app python -m venv venv source venv/bin/activate pip install flask nitpick
2. Creating the App
from flask import Flask app = Flask(__name__) @app.route('/') def home(): return "Welcome to My Flask App" if __name__ == "__main__": app.run(debug=True)
3. Configuring Nitpick
from nitpick import Nitpick nitpick = Nitpick("./config.yaml") nitpick.configure_environment({ "python_version": "3.8", "framework": "Flask" }) nitpick.add_dependencies(["flask"]) nitpick.enforce_styles({ "indentation": "4 spaces", "max_line_length": 80 }) compliance_report = nitpick.check_compliance() print(compliance_report)
4. Running the App with Nitpick
if compliance_report["compliant"]: app.run(debug=True) else: print("Compliance issues found:", compliance_report["issues"])
With the power of Nitpick, your projects will be consistent, error-free, and adhere to best practices effortlessly.
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