fb_data

fb_data is a Python package maintained by the Data team at FishingBooker which simplifies data workflows by providing helper functions for interacting with:

• Snowflake: Streamlined connection, query execution, Pandas integration, and privilege management.
• Google Analytics (GA4): Query analytics data in raw or Pandas DataFrame format.
• Google Search Console: Extract search performance data efficiently.

📦 Installation

Install the package using pip:

pip install fb_data

📚 Supported Modules

1. Snowflake Helper

The Snowflake module provides methods to interact with your Snowflake database.

Features:

• Easy connection to Snowflake without the need to import multiple libraries.
• Password and key-pair authentication: pass user/password, or private_key_pem (PEM string, e.g. from dbutils.secrets.get) with an optional private_key_passphrase.
• Execute SQL queries with results in raw or Pandas DataFrame format.
• Write Pandas DataFrames to Snowflake tables.
• Easily manages database, schema, and object privileges, allowing multiple commands to be executed in a single execution.

2. Google Analytics Helper

Simplifies interactions with Google Analytics API (GA4).

Features:

• Query analytics data with custom dimensions and metrics.
• Retrieve results in raw or Pandas DataFrame format.

3. Google Search Console Helper

Provides easy access to Google Search Console API.

Features:

• Extract search performance data for specific dimensions and metrics.
• Retrieve results in raw or Pandas DataFrame format.
• Handle large data extractions with pagination support.

🤝 Contributing

• Ensure you have Poetry installed for dependency management and packaging.
• This project follows Semantic Versioning 2.0.0. When making changes, increment the version number in the pyproject.toml file based on the nature of the change:
  • Patch: Bug fixes or minor updates (e.g., 1.0.0 → 1.0.1).
  • Minor: New features that are backward-compatible (e.g., 1.0.0 → 1.1.0).
  • Major: Breaking changes (e.g., 1.0.0 → 2.0.0).