git-logger 0.2

Log preserved history contents of csv or json file in duckdb

git-logger

Python package and CLI tool to log the historical versions of a file preserved in git repository to a DuckDB database.

The package is influenced and inspired heavily by Simon Willison's git-history package.

Installation

Install this library using pip:

pip install git-logger

Python API Usage

The GitLogger class provides a set of functions to log the history of a file in a Git repository to a DuckDB database.

Here's an example of how to use the GitLogger class:

from git_logger.git_history import GitLogger

# Initialize the GitLogger
logger = GitLogger(
    db_name='my_database.db',
    table_name='my_table',
    filepath='path/to/your/file.txt',
    repo_path='path/to/your/git/repo',
    data_type='json'  # or 'csv'
)

# Log the git history to the DuckDB database
logger.log_git_history()

The GitLogger class takes the following parameters:

• db_name: The name of the DuckDB database file.
• table_name: The name of the table to store the git history.
• filepath: The path to the file in the Git repository.
• repo_path: The path to the Git repository (default is the current directory).
• data_type: The format of the file, either 'json' or 'csv' (default is 'json').

The log_git_history() method retrieves the git history of the specified file, parses the content of the file, and inserts the data into the DuckDB database. The method also creates the database and table if they don't already exist.

The utils.py file provides two helper functions:

• parse_schema(d: dict): This function takes a dictionary of data and returns a dictionary of the inferred data types for each key.
• parse_csv(data): This function takes a byte or string representation of CSV data and returns a list of lists.

The get_hash(db_name: str, tbl_name: str) function retrieves a list of unique commit hashes from the specified table in the DuckDB database.

Format data callback

The GitLogger class in git_logger/git_history.py provides a way to add custom callbacks to format the data before it is inserted into the DuckDB database. The callback method in the GitLogger class allows you to register these callbacks.

Here's an example of how you can add a custom callback to format the data:

class MyCallback(Callback):
    order = 0  # The order in which the callback is executed

    def format_data(self, data):
        # Customize the data format here
        data.data = [row for row in data.data if row['some_column'] > 0]

logger = GitLogger(
    db_name='my_database.db',
    table_name='my_table',
    filepath='path/to/your/file.txt',
    repo_path='path/to/your/git/repo',
    data_type='json',
    cbs=[MyCallback()]
)

logger.log_git_history()

In this example, we define a MyCallback class that inherits from the Callback class. The order attribute determines the order in which the callback is executed (lower values are executed first).

The format_data method is the callback that is executed when the callback('format_data') method is called in the GitLogger class. In this example, we filter the data to only include rows where the some_column value is greater than 0.

You can add multiple callbacks by passing a list of callback instances to the cbs parameter of the GitLogger constructor.

CLI Usage

The git-log cli utility allows you to retrieve the git history of a specified file, parse its content, and insert the data into a DuckDB database from the command line.

Usage:

git-log [OPTIONS] FILE_PATH DB_NAME

Arguments:

• FILE_PATH: The path to the file in the Git repository.
• DB_NAME: The name of the DuckDB database file.

Options:

• --table_name TEXT: The name of the table to store the data (default is "hist").
• --repo_path TEXT: The path to the Git repository (default is the current directory).
• --version: Show the version and exit.

Example:

git-log path/to/your/file.json file_history.db --table_name my_table

This will retrieve the git history of the file.json file in the Git repository located at the current directory, parse the JSON content, and insert the data into the my_table table in the file_history.db DuckDB database.

Development

To contribute to this library, first checkout the code. Then create a new virtual environment:

cd git-logger
python -m venv venv
source venv/bin/activate

Now install the dependencies and test dependencies:

pip install -e '.[test]'

To run the tests:

pytest