unifier 0.1.18

A Python package to interact with the Unifier API.

Unifier

Unifier is a Python package that provides a simple interface to interact with the Unifier API, allowing for Point-In-Time and streaming data access.

Features

• Query the Unifier API for data.
• Retrieve data in JSON format.
• Convert API responses into pandas DataFrames for easy data manipulation and analysis.
• Efficiently replicate large datasets to local storage using rclone integration.

Installation

You can install the package via pip:

pip install unifier

To use the Data Replication feature, it is recommended to install rclone for better performance. If rclone is not available, the package will automatically fall back to a native Python implementation for downloads.

Usage

Here's a basic example of how to use the unifier package:

from unifier import unifier

# Set your user and token
unifier.user = 'your_username'
unifier.token = 'your_api_token'

# Query the API
response = unifier.query(name='your_dataset_name')

# Convert the response to a DataFrame
df = unifier.get_dataframe(name='your_dataset_name')

print(df.head())

# Get list asof_date available for a dataset
dates_df = unifier.get_asof_dates(name='dataset_name')
print(dates_df.head())

# Replicate a large dataset to a local folder
# Note: uses rclone if installed, otherwise uses native python download
unifier.replicate(
    name="large_dataset_name",
    target_location="./data/downloads",
    back_to="2023-01-01",    # Optional: fetch history back to this date
    up_to="2024-12-16",    # Optional: fetch history up to this date
    bandwidth_limit=20       # Optional: limit download speed to 20MB/s
)

Configuration

Before using the package, ensure you set your user and token attributes in the unifier class to authenticate with the API.

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

Contributing

Contributions are welcome! Please read the contributing guidelines for more information.

Support

For support, please contact [e-mail].

Acknowledgments

• Thanks to the team at Exponential Tech for their support and contributions.