pantomath-sdk 0.1.0

Send custom, realtime logs to Pantomath through the Pantomath Python SDK

Pantomath SDK

Installation and Setup

1. Install the Pantomath SDK for Python:

   $ pip install pantomath-sdk
   

   This is the preferred method to install the Pantomath SDK, as it will always install the most recent stable release.

   If you don't have pip installed, this Python installation guide can guide you through the process.

2. Add configuration ENVs to your runtime:

   PANTOMATH_API_BASE_URL = ******,
   PANTOMATH_API_KEY = ******
   

Example

from pantomath_sdk import PantomathSDK, AstroTask, S3Bucket, SnowflakePipe
from time import sleep


def main():
    # Create an instance of the PantomathSDK
    pantomath_sdk = PantomathSDK(api_key="****")

    # Construct your job
    astro_task = AstroTask(
        name="astro_task_1",
        dag_name="astro_dag_1",
        host_name="astro_host_1"
    )

    # Construct your source and target data sets
    source_data_sets = [
        S3Bucket(s3_bucket="s3://some-bucket-1/file.csv")
    ]

    target_data_sets = [
        SnowflakePipe(
            name="snowpipe_1",
            schema="snowflake_schema_1",
            database="snowflake_database_1",
            port=443,
            host="snowflake_host_1.example.com",
        )
    ]

    # Capture your job run
    job_run = pantomath_sdk.new_job_run(
        job=astro_task,
        source_data_sets=source_data_sets,
        target_data_sets=target_data_sets,
    )
    job_run.log_start(message="Starting Astro task")
    for i in range(5):
        job_run.log_progress(
            message=f"Completed step {i + 1}",
            records_effected=i * 100
        )
        sleep(2)
    job_run.log_success(message="Succeeded!")


if __name__ == '__main__':
    main()