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A python wrapper around the HyP3 API

Project description

HyP3 SDK

A python wrapper around the HyP3 API

Usage

The HyP3 object

The HyP3 object interactions with the HyP3 API are done using an instance of the HyP3 class

from hyp3_sdk import HyP3

api = HyP3()  # Must have credentials for urs.earthdata.nasa.gov in a .netrc file for this to work

If you want to use an API other then the one at https://hyp3-api.asf.alaska.edu, you may provide the URL (including scheme) as a parameter

from hyp3_sdk import HyP3

api = HyP3('https://hyp3.example.com')

If you want to pass in a Requests Session object for the API to use, it must first be authenticated and then it can be passed into the API

import requests
from hyp3_sdk import HyP3

session = requests.Session()
session.get(...)  # Authenticate

api = HyP3(authenticated_session=session)

Getting jobs

The get_jobs method with request all jobs from the API and return them in a list of dictionaries

from hyp3_sdk import HyP3

api = HyP3()

response = api.get_jobs()
Parameters:
  • start: datetime -> requests only jobs submitted after given time
  • end: datetime -> requests only jobs submitted before given time
  • status: str -> request based on status (SUCCEEDED, FAILED, RUNNING, PENDING)
  • name: str -> requests only jobs that have this name

Submitting jobs

The submit_jobs method will submit jobs to the API for processing

from hyp3_sdk import HyP3, make_rtc_gamma_job

api = HyP3()

jobs = [make_rtc_gamma_job('job_name', 'granule_name')]

response = api.submit_jobs(jobs)
Parameters
  • jobs: list[Job] -> list of job objects to submit to API

The Job object

Job objects represent a job to be submitted to the API, they are made by calling factory functions

Job factories

  • make_rtc_gamma_job

    Parameters
    • job_name: str -> name of job
    • granule: str -> name of granule to process
    • extra_parameters: dict -> extra parameters and processing options
  • make_insar_gamma_job

    Parameters
    • job_name: str -> name of job
    • granule1: str -> name of primary granule to process
    • granule2: str -> name of secondary granule to process
    • extra_parameters: dict -> extra parameters and processing options
  • make_autorift_job

    Parameters
    • job_name: str -> name of job
    • granule1: str -> name of primary granule to process
    • granule2: str -> name of secondary granule to process
    • extra_parameters: dict -> extra parameters and processing options

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