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Python wrapper for SPD tag mapping database

Project description

tagmapper-sdk SNYK dependency check

Prototype python package to get IMS-tag mappings for data models for separators and wells.

Authentication is done using Azure credentials and bearer tokens.

Use

  1. See demo. Or try the following simple code.

    from tagmapper import Well
    w = Well("NO 30/6-E-2")  
    
  2. Fetching the base view (well_attributes_mapped_to_timeseries_base) from the API:
    Refer to examples/demo_api_func.py:
    Fetch data for all facilities:

    from tagmapper.base_model import get_data_base_well
    df = get_data_base_well(limit=100000, offset=0) 
    print(df)
    

    Fetch data for selected facilities:

    from tagmapper.base_model import get_data_base_well
    facility_names = ['STATFJORD B','JOHAN SVERDRUP RP']
    df = get_data_base_well(facility_names, limit=10000, offset=0) # More facilit
    print(df)
    

Installing

Install from pypi using pip.
pip install tagmapper

Developing

Clone repo and run poetry install to install dependencies.

Testing

Run tests and check coverage using pytest-cov poetry run pytest --cov=tagmapper test/ --cov-report html

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