tagmapper 0.9.3

Python wrapper for Equinor SPD tag mapping database

tagmapper-sdk

Python package to get timeseries and constant value mappings for data models from SDP tag mapping library.

It supports SDP defined models for Separators and Wells as well as generic models with or without a defined schema.

Authentication is done using Azure credentials and bearer tokens. Access to Equinor internal network, e.g., office network or VPN Location_All, is required to access data.

Use

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

   from tagmapper import Well    
   # Create well object
   w = Well("NO 30/6-E-2")
   # # Print the default report
   w.print_report()
   # # Print a formatted report 
   #w.print_formatted_report()
   

2. Getting a generic model with no schema from API:
   See demo. Example usage:

   from tagmapper import Model
   
   available_models = Model.get_model_names()
   model_owner = available_models[0]["model_owner"]
   model_name = available_models[0]["model_name"]
   object_names = Model.get_object_names(model_owner=model_owner, model_name=model_name)
   
   # Fetch a model from api
   mod = Model.get_model(
   model_owner=model_owner,
   model_name=model_name,
   object_name=object_names[0])
   mod.print_report()
   

Installing

Install from pypi using pip.
pip install tagmapper

Developing

Clone repo and run poetry install to install dependencies.

Testing and code coverage

Run tests and check coverage using pytest-cov poetry run pytest --cov=. --cov-report=xml:coverage.xml

Compare coverage with modified lines against main branch diff-cover coverage.xml --compare-branch=origin/main