ARS-Test-Runner 0.2.1

Python package for ARS pass/fail test

Translator ARS Pass/Fail Testing

This testing framework performs single level pass/Fail analysis on queries it receives from the Test Runner.

ARS_Test Implementation

pip install ARS_Test_Runner 

CLI

The command-line interface is the easiest way to run the ARS_Test_Runner After installation, simply type ARS_Test_Runner --help to see required input arguments & options

• ARS_Test_Runner

  • env : the environment to run the queries against (dev|ci|test|prod)
  • predicate: treats
  • runner_setting: creative mode inidicator (inferred)
  • expected_output: TopAnswer|Acceptable|BadButForgivable|NeverShow
  • biolink_object_aspect_qualifier: activity_or_abundance
  • biolink_object_direction_qualifier: increased/decreased
  • input_category: input type category (Gene/Chemical)
  • input_curie: normalized curie taken from assest.csv
  • output_curie: target output curie to do analysis on

• example:

  • for single output (mvp2)
    • ARS_Test_Runner --env 'test' --predicate 'affects' --runner_setting '["inferred"]' --expected_output '["TopAnswer"]' --biolink_object_aspect_qualifier 'activity_or_abundance' --biolink_object_direction_qualifier 'increased' --input_category 'biolink:Gene' --input_curie 'NCBIGene:23394' --output_curie '["PUBCHEM.COMPOUND:3821"]'
  • for multi outputs (mvp1)
    • ARS_Test_Runner --env 'ci' --predicate 'treats' --runner_setting '["inferred"]' --expected_output '["TopAnswer","TopAnswer"]' --input_category 'biolink:Disease' --input_curie 'MONDO:0005301' --output_curie '["PUBCHEM.COMPOUND:107970","UNII:3JB47N2Q2P"]'

python

import asyncio
from ARS_Test_Runner.semantic_test import run_semantic_test
asyncio.run(run_semantic_test('ci','treats',['inferred'], ['TopAnswer','TopAnswer'],'','','biolink:Disease', 'MONDO:0005301',['PUBCHEM.COMPOUND:107970','UNII:3JB47N2Q2P']))
asyncio.run(run_semantic_test('ci','affects',['inferred'], ['TopAnswer'],'activity_or_abundance','increased','biolink:Gene' ,'NCBIGene:23394',['PUBCHEM.COMPOUND:3821']))

OR

python semantic_test.py --env 'ci' --predicate 'treats' --runner_setting 'inferred' --expected_output 'TopAnswer' 'TopAnswer' --input_category 'biolink:Disease' --input_curie 'MONDO:0005301' --output_curie 'PUBCHEM.COMPOUND:107970' 'UNI:3JB47N2Q2P'
python semantic_test.py --env 'ci' --predicate 'affects' --runner_setting 'inferred' --expected_output 'TopAnswer' --biolink_object_aspect_qualifier 'activity_or_abundance' --biolink_object_direction_qualifier 'increased' --input_category 'biolink:Gene' --input_curie 'NCBIGene:23394' --output_curie 'PUBCHEM.COMPOUND:3821'