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A wrapper for pySolr

Project description


pip install -r requirements.txt
pip install .


python -m pytest




from pysolrwrapper.core import SolrQuery
from pysolrwrapper.filter import (FilterText, FilterColumnEnum)

    result = SolrQuery("localhost:9983", "omop-concept")\
        .add_filter(FilterText(["disease lethal", "patient"]))\
        .add_filter(FilterColumnEnum("standard_concept", ["c","s"]))\
        .add_filter(FilterColumnEnum("standard_concept", ["*"]))\
        .highlight(["concept_name", "synonym_concept_name"])\
        .facet(-1, ["standard_concept", "domain_id"])\
        .sort("score", "asc")\
        .sort("concept_id", "asc")\


Depending on what you ask for, the result is a dictionnary with this format:

{'num_shown': 2,
 'num_found': 7052,
 'docs': [{'concept_id': '42742376',
           'concept_name': 'Molecular pathology procedure, Level 7'},
          {'concept_id': '2107646',
           'concept_name': 'Direct repair of aneurysm, pseudoaneurysm, or excision(partial or total) and graft insertion, with or without patch graft for ruptured aneurysm, abdominal aorta involving iliac vessels(common, hypogastric, external)'}],
    'facet_fields': {'standard_concept': [{'s': 6263},
                                          {'c': 789}],
                     'domain_id': [{'condition': 2870},
                                   {'measurement': 1621},
                                   {'observation': 1481},
                                   {'drug': 659},
                                   {'procedure': 303},
                                   {'meas': 100},
                                   {'value': 100},
                                   {'provider': 13},
                                   {'specialty': 13},
                                   {'device': 3}]

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