A wrapper for pySolr
Project description
Install
pip install -r requirements.txt
pip install .
Tests
python -m pytest
PEP
pep8
Usage
from pysolrwrapper.core import SolrQuery
from pysolrwrapper.filter import (FilterText, FilterColumnEnum)
result = SolrQuery("localhost:9983", "omop-concept")\
.set_type_edismax()\
.select(["concept_id","concept_name"])\
.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")\
.limit(2)\
.run()
Results
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}]
}
}
Project details
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