def _link_results_analyzer(project_id, data_params, module_params):
'''
Runs the link results analyzer module
wrapper around ESNormalizer.infer ?
ARGUMENTS (GET):
project_id: ID for "normalize" project
ARGUMENTS (POST):
- data_params: {
"module_name": module to fetch from
"file_name": file to fetch
}
- (module_params): {
"col_matches": dict like {"source": col_source, "ref": col_ref}
A pair of columns that can be used a joining key:
"lower": bool (defaults to False)
Whether or not the values of the joining should be lowercased
before joining
}
'''
if module_params is None:
module_params = dict()
proj = ESLinker(project_id=project_id)
proj.load_data(data_params['module_name'], data_params['file_name'])
result = proj.analyze_results(module_params)
# Write log
proj._write_log_buffer(False)
return result
def _link_results_analyzer(project_id, data_params, *argv):
'''
Runs the link results analyzer module
wrapper around ESNormalizer.infer ?
ARGUMENTS (GET):
project_id: ID for "normalize" project
ARGUMENTS (POST):
- data_params: {
"module_name": module to fetch from
"file_name": file to fetch
}
'''
proj = ESLinker(project_id=project_id)
proj.load_data(data_params['module_name'], data_params['file_name'])
result = proj.infer('link_results_analyzer', {})
# Write log
proj._write_log_buffer(False)
return result
