QueryModifier#

class QueryModifier(config)#

Bases: BatchedStep

Modify raw query using metadata collected from prior steps.

Parameters

step (str, "app") – app
type (str, "query_processing") – query_processing
name (str, "query_modifier") – query_modifier
raw_input_field (str, "query") – raw user query to modify
term_mutations_metadata (list, ["term_expansion_mutations","pos_mutations"]) – mutations applied, order matters
output_field (str, "enriched_query") – the modified query string
path (str, ".") – schema expects path where step file is located. not used actually

Attributes Summary

Methods Summary

`append_string`(raw_query_string, mutations)	Concatenate mutations (act as filter) with raw-query-string.
`process_doc`(doc)	Process a document
`replace_by_key_value`(raw_query_string, mutations)	Apply mutations as defined from prior steps on raw_query_string.

Attributes Documentation

REMOVE_PUNCTUATION = '!"\\#\\$%\\&\'\$\$\\*\\+,\\-\\./:;<=>\\?@\\[\\\\\\]\\^_`\\{\\|\\}\\~'#

Methods Documentation

static append_string(raw_query_string, mutations)#: Concatenate mutations (act as filter) with raw-query-string.

process_doc(doc)#

Process a document

replace_by_key_value(raw_query_string, mutations)#

Apply mutations as defined from prior steps on raw_query_string.

Note: The whole approach of mutation-dicts & regex-matching on the raw-query-string is not ideal.: Reason for that approach is to consider/keep to user’s original query syntax in place, like logical grouping clauses. user query: (phone AND apple) possible rewritten: (phone^10 AND (apple^5 OR “Apple Inc.”^0.7)