mirror of
https://github.com/hwchase17/langchain.git
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a26c786bc5
- **Description:** Changed the comparator to use a wildcard query instead of match. This modification allows for partial text matching on analyzed fields, which improves the flexibility of the search by performing full-text searches that aren't limited to exact matches. - **Issue:** The previous implementation used a match query, which performs exact matches on analyzed fields. This approach limited the search capabilities by requiring the query terms to align with the indexed text. The modification to use a wildcard query instead addresses this limitation. The wildcard query allows for partial text matching, which means the search can return results even if only a portion of the term matches the text. This makes the search more flexible and suitable for use cases where exact matches aren't necessary or expected, enabling broader full-text searches across analyzed fields. In short, the problem was that match queries were too restrictive, and the change to wildcard queries enhances the ability to perform partial matches. - **Dependencies:** none - **Twitter handle:** @Andre_Q_Pereira --------- Co-authored-by: André Quintino <andre.quintino@tui.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>
105 lines
3.2 KiB
Python
105 lines
3.2 KiB
Python
from typing import Dict, Tuple, Union
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from langchain_core.structured_query import (
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Comparator,
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Comparison,
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Operation,
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Operator,
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StructuredQuery,
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Visitor,
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)
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class OpenSearchTranslator(Visitor):
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"""Translate `OpenSearch` internal query domain-specific
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language elements to valid filters."""
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allowed_comparators = [
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Comparator.EQ,
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Comparator.LT,
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Comparator.LTE,
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Comparator.GT,
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Comparator.GTE,
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Comparator.CONTAIN,
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Comparator.LIKE,
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]
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"""Subset of allowed logical comparators."""
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allowed_operators = [Operator.AND, Operator.OR, Operator.NOT]
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"""Subset of allowed logical operators."""
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def _format_func(self, func: Union[Operator, Comparator]) -> str:
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self._validate_func(func)
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comp_operator_map = {
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Comparator.EQ: "term",
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Comparator.LT: "lt",
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Comparator.LTE: "lte",
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Comparator.GT: "gt",
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Comparator.GTE: "gte",
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Comparator.CONTAIN: "wildcard",
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Comparator.LIKE: "fuzzy",
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Operator.AND: "must",
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Operator.OR: "should",
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Operator.NOT: "must_not",
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}
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return comp_operator_map[func]
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def visit_operation(self, operation: Operation) -> Dict:
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args = [arg.accept(self) for arg in operation.arguments]
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return {"bool": {self._format_func(operation.operator): args}}
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def visit_comparison(self, comparison: Comparison) -> Dict:
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field = f"metadata.{comparison.attribute}"
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if comparison.comparator in [
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Comparator.LT,
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Comparator.LTE,
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Comparator.GT,
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Comparator.GTE,
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]:
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if isinstance(comparison.value, dict):
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if "date" in comparison.value:
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return {
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"range": {
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field: {
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self._format_func(
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comparison.comparator
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): comparison.value["date"]
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}
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}
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}
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else:
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return {
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"range": {
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field: {
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self._format_func(comparison.comparator): comparison.value
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}
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}
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}
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if comparison.comparator == Comparator.LIKE:
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return {
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self._format_func(comparison.comparator): {
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field: {"value": comparison.value}
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}
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}
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field = f"{field}.keyword" if isinstance(comparison.value, str) else field
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if isinstance(comparison.value, dict):
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if "date" in comparison.value:
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comparison.value = comparison.value["date"]
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return {self._format_func(comparison.comparator): {field: comparison.value}}
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def visit_structured_query(
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self, structured_query: StructuredQuery
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) -> Tuple[str, dict]:
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if structured_query.filter is None:
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kwargs = {}
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else:
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kwargs = {"filter": structured_query.filter.accept(self)}
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return structured_query.query, kwargs
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