mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
101 lines
3.2 KiB
Python
101 lines
3.2 KiB
Python
|
from typing import Dict, Tuple, Union
|
||
|
|
||
|
from langchain_core.structured_query import (
|
||
|
Comparator,
|
||
|
Comparison,
|
||
|
Operation,
|
||
|
Operator,
|
||
|
StructuredQuery,
|
||
|
Visitor,
|
||
|
)
|
||
|
|
||
|
|
||
|
class ElasticsearchTranslator(Visitor):
|
||
|
"""Translate `Elasticsearch` internal query language elements to valid filters."""
|
||
|
|
||
|
allowed_comparators = [
|
||
|
Comparator.EQ,
|
||
|
Comparator.GT,
|
||
|
Comparator.GTE,
|
||
|
Comparator.LT,
|
||
|
Comparator.LTE,
|
||
|
Comparator.CONTAIN,
|
||
|
Comparator.LIKE,
|
||
|
]
|
||
|
"""Subset of allowed logical comparators."""
|
||
|
|
||
|
allowed_operators = [Operator.AND, Operator.OR, Operator.NOT]
|
||
|
"""Subset of allowed logical operators."""
|
||
|
|
||
|
def _format_func(self, func: Union[Operator, Comparator]) -> str:
|
||
|
self._validate_func(func)
|
||
|
map_dict = {
|
||
|
Operator.OR: "should",
|
||
|
Operator.NOT: "must_not",
|
||
|
Operator.AND: "must",
|
||
|
Comparator.EQ: "term",
|
||
|
Comparator.GT: "gt",
|
||
|
Comparator.GTE: "gte",
|
||
|
Comparator.LT: "lt",
|
||
|
Comparator.LTE: "lte",
|
||
|
Comparator.CONTAIN: "match",
|
||
|
Comparator.LIKE: "match",
|
||
|
}
|
||
|
return map_dict[func]
|
||
|
|
||
|
def visit_operation(self, operation: Operation) -> Dict:
|
||
|
args = [arg.accept(self) for arg in operation.arguments]
|
||
|
|
||
|
return {"bool": {self._format_func(operation.operator): args}}
|
||
|
|
||
|
def visit_comparison(self, comparison: Comparison) -> Dict:
|
||
|
# ElasticsearchStore filters require to target
|
||
|
# the metadata object field
|
||
|
field = f"metadata.{comparison.attribute}"
|
||
|
|
||
|
is_range_comparator = comparison.comparator in [
|
||
|
Comparator.GT,
|
||
|
Comparator.GTE,
|
||
|
Comparator.LT,
|
||
|
Comparator.LTE,
|
||
|
]
|
||
|
|
||
|
if is_range_comparator:
|
||
|
value = comparison.value
|
||
|
if isinstance(comparison.value, dict) and "date" in comparison.value:
|
||
|
value = comparison.value["date"]
|
||
|
return {"range": {field: {self._format_func(comparison.comparator): value}}}
|
||
|
|
||
|
if comparison.comparator == Comparator.CONTAIN:
|
||
|
return {
|
||
|
self._format_func(comparison.comparator): {
|
||
|
field: {"query": comparison.value}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
if comparison.comparator == Comparator.LIKE:
|
||
|
return {
|
||
|
self._format_func(comparison.comparator): {
|
||
|
field: {"query": comparison.value, "fuzziness": "AUTO"}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
# we assume that if the value is a string,
|
||
|
# we want to use the keyword field
|
||
|
field = f"{field}.keyword" if isinstance(comparison.value, str) else field
|
||
|
|
||
|
if isinstance(comparison.value, dict):
|
||
|
if "date" in comparison.value:
|
||
|
comparison.value = comparison.value["date"]
|
||
|
|
||
|
return {self._format_func(comparison.comparator): {field: comparison.value}}
|
||
|
|
||
|
def visit_structured_query(
|
||
|
self, structured_query: StructuredQuery
|
||
|
) -> Tuple[str, dict]:
|
||
|
if structured_query.filter is None:
|
||
|
kwargs = {}
|
||
|
else:
|
||
|
kwargs = {"filter": [structured_query.filter.accept(self)]}
|
||
|
return structured_query.query, kwargs
|