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langchain/libs/community/langchain_community/query_constructors/redis.py

104 lines
3.3 KiB
Python

multiple: langchain 0.2 in master (#21191) 0.2rc migrations - [x] Move memory - [x] Move remaining retrievers - [x] graph_qa chains - [x] some dependency from evaluation code potentially on math utils - [x] Move openapi chain from `langchain.chains.api.openapi` to `langchain_community.chains.openapi` - [x] Migrate `langchain.chains.ernie_functions` to `langchain_community.chains.ernie_functions` - [x] migrate `langchain/chains/llm_requests.py` to `langchain_community.chains.llm_requests` - [x] Moving `langchain_community.cross_enoders.base:BaseCrossEncoder` -> `langchain_community.retrievers.document_compressors.cross_encoder:BaseCrossEncoder` (namespace not ideal, but it needs to be moved to `langchain` to avoid circular deps) - [x] unit tests langchain -- add pytest.mark.community to some unit tests that will stay in langchain - [x] unit tests community -- move unit tests that depend on community to community - [x] mv integration tests that depend on community to community - [x] mypy checks Other todo - [x] Make deprecation warnings not noisy (need to use warn deprecated and check that things are implemented properly) - [x] Update deprecation messages with timeline for code removal (likely we actually won't be removing things until 0.4 release) -- will give people more time to transition their code. - [ ] Add information to deprecation warning to show users how to migrate their code base using langchain-cli - [ ] Remove any unnecessary requirements in langchain (e.g., is SQLALchemy required?) --------- Co-authored-by: Erick Friis <erick@langchain.dev>
5 months ago
from __future__ import annotations
from typing import Any, Tuple
from langchain_core.structured_query import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
Visitor,
)
from langchain_community.vectorstores.redis import Redis
from langchain_community.vectorstores.redis.filters import (
RedisFilterExpression,
RedisFilterField,
RedisFilterOperator,
RedisNum,
RedisTag,
RedisText,
)
from langchain_community.vectorstores.redis.schema import RedisModel
_COMPARATOR_TO_BUILTIN_METHOD = {
Comparator.EQ: "__eq__",
Comparator.NE: "__ne__",
Comparator.LT: "__lt__",
Comparator.GT: "__gt__",
Comparator.LTE: "__le__",
Comparator.GTE: "__ge__",
Comparator.CONTAIN: "__eq__",
Comparator.LIKE: "__mod__",
}
class RedisTranslator(Visitor):
"""Visitor for translating structured queries to Redis filter expressions."""
allowed_comparators = (
Comparator.EQ,
Comparator.NE,
Comparator.LT,
Comparator.LTE,
Comparator.GT,
Comparator.GTE,
Comparator.CONTAIN,
Comparator.LIKE,
)
"""Subset of allowed logical comparators."""
allowed_operators = (Operator.AND, Operator.OR)
"""Subset of allowed logical operators."""
def __init__(self, schema: RedisModel) -> None:
self._schema = schema
def _attribute_to_filter_field(self, attribute: str) -> RedisFilterField:
if attribute in [tf.name for tf in self._schema.text]:
return RedisText(attribute)
elif attribute in [tf.name for tf in self._schema.tag or []]:
return RedisTag(attribute)
elif attribute in [tf.name for tf in self._schema.numeric or []]:
return RedisNum(attribute)
else:
raise ValueError(
f"Invalid attribute {attribute} not in vector store schema. Schema is:"
f"\n{self._schema.as_dict()}"
)
def visit_comparison(self, comparison: Comparison) -> RedisFilterExpression:
filter_field = self._attribute_to_filter_field(comparison.attribute)
comparison_method = _COMPARATOR_TO_BUILTIN_METHOD[comparison.comparator]
return getattr(filter_field, comparison_method)(comparison.value)
def visit_operation(self, operation: Operation) -> Any:
left = operation.arguments[0].accept(self)
if len(operation.arguments) > 2:
right = self.visit_operation(
Operation(
operator=operation.operator, arguments=operation.arguments[1:]
)
)
else:
right = operation.arguments[1].accept(self)
redis_operator = (
RedisFilterOperator.OR
if operation.operator == Operator.OR
else RedisFilterOperator.AND
)
return RedisFilterExpression(operator=redis_operator, left=left, right=right)
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
@classmethod
def from_vectorstore(cls, vectorstore: Redis) -> RedisTranslator:
return cls(vectorstore._schema)