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

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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>
2024-05-08 20:46:52 +00:00
from __future__ import annotations
from typing import TYPE_CHECKING, Tuple, Union
from langchain_core.structured_query import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
Visitor,
)
if TYPE_CHECKING:
from timescale_vector import client
class TimescaleVectorTranslator(Visitor):
"""Translate the internal query language elements to valid filters."""
allowed_operators = [Operator.AND, Operator.OR, Operator.NOT]
"""Subset of allowed logical operators."""
allowed_comparators = [
Comparator.EQ,
Comparator.GT,
Comparator.GTE,
Comparator.LT,
Comparator.LTE,
]
COMPARATOR_MAP = {
Comparator.EQ: "==",
Comparator.GT: ">",
Comparator.GTE: ">=",
Comparator.LT: "<",
Comparator.LTE: "<=",
}
OPERATOR_MAP = {Operator.AND: "AND", Operator.OR: "OR", Operator.NOT: "NOT"}
def _format_func(self, func: Union[Operator, Comparator]) -> str:
self._validate_func(func)
if isinstance(func, Operator):
value = self.OPERATOR_MAP[func.value] # type: ignore
elif isinstance(func, Comparator):
value = self.COMPARATOR_MAP[func.value] # type: ignore
return f"{value}"
def visit_operation(self, operation: Operation) -> client.Predicates:
try:
from timescale_vector import client
except ImportError as e:
raise ImportError(
"Cannot import timescale-vector. Please install with `pip install "
"timescale-vector`."
) from e
args = [arg.accept(self) for arg in operation.arguments]
return client.Predicates(*args, operator=self._format_func(operation.operator))
def visit_comparison(self, comparison: Comparison) -> client.Predicates:
try:
from timescale_vector import client
except ImportError as e:
raise ImportError(
"Cannot import timescale-vector. Please install with `pip install "
"timescale-vector`."
) from e
return client.Predicates(
(
comparison.attribute,
self._format_func(comparison.comparator),
comparison.value,
)
)
def visit_structured_query(
self, structured_query: StructuredQuery
) -> Tuple[str, dict]:
if structured_query.filter is None:
kwargs = {}
else:
kwargs = {"predicates": structured_query.filter.accept(self)}
return structured_query.query, kwargs