mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
f92006de3c
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>
85 lines
2.6 KiB
Python
85 lines
2.6 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING, 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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if TYPE_CHECKING:
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from timescale_vector import client
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class TimescaleVectorTranslator(Visitor):
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"""Translate the internal query language elements to valid filters."""
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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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allowed_comparators = [
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Comparator.EQ,
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Comparator.GT,
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Comparator.GTE,
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Comparator.LT,
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Comparator.LTE,
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]
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COMPARATOR_MAP = {
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Comparator.EQ: "==",
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Comparator.GT: ">",
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Comparator.GTE: ">=",
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Comparator.LT: "<",
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Comparator.LTE: "<=",
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}
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OPERATOR_MAP = {Operator.AND: "AND", Operator.OR: "OR", Operator.NOT: "NOT"}
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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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if isinstance(func, Operator):
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value = self.OPERATOR_MAP[func.value] # type: ignore
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elif isinstance(func, Comparator):
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value = self.COMPARATOR_MAP[func.value] # type: ignore
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return f"{value}"
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def visit_operation(self, operation: Operation) -> client.Predicates:
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try:
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from timescale_vector import client
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except ImportError as e:
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raise ImportError(
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"Cannot import timescale-vector. Please install with `pip install "
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"timescale-vector`."
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) from e
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args = [arg.accept(self) for arg in operation.arguments]
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return client.Predicates(*args, operator=self._format_func(operation.operator))
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def visit_comparison(self, comparison: Comparison) -> client.Predicates:
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try:
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from timescale_vector import client
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except ImportError as e:
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raise ImportError(
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"Cannot import timescale-vector. Please install with `pip install "
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"timescale-vector`."
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) from e
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return client.Predicates(
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(
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comparison.attribute,
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self._format_func(comparison.comparator),
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comparison.value,
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)
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)
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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 = {"predicates": structured_query.filter.accept(self)}
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return structured_query.query, kwargs
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