Source code for langchain_community.query_constructors.timescalevector

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


[docs] 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}"
[docs] 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))
[docs] 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, ) )
[docs] 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