mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +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>
117 lines
3.6 KiB
Python
117 lines
3.6 KiB
Python
from __future__ import annotations
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from typing import Optional, Sequence, Tuple
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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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class TencentVectorDBTranslator(Visitor):
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"""Translate StructuredQuery to Tencent VectorDB query."""
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COMPARATOR_MAP = {
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Comparator.EQ: "=",
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Comparator.NE: "!=",
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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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Comparator.IN: "in",
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Comparator.NIN: "not in",
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}
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allowed_comparators: Optional[Sequence[Comparator]] = list(COMPARATOR_MAP.keys())
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allowed_operators: Optional[Sequence[Operator]] = [
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Operator.AND,
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Operator.OR,
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Operator.NOT,
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]
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def __init__(self, meta_keys: Optional[Sequence[str]] = None):
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"""Initialize the translator.
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Args:
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meta_keys: List of meta keys to be used in the query. Default: [].
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"""
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self.meta_keys = meta_keys or []
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def visit_operation(self, operation: Operation) -> str:
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"""Visit an operation node and return the translated query.
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Args:
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operation: Operation node to be visited.
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Returns:
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Translated query.
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"""
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if operation.operator in (Operator.AND, Operator.OR):
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ret = f" {operation.operator.value} ".join(
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[arg.accept(self) for arg in operation.arguments]
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)
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if operation.operator == Operator.OR:
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ret = f"({ret})"
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return ret
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else:
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return f"not ({operation.arguments[0].accept(self)})"
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def visit_comparison(self, comparison: Comparison) -> str:
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"""Visit a comparison node and return the translated query.
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Args:
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comparison: Comparison node to be visited.
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Returns:
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Translated query.
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"""
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if self.meta_keys and comparison.attribute not in self.meta_keys:
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raise ValueError(
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f"Expr Filtering found Unsupported attribute: {comparison.attribute}"
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)
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if comparison.comparator in self.COMPARATOR_MAP:
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if comparison.comparator in [Comparator.IN, Comparator.NIN]:
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value = map(
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lambda x: f'"{x}"' if isinstance(x, str) else x, comparison.value
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)
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return (
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f"{comparison.attribute}"
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f" {self.COMPARATOR_MAP[comparison.comparator]} "
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f"({', '.join(value)})"
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)
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if isinstance(comparison.value, str):
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return (
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f"{comparison.attribute} "
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f"{self.COMPARATOR_MAP[comparison.comparator]}"
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f' "{comparison.value}"'
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)
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return (
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f"{comparison.attribute}"
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f" {self.COMPARATOR_MAP[comparison.comparator]} "
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f"{comparison.value}"
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)
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else:
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raise ValueError(f"Unsupported comparator {comparison.comparator}")
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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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"""Visit a structured query node and return the translated query.
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Args:
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structured_query: StructuredQuery node to be visited.
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Returns:
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Translated query and query kwargs.
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"""
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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 = {"expr": structured_query.filter.accept(self)}
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return structured_query.query, kwargs
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