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>
99 lines
3.1 KiB
Python
99 lines
3.1 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING, 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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if TYPE_CHECKING:
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from qdrant_client.http import models as rest
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class QdrantTranslator(Visitor):
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"""Translate `Qdrant` internal query language elements to valid filters."""
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allowed_operators = (
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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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"""Subset of allowed logical operators."""
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allowed_comparators = (
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Comparator.EQ,
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Comparator.LT,
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Comparator.LTE,
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Comparator.GT,
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Comparator.GTE,
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Comparator.LIKE,
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)
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"""Subset of allowed logical comparators."""
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def __init__(self, metadata_key: str):
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self.metadata_key = metadata_key
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def visit_operation(self, operation: Operation) -> rest.Filter:
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try:
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from qdrant_client.http import models as rest
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except ImportError as e:
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raise ImportError(
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"Cannot import qdrant_client. Please install with `pip install "
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"qdrant-client`."
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) from e
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args = [arg.accept(self) for arg in operation.arguments]
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operator = {
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Operator.AND: "must",
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Operator.OR: "should",
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Operator.NOT: "must_not",
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}[operation.operator]
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return rest.Filter(**{operator: args})
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def visit_comparison(self, comparison: Comparison) -> rest.FieldCondition:
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try:
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from qdrant_client.http import models as rest
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except ImportError as e:
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raise ImportError(
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"Cannot import qdrant_client. Please install with `pip install "
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"qdrant-client`."
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) from e
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self._validate_func(comparison.comparator)
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attribute = self.metadata_key + "." + comparison.attribute
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if comparison.comparator == Comparator.EQ:
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return rest.FieldCondition(
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key=attribute, match=rest.MatchValue(value=comparison.value)
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)
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if comparison.comparator == Comparator.LIKE:
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return rest.FieldCondition(
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key=attribute, match=rest.MatchText(text=comparison.value)
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)
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kwargs = {comparison.comparator.value: comparison.value}
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return rest.FieldCondition(key=attribute, range=rest.Range(**kwargs))
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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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try:
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from qdrant_client.http import models as rest
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except ImportError as e:
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raise ImportError(
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"Cannot import qdrant_client. Please install with `pip install "
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"qdrant-client`."
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) from e
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if structured_query.filter is None:
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kwargs = {}
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else:
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filter = structured_query.filter.accept(self)
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if isinstance(filter, rest.FieldCondition):
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filter = rest.Filter(must=[filter])
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kwargs = {"filter": filter}
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return structured_query.query, kwargs
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