langchain/libs/community/langchain_community/query_constructors/tencentvectordb.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 Optional, Sequence, Tuple
from langchain_core.structured_query import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
Visitor,
)
class TencentVectorDBTranslator(Visitor):
"""Translate StructuredQuery to Tencent VectorDB query."""
COMPARATOR_MAP = {
Comparator.EQ: "=",
Comparator.NE: "!=",
Comparator.GT: ">",
Comparator.GTE: ">=",
Comparator.LT: "<",
Comparator.LTE: "<=",
Comparator.IN: "in",
Comparator.NIN: "not in",
}
allowed_comparators: Optional[Sequence[Comparator]] = list(COMPARATOR_MAP.keys())
allowed_operators: Optional[Sequence[Operator]] = [
Operator.AND,
Operator.OR,
Operator.NOT,
]
def __init__(self, meta_keys: Optional[Sequence[str]] = None):
"""Initialize the translator.
Args:
meta_keys: List of meta keys to be used in the query. Default: [].
"""
self.meta_keys = meta_keys or []
def visit_operation(self, operation: Operation) -> str:
"""Visit an operation node and return the translated query.
Args:
operation: Operation node to be visited.
Returns:
Translated query.
"""
if operation.operator in (Operator.AND, Operator.OR):
ret = f" {operation.operator.value} ".join(
[arg.accept(self) for arg in operation.arguments]
)
if operation.operator == Operator.OR:
ret = f"({ret})"
return ret
else:
return f"not ({operation.arguments[0].accept(self)})"
def visit_comparison(self, comparison: Comparison) -> str:
"""Visit a comparison node and return the translated query.
Args:
comparison: Comparison node to be visited.
Returns:
Translated query.
"""
if self.meta_keys and comparison.attribute not in self.meta_keys:
raise ValueError(
f"Expr Filtering found Unsupported attribute: {comparison.attribute}"
)
if comparison.comparator in self.COMPARATOR_MAP:
if comparison.comparator in [Comparator.IN, Comparator.NIN]:
value = map(
lambda x: f'"{x}"' if isinstance(x, str) else x, comparison.value
)
return (
f"{comparison.attribute}"
f" {self.COMPARATOR_MAP[comparison.comparator]} "
f"({', '.join(value)})"
)
if isinstance(comparison.value, str):
return (
f"{comparison.attribute} "
f"{self.COMPARATOR_MAP[comparison.comparator]}"
f' "{comparison.value}"'
)
return (
f"{comparison.attribute}"
f" {self.COMPARATOR_MAP[comparison.comparator]} "
f"{comparison.value}"
)
else:
raise ValueError(f"Unsupported comparator {comparison.comparator}")
def visit_structured_query(
self, structured_query: StructuredQuery
) -> Tuple[str, dict]:
"""Visit a structured query node and return the translated query.
Args:
structured_query: StructuredQuery node to be visited.
Returns:
Translated query and query kwargs.
"""
if structured_query.filter is None:
kwargs = {}
else:
kwargs = {"expr": structured_query.filter.accept(self)}
return structured_query.query, kwargs