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multiple: pydantic 2 compatibility, v0.3 (#26443)

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Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
This commit is contained in:
Erick Friis
2024-09-13 14:38:45 -07:00
committed by GitHub
parent d9813bdbbc
commit c2a3021bb0
1402 changed files with 38318 additions and 30410 deletions
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29
libs/community/langchain_community/tools/powerbi/tool.py
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@@ -8,8 +8,8 @@ from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import Field, validator
from langchain_core.tools import BaseTool
from pydantic import ConfigDict, Field, model_validator
from langchain_community.chat_models.openai import _import_tiktoken
from langchain_community.tools.powerbi.prompt import (
@@ -31,7 +31,7 @@ class QueryPowerBITool(BaseTool):
Example Input: "How many rows are in table1?"
""" # noqa: E501
llm_chain: Any
llm_chain: Any = None
powerbi: PowerBIDataset = Field(exclude=True)
examples: Optional[str] = DEFAULT_FEWSHOT_EXAMPLES
session_cache: Dict[str, Any] = Field(default_factory=dict, exclude=True)
@@ -39,21 +39,24 @@ class QueryPowerBITool(BaseTool):
output_token_limit: int = 4000
tiktoken_model_name: Optional[str] = None # "cl100k_base"
class Config:
arbitrary_types_allowed = True
model_config = ConfigDict(
arbitrary_types_allowed=True,
)
@validator("llm_chain")
@model_validator(mode="before")
@classmethod
def validate_llm_chain_input_variables( # pylint: disable=E0213
cls, llm_chain: Any
) -> Any:
cls, values: dict
) -> dict:
"""Make sure the LLM chain has the correct input variables."""
llm_chain = values["llm_chain"]
for var in llm_chain.prompt.input_variables:
if var not in ["tool_input", "tables", "schemas", "examples"]:
raise ValueError(
"LLM chain for QueryPowerBITool must have input variables ['tool_input', 'tables', 'schemas', 'examples'], found %s", # noqa: E501 # pylint: disable=C0301
llm_chain.prompt.input_variables,
)
return llm_chain
return values
def _check_cache(self, tool_input: str) -> Optional[str]:
"""Check if the input is present in the cache.
@@ -225,8 +228,9 @@ class InfoPowerBITool(BaseTool):
""" # noqa: E501
powerbi: PowerBIDataset = Field(exclude=True)
class Config:
arbitrary_types_allowed = True
model_config = ConfigDict(
arbitrary_types_allowed=True,
)
def _run(
self,
@@ -251,8 +255,9 @@ class ListPowerBITool(BaseTool):
description: str = "Input is an empty string, output is a comma separated list of tables in the database." # noqa: E501 # pylint: disable=C0301
powerbi: PowerBIDataset = Field(exclude=True)
class Config:
arbitrary_types_allowed = True
model_config = ConfigDict(
arbitrary_types_allowed=True,
)
def _run(
self,