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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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44
libs/community/langchain_community/embeddings/baichuan.py
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@@ -1,14 +1,19 @@
from typing import Any, Dict, List, Optional
from typing import Any, List, Optional
import requests
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
from langchain_core.utils import (
convert_to_secret_str,
get_from_dict_or_env,
secret_from_env,
)
from pydantic import (
BaseModel,
ConfigDict,
Field,
SecretStr,
model_validator,
)
from requests import RequestException
from typing_extensions import Self
BAICHUAN_API_URL: str = "http://api.baichuan-ai.com/v1/embeddings"
@@ -54,45 +59,32 @@ class BaichuanTextEmbeddings(BaseModel, Embeddings):
vectors = embeddings.embed_query(text)
""" # noqa: E501
session: Any #: :meta private:
session: Any = None #: :meta private:
model_name: str = Field(default="Baichuan-Text-Embedding", alias="model")
"""The model used to embed the documents."""
baichuan_api_key: Optional[SecretStr] = Field(
baichuan_api_key: SecretStr = Field(
alias="api_key",
default_factory=secret_from_env("BAICHUAN_API_KEY", default=None),
default_factory=secret_from_env(["BAICHUAN_API_KEY", "BAICHUAN_AUTH_TOKEN"]),
)
"""Automatically inferred from env var `BAICHUAN_API_KEY` if not provided."""
chunk_size: int = 16
"""Chunk size when multiple texts are input"""
class Config:
allow_population_by_field_name = True
model_config = ConfigDict(populate_by_name=True, protected_namespaces=())
@root_validator(pre=False, skip_on_failure=True)
def validate_environment(cls, values: Dict) -> Dict:
@model_validator(mode="after")
def validate_environment(self) -> Self:
"""Validate that auth token exists in environment."""
if values["baichuan_api_key"] is None:
# This is likely here for some backwards compatibility with
# BAICHUAN_AUTH_TOKEN
baichuan_api_key = convert_to_secret_str(
get_from_dict_or_env(
values, "baichuan_auth_token", "BAICHUAN_AUTH_TOKEN"
)
)
values["baichuan_api_key"] = baichuan_api_key
else:
baichuan_api_key = values["baichuan_api_key"]
session = requests.Session()
session.headers.update(
{
"Authorization": f"Bearer {baichuan_api_key.get_secret_value()}",
"Authorization": f"Bearer {self.baichuan_api_key.get_secret_value()}",
"Accept-Encoding": "identity",
"Content-type": "application/json",
}
)
values["session"] = session
return values
self.session = session
return self
def _embed(self, texts: List[str]) -> Optional[List[List[float]]]:
"""Internal method to call Baichuan Embedding API and return embeddings.