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docs: Error when importing packages from pydantic [docs] (#16564)

Browse Source 
URL : https://python.langchain.com/docs/use_cases/extraction

Desc: 
<b> While the following statement executes successfully, it throws an
error which is described below when we use the imported packages</b>
 ```py 
from pydantic import BaseModel, Field, validator
```
Code: 
```python
from langchain.output_parsers import PydanticOutputParser
from langchain.prompts import (
    PromptTemplate,
)
from langchain_openai import OpenAI
from pydantic import BaseModel, Field, validator

# Define your desired data structure.
class Joke(BaseModel):
    setup: str = Field(description="question to set up a joke")
    punchline: str = Field(description="answer to resolve the joke")

    # You can add custom validation logic easily with Pydantic.
    @validator("setup")
    def question_ends_with_question_mark(cls, field):
        if field[-1] != "?":
            raise ValueError("Badly formed question!")
        return field
```

Error:
```md
PydanticUserError: The `field` and `config` parameters are not available
in Pydantic V2, please use the `info` parameter instead.

For further information visit
https://errors.pydantic.dev/2.5/u/validator-field-config-info
```

Solution:
Instead of doing:
```py
from pydantic import BaseModel, Field, validator
```
We should do:
```py
from langchain_core.pydantic_v1 import BaseModel, Field, validator
```
Thanks.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
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ARKA1112 2024-01-28 06:16:48 +05:30 committed by GitHub
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docs/docs/use_cases/extraction.ipynb
View File

@ -430,7 +430,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 10, "execution_count": null,
"id": "64650362", "id": "64650362",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -452,8 +452,8 @@
"from langchain.prompts import (\n", "from langchain.prompts import (\n",
" PromptTemplate,\n", " PromptTemplate,\n",
")\n", ")\n",
"from langchain_core.pydantic_v1 import BaseModel, Field, validator\n",
"from langchain_openai import OpenAI\n", "from langchain_openai import OpenAI\n",
"from pydantic import BaseModel, Field, validator\n",
"\n", "\n",
"\n", "\n",
"class Person(BaseModel):\n", "class Person(BaseModel):\n",
@ -531,8 +531,8 @@
"from langchain.prompts import (\n", "from langchain.prompts import (\n",
" PromptTemplate,\n", " PromptTemplate,\n",
")\n", ")\n",
"from langchain_core.pydantic_v1 import BaseModel, Field, validator\n",
"from langchain_openai import OpenAI\n", "from langchain_openai import OpenAI\n",
"from pydantic import BaseModel, Field, validator\n",
"\n", "\n",
"\n", "\n",
"# Define your desired data structure.\n", "# Define your desired data structure.\n",