package version

[SVyusti]

@dosu if I want to make langflow compatible with pydantic version==1.10.15 what all changes need to be made?

[dosubot[bot]]

To make Langflow compatible with Pydantic version 1.10.15, you need to specify the Pydantic version in the pyproject.toml file under [tool.poetry.dependencies]. Here is the modified section of the pyproject.toml file:

[tool.poetry.dependencies]
python = ">=3.10,<3.13"
fastapi = "^0.111.0"
httpx = "*"
uvicorn = "^0.30.0"
gunicorn = "^22.0.0"
langchain = "~0.2.0"
langchainhub = "~0.1.15"
sqlmodel = "^0.0.18"
loguru = "^0.7.1"
rich = "^13.7.0"
langchain-experimental = "*"
pydantic = "==1.10.15"
pydantic-settings = "^2.2.0"
websockets = "*"
typer = "^0.12.0"
cachetools = "^5.3.1"
platformdirs = "^4.2.0"
python-multipart = "^0.0.7"
orjson = "3.10.0"
alembic = "^1.13.0"
passlib = "^1.7.4"
bcrypt = "4.0.1"
pillow = "^10.2.0"
docstring-parser = "^0.15"
python-jose = "^3.3.0"
pandas = "2.2.0"
multiprocess = "^0.70.14"
duckdb = "^0.10.2"
python-socketio = "^5.11.0"
python-docx = "^1.1.0"
jq = { version = "^1.7.0", markers = "sys_platform != 'win32'" }
pypdf = "^4.2.0"
nest-asyncio = "^1.6.0"
emoji = "^2.12.0"
cryptography = "^42.0.5"
asyncer = "^0.0.5"
pyperclip = "^1.8.2"
uncurl = "^0.0.11"

This change ensures that Pydantic version 1.10.15 is used in your project ^[1][2].

Additionally, you may need to review and adjust custom Pydantic models and validators in the codebase to ensure compatibility. For example, the model_validator decorator used in the Record class is deprecated in Pydantic version 1.10.15 and should be replaced with @root_validator(pre=True) ^[3].

To continue talking to Dosu, mention @dosu.

[SVyusti]

show all the changes that is needed in the codebases

[dosubot[bot]]

To ensure compatibility with Pydantic version 1.10.15, you need to make several changes in the codebase. Here are the necessary updates:

1. Update pyproject.toml

Specify the Pydantic version in the pyproject.toml file:

[tool.poetry.dependencies]
python = ">=3.10,<3.12"
pydantic = "==1.10.15"
# other dependencies...

2. Update Record Class

Replace the @model_validator decorator with @root_validator(pre=True) in the Record class.

Before:

from pydantic import BaseModel, model_validator

class Record(BaseModel):
    @model_validator(mode="before")
    def validate_data(cls, values):
        # validation logic

After:

from pydantic import BaseModel, root_validator

class Record(BaseModel):
    @root_validator(pre=True)
    def validate_data(cls, values):
        # validation logic

3. Update Validators and Serializers

Review and update other custom validators and serializers that use Pydantic's internal APIs.

Example:

from pydantic import BaseModel, validator, field_validator, field_serializer

class ExampleModel(BaseModel):
    @validator("field_name", pre=True)
    def validate_field(cls, v):
        # validation logic

    @field_serializer("field_name")
    def serialize_field(cls, v):
        # serialization logic

4. Review Custom Models and Configurations

Ensure that custom models using Config classes or custom data types are compatible with Pydantic 1.10.15.

Example:

from pydantic import BaseModel, ConfigDict

class CustomModel(BaseModel):
    model_config = ConfigDict(arbitrary_types_allowed=True)
    # other fields and methods

5. Update Integration Points

Check integration points with external libraries or APIs that rely on Pydantic models.

Example:

from pydantic.v1 import SecretStr

class AnthropicLLM:
    anthropic_api_key: SecretStr
    # other fields and methods

6. Update Unit and Integration Tests

Ensure that unit tests and integration tests reflect the changes made for Pydantic 1.10.15 compatibility.

Example:

def test_record_initialization():
    record = Record(text_key="msg", data={"msg": "Hello, World!", "extra": "value"})
    assert record.msg == "Hello, World!"
    assert record.extra == "value"

7. Review Error Messages and Exceptions

Update specific error messages or exceptions related to Pydantic validation.

Example:

from pydantic import BaseModel, validator

class ExampleModel(BaseModel):
    @validator("field_name", pre=True)
    def validate_field(cls, v):
        if not isinstance(v, str):
            raise ValueError("field_name must be a string")
        return v

8. Check for Deprecated Features or Breaking Changes

Review the codebase for any other deprecated features or breaking changes in Pydantic 1.10.15 that might affect the existing code.

By making these changes, you can ensure that your codebase is compatible with Pydantic version 1.10.15.

To continue talking to Dosu, mention @dosu.