Using Evidently in Airflow using Docker

[PranavKhedkar]

I am using airflow in a docker container. I installed evidently in airflow but when I try to use it, there is an error stating that "from pydantic.v1.fields import SHAPE_DICT
ModuleNotFoundError: No module named 'pydantic.v1.fields'; 'pydantic.v1' is not a package". Is this due to a version conflict? I tried upgrading as well as downgrading pydantic, but I face the same error

[phi-friday]

It would be helpful if you could let us know which versions of airflow and pydantic you are using.

[PranavKhedkar]

Here are the versions:
airflow : 2.9.0
pydantic : 1.10.15
evidently : 0.4.7

[phi-friday]

airflow defines the modules associated with pydantic in here.

As you'll see if you check the file, it can work regardless of the version of pydantic.
I installed pydantic@v1 as you suggested, and it works fine.
(I didn't really run it, I just installed pydantic@v1 and tried out the module.)

Based on the error message you gave first, it seems that certain libraries only support pydantic@v2.
If you could tell us what other libraries you have installed, we might be able to help you further.

Separately, airflow recommends pydantic@v2

link.

    "pydantic": [
        "pydantic>=2.3.0",
    ],

If you want to install airflow and pydantic together, install apache-airflow[pydantic].

[Taragolis]

airflow defines the modules associated with pydantic in here.

This ones for internal usage only

[PranavKhedkar]

The libraries that I am using:
pandas
sklearn
datetime
evidently

[PranavKhedkar]

I got the solution by using these versions:
airflow == 1.10.9
evidently == 0.2.0