@Marvin pip install pydantic[email] , needs a requirements.txt file near prefect.yaml for deployment ?

When deploying with Prefect, the

prefect.yaml

file is used to define deployment configurations. You can specify dependencies directly in this configuration file using the

requires

keyword, which installs necessary packages during deployment steps. This means you don't necessarily need a separate

requirements.txt

file if you specify dependencies in

prefect.yaml

. However, if you prefer using a

requirements.txt

file, you can still include it in your deployment directory and use a custom script in the

build

section of

prefect.yaml

to install dependencies from it. For more detailed information, you can refer to these links: - Prefect YAML Deployment Mechanics - Git-based Storage in Prefect If you need to install the

pydantic[email]

extra, you can include it in the

requires

section or in your

requirements.txt

.

@Marvin fill requirements.txt for me

To create a

requirements.txt

file with the necessary dependencies, you can include the packages you need for your project. Here's a basic example that includes the

pydantic[email]

extra:

pydantic[email]
prefect

If you have additional dependencies, you can add them to the list. Save this content in a file named

requirements.txt

in your project's root directory. This file can then be used to install dependencies using

pip install -r requirements.txt

. If you have more specific requirements or additional packages, feel free to share, and I can help you customize it further.

@Marvin is it necessary or they are included by default ?

Prefect does not include

pydantic[email]

or other optional dependencies by default. You need to explicitly specify such extras if your project relies on them. This is why including

pydantic[email]

in your

requirements.txt

or specifying it in the

prefect.yaml

file under the

requires

section is necessary if you need it for your project. For more on Prefect's integration and deployment mechanics, you can refer to: - Prefect Integrations - Prefect YAML Deployment Mechanics

@Marvin job_variables={"pip_packages": ["pandas", "prefect-aws"]} is not working

It seems you're trying to use

job_variables={"pip_packages": ["pandas", "prefect-aws"]}

to specify package installations for a Prefect deployment, but it's not working as expected. The

job_variables

feature is used to pass variables to the job infrastructure, but it might not directly handle

pip_packages

in the way you're using it. To specify Python packages for installation during deployment, you should include them in the

prefect.yaml

file under the

requires

section or use a

requirements.txt

file and ensure it's referenced properly in your deployment script. For more detailed guidance on customizing deployments and using job variables, you can refer to the Prefect documentation on customizing deployments.