@Marvin I received this error while running a deployment. Could you explain the error? It occurred during the tag step:

ValueError: Step has unexpected additional keys: requires, image_name, tag

The error message

ValueError: Step has unexpected additional keys: requires, image_name, tag

suggests that the deployment step in your

prefect.yaml

file contains keys that are not recognized by Prefect. This typically occurs when there are incorrect or unsupported keys specified in the deployment configuration file. ### Possible Causes: 1. Unsupported Keys: The keys

requires

,

image_name

, and

tag

are not expected in the context where they are used. Ensure that these keys are used in the correct section of the

prefect.yaml

file. 2. Incorrect Configuration: Double-check the deployment configuration to ensure that all keys are valid and supported by the version of Prefect you are using. ### Suggested Actions: - Review Documentation: Verify that the keys you are using are part of the supported configuration options for deployments in Prefect. You can refer to the Prefect YAML documentation for more details on the correct structure and supported keys. - Check for Updates: Ensure that you are using the latest version of Prefect, as sometimes configuration options might change between versions. If you continue to face issues, consider sharing the relevant section of your

prefect.yaml

file for more targeted assistance.

@Marvin I received the following error while running a deployment. Could you explain the error? It occurred during the build_docker_image step

TypeError: Object of type 'FieldInfo' is not JSON serializable

The error

TypeError: Object of type 'FieldInfo' is not JSON serializable

typically arises when there's an attempt to serialize an object that contains fields not directly supported by JSON serialization. This is particularly common when using data models or configurations involving Python libraries like Pydantic, which Prefect uses for data validation and serialization. ### Root Cause: - Pydantic Models: The error often occurs when Pydantic models or fields are used in a way that they are directly passed to JSON serialization functions without proper conversion. Pydantic fields, like

FieldInfo

, are not inherently JSON serializable. ### Suggested Solutions: 1. Convert to Dictionary: Before serialization, convert the Pydantic model or its fields to a dictionary using the

.dict()

method. This method converts the model into a JSON-compatible dictionary. 2. Custom Serialization: If you have custom objects or fields, you might need to implement a custom encoder that knows how to handle these types. This can be done by providing a custom

json_encoder

to the Pydantic model. 3. Check Deployment Configuration: Ensure that the deployment configuration does not directly include Pydantic fields or objects that are not meant to be serialized. ### Additional Resources: - Prefect YAML Documentation for understanding deployment configurations. - GitHub Issue on Pydantic Serialization discusses similar issues with Pydantic 2 models and JSON serialization. If the problem persists, reviewing the specific deployment step configuration or sharing the relevant code snippet can help diagnose the issue further.

i'd be curious to see your

prefect version

output wrt the FieldInfo error, but most of the time when I see this

ValueError: Step has unexpected additional keys: requires, image_name, tag

its a yaml indentation issue iirc

@Nate I have a push step already to push to an azure blob storage. Am I still have to push the docker image in the deployment?

well it sounds like maybe you're storing your code in azure blob storage and building an image with custom dependencies so you could potentially do both in prefect.yaml but you don't have to do either in the prefect.yaml if you're otherwise doing it already in ci