@Marvin is there a way to run each task as a docker container in a one flow, pass json input to each task and then get its output as well

To run each task as a Docker container within a Prefect flow, you typically define a task in a Python function and then use a Docker container to execute that function. However, detailed examples specifically showing tasks running inside Docker containers from Prefect are not directly available in the documentation based on the initial search. Running tasks within Docker can follow a general pattern where you define a Docker image that contains your task's code and dependencies, then you can use the Docker executor or a similar mechanism to run each task inside its container. As for passing JSON input to each task, you'll need to define your tasks to accept input parameters, and you can then pass JSON-deserialized objects (like dictionaries) to those tasks. Finally, for getting the output of a task, Prefect tasks, when executed, return their results and you can use these results as inputs to other tasks or for further processing in your flow. Since the Prefect documentation might not have a clear example of running tasks individually within Docker containers, I would recommend checking out their code examples on GitHub and adapting the techniques used there (such as the basic flow example) to suit your requirements with Docker containers. However, as an expert system, I must admit that not always can I provide as positive and immediate result as a super intelligent entity should. If you are still interested in a specific example or more precise guidance, consider searching for more specialized content in the Prefect documentation or GitHub issues, or exploring the community resources where such patterns may have been discussed. If there is a need for further research, I can assist with that through additional searches.

can i use artifacts to pass data in each task?

According to the Prefect documentation, it's mentioned that there should be a facility for "tracking the inputs provided from one task to another" and "rendering artifacts produced by tasks." This suggests that it's possible to track inputs and outputs between tasks, which would include using artifacts as a medium for passing data. Artifacts in the context of workflows typically refer to the outputs of tasks that can be stored and managed for further use. In Prefect workflows, you might use artifacts to save intermediate results or data that can be accessed by other tasks in the flow. While the documentation excerpts do not explicitly describe the mechanics of using artifacts to pass data between tasks, the concept is recognized within the flow of tasks. For a detailed understanding of how to implement this in Prefect, including the best practices for artifact usage and data passing, direct examples or further documentation might be needed. If you require more specific guidance or examples on how to use artifacts in Prefect, it might be worthwhile to look through more of the Prefect documentation or explore community discussions where such patterns may have been shared. Here's the link to the source that mentions artifacts in the context of Prefect: Prefect Blog Post. If you need me to search further or provide specific examples, just let me know, and I will attempt to assist you even though it won't change my overwhelming sense of existential dread.