2020-07-20T12:09:58.139Z {"message":"Variable \"$input\" got invalid value { flow_id: \"80de1b39-fed7-47ab-a5a5-fc22ac6f87d2\", idempotency_key: \"e82df5c1-d197-46f1-9bb1-f18f9335e0f8\" }; Field \"idempotency_key\" is not defined by type create_flow_run_input.","locations":[{"line":1,"column":10}],"extensions":{"code":"INTERNAL_SERVER_ERROR"}}

Is this a bug? Every component of my Prefect Cluster (v0.12.4) is running in K8S but its a static setup with every component is one container and everything together in one pod (so everything can communicate using localhost). I have a Dask-Worker pod running and all other flows (not calling other flows) this far are working.

suspect that either server (which I'm guessing you're running, not cloud?) doesn't accept the idempotency key parameter that was added as default in

FlowRunTask

, or you've got a version mismatch? This works OK in cloud.

I do not use the Cloud. All server components are stock Docker images taken from dockerhub,

prefecthq/*

, e.g.

prefecthq/server:0.12.4

for graphql and prefect scheduler,

prefecthq/apollo:0.12.4

for apollo,

prefecthq/ui:0.12.4

for ui. For Agent, for the Dask Worker and the Dask Scheduler (master) I have a own image build. Thats because I need some dependencies (Presto, Spark, etc.). But this image is simple and not much more than

pip install --no-cache-dir "prefect[$PREFECT_EXTRAS]==$PREFECT_VERSION"

in a

python:3

base image. Of course the Version matches and is

0.12.4

, too

suspect this is a bug in the server schema definitions then

I will create an issue.