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Problems running with MLflow 3.9 #76
Description
Tests fail for me when trying to run MLFlowClient.jl 0.7.0 with MLflow 3.9.
I looked into the failure and got to this point in my reduction of the code triggering a fail:
After successfully creating an MLFlow instance, mlf I get this terminal workflow:
julia> mlf
MLFlow(
apiroot = "http://127.0.0.1:5000/api",
apiversion = 2.0
)
julia> experiment_id = createexperiment(mlf, "bunny rabbit")
"7"
julia> result = MLFlowClient.mlfpost(instance, "runs/create"; experiment_id)
JSON.Object{String, Any} with 1 entry:
"run" => Object{String, Any}("info"=>Object{String, Any}("run_uuid"=>"0d239f494b65437c9fd…
julia> result["run"]
JSON.Object{String, Any} with 3 entries:
"info" => Object{String, Any}("run_uuid"=>"0d239f494b65437c9fd3ace8e9333efa", "experime…
"data" => Object{String, Any}("tags"=>Any[Object{String, Any}("key"=>"mlflow.runName", …
"inputs" => Object{String, Any}()
julia> MLFlowClient.Run(ans)
ERROR: KeyError: key "outputs" not found
Stacktrace:
[1] (::JSON.var"#7#8"{String})()
@ JSON ~/.julia/packages/JSON/eypqd/src/object.jl:142
[2] get
@ ~/.julia/packages/JSON/eypqd/src/object.jl:137 [inlined]
[3] getindex
@ ~/.julia/packages/JSON/eypqd/src/object.jl:142 [inlined]
[4] Run(data::JSON.Object{String, Any})
@ MLFlowClient ~/Julia/MLFlowClient/src/types/run.jl:142
[5] top-level scope
@ REPL[47]:1Perhaps, when there is no "output" MLflow excludes the result, rather than returning an empty one. I dunno, as I am not too familiar with this codebase.
Activity
pebeto commentedon Apr 13, 2026
The last version of
MLFlowClient.jl(v0.8.0) pairs withmlflow==3.11.1, which means that the entire workflow is compatible. This issue must be fixed