Reverting from MLFLOW_API_URI to MLFLOW_TRACKING_URI, allowing co…

…mpatibility with `mlflow` ENV standard

.github/workflows/CI.yml

@@ -50,7 +50,7 @@ jobs:
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-runtest@v1
         env:
-          MLFLOW_API_URI: "http://localhost:5000/api"
+          MLFLOW_TRACKING_URI: "http://localhost:5000/api"
       - uses: julia-actions/julia-processcoverage@v1
       - uses: codecov/codecov-action@v2
         with:

src/types/mlflow.jl

@@ -12,7 +12,7 @@ Default is `false`, using the REST API endpoint.
 # Constructors
 
 - `MLFlow(apiroot; apiversion=2.0,headers=Dict())`
-- `MLFlow()` - defaults to `MLFlow(ENV["MLFLOW_API_URI"])` or `MLFlow("http://localhost:5000")`
+- `MLFlow()` - defaults to `MLFlow(ENV["MLFLOW_TRACKING_URI"])` or `MLFlow("http://localhost:5000/api")`
 
 # Examples
 
@@ -34,8 +34,8 @@ end
 MLFlow(apiroot; apiversion=2.0, headers=Dict()) = MLFlow(apiroot, apiversion, headers)
 function MLFlow()
     apiroot = "http://localhost:5000/api"
-    if haskey(ENV, "MLFLOW_API_URI")
-        apiroot = ENV["MLFLOW_API_URI"]
+    if haskey(ENV, "MLFLOW_TRACKING_URI")
+        apiroot = ENV["MLFLOW_TRACKING_URI"]
     end
     return MLFlow(apiroot)
 end

test/base.jl

@@ -13,7 +13,7 @@ function mlflow_server_is_running(mlf::MLFlow)
 end
 
 # creates an instance of mlf
-# skips test if mlflow is not available on default location, ENV["MLFLOW_API_URI"]
+# skips test if mlflow is not available on default location, ENV["MLFLOW_TRACKING_URI"]
 macro ensuremlf()
     e = quote
         mlf = MLFlow()

test/runtests.jl

@@ -1,5 +1,5 @@
-if ~haskey(ENV, "MLFLOW_API_URI")
-    error("WARNING: MLFLOW_API_URI is not set. To run this tests, you need to set the URI of your MLFlow server API")
+if ~haskey(ENV, "MLFLOW_TRACKING_URI")
+    error("WARNING: MLFLOW_TRACKING_URI is not set. To run this tests, you need to set the URI of your MLFlow server API")
 end
 
 include("base.jl")

test/test_functional.jl

@@ -1,6 +1,6 @@
 @testset "MLFlow" begin
     mlf = MLFlow()
-    @test mlf.apiroot == ENV["MLFLOW_API_URI"]
+    @test mlf.apiroot == ENV["MLFLOW_TRACKING_URI"]
     @test mlf.apiversion == 2.0
     @test mlf.headers == Dict()
     mlf = MLFlow("https://localhost:5001/api", apiversion=3.0)