feat: support master branch terraform-provider-harvester

Signed-off-by: PoAn Yang <[email protected]>

config.yml

@@ -31,8 +31,11 @@ image-cache-url: ''
 terraform-scripts-location: 'terraform_test_artifacts'
 # Rancher provider version, leave empty for the latest version. e.g. '' or '3.1.1'.
 terraform-provider-rancher: ''
-# Harvester provider version, leave empty for the latest version. e.g. '' or '0.6.3'.
-terraform-provider-harvester: ''
+# Harvester provider version:
+# '' for the latest released version.
+# '0.0.0-dev' for the latest version from master branch.
+# '0.6.3' for the specific version.
+terraform-provider-harvester: '0.0.0-dev'
 
 # Backup Target S3
 s3-endpoint: ''

harvester_e2e_tests/fixtures/terraform.py

@@ -257,6 +257,23 @@ def initial_provider(self, kubeconfig, provider_version):
                 provider_source="harvester/harvester", provider_version=provider_version
             ))
 
+        if provider_version == "0.0.0-dev":
+            docker_plugin_path = "/root/.terraform.d/plugins/terraform.local/local"
+            docker_plugin_tf = "harvester/0.0.0-dev/linux_amd64/terraform-provider-harvester_v0.0.0-dev"  # noqa: E501
+            local_plugin_path = "~/.terraform.d/plugins/registry.terraform.io"
+            local_plugin_tf = "harvester/harvester/0.0.0-dev/linux_amd64"
+            rv = run(
+                f"rm -rf ~/.terraform.d/plugins/registry.terraform.io/harvester/harvester &&"
+                f" mkdir -p {local_plugin_path}/{local_plugin_tf} &&"
+                f" docker run --name harv-tf-master-head"
+                f" -v {local_plugin_path}/{local_plugin_tf}:/_tf"
+                f" rancher/terraform-provider-harvester:master-head-amd64"
+                f' bash -c "cp {docker_plugin_path}/{docker_plugin_tf} /_tf/" &&'
+                f" docker rm harv-tf-master-head",
+                shell=True, stdout=PIPE, stderr=PIPE, cwd=self.workdir
+            )
+            assert not remove_ansicode(rv.stderr) and 0 == rv.returncode
+
         return self.execute("init")
 
     def save_as(self, content, filename, ext=".tf"):