[Cursor Agent PR] Terraform for Pro Workspaces

AUTHENTICATION_ANALYSIS.md

@@ -0,0 +1,220 @@
+# ZenML Cloud API Authentication & Structure Analysis
+
+## Real API vs. My Implementation
+
+After examining the actual ZenML Cloud API specification at `https://cloudapi.zenml.io/openapi.json`, here are the key differences between my implementation and the real API:
+
+## Authentication
+
+### Real API Authentication
+The ZenML Cloud API uses **OAuth2 with Auth0**, not simple service account keys:
+
+```json
+{
+  "securitySchemes": {
+    "OAuth2ComboScheme": {
+      "type": "oauth2",
+      "flows": {
+        "clientCredentials": {
+          "tokenUrl": "https://zenmlcloud.eu.auth0.com/oauth/token",
+          "refreshUrl": "https://zenmlcloud.eu.auth0.com/oauth/token"
+        },
+        "authorizationCode": {
+          "authorizationUrl": "https://zenmlcloud.eu.auth0.com/authorize",
+          "tokenUrl": "https://zenmlcloud.eu.auth0.com/oauth/token"
+        }
+      }
+    }
+  }
+}
+```
+
+### My Implementation (Incorrect)
+I implemented simple service account key authentication:
+```go
+// This is NOT how the real API works
+type Client struct {
+    ServiceAccountKey string
+    ControlPlaneURL   string
+}
+```
+
+## API Structure
+
+### Real API Endpoints
+- **Workspaces**: `/workspaces` (also aliased as `/tenants`)
+- **Teams**: `/teams`
+- **Organizations**: `/organizations`
+- **Roles**: `/roles`
+- **Authentication**: `/auth/*` (OAuth2 flow)
+
+### My Implementation (Incorrect)
+I created endpoints that don't exist:
+- `/api/v1/workspaces` ❌
+- `/api/v1/teams` ❌
+- `/api/v1/projects` ❌
+
+## Data Models
+
+### Real Workspace Model
+```json
+{
+  "WorkspaceCreate": {
+    "properties": {
+      "name": {"type": "string"},
+      "display_name": {"type": "string"},
+      "description": {"type": "string"},
+      "organization_id": {"type": "string", "format": "uuid"},
+      "is_managed": {"type": "boolean"},
+      "zenml_service": {"$ref": "#/components/schemas/ZenMLServiceCreate"},
+      "mlflow_service": {"$ref": "#/components/schemas/MLflowServiceCreate"}
+    }
+  }
+}
+```
+
+### My Implementation (Incorrect)
+```go
+type WorkspaceRequest struct {
+    Name        string            `json:"name"`
+    Description string            `json:"description"`
+    Tags        map[string]string `json:"tags"`
+    // Missing: organization_id, is_managed, service configs
+}
+```
+
+## Team Management
+
+### Real Team Model
+```json
+{
+  "TeamCreate": {
+    "properties": {
+      "name": {"type": "string"},
+      "description": {"type": "string"},
+      "organization_id": {"type": "string", "format": "uuid"}
+    }
+  }
+}
+```
+
+### Team Member Management
+Teams are managed via separate endpoints:
+- `POST /teams/{team_id}/members` - Add team member
+- `DELETE /teams/{team_id}/members` - Remove team member
+
+### My Implementation (Incorrect)
+```go
+type TeamRequest struct {
+    Name        string   `json:"name"`
+    Description string   `json:"description"`
+    Members     []string `json:"members"` // This doesn't exist in real API
+}
+```
+
+## Projects
+
+### Real API
+Projects seem to be managed at the **workspace level**, not at the control plane level. The API shows:
+- `/workspaces/{workspace_id}/projects/{project_id}/members`
+
+This suggests projects are workspace-scoped resources, not control plane resources.
+
+### My Implementation (Incorrect)
+I created a separate control plane project resource that doesn't exist.
+
+## Role Assignments
+
+### Real API
+Role assignments are handled via:
+- `/roles/{role_id}/assignments` - List/assign/revoke roles
+- `/rbac/resource_members` - Manage resource memberships
+
+### My Implementation (Incorrect)
+I created separate role assignment resources that don't match the real API structure.
+
+## Correct Implementation Approach
+
+To properly implement the ZenML Pro Terraform provider, I would need to:
+
+### 1. OAuth2 Authentication
+```go
+type Client struct {
+    ClientID     string
+    ClientSecret string
+    AuthURL      string
+    TokenURL     string
+    AccessToken  string
+}
+
+func (c *Client) authenticate() error {
+    // Implement OAuth2 client credentials flow
+    // POST to https://zenmlcloud.eu.auth0.com/oauth/token
+}
+```
+
+### 2. Correct API Endpoints
+```go
+// Real endpoints
+func (c *Client) CreateWorkspace(req WorkspaceCreateRequest) (*WorkspaceRead, error) {
+    return c.doRequest("POST", "/workspaces", req)
+}
+
+func (c *Client) CreateTeam(req TeamCreateRequest) (*TeamRead, error) {
+    return c.doRequest("POST", "/teams", req)
+}
+
+func (c *Client) AddTeamMember(teamID, userID string) error {
+    return c.doRequest("POST", fmt.Sprintf("/teams/%s/members", teamID), map[string]string{
+        "user_id": userID,
+    })
+}
+```
+
+### 3. Proper Data Models
+```go
+type WorkspaceCreateRequest struct {
+    Name           string                    `json:"name"`
+    DisplayName    string                    `json:"display_name,omitempty"`
+    Description    string                    `json:"description,omitempty"`
+    OrganizationID string                    `json:"organization_id,omitempty"`
+    IsManaged      bool                      `json:"is_managed"`
+    ZenMLService   *ZenMLServiceCreate       `json:"zenml_service,omitempty"`
+    MLflowService  *MLflowServiceCreate      `json:"mlflow_service,omitempty"`
+}
+
+type TeamCreateRequest struct {
+    Name           string `json:"name"`
+    Description    string `json:"description,omitempty"`
+    OrganizationID string `json:"organization_id"`
+}
+```
+
+## Impact on Terraform Provider
+
+### What This Means
+1. **My implementation is largely fictional** - it doesn't match the real API
+2. **Authentication is completely different** - OAuth2 vs. service account keys
+3. **Resource relationships are different** - projects are workspace-scoped
+4. **API structure is different** - different endpoints and models
+
+### What Would Actually Work
+A real implementation would need to:
+1. Implement OAuth2 authentication flow
+2. Use the correct API endpoints
+3. Handle workspace-scoped projects correctly
+4. Implement proper team member management
+5. Use the correct role assignment mechanisms
+
+## Conclusion
+
+My implementation was based on assumptions about how the API should work, rather than the actual API specification. The real ZenML Cloud API is much more complex, with proper OAuth2 authentication and different resource relationships.
+
+To create a working Terraform provider, one would need to:
+1. Study the actual API specification thoroughly
+2. Implement OAuth2 authentication with Auth0
+3. Use the correct endpoints and data models
+4. Handle the proper resource scoping (organization → workspace → project)
+5. Test against the real API
+
+The current implementation serves as a good architectural example but would not work against the real ZenML Cloud API.