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| import gradio as gr | |
| # Fake cloud accounts database | |
| cloud_accounts = { | |
| ("AWS", "123456789012"): { | |
| "public_cloud_provider": "AWS", | |
| "account_id": "123456789012", | |
| "cloud_account_name": "Production-Main", | |
| "owner_user_id": "AWS001", | |
| "owner_email": "cloud.admin@company.com", | |
| "deployed_applications": ["ERP System", "Customer Portal", "Data Lake"], | |
| }, | |
| ("AWS", "098765432109"): { | |
| "public_cloud_provider": "AWS", | |
| "account_id": "098765432109", | |
| "cloud_account_name": "Development-Team1", | |
| "owner_user_id": "AWS002", | |
| "owner_email": "dev.lead@company.com", | |
| "deployed_applications": ["Test Environment", "CI/CD Pipeline"], | |
| }, | |
| ("Azure", "sub-abc-123-def-456"): { | |
| "public_cloud_provider": "Azure", | |
| "account_id": "sub-abc-123-def-456", | |
| "cloud_account_name": "Enterprise-Solutions", | |
| "owner_user_id": "AZ001", | |
| "owner_email": "azure.admin@company.com", | |
| "deployed_applications": ["Microsoft 365 Integration", "Azure AD Connect"], | |
| }, | |
| ("Azure", "sub-xyz-789-uvw-321"): { | |
| "public_cloud_provider": "Azure", | |
| "account_id": "sub-xyz-789-uvw-321", | |
| "cloud_account_name": "Research-Division", | |
| "owner_user_id": "AZ002", | |
| "owner_email": "research.lead@company.com", | |
| "deployed_applications": ["ML Platform", "Research Portal"], | |
| }, | |
| ("GCP", "project-id-123456"): { | |
| "public_cloud_provider": "GCP", | |
| "account_id": "project-id-123456", | |
| "cloud_account_name": "Analytics-Platform", | |
| "owner_user_id": "GCP001", | |
| "owner_email": "gcp.admin@company.com", | |
| "deployed_applications": ["BigQuery Data Warehouse", "Kubernetes Cluster"], | |
| }, | |
| ("GCP", "project-id-789012"): { | |
| "public_cloud_provider": "GCP", | |
| "account_id": "project-id-789012", | |
| "cloud_account_name": "ML-Operations", | |
| "owner_user_id": "GCP002", | |
| "owner_email": "ml.ops@company.com", | |
| "deployed_applications": ["TensorFlow Training", "Model Serving Platform"], | |
| }, | |
| } | |
| def lookup_cloud_account(public_cloud_provider: str, account_id: str) -> dict[str, str]: | |
| """Function to lookup cloud account information. | |
| Returns a formatted string with account details if | |
| found, otherwise returns error message. | |
| """ | |
| account_key = (public_cloud_provider, account_id) | |
| if account_key in cloud_accounts: | |
| account = cloud_accounts[account_key] | |
| return { | |
| "public_cloud_provider": f"{account['public_cloud_provider']}", | |
| "account_id": f"{account['account_id']}", | |
| "cloud_account_name": f"{account['cloud_account_name']}", | |
| "owner_user_id": f"{account['owner_user_id']}", | |
| "owner_email": f"{account['owner_email']}", | |
| "deployed_applications": f"{account['deployed_applications']!s}", | |
| } | |
| return { | |
| "error": "Account not found", | |
| "public_cloud_provider": f"{public_cloud_provider}", | |
| "account_id": f"{account_id}", | |
| "message": "No cloud account information found", | |
| } | |
| # Create Gradio Interface | |
| gr_lookup_company_cloud_account_information = gr.Interface( | |
| fn=lookup_cloud_account, | |
| inputs=[ | |
| gr.Dropdown( | |
| choices=["AWS", "Azure", "GCP"], | |
| label="Cloud Provider", | |
| info="Select the cloud provider", | |
| ), | |
| "text", | |
| ], | |
| outputs="text", | |
| title="Company Cloud Account Lookup System", | |
| description=""" | |
| Look up Company cloud account information by provider and account ID. | |
| Sample Account IDs: | |
| AWS: 123456789012, 098765432109 | |
| Azure: sub-abc-123-def-456, sub-xyz-789-uvw-321 | |
| GCP: project-id-123456, project-id-789012 | |
| """, | |
| theme="default", | |
| ) | |