Microsoft Azure File DataLake Storage Client Library for Python
Overall
score
92%
{
"context": "This criteria evaluates how well the engineer uses azure-storage-file-datalake package to implement file system lifecycle operations including creation, deletion, existence checking, and property retrieval. The focus is on proper usage of FileSystemClient methods and error handling.",
"type": "weighted_checklist",
"checklist": [
{
"name": "FileSystemClient usage",
"description": "Uses get_file_system_client() method from DataLakeServiceClient to obtain FileSystemClient instances for operations",
"max_score": 20
},
{
"name": "create_file_system method",
"description": "Uses create_file_system() method with proper metadata parameter handling for creating new file systems",
"max_score": 20
},
{
"name": "delete_file_system method",
"description": "Uses delete_file_system() method for removing file systems",
"max_score": 15
},
{
"name": "exists method",
"description": "Uses exists() method from FileSystemClient to check file system existence",
"max_score": 15
},
{
"name": "get_file_system_properties method",
"description": "Uses get_file_system_properties() method to retrieve file system properties and metadata",
"max_score": 20
},
{
"name": "Exception handling",
"description": "Properly handles ResourceExistsError for create operations and ResourceNotFoundError for delete/get operations using try-except blocks",
"max_score": 10
}
]
}Install with Tessl CLI
npx tessl i tessl/pypi-azure-storage-file-datalakedocs
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