Azure Storage File Share Py

Azure Storage File Share SDK for Python

Manage SMB file shares for cloud-native and lift-and-shift scenarios.

Installation

pip install azure-storage-file-share

Environment Variables

AZURE_STORAGE_CONNECTION_STRING=DefaultEndpointsProtocol=https;AccountName=...;AccountKey=...
# Or
AZURE_STORAGE_ACCOUNT_URL=https://<account>.file.core.windows.net

Authentication

Connection String

from azure.storage.fileshare import ShareServiceClient

service = ShareServiceClient.from_connection_string(
    os.environ["AZURE_STORAGE_CONNECTION_STRING"]
)

Entra ID

from azure.storage.fileshare import ShareServiceClient
from azure.identity import DefaultAzureCredential

service = ShareServiceClient(
    account_url=os.environ["AZURE_STORAGE_ACCOUNT_URL"],
    credential=DefaultAzureCredential()
)

Share Operations

Create Share

share = service.create_share("my-share")

List Shares

for share in service.list_shares():
    print(f"{share.name}: {share.quota} GB")

Get Share Client

share_client = service.get_share_client("my-share")

Delete Share

service.delete_share("my-share")

Directory Operations

Create Directory

share_client = service.get_share_client("my-share")
share_client.create_directory("my-directory")

# Nested directory
share_client.create_directory("my-directory/sub-directory")

List Directories and Files

directory_client = share_client.get_directory_client("my-directory")

for item in directory_client.list_directories_and_files():
    if item["is_directory"]:
        print(f"[DIR] {item['name']}")
    else:
        print(f"[FILE] {item['name']} ({item['size']} bytes)")

Delete Directory

share_client.delete_directory("my-directory")

File Operations

Upload File

file_client = share_client.get_file_client("my-directory/file.txt")

# From string
file_client.upload_file("Hello, World!")

# From file
with open("local-file.txt", "rb") as f:
    file_client.upload_file(f)

# From bytes
file_client.upload_file(b"Binary content")

Download File

file_client = share_client.get_file_client("my-directory/file.txt")

# To bytes
data = file_client.download_file().readall()

# To file
with open("downloaded.txt", "wb") as f:
    data = file_client.download_file()
    data.readinto(f)

# Stream chunks
download = file_client.download_file()
for chunk in download.chunks():
    process(chunk)

Get File Properties

properties = file_client.get_file_properties()
print(f"Size: {properties.size}")
print(f"Content type: {properties.content_settings.content_type}")
print(f"Last modified: {properties.last_modified}")

Delete File

file_client.delete_file()

Copy File

source_url = "https://account.file.core.windows.net/share/source.txt"
dest_client = share_client.get_file_client("destination.txt")
dest_client.start_copy_from_url(source_url)

Range Operations

Upload Range

# Upload to specific range
file_client.upload_range(data=b"content", offset=0, length=7)

Download Range

# Download specific range
download = file_client.download_file(offset=0, length=100)
data = download.readall()

Snapshot Operations

Create Snapshot

snapshot = share_client.create_snapshot()
print(f"Snapshot: {snapshot['snapshot']}")

Access Snapshot

snapshot_client = service.get_share_client(
    "my-share",
    snapshot=snapshot["snapshot"]
)

Async Client

from azure.storage.fileshare.aio import ShareServiceClient
from azure.identity.aio import DefaultAzureCredential

async def upload_file():
    credential = DefaultAzureCredential()
    service = ShareServiceClient(account_url, credential=credential)
    
    share = service.get_share_client("my-share")
    file_client = share.get_file_client("test.txt")
    
    await file_client.upload_file("Hello!")
    
    await service.close()
    await credential.close()

Client Types

Best Practices

1. Use connection string for simplest setup
2. Use Entra ID for production with RBAC
3. Stream large files using chunks() to avoid memory issues
4. Create snapshots before major changes
5. Set quotas to prevent unexpected storage costs
6. Use ranges for partial file updates
7. Close async clients explicitly

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior deployment configurations, rollback procedures, and incident post-mortems. Avoid re-discovering infrastructure patterns.

# Check for prior infrastructure context before starting
python3 execution/memory_manager.py auto --query "deployment configuration and patterns for Azure Storage File Share Py"

Storing Results

After completing work, store infrastructure decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Deployment pipeline: configured blue-green deployment with health checks on port 8080" \
  --type technical --project <project> \
  --tags azure-storage-file-share-py devops

Multi-Agent Collaboration

Broadcast deployment changes so frontend and backend agents update their configurations accordingly.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Deployed infrastructure changes — updated CI/CD pipeline with new health check endpoints" \
  --project <project>

Playbook Integration

Use the ship-saas-mvp or full-stack-deploy playbook to sequence this skill with testing, documentation, and deployment verification.

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