快速判断
Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.
适合任务
- 把重复任务整理成可复用的 AI 操作流程。
- 让 AI 在特定场景下按统一规范执行。
- 为团队或个人工作流提供可复制的任务说明。
输入与输出
输入:任务目标、上下文材料、文件路径、约束条件或需要处理的内容。
输出:按 Skill 说明生成的文档、代码、检查结果、计划、建议或操作步骤。
示例任务
- 使用 azure-mgmt-fabric-py 帮我处理当前任务,并说明执行前需要确认的输入。
- 根据 azure-mgmt-fabric-py 的说明,给我一个安全的使用步骤清单。
安装方式
- 下载本站提供的 Skill ZIP 并解压。
- 把解压后的 Skill 目录放入当前 AI 工具支持的
skills目录。 - 如需在线查看原始内容,可打开 GitHub 的
SKILL.md。
风险边界
使用前请检查权限、外部依赖和要处理的数据类型。不要把密码、密钥、身份信息或敏感客户资料交给未经确认的 Skill。
SKILL.md 文档介绍
Azure Fabric Management SDK for Python
Manage Microsoft Fabric capacities and resources programmatically.
Installation
pip install azure-mgmt-fabric
pip install azure-identityEnvironment Variables
AZURE_SUBSCRIPTION_ID=<your-subscription-id>
AZURE_RESOURCE_GROUP=<your-resource-group>Authentication
from azure.identity import DefaultAzureCredential
from azure.mgmt.fabric import FabricMgmtClient
import os
credential = DefaultAzureCredential()
client = FabricMgmtClient(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)Create Fabric Capacity
from azure.mgmt.fabric import FabricMgmtClient
from azure.mgmt.fabric.models import FabricCapacity, FabricCapacityProperties, CapacitySku
from azure.identity import DefaultAzureCredential
import os
credential = DefaultAzureCredential()
client = FabricMgmtClient(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)
resource_group = os.environ["AZURE_RESOURCE_GROUP"]
capacity_name = "myfabriccapacity"
capacity = client.fabric_capacities.begin_create_or_update(
resource_group_name=resource_group,
capacity_name=capacity_name,
resource=FabricCapacity(
location="eastus",
sku=CapacitySku(
name="F2", # Fabric SKU
tier="Fabric"
),
properties=FabricCapacityProperties(
administration=FabricCapacityAdministration(
members=["user@contoso.com"]
)
)
)
).result()
print(f"Capacity created: {capacity.name}")Get Capacity Details
capacity = client.fabric_capacities.get(
resource_group_name=resource_group,
capacity_name=capacity_name
)
print(f"Capacity: {capacity.name}")
print(f"SKU: {capacity.sku.name}")
print(f"State: {capacity.properties.state}")
print(f"Location: {capacity.location}")List Capacities in Resource Group
capacities = client.fabric_capacities.list_by_resource_group(
resource_group_name=resource_group
)
for capacity in capacities:
print(f"Capacity: {capacity.name} - SKU: {capacity.sku.name}")List All Capacities in Subscription
all_capacities = client.fabric_capacities.list_by_subscription()
for capacity in all_capacities:
print(f"Capacity: {capacity.name} in {capacity.location}")Update Capacity
from azure.mgmt.fabric.models import FabricCapacityUpdate, CapacitySku
updated = client.fabric_capacities.begin_update(
resource_group_name=resource_group,
capacity_name=capacity_name,
properties=FabricCapacityUpdate(
sku=CapacitySku(
name="F4", # Scale up
tier="Fabric"
),
tags={"environment": "production"}
)
).result()
print(f"Updated SKU: {updated.sku.name}")Suspend Capacity
Pause capacity to stop billing:
client.fabric_capacities.begin_suspend(
resource_group_name=resource_group,
capacity_name=capacity_name
).result()
print("Capacity suspended")Resume Capacity
Resume a paused capacity:
client.fabric_capacities.begin_resume(
resource_group_name=resource_group,
capacity_name=capacity_name
).result()
print("Capacity resumed")Delete Capacity
client.fabric_capacities.begin_delete(
resource_group_name=resource_group,
capacity_name=capacity_name
).result()
print("Capacity deleted")Check Name Availability
from azure.mgmt.fabric.models import CheckNameAvailabilityRequest
result = client.fabric_capacities.check_name_availability(
location="eastus",
body=CheckNameAvailabilityRequest(
name="my-new-capacity",
type="Microsoft.Fabric/capacities"
)
)
if result.name_available:
print("Name is available")
else:
print(f"Name not available: {result.reason}")List Available SKUs
skus = client.fabric_capacities.list_skus(
resource_group_name=resource_group,
capacity_name=capacity_name
)
for sku in skus:
print(f"SKU: {sku.name} - Tier: {sku.tier}")Client Operations
| Operation | Method |
|-----------|--------|
| client.fabric_capacities | Capacity CRUD operations |
| client.operations | List available operations |
Fabric SKUs
| SKU | Description | CUs |
|-----|-------------|-----|
| F2 | Entry level | 2 Capacity Units |
| F4 | Small | 4 Capacity Units |
| F8 | Medium | 8 Capacity Units |
| F16 | Large | 16 Capacity Units |
| F32 | X-Large | 32 Capacity Units |
| F64 | 2X-Large | 64 Capacity Units |
| F128 | 4X-Large | 128 Capacity Units |
| F256 | 8X-Large | 256 Capacity Units |
| F512 | 16X-Large | 512 Capacity Units |
| F1024 | 32X-Large | 1024 Capacity Units |
| F2048 | 64X-Large | 2048 Capacity Units |
Capacity States
| State | Description |
|-------|-------------|
| Active | Capacity is running |
| Paused | Capacity is suspended (no billing) |
| Provisioning | Being created |
| Updating | Being modified |
| Deleting | Being removed |
| Failed | Operation failed |
Long-Running Operations
All mutating operations are long-running (LRO). Use .result() to wait:
# Synchronous wait
capacity = client.fabric_capacities.begin_create_or_update(...).result()
# Or poll manually
poller = client.fabric_capacities.begin_create_or_update(...)
while not poller.done():
print(f"Status: {poller.status()}")
time.sleep(5)
capacity = poller.result()Best Practices
1. Use DefaultAzureCredential for authentication
2. Suspend unused capacities to reduce costs
3. Start with smaller SKUs and scale up as needed
4. Use tags for cost tracking and organization
5. Check name availability before creating capacities
6. Handle LRO properly — don't assume immediate completion
7. Set up capacity admins — specify users who can manage workspaces
8. Monitor capacity usage via Azure Monitor metrics
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.