Region Models
Overview
Region objects define geographic locations and network addresses in Palo Alto Networks' Strata Cloud Manager. These models provide the structure for creating, updating, and retrieving region configurations.
Models
The module provides the following Pydantic models:
GeoLocation: Represents the geographic coordinates of a regionRegionBaseModel: Base model with fields common to all region operationsRegionCreateModel: Model for creating new region objectsRegionUpdateModel: Model for updating existing region objectsRegionResponseModel: Response model for region operations
All models use extra="forbid" configuration, which rejects any fields not explicitly defined in the model.
Note: The description and tag fields are included in the SDK models for consistency with other object types, but they are not supported by the Strata Cloud Manager API for Region objects. They will be automatically excluded when sending requests to the API.
GeoLocation
The GeoLocation model defines the geographic coordinates of a region with valid latitude and longitude values.
| Attribute | Type | Required | Default | Description |
|---|---|---|---|---|
| latitude | float | Yes | - | The latitudinal position (-90 to 90 degrees) |
| longitude | float | Yes | - | The longitudinal position (-180 to 180 degrees) |
RegionBaseModel
The RegionBaseModel contains fields common to all region CRUD operations.
| Attribute | Type | Required | Default | Description |
|---|---|---|---|---|
| name | str | Yes | - | The name of the region (max length: 64) |
| description | Optional[str] | No | None | A description of the region (not sent to API) |
| tag | Optional[List[str]] | No | None | A list of tags associated with the region (not sent to API) |
| geo_location | Optional[GeoLocation] | No | None | The geographic location of the region |
| address | Optional[List[str]] | No | None | A list of addresses associated with the region |
| folder | Optional[str] | No | None | The folder in which the resource is defined (max length: 64) |
| snippet | Optional[str] | No | None | The snippet in which the resource is defined (max length: 64) |
| device | Optional[str] | No | None | The device in which the resource is defined (max length: 64) |
Field Validators
The model includes validators for the address and tag fields:
@field_validator("address", "tag", mode="before")
def ensure_list_of_strings(cls, v):
"""Converts single string to list if needed."""
if v is None:
return v
if isinstance(v, str):
return [v]
if isinstance(v, list):
return v
raise ValueError("Value must be a string or a list of strings")
@field_validator("address")
def ensure_unique_addresses(cls, v):
"""Ensures all addresses in the list are unique."""
if v is not None and len(v) != len(set(v)):
raise ValueError("List of addresses must contain unique values")
return v
@field_validator("tag")
def ensure_unique_tags(cls, v):
"""Ensures all tags in the list are unique."""
if v is not None and len(v) != len(set(v)):
raise ValueError("List of tags must contain unique values")
return v
RegionCreateModel
The RegionCreateModel extends the base model and includes validation to ensure that exactly one container type is provided.
| Attribute | Type | Required | Default | Description |
|---|---|---|---|---|
| All attributes from RegionBaseModel |
Container Type Validation
When creating a region, exactly one of the following container types must be provided:
- folder: The folder in which the resource is defined
- snippet: The snippet in which the resource is defined
- device: The device in which the resource is defined
This validation is enforced by the validate_container_type model validator.
@model_validator(mode="after")
def validate_container_type(self) -> "RegionCreateModel":
"""Validates that exactly one container type is provided."""
container_fields = [
"folder",
"snippet",
"device",
]
provided = [
field for field in container_fields if getattr(self, field) is not None
]
if len(provided) != 1:
raise ValueError(
"Exactly one of 'folder', 'snippet', or 'device' must be provided."
)
return self
RegionUpdateModel
The RegionUpdateModel extends the base model and adds the ID field required for updating existing region objects.
| Attribute | Type | Required | Default | Description |
|---|---|---|---|---|
| id | UUID | Yes | - | The UUID of the region |
| All attributes from RegionBaseModel |
RegionResponseModel
The RegionResponseModel extends the base model and includes the ID field returned in API responses.
| Attribute | Type | Required | Default | Description |
|---|---|---|---|---|
| id | Optional[UUID] | No | None | The UUID of the region (may be missing for predefined) |
| All attributes from RegionBaseModel |
Note: The id field is optional because predefined regions may not have an ID.
Usage Examples
Creating a Region
from scm.client import ScmClient
# Initialize client
client = ScmClient(
client_id="your_client_id",
client_secret="your_client_secret",
tsg_id="your_tsg_id"
)
# Create a region with a geographic location
region_data = {
"name": "us-west-region",
"folder": "Global",
"geo_location": {
"latitude": 37.7749,
"longitude": -122.4194
},
"address": ["10.0.0.0/8", "192.168.1.0/24"]
}
response = client.region.create(region_data)
print(f"Created region: {response.name} (ID: {response.id})")
Creating a Region in a Snippet
# Create a region in a snippet
region_data = {
"name": "europe-region",
"snippet": "EU Configs",
"geo_location": {
"latitude": 51.5074,
"longitude": -0.1278
}
}
response = client.region.create(region_data)
Updating an Existing Region
# Fetch existing region
existing = client.region.fetch(name="us-west-region", folder="Global")
# Modify attributes using dot notation
existing.address = existing.address + ["172.16.0.0/16"]
existing.geo_location = {
"latitude": 40.7128,
"longitude": -74.0060
}
# Pass modified object to update()
updated = client.region.update(existing)
print(f"Updated region addresses: {updated.address}")
Working with Response Models
# List and process regions
regions = client.region.list(folder="Global")
for region in regions:
print(f"Region: {region.name}")
if region.id:
print(f" ID: {region.id}")
else:
print(" ID: (predefined region)")
if region.geo_location:
print(f" Location: {region.geo_location.latitude}, {region.geo_location.longitude}")
if region.address:
print(f" Addresses: {', '.join(region.address)}")
Best Practices
Geographic Locations
- Provide accurate latitude and longitude coordinates
- Use decimal degrees format for coordinates
- Ensure coordinates are within valid ranges (latitude: -90 to 90, longitude: -180 to 180)
Address Management
- Use CIDR notation for IP networks (e.g., "10.0.0.0/8")
- Keep address lists concise and organized by logical grouping
- Avoid overlapping network ranges when possible
- Ensure all addresses in a region's list are unique
Container Management
- Always specify exactly one container type (folder, snippet, or device)
- Use consistent naming conventions for regions
- Organize regions logically by geographic location or network function
Validation
- Handle validation errors appropriately in your application
- Check for input errors, especially with latitude/longitude ranges
- Remember that predefined regions may not have an ID
Related Models
- Address Models: For defining IP addresses that can be referenced by regions
- Tag Models: For adding tags to classify and organize regions