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2
thousandeyes-sdk-administrative/README.md
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@ -12,7 +12,7 @@ This API provides the following operations to manage your organization:
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-agents/README.md
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@ -5,7 +5,7 @@ Manage Cloud and Enterprise Agents available to your account in ThousandEyes.
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-alerts/README.md
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@ -14,7 +14,7 @@ For more information about the alerts, see [Alerts](https://docs.thousandeyes.co
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-bgp-monitors/README.md
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@ -10,7 +10,7 @@ For more information about monitors, see [Inside-Out BGP Visibility](https://doc
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-connectors/README.md
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@ -6,7 +6,7 @@ Manage connectors and operations.
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-credentials/README.md
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@ -13,7 +13,7 @@ For more information about credentials, see [Working With Secure Credentials](ht
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-dashboards/README.md
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@ -3,7 +3,7 @@ Manage ThousandEyes Dashboards.
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-emulation/README.md
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@ -11,7 +11,7 @@ To access Emulation API operations, the following permissions are required:
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

42
thousandeyes-sdk-endpoint-agents/.openapi-generator/FILES
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@ -24,6 +24,10 @@ docs/ConnectionString.md
docs/EndpointAgent.md
docs/EndpointAgentEthernetProfile.md
docs/EndpointAgentLocation.md
docs/EndpointAgentLogItem.md
docs/EndpointAgentLogItemType.md
docs/EndpointAgentLogItemsApi.md
docs/EndpointAgentLogItemsResponse.md
docs/EndpointAgentUpdate.md
docs/EndpointAgents.md
docs/EndpointAgentsApi.md
@ -31,8 +35,24 @@ docs/EndpointAgentsTransferApi.md
docs/EndpointAsnDetails.md
docs/EndpointBrowserExtension.md
docs/EndpointClient.md
docs/EndpointOnlineOfflineLogItem.md
docs/EndpointOnlineOfflineLogItemType.md
docs/EndpointProxiesApi.md
docs/EndpointProxiesResponse.md
docs/EndpointProxy.md
docs/EndpointProxyAuthType.md
docs/EndpointProxyType.md
docs/EndpointStateChangesLogItem.md
docs/EndpointStateChangesLogItemType.md
docs/EndpointUserProfile.md
docs/EndpointVpnLogItem.md
docs/EndpointVpnLogItemType.md
docs/EndpointVpnProfile.md
docs/EndpointVpnType.md
docs/EndpointWifiLogItem.md
docs/EndpointWifiLogItemType.md
docs/EndpointWirelessConnectionFailure.md
docs/EndpointWirelessConnectionFailureType.md
docs/Error.md
docs/ExpandEndpointAgentOptions.md
docs/ExternalMetadataItem.md
@ -57,8 +77,10 @@ pyproject.toml
setup.cfg
src/thousandeyes_sdk/endpoint_agents/__init__.py
src/thousandeyes_sdk/endpoint_agents/api/__init__.py
src/thousandeyes_sdk/endpoint_agents/api/endpoint_agent_log_items_api.py
src/thousandeyes_sdk/endpoint_agents/api/endpoint_agents_api.py
src/thousandeyes_sdk/endpoint_agents/api/endpoint_agents_transfer_api.py
src/thousandeyes_sdk/endpoint_agents/api/endpoint_proxies_api.py
src/thousandeyes_sdk/endpoint_agents/models/__init__.py
src/thousandeyes_sdk/endpoint_agents/models/address_profile.py
src/thousandeyes_sdk/endpoint_agents/models/address_type.py
@ -83,13 +105,31 @@ src/thousandeyes_sdk/endpoint_agents/models/connection_string.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_agent.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_agent_ethernet_profile.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_agent_location.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_agent_log_item.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_agent_log_item_type.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_agent_log_items_response.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_agent_update.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_agents.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_asn_details.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_browser_extension.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_client.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_online_offline_log_item.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_online_offline_log_item_type.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_proxies_response.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_proxy.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_proxy_auth_type.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_proxy_type.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_state_changes_log_item.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_state_changes_log_item_type.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_user_profile.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_vpn_log_item.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_vpn_log_item_type.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_vpn_profile.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_vpn_type.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_wifi_log_item.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_wifi_log_item_type.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_wireless_connection_failure.py
src/thousandeyes_sdk/endpoint_agents/models/endpoint_wireless_connection_failure_type.py
src/thousandeyes_sdk/endpoint_agents/models/error.py
src/thousandeyes_sdk/endpoint_agents/models/expand_endpoint_agent_options.py
src/thousandeyes_sdk/endpoint_agents/models/external_metadata_item.py
@ -112,6 +152,8 @@ src/thousandeyes_sdk/endpoint_agents/models/vpn_type.py
src/thousandeyes_sdk/endpoint_agents/models/wireless_profile.py
src/thousandeyes_sdk/endpoint_agents/py.typed
test/__init__.py
test/test_endpoint_agent_log_items_api.py
test/test_endpoint_agents_api.py
test/test_endpoint_agents_transfer_api.py
test/test_endpoint_proxies_api.py
test/test_utils.py

38
thousandeyes-sdk-endpoint-agents/README.md
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@ -7,7 +7,7 @@ For more information about Endpoint Agents, see [Endpoint Agents](https://docs.t
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
@ -79,16 +79,22 @@ configuration = thousandeyes_sdk.core.Configuration(
# Enter a context with an instance of the API client
with thousandeyes_sdk.core.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = thousandeyes_sdk.endpoint_agents.EndpointAgentsApi(api_client)
api_instance = thousandeyes_sdk.endpoint_agents.EndpointAgentLogItemsApi(api_client)
agent_id = 'agent_id_example' # str | The identifier of the agent to operate on.
aid = '1234' # str | A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response. (optional)
expand = [thousandeyes_sdk.endpoint_agents.ExpandEndpointAgentOptions()] # List[ExpandEndpointAgentOptions] | This optional parameter allows you to control the expansion of test resources associated with the agent. By default, no expansion occurs when this query parameter is omitted. To expand the \"clients\" resource, include the query parameter `?expand=clients`. For multiple expansions, you have two options: * Separate the values with commas. For example, `?expandAgent=clients,tasks`. * Specify the parameter multiple times. For example, `?expandAgent=clients&expandAgent=tasks`. This parameter offers flexibility for users to customize the expansion of specific resources related to the agent. (optional)
max = 1000 # int | Maximum number of log items returned per page. (optional) (default to 1000)
cursor = 'WyIxNzA5MjQwMDAwMDAwIl0=' # str | Opaque cursor from the `_links.next.href` URL in the previous response. (optional)
window = '12h' # str | A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`. (optional)
start_date = '2022-07-17T22:00:54Z' # datetime | Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`. (optional)
end_date = '2022-07-18T22:00:54Z' # datetime | Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`. (optional)
try:
# Delete endpoint agent
api_instance.delete_endpoint_agent(agent_id, aid=aid, expand=expand)
# List endpoint agent log items
api_response = api_instance.get_endpoint_agent_log_items(agent_id, aid=aid, max=max, cursor=cursor, window=window, start_date=start_date, end_date=end_date)
print("The response of EndpointAgentLogItemsApi->get_endpoint_agent_log_items:\n")
pprint(api_response)
except ApiException as e:
print("Exception when calling EndpointAgentsApi->delete_endpoint_agent: %s\n" % e)
print("Exception when calling EndpointAgentLogItemsApi->get_endpoint_agent_log_items: %s\n" % e)
```
@ -98,6 +104,7 @@ All URIs are relative to *https://api.thousandeyes.com/v7*
Class | Method | HTTP request | Description
------------ | ------------- | ------------- | -------------
*EndpointAgentLogItemsApi* | [**get_endpoint_agent_log_items**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentLogItemsApi.md#get_endpoint_agent_log_items) | **GET** /endpoint/agents/{agentId}/logs | List endpoint agent log items
*EndpointAgentsApi* | [**delete_endpoint_agent**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentsApi.md#delete_endpoint_agent) | **DELETE** /endpoint/agents/{agentId} | Delete endpoint agent
*EndpointAgentsApi* | [**disable_endpoint_agent**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentsApi.md#disable_endpoint_agent) | **POST** /endpoint/agents/{agentId}/disable | Disable endpoint agent
*EndpointAgentsApi* | [**enable_endpoint_agent**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentsApi.md#enable_endpoint_agent) | **POST** /endpoint/agents/{agentId}/enable | Enable endpoint agent
@ -108,6 +115,7 @@ Class | Method | HTTP request | Description
*EndpointAgentsApi* | [**update_endpoint_agent**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentsApi.md#update_endpoint_agent) | **PATCH** /endpoint/agents/{agentId} | Update endpoint agent
*EndpointAgentsTransferApi* | [**transfer_endpoint_agent**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentsTransferApi.md#transfer_endpoint_agent) | **POST** /endpoint/agents/{agentId}/transfer | Transfer endpoint agent
*EndpointAgentsTransferApi* | [**transfer_endpoint_agents**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentsTransferApi.md#transfer_endpoint_agents) | **POST** /endpoint/agents/transfer/bulk | Bulk transfer agents
*EndpointProxiesApi* | [**get_endpoint_proxies**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointProxiesApi.md#get_endpoint_proxies) | **GET** /endpoint/proxies | List endpoint proxy settings
## Documentation For Models
@ -135,13 +143,31 @@ Class | Method | HTTP request | Description
- [EndpointAgent](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgent.md)
- [EndpointAgentEthernetProfile](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentEthernetProfile.md)
- [EndpointAgentLocation](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentLocation.md)
- [EndpointAgentLogItem](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentLogItem.md)
- [EndpointAgentLogItemType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentLogItemType.md)
- [EndpointAgentLogItemsResponse](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentLogItemsResponse.md)
- [EndpointAgentUpdate](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgentUpdate.md)
- [EndpointAgents](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAgents.md)
- [EndpointAsnDetails](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointAsnDetails.md)
- [EndpointBrowserExtension](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointBrowserExtension.md)
- [EndpointClient](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointClient.md)
- [EndpointOnlineOfflineLogItem](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointOnlineOfflineLogItem.md)
- [EndpointOnlineOfflineLogItemType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointOnlineOfflineLogItemType.md)
- [EndpointProxiesResponse](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointProxiesResponse.md)
- [EndpointProxy](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointProxy.md)
- [EndpointProxyAuthType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointProxyAuthType.md)
- [EndpointProxyType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointProxyType.md)
- [EndpointStateChangesLogItem](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointStateChangesLogItem.md)
- [EndpointStateChangesLogItemType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointStateChangesLogItemType.md)
- [EndpointUserProfile](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointUserProfile.md)
- [EndpointVpnLogItem](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointVpnLogItem.md)
- [EndpointVpnLogItemType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointVpnLogItemType.md)
- [EndpointVpnProfile](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointVpnProfile.md)
- [EndpointVpnType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointVpnType.md)
- [EndpointWifiLogItem](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointWifiLogItem.md)
- [EndpointWifiLogItemType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointWifiLogItemType.md)
- [EndpointWirelessConnectionFailure](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointWirelessConnectionFailure.md)
- [EndpointWirelessConnectionFailureType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/EndpointWirelessConnectionFailureType.md)
- [Error](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/Error.md)
- [ExpandEndpointAgentOptions](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/ExpandEndpointAgentOptions.md)
- [ExternalMetadataItem](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-agents/docs/ExternalMetadataItem.md)

35
thousandeyes-sdk-endpoint-agents/docs/EndpointAgentLogItem.md Normal file
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@ -0,0 +1,35 @@
# EndpointAgentLogItem
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**id** | **str** | Unique ID of the log item. | [optional] [readonly]
**agent_log_item_type** | [**EndpointAgentLogItemType**](EndpointAgentLogItemType.md) | | [optional]
**timestamp_ms** | **int** | Time when the log item was recorded, in milliseconds since the Unix epoch. | [optional] [readonly]
**wifi_log_item** | [**EndpointWifiLogItem**](EndpointWifiLogItem.md) | | [optional]
**vpn_log_item** | [**EndpointVpnLogItem**](EndpointVpnLogItem.md) | | [optional]
**online_offline_log_item** | [**EndpointOnlineOfflineLogItem**](EndpointOnlineOfflineLogItem.md) | | [optional]
**state_changes_log_item** | [**EndpointStateChangesLogItem**](EndpointStateChangesLogItem.md) | | [optional]
## Example
```python
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_item import EndpointAgentLogItem
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointAgentLogItem from a JSON string
endpoint_agent_log_item_instance = EndpointAgentLogItem.from_json(json)
# print the JSON string representation of the object
print(EndpointAgentLogItem.to_json())
# convert the object into a dict
endpoint_agent_log_item_dict = endpoint_agent_log_item_instance.to_dict()
# create an instance of EndpointAgentLogItem from a dict
endpoint_agent_log_item_from_dict = EndpointAgentLogItem.from_dict(endpoint_agent_log_item_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

12
thousandeyes-sdk-endpoint-agents/docs/EndpointAgentLogItemType.md Normal file
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@ -0,0 +1,12 @@
# EndpointAgentLogItemType
Agent log item category.
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

106
thousandeyes-sdk-endpoint-agents/docs/EndpointAgentLogItemsApi.md Normal file
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@ -0,0 +1,106 @@
# thousandeyes_sdk.endpoint_agents.EndpointAgentLogItemsApi
All URIs are relative to *https://api.thousandeyes.com/v7*
Method | HTTP request | Description
------------- | ------------- | -------------
[**get_endpoint_agent_log_items**](EndpointAgentLogItemsApi.md#get_endpoint_agent_log_items) | **GET** /endpoint/agents/{agentId}/logs | List endpoint agent log items
# **get_endpoint_agent_log_items**
> EndpointAgentLogItemsResponse get_endpoint_agent_log_items(agent_id, aid=aid, max=max, cursor=cursor, window=window, start_date=start_date, end_date=end_date)
List endpoint agent log items
Returns paginated logs for an endpoint agent within the requested time range.
### Example
* Bearer Authentication (BearerAuth):
```python
import thousandeyes_sdk.endpoint_agents
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_items_response import EndpointAgentLogItemsResponse
from thousandeyes_sdk.endpoint_agents.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://api.thousandeyes.com/v7
# See configuration.py for a list of all supported configuration parameters.
configuration = thousandeyes_sdk.core.Configuration(
host = "https://api.thousandeyes.com/v7"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure Bearer authorization: BearerAuth
configuration = thousandeyes_sdk.core.Configuration(
access_token = os.environ["BEARER_TOKEN"]
)
# Enter a context with an instance of the API client
with thousandeyes_sdk.core.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = thousandeyes_sdk.endpoint_agents.EndpointAgentLogItemsApi(api_client)
agent_id = 'agent_id_example' # str | The identifier of the agent to operate on.
aid = '1234' # str | A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response. (optional)
max = 1000 # int | Maximum number of log items returned per page. (optional) (default to 1000)
cursor = 'WyIxNzA5MjQwMDAwMDAwIl0=' # str | Opaque cursor from the `_links.next.href` URL in the previous response. (optional)
window = '12h' # str | A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`. (optional)
start_date = '2022-07-17T22:00:54Z' # datetime | Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`. (optional)
end_date = '2022-07-18T22:00:54Z' # datetime | Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`. (optional)
try:
# List endpoint agent log items
api_response = api_instance.get_endpoint_agent_log_items(agent_id, aid=aid, max=max, cursor=cursor, window=window, start_date=start_date, end_date=end_date)
print("The response of EndpointAgentLogItemsApi->get_endpoint_agent_log_items:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling EndpointAgentLogItemsApi->get_endpoint_agent_log_items: %s\n" % e)
```
### Parameters
Name | Type | Description | Notes
------------- | ------------- | ------------- | -------------
**agent_id** | **str**| The identifier of the agent to operate on. |
**aid** | **str**| A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response. | [optional]
**max** | **int**| Maximum number of log items returned per page. | [optional] [default to 1000]
**cursor** | **str**| Opaque cursor from the `_links.next.href` URL in the previous response. | [optional]
**window** | **str**| A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`. | [optional]
**start_date** | **datetime**| Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`. | [optional]
**end_date** | **datetime**| Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`. | [optional]
### Return type
[**EndpointAgentLogItemsResponse**](EndpointAgentLogItemsResponse.md)
### Authorization
[BearerAuth](../README.md#BearerAuth)
### HTTP request headers
- **Content-Type**: Not defined
- **Accept**: application/hal+json, application/json, application/problem+json
### HTTP response details
| Status code | Description | Response headers |
|-------------|-------------|------------------|
**200** | Paginated logs for the endpoint agent. | - |
**400** | Bad Request | - |
**401** | Unauthorized | - |
**403** | Insufficient permissions to query endpoint | - |
**429** | Exhausted rate limit for the organization | - |
**500** | Internal server error | - |
**502** | Bad Gateway | - |
**0** | An error occurred | - |
[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)

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# EndpointAgentLogItemsResponse
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**logs** | [**List[EndpointAgentLogItem]**](EndpointAgentLogItem.md) | Log items for the endpoint agent. |
**links** | [**PaginationNextAndSelfLink**](PaginationNextAndSelfLink.md) | | [optional]
## Example
```python
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_items_response import EndpointAgentLogItemsResponse
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointAgentLogItemsResponse from a JSON string
endpoint_agent_log_items_response_instance = EndpointAgentLogItemsResponse.from_json(json)
# print the JSON string representation of the object
print(EndpointAgentLogItemsResponse.to_json())
# convert the object into a dict
endpoint_agent_log_items_response_dict = endpoint_agent_log_items_response_instance.to_dict()
# create an instance of EndpointAgentLogItemsResponse from a dict
endpoint_agent_log_items_response_from_dict = EndpointAgentLogItemsResponse.from_dict(endpoint_agent_log_items_response_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointOnlineOfflineLogItem
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**log_item_type** | [**EndpointOnlineOfflineLogItemType**](EndpointOnlineOfflineLogItemType.md) | | [optional]
## Example
```python
from thousandeyes_sdk.endpoint_agents.models.endpoint_online_offline_log_item import EndpointOnlineOfflineLogItem
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointOnlineOfflineLogItem from a JSON string
endpoint_online_offline_log_item_instance = EndpointOnlineOfflineLogItem.from_json(json)
# print the JSON string representation of the object
print(EndpointOnlineOfflineLogItem.to_json())
# convert the object into a dict
endpoint_online_offline_log_item_dict = endpoint_online_offline_log_item_instance.to_dict()
# create an instance of EndpointOnlineOfflineLogItem from a dict
endpoint_online_offline_log_item_from_dict = EndpointOnlineOfflineLogItem.from_dict(endpoint_online_offline_log_item_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointOnlineOfflineLogItemType
Online/offline log item type.
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# thousandeyes_sdk.endpoint_agents.EndpointProxiesApi
All URIs are relative to *https://api.thousandeyes.com/v7*
Method | HTTP request | Description
------------- | ------------- | -------------
[**get_endpoint_proxies**](EndpointProxiesApi.md#get_endpoint_proxies) | **GET** /endpoint/proxies | List endpoint proxy settings
# **get_endpoint_proxies**
> EndpointProxiesResponse get_endpoint_proxies(aid=aid)
List endpoint proxy settings
Returns proxy settings for endpoint agents. Proxy passwords are never returned.
### Example
* Bearer Authentication (BearerAuth):
```python
import thousandeyes_sdk.endpoint_agents
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxies_response import EndpointProxiesResponse
from thousandeyes_sdk.endpoint_agents.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://api.thousandeyes.com/v7
# See configuration.py for a list of all supported configuration parameters.
configuration = thousandeyes_sdk.core.Configuration(
host = "https://api.thousandeyes.com/v7"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure Bearer authorization: BearerAuth
configuration = thousandeyes_sdk.core.Configuration(
access_token = os.environ["BEARER_TOKEN"]
)
# Enter a context with an instance of the API client
with thousandeyes_sdk.core.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = thousandeyes_sdk.endpoint_agents.EndpointProxiesApi(api_client)
aid = '1234' # str | A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response. (optional)
try:
# List endpoint proxy settings
api_response = api_instance.get_endpoint_proxies(aid=aid)
print("The response of EndpointProxiesApi->get_endpoint_proxies:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling EndpointProxiesApi->get_endpoint_proxies: %s\n" % e)
```
### Parameters
Name | Type | Description | Notes
------------- | ------------- | ------------- | -------------
**aid** | **str**| A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response. | [optional]
### Return type
[**EndpointProxiesResponse**](EndpointProxiesResponse.md)
### Authorization
[BearerAuth](../README.md#BearerAuth)
### HTTP request headers
- **Content-Type**: Not defined
- **Accept**: application/json, application/problem+json
### HTTP response details
| Status code | Description | Response headers |
|-------------|-------------|------------------|
**200** | Proxy settings for endpoint agents. | - |
**401** | Unauthorized | - |
**403** | Insufficient permissions to query endpoint | - |
**429** | Exhausted rate limit for the organization | - |
**500** | Internal server error | - |
**0** | An error occurred | - |
[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)

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# EndpointProxiesResponse
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**proxies** | [**List[EndpointProxy]**](EndpointProxy.md) | Proxy settings configured for endpoint agents. |
## Example
```python
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxies_response import EndpointProxiesResponse
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointProxiesResponse from a JSON string
endpoint_proxies_response_instance = EndpointProxiesResponse.from_json(json)
# print the JSON string representation of the object
print(EndpointProxiesResponse.to_json())
# convert the object into a dict
endpoint_proxies_response_dict = endpoint_proxies_response_instance.to_dict()
# create an instance of EndpointProxiesResponse from a dict
endpoint_proxies_response_from_dict = EndpointProxiesResponse.from_dict(endpoint_proxies_response_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointProxy
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**proxy_id** | **str** | Unique ID of the proxy setting. | [optional] [readonly]
**name** | **str** | Proxy setting name. | [optional] [readonly]
**type** | [**EndpointProxyType**](EndpointProxyType.md) | | [optional]
**host** | **str** | Static proxy host name or IP address. | [optional] [readonly]
**port** | **int** | Static proxy port. | [optional] [readonly]
**pac** | **str** | PAC URL or PAC script location. | [optional] [readonly]
**user_name** | **str** | Proxy authentication user name. | [optional] [readonly]
**bypass_list** | **str** | Comma-separated proxy bypass list. | [optional] [readonly]
**auth_type** | [**EndpointProxyAuthType**](EndpointProxyAuthType.md) | | [optional]
**agent_ids** | **List[str]** | Endpoint Agent IDs assigned to the proxy setting. | [optional]
**test_ids** | **List[str]** | Endpoint scheduled test IDs assigned to the proxy setting. | [optional]
## Example
```python
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxy import EndpointProxy
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointProxy from a JSON string
endpoint_proxy_instance = EndpointProxy.from_json(json)
# print the JSON string representation of the object
print(EndpointProxy.to_json())
# convert the object into a dict
endpoint_proxy_dict = endpoint_proxy_instance.to_dict()
# create an instance of EndpointProxy from a dict
endpoint_proxy_from_dict = EndpointProxy.from_dict(endpoint_proxy_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointProxyAuthType
Proxy authentication type.
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointProxyType
Proxy setting type.
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointStateChangesLogItem
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**log_item_type** | [**EndpointStateChangesLogItemType**](EndpointStateChangesLogItemType.md) | | [optional]
## Example
```python
from thousandeyes_sdk.endpoint_agents.models.endpoint_state_changes_log_item import EndpointStateChangesLogItem
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointStateChangesLogItem from a JSON string
endpoint_state_changes_log_item_instance = EndpointStateChangesLogItem.from_json(json)
# print the JSON string representation of the object
print(EndpointStateChangesLogItem.to_json())
# convert the object into a dict
endpoint_state_changes_log_item_dict = endpoint_state_changes_log_item_instance.to_dict()
# create an instance of EndpointStateChangesLogItem from a dict
endpoint_state_changes_log_item_from_dict = EndpointStateChangesLogItem.from_dict(endpoint_state_changes_log_item_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointStateChangesLogItemType
State change log item type.
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointVpnLogItem
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**log_item_type** | [**EndpointVpnLogItemType**](EndpointVpnLogItemType.md) | | [optional]
**vpn_type** | [**EndpointVpnType**](EndpointVpnType.md) | | [optional]
**vpn_server_name** | **str** | VPN server name. | [optional] [readonly]
**vpn_server_address** | **str** | VPN server address. | [optional] [readonly]
## Example
```python
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_log_item import EndpointVpnLogItem
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointVpnLogItem from a JSON string
endpoint_vpn_log_item_instance = EndpointVpnLogItem.from_json(json)
# print the JSON string representation of the object
print(EndpointVpnLogItem.to_json())
# convert the object into a dict
endpoint_vpn_log_item_dict = endpoint_vpn_log_item_instance.to_dict()
# create an instance of EndpointVpnLogItem from a dict
endpoint_vpn_log_item_from_dict = EndpointVpnLogItem.from_dict(endpoint_vpn_log_item_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointVpnLogItemType
VPN log item type.
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointVpnType
VPN vendor or type.
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointWifiLogItem
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**log_item_type** | [**EndpointWifiLogItemType**](EndpointWifiLogItemType.md) | | [optional]
**ssid** | **str** | Wireless network SSID. | [optional] [readonly]
**bssid** | **str** | Wireless access point BSSID. | [optional] [readonly]
**bssid_from** | **str** | Previous wireless access point BSSID. | [optional] [readonly]
**channel** | **str** | Wireless channel. | [optional] [readonly]
**channel_from** | **str** | Previous wireless channel. | [optional] [readonly]
**physical_mode** | **str** | Wireless physical mode. | [optional] [readonly]
**physical_mode_from** | **str** | Previous wireless physical mode. | [optional] [readonly]
**failure** | [**EndpointWirelessConnectionFailure**](EndpointWirelessConnectionFailure.md) | | [optional]
## Example
```python
from thousandeyes_sdk.endpoint_agents.models.endpoint_wifi_log_item import EndpointWifiLogItem
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointWifiLogItem from a JSON string
endpoint_wifi_log_item_instance = EndpointWifiLogItem.from_json(json)
# print the JSON string representation of the object
print(EndpointWifiLogItem.to_json())
# convert the object into a dict
endpoint_wifi_log_item_dict = endpoint_wifi_log_item_instance.to_dict()
# create an instance of EndpointWifiLogItem from a dict
endpoint_wifi_log_item_from_dict = EndpointWifiLogItem.from_dict(endpoint_wifi_log_item_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointWifiLogItemType
Wi-Fi log item type.
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointWirelessConnectionFailure
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**type** | [**EndpointWirelessConnectionFailureType**](EndpointWirelessConnectionFailureType.md) | | [optional]
**context** | **str** | Additional context for the wireless connection failure. | [optional] [readonly]
**code** | **int** | Wireless connection failure code. | [optional] [readonly]
## Example
```python
from thousandeyes_sdk.endpoint_agents.models.endpoint_wireless_connection_failure import EndpointWirelessConnectionFailure
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointWirelessConnectionFailure from a JSON string
endpoint_wireless_connection_failure_instance = EndpointWirelessConnectionFailure.from_json(json)
# print the JSON string representation of the object
print(EndpointWirelessConnectionFailure.to_json())
# convert the object into a dict
endpoint_wireless_connection_failure_dict = endpoint_wireless_connection_failure_instance.to_dict()
# create an instance of EndpointWirelessConnectionFailure from a dict
endpoint_wireless_connection_failure_from_dict = EndpointWirelessConnectionFailure.from_dict(endpoint_wireless_connection_failure_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# EndpointWirelessConnectionFailureType
Wireless connection failure phase.
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

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# import apis into sdk package
from thousandeyes_sdk.endpoint_agents.api.endpoint_agent_log_items_api import EndpointAgentLogItemsApi
from thousandeyes_sdk.endpoint_agents.api.endpoint_agents_api import EndpointAgentsApi
from thousandeyes_sdk.endpoint_agents.api.endpoint_agents_transfer_api import EndpointAgentsTransferApi
from thousandeyes_sdk.endpoint_agents.api.endpoint_proxies_api import EndpointProxiesApi
# import models into sdk package
@ -42,13 +44,31 @@ from thousandeyes_sdk.endpoint_agents.models.connection_string import Connection
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent import EndpointAgent
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_ethernet_profile import EndpointAgentEthernetProfile
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_location import EndpointAgentLocation
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_item import EndpointAgentLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_item_type import EndpointAgentLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_items_response import EndpointAgentLogItemsResponse
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_update import EndpointAgentUpdate
from thousandeyes_sdk.endpoint_agents.models.endpoint_agents import EndpointAgents
from thousandeyes_sdk.endpoint_agents.models.endpoint_asn_details import EndpointAsnDetails
from thousandeyes_sdk.endpoint_agents.models.endpoint_browser_extension import EndpointBrowserExtension
from thousandeyes_sdk.endpoint_agents.models.endpoint_client import EndpointClient
from thousandeyes_sdk.endpoint_agents.models.endpoint_online_offline_log_item import EndpointOnlineOfflineLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_online_offline_log_item_type import EndpointOnlineOfflineLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxies_response import EndpointProxiesResponse
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxy import EndpointProxy
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxy_auth_type import EndpointProxyAuthType
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxy_type import EndpointProxyType
from thousandeyes_sdk.endpoint_agents.models.endpoint_state_changes_log_item import EndpointStateChangesLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_state_changes_log_item_type import EndpointStateChangesLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_user_profile import EndpointUserProfile
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_log_item import EndpointVpnLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_log_item_type import EndpointVpnLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_profile import EndpointVpnProfile
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_type import EndpointVpnType
from thousandeyes_sdk.endpoint_agents.models.endpoint_wifi_log_item import EndpointWifiLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_wifi_log_item_type import EndpointWifiLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_wireless_connection_failure import EndpointWirelessConnectionFailure
from thousandeyes_sdk.endpoint_agents.models.endpoint_wireless_connection_failure_type import EndpointWirelessConnectionFailureType
from thousandeyes_sdk.endpoint_agents.models.error import Error
from thousandeyes_sdk.endpoint_agents.models.expand_endpoint_agent_options import ExpandEndpointAgentOptions
from thousandeyes_sdk.endpoint_agents.models.external_metadata_item import ExternalMetadataItem

2
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@ -1,6 +1,8 @@
# flake8: noqa
# import apis into api package
from thousandeyes_sdk.endpoint_agents.api.endpoint_agent_log_items_api import EndpointAgentLogItemsApi
from thousandeyes_sdk.endpoint_agents.api.endpoint_agents_api import EndpointAgentsApi
from thousandeyes_sdk.endpoint_agents.api.endpoint_agents_transfer_api import EndpointAgentsTransferApi
from thousandeyes_sdk.endpoint_agents.api.endpoint_proxies_api import EndpointProxiesApi

517
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@ -0,0 +1,517 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
import warnings
from pydantic import validate_call, Field, StrictFloat, StrictStr, StrictInt
from typing import Any, Dict, List, Optional, Tuple, Union
from typing_extensions import Annotated
from importlib.metadata import version
import thousandeyes_sdk.endpoint_agents.models
from datetime import datetime
from pydantic import Field, StrictStr, field_validator
from typing import Optional
from typing_extensions import Annotated
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_items_response import EndpointAgentLogItemsResponse
from thousandeyes_sdk.core.api_client import ApiClient, RequestSerialized
from thousandeyes_sdk.core.api_response import ApiResponse
from thousandeyes_sdk.core.pagination_iterable import PaginationIterable
from thousandeyes_sdk.core.rest import RESTResponseType
class EndpointAgentLogItemsApi:
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None) -> None:
if api_client is None:
api_client = ApiClient.get_default()
api_client.user_agent = "ThousandEyesSDK-Python/{0}".format(version("thousandeyes-sdk-endpoint-agents"))
self.api_client = api_client
@validate_call
def get_endpoint_agent_log_items_paginated(
self,
agent_id: Annotated[StrictStr, Field(description="The identifier of the agent to operate on.")],
aid: Annotated[Optional[StrictStr], Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.")] = None,
max: Annotated[Optional[Annotated[int, Field(le=5000, strict=True, ge=1)]], Field(description="Maximum number of log items returned per page.")] = None,
cursor: Annotated[Optional[StrictStr], Field(description="Opaque cursor from the `_links.next.href` URL in the previous response.")] = None,
window: Annotated[Optional[Annotated[str, Field(strict=True)]], Field(description="A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`.")] = None,
start_date: Annotated[Optional[datetime], Field(description="Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.")] = None,
end_date: Annotated[Optional[datetime], Field(description="Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.")] = None,
_request_timeout: Union[
None,
Annotated[StrictFloat, Field(gt=0)],
Tuple[
Annotated[StrictFloat, Field(gt=0)],
Annotated[StrictFloat, Field(gt=0)]
]
] = None,
_request_auth: Optional[Dict[StrictStr, Any]] = None,
_content_type: Optional[StrictStr] = None,
_headers: Optional[Dict[StrictStr, Any]] = None,
_host_index: Annotated[StrictInt, Field(ge=0, le=0)] = 0,
) -> PaginationIterable:
"""List endpoint agent log items
Returns paginated logs for an endpoint agent within the requested time range.
:param agent_id: The identifier of the agent to operate on. (required)
:type agent_id: str
:param aid: A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.
:type aid: str
:param max: Maximum number of log items returned per page.
:type max: int
:param cursor: Opaque cursor from the `_links.next.href` URL in the previous response.
:type cursor: str
:param window: A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`.
:type window: str
:param start_date: Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.
:type start_date: datetime
:param end_date: Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.
:type end_date: datetime
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:type _request_timeout: int, tuple(int, int), optional
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the
authentication in the spec for a single request.
:type _request_auth: dict, optional
:param _content_type: force content-type for the request.
:type _content_type: str, Optional
:param _headers: set to override the headers for a single
request; this effectively ignores the headers
in the spec for a single request.
:type _headers: dict, optional
:param _host_index: set to override the host_index for a single
request; this effectively ignores the host_index
in the spec for a single request.
:type _host_index: int, optional
:return: Returns the result object.
""" # noqa: E501
return PaginationIterable(
self.get_endpoint_agent_log_items,
lambda data: data.logs if data and data.logs else [],
agent_id = agent_id, aid = aid, max = max, cursor = cursor, window = window, start_date = start_date, end_date = end_date,
_request_timeout=_request_timeout,
_request_auth=_request_auth,
_content_type=_content_type,
_headers=_headers,
_host_index=_host_index
)
@validate_call
def get_endpoint_agent_log_items(
self,
agent_id: Annotated[StrictStr, Field(description="The identifier of the agent to operate on.")],
aid: Annotated[Optional[StrictStr], Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.")] = None,
max: Annotated[Optional[Annotated[int, Field(le=5000, strict=True, ge=1)]], Field(description="Maximum number of log items returned per page.")] = None,
cursor: Annotated[Optional[StrictStr], Field(description="Opaque cursor from the `_links.next.href` URL in the previous response.")] = None,
window: Annotated[Optional[Annotated[str, Field(strict=True)]], Field(description="A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`.")] = None,
start_date: Annotated[Optional[datetime], Field(description="Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.")] = None,
end_date: Annotated[Optional[datetime], Field(description="Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.")] = None,
_request_timeout: Union[
None,
Annotated[StrictFloat, Field(gt=0)],
Tuple[
Annotated[StrictFloat, Field(gt=0)],
Annotated[StrictFloat, Field(gt=0)]
]
] = None,
_request_auth: Optional[Dict[StrictStr, Any]] = None,
_content_type: Optional[StrictStr] = None,
_headers: Optional[Dict[StrictStr, Any]] = None,
_host_index: Annotated[StrictInt, Field(ge=0, le=0)] = 0,
) -> EndpointAgentLogItemsResponse:
"""List endpoint agent log items
Returns paginated logs for an endpoint agent within the requested time range.
:param agent_id: The identifier of the agent to operate on. (required)
:type agent_id: str
:param aid: A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.
:type aid: str
:param max: Maximum number of log items returned per page.
:type max: int
:param cursor: Opaque cursor from the `_links.next.href` URL in the previous response.
:type cursor: str
:param window: A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`.
:type window: str
:param start_date: Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.
:type start_date: datetime
:param end_date: Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.
:type end_date: datetime
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:type _request_timeout: int, tuple(int, int), optional
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the
authentication in the spec for a single request.
:type _request_auth: dict, optional
:param _content_type: force content-type for the request.
:type _content_type: str, Optional
:param _headers: set to override the headers for a single
request; this effectively ignores the headers
in the spec for a single request.
:type _headers: dict, optional
:param _host_index: set to override the host_index for a single
request; this effectively ignores the host_index
in the spec for a single request.
:type _host_index: int, optional
:return: Returns the result object.
""" # noqa: E501
_param = self._get_endpoint_agent_log_items_serialize(
agent_id=agent_id,
aid=aid,
max=max,
cursor=cursor,
window=window,
start_date=start_date,
end_date=end_date,
_request_auth=_request_auth,
_content_type=_content_type,
_headers=_headers,
_host_index=_host_index
)
_response_types_map: Dict[str, Optional[str]] = {
'200': "EndpointAgentLogItemsResponse",
'400': "ValidationError",
'401': "UnauthorizedError",
'403': "Error",
'429': "Error",
'500': "Error",
'502': "Error",
}
response_data = self.api_client.call_api(
*_param,
_request_timeout=_request_timeout
)
response_data.read()
return self.api_client.response_deserialize(
response_data=response_data,
response_types_map=_response_types_map,
models=thousandeyes_sdk.endpoint_agents.models,
).data
@validate_call
def get_endpoint_agent_log_items_with_http_info(
self,
agent_id: Annotated[StrictStr, Field(description="The identifier of the agent to operate on.")],
aid: Annotated[Optional[StrictStr], Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.")] = None,
max: Annotated[Optional[Annotated[int, Field(le=5000, strict=True, ge=1)]], Field(description="Maximum number of log items returned per page.")] = None,
cursor: Annotated[Optional[StrictStr], Field(description="Opaque cursor from the `_links.next.href` URL in the previous response.")] = None,
window: Annotated[Optional[Annotated[str, Field(strict=True)]], Field(description="A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`.")] = None,
start_date: Annotated[Optional[datetime], Field(description="Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.")] = None,
end_date: Annotated[Optional[datetime], Field(description="Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.")] = None,
_request_timeout: Union[
None,
Annotated[StrictFloat, Field(gt=0)],
Tuple[
Annotated[StrictFloat, Field(gt=0)],
Annotated[StrictFloat, Field(gt=0)]
]
] = None,
_request_auth: Optional[Dict[StrictStr, Any]] = None,
_content_type: Optional[StrictStr] = None,
_headers: Optional[Dict[StrictStr, Any]] = None,
_host_index: Annotated[StrictInt, Field(ge=0, le=0)] = 0,
) -> ApiResponse[EndpointAgentLogItemsResponse]:
"""List endpoint agent log items
Returns paginated logs for an endpoint agent within the requested time range.
:param agent_id: The identifier of the agent to operate on. (required)
:type agent_id: str
:param aid: A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.
:type aid: str
:param max: Maximum number of log items returned per page.
:type max: int
:param cursor: Opaque cursor from the `_links.next.href` URL in the previous response.
:type cursor: str
:param window: A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`.
:type window: str
:param start_date: Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.
:type start_date: datetime
:param end_date: Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.
:type end_date: datetime
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:type _request_timeout: int, tuple(int, int), optional
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the
authentication in the spec for a single request.
:type _request_auth: dict, optional
:param _content_type: force content-type for the request.
:type _content_type: str, Optional
:param _headers: set to override the headers for a single
request; this effectively ignores the headers
in the spec for a single request.
:type _headers: dict, optional
:param _host_index: set to override the host_index for a single
request; this effectively ignores the host_index
in the spec for a single request.
:type _host_index: int, optional
:return: Returns the result object.
""" # noqa: E501
_param = self._get_endpoint_agent_log_items_serialize(
agent_id=agent_id,
aid=aid,
max=max,
cursor=cursor,
window=window,
start_date=start_date,
end_date=end_date,
_request_auth=_request_auth,
_content_type=_content_type,
_headers=_headers,
_host_index=_host_index
)
_response_types_map: Dict[str, Optional[str]] = {
'200': "EndpointAgentLogItemsResponse",
'400': "ValidationError",
'401': "UnauthorizedError",
'403': "Error",
'429': "Error",
'500': "Error",
'502': "Error",
}
response_data = self.api_client.call_api(
*_param,
_request_timeout=_request_timeout
)
response_data.read()
return self.api_client.response_deserialize(
response_data=response_data,
response_types_map=_response_types_map,
models=thousandeyes_sdk.endpoint_agents.models,
)
@validate_call
def get_endpoint_agent_log_items_without_preload_content(
self,
agent_id: Annotated[StrictStr, Field(description="The identifier of the agent to operate on.")],
aid: Annotated[Optional[StrictStr], Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.")] = None,
max: Annotated[Optional[Annotated[int, Field(le=5000, strict=True, ge=1)]], Field(description="Maximum number of log items returned per page.")] = None,
cursor: Annotated[Optional[StrictStr], Field(description="Opaque cursor from the `_links.next.href` URL in the previous response.")] = None,
window: Annotated[Optional[Annotated[str, Field(strict=True)]], Field(description="A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`.")] = None,
start_date: Annotated[Optional[datetime], Field(description="Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.")] = None,
end_date: Annotated[Optional[datetime], Field(description="Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.")] = None,
_request_timeout: Union[
None,
Annotated[StrictFloat, Field(gt=0)],
Tuple[
Annotated[StrictFloat, Field(gt=0)],
Annotated[StrictFloat, Field(gt=0)]
]
] = None,
_request_auth: Optional[Dict[StrictStr, Any]] = None,
_content_type: Optional[StrictStr] = None,
_headers: Optional[Dict[StrictStr, Any]] = None,
_host_index: Annotated[StrictInt, Field(ge=0, le=0)] = 0,
) -> RESTResponseType:
"""List endpoint agent log items
Returns paginated logs for an endpoint agent within the requested time range.
:param agent_id: The identifier of the agent to operate on. (required)
:type agent_id: str
:param aid: A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.
:type aid: str
:param max: Maximum number of log items returned per page.
:type max: int
:param cursor: Opaque cursor from the `_links.next.href` URL in the previous response.
:type cursor: str
:param window: A dynamic time interval up to the current time of the request. Specify the interval as a number followed by an optional type: `s` for seconds (default if no type is specified), `m` for minutes, `h` for hours, `d` for days, and `w` for weeks. For a precise date range, use `startDate` and `endDate`.
:type window: str
:param start_date: Use with the `endDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.
:type start_date: datetime
:param end_date: Defaults to current time the request is made. Use with the `startDate` parameter. Include the complete time (hours, minutes, and seconds) in UTC time zone, following the ISO 8601 date-time format. See the example for reference. Please note that this parameter can't be used with `window`.
:type end_date: datetime
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:type _request_timeout: int, tuple(int, int), optional
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the
authentication in the spec for a single request.
:type _request_auth: dict, optional
:param _content_type: force content-type for the request.
:type _content_type: str, Optional
:param _headers: set to override the headers for a single
request; this effectively ignores the headers
in the spec for a single request.
:type _headers: dict, optional
:param _host_index: set to override the host_index for a single
request; this effectively ignores the host_index
in the spec for a single request.
:type _host_index: int, optional
:return: Returns the result object.
""" # noqa: E501
_param = self._get_endpoint_agent_log_items_serialize(
agent_id=agent_id,
aid=aid,
max=max,
cursor=cursor,
window=window,
start_date=start_date,
end_date=end_date,
_request_auth=_request_auth,
_content_type=_content_type,
_headers=_headers,
_host_index=_host_index
)
_response_types_map: Dict[str, Optional[str]] = {
'200': "EndpointAgentLogItemsResponse",
'400': "ValidationError",
'401': "UnauthorizedError",
'403': "Error",
'429': "Error",
'500': "Error",
'502': "Error",
}
response_data = self.api_client.call_api(
*_param,
_request_timeout=_request_timeout
)
return response_data.response
def _get_endpoint_agent_log_items_serialize(
self,
agent_id,
aid,
max,
cursor,
window,
start_date,
end_date,
_request_auth,
_content_type,
_headers,
_host_index,
) -> RequestSerialized:
_host = None
_collection_formats: Dict[str, str] = {
}
_path_params: Dict[str, str] = {}
_query_params: List[Tuple[str, str]] = []
_header_params: Dict[str, Optional[str]] = _headers or {}
_form_params: List[Tuple[str, str]] = []
_files: Dict[str, Union[str, bytes]] = {}
_body_params: Optional[bytes] = None
# process the path parameters
if agent_id is not None:
_path_params['agentId'] = agent_id
# process the query parameters
if aid is not None:
_query_params.append(('aid', aid))
if max is not None:
_query_params.append(('max', max))
if cursor is not None:
_query_params.append(('cursor', cursor))
if window is not None:
_query_params.append(('window', window))
if start_date is not None:
if isinstance(start_date, datetime):
_query_params.append(
(
'startDate',
start_date.strftime(
self.api_client.configuration.datetime_format
)
)
)
else:
_query_params.append(('startDate', start_date))
if end_date is not None:
if isinstance(end_date, datetime):
_query_params.append(
(
'endDate',
end_date.strftime(
self.api_client.configuration.datetime_format
)
)
)
else:
_query_params.append(('endDate', end_date))
# process the header parameters
# process the form parameters
# process the body parameter
# set the HTTP header `Accept`
_header_params['Accept'] = self.api_client.select_header_accept(
[
'application/hal+json',
'application/json',
'application/problem+json'
]
)
# authentication setting
_auth_settings: List[str] = [
'BearerAuth'
]
return self.api_client.param_serialize(
method='GET',
resource_path='/endpoint/agents/{agentId}/logs',
path_params=_path_params,
query_params=_query_params,
header_params=_header_params,
body=_body_params,
post_params=_form_params,
files=_files,
auth_settings=_auth_settings,
collection_formats=_collection_formats,
_host=_host,
_request_auth=_request_auth
)

318
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/api/endpoint_proxies_api.py Normal file
View File

@ -0,0 +1,318 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
import warnings
from pydantic import validate_call, Field, StrictFloat, StrictStr, StrictInt
from typing import Any, Dict, List, Optional, Tuple, Union
from typing_extensions import Annotated
from importlib.metadata import version
import thousandeyes_sdk.endpoint_agents.models
from pydantic import Field, StrictStr
from typing import Optional
from typing_extensions import Annotated
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxies_response import EndpointProxiesResponse
from thousandeyes_sdk.core.api_client import ApiClient, RequestSerialized
from thousandeyes_sdk.core.api_response import ApiResponse
from thousandeyes_sdk.core.rest import RESTResponseType
class EndpointProxiesApi:
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None) -> None:
if api_client is None:
api_client = ApiClient.get_default()
api_client.user_agent = "ThousandEyesSDK-Python/{0}".format(version("thousandeyes-sdk-endpoint-agents"))
self.api_client = api_client
@validate_call
def get_endpoint_proxies(
self,
aid: Annotated[Optional[StrictStr], Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.")] = None,
_request_timeout: Union[
None,
Annotated[StrictFloat, Field(gt=0)],
Tuple[
Annotated[StrictFloat, Field(gt=0)],
Annotated[StrictFloat, Field(gt=0)]
]
] = None,
_request_auth: Optional[Dict[StrictStr, Any]] = None,
_content_type: Optional[StrictStr] = None,
_headers: Optional[Dict[StrictStr, Any]] = None,
_host_index: Annotated[StrictInt, Field(ge=0, le=0)] = 0,
) -> EndpointProxiesResponse:
"""List endpoint proxy settings
Returns proxy settings for endpoint agents. Proxy passwords are never returned.
:param aid: A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.
:type aid: str
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:type _request_timeout: int, tuple(int, int), optional
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the
authentication in the spec for a single request.
:type _request_auth: dict, optional
:param _content_type: force content-type for the request.
:type _content_type: str, Optional
:param _headers: set to override the headers for a single
request; this effectively ignores the headers
in the spec for a single request.
:type _headers: dict, optional
:param _host_index: set to override the host_index for a single
request; this effectively ignores the host_index
in the spec for a single request.
:type _host_index: int, optional
:return: Returns the result object.
""" # noqa: E501
_param = self._get_endpoint_proxies_serialize(
aid=aid,
_request_auth=_request_auth,
_content_type=_content_type,
_headers=_headers,
_host_index=_host_index
)
_response_types_map: Dict[str, Optional[str]] = {
'200': "EndpointProxiesResponse",
'401': "UnauthorizedError",
'403': "Error",
'429': "Error",
'500': "Error",
}
response_data = self.api_client.call_api(
*_param,
_request_timeout=_request_timeout
)
response_data.read()
return self.api_client.response_deserialize(
response_data=response_data,
response_types_map=_response_types_map,
models=thousandeyes_sdk.endpoint_agents.models,
).data
@validate_call
def get_endpoint_proxies_with_http_info(
self,
aid: Annotated[Optional[StrictStr], Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.")] = None,
_request_timeout: Union[
None,
Annotated[StrictFloat, Field(gt=0)],
Tuple[
Annotated[StrictFloat, Field(gt=0)],
Annotated[StrictFloat, Field(gt=0)]
]
] = None,
_request_auth: Optional[Dict[StrictStr, Any]] = None,
_content_type: Optional[StrictStr] = None,
_headers: Optional[Dict[StrictStr, Any]] = None,
_host_index: Annotated[StrictInt, Field(ge=0, le=0)] = 0,
) -> ApiResponse[EndpointProxiesResponse]:
"""List endpoint proxy settings
Returns proxy settings for endpoint agents. Proxy passwords are never returned.
:param aid: A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.
:type aid: str
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:type _request_timeout: int, tuple(int, int), optional
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the
authentication in the spec for a single request.
:type _request_auth: dict, optional
:param _content_type: force content-type for the request.
:type _content_type: str, Optional
:param _headers: set to override the headers for a single
request; this effectively ignores the headers
in the spec for a single request.
:type _headers: dict, optional
:param _host_index: set to override the host_index for a single
request; this effectively ignores the host_index
in the spec for a single request.
:type _host_index: int, optional
:return: Returns the result object.
""" # noqa: E501
_param = self._get_endpoint_proxies_serialize(
aid=aid,
_request_auth=_request_auth,
_content_type=_content_type,
_headers=_headers,
_host_index=_host_index
)
_response_types_map: Dict[str, Optional[str]] = {
'200': "EndpointProxiesResponse",
'401': "UnauthorizedError",
'403': "Error",
'429': "Error",
'500': "Error",
}
response_data = self.api_client.call_api(
*_param,
_request_timeout=_request_timeout
)
response_data.read()
return self.api_client.response_deserialize(
response_data=response_data,
response_types_map=_response_types_map,
models=thousandeyes_sdk.endpoint_agents.models,
)
@validate_call
def get_endpoint_proxies_without_preload_content(
self,
aid: Annotated[Optional[StrictStr], Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.")] = None,
_request_timeout: Union[
None,
Annotated[StrictFloat, Field(gt=0)],
Tuple[
Annotated[StrictFloat, Field(gt=0)],
Annotated[StrictFloat, Field(gt=0)]
]
] = None,
_request_auth: Optional[Dict[StrictStr, Any]] = None,
_content_type: Optional[StrictStr] = None,
_headers: Optional[Dict[StrictStr, Any]] = None,
_host_index: Annotated[StrictInt, Field(ge=0, le=0)] = 0,
) -> RESTResponseType:
"""List endpoint proxy settings
Returns proxy settings for endpoint agents. Proxy passwords are never returned.
:param aid: A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.
:type aid: str
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:type _request_timeout: int, tuple(int, int), optional
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the
authentication in the spec for a single request.
:type _request_auth: dict, optional
:param _content_type: force content-type for the request.
:type _content_type: str, Optional
:param _headers: set to override the headers for a single
request; this effectively ignores the headers
in the spec for a single request.
:type _headers: dict, optional
:param _host_index: set to override the host_index for a single
request; this effectively ignores the host_index
in the spec for a single request.
:type _host_index: int, optional
:return: Returns the result object.
""" # noqa: E501
_param = self._get_endpoint_proxies_serialize(
aid=aid,
_request_auth=_request_auth,
_content_type=_content_type,
_headers=_headers,
_host_index=_host_index
)
_response_types_map: Dict[str, Optional[str]] = {
'200': "EndpointProxiesResponse",
'401': "UnauthorizedError",
'403': "Error",
'429': "Error",
'500': "Error",
}
response_data = self.api_client.call_api(
*_param,
_request_timeout=_request_timeout
)
return response_data.response
def _get_endpoint_proxies_serialize(
self,
aid,
_request_auth,
_content_type,
_headers,
_host_index,
) -> RequestSerialized:
_host = None
_collection_formats: Dict[str, str] = {
}
_path_params: Dict[str, str] = {}
_query_params: List[Tuple[str, str]] = []
_header_params: Dict[str, Optional[str]] = _headers or {}
_form_params: List[Tuple[str, str]] = []
_files: Dict[str, Union[str, bytes]] = {}
_body_params: Optional[bytes] = None
# process the path parameters
# process the query parameters
if aid is not None:
_query_params.append(('aid', aid))
# process the header parameters
# process the form parameters
# process the body parameter
# set the HTTP header `Accept`
_header_params['Accept'] = self.api_client.select_header_accept(
[
'application/json',
'application/problem+json'
]
)
# authentication setting
_auth_settings: List[str] = [
'BearerAuth'
]
return self.api_client.param_serialize(
method='GET',
resource_path='/endpoint/proxies',
path_params=_path_params,
query_params=_query_params,
header_params=_header_params,
body=_body_params,
post_params=_form_params,
files=_files,
auth_settings=_auth_settings,
collection_formats=_collection_formats,
_host=_host,
_request_auth=_request_auth
)

18
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/__init__.py
View File

@ -36,13 +36,31 @@ from thousandeyes_sdk.endpoint_agents.models.connection_string import Connection
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent import EndpointAgent
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_ethernet_profile import EndpointAgentEthernetProfile
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_location import EndpointAgentLocation
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_item import EndpointAgentLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_item_type import EndpointAgentLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_items_response import EndpointAgentLogItemsResponse
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_update import EndpointAgentUpdate
from thousandeyes_sdk.endpoint_agents.models.endpoint_agents import EndpointAgents
from thousandeyes_sdk.endpoint_agents.models.endpoint_asn_details import EndpointAsnDetails
from thousandeyes_sdk.endpoint_agents.models.endpoint_browser_extension import EndpointBrowserExtension
from thousandeyes_sdk.endpoint_agents.models.endpoint_client import EndpointClient
from thousandeyes_sdk.endpoint_agents.models.endpoint_online_offline_log_item import EndpointOnlineOfflineLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_online_offline_log_item_type import EndpointOnlineOfflineLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxies_response import EndpointProxiesResponse
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxy import EndpointProxy
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxy_auth_type import EndpointProxyAuthType
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxy_type import EndpointProxyType
from thousandeyes_sdk.endpoint_agents.models.endpoint_state_changes_log_item import EndpointStateChangesLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_state_changes_log_item_type import EndpointStateChangesLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_user_profile import EndpointUserProfile
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_log_item import EndpointVpnLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_log_item_type import EndpointVpnLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_profile import EndpointVpnProfile
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_type import EndpointVpnType
from thousandeyes_sdk.endpoint_agents.models.endpoint_wifi_log_item import EndpointWifiLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_wifi_log_item_type import EndpointWifiLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_wireless_connection_failure import EndpointWirelessConnectionFailure
from thousandeyes_sdk.endpoint_agents.models.endpoint_wireless_connection_failure_type import EndpointWirelessConnectionFailureType
from thousandeyes_sdk.endpoint_agents.models.error import Error
from thousandeyes_sdk.endpoint_agents.models.expand_endpoint_agent_options import ExpandEndpointAgentOptions
from thousandeyes_sdk.endpoint_agents.models.external_metadata_item import ExternalMetadataItem

140
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_agent_log_item.py Normal file
View File

@ -0,0 +1,140 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_item_type import EndpointAgentLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_online_offline_log_item import EndpointOnlineOfflineLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_state_changes_log_item import EndpointStateChangesLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_log_item import EndpointVpnLogItem
from thousandeyes_sdk.endpoint_agents.models.endpoint_wifi_log_item import EndpointWifiLogItem
from typing import Optional, Set
from typing_extensions import Self
class EndpointAgentLogItem(BaseModel):
"""
EndpointAgentLogItem
""" # noqa: E501
id: Optional[StrictStr] = Field(default=None, description="Unique ID of the log item.")
agent_log_item_type: Optional[EndpointAgentLogItemType] = Field(default=None, alias="agentLogItemType")
timestamp_ms: Optional[StrictInt] = Field(default=None, description="Time when the log item was recorded, in milliseconds since the Unix epoch.", alias="timestampMs")
wifi_log_item: Optional[EndpointWifiLogItem] = Field(default=None, alias="wifiLogItem")
vpn_log_item: Optional[EndpointVpnLogItem] = Field(default=None, alias="vpnLogItem")
online_offline_log_item: Optional[EndpointOnlineOfflineLogItem] = Field(default=None, alias="onlineOfflineLogItem")
state_changes_log_item: Optional[EndpointStateChangesLogItem] = Field(default=None, alias="stateChangesLogItem")
__properties: ClassVar[List[str]] = ["id", "agentLogItemType", "timestampMs", "wifiLogItem", "vpnLogItem", "onlineOfflineLogItem", "stateChangesLogItem"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointAgentLogItem from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
"""
excluded_fields: Set[str] = set([
"id",
"timestamp_ms",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of wifi_log_item
if self.wifi_log_item:
_dict['wifiLogItem'] = self.wifi_log_item.to_dict()
# override the default output from pydantic by calling `to_dict()` of vpn_log_item
if self.vpn_log_item:
_dict['vpnLogItem'] = self.vpn_log_item.to_dict()
# override the default output from pydantic by calling `to_dict()` of online_offline_log_item
if self.online_offline_log_item:
_dict['onlineOfflineLogItem'] = self.online_offline_log_item.to_dict()
# override the default output from pydantic by calling `to_dict()` of state_changes_log_item
if self.state_changes_log_item:
_dict['stateChangesLogItem'] = self.state_changes_log_item.to_dict()
# set to None if wifi_log_item (nullable) is None
# and model_fields_set contains the field
if self.wifi_log_item is None and "wifi_log_item" in self.model_fields_set:
_dict['wifiLogItem'] = None
# set to None if vpn_log_item (nullable) is None
# and model_fields_set contains the field
if self.vpn_log_item is None and "vpn_log_item" in self.model_fields_set:
_dict['vpnLogItem'] = None
# set to None if online_offline_log_item (nullable) is None
# and model_fields_set contains the field
if self.online_offline_log_item is None and "online_offline_log_item" in self.model_fields_set:
_dict['onlineOfflineLogItem'] = None
# set to None if state_changes_log_item (nullable) is None
# and model_fields_set contains the field
if self.state_changes_log_item is None and "state_changes_log_item" in self.model_fields_set:
_dict['stateChangesLogItem'] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointAgentLogItem from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"id": obj.get("id"),
"agentLogItemType": obj.get("agentLogItemType"),
"timestampMs": obj.get("timestampMs"),
"wifiLogItem": EndpointWifiLogItem.from_dict(obj["wifiLogItem"]) if obj.get("wifiLogItem") is not None else None,
"vpnLogItem": EndpointVpnLogItem.from_dict(obj["vpnLogItem"]) if obj.get("vpnLogItem") is not None else None,
"onlineOfflineLogItem": EndpointOnlineOfflineLogItem.from_dict(obj["onlineOfflineLogItem"]) if obj.get("onlineOfflineLogItem") is not None else None,
"stateChangesLogItem": EndpointStateChangesLogItem.from_dict(obj["stateChangesLogItem"]) if obj.get("stateChangesLogItem") is not None else None
})
return _obj

43
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_agent_log_item_type.py Normal file
View File

@ -0,0 +1,43 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
from enum import Enum
from typing_extensions import Self
class EndpointAgentLogItemType(str, Enum):
"""
Agent log item category.
"""
"""
allowed enum values
"""
WIFI = 'wifi'
VPN = 'vpn'
ONLINE_MINUS_OFFLINE = 'online-offline'
STATE_MINUS_CHANGES = 'state-changes'
UNKNOWN = 'unknown'
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of EndpointAgentLogItemType from a JSON string"""
return cls(json.loads(json_str))
@classmethod
def _missing_(cls, value):
"""Handle unknown values"""
return cls.UNKNOWN

101
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_agent_log_items_response.py Normal file
View File

@ -0,0 +1,101 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.endpoint_agents.models.endpoint_agent_log_item import EndpointAgentLogItem
from thousandeyes_sdk.endpoint_agents.models.pagination_next_and_self_link import PaginationNextAndSelfLink
from typing import Optional, Set
from typing_extensions import Self
class EndpointAgentLogItemsResponse(BaseModel):
"""
EndpointAgentLogItemsResponse
""" # noqa: E501
logs: List[EndpointAgentLogItem] = Field(description="Log items for the endpoint agent.")
links: Optional[PaginationNextAndSelfLink] = Field(default=None, alias="_links")
__properties: ClassVar[List[str]] = ["logs", "_links"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointAgentLogItemsResponse from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of each item in logs (list)
_items = []
if self.logs:
for _item in self.logs:
if _item:
_items.append(_item.to_dict())
_dict['logs'] = _items
# override the default output from pydantic by calling `to_dict()` of links
if self.links:
_dict['_links'] = self.links.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointAgentLogItemsResponse from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"logs": [EndpointAgentLogItem.from_dict(_item) for _item in obj["logs"]] if obj.get("logs") is not None else None,
"_links": PaginationNextAndSelfLink.from_dict(obj["_links"]) if obj.get("_links") is not None else None
})
return _obj

88
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_online_offline_log_item.py Normal file
View File

@ -0,0 +1,88 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.endpoint_agents.models.endpoint_online_offline_log_item_type import EndpointOnlineOfflineLogItemType
from typing import Optional, Set
from typing_extensions import Self
class EndpointOnlineOfflineLogItem(BaseModel):
"""
EndpointOnlineOfflineLogItem
""" # noqa: E501
log_item_type: Optional[EndpointOnlineOfflineLogItemType] = Field(default=None, alias="logItemType")
__properties: ClassVar[List[str]] = ["logItemType"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointOnlineOfflineLogItem from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointOnlineOfflineLogItem from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"logItemType": obj.get("logItemType")
})
return _obj

41
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_online_offline_log_item_type.py Normal file
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# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
from enum import Enum
from typing_extensions import Self
class EndpointOnlineOfflineLogItemType(str, Enum):
"""
Online/offline log item type.
"""
"""
allowed enum values
"""
ONLINE = 'online'
OFFLINE = 'offline'
UNKNOWN = 'unknown'
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of EndpointOnlineOfflineLogItemType from a JSON string"""
return cls(json.loads(json_str))
@classmethod
def _missing_(cls, value):
"""Handle unknown values"""
return cls.UNKNOWN

95
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_proxies_response.py Normal file
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# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field
from typing import Any, ClassVar, Dict, List
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxy import EndpointProxy
from typing import Optional, Set
from typing_extensions import Self
class EndpointProxiesResponse(BaseModel):
"""
EndpointProxiesResponse
""" # noqa: E501
proxies: List[EndpointProxy] = Field(description="Proxy settings configured for endpoint agents.")
__properties: ClassVar[List[str]] = ["proxies"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointProxiesResponse from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of each item in proxies (list)
_items = []
if self.proxies:
for _item in self.proxies:
if _item:
_items.append(_item.to_dict())
_dict['proxies'] = _items
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointProxiesResponse from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"proxies": [EndpointProxy.from_dict(_item) for _item in obj["proxies"]] if obj.get("proxies") is not None else None
})
return _obj

158
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_proxy.py Normal file
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# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxy_auth_type import EndpointProxyAuthType
from thousandeyes_sdk.endpoint_agents.models.endpoint_proxy_type import EndpointProxyType
from typing import Optional, Set
from typing_extensions import Self
class EndpointProxy(BaseModel):
"""
EndpointProxy
""" # noqa: E501
proxy_id: Optional[StrictStr] = Field(default=None, description="Unique ID of the proxy setting.", alias="proxyId")
name: Optional[StrictStr] = Field(default=None, description="Proxy setting name.")
type: Optional[EndpointProxyType] = None
host: Optional[StrictStr] = Field(default=None, description="Static proxy host name or IP address.")
port: Optional[StrictInt] = Field(default=None, description="Static proxy port.")
pac: Optional[StrictStr] = Field(default=None, description="PAC URL or PAC script location.")
user_name: Optional[StrictStr] = Field(default=None, description="Proxy authentication user name.", alias="userName")
bypass_list: Optional[StrictStr] = Field(default=None, description="Comma-separated proxy bypass list.", alias="bypassList")
auth_type: Optional[EndpointProxyAuthType] = Field(default=None, alias="authType")
agent_ids: Optional[List[StrictStr]] = Field(default=None, description="Endpoint Agent IDs assigned to the proxy setting.", alias="agentIds")
test_ids: Optional[List[StrictStr]] = Field(default=None, description="Endpoint scheduled test IDs assigned to the proxy setting.", alias="testIds")
__properties: ClassVar[List[str]] = ["proxyId", "name", "type", "host", "port", "pac", "userName", "bypassList", "authType", "agentIds", "testIds"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointProxy from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
"""
excluded_fields: Set[str] = set([
"proxy_id",
"name",
"host",
"port",
"pac",
"user_name",
"bypass_list",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# set to None if host (nullable) is None
# and model_fields_set contains the field
if self.host is None and "host" in self.model_fields_set:
_dict['host'] = None
# set to None if port (nullable) is None
# and model_fields_set contains the field
if self.port is None and "port" in self.model_fields_set:
_dict['port'] = None
# set to None if pac (nullable) is None
# and model_fields_set contains the field
if self.pac is None and "pac" in self.model_fields_set:
_dict['pac'] = None
# set to None if user_name (nullable) is None
# and model_fields_set contains the field
if self.user_name is None and "user_name" in self.model_fields_set:
_dict['userName'] = None
# set to None if bypass_list (nullable) is None
# and model_fields_set contains the field
if self.bypass_list is None and "bypass_list" in self.model_fields_set:
_dict['bypassList'] = None
# set to None if agent_ids (nullable) is None
# and model_fields_set contains the field
if self.agent_ids is None and "agent_ids" in self.model_fields_set:
_dict['agentIds'] = None
# set to None if test_ids (nullable) is None
# and model_fields_set contains the field
if self.test_ids is None and "test_ids" in self.model_fields_set:
_dict['testIds'] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointProxy from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"proxyId": obj.get("proxyId"),
"name": obj.get("name"),
"type": obj.get("type"),
"host": obj.get("host"),
"port": obj.get("port"),
"pac": obj.get("pac"),
"userName": obj.get("userName"),
"bypassList": obj.get("bypassList"),
"authType": obj.get("authType"),
"agentIds": obj.get("agentIds"),
"testIds": obj.get("testIds")
})
return _obj

42
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_proxy_auth_type.py Normal file
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@ -0,0 +1,42 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
from enum import Enum
from typing_extensions import Self
class EndpointProxyAuthType(str, Enum):
"""
Proxy authentication type.
"""
"""
allowed enum values
"""
NONE = 'none'
BASIC = 'basic'
NTLM = 'ntlm'
UNKNOWN = 'unknown'
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of EndpointProxyAuthType from a JSON string"""
return cls(json.loads(json_str))
@classmethod
def _missing_(cls, value):
"""Handle unknown values"""
return cls.UNKNOWN

44
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_proxy_type.py Normal file
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@ -0,0 +1,44 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
from enum import Enum
from typing_extensions import Self
class EndpointProxyType(str, Enum):
"""
Proxy setting type.
"""
"""
allowed enum values
"""
STATIC = 'static'
PAC = 'pac'
DIRECT = 'direct'
SYSTEM = 'system'
INTERACTIVE_MINUS_USER_MINUS_PROXY = 'interactive-user-proxy'
UNKNOWN = 'unknown'
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of EndpointProxyType from a JSON string"""
return cls(json.loads(json_str))
@classmethod
def _missing_(cls, value):
"""Handle unknown values"""
return cls.UNKNOWN

88
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_state_changes_log_item.py Normal file
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@ -0,0 +1,88 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.endpoint_agents.models.endpoint_state_changes_log_item_type import EndpointStateChangesLogItemType
from typing import Optional, Set
from typing_extensions import Self
class EndpointStateChangesLogItem(BaseModel):
"""
EndpointStateChangesLogItem
""" # noqa: E501
log_item_type: Optional[EndpointStateChangesLogItemType] = Field(default=None, alias="logItemType")
__properties: ClassVar[List[str]] = ["logItemType"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointStateChangesLogItem from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointStateChangesLogItem from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"logItemType": obj.get("logItemType")
})
return _obj

43
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_state_changes_log_item_type.py Normal file
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@ -0,0 +1,43 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
from enum import Enum
from typing_extensions import Self
class EndpointStateChangesLogItemType(str, Enum):
"""
State change log item type.
"""
"""
allowed enum values
"""
RECOVER = 'recover'
ENABLED = 'enabled'
DELETED = 'deleted'
DISABLED = 'disabled'
UNKNOWN = 'unknown'
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of EndpointStateChangesLogItemType from a JSON string"""
return cls(json.loads(json_str))
@classmethod
def _missing_(cls, value):
"""Handle unknown values"""
return cls.UNKNOWN

109
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_vpn_log_item.py Normal file
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@ -0,0 +1,109 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_log_item_type import EndpointVpnLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_vpn_type import EndpointVpnType
from typing import Optional, Set
from typing_extensions import Self
class EndpointVpnLogItem(BaseModel):
"""
EndpointVpnLogItem
""" # noqa: E501
log_item_type: Optional[EndpointVpnLogItemType] = Field(default=None, alias="logItemType")
vpn_type: Optional[EndpointVpnType] = Field(default=None, alias="vpnType")
vpn_server_name: Optional[StrictStr] = Field(default=None, description="VPN server name.", alias="vpnServerName")
vpn_server_address: Optional[StrictStr] = Field(default=None, description="VPN server address.", alias="vpnServerAddress")
__properties: ClassVar[List[str]] = ["logItemType", "vpnType", "vpnServerName", "vpnServerAddress"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointVpnLogItem from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
"""
excluded_fields: Set[str] = set([
"vpn_server_name",
"vpn_server_address",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# set to None if vpn_server_name (nullable) is None
# and model_fields_set contains the field
if self.vpn_server_name is None and "vpn_server_name" in self.model_fields_set:
_dict['vpnServerName'] = None
# set to None if vpn_server_address (nullable) is None
# and model_fields_set contains the field
if self.vpn_server_address is None and "vpn_server_address" in self.model_fields_set:
_dict['vpnServerAddress'] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointVpnLogItem from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"logItemType": obj.get("logItemType"),
"vpnType": obj.get("vpnType"),
"vpnServerName": obj.get("vpnServerName"),
"vpnServerAddress": obj.get("vpnServerAddress")
})
return _obj

41
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_vpn_log_item_type.py Normal file
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@ -0,0 +1,41 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
from enum import Enum
from typing_extensions import Self
class EndpointVpnLogItemType(str, Enum):
"""
VPN log item type.
"""
"""
allowed enum values
"""
VPN_MINUS_CONNECT = 'vpn-connect'
VPN_MINUS_DISCONNECT = 'vpn-disconnect'
UNKNOWN = 'unknown'
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of EndpointVpnLogItemType from a JSON string"""
return cls(json.loads(json_str))
@classmethod
def _missing_(cls, value):
"""Handle unknown values"""
return cls.UNKNOWN

51
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_vpn_type.py Normal file
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@ -0,0 +1,51 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
from enum import Enum
from typing_extensions import Self
class EndpointVpnType(str, Enum):
"""
VPN vendor or type.
"""
"""
allowed enum values
"""
OPENVPN = 'openvpn'
CISCO_MINUS_ANYCONNECT = 'cisco-anyconnect'
PALO_MINUS_ALTO_MINUS_GLOBALPROTECT = 'palo-alto-globalprotect'
VISCOSITY = 'viscosity'
IVANTI_MINUS_CONNECT_MINUS_SECURE = 'ivanti-connect-secure'
ZSCALER_MINUS_INTERNET_MINUS_ACCESS = 'zscaler-internet-access'
F5_MINUS_BIG_MINUS_IP = 'f5-big-ip'
PPTP = 'pptp'
L2TP = 'l2tp'
SSTP = 'sstp'
IKEV2 = 'ikev2'
AUTO = 'auto'
UNKNOWN = 'unknown'
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of EndpointVpnType from a JSON string"""
return cls(json.loads(json_str))
@classmethod
def _missing_(cls, value):
"""Handle unknown values"""
return cls.UNKNOWN

162
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_wifi_log_item.py Normal file
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@ -0,0 +1,162 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.endpoint_agents.models.endpoint_wifi_log_item_type import EndpointWifiLogItemType
from thousandeyes_sdk.endpoint_agents.models.endpoint_wireless_connection_failure import EndpointWirelessConnectionFailure
from typing import Optional, Set
from typing_extensions import Self
class EndpointWifiLogItem(BaseModel):
"""
EndpointWifiLogItem
""" # noqa: E501
log_item_type: Optional[EndpointWifiLogItemType] = Field(default=None, alias="logItemType")
ssid: Optional[StrictStr] = Field(default=None, description="Wireless network SSID.")
bssid: Optional[StrictStr] = Field(default=None, description="Wireless access point BSSID.")
bssid_from: Optional[StrictStr] = Field(default=None, description="Previous wireless access point BSSID.", alias="bssidFrom")
channel: Optional[StrictStr] = Field(default=None, description="Wireless channel.")
channel_from: Optional[StrictStr] = Field(default=None, description="Previous wireless channel.", alias="channelFrom")
physical_mode: Optional[StrictStr] = Field(default=None, description="Wireless physical mode.", alias="physicalMode")
physical_mode_from: Optional[StrictStr] = Field(default=None, description="Previous wireless physical mode.", alias="physicalModeFrom")
failure: Optional[EndpointWirelessConnectionFailure] = None
__properties: ClassVar[List[str]] = ["logItemType", "ssid", "bssid", "bssidFrom", "channel", "channelFrom", "physicalMode", "physicalModeFrom", "failure"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointWifiLogItem from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
"""
excluded_fields: Set[str] = set([
"ssid",
"bssid",
"bssid_from",
"channel",
"channel_from",
"physical_mode",
"physical_mode_from",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of failure
if self.failure:
_dict['failure'] = self.failure.to_dict()
# set to None if ssid (nullable) is None
# and model_fields_set contains the field
if self.ssid is None and "ssid" in self.model_fields_set:
_dict['ssid'] = None
# set to None if bssid (nullable) is None
# and model_fields_set contains the field
if self.bssid is None and "bssid" in self.model_fields_set:
_dict['bssid'] = None
# set to None if bssid_from (nullable) is None
# and model_fields_set contains the field
if self.bssid_from is None and "bssid_from" in self.model_fields_set:
_dict['bssidFrom'] = None
# set to None if channel (nullable) is None
# and model_fields_set contains the field
if self.channel is None and "channel" in self.model_fields_set:
_dict['channel'] = None
# set to None if channel_from (nullable) is None
# and model_fields_set contains the field
if self.channel_from is None and "channel_from" in self.model_fields_set:
_dict['channelFrom'] = None
# set to None if physical_mode (nullable) is None
# and model_fields_set contains the field
if self.physical_mode is None and "physical_mode" in self.model_fields_set:
_dict['physicalMode'] = None
# set to None if physical_mode_from (nullable) is None
# and model_fields_set contains the field
if self.physical_mode_from is None and "physical_mode_from" in self.model_fields_set:
_dict['physicalModeFrom'] = None
# set to None if failure (nullable) is None
# and model_fields_set contains the field
if self.failure is None and "failure" in self.model_fields_set:
_dict['failure'] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointWifiLogItem from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"logItemType": obj.get("logItemType"),
"ssid": obj.get("ssid"),
"bssid": obj.get("bssid"),
"bssidFrom": obj.get("bssidFrom"),
"channel": obj.get("channel"),
"channelFrom": obj.get("channelFrom"),
"physicalMode": obj.get("physicalMode"),
"physicalModeFrom": obj.get("physicalModeFrom"),
"failure": EndpointWirelessConnectionFailure.from_dict(obj["failure"]) if obj.get("failure") is not None else None
})
return _obj

43
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_wifi_log_item_type.py Normal file
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@ -0,0 +1,43 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
from enum import Enum
from typing_extensions import Self
class EndpointWifiLogItemType(str, Enum):
"""
Wi-Fi log item type.
"""
"""
allowed enum values
"""
WIFI_MINUS_CHANGE = 'wifi-change'
WIFI_MINUS_CONNECT = 'wifi-connect'
WIFI_MINUS_DISCONNECT = 'wifi-disconnect'
WIFI_MINUS_CONNECTION_MINUS_FAILURE = 'wifi-connection-failure'
UNKNOWN = 'unknown'
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of EndpointWifiLogItemType from a JSON string"""
return cls(json.loads(json_str))
@classmethod
def _missing_(cls, value):
"""Handle unknown values"""
return cls.UNKNOWN

106
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_wireless_connection_failure.py Normal file
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@ -0,0 +1,106 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.endpoint_agents.models.endpoint_wireless_connection_failure_type import EndpointWirelessConnectionFailureType
from typing import Optional, Set
from typing_extensions import Self
class EndpointWirelessConnectionFailure(BaseModel):
"""
EndpointWirelessConnectionFailure
""" # noqa: E501
type: Optional[EndpointWirelessConnectionFailureType] = None
context: Optional[StrictStr] = Field(default=None, description="Additional context for the wireless connection failure.")
code: Optional[StrictInt] = Field(default=None, description="Wireless connection failure code.")
__properties: ClassVar[List[str]] = ["type", "context", "code"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointWirelessConnectionFailure from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
"""
excluded_fields: Set[str] = set([
"context",
"code",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# set to None if context (nullable) is None
# and model_fields_set contains the field
if self.context is None and "context" in self.model_fields_set:
_dict['context'] = None
# set to None if code (nullable) is None
# and model_fields_set contains the field
if self.code is None and "code" in self.model_fields_set:
_dict['code'] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointWirelessConnectionFailure from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"type": obj.get("type"),
"context": obj.get("context"),
"code": obj.get("code")
})
return _obj

44
thousandeyes-sdk-endpoint-agents/src/thousandeyes_sdk/endpoint_agents/models/endpoint_wireless_connection_failure_type.py Normal file
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@ -0,0 +1,44 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
from enum import Enum
from typing_extensions import Self
class EndpointWirelessConnectionFailureType(str, Enum):
"""
Wireless connection failure phase.
"""
"""
allowed enum values
"""
INIT = 'init'
AUTH = 'auth'
ASSOC = 'assoc'
EAP = 'eap'
DHCP = 'dhcp'
UNKNOWN = 'unknown'
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of EndpointWirelessConnectionFailureType from a JSON string"""
return cls(json.loads(json_str))
@classmethod
def _missing_(cls, value):
"""Handle unknown values"""
return cls.UNKNOWN

129
thousandeyes-sdk-endpoint-agents/test/test_endpoint_agent_log_items_api.py Normal file
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@ -0,0 +1,129 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
import json
import unittest
import thousandeyes_sdk.endpoint_agents.models
from .test_utils import assert_constructed_model_matches_example_json
from thousandeyes_sdk.endpoint_agents.api.endpoint_agent_log_items_api import EndpointAgentLogItemsApi
class TestEndpointAgentLogItemsApi(unittest.TestCase):
"""EndpointAgentLogItemsApi unit test stubs"""
def setUp(self) -> None:
self.api = EndpointAgentLogItemsApi()
def tearDown(self) -> None:
pass
def test_get_endpoint_agent_log_items_models_validation(self) -> None:
"""Test case for get_endpoint_agent_log_items request and response models"""
response_body_json = """
{
"_links" : {
"next" : {
"hreflang" : "hreflang",
"templated" : true,
"profile" : "profile",
"name" : "name",
"href" : "https://api.thousandeyes.com/v7/link/to/resource/id",
"type" : "type",
"deprecation" : "deprecation",
"title" : "title"
},
"self" : {
"hreflang" : "hreflang",
"templated" : true,
"profile" : "profile",
"name" : "name",
"href" : "https://api.thousandeyes.com/v7/link/to/resource/id",
"type" : "type",
"deprecation" : "deprecation",
"title" : "title"
}
},
"logs" : [ {
"wifiLogItem" : {
"bssidFrom" : "00:11:22:33:44:54",
"bssid" : "00:11:22:33:44:55",
"failure" : {
"code" : 4,
"context" : "WPA authentication failed",
"type" : "auth"
},
"logItemType" : "wifi-connect",
"channel" : "36",
"physicalMode" : "802.11ac",
"physicalModeFrom" : "802.11n",
"ssid" : "CorpWiFi",
"channelFrom" : "11"
},
"agentLogItemType" : "wifi",
"onlineOfflineLogItem" : {
"logItemType" : "online"
},
"id" : "8d23f1b7-74ef-4e0c-925c-58601fc0662d",
"vpnLogItem" : {
"logItemType" : "vpn-connect",
"vpnServerName" : "vpn-us-west",
"vpnType" : "cisco-anyconnect",
"vpnServerAddress" : "192.0.2.10"
},
"stateChangesLogItem" : {
"logItemType" : "enabled"
},
"timestampMs" : 1709240000000
}, {
"wifiLogItem" : {
"bssidFrom" : "00:11:22:33:44:54",
"bssid" : "00:11:22:33:44:55",
"failure" : {
"code" : 4,
"context" : "WPA authentication failed",
"type" : "auth"
},
"logItemType" : "wifi-connect",
"channel" : "36",
"physicalMode" : "802.11ac",
"physicalModeFrom" : "802.11n",
"ssid" : "CorpWiFi",
"channelFrom" : "11"
},
"agentLogItemType" : "wifi",
"onlineOfflineLogItem" : {
"logItemType" : "online"
},
"id" : "8d23f1b7-74ef-4e0c-925c-58601fc0662d",
"vpnLogItem" : {
"logItemType" : "vpn-connect",
"vpnServerName" : "vpn-us-west",
"vpnType" : "cisco-anyconnect",
"vpnServerAddress" : "192.0.2.10"
},
"stateChangesLogItem" : {
"logItemType" : "enabled"
},
"timestampMs" : 1709240000000
} ]
}"""
response_loaded_json = json.loads(response_body_json)
response_from_json = thousandeyes_sdk.endpoint_agents.models.EndpointAgentLogItemsResponse.from_json(response_body_json)
assert_constructed_model_matches_example_json(response_from_json, response_loaded_json)
if __name__ == '__main__':
unittest.main()

69
thousandeyes-sdk-endpoint-agents/test/test_endpoint_proxies_api.py Normal file
View File

@ -0,0 +1,69 @@
# coding: utf-8
"""
Endpoint Agents API
**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
import json
import unittest
import thousandeyes_sdk.endpoint_agents.models
from .test_utils import assert_constructed_model_matches_example_json
from thousandeyes_sdk.endpoint_agents.api.endpoint_proxies_api import EndpointProxiesApi
class TestEndpointProxiesApi(unittest.TestCase):
"""EndpointProxiesApi unit test stubs"""
def setUp(self) -> None:
self.api = EndpointProxiesApi()
def tearDown(self) -> None:
pass
def test_get_endpoint_proxies_models_validation(self) -> None:
"""Test case for get_endpoint_proxies request and response models"""
response_body_json = """
{
"proxies" : [ {
"testIds" : [ "9923667", "9923667" ],
"agentIds" : [ "861b7557-cd57-4bbb-b648-00bddf88ef49", "861b7557-cd57-4bbb-b648-00bddf88ef49" ],
"pac" : "https://example.com/proxy.pac",
"port" : 8080,
"name" : "Local Mitmproxy",
"host" : "localhost",
"type" : "static",
"userName" : "endpoint-proxy-user",
"authType" : "none",
"bypassList" : "localhost,127.0.0.1",
"proxyId" : "101498"
}, {
"testIds" : [ "9923667", "9923667" ],
"agentIds" : [ "861b7557-cd57-4bbb-b648-00bddf88ef49", "861b7557-cd57-4bbb-b648-00bddf88ef49" ],
"pac" : "https://example.com/proxy.pac",
"port" : 8080,
"name" : "Local Mitmproxy",
"host" : "localhost",
"type" : "static",
"userName" : "endpoint-proxy-user",
"authType" : "none",
"bypassList" : "localhost,127.0.0.1",
"proxyId" : "101498"
} ]
}"""
response_loaded_json = json.loads(response_body_json)
response_from_json = thousandeyes_sdk.endpoint_agents.models.EndpointProxiesResponse.from_json(response_body_json)
assert_constructed_model_matches_example_json(response_from_json, response_loaded_json)
if __name__ == '__main__':
unittest.main()

2
thousandeyes-sdk-endpoint-instant-tests/README.md
View File

@ -12,7 +12,7 @@ The URLs for these API test data endpoints are provided within the test definiti
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-endpoint-labels/README.md
View File

@ -4,7 +4,7 @@ Manage labels applied to endpoint agents using this API.
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-endpoint-test-results/README.md
View File

@ -3,7 +3,7 @@ Retrieve results for scheduled and dynamic tests on endpoint agents.
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

11
thousandeyes-sdk-endpoint-tests/.openapi-generator/FILES
View File

@ -25,7 +25,12 @@ docs/EndpointHttpServerTests.md
docs/EndpointHttpTestUpdate.md
docs/EndpointInstantTest.md
docs/EndpointIpVersionIn.md
docs/EndpointMonitoringSettings.md
docs/EndpointMonitoringSettingsType.md
docs/EndpointNetworkTestUpdate.md
docs/EndpointRealUserTest.md
docs/EndpointRealUserTestsApi.md
docs/EndpointRealUserTestsResponse.md
docs/EndpointScheduledTestType.md
docs/EndpointScheduledTestsApi.md
docs/EndpointSpecificAgentsSelectorConfig.md
@ -55,6 +60,7 @@ src/thousandeyes_sdk/endpoint_tests/__init__.py
src/thousandeyes_sdk/endpoint_tests/api/__init__.py
src/thousandeyes_sdk/endpoint_tests/api/agent_to_server_endpoint_dynamic_tests_api.py
src/thousandeyes_sdk/endpoint_tests/api/agent_to_server_endpoint_scheduled_tests_api.py
src/thousandeyes_sdk/endpoint_tests/api/endpoint_real_user_tests_api.py
src/thousandeyes_sdk/endpoint_tests/api/endpoint_scheduled_tests_api.py
src/thousandeyes_sdk/endpoint_tests/api/http_server_endpoint_scheduled_tests_api.py
src/thousandeyes_sdk/endpoint_tests/models/__init__.py
@ -80,7 +86,11 @@ src/thousandeyes_sdk/endpoint_tests/models/endpoint_http_server_tests.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_http_test_update.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_instant_test.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_ip_version_in.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_monitoring_settings.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_monitoring_settings_type.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_network_test_update.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_real_user_test.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_real_user_tests_response.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_scheduled_test_type.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_specific_agents_selector_config.py
src/thousandeyes_sdk/endpoint_tests/models/endpoint_test.py
@ -106,6 +116,7 @@ src/thousandeyes_sdk/endpoint_tests/py.typed
test/__init__.py
test/test_agent_to_server_endpoint_dynamic_tests_api.py
test/test_agent_to_server_endpoint_scheduled_tests_api.py
test/test_endpoint_real_user_tests_api.py
test/test_endpoint_scheduled_tests_api.py
test/test_http_server_endpoint_scheduled_tests_api.py
test/test_utils.py

7
thousandeyes-sdk-endpoint-tests/README.md
View File

@ -4,7 +4,7 @@ Manage endpoint agent dynamic and scheduled tests using the Endpoint Tests API.
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
@ -106,6 +106,7 @@ Class | Method | HTTP request | Description
*AgentToServerEndpointScheduledTestsApi* | [**get_agent_to_server_endpoint_scheduled_test**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/AgentToServerEndpointScheduledTestsApi.md#get_agent_to_server_endpoint_scheduled_test) | **GET** /endpoint/tests/scheduled-tests/agent-to-server/{testId} | Retrieve agent to server endpoint scheduled test
*AgentToServerEndpointScheduledTestsApi* | [**get_agent_to_server_endpoint_scheduled_tests**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/AgentToServerEndpointScheduledTestsApi.md#get_agent_to_server_endpoint_scheduled_tests) | **GET** /endpoint/tests/scheduled-tests/agent-to-server | List agent to server endpoint scheduled tests
*AgentToServerEndpointScheduledTestsApi* | [**update_agent_to_server_endpoint_scheduled_test**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/AgentToServerEndpointScheduledTestsApi.md#update_agent_to_server_endpoint_scheduled_test) | **PATCH** /endpoint/tests/scheduled-tests/agent-to-server/{testId} | Update agent to server endpoint scheduled test
*EndpointRealUserTestsApi* | [**get_endpoint_real_user_tests**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointRealUserTestsApi.md#get_endpoint_real_user_tests) | **GET** /endpoint/tests/real-user-tests | List endpoint real user tests
*EndpointScheduledTestsApi* | [**get_endpoint_scheduled_tests**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointScheduledTestsApi.md#get_endpoint_scheduled_tests) | **GET** /endpoint/tests/scheduled-tests | List endpoint scheduled tests
*HTTPServerEndpointScheduledTestsApi* | [**create_http_server_endpoint_scheduled_test**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/HTTPServerEndpointScheduledTestsApi.md#create_http_server_endpoint_scheduled_test) | **POST** /endpoint/tests/scheduled-tests/http-server | Create HTTP server endpoint scheduled test
*HTTPServerEndpointScheduledTestsApi* | [**delete_http_server_endpoint_scheduled_test**](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/HTTPServerEndpointScheduledTestsApi.md#delete_http_server_endpoint_scheduled_test) | **DELETE** /endpoint/tests/scheduled-tests/http-server/{testId} | Delete HTTP server scheduled test
@ -138,7 +139,11 @@ Class | Method | HTTP request | Description
- [EndpointHttpTestUpdate](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointHttpTestUpdate.md)
- [EndpointInstantTest](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointInstantTest.md)
- [EndpointIpVersionIn](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointIpVersionIn.md)
- [EndpointMonitoringSettings](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointMonitoringSettings.md)
- [EndpointMonitoringSettingsType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointMonitoringSettingsType.md)
- [EndpointNetworkTestUpdate](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointNetworkTestUpdate.md)
- [EndpointRealUserTest](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointRealUserTest.md)
- [EndpointRealUserTestsResponse](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointRealUserTestsResponse.md)
- [EndpointScheduledTestType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointScheduledTestType.md)
- [EndpointSpecificAgentsSelectorConfig](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointSpecificAgentsSelectorConfig.md)
- [EndpointTest](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-endpoint-tests/docs/EndpointTest.md)

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@ -0,0 +1,33 @@
# EndpointMonitoringSettings
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**monitoring_settings_id** | **str** | Unique ID of the monitoring settings. | [optional] [readonly]
**monitoring_settings_type** | [**EndpointMonitoringSettingsType**](EndpointMonitoringSettingsType.md) | |
**agent_ids** | **List[str]** | Endpoint Agent IDs selected by the monitoring settings. | [optional]
**tag_ids** | **List[str]** | Endpoint Agent tag IDs selected by the monitoring settings. | [optional]
**label_ids** | **List[str]** | Legacy Endpoint Agent label IDs selected by the monitoring settings. | [optional]
## Example
```python
from thousandeyes_sdk.endpoint_tests.models.endpoint_monitoring_settings import EndpointMonitoringSettings
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointMonitoringSettings from a JSON string
endpoint_monitoring_settings_instance = EndpointMonitoringSettings.from_json(json)
# print the JSON string representation of the object
print(EndpointMonitoringSettings.to_json())
# convert the object into a dict
endpoint_monitoring_settings_dict = endpoint_monitoring_settings_instance.to_dict()
# create an instance of EndpointMonitoringSettings from a dict
endpoint_monitoring_settings_from_dict = EndpointMonitoringSettings.from_dict(endpoint_monitoring_settings_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

12
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@ -0,0 +1,12 @@
# EndpointMonitoringSettingsType
Endpoint Agent selector type used by the monitoring settings.
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

34
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@ -0,0 +1,34 @@
# EndpointRealUserTest
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**profile_id** | **str** | Unique ID of the monitoring profile. | [readonly]
**aid** | **str** | A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. |
**name** | **str** | Monitoring profile name. | [readonly]
**included_domains** | **List[str]** | Domains included in real user monitoring. |
**excluded_domains** | **List[str]** | Domains excluded from real user monitoring. |
**monitoring_settings** | [**EndpointMonitoringSettings**](EndpointMonitoringSettings.md) | |
## Example
```python
from thousandeyes_sdk.endpoint_tests.models.endpoint_real_user_test import EndpointRealUserTest
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointRealUserTest from a JSON string
endpoint_real_user_test_instance = EndpointRealUserTest.from_json(json)
# print the JSON string representation of the object
print(EndpointRealUserTest.to_json())
# convert the object into a dict
endpoint_real_user_test_dict = endpoint_real_user_test_instance.to_dict()
# create an instance of EndpointRealUserTest from a dict
endpoint_real_user_test_from_dict = EndpointRealUserTest.from_dict(endpoint_real_user_test_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

92
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# thousandeyes_sdk.endpoint_tests.EndpointRealUserTestsApi
All URIs are relative to *https://api.thousandeyes.com/v7*
Method | HTTP request | Description
------------- | ------------- | -------------
[**get_endpoint_real_user_tests**](EndpointRealUserTestsApi.md#get_endpoint_real_user_tests) | **GET** /endpoint/tests/real-user-tests | List endpoint real user tests
# **get_endpoint_real_user_tests**
> EndpointRealUserTestsResponse get_endpoint_real_user_tests(aid=aid)
List endpoint real user tests
Returns real user test domain monitoring profiles for endpoint agents.
### Example
* Bearer Authentication (BearerAuth):
```python
import thousandeyes_sdk.endpoint_tests
from thousandeyes_sdk.endpoint_tests.models.endpoint_real_user_tests_response import EndpointRealUserTestsResponse
from thousandeyes_sdk.endpoint_tests.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to https://api.thousandeyes.com/v7
# See configuration.py for a list of all supported configuration parameters.
configuration = thousandeyes_sdk.core.Configuration(
host = "https://api.thousandeyes.com/v7"
)
# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.
# Configure Bearer authorization: BearerAuth
configuration = thousandeyes_sdk.core.Configuration(
access_token = os.environ["BEARER_TOKEN"]
)
# Enter a context with an instance of the API client
with thousandeyes_sdk.core.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = thousandeyes_sdk.endpoint_tests.EndpointRealUserTestsApi(api_client)
aid = '1234' # str | A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response. (optional)
try:
# List endpoint real user tests
api_response = api_instance.get_endpoint_real_user_tests(aid=aid)
print("The response of EndpointRealUserTestsApi->get_endpoint_real_user_tests:\n")
pprint(api_response)
except Exception as e:
print("Exception when calling EndpointRealUserTestsApi->get_endpoint_real_user_tests: %s\n" % e)
```
### Parameters
Name | Type | Description | Notes
------------- | ------------- | ------------- | -------------
**aid** | **str**| A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response. | [optional]
### Return type
[**EndpointRealUserTestsResponse**](EndpointRealUserTestsResponse.md)
### Authorization
[BearerAuth](../README.md#BearerAuth)
### HTTP request headers
- **Content-Type**: Not defined
- **Accept**: application/json, application/problem+json
### HTTP response details
| Status code | Description | Response headers |
|-------------|-------------|------------------|
**200** | Real user test domain monitoring profiles. | - |
**401** | Unauthorized | - |
**403** | Insufficient permissions to query endpoint | - |
**429** | Exhausted rate limit for the organization | - |
**500** | Internal server error | - |
**0** | An error occurred | - |
[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)

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# EndpointRealUserTestsResponse
## Properties
Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**real_user_tests** | [**List[EndpointRealUserTest]**](EndpointRealUserTest.md) | Real user test domain monitoring profiles. |
## Example
```python
from thousandeyes_sdk.endpoint_tests.models.endpoint_real_user_tests_response import EndpointRealUserTestsResponse
# TODO update the JSON string below
json = "{}"
# create an instance of EndpointRealUserTestsResponse from a JSON string
endpoint_real_user_tests_response_instance = EndpointRealUserTestsResponse.from_json(json)
# print the JSON string representation of the object
print(EndpointRealUserTestsResponse.to_json())
# convert the object into a dict
endpoint_real_user_tests_response_dict = endpoint_real_user_tests_response_instance.to_dict()
# create an instance of EndpointRealUserTestsResponse from a dict
endpoint_real_user_tests_response_from_dict = EndpointRealUserTestsResponse.from_dict(endpoint_real_user_tests_response_dict)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)

5
thousandeyes-sdk-endpoint-tests/src/thousandeyes_sdk/endpoint_tests/__init__.py
View File

@ -16,6 +16,7 @@
# import apis into sdk package
from thousandeyes_sdk.endpoint_tests.api.agent_to_server_endpoint_dynamic_tests_api import AgentToServerEndpointDynamicTestsApi
from thousandeyes_sdk.endpoint_tests.api.agent_to_server_endpoint_scheduled_tests_api import AgentToServerEndpointScheduledTestsApi
from thousandeyes_sdk.endpoint_tests.api.endpoint_real_user_tests_api import EndpointRealUserTestsApi
from thousandeyes_sdk.endpoint_tests.api.endpoint_scheduled_tests_api import EndpointScheduledTestsApi
from thousandeyes_sdk.endpoint_tests.api.http_server_endpoint_scheduled_tests_api import HTTPServerEndpointScheduledTestsApi
@ -43,7 +44,11 @@ from thousandeyes_sdk.endpoint_tests.models.endpoint_http_server_tests import En
from thousandeyes_sdk.endpoint_tests.models.endpoint_http_test_update import EndpointHttpTestUpdate
from thousandeyes_sdk.endpoint_tests.models.endpoint_instant_test import EndpointInstantTest
from thousandeyes_sdk.endpoint_tests.models.endpoint_ip_version_in import EndpointIpVersionIn
from thousandeyes_sdk.endpoint_tests.models.endpoint_monitoring_settings import EndpointMonitoringSettings
from thousandeyes_sdk.endpoint_tests.models.endpoint_monitoring_settings_type import EndpointMonitoringSettingsType
from thousandeyes_sdk.endpoint_tests.models.endpoint_network_test_update import EndpointNetworkTestUpdate
from thousandeyes_sdk.endpoint_tests.models.endpoint_real_user_test import EndpointRealUserTest
from thousandeyes_sdk.endpoint_tests.models.endpoint_real_user_tests_response import EndpointRealUserTestsResponse
from thousandeyes_sdk.endpoint_tests.models.endpoint_scheduled_test_type import EndpointScheduledTestType
from thousandeyes_sdk.endpoint_tests.models.endpoint_specific_agents_selector_config import EndpointSpecificAgentsSelectorConfig
from thousandeyes_sdk.endpoint_tests.models.endpoint_test import EndpointTest

1
thousandeyes-sdk-endpoint-tests/src/thousandeyes_sdk/endpoint_tests/api/__init__.py
View File

@ -3,6 +3,7 @@
# import apis into api package
from thousandeyes_sdk.endpoint_tests.api.agent_to_server_endpoint_dynamic_tests_api import AgentToServerEndpointDynamicTestsApi
from thousandeyes_sdk.endpoint_tests.api.agent_to_server_endpoint_scheduled_tests_api import AgentToServerEndpointScheduledTestsApi
from thousandeyes_sdk.endpoint_tests.api.endpoint_real_user_tests_api import EndpointRealUserTestsApi
from thousandeyes_sdk.endpoint_tests.api.endpoint_scheduled_tests_api import EndpointScheduledTestsApi
from thousandeyes_sdk.endpoint_tests.api.http_server_endpoint_scheduled_tests_api import HTTPServerEndpointScheduledTestsApi

318
thousandeyes-sdk-endpoint-tests/src/thousandeyes_sdk/endpoint_tests/api/endpoint_real_user_tests_api.py Normal file
View File

@ -0,0 +1,318 @@
# coding: utf-8
"""
Endpoint Tests API
Manage endpoint agent dynamic and scheduled tests using the Endpoint Tests API.
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
import warnings
from pydantic import validate_call, Field, StrictFloat, StrictStr, StrictInt
from typing import Any, Dict, List, Optional, Tuple, Union
from typing_extensions import Annotated
from importlib.metadata import version
import thousandeyes_sdk.endpoint_tests.models
from pydantic import Field, StrictStr
from typing import Optional
from typing_extensions import Annotated
from thousandeyes_sdk.endpoint_tests.models.endpoint_real_user_tests_response import EndpointRealUserTestsResponse
from thousandeyes_sdk.core.api_client import ApiClient, RequestSerialized
from thousandeyes_sdk.core.api_response import ApiResponse
from thousandeyes_sdk.core.rest import RESTResponseType
class EndpointRealUserTestsApi:
"""NOTE: This class is auto generated by OpenAPI Generator
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
def __init__(self, api_client=None) -> None:
if api_client is None:
api_client = ApiClient.get_default()
api_client.user_agent = "ThousandEyesSDK-Python/{0}".format(version("thousandeyes-sdk-endpoint-tests"))
self.api_client = api_client
@validate_call
def get_endpoint_real_user_tests(
self,
aid: Annotated[Optional[StrictStr], Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.")] = None,
_request_timeout: Union[
None,
Annotated[StrictFloat, Field(gt=0)],
Tuple[
Annotated[StrictFloat, Field(gt=0)],
Annotated[StrictFloat, Field(gt=0)]
]
] = None,
_request_auth: Optional[Dict[StrictStr, Any]] = None,
_content_type: Optional[StrictStr] = None,
_headers: Optional[Dict[StrictStr, Any]] = None,
_host_index: Annotated[StrictInt, Field(ge=0, le=0)] = 0,
) -> EndpointRealUserTestsResponse:
"""List endpoint real user tests
Returns real user test domain monitoring profiles for endpoint agents.
:param aid: A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.
:type aid: str
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:type _request_timeout: int, tuple(int, int), optional
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the
authentication in the spec for a single request.
:type _request_auth: dict, optional
:param _content_type: force content-type for the request.
:type _content_type: str, Optional
:param _headers: set to override the headers for a single
request; this effectively ignores the headers
in the spec for a single request.
:type _headers: dict, optional
:param _host_index: set to override the host_index for a single
request; this effectively ignores the host_index
in the spec for a single request.
:type _host_index: int, optional
:return: Returns the result object.
""" # noqa: E501
_param = self._get_endpoint_real_user_tests_serialize(
aid=aid,
_request_auth=_request_auth,
_content_type=_content_type,
_headers=_headers,
_host_index=_host_index
)
_response_types_map: Dict[str, Optional[str]] = {
'200': "EndpointRealUserTestsResponse",
'401': "UnauthorizedError",
'403': "Error",
'429': "Error",
'500': "Error",
}
response_data = self.api_client.call_api(
*_param,
_request_timeout=_request_timeout
)
response_data.read()
return self.api_client.response_deserialize(
response_data=response_data,
response_types_map=_response_types_map,
models=thousandeyes_sdk.endpoint_tests.models,
).data
@validate_call
def get_endpoint_real_user_tests_with_http_info(
self,
aid: Annotated[Optional[StrictStr], Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.")] = None,
_request_timeout: Union[
None,
Annotated[StrictFloat, Field(gt=0)],
Tuple[
Annotated[StrictFloat, Field(gt=0)],
Annotated[StrictFloat, Field(gt=0)]
]
] = None,
_request_auth: Optional[Dict[StrictStr, Any]] = None,
_content_type: Optional[StrictStr] = None,
_headers: Optional[Dict[StrictStr, Any]] = None,
_host_index: Annotated[StrictInt, Field(ge=0, le=0)] = 0,
) -> ApiResponse[EndpointRealUserTestsResponse]:
"""List endpoint real user tests
Returns real user test domain monitoring profiles for endpoint agents.
:param aid: A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.
:type aid: str
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:type _request_timeout: int, tuple(int, int), optional
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the
authentication in the spec for a single request.
:type _request_auth: dict, optional
:param _content_type: force content-type for the request.
:type _content_type: str, Optional
:param _headers: set to override the headers for a single
request; this effectively ignores the headers
in the spec for a single request.
:type _headers: dict, optional
:param _host_index: set to override the host_index for a single
request; this effectively ignores the host_index
in the spec for a single request.
:type _host_index: int, optional
:return: Returns the result object.
""" # noqa: E501
_param = self._get_endpoint_real_user_tests_serialize(
aid=aid,
_request_auth=_request_auth,
_content_type=_content_type,
_headers=_headers,
_host_index=_host_index
)
_response_types_map: Dict[str, Optional[str]] = {
'200': "EndpointRealUserTestsResponse",
'401': "UnauthorizedError",
'403': "Error",
'429': "Error",
'500': "Error",
}
response_data = self.api_client.call_api(
*_param,
_request_timeout=_request_timeout
)
response_data.read()
return self.api_client.response_deserialize(
response_data=response_data,
response_types_map=_response_types_map,
models=thousandeyes_sdk.endpoint_tests.models,
)
@validate_call
def get_endpoint_real_user_tests_without_preload_content(
self,
aid: Annotated[Optional[StrictStr], Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.")] = None,
_request_timeout: Union[
None,
Annotated[StrictFloat, Field(gt=0)],
Tuple[
Annotated[StrictFloat, Field(gt=0)],
Annotated[StrictFloat, Field(gt=0)]
]
] = None,
_request_auth: Optional[Dict[StrictStr, Any]] = None,
_content_type: Optional[StrictStr] = None,
_headers: Optional[Dict[StrictStr, Any]] = None,
_host_index: Annotated[StrictInt, Field(ge=0, le=0)] = 0,
) -> RESTResponseType:
"""List endpoint real user tests
Returns real user test domain monitoring profiles for endpoint agents.
:param aid: A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint. Note that you must be assigned to the target account group. Specifying this parameter without being assigned to the target account group will result in an error response.
:type aid: str
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:type _request_timeout: int, tuple(int, int), optional
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the
authentication in the spec for a single request.
:type _request_auth: dict, optional
:param _content_type: force content-type for the request.
:type _content_type: str, Optional
:param _headers: set to override the headers for a single
request; this effectively ignores the headers
in the spec for a single request.
:type _headers: dict, optional
:param _host_index: set to override the host_index for a single
request; this effectively ignores the host_index
in the spec for a single request.
:type _host_index: int, optional
:return: Returns the result object.
""" # noqa: E501
_param = self._get_endpoint_real_user_tests_serialize(
aid=aid,
_request_auth=_request_auth,
_content_type=_content_type,
_headers=_headers,
_host_index=_host_index
)
_response_types_map: Dict[str, Optional[str]] = {
'200': "EndpointRealUserTestsResponse",
'401': "UnauthorizedError",
'403': "Error",
'429': "Error",
'500': "Error",
}
response_data = self.api_client.call_api(
*_param,
_request_timeout=_request_timeout
)
return response_data.response
def _get_endpoint_real_user_tests_serialize(
self,
aid,
_request_auth,
_content_type,
_headers,
_host_index,
) -> RequestSerialized:
_host = None
_collection_formats: Dict[str, str] = {
}
_path_params: Dict[str, str] = {}
_query_params: List[Tuple[str, str]] = []
_header_params: Dict[str, Optional[str]] = _headers or {}
_form_params: List[Tuple[str, str]] = []
_files: Dict[str, Union[str, bytes]] = {}
_body_params: Optional[bytes] = None
# process the path parameters
# process the query parameters
if aid is not None:
_query_params.append(('aid', aid))
# process the header parameters
# process the form parameters
# process the body parameter
# set the HTTP header `Accept`
_header_params['Accept'] = self.api_client.select_header_accept(
[
'application/json',
'application/problem+json'
]
)
# authentication setting
_auth_settings: List[str] = [
'BearerAuth'
]
return self.api_client.param_serialize(
method='GET',
resource_path='/endpoint/tests/real-user-tests',
path_params=_path_params,
query_params=_query_params,
header_params=_header_params,
body=_body_params,
post_params=_form_params,
files=_files,
auth_settings=_auth_settings,
collection_formats=_collection_formats,
_host=_host,
_request_auth=_request_auth
)

4
thousandeyes-sdk-endpoint-tests/src/thousandeyes_sdk/endpoint_tests/models/__init__.py
View File

@ -35,7 +35,11 @@ from thousandeyes_sdk.endpoint_tests.models.endpoint_http_server_tests import En
from thousandeyes_sdk.endpoint_tests.models.endpoint_http_test_update import EndpointHttpTestUpdate
from thousandeyes_sdk.endpoint_tests.models.endpoint_instant_test import EndpointInstantTest
from thousandeyes_sdk.endpoint_tests.models.endpoint_ip_version_in import EndpointIpVersionIn
from thousandeyes_sdk.endpoint_tests.models.endpoint_monitoring_settings import EndpointMonitoringSettings
from thousandeyes_sdk.endpoint_tests.models.endpoint_monitoring_settings_type import EndpointMonitoringSettingsType
from thousandeyes_sdk.endpoint_tests.models.endpoint_network_test_update import EndpointNetworkTestUpdate
from thousandeyes_sdk.endpoint_tests.models.endpoint_real_user_test import EndpointRealUserTest
from thousandeyes_sdk.endpoint_tests.models.endpoint_real_user_tests_response import EndpointRealUserTestsResponse
from thousandeyes_sdk.endpoint_tests.models.endpoint_scheduled_test_type import EndpointScheduledTestType
from thousandeyes_sdk.endpoint_tests.models.endpoint_specific_agents_selector_config import EndpointSpecificAgentsSelectorConfig
from thousandeyes_sdk.endpoint_tests.models.endpoint_test import EndpointTest

118
thousandeyes-sdk-endpoint-tests/src/thousandeyes_sdk/endpoint_tests/models/endpoint_monitoring_settings.py Normal file
View File

@ -0,0 +1,118 @@
# coding: utf-8
"""
Endpoint Tests API
Manage endpoint agent dynamic and scheduled tests using the Endpoint Tests API.
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.endpoint_tests.models.endpoint_monitoring_settings_type import EndpointMonitoringSettingsType
from typing import Optional, Set
from typing_extensions import Self
class EndpointMonitoringSettings(BaseModel):
"""
EndpointMonitoringSettings
""" # noqa: E501
monitoring_settings_id: Optional[StrictStr] = Field(default=None, description="Unique ID of the monitoring settings.", alias="monitoringSettingsId")
monitoring_settings_type: EndpointMonitoringSettingsType = Field(alias="monitoringSettingsType")
agent_ids: Optional[List[StrictStr]] = Field(default=None, description="Endpoint Agent IDs selected by the monitoring settings.", alias="agentIds")
tag_ids: Optional[List[StrictStr]] = Field(default=None, description="Endpoint Agent tag IDs selected by the monitoring settings.", alias="tagIds")
label_ids: Optional[List[StrictStr]] = Field(default=None, description="Legacy Endpoint Agent label IDs selected by the monitoring settings.", alias="labelIds")
__properties: ClassVar[List[str]] = ["monitoringSettingsId", "monitoringSettingsType", "agentIds", "tagIds", "labelIds"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointMonitoringSettings from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
* OpenAPI `readOnly` fields are excluded.
"""
excluded_fields: Set[str] = set([
"monitoring_settings_id",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# set to None if monitoring_settings_id (nullable) is None
# and model_fields_set contains the field
if self.monitoring_settings_id is None and "monitoring_settings_id" in self.model_fields_set:
_dict['monitoringSettingsId'] = None
# set to None if agent_ids (nullable) is None
# and model_fields_set contains the field
if self.agent_ids is None and "agent_ids" in self.model_fields_set:
_dict['agentIds'] = None
# set to None if tag_ids (nullable) is None
# and model_fields_set contains the field
if self.tag_ids is None and "tag_ids" in self.model_fields_set:
_dict['tagIds'] = None
# set to None if label_ids (nullable) is None
# and model_fields_set contains the field
if self.label_ids is None and "label_ids" in self.model_fields_set:
_dict['labelIds'] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointMonitoringSettings from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"monitoringSettingsId": obj.get("monitoringSettingsId"),
"monitoringSettingsType": obj.get("monitoringSettingsType"),
"agentIds": obj.get("agentIds"),
"tagIds": obj.get("tagIds"),
"labelIds": obj.get("labelIds")
})
return _obj

43
thousandeyes-sdk-endpoint-tests/src/thousandeyes_sdk/endpoint_tests/models/endpoint_monitoring_settings_type.py Normal file
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@ -0,0 +1,43 @@
# coding: utf-8
"""
Endpoint Tests API
Manage endpoint agent dynamic and scheduled tests using the Endpoint Tests API.
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
from enum import Enum
from typing_extensions import Self
class EndpointMonitoringSettingsType(str, Enum):
"""
Endpoint Agent selector type used by the monitoring settings.
"""
"""
allowed enum values
"""
ALL_MINUS_AGENTS = 'all-agents'
SPECIFIC_MINUS_AGENTS = 'specific-agents'
AGENT_MINUS_LABELS = 'agent-labels'
AGENT_MINUS_TAGS = 'agent-tags'
UNKNOWN = 'unknown'
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of EndpointMonitoringSettingsType from a JSON string"""
return cls(json.loads(json_str))
@classmethod
def _missing_(cls, value):
"""Handle unknown values"""
return cls.UNKNOWN

105
thousandeyes-sdk-endpoint-tests/src/thousandeyes_sdk/endpoint_tests/models/endpoint_real_user_test.py Normal file
View File

@ -0,0 +1,105 @@
# coding: utf-8
"""
Endpoint Tests API
Manage endpoint agent dynamic and scheduled tests using the Endpoint Tests API.
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List
from thousandeyes_sdk.endpoint_tests.models.endpoint_monitoring_settings import EndpointMonitoringSettings
from typing import Optional, Set
from typing_extensions import Self
class EndpointRealUserTest(BaseModel):
"""
EndpointRealUserTest
""" # noqa: E501
profile_id: StrictStr = Field(description="Unique ID of the monitoring profile.", alias="profileId")
aid: StrictStr = Field(description="A unique identifier associated with your account group. You can retrieve your `AccountGroupId` from the `/account-groups` endpoint.")
name: StrictStr = Field(description="Monitoring profile name.")
included_domains: List[StrictStr] = Field(description="Domains included in real user monitoring.", alias="includedDomains")
excluded_domains: List[StrictStr] = Field(description="Domains excluded from real user monitoring.", alias="excludedDomains")
monitoring_settings: EndpointMonitoringSettings = Field(alias="monitoringSettings")
__properties: ClassVar[List[str]] = ["profileId", "aid", "name", "includedDomains", "excludedDomains", "monitoringSettings"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointRealUserTest from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
"""
excluded_fields: Set[str] = set([
"profile_id",
"name",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of monitoring_settings
if self.monitoring_settings:
_dict['monitoringSettings'] = self.monitoring_settings.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointRealUserTest from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"profileId": obj.get("profileId"),
"aid": obj.get("aid"),
"name": obj.get("name"),
"includedDomains": obj.get("includedDomains"),
"excludedDomains": obj.get("excludedDomains"),
"monitoringSettings": EndpointMonitoringSettings.from_dict(obj["monitoringSettings"]) if obj.get("monitoringSettings") is not None else None
})
return _obj

95
thousandeyes-sdk-endpoint-tests/src/thousandeyes_sdk/endpoint_tests/models/endpoint_real_user_tests_response.py Normal file
View File

@ -0,0 +1,95 @@
# coding: utf-8
"""
Endpoint Tests API
Manage endpoint agent dynamic and scheduled tests using the Endpoint Tests API.
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field
from typing import Any, ClassVar, Dict, List
from thousandeyes_sdk.endpoint_tests.models.endpoint_real_user_test import EndpointRealUserTest
from typing import Optional, Set
from typing_extensions import Self
class EndpointRealUserTestsResponse(BaseModel):
"""
EndpointRealUserTestsResponse
""" # noqa: E501
real_user_tests: List[EndpointRealUserTest] = Field(description="Real user test domain monitoring profiles.", alias="realUserTests")
__properties: ClassVar[List[str]] = ["realUserTests"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
extra="allow",
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of EndpointRealUserTestsResponse from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of each item in real_user_tests (list)
_items = []
if self.real_user_tests:
for _item in self.real_user_tests:
if _item:
_items.append(_item.to_dict())
_dict['realUserTests'] = _items
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of EndpointRealUserTestsResponse from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"realUserTests": [EndpointRealUserTest.from_dict(_item) for _item in obj["realUserTests"]] if obj.get("realUserTests") is not None else None
})
return _obj

69
thousandeyes-sdk-endpoint-tests/test/test_endpoint_real_user_tests_api.py Normal file
View File

@ -0,0 +1,69 @@
# coding: utf-8
"""
Endpoint Tests API
Manage endpoint agent dynamic and scheduled tests using the Endpoint Tests API.
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
import json
import unittest
import thousandeyes_sdk.endpoint_tests.models
from .test_utils import assert_constructed_model_matches_example_json
from thousandeyes_sdk.endpoint_tests.api.endpoint_real_user_tests_api import EndpointRealUserTestsApi
class TestEndpointRealUserTestsApi(unittest.TestCase):
"""EndpointRealUserTestsApi unit test stubs"""
def setUp(self) -> None:
self.api = EndpointRealUserTestsApi()
def tearDown(self) -> None:
pass
def test_get_endpoint_real_user_tests_models_validation(self) -> None:
"""Test case for get_endpoint_real_user_tests request and response models"""
response_body_json = """
{
"realUserTests" : [ {
"includedDomains" : [ "example.com", "example.com" ],
"profileId" : "73421",
"monitoringSettings" : {
"monitoringSettingsId" : "1f5c1b5d-8a0d-4d6b-a3be-56b060f7f2c9",
"monitoringSettingsType" : "agent-tags",
"tagIds" : [ "49d9e7d2-7df5-43df-9b37-aa596b929062" ],
"labelIds" : [ "567" ]
},
"name" : "Corporate domains",
"excludedDomains" : [ "static.example.com", "static.example.com" ],
"aid" : "1234"
}, {
"includedDomains" : [ "example.com", "example.com" ],
"profileId" : "73421",
"monitoringSettings" : {
"monitoringSettingsId" : "1f5c1b5d-8a0d-4d6b-a3be-56b060f7f2c9",
"monitoringSettingsType" : "agent-tags",
"tagIds" : [ "49d9e7d2-7df5-43df-9b37-aa596b929062" ],
"labelIds" : [ "567" ]
},
"name" : "Corporate domains",
"excludedDomains" : [ "static.example.com", "static.example.com" ],
"aid" : "1234"
} ]
}"""
response_loaded_json = json.loads(response_body_json)
response_from_json = thousandeyes_sdk.endpoint_tests.models.EndpointRealUserTestsResponse.from_json(response_body_json)
assert_constructed_model_matches_example_json(response_from_json, response_loaded_json)
if __name__ == '__main__':
unittest.main()

2
thousandeyes-sdk-event-detection/README.md
View File

@ -11,7 +11,7 @@ With the Events API, you can perform the following tasks on the ThousandEyes pla
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-instant-tests/README.md
View File

@ -6,7 +6,7 @@ The response does not include the immediate test results. Use the Test Results e
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-internet-insights/README.md
View File

@ -16,7 +16,7 @@ For more information about Internet Insights, see the [Internet Insights](https:
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-snapshots/README.md
View File

@ -3,7 +3,7 @@ Creates a new test snapshot in ThousandEyes.
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

11
thousandeyes-sdk-streaming/README.md
View File

@ -1,5 +1,12 @@
# thousandeyes-sdk-streaming
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance.
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance:
* Traces
* OTel-based integrations that rely on connectors and operations, including:
* Splunk Cloud Platform HEC
* Splunk Enterprise HEC
* Splunk Observability APM
* Dynatrace Observability APM
ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry.
@ -17,7 +24,7 @@ For more information about ThousandEyes for OpenTelemetry, see the [product docu
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
- API version: 7.0.93
- API version: 7.0.94
- Generator version: 7.6.0
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/__init__.py
View File

@ -5,7 +5,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/api/streaming_api.py
View File

@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/__init__.py
View File

@ -4,7 +4,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/api_error.py
View File

@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/api_error_integration_limits.py
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@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/audit_operation.py
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@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/audit_operation_with_update.py
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@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/bad_request_error.py
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@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/create_stream_response.py
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@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/data_model_version.py
View File

@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/endpoint_agent_label.py
View File

@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/endpoint_agent_tag.py
View File

@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/endpoint_type.py
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@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/exporter_config.py
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@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/exporter_config_authorization.py
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@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/exporter_config_o_auth2.py
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@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/exporter_config_splunk_hec.py
View File

@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/filters.py
View File

@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/filters_test_types.py
View File

@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/get_stream_response.py
View File

@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

2
thousandeyes-sdk-streaming/src/thousandeyes_sdk/streaming/models/put_stream.py
View File

@ -3,7 +3,7 @@
"""
ThousandEyes for OpenTelemetry API
**Note:** All ThousandEyes for OpenTelemetry APIs are not available for ThousandEyes for Government instance. ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
**Note:** The following ThousandEyes for OpenTelemetry API capabilities are not available for ThousandEyes for Government instance: * Traces * OTel-based integrations that rely on connectors and operations, including: * Splunk Cloud Platform HEC * Splunk Enterprise HEC * Splunk Observability APM * Dynatrace Observability APM ThousandEyes for OpenTelemetry provides machine-to-machine integration between ThousandEyes and its customers. It allows you to export ThousandEyes telemetry data in OTel format, which is widely used in the industry. With ThousandEyes for OTel, you can leverage frameworks widely used in the observability domain - such as Splunk, Grafana, and Honeycomb - to capture and analyze ThousandEyes data. Any client that supports OTel can use ThousandEyes for OpenTelemetry. ThousandEyes for OTel is made up of the following components: * Data streaming APIs that you can use to configure and enable your ThousandEyes tests with OTel-compatible streams, in particular to configure how ThousandEyes telemetry data is exported to client integrations. * A set of streaming pipelines called _collectors_ that actively fetch ThousandEyes network test data, enrich the data with some additional detail, filter, and push the data to the customer-configured endpoints, depending on what you configure via the public APIs. * Third-party OTel collectors that receive, transform, filter, and export different metrics to client applications such as AppD, or any other OTel-capable client configuration. For more information about ThousandEyes for OpenTelemetry, see the [product documentation](https://docs.thousandeyes.com/product-documentation/integration-guides/opentelemetry).
Generated by OpenAPI Generator (https://openapi-generator.tech)

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