mirror of
https://github.com/thousandeyes/thousandeyes-sdk-python.git
synced 2025-12-06 06:26:51 +00:00
[GitHub Bot] Generated python SDK
This commit is contained in:
API Team
parent
e76d1fb0d4
commit
521d64650f
@ -12,7 +12,7 @@ This API provides the following operations to manage your organization:
|
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|
||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
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||||
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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||||
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||||
@ -5,7 +5,7 @@ Manage all agents available to your account in ThousandEyes, including both Clou
|
||||
|
||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
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||||
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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||||
|
||||
@ -12,7 +12,7 @@ For more information about the alerts, see [Alerts](https://docs.thousandeyes.co
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||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
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||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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||||
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@ -9,7 +9,7 @@ For more information about monitors, see [Inside-Out BGP Visibility](https://doc
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|
||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
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||||
- API version: 7.0.21
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||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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||||
|
||||
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||||
@ -13,7 +13,7 @@ For more information about credentials, see [Working With Secure Credentials](ht
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||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
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||||
- API version: 7.0.21
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- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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@ -3,7 +3,7 @@ Manage ThousandEyes Dashboards.
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This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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||||
|
||||
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||||
@ -9,7 +9,7 @@ To access Emulation API operations, the following permissions are required:
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||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
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||||
- API version: 7.0.21
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||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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@ -5,7 +5,7 @@ For more information about Endpoint Agents, see [Endpoint Agents](https://docs.t
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This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
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||||
- API version: 7.0.21
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||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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||||
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@ -13,7 +13,7 @@ The URLs for these API test data endpoints are provided within the test definiti
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||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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||||
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||||
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@ -4,7 +4,7 @@ Manage labels applied to endpoint agents using this API.
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This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
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|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
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||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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@ -3,7 +3,7 @@ Retrieve results for scheduled and dynamic tests on endpoint agents.
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This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
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- API version: 7.0.20
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- API version: 7.0.21
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- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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@ -380,11 +380,11 @@ class TestRealUserEndpointTestResultsApi(unittest.TestCase):
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"log" : {
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"browser" : {
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"name" : "Google Chrome",
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"version" : "7.0.20.98"
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"version" : "7.0.21.98"
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},
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"creator" : {
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"name" : "ThousandEyes Endpoint Agent",
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"version" : "7.0.20"
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"version" : "7.0.21"
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},
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"entries" : [ {
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"pageref" : "page_1",
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@ -5,7 +5,7 @@ Manage endpoint agent dynamic and scheduled tests using the Endpoint Tests API.
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This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
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|
||||
- API version: 7.0.20
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||||
- API version: 7.0.21
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||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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@ -12,7 +12,7 @@ With the Events API, you can perform the following tasks on the ThousandEyes pla
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This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
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|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
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||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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@ -8,7 +8,7 @@ The response does not include the immediate test results. Use the Test Results e
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This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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@ -14,7 +14,7 @@ For more information about Internet Insights, see the [Internet Insights](https:
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||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
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- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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@ -3,7 +3,7 @@ Creates a new test snapshot in ThousandEyes.
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||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
|
||||
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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@ -11,6 +11,8 @@ docs/DataModelVersion.md
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docs/EndpointType.md
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docs/ExporterConfig.md
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docs/ExporterConfigSplunkHec.md
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docs/Filters.md
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docs/FiltersTestTypes.md
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docs/GetStreamResponse.md
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docs/PutStream.md
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docs/Stream.md
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@ -23,6 +25,7 @@ docs/TagMatch.md
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docs/TagMatchObjectType.md
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docs/TestMatch.md
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docs/TestMatchDomain.md
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docs/TestType.md
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docs/UnauthorizedError.md
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pyproject.toml
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setup.cfg
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@ -40,6 +43,8 @@ src/thousandeyes_sdk/streaming/models/data_model_version.py
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src/thousandeyes_sdk/streaming/models/endpoint_type.py
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src/thousandeyes_sdk/streaming/models/exporter_config.py
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src/thousandeyes_sdk/streaming/models/exporter_config_splunk_hec.py
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src/thousandeyes_sdk/streaming/models/filters.py
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src/thousandeyes_sdk/streaming/models/filters_test_types.py
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src/thousandeyes_sdk/streaming/models/get_stream_response.py
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src/thousandeyes_sdk/streaming/models/put_stream.py
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src/thousandeyes_sdk/streaming/models/stream.py
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@ -51,6 +56,7 @@ src/thousandeyes_sdk/streaming/models/tag_match.py
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src/thousandeyes_sdk/streaming/models/tag_match_object_type.py
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src/thousandeyes_sdk/streaming/models/test_match.py
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src/thousandeyes_sdk/streaming/models/test_match_domain.py
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src/thousandeyes_sdk/streaming/models/test_type.py
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src/thousandeyes_sdk/streaming/models/unauthorized_error.py
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src/thousandeyes_sdk/streaming/py.typed
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test/__init__.py
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@ -15,7 +15,7 @@ For more information about ThousandEyes for OpenTelemetry, see the [documentatio
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||||
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||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
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||||
- Generator version: 7.6.0
|
||||
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
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@ -126,6 +126,8 @@ Class | Method | HTTP request | Description
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- [EndpointType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/EndpointType.md)
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- [ExporterConfig](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/ExporterConfig.md)
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- [ExporterConfigSplunkHec](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/ExporterConfigSplunkHec.md)
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- [Filters](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/Filters.md)
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- [FiltersTestTypes](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/FiltersTestTypes.md)
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- [GetStreamResponse](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/GetStreamResponse.md)
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- [PutStream](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/PutStream.md)
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- [Stream](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/Stream.md)
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@ -137,6 +139,7 @@ Class | Method | HTTP request | Description
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- [TagMatchObjectType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/TagMatchObjectType.md)
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- [TestMatch](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/TestMatch.md)
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- [TestMatchDomain](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/TestMatchDomain.md)
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- [TestType](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/TestType.md)
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- [UnauthorizedError](https://github.com/thousandeyes/thousandeyes-sdk-python//tree/main/thousandeyes-sdk-streaming/docs/UnauthorizedError.md)
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@ -15,6 +15,7 @@ Name | Type | Description | Notes
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**custom_headers** | **Dict[str, str]** | Custom headers. **Note**: When using the `splunk-hec` `type`, the `customHeaders` must contain just one element with the key `token` and the value of the *Splunk HEC Token*. | [optional]
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**tag_match** | [**List[TagMatch]**](TagMatch.md) | A collection of tags that determine what tests are included in the data stream. These tag values are also included as attributes in the data stream metrics. | [optional]
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||||
**test_match** | [**List[TestMatch]**](TestMatch.md) | A collection of tests to be included in the data stream. | [optional]
|
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**filters** | [**Filters**](Filters.md) | | [optional]
|
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**exporter_config** | [**ExporterConfig**](ExporterConfig.md) | | [optional]
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||||
**audit_operation** | [**AuditOperation**](AuditOperation.md) | | [optional]
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30
thousandeyes-sdk-streaming/docs/Filters.md
Normal file
30
thousandeyes-sdk-streaming/docs/Filters.md
Normal file
@ -0,0 +1,30 @@
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# Filters
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Provides the ability to filter data points based on the specified test types.
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**test_types** | [**FiltersTestTypes**](FiltersTestTypes.md) | | [optional]
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## Example
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```python
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from thousandeyes_sdk.streaming.models.filters import Filters
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# TODO update the JSON string below
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json = "{}"
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# create an instance of Filters from a JSON string
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filters_instance = Filters.from_json(json)
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# print the JSON string representation of the object
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print(Filters.to_json())
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# convert the object into a dict
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filters_dict = filters_instance.to_dict()
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# create an instance of Filters from a dict
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filters_from_dict = Filters.from_dict(filters_dict)
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```
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[[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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30
thousandeyes-sdk-streaming/docs/FiltersTestTypes.md
Normal file
30
thousandeyes-sdk-streaming/docs/FiltersTestTypes.md
Normal file
@ -0,0 +1,30 @@
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# FiltersTestTypes
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Test types that can be used for filtering data points.
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**values** | [**List[TestType]**](TestType.md) | A list of test types to filter data points. | [optional]
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## Example
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```python
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from thousandeyes_sdk.streaming.models.filters_test_types import FiltersTestTypes
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# TODO update the JSON string below
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json = "{}"
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# create an instance of FiltersTestTypes from a JSON string
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filters_test_types_instance = FiltersTestTypes.from_json(json)
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# print the JSON string representation of the object
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print(FiltersTestTypes.to_json())
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# convert the object into a dict
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filters_test_types_dict = filters_test_types_instance.to_dict()
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# create an instance of FiltersTestTypes from a dict
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filters_test_types_from_dict = FiltersTestTypes.from_dict(filters_test_types_dict)
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```
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[[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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@ -15,6 +15,7 @@ Name | Type | Description | Notes
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**custom_headers** | **Dict[str, str]** | Custom headers. **Note**: When using the `splunk-hec` `type`, the `customHeaders` must contain just one element with the key `token` and the value of the *Splunk HEC Token*. | [optional]
|
||||
**tag_match** | [**List[TagMatch]**](TagMatch.md) | A collection of tags that determine what tests are included in the data stream. These tag values are also included as attributes in the data stream metrics. | [optional]
|
||||
**test_match** | [**List[TestMatch]**](TestMatch.md) | A collection of tests to be included in the data stream. | [optional]
|
||||
**filters** | [**Filters**](Filters.md) | | [optional]
|
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**exporter_config** | [**ExporterConfig**](ExporterConfig.md) | | [optional]
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**audit_operation** | [**AuditOperationWithUpdate**](AuditOperationWithUpdate.md) | | [optional]
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@ -9,6 +9,7 @@ Name | Type | Description | Notes
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**tag_match** | [**List[TagMatch]**](TagMatch.md) | A collection of tags that determine what tests are included in the data stream. These tag values are also included as attributes in the data stream metrics. | [optional]
|
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**test_match** | [**List[TestMatch]**](TestMatch.md) | A collection of tests to be included in the data stream. | [optional]
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**enabled** | **bool** | Flag to enable or disable the stream integration. | [optional]
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**filters** | [**Filters**](Filters.md) | | [optional]
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**exporter_config** | [**ExporterConfig**](ExporterConfig.md) | | [optional]
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## Example
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||||
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||||
@ -9,6 +9,7 @@ Name | Type | Description | Notes
|
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**tag_match** | [**List[TagMatch]**](TagMatch.md) | A collection of tags that determine what tests are included in the data stream. These tag values are also included as attributes in the data stream metrics. | [optional]
|
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**test_match** | [**List[TestMatch]**](TestMatch.md) | A collection of tests to be included in the data stream. | [optional]
|
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**enabled** | **bool** | Flag to enable or disable the stream integration. | [optional]
|
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**filters** | [**Filters**](Filters.md) | | [optional]
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**exporter_config** | [**ExporterConfig**](ExporterConfig.md) | | [optional]
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**type** | [**StreamType**](StreamType.md) | | [optional]
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**endpoint_type** | [**EndpointType**](EndpointType.md) | | [optional]
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@ -5,7 +5,6 @@
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**object_type** | [**TagMatchObjectType**](TagMatchObjectType.md) | | [optional]
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**key** | **str** | The name of the tag key to match | [optional]
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**value** | **str** | The value of the tag to match | [optional]
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12
thousandeyes-sdk-streaming/docs/TestType.md
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12
thousandeyes-sdk-streaming/docs/TestType.md
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@ -0,0 +1,12 @@
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# TestType
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This is a read only value, as test type is implicit in the test creation url.
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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||||
|
||||
[[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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@ -28,6 +28,8 @@ from thousandeyes_sdk.streaming.models.data_model_version import DataModelVersio
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from thousandeyes_sdk.streaming.models.endpoint_type import EndpointType
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from thousandeyes_sdk.streaming.models.exporter_config import ExporterConfig
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from thousandeyes_sdk.streaming.models.exporter_config_splunk_hec import ExporterConfigSplunkHec
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from thousandeyes_sdk.streaming.models.filters import Filters
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from thousandeyes_sdk.streaming.models.filters_test_types import FiltersTestTypes
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from thousandeyes_sdk.streaming.models.get_stream_response import GetStreamResponse
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from thousandeyes_sdk.streaming.models.put_stream import PutStream
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from thousandeyes_sdk.streaming.models.stream import Stream
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@ -39,4 +41,5 @@ from thousandeyes_sdk.streaming.models.tag_match import TagMatch
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from thousandeyes_sdk.streaming.models.tag_match_object_type import TagMatchObjectType
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from thousandeyes_sdk.streaming.models.test_match import TestMatch
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from thousandeyes_sdk.streaming.models.test_match_domain import TestMatchDomain
|
||||
from thousandeyes_sdk.streaming.models.test_type import TestType
|
||||
from thousandeyes_sdk.streaming.models.unauthorized_error import UnauthorizedError
|
||||
|
||||
@ -23,6 +23,8 @@ from thousandeyes_sdk.streaming.models.data_model_version import DataModelVersio
|
||||
from thousandeyes_sdk.streaming.models.endpoint_type import EndpointType
|
||||
from thousandeyes_sdk.streaming.models.exporter_config import ExporterConfig
|
||||
from thousandeyes_sdk.streaming.models.exporter_config_splunk_hec import ExporterConfigSplunkHec
|
||||
from thousandeyes_sdk.streaming.models.filters import Filters
|
||||
from thousandeyes_sdk.streaming.models.filters_test_types import FiltersTestTypes
|
||||
from thousandeyes_sdk.streaming.models.get_stream_response import GetStreamResponse
|
||||
from thousandeyes_sdk.streaming.models.put_stream import PutStream
|
||||
from thousandeyes_sdk.streaming.models.stream import Stream
|
||||
@ -34,4 +36,5 @@ from thousandeyes_sdk.streaming.models.tag_match import TagMatch
|
||||
from thousandeyes_sdk.streaming.models.tag_match_object_type import TagMatchObjectType
|
||||
from thousandeyes_sdk.streaming.models.test_match import TestMatch
|
||||
from thousandeyes_sdk.streaming.models.test_match_domain import TestMatchDomain
|
||||
from thousandeyes_sdk.streaming.models.test_type import TestType
|
||||
from thousandeyes_sdk.streaming.models.unauthorized_error import UnauthorizedError
|
||||
|
||||
@ -22,6 +22,7 @@ from thousandeyes_sdk.streaming.models.audit_operation import AuditOperation
|
||||
from thousandeyes_sdk.streaming.models.data_model_version import DataModelVersion
|
||||
from thousandeyes_sdk.streaming.models.endpoint_type import EndpointType
|
||||
from thousandeyes_sdk.streaming.models.exporter_config import ExporterConfig
|
||||
from thousandeyes_sdk.streaming.models.filters import Filters
|
||||
from thousandeyes_sdk.streaming.models.stream_links import StreamLinks
|
||||
from thousandeyes_sdk.streaming.models.stream_type import StreamType
|
||||
from thousandeyes_sdk.streaming.models.tag_match import TagMatch
|
||||
@ -43,9 +44,10 @@ class CreateStreamResponse(BaseModel):
|
||||
custom_headers: Optional[Dict[str, StrictStr]] = Field(default=None, description="Custom headers. **Note**: When using the `splunk-hec` `type`, the `customHeaders` must contain just one element with the key `token` and the value of the *Splunk HEC Token*.", alias="customHeaders")
|
||||
tag_match: Optional[List[TagMatch]] = Field(default=None, description="A collection of tags that determine what tests are included in the data stream. These tag values are also included as attributes in the data stream metrics.", alias="tagMatch")
|
||||
test_match: Optional[List[TestMatch]] = Field(default=None, description="A collection of tests to be included in the data stream.", alias="testMatch")
|
||||
filters: Optional[Filters] = None
|
||||
exporter_config: Optional[ExporterConfig] = Field(default=None, alias="exporterConfig")
|
||||
audit_operation: Optional[AuditOperation] = Field(default=None, alias="auditOperation")
|
||||
__properties: ClassVar[List[str]] = ["id", "enabled", "_links", "type", "endpointType", "streamEndpointUrl", "dataModelVersion", "customHeaders", "tagMatch", "testMatch", "exporterConfig", "auditOperation"]
|
||||
__properties: ClassVar[List[str]] = ["id", "enabled", "_links", "type", "endpointType", "streamEndpointUrl", "dataModelVersion", "customHeaders", "tagMatch", "testMatch", "filters", "exporterConfig", "auditOperation"]
|
||||
|
||||
model_config = ConfigDict(
|
||||
populate_by_name=True,
|
||||
@ -106,6 +108,9 @@ class CreateStreamResponse(BaseModel):
|
||||
if _item:
|
||||
_items.append(_item.to_dict())
|
||||
_dict['testMatch'] = _items
|
||||
# override the default output from pydantic by calling `to_dict()` of filters
|
||||
if self.filters:
|
||||
_dict['filters'] = self.filters.to_dict()
|
||||
# override the default output from pydantic by calling `to_dict()` of exporter_config
|
||||
if self.exporter_config:
|
||||
_dict['exporterConfig'] = self.exporter_config.to_dict()
|
||||
@ -134,6 +139,7 @@ class CreateStreamResponse(BaseModel):
|
||||
"customHeaders": obj.get("customHeaders"),
|
||||
"tagMatch": [TagMatch.from_dict(_item) for _item in obj["tagMatch"]] if obj.get("tagMatch") is not None else None,
|
||||
"testMatch": [TestMatch.from_dict(_item) for _item in obj["testMatch"]] if obj.get("testMatch") is not None else None,
|
||||
"filters": Filters.from_dict(obj["filters"]) if obj.get("filters") is not None else None,
|
||||
"exporterConfig": ExporterConfig.from_dict(obj["exporterConfig"]) if obj.get("exporterConfig") is not None else None,
|
||||
"auditOperation": AuditOperation.from_dict(obj["auditOperation"]) if obj.get("auditOperation") is not None else None
|
||||
})
|
||||
|
||||
@ -0,0 +1,91 @@
|
||||
# coding: utf-8
|
||||
|
||||
"""
|
||||
ThousandEyes for OpenTelemetry API
|
||||
|
||||
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 [documentation](https://docs.thousandeyes.com/product-documentation/api/opentelemetry).
|
||||
|
||||
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.streaming.models.filters_test_types import FiltersTestTypes
|
||||
from typing import Optional, Set
|
||||
from typing_extensions import Self
|
||||
|
||||
class Filters(BaseModel):
|
||||
"""
|
||||
Provides the ability to filter data points based on the specified test types.
|
||||
""" # noqa: E501
|
||||
test_types: Optional[FiltersTestTypes] = Field(default=None, alias="testTypes")
|
||||
__properties: ClassVar[List[str]] = ["testTypes"]
|
||||
|
||||
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 Filters 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 test_types
|
||||
if self.test_types:
|
||||
_dict['testTypes'] = self.test_types.to_dict()
|
||||
return _dict
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
|
||||
"""Create an instance of Filters from a dict"""
|
||||
if obj is None:
|
||||
return None
|
||||
|
||||
if not isinstance(obj, dict):
|
||||
return cls.model_validate(obj)
|
||||
|
||||
_obj = cls.model_validate({
|
||||
"testTypes": FiltersTestTypes.from_dict(obj["testTypes"]) if obj.get("testTypes") is not None else None
|
||||
})
|
||||
return _obj
|
||||
|
||||
|
||||
@ -0,0 +1,88 @@
|
||||
# coding: utf-8
|
||||
|
||||
"""
|
||||
ThousandEyes for OpenTelemetry API
|
||||
|
||||
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 [documentation](https://docs.thousandeyes.com/product-documentation/api/opentelemetry).
|
||||
|
||||
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.streaming.models.test_type import TestType
|
||||
from typing import Optional, Set
|
||||
from typing_extensions import Self
|
||||
|
||||
class FiltersTestTypes(BaseModel):
|
||||
"""
|
||||
Test types that can be used for filtering data points.
|
||||
""" # noqa: E501
|
||||
values: Optional[List[TestType]] = Field(default=None, description="A list of test types to filter data points.")
|
||||
__properties: ClassVar[List[str]] = ["values"]
|
||||
|
||||
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 FiltersTestTypes 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 FiltersTestTypes from a dict"""
|
||||
if obj is None:
|
||||
return None
|
||||
|
||||
if not isinstance(obj, dict):
|
||||
return cls.model_validate(obj)
|
||||
|
||||
_obj = cls.model_validate({
|
||||
"values": obj.get("values")
|
||||
})
|
||||
return _obj
|
||||
|
||||
|
||||
@ -22,6 +22,7 @@ from thousandeyes_sdk.streaming.models.audit_operation_with_update import AuditO
|
||||
from thousandeyes_sdk.streaming.models.data_model_version import DataModelVersion
|
||||
from thousandeyes_sdk.streaming.models.endpoint_type import EndpointType
|
||||
from thousandeyes_sdk.streaming.models.exporter_config import ExporterConfig
|
||||
from thousandeyes_sdk.streaming.models.filters import Filters
|
||||
from thousandeyes_sdk.streaming.models.stream_links import StreamLinks
|
||||
from thousandeyes_sdk.streaming.models.stream_type import StreamType
|
||||
from thousandeyes_sdk.streaming.models.tag_match import TagMatch
|
||||
@ -43,9 +44,10 @@ class GetStreamResponse(BaseModel):
|
||||
custom_headers: Optional[Dict[str, StrictStr]] = Field(default=None, description="Custom headers. **Note**: When using the `splunk-hec` `type`, the `customHeaders` must contain just one element with the key `token` and the value of the *Splunk HEC Token*.", alias="customHeaders")
|
||||
tag_match: Optional[List[TagMatch]] = Field(default=None, description="A collection of tags that determine what tests are included in the data stream. These tag values are also included as attributes in the data stream metrics.", alias="tagMatch")
|
||||
test_match: Optional[List[TestMatch]] = Field(default=None, description="A collection of tests to be included in the data stream.", alias="testMatch")
|
||||
filters: Optional[Filters] = None
|
||||
exporter_config: Optional[ExporterConfig] = Field(default=None, alias="exporterConfig")
|
||||
audit_operation: Optional[AuditOperationWithUpdate] = Field(default=None, alias="auditOperation")
|
||||
__properties: ClassVar[List[str]] = ["id", "enabled", "_links", "type", "endpointType", "streamEndpointUrl", "dataModelVersion", "customHeaders", "tagMatch", "testMatch", "exporterConfig", "auditOperation"]
|
||||
__properties: ClassVar[List[str]] = ["id", "enabled", "_links", "type", "endpointType", "streamEndpointUrl", "dataModelVersion", "customHeaders", "tagMatch", "testMatch", "filters", "exporterConfig", "auditOperation"]
|
||||
|
||||
model_config = ConfigDict(
|
||||
populate_by_name=True,
|
||||
@ -106,6 +108,9 @@ class GetStreamResponse(BaseModel):
|
||||
if _item:
|
||||
_items.append(_item.to_dict())
|
||||
_dict['testMatch'] = _items
|
||||
# override the default output from pydantic by calling `to_dict()` of filters
|
||||
if self.filters:
|
||||
_dict['filters'] = self.filters.to_dict()
|
||||
# override the default output from pydantic by calling `to_dict()` of exporter_config
|
||||
if self.exporter_config:
|
||||
_dict['exporterConfig'] = self.exporter_config.to_dict()
|
||||
@ -134,6 +139,7 @@ class GetStreamResponse(BaseModel):
|
||||
"customHeaders": obj.get("customHeaders"),
|
||||
"tagMatch": [TagMatch.from_dict(_item) for _item in obj["tagMatch"]] if obj.get("tagMatch") is not None else None,
|
||||
"testMatch": [TestMatch.from_dict(_item) for _item in obj["testMatch"]] if obj.get("testMatch") is not None else None,
|
||||
"filters": Filters.from_dict(obj["filters"]) if obj.get("filters") is not None else None,
|
||||
"exporterConfig": ExporterConfig.from_dict(obj["exporterConfig"]) if obj.get("exporterConfig") is not None else None,
|
||||
"auditOperation": AuditOperationWithUpdate.from_dict(obj["auditOperation"]) if obj.get("auditOperation") is not None else None
|
||||
})
|
||||
|
||||
@ -19,6 +19,7 @@ import json
|
||||
from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictStr
|
||||
from typing import Any, ClassVar, Dict, List, Optional
|
||||
from thousandeyes_sdk.streaming.models.exporter_config import ExporterConfig
|
||||
from thousandeyes_sdk.streaming.models.filters import Filters
|
||||
from thousandeyes_sdk.streaming.models.tag_match import TagMatch
|
||||
from thousandeyes_sdk.streaming.models.test_match import TestMatch
|
||||
from typing import Optional, Set
|
||||
@ -32,8 +33,9 @@ class PutStream(BaseModel):
|
||||
tag_match: Optional[List[TagMatch]] = Field(default=None, description="A collection of tags that determine what tests are included in the data stream. These tag values are also included as attributes in the data stream metrics.", alias="tagMatch")
|
||||
test_match: Optional[List[TestMatch]] = Field(default=None, description="A collection of tests to be included in the data stream.", alias="testMatch")
|
||||
enabled: Optional[StrictBool] = Field(default=None, description="Flag to enable or disable the stream integration.")
|
||||
filters: Optional[Filters] = None
|
||||
exporter_config: Optional[ExporterConfig] = Field(default=None, alias="exporterConfig")
|
||||
__properties: ClassVar[List[str]] = ["customHeaders", "tagMatch", "testMatch", "enabled", "exporterConfig"]
|
||||
__properties: ClassVar[List[str]] = ["customHeaders", "tagMatch", "testMatch", "enabled", "filters", "exporterConfig"]
|
||||
|
||||
model_config = ConfigDict(
|
||||
populate_by_name=True,
|
||||
@ -89,6 +91,9 @@ class PutStream(BaseModel):
|
||||
if _item:
|
||||
_items.append(_item.to_dict())
|
||||
_dict['testMatch'] = _items
|
||||
# override the default output from pydantic by calling `to_dict()` of filters
|
||||
if self.filters:
|
||||
_dict['filters'] = self.filters.to_dict()
|
||||
# override the default output from pydantic by calling `to_dict()` of exporter_config
|
||||
if self.exporter_config:
|
||||
_dict['exporterConfig'] = self.exporter_config.to_dict()
|
||||
@ -108,6 +113,7 @@ class PutStream(BaseModel):
|
||||
"tagMatch": [TagMatch.from_dict(_item) for _item in obj["tagMatch"]] if obj.get("tagMatch") is not None else None,
|
||||
"testMatch": [TestMatch.from_dict(_item) for _item in obj["testMatch"]] if obj.get("testMatch") is not None else None,
|
||||
"enabled": obj.get("enabled"),
|
||||
"filters": Filters.from_dict(obj["filters"]) if obj.get("filters") is not None else None,
|
||||
"exporterConfig": ExporterConfig.from_dict(obj["exporterConfig"]) if obj.get("exporterConfig") is not None else None
|
||||
})
|
||||
return _obj
|
||||
|
||||
@ -21,6 +21,7 @@ from typing import Any, ClassVar, Dict, List, Optional
|
||||
from thousandeyes_sdk.streaming.models.data_model_version import DataModelVersion
|
||||
from thousandeyes_sdk.streaming.models.endpoint_type import EndpointType
|
||||
from thousandeyes_sdk.streaming.models.exporter_config import ExporterConfig
|
||||
from thousandeyes_sdk.streaming.models.filters import Filters
|
||||
from thousandeyes_sdk.streaming.models.stream_type import StreamType
|
||||
from thousandeyes_sdk.streaming.models.tag_match import TagMatch
|
||||
from thousandeyes_sdk.streaming.models.test_match import TestMatch
|
||||
@ -35,12 +36,13 @@ class Stream(BaseModel):
|
||||
tag_match: Optional[List[TagMatch]] = Field(default=None, description="A collection of tags that determine what tests are included in the data stream. These tag values are also included as attributes in the data stream metrics.", alias="tagMatch")
|
||||
test_match: Optional[List[TestMatch]] = Field(default=None, description="A collection of tests to be included in the data stream.", alias="testMatch")
|
||||
enabled: Optional[StrictBool] = Field(default=None, description="Flag to enable or disable the stream integration.")
|
||||
filters: Optional[Filters] = None
|
||||
exporter_config: Optional[ExporterConfig] = Field(default=None, alias="exporterConfig")
|
||||
type: Optional[StreamType] = None
|
||||
endpoint_type: Optional[EndpointType] = Field(default=None, alias="endpointType")
|
||||
stream_endpoint_url: Optional[StrictStr] = Field(default=None, description="The URL ThousandEyes sends data stream to. For a URL to be valid, it needs to: - Be syntactically correct. - Be reachable. - Use the HTTPS protocol. - When using the `grpc` endpointType, streamEndpointUrl cannot contain paths: - Valid . `grpc` - `https://example.com` - Invalid . `grpc` - `https://example.com/collector`. - Valid . `http` - `https://example.com/collector`. - When using the `http` endpointType, the operation must match the exact final full URL (including the path if there is one) to which the metrics will be sent. Examples below: - `https://api.honeycomb.io:443/v1/metrics` - `https://ingest.eu0.signalfx.com/v2/datapoint/otlp`", alias="streamEndpointUrl")
|
||||
data_model_version: Optional[DataModelVersion] = Field(default=None, alias="dataModelVersion")
|
||||
__properties: ClassVar[List[str]] = ["customHeaders", "tagMatch", "testMatch", "enabled", "exporterConfig", "type", "endpointType", "streamEndpointUrl", "dataModelVersion"]
|
||||
__properties: ClassVar[List[str]] = ["customHeaders", "tagMatch", "testMatch", "enabled", "filters", "exporterConfig", "type", "endpointType", "streamEndpointUrl", "dataModelVersion"]
|
||||
|
||||
model_config = ConfigDict(
|
||||
populate_by_name=True,
|
||||
@ -96,6 +98,9 @@ class Stream(BaseModel):
|
||||
if _item:
|
||||
_items.append(_item.to_dict())
|
||||
_dict['testMatch'] = _items
|
||||
# override the default output from pydantic by calling `to_dict()` of filters
|
||||
if self.filters:
|
||||
_dict['filters'] = self.filters.to_dict()
|
||||
# override the default output from pydantic by calling `to_dict()` of exporter_config
|
||||
if self.exporter_config:
|
||||
_dict['exporterConfig'] = self.exporter_config.to_dict()
|
||||
@ -115,6 +120,7 @@ class Stream(BaseModel):
|
||||
"tagMatch": [TagMatch.from_dict(_item) for _item in obj["tagMatch"]] if obj.get("tagMatch") is not None else None,
|
||||
"testMatch": [TestMatch.from_dict(_item) for _item in obj["testMatch"]] if obj.get("testMatch") is not None else None,
|
||||
"enabled": obj.get("enabled"),
|
||||
"filters": Filters.from_dict(obj["filters"]) if obj.get("filters") is not None else None,
|
||||
"exporterConfig": ExporterConfig.from_dict(obj["exporterConfig"]) if obj.get("exporterConfig") is not None else None,
|
||||
"type": obj.get("type"),
|
||||
"endpointType": obj.get("endpointType"),
|
||||
|
||||
@ -18,7 +18,6 @@ import json
|
||||
|
||||
from pydantic import BaseModel, ConfigDict, Field, StrictStr
|
||||
from typing import Any, ClassVar, Dict, List, Optional
|
||||
from thousandeyes_sdk.streaming.models.tag_match_object_type import TagMatchObjectType
|
||||
from typing import Optional, Set
|
||||
from typing_extensions import Self
|
||||
|
||||
@ -26,10 +25,9 @@ class TagMatch(BaseModel):
|
||||
"""
|
||||
TagMatch
|
||||
""" # noqa: E501
|
||||
object_type: Optional[TagMatchObjectType] = Field(default=None, alias="objectType")
|
||||
key: Optional[StrictStr] = Field(default=None, description="The name of the tag key to match")
|
||||
value: Optional[StrictStr] = Field(default=None, description="The value of the tag to match")
|
||||
__properties: ClassVar[List[str]] = ["objectType", "key", "value"]
|
||||
__properties: ClassVar[List[str]] = ["key", "value"]
|
||||
|
||||
model_config = ConfigDict(
|
||||
populate_by_name=True,
|
||||
@ -83,7 +81,6 @@ class TagMatch(BaseModel):
|
||||
return cls.model_validate(obj)
|
||||
|
||||
_obj = cls.model_validate({
|
||||
"objectType": obj.get("objectType"),
|
||||
"key": obj.get("key"),
|
||||
"value": obj.get("value")
|
||||
})
|
||||
|
||||
@ -0,0 +1,52 @@
|
||||
# coding: utf-8
|
||||
|
||||
"""
|
||||
ThousandEyes for OpenTelemetry API
|
||||
|
||||
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 [documentation](https://docs.thousandeyes.com/product-documentation/api/opentelemetry).
|
||||
|
||||
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 TestType(str, Enum):
|
||||
"""
|
||||
This is a read only value, as test type is implicit in the test creation url.
|
||||
"""
|
||||
|
||||
"""
|
||||
allowed enum values
|
||||
"""
|
||||
API = 'api'
|
||||
AGENT_MINUS_TO_MINUS_AGENT = 'agent-to-agent'
|
||||
AGENT_MINUS_TO_MINUS_SERVER = 'agent-to-server'
|
||||
BGP = 'bgp'
|
||||
HTTP_MINUS_SERVER = 'http-server'
|
||||
PAGE_MINUS_LOAD = 'page-load'
|
||||
WEB_MINUS_TRANSACTIONS = 'web-transactions'
|
||||
FTP_MINUS_SERVER = 'ftp-server'
|
||||
DNS_MINUS_TRACE = 'dns-trace'
|
||||
DNS_MINUS_SERVER = 'dns-server'
|
||||
DNSSEC = 'dnssec'
|
||||
SIP_MINUS_SERVER = 'sip-server'
|
||||
VOICE = 'voice'
|
||||
UNKNOWN = 'unknown'
|
||||
|
||||
@classmethod
|
||||
def from_json(cls, json_str: str) -> Self:
|
||||
"""Create an instance of TestType from a JSON string"""
|
||||
return cls(json.loads(json_str))
|
||||
|
||||
@classmethod
|
||||
def _missing_(cls, value):
|
||||
"""Handle unknown values"""
|
||||
return cls.UNKNOWN
|
||||
|
||||
@ -56,6 +56,11 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"key" : "keyB",
|
||||
"value" : "valueB"
|
||||
} ],
|
||||
"filters" : {
|
||||
"testTypes" : {
|
||||
"values" : [ "agent-to-server", "bgp", "http-server" ]
|
||||
}
|
||||
},
|
||||
"type" : "opentelemetry",
|
||||
"dataModelVersion" : "v2",
|
||||
"customHeaders" : {
|
||||
@ -71,13 +76,6 @@ class TestStreamingApi(unittest.TestCase):
|
||||
|
||||
response_body_json = """
|
||||
{
|
||||
"testMatch" : [ {
|
||||
"id" : "1234",
|
||||
"domain" : "cea"
|
||||
}, {
|
||||
"id" : "5678",
|
||||
"domain" : "endpoint"
|
||||
} ],
|
||||
"endpointType" : "grpc",
|
||||
"_links" : {
|
||||
"self" : {
|
||||
@ -93,6 +91,21 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"token" : "d0a91307-be2f-4218-a9f8-71c02d98846b"
|
||||
}
|
||||
},
|
||||
"filters" : {
|
||||
"testTypes" : {
|
||||
"values" : [ "agent-to-server", "bgp", "http-server" ]
|
||||
}
|
||||
},
|
||||
"type" : "opentelemetry",
|
||||
"enabled" : true,
|
||||
"dataModelVersion" : "v2",
|
||||
"testMatch" : [ {
|
||||
"id" : "1234",
|
||||
"domain" : "cea"
|
||||
}, {
|
||||
"id" : "5678",
|
||||
"domain" : "endpoint"
|
||||
} ],
|
||||
"tagMatch" : [ {
|
||||
"key" : "keyA",
|
||||
"value" : "valueA"
|
||||
@ -101,13 +114,10 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"value" : "valueB"
|
||||
} ],
|
||||
"id" : "342ieu09",
|
||||
"type" : "opentelemetry",
|
||||
"auditOperation" : {
|
||||
"createdDate" : 1679677853573,
|
||||
"createdBy" : 3962
|
||||
},
|
||||
"enabled" : true,
|
||||
"dataModelVersion" : "v2",
|
||||
"customHeaders" : {
|
||||
"Authorization" : "*****",
|
||||
"Content-Type" : "*****"
|
||||
@ -127,13 +137,6 @@ class TestStreamingApi(unittest.TestCase):
|
||||
|
||||
response_body_json = """
|
||||
{
|
||||
"testMatch" : [ {
|
||||
"id" : "1234",
|
||||
"domain" : "cea"
|
||||
}, {
|
||||
"id" : "5678",
|
||||
"domain" : "endpoint"
|
||||
} ],
|
||||
"endpointType" : "grpc",
|
||||
"_links" : {
|
||||
"self" : {
|
||||
@ -149,6 +152,21 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"token" : "d0a91307-be2f-4218-a9f8-71c02d98846b"
|
||||
}
|
||||
},
|
||||
"filters" : {
|
||||
"testTypes" : {
|
||||
"values" : [ "agent-to-server", "bgp", "http-server" ]
|
||||
}
|
||||
},
|
||||
"type" : "opentelemetry",
|
||||
"enabled" : true,
|
||||
"dataModelVersion" : "v2",
|
||||
"testMatch" : [ {
|
||||
"id" : "1234",
|
||||
"domain" : "cea"
|
||||
}, {
|
||||
"id" : "5678",
|
||||
"domain" : "endpoint"
|
||||
} ],
|
||||
"tagMatch" : [ {
|
||||
"key" : "keyA",
|
||||
"value" : "valueA"
|
||||
@ -157,15 +175,12 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"value" : "valueB"
|
||||
} ],
|
||||
"id" : "342ieu09",
|
||||
"type" : "opentelemetry",
|
||||
"auditOperation" : {
|
||||
"createdDate" : 1679677853573,
|
||||
"updatedBy" : 3962,
|
||||
"createdBy" : 3962,
|
||||
"updatedDate" : 1679677853573
|
||||
},
|
||||
"enabled" : true,
|
||||
"dataModelVersion" : "v2",
|
||||
"customHeaders" : {
|
||||
"Authorization" : "*****",
|
||||
"Content-Type" : "*****"
|
||||
@ -181,13 +196,6 @@ class TestStreamingApi(unittest.TestCase):
|
||||
|
||||
response_body_json = """
|
||||
[ {
|
||||
"testMatch" : [ {
|
||||
"id" : "1234",
|
||||
"domain" : "cea"
|
||||
}, {
|
||||
"id" : "5678",
|
||||
"domain" : "endpoint"
|
||||
} ],
|
||||
"endpointType" : "grpc",
|
||||
"_links" : {
|
||||
"self" : {
|
||||
@ -203,6 +211,21 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"token" : "d0a91307-be2f-4218-a9f8-71c02d98846b"
|
||||
}
|
||||
},
|
||||
"filters" : {
|
||||
"testTypes" : {
|
||||
"values" : [ "agent-to-server", "bgp", "http-server" ]
|
||||
}
|
||||
},
|
||||
"type" : "opentelemetry",
|
||||
"enabled" : true,
|
||||
"dataModelVersion" : "v2",
|
||||
"testMatch" : [ {
|
||||
"id" : "1234",
|
||||
"domain" : "cea"
|
||||
}, {
|
||||
"id" : "5678",
|
||||
"domain" : "endpoint"
|
||||
} ],
|
||||
"tagMatch" : [ {
|
||||
"key" : "keyA",
|
||||
"value" : "valueA"
|
||||
@ -211,27 +234,17 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"value" : "valueB"
|
||||
} ],
|
||||
"id" : "342ieu09",
|
||||
"type" : "opentelemetry",
|
||||
"auditOperation" : {
|
||||
"createdDate" : 1679677853573,
|
||||
"updatedBy" : 3962,
|
||||
"createdBy" : 3962,
|
||||
"updatedDate" : 1679677853573
|
||||
},
|
||||
"enabled" : true,
|
||||
"dataModelVersion" : "v2",
|
||||
"customHeaders" : {
|
||||
"Authorization" : "*****",
|
||||
"Content-Type" : "*****"
|
||||
}
|
||||
}, {
|
||||
"testMatch" : [ {
|
||||
"id" : "1234",
|
||||
"domain" : "cea"
|
||||
}, {
|
||||
"id" : "5678",
|
||||
"domain" : "endpoint"
|
||||
} ],
|
||||
"endpointType" : "grpc",
|
||||
"_links" : {
|
||||
"self" : {
|
||||
@ -247,6 +260,21 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"token" : "d0a91307-be2f-4218-a9f8-71c02d98846b"
|
||||
}
|
||||
},
|
||||
"filters" : {
|
||||
"testTypes" : {
|
||||
"values" : [ "agent-to-server", "bgp", "http-server" ]
|
||||
}
|
||||
},
|
||||
"type" : "opentelemetry",
|
||||
"enabled" : true,
|
||||
"dataModelVersion" : "v2",
|
||||
"testMatch" : [ {
|
||||
"id" : "1234",
|
||||
"domain" : "cea"
|
||||
}, {
|
||||
"id" : "5678",
|
||||
"domain" : "endpoint"
|
||||
} ],
|
||||
"tagMatch" : [ {
|
||||
"key" : "keyA",
|
||||
"value" : "valueA"
|
||||
@ -255,15 +283,12 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"value" : "valueB"
|
||||
} ],
|
||||
"id" : "342ieu09",
|
||||
"type" : "opentelemetry",
|
||||
"auditOperation" : {
|
||||
"createdDate" : 1679677853573,
|
||||
"updatedBy" : 3962,
|
||||
"createdBy" : 3962,
|
||||
"updatedDate" : 1679677853573
|
||||
},
|
||||
"enabled" : true,
|
||||
"dataModelVersion" : "v2",
|
||||
"customHeaders" : {
|
||||
"Authorization" : "*****",
|
||||
"Content-Type" : "*****"
|
||||
@ -303,6 +328,11 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"key" : "keyB",
|
||||
"value" : "valueB"
|
||||
} ],
|
||||
"filters" : {
|
||||
"testTypes" : {
|
||||
"values" : [ "agent-to-server", "bgp", "http-server" ]
|
||||
}
|
||||
},
|
||||
"customHeaders" : {
|
||||
"Authorization" : "*****",
|
||||
"Content-Type" : "*****"
|
||||
@ -316,13 +346,6 @@ class TestStreamingApi(unittest.TestCase):
|
||||
|
||||
response_body_json = """
|
||||
{
|
||||
"testMatch" : [ {
|
||||
"id" : "1234",
|
||||
"domain" : "cea"
|
||||
}, {
|
||||
"id" : "5678",
|
||||
"domain" : "endpoint"
|
||||
} ],
|
||||
"endpointType" : "grpc",
|
||||
"_links" : {
|
||||
"self" : {
|
||||
@ -338,6 +361,21 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"token" : "d0a91307-be2f-4218-a9f8-71c02d98846b"
|
||||
}
|
||||
},
|
||||
"filters" : {
|
||||
"testTypes" : {
|
||||
"values" : [ "agent-to-server", "bgp", "http-server" ]
|
||||
}
|
||||
},
|
||||
"type" : "opentelemetry",
|
||||
"enabled" : true,
|
||||
"dataModelVersion" : "v2",
|
||||
"testMatch" : [ {
|
||||
"id" : "1234",
|
||||
"domain" : "cea"
|
||||
}, {
|
||||
"id" : "5678",
|
||||
"domain" : "endpoint"
|
||||
} ],
|
||||
"tagMatch" : [ {
|
||||
"key" : "keyA",
|
||||
"value" : "valueA"
|
||||
@ -346,15 +384,12 @@ class TestStreamingApi(unittest.TestCase):
|
||||
"value" : "valueB"
|
||||
} ],
|
||||
"id" : "342ieu09",
|
||||
"type" : "opentelemetry",
|
||||
"auditOperation" : {
|
||||
"createdDate" : 1679677853573,
|
||||
"updatedBy" : 3962,
|
||||
"createdBy" : 3962,
|
||||
"updatedDate" : 1679677853573
|
||||
},
|
||||
"enabled" : true,
|
||||
"dataModelVersion" : "v2",
|
||||
"customHeaders" : {
|
||||
"Authorization" : "*****",
|
||||
"Content-Type" : "*****"
|
||||
|
||||
@ -16,7 +16,7 @@ Things to note with the ThousandEyes Tags API:
|
||||
|
||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
|
||||
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
|
||||
|
||||
|
||||
@ -3,7 +3,7 @@ Get test result metrics for Cloud and Enterprise Agent tests.
|
||||
|
||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
|
||||
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
|
||||
|
||||
|
||||
@ -4,7 +4,7 @@ This API supports listing, creating, editing, and deleting Cloud and Enterprise
|
||||
|
||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
|
||||
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
|
||||
|
||||
|
||||
@ -17,7 +17,7 @@ Refer to the Usage API operations for detailed usage instructions and optional p
|
||||
|
||||
This Python package is automatically generated by the [OpenAPI Generator](https://openapi-generator.tech) project:
|
||||
|
||||
- API version: 7.0.20
|
||||
- API version: 7.0.21
|
||||
- Generator version: 7.6.0
|
||||
- Build package: com.thousandeyes.api.codegen.ThousandeyesPythonGenerator
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user