automatic import of python-datadog-api-client

3 files changed, 597 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..0ffd5b6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/datadog-api-client-2.11.0.tar.gz
diff --git a/python-datadog-api-client.spec b/python-datadog-api-client.spec
new file mode 100644
index 0000000..0d03dca
--- /dev/null
+++ b/python-datadog-api-client.spec
@@ -0,0 +1,595 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-datadog-api-client
+Version:	2.11.0
+Release:	1
+Summary:	Collection of all Datadog Public endpoints
+License:	BSD
+URL:		https://github.com/DataDog/datadog-api-client-python
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/4e/fd/dc494ea12f5b1080b83c80f197ec5b7811769ed9e3b6a233bb121534ee65/datadog-api-client-2.11.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-urllib3
+Requires:	python3-certifi
+Requires:	python3-dateutil
+Requires:	python3-typing-extensions
+Requires:	python3-ddtrace
+Requires:	python3-aiosonic
+Requires:	python3-aiosonic
+Requires:	python3-glom
+Requires:	python3-jinja2
+Requires:	python3-pytest
+Requires:	python3-pytest-bdd
+Requires:	python3-pytest-asyncio
+Requires:	python3-pytest-randomly
+Requires:	python3-pytest-recording
+Requires:	python3-dateutil
+Requires:	python3-mypy
+Requires:	python3-types-python-dateutil
+Requires:	python3-zstandard
+Requires:	python3-zstandard
+
+%description
+# datadog-api-client-python
+
+This repository contains a Python API client for the [Datadog API](https://docs.datadoghq.com/api/).
+
+## Requirements
+
+Building and using the API client library requires [Python 3.7+](https://www.python.org/downloads/).
+
+## Installation
+
+To install the API client library, simply execute:
+
+```shell
+pip install datadog-api-client
+```
+
+## Getting Started
+
+Please follow the [installation](#installation) instruction and execute the following Python code:
+
+```python
+from datadog_api_client import ApiClient, Configuration
+from datadog_api_client.v1.api.monitors_api import MonitorsApi
+from datadog_api_client.v1.model.monitor import Monitor
+from datadog_api_client.v1.model.monitor_type import MonitorType
+
+body = Monitor(
+    name="example",
+    type=MonitorType("log alert"),
+    query='logs("service:foo AND type:error").index("main").rollup("count").by("source").last("5m") > 2',
+    message="some message Notify: @hipchat-channel",
+    tags=["test:example", "env:ci"],
+    priority=3,
+)
+
+configuration = Configuration()
+with ApiClient(configuration) as api_client:
+    api_instance = MonitorsApi(api_client)
+    response = api_instance.create_monitor(body=body)
+    print(response)
+```
+
+### Authentication
+
+By default the library will use the `DD_API_KEY` and `DD_APP_KEY` environment variables to authenticate against the Datadog API.
+To provide your own set of credentials, you need to set some keys on the configuration:
+
+```python
+configuration.api_key["apiKeyAuth"] = "<API KEY>"
+configuration.api_key["appKeyAuth"] = "<APPLICATION KEY>"
+```
+
+### Unstable Endpoints
+
+This client includes access to Datadog API endpoints while they are in an unstable state and may undergo breaking changes. An extra configuration step is required to enable these endpoints:
+
+```python
+configuration.unstable_operations["<OperationName>"] = True
+```
+
+where `<OperationName>` is the name of the method used to interact with that endpoint. For example: `list_log_indexes`, or `get_logs_index`
+
+### Changing Server
+
+When talking to a different server, like the `eu` instance, change the `server_variables` on your configuration object:
+
+```python
+configuration.server_variables["site"] = "datadoghq.eu"
+```
+
+### Disable compressed payloads
+
+If you want to disable GZIP compressed responses, set the `compress` flag
+on your configuration object:
+
+```python
+configuration.compress = False
+```
+
+### Enable requests logging
+
+If you want to enable requests logging, set the `debug` flag on your configuration object:
+
+```python
+configuration.debug = True
+```
+
+### Configure proxy
+
+You can configure the client to use proxy by setting the `proxy` key on configuration object:
+
+```python
+configuration.proxy = "http://127.0.0.1:80"
+```
+
+### Threads support
+
+You can run API calls in a thread by using `ThreadedApiClient` in place of `ApiClient`. API calls will then
+return a `AsyncResult` instance on which you can call get to retrieve the result:
+
+```python
+from datadog_api_client import Configuration, ThreadedApiClient
+from datadog_api_client.v1.api.dashboards_api import DashboardsApi
+
+configuration = Configuration()
+with ThreadedApiClient(configuration) as api_client:
+    api_instance = DashboardsApi(api_client)
+    result = api_instance.list_dashboards()
+    dashboards = result.get()
+    print(dashboards)
+```
+
+### Asyncio support
+
+The library supports asynchronous operations when using `AsyncApiClient` for the transport. When that client is used,
+the API methods will then return coroutines that you can wait for.
+
+To make async support available, you need to install the extra `async` qualifiers during installation: `pip install datadog-api-client[async]`.
+
+```python
+import asyncio
+
+from datadog_api_client import Configuration, AsyncApiClient
+from datadog_api_client.v1.api.dashboards_api import DashboardsApi
+
+async def main():
+    configuration = Configuration()
+    async with AsyncApiClient(configuration) as api_client:
+        api_instance = DashboardsApi(api_client)
+        dashboards = await api_instance.list_dashboards()
+        print(dashboards)
+
+asyncio.run(main())
+```
+
+### Pagination
+
+Several listing operations have a pagination method to help consume all the items available.
+For example, to retrieve all your incidents:
+
+```python
+from datadog_api_client import ApiClient, Configuration
+from datadog_api_client.v2.api.incidents_api import IncidentsApi
+
+configuration = Configuration()
+configuration.unstable_operations["list_incidents"] = True
+with ApiClient(configuration) as api_client:
+    api_instance = IncidentsApi(api_client)
+    for incident in api_instance.list_incidents_with_pagination():
+        print(incident.id)
+```
+
+## Documentation for API Endpoints and Models
+
+Documentation for API endpoints and models are available on [readthedocs](https://datadog-api-client.readthedocs.io/).
+
+## Documentation for Authorization
+
+Authenticate with the API by providing your API and Application keys in the configuration:
+
+```python
+configuration.api_key["apiKeyAuth"] = "YOUR_API_KEY"
+configuration.api_key["appKeyAuth"] = "YOUR_APPLICATION_KEY"
+```
+
+## Author
+
+support@datadoghq.com
+
+
+%package -n python3-datadog-api-client
+Summary:	Collection of all Datadog Public endpoints
+Provides:	python-datadog-api-client
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-datadog-api-client
+# datadog-api-client-python
+
+This repository contains a Python API client for the [Datadog API](https://docs.datadoghq.com/api/).
+
+## Requirements
+
+Building and using the API client library requires [Python 3.7+](https://www.python.org/downloads/).
+
+## Installation
+
+To install the API client library, simply execute:
+
+```shell
+pip install datadog-api-client
+```
+
+## Getting Started
+
+Please follow the [installation](#installation) instruction and execute the following Python code:
+
+```python
+from datadog_api_client import ApiClient, Configuration
+from datadog_api_client.v1.api.monitors_api import MonitorsApi
+from datadog_api_client.v1.model.monitor import Monitor
+from datadog_api_client.v1.model.monitor_type import MonitorType
+
+body = Monitor(
+    name="example",
+    type=MonitorType("log alert"),
+    query='logs("service:foo AND type:error").index("main").rollup("count").by("source").last("5m") > 2',
+    message="some message Notify: @hipchat-channel",
+    tags=["test:example", "env:ci"],
+    priority=3,
+)
+
+configuration = Configuration()
+with ApiClient(configuration) as api_client:
+    api_instance = MonitorsApi(api_client)
+    response = api_instance.create_monitor(body=body)
+    print(response)
+```
+
+### Authentication
+
+By default the library will use the `DD_API_KEY` and `DD_APP_KEY` environment variables to authenticate against the Datadog API.
+To provide your own set of credentials, you need to set some keys on the configuration:
+
+```python
+configuration.api_key["apiKeyAuth"] = "<API KEY>"
+configuration.api_key["appKeyAuth"] = "<APPLICATION KEY>"
+```
+
+### Unstable Endpoints
+
+This client includes access to Datadog API endpoints while they are in an unstable state and may undergo breaking changes. An extra configuration step is required to enable these endpoints:
+
+```python
+configuration.unstable_operations["<OperationName>"] = True
+```
+
+where `<OperationName>` is the name of the method used to interact with that endpoint. For example: `list_log_indexes`, or `get_logs_index`
+
+### Changing Server
+
+When talking to a different server, like the `eu` instance, change the `server_variables` on your configuration object:
+
+```python
+configuration.server_variables["site"] = "datadoghq.eu"
+```
+
+### Disable compressed payloads
+
+If you want to disable GZIP compressed responses, set the `compress` flag
+on your configuration object:
+
+```python
+configuration.compress = False
+```
+
+### Enable requests logging
+
+If you want to enable requests logging, set the `debug` flag on your configuration object:
+
+```python
+configuration.debug = True
+```
+
+### Configure proxy
+
+You can configure the client to use proxy by setting the `proxy` key on configuration object:
+
+```python
+configuration.proxy = "http://127.0.0.1:80"
+```
+
+### Threads support
+
+You can run API calls in a thread by using `ThreadedApiClient` in place of `ApiClient`. API calls will then
+return a `AsyncResult` instance on which you can call get to retrieve the result:
+
+```python
+from datadog_api_client import Configuration, ThreadedApiClient
+from datadog_api_client.v1.api.dashboards_api import DashboardsApi
+
+configuration = Configuration()
+with ThreadedApiClient(configuration) as api_client:
+    api_instance = DashboardsApi(api_client)
+    result = api_instance.list_dashboards()
+    dashboards = result.get()
+    print(dashboards)
+```
+
+### Asyncio support
+
+The library supports asynchronous operations when using `AsyncApiClient` for the transport. When that client is used,
+the API methods will then return coroutines that you can wait for.
+
+To make async support available, you need to install the extra `async` qualifiers during installation: `pip install datadog-api-client[async]`.
+
+```python
+import asyncio
+
+from datadog_api_client import Configuration, AsyncApiClient
+from datadog_api_client.v1.api.dashboards_api import DashboardsApi
+
+async def main():
+    configuration = Configuration()
+    async with AsyncApiClient(configuration) as api_client:
+        api_instance = DashboardsApi(api_client)
+        dashboards = await api_instance.list_dashboards()
+        print(dashboards)
+
+asyncio.run(main())
+```
+
+### Pagination
+
+Several listing operations have a pagination method to help consume all the items available.
+For example, to retrieve all your incidents:
+
+```python
+from datadog_api_client import ApiClient, Configuration
+from datadog_api_client.v2.api.incidents_api import IncidentsApi
+
+configuration = Configuration()
+configuration.unstable_operations["list_incidents"] = True
+with ApiClient(configuration) as api_client:
+    api_instance = IncidentsApi(api_client)
+    for incident in api_instance.list_incidents_with_pagination():
+        print(incident.id)
+```
+
+## Documentation for API Endpoints and Models
+
+Documentation for API endpoints and models are available on [readthedocs](https://datadog-api-client.readthedocs.io/).
+
+## Documentation for Authorization
+
+Authenticate with the API by providing your API and Application keys in the configuration:
+
+```python
+configuration.api_key["apiKeyAuth"] = "YOUR_API_KEY"
+configuration.api_key["appKeyAuth"] = "YOUR_APPLICATION_KEY"
+```
+
+## Author
+
+support@datadoghq.com
+
+
+%package help
+Summary:	Development documents and examples for datadog-api-client
+Provides:	python3-datadog-api-client-doc
+%description help
+# datadog-api-client-python
+
+This repository contains a Python API client for the [Datadog API](https://docs.datadoghq.com/api/).
+
+## Requirements
+
+Building and using the API client library requires [Python 3.7+](https://www.python.org/downloads/).
+
+## Installation
+
+To install the API client library, simply execute:
+
+```shell
+pip install datadog-api-client
+```
+
+## Getting Started
+
+Please follow the [installation](#installation) instruction and execute the following Python code:
+
+```python
+from datadog_api_client import ApiClient, Configuration
+from datadog_api_client.v1.api.monitors_api import MonitorsApi
+from datadog_api_client.v1.model.monitor import Monitor
+from datadog_api_client.v1.model.monitor_type import MonitorType
+
+body = Monitor(
+    name="example",
+    type=MonitorType("log alert"),
+    query='logs("service:foo AND type:error").index("main").rollup("count").by("source").last("5m") > 2',
+    message="some message Notify: @hipchat-channel",
+    tags=["test:example", "env:ci"],
+    priority=3,
+)
+
+configuration = Configuration()
+with ApiClient(configuration) as api_client:
+    api_instance = MonitorsApi(api_client)
+    response = api_instance.create_monitor(body=body)
+    print(response)
+```
+
+### Authentication
+
+By default the library will use the `DD_API_KEY` and `DD_APP_KEY` environment variables to authenticate against the Datadog API.
+To provide your own set of credentials, you need to set some keys on the configuration:
+
+```python
+configuration.api_key["apiKeyAuth"] = "<API KEY>"
+configuration.api_key["appKeyAuth"] = "<APPLICATION KEY>"
+```
+
+### Unstable Endpoints
+
+This client includes access to Datadog API endpoints while they are in an unstable state and may undergo breaking changes. An extra configuration step is required to enable these endpoints:
+
+```python
+configuration.unstable_operations["<OperationName>"] = True
+```
+
+where `<OperationName>` is the name of the method used to interact with that endpoint. For example: `list_log_indexes`, or `get_logs_index`
+
+### Changing Server
+
+When talking to a different server, like the `eu` instance, change the `server_variables` on your configuration object:
+
+```python
+configuration.server_variables["site"] = "datadoghq.eu"
+```
+
+### Disable compressed payloads
+
+If you want to disable GZIP compressed responses, set the `compress` flag
+on your configuration object:
+
+```python
+configuration.compress = False
+```
+
+### Enable requests logging
+
+If you want to enable requests logging, set the `debug` flag on your configuration object:
+
+```python
+configuration.debug = True
+```
+
+### Configure proxy
+
+You can configure the client to use proxy by setting the `proxy` key on configuration object:
+
+```python
+configuration.proxy = "http://127.0.0.1:80"
+```
+
+### Threads support
+
+You can run API calls in a thread by using `ThreadedApiClient` in place of `ApiClient`. API calls will then
+return a `AsyncResult` instance on which you can call get to retrieve the result:
+
+```python
+from datadog_api_client import Configuration, ThreadedApiClient
+from datadog_api_client.v1.api.dashboards_api import DashboardsApi
+
+configuration = Configuration()
+with ThreadedApiClient(configuration) as api_client:
+    api_instance = DashboardsApi(api_client)
+    result = api_instance.list_dashboards()
+    dashboards = result.get()
+    print(dashboards)
+```
+
+### Asyncio support
+
+The library supports asynchronous operations when using `AsyncApiClient` for the transport. When that client is used,
+the API methods will then return coroutines that you can wait for.
+
+To make async support available, you need to install the extra `async` qualifiers during installation: `pip install datadog-api-client[async]`.
+
+```python
+import asyncio
+
+from datadog_api_client import Configuration, AsyncApiClient
+from datadog_api_client.v1.api.dashboards_api import DashboardsApi
+
+async def main():
+    configuration = Configuration()
+    async with AsyncApiClient(configuration) as api_client:
+        api_instance = DashboardsApi(api_client)
+        dashboards = await api_instance.list_dashboards()
+        print(dashboards)
+
+asyncio.run(main())
+```
+
+### Pagination
+
+Several listing operations have a pagination method to help consume all the items available.
+For example, to retrieve all your incidents:
+
+```python
+from datadog_api_client import ApiClient, Configuration
+from datadog_api_client.v2.api.incidents_api import IncidentsApi
+
+configuration = Configuration()
+configuration.unstable_operations["list_incidents"] = True
+with ApiClient(configuration) as api_client:
+    api_instance = IncidentsApi(api_client)
+    for incident in api_instance.list_incidents_with_pagination():
+        print(incident.id)
+```
+
+## Documentation for API Endpoints and Models
+
+Documentation for API endpoints and models are available on [readthedocs](https://datadog-api-client.readthedocs.io/).
+
+## Documentation for Authorization
+
+Authenticate with the API by providing your API and Application keys in the configuration:
+
+```python
+configuration.api_key["apiKeyAuth"] = "YOUR_API_KEY"
+configuration.api_key["appKeyAuth"] = "YOUR_APPLICATION_KEY"
+```
+
+## Author
+
+support@datadoghq.com
+
+
+%prep
+%autosetup -n datadog-api-client-2.11.0
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-datadog-api-client -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.11.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..db015b3
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+9e2480c56e0a0cf1dfa8a4129cbab0f7  datadog-api-client-2.11.0.tar.gz