>Before your application can use a `WavefrontProxyClient`, you must [set up and start a Wavefront proxy](https://docs.wavefront.com/proxies_installing.html). When sending data via the Wavefront Proxy, you need to create a `WavefrontProxyClient`. Include the following information. * The name of the host that will run the Wavefront Proxy. * One or more proxy listening ports to send data to. The ports you specify depend on the kinds of data you want to send (metrics, histograms, and/or trace data). You must specify at least one listener port. * Optional settings for tuning communication with the proxy. > **Note**: See [Advanced Proxy Configuration and Installation](https://docs.wavefront.com/proxies_configuring.html) for details. ```python from wavefront_sdk import WavefrontProxyClient # Create a sender with: # the proxy hostname or address # the default listener port (2878) for sending metrics to # the recommended listener port (2878) for sending histograms to # the recommended listener port (30000) for sending trace data. # if you are directly using the sender sdk to send spans without using any other sdk, use the same port as the customTracingListenerPorts configured in the wavefront proxy for the tracing_port wavefront_sender = WavefrontProxyClient( host="
Before your application can use a `WavefrontClient` you must [set up and start a Wavefront Proxy](https://docs.wavefront.com/proxies_installing.html). * Sending data via direct ingestion? * Verify that you have the Direct Data Ingestion permission. For details, see [Examine Groups, Roles, and Permissions](https://docs.wavefront.com/users_account_managing.html#examine-groups-roles-and-permissions). * The HTTP URL of your cluster. This is the URL you connect to when you log in to the service, typically something like `http://
You can also use HTTP client with Wavefront Proxy version 7.0 or newer. Example: `http://proxy.acme.corp:2878`. * [Obtain the API token](http://docs.wavefront.com/wavefront_api.html#generating-an-api-token). ### Initialize the WavefrontClient ```python from wavefront_sdk.client_factory import WavefrontClientFactory # Create a sender with: # Required Parameter # URL format to send data via proxy: "proxy://
8. Provide a short but descriptive title for the release.
9. Fill in the details of the release. Please copy the markdown from the previous release and follow the same format.
10. Click **Publish release.** to start publishing the release to pypi.org.
11. From the GitHub top navigation bar of this project, click the **Actions** tab. On the first line of the list of workflows, you should see a workflow running that will publish your release to pypi.org.
12. When the workflow from step 9 has a green checkmark next to it, go to [pypi.org](https://pypi.org/project/wavefront-sdk-python/) and verify that the latest version is published.
%package -n python3-wavefront-sdk-python
Summary: VMware Aria Operations for Applications Python SDK
Provides: python-wavefront-sdk-python
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-wavefront-sdk-python
# wavefront-sdk-python
[](https://github.com/wavefrontHQ/wavefront-sdk-python/actions)
[](https://pypi.org/project/wavefront-sdk-python/)
[](https://pypi.org/project/wavefront-sdk-python/)
[](https://pypi.org/project/wavefront-sdk-python/)
## Table of Content
* [Prerequisites](#Prerequisites)
* [Set Up a Sender](#set-up-a-sender)
* [Send a Single Data Point](#send-a-single-data-point)
* [Send Batch Data](#send-batch-data)
* [Get the Failure Count](#get-the-failure-count)
* [Close the Connection](#close-the-connection)
* [License](#License)
* [How to Get Support and Contribute](#how-to-get-support-and-contribute)
* [How to Release](#how-to-release)
# VMware Aria Operations™ for Applications Python SDK
VMware Aria Operations for Applications (formerly known as Wavefront) Python SDK lets you send raw data from your Python application to Operations for Applications using a wavefront_sender interface. The data is then stored as metrics, histograms, and trace data. This SDK is also referred to as the Wavefront Sender SDK for Python.
Although this library is mostly used by the other Operations for Applications Python SDKs to send data to Operations for Applications, you can also use this SDK directly. For example, you can send data directly from a data store or CSV file to Operations for Applications.
Note: We're in the process of updating the product name to Operations for Applications, but in many places we still refer to it as Wavefront.
**Before you start implementing, let us make sure you are using the correct SDK!**
> ***Note***:
>
> * **This is the VMware Aria Operations for Applications SDK for Python (Sender SDK for Python)!**
> If this SDK is not what you were looking for, see the [table](#wavefront-sdks) below.
#### VMware Aria Operations for Applications SDKs
| SDK Type | SDK Description | Supported Languages |
|---|---|---|
| Metrics SDK | Implements a standard metrics library. Lets you define, collect, and report custom business metrics and histograms from any part of your application code. |
|
| Sender SDK | Lets you send raw data for storage as metrics, histograms, or traces, e.g., to import CSV data into the service. |
|
>Before your application can use a `WavefrontProxyClient`, you must [set up and start a Wavefront proxy](https://docs.wavefront.com/proxies_installing.html). When sending data via the Wavefront Proxy, you need to create a `WavefrontProxyClient`. Include the following information. * The name of the host that will run the Wavefront Proxy. * One or more proxy listening ports to send data to. The ports you specify depend on the kinds of data you want to send (metrics, histograms, and/or trace data). You must specify at least one listener port. * Optional settings for tuning communication with the proxy. > **Note**: See [Advanced Proxy Configuration and Installation](https://docs.wavefront.com/proxies_configuring.html) for details. ```python from wavefront_sdk import WavefrontProxyClient # Create a sender with: # the proxy hostname or address # the default listener port (2878) for sending metrics to # the recommended listener port (2878) for sending histograms to # the recommended listener port (30000) for sending trace data. # if you are directly using the sender sdk to send spans without using any other sdk, use the same port as the customTracingListenerPorts configured in the wavefront proxy for the tracing_port wavefront_sender = WavefrontProxyClient( host="
Before your application can use a `WavefrontClient` you must [set up and start a Wavefront Proxy](https://docs.wavefront.com/proxies_installing.html). * Sending data via direct ingestion? * Verify that you have the Direct Data Ingestion permission. For details, see [Examine Groups, Roles, and Permissions](https://docs.wavefront.com/users_account_managing.html#examine-groups-roles-and-permissions). * The HTTP URL of your cluster. This is the URL you connect to when you log in to the service, typically something like `http://
You can also use HTTP client with Wavefront Proxy version 7.0 or newer. Example: `http://proxy.acme.corp:2878`. * [Obtain the API token](http://docs.wavefront.com/wavefront_api.html#generating-an-api-token). ### Initialize the WavefrontClient ```python from wavefront_sdk.client_factory import WavefrontClientFactory # Create a sender with: # Required Parameter # URL format to send data via proxy: "proxy://
8. Provide a short but descriptive title for the release.
9. Fill in the details of the release. Please copy the markdown from the previous release and follow the same format.
10. Click **Publish release.** to start publishing the release to pypi.org.
11. From the GitHub top navigation bar of this project, click the **Actions** tab. On the first line of the list of workflows, you should see a workflow running that will publish your release to pypi.org.
12. When the workflow from step 9 has a green checkmark next to it, go to [pypi.org](https://pypi.org/project/wavefront-sdk-python/) and verify that the latest version is published.
%package help
Summary: Development documents and examples for wavefront-sdk-python
Provides: python3-wavefront-sdk-python-doc
%description help
# wavefront-sdk-python
[](https://github.com/wavefrontHQ/wavefront-sdk-python/actions)
[](https://pypi.org/project/wavefront-sdk-python/)
[](https://pypi.org/project/wavefront-sdk-python/)
[](https://pypi.org/project/wavefront-sdk-python/)
## Table of Content
* [Prerequisites](#Prerequisites)
* [Set Up a Sender](#set-up-a-sender)
* [Send a Single Data Point](#send-a-single-data-point)
* [Send Batch Data](#send-batch-data)
* [Get the Failure Count](#get-the-failure-count)
* [Close the Connection](#close-the-connection)
* [License](#License)
* [How to Get Support and Contribute](#how-to-get-support-and-contribute)
* [How to Release](#how-to-release)
# VMware Aria Operations™ for Applications Python SDK
VMware Aria Operations for Applications (formerly known as Wavefront) Python SDK lets you send raw data from your Python application to Operations for Applications using a wavefront_sender interface. The data is then stored as metrics, histograms, and trace data. This SDK is also referred to as the Wavefront Sender SDK for Python.
Although this library is mostly used by the other Operations for Applications Python SDKs to send data to Operations for Applications, you can also use this SDK directly. For example, you can send data directly from a data store or CSV file to Operations for Applications.
Note: We're in the process of updating the product name to Operations for Applications, but in many places we still refer to it as Wavefront.
**Before you start implementing, let us make sure you are using the correct SDK!**
> ***Note***:
>
> * **This is the VMware Aria Operations for Applications SDK for Python (Sender SDK for Python)!**
> If this SDK is not what you were looking for, see the [table](#wavefront-sdks) below.
#### VMware Aria Operations for Applications SDKs
| SDK Type | SDK Description | Supported Languages |
|---|---|---|
| Metrics SDK | Implements a standard metrics library. Lets you define, collect, and report custom business metrics and histograms from any part of your application code. |
|
| Sender SDK | Lets you send raw data for storage as metrics, histograms, or traces, e.g., to import CSV data into the service. |
|
>Before your application can use a `WavefrontProxyClient`, you must [set up and start a Wavefront proxy](https://docs.wavefront.com/proxies_installing.html). When sending data via the Wavefront Proxy, you need to create a `WavefrontProxyClient`. Include the following information. * The name of the host that will run the Wavefront Proxy. * One or more proxy listening ports to send data to. The ports you specify depend on the kinds of data you want to send (metrics, histograms, and/or trace data). You must specify at least one listener port. * Optional settings for tuning communication with the proxy. > **Note**: See [Advanced Proxy Configuration and Installation](https://docs.wavefront.com/proxies_configuring.html) for details. ```python from wavefront_sdk import WavefrontProxyClient # Create a sender with: # the proxy hostname or address # the default listener port (2878) for sending metrics to # the recommended listener port (2878) for sending histograms to # the recommended listener port (30000) for sending trace data. # if you are directly using the sender sdk to send spans without using any other sdk, use the same port as the customTracingListenerPorts configured in the wavefront proxy for the tracing_port wavefront_sender = WavefrontProxyClient( host="
Before your application can use a `WavefrontClient` you must [set up and start a Wavefront Proxy](https://docs.wavefront.com/proxies_installing.html). * Sending data via direct ingestion? * Verify that you have the Direct Data Ingestion permission. For details, see [Examine Groups, Roles, and Permissions](https://docs.wavefront.com/users_account_managing.html#examine-groups-roles-and-permissions). * The HTTP URL of your cluster. This is the URL you connect to when you log in to the service, typically something like `http://
You can also use HTTP client with Wavefront Proxy version 7.0 or newer. Example: `http://proxy.acme.corp:2878`. * [Obtain the API token](http://docs.wavefront.com/wavefront_api.html#generating-an-api-token). ### Initialize the WavefrontClient ```python from wavefront_sdk.client_factory import WavefrontClientFactory # Create a sender with: # Required Parameter # URL format to send data via proxy: "proxy://
8. Provide a short but descriptive title for the release.
9. Fill in the details of the release. Please copy the markdown from the previous release and follow the same format.
10. Click **Publish release.** to start publishing the release to pypi.org.
11. From the GitHub top navigation bar of this project, click the **Actions** tab. On the first line of the list of workflows, you should see a workflow running that will publish your release to pypi.org.
12. When the workflow from step 9 has a green checkmark next to it, go to [pypi.org](https://pypi.org/project/wavefront-sdk-python/) and verify that the latest version is published.
%prep
%autosetup -n wavefront-sdk-python-1.8.15
%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-wavefront-sdk-python -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot