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Using a debugger is a common way to find out what is wrong with your application, but debugging a Django application in Splunk might not be so obvious. But it is possible, and I’ll show you how using pdb, PyCharm, and Visual Studio.

Disclaimer: Don’t try this in a production environment.

Python interpreter

Splunk ships with a Python interpreter. To launch it, use the splunk cmd command (see Command line tools for use with Support):

Windows

Mac OS / Linux

To help run this command, let’s create a couple of small shell scripts under $SPLUNK_HOME/bin:

Windows (save it as python_splunk.cmd)

Mac OS / Linux (save it as python_splunk.sh)

Note: However you name the scripts, just make sure the name starts with python. Otherwise, you’ll run into this PY-11992 issue.

On Mac OS / Linux, be sure to give permissions to execute the script:

Mac OS / Linux

Note: We need a shell script for two reasons. First, a script simplifies the way we can execute Python code with the interpreter included with Splunk. Second, we need to have an executable file to set up the Python interpreter in Visual Studio and PyCharm. These IDEs do not allow you to specify a command with an executable and a set of parameters.

Now we can run the Python interpreter from the shell with the script:

Windows

Mac OS / Linux

Discovering the start point of the SplunkWeb service

Before I show you how to debug SplunkWeb, I want to show you how to find out what you need to launch it manually so that if something changes in the future (how we launch SplunkWeb) these steps will help you to diagnose this and find new a start point.

Currently Splunk 6.0.1 is the latest stable version. If you are using this version, feel free to skip this section. If you skip these steps and if debugging does not work for you, follow the steps in this section to find what has been changed.

Note: All commands in this section are from a Mac OS terminal because Splunk for Windows has an actual SplunkWeb.exe service and it is not so easy to find out how it starts Python code.

I assume that you have Splunk installed on your development box. If Splunk is not running, start it from a terminal:

Mac OS / Linux

Now run this command:

Mac OS / Linux

This command shows us all processes that have python as an executable. This is the output I see:

Mac OS / Linux

In my case I had only one result. If you have more than one result, it should be easy for you to figure out which one is SplunkWeb. The command in the output is the command that Splunk uses to launch the splunkweb service.

Let’s see if we can use it. Stop the splunkweb service:

Mac OS / Linux

Let’s try to launch splunkweb manually by using the script we created earlier:

Mac OS / Linux

Now you know how to launch SplunkWeb manually. To stop it, press Control + C in the terminal.

In Windows, Python libraries are located in a different folder relative to $SPLUNK_HOME:

Windows

Debugging with pdb, the Python debugger

If you like to debug in a terminal, you can debug using the pdb module. Change the command line to:

Mac OS / Linux

Windows

I’ve dropped the -O switch, which is responsible for optimization. There is no point using it for development. See the official Python documentation to learn more about Python command-line arguments.

After this command you should get a breakpoint on the first executable line. See the documentation for the pdb module to learn how to continue (c) execution and how to work with breakpoints.

Debugging with PyCharm

I used the free Community Edition of PyCharm. Download it, install it, and launch it.

On the Welcome screen, choose Open Directory and select your $SPLUNK_HOME directory (where you installed Splunk):

Note for Mac OS/ Linux: You might have issues if you try to open the directory, which does not allow you to write into it. Opening the SPLUNK_HOME folder is not a requirement. You can open the directory with your application. Just make sure that you set up all paths to Splunk in PyCharm as I do below.

Note for Windows: You need to launch PyCharm with elevated permissions (Run As Administrator).

Now set up the Python interpreter. We’ll use the scripts python_splunk.sh / python_splunk.cmd that we created earlier.

Open PyCharm Preferences⌘, (Settings… in Windows Ctrl+Alt+S) and go to the Project Interpreter / Python Interpreters. Click the Add + button, select Local… and choose $SPLUNK_HOME/bin/python_splunk.sh (%SPLUNK_HOME%binpython_splunk.cmd in Windows). PyCharm will ask you to set it up as Project Interpreter, click Yes.

Note for Windows: If you don’t see anything on the Paths tab, make sure to launch PyCharm with elevated permissions.

Next we need to set up how to launch this project:

  1. Open Run / Edit Configurations…, click the + button and select Python. Name it as you wish (SplunkWeb for example).
  2. Set Working Directory to $SPLUNK_HOME/bin. In my case it is /Users/dgladkikh/dev/splunk/bin/splunk 6.0.1/bin/.
  3. Set Script as ./../lib/python2.7/site-packages/splunk/appserver/mrsparkle/root.py (on Windows it is …Python-2.7Libsite-packagessplunkappservermrsparkleroot.py). This is the script that we found earlier.
  4. Set Script parameters to start.
  5. Verify that you have the right Python interpreter (the one we set in PyCharm Preferences above).

This is what you should see:

Finally, verify that splunkd is running and splunkweb is not:

Mac OS / Linux

Windows

In PyCharm press the Debug button to start the splunkweb server. You can place breakpoints in your source code and open Splunk in a browser.

Debugging with Visual Studio

Install Visual Studio and Python Tools for Visual Studio. In my case I installed Visual Studio 2013 Update 1 and Python Tools 2.0 for Visual Studio 2013.

Launch Visual Studio with elevated permissions (Run as Administrator).

First we need to configure the Python interpreter:

  1. Go to the Visual Studio Options -> Python Tools -> Environment Options.
  2. Click on Add Environment, name it as you wish, for example Python-Splunk.
  3. In Environment Settings -> Path specify the path to python_splunk.cmd (see first section of this article).
  4. In Environment Settings -> Windows Path specify the path to %SPLUNK_HOME%bin%.
  5. In Environment Settings -> Library Path specify the location of the Python libraries %SPLUNK_HOME%Python-2.7Lib.
  6. Specify the architecture x64 (x86 if you are on a 32-bit machine).
  7. Specify the language version, 2.7.

This is what you should see:

Let’s create a new project. Open File -> New Project… and select From Existing Python Code:

Select the path to %SPLUNK_HOME%:

Select the Python interpreter, which we created above:

Save the project:

Open Project Properties and specify Startup File on the General tab as .Python-2.7Libsite-packagessplunkappservermrsparkleroot.py:

On the Debug tab specify Script Arguments as start:

Save your settings, then verify that splunkd is running and splunkweb is not:

Windows

Now start your project in Visual Studio. In my case Visual Studio told me that I have some errors in my project. Just ignore the errors and click Yes to launch anyway.

Place breakpoints where you want, then open Splunk in a browser.

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Note: To stop debugging, close the terminal window with Python/SplunkWeb. When I tried to stop debugging from within Visual Studio, it crashed.

Enjoy!

Updates:

01 September 2015

If you are using Splunk version 6.2 and above you need modify appServerPorts setting in web.conf. Just add following lines in $SPLUNK_HOME/etc/system/local/web.conf


[settings]
appServerPorts = 0

See description from web.conf

If set to “0”, this will prevent the application server from
being run from splunkd. Instead, splunkweb will be started as
a separate python-based service which directly listens to the
‘httpport’. This is how Splunk 6.1.X and earlier behaved.

----------------------------------------------------
Thanks!
Denis Gladkikh

PyCharm provides methods for installing, uninstalling, and upgrading Python packages for a particular Python interpreter. By default, PyCharm uses pip to manage project packages. For Conda environments you can use the conda package manager.

In PyCharm, you can preview and manage packages in the Python Packages tool window and in the Python interpreter Settings/Preferences.

Manage packages in the Python Packages tool window

The Python Packages tool window provides the quickest and neat way to preview and install packages for the currently selected Python interpreter. This window is enabled by default, and you can find it in the lower group of the tool windows. At any time you can open it using the main menu: View Tool Windows Python Packages.

The Python Packages tool window shows installed packages and the packages available in the PyPI repository. Use the Search field to filter out the list of the available packages.

You can preview package documentation in the documentation area, or you can click the Documentation link and open the corresponding resource in a browser.

To delete an installed package, click in the upper-right corner of the Python Package tool window.

Install a package

  1. Start typing the package name in the Search field of the Python Package tool window. You should be able to see the number of the matching packages.

  2. Expand the list of the available versions in the upper-right corner of the tool window. Select the required version or keep it the latest.

  3. Click the Install button next to the version list. Once PyCharm notifies you about successful installation, you should see the package in the list of the installed packages.

Manage packages in the Python interpreter settings

To manage Python packages for the Python interpreter, select the Python Interpreter page in the project Settings/Preferences or select Interpreter Settings in the Python Interpreter selector on the Status bar.

If you select a Python interpreter with the configured Conda environment, the Use Conda Package Manager toggle appears in the packages area toolbar.

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Mac

Use this toggle to manage packages from the Conda environment repository. By default, this toggle is switched off and you can manage only the packages available with the selected Python interpreter.

Install a package

  1. Click the button on the package toolbar.

  2. In the Available Packages dialog that opens, preview the list of the available packages.

    To specify a custom repository, including devpi or PyPi, click Manage Repositories.
    In the Manage Repositories dialog that opens, click to add a URL of a local repository, for example, http://localhost:3141/root/pypi/+simple/, then click OK. In the Available Packages dialog, click to reload the list of the packages.

    To install a package from VCS, you need to switch to the Terminal window and execute the following command for the target Python interpreter: pip install git+https://github.com/<rest of the address>. See Installing Python packages from VCS for more details.

  3. Type the name of the package to install in the Search field. The list shrinks to show the matching packages only.

  4. If required, select the following checkboxes:

    • Specify version: if this checkbox is selected, you can select the desired version from the list of available versions. By default, the latest version is taken.

    • Options: If this checkbox is selected, you can type the pip installcommand-line options in the text field.

    • Install to user's site packages directory <path>: If this checkbox is left cleared (by default), then the packages will be installed into the current interpreter package directory. If the checkbox is selected, the packages will be installed into the specified directory. This option is not available for Conda environments.

  5. Select the target package and click Install Package.

If you've got any or error messages, consult the Troubleshooting guide for a solution.

Uninstall a package

  1. In the list of the packages, select the packages to be removed.

  2. Click Uninstall ( ). The selected packages are removed from disk.

PyCharm smartly tracks the status of packages and recognizes outdated versions by showing the number of the currently installed package version (column Version ), and the latest available version (column Latest version ). When a newer version of a package is detected, PyCharm marks it with the arrow sign and suggests to upgrade it.

By default, the Latest version column shows only stable versions of the packages. If you want to extend the scope of the latest available versions to any pre-release versions (such as beta or release candidate ), click Show early releases.

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Upgrade a package

  1. In the list of the packages, select the package to be upgraded.

  2. Click Upgrade ( ).

    The selected packages are upgraded to the latest available versions.

  3. Click OK to complete upgrading.

You can upgrade several packages at once. Hold Cmd (macOS) or Ctrl on (Unix or Windows), left-click to select several items in the list of packages, and then click Upgrade.

If you're accustomed to installing packages from the commands line, you can proceed with your workflow using the Terminal.

Reuse installed packages

  • Create a new virtual environment and install packages that you want to be used in other projects. Then you can specify this virtual environment as a Python interpreter for the target project and all the needed packages will be available.

  • In the Terminal window execute the following command:

    pip freeze > requirements.txt

    Then add the created requirements.txt file to the target project and PyCharm will prompt you to install the packages listed in the file.

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