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dependabot[bot] 98a8343d83
Bump tqdm from 4.64.1 to 4.66.3 in /dev/scripts/generate-fake-data (#4310) 
Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.64.1 to 4.66.3.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/tqdm/tqdm/releases">tqdm's
releases</a>.</em></p>
<blockquote>
<h2>tqdm v4.66.3 stable</h2>
<ul>
<li><code>cli</code>: <code>eval</code> safety (fixes CVE-2024-34062,
GHSA-g7vv-2v7x-gj9p)</li>
</ul>
<h2>tqdm v4.66.2 stable</h2>
<ul>
<li><code>pandas</code>: add <code>DataFrame.progress_map</code> (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1549">#1549</a>)</li>
<li><code>notebook</code>: fix HTML padding (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1506">#1506</a>)</li>
<li><code>keras</code>: fix resuming training when
<code>verbose&gt;=2</code> (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1508">#1508</a>)</li>
<li>fix <code>format_num</code> negative fractions missing leading zero
(<a
href="https://redirect.github.com/tqdm/tqdm/issues/1548">#1548</a>)</li>
<li>fix Python 3.12 <code>DeprecationWarning</code> on
<code>import</code> (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1519">#1519</a>)</li>
<li>linting: use f-strings (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1549">#1549</a>)</li>
<li>update tests (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1549">#1549</a>)
<ul>
<li>fix <code>pandas</code> warnings</li>
<li>fix <code>asv</code> (<a
href="https://redirect.github.com/airspeed-velocity/asv/issues/1323">airspeed-velocity/asv#1323</a>)</li>
<li>fix macos <code>notebook</code> docstring indentation</li>
</ul>
</li>
<li>CI: bump actions (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1549">#1549</a>)</li>
</ul>
<h2>tqdm v4.66.1 stable</h2>
<ul>
<li>fix <code>utils.envwrap</code> types (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1493">#1493</a> &lt;-
<a href="https://redirect.github.com/tqdm/tqdm/issues/1491">#1491</a>,
<a href="https://redirect.github.com/tqdm/tqdm/issues/1320">#1320</a>
&lt;- <a
href="https://redirect.github.com/tqdm/tqdm/issues/966">#966</a>, <a
href="https://redirect.github.com/tqdm/tqdm/issues/1319">#1319</a>)
<ul>
<li>e.g. cloudwatch &amp; kubernetes workaround: <code>export
TQDM_POSITION=-1</code></li>
</ul>
</li>
<li>drop mentions of unsupported Python versions</li>
</ul>
<h2>tqdm v4.66.0 stable</h2>
<ul>
<li>environment variables to override defaults (<code>TQDM_*</code>) (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1491">#1491</a> &lt;-
<a href="https://redirect.github.com/tqdm/tqdm/issues/1061">#1061</a>,
<a href="https://redirect.github.com/tqdm/tqdm/issues/950">#950</a>
&lt;- <a
href="https://redirect.github.com/tqdm/tqdm/issues/614">#614</a>, <a
href="https://redirect.github.com/tqdm/tqdm/issues/1318">#1318</a>, <a
href="https://redirect.github.com/tqdm/tqdm/issues/619">#619</a>, <a
href="https://redirect.github.com/tqdm/tqdm/issues/612">#612</a>, <a
href="https://redirect.github.com/tqdm/tqdm/issues/370">#370</a>)
<ul>
<li>e.g. in CI jobs, <code>export TQDM_MININTERVAL=5</code> to avoid log
spam</li>
<li>add tests &amp; docs for <code>tqdm.utils.envwrap</code></li>
</ul>
</li>
<li>fix &amp; update CLI completion</li>
<li>fix &amp; update API docs</li>
<li>minor code tidy: replace <code>os.path</code> =&gt;
<code>pathlib.Path</code></li>
<li>fix docs image hosting</li>
<li>release with CI bot account again (<a
href="https://redirect.github.com/cli/cli/issues/6680">cli/cli#6680</a>)</li>
</ul>
<h2>tqdm v4.65.2 stable</h2>
<ul>
<li>exclude <code>examples</code> from distributed wheel (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1492">#1492</a>)</li>
</ul>
<h2>tqdm v4.65.1 stable</h2>
<ul>
<li>migrate <code>setup.{cfg,py}</code> =&gt;
<code>pyproject.toml</code> (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1490">#1490</a>)
<ul>
<li>fix <code>asv</code> benchmarks</li>
<li>update docs</li>
</ul>
</li>
<li>fix snap build (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1490">#1490</a>)</li>
<li>fix &amp; update tests (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1490">#1490</a>)
<ul>
<li>fix flaky notebook tests</li>
<li>bump <code>pre-commit</code></li>
<li>bump workflow actions</li>
</ul>
</li>
</ul>
<h2>tqdm v4.65.0 stable</h2>
<ul>
<li>add Python 3.11 and drop Python 3.6 support (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1439">#1439</a>, <a
href="https://redirect.github.com/tqdm/tqdm/issues/1419">#1419</a>, <a
href="https://redirect.github.com/tqdm/tqdm/issues/502">#502</a> &lt;-
<a href="https://redirect.github.com/tqdm/tqdm/issues/720">#720</a>, <a
href="https://redirect.github.com/tqdm/tqdm/issues/620">#620</a>)</li>
<li>misc code &amp; docs tidy</li>
<li>fix &amp; update CI workflows &amp; tests</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="4e613f84ed"><code>4e613f8</code></a>
Merge pull request from GHSA-g7vv-2v7x-gj9p</li>
<li><a
href="b53348c730"><code>b53348c</code></a>
cli: eval safety</li>
<li><a
href="cc372d09dc"><code>cc372d0</code></a>
bump version, merge pull request <a
href="https://redirect.github.com/tqdm/tqdm/issues/1549">#1549</a> from
tqdm/devel</li>
<li><a
href="e9f0c05097"><code>e9f0c05</code></a>
use PyPI trusted publishing</li>
<li><a
href="7323d5bcc9"><code>7323d5b</code></a>
slight makefile clean</li>
<li><a
href="5306125133"><code>5306125</code></a>
tests: bump pre-commit</li>
<li><a
href="4a6fd4f690"><code>4a6fd4f</code></a>
fix datetime.utcfromtimestamp py3.12 warning (<a
href="https://redirect.github.com/tqdm/tqdm/issues/1519">#1519</a>)</li>
<li><a
href="6f13759f4a"><code>6f13759</code></a>
tests: fix macos notebook indentation</li>
<li><a
href="3abcd2ac90"><code>3abcd2a</code></a>
tests: fix asv</li>
<li><a
href="a4d15c8e2f"><code>a4d15c8</code></a>
tests: fix pandas warnings</li>
<li>Additional commits viewable in <a
href="https://github.com/tqdm/tqdm/compare/v4.64.1...v4.66.3">compare
view</a></li>
</ul>
</details>
<br />


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2024-05-13 17:11:53 +00:00
..
main.py fake-data generation script + fixes for django-silk and django-debug-toolbar (#1128) 2023-01-20 09:19:41 +01:00
README.md Revert "upgrade to Python 3.12 (#3456)" and "bump uwsgi version to latest #3466" (#3483) 2023-12-01 09:56:26 -05:00
requirements.txt Bump tqdm from 4.64.1 to 4.66.3 in /dev/scripts/generate-fake-data (#4310) 2024-05-13 17:11:53 +00:00

README.md

Fake Data Generator Script

This script can be used to easily populate fake data into your local Grafana/OnCall setup. Currently the script is capable of generating the following objects:

  • teams
  • users
  • schedules
  • schedule on call shifts

Prerequisites

  1. Create/active a Python 3.11 virtual environment
  2. pip install -r requirements.txt
  3. Must have a local version of Grafana and OnCall up and running
  4. Generate an API key inside of Grafana OnCall

How to run

Note: The below flag values assume you are running a grafana container locally via the docker-compose setup. The reason why there is a few separate steps involved is that we need to first create teams and users in the Grafana instance. Later on, in order to create OnCall schedules/oncall-shifts, we need the OnCall user ID to do so. There is currently no way to trigger a Grafana -> OnCall data sync via the public API, hence the manual step in the middle to have data synced between Grafana and OnCall.

  1. Create teams and users in Grafana. The teams and users flags represent the number of teams and users you would like to create respectively:

    # by default this will generate 10 teams and 1000 users
python main.py generate_teams_and_users

    See python main.py generate_teams_and_users -h for more information on how to run the command.

  2. Head to your OnCall setup, and trigger a Grafana -> OnCall data sync by visiting the plugin page.

  3. Create schedules and on call shifts in OnCall. The schedules flag represents the number of OnCall schedules you would like to generate. Note that one on call shift is created for each schedule:

    # by default this will generate 100 schedules
python main.py generate_schedules_and_oncall_shifts --oncall-api-token=<oncall-api-key>

    See python main.py generate_schedules_and_oncall_shifts -h for more information on how to run the command.