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contribute/addnode.html

@@ -443,29 +443,16 @@ <h1 data-number="6"><span class="header-section-number">6</span> Documentation</
 <li><code>docs/core/equations</code> should contain a short explanation and if possible an analytical expression for the behaviour of the new node;</li>
 <li><code>docs/core/usage.qmd</code> should contain a short explanation of the node and the possible schemas associated with it;</li>
 <li>The example models constructed in <code>docs/python/examples.ipynb</code> should be extended with the new node type or a new example model with the new node type should be made.</li>
+<li>In <code>_quarto.yml</code> add <code>NewNodeType</code> to the “Node types” contents for the Python API reference.</li>
 </ul>
 </section>
 <section id="finishing-up" class="level1" data-number="7">
 <h1 data-number="7"><span class="header-section-number">7</span> Finishing up</h1>
 <p>When a new node type is created, one needs to run</p>
-<pre><code>julia --project=docs docs/gen_schema.jl</code></pre>
-<p>to create new JSON Schemas in the docs folder.</p>
-<div class="callout callout-style-default callout-note callout-titled">
-<div class="callout-header d-flex align-content-center">
-<div class="callout-icon-container">
-<i class="callout-icon"></i>
-</div>
-<div class="callout-title-container flex-fill">
-Note
-</div>
-</div>
-<div class="callout-body-container callout-body">
-<p>If you haven’t done so before, you first need to instantiate your docs environment. Run <code>julia --project=docs</code>, followed by running <code>instantiate</code> in the Pkg mode (press <code>]</code>).</p>
-</div>
-</div>
-<p>To generate the Python module <code>models.py</code> and <code>config.py</code> from the JSON Schemas, run:</p>
 <pre><code>pixi run codegen</code></pre>
-<p>Since adding a node type touches both the Python and Julia code, it is a good idea to run both the <a href="../contribute/python.html#test">Python test suite</a> and <a href="../contribute/core.html#test">Julia test suite</a> locally before creating a pull request.</p>
+<p>This will derive all JSON Schemas from the julia code, and write them to the docs folder. From these JSON Schemas the Python modules <code>models.py</code> and <code>config.py</code> are generated.</p>
+<p>Since adding a node type touches both the Python and Julia code, it is a good idea to run both the <a href="../contribute/python.html#test">Python test suite</a> and <a href="../contribute/core.html#test">Julia test suite</a> locally before creating a pull request. You can run all tests with:</p>
+<pre><code>pixi run tests</code></pre>
 
 
 </section>

python/examples.html

@@ -545,7 +545,7 @@ <h1 data-number="2"><span class="header-section-number">2</span> Update the basi
 <span id="cb26-4"><a href="#cb26-4" aria-hidden="true" tabindex="-1"></a>ax <span class="op">=</span> df_flow.pivot_table(index<span class="op">=</span><span class="st">"time"</span>, columns<span class="op">=</span><span class="st">"edge"</span>, values<span class="op">=</span><span class="st">"flow_m3d"</span>).plot()</span>
 <span id="cb26-5"><a href="#cb26-5" aria-hidden="true" tabindex="-1"></a>ax.legend(bbox_to_anchor<span class="op">=</span>(<span class="fl">1.3</span>, <span class="dv">1</span>), title<span class="op">=</span><span class="st">"Edge"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-display" data-execution_count="26">
-<pre><code>&lt;matplotlib.legend.Legend at 0x7fad4ca40c10&gt;</code></pre>
+<pre><code>&lt;matplotlib.legend.Legend at 0x7f68fc3b1490&gt;</code></pre>
 </div>
 <div class="cell-output cell-output-display">
 <p><img src="examples_files/figure-html/cell-27-output-2.png" width="727" height="561"></p>