Files
enviPy-bayer/templates/predict_pathway.html
Tobias O 1c2f70b3b9 [Feature] Add batch-predict to site-map (#285)
Adds batch predict to the site-map but does not give it prominence.
This is to avoid non-experts "accidentally" flooding the system.

Happy to move it to the main menu if better, @jebus?

Reviewed-on: enviPath/enviPy#285
Co-authored-by: Tobias O <tobias.olenyi@envipath.com>
Co-committed-by: Tobias O <tobias.olenyi@envipath.com>
2026-01-15 22:30:31 +13:00

240 lines
7.1 KiB
HTML

{% extends "framework_modern.html" %}
{% load static %}
{% block content %}
<div class="mx-auto w-full p-8">
<h1 class="h1 mb-4 text-3xl font-bold">
Predict a Pathway
<span class="text-base-content/50 text-xs"
>in <strong>{{ meta.current_package.name|safe }}</strong>
</span>
</h1>
<form
id="predict_form"
accept-charset="UTF-8"
action="{{ meta.current_package.url }}/pathway"
method="post"
>
{% csrf_token %}
<div class="mb-8 flex flex-col gap-8 md:flex-row md:items-end">
<fieldset class="flex flex-col gap-4 md:flex-3/4">
<label class="floating-label" for="name">
<input
type="text"
name="name"
placeholder="Name"
id="name"
class="input input-md w-full"
autofocus
/>
<span>Name</span>
</label>
<label class="floating-label" for="description">
<input
type="text"
name="description"
placeholder="Description"
id="description"
class="input input-md w-full"
/>
<span>Description</span>
</label>
</fieldset>
<fieldset
class="fieldset flex shrink-0 flex-row items-start gap-3 md:flex-1/4 md:flex-col"
>
<label class="fieldset-label text-base-content/50">Mode</label>
<label class="label">
<input
type="radio"
name="predict"
id="radioPredict"
value="predict"
checked
class="radio radio-neutral"
/>
Predict
</label>
<label class="label">
<input
type="radio"
name="predict"
id="radioIncremental"
value="incremental"
class="radio radio-neutral"
/>
Incremental
</label>
<label class="label">
<input
type="radio"
name="predict"
id="radioBuild"
value="build"
class="radio radio-neutral"
/>
Build
</label>
</fieldset>
</div>
<label class="floating-label" for="predict-smiles">
<input
type="text"
name="smiles"
placeholder="SMILES"
id="predict-smiles"
class="input input-md w-full"
/>
<span>SMILES</span>
</label>
<div class="divider text-base-content/50">OR</div>
<div class="mb-8 w-full">
<label class="text-base-content/50 mb-4 text-xs font-medium"
>Draw Structure</label
>
<iframe
id="predict-ketcher"
src="{% static '/js/ketcher2/ketcher.html' %}"
width="100%"
height="510"
></iframe>
</div>
<label class="select mb-8 w-full">
<span class="label">Predictor</span>
<select id="prediction-setting" name="prediction-setting">
<option disabled>Select a Setting</option>
{% for s in meta.available_settings %}
<option
value="{{ s.url }}"
{% if s.id == meta.user.default_setting.id %}selected{% endif %}
>
{{ s.name }}{% if s.id == meta.user.default_setting.id %}
(User default)
{% endif %}
</option>
{% endfor %}
</select>
</label>
<div class="flex h-fit w-full justify-between">
<a
href="/batch-predict"
class="link-hover text-neutral/50 self-end text-sm"
>More than one compound?</a
>
<div class="flex justify-end gap-2">
<a
href="{{ meta.current_package.url }}/pathway"
class="btn btn-outline"
>Cancel</a
>
<button
type="submit"
id="predict-submit-button"
class="btn btn-primary"
>
Predict
</button>
</div>
</div>
</form>
</div>
{# prettier-ignore-start #}
<script>
// Helper function to safely get Ketcher instance from iframe
function getKetcherInstance(iframeId) {
const ketcherFrame = document.getElementById(iframeId);
if (!ketcherFrame) {
console.error("Ketcher iframe not found:", iframeId);
return null;
}
try {
if ('contentWindow' in ketcherFrame && ketcherFrame.contentWindow.ketcher) {
return ketcherFrame.contentWindow.ketcher;
}
} catch (err) {
console.error("Cannot access Ketcher iframe - possible CORS issue:", err);
}
return null;
}
function predictKetcherToTextInput() {
document.getElementById("predict-smiles").value = this.ketcher.getSmiles();
}
document.addEventListener("DOMContentLoaded", function () {
const predictKetcher = document.getElementById("predict-ketcher");
predictKetcher.addEventListener("load", function () {
const checkKetcherReady = () => {
const win = this.contentWindow;
if (win.ketcher && "editor" in win.ketcher) {
window.predictKetcher = win.ketcher;
win.ketcher.editor.event.change.handlers.push({
once: false,
priority: 0,
f: predictKetcherToTextInput,
ketcher: win.ketcher,
});
} else {
setTimeout(checkKetcherReady, 100);
}
};
checkKetcherReady();
});
const submitButton = document.getElementById("predict-submit-button");
submitButton.addEventListener("click", function (e) {
e.preventDefault();
const button = this;
button.disabled = true;
button.textContent = "Predicting...";
// Get SMILES from either input or Ketcher
const smilesInput = document.getElementById("predict-smiles");
let smiles = smilesInput.value.trim();
// If SMILES input is empty, try to get from Ketcher
if (!smiles) {
const ketcher = getKetcherInstance('predict-ketcher');
if (ketcher && ketcher.getSmiles) {
try {
smiles = ketcher.getSmiles().trim();
if (smiles) {
smilesInput.value = smiles;
}
} catch (err) {
console.error("Failed to get SMILES from Ketcher:", err);
alert("Unable to extract structure from the drawing editor. Please enter a SMILES string instead.");
button.disabled = false;
button.textContent = "Predict";
return;
}
}
}
// Basic validation
if (!smiles) {
alert("Please enter a SMILES string or draw a structure.");
button.disabled = false;
button.textContent = "Predict";
return;
}
// Submit form
document.getElementById("predict_form").submit();
});
});
</script>
{# prettier-ignore-end #}
{% endblock content %}