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import {
metadataOptionId,
namespacedMetadataId,
parseMetadataOptionId
} from './schemas/metadata.js';
import { entries, groupBy, nonnull, pick, sum } from './utils.js';
/**
* @import { RuntimeValue } from './metadata.js'
* @import { DatabaseHandle } from './idb.svelte.js'
* @import { MetadataEnumVariant } from './database.js'
*/
/**
* Get all metadata the given MetadataValue cascades into
* Confidence scores are the sum of confidences of all metadata options that cascade into a metadata
*
* For example, if we have the following cascades:
*
* - species:40 -> genus:1
* - species:41 -> genus:1
* - species:42 -> genus:2
* - species:44 -> genus:3
*
* And make the following call
*
* ```js
* computeCascades({
* metadataId: "species",
* confidence: 0.4,
* value: 40,
* alternatives: { "41": 0.3, "42": 0.2, "44": 0.1 }
* })
* ```
*
* We'll get the following cascades, ready for another round of `storeMetadataValue` calls:
*
* ```js
* // Only one object in the array
* // since we only have cascades for a single other metadata
* [
* {
* metadataId: "genus",
* value: "1",
* confidence: 0.7, // 0.4 + 0.3, from species:40 and species:41
* alternatives: {
* "2": 0.2, // from species:42
* "3": 0.1 // from species:44
* }
* }
* ]
* ```
*
* @param {object} param0
* @param {import('./idb.svelte.js').DatabaseHandle} param0.db
* @param {string} param0.metadataId
* @param {number} param0.confidence
* @param {RuntimeValue} param0.value
* @param { Array<{ value: RuntimeValue, confidence: number }> } param0.alternatives
*/
export async function computeCascades({ db, metadataId, confidence, value, alternatives }) {
return await Promise.all(
// List of { value, confidence }, that includes the main value as well as the alternatives
[{ value, confidence }, ...alternatives].map(async ({ confidence, value }) => {
// Get the cascades for the corresponding metadata option
const option = await db.get('MetadataOption', metadataOptionId(metadataId, value));
if (!option?.cascade) return undefined;
const { cascade } = option;
return { cascade, confidence };
})
).then((options) => {
// Combine all cascades that lead to the same metadata option, and sum their confidences
const groupedByOption = groupBy(
// Get a list of { option id, confidence } for every cascaded value,
// the confidence coming from the value that triggers it
options.filter(nonnull).flatMap(({ cascade, confidence }) => {
return entries(cascade).map(([metadataId, value]) => ({
optionId: metadataOptionId(metadataId, value),
confidence
}));
}),
(c) => c.optionId,
(c) => c.confidence
);
// Combine all options of a same metadataId into alternatives.
// The confidence of every option is the sum of confidences of all
// cascades that lead to that option
const groupedByMetadata = groupBy(
groupedByOption.entries(),
([optionId]) => parseMetadataOptionId(optionId).metadataId,
([optionId, confidences]) =>
/** @type {const} */ ({
value: parseMetadataOptionId(optionId).key,
confidence: sum(confidences)
})
);
// Return a list of data ready for storeMetadataValue() for every cascaded metadata
return [...groupedByMetadata.entries()].map(([metadataId, options]) => {
const [{ value, confidence }, ...alternatives] = options.toSorted(
({ confidence: a }, { confidence: b }) => b - a
);
return {
metadataId,
value,
confidence,
alternatives
};
});
});
}
/**
* @typedef {Record<string, Record<string, { value: string; metadata: string; depth: number, color?: string, icon?: string }>>} CascadeLabelsCache
*/
/**
* Resolve (recursively) cascades for the given metadata value, return labels to display
*
* @param {object} param0
* @param {CascadeLabelsCache} param0.cache used to store resolved cascades and avoid recomputing them
* @param {MetadataEnumVariant | undefined} param0.option the currently selected option
* @param {DatabaseHandle} param0.db
* @param {string | undefined} param0.protocolId
*/
export async function cascadeLabels({ cache, protocolId, option, db }) {
Iif (!protocolId) return {};
Iif (!option) return {};
Iif (option.key in cache) {
return cache[option.key];
}
/**
* Subfunction to recursively collect cascades.
* Base case: at some point all options will have no cascades
* @param {string} protocolId
* @param {Record<string, string>} cascade - The cascade we're collecting from
* @param {Set<string>} seen id of metadata already seen, to avoid cycles
* @param {number} [depth=0] - Current depth in the cascade
*/
async function collect(protocolId, cascade, seen, depth = 0) {
/**
* @type {typeof cache[string]} labels
*/
const labels = {};
for (const [metadataId, value] of Object.entries(cascade ?? {})) {
Iif (seen.has(metadataId)) continue; // Avoid cycles
seen.add(metadataId); // Mark this metadataId as seen
const metadata = await db
.get('Metadata', namespacedMetadataId(protocolId, metadataId))
.then((d) => Schemas.Metadata.assert(d));
Iif (!metadata) continue;
// If the cascaded metadata value is from an enum, use label instead of the key,
// and see if there are nested cascades further down
if (metadata.type === 'enum') {
const option = await db.get(
'MetadataOption',
metadataOptionId(namespacedMetadataId(protocolId, metadata.id), value)
);
Iif (!option) continue;
labels[metadata.id] = {
value: option.label,
metadata: metadata.label,
depth,
...pick(option, 'color', 'icon')
};
if (Object.keys(option.cascade ?? {}).length > 0) {
await collect(protocolId, option.cascade ?? {}, seen, depth + 1).then(
(nested) => {
Object.assign(labels, nested);
}
);
}
} else E{
// For other types, just show the value directly
labels[metadata.id] = {
value: value,
metadata: metadata.label,
depth
};
}
}
return labels;
}
cache[option.key] = await collect(protocolId, option.cascade ?? {}, new Set());
// Halve cache when its size reaches 4000
Iif (Object.keys(cache).length > 4000) {
console.debug('Halving cascadeLabels cache');
cache = Object.fromEntries(Object.entries(cache).slice(2000));
}
return cache[option.key];
}
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