traxxx-common/actors.mjs

225 lines
8.4 KiB
JavaScript

function getMostFrequent(items, { slugify }) {
const { mostFrequent } = items.reduce((acc, item) => {
if (item === undefined || item === null) {
return acc;
}
const slug = slugify(item);
acc.counts[slug] = (acc.counts[slug] || 0) + 1;
if (!acc.mostFrequent || acc.counts[slug] > acc.counts[slugify(acc.mostFrequent)]) {
acc.mostFrequent = item;
}
return acc;
}, {
counts: {},
mostFrequent: null,
});
return mostFrequent;
}
function getMostFrequentDate(dates, context) {
const year = getMostFrequent(dates.map((dateX) => dateX.getFullYear()), context);
const month = getMostFrequent(dates.map((dateX) => dateX.getMonth()), context);
const date = getMostFrequent(dates.map((dateX) => dateX.getDate()), context);
if (year === null || month === null || date === null) {
return null;
}
return context.moment({ year, month, date }).toDate();
}
function getHighest(items) {
return items.reduce((prevItem, item) => (item > prevItem ? item : prevItem), null);
}
function getLongest(items) {
return items.sort((itemA, itemB) => itemB.length - itemA.length)[0] || null;
}
function getAverage(items) {
return Math.round(items.reduce((acc, item) => acc + item, 0) / items.length) || null;
}
async function fetchProfiles(actorIdsOrNames, { knex }) {
return knex('actors_profiles')
.select(knex.raw('actors_profiles.*, actors.name, row_to_json(media) as avatar'))
.leftJoin('actors', 'actors.id', 'actors_profiles.actor_id')
.modify((query) => {
if (actorIdsOrNames) {
query
.whereIn('actor_id', actorIdsOrNames.filter((idOrName) => typeof idOrName === 'number'))
.orWhere((builder) => {
builder
.whereIn('actors.name', actorIdsOrNames.filter((idOrName) => typeof idOrName === 'string'))
.whereNull('actors.entity_id');
});
}
})
.leftJoin('media', 'actors_profiles.avatar_media_id', 'media.id');
}
function mergeMainProfile(profile, mainProfile) {
if (!mainProfile) {
return profile;
}
const preservedKeys = ['id'];
const mergedProfile = Object.fromEntries(Object.entries(profile).map(([key, value]) => [key, mainProfile[key] === null || preservedKeys.includes(key)
? value
: mainProfile[key]]));
return mergedProfile;
}
export async function interpolateProfiles(actorIdsOrNames, context, options = {}) {
const profiles = await fetchProfiles(actorIdsOrNames, context);
const columns = await context.knex.table('actors').columnInfo().then((table) => Object.keys(table));
const profilesByActorId = profiles.reduce((acc, profile) => ({
...acc,
[profile.actor_id]: [
...(acc[profile.actor_id] || []),
profile,
],
}), {});
context.logger.info(`Interpolating ${profiles.length} profiles from ${Object.keys(profilesByActorId).length} actors`);
const interpolatedProfiles = Object.entries(profilesByActorId).map(([actorId, actorProfiles]) => {
const mainProfile = actorProfiles.find((actorProfile) => actorProfile.entity_id === null);
if (mainProfile && actorProfiles.length === 1) {
// no other profiles to interpolate
return {
...Object.fromEntries(columns.map((key) => [key, mainProfile[key]])),
id: actorId,
};
}
// group values from each profile
const valuesByProperty = actorProfiles
.filter((profile) => profile.entity_id !== null) // main profile is interpolated separately at the end
.reduce((acc, profile) => Object
.entries(profile)
.reduce((profileAcc, [property, value]) => ({
...profileAcc,
[property]: [
...(acc[property] || []),
...(value === null ? [] : Array.from({ length: profile.priority }, () => value)), // multiply by priority, increasing the odds of being the most frequent value
],
}), {
// bundle location values so they can be assessed together, to ensure the most frequent city is in the most frequent state is in most frequent country
origin: [...acc.origin || [], {
...(profile.birth_country_alpha2 && { country: profile.birth_country_alpha2 }),
...(profile.birth_state && { state: profile.birth_state }),
...(profile.birth_city && { city: profile.birth_city }),
}].filter((location) => Object.keys(location).length > 0),
residence: [...acc.residence || [], {
...(profile.residence_country_alpha2 && { country: profile.residence_country_alpha2 }),
...(profile.residence_state && { state: profile.residence_state }),
...(profile.residence_city && { city: profile.residence_city }),
}].filter((location) => Object.keys(location).length > 0),
}), {});
const profile = {
id: actorId,
};
profile.height = getMostFrequent(valuesByProperty.height.filter((height) => height > 50 && height < 300), context); // remove unlikely values
profile.date_of_birth = getMostFrequentDate(valuesByProperty.date_of_birth, context);
profile.date_of_death = getMostFrequentDate(valuesByProperty.date_of_death, context);
profile.age = getHighest(valuesByProperty.age);
// profile.natural_boobs = profile.gender === 'male' ? null : getMostFrequent(valuesByProperty.natural_boobs, context);
// ensure most frequent country, city and state match up
profile.birth_country_alpha2 = getMostFrequent(valuesByProperty.origin.map((location) => location.country), context);
const remainingOriginCountries = valuesByProperty.origin.filter((location) => location.country === profile.birth_country_alpha2);
profile.birth_state = getMostFrequent(remainingOriginCountries.map((location) => location.state), context);
const remainingOriginStates = remainingOriginCountries.filter((location) => !profile.birth_state || location.state === profile.birth_state);
profile.birth_city = getMostFrequent(remainingOriginStates.map((location) => location.city), context);
profile.residence_country_alpha2 = getMostFrequent(valuesByProperty.residence.map((location) => location.country), context);
const remainingResidenceCountries = valuesByProperty.residence.filter((location) => location.country === profile.residence_country_alpha2);
profile.residence_state = getMostFrequent(remainingResidenceCountries.map((location) => location.state), context);
const remainingResidenceStates = remainingResidenceCountries.filter((location) => !profile.residence_state || location.state === profile.residence_state);
profile.residence_city = getMostFrequent(remainingResidenceStates.map((location) => location.city), context);
profile.weight = getAverage(valuesByProperty.weight);
profile.tattoos = getLongest(valuesByProperty.tattoos);
profile.piercings = getLongest(valuesByProperty.piercings);
profile.avatar_media_id = actorProfiles
.map((actorProfile) => actorProfile.avatar)
.filter((avatar) => avatar && (avatar.entropy === null || avatar.entropy > 5.5))
.sort((avatarA, avatarB) => avatarB.height - avatarA.height)[0]?.id || null;
if (!profile.avatar_media_id) {
// try to settle for low quality avatar
profile.avatar_media_id = actorProfiles
.map((actorProfile) => actorProfile.avatar)
.filter((avatar) => avatar)
.sort((avatarA, avatarB) => avatarB.height - avatarA.height)[0]?.id || null;
}
columns.forEach((key) => {
// generic handling for remaining properties
if (Object.hasOwn(valuesByProperty, key) && !Object.hasOwn(profile, key)) {
profile[key] = getMostFrequent(valuesByProperty[key], context);
}
});
return mergeMainProfile(profile, mainProfile);
});
const transaction = await context.knex.transaction();
// clear existing interpolated data
const preservedKeys = ['id', 'name', 'slug', 'entity_id', 'entry_id'];
const emptyProfile = Object.fromEntries(columns.filter((key) => !preservedKeys.includes(key)).map((key) => [key, null]));
await context.knex('actors')
.modify((modifyBuilder) => {
if (actorIdsOrNames) {
modifyBuilder
.whereIn('id', actorIdsOrNames.filter((idOrName) => typeof idOrName === 'number'))
.orWhere((whereBuilder) => {
whereBuilder
.whereIn('name', actorIdsOrNames.filter((idOrName) => typeof idOrName === 'string'))
.whereNull('entity_id');
});
}
})
.update(emptyProfile)
.transacting(transaction);
// insert new interpolated data
const queries = interpolatedProfiles.map(async (profile) => context.knex('actors')
.where('id', profile.id)
.update(profile)
.transacting(transaction));
await Promise.all(queries)
.then(transaction.commit)
.catch(async (error) => {
context.logger.error(error);
return transaction.rollback();
});
if (options.refreshView) {
await context.knex.schema.refreshMaterializedView('actors_meta');
}
}