path: root/node_modules/@jet-app/app-store/tmp/src/common/personalization/on-device-personalization-processing.js

import { isNothing } from "@jet/environment";
import * as serverData from "../../foundation/json-parsing/server-data";
import { diversifyDataItems, getOrderedAppIds, getUpdatedScoreAfterBoosting, PersonalizedData, } from "./on-device-recommendations-common";
/**
 * This utility class simplifies processing the raw data, by decorating with some key properties.
 *  */
class PersonalizedDataDefault extends PersonalizedData {
    constructor(rawData) {
        super();
        this.rawData = rawData;
        this.isExactMatch = false;
        this.isWildcardMatch = false;
        this.isUnpersonalizedMatch = false;
        this.isFallbackMatch = false;
        this.appId = null;
        this.groupId = null;
        this.score = 0;
        this.modifiedScore = 0;
        this.onDeviceScore = 0;
    }
}
// Represents a "match all" wildcard segment. Any data items that have this segment are always considered a match.
const alwaysMatchUserSegment = "-1";
/**
 * Converts a list of raw data blobs into a list that has been personalized for the user, based upon on device personalization data.
 *
 * If use_segment_scores is true, the rules we follow here are:
 * 1. Choose the data items that have personalization segments which match the user
 * 2. Remove some data items so that there is only one per group
 * 3. Bring any data items where the user exactly matches the personalization segment to the front of the list
 *
 * If needed, we may also include fallback results to reach a preferred number of results. For any group where no matches are found, the last
 * item in that group can be used as a fallback. We can only ever have one item per group, so it may not always be possible to reach the
 * preferred number of results.
 *
 * If use_signals is true, we rerank content using the on-device scores
 *
 * @param dataItems The raw data blobs.
 * @param onDevicePersonalizationDataContainer The on device personalization data container for the user, used for matching segments against the dataItems.
 * @param includeItemsWithNoPersonalizationData Whether dataItems without any valid personalization data should always be included in the results.
 * @param allowUnmatchedFallbackResults Whether to allow fallback results to be included in the results. This will only be utilised in order to reach a preferredResultCount.
 * @param preferredResultCount The preferred number of items to be included in the results.
 * @param parentAppId An optional appID, which is the parent for all the dataItems. Currently only used for search.
 * @param diversify An optional flag that determines if we should diverse the personalized results on the basis of server side apps ranking
 * @returns The personalized set of data. This will be a subset (or all) of the original dataItems, and metrics data.
 */
export function personalizeDataItems(objectGraph, dataItems, onDevicePersonalizationDataContainer, includeItemsWithNoPersonalizationData, allowUnmatchedFallbackResults, preferredResultCount, parentAppId, diversify) {
    var _a;
    let sortResult = { sortedDataItems: [], processingType: 0 };
    const useSignals = (_a = onDevicePersonalizationDataContainer === null || onDevicePersonalizationDataContainer === void 0 ? void 0 : onDevicePersonalizationDataContainer.metricsData["use_signals"]) !== null && _a !== void 0 ? _a : false;
    if (!useSignals) {
        // First decorate our raw dataItems with segment and group information
        const personalizedDataItems = personalizedDataItemsFromDataItems(objectGraph, dataItems, onDevicePersonalizationDataContainer === null || onDevicePersonalizationDataContainer === void 0 ? void 0 : onDevicePersonalizationDataContainer.personalizationData, includeItemsWithNoPersonalizationData, parentAppId);
        // Get server side ordering of app Ids to be used for diversification
        const serverSideAppIdsOrdering = getOrderedAppIds(personalizedDataItems);
        // Now iterate through the list of personalizedDataItems, and choose one per group
        const matchedDataItemsIncludingFallback = filterDataItemsIntoOnePerGroup(objectGraph, personalizedDataItems);
        // Now sort the data items, respecting our preferredResultCount if needed
        sortResult = sortDataItems(objectGraph, matchedDataItemsIncludingFallback, allowUnmatchedFallbackResults, serverSideAppIdsOrdering, preferredResultCount, diversify);
    }
    else {
        // First decorate our raw dataItems with frequency, recency, usage information
        const personalizedDataItems = personalizedDataItemsFromDataItemsOnDeviceSignals(objectGraph, dataItems, onDevicePersonalizationDataContainer === null || onDevicePersonalizationDataContainer === void 0 ? void 0 : onDevicePersonalizationDataContainer.personalizationData, includeItemsWithNoPersonalizationData, parentAppId);
        // Now sort the data items
        const sortedDataItems = getUpdatedScoreAfterBoosting(personalizedDataItems, onDevicePersonalizationDataContainer === null || onDevicePersonalizationDataContainer === void 0 ? void 0 : onDevicePersonalizationDataContainer.metricsData);
        const orderWasNotChanged = personalizedDataItems.every((dataItem, index) => {
            return dataItem === sortedDataItems[index];
        });
        sortResult = {
            sortedDataItems: sortedDataItems,
            processingType: orderWasNotChanged
                ? 0 /* onDevicePersonalization.ProcessingType.contentsNotChanged */
                : 2 /* onDevicePersonalization.ProcessingType.contentsSorted */,
        };
        if (serverData.isDefinedNonNull(preferredResultCount) &&
            sortResult.sortedDataItems.length >= preferredResultCount) {
            sortResult.sortedDataItems = sortResult.sortedDataItems.slice(0, preferredResultCount);
        }
    }
    // We only need to return the raw data blobs, so remove the personalization decoration
    const finalDataItems = sortResult.sortedDataItems.map((personalizedDataItem) => personalizedDataItem.rawData);
    // Generate the processing type value
    const filterType = dataItems.length !== finalDataItems.length
        ? 1 /* onDevicePersonalization.ProcessingType.contentsFiltered */
        : 0 /* onDevicePersonalization.ProcessingType.contentsNotChanged */;
    const processingType = filterType + sortResult.processingType;
    return {
        personalizedData: finalDataItems,
        processingType: processingType,
    };
}
/**
 * Creates a list of `PersonalizedData` objects, based on the input raw data items.
 *
 * @param dataItems The raw data blobs.
 * @param onDevicePersonalizationData The on device personalization data, used for matching personalization segments against the dataItems.
 * @param includeItemsWithNoPersonalizationData Whether dataItems without any valid personalization data should be included in the results.
 * @param parentAppId An optional appID, which is the parent for all the dataItems. Currently only used for search.
 * @returns A list of PersonalizedData objects.
 */
function personalizedDataItemsFromDataItemsOnDeviceSignals(objectGraph, dataItems, onDevicePersonalizationData, includeItemsWithNoPersonalizationData, parentAppId) {
    const personalizedDataItems = [];
    for (const data of dataItems) {
        const personalizedData = new PersonalizedDataDefault(data);
        // Filter out invalid data
        const score = serverData.asNumber(data, "meta.personalizationData.score");
        let appId = serverData.asString(data, "meta.personalizationData.appId");
        if ((isNothing(appId) || appId.length === 0) && (parentAppId === null || parentAppId === void 0 ? void 0 : parentAppId.length) > 0) {
            // If we have a parentAppId this means we are coming from search, where `appId` is not provided.
            appId = parentAppId;
        }
        if (isNothing(appId) || appId.length === 0) {
            // Personalization data is missing or invalid. This may sometimes be valid, eg. evergreen today stories for when reco times out.
            if (includeItemsWithNoPersonalizationData) {
                personalizedData.isUnpersonalizedMatch = true;
                personalizedDataItems.push(personalizedData);
            }
            continue;
        }
        if (serverData.isDefinedNonNull(onDevicePersonalizationData)) {
            const onDevicePersonalizationDataForApp = onDevicePersonalizationData[appId];
            if (serverData.isDefinedNonNull(onDevicePersonalizationDataForApp) &&
                serverData.isDefinedNonNull(onDevicePersonalizationDataForApp.onDeviceSignals)) {
                personalizedData.onDeviceScore = +onDevicePersonalizationDataForApp.onDeviceSignals;
            }
        }
        personalizedData.appId = appId;
        personalizedData.score = score !== null && score !== void 0 ? score : 0;
        personalizedDataItems.push(personalizedData);
    }
    return personalizedDataItems;
}
/**
 * Creates a list of `PersonalizedData` objects, based on the input raw data items.
 *
 * @param dataItems The raw data blobs.
 * @param onDevicePersonalizationData The on device personalization data, used for matching personalization segments against the dataItems.
 * @param includeItemsWithNoPersonalizationData Whether dataItems without any valid personalization data should be included in the results.
 * @param parentAppId An optional appID, which is the parent for all the dataItems. Currently only used for search.
 * @returns A list of PersonalizedData objects.
 */
function personalizedDataItemsFromDataItems(objectGraph, dataItems, onDevicePersonalizationData, includeItemsWithNoPersonalizationData, parentAppId) {
    const personalizedDataItems = [];
    for (const data of dataItems) {
        const personalizedData = new PersonalizedDataDefault(data);
        // Filter out invalid data
        const rawDataUserSegments = serverData.asString(data, "meta.personalizationData.segId");
        let appId = serverData.asString(data, "meta.personalizationData.appId");
        let groupId = serverData.asString(data, "meta.personalizationData.grpId");
        if ((isNothing(appId) || appId.length === 0) && (parentAppId === null || parentAppId === void 0 ? void 0 : parentAppId.length) > 0) {
            // If we have a parentAppId this means we are coming from search, where `appId` and `grpId` are not provided.
            // Normally we filter our data items to only allow one item per group, so in this case we allocate a random
            // group ID, so that none of the data items get filtered out for that reason. Later on as part of search
            // results processing we will pick the first (valid) result, but only after ODP has finished.
            appId = parentAppId;
            groupId = objectGraph.random.nextUUID();
        }
        if (serverData.isNullOrEmpty(rawDataUserSegments) ||
            serverData.isNullOrEmpty(appId) ||
            serverData.isNullOrEmpty(groupId)) {
            // Personalization data is missing or invalid. This may sometimes be valid, eg. evergreen today stories for when reco times out.
            if (includeItemsWithNoPersonalizationData) {
                personalizedData.isUnpersonalizedMatch = true;
                personalizedDataItems.push(personalizedData);
            }
            continue;
        }
        // Check if the data has the match all user segment
        const dataUserSegments = rawDataUserSegments.split(",");
        if (dataUserSegments.includes(alwaysMatchUserSegment)) {
            personalizedData.isWildcardMatch = true;
        }
        // Check if any of the data segments match with the on device personalization data
        if (serverData.isDefinedNonNull(onDevicePersonalizationData)) {
            const onDevicePersonalizationDataForApp = onDevicePersonalizationData[appId];
            if (serverData.isDefinedNonNull(onDevicePersonalizationDataForApp)) {
                for (const dataUserSegment of dataUserSegments) {
                    if (onDevicePersonalizationDataForApp.userSegments.includes(dataUserSegment)) {
                        personalizedData.isExactMatch = true;
                        break;
                    }
                }
            }
        }
        personalizedData.appId = appId;
        personalizedData.groupId = groupId;
        personalizedDataItems.push(personalizedData);
    }
    return personalizedDataItems;
}
/**
 * Iterates through the list of given data items, and ensures we only have one per group.
 *
 * @param dataItems The data items to processed.
 * @returns A subset of dataItems, with only one dataItem per group.
 */
function filterDataItemsIntoOnePerGroup(objectGraph, dataItems) {
    var _a;
    const filledGroupIds = new Set();
    const matchedDataItemsIncludingMultipleFallbacksPerGroup = [];
    // Determine which groups have any exact matches
    const groupIdsWithExactMatchesArray = dataItems
        .filter((dataItem) => {
        return dataItem.isExactMatch;
    })
        .map((dataItem) => {
        return dataItem.groupId;
    });
    const groupIdsWithExactMatches = new Set(groupIdsWithExactMatchesArray);
    // Now iterate through our data items, and filter out any we don't need
    dataItems.forEach((dataItem, index) => {
        // If an item has no group, we always include it. This would only happen for
        // data which is missing valid personalization metadata, and we have specifically
        // opted in to including these items in the results.
        if (serverData.isNullOrEmpty(dataItem.groupId)) {
            matchedDataItemsIncludingMultipleFallbacksPerGroup.push(dataItem);
            return;
        }
        // We already have a match for this group, so move onto the next item
        if (filledGroupIds.has(dataItem.groupId)) {
            return;
        }
        // This item is an unpersonalized match, which will only occur if we permit this.
        // These are always added to the result set.
        if (dataItem.isUnpersonalizedMatch) {
            matchedDataItemsIncludingMultipleFallbacksPerGroup.push(dataItem);
            return;
        }
        // This item is the first exact match for this group, so add it into our result set
        if (dataItem.isExactMatch) {
            filledGroupIds.add(dataItem.groupId);
            matchedDataItemsIncludingMultipleFallbacksPerGroup.push(dataItem);
            return;
        }
        // If we know we have an exact match somewhere else for this group, we can just
        // continue on to the next item, as the exact match will be picked later.
        if (groupIdsWithExactMatches.has(dataItem.groupId)) {
            return;
        }
        // We have no exact matches for this group, so we can now take wildcard matches.
        if (dataItem.isWildcardMatch) {
            filledGroupIds.add(dataItem.groupId);
            matchedDataItemsIncludingMultipleFallbacksPerGroup.push(dataItem);
            return;
        }
        // This item is not a match. As we don't have any matches for this group yet,
        // we can mark it as a fallback. This does not necessarily mean it will be used,
        // but it does mean it becomes available for use. groupIDs are not necessarily in
        // sequential order, so we mark all of these as fallbacks, and filter them further below.
        dataItem.isFallbackMatch = true;
        matchedDataItemsIncludingMultipleFallbacksPerGroup.push(dataItem);
    });
    // We now need to remove all the fallback items except for the last one in each group, so iterate
    // through in reverse order and filter out any duplicates
    const matchedDataItemsWithOneFallbackPerGroup = [];
    const reversedMatchedDataItems = matchedDataItemsIncludingMultipleFallbacksPerGroup.slice().reverse();
    for (const dataItem of reversedMatchedDataItems) {
        if (dataItem.isFallbackMatch) {
            if (filledGroupIds.has(dataItem.groupId)) {
                continue;
            }
        }
        matchedDataItemsWithOneFallbackPerGroup.push(dataItem);
        if (((_a = dataItem.groupId) === null || _a === void 0 ? void 0 : _a.length) > 0) {
            filledGroupIds.add(dataItem.groupId);
        }
    }
    // Return to our original order
    matchedDataItemsWithOneFallbackPerGroup.reverse();
    return matchedDataItemsWithOneFallbackPerGroup;
}
/**
 * Sorts the given list of data items, and optionally restricts the list to a specified number of results.
 *
 * @param dataItems The data items to process.
 * @param allowUnmatchedFallbackResults Whether to allow fallback results to be included in the results. This will only be utilised in order to reach a preferredResultCount.
 * @param preferredResultCount? The preferrd number of results.
 * @param serverSideAppIdsOrdering List of ordered app ids from server side
 * @param diversify An optional flag that determines if we should diverse the personalized results on the basis of server side apps ranking
 * @returns The sorted list of dataItems, optionally restricted in length,
 */
function sortDataItems(objectGraph, dataItems, allowUnmatchedFallbackResults, serverSideAppIdsOrdering, preferredResultCount, diversify) {
    let sortResult;
    // Excluding fallback results is the preferred route, but if the number of results is less than our preferredResultCount, we will need to use the fallback results.
    const dataItemsWithoutFallback = dataItems.filter((data) => data.isExactMatch || data.isWildcardMatch || data.isUnpersonalizedMatch || serverData.isNull(data.groupId));
    if (serverData.isNull(preferredResultCount)) {
        // There is no preferred number of results, so simply perform our final sort and then return
        sortResult = sortAndDiversify(dataItemsWithoutFallback, serverSideAppIdsOrdering, diversify);
    }
    else if (dataItemsWithoutFallback.length >= preferredResultCount || !allowUnmatchedFallbackResults) {
        // There is a preferred number of results, but we either have enough items without needing to utilise
        // any fallback matches, or we don't allow fallback results.
        sortResult = sortAndDiversify(dataItemsWithoutFallback, serverSideAppIdsOrdering, diversify);
        sortResult.sortedDataItems = sortResult.sortedDataItems.slice(0, preferredResultCount);
    }
    else {
        // There is a preferred number of results, and we need to use fallback matches in order to
        // meet this number. We may still fall short, but this gets us as close as possible.
        sortResult = sortAndDiversify(dataItems, serverSideAppIdsOrdering, diversify);
        sortResult.sortedDataItems = sortResult.sortedDataItems.slice(0, preferredResultCount);
    }
    return sortResult;
}
/**
 * Rearranges a list of dataItems, so that any where there is an exact segment match are moved to the front of the list.
 *
 * @param dataItems The data items to process.
 * @param serverSideAppIdsOrdering List of ordered app ids from server side
 * @param diversify An optional flag that determines if we should diverse the personalized results on the basis of server side apps ranking
 * @returns The sorted list of data items.
 */
function sortAndDiversify(dataItems, serverSideAppIdsOrdering, diversify) {
    const exactMatchDataItems = dataItems.filter((value) => value.isExactMatch);
    let otherDataItems = dataItems.filter((value) => !value.isExactMatch);
    if (serverData.isDefinedNonNull(diversify) && diversify) {
        otherDataItems = diversifyDataItems(otherDataItems, serverSideAppIdsOrdering);
    }
    const sortedDataItems = exactMatchDataItems.concat(otherDataItems);
    const orderWasNotChanged = dataItems.every((dataItem, index) => {
        return dataItem === sortedDataItems[index];
    });
    return {
        sortedDataItems: sortedDataItems,
        processingType: orderWasNotChanged
            ? 0 /* onDevicePersonalization.ProcessingType.contentsNotChanged */
            : 2 /* onDevicePersonalization.ProcessingType.contentsSorted */,
    };
}
/**
 * Filters a list of raw data blobs into a list which only includes non-personalized data, or data that is set to "match all".
 *
 * @param dataItems The raw data blobs.
 * @param preferredResultCount The preferred number of items to be included in the results.
 * @returns The filtered set of data blobs. This will be a subset (or all) of the original dataItems.
 */
export function removePersonalizedDataItems(objectGraph, dataItems, preferredResultCount) {
    let filteredDataItems = [];
    const filledGroupIds = new Set();
    for (const data of dataItems) {
        // If the personalization data is invalid or empty, we keep this in our result set.
        const rawDataUserSegments = serverData.asString(data, "meta.personalizationData.segId");
        const appId = serverData.asString(data, "meta.personalizationData.appId");
        const groupId = serverData.asString(data, "meta.personalizationData.grpId");
        if (serverData.isNullOrEmpty(rawDataUserSegments) ||
            serverData.isNullOrEmpty(appId) ||
            serverData.isNullOrEmpty(groupId)) {
            filteredDataItems.push(data);
            continue;
        }
        // We already have a match for this group, so move onto the next item
        if (filledGroupIds.has(groupId)) {
            continue;
        }
        // If the data has a match all user segment, we keep this in our result set.
        const dataUserSegments = rawDataUserSegments.split(",");
        if (dataUserSegments.includes(alwaysMatchUserSegment)) {
            filteredDataItems.push(data);
            filledGroupIds.add(groupId);
        }
    }
    // Finally, if we have a preferredResultCount which is smaller than our result set, trim our results down to this count
    if (serverData.isDefinedNonNull(preferredResultCount) && filteredDataItems.length > preferredResultCount) {
        filteredDataItems = filteredDataItems.slice(0, preferredResultCount);
    }
    return {
        personalizedData: filteredDataItems,
        processingType: null,
    };
}
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