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https://github.com/MBombeck/HealthLog.git
synced 2026-11-14 22:50:51 +00:00
fix(import): match HealthLog's own samples by row id and ask for mirrors per type
A sample the app wrote before the origin marker existed still carries the HealthLog row id as HKExternalUUID. A hit on one of the account's rows of the same kind now leaves it out exactly, for Withings and import mirrors as well as manual ones; either id of a blood pressure pair covers both halves, since the app stamps both samples of a reading with one id. The manual-mirror lookup read one OR clause per row on every batch, even for an account without a single MANUAL row. The types that hold MANUAL rows are now read once per import; a batch asks nothing for any other type, and one time window per type for those. Cycle samples carry the marker too and are now left out like the rest, and a sample the export repeats (a correlation's records also stand on their own) is counted once.
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@@ -122,11 +122,17 @@ export interface ImportJobResult {
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clinical: { skipped: number };
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/**
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* Records left out because HealthLog wrote them into Apple Health itself and
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* already holds them under their own source: `byMarker` carry the app's
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* origin marker, `matchedManual` match a manual entry (same type and value,
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* within 2 s) from before the marker existed.
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* already holds them under their own source, each counted once however often
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* the export repeats it: `byMarker` carry the app's origin marker,
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* `byExternalId` carry a HealthLog row id as `HKExternalUUID` (samples from
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* before the marker existed), `matchedManual` match a manual entry (same type
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* and value, within 2 s) without either.
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*/
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writtenByHealthLog: { byMarker: number; matchedManual: number };
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writtenByHealthLog: {
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byMarker: number;
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byExternalId: number;
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matchedManual: number;
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};
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/**
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* v1.15.0 — reproductive HealthKit samples routed into CYCLE day-logs
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* (NOT Measurement). Absent / zeroed when the account has no cycle
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@@ -175,6 +181,29 @@ interface PreparedMeasurement {
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deviceType: string | null;
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}
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/**
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* A quantity `<Record>` read up to its open tag. Its contribution is committed
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* at the close tag, once its `<MetadataEntry>` children have been read.
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*/
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interface PendingRecord {
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/** Queue the record; `healthLogId` is the `HKExternalUUID` it carried. */
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commit: (healthLogId: string | null) => void;
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ownOrigin: boolean;
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healthLogId: string | null;
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/** The record's sample identity, computed only when it is left out. */
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sampleKey: () => string;
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}
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/** Apple's export name for `HKMetadataKeyExternalUUID`. */
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const HK_EXTERNAL_UUID_METADATA_KEY = "HKExternalUUID";
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/** The two halves of a blood pressure reading are one kind for an id match. */
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function kindOf(type: MeasurementType): string {
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return type === "BLOOD_PRESSURE_SYS" || type === "BLOOD_PRESSURE_DIA"
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? "BLOOD_PRESSURE"
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: type;
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}
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/** Flush row written to the `Workout` table. */
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interface PreparedWorkout {
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userId: string;
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@@ -417,6 +446,8 @@ export async function streamParseExportXml(
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dayKey: string;
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rawValue: string | undefined;
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protectionUsed?: boolean;
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sampleKey: string;
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ownOrigin: boolean;
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} | null = null;
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// Cumulative fold: type -> local day -> hashed source identity -> subtotal.
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@@ -427,14 +458,27 @@ export async function streamParseExportXml(
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// A record's contribution is committed at its close tag, once its child
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// `<MetadataEntry>` rows are read: one of them can mark the sample as written
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// by HealthLog itself, which has to keep it out of the import.
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let pendingRecord: { commit: () => void; ownOrigin: boolean } | null = null;
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const writtenByHealthLog = { byMarker: 0, matchedManual: 0 };
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let pendingRecord: PendingRecord | null = null;
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const writtenByHealthLog = { byMarker: 0, byExternalId: 0, matchedManual: 0 };
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// An export can carry the same sample twice (a correlation's records also
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// stand on their own), so a left-out sample is counted by its sample key.
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const countedOwn = new Set<string>();
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const countOwn = (
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reason: keyof typeof writtenByHealthLog,
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sampleKey: string,
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): void => {
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if (countedOwn.has(sampleKey)) return;
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countedOwn.add(sampleKey);
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writtenByHealthLog[reason] += 1;
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};
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// The `HKExternalUUID` a queued spot row carried, checked at flush.
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const healthLogIdOf = new Map<PreparedMeasurement, string>();
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// A `<Correlation>` (a blood pressure reading) wraps its records, and the
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// marker may sit on the correlation itself, before or after them. Its records
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// are held until it closes, then all kept or all left out together.
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let currentCorrelation: {
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ownOrigin: boolean;
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held: Array<{ commit: () => void; ownOrigin: boolean }>;
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held: PendingRecord[];
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} | null = null;
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// Spot-row batch awaiting flush.
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const spotBatch: PreparedMeasurement[] = [];
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@@ -492,54 +536,134 @@ export async function streamParseExportXml(
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};
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// ── Flush helpers ──────────────────────────────────────────
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// A manual entry the app mirrored into Apple Health before it stamped its
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// origin marker comes back in the export as a second copy of the reading.
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// Leave it out when a MANUAL row of the same type and value sits within 2 s.
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// Only MANUAL: Withings and import rows reach Apple Health through the app's
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// mirror, which always sets the marker, so a value-and-time match against
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// them would only add false positives. Same rule and tolerance as the sync
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// path (`cross-source-merge.ts`).
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// A sample the app wrote before it stamped its origin marker still carries
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// the HealthLog row id as `HKExternalUUID`. A hit on one of this account's
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// rows (deleted ones included: the sample is ours either way) of the same
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// kind is an exact match. Blood pressure is one row per half, while the app
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// stamps both samples of a reading with one id (the systolic row's, the
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// diastolic row's in older builds), so either half matches either id.
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const withoutHealthLogIds = async (
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rows: PreparedMeasurement[],
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): Promise<PreparedMeasurement[]> => {
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const ids = new Set<string>();
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for (const row of rows) {
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const id = healthLogIdOf.get(row);
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if (id) ids.add(id);
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}
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if (ids.size === 0) return rows;
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const known = await prisma.measurement.findMany({
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where: { userId, id: { in: [...ids] } },
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select: { id: true, type: true },
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});
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if (known.length === 0) return rows;
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const typeOf = new Map(known.map((row) => [row.id, row.type]));
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return rows.filter((row) => {
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const id = healthLogIdOf.get(row);
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const rowType = id ? typeOf.get(id) : undefined;
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if (!rowType || kindOf(rowType) !== kindOf(row.type)) return true;
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countOwn("byExternalId", row.externalId);
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return false;
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});
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};
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// A manual entry mirrored with neither the marker nor an id comes back as a
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// second copy of the reading. Leave it out when a MANUAL row of the same
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// type and value sits within 2 s. Only MANUAL: Withings and import rows are
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// written into Apple Health by the server-to-Health mirror, which has always
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// stamped the row id, so a value-and-time match against them would only add
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// false positives. Same rule and tolerance as the sync path
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// (`cross-source-merge.ts`).
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//
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// The types that hold MANUAL rows are read once per import, so a batch of a
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// type the account never typed in asks nothing, and a batch that does asks
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// one time window per type rather than one clause per row.
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let manualTypes: Promise<Set<MeasurementType>> | null = null;
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const withoutManualMirrors = async (
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rows: PreparedMeasurement[],
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): Promise<PreparedMeasurement[]> => {
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if (rows.length === 0) return rows;
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manualTypes ??= prisma.measurement
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.groupBy({
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by: ["type"],
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where: { userId, source: "MANUAL", deletedAt: null },
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})
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.then((groups) => new Set(groups.map((group) => group.type)));
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const typed = await manualTypes;
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const windows = new Map<MeasurementType, { from: number; to: number }>();
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for (const row of rows) {
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if (!typed.has(row.type)) continue;
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const at = row.measuredAt.getTime();
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const window = windows.get(row.type);
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if (!window) windows.set(row.type, { from: at, to: at });
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else {
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if (at < window.from) window.from = at;
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if (at > window.to) window.to = at;
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}
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}
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if (windows.size === 0) return rows;
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const candidates = await prisma.measurement.findMany({
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where: {
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userId,
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source: "MANUAL",
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deletedAt: null,
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OR: rows.map((row) => ({
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type: row.type,
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OR: [...windows].map(([type, window]) => ({
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type,
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measuredAt: {
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gte: new Date(row.measuredAt.getTime() - MEASURED_AT_TOLERANCE_MS),
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lte: new Date(row.measuredAt.getTime() + MEASURED_AT_TOLERANCE_MS),
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gte: new Date(window.from - MEASURED_AT_TOLERANCE_MS),
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lte: new Date(window.to + MEASURED_AT_TOLERANCE_MS),
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},
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})),
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},
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select: { type: true, source: true, value: true, measuredAt: true },
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orderBy: { measuredAt: "asc" },
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});
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if (candidates.length === 0) return rows;
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const byType = new Map<MeasurementType, typeof candidates>();
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for (const candidate of candidates) {
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const list = byType.get(candidate.type);
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if (list) list.push(candidate);
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else byType.set(candidate.type, [candidate]);
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}
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return rows.filter((row) => {
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const mirrored = candidates.some((candidate) =>
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isSameReadingAcrossSource(
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const list = byType.get(row.type);
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if (!list) return true;
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const at = row.measuredAt.getTime();
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// First candidate not earlier than the tolerance window.
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let lo = 0;
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let hi = list.length;
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while (lo < hi) {
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const mid = (lo + hi) >> 1;
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if (list[mid].measuredAt.getTime() < at - MEASURED_AT_TOLERANCE_MS)
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lo = mid + 1;
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else hi = mid;
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}
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for (let i = lo; i < list.length; i++) {
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if (list[i].measuredAt.getTime() > at + MEASURED_AT_TOLERANCE_MS) break;
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const mirrored = isSameReadingAcrossSource(
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{
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type: row.type,
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source: "APPLE_HEALTH",
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value: row.value,
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measuredAt: row.measuredAt,
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},
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candidate,
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),
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);
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if (mirrored) writtenByHealthLog.matchedManual += 1;
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return !mirrored;
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list[i],
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);
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if (mirrored) {
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countOwn("matchedManual", row.externalId);
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return false;
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}
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}
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return true;
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});
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};
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const flushSpotBatch = async (): Promise<void> => {
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if (spotBatch.length === 0) return;
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const incoming = spotBatch.splice(0, spotBatch.length);
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const chunk = await withoutManualMirrors(incoming);
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const chunk = await withoutManualMirrors(
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await withoutHealthLogIds(incoming),
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);
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for (const row of incoming) healthLogIdOf.delete(row);
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for (const row of chunk) widenSpan(row.measuredAt);
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const insertedArrivals: Array<{
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id: string;
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@@ -916,7 +1040,18 @@ export async function streamParseExportXml(
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Date.parse(attrs.endDate ?? attrs.startDate ?? ""),
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)
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? null
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: { hkType, dayKey, rawValue: attrs.value };
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: {
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hkType,
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dayKey,
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rawValue: attrs.value,
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sampleKey: hashSampleKey(
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hkType,
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attrs.value ?? "",
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attrs.startDate,
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attrs.endDate,
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),
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ownOrigin: false,
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};
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return;
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}
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@@ -978,7 +1113,15 @@ export async function streamParseExportXml(
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pendingRecord = {
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ownOrigin: false,
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commit: () => {
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healthLogId: null,
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sampleKey: () =>
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hashSampleKey(
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hkType,
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attrs.value ?? "",
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attrs.startDate,
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attrs.endDate,
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),
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commit: (healthLogId) => {
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if (CUMULATIVE_HK_TYPES.has(mapped.type)) {
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const dayKey = dayKeyForUserTz(mapped.takenAt, userTimezone);
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const sourceHash = hashCumulativeSourceIdentity(
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@@ -1007,7 +1150,7 @@ export async function streamParseExportXml(
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attrs.startDate,
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attrs.endDate,
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);
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spotBatch.push({
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const row: PreparedMeasurement = {
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userId,
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type: mapped.type,
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value: mapped.value,
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@@ -1017,7 +1160,9 @@ export async function streamParseExportXml(
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externalSourceVersion: attrs.sourceVersion ?? null,
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sleepStage: mapped.sleepStage ?? null,
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deviceType: null,
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});
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};
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spotBatch.push(row);
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if (healthLogId) healthLogIdOf.set(row, healthLogId);
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}
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},
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};
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@@ -1107,8 +1252,12 @@ export async function streamParseExportXml(
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if (isHealthLogOriginEntry(attrs.key, attrs.value)) {
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// On a record, or on the correlation that wraps it.
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if (pendingRecord) pendingRecord.ownOrigin = true;
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else if (currentCycleRecord) currentCycleRecord.ownOrigin = true;
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else if (currentCorrelation) currentCorrelation.ownOrigin = true;
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}
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if (pendingRecord && attrs.key === HK_EXTERNAL_UUID_METADATA_KEY) {
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pendingRecord.healthLogId = attrs.value || null;
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}
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// Attach the SexualActivity protection flag to the open cycle record.
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// Apple writes `HKMetadataKeySexualActivityProtectionUsed` with a
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// `"0"`/`"1"` (or `"true"`/`"false"`) value.
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@@ -1157,17 +1306,17 @@ export async function streamParseExportXml(
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const rec = pendingRecord;
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pendingRecord = null;
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if (currentCorrelation) currentCorrelation.held.push(rec);
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else if (rec.ownOrigin) writtenByHealthLog.byMarker += 1;
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else rec.commit();
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else if (rec.ownOrigin) countOwn("byMarker", rec.sampleKey());
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else rec.commit(rec.healthLogId);
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}
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if (tagName === "Correlation" && currentCorrelation) {
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const correlation = currentCorrelation;
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currentCorrelation = null;
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for (const rec of correlation.held) {
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if (correlation.ownOrigin || rec.ownOrigin) {
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writtenByHealthLog.byMarker += 1;
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countOwn("byMarker", rec.sampleKey());
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} else {
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rec.commit();
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rec.commit(rec.healthLogId);
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}
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}
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}
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@@ -1178,6 +1327,11 @@ export async function streamParseExportXml(
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if (tagName === "Record" && currentCycleRecord) {
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const rec = currentCycleRecord;
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currentCycleRecord = null;
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if (rec.ownOrigin) {
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// A day HealthLog mirrored into Apple Health from its own day-log.
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countOwn("byMarker", rec.sampleKey);
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return;
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}
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const consumed = cycleAccumulator.consume(
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rec.hkType,
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rec.dayKey,
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