Data dictionary and roll-ups

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When Write Data Dictionary is enabled (the default), Health.md writes _healthmd_data_dictionary.json beside daily exports. It tells people and software how to interpret flat summary/frontmatter keys without guessing units or aggregation behavior. Turning the setting off omits the sidecar without changing daily or roll-up files.

The dictionary describes summary projections and compact lossless diagnostics. It does not replace the canonical archive schema.

Dictionary entry

Field	Type	Meaning
`key`	string	Actual output key after user key style/rename.
`canonicalKey`	string	Stable Health.md flat summary key.
`metricId`	string	Metric-selection identifier.
`displayName`	string	User-facing metric name.
`category`	string	Health.md metric category.
`unit`	string	Canonical structured summary unit; empty for list/category-like values.
`healthKitIdentifier`	optional string	Primary source identifier where one exists.
`metricType`	string	`quantity`, `category`, `workout`, or diagnostic.
`aggregation`	string	Compatibility alias for `dailyAggregation`.
`dailyAggregation`	string	Rule used to produce the daily value.
`healthKitAggregation`	string	Source-definition aggregation behavior.
`rollup`	object	Period aggregation guidance.
`schemaVersion`	integer	Daily schema version represented.

Complete generated dictionary: generated/core/data-dictionary.json.

Metric catalog

The generated catalog joins these production sources:

HealthMetrics.all
HealthMetricExportMapping.metricIdToFrontmatterKeys
reviewedArchiveOnlyMetricIDs
HealthMetricDataDictionary.entries
reviewed HealthKit catalog identifiers and units where available

It provides exhaustive selection coverage, including metrics with no daily summary key.

Open generated/core/metric-catalog.md for the contract matrix and generated/core/metric-examples.md for one generated synthetic reference entry per metric ID.

Daily aggregation values

Value	Daily meaning
`sum`	Total over the selected daily window.
`duration_sum`	Total duration.
`count`	Number of retained events/items.
`average`	Average daily projection.
`minimum`	Daily minimum.
`maximum`	Daily maximum.
`latest`	Latest value or identity/provenance.
`weighted_average`	Average weighted by a documented measure such as workout duration.
`first_time`	First clock value.
`last_time`	Last clock value.
`list`	List/set-like projection.
`category_latest`	Latest categorical state.

Missing is not zero. Every roll-up rule also states how missing days are handled.

Roll-up rule object

Field	Meaning
`primary`	Headline period calculation.
`statistics`	Additional statistics emitted.
`periods`	Legacy calendar applicability used by unchanged rules; range v9 applies every non-`none` rule.
`preferredSource`	Preferred daily/detail source for recomputation.
`nullHandling`	Explicit missing-day behavior.
`weightedBy`	Optional weighting field.
`notes`	Human-readable calculation guidance.

The generated behavior matrix is at generated/rollups/aggregation-behavior.md.

Roll-up schema

New range files identify themselves as healthmd.rollup_summary v9, source daily schema v8, and roll-up rules version 8. They are derived from daily summary snapshots and do not embed source archives. Historical calendar roll-up v8 files remain valid.

Common metadata includes:

schema and schema_version;
period type and period ID;
start/end dates;
expected and counted days;
coverage percent;
source dates;
summarized metrics/categories;
units and per-metric statistics.

Period behavior

Sums, durations, and counts

The period headline is the sum of daily values. Additional statistics can include daily average, daily minimum/maximum, and days counted.

Average

The period averages exported daily aggregate values. It does not silently reconstruct unavailable source samples.

Weighted average

Workout-derived averages prefer workout detail and duration weighting. When only daily values are available, the documented fallback applies.

Minimum and maximum

A period minimum is the minimum of daily minima. A period maximum is the maximum of daily maxima.

Latest

Identity/inventory-like values keep the latest observed daily value and can include value counts. Numeric latest metrics can also expose trend context. In schema v8, vo2_max retains the v7 rule: the period headline is the latest daily measurement even when an earlier day has a higher value; maximum_daily_value remains available as context.

Lists

Lists are unioned and occurrence counts are preserved.

Clock times

First/last-time metrics retain earliest, latest, and average time-of-day statistics without conflating clock values with calendar dates.

Coverage

Range period_id is <start>_to_<end> in the frozen requested IANA calendar timezone.
days_expected is the inclusive requested span and does not shrink when an edge query fails.
days_counted is the number of daily snapshots retained for the roll-up.
Per-metric days counted can be smaller when a snapshot has no value for that metric.
A failed daily fetch reduces coverage; an absent metric value does not become zero.

Format-specific roll-ups

Format	Representation
JSON	Structured metadata, metrics, categories, and statistics.
CSV	Primary and statistic rows per metric.
Markdown	Frontmatter, category tables, and detailed statistics.
Obsidian Bases	Frontmatter-focused `rollup_metrics` properties.

Complete synthetic range-v9 examples:

Consumer guidance

Validate the roll-up schema separately from daily records.
Read the dictionary rule for every metric.
Preserve days_counted and coverage with every derived statistic.
Do not use raw-record count roll-ups as proof of query completeness.
Use daily JSON/CSV archives when source-event identity is required.
Regenerate historical periods after re-exporting changed daily source data.