Export formats

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Health.md uses one captured daily data set to produce formats with different roles. JSON and CSV carry canonical source records. Markdown and Obsidian Bases remain intentionally readable.

Capability matrix

Capability	JSON	CSV	Markdown	Obsidian Bases
Daily summaries	Yes	Yes	Yes	Yes
Typed WHOOP provider data	Nested section	Scalars + canonical JSON rows	Labeled tables	Unambiguous `whoop_*` scalars
Canonical UUID-backed records	Embedded	Canonical JSON rows	No	No
UUID-free external records	Embedded	Canonical JSON rows	Count only	No dedicated count
Full query manifest	Embedded	Archive Manifest row	Counts/safe details	Failure count only
Typed recursive metadata	Embedded	Canonical JSON rows	No	No
Exact binary values	Base64	Base64 inside JSON cell	No	No
Relationship graph	Embedded	Canonical JSON rows	No	No
Human-readable sections	Limited	Limited	Yes	Frontmatter only
Custom frontmatter keys	No	No	Yes	Yes
Update/merge user writing	No	No	Yes	Generated frontmatter file

JSON

JSON is the authoritative single-file daily representation.

Top-level schema: healthmd.health_data v8.
Optional typed provider section: providers.whoop using healthmd.provider.whoop_daily v1.
Nested archive: healthmd.healthkit_records v1 when lossless capture is requested and available.
Keys are sorted in production output for deterministic serialization.
Optional summary sections and fields are omitted when absent.
Binary values are base64.
Canonical timestamps use UTC; summary display times use captured calendar context.

Complete examples:

JSON parser guidance

Parse numbers without converting all integers to floating point when exactness matters.
Preserve unknown object keys and enum strings.
Branch on metadata type tags.
Treat the canonical archive as source truth, not summary arrays.

CSV

CSV begins with the header:

Date,Category,Metric,Value,Unit,Timestamp

Production v8 rows retain an intentional v7 compatibility detail:

many aggregate rows serialize five fields and omit the trailing empty Timestamp field;
metadata, diagnostic, canonical, and timestamped sample rows commonly serialize six fields.

Consumers must accept both five- and six-field records under the six-name header. A missing sixth field means no timestamp for that aggregate row.

Do not split CSV on commas or physical newline characters. Canonical JSON cells can contain commas, quotes, and embedded line breaks. Use an RFC 4180 parser.

Canonical row types

Category / Metric	Purpose
`Raw HealthKit / Raw Capture Status`	Daily capture status.
`Raw HealthKit / Archive Manifest`	Archive metadata, ownership, query manifest, warnings, and inventory without record arrays.
`Raw HealthKit / Raw HealthKit Record`	One canonical UUID-backed record JSON object.
`Raw HealthKit / Raw HealthKit External Record`	One UUID-free public record JSON object.
`Raw HealthKit / Query Failure`	One failed/cancelled query result.
`Raw HealthKit / Integrity Warning`	One warning.
`Diagnostics / Partial Failure`	One exporter/fetch partial failure.
`WHOOP Capture / Resource Result`	One safe typed resource result as canonical JSON.
`WHOOP Cycle/Recovery/Sleep/Workout/Body / * Record`	Typed WHOOP records as canonical JSON; timed records use source start timestamps.

Unambiguous WHOOP daily scalars also use provider-prefixed categories. Recovery and body snapshot rows never substitute provider fetch time for a measurement timestamp. JSON and CSV canonical HealthKit record UUIDs and objects must match.

Complete examples and generated row inventory:

Markdown

Markdown is a readable daily note. With Include Metadata on (the default), it includes schema/time/unit frontmatter. With that user-controlled setting off, the entire frontmatter block is omitted, so the Markdown file does not identify its schema or expose the machine-readable units map. Its body includes:

selected daily summary sections;
optional workout details and compatibility sample tables;
compact lossless capture diagnostics;
labeled WHOOP summaries and deterministic repeated-record tables when a typed provider section is present.

It does not embed recursive canonical records, route graphs, clinical payloads, waveforms, or binary data. Pair it with JSON or CSV when source identity matters.

Complete generated example:

Obsidian Bases

Bases output is a frontmatter-only Markdown file. It exposes selected summary properties and compact diagnostics for database views.

Reserved v8 diagnostics are:

raw_capture_status
raw_record_count
raw_query_failure_count
raw_integrity_warning_count
raw_record_schema
raw_record_schema_version

There are no dedicated Bases/frontmatter properties for external-record count or medication-inventory count. Markdown’s body can show those additional counts. Typed WHOOP sections add reserved whoop_* scalar properties only when the projection is unambiguous; repeated records are not flattened into indexed keys.

Complete generated examples:

Units by format

JSON uses structured canonical values and a units map.
CSV uses the Unit column.
Markdown prose can use selected display units.
Bases uses stable values plus a frontmatter units map.
Canonical record quantities carry their own exact unit.

The v8 data dictionary retains µg for microgram summary keys and adds provider-prefixed WHOOP entries with no period roll-ups.

Archive-off behavior

When the canonical HealthKit archive is off (Summary or Detailed Time-Series):

raw_capture_status is not_requested;
JSON has no healthkit_record_archive;
CSV has no canonical record/manifest rows;
Detailed Time-Series may still include compatible sample arrays/rows/tables;
Markdown/Bases retain compact status/frontmatter behavior;
summaries remain available.

Connected jobs in true summary-only mode neither fetch nor transfer a hidden archive.

Write behavior

JSON and CSV are regenerated; Update falls back to overwrite.
Markdown can use Update to replace Health.md-managed sections while preserving user sections.
Bases is generated frontmatter intended for database consumption.
When Markdown and Bases are both enabled, Bases uses a -bases.md suffix to avoid collisions.

Serialization failures

Production file writers use throwing serialization paths and fail the affected date rather than silently omitting a malformed canonical record. Convenience preview methods can emit an explicit machine-readable serialization-error fallback. Consumers must not treat that fallback as a complete health-data document.