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Test Frontmatter

Deep Values

deepValue: very: very: very: very: very: deep: 27.4

searchType: frontmatter
searchTarget: deepValue.very.very.very.very.very.deep
folder: diary
endDate: 2021-01-31
line:
    title: Deep Values

Multiple Values

bloodpressure: 184.4/118.8

searchType: frontmatter
searchTarget: bloodpressure[0], bloodpressure[1]
datasetName: systolic, diastolic
folder: diary
startDate: 2021-01-01
endDate: 2021-01-31
line:
    title: Blood Pressures
    yAxisLabel: BP
    yAxisUnit: mmHg
    lineColor: yellow, red
    showLegend: true
    legendPosition: bottom

Multiple Tags in Front Matter

Extract data of one tag from multiple tags. The default separator in front matter tags is comma (,)

searchType: tag
searchTarget: work_log
folder: diary
accum: true
startDate: 2021-01-01
endDate: 2021-01-31
line:
    title: Work Log
    yAxisLabel: Count
    pointSize: 5
    pointColor: white
    pointBorderWidth: 2
    pointBorderColor: "#d65d0e"

Use the data of two tags. The default separator in front matter tags is comma (,)

searchType: tag
searchTarget: work_log, work_log2
folder: diary
datasetName: Work1, Work2
month:
    initMonth: 2021-01

Track Field Existence (frontmatter.exists)

Track days when a frontmatter field exists and is non-empty, regardless of the value. This is useful for habit tracking where you just need to know if something happened.

searchType: frontmatter.exists
searchTarget: meditation
datasetName: Meditation Days
folder: diary
startDate: 2021-01-01
endDate: 2021-01-31
month:
    mode: circle

This will count each day where the meditation field exists in the frontmatter, whether it's meditation: yes, meditation: completed, meditation: true, or any other non-empty value.

Please also check those search targets in markdown files under folder 'diary'.

Note about multiple values: When extracting one value from a list of multiple values in frontmatter fields besides tags, please refer to TestFrontmatterList.md.