kaloricketabulky.sdk.models.snapshot

kaloricketabulky.sdk.models.snapshot

Long-term statistic snapshots (energy, nutrients, drink, weight, optional).

SnapshotType

Bases: StrEnum

The statistic kind requested from /statistic/{type}/.../get.

SnapshotTableRow pydantic-model

Bases: ApiModel

A value/target pair as shown in the snapshot table.

Fields:

• value (MeasurementPoint | None)
• target (MeasurementPoint | None)

NutrientsPoint pydantic-model

Bases: ApiModel

A dated fat/protein/carbs triplet (nutrients snapshot).

Fields:

• created_date (EpochDateTime)
• fat (MeasurementPoint | None)
• protein (MeasurementPoint | None)
• carbs (MeasurementPoint | None)

NutrientsTableRow pydantic-model

Bases: ApiModel

Value/target macro pairs as shown in the nutrients snapshot table.

Fields:

• fat_target (MeasurementPoint | None)
• protein_target (MeasurementPoint | None)
• carbs_target (MeasurementPoint | None)
• fat_value (MeasurementPoint | None)
• protein_value (MeasurementPoint | None)
• carbs_value (MeasurementPoint | None)

Snapshot pydantic-model

Bases: ApiModel

One statistic series over a date range.

Flat metrics (energy/drink/weight) use values/target/table_data; the nutrients metric uses the nutrients_* triplets instead. The type field is the metric name, or the custom metric label for optional snapshots.

Fields:

• type (str)
• unit (str | None)
• valid_from (EpochDateTime)
• valid_to (EpochDateTime)
• guid (str | None)
• min (float | None)
• max (float | None)
• values (_PointList)
• target (_PointList)
• table_data (list[SnapshotTableRow])
• nutrients_values (list[NutrientsPoint])
• nutrients_target (list[NutrientsPoint])
• nutrients_table_data (list[NutrientsTableRow])