Export bundle format

This document describes the structure of the data export that Settings → Export / Import App Data → Export produces. It exists for the same reason issue #40 asked for it: people who want to keep their nutrition history in a plaintext format they can sync via Syncthing, open in a spreadsheet, or feed into other tooling deserve a stable schema they can read against. Issue #132 asked specifically for CSV export so the import / export round trip would be symmetric, and that lives alongside the JSON in the same bundle.

Zip layout

The export is a single .zip file (default filename opennutritracker-export.zip). It contains:

File	Format	Notes
`user_intake.json`	JSON	Canonical format the app re-imports from.
`user_intake.csv`	CSV	Flat companion to `user_intake.json` — same rows, flattened meal.
`user_activity.json`	JSON	Canonical format the app re-imports from.
`user_activity.csv`	CSV	Flat companion to `user_activity.json`.
`user_tracked_day.json`	JSON	Canonical format the app re-imports from.
`user_tracked_day.csv`	CSV	Flat companion to `user_tracked_day.json`.
`user_recipes.json`	JSON	Recipes only. Nested-ingredient shape, no CSV counterpart.

User profile (height, weight, birthday, PAL, goal) is intentionally not included — see core/data/data_source/user_data_source.dart for the box that stores it.

The user can re-import the same zip via Settings → Import. The importer reads the JSON files and ignores the CSV companions. The CSV files exist so a spreadsheet, a Syncthing-style backup, or external tooling can read the same data without going through Hive.

JSON schema

The JSON files are direct serializations of the Hive DBO classes via json_serializable, so the source of truth lives in lib/core/data/dbo/. The shapes below are summaries — fields may be added in future versions, and unknown fields are ignored on import.

`user_intake.json`

Array of intake records:

[
  {
    "id": "uuid-string",
    "unit": "g",                     // or "ml", "serving", ...
    "amount": 120.0,                 // numeric amount in `unit`
    "type": "breakfast",             // breakfast | lunch | dinner | snack
    "dateTime": "2026-05-13T08:15:00.000",
    "meal": {
      "code": "1234567890123",       // barcode or null
      "name": "Whole Milk",
      "brands": "Acme Dairy",
      "thumbnailImageUrl": null,
      "mainImageUrl": null,
      "url": null,
      "mealQuantity": "100",
      "mealUnit": "g",
      "servingQuantity": 250.0,
      "servingUnit": "ml",
      "servingSize": "250 ml",
      "source": "off",               // unknown | custom | off | fdc | recipe
      "nutriments": {
        "energyKcal100": 61.0,
        "carbohydrates100": 4.8,
        "fat100": 3.3,
        "proteins100": 3.2,
        "sugars100": 5.1,
        "saturatedFat100": 1.9,
        "fiber100": 0.0,
        // Optional extended fields (#237):
        "monounsaturatedFat100": null,
        "polyunsaturatedFat100": null,
        "transFat100": null,
        "cholesterol100": null,
        "sodium100": null,
        "potassium100": null,
        "magnesium100": null,
        "calcium100": null,
        "iron100": null,
        "zinc100": null,
        "phosphorus100": null,
        "vitaminA100": null,
        "vitaminC100": null,
        "vitaminD100": null,
        "vitaminB6100": null,
        "vitaminB12100": null,
        "niacin100": null
      }
    }
  }
]

`user_activity.json`

Array of logged physical-activity records:

[
  {
    "id": "uuid-string",
    "duration": 45.0,                // minutes
    "burnedKcal": 320.0,
    "date": "2026-05-13T18:00:00.000",
    "physicalActivityDBO": {
      "code": "01010",               // 2024 Adult Compendium code
      "specificActivity": "Running, 8 km/h",
      "description": "Running, 8 km/h (7.5 min/km)",
      "mets": 8.3,
      "tags": ["cardio", "outdoor"],
      "type": "running"              // bicycling | conditioningExercise | dancing | running | sport | waterActivities | winterActivities
    }
  }
]

`user_tracked_day.json`

Array of per-day calorie/macro totals:

[
  {
    "day": "2026-05-13T00:00:00.000",
    "calorieGoal": 2200.0,
    "caloriesTracked": 1850.0,
    "carbsGoal": 330.0,
    "carbsTracked": 270.0,
    "fatGoal": 61.0,
    "fatTracked": 55.0,
    "proteinGoal": 110.0,
    "proteinTracked": 95.0
  }
]

`user_recipes.json`

Array of recipe records, each holding an ingredients list referencing external food items by code. The nested-ingredient shape makes CSV a poor fit here, so recipes ship as JSON only. See lib/core/data/dbo/recipe_dbo.dart for the precise field list.

CSV schema

All CSV files use UTF-8, comma as the field separator, \n as the line terminator, and the same minimal quoting rules as the existing CSV importer (lib/core/utils/csv_row_parser.dart):

A cell is wrapped in double quotes when it contains ,, ", \n, or \r.
Embedded double quotes inside a quoted cell are escaped by doubling: "".
Empty cells represent null for nullable columns.
Numeric cells accept . or , as the decimal mark; the exporter always writes ..
Date/time cells are ISO-8601 strings (DateTime.toIso8601String()).

Column order in the exported CSV matches the table below, but the parser is header-driven, so external tooling can re-order columns freely. Header lookup is case-insensitive.

`user_intake.csv`

Column	Type	Required	Notes
`id`	string	yes	Intake UUID.
`date_time`	string	yes	ISO-8601 timestamp.
`type`	enum	yes	`breakfast` / `lunch` / `dinner` / `snack`.
`amount`	number	yes	Quantity logged.
`unit`	string	yes	e.g. `g`, `ml`, `serving`.
`meal_code`	string	no	Barcode / FDC ID; empty for custom foods.
`meal_name`	string	no
`meal_brands`	string	no
`meal_source`	enum	no	`unknown` / `custom` / `off` / `fdc` / `recipe`.
`meal_quantity`	string	no	e.g. `100`.
`meal_unit`	string	no	e.g. `g`.
`meal_serving_quantity`	number	no
`meal_serving_unit`	string	no
`meal_serving_size`	string	no	Human-readable size.
`meal_thumbnail_url`	string	no
`meal_main_image_url`	string	no
`meal_url`	string	no
`kcal_per_100g`	number	no	All `*_per_100g` columns are nutriment values per 100 g of the food, not per logged portion.
`carbs_per_100g`	number	no
`fat_per_100g`	number	no
`protein_per_100g`	number	no
`sugars_per_100g`	number	no
`saturated_fat_per_100g`	number	no
`fiber_per_100g`	number	no
`monounsaturated_fat_per_100g`	number	no	Extended lipid profile (#237).
`polyunsaturated_fat_per_100g`	number	no
`trans_fat_per_100g`	number	no
`cholesterol_per_100g`	number	no	mg.
`sodium_per_100g`	number	no	mg.
`potassium_per_100g`	number	no	mg.
`magnesium_per_100g`	number	no	mg.
`calcium_per_100g`	number	no	mg.
`iron_per_100g`	number	no	mg.
`zinc_per_100g`	number	no	mg.
`phosphorus_per_100g`	number	no	mg.
`vitamin_a_per_100g`	number	no	µg RAE.
`vitamin_c_per_100g`	number	no	mg.
`vitamin_d_per_100g`	number	no	µg.
`vitamin_b6_per_100g`	number	no	mg.
`vitamin_b12_per_100g`	number	no	µg.
`niacin_per_100g`	number	no	mg (B3).

`user_activity.csv`

Column	Type	Required	Notes
`id`	string	yes	UUID.
`date`	string	yes	ISO-8601 timestamp.
`duration`	number	yes	Minutes.
`burned_kcal`	number	yes
`activity_code`	string	yes	2024 Adult Compendium code.
`specific_activity`	string	yes	Human-readable activity name.
`description`	string	yes
`mets`	number	yes	MET value.
`tags`	string	no	Pipe-separated (`outdoor
`type`	enum	yes	`bicycling` / `conditioningExercise` / `dancing` / `running` / `sport` / `waterActivities` / `winterActivities`.

`user_tracked_day.csv`

Column	Type	Required	Notes
`day`	string	yes	ISO-8601 date (start of day).
`calorie_goal`	number	yes
`calories_tracked`	number	yes
`carbs_goal`	number	no	g.
`carbs_tracked`	number	no	g.
`fat_goal`	number	no	g.
`fat_tracked`	number	no	g.
`protein_goal`	number	no	g.
`protein_tracked`	number	no	g.

Round-trip guarantee

The CSV files round-trip cleanly through lib/core/utils/csv_data_exporter.dart — exporting a list of DBOs and parsing the resulting CSV yields structurally equal DBOs (modulo empty-string-vs-null normalisation on nullable fields). The unit test test/unit_test/csv_data_exporter_test.dart pins this behaviour.

The in-app Import action still reads the JSON files only, so external tooling that wants to write data back into the app must produce the JSON shape above. Future work could surface a "Import CSV (intakes / activities / tracked days)" entry point if there's demand — for now the CSV is read-only from the app's perspective and read-write from your spreadsheet's perspective.

Syncthing-friendly notes

The export is deliberately plain UTF-8 inside a normal zip — no binary encoding, no app-specific framing — so it is safe to leave a copy in a Syncthing folder and let the same bundle move between devices. The JSON files re-import losslessly; the CSV files are stable across versions (columns can be added at the end, never reordered or removed without a schema bump).

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Export bundle format

Zip layout

JSON schema

`user_intake.json`

`user_activity.json`

`user_tracked_day.json`

`user_recipes.json`

CSV schema

`user_intake.csv`

`user_activity.csv`

`user_tracked_day.csv`

Round-trip guarantee

Syncthing-friendly notes

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Export bundle format

Zip layout

JSON schema

user_intake.json

user_activity.json

user_tracked_day.json

user_recipes.json

CSV schema

user_intake.csv

user_activity.csv

user_tracked_day.csv

Round-trip guarantee

Syncthing-friendly notes

`user_intake.json`

`user_activity.json`

`user_tracked_day.json`

`user_recipes.json`

`user_intake.csv`

`user_activity.csv`

`user_tracked_day.csv`