Description
Sample supplied recipes, draw target servings, delegate ingredient scaling and compatible mass/volume conversions, and combine matching ingredient IDs in grams, milliliters or each. Only supplied grams-per-milliliter densities convert volume to mass; otherwise dimensions stay separate. Count amounts may be fractional, repeats are explicit, and nothing implies nutrition or food safety.
A logistics test dataset combines supplied operating ranges with explicit quantity and unit conventions. Constructed measurements and calculated indicators can exercise reports and calculators without claiming to represent an observed operation or a safe physical plan.
Sample supplied recipes, draw target servings, delegate ingredient scaling and compatible mass/volume conversions, and combine matching ingredient IDs in grams, milliliters or each. Only supplied grams-per-milliliter densities convert volume to mass; otherwise dimensions stay separate. Count amounts may be fractional, repeats are explicit, and nothing implies nutrition or food safety.
When to use this tool
Use this generator to create reproducible multi recipe shopping list cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.
How to use the tool and how it works
- Supply recipes, selectionCount, withoutReplacement, targetServings, densities in the field shapes below. Set seed when you need an explicit replay.
- Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
- Read selections, shoppingList. Use the conventions below and keep answer-bearing fields separate when presenting an exercise.
Sample recipes with the chosen repeat policy and target servings, scale every ingredient, and normalize mass to grams, volume to milliliters, and counts to each. Convert volume to grams only where a supplied ingredient density exists, then aggregate by ingredient ID and normalized unit.1
Delegated operations used for this result: recipe scale; mass. Their calculation or parsing conventions apply to the corresponding result fields.2, 3
| Input field | Meaning and units | Accepted input |
|---|---|---|
| recipes | Recipes | Required. Array of Object; no unknown keys.; minimum items 1; maximum items 64. |
| recipes[].id | Literal identifier used to match records, independently of their display labels. | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128. |
| recipes[].originalServings | Original Servings | Required. Finite number; minimum 1. |
| recipes[].ingredients | Ingredients | Required. Array of Object; no unknown keys.; minimum items 1; maximum items 32. |
| recipes[].ingredients[].ingredientId | Ingredient Id | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128. |
| recipes[].ingredients[].amount | Amount | Required. Finite number; minimum 0. |
| recipes[].ingredients[].dimension | Dimension | Required. Text; one of "mass", "volume", "count". |
| recipes[].ingredients[].unit | Unit | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64. |
| selectionCount | Selection Count | Required. Safe integer; minimum 1; maximum 16. |
| withoutReplacement | Without Replacement | Required. Boolean. |
| targetServings | Target Servings | Required. Array of Finite number; minimum 0.; minimum items 1; maximum items 32. |
| densities | Estimated density at each returned point, in inverse sample units. | Required. Array of Object; no unknown keys.; maximum items 128. |
| densities[].ingredientId | Ingredient Id | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128. |
| densities[].gramsPerMilliliter | Grams Per Milliliter | Required. Finite number; strictly above 0. |
| seed | Optional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed. | Optional. Safe integer. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| selections | Selections | Required. Array of Object; no unknown keys.; minimum items 1; maximum items 16. |
| selections[].recipeId | Recipe Id | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128. |
| selections[].originalServings | Original Servings | Required. Finite number; minimum 1. |
| selections[].targetServings | Target Servings | Required. Finite number; minimum 0. |
| selections[].ingredients | Ingredients | Required. Array of Object; no unknown keys.; minimum items 1; maximum items 32. |
| selections[].ingredients[].ingredientId | Ingredient Id | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128. |
| selections[].ingredients[].originalAmount | Original Amount | Required. Finite number; minimum 0. |
| selections[].ingredients[].originalUnit | Original Unit | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64. |
| selections[].ingredients[].scaledAmount | Scaled Amount | Required. Finite number; minimum 0. |
| selections[].ingredients[].normalizedAmount | Normalized Amount | Required. Finite number; minimum 0. |
| selections[].ingredients[].normalizedUnit | Normalized Unit | Required. Text; one of "g", "ml", "each". |
| shoppingList | Shopping List | Required. Array of Object; no unknown keys.; minimum items 1; maximum items 512. |
| shoppingList[].ingredientId | Ingredient Id | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128. |
| shoppingList[].unit | Unit | Required. Text; one of "g", "ml", "each". |
| shoppingList[].amount | Amount | Required. Finite number; minimum 0. |
| randomness | Replay metadata: source is seed or context; seed is the normalized 32-bit seed or null for a context source. | Required. Object; no unknown keys. |
| randomness.seed | Optional numeric replay seed; normalization and precedence are explained below. | Required. Safe integer. or Null. |
| randomness.source | Source | Required. Text; one of "context", "seed". |
An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.
{
"input": {
"recipes": [
{
"id": "R1",
"originalServings": 2,
"ingredients": [
{
"ingredientId": "flour",
"amount": 0.25,
"dimension": "mass",
"unit": "kg"
},
{
"ingredientId": "milk",
"amount": 100,
"dimension": "volume",
"unit": "ml"
}
]
},
{
"id": "R2",
"originalServings": 1,
"ingredients": [
{
"ingredientId": "flour",
"amount": 50,
"dimension": "mass",
"unit": "g"
},
{
"ingredientId": "milk",
"amount": 0.2,
"dimension": "volume",
"unit": "l"
},
{
"ingredientId": "eggs",
"amount": 1,
"dimension": "count",
"unit": "each"
}
]
}
],
"selectionCount": 2,
"withoutReplacement": true,
"targetServings": [
2,
4
],
"densities": [
{
"ingredientId": "milk",
"gramsPerMilliliter": 1.03
}
],
"seed": 42
},
"output": {
"selections": [
{
"recipeId": "R2",
"originalServings": 1,
"targetServings": 4,
"ingredients": [
{
"ingredientId": "flour",
"originalAmount": 50,
"originalUnit": "g",
"scaledAmount": 200,
"normalizedAmount": 200,
"normalizedUnit": "g"
},
{
"ingredientId": "milk",
"originalAmount": 0.2,
"originalUnit": "l",
"scaledAmount": 0.8,
"normalizedAmount": 824,
"normalizedUnit": "g"
},
{
"ingredientId": "eggs",
"originalAmount": 1,
"originalUnit": "each",
"scaledAmount": 4,
"normalizedAmount": 4,
"normalizedUnit": "each"
}
]
},
{
"recipeId": "R1",
"originalServings": 2,
"targetServings": 4,
"ingredients": [
{
"ingredientId": "flour",
"originalAmount": 0.25,
"originalUnit": "kg",
"scaledAmount": 0.5,
"normalizedAmount": 500,
"normalizedUnit": "g"
},
{
"ingredientId": "milk",
"originalAmount": 100,
"originalUnit": "ml",
"scaledAmount": 200,
"normalizedAmount": 206,
"normalizedUnit": "g"
}
]
}
],
"shoppingList": [
{
"ingredientId": "flour",
"unit": "g",
"amount": 700
},
{
"ingredientId": "milk",
"unit": "g",
"amount": 1030
},
{
"ingredientId": "eggs",
"unit": "each",
"amount": 4
}
],
"randomness": {
"seed": 42,
"source": "seed"
}
}
}Limitations and assumptions
- Without density, the same ingredient can retain separate gram and milliliter totals. Densities are caller data; units and dimensions are checked, but this is not nutrition, allergy, storage, or cooking-safety advice.
- A replay requires the same complete input and implementation. Randomized construction does not guarantee uniform coverage of every feasible output; finite samples can repeat unless a distinct-selection rule is explicitly stated.
- The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.
Alternative or Complementary methods
For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.
References
Similar or alternative tools
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- Random Inventory Forecast Error Dataset Generator
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