The Passio Nutrition AI SDK search functionality gives access to over 2.2 million food records in our nutritional database. The search api takes in a text query and returns a list of PassioFoodDataInfo results as well as a list of suggested searches.
There are two different search APIs available in the SDK:
searchForFood - tries to give best string matches based on the input parameter, often providing the same food from different brands. Example: Input parameter "eggs" will provide results like "Trader Joe's eggs", "Eggland's Best eggs", "Eggs in carton, Lucerne", ...
searchForFoodSemantic - will try to contextually match the most similar foods to the input parameter. Example: Iinput parameter "eggs" will provide results like "Cooked eggs", "Scrambled eggs", "Eggs benedict", ...
Both searchForFood and searchForFoodSemantic have the same input parameters and result structures.
public func searchForFood(byText: String, completion: @escaping (SearchResponse?) -> Void)
public struct PassioFoodDataInfo: Codable {
public let brandName: String
public let foodName: String
public let iconID: PassioID
public let labelId: String
public let resultId: String
public let score: Double
public let scoredName: String
public let type: String
public let nutritionPreview: PassioSearchNutritionPreview?
public let isShortName: Bool
}
public struct PassioSearchNutritionPreview: Codable {
public var calories: Int
public let carbs: Double
public let fat: Double
public let protein: Double
public var servingUnit: String
public var servingQuantity: Double
public var weightUnit: String
public var weightQuantity: Double
}
fun searchForFood(
term: String,
callback: (result: List<PassioFoodDataInfo>, searchOptions: List<String>) -> Unit
)
data class PassioFoodDataInfo(
val foodName: String,
val brandName: String,
val iconID: PassioID,
val score: Double,
val scoredName: String,
val labelId: String,
val type: String,
val resultId: String,
val isShortName: Boolean,
val nutritionPreview: PassioSearchNutritionPreview
)
data class PassioSearchNutritionPreview(
val calories: Int,
val carbs: Double,
val protein: Double,
val fat: Double,
val servingUnit: String,
val servingQuantity: Double,
val weightUnit: String,
val weightQuantity: Double
)
searchForFood(searchQuery: string): Promise<PassioSearchResult | null>
export interface PassioSearchResult {
results: PassioFoodDataInfo[] | null
alternatives?: string[] | null
}
export interface PassioFoodDataInfo {
brandName?: string
foodName: string
iconID: PassioID | string
labelId: string
nutritionPreview?: PassioSearchNutritionPreview
resultId: string
score?: number
scoredName?: string
type?: string
isShortName?: boolean
}
export interface PassioNutritionPreview {
calories: number
servingQuantity?: number
servingUnit?: string
weightQuantity: number
weightUnit: string
fat: number
protein: number
carbs: number
}
Future<PassioSearchResponse> searchForFood(String byText) {
return NutritionAIPlatform.instance.searchForFood(byText);
}
class PassioSearchResponse {
final List<PassioFoodDataInfo> results;
final List<String> alternateNames;
}
class PassioFoodDataInfo {
final String brandName;
final String foodName;
final PassioID iconID;
final String labelId;
final PassioSearchNutritionPreview nutritionPreview;
final String resultId;
final double score;
final String scoredName;
final String type;
final bool useShortName;
}
class PassioSearchNutritionPreview {
final int calories;
final double carbs;
final double fat;
final double protein;
final double servingQuantity;
final String servingUnit;
final double weightQuantity;
final String weightUnit;
}
The PassioFoodDataInfo is used a reference object to fetch the full nutritional data. It has all of the attributes needed for displaying on a typical search screen: the name of the food, name of the brand (if possible), iconId, and a nutritional preview detailing the macro nutrients for a specified serving size and weight.
To fetch the PassioFoodItem using a search result, invoke the fetchFoodItemForDataInfo.
The search will return 50 items that best match the input term, as well as a list of suggested searches that are semantically or contextually close to the input term.
suggested searches: "coffee with whole milk", "coffee with creamer", "iced coffee"
UI Example
Create an input text field to collect the user query
Create a horizontal list scroll to display the suggestions
Create a vertical list to display the results of the search
If the user clicks on a suggestion, pass that string to the search API and reload the UI with the new results
Food Icons
The SDK gives the ability to fetch food icons for a specific passioId. There are two functions that can be used: lookupIconsFor and fetchIconsFor.
lookupIconsFor does a local search of the icons without doing any networking calls. It returns two icons. One is a placeholder icon depending on the type of food associated with the passioId. The second one is cached icon from a previous fetchIconsFor call, it it exists.
fetchIconsFor does a networking call to fetch an icon associated with the passioId, but it will check the local cache and return a previously fetched icon.
If displaying a PassioFoodItem, PassioIngredient or a PassioFoodDataInfo icon, pass the iconId to the appropriate icon function.
Example of how to use both of these functions to first display the placeholder icon, and then fetch the remote icon:
public extension UIImageView {
// for tableView Cell.
func loadPassioIconBy(passioID: PassioID,
entityType: PassioIDEntityType,
size: IconSize = .px90,
completion: @escaping (PassioID, UIImage) -> Void) {
let (placeHolderIcon, icon) = PassioNutritionAI.shared.lookupIconsFor(passioID: passioID,
size: size,
entityType: entityType)
if let icon = icon {
self.image = icon
} else {
self.image = placeHolderIcon
PassioNutritionAI.shared.fetchIconFor(passioID: passioID) { image in
if let image = image {
completion(passioID, image)
}
}
}
}
}
// call with your UIImageView
imageFoodIcon.loadPassioIconBy(passioID: passioID, entityType: .item) { id, image in
DispatchQueue.main.async {
self.imageFoodIcon.image = image
}
}
There are several functions that are used to retrieve the PassioFoodItem object, depending on the origin of the data. If the food item is being scanned using an image, the food item is fetched using either fetchFoodItemForPassioID or fetchFoodItemForProductCode. If search is being used to access to food item, the appropriate call is the fetchFoodItemForDataInfo.
But if there is a use case that requires to save just one attribute to a database, that will later on be used to retrieve the full PassioFoodItem object, then the refCode attribute is the answer. The refCode in combination with the fetchFoodItemForRefCode will retrieve the original food item object from Passio's nutritional database.
PassioNutritionAI.shared.fetchFoodItemFor(passioID: "VEG0025") { (foodItem) in
if let refCode = foodItem?.refCode {
PassioNutritionAI.shared.fetchFoodItemFor(refCode: refCode) { refFoodItem in
// foodItem == refFoodItem
}
}
}
PassioSDK.instance.fetchFoodItemForPassioID("VEG0025") { foodItem ->
// foodItem is the original object from the database
val refCode = foodItem!!.refCode
// refCode is stored and used in another session
PassioSDK.instance.fetchFoodItemForRefCode(refCode) { refFoodItem ->
// foodItem == refFoodItem
}
}
const foodItem = await PassioSDK.fetchFoodItemForPassioID('VEG0025')
// foodItem is the original object from the database
const refCode = foodItem?.refCode
// refCode is stored and used in another session
const refCodeFoodItem = await PassioSDK.fetchFoodItemForRefCode(refCode)
final foodItem = await NutritionAI.instance.fetchFoodItemForPassioID('VEG0025');
// foodItem is the original object from the database
final refCode = foodItem!.refCode;
// refCode is stored and used in another session
final refFoodItem = await NutritionAI.instance.fetchFoodItemForRefCode(refCode);
// foodItem == refFoodItem
refCode is a string hash of a complex object and can reach lengths above 180 characters.
Using v2 PassioID in the v3 SDK
If the implementing app is transitioning from generation 2 to generation 3 of the SDK, and has already stored generation 2 PassioIDs, invoking the fetchFoodItemLegacy will retrieve the PassioFoodItem that was previously structured as PassioIDAttributes.