API 응답을 만들면이 같은 변압기를 사용하여 응답을 반환합니다. 여기 피벗 필드에서 실제 테이블 Laravel로 값을 복사하는 방법
그리고
public function transform(DietPlan $dietPlan)
{
// $dietPlan->foods->diet_plan_id = $dietPlan->id;
return [
'id' => $dietPlan->id,
'bmi_status' => $dietPlan->bmi_status,
'eating_type' => $dietPlan->eating_type,
'eating_time' => $dietPlan->eating_time,
'disease' => ($dietPlan->diseases_id == null) ? null : $dietPlan->diseases->name,
'blood_group' => ($dietPlan->blood_groups_id == null) ? null : $dietPlan->blood_group->name,
'age' => $dietPlan->age,
'foods' => $dietPlan->foods,
'created_at' => $dietPlan->created_at,
'updated_at' => $dietPlan->updated_at,
];
}
는 API
{
"status": "0",
"message": "success",
"response": {
"headers": {},
"original": {
"data": [
{
"id": 35,
"bmi_status": "Normal Weight",
"eating_type": "Breakfast",
"eating_time": "02:55:00",
"disease": "Diabetes",
"blood_group": null,
"age": 20,
"foods": [
{
"id": 2,
"food_name": "Potato",
"protein": "10",
"calories": null,
"fact": "Fact Dummy",
"carbohydrate": "80",
"unit_type": null,
"created_at": "2017-11-04 08:36:31",
"updated_at": "2017-11-04 08:36:31",
"image": null,
"servings": null,
"pivot": {
"diet_plan_id": 35,
"food_id": 2,
"quantity": "4"
}
},
{
"id": 3,
"food_name": "Rise",
"protein": "40",
"calories": null,
"fact": "Fact Dummy",
"carbohydrate": "100",
"unit_type": null,
"created_at": "2017-11-04 08:36:31",
"updated_at": "2017-11-04 08:36:31",
"image": null,
"servings": null,
"pivot": {
"diet_plan_id": 35,
"food_id": 3,
"quantity": "4"
}
},
{
"id": 4,
"food_name": "Salad",
"protein": "30",
"calories": null,
"fact": "Fact Dummy",
"carbohydrate": "15",
"unit_type": null,
"created_at": "2017-11-04 08:36:31",
"updated_at": "2017-12-15 19:42:05",
"image": "http://bmiproject.app/images/foods/saladvuy8tb-4.jpg",
"servings": null,
"pivot": {
"diet_plan_id": 35,
"food_id": 4,
"quantity": "5"
}
},
{
"id": 18,
"food_name": "Balabala",
"protein": "2",
"calories": null,
"fact": "Balabalba",
"carbohydrate": "1",
"unit_type": null,
"created_at": "2017-12-15 19:29:02",
"updated_at": "2017-12-15 19:29:02",
"image": null,
"servings": null,
"pivot": {
"diet_plan_id": 35,
"food_id": 18,
"quantity": "7"
}
}
],
"created_at": {
"date": "2017-12-16 06:54:11.000000",
"timezone_type": 3,
"timezone": "UTC"
},
"updated_at": {
"date": "2017-12-16 06:54:11.000000",
"timezone_type": 3,
"timezone": "UTC"
}
},
{
"id": 36,
"bmi_status": "Normal Weight",
"eating_type": "Lunch",
"eating_time": "02:55:00",
"disease": "Diabetes",
"blood_group": null,
"age": 20,
"foods": [
{
"id": 1,
"food_name": "Meat",
"protein": "27",
"calories": null,
"fact": "Fact Dummy",
"carbohydrate": "35",
"unit_type": null,
"created_at": "2017-11-04 08:36:31",
"updated_at": "2017-11-04 08:36:31",
"image": null,
"servings": null,
"pivot": {
"diet_plan_id": 36,
"food_id": 1,
"quantity": "2"
}
},
{
"id": 3,
"food_name": "Rise",
"protein": "40",
"calories": null,
"fact": "Fact Dummy",
"carbohydrate": "100",
"unit_type": null,
"created_at": "2017-11-04 08:36:31",
"updated_at": "2017-11-04 08:36:31",
"image": null,
"servings": null,
"pivot": {
"diet_plan_id": 36,
"food_id": 3,
"quantity": "2"
}
},
{
"id": 15,
"food_name": "Bacang",
"protein": "3",
"calories": null,
"fact": "Hello Bacang adalah",
"carbohydrate": "3",
"unit_type": null,
"created_at": "2017-12-15 13:10:07",
"updated_at": "2017-12-15 13:10:07",
"image": "http://bmiproject.app/images/foods/bacangfeschp-4.jpg",
"servings": null,
"pivot": {
"diet_plan_id": 36,
"food_id": 15,
"quantity": "2"
}
},
{
"id": 15,
"food_name": "Bacang",
"protein": "3",
"calories": null,
"fact": "Hello Bacang adalah",
"carbohydrate": "3",
"unit_type": null,
"created_at": "2017-12-15 13:10:07",
"updated_at": "2017-12-15 13:10:07",
"image": "http://bmiproject.app/images/foods/bacangfeschp-4.jpg",
"servings": null,
"pivot": {
"diet_plan_id": 36,
"food_id": 15,
"quantity": "2"
}
},
{
"id": 15,
"food_name": "Bacang",
"protein": "3",
"calories": null,
"fact": "Hello Bacang adalah",
"carbohydrate": "3",
"unit_type": null,
"created_at": "2017-12-15 13:10:07",
"updated_at": "2017-12-15 13:10:07",
"image": "http://bmiproject.app/images/foods/bacangfeschp-4.jpg",
"servings": null,
"pivot": {
"diet_plan_id": 36,
"food_id": 15,
"quantity": "2"
}
}
],
"created_at": {
"date": "2017-12-16 06:54:38.000000",
"timezone_type": 3,
"timezone": "UTC"
},
"updated_at": {
"date": "2017-12-16 06:54:38.000000",
"timezone_type": 3,
"timezone": "UTC"
}
},
{
"id": 37,
"bmi_status": "Normal Weight",
"eating_type": "Evening Snack",
"eating_time": "02:56:00",
"disease": "Diabetes",
"blood_group": null,
"age": 20,
"foods": [
{
"id": 2,
"food_name": "Potato",
"protein": "10",
"calories": null,
"fact": "Fact Dummy",
"carbohydrate": "80",
"unit_type": null,
"created_at": "2017-11-04 08:36:31",
"updated_at": "2017-11-04 08:36:31",
"image": null,
"servings": null,
"pivot": {
"diet_plan_id": 37,
"food_id": 2,
"quantity": "9"
}
},
{
"id": 1,
"food_name": "Meat",
"protein": "27",
"calories": null,
"fact": "Fact Dummy",
"carbohydrate": "35",
"unit_type": null,
"created_at": "2017-11-04 08:36:31",
"updated_at": "2017-11-04 08:36:31",
"image": null,
"servings": null,
"pivot": {
"diet_plan_id": 37,
"food_id": 1,
"quantity": "1"
}
}
],
"created_at": {
"date": "2017-12-16 06:55:09.000000",
"timezone_type": 3,
"timezone": "UTC"
},
"updated_at": {
"date": "2017-12-16 06:55:09.000000",
"timezone_type": 3,
"timezone": "UTC"
}
},
{
"id": 38,
"bmi_status": "Normal Weight",
"eating_type": "Dinner",
"eating_time": "02:56:00",
"disease": "Diabetes",
"blood_group": null,
"age": 20,
"foods": [
{
"id": 1,
"food_name": "Meat",
"protein": "27",
"calories": null,
"fact": "Fact Dummy",
"carbohydrate": "35",
"unit_type": null,
"created_at": "2017-11-04 08:36:31",
"updated_at": "2017-11-04 08:36:31",
"image": null,
"servings": null,
"pivot": {
"diet_plan_id": 38,
"food_id": 1,
"quantity": null
}
},
{
"id": 4,
"food_name": "Salad",
"protein": "30",
"calories": null,
"fact": "Fact Dummy",
"carbohydrate": "15",
"unit_type": null,
"created_at": "2017-11-04 08:36:31",
"updated_at": "2017-12-15 19:42:05",
"image": "http://bmiproject.app/images/foods/saladvuy8tb-4.jpg",
"servings": null,
"pivot": {
"diet_plan_id": 38,
"food_id": 4,
"quantity": null
}
}
],
"created_at": {
"date": "2017-12-16 06:55:28.000000",
"timezone_type": 3,
"timezone": "UTC"
},
"updated_at": {
"date": "2017-12-16 06:55:28.000000",
"timezone_type": 3,
"timezone": "UTC"
}
}
]
},
"exception": null
}
}
하자 초점 지점 foods.pivot
의 응답, 그래서 내가 피벗에서 값을 복사 할 상위 분기로 분기 servings
이라고합니다.
여기 관계는 음식 기능에 초점을두고 있습니다.
그래서 수량을 서빙으로 복사해야합니까? –