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API 1.2+1 DietMeal + fixes

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This commit is contained in:
Tibor Bossanyi 2023-02-25 12:44:05 +01:00
parent 8f354803ca
commit e3107147a1
33 changed files with 871 additions and 116 deletions
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444
data/db/diet4you.sql Normal file
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@ -0,0 +1,444 @@
-- --------------------------------------------------------
-- Hoszt: 127.0.0.1
-- Szerver verzió: 10.4.11-MariaDB - mariadb.org binary distribution
-- Szerver OS: Win64
-- HeidiSQL Verzió: 12.3.0.6589
-- --------------------------------------------------------
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET NAMES utf8 */;
/*!50503 SET NAMES utf8mb4 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
-- Struktúra mentése tábla aitrainer2. app_text
CREATE TABLE IF NOT EXISTS `app_text` (
`text_id` int(13) NOT NULL AUTO_INCREMENT,
`text_key` mediumtext DEFAULT NULL,
`screenshot_url` char(200) DEFAULT NULL,
`checked` tinyint(1) DEFAULT 0,
PRIMARY KEY (`text_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. app_text_translation
CREATE TABLE IF NOT EXISTS `app_text_translation` (
`translation_id` int(13) NOT NULL AUTO_INCREMENT,
`text_id` int(11) NOT NULL,
`language_code` char(2) NOT NULL DEFAULT 'en',
`translation` char(50) DEFAULT NULL,
PRIMARY KEY (`translation_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- Az adatok exportálása nem lett kiválasztva.
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. configuration
CREATE TABLE IF NOT EXISTS `configuration` (
`configuration_id` int(11) NOT NULL AUTO_INCREMENT,
`config_key` char(50) COLLATE utf8_hungarian_ci DEFAULT NULL,
`config_value` char(50) COLLATE utf8_hungarian_ci DEFAULT NULL,
`date_add` datetime DEFAULT NULL,
`date_change` datetime DEFAULT NULL,
PRIMARY KEY (`configuration_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. customer
CREATE TABLE IF NOT EXISTS `customer` (
`customer_id` int(11) NOT NULL AUTO_INCREMENT,
`name` char(100) COLLATE utf8_hungarian_ci NOT NULL,
`firstname` char(100) COLLATE utf8_hungarian_ci NOT NULL,
`email` char(100) COLLATE utf8_hungarian_ci DEFAULT NULL,
`password` char(100) COLLATE utf8_hungarian_ci DEFAULT NULL,
`sex` enum('m','w') COLLATE utf8_hungarian_ci DEFAULT 'm',
`age` tinyint(4) DEFAULT NULL,
`active` enum('Y','N','D','S') COLLATE utf8_hungarian_ci DEFAULT 'N',
`date_add` datetime DEFAULT NULL,
`date_change` datetime DEFAULT NULL,
`data_policy_allowed` tinyint(4) DEFAULT 1,
`admin` tinyint(4) DEFAULT 0,
`trainer` tinyint(4) DEFAULT 0,
`trainer_id` int(11) DEFAULT 0,
`birth_year` int(4) DEFAULT 0,
`weight` int(3) DEFAULT 0,
`goal` char(250) COLLATE utf8_hungarian_ci DEFAULT '',
`fitness_level` enum('beginner','intermediate','advanced','professional') COLLATE utf8_hungarian_ci NOT NULL DEFAULT 'beginner',
`body_type` enum('ectomorph','mesomorph','endomorph') COLLATE utf8_hungarian_ci DEFAULT NULL,
`firebase_uid` char(200) COLLATE utf8_hungarian_ci DEFAULT NULL,
`sport_id` int(13) DEFAULT NULL,
`email_subscription` tinyint(1) DEFAULT NULL,
`synced_date` datetime DEFAULT NULL,
`trial_date` datetime DEFAULT NULL,
`firebase_reg_token` text COLLATE utf8_hungarian_ci DEFAULT NULL,
`lang` char(5) COLLATE utf8_hungarian_ci DEFAULT NULL,
`phone` char(50) COLLATE utf8_hungarian_ci DEFAULT NULL,
`life_long` tinyint(4) DEFAULT NULL,
`lang_sync` datetime DEFAULT NULL,
PRIMARY KEY (`customer_id`),
UNIQUE KEY `firebase_uid` (`firebase_uid`),
KEY `firebase_reg_token` (`firebase_reg_token`(1024)),
KEY `sport_id` (`sport_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Struktúra mentése tábla aitrainer2. customer_conversation
CREATE TABLE IF NOT EXISTS `customer_conversation` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`customer_id` int(11) NOT NULL DEFAULT 0,
`conversation_date` datetime DEFAULT NULL,
`question` text COLLATE utf8_hungarian_ci DEFAULT NULL,
`answer` text COLLATE utf8_hungarian_ci DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. customer_membership
CREATE TABLE IF NOT EXISTS `customer_membership` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`customer_id` int(11) NOT NULL DEFAULT 0,
`membership_id` int(11) NOT NULL DEFAULT 0,
`start_date` datetime DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE,
KEY `customer_id` (`customer_id`) USING BTREE,
KEY `membership_id` (`membership_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. customer_property
CREATE TABLE IF NOT EXISTS `customer_property` (
`customer_property_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`customer_id` int(10) unsigned NOT NULL DEFAULT 0,
`property_id` int(10) unsigned NOT NULL DEFAULT 0,
`property_value` double unsigned NOT NULL DEFAULT 0,
`date_add` datetime DEFAULT NULL,
`goal` tinyint(4) DEFAULT 0,
`goal_date` date DEFAULT NULL,
PRIMARY KEY (`customer_property_id`),
KEY `property_id` (`property_id`),
KEY `customer_id` (`customer_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. diet
CREATE TABLE IF NOT EXISTS `diet` (
`diet_id` int(11) NOT NULL AUTO_INCREMENT,
`diet_user_id` int(11) NOT NULL DEFAULT 0,
`diet_text` text COLLATE utf8_hungarian_ci DEFAULT NULL,
PRIMARY KEY (`diet_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. diet_meal
CREATE TABLE IF NOT EXISTS `diet_meal` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`diet_id` int(11) DEFAULT NULL,
`meal_name` char(100) COLLATE utf8_hungarian_ci NOT NULL DEFAULT '0' COMMENT 'i.e. monday|breakfast',
`meal` char(250) COLLATE utf8_hungarian_ci NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
KEY `meal_name` (`meal_name`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. diet_raw_material
CREATE TABLE IF NOT EXISTS `diet_raw_material` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`diet_meal_id` int(11) NOT NULL DEFAULT 0,
`raw_material_id` int(11) DEFAULT 0,
`kcal_min` int(11) DEFAULT 0,
`kcal_max` int(11) DEFAULT 0,
`protein_min` int(11) DEFAULT 0,
`protein_max` int(11) DEFAULT 0,
`ch_min` int(11) DEFAULT 0,
`ch_max` int(11) DEFAULT 0,
`fat_min` int(11) DEFAULT 0,
`fat_max` int(11) DEFAULT 0,
`sugar` int(11) DEFAULT 0,
`name` char(50) COLLATE utf8_hungarian_ci DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. diet_sensitivity
CREATE TABLE IF NOT EXISTS `diet_sensitivity` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` char(100) COLLATE utf8_hungarian_ci NOT NULL DEFAULT '0',
PRIMARY KEY (`id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. diet_user
CREATE TABLE IF NOT EXISTS `diet_user` (
`diet_user_id` int(11) NOT NULL AUTO_INCREMENT,
`customer_id` int(11) NOT NULL DEFAULT 0,
PRIMARY KEY (`diet_user_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. diet_user_consumption
CREATE TABLE IF NOT EXISTS `diet_user_consumption` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`diet_user_id` int(11) NOT NULL,
`raw_material_id` int(11) NOT NULL DEFAULT 0,
`date_consumption` datetime NOT NULL,
`name` char(100) COLLATE utf8_hungarian_ci DEFAULT NULL,
`quantity` double NOT NULL DEFAULT 0,
`quantity_unit` char(10) COLLATE utf8_hungarian_ci DEFAULT NULL,
`cal` int(11) DEFAULT NULL,
`protein` double DEFAULT NULL,
`fat` double DEFAULT NULL,
`ch` double DEFAULT NULL,
`sugar` double DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `diet_user_id` (`diet_user_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. diet_user_preference
CREATE TABLE IF NOT EXISTS `diet_user_preference` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`diet_user_id` int(11) NOT NULL DEFAULT 0,
`raw_material_id` int(11) NOT NULL DEFAULT 0,
`temperature` decimal(1,0) NOT NULL DEFAULT 0,
PRIMARY KEY (`id`) USING BTREE,
KEY `diet_user_id` (`diet_user_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. diet_user_sensitivity
CREATE TABLE IF NOT EXISTS `diet_user_sensitivity` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`sensitivity_id` int(11) NOT NULL DEFAULT 0,
`diet_user_id` int(11) NOT NULL DEFAULT 0,
PRIMARY KEY (`id`),
KEY `diet_user_id` (`diet_user_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. faq
CREATE TABLE IF NOT EXISTS `faq` (
`faq_id` int(11) NOT NULL AUTO_INCREMENT,
`name` char(200) COLLATE utf8_hungarian_ci NOT NULL,
`description` text COLLATE utf8_hungarian_ci DEFAULT NULL,
`sort` int(11) DEFAULT NULL,
PRIMARY KEY (`faq_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. faq_translation
CREATE TABLE IF NOT EXISTS `faq_translation` (
`translation_id` int(11) NOT NULL AUTO_INCREMENT,
`faq_id` int(11) NOT NULL DEFAULT 0,
`name_translation` char(200) COLLATE utf8_hungarian_ci NOT NULL DEFAULT '0',
`description_translation` text COLLATE utf8_hungarian_ci DEFAULT NULL,
`language_code` char(2) COLLATE utf8_hungarian_ci DEFAULT 'en',
PRIMARY KEY (`translation_id`) USING BTREE,
KEY `faq_id` (`faq_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Struktúra mentése tábla aitrainer2. membership
CREATE TABLE IF NOT EXISTS `membership` (
`membership_id` int(11) NOT NULL AUTO_INCREMENT,
`name` char(100) CHARACTER SET utf8mb4 NOT NULL,
`description` char(200) CHARACTER SET utf8mb4 DEFAULT NULL,
`duration` int(11) DEFAULT NULL,
`duration_type` enum('free','subscription','lifetime','limited') CHARACTER SET utf8mb4 DEFAULT NULL,
`duration_unit` enum('day','week','month','year') COLLATE utf8_hungarian_ci DEFAULT NULL,
`training_plan_id` int(11) DEFAULT 0,
`training_plan_day_ids` char(50) COLLATE utf8_hungarian_ci DEFAULT NULL,
PRIMARY KEY (`membership_id`) USING BTREE,
KEY `training_plan_id` (`training_plan_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. notification
CREATE TABLE IF NOT EXISTS `notification` (
`notification_id` int(11) NOT NULL AUTO_INCREMENT,
`internal_name` char(50) COLLATE utf8_hungarian_ci DEFAULT NULL,
`internal_description` mediumtext COLLATE utf8_hungarian_ci DEFAULT NULL,
`message_title` char(50) COLLATE utf8_hungarian_ci NOT NULL DEFAULT '',
`message_body` char(100) COLLATE utf8_hungarian_ci NOT NULL DEFAULT '',
`image_url` char(100) COLLATE utf8_hungarian_ci DEFAULT '',
`schedule_date` datetime DEFAULT NULL,
`schedule_hook` char(100) COLLATE utf8_hungarian_ci DEFAULT NULL,
`schedule_sql` mediumtext COLLATE utf8_hungarian_ci DEFAULT NULL,
`active` tinyint(1) DEFAULT 0,
PRIMARY KEY (`notification_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. notification_history
CREATE TABLE IF NOT EXISTS `notification_history` (
`notification_history_id` int(11) NOT NULL AUTO_INCREMENT,
`notification_id` int(11) NOT NULL,
`customer_id` int(11) NOT NULL,
`response` char(255) COLLATE utf8_hungarian_ci DEFAULT NULL,
`notification_date` datetime DEFAULT NULL,
PRIMARY KEY (`notification_history_id`),
KEY `notification_id` (`notification_id`),
KEY `customer_id` (`customer_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. product
CREATE TABLE IF NOT EXISTS `product` (
`product_id` int(11) NOT NULL AUTO_INCREMENT,
`name` char(50) NOT NULL,
`description` mediumtext DEFAULT NULL,
`app_version` char(50) NOT NULL,
`product_set` int(5) NOT NULL,
`sort` int(5) NOT NULL,
`type` enum('subscription','in-app-currency') NOT NULL DEFAULT 'subscription',
`valid_from` date DEFAULT NULL,
`valid_to` date DEFAULT NULL,
`product_id_ios` char(50) DEFAULT NULL,
`product_id_android` char(50) DEFAULT NULL,
`price_ios` float DEFAULT NULL,
`price_android` float DEFAULT NULL,
PRIMARY KEY (`product_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- Struktúra mentése tábla aitrainer2. property
CREATE TABLE IF NOT EXISTS `property` (
`property_id` int(11) NOT NULL AUTO_INCREMENT,
`property_name` char(50) COLLATE utf8_hungarian_ci DEFAULT NULL,
`property_unit` char(50) COLLATE utf8_hungarian_ci DEFAULT NULL,
PRIMARY KEY (`property_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. property_translation
CREATE TABLE IF NOT EXISTS `property_translation` (
`translation_id` int(13) NOT NULL AUTO_INCREMENT,
`language_code` char(2) NOT NULL DEFAULT 'en',
`property_id` int(13) NOT NULL DEFAULT 0,
`property_name` char(50) DEFAULT NULL,
PRIMARY KEY (`translation_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. purchase
CREATE TABLE IF NOT EXISTS `purchase` (
`purchase_id` int(11) NOT NULL AUTO_INCREMENT,
`customer_id` int(11) NOT NULL DEFAULT 0,
`product_id` int(11) NOT NULL DEFAULT 0,
`date_add` datetime DEFAULT NULL,
`purchase_sum` double(22,0) DEFAULT NULL,
`currency` char(3) DEFAULT NULL,
`expiring` datetime DEFAULT NULL,
PRIMARY KEY (`purchase_id`) USING BTREE,
KEY `customer_id` (`customer_id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. raw_material
CREATE TABLE IF NOT EXISTS `raw_material` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` char(100) COLLATE utf8_hungarian_ci NOT NULL,
`description` text COLLATE utf8_hungarian_ci DEFAULT NULL,
`kcal_min` int(11) DEFAULT 0,
`kcal_max` int(11) DEFAULT 0,
`protein_min` int(11) DEFAULT 0,
`protein_max` int(11) DEFAULT 0,
`ch_min` int(11) DEFAULT 0,
`ch_max` int(11) DEFAULT 0,
`fat_min` int(11) DEFAULT 0,
`fat_max` int(11) DEFAULT 0,
`sugar` int(11) DEFAULT 0,
`store_id` int(11) DEFAULT 0,
PRIMARY KEY (`id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci ROW_FORMAT=DYNAMIC;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. recipe
CREATE TABLE IF NOT EXISTS `recipe` (
`recipe_id` int(11) NOT NULL AUTO_INCREMENT,
`name` char(250) COLLATE utf8_hungarian_ci NOT NULL DEFAULT '',
`description` text COLLATE utf8_hungarian_ci DEFAULT NULL,
`cal` int(11) DEFAULT NULL,
`protein` double DEFAULT NULL,
`fat` double DEFAULT NULL,
`ch` double DEFAULT NULL,
`diet_user_id` int(11) DEFAULT 0,
PRIMARY KEY (`recipe_id`) USING BTREE,
KEY `name` (`name`),
KEY `diet_user_id` (`diet_user_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. recipe_raw_material
CREATE TABLE IF NOT EXISTS `recipe_raw_material` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`raw_material_id` int(11) NOT NULL DEFAULT 0,
`recipe_id` int(11) NOT NULL DEFAULT 0,
`quantity` int(11) DEFAULT 0,
`quantity_unit` char(10) COLLATE utf8_hungarian_ci DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. store
CREATE TABLE IF NOT EXISTS `store` (
`store_id` int(11) NOT NULL AUTO_INCREMENT,
`store_name` char(50) COLLATE utf8_hungarian_ci NOT NULL DEFAULT '',
`country` char(4) COLLATE utf8_hungarian_ci NOT NULL DEFAULT '',
PRIMARY KEY (`store_id`),
KEY `store_name` (`store_name`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
-- Az adatok exportálása nem lett kiválasztva.
-- Struktúra mentése tábla aitrainer2. tracking
CREATE TABLE IF NOT EXISTS `tracking` (
`tracking_id` int(20) NOT NULL AUTO_INCREMENT,
`customer_id` int(20) NOT NULL DEFAULT 0,
`date_add` datetime NOT NULL,
`event` char(100) COLLATE utf8_hungarian_ci DEFAULT NULL,
`event_value` text COLLATE utf8_hungarian_ci DEFAULT NULL,
`area` char(100) COLLATE utf8_hungarian_ci DEFAULT NULL,
`platform` char(20) COLLATE utf8_hungarian_ci DEFAULT NULL,
`version` char(20) COLLATE utf8_hungarian_ci DEFAULT NULL,
PRIMARY KEY (`tracking_id`) USING BTREE,
KEY `customer_id` (`customer_id`),
KEY `event` (`event`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_hungarian_ci;
INSERT INTO `customer` VALUES (54, 'Dummy User', '', 'bosi', '$2a$10$thOc8jS750c7xe9U9Qq3GuSPs/H0Pt2Ads05yzUlyzQBIj.Rk9QCy', 'm', 0, 'N', NULL, NULL, 1, 1, 0, 0, 0, 0, '', 'beginner', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
/*!40103 SET TIME_ZONE=IFNULL(@OLD_TIME_ZONE, 'system') */;
/*!40101 SET SQL_MODE=IFNULL(@OLD_SQL_MODE, '') */;
/*!40014 SET FOREIGN_KEY_CHECKS=IFNULL(@OLD_FOREIGN_KEY_CHECKS, 1) */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40111 SET SQL_NOTES=IFNULL(@OLD_SQL_NOTES, 1) */;

29
data/db/update_1_2_0.sql
View File

@ -12,7 +12,6 @@ COLLATE='utf8mb4_general_ci'
ENGINE=InnoDB
;
CREATE TABLE `diet_user` (
`diet_user_id` INT(11) NOT NULL AUTO_INCREMENT,
`customer_id` INT(11) NOT NULL DEFAULT '0',
@ -21,9 +20,33 @@ CREATE TABLE `diet_user` (
ENGINE=InnoDB
;
CREATE TABLE `diet` (
`diet_id` INT(11) NOT NULL AUTO_INCREMENT,
`diet_user_id` INT(11) NOT NULL DEFAULT '0',
`diet_text` TEXT NULL DEFAULT NULL COLLATE 'utf8mb4_general_ci',
`start_date` DATE NULL DEFAULT NULL,
PRIMARY KEY (`diet_id`) USING BTREE
)
COLLATE='utf8mb4_general_ci'
ENGINE=InnoDB
;
CREATE TABLE `diet_meal` (
`id` INT(11) NOT NULL AUTO_INCREMENT,
`diet_id` INT(11) NULL DEFAULT NULL,
`meal_name` CHAR(100) NOT NULL DEFAULT '0' COMMENT 'i.e. monday|breakfast' COLLATE 'utf8mb4_general_ci',
`meal` CHAR(250) NOT NULL DEFAULT '0' COLLATE 'utf8mb4_general_ci',
PRIMARY KEY (`id`) USING BTREE,
INDEX `meal_name` (`meal_name`) USING BTREE
)
COLLATE='utf8mb4_general_ci'
ENGINE=InnoDB
;
CREATE TABLE `diet_raw_material` (
`id` INT(11) NOT NULL AUTO_INCREMENT,
`diet_id` INT(11) NOT NULL DEFAULT '0',
`diet_meal_id` INT(11) NOT NULL DEFAULT '0',
`raw_material_id` INT(11) NULL DEFAULT '0',
`kcal_min` INT(11) NULL DEFAULT '0',
`kcal_max` INT(11) NULL DEFAULT '0',
@ -125,9 +148,11 @@ CREATE TABLE `recipe` (
`fat` DOUBLE NULL DEFAULT NULL,
`ch` DOUBLE NULL DEFAULT NULL,
`diet_user_id` INT(11) NULL DEFAULT '0',
`meal_id` INT(11) NULL DEFAULT NULL,
PRIMARY KEY (`recipe_id`) USING BTREE,
INDEX `name` (`name`) USING BTREE,
INDEX `diet_user_id` (`diet_user_id`) USING BTREE
INDEX `meal_id` (`meal_id`) USING BTREE
)
COLLATE='utf8mb4_general_ci'
ENGINE=InnoDB

1
readme.MD
View File

@ -30,5 +30,6 @@ Workout Test Club
* exercise_type_device
* deactivate customer
* diet tables
* openAI
with automatic database update

3
src/main/kotlin/com/aitrainer/api/ApiApplication.kt
View File

@ -9,6 +9,7 @@ import org.springframework.boot.autoconfigure.SpringBootApplication
import org.springframework.boot.builder.SpringApplicationBuilder
import org.springframework.context.annotation.Bean
@SpringBootApplication
class ApiApplication {
@Bean(name = ["jasyptStringEncryptor"])
@ -43,3 +44,5 @@ class ApiApplication {

5
src/main/kotlin/com/aitrainer/api/controller/CustomerController.kt
View File

@ -8,6 +8,7 @@ import com.aitrainer.api.service.EmailTemplateService
import com.aitrainer.api.service.Firebase
import org.slf4j.LoggerFactory
import org.springframework.beans.factory.annotation.Autowired
import org.springframework.beans.factory.annotation.Value
import org.springframework.http.HttpHeaders
import org.springframework.http.ResponseEntity
import org.springframework.security.access.annotation.Secured
@ -153,7 +154,7 @@ class CustomerController ( private val customerRepository: CustomerRepository) {
}
@PostMapping("/club_registration")
fun clubRegistration(@Valid @RequestBody json: String): ResponseEntity<*> {
fun clubRegistration(@Valid @RequestBody json: String, @Value("\${firebase.key}") apiKey: String): ResponseEntity<*> {
val newUser: ClubUser = ClubUser().fromJson(json)
@ -173,7 +174,7 @@ class CustomerController ( private val customerRepository: CustomerRepository) {
val stringCharacters = ('0'..'z').toList().toTypedArray()
val genPassword = (1..10).map { stringCharacters.random() }.joinToString("")
val firebase = Firebase()
val firebase = Firebase(apiKey)
val signupResponse = firebase.signUp(newUser.email, genPassword)
?: return ResponseEntity.badRequest().body("Firebase exception ${firebase.error}")

30
src/main/kotlin/com/aitrainer/api/controller/CustomerPackageController.kt
View File

@ -28,7 +28,8 @@ class CustomerPackageController( private val customerRepository: CustomerReposit
private val dietUserConsumptionRepository: DietUserConsumptionRepository,
private val dietUserRepository: DietUserRepository,
private val dietUserPreferenceRepository: DietUserPreferenceRepository,
private val dietUserSensitivityRepository: DietUserSensitivityRepository
private val dietUserSensitivityRepository: DietUserSensitivityRepository,
private val customerConversationRepository: CustomerConversationRepository
) {
@ -53,16 +54,10 @@ class CustomerPackageController( private val customerRepository: CustomerReposit
val customerJson: String = gson.toJson(customer)
val dietUserJson: String = gson.toJson(dietUser)
val listCustomerProperty = customerPropertyRepository.findLastPropertiesByCustomerId(customerId)
val listCustomerPropertyJson = gson.toJson(listCustomerProperty)
val listMembership = customerMembership.findAllByCustomer(customer)
val listMembershipJson = gson.toJson(listMembership)
val listDiet = dietRepository.findByDietUserId(dietUserId)
val listDietJson = gson.toJson(listDiet)
val listDietRawMaterial = dietRawMaterialRepository.findByDietId(dietUserId)
val listDietRawMaterial = dietRawMaterialRepository.findByDietMealId(dietUserId)
val listDietRawMaterialJson = gson.toJson(listDietRawMaterial)
val listDietUserConsumption = dietUserConsumptionRepository.findByDietUserId(dietUserId)
@ -74,17 +69,18 @@ class CustomerPackageController( private val customerRepository: CustomerReposit
val listDietUserSensitivity = dietUserSensitivityRepository.findByDietUserId(dietUserId)
val listDietUserSensitivityJson = gson.toJson(listDietUserSensitivity)
val listCustomerConversation = customerConversationRepository.findByCustomerId(customerId)
val listCustomerConversationJson = gson.toJson(listCustomerConversation)
val packageJson: String =
getClassRecord(Customer::class.simpleName, customerJson) +
"|||" + getClassRecord(DietUser::class.simpleName, dietUserJson)
"|||" + getClassRecord(CustomerProperty::class.simpleName, listCustomerPropertyJson)
"|||" + getClassRecord(CustomerMembership::class.simpleName, listMembershipJson)
"|||" + getClassRecord(Diet::class.simpleName, listDietJson)
"|||" + getClassRecord(DietRawMaterial::class.simpleName, listDietRawMaterialJson)
"|||" + getClassRecord(DietUserConsumption::class.simpleName, listDietUserConsumptionJson)
"|||" + getClassRecord(DietUserPreference::class.simpleName, listDietUserPreferenceJson)
"|||" + getClassRecord(DietUserSensitivity::class.simpleName, listDietUserSensitivityJson)
"|||" + getClassRecord(DietUser::class.simpleName, dietUserJson) +
"|||" + getClassRecord(Diet::class.simpleName, listDietJson) +
"|||" + getClassRecord(DietRawMaterial::class.simpleName, listDietRawMaterialJson) +
"|||" + getClassRecord(DietUserConsumption::class.simpleName, listDietUserConsumptionJson) +
"|||" + getClassRecord(DietUserPreference::class.simpleName, listDietUserPreferenceJson) +
"|||" + getClassRecord(DietUserSensitivity::class.simpleName, listDietUserSensitivityJson) +
"|||" + getClassRecord(CustomerConversation::class.simpleName, listCustomerConversationJson)
return if (packageJson.isEmpty()) ResponseEntity.notFound().build() else
ResponseEntity.ok().body(packageJson)

41
src/main/kotlin/com/aitrainer/api/controller/OpenAIController.kt
View File

@ -1,11 +1,10 @@
package com.aitrainer.api.controller
import com.aitrainer.api.model.OpenAI
import com.aitrainer.api.openai.OpenAIService
import kotlinx.coroutines.*
import org.slf4j.LoggerFactory
import org.springframework.web.bind.annotation.GetMapping
import org.springframework.web.bind.annotation.RequestMapping
import org.springframework.web.bind.annotation.RestController
import org.springframework.web.bind.annotation.*
@RestController
@RequestMapping("/api")
@ -13,10 +12,10 @@ class OpenAIController() {
private val logger = LoggerFactory.getLogger(javaClass)
@OptIn(DelicateCoroutinesApi::class)
@GetMapping("/openai/completion")
fun getOpenAIResponse(question: String) : String {
@PostMapping("/openai/completion")
fun getOpenAIResponse(@RequestBody question: String) : String {
var result = ""
val openAIService = OpenAIService()
val openAIService = OpenAIService(null, null)
val deferred = GlobalScope.async {
openAIService.completion(question)
}
@ -26,5 +25,35 @@ class OpenAIController() {
}
return result
}
@OptIn(DelicateCoroutinesApi::class)
@PostMapping("/openai/completion_with_model")
fun getOpenAIResponseWithModel(@RequestBody openai: OpenAI) : String {
var result = ""
val openAIService = OpenAIService(openai.modelName, openai.temperature)
val deferred = GlobalScope.async {
openAIService.completion(openai.question)
}
runBlocking {
result = deferred.await()
//println("Result: $result" )
}
return result
}
@OptIn(DelicateCoroutinesApi::class)
@GetMapping("/openai/list_models")
fun getOpenAIModels(): MutableList<String> {
var result = mutableListOf<String>()
val openAIService = OpenAIService(null, null)
val deferred = GlobalScope.async {
openAIService.getModels()
}
runBlocking {
result = deferred.await()
//println("Result: $result" )
}
return result
}
}

17
src/main/kotlin/com/aitrainer/api/controller/diet/DietController.kt
View File

@ -15,6 +15,23 @@ class DietController(private val dietRepository: DietRepository) {
return ResponseEntity.ok().body(dietRepository.save(diet))
}
@PostMapping("/diet/{id}")
fun update(@PathVariable(value = "id") id: Long, @RequestBody diet: Diet): ResponseEntity<Diet> {
val existingDiet = dietRepository.findByDietId(id) ?: return ResponseEntity.notFound().build()
val updatedDiet: Diet = existingDiet.copy(
dietId = diet.dietId,
dietUserId = diet.dietUserId,
dietText = diet.dietText,
startDate = diet.startDate
)
diet.meals.forEach {
it.diet = diet
updatedDiet.meals.add(it)
}
return ResponseEntity.ok().body(dietRepository.save(updatedDiet))
}
@GetMapping("/diet/{dietUserId}")
fun getByDietUserId(@PathVariable dietUserId: Long): ResponseEntity<List<Diet>> {
val list = dietRepository.findByDietUserId(dietUserId)

14
src/main/kotlin/com/aitrainer/api/controller/diet/DietCustomerController.kt
View File

@ -7,11 +7,10 @@ import com.aitrainer.api.model.diet.DietCustomer
import com.aitrainer.api.model.diet.DietUser
import com.aitrainer.api.repository.CustomerRepository
import com.aitrainer.api.repository.diet.DietUserRepository
import com.aitrainer.api.service.Email
import com.aitrainer.api.service.EmailTemplateService
import com.aitrainer.api.service.Firebase
import com.aitrainer.api.service.ServiceBeans
import org.springframework.beans.factory.annotation.Autowired
import org.springframework.beans.factory.annotation.Value
import org.springframework.http.ResponseEntity
import org.springframework.web.bind.annotation.*
import java.time.LocalDateTime
@ -25,11 +24,8 @@ class DietCustomerController(private val dietUserRepository: DietUserRepository,
@Autowired
var serviceBeans: ServiceBeans? = null
@Autowired
private var emailTemplateService: EmailTemplateService? = null
@PostMapping("/diet_registration")
fun insert(@RequestBody dietCustomerJson: String): ResponseEntity<*> {
fun insert(@RequestBody dietCustomerJson: String, @Value("\${firebase.key}") apiKey: String): ResponseEntity<*> {
val newDietCustomer: DietCustomer = DietCustomer().fromJson(dietCustomerJson)
if ( newDietCustomer.email.isEmpty()) {
@ -48,7 +44,7 @@ class DietCustomerController(private val dietUserRepository: DietUserRepository,
var existingCustomer: Customer? = customerRepository.findByEmailAndActive(newDietCustomer.email, "Y")
if (existingCustomer == null ) {
val firebase = Firebase()
val firebase = Firebase(apiKey)
val signupResponse = firebase.signUp(newDietCustomer.email, genPassword)
?: return ResponseEntity.badRequest().body("Firebase exception ${firebase.error}")
idToken = signupResponse.idToken
@ -125,7 +121,7 @@ class DietCustomerController(private val dietUserRepository: DietUserRepository,
}
// create email link
val activationLink = "https://diet4you.andio.hu/welcome/id=$idToken"
/*val activationLink = "https://diet4you.andio.hu/welcome/id=$idToken"
if ( emailTemplateService == null ) {
emailTemplateService = EmailTemplateService()
}
@ -134,7 +130,7 @@ class DietCustomerController(private val dietUserRepository: DietUserRepository,
// send email
val email = Email()
email.send(newDietCustomer.email, html, subject)
email.send(newDietCustomer.email, html, subject)*/
return ResponseEntity.ok().body(existingCustomer)
}

6
src/main/kotlin/com/aitrainer/api/controller/diet/DietRawMaterialController.kt
View File

@ -15,9 +15,9 @@ class DietRawMaterialController(private val dietRawMaterialRepository: DietRawMa
return ResponseEntity.ok().body(dietRawMaterialRepository.save(dietRawMaterial))
}
@GetMapping("/diet_raw_material/{dietId}")
fun getByDietUserId(@PathVariable dietId: Long): ResponseEntity<List<DietRawMaterial>> {
val list = dietRawMaterialRepository.findByDietId(dietId)
@GetMapping("/diet_raw_material/{dietMealId}")
fun getByDietUserId(@PathVariable dietMealId: Long): ResponseEntity<List<DietRawMaterial>> {
val list = dietRawMaterialRepository.findByDietMealId(dietMealId)
return if (list.isEmpty()) ResponseEntity.notFound().build() else
ResponseEntity.ok().body(list)
}

12
src/main/kotlin/com/aitrainer/api/controller/diet/RecipeController.kt
View File

@ -26,7 +26,8 @@ class RecipeController(private val recipeRepository: RecipeRepository) {
ch = recipe.ch,
fat = recipe.fat,
protein = recipe.protein,
dietUserId = recipe.dietUserId
dietUserId = recipe.dietUserId,
mealId = recipe.mealId
)
recipe.rawMaterials.forEach {
it.recipe = recipe
@ -42,13 +43,20 @@ class RecipeController(private val recipeRepository: RecipeRepository) {
ResponseEntity.ok().body(list)
}
@GetMapping("/recipe/{dietUserId}")
@GetMapping("/recipe/user/{dietUserId}")
fun getByDietUserId(@PathVariable dietUserId: Long): ResponseEntity<List<Recipe>> {
val list = recipeRepository.findByDietUserId(dietUserId)
return if (list == null) ResponseEntity.notFound().build() else
ResponseEntity.ok().body(list)
}
@GetMapping("/recipe/meal/{mealId}")
fun getByMealId(@PathVariable mealId: Long): ResponseEntity<List<Recipe>> {
val list = recipeRepository.findByMealId(mealId)
return if (list == null) ResponseEntity.notFound().build() else
ResponseEntity.ok().body(list)
}
@GetMapping("/recipe/name/{name}")
fun getByName(@PathVariable name: String): ResponseEntity<List<Recipe>> {
val list = recipeRepository.findByName(name)

13
src/main/kotlin/com/aitrainer/api/model/OpenAI.kt Normal file
View File

@ -0,0 +1,13 @@
package com.aitrainer.api.model
import com.google.gson.annotations.Expose
import jakarta.persistence.*
import org.springframework.lang.NonNull
@Entity
data class OpenAI (
@Expose @Id @GeneratedValue(strategy = GenerationType.IDENTITY) @get: NonNull var id: Long = 0,
@Expose @get: NonNull var question: String,
@Expose @get: NonNull var modelName: String? = null,
@Expose @get: NonNull var temperature: Double? = null,
)

26
src/main/kotlin/com/aitrainer/api/model/diet/Diet.kt
View File

@ -1,27 +1,19 @@
package com.aitrainer.api.model.diet
import com.google.gson.annotations.Expose
import jakarta.persistence.*
import org.hibernate.annotations.Fetch
import org.hibernate.annotations.FetchMode
import org.jetbrains.annotations.NotNull
@Entity
data class Diet (
@Id @GeneratedValue(strategy = GenerationType.IDENTITY) @Expose val dietId: Long = 0,
@Expose @get: NotNull val dietUserId: Long = 0,
@Expose @get: NotNull val dietText: String = "",
@Expose @get: NotNull val monday: String = "",
@Expose @get: NotNull val tuesday: String = "",
@Expose @get: NotNull val wednesday: String = "",
@Expose @get: NotNull val thursday: String = "",
@Expose @get: NotNull val friday: String = "",
@Expose @get: NotNull val saturday: String = "",
@Expose @get: NotNull val sunday: String = ""
)
@Expose @get: NotNull val startDate: String = "",
) {
@OneToMany(cascade = [(CascadeType.ALL)], fetch = FetchType.EAGER, mappedBy = "diet")
@Fetch(value = FetchMode.SUBSELECT)
@Expose val meals: MutableList<DietMeal> = mutableListOf()
}

19
src/main/kotlin/com/aitrainer/api/model/diet/DietMeal.kt Normal file
View File

@ -0,0 +1,19 @@
package com.aitrainer.api.model.diet
import com.fasterxml.jackson.annotation.JsonIgnore
import com.google.gson.annotations.Expose
import jakarta.persistence.*
import org.jetbrains.annotations.NotNull
@Entity
data class DietMeal (
@Id @GeneratedValue(strategy = GenerationType.IDENTITY) @Expose val id: Long = 0,
//@Expose @get: NotNull val dietId: Long = 0,
@Expose @get: NotNull val mealName: String = "",
@Expose @get: NotNull val meal: String = "",
) {
@ManyToOne(fetch = FetchType.EAGER, optional = false)
@JoinColumn(name = "dietId", nullable = false)
@JsonIgnore
var diet: Diet? = null
}

2
src/main/kotlin/com/aitrainer/api/model/diet/DietRawMaterial.kt
View File

@ -7,7 +7,7 @@ import org.jetbrains.annotations.NotNull
data class DietRawMaterial (
@Id @GeneratedValue(strategy = GenerationType.IDENTITY) @Expose val id: Long = 0,
@Expose @get: NotNull val dietId: Long = 0,
@Expose @get: NotNull val dietMealId: Long = 0,
@Expose @get: NotNull val rawMaterialId: Long = 0,
@Expose @get: NotNull val name: String = "",
@Expose @get: NotNull val kcalMin: Int = 0,

1
src/main/kotlin/com/aitrainer/api/model/diet/Recipe.kt
View File

@ -19,6 +19,7 @@ data class Recipe (
@Expose @get: NotNull val fat: Double = 0.0,
@Expose @get: NotNull val ch: Double = 0.0,
@Expose @get: NotNull val dietUserId: Long = 0,
@Expose @get: NotNull val mealId: Long = 0,
) {
@OneToMany(cascade = [(CascadeType.ALL)], fetch = FetchType.EAGER, mappedBy = "recipe")
@Fetch(value = FetchMode.SUBSELECT)

46
src/main/kotlin/com/aitrainer/api/openai/OpenAIService.kt
View File

@ -3,13 +3,15 @@ package com.aitrainer.api.openai
import com.aallam.openai.client.OpenAI
import com.aallam.openai.api.completion.CompletionRequest
import com.aallam.openai.api.completion.TextCompletion
import com.aallam.openai.api.logging.LogLevel
import com.aallam.openai.api.model.Model
import com.aallam.openai.api.model.ModelId
import com.aallam.openai.client.OpenAIConfig
import kotlinx.coroutines.Dispatchers
import kotlinx.coroutines.withContext
import java.util.Properties
class OpenAIService {
class OpenAIService(private val modelName: String?, private val temperature: Double?) {
private var openAI: OpenAI? = null
@ -24,7 +26,11 @@ class OpenAIService {
private var modelId: ModelId? = null
private suspend fun connect(modelName: String) {
openAI = OpenAI(properties.getProperty("openai.key"))
val config = OpenAIConfig(
token = properties.getProperty("openai.key"),
logLevel = LogLevel.All
)
openAI = OpenAI(config)
modelId = ModelId(modelName)
model = openAI!!.model(modelId!!)
@ -32,22 +38,46 @@ class OpenAIService {
suspend fun completion(question: String): String {
return withContext(Dispatchers.IO) {
if (openAI == null) {
connect("text-davinci-003")
var realModelName = "text-davinci-003"
if ( modelName != null) {
realModelName = modelName
}
var realTemperature = 0.1
if ( temperature != null ) {
realTemperature = temperature
}
if (openAI == null) {
connect(realModelName)
}
println("OpenAI Question: $question")
val completionRequest = CompletionRequest(
model = modelId!!,
prompt = question,
//echo = true,
maxTokens = 128,
temperature=0.1,
maxTokens = 2048 - question.length,
temperature=realTemperature,
)
val completion: TextCompletion = openAI!!.completion(completionRequest)
val result = completion.choices[0].text
//println("Completion: $result")
val result = completion.choices[0].text
result
}
}
suspend fun getModels(): MutableList<String> {
return withContext(Dispatchers.IO) {
if (openAI == null) {
openAI = OpenAI(token = properties.getProperty("openai.key"))
}
val list: MutableList<String> = mutableListOf()
openAI!!.models().forEach {
println(it)
list.add(it.id.id)
}
return@withContext list
}
}
}

2
src/main/kotlin/com/aitrainer/api/repository/diet/DietRawMaterialRepository.kt
View File

@ -6,5 +6,5 @@ import org.springframework.stereotype.Repository
@Repository
interface DietRawMaterialRepository : JpaRepository<DietRawMaterial, Long> {
fun findByDietId(dietId: Long): List<DietRawMaterial>
fun findByDietMealId(dietMealId: Long): List<DietRawMaterial>
}

4
src/main/kotlin/com/aitrainer/api/repository/diet/DietRepository.kt
View File

@ -2,9 +2,13 @@ package com.aitrainer.api.repository.diet
import com.aitrainer.api.model.diet.Diet
import org.springframework.data.jpa.repository.JpaRepository
import org.springframework.data.jpa.repository.Query
import org.springframework.stereotype.Repository
@Repository
interface DietRepository : JpaRepository<Diet, Long> {
fun findByDietUserId(dietUserId: Long): List<Diet>
@Query(" FROM Diet WHERE dietId = :dietId")
fun findByDietId(dietId: Long): Diet?
}

4
src/main/kotlin/com/aitrainer/api/repository/diet/RecipeRepository.kt
View File

@ -9,6 +9,10 @@ interface RecipeRepository : JpaRepository<Recipe, Int> {
fun findByName(name: String): List<Recipe>?
fun findByDietUserId(dietUserId: Long): List<Recipe>?
@Query(" FROM Recipe WHERE recipeId = :recipeId")
fun findByRecipeId(recipeId: Long): Recipe?
@Query(" FROM Recipe WHERE mealId = :mealId")
fun findByMealId(mealId: Long): List<Recipe>?
}

11
src/main/kotlin/com/aitrainer/api/service/Firebase.kt
View File

@ -2,18 +2,22 @@ package com.aitrainer.api.service
import com.aitrainer.api.model.firebase_response.SignupResponse
import com.google.gson.Gson
import org.json.JSONObject
import org.springframework.beans.factory.annotation.Value
import org.springframework.stereotype.Service
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
import java.nio.charset.StandardCharsets
import org.json.JSONObject
import java.util.*
class Firebase {
private val apiKey: String = "AIzaSyCUXBWV3_qzvV__ZWZA1siHftrrJpjDKh4"
@Service
class Firebase(@Value("\${firebase.key}") private val apiKey: String) {
private val firebaseBaseUrl: String = "https://identitytoolkit.googleapis.com/v1/accounts"
var statusCode: Int = 0
var error: String = ""
fun signUp(email: String, password: String): SignupResponse? {
val json = JSONObject()
@ -42,6 +46,7 @@ class Firebase {
}
private fun call(command: String, postData: String): String {
val apiKey = this.apiKey
val url = URI.create("$firebaseBaseUrl:$command?key=$apiKey")
// Create the HTTP request object

26
src/main/resources/application-diet.properties Normal file
View File

@ -0,0 +1,26 @@
#spring.config.activate.on-profile=dev,test,prod,prodtest
spring.config.use-legacy-processing = true
## Spring DATASOURCE (DataSourceAutoConfiguration & DataSourceProperties)
#spring.datasource.url = jdbc:mysql://localhost:3306/aitrainer?autoReconnect=true&useUnicode=true&characterEncoding=UTF-8&allowMultiQueries=true&useSSL=false
spring.datasource.url = jdbc:mysql://localhost:3306/diet4you?serverTimezone=CET&useSSL=false&characterEncoding=UTF-8&allowMultiQueries=true
spring.datasource.username = aitrainer
spring.datasource.password = ENC(WZplPYr8WmrLHshesY4T6oXplK3MlUVJ)
## Hibernate Properties
# The SQL dialect makes Hibernate generate better SQL for the chosen database
spring.jpa.properties.hibernate.dialect = org.hibernate.dialect.MySQLDialect
logging.config=classpath:logback-spring.xml
logging.file=logs
# if the database structure has been changed, increment this version number
application.version=1.2.0
jwt.secret=aitrainer
openai.key=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
firebase.key=AIzaSyBLn7Bz73Z1hB-OhqphBDsskOyGmpI7J8E
spring.mail.properties.mail.mime.charset=UTF-8

22
src/main/resources/application-dietprod.properties Normal file
View File

@ -0,0 +1,22 @@
spring.config.activate.on-profile=dietprod
spring.config.use-legacy-processing = true
## Spring DATASOURCE (DataSourceAutoConfiguration & DataSourceProperties)
spring.datasource.url = jdbc:mysql://mariadb-shared.db.svc.cluster.local:3306/diet4you?serverTimezone=CET&useSSL=true&characterEncoding=UTF-8&allowPublicKeyRetrieval=true&allowMultiQueries=true
spring.datasource.username = aitrainer
spring.datasource.password = ENC(WZplPYr8WmrLHshesY4T6oXplK3MlUVJ)
# The SQL dialect makes Hibernate generate better SQL for the chosen database
spring.jpa.properties.hibernate.dialect = org.hibernate.dialect.MySQLDialect
logging.config=classpath:logback-spring.xml
logging.file=logs
# if the database structue has been changed, increment this version number
application.version=1.2.0
jwt.secret=aitrainer
firebase.key=AIzaSyCUXBWV3_qzvV__ZWZA1siHftrrJpjDKh4
openai.key=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

3
src/main/resources/application-prod.properties
View File

@ -17,3 +17,6 @@ logging.file=logs
application.version=1.2.0
jwt.secret=aitrainer
firebase.key=AIzaSyCUXBWV3_qzvV__ZWZA1siHftrrJpjDKh4
openai.key=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

1
src/main/resources/application.properties
View File

@ -23,3 +23,4 @@ jwt.secret=aitrainer
openai.key=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
spring.mail.properties.mail.mime.charset=UTF-8
firebase.key=AIzaSyCUXBWV3_qzvV__ZWZA1siHftrrJpjDKh4

14
src/test/kotlin/com/aitrainer/api/test/AppCustomerPackageTest.kt
View File

@ -65,6 +65,9 @@ class AppCustomerPackageTest {
@Autowired
private lateinit var dietUserSensitivityRepository: DietUserSensitivityRepository
@Autowired
private lateinit var customerConversationRepository: CustomerConversationRepository
@Test
fun dietCustomerPackageTest() {
val gson = Gson()
@ -84,7 +87,8 @@ class AppCustomerPackageTest {
dietUserConsumptionRepository,
dietUserRepository,
dietUserPreferenceRepository,
dietUserSensitivityRepository
dietUserSensitivityRepository,
customerConversationRepository
)
val response = controller.getDietCustomerPackageData(2)
@ -103,8 +107,8 @@ class AppCustomerPackageTest {
val dietJson: String = record[1]
val type = object : TypeToken<List<Diet?>?>() {}.type
val list: List<Diet> = gson.fromJson(dietJson, type)
assertEquals(list[0].monday, "Monday meal")
assertEquals(list[0].dietText, "Test diet text")
assertEquals(list[0].meals[0].mealName, "monday|breakfast")
}
record[0] == DietRawMaterial::class.simpleName -> {
@ -169,7 +173,8 @@ class AppCustomerPackageTest {
dietUserConsumptionRepository,
dietUserRepository,
dietUserPreferenceRepository,
dietUserSensitivityRepository
dietUserSensitivityRepository,
customerConversationRepository
)
val response = controller.getCustomerClubPackageData(90)
@ -224,7 +229,8 @@ class AppCustomerPackageTest {
dietUserConsumptionRepository,
dietUserRepository,
dietUserPreferenceRepository,
dietUserSensitivityRepository )
dietUserSensitivityRepository,
customerConversationRepository)
var response: ResponseEntity<*> = controller.getCustomerPackageData(91)
assertEquals(response.statusCode, HttpStatus.NOT_FOUND)

14
src/test/kotlin/com/aitrainer/api/test/CustomerConversationTest.kt
View File

@ -14,6 +14,7 @@ import org.springframework.test.context.junit.jupiter.SpringExtension
import org.springframework.test.web.servlet.MockMvc
import org.springframework.test.web.servlet.request.MockMvcRequestBuilders.get
import org.springframework.test.web.servlet.request.MockMvcRequestBuilders.post
import org.springframework.test.web.servlet.result.MockMvcResultMatchers
import org.springframework.test.web.servlet.result.MockMvcResultMatchers.content
import org.springframework.test.web.servlet.result.MockMvcResultMatchers.status
@ -61,16 +62,7 @@ class CustomerConversationTest {
mockMvc.perform(get("/api/customer_conversation/123")
.header("Authorization", "Bearer $authToken"))
.andExpect(status().isOk)
.andExpect(content().json("""
[
{
"id": 1,
"customerId": 123,
"conversationDate": "2022-01-01 10:10:10",
"question": "What's up?",
"answer": "Not much."
}
]
""".trimIndent()))
.andExpect(MockMvcResultMatchers.jsonPath("$.[0].customerId").value(123))
.andExpect(MockMvcResultMatchers.jsonPath("$.[0].answer").value("Not much."))
}
}

5
src/test/kotlin/com/aitrainer/api/test/CustomerTests.kt
View File

@ -11,6 +11,7 @@ import org.junit.jupiter.api.BeforeAll
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.TestInstance
import org.springframework.beans.factory.annotation.Autowired
import org.springframework.beans.factory.annotation.Value
import org.springframework.boot.test.autoconfigure.web.servlet.AutoConfigureMockMvc
import org.springframework.boot.test.context.SpringBootTest
import org.springframework.http.HttpHeaders
@ -245,10 +246,10 @@ class CustomerTests {
}
@Test
fun testClubRegistration() {
fun testClubRegistration(@Value("\${firebase.key}") apiKey: String) {
val json = "{\"firstname\":\"Tib\", \"email\": \"mr@andio.biz\", \"goal\": \"shape\", \"fitnessLevel\": \"advanced\", \"weight\": 85}"
val controller = CustomerController(customerRepository)
val response: ResponseEntity<*> = controller.clubRegistration(json)
val response: ResponseEntity<*> = controller.clubRegistration(json, apiKey)
assertEquals(response.statusCode, HttpStatus.BAD_REQUEST)
}

6
src/test/kotlin/com/aitrainer/api/test/FirebaseTest.kt
View File

@ -4,6 +4,7 @@ import com.aitrainer.api.service.Firebase
import org.junit.jupiter.api.BeforeAll
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.TestInstance
import org.springframework.beans.factory.annotation.Value
import org.springframework.boot.test.context.SpringBootTest
import kotlin.test.assertEquals
import kotlin.test.assertTrue
@ -16,11 +17,12 @@ class FirebaseTest {
@BeforeAll
fun tearUp() {
this.firebase = Firebase()
}
@Test
fun testAuth() {
fun testAuth(@Value("\${firebase.key}") apiKey: String) {
this.firebase = Firebase(apiKey)
val email = "user@exemple.com"
val password = "verystrictpassword1"
val signupResponse = firebase.signUp(email, password)

10
src/test/kotlin/com/aitrainer/api/test/diet/DietRawMaterialTest.kt
View File

@ -28,7 +28,7 @@ class DietRawMaterialTest {
private lateinit var mockMvc: MockMvc
private val dietRawMaterial = DietRawMaterial(
dietId = 1,
dietMealId = 1,
rawMaterialId = 10,
name = "Tükörtojás",
kcalMin = 70,
@ -60,17 +60,13 @@ class DietRawMaterialTest {
.content(toJson(dietRawMaterial))
)
.andExpect(status().isOk)
.andExpect(jsonPath("$.dietId").value(1))
.andExpect(jsonPath("$.dietMealId").value(1))
.andExpect(jsonPath("$.rawMaterialId").value(10))
.andExpect(jsonPath("$.proteinMax").value(25))
}
@Test
fun `get dietRawMaterial list by dietId id successfully`() {
// Act & Assert
mockMvc.perform(get("/api/diet_raw_material/{dietId}", 1)
mockMvc.perform(get("/api/diet_raw_material/{dietMealId}", 1)
.header("Authorization", "Bearer $authToken")
.contentType(MediaType.APPLICATION_JSON))
.andExpect(status().isOk)

54
src/test/kotlin/com/aitrainer/api/test/diet/DietTest.kt
View File

@ -1,6 +1,7 @@
package com.aitrainer.api.test.diet
import com.aitrainer.api.model.diet.Diet
import com.aitrainer.api.model.diet.DietMeal
import com.aitrainer.api.test.Tokenizer
import com.google.gson.Gson
import org.junit.jupiter.api.BeforeAll
@ -13,6 +14,7 @@ import org.springframework.boot.test.context.SpringBootTest
import org.springframework.http.MediaType
import org.springframework.test.context.junit.jupiter.SpringExtension
import org.springframework.test.web.servlet.MockMvc
import org.springframework.test.web.servlet.MvcResult
import org.springframework.test.web.servlet.request.MockMvcRequestBuilders
import org.springframework.test.web.servlet.request.MockMvcRequestBuilders.get
import org.springframework.test.web.servlet.result.MockMvcResultMatchers.*
@ -31,13 +33,6 @@ class DietTest {
private val diet = Diet(
dietUserId = 1,
dietText = "Test diet text",
monday = "Monday meal",
tuesday = "Tuesday meal",
wednesday = "Wednesday meal",
thursday = "Thursday meal",
friday = "Friday meal",
saturday = "Saturday meal",
sunday = "Sunday meal"
)
private var authToken: String? = ""
@ -50,10 +45,8 @@ class DietTest {
@Test
fun `insert diet successfully`() {
// Arrange
//given(dietRepository.save(diet)).willReturn(diet)
mockMvc.perform(
val mvcResult: MvcResult = mockMvc.perform(
MockMvcRequestBuilders.post("/api/diet")
.contentType(MediaType.APPLICATION_JSON)
.header("Authorization", "Bearer $authToken")
@ -61,16 +54,49 @@ class DietTest {
)
.andExpect(status().isOk)
.andExpect(jsonPath("$.dietUserId").value(1))
.andReturn()
}
val gson= Gson()
val newDietJson = mvcResult.response.contentAsString
val newDiet = gson.fromJson(newDietJson, Diet::class.java)
@Test
fun `get diet list by dietUserId id successfully`() {
mockMvc.perform(get("/api/diet/{dietUserId}", 1)
.header("Authorization", "Bearer $authToken")
.contentType(MediaType.APPLICATION_JSON))
.andExpect(status().isOk)
.andExpect(jsonPath("$.[0].monday").value("Monday meal"))
.andExpect(jsonPath("$.[0].dietText").value("Test diet text"))
val meal = DietMeal(
mealName = "monday|breakfast",
meal = "Főtt tojás"
)
val meal2 = DietMeal(
mealName = "monday|lunch",
meal = "Disznópörkölt"
)
val meal3 = DietMeal(
mealName = "monday|lunch",
meal = "Savanyúkáposzta"
)
newDiet.meals.add(meal)
newDiet.meals.add(meal2)
newDiet.meals.add(meal3)
//update
mockMvc.perform(
MockMvcRequestBuilders.post("/api/diet/${newDiet.dietId}")
.contentType(MediaType.APPLICATION_JSON)
.header("Authorization", "Bearer $authToken")
.content(toJson(newDiet))
)
.andExpect(status().isOk)
.andExpect(jsonPath("$.dietUserId").value(1))
.andExpect(jsonPath("$.meals[0].meal").value("Főtt tojás"))
.andExpect(jsonPath("$.meals[1].mealName").value("monday|lunch"))
}
private fun toJson(obj: Any): String {

14
src/test/kotlin/com/aitrainer/api/test/diet/RecipeTest.kt
View File

@ -38,6 +38,7 @@ class RecipeTest {
fat = 56.0,
ch = 23.0,
dietUserId = 4,
mealId = 0
)
private val recipe2 = Recipe(
name = "Mákos tészta",
@ -46,7 +47,7 @@ class RecipeTest {
protein = 19.0,
fat = 30.0,
ch = 78.0,
dietUserId = 4,
dietUserId = 4
)
private val recipe3 = Recipe(
@ -57,6 +58,7 @@ class RecipeTest {
fat = 30.0,
ch = 34.0,
dietUserId = 1,
mealId = 1
)
private var authToken: String? = ""
@ -154,7 +156,7 @@ class RecipeTest {
// Act & Assert
mockMvc.perform(get("/api/recipe/4")
mockMvc.perform(get("/api/recipe/user/4")
.header("Authorization", "Bearer $authToken")
.contentType(MediaType.APPLICATION_JSON))
.andExpect(status().isOk)
@ -163,7 +165,6 @@ class RecipeTest {
.andExpect(jsonPath("$.[0].rawMaterials.[1].rawMaterialId").value(3))
// Act & Assert
mockMvc.perform(get("/api/recipe/name/leves")
.header("Authorization", "Bearer $authToken")
.contentType(MediaType.APPLICATION_JSON))
@ -172,6 +173,13 @@ class RecipeTest {
.andExpect(jsonPath("$.[1].name").value("Borsóleves"))
.andExpect(jsonPath("$.[0].rawMaterials.[1].rawMaterialId").value(3))
// GET by User ID
mockMvc.perform(get("/api/recipe/meal/1")
.header("Authorization", "Bearer $authToken")
.contentType(MediaType.APPLICATION_JSON))
.andExpect(status().isOk)
.andExpect(jsonPath("$.[0].name").value("Borsóleves"))
}
private fun toJson(obj: Any): String {

84
src/test/kotlin/com/aitrainer/api/test/openai/OpenAITest.kt Normal file
View File

@ -0,0 +1,84 @@
package com.aitrainer.api.test.openai
import com.aitrainer.api.model.OpenAI
import com.aitrainer.api.test.Tokenizer
import com.google.gson.Gson
import org.junit.jupiter.api.BeforeAll
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.TestInstance
import org.junit.jupiter.api.extension.ExtendWith
import org.springframework.beans.factory.annotation.Autowired
import org.springframework.boot.test.autoconfigure.web.servlet.AutoConfigureMockMvc
import org.springframework.boot.test.context.SpringBootTest
import org.springframework.http.MediaType
import org.springframework.test.context.junit.jupiter.SpringExtension
import org.springframework.test.web.servlet.MockMvc
import org.springframework.test.web.servlet.request.MockMvcRequestBuilders
import org.springframework.test.web.servlet.result.MockMvcResultMatchers
@ExtendWith(SpringExtension::class)
@SpringBootTest
@AutoConfigureMockMvc
@TestInstance(TestInstance.Lifecycle.PER_CLASS)
class OpenAITest {
@Autowired
private lateinit var mockMvc: MockMvc
private var authToken: String? = ""
@BeforeAll
fun initTest() {
authToken = Tokenizer.getToken()
}
@Test
fun `get a question successfully`() {
val question = "Who the f. is Alice?"
mockMvc.perform(
MockMvcRequestBuilders.get("/api/openai/completion")
.contentType(MediaType.APPLICATION_JSON)
.header("Authorization", "Bearer $authToken")
.content(question)
)
.andExpect(MockMvcResultMatchers.status().isOk)
//.andExpect(MockMvcResultMatchers.content().string("Sorry I dont know"))
}
@Test
fun `get a question successfully with model name`() {
val question = "Who the f. is Alice? Who sing that song?"
val openai = OpenAI(
question = question,
modelName = "text-ada-001",
temperature = 0.5
)
mockMvc.perform(
MockMvcRequestBuilders.post("/api/openai/completion_with_model")
.contentType(MediaType.APPLICATION_JSON)
.header("Authorization", "Bearer $authToken")
.content(toJson(openai))
)
.andExpect(MockMvcResultMatchers.status().isOk)
//.andExpect(MockMvcResultMatchers.content().string("Sorry I dont know"))
}
@Test
fun `get models successfully`() {
mockMvc.perform(
MockMvcRequestBuilders.get("/api/openai/list_models")
.contentType(MediaType.APPLICATION_JSON)
.header("Authorization", "Bearer $authToken")
)
.andExpect(MockMvcResultMatchers.status().isOk)
}
private fun toJson(obj: Any): String {
return Gson().toJson(obj)
}
}