Nutrition Overengineering

Application to calc healthcare and nutrition metrics, but using the most over engineered as possible

"Caraca Matheus, tu é idiota??? "Sim"

Overenginner Microservices Summary

• health-api: REST Interface for product. Using orchestrator pattern.
• bmr-grpc: gRPC Microservice to calc Basal Metabolic Rate
• imc-grpc: gRPC Microservice to calc IMC
• recommendations-grpc: gRPC Microservice to summarize diet recommendations and contabilize Macros
• proteins-grpc: gRPC Microservice to calc daily protein necessity
• water-grpc: gRPC Microservice to calc daily water ingestion
• calories-grpc: gRPC to calc calories ingestion necessity
• frontend: VueJS SPA

Docker Images

Application	Image
health-api	fidelissauro/health-api:latest
bmr-grpc-service	fidelissauro/bmr-grpc-service:latest
imc-grpc-service	fidelissauro/imc-grpc-service:latest
water-grpc-service	fidelissauro/water-grpc-service:latest
calories-grpc-service	fidelissauro/calories-grpc-service:latest
proteins-grpc-service	fidelissauro/proteins-grpc-service:latest
recommendations-grpc-service	fidelissauro/recommendations-grpc-service:latest

Workflow

API

Usage

curl --location --request POST '0.0.0.0:8080/calculator' \
--header 'Content-Type: application/json' \
--data-raw '{ 
   "age": 26,
   "weight": 90.0,
   "height": 1.77,
   "gender": "M", 
   "activity_intensity": "very_active"
} ' --silent | jq .

{
    "status": 200,
    "imc": {
        "result": 28.72737719046251,
        "class": "overweight"
    },
    "basal": {
        "bmr": {
            "value": 2011.7,
            "unit": "kcal"
        },
        "necessity": {
            "value": 3470.1825000000003,
            "unit": "kcal"
        }
    },
    "health_info": {
        "age": 26,
        "weight": 90,
        "height": 1.77,
        "gender": "M",
        "activity_intensity": "very_active"
    },
    "recomendations": {
        "protein": {
            "value": 180,
            "unit": "g"
        },
        "water": {
            "value": 3150,
            "unit": "ml"
        },
        "calories": {
            "maintain_weight": {
                "value": 3470.1825000000003,
                "unit": "kcal"
            },
            "loss_weight": {
                "value": 3123.1642500000003,
                "unit": "kcal"
            },
            "gain_weight": {
                "value": 5205.27375,
                "unit": "kcal"
            }
        }
    }
}

Jaeger and Zipkin

Using Tracing between services

To use jaeger tracing with zipkin you can specify environment variable called ZIPKIN_COLLECTOR_ENDPOINT.

export ZIPKIN_COLLECTOR_ENDPOINT=http://jaeger:9411/api/v2/spans

TODO

• Refactor communication lib
• Customize log lib for trace id
• Error Handling and Retries
• Implement Prometheus HTTP Endpoint
• Create Kubernetes Deployment
• Create Istio Manifests to Service Mesh gRPC Optimizations

Notes

brew install grpc protobuf protoc-gen-go-grpc
protoc --proto_path=proto/bmr --go_out=proto/bmr --go_out=plugins=grpc:bmr --go_opt=paths=source_relative proto/bmr/bmr.proto
protoc --go_out=plugins=grpc:bmr bmr.proto