path: root/datacollector/README.md

# DataCollector R-APP

DataCollector R-APP is a Java SpringBoot application for consuming PM VES data from DMaaP and store it into DB. Also
DataCollector R-APP provides API to query aggregated metrics from PM VES data and User Equipment info.

## Use of DataCollector R-APP

### Configuration

DataCollector R-APP needs several parameters to be defined before start. All parameters are passed through environment
variables

To customize DB connection you need to create database schema. To do this use `init.sql` script under **src/main/docker/**.
Additionally, you can use `start.sh` after you build DataCollector R-APP (please see **Build DataCollector R-APP** chapter). Those actions will create database schema and run the application.
Also, you will need to set the following environment variables:

- DATABASE_URL
- DATABASE_USERNAME
- DATABASE_PASSWORD

To customize VES connectivity you need to set the following:

- DMAAP_HOST
- DMAAP_POR
- DMAAP_MEASUREMENTS_TOPIC

Example configuration in environment variables in application.yml:

```
server:
  port: 8087
dmaap:
  prtocol: "http"
  host: "localhost"
  port: 8181
  measurements-topic: "measurements"
database:
  host: mariadb-host
  port: 3306
  name: "ves"
  username: ves
  driver-class-name: "org.mariadb.jdbc.Driver"
logging:
  level:
    org:
      springframework: DEBUG
  logging.file.name: logs/rapp-datacollector.log
  pattern:
    console: "%d %-5level %logger : %msg%n"
    file: "%d %-5level [%thread] %logger : %msg%n"
spring:
  autoconfigure:
    exclude:
      - org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration
  main:
    allow-bean-definition-overriding: true

```

After startup DataCollector R-APP is ready to read VES Events from DMaaP and stores them in database if they are flowing
into DMaaP. DataCollector R-APP supports legacy VES event as well as Perf3gpp VES event produced by PM Mapper.

VES Event example

```json
{
  "event": {
    "commonEventHeader": {
      "version": "4.0.1",
      "vesEventListenerVersion": "7.0.1",
      "sourceId": "de305d54-75b4-431b-adb2-eb6b9e546014",
      "reportingEntityName": "ibcx0001vm002oam001",
      "startEpochMicrosec": 1603293000000000,
      "eventId": "measurement0000259",
      "lastEpochMicrosec": 1603292917149000,
      "priority": "Normal",
      "sequence": 3,
      "sourceName": "ibcx0001vm002ssc001",
      "domain": "measurement",
      "eventName": "Measurement_vIsbcMmc",
      "reportingEntityId": "cc305d54-75b4-431b-adb2-eb6b9e541234",
      "nfcNamingCode": "ssc",
      "nfNamingCode": "ibcx"
    },
    "measurementFields": {
      "measurementInterval": 5,
      "measurementFieldsVersion": "4.0",
      "additionalMeasurements": [
        {
          "name": "latency",
          "hashMap": {
            "value": "86"
          }
        },
        {
          "name": "throughput",
          "hashMap": {
            "value": "25"
          }
        },
        {
          "name": "identifier",
          "hashMap": {
            "value": "Cell1"
          }
        },
        {
          "name": "trafficModel",
          "hashMap": {
            "mobile_samsung_s10_01": "10"
          }
        }
      ]
    }
  }
}
```

Information about performance is situated in "additionalMeasurements" section, consisting of latency and throughput parameters of performance, identifier of event producer and trafficModel with user equipment information.

PM Mapper Perf3gpp VES event

```json
{
  "event":{
    "commonEventHeader":{
      "domain":"perf3gpp",
      "eventId":"ddd48497-913c-451f-a396-2316a29e5975",
      "sequence":0,
      "eventName":"perf3gpp_PE-Samsung_pmMeasResult",
      "sourceName":"someVnfName",
      "reportingEntityName":"",
      "priority":"Normal",
      "startEpochMicrosec":1626352192000,
      "lastEpochMicrosec":1626352222000,
      "version":"4.0",
      "vesEventListenerVersion":"7.1",
      "timeZoneOffset":"+02:00"
    },
    "perf3gppFields":{
      "perf3gppFieldsVersion":"1.0",
      "measDataCollection":{
        "granularityPeriod":16262192000,
        "measuredEntityUserName":"ORAN PE Sim",
        "measuredEntityDn":"",
        "measuredEntitySoftwareVersion":"",
        "measInfoList":[
          {
            "measInfoId":{
              "sMeasInfoId":""
            },
            "measTypes":{
              "sMeasTypesList":[
                "latency",
                "throughput"
              ]
            },
            "measValuesList":[
              {
                "measObjInstId":"Chn0000",
                "suspectFlag":"false",
                "measResults":[
                  {
                    "p":1,
                    "sValue":"110"
                  },
                  {
                    "p":2,
                    "sValue":"55"
                  }
                ]
              }
            ]
          },
          {
            "measInfoId":{
              "sMeasInfoId":""
            },
            "measTypes":{
              "sMeasTypesList":[
                "latency"
              ]
            },
            "measValuesList":[
              {
                "measObjInstId":"Chn0000",
                "suspectFlag":"false",
                "measResults":[
                  {
                    "p":1,
                    "sValue":"101"
                  }
                ]
              }
            ]
          },
          {
            "measInfoId":{
              "sMeasInfoId":""
            },
            "measTypes":{
              "sMeasTypesList":[
                "latency"
              ]
            },
            "measValuesList":[
              {
                "measObjInstId":"Chn0000",
                "suspectFlag":"false",
                "measResults":[
                  {
                    "p":1,
                    "sValue":"135"
                  }
                ]
              }
            ]
          },
          {
            "measInfoId":{
              "sMeasInfoId":""
            },
            "measTypes":{
              "sMeasTypesList":[
                "latency"
              ]
            },
            "measValuesList":[
              {
                "measObjInstId":"Chn0000",
                "suspectFlag":"false",
                "measResults":[
                  {
                    "p":1,
                    "sValue":"100"
                  }
                ]
              }
            ]
          }
        ]
      }
    }
  }
}
```

In this case information about performance is situated in "measDataCollection" section, consisting of latency and throughput parameters of performance, identifier of event producer and trafficModel with user equipment information.
As PM Mapper is not maintaining the exact time of each event, that times are calculated in following way: (lastEpochMicrosec - startEpochMicrosec)/ number of events.

DataCollector R-APP provides two endpoints to access data of stored VES Events:

1. `{datacollectorhost}/v1/pm/ues`

Returns list of user equipments from VES Events stored into database:

```json
{
  "ues": [
    "mobile_samsung_s10_01"
  ]
}
```

2. `{datacollectorhost}/v1/pm/events/aggregatedmetrics`

To call the endpoint you have to define 3 query parameters:

1.Slot - aggregation period (in seconds) for which an average performance metrics are calculated

2.Count - number of aggregated performance metrics that should be returned by the method, one aggergated performance
metric per each slot. The first performance metrics is average metrics for (startTime, startTime +slot)

3.startTime - ISO 8601 time format as string (e.g., 2020-10-26T06:52:54.01+00:00) for which aggregated performance
metrics are calculated with the pm ves data starting from startTime. "+" and "." signs must be properly encoded in url

Example
URL: `{{datacollectorhost}}/v1/pm/events/aggregatedmetrics?slot=10&count=12&startTime=2021-03-31T15%3A00%3A00.0Z`
This request will return aggregated metrics from two minutes starting from 2021.03.31-15:30:00.0

Aggregated Metrics response example:

```json
{
  "pm": [
    {
      "cellId": "Cell1",
      "performance": [
        {
          "latency": 50,
          "throughput": 80
        },
        {
          "latency": 50,
          "throughput": 80
        },
        {
          "latency": 50,
          "throughput": 80
        }
      ]
    }
  ],
  "itemsLength": 1
}
```

# API

The API is documented by the Swagger tool.

## Swagger

JSON file that can be imported to Swagger GUI can be found in *doc/swagger*. Those files are regenerated in each maven
build, so to generate this file please see **Build DataCollector R-APP** chapter.

# Developer Guide

## Build DataCollector R-APP

Following mvn command (in the current directory) will build DataCollector R-APP:

```bash
mvn clean install
```

## Run DataCollector R-APP

Following command will run DataCollector R-APP:

```bash
java -jar datacollector-0.0.1-SNAPSHOT.jar org.onap.rapp.DataCollectorApplication
```

## Logging

The log file will be created in the /log path. Parameters of logging are in application.yml file.
After DataCollector R-APP starts successfully, log/rapp-datacollector.log should start to contain the logs:

```
.
└──log
    └── rapp-datacollector.log
```