From 8633015b3231649faeaf58ed258658733a870fef Mon Sep 17 00:00:00 2001 From: Sami Saily Date: Wed, 8 Dec 2021 12:52:17 +0200 Subject: [PATCH] Add IoT solution example --- solutions/iot/weather-stations/.gitignore | 70 ++ solutions/iot/weather-stations/.gitmodules | 4 + solutions/iot/weather-stations/LICENSE | 201 +++++ solutions/iot/weather-stations/README.md | 53 ++ .../iot/weather-stations/database/README.md | 3 + .../iot/weather-stations/database/create.sql | 3 + .../database/import-stations.sh | 7 + .../iot/weather-stations/get-demo-secrets.sh | 48 ++ .../iot/weather-stations/infra/README.md | 15 + .../iot/weather-stations/infra/connector.tf | 162 ++++ .../infra/kafka_service_users.tf | 127 +++ .../weather-stations/infra/kafka_services.tf | 71 ++ .../iot/weather-stations/infra/kafka_topic.tf | 128 +++ solutions/iot/weather-stations/infra/m3.tf | 75 ++ solutions/iot/weather-stations/infra/main.tf | 13 + .../iot/weather-stations/infra/opensearch.tf | 16 + solutions/iot/weather-stations/infra/pg.tf | 18 + .../infra/secrets.tfvars.template | 5 + .../iot/weather-stations/infra/variables.tf | 7 + .../k8s/create-k8s-secrets.sh | 36 + .../weather-stations/k8s/deploy-ingest.yaml | 68 ++ .../k8s/deploy-processing.yaml | 201 +++++ .../iot/weather-stations/k8s/deploy-sink.yaml | 66 ++ .../iot/weather-stations/k8s/ksqldb.yaml | 99 +++ .../weather-stations/k8s/kustomization.yaml | 27 + .../iot/weather-stations/k8s/namespace.yaml | 4 + .../iot/weather-stations/k8s/secrets.yaml | 9 + .../iot/weather-stations/m3-sink/Dockerfile | 17 + .../iot/weather-stations/m3-sink/README.md | 3 + .../weather-stations/m3-sink/requirements.txt | 4 + .../iot/weather-stations/m3-sink/src/sink.py | 114 +++ .../machinelearning/multi-step-models.ipynb | 748 ++++++++++++++++++ .../predict-kafka-dataset.ipynb | 351 ++++++++ .../machinelearning/vantaa-2017-2020.csv.gz | Bin 0 -> 2192281 bytes .../observability/Dockerfile.highlander | 19 + .../weather-stations/observability/README.md | 49 ++ .../observability/k8s/highlander.yaml | 47 ++ .../k8s/prometheus-servicemonitor.yaml | 64 ++ .../opensearch/fluentbit-configmap.yaml | 135 ++++ .../opensearch/fluentbit-daemonset.yaml | 63 ++ .../opensearch/fluentbit-rbac.yaml | 34 + .../observability/prometheus/build.sh | 24 + .../prometheus/create-m3-secret.sh | 6 + .../prometheus/example-0.7.jsonnet | 43 + .../prometheus/example-0.9.jsonnet | 39 + .../observability/prometheus/example.jsonnet | 30 + .../iot/weather-stations/producer/Dockerfile | 17 + .../iot/weather-stations/producer/README.md | 9 + .../weather-stations/producer/kafkacat.conf | 5 + .../producer/requirements.txt | 4 + .../weather-stations/producer/src/ingest.py | 82 ++ .../streamprocessing/Dockerfile | 9 + .../streamprocessing/README.md | 15 + .../streamprocessing/build.gradle | 50 ++ .../gradle/wrapper/gradle-wrapper.jar | Bin 0 -> 59203 bytes .../gradle/wrapper/gradle-wrapper.properties | 5 + .../weather-stations/streamprocessing/gradlew | 185 +++++ .../streamprocessing/gradlew.bat | 89 +++ .../jmx-config/kafka-client.yaml | 108 +++ .../streamprocessing/settings.gradle | 8 + .../src/main/avro/countandsum.avsc | 27 + .../src/main/avro/digitraffic.avsc | 46 ++ .../src/main/avro/digitrafficaggr.avsc | 27 + .../main/avro/digitrafficmultivariate.avsc | 31 + .../src/main/avro/weatherstation.avsc | 27 + .../aiven/streams/CalculationsTopology.java | 94 +++ .../io/aiven/streams/CreateMultivariate.java | 90 +++ .../io/aiven/streams/EnrichmentTopology.java | 121 +++ .../io/aiven/streams/KafkaStreamsConfig.java | 59 ++ .../ObservationTimestampExtractor.java | 21 + .../io/aiven/streams/StreamsApplication.java | 13 + .../src/main/resources/application.yml | 17 + .../src/main/resources/logback-spring.xml | 25 + .../io/aiven/streams/CalculationsTests.java | 134 ++++ .../io/aiven/streams/EnrichmentTests.java | 177 +++++ .../src/test/resources/application.yml | 5 + .../src/test/resources/logback-test.xml | 25 + .../src/test/resources/station.avsc | 55 ++ 78 files changed, 4906 insertions(+) create mode 100644 solutions/iot/weather-stations/.gitignore create mode 100644 solutions/iot/weather-stations/.gitmodules create mode 100644 solutions/iot/weather-stations/LICENSE create mode 100644 solutions/iot/weather-stations/README.md create mode 100644 solutions/iot/weather-stations/database/README.md create mode 100644 solutions/iot/weather-stations/database/create.sql create mode 100755 solutions/iot/weather-stations/database/import-stations.sh create mode 100755 solutions/iot/weather-stations/get-demo-secrets.sh create mode 100644 solutions/iot/weather-stations/infra/README.md create mode 100644 solutions/iot/weather-stations/infra/connector.tf create mode 100644 solutions/iot/weather-stations/infra/kafka_service_users.tf create mode 100644 solutions/iot/weather-stations/infra/kafka_services.tf create mode 100644 solutions/iot/weather-stations/infra/kafka_topic.tf create mode 100644 solutions/iot/weather-stations/infra/m3.tf create mode 100644 solutions/iot/weather-stations/infra/main.tf create mode 100644 solutions/iot/weather-stations/infra/opensearch.tf create mode 100644 solutions/iot/weather-stations/infra/pg.tf create mode 100644 solutions/iot/weather-stations/infra/secrets.tfvars.template create mode 100644 solutions/iot/weather-stations/infra/variables.tf create mode 100755 solutions/iot/weather-stations/k8s/create-k8s-secrets.sh create mode 100644 solutions/iot/weather-stations/k8s/deploy-ingest.yaml create mode 100644 solutions/iot/weather-stations/k8s/deploy-processing.yaml create mode 100644 solutions/iot/weather-stations/k8s/deploy-sink.yaml create mode 100644 solutions/iot/weather-stations/k8s/ksqldb.yaml create mode 100644 solutions/iot/weather-stations/k8s/kustomization.yaml create mode 100644 solutions/iot/weather-stations/k8s/namespace.yaml create mode 100644 solutions/iot/weather-stations/k8s/secrets.yaml create mode 100644 solutions/iot/weather-stations/m3-sink/Dockerfile create mode 100644 solutions/iot/weather-stations/m3-sink/README.md create mode 100644 solutions/iot/weather-stations/m3-sink/requirements.txt create mode 100644 solutions/iot/weather-stations/m3-sink/src/sink.py create mode 100644 solutions/iot/weather-stations/machinelearning/multi-step-models.ipynb create mode 100644 solutions/iot/weather-stations/machinelearning/predict-kafka-dataset.ipynb create mode 100644 solutions/iot/weather-stations/machinelearning/vantaa-2017-2020.csv.gz create mode 100644 solutions/iot/weather-stations/observability/Dockerfile.highlander create mode 100644 solutions/iot/weather-stations/observability/README.md create mode 100644 solutions/iot/weather-stations/observability/k8s/highlander.yaml create mode 100644 solutions/iot/weather-stations/observability/k8s/prometheus-servicemonitor.yaml create mode 100644 solutions/iot/weather-stations/observability/opensearch/fluentbit-configmap.yaml create mode 100644 solutions/iot/weather-stations/observability/opensearch/fluentbit-daemonset.yaml create mode 100644 solutions/iot/weather-stations/observability/opensearch/fluentbit-rbac.yaml create mode 100755 solutions/iot/weather-stations/observability/prometheus/build.sh create mode 100755 solutions/iot/weather-stations/observability/prometheus/create-m3-secret.sh create mode 100644 solutions/iot/weather-stations/observability/prometheus/example-0.7.jsonnet create mode 100644 solutions/iot/weather-stations/observability/prometheus/example-0.9.jsonnet create mode 100644 solutions/iot/weather-stations/observability/prometheus/example.jsonnet create mode 100644 solutions/iot/weather-stations/producer/Dockerfile create mode 100644 solutions/iot/weather-stations/producer/README.md create mode 100644 solutions/iot/weather-stations/producer/kafkacat.conf create mode 100644 solutions/iot/weather-stations/producer/requirements.txt create mode 100644 solutions/iot/weather-stations/producer/src/ingest.py create mode 100644 solutions/iot/weather-stations/streamprocessing/Dockerfile create mode 100644 solutions/iot/weather-stations/streamprocessing/README.md create mode 100644 solutions/iot/weather-stations/streamprocessing/build.gradle create mode 100644 solutions/iot/weather-stations/streamprocessing/gradle/wrapper/gradle-wrapper.jar create mode 100644 solutions/iot/weather-stations/streamprocessing/gradle/wrapper/gradle-wrapper.properties create mode 100755 solutions/iot/weather-stations/streamprocessing/gradlew create mode 100644 solutions/iot/weather-stations/streamprocessing/gradlew.bat create mode 100644 solutions/iot/weather-stations/streamprocessing/jmx-config/kafka-client.yaml create mode 100644 solutions/iot/weather-stations/streamprocessing/settings.gradle create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/avro/countandsum.avsc create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/avro/digitraffic.avsc create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/avro/digitrafficaggr.avsc create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/avro/digitrafficmultivariate.avsc create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/avro/weatherstation.avsc create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/CalculationsTopology.java create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/CreateMultivariate.java create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/EnrichmentTopology.java create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/KafkaStreamsConfig.java create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/ObservationTimestampExtractor.java create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/StreamsApplication.java create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/resources/application.yml create mode 100644 solutions/iot/weather-stations/streamprocessing/src/main/resources/logback-spring.xml create mode 100644 solutions/iot/weather-stations/streamprocessing/src/test/java/io/aiven/streams/CalculationsTests.java create mode 100644 solutions/iot/weather-stations/streamprocessing/src/test/java/io/aiven/streams/EnrichmentTests.java create mode 100644 solutions/iot/weather-stations/streamprocessing/src/test/resources/application.yml create mode 100644 solutions/iot/weather-stations/streamprocessing/src/test/resources/logback-test.xml create mode 100644 solutions/iot/weather-stations/streamprocessing/src/test/resources/station.avsc diff --git a/solutions/iot/weather-stations/.gitignore b/solutions/iot/weather-stations/.gitignore new file mode 100644 index 0000000..ca9a98c --- /dev/null +++ b/solutions/iot/weather-stations/.gitignore @@ -0,0 +1,70 @@ +HELP.md +.gradle +build/ +**/bin/ +!gradle/wrapper/gradle-wrapper.jar +!**/src/main/**/build/ +!**/src/test/**/build/ +**/.DS_Store + +**/.metals +**/.bloop +**/.bsp +spark/project +spark/target + +observability/prometheus/manifests +observability/prometheus/vendor +observability/prometheus/jsonnetfile.* + +**/.ipynb_checkpoints +**/.python-version + +### Secrets ### +k8s/secrets/aiven/* +**/pgpassfile +**/*.p12 +**/*.jks +**/*.pem +**/token +**/secrets.tfvars + +### STS ### +.apt_generated +.classpath +.factorypath +.project +.settings +.springBeans +.sts4-cache + +### IntelliJ IDEA ### +.idea +*.iws +*.iml +*.ipr +out/ +!**/src/main/**/out/ +!**/src/test/**/out/ + +### NetBeans ### +/nbproject/private/ +/nbbuild/ +/dist/ +/nbdist/ +/.nb-gradle/ + +### VS Code ### +.vscode/ + 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Script will create PostgreSQL tables and then load data from downloaded JSON files. Uses jq for transformations. diff --git a/solutions/iot/weather-stations/database/create.sql b/solutions/iot/weather-stations/database/create.sql new file mode 100644 index 0000000..b3015df --- /dev/null +++ b/solutions/iot/weather-stations/database/create.sql @@ -0,0 +1,3 @@ +CREATE TABLE IF NOT EXISTS weather_stations (roadstationid smallint primary key, name varchar(128), municipality varchar(64), province varchar(64), latitude float, longitude float); +CREATE TABLE IF NOT EXISTS weather_sensors (sensorid smallint primary key, name varchar(128), unit varchar(8), accuracy smallint); + diff --git a/solutions/iot/weather-stations/database/import-stations.sh b/solutions/iot/weather-stations/database/import-stations.sh new file mode 100755 index 0000000..529fe18 --- /dev/null +++ b/solutions/iot/weather-stations/database/import-stations.sh @@ -0,0 +1,7 @@ +psql "$(< pgpassfile)" -f create.sql + +curl -X GET "https://tie.digitraffic.fi/api/v3/metadata/weather-stations?lastUpdated=false" -H "accept: application/geo+json" -H "Accept-Encoding: gzip, deflate"|jq -r '.features|map([(.properties.roadStationId|tostring), .properties.name, .properties.municipality, .properties.province,(.geometry.coordinates[1]|tostring), (.geometry.coordinates[0]|tostring)]|join(","))|join("\n")' > weather_stations.csv +psql "$(< pgpassfile)" -c "\copy weather_stations (roadstationid, name, municipality, province, latitude, longitude) from 'weather_stations.csv' CSV DELIMITER ',';" + +curl -X GET "https://tie.digitraffic.fi/api/v3/metadata/weather-sensors?lastUpdated=false" -H "accept: application/json" -H "Accept-Encoding: gzip, deflate"|gzip -dc|jq -r '.roadStationSensors|map([(.id|tostring), .name, .unit, (.accuracy|tostring)]|join(","))|join("\n")' > sensors.csv +psql "$(< pgpassfile)" -c "\copy weather_sensors (sensorid, name, unit, accuracy) from 'sensors.csv' CSV DELIMITER ',';" diff --git a/solutions/iot/weather-stations/get-demo-secrets.sh b/solutions/iot/weather-stations/get-demo-secrets.sh new file mode 100755 index 0000000..68a17cf --- /dev/null +++ b/solutions/iot/weather-stations/get-demo-secrets.sh @@ -0,0 +1,48 @@ +#!/bin/sh +# Download Kafka service user certificates +[ ! -d "k8s/secrets/aiven/ingest" ] && avn service user-kafka-java-creds --project $1 --username tms-ingest-user -p supersecret -d k8s/secrets/aiven/ingest tms-demo-kafka +[ ! -d "k8s/secrets/aiven/processing" ] && avn service user-kafka-java-creds --project $1 --username tms-processing-user -p supersecret -d k8s/secrets/aiven/processing tms-demo-kafka +[ ! -d "k8s/secrets/aiven/sink" ] && avn service user-kafka-java-creds --project $1 --username tms-sink-user -p supersecret -d k8s/secrets/aiven/sink tms-demo-kafka +[ ! -d "k8s/secrets/aiven/admin" ] && avn service user-kafka-java-creds --project $1 --username avnadmin -p supersecret -d k8s/secrets/aiven/admin tms-demo-kafka + +# Generate pgpassfile for bootstrapping PostgreSQL tables +avn service get tms-demo-pg --json -v --project $1|jq -r '("host=" + .service_uri_params.host + " port=" + .service_uri_params.port + " dbname=" + .service_uri_params.dbname + " user=" + .service_uri_params.user + " password=" + .service_uri_params.password)' > database/pgpassfile + +# Extract endpoints and secrets from Aiven services +KAFKA_JSON=$(avn service get tms-demo-kafka --project $1 --json -v) +M3_OBS_JSON=$(avn service get tms-demo-obs-m3db --project $1 --json -v) +M3_IOT_JSON=$(avn service get tms-demo-iot-m3db --project $1 --json -v) +OS_JSON=$(avn service get tms-demo-os --project $1 --json -v) + +M3_PROM_URI=$(jq -r '.components[] | select(.component == "m3coordinator_prom_remote_write") |"https://\(.host):\(.port)\(.path)"' <<< $M3_OBS_JSON) +M3_PROM_USER=$(jq -r '.users[] | select(.type == "primary") |"\(.username)"' <<< $M3_OBS_JSON) +M3_PROM_PWD=$(jq -r '.users[] | select(.type == "primary") |"\(.password)"' <<< $M3_OBS_JSON) +M3_INFLUXDB_URI=$(jq -r '"https://" + (.service_uri_params.host + ":" + .service_uri_params.port + "/api/v1/influxdb/write")' <<< $M3_IOT_JSON) +M3_CREDENTIALS=$(jq -r '.users[] | select(.type == "primary") |"\(.username):\(.password)"' <<< $M3_IOT_JSON) + +SCHEMA_REGISTRY_HOST=$(jq -r '.components[] | select(.component == "schema_registry") |"\(.host):\(.port)"' <<< $KAFKA_JSON) +SCHEMA_REGISTRY_URI=$(jq -r .connection_info.schema_registry_uri <<< $KAFKA_JSON) +KAFKA_SERVICE_URI=$(jq -r .service_uri <<< $KAFKA_JSON) + +OS_HOST=$(jq -r '(.service_uri_params.host)' <<< $OS_JSON) +OS_PORT=$(jq -r '(.service_uri_params.port)' <<< $OS_JSON) +OS_USER=$(jq -r '(.service_uri_params.user)' <<< $OS_JSON) +OS_PASSWORD=$(jq -r '(.service_uri_params.password)' <<< $OS_JSON) + + +echo $SCHEMA_REGISTRY_URI > k8s/secrets/aiven/schema_registry_uri +echo $M3_INFLUXDB_URI > k8s/secrets/aiven/m3_influxdb_uri +echo $M3_CREDENTIALS > k8s/secrets/aiven/m3_credentials +echo $M3_PROM_USER > k8s/secrets/aiven/m3_prom_user +echo $M3_PROM_PWD > k8s/secrets/aiven/m3_prom_pwd +echo $M3_PROM_URI > k8s/secrets/aiven/m3_prom_uri +echo $KAFKA_SERVICE_URI > k8s/secrets/aiven/kafka_service_uri +echo $OS_HOST > k8s/secrets/aiven/os_host +echo $OS_PORT > k8s/secrets/aiven/os_port +echo $OS_USER > k8s/secrets/aiven/os_user +echo $OS_PASSWORD > k8s/secrets/aiven/os_password + +# Generate truststore for Schema Registry CA +openssl s_client -connect $SCHEMA_REGISTRY_HOST -showcerts < /dev/null 2>/dev/null | awk '/BEGIN CERT/{s=1}; s{t=t "\n" $0}; /END CERT/ {last=t; t=""; s=0}; END{print last}' > k8s/secrets/aiven/sr-ca.cert +keytool -import -file k8s/secrets/aiven/sr-ca.cert -alias CA -keystore k8s/secrets/aiven/schema_registry.truststore.jks -storepass supersecret -noprompt + diff --git a/solutions/iot/weather-stations/infra/README.md b/solutions/iot/weather-stations/infra/README.md new file mode 100644 index 0000000..21fdf4f --- /dev/null +++ b/solutions/iot/weather-stations/infra/README.md @@ -0,0 +1,15 @@ +# Terraform plan for Aiven resources + +This plan will create a bunch of services within your Aiven project +- Kafka +- Kafka Connect Cluster +- PostgreSQL source connector for Kafka Connect +- PostgreSQL database +- Topics, Users and ACLs for Kafka +- M3 Time Series database + +You should copy the ```secrets.tfvars.template``` file to ```secrets.tfvars``` and fill in your Aiven project name, token and cloud region. After that you can run + +``` +terraform apply -var-file=secrets.tfvars +``` diff --git a/solutions/iot/weather-stations/infra/connector.tf b/solutions/iot/weather-stations/infra/connector.tf new file mode 100644 index 0000000..48a4408 --- /dev/null +++ b/solutions/iot/weather-stations/infra/connector.tf @@ -0,0 +1,162 @@ +data "aiven_service_component" "schema_registry" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + component = "schema_registry" + route = "dynamic" +} + +data "aiven_service_component" "tms_pg" { + project = var.avn_project_id + service_name = aiven_pg.tms-demo-pg.service_name + component = "pg" + route = "dynamic" +} + +locals { + schema_registry_uri = "https://${data.aiven_service_user.kafka_admin.username}:${data.aiven_service_user.kafka_admin.password}@${data.aiven_service_component.schema_registry.host}:${data.aiven_service_component.schema_registry.port}" +} + +resource "aiven_kafka_connector" "kafka-pg-cdc-stations" { + project = var.avn_project_id + service_name = aiven_kafka_connect.tms-demo-kafka-connect1.service_name + connector_name = "kafka-pg-cdc-stations" + + config = { + "_aiven.restart.on.failure": "true", + "key.converter" : "org.apache.kafka.connect.storage.StringConverter", + "key.converter.schemas.enable": "false", + "value.converter": "io.confluent.connect.avro.AvroConverter", + "value.converter.schema.registry.url": local.schema_registry_uri, + "value.converter.basic.auth.credentials.source": "URL", + "value.converter.schemas.enable": "true", + "connector.class": "io.debezium.connector.postgresql.PostgresConnector", + "name": "kafka-pg-cdc-stations", + "slot.name": "weatherstations", + "database.hostname": data.aiven_service_component.tms_pg.host, + "database.port": data.aiven_service_component.tms_pg.port, + "database.user": data.aiven_service_user.pg_admin.username, + "database.password": data.aiven_service_user.pg_admin.password, + "database.dbname": "defaultdb", + "database.server.name": "tms-demo-pg", + "table.whitelist": "public.weather_stations", + "plugin.name": "wal2json", + "database.sslmode": "require", + "transforms": "unwrap,insertKey,extractKey", + "transforms.unwrap.type":"io.debezium.transforms.UnwrapFromEnvelope", + "transforms.unwrap.drop.tombstones":"false", + "transforms.insertKey.type":"org.apache.kafka.connect.transforms.ValueToKey", + "transforms.insertKey.fields":"roadstationid", + "transforms.extractKey.type":"org.apache.kafka.connect.transforms.ExtractField$Key", + "transforms.extractKey.field":"roadstationid", + "include.schema.changes": "false" + } +} + +resource "aiven_kafka_connector" "kafka-pg-cdc-stations-2" { + project = var.avn_project_id + service_name = aiven_kafka_connect.tms-demo-kafka-connect1.service_name + connector_name = "kafka-pg-cdc-stations-2" + + config = { + "_aiven.restart.on.failure": "true", + "key.converter" : "io.confluent.connect.avro.AvroConverter", + "key.converter.schema.registry.url": local.schema_registry_uri, + "key.converter.basic.auth.credentials.source": "URL", + "key.converter.schemas.enable": "true", + "value.converter": "io.confluent.connect.avro.AvroConverter", + "value.converter.schema.registry.url": local.schema_registry_uri, + "value.converter.basic.auth.credentials.source": "URL", + "value.converter.schemas.enable": "true", + "connector.class": "io.debezium.connector.postgresql.PostgresConnector", + "name": "kafka-pg-cdc-stations-2", + "slot.name": "weatherstations2", + "database.hostname": data.aiven_service_component.tms_pg.host, + "database.port": data.aiven_service_component.tms_pg.port, + "database.user": data.aiven_service_user.pg_admin.username, + "database.password": data.aiven_service_user.pg_admin.password, + "database.dbname": "defaultdb", + "database.server.name": "tms-demo-pg", + "table.whitelist": "public.weather_stations_2", + "plugin.name": "wal2json", + "database.sslmode": "require", + "transforms":"route", + "transforms.route.regex": "tms-demo-pg.public.weather_stations_2", + "transforms.route.replacement": "weather_stations", + "transforms.route.type": "org.apache.kafka.connect.transforms.RegexRouter", + "include.schema.changes": "false" + } +} + +resource "aiven_kafka_connector" "bq-sink" { + count = "${var.bq_project != "" ? 1 : 0}" + project = var.avn_project_id + service_name = aiven_kafka_connect.tms-demo-kafka-connect1.service_name + connector_name = "bq-sink" + config = { + "_aiven.restart.on.failure": "true", + "name": "bq-sink", + "connector.class": "com.wepay.kafka.connect.bigquery.BigQuerySinkConnector", + "key.converter" : "io.confluent.connect.avro.AvroConverter", + "key.converter.schema.registry.url": local.schema_registry_uri, + "key.converter.basic.auth.credentials.source": "URL", + "key.converter.schemas.enable": "true", + "value.converter": "io.confluent.connect.avro.AvroConverter", + "value.converter.schema.registry.url": local.schema_registry_uri, + "value.converter.basic.auth.credentials.source": "URL", + "value.converter.schemas.enable": "true", + "topics": "weather_stations", + "project": var.bq_project, + "keySource": "JSON", + "keyfile": var.bq_key, + "defaultDataset": "weather_stations", + "kafkaKeyFieldName": "kafkakey", + "kafkaDataFieldName": "kafkavalue", + "allowNewBigQueryFields": "true", + "allowBigQueryRequiredFieldRelaxation": "true", + "allowSchemaUnionization": "true", + "deleteEnabled": "true", + "mergeIntervalMs": "5000", + "transforms": "unwrap,ReplaceField", + "transforms.unwrap.type": "io.debezium.transforms.UnwrapFromEnvelope", + "transforms.unwrap.drop.tombstones": "false", + "transforms.unwrap.delete.handling.mode": "none", + "transforms.ReplaceField.type": "org.apache.kafka.connect.transforms.ReplaceField$Value", + "transforms.ReplaceField.blacklist": "roadstationid" + } +} + +resource "aiven_kafka_connector" "kafka-pg-cdc-sensors" { + project = var.avn_project_id + service_name = aiven_kafka_connect.tms-demo-kafka-connect1.service_name + connector_name = "kafka-pg-cdc-sensors" + + config = { + "_aiven.restart.on.failure": "true", + "key.converter" : "org.apache.kafka.connect.storage.StringConverter", + "key.converter.schemas.enable": "false", + "value.converter": "io.confluent.connect.avro.AvroConverter", + "value.converter.schema.registry.url": local.schema_registry_uri, + "value.converter.basic.auth.credentials.source": "URL", + "value.converter.schemas.enable": "true", + "connector.class": "io.debezium.connector.postgresql.PostgresConnector", + "name": "kafka-pg-cdc-sensors", + "slot.name": "weathersensors", + "database.hostname": data.aiven_service_component.tms_pg.host, + "database.port": data.aiven_service_component.tms_pg.port, + "database.user": data.aiven_service_user.pg_admin.username, + "database.password": data.aiven_service_user.pg_admin.password, + "database.dbname": "defaultdb", + "database.server.name": "tms-demo-pg", + "table.whitelist": "public.weather_sensors", + "plugin.name": "wal2json", + "database.sslmode": "require", + "transforms": "unwrap,insertKey,extractKey", + "transforms.unwrap.type":"io.debezium.transforms.UnwrapFromEnvelope", + "transforms.unwrap.drop.tombstones":"false", + "transforms.insertKey.type":"org.apache.kafka.connect.transforms.ValueToKey", + "transforms.insertKey.fields":"sensorid", + "transforms.extractKey.type":"org.apache.kafka.connect.transforms.ExtractField$Key", + "transforms.extractKey.field":"sensorid", + "include.schema.changes": "false" + } +} \ No newline at end of file diff --git a/solutions/iot/weather-stations/infra/kafka_service_users.tf b/solutions/iot/weather-stations/infra/kafka_service_users.tf new file mode 100644 index 0000000..7d44249 --- /dev/null +++ b/solutions/iot/weather-stations/infra/kafka_service_users.tf @@ -0,0 +1,127 @@ +data "aiven_service_user" "kafka_admin" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + + # default admin user that is automatically created each Aiven service + username = "avnadmin" + + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +resource "aiven_service_user" "tms-ingest-user" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + + username = "tms-ingest-user" + + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +resource "aiven_service_user" "tms-processing-user" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + + username = "tms-processing-user" + + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +resource "aiven_service_user" "tms-sink-user" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + + username = "tms-sink-user" + + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +resource "aiven_kafka_acl" "tms-ingest-acl" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + permission = "write" + username = aiven_service_user.tms-ingest-user.username + topic = aiven_kafka_topic.observations-weather-raw.topic_name + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +# read-write access for Kafka Streams topologies +resource "aiven_kafka_acl" "tms-processing-acl" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + permission = "readwrite" + username = aiven_service_user.tms-processing-user.username + topic = "observations.*" + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +# read access to PostgeSQL CDC topics +resource "aiven_kafka_acl" "tms-processing-read-acl" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + permission = "read" + username = aiven_service_user.tms-processing-user.username + topic = "tms-demo-pg.public.*" + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +# adming access for intermediate Kafka Streams topics (changelog) +resource "aiven_kafka_acl" "tms-processing-admin-acl" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + permission = "admin" + username = aiven_service_user.tms-processing-user.username + topic = "tms-streams-demo-*" + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +# adming access for intermediate Kafka Streams topics (changelog) +resource "aiven_kafka_acl" "tms-processing-admin-acl-2" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + permission = "admin" + username = aiven_service_user.tms-processing-user.username + topic = "tms-microservice-demo-*" + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +# adming access for KSQLDB topics +resource "aiven_kafka_acl" "tms-processing-ksql-acl" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + permission = "admin" + username = aiven_service_user.tms-processing-user.username + topic = "_confluent-ksql-tms_demo_ksqldb_*" + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +#read access for M3 sink service +resource "aiven_kafka_acl" "tms-sink-acl" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + permission = "read" + username = aiven_service_user.tms-sink-user.username + topic = "observations.weather.*" + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} diff --git a/solutions/iot/weather-stations/infra/kafka_services.tf b/solutions/iot/weather-stations/infra/kafka_services.tf new file mode 100644 index 0000000..b9bb4f2 --- /dev/null +++ b/solutions/iot/weather-stations/infra/kafka_services.tf @@ -0,0 +1,71 @@ +# Kafka service +resource "aiven_kafka" "tms-demo-kafka" { + project = var.avn_project_id + cloud_name = var.cloud_name + plan = "startup-2" + service_name = "tms-demo-kafka" + maintenance_window_dow = "monday" + maintenance_window_time = "10:00:00" + default_acl = false + + kafka_user_config { + // Enables Kafka Schemas + schema_registry = true + kafka_version = "2.8" + kafka { + group_max_session_timeout_ms = 70000 + log_retention_bytes = 1000000000 + } + } +} + +// Kafka connect service +resource "aiven_kafka_connect" "tms-demo-kafka-connect1" { + project = var.avn_project_id + cloud_name = var.cloud_name + plan = "startup-4" + service_name = "tms-demo-kafka-connect1" + maintenance_window_dow = "monday" + maintenance_window_time = "10:00:00" + + kafka_connect_user_config { + kafka_connect { + consumer_isolation_level = "read_committed" + } + + public_access { + kafka_connect = true + } + } +} + + +// Kafka connect service integration +resource "aiven_service_integration" "tms-demo-connect-integr" { + project = var.avn_project_id + integration_type = "kafka_connect" + source_service_name = aiven_kafka.tms-demo-kafka.service_name + destination_service_name = aiven_kafka_connect.tms-demo-kafka-connect1.service_name + + kafka_connect_user_config { + kafka_connect { + group_id = "connect_1" + status_storage_topic = "__connect_1_status" + offset_storage_topic = "__connect_1_offsets" + config_storage_topic = "__connect_1_configs" + } + } + + depends_on = [ + aiven_kafka.tms-demo-kafka, + aiven_kafka_connect.tms-demo-kafka-connect1 + ] +} + +resource "aiven_service_integration" "tms-demo-obs-kafka-integr" { + project = var.avn_project_id + integration_type = "metrics" + source_service_name = aiven_kafka.tms-demo-kafka.service_name + destination_service_name = aiven_m3db.tms-demo-obs-m3db.service_name +} + diff --git a/solutions/iot/weather-stations/infra/kafka_topic.tf b/solutions/iot/weather-stations/infra/kafka_topic.tf new file mode 100644 index 0000000..6151e35 --- /dev/null +++ b/solutions/iot/weather-stations/infra/kafka_topic.tf @@ -0,0 +1,128 @@ +# Kafka topics + +resource "aiven_kafka_topic" "observations-weather-raw" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + topic_name = "observations.weather.raw" + partitions = 20 + replication = 2 + config { + retention_ms = 259200000 + cleanup_policy = "delete" + min_insync_replicas = 1 + } + depends_on = [ + aiven_kafka.tms-demo-kafka + ] + +} + +resource "aiven_kafka_topic" "observations-weather-processed" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + topic_name = "observations.weather.processed" + partitions = 20 + replication = 2 + config { + retention_ms = 259200000 + cleanup_policy = "delete" + min_insync_replicas = 1 + } + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +resource "aiven_kafka_topic" "observations-weather-multivariate" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + topic_name = "observations.weather.multivariate" + partitions = 20 + replication = 2 + config { + retention_ms = 259200000 + cleanup_policy = "delete" + min_insync_replicas = 1 + } + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +resource "aiven_kafka_topic" "observations-weather-municipality" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + topic_name = "observations.weather.municipality" + partitions = 20 + replication = 2 + config { + retention_ms = 1814400000 + cleanup_policy = "delete" + min_insync_replicas = 1 + } + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +resource "aiven_kafka_topic" "observations-weather-avg-air-temperature" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + topic_name = "observations.weather.avg-air-temperature" + partitions = 20 + replication = 2 + config { + retention_ms = 1814400000 + cleanup_policy = "delete" + min_insync_replicas = 1 + } + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +resource "aiven_kafka_topic" "stations-weather" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + topic_name = "tms-demo-pg.public.weather_stations" + partitions = 20 + replication = 2 + config { + cleanup_policy = "compact" + min_insync_replicas = 1 + } + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +resource "aiven_kafka_topic" "stations-weather-2" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + topic_name = "weather_stations" + partitions = 20 + replication = 2 + config { + cleanup_policy = "compact" + min_insync_replicas = 1 + } + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + +resource "aiven_kafka_topic" "sensors-weather" { + project = var.avn_project_id + service_name = aiven_kafka.tms-demo-kafka.service_name + topic_name = "tms-demo-pg.public.weather_sensors" + partitions = 20 + replication = 2 + config { + cleanup_policy = "compact" + min_insync_replicas = 1 + } + depends_on = [ + aiven_kafka.tms-demo-kafka + ] +} + diff --git a/solutions/iot/weather-stations/infra/m3.tf b/solutions/iot/weather-stations/infra/m3.tf new file mode 100644 index 0000000..0f5240f --- /dev/null +++ b/solutions/iot/weather-stations/infra/m3.tf @@ -0,0 +1,75 @@ +resource "aiven_m3db" "tms-demo-iot-m3db" { + project = var.avn_project_id + cloud_name = var.cloud_name + plan = "startup-8" + service_name = "tms-demo-iot-m3db" + + m3db_user_config { + + namespaces { + name = "observations" + type = "unaggregated" + options { + retention_options { + retention_period_duration = "1h" + } + } + } + } +} + +resource "aiven_m3db" "tms-demo-obs-m3db" { + project = var.avn_project_id + cloud_name = var.cloud_name + plan = "business-8" + service_name = "tms-demo-obs-m3db" + + m3db_user_config { + + namespaces { + name = "metrics" + type = "unaggregated" + options { + retention_options { + retention_period_duration = "30d" + } + } + } + + namespaces { + name = "metrics_1h" + type = "aggregated" + resolution = "1h" + options { + retention_options { + retention_period_duration = "356d" + } + } + } + } +} + +resource "aiven_m3aggregator" "tms-demo-m3a" { + project = var.avn_project_id + cloud_name = var.cloud_name + plan = "business-8" + service_name = "tms-demo-m3a" + maintenance_window_dow = "monday" + maintenance_window_time = "10:00:00" + +} + +resource "aiven_service_integration" "tms-demo-obs-m3-integr" { + project = var.avn_project_id + integration_type = "m3aggregator" + source_service_name = aiven_m3db.tms-demo-obs-m3db.service_name + destination_service_name = aiven_m3aggregator.tms-demo-m3a.service_name +} + +output "m3db_iot_host" { + value = aiven_m3db.tms-demo-iot-m3db.service_host +} + +output "m3db_obs_host" { + value = aiven_m3db.tms-demo-obs-m3db.service_host +} \ No newline at end of file diff --git a/solutions/iot/weather-stations/infra/main.tf b/solutions/iot/weather-stations/infra/main.tf new file mode 100644 index 0000000..5a6d8b2 --- /dev/null +++ b/solutions/iot/weather-stations/infra/main.tf @@ -0,0 +1,13 @@ + +terraform { + required_providers { + aiven = { + source = "aiven/aiven" + version = "2.3.2" + } + } +} + +provider "aiven" { + api_token = var.avn_api_token +} diff --git a/solutions/iot/weather-stations/infra/opensearch.tf b/solutions/iot/weather-stations/infra/opensearch.tf new file mode 100644 index 0000000..fc6ea6a --- /dev/null +++ b/solutions/iot/weather-stations/infra/opensearch.tf @@ -0,0 +1,16 @@ +# Opensearch service +resource "aiven_opensearch" "tms-demo-os" { + project = var.avn_project_id + cloud_name = var.cloud_name + plan = "startup-4" + service_name = "tms-demo-os" + maintenance_window_dow = "monday" + maintenance_window_time = "10:00:00" +} + +# Opensearch user +resource "aiven_service_user" "os-user" { + project = var.avn_project_id + service_name = aiven_opensearch.tms-demo-os.service_name + username = "test-user1" +} diff --git a/solutions/iot/weather-stations/infra/pg.tf b/solutions/iot/weather-stations/infra/pg.tf new file mode 100644 index 0000000..5952326 --- /dev/null +++ b/solutions/iot/weather-stations/infra/pg.tf @@ -0,0 +1,18 @@ +resource "aiven_pg" "tms-demo-pg" { + project = var.avn_project_id + cloud_name = var.cloud_name + plan = "startup-4" + service_name = "tms-demo-pg" +} + +data "aiven_service_user" "pg_admin" { + project = var.avn_project_id + service_name = aiven_pg.tms-demo-pg.service_name + + # default admin user that is automatically created each Aiven service + username = "avnadmin" + + depends_on = [ + aiven_pg.tms-demo-pg + ] +} \ No newline at end of file diff --git a/solutions/iot/weather-stations/infra/secrets.tfvars.template b/solutions/iot/weather-stations/infra/secrets.tfvars.template new file mode 100644 index 0000000..caa6d3c --- /dev/null +++ b/solutions/iot/weather-stations/infra/secrets.tfvars.template @@ -0,0 +1,5 @@ +avn_project_id = "" +avn_api_token = "" +cloud_name = "google-europe-north1" +bq_project = "" +bq_key = "" diff --git a/solutions/iot/weather-stations/infra/variables.tf b/solutions/iot/weather-stations/infra/variables.tf new file mode 100644 index 0000000..a7321df --- /dev/null +++ b/solutions/iot/weather-stations/infra/variables.tf @@ -0,0 +1,7 @@ +variable "avn_project_id" {} +variable "avn_api_token" {} +variable "cloud_name" {} + +variable "bq_project" {} + +variable "bq_key" {} \ No newline at end of file diff --git a/solutions/iot/weather-stations/k8s/create-k8s-secrets.sh b/solutions/iot/weather-stations/k8s/create-k8s-secrets.sh new file mode 100755 index 0000000..940c8b3 --- /dev/null +++ b/solutions/iot/weather-stations/k8s/create-k8s-secrets.sh @@ -0,0 +1,36 @@ +#!/bin/sh +kubectl create secret generic tms-ingest-cert \ +--from-file=secrets/aiven/ingest/service.cert \ +--from-file=secrets/aiven/ingest/service.key \ +--from-file=secrets/aiven/ingest/ca.pem \ +--from-file=secrets/aiven/ingest/client.keystore.p12 \ +--from-file=secrets/aiven/ingest/client.truststore.jks \ +-n tms-demo +kubectl create secret generic tms-processing-cert \ +--from-file=secrets/aiven/processing/service.cert \ +--from-file=secrets/aiven/processing/service.key \ +--from-file=secrets/aiven/processing/ca.pem \ +--from-file=secrets/aiven/processing/client.keystore.p12 \ +--from-file=secrets/aiven/processing/client.truststore.jks \ +--from-file=secrets/aiven/schema_registry.truststore.jks \ +-n tms-demo +kubectl create secret generic tms-sink-cert \ +--from-file=secrets/aiven/sink/service.cert \ +--from-file=secrets/aiven/sink/service.key \ +--from-file=secrets/aiven/sink/ca.pem \ +--from-file=secrets/aiven/sink/client.keystore.p12 \ +--from-file=secrets/aiven/sink/client.truststore.jks \ +-n tms-demo +kubectl create secret generic tms-service-endpoint \ +--from-file=BOOTSTRAP_SERVERS=secrets/aiven/kafka_service_uri \ +--from-file=SCHEMA_REGISTRY=secrets/aiven/schema_registry_uri \ +--from-file=M3_INFLUXDB_URL=secrets/aiven/m3_influxdb_uri \ +--from-file=M3_INFLUXDB_CREDENTIALS=secrets/aiven/m3_credentials \ +-n tms-demo +kubectl create secret generic tms-os-service \ +--from-file=OPENSEARCH_HOST=secrets/aiven/os_host \ +--from-file=OPENSEARCH_PORT=secrets/aiven/os_port \ +--from-file=OPENSEARCH_USER=secrets/aiven/os_user \ +--from-file=OPENSEARCH_PASSWORD=secrets/aiven/os_password \ +-n tms-demo +kubectl create -f secrets.yaml diff --git a/solutions/iot/weather-stations/k8s/deploy-ingest.yaml b/solutions/iot/weather-stations/k8s/deploy-ingest.yaml new file mode 100644 index 0000000..3cfdbb3 --- /dev/null +++ b/solutions/iot/weather-stations/k8s/deploy-ingest.yaml @@ -0,0 +1,68 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: tms-demo-ingest + namespace: tms-demo + labels: + app: tms-demo-ingest +spec: + replicas: 1 + selector: + matchLabels: + app: tms-demo-ingest + template: + metadata: + labels: + app: tms-demo-ingest + spec: + containers: + - name: tms-demo-ingest + image: ssaily/tms-demo-ingest:0.1.2 + env: + - name: MQTT_USER + value: digitraffic + - name: MQTT_PASSWORD + value: digitrafficPassword + - name: PYTHONUNBUFFERED + value: "1" + envFrom: + - secretRef: + name: tms-service-endpoint + volumeMounts: + - mountPath: /etc/streams/tms-ingest-cert + name: tms-ingest-cert + resources: + limits: + memory: 512Mi + cpu: "1" + requests: + memory: 256Mi + cpu: "100m" + imagePullPolicy: Always + volumes: + - name: tms-ingest-cert + secret: + secretName: tms-ingest-cert + items: + - key: service.cert + path: service.cert + - key: service.key + path: service.key + - key: ca.pem + path: ca.pem +--- +apiVersion: v1 +kind: Service +metadata: + name: tms-demo-ingest-svc + namespace: tms-demo + labels: + app: tms-demo-ingest +spec: + ports: + - name: metrics + port: 9091 + targetPort: 9091 + protocol: TCP + selector: + app: tms-demo-ingest diff --git a/solutions/iot/weather-stations/k8s/deploy-processing.yaml b/solutions/iot/weather-stations/k8s/deploy-processing.yaml new file mode 100644 index 0000000..b46ef49 --- /dev/null +++ b/solutions/iot/weather-stations/k8s/deploy-processing.yaml @@ -0,0 +1,201 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: tms-demo-enrichment + namespace: tms-demo + labels: + app: tms-demo-enrichment +spec: + replicas: 1 + selector: + matchLabels: + app: tms-demo-enrichment + template: + metadata: + labels: + app: tms-demo-enrichment + spec: + containers: + - name: tms-demo-enrichment + image: ssaily/tms-demo-processing:0.4.5 + env: + - name: SPRING_PROFILES_ACTIVE + value: enrichment + - name: JAVA_OPTS + value: "-javaagent:./jmx_prometheus_javaagent-0.16.1.jar=9091:kafka-client.yaml" + envFrom: + - secretRef: + name: kafka-secrets + - secretRef: + name: tms-service-endpoint + volumeMounts: + - mountPath: /etc/streams/tms-processing-cert + name: cert-volume + resources: + limits: + memory: 512Mi + cpu: "1" + requests: + memory: 256Mi + cpu: "100m" + imagePullPolicy: Always + ports: + - name: metrics + containerPort: 9091 + volumes: + - name: cert-volume + secret: + secretName: tms-processing-cert + items: + - key: client.keystore.p12 + path: client.keystore.p12 + - key: client.truststore.jks + path: client.truststore.jks +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: tms-demo-calculations + namespace: tms-demo + labels: + app: tms-demo-calculations +spec: + replicas: 1 + selector: + matchLabels: + app: tms-demo-calculations + template: + metadata: + labels: + app: tms-demo-calculations + spec: + containers: + - name: tms-demo-calculations + image: ssaily/tms-demo-processing:0.4.5 + env: + - name: SPRING_PROFILES_ACTIVE + value: calculations + - name: JAVA_OPTS + value: "-javaagent:./jmx_prometheus_javaagent-0.16.1.jar=9091:kafka-client.yaml" + envFrom: + - secretRef: + name: kafka-secrets + - secretRef: + name: tms-service-endpoint + volumeMounts: + - mountPath: /etc/streams/tms-processing-cert + name: tms-processing-cert + resources: + limits: + memory: 512Mi + cpu: "1" + requests: + memory: 256Mi + cpu: "100m" + imagePullPolicy: Always + volumes: + - name: tms-processing-cert + secret: + secretName: tms-processing-cert + items: + - key: client.keystore.p12 + path: client.keystore.p12 + - key: client.truststore.jks + path: client.truststore.jks +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: tms-demo-multivariate + namespace: tms-demo + labels: + app: tms-demo-multivariate +spec: + replicas: 1 + selector: + matchLabels: + app: tms-demo-multivariate + template: + metadata: + labels: + app: tms-demo-multivariate + spec: + containers: + - name: tms-demo-multivariate + image: ssaily/tms-demo-processing:0.4.5 + env: + - name: SPRING_PROFILES_ACTIVE + value: multivariate + - name: JAVA_OPTS + value: "-javaagent:./jmx_prometheus_javaagent-0.16.1.jar=9091:kafka-client.yaml" + envFrom: + - secretRef: + name: kafka-secrets + - secretRef: + name: tms-service-endpoint + volumeMounts: + - mountPath: /etc/streams/tms-processing-cert + name: tms-processing-cert + resources: + limits: + memory: 1024Mi + cpu: "2" + requests: + memory: 256Mi + cpu: "100m" + imagePullPolicy: Always + volumes: + - name: tms-processing-cert + secret: + secretName: tms-processing-cert + items: + - key: client.keystore.p12 + path: client.keystore.p12 + - key: client.truststore.jks + path: client.truststore.jks +--- +apiVersion: v1 +kind: Service +metadata: + name: tms-demo-enrichment-svc + namespace: tms-demo + labels: + app: tms-demo-enrichment +spec: + ports: + - name: metrics + port: 9091 + selector: + app: tms-demo-enrichment +--- +apiVersion: v1 +kind: Service +metadata: + name: tms-demo-calculations-svc + namespace: tms-demo + labels: + app: tms-demo-calculations +spec: + ports: + - name: metrics + port: 9091 + targetPort: 9091 + protocol: TCP + selector: + app: tms-demo-calculations +--- +apiVersion: v1 +kind: Service +metadata: + name: tms-demo-multivariate-svc + namespace: tms-demo + labels: + app: tms-demo-multivariate +spec: + ports: + - name: metrics + port: 9091 + targetPort: 9091 + protocol: TCP + selector: + app: tms-demo-multivariate diff --git a/solutions/iot/weather-stations/k8s/deploy-sink.yaml b/solutions/iot/weather-stations/k8s/deploy-sink.yaml new file mode 100644 index 0000000..7b60c30 --- /dev/null +++ b/solutions/iot/weather-stations/k8s/deploy-sink.yaml @@ -0,0 +1,66 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: tms-demo-sink + namespace: tms-demo + labels: + app: tms-demo-sink +spec: + replicas: 1 + selector: + matchLabels: + app: tms-demo-sink + template: + metadata: + labels: + app: tms-demo-sink + spec: + containers: + - name: tms-demo-sink + image: ssaily/tms-demo-sink:0.1.3 + env: + - name: PYTHONUNBUFFERED + value: "1" + envFrom: + - secretRef: + name: kafka-secrets + - secretRef: + name: tms-service-endpoint + volumeMounts: + - mountPath: /etc/streams/tms-sink-cert + name: tms-sink-cert + resources: + limits: + memory: 512Mi + cpu: "1" + requests: + memory: 256Mi + cpu: "100m" + imagePullPolicy: Always + volumes: + - name: tms-sink-cert + secret: + secretName: tms-sink-cert + items: + - key: service.cert + path: service.cert + - key: service.key + path: service.key + - key: ca.pem + path: ca.pem +--- +apiVersion: v1 +kind: Service +metadata: + name: tms-demo-sink-svc + namespace: tms-demo + labels: + app: tms-demo-sink +spec: + ports: + - name: metrics + port: 9091 + targetPort: 9091 + protocol: TCP + selector: + app: tms-demo-sink diff --git a/solutions/iot/weather-stations/k8s/ksqldb.yaml b/solutions/iot/weather-stations/k8s/ksqldb.yaml new file mode 100644 index 0000000..81e9501 --- /dev/null +++ b/solutions/iot/weather-stations/k8s/ksqldb.yaml @@ -0,0 +1,99 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: tms-demo-ksqldb + namespace: tms-demo + labels: + app: tms-demo-ksqldb +spec: + replicas: 3 + selector: + matchLabels: + app: tms-demo-ksqldb + template: + metadata: + labels: + app: tms-demo-ksqldb + spec: + containers: + - name: tms-demo-ksqldb + image: confluentinc/ksqldb-server:0.20.0 + envFrom: + - secretRef: + name: kafka-secrets + - secretRef: + name: tms-service-endpoint + env: + - name: KSQL_BOOTSTRAP_SERVERS + value: $(BOOTSTRAP_SERVERS) + - name: KSQL_LISTENERS + value: http://0.0.0.0:8088/ + - name: KSQL_KSQL_SERVICE_ID + value: tms_demo_ksqldb_ + - name: KSQL_KSQL_SINK_REPLICAS + value: "3" + - name: KSQL_KSQL_STREAMS_REPLICATION_FACTOR + value: "3" + - name: KSQL_KSQL_INTERNAL_TOPIC_REPLICAS + value: "3" + - name: KSQL_SECURITY_PROTOCOL + value: SSL + - name: KSQL_SSL_KEYSTORE_TYPE + value: PKCS12 + - name: KSQL_SSL_KEYSTORE_LOCATION + value: /etc/streams/tms-processing-cert/client.keystore.p12 + - name: KSQL_SSL_KEYSTORE_PASSWORD + value: $(keystore-password) + - name: KSQL_SSL_KEY_PASSWORD + value: $(key-password) + - name: KSQL_SSL_TRUSTSTORE_TYPE + value: JKS + - name: KSQL_SSL_TRUSTSTORE_LOCATION + value: /etc/streams/tms-processing-cert/client.truststore.jks + - name: KSQL_SSL_TRUSTSTORE_PASSWORD + value: $(truststore-password) + - name: KSQL_KSQL_SCHEMA_REGISTRY_BASIC_AUTH_CREDENTIALS_SOURCE + value: URL + - name: KSQL_KSQL_SCHEMA_REGISTRY_URL + value: $(SCHEMA_REGISTRY) + - name: KSQL_CONFLUENT_SUPPORT_METRICS_ENABLE + value: "false" + - name: KSQL_KSQL_SCHEMA_REGISTRY_SSL_TRUSTSTORE_LOCATION + value: /etc/streams/tms-processing-cert/schema_registry.truststore.jks + - name: KSQL_KSQL_SCHEMA_REGISTRY_SSL_TRUSTSTORE_PASSWORD + value: $(truststore-password) + volumeMounts: + - mountPath: /etc/streams/tms-processing-cert + name: tms-processing-cert + resources: + limits: + memory: 512Mi + cpu: "1" + requests: + memory: 256Mi + cpu: "100m" + imagePullPolicy: Always + volumes: + - name: tms-processing-cert + secret: + secretName: tms-processing-cert + items: + - key: client.keystore.p12 + path: client.keystore.p12 + - key: client.truststore.jks + path: client.truststore.jks + - key: schema_registry.truststore.jks + path: schema_registry.truststore.jks +--- +apiVersion: v1 +kind: Service +metadata: + name: ksqldb-server + namespace: tms-demo +spec: + selector: + app: tms-demo-ksqldb + ports: + - protocol: TCP + port: 8088 + targetPort: 8088 diff --git a/solutions/iot/weather-stations/k8s/kustomization.yaml b/solutions/iot/weather-stations/k8s/kustomization.yaml new file mode 100644 index 0000000..c40590a --- /dev/null +++ b/solutions/iot/weather-stations/k8s/kustomization.yaml @@ -0,0 +1,27 @@ +resources: +- deploy-ingest.yaml +- deploy-processing.yaml +- deploy-sink.yaml +secretGenerator: +- name: tms-ingest-cert + namespace: tms-demo + files: + - secrets/aiven/ingest/service.cert + - secrets/aiven/ingest/service.key + - secrets/aiven/ingest/ca.pem + - secrets/aiven/ingest/client.keystore.p12 + - secrets/aiven/ingest/client.truststore.jks +- name: tms-processing-cert + files: + - secrets/aiven/processing/service.cert + - secrets/aiven/processing/service.key + - secrets/aiven/processing/ca.pem + - secrets/aiven/processing/client.keystore.p12 + - secrets/aiven/processing/client.truststore.jks +- name: tms-sink-cert + files: + - secrets/aiven/sink/service.cert + - secrets/aiven/sink/service.key + - secrets/aiven/sink/ca.pem + - secrets/aiven/sink/client.keystore.p12 + - secrets/aiven/sink/client.truststore.jks diff --git a/solutions/iot/weather-stations/k8s/namespace.yaml b/solutions/iot/weather-stations/k8s/namespace.yaml new file mode 100644 index 0000000..f2b2026 --- /dev/null +++ b/solutions/iot/weather-stations/k8s/namespace.yaml @@ -0,0 +1,4 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: tms-demo diff --git a/solutions/iot/weather-stations/k8s/secrets.yaml b/solutions/iot/weather-stations/k8s/secrets.yaml new file mode 100644 index 0000000..07a5c4a --- /dev/null +++ b/solutions/iot/weather-stations/k8s/secrets.yaml @@ -0,0 +1,9 @@ +apiVersion: v1 +kind: Secret +metadata: + name: kafka-secrets + namespace: tms-demo +data: + keystore-password: c3VwZXJzZWNyZXQ= + truststore-password: c3VwZXJzZWNyZXQ= + key-password: c3VwZXJzZWNyZXQ= diff --git a/solutions/iot/weather-stations/m3-sink/Dockerfile b/solutions/iot/weather-stations/m3-sink/Dockerfile new file mode 100644 index 0000000..aad43f4 --- /dev/null +++ b/solutions/iot/weather-stations/m3-sink/Dockerfile @@ -0,0 +1,17 @@ +# set base image (host OS) +FROM python:3.8 + +# set the working directory in the container +WORKDIR /code + +# copy the dependencies file to the working directory +COPY requirements.txt . + +# install dependencies +RUN pip install -r requirements.txt + +# copy the content of the local src directory to the working directory +COPY src/ . + +# command to run on container start +CMD [ "python", "./sink.py" ] \ No newline at end of file diff --git a/solutions/iot/weather-stations/m3-sink/README.md b/solutions/iot/weather-stations/m3-sink/README.md new file mode 100644 index 0000000..f7f5241 --- /dev/null +++ b/solutions/iot/weather-stations/m3-sink/README.md @@ -0,0 +1,3 @@ +# M3DB Sink + +This is a small Python Kafka Consumer which will consume messages from Kafka and build InfluxDB Line Format payloads. Payload batch is then sent to M3DB InfluxDB compatible HTTP endpoint. \ No newline at end of file diff --git a/solutions/iot/weather-stations/m3-sink/requirements.txt b/solutions/iot/weather-stations/m3-sink/requirements.txt new file mode 100644 index 0000000..566a438 --- /dev/null +++ b/solutions/iot/weather-stations/m3-sink/requirements.txt @@ -0,0 +1,4 @@ +confluent_kafka[avro]==1.4.0 +requests +prometheus-kafka-metrics +prometheus-client diff --git a/solutions/iot/weather-stations/m3-sink/src/sink.py b/solutions/iot/weather-stations/m3-sink/src/sink.py new file mode 100644 index 0000000..3bb84c2 --- /dev/null +++ b/solutions/iot/weather-stations/m3-sink/src/sink.py @@ -0,0 +1,114 @@ +from confluent_kafka import avro +from confluent_kafka import Consumer +from confluent_kafka.avro import AvroConsumer, CachedSchemaRegistryClient +from confluent_kafka.avro.serializer.message_serializer import MessageSerializer as AvroSerde +from prometheus_kafka_consumer.metrics_manager import ConsumerMetricsManager +from prometheus_client import start_http_server + +import requests +import unicodedata +import os + +metric_manager = ConsumerMetricsManager() +influxdb_client = os.getenv("M3_INFLUXDB_URL").rstrip() +influxdb_cred = os.getenv("M3_INFLUXDB_CREDENTIALS").rstrip() +group_name = "tms-demo-m3-sink" + +consumer_config = {"bootstrap.servers": os.getenv("BOOTSTRAP_SERVERS"), + "statistics.interval.ms": 10000, + "group.id": group_name, + "client.id": group_name, + "stats_cb": metric_manager.send, + "max.poll.interval.ms": 30000, + "session.timeout.ms": 20000, + "default.topic.config": {"auto.offset.reset": "latest"}, + "security.protocol": "SSL", + "ssl.ca.location": "/etc/streams/tms-sink-cert/ca.pem", + "ssl.certificate.location": "/etc/streams/tms-sink-cert/service.cert", + "ssl.key.location": "/etc/streams/tms-sink-cert/service.key" + } + +schema_registry_config = {"url": os.getenv("SCHEMA_REGISTRY")} +schema_registry = CachedSchemaRegistryClient(schema_registry_config) +avro_serde = AvroSerde(schema_registry) +deserialize_avro = avro_serde.decode_message + +def get_name_or_default(name): + if not name: + return str("-") + else: + name = unicodedata.normalize('NFD', name) + name = name.encode('ascii', 'ignore').decode('ascii') + name = name.replace(" ", "_") + return name + +def to_buffer(buffer: list, message): + try: + deserialized_message = deserialize_avro(message=message.value(), is_key=False) + except Exception as e: + print(f"Failed deserialize avro payload: {message.value()}\n{e}") + else: + values = [] + sensor_name_str = '' + values_str = '' + measurement_name = '' + if message.topic() == 'observations.weather.multivariate': + sensor_name_str = 'all' + measurement_name = 'observations_mv' + for key, value in deserialized_message['measurements'].items(): + values.append(key + '=' + str(value)) + values_str = ','.join(values) + else: + measurement_name = 'observations' + sensor_name_str = get_name_or_default(deserialized_message["name"]) + values_str = f'sensorValue={deserialized_message["sensorValue"]}' + + buffer.append("{measurement},service=m3-sink,roadStationId={road_station_id},municipality={municipality},province={province},geohash={geohash},name={sensor_name} {sensor_values} {timestamp}" + .format(measurement=measurement_name, + road_station_id=deserialized_message["roadStationId"], + municipality=get_name_or_default(deserialized_message["municipality"]), + province=get_name_or_default(deserialized_message["province"]), + geohash=deserialized_message["geohash"], + sensor_name=sensor_name_str, + sensor_values=values_str, + timestamp=deserialized_message["measuredTime"] * 1000 * 1000)) + +def flush_buffer(buffer: list): + print(f"Flushing {len(buffer)} records to M3") + payload = str("\n".join(buffer)) + response = requests.post(influxdb_client, data=payload, + auth=(influxdb_cred.split(":")[0],influxdb_cred.split(":")[1]), + headers={'Content-Type': 'application/x-www-form-urlencoded'}) + if response.status_code == 400: + print(f"{response.text} Skipping too old records") + buffer.clear() + return True + if response.status_code != 204: + print(f"Failed to store to M3 {response.status_code}\n{response.text}") + return False + + buffer.clear() + return True + +def consume_record(lines: list): + consumer = Consumer(consumer_config) + consumer.subscribe(["observations.weather.multivariate", "observations.weather.municipality"]) + + while True: + try: + message = consumer.poll(1) + except Exception as e: + print(f"Exception while trying to poll messages - {e}") + exit(-1) + else: + if message: + to_buffer(lines, message) + + if (len(lines) > 1000 and flush_buffer(lines) == True): + consumer.commit() + +if __name__ == "__main__": + start_http_server(9091) + lines = [] + consume_record(lines) + diff --git a/solutions/iot/weather-stations/machinelearning/multi-step-models.ipynb b/solutions/iot/weather-stations/machinelearning/multi-step-models.ipynb new file mode 100644 index 0000000..d78ca7b --- /dev/null +++ b/solutions/iot/weather-stations/machinelearning/multi-step-models.ipynb @@ -0,0 +1,748 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "continent-republican", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import datetime\n", + "from pathlib import Path\n", + "\n", + "import IPython\n", + "import IPython.display\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import tensorflow as tf\n", + "\n", + "import matplotlib as mpl\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import numpy as np\n", + "\n", + "from tqdm import tqdm" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "historical-citizen", + "metadata": {}, + "outputs": [], + "source": [ + "def wind_vector(self, velocity, max_velocity, direction):\n", + " # Convert to radians.\n", + " wd_rad = direction*np.pi / 180\n", + " self['Wx'] = velocity*np.cos(wd_rad)\n", + " self['Wy'] = velocity*np.sin(wd_rad)\n", + " self['max Wx'] = max_velocity*np.cos(wd_rad)\n", + " self['max Wy'] = max_velocity*np.sin(wd_rad)\n", + "pd.DataFrame.wind_vector = wind_vector" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "informed-perspective", + "metadata": {}, + "outputs": [], + "source": [ + "def tod_signal(self, date_time):\n", + " day = 24*60*60\n", + " year = (365.2425)*day\n", + " timestamp_s = date_time.map(datetime.datetime.timestamp)\n", + " self['Day sin'] = np.sin(timestamp_s * (2 * np.pi / day))\n", + " self['Day cos'] = np.cos(timestamp_s * (2 * np.pi / day))\n", + " self['Year sin'] = np.sin(timestamp_s * (2 * np.pi / year))\n", + " self['Year cos'] = np.cos(timestamp_s * (2 * np.pi / year))\n", + "pd.DataFrame.tod_signal = tod_signal" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "sacred-crime", + "metadata": {}, + "outputs": [], + "source": [ + "# Training set from history file\n", + "df = pd.read_csv('vantaa-2017-2020.csv.gz', compression='gzip')\n", + "df['time'] = pd.to_datetime(df[['Pv','Kk','Vuosi', 'Klo']]\n", + " .astype(str).apply(' '.join, 1), format='%d %m %Y %H:%M')\n", + "df.drop(columns=['Pv','Kk','Vuosi', 'Klo', 'Aikavyöhyke'], inplace=True)\n", + "df.index = df['time']\n", + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "breathing-murray", + "metadata": {}, + "outputs": [], + "source": [ + "interpo = df.resample('600s').mean().interpolate()\n", + "interpo.head(2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "subsequent-perspective", + "metadata": {}, + "outputs": [], + "source": [ + "wind_direction = interpo['Tuulen suunta (deg)']\n", + "wind_v = interpo['Tuulen nopeus (m/s)']\n", + "wind_v_max = interpo['Puuskanopeus (m/s)']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "greek-worcester", + "metadata": {}, + "outputs": [], + "source": [ + "plt.hist2d(wind_direction, wind_v, bins=(50, 50), vmax=400)\n", + "plt.colorbar()\n", + "plt.xlabel('Wind Direction [deg]')\n", + "plt.ylabel('Wind Velocity [m/s]')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "applicable-delivery", + "metadata": {}, + "outputs": [], + "source": [ + "# Convert to wind vector\n", + "interpo.wind_vector(interpo.pop('Tuulen nopeus (m/s)'), interpo.pop('Puuskanopeus (m/s)'), interpo.pop('Tuulen suunta (deg)'))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "pointed-soldier", + "metadata": {}, + "outputs": [], + "source": [ + "plt.hist2d(interpo['Wx'], interpo['Wy'], bins=(50, 50), vmax=400)\n", + "plt.colorbar()\n", + "plt.xlabel('Wind X [m/s]')\n", + "plt.ylabel('Wind Y [m/s]')\n", + "ax = plt.gca()\n", + "ax.axis('tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "french-verse", + "metadata": {}, + "outputs": [], + "source": [ + "# look for seasonality although we know that year and day will be important features for weather data\n", + "fft = tf.signal.rfft(interpo['Ilman lämpötila (degC)'])\n", + "f_per_dataset = np.arange(0, len(fft))\n", + "\n", + "n_samples_h = len(interpo['Ilman lämpötila (degC)'])\n", + "samples_per_year = 6*24*365.2524 # 10m sampling rate\n", + "years_per_dataset = n_samples_h/(samples_per_year)\n", + "\n", + "f_per_year = f_per_dataset/years_per_dataset\n", + "plt.step(f_per_year, np.abs(fft))\n", + "plt.xscale('log')\n", + "plt.ylim(0, 2000000)\n", + "plt.xlim([0.1, max(plt.xlim())])\n", + "plt.xticks([1, 365.2524], labels=['1/Year', '1/day'])\n", + "_ = plt.xlabel('Frequency (log scale)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "center-gothic", + "metadata": {}, + "outputs": [], + "source": [ + "# calculate time of day signal from time index\n", + "interpo.tod_signal(interpo.index.get_level_values('time'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "pleasant-battle", + "metadata": {}, + "outputs": [], + "source": [ + "plt.plot(np.array(interpo['Day sin'])[:25*6])\n", + "plt.plot(np.array(interpo['Day cos'])[:25*6])\n", + "plt.xlabel('Time step')\n", + "plt.title('Time of day signal')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "considerable-turtle", + "metadata": {}, + "outputs": [], + "source": [ + "# Split dataset\n", + "column_indices = {name: i for i, name in enumerate(interpo.columns)}\n", + "\n", + "n = len(interpo)\n", + "train_df = interpo[0:int(n*0.7)]\n", + "val_df = interpo[int(n*0.7):int(n*0.9)]\n", + "test_df = interpo[int(n*0.9):]\n", + "\n", + "num_features = interpo.shape[1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "necessary-provision", + "metadata": {}, + "outputs": [], + "source": [ + "# Normalize\n", + "train_mean = train_df.mean()\n", + "train_std = train_df.std()\n", + "train_df = (train_df - train_mean) / train_std\n", + "val_df = (val_df - train_mean) / train_std\n", + "test_df = (test_df - train_mean) / train_std" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "controversial-advance", + "metadata": {}, + "outputs": [], + "source": [ + "# store values used for normalization so that we can use them on predicitions\n", + "out_path = Path('predict')\n", + "out_path.mkdir(parents=True, exist_ok=True)\n", + "train_mean.to_pickle('predict/train_mean.pkl')\n", + "train_std.to_pickle('predict/train_std.pkl')\n", + "pd.DataFrame(train_df.columns).to_csv('predict/trainset_columns.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "latter-playing", + "metadata": {}, + "outputs": [], + "source": [ + "df_std = (interpo - train_mean) / train_std\n", + "df_std = df_std.melt(var_name='Column', value_name='Normalized')\n", + "plt.figure(figsize=(12, 6))\n", + "ax = sns.violinplot(x='Column', y='Normalized', data=df_std)\n", + "_ = ax.set_xticklabels(interpo.keys(), rotation=90)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "quarterly-interview", + "metadata": {}, + "outputs": [], + "source": [ + "class WindowGenerator():\n", + " def __init__(self, input_width, label_width, shift,\n", + " train_df=train_df, val_df=val_df, test_df=test_df,\n", + " label_columns=None):\n", + " # Store the raw data.\n", + " self.train_df = train_df\n", + " self.val_df = val_df\n", + " self.test_df = test_df\n", + "\n", + " # Work out the label column indices.\n", + " self.label_columns = label_columns\n", + " if label_columns is not None:\n", + " self.label_columns_indices = {name: i for i, name in\n", + " enumerate(label_columns)}\n", + " self.column_indices = {name: i for i, name in\n", + " enumerate(train_df.columns)}\n", + "\n", + " # Work out the window parameters.\n", + " self.input_width = input_width\n", + " self.label_width = label_width\n", + " self.shift = shift\n", + "\n", + " self.total_window_size = input_width + shift\n", + "\n", + " self.input_slice = slice(0, input_width)\n", + " self.input_indices = np.arange(self.total_window_size)[self.input_slice]\n", + "\n", + " self.label_start = self.total_window_size - self.label_width\n", + " self.labels_slice = slice(self.label_start, None)\n", + " self.label_indices = np.arange(self.total_window_size)[self.labels_slice]\n", + "\n", + " def __repr__(self):\n", + " return '\\n'.join([\n", + " f'Total window size: {self.total_window_size}',\n", + " f'Input indices: {self.input_indices}',\n", + " f'Label indices: {self.label_indices}',\n", + " f'Label column name(s): {self.label_columns}'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "physical-mozambique", + "metadata": {}, + "outputs": [], + "source": [ + "def split_window(self, features):\n", + " inputs = features[:, self.input_slice, :]\n", + " labels = features[:, self.labels_slice, :]\n", + " if self.label_columns is not None:\n", + " labels = tf.stack(\n", + " [labels[:, :, self.column_indices[name]] for name in self.label_columns],\n", + " axis=-1)\n", + "\n", + " # Slicing doesn't preserve static shape information, so set the shapes\n", + " # manually. This way the `tf.data.Datasets` are easier to inspect.\n", + " inputs.set_shape([None, self.input_width, None])\n", + " labels.set_shape([None, self.label_width, None])\n", + "\n", + " return inputs, labels\n", + "\n", + "WindowGenerator.split_window = split_window" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "mighty-simpson", + "metadata": {}, + "outputs": [], + "source": [ + "def plot(self, model=None, plot_col='Ilman lämpötila (degC)', max_subplots=3):\n", + " inputs, labels = self.example\n", + " plt.figure(figsize=(12, 8))\n", + " plot_col_index = self.column_indices[plot_col]\n", + " max_n = min(max_subplots, len(inputs))\n", + " for n in range(max_n):\n", + " plt.subplot(3, 1, n+1)\n", + " plt.ylabel(f'{plot_col} [normed]')\n", + " plt.plot(self.input_indices, inputs[n, :, plot_col_index],\n", + " label='Inputs', marker='.', zorder=-10)\n", + "\n", + " if self.label_columns:\n", + " label_col_index = self.label_columns_indices.get(plot_col, None)\n", + " else:\n", + " label_col_index = plot_col_index\n", + "\n", + " if label_col_index is None:\n", + " continue\n", + "\n", + " plt.scatter(self.label_indices, labels[n, :, label_col_index],\n", + " edgecolors='k', label='Labels', c='#2ca02c', s=64)\n", + " if model is not None:\n", + " predictions = model(inputs)\n", + " plt.scatter(self.label_indices, predictions[n, :, label_col_index],\n", + " marker='X', edgecolors='k', label='Predictions',\n", + " c='#ff7f0e', s=64)\n", + "\n", + " if n == 0:\n", + " plt.legend()\n", + "\n", + " plt.xlabel('Time steps')\n", + "\n", + "WindowGenerator.plot = plot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "framed-integral", + "metadata": {}, + "outputs": [], + "source": [ + "def make_dataset(self, data):\n", + " data = np.array(data, dtype=np.float32)\n", + " ds = tf.keras.preprocessing.timeseries_dataset_from_array(\n", + " data=data,\n", + " targets=None,\n", + " sequence_length=self.total_window_size,\n", + " sequence_stride=1,\n", + " shuffle=True,\n", + " batch_size=32,)\n", + "\n", + " ds = ds.map(self.split_window)\n", + "\n", + " return ds\n", + "\n", + "WindowGenerator.make_dataset = make_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "known-contribution", + "metadata": {}, + "outputs": [], + "source": [ + "@property\n", + "def train(self):\n", + " return self.make_dataset(self.train_df)\n", + "\n", + "@property\n", + "def val(self):\n", + " return self.make_dataset(self.val_df)\n", + "\n", + "@property\n", + "def test(self):\n", + " return self.make_dataset(self.test_df)\n", + "\n", + "@property\n", + "def example(self):\n", + " \"\"\"Get and cache an example batch of `inputs, labels` for plotting.\"\"\"\n", + " result = getattr(self, '_example', None)\n", + " if result is None:\n", + " # No example batch was found, so get one from the `.train` dataset\n", + " result = next(iter(self.train))\n", + " # And cache it for next time\n", + " self._example = result\n", + " return result\n", + "\n", + "WindowGenerator.train = train\n", + "WindowGenerator.val = val\n", + "WindowGenerator.test = test\n", + "WindowGenerator.example = example" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "certain-georgia", + "metadata": {}, + "outputs": [], + "source": [ + "MAX_EPOCHS = 20\n", + "\n", + "def compile_and_fit(model, window, patience=2):\n", + " early_stopping = tf.keras.callbacks.EarlyStopping(monitor='val_loss',\n", + " patience=patience,\n", + " mode='min')\n", + "\n", + " model.compile(loss=tf.losses.MeanSquaredError(),\n", + " optimizer=tf.optimizers.Adam(),\n", + " metrics=[tf.metrics.MeanAbsoluteError()])\n", + "\n", + " history = model.fit(window.train, epochs=MAX_EPOCHS,\n", + " validation_data=window.val,\n", + " callbacks=[early_stopping])\n", + " return history" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "small-mechanics", + "metadata": {}, + "outputs": [], + "source": [ + "# Now that we have defined the functions let's try multi step models to predict next 24h using on 24h history\n", + "val_performance = {}\n", + "performance = {}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "stupid-medium", + "metadata": {}, + "outputs": [], + "source": [ + "OUT_STEPS = 6*24\n", + "multi_window = WindowGenerator(input_width=6*24,\n", + " label_width=OUT_STEPS,\n", + " shift=OUT_STEPS)\n", + "\n", + "multi_window.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "linear-registration", + "metadata": {}, + "outputs": [], + "source": [ + "class MultiStepLastBaseline(tf.keras.Model):\n", + " def call(self, inputs):\n", + " return tf.tile(inputs[:, -1:, :], [1, OUT_STEPS, 1])\n", + "\n", + "last_baseline = MultiStepLastBaseline()\n", + "last_baseline.compile(loss=tf.losses.MeanSquaredError(),\n", + " metrics=[tf.metrics.MeanAbsoluteError()])\n", + "\n", + "multi_val_performance = {}\n", + "multi_performance = {}\n", + "\n", + "multi_val_performance['Last'] = last_baseline.evaluate(multi_window.val)\n", + "multi_performance['Last'] = last_baseline.evaluate(multi_window.test, verbose=0)\n", + "multi_window.plot(last_baseline)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "functional-communication", + "metadata": {}, + "outputs": [], + "source": [ + "# this baseline repeats the previous day assuming tomorrow is same as today\n", + "class RepeatBaseline(tf.keras.Model):\n", + " def call(self, inputs):\n", + " return inputs\n", + "\n", + "repeat_baseline = RepeatBaseline()\n", + "repeat_baseline.compile(loss=tf.losses.MeanSquaredError(),\n", + " metrics=[tf.metrics.MeanAbsoluteError()])\n", + "\n", + "multi_val_performance['Repeat'] = repeat_baseline.evaluate(multi_window.val)\n", + "multi_performance['Repeat'] = repeat_baseline.evaluate(multi_window.test, verbose=0)\n", + "multi_window.plot(repeat_baseline)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "smaller-parker", + "metadata": {}, + "outputs": [], + "source": [ + "multi_linear_model = tf.keras.Sequential([\n", + " # Take the last time-step.\n", + " # Shape [batch, time, features] => [batch, 1, features]\n", + " tf.keras.layers.Lambda(lambda x: x[:, -1:, :]),\n", + " # Shape => [batch, 1, out_steps*features]\n", + " tf.keras.layers.Dense(OUT_STEPS*num_features,\n", + " kernel_initializer=tf.initializers.zeros),\n", + " # Shape => [batch, out_steps, features]\n", + " tf.keras.layers.Reshape([OUT_STEPS, num_features])\n", + "])\n", + "\n", + "history = compile_and_fit(multi_linear_model, multi_window)\n", + "\n", + "IPython.display.clear_output()\n", + "multi_val_performance['Linear'] = multi_linear_model.evaluate(multi_window.val)\n", + "multi_performance['Linear'] = multi_linear_model.evaluate(multi_window.test, verbose=0)\n", + "multi_window.plot(multi_linear_model)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "informative-cambridge", + "metadata": {}, + "outputs": [], + "source": [ + "multi_lstm_model = tf.keras.Sequential([\n", + " # Shape [batch, time, features] => [batch, lstm_units]\n", + " # Adding more `lstm_units` just overfits more quickly.\n", + " tf.keras.layers.LSTM(8, return_sequences=False),\n", + " # Shape => [batch, out_steps*features]\n", + " tf.keras.layers.Dense(OUT_STEPS*num_features),\n", + " #kernel_initializer=tf.initializers.zeros),\n", + " # Shape => [batch, out_steps, features]\n", + " tf.keras.layers.Reshape([OUT_STEPS, num_features])\n", + "])\n", + "\n", + "history = compile_and_fit(multi_lstm_model, multi_window)\n", + "\n", + "IPython.display.clear_output()\n", + "\n", + "multi_val_performance['LSTM'] = multi_lstm_model.evaluate(multi_window.val)\n", + "multi_performance['LSTM'] = multi_lstm_model.evaluate(multi_window.test, verbose=0)\n", + "multi_window.plot(multi_lstm_model)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "annoying-delhi", + "metadata": {}, + "outputs": [], + "source": [ + "multi_lstm_model.save('multi_lstm')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "published-cincinnati", + "metadata": {}, + "outputs": [], + "source": [ + "class FeedBack(tf.keras.Model):\n", + " def __init__(self, units, out_steps):\n", + " super().__init__()\n", + " self.out_steps = out_steps\n", + " self.units = units\n", + " self.lstm_cell = tf.keras.layers.LSTMCell(units)\n", + " # Also wrap the LSTMCell in an RNN to simplify the `warmup` method.\n", + " self.lstm_rnn = tf.keras.layers.RNN(self.lstm_cell, return_state=True)\n", + " self.dense = tf.keras.layers.Dense(num_features)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "significant-gravity", + "metadata": {}, + "outputs": [], + "source": [ + "feedback_model = FeedBack(units=32, out_steps=OUT_STEPS)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "qualified-champion", + "metadata": {}, + "outputs": [], + "source": [ + "def warmup(self, inputs):\n", + " # inputs.shape => (batch, time, features)\n", + " # x.shape => (batch, lstm_units)\n", + " x, *state = self.lstm_rnn(inputs)\n", + "\n", + " # predictions.shape => (batch, features)\n", + " prediction = self.dense(x)\n", + " return prediction, state\n", + "\n", + "FeedBack.warmup = warmup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "broad-patent", + "metadata": {}, + "outputs": [], + "source": [ + "prediction, state = feedback_model.warmup(multi_window.example[0])\n", + "prediction.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "simplified-jordan", + "metadata": {}, + "outputs": [], + "source": [ + "def call(self, inputs, training=None):\n", + " # Use a TensorArray to capture dynamically unrolled outputs.\n", + " predictions = []\n", + " # Initialize the lstm state\n", + " prediction, state = self.warmup(inputs)\n", + "\n", + " # Insert the first prediction\n", + " predictions.append(prediction)\n", + "\n", + " # Run the rest of the prediction steps\n", + " for n in range(1, self.out_steps):\n", + " # Use the last prediction as input.\n", + " x = prediction\n", + " # Execute one lstm step.\n", + " x, state = self.lstm_cell(x, states=state,\n", + " training=training)\n", + " # Convert the lstm output to a prediction.\n", + " prediction = self.dense(x)\n", + " # Add the prediction to the output\n", + " predictions.append(prediction)\n", + "\n", + " # predictions.shape => (time, batch, features)\n", + " predictions = tf.stack(predictions)\n", + " # predictions.shape => (batch, time, features)\n", + " predictions = tf.transpose(predictions, [1, 0, 2])\n", + " return predictions\n", + "\n", + "FeedBack.call = call" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "identical-scoop", + "metadata": {}, + "outputs": [], + "source": [ + "history = compile_and_fit(feedback_model, multi_window)\n", + "\n", + "IPython.display.clear_output()\n", + "\n", + "multi_val_performance['AR LSTM'] = feedback_model.evaluate(multi_window.val)\n", + "multi_performance['AR LSTM'] = feedback_model.evaluate(multi_window.test, verbose=0)\n", + "multi_window.plot(feedback_model)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "immediate-kentucky", + "metadata": {}, + "outputs": [], + "source": [ + "x = np.arange(len(multi_performance))\n", + "width = 0.3\n", + "\n", + "\n", + "metric_name = 'mean_absolute_error'\n", + "metric_index = multi_lstm_model.metrics_names.index('mean_absolute_error')\n", + "val_mae = [v[metric_index] for v in multi_val_performance.values()]\n", + "test_mae = [v[metric_index] for v in multi_performance.values()]\n", + "\n", + "plt.bar(x - 0.17, val_mae, width, label='Validation')\n", + "plt.bar(x + 0.17, test_mae, width, label='Test')\n", + "plt.xticks(ticks=x, labels=multi_performance.keys(),\n", + " rotation=45)\n", + "plt.ylabel(f'MAE (average over all times and outputs)')\n", + "_ = plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "parental-holiday", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pyenv-tms-demo", + "language": "python", + "name": "tms-demo" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/solutions/iot/weather-stations/machinelearning/predict-kafka-dataset.ipynb b/solutions/iot/weather-stations/machinelearning/predict-kafka-dataset.ipynb new file mode 100644 index 0000000..0aba4ff --- /dev/null +++ b/solutions/iot/weather-stations/machinelearning/predict-kafka-dataset.ipynb @@ -0,0 +1,351 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "computational-hamburg", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import datetime\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import tensorflow as tf\n", + "\n", + "import matplotlib as mpl\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import numpy as np\n", + "\n", + "from tqdm import tqdm\n", + "\n", + "from confluent_kafka import avro, Consumer, KafkaError, KafkaException\n", + "from confluent_kafka.avro import CachedSchemaRegistryClient\n", + "from confluent_kafka.avro.serializer.message_serializer import MessageSerializer as AvroSerde\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "frozen-belfast", + "metadata": {}, + "outputs": [], + "source": [ + "# load the model first before we start filling GPU mem with other stuff\n", + "# NOTE! If running on notebook env make sure you don't have other kernels consuming GPU mem\n", + "saved_model = tf.keras.models.load_model('multi_lstm')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "italic-offense", + "metadata": {}, + "outputs": [], + "source": [ + "def wind_vector(self, velocity, max_velocity, direction):\n", + " # Convert to radians.\n", + " wd_rad = direction*np.pi / 180\n", + " self['Wx'] = velocity*np.cos(wd_rad)\n", + " self['Wy'] = velocity*np.sin(wd_rad)\n", + " self['max Wx'] = max_velocity*np.cos(wd_rad)\n", + " self['max Wy'] = max_velocity*np.sin(wd_rad)\n", + "pd.DataFrame.wind_vector = wind_vector" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "casual-ticket", + "metadata": {}, + "outputs": [], + "source": [ + "def tod_signal(self, date_time):\n", + " day = 24*60*60\n", + " year = (365.2425)*day\n", + " timestamp_s = date_time.map(datetime.datetime.timestamp)\n", + " self['Day sin'] = np.sin(timestamp_s * (2 * np.pi / day))\n", + " self['Day cos'] = np.cos(timestamp_s * (2 * np.pi / day))\n", + " self['Year sin'] = np.sin(timestamp_s * (2 * np.pi / year))\n", + " self['Year cos'] = np.cos(timestamp_s * (2 * np.pi / year))\n", + "pd.DataFrame.tod_signal = tod_signal" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "offshore-utility", + "metadata": {}, + "outputs": [], + "source": [ + "schema_registry_config = {}\n", + "with open('../tms-secrets/schema_registry_uri') as f:\n", + " schema_registry_config['url'] = f.read().rstrip('\\n')\n", + " \n", + "schema_registry = CachedSchemaRegistryClient(schema_registry_config)\n", + "avro_serde = AvroSerde(schema_registry)\n", + "deserialize_avro = avro_serde.decode_message" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "temporal-prerequisite", + "metadata": {}, + "outputs": [], + "source": [ + "def create_client(): \n", + " \n", + " consumer_config = { \"group.id\": \"jhub-mac-5\",\n", + " \"max.poll.interval.ms\": 20000,\n", + " \"session.timeout.ms\": 10000,\n", + " \"default.topic.config\": {\"auto.offset.reset\": \"earliest\"},\n", + " \"security.protocol\": \"SSL\",\n", + " \"ssl.ca.location\": \"../tms-secrets/processing/ca.pem\",\n", + " \"ssl.certificate.location\": \"../tms-secrets/processing/service.cert\",\n", + " \"ssl.key.location\": \"../tms-secrets/processing/service.key\"\n", + " }\n", + " with open('../tms-secrets/kafka_service_uri') as f:\n", + " consumer_config['bootstrap.servers'] = f.read().rstrip('\\n')\n", + " \n", + " return Consumer(consumer_config) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "through-express", + "metadata": {}, + "outputs": [], + "source": [ + "dataset_dict = []\n", + "def consume_records():\n", + " client = create_client()\n", + " client.subscribe([\"observations.weather.multivariate\"])\n", + " i = 0\n", + " for i in tqdm(range(400000)):\n", + " msg = client.poll(15)\n", + " if msg is None: \n", + " continue\n", + " \n", + " if msg.error():\n", + " if msg.error().code() == KafkaError._PARTITION_EOF:\n", + " # End of partition event\n", + " sys.stderr.write('%% %s [%d] reached end at offset %d\\n' %\n", + " (msg.topic(), msg.partition(), msg.offset()))\n", + " elif msg.error():\n", + " raise KafkaException(msg.error())\n", + " else:\n", + " value = deserialize_avro(message=msg.value(), is_key=False)\n", + " dataset_dict.append(value)\n", + " pass\n", + " client.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "leading-somerset", + "metadata": {}, + "outputs": [], + "source": [ + "# input dateset from Kafka\n", + "#consume_records()\n", + "kafka_df = pd.json_normalize(dataset_dict)\n", + "kafka_df['measuredTime'] = pd.to_datetime(kafka_df['measuredTime'] * 1000 * 1000)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b714bac4-4d00-40eb-97df-a0c4fc1c5c14", + "metadata": {}, + "outputs": [], + "source": [ + "kafka_df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "egyptian-dressing", + "metadata": {}, + "outputs": [], + "source": [ + "# select features\n", + "columns = ['roadStationId', 'measuredTime', 'measurements.ILMANPAINE', 'measurements.ILMAN_KOSTEUS', 'measurements.ILMA', 'measurements.TUULENSUUNTA', 'measurements.MAKSIMITUULI', 'measurements.KESKITUULI']\n", + "kafka_df = kafka_df[columns]\n", + "kafka_df.index = kafka_df['measuredTime']\n", + "del kafka_df['measuredTime']\n", + "kafka_df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "direct-burke", + "metadata": {}, + "outputs": [], + "source": [ + "# fill gaps\n", + "kafka_interpo = kafka_df.groupby('roadStationId').resample('600s').mean().interpolate()\n", + "del kafka_interpo['roadStationId']\n", + "len(kafka_interpo.index.unique(level='roadStationId'))\n", + "# drop weather stations that can't provide all needed features\n", + "kafka_interpo = kafka_interpo.dropna()\n", + "kafka_interpo = kafka_interpo.iloc[kafka_interpo.index.get_level_values(0) == 2052]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "introductory-somalia", + "metadata": {}, + "outputs": [], + "source": [ + "# create wind vectors from velocity and direction\n", + "kafka_interpo.wind_vector(kafka_interpo.pop('measurements.TUULENSUUNTA'), kafka_interpo.pop('measurements.MAKSIMITUULI'), kafka_interpo.pop('measurements.KESKITUULI'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "british-mainland", + "metadata": {}, + "outputs": [], + "source": [ + "plt.hist2d(kafka_interpo['max Wx'], kafka_interpo['max Wy'], bins=(50, 50), vmax=10)\n", + "plt.colorbar()\n", + "plt.xlabel('Wind X [m/s]')\n", + "plt.ylabel('Wind Y [m/s]')\n", + "ax = plt.gca()\n", + "ax.axis('tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "maritime-willow", + "metadata": {}, + "outputs": [], + "source": [ + "# calculate time of day signal from time index\n", + "kafka_interpo.tod_signal(kafka_interpo.index.get_level_values('measuredTime'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "educational-moses", + "metadata": {}, + "outputs": [], + "source": [ + "column_names = pd.read_csv('predict/trainset_columns.csv', index_col=0)\n", + "kafka_interpo.columns = column_names['0'].values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bacterial-ukraine", + "metadata": {}, + "outputs": [], + "source": [ + "# Normalize\n", + "#train_mean = pd.read_pickle('predict/train_mean.pkl')\n", + "#train_std = pd.read_pickle('predict/train_std.pkl')\n", + "#kafka_norm = (kafka_interpo - train_mean) / train_std\n", + "#kafka_norm.shape\n", + "\n", + "# Normalize\n", + "input_mean = kafka_interpo.mean()\n", + "input_std = kafka_interpo.std()\n", + "kafka_norm = (kafka_interpo - input_mean) / input_std\n", + "kafka_norm.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "smart-state", + "metadata": {}, + "outputs": [], + "source": [ + "kafka_norm.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "controlling-supervisor", + "metadata": {}, + "outputs": [], + "source": [ + "HOURS = 24\n", + "#inpslic = slice(-6 * HOURS,None)\n", + "inputdf = kafka_norm[:6 * HOURS]\n", + "data = np.array(inputdf, dtype=np.float32)\n", + "input = tf.keras.preprocessing.timeseries_dataset_from_array(\n", + " data=data,\n", + " targets=None,\n", + " sequence_length=len(inputdf),\n", + " sequence_stride=1,\n", + " shuffle=True,\n", + " batch_size=32,)\n", + "y = saved_model.predict(input);\n", + "#y = repeat_baseline.predict(input);\n", + "\n", + "result = pd.DataFrame(y[0,:], columns=kafka_norm.columns)\n", + "result = result[:6 * HOURS]\n", + "result = input_std * result + input_mean\n", + "#result = train_std * result + train_mean\n", + "\n", + "result['date'] = inputdf.index.get_level_values(1) + pd.Timedelta(value = HOURS, unit = 'h')\n", + "result = result.set_index('date').add_prefix('pred_')\n", + "all = pd.concat([result, kafka_interpo.droplevel('roadStationId')], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fleet-praise", + "metadata": {}, + "outputs": [], + "source": [ + "mask = all.columns.str.contains('.*lämpötila.*|.*Suhteellinen.*')\n", + "all.sort_index().loc[:,mask].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3bc2caac-7890-4637-8fdf-b432a1f02be5", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pyenv-tms-demo", + "language": "python", + "name": "tms-demo" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.2" + } + }, + "nbformat": 4, 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z97_plu<-J2@E!+SSEx|7W#{#T6E2@QhoeL#XZejcU0;%k&j;M_a|y?)N?zT7qT!xP zI7v23mZ3;MhvI(IMqz1{6=;0hJAu|_aiMH_%iaaYP> manifests/prometheus-prometheus.yaml +```` + +Next we will create the Prometheus Operator CRDs and Aiven for M3 secrets + +```` +kubectl create -f manifests/setup +./create-m3-secret.sh +```` + +Highlander is a reverse proxy on Prometheus write path. It only allow single client to write to target (M3) so effectively deduplicates datapoints written by replicated Prometheus deployment (HA) + +Now that we have M3 secrets in place it's time to deploy Highlander Proxy + +```` +kubectl create -f ../k8s/highlander.yaml +```` + +All is now in place for deploying the actual Prometheus instances + +```` +kubectl create -f manifests + +```` + +With Prometheus running we can deploy ServiceMonitor for all our Kafka clients +```` +kubectl create -f ../k8s/prometheus-servicemonitor.yaml +```` diff --git a/solutions/iot/weather-stations/observability/k8s/highlander.yaml b/solutions/iot/weather-stations/observability/k8s/highlander.yaml new file mode 100644 index 0000000..b6ecd06 --- /dev/null +++ b/solutions/iot/weather-stations/observability/k8s/highlander.yaml @@ -0,0 +1,47 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + name: highlander + namespace: monitoring + labels: + app: highlander +spec: + replicas: 1 + selector: + matchLabels: + app: highlander + template: + metadata: + labels: + app: highlander + spec: + containers: + - name: highlander + image: ssaily/highlander:0.0.4 + envFrom: + - secretRef: + name: m3-prom + resources: + limits: + memory: 512Mi + cpu: "1" + requests: + memory: 256Mi + cpu: "100m" + imagePullPolicy: Always +--- +apiVersion: v1 +kind: Service +metadata: + name: highlander + namespace: monitoring + labels: + app: highlander +spec: + ports: + - name: highlander + port: 9092 + targetPort: 9092 + protocol: TCP + selector: + app: highlander diff --git a/solutions/iot/weather-stations/observability/k8s/prometheus-servicemonitor.yaml b/solutions/iot/weather-stations/observability/k8s/prometheus-servicemonitor.yaml new file mode 100644 index 0000000..28b2574 --- /dev/null +++ b/solutions/iot/weather-stations/observability/k8s/prometheus-servicemonitor.yaml @@ -0,0 +1,64 @@ +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + name: servicemonitor-enrichment + namespace: tms-demo +spec: + selector: + matchLabels: + app: tms-demo-enrichment + endpoints: + - interval: 10s + port: metrics +--- +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + name: servicemonitor-calculations + namespace: tms-demo +spec: + selector: + matchLabels: + app: tms-demo-calculations + endpoints: + - interval: 10s + port: metrics +--- +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + name: servicemonitor-multivariate + namespace: tms-demo +spec: + selector: + matchLabels: + app: tms-demo-multivariate + endpoints: + - interval: 10s + port: metrics +--- +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + name: servicemonitor-m3sink + namespace: tms-demo +spec: + selector: + matchLabels: + app: tms-demo-sink + endpoints: + - interval: 10s + port: metrics +--- +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + name: servicemonitor-ingest + namespace: tms-demo +spec: + selector: + matchLabels: + app: tms-demo-ingest + endpoints: + - interval: 10s + port: metrics diff --git a/solutions/iot/weather-stations/observability/opensearch/fluentbit-configmap.yaml b/solutions/iot/weather-stations/observability/opensearch/fluentbit-configmap.yaml new file mode 100644 index 0000000..b3672f6 --- /dev/null +++ b/solutions/iot/weather-stations/observability/opensearch/fluentbit-configmap.yaml @@ -0,0 +1,135 @@ +apiVersion: v1 +kind: ConfigMap +metadata: + name: fluent-bit-config + namespace: logging + labels: + k8s-app: fluent-bit +data: + # Configuration files: server, input, filters, and output + # ======================================================= + fluent-bit.conf: | + [SERVICE] + Flush 1 + Log_Level info + Daemon off + Parsers_File parsers.conf + HTTP_Server On + HTTP_Listen 0.0.0.0 + HTTP_Port 2020 + # Plugins_File /fluent-bit/etc/plugins.conf + + @INCLUDE input-kubernetes.conf + @INCLUDE filter-kubernetes.conf + @INCLUDE output-opensearch.conf + + input-kubernetes.conf: | + [INPUT] + Name tail + Path /var/log/containers/*.log + Tag kube.* + Parser docker + DB /var/log/flb_kube.db + Mem_Buf_Limit 20MB + Skip_Long_Lines On + Refresh_Interval 10 + # Control the log line length + Buffer_Chunk_Size 256k + Buffer_Max_Size 10240k + # Using the docker mode to deal with multiline messages emitted by docker + Docker_Mode On + + replace_info.lua: | + function replace_sensitive_info(tag, timestamp, record) + -- mask social security number + record["log"] = string.gsub(record["log"], "%d%d%d%-*%d%d%-*%d%d%d%d", "xxx-xx-xxxx") + -- mask credit card number + record["log"] = string.gsub(record["log"], "%d%d%d%d *%d%d%d%d *%d%d%d%d *%d%d%d%d", "xxxx xxxx xxxx xxxx") + -- mask email address + record["log"] = string.gsub(record["log"], "[%w+%.%-_]+@[%w+%.%-_]+%.%a%a+", "user@email.tld") + return 1, timestamp, record + end + + filter-kubernetes.conf: | + [FILTER] + Name kubernetes + Match kube.* + Kube_URL https://kubernetes.default.svc:443 + Kube_CA_File /var/run/secrets/kubernetes.io/serviceaccount/ca.crt + Kube_Token_File /var/run/secrets/kubernetes.io/serviceaccount/token + Kube_Tag_Prefix kube.var.log.containers. + # Try to merge the log messages + Merge_Log On + Merge_Log_Key log_processed + K8S-Logging.Parser On + K8S-Logging.Exclude Off + # ### sample log scrubbing filters + #[FILTER] + # Name lua + # Match kube.* + # # lua script to redact sensitive data in log messages + # script replace_info.lua + # call replace_sensitive_info + # ### end sample log scrubbing + + output-opensearch.conf: | + + [OUTPUT] + # write the log records that still have the 'kube.*' tags to OpenSearch + Name es + Match kube.* + Host ${OPENSEARCH_HOST} + Port ${OPENSEARCH_PORT} + Index kubernetes_cluster + tls On + Type doc + HTTP_User ${OPENSEARCH_USER} + HTTP_Passwd ${OPENSEARCH_PASSWORD} + + parsers.conf: | + [PARSER] + Name apache + Format regex + Regex ^(?[^ ]*) [^ ]* (?[^ ]*) \[(?

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z#f8w6F}^!?^KE#+ZDv+xd5O&3EmomZzsv?>E-~ygGum45fk!SBN&|eo1rKw^?aZJ4 E2O(~oYXATM literal 0 HcmV?d00001 diff --git a/solutions/iot/weather-stations/streamprocessing/gradle/wrapper/gradle-wrapper.properties b/solutions/iot/weather-stations/streamprocessing/gradle/wrapper/gradle-wrapper.properties new file mode 100644 index 0000000..ffed3a2 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/gradle/wrapper/gradle-wrapper.properties @@ -0,0 +1,5 @@ +distributionBase=GRADLE_USER_HOME +distributionPath=wrapper/dists +distributionUrl=https\://services.gradle.org/distributions/gradle-7.2-bin.zip +zipStoreBase=GRADLE_USER_HOME +zipStorePath=wrapper/dists diff --git a/solutions/iot/weather-stations/streamprocessing/gradlew b/solutions/iot/weather-stations/streamprocessing/gradlew new file mode 100755 index 0000000..4f906e0 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/gradlew @@ -0,0 +1,185 @@ +#!/usr/bin/env sh + +# +# Copyright 2015 the original author or authors. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +############################################################################## +## +## Gradle start up script for UN*X +## +############################################################################## + +# Attempt to set APP_HOME +# Resolve links: $0 may be a link +PRG="$0" +# Need this for relative symlinks. +while [ -h "$PRG" ] ; do + ls=`ls -ld "$PRG"` + link=`expr "$ls" : '.*-> \(.*\)$'` + if expr "$link" : '/.*' > /dev/null; then + PRG="$link" + else + PRG=`dirname "$PRG"`"/$link" + fi +done +SAVED="`pwd`" +cd "`dirname \"$PRG\"`/" >/dev/null +APP_HOME="`pwd -P`" +cd "$SAVED" >/dev/null + +APP_NAME="Gradle" +APP_BASE_NAME=`basename "$0"` + +# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. +DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"' + +# Use the maximum available, or set MAX_FD != -1 to use that value. +MAX_FD="maximum" + +warn () { + echo "$*" +} + +die () { + echo + echo "$*" + echo + exit 1 +} + +# OS specific support (must be 'true' or 'false'). +cygwin=false +msys=false +darwin=false +nonstop=false +case "`uname`" in + CYGWIN* ) + cygwin=true + ;; + Darwin* ) + darwin=true + ;; + MINGW* ) + msys=true + ;; + NONSTOP* ) + nonstop=true + ;; +esac + +CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar + + +# Determine the Java command to use to start the JVM. +if [ -n "$JAVA_HOME" ] ; then + if [ -x "$JAVA_HOME/jre/sh/java" ] ; then + # IBM's JDK on AIX uses strange locations for the executables + JAVACMD="$JAVA_HOME/jre/sh/java" + else + JAVACMD="$JAVA_HOME/bin/java" + fi + if [ ! -x "$JAVACMD" ] ; then + die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME + +Please set the JAVA_HOME variable in your environment to match the +location of your Java installation." + fi +else + JAVACMD="java" + which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. + +Please set the JAVA_HOME variable in your environment to match the +location of your Java installation." +fi + +# Increase the maximum file descriptors if we can. +if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then + MAX_FD_LIMIT=`ulimit -H -n` + if [ $? -eq 0 ] ; then + if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then + MAX_FD="$MAX_FD_LIMIT" + fi + ulimit -n $MAX_FD + if [ $? -ne 0 ] ; then + warn "Could not set maximum file descriptor limit: $MAX_FD" + fi + else + warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT" + fi +fi + +# For Darwin, add options to specify how the application appears in the dock +if $darwin; then + GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\"" +fi + +# For Cygwin or MSYS, switch paths to Windows format before running java +if [ "$cygwin" = "true" -o "$msys" = "true" ] ; then + APP_HOME=`cygpath --path --mixed "$APP_HOME"` + CLASSPATH=`cygpath --path --mixed "$CLASSPATH"` + + JAVACMD=`cygpath --unix "$JAVACMD"` + + # We build the pattern for arguments to be converted via cygpath + ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null` + SEP="" + for dir in $ROOTDIRSRAW ; do + ROOTDIRS="$ROOTDIRS$SEP$dir" + SEP="|" + done + OURCYGPATTERN="(^($ROOTDIRS))" + # Add a user-defined pattern to the cygpath arguments + if [ "$GRADLE_CYGPATTERN" != "" ] ; then + OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)" + fi + # Now convert the arguments - kludge to limit ourselves to /bin/sh + i=0 + for arg in "$@" ; do + CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -` + CHECK2=`echo "$arg"|egrep -c "^-"` ### Determine if an option + + if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition + eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"` + else + eval `echo args$i`="\"$arg\"" + fi + i=`expr $i + 1` + done + case $i in + 0) set -- ;; + 1) set -- "$args0" ;; + 2) set -- "$args0" "$args1" ;; + 3) set -- "$args0" "$args1" "$args2" ;; + 4) set -- "$args0" "$args1" "$args2" "$args3" ;; + 5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;; + 6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;; + 7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;; + 8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;; + 9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;; + esac +fi + +# Escape application args +save () { + for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done + echo " " +} +APP_ARGS=`save "$@"` + +# Collect all arguments for the java command, following the shell quoting and substitution rules +eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS" + +exec "$JAVACMD" "$@" diff --git a/solutions/iot/weather-stations/streamprocessing/gradlew.bat b/solutions/iot/weather-stations/streamprocessing/gradlew.bat new file mode 100644 index 0000000..ac1b06f --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/gradlew.bat @@ -0,0 +1,89 @@ +@rem +@rem Copyright 2015 the original author or authors. +@rem +@rem Licensed under the Apache License, Version 2.0 (the "License"); +@rem you may not use this file except in compliance with the License. +@rem You may obtain a copy of the License at +@rem +@rem https://www.apache.org/licenses/LICENSE-2.0 +@rem +@rem Unless required by applicable law or agreed to in writing, software +@rem distributed under the License is distributed on an "AS IS" BASIS, +@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +@rem See the License for the specific language governing permissions and +@rem limitations under the License. +@rem + +@if "%DEBUG%" == "" @echo off +@rem ########################################################################## +@rem +@rem Gradle startup script for Windows +@rem +@rem ########################################################################## + +@rem Set local scope for the variables with windows NT shell +if "%OS%"=="Windows_NT" setlocal + +set DIRNAME=%~dp0 +if "%DIRNAME%" == "" set DIRNAME=. +set APP_BASE_NAME=%~n0 +set APP_HOME=%DIRNAME% + +@rem Resolve any "." and ".." in APP_HOME to make it shorter. +for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi + +@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script. +set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m" + +@rem Find java.exe +if defined JAVA_HOME goto findJavaFromJavaHome + +set JAVA_EXE=java.exe +%JAVA_EXE% -version >NUL 2>&1 +if "%ERRORLEVEL%" == "0" goto execute + +echo. +echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. +echo. +echo Please set the JAVA_HOME variable in your environment to match the +echo location of your Java installation. + +goto fail + +:findJavaFromJavaHome +set JAVA_HOME=%JAVA_HOME:"=% +set JAVA_EXE=%JAVA_HOME%/bin/java.exe + +if exist "%JAVA_EXE%" goto execute + +echo. +echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME% +echo. +echo Please set the JAVA_HOME variable in your environment to match the +echo location of your Java installation. + +goto fail + +:execute +@rem Setup the command line + +set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar + + +@rem Execute Gradle +"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %* + +:end +@rem End local scope for the variables with windows NT shell +if "%ERRORLEVEL%"=="0" goto mainEnd + +:fail +rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of +rem the _cmd.exe /c_ return code! +if not "" == "%GRADLE_EXIT_CONSOLE%" exit 1 +exit /b 1 + +:mainEnd +if "%OS%"=="Windows_NT" endlocal + +:omega diff --git a/solutions/iot/weather-stations/streamprocessing/jmx-config/kafka-client.yaml b/solutions/iot/weather-stations/streamprocessing/jmx-config/kafka-client.yaml new file mode 100644 index 0000000..d24e7b7 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/jmx-config/kafka-client.yaml @@ -0,0 +1,108 @@ +lowercaseOutputName: true +rules: + + #kafka.connect:type=app-info,client-id="{clientid}" + #kafka.consumer:type=app-info,client-id="{clientid}" + #kafka.producer:type=app-info,client-id="{clientid}" + - pattern: 'kafka.(.+)<>start-time-ms' + name: kafka_$1_start_time_seconds + labels: + clientId: "$2" + help: "Kafka $1 JMX metric start time seconds" + type: GAUGE + valueFactor: 0.001 + - pattern: 'kafka.(.+)<>(commit-id|version): (.+)' + name: kafka_$1_$3_info + value: 1 + labels: + clientId: "$2" + $3: "$4" + help: "Kafka $1 JMX metric info version and commit-id" + type: GAUGE + + #kafka.producer:type=producer-topic-metrics,client-id="{clientid}",topic="{topic}"", partition="{partition}" + #kafka.consumer:type=consumer-fetch-manager-metrics,client-id="{clientid}",topic="{topic}"", partition="{partition}" + - pattern: kafka.(.+)<>(.+-total|compression-rate|.+-avg|.+-replica|.+-lag|.+-lead) + name: kafka_$2_$6 + labels: + clientId: "$3" + topic: "$4" + partition: "$5" + help: "Kafka $1 JMX metric type $2" + type: GAUGE + + #kafka.producer:type=producer-topic-metrics,client-id="{clientid}",topic="{topic}" + #kafka.consumer:type=consumer-fetch-manager-metrics,client-id="{clientid}",topic="{topic}"", partition="{partition}" + - pattern: kafka.(.+)<>(.+-total|compression-rate|.+-avg) + name: kafka_$2_$5 + labels: + clientId: "$3" + topic: "$4" + help: "Kafka $1 JMX metric type $2" + type: GAUGE + + #kafka.connect:type=connect-node-metrics,client-id="{clientid}",node-id="{nodeid}" + #kafka.consumer:type=consumer-node-metrics,client-id=consumer-1,node-id="{nodeid}" + - pattern: kafka.(.+)<>(.+-total|.+-avg) + name: kafka_$2_$5 + labels: + clientId: "$3" + nodeId: "$4" + help: "Kafka $1 JMX metric type $2" + type: UNTYPED + + #kafka.connect:type=kafka-metrics-count,client-id="{clientid}" + #kafka.consumer:type=consumer-fetch-manager-metrics,client-id="{clientid}" + #kafka.consumer:type=consumer-coordinator-metrics,client-id="{clientid}" + #kafka.consumer:type=consumer-metrics,client-id="{clientid}" + - pattern: kafka.(.+)<>(.+-total|.+-avg|.+-bytes|.+-count|.+-rate|.+-ratio|.+-age|.+-flight|.+-threads|.+-connectors|.+-tasks|.+-ago) + name: kafka_$2_$4 + labels: + clientId: "$3" + help: "Kafka $1 JMX metric type $2" + type: GAUGE + + #kafka.connect:type=connector-task-metrics,connector="{connector}",task="{task}<> status" + - pattern: 'kafka.connect<>status: ([a-z-]+)' + name: kafka_connect_connector_status + value: 1 + labels: + connector: "$1" + task: "$2" + status: "$3" + help: "Kafka Connect JMX Connector status" + type: GAUGE + + #kafka.connect:type=task-error-metrics,connector="{connector}",task="{task}" + #kafka.connect:type=source-task-metrics,connector="{connector}",task="{task}" + #kafka.connect:type=sink-task-metrics,connector="{connector}",task="{task}" + #kafka.connect:type=connector-task-metrics,connector="{connector}",task="{task}" + - pattern: kafka.connect<>(.+-total|.+-count|.+-ms|.+-ratio|.+-avg|.+-failures|.+-requests|.+-timestamp|.+-logged|.+-errors|.+-retries|.+-skipped) + name: kafka_connect_$1_$4 + labels: + connector: "$2" + task: "$3" + help: "Kafka Connect JMX metric type $1" + type: GAUGE + + #kafka.connect:type=connector-metrics,connector="{connector}" + #kafka.connect:type=connect-worker-metrics,connector="{connector}" + - pattern: kafka.connect<>([a-z-]+) + name: kafka_connect_worker_$2 + labels: + connector: "$1" + help: "Kafka Connect JMX metric $1" + type: GAUGE + + #kafka.connect:type=connect-worker-metrics + - pattern: kafka.connect<>([a-z-]+) + name: kafka_connect_worker_$1 + help: "Kafka Connect JMX metric worker" + type: GAUGE + + #kafka.connect:type=connect-worker-rebalance-metrics + - pattern: kafka.connect<>([a-z-]+) + name: kafka_connect_worker_rebalance_$1 + help: "Kafka Connect JMX metric rebalance information" + type: GAUGE + diff --git a/solutions/iot/weather-stations/streamprocessing/settings.gradle b/solutions/iot/weather-stations/streamprocessing/settings.gradle new file mode 100644 index 0000000..e0fc369 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/settings.gradle @@ -0,0 +1,8 @@ +pluginManagement { + repositories { + gradlePluginPortal() + mavenCentral() + } +} + +rootProject.name = 'streams' diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/avro/countandsum.avsc b/solutions/iot/weather-stations/streamprocessing/src/main/avro/countandsum.avsc new file mode 100644 index 0000000..8d5272e --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/avro/countandsum.avsc @@ -0,0 +1,27 @@ +{ + "namespace": "fi.saily.tmsdemo", + "type": "record", + "name": "CountAndSum", + "fields": [ + { + "name": "id", + "type": "int" + }, + { + "name": "roadStationId", + "type": "int" + }, + { + "name": "name", + "type": "string" + }, + { + "name": "count", + "type": "long" + }, + { + "name": "sum", + "type": "double" + } + ] + } \ No newline at end of file diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/avro/digitraffic.avsc b/solutions/iot/weather-stations/streamprocessing/src/main/avro/digitraffic.avsc new file mode 100644 index 0000000..e27b393 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/avro/digitraffic.avsc @@ -0,0 +1,46 @@ +{ + "name": "DigitrafficMessage", + "namespace": "fi.saily.tmsdemo", + "type": "record", + "fields" : [ + { + "name": "id", + "type": "int" + }, + { + "name": "roadStationId", + "type": "int" + }, + { + "name": "name", + "type": "string" + }, + { + "name": "sensorValue", + "type": "double" + }, + { + "name": "sensorUnit", + "type": "string" + }, + { + "name": "measuredTime", + "type": "long" + }, + { + "name": "municipality", + "type": "string", + "default": "" + }, + { + "name": "province", + "type": "string", + "default": "" + }, + { + "name": "geohash", + "type": "string", + "default": "" + } + ] +} \ No newline at end of file diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/avro/digitrafficaggr.avsc b/solutions/iot/weather-stations/streamprocessing/src/main/avro/digitrafficaggr.avsc new file mode 100644 index 0000000..06bb22d --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/avro/digitrafficaggr.avsc @@ -0,0 +1,27 @@ +{ + "name": "DigitrafficAggregate", + "namespace": "fi.saily.tmsdemo", + "type": "record", + "fields" : [ + { + "name": "id", + "type": "int" + }, + { + "name": "roadStationId", + "type": "int" + }, + { + "name": "name", + "type": "string" + }, + { + "name": "sensorValue", + "type": "double" + }, + { + "name": "measuredTime", + "type": "long" + } + ] +} \ No newline at end of file diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/avro/digitrafficmultivariate.avsc b/solutions/iot/weather-stations/streamprocessing/src/main/avro/digitrafficmultivariate.avsc new file mode 100644 index 0000000..8276eb9 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/avro/digitrafficmultivariate.avsc @@ -0,0 +1,31 @@ +{ + "name": "DigitrafficMessageMV", + "namespace": "fi.saily.tmsdemo", + "type": "record", + "fields" : [ + { + "name": "roadStationId", + "type": "int" + }, + { + "name": "measuredTime", + "type": "long" + }, + { + "name": "municipality", + "type": "string" + }, + { + "name": "province", + "type": "string" + }, + { + "name": "geohash", + "type": "string" + }, + { + "name": "measurements", + "type": {"type": "map", "values": "double"} + } + ] +} \ No newline at end of file diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/avro/weatherstation.avsc b/solutions/iot/weather-stations/streamprocessing/src/main/avro/weatherstation.avsc new file mode 100644 index 0000000..d0876d8 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/avro/weatherstation.avsc @@ -0,0 +1,27 @@ +{ + "name": "WeatherStation", + "namespace": "fi.saily.tmsdemo", + "type": "record", + "fields" : [ + { + "name": "roadStationId", + "type": "int" + }, + { + "name": "name", + "type": "string" + }, + { + "name": "municipality", + "type": "string" + }, + { + "name": "province", + "type": "string" + }, + { + "name": "geohash", + "type": "string" + } + ] +} \ No newline at end of file diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/CalculationsTopology.java b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/CalculationsTopology.java new file mode 100644 index 0000000..d17c53f --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/CalculationsTopology.java @@ -0,0 +1,94 @@ +package io.aiven.streams; + +import java.time.Duration; +import java.util.HashMap; +import java.util.Map; + +import org.apache.kafka.common.serialization.Serde; +import org.apache.kafka.common.serialization.Serdes; +import org.apache.kafka.streams.KeyValue; +import org.apache.kafka.streams.StreamsBuilder; +import org.apache.kafka.streams.Topology; +import org.apache.kafka.streams.kstream.*; +import org.apache.kafka.streams.kstream.Suppressed.BufferConfig; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.context.annotation.Bean; +import org.springframework.context.annotation.Profile; +import org.springframework.stereotype.Component; + +import fi.saily.tmsdemo.CountAndSum; +import fi.saily.tmsdemo.DigitrafficAggregate; +import fi.saily.tmsdemo.DigitrafficMessage; +import io.confluent.kafka.streams.serdes.avro.SpecificAvroSerde; + +@Component +@Profile("calculations") +public class CalculationsTopology { + private static Logger logger = LoggerFactory.getLogger(CalculationsTopology.class); + + private CalculationsTopology() { + /* + * Private Constructor will prevent the instantiation of this class directly + */ + } + + @Bean + public static Topology kafkaStreamTopology(@Value("${spring.application.schema-registry}") String schemaRegistryUrl) { + + final StreamsBuilder streamsBuilder = new StreamsBuilder(); + + // schema registry + Map serdeConfig = new HashMap<>(); + serdeConfig.put("schema.registry.url", schemaRegistryUrl); + serdeConfig.put("basic.auth.credentials.source", "URL"); + Serde valueSerde = new SpecificAvroSerde<>(); + Serde aggrSerde = new SpecificAvroSerde<>(); + Serde resultSerde = new SpecificAvroSerde<>(); + + valueSerde.configure(serdeConfig, false); + aggrSerde.configure(serdeConfig, false); + resultSerde.configure(serdeConfig, false); + + Grouped groupedMessage = Grouped.with(Serdes.String(), valueSerde); + + KTable, DigitrafficAggregate> windows = streamsBuilder.stream("observations.weather.processed", + Consumed.with(Serdes.String(), valueSerde).withTimestampExtractor(new ObservationTimestampExtractor())) + .filter((k, v) -> v.getName() != null && v.getName().contentEquals("ILMA")) + .selectKey((key, value) -> key + "-" + String.valueOf(value.getId())) + .groupByKey(groupedMessage) + .windowedBy(TimeWindows.of(Duration.ofMinutes(60)).advanceBy(Duration.ofMinutes(60)).grace(Duration.ofMinutes(10))) + .aggregate(() -> new CountAndSum(0, 0, "", 0L, 0.0), + (key, value, aggregate) -> { + if (aggregate.getRoadStationId() == 0) { + aggregate.setRoadStationId(value.getRoadStationId()); + aggregate.setId(value.getId()); + aggregate.setName(value.getName()); + } + aggregate.setCount(aggregate.getCount() + 1); + aggregate.setSum(aggregate.getSum() + value.getSensorValue()); + return aggregate; + }, Materialized.with(Serdes.String(), aggrSerde)) + .suppress(Suppressed.untilWindowCloses(BufferConfig.unbounded())) + .mapValues((key, value) -> DigitrafficAggregate.newBuilder() + .setId(value.getId()) + .setRoadStationId(value.getRoadStationId()) + .setName(value.getName()) + .setSensorValue(value.getSum() / value.getCount()) + .setMeasuredTime(key.window().end()) + .build() + ); + + windows + .toStream() + .map((key, value) -> + new KeyValue(String.valueOf(value.getRoadStationId()), value)) + .to("observations.weather.avg-air-temperature", Produced.with(Serdes.String(), resultSerde)); + + return streamsBuilder.build(); + } + + + +} diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/CreateMultivariate.java b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/CreateMultivariate.java new file mode 100644 index 0000000..0d1b40f --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/CreateMultivariate.java @@ -0,0 +1,90 @@ +package io.aiven.streams; + +import java.time.Duration; +import java.util.HashMap; +import java.util.Map; + +import org.apache.kafka.common.serialization.Serde; +import org.apache.kafka.common.serialization.Serdes; +import org.apache.kafka.common.utils.Bytes; +import org.apache.kafka.streams.KeyValue; +import org.apache.kafka.streams.StreamsBuilder; +import org.apache.kafka.streams.Topology; +import org.apache.kafka.streams.kstream.*; +import org.apache.kafka.streams.kstream.Suppressed.BufferConfig; +import org.apache.kafka.streams.state.SessionStore; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.context.annotation.Bean; +import org.springframework.context.annotation.Profile; +import org.springframework.stereotype.Component; + +import fi.saily.tmsdemo.DigitrafficMessage; +import fi.saily.tmsdemo.DigitrafficMessageMV; +import io.confluent.kafka.streams.serdes.avro.SpecificAvroSerde; + +@Component +@Profile("multivariate") +public class CreateMultivariate { + private static Logger logger = LoggerFactory.getLogger(CalculationsTopology.class); + + private CreateMultivariate() { + /* + * Private Constructor will prevent the instantiation of this class directly + */ + } + + @Bean + public static Topology kafkaStreamTopology(@Value("${spring.application.schema-registry}") String schemaRegistryUrl) { + + final StreamsBuilder streamsBuilder = new StreamsBuilder(); + + // schema registry + Map serdeConfig = new HashMap<>(); + serdeConfig.put("schema.registry.url", schemaRegistryUrl); + serdeConfig.put("basic.auth.credentials.source", "URL"); + final Serde valueSerde = new SpecificAvroSerde<>(); + final Serde valueMvSerde = new SpecificAvroSerde<>(); + valueSerde.configure(serdeConfig, false); + valueMvSerde.configure(serdeConfig, false); + + Grouped groupedMessage = Grouped.with(Serdes.String(), valueSerde); + + streamsBuilder.stream("observations.weather.municipality", + Consumed.with(Serdes.String(), valueSerde).withTimestampExtractor(new ObservationTimestampExtractor())) + .filter((k, v) -> v.getName() != null) + .groupByKey(groupedMessage) + .windowedBy(SessionWindows.with(Duration.ofMinutes(1)).grace(Duration.ofMinutes(15))) + .aggregate( + () -> new DigitrafficMessageMV(-1, 0L, "", "", "", new HashMap<>()) , /* initializer */ + (aggKey, newValue, aggValue) -> { + if (aggValue.getRoadStationId() < 0) { + aggValue.setMunicipality(newValue.getMunicipality()); + aggValue.setProvince(newValue.getProvince()); + aggValue.setGeohash(newValue.getGeohash()); + aggValue.setRoadStationId(newValue.getRoadStationId()); + aggValue.setMeasuredTime(newValue.getMeasuredTime()); + } + Map m = aggValue.getMeasurements(); + m.put(newValue.getName(), newValue.getSensorValue()); + return aggValue; + }, /* adder */ + (aggKey, leftAggValue, rightAggValue) -> { + leftAggValue.getMeasurements().putAll(rightAggValue.getMeasurements()); + return leftAggValue; + }, /* session merger */ + Materialized.>as("multivariate-state-store") + .withValueSerde(valueMvSerde)) /* serde for aggregate value */ + .suppress(Suppressed.untilWindowCloses(BufferConfig.unbounded())) + .toStream() + .map((key, value) -> new KeyValue<>(String.valueOf(value.getRoadStationId()), value)) + .to("observations.weather.multivariate", Produced.with(Serdes.String(), valueMvSerde)); + + + return streamsBuilder.build(); + } + + + +} diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/EnrichmentTopology.java b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/EnrichmentTopology.java new file mode 100644 index 0000000..9b85454 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/EnrichmentTopology.java @@ -0,0 +1,121 @@ +package io.aiven.streams; + +import java.time.Instant; +import java.util.HashMap; +import java.util.Map; +import java.util.Optional; + +import com.fasterxml.jackson.databind.JsonNode; +import org.apache.avro.generic.GenericRecord; +import org.apache.commons.text.StringEscapeUtils; +import org.apache.kafka.common.serialization.Serde; +import org.apache.kafka.common.serialization.Serdes; +import org.apache.kafka.streams.KeyValue; +import org.apache.kafka.streams.StreamsBuilder; +import org.apache.kafka.streams.Topology; +import org.apache.kafka.streams.kstream.Consumed; +import org.apache.kafka.streams.kstream.KStream; +import org.apache.kafka.streams.kstream.KTable; +import org.apache.kafka.streams.kstream.Produced; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.context.annotation.Bean; +import org.springframework.context.annotation.Profile; +import org.springframework.kafka.support.serializer.JsonSerde; +import org.springframework.stereotype.Component; + +import ch.hsr.geohash.GeoHash; +import fi.saily.tmsdemo.DigitrafficMessage; +import fi.saily.tmsdemo.WeatherStation; +import io.confluent.kafka.streams.serdes.avro.GenericAvroSerde; +import io.confluent.kafka.streams.serdes.avro.SpecificAvroSerde; + +@Component +@Profile("enrichment") +public class EnrichmentTopology { + + private EnrichmentTopology() { + /* + * Private Constructor will prevent the instantiation of this class directly + */ + } + + @Bean + public static Topology kafkaStreamTopology(@Value("${spring.application.schema-registry}") String schemaRegistryUrl) { + final StreamsBuilder streamsBuilder = new StreamsBuilder(); + + // schema registry + Map serdeConfig = new HashMap<>(); + serdeConfig.put("schema.registry.url", schemaRegistryUrl); + serdeConfig.put("basic.auth.credentials.source", "URL"); + Serde valueSerde = new SpecificAvroSerde<>(); + Serde genericSerde = new GenericAvroSerde(); + valueSerde.configure(serdeConfig, false); + genericSerde.configure(serdeConfig, false); + + + // Sourced weather stations from PostreSQL table + KTable stationTable = + streamsBuilder.table("tms-demo-pg.public.weather_stations", Consumed.with(Serdes.String(), genericSerde)) + .mapValues((key, value) -> WeatherStation.newBuilder() + .setRoadStationId((Integer)value.get("roadstationid")) + .setGeohash(calculateGeohash(value)) + .setName("") + .setMunicipality(value.get("municipality") != null ? value.get("municipality").toString() : "") + .setProvince(value.get("province") != null ? value.get("province").toString() : "") + .build()); + + KStream jsonWeatherStream = streamsBuilder.stream("observations.weather.raw", + Consumed.with(Serdes.String(), new JsonSerde<>(JsonNode.class))); + + jsonWeatherStream + .filter((k, v) -> !k.isBlank() && v.get("measuredTime") != null) + .map((k,v) -> convertToAvro(v)) + .to("observations.weather.processed", Produced.with(Serdes.String(), valueSerde)); + + KStream avroWeatherStream = + streamsBuilder.stream("observations.weather.processed", + Consumed.with(Serdes.String(), valueSerde).withTimestampExtractor(new ObservationTimestampExtractor())); + + avroWeatherStream + .filter((k, v) -> !k.isBlank()) + .join(stationTable, (measurement, station) -> + DigitrafficMessage.newBuilder(measurement) + .setMunicipality(StringEscapeUtils.unescapeJava(station.getMunicipality())) + .setProvince(StringEscapeUtils.unescapeJava(station.getProvince())) + .setGeohash(station.getGeohash()) + .build() + ) + .to("observations.weather.municipality", Produced.with(Serdes.String(), valueSerde)); + + return streamsBuilder.build(); + } + + private static final String calculateGeohash(GenericRecord station) { + return GeoHash.geoHashStringWithCharacterPrecision(Double.parseDouble(station.get("latitude").toString()), + Double.parseDouble(station.get("longitude").toString()), 6); + } + + private static final KeyValue convertToAvro(JsonNode v) { + Optional stationId = Optional.ofNullable(v.get("roadStationId")); + if (stationId.isPresent()) { + Optional id = Optional.ofNullable(v.get("id")); + Optional name = Optional.ofNullable(v.get("name")); + Optional value = Optional.ofNullable(v.get("sensorValue")); + Optional time = Optional.ofNullable(v.get("measuredTime")); + Optional unit = Optional.ofNullable(v.get("sensorUnit")); + + final DigitrafficMessage msg = DigitrafficMessage.newBuilder() + .setId(id.get().asInt()) + .setName(name.get().asText()) + .setSensorValue(value.get().asDouble()) + .setRoadStationId(stationId.get().asInt()) + .setMeasuredTime(Instant.parse(time.get().asText()).toEpochMilli()) + .setSensorUnit(unit.get().asText()) + .build(); + return KeyValue.pair(stationId.get().asText(), msg); + } else { + return KeyValue.pair("", null); + } + + } +} diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/KafkaStreamsConfig.java b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/KafkaStreamsConfig.java new file mode 100644 index 0000000..a450bd5 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/KafkaStreamsConfig.java @@ -0,0 +1,59 @@ +package io.aiven.streams; + +import com.fasterxml.jackson.databind.JsonNode; + +import org.apache.kafka.clients.CommonClientConfigs; +import org.apache.kafka.clients.producer.ProducerConfig; +import org.apache.kafka.common.serialization.Serdes; +import org.apache.kafka.streams.KafkaStreams; +import org.apache.kafka.streams.StreamsConfig; +import org.apache.kafka.streams.Topology; +import org.springframework.beans.factory.annotation.Autowired; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.boot.autoconfigure.kafka.KafkaProperties; +import org.springframework.context.ApplicationContext; +import org.springframework.context.annotation.Bean; +import org.springframework.context.annotation.Configuration; +import org.springframework.kafka.support.serializer.JsonDeserializer; +import org.springframework.kafka.support.serializer.JsonSerde; + +import java.util.Properties; + +@Configuration +public class KafkaStreamsConfig { + @Autowired + private ApplicationContext appContext; + + @Bean + public KafkaStreams kafkaStreams(KafkaProperties kafkaProperties, + @Value("${spring.application.name}") String appName) { + final Properties props = new Properties(); + + // inject SSL related properties + props.putAll(kafkaProperties.getSsl().buildProperties()); + props.putAll(kafkaProperties.getProperties()); + + // common client configurations + props.put(CommonClientConfigs.CLIENT_DNS_LOOKUP_CONFIG, "use_all_dns_ips"); + + // stream config centric ones + props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaProperties.getBootstrapServers()); + props.put(StreamsConfig.APPLICATION_ID_CONFIG, appName); + props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass()); + props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, JsonSerde.class); + props.put(StreamsConfig.STATE_DIR_CONFIG, "data"); + + // producer config + props.put(ProducerConfig.COMPRESSION_TYPE_CONFIG, "gzip"); + props.put(ProducerConfig.RETRIES_CONFIG, "3"); + // others + props.put(JsonDeserializer.VALUE_DEFAULT_TYPE, JsonNode.class); + + final KafkaStreams kafkaStreams = new KafkaStreams((Topology) appContext.getBean("kafkaStreamTopology"), props); + + kafkaStreams.start(); + + return kafkaStreams; + } + +} \ No newline at end of file diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/ObservationTimestampExtractor.java b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/ObservationTimestampExtractor.java new file mode 100644 index 0000000..ace5a0e --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/ObservationTimestampExtractor.java @@ -0,0 +1,21 @@ +package io.aiven.streams; + +import org.apache.kafka.clients.consumer.ConsumerRecord; +import org.apache.kafka.streams.processor.TimestampExtractor; + +import fi.saily.tmsdemo.DigitrafficMessage; + +public class ObservationTimestampExtractor implements TimestampExtractor { + + @Override + public long extract(ConsumerRecord record, long partitionTime) { + + if (record.value() instanceof DigitrafficMessage) { + DigitrafficMessage msg = (DigitrafficMessage) record.value(); + return msg.getMeasuredTime(); + } + + return 0; + } + +} diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/StreamsApplication.java b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/StreamsApplication.java new file mode 100644 index 0000000..e9d861e --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/java/io/aiven/streams/StreamsApplication.java @@ -0,0 +1,13 @@ +package io.aiven.streams; + +import org.springframework.boot.SpringApplication; +import org.springframework.boot.autoconfigure.SpringBootApplication; + +@SpringBootApplication +public class StreamsApplication { + + public static void main(String[] args) { + SpringApplication.run(StreamsApplication.class, args); + } + +} diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/resources/application.yml b/solutions/iot/weather-stations/streamprocessing/src/main/resources/application.yml new file mode 100644 index 0000000..88dba0c --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/resources/application.yml @@ -0,0 +1,17 @@ +# With SSL configured +spring: + application: + name: tms-streams-demo-${SPRING_PROFILES_ACTIVE} + schema-registry: ${SCHEMA_REGISTRY} + kafka: + bootstrap-servers: ${BOOTSTRAP_SERVERS} + ssl: + truststore-location: file:/etc/streams/tms-processing-cert/client.truststore.jks + truststore-password: ${truststore-password} + truststore-type: JKS + keystore-location: file:/etc/streams/tms-processing-cert/client.keystore.p12 + keystore-password: ${keystore-password} + keystore-type: PKCS12 + key-password: ${key-password} + properties: + security.protocol: SSL \ No newline at end of file diff --git a/solutions/iot/weather-stations/streamprocessing/src/main/resources/logback-spring.xml b/solutions/iot/weather-stations/streamprocessing/src/main/resources/logback-spring.xml new file mode 100644 index 0000000..c6b1639 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/main/resources/logback-spring.xml @@ -0,0 +1,25 @@ + + + + + + + + %d{"yyyy-MM-dd'T'HH:mm:ss,SSSXXX", UTC} - %msg%n + + + + %d{"yyyy-MM-dd'T'HH:mm:ss,SSSXXX", UTC} %highlight(%-5level) [%blue(%t)] %yellow(%C{1.}): %msg%n%throwable + + + + + + + + + + + + + \ No newline at end of file diff --git a/solutions/iot/weather-stations/streamprocessing/src/test/java/io/aiven/streams/CalculationsTests.java b/solutions/iot/weather-stations/streamprocessing/src/test/java/io/aiven/streams/CalculationsTests.java new file mode 100644 index 0000000..8555909 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/test/java/io/aiven/streams/CalculationsTests.java @@ -0,0 +1,134 @@ +package io.aiven.streams; + +import java.io.IOException; +import java.time.Instant; +import java.util.Collections; +import java.util.Map; +import java.util.Properties; + +import com.fasterxml.jackson.databind.JsonNode; +import org.apache.kafka.common.serialization.Serde; +import org.apache.kafka.common.serialization.Serdes; +import org.apache.kafka.streams.KeyValue; +import org.apache.kafka.streams.StreamsConfig; +import org.apache.kafka.streams.TestInputTopic; +import org.apache.kafka.streams.TestOutputTopic; +import org.apache.kafka.streams.Topology; +import org.apache.kafka.streams.TopologyTestDriver; +import org.junit.jupiter.api.AfterEach; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.kafka.support.serializer.JsonDeserializer; +import org.springframework.kafka.support.serializer.JsonSerde; +import org.springframework.kafka.support.serializer.JsonSerializer; + +import fi.saily.tmsdemo.DigitrafficAggregate; +import fi.saily.tmsdemo.DigitrafficMessage; +import io.confluent.kafka.schemaregistry.client.rest.exceptions.RestClientException; +import io.confluent.kafka.schemaregistry.testutil.MockSchemaRegistry; +import io.confluent.kafka.serializers.AbstractKafkaSchemaSerDeConfig; +import io.confluent.kafka.streams.serdes.avro.SpecificAvroSerde; + +import static org.hamcrest.CoreMatchers.equalTo; +import static org.hamcrest.MatcherAssert.assertThat; + +class CalculationsTests { + + private Logger logger = LoggerFactory.getLogger(CalculationsTests.class); + + private static final String SCHEMA_REGISTRY_SCOPE = CalculationsTests.class.getName(); + private static final String MOCK_SCHEMA_REGISTRY_URL = "mock://" + SCHEMA_REGISTRY_SCOPE; + + protected TestOutputTopic avgOutputTopic; + protected TestInputTopic processedInputTopic; + + private TopologyTestDriver testDriver; + + @BeforeEach + public void setup() throws IOException, RestClientException { + + + Map schemaRegistryConfig = Collections + .singletonMap(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, MOCK_SCHEMA_REGISTRY_URL); + + Serde stringSerde = Serdes.String(); + + SpecificAvroSerde digitrafficSerde = new SpecificAvroSerde<>(); + digitrafficSerde.configure(schemaRegistryConfig, false); + + SpecificAvroSerde aggrSerde = new SpecificAvroSerde<>(); + aggrSerde.configure(schemaRegistryConfig, false); + + + Properties config = new Properties(); + config.setProperty(StreamsConfig.APPLICATION_ID_CONFIG, "tms-test-calculation"); + config.setProperty(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "foo:1234"); + config.setProperty(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName()); + config.setProperty(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, JsonSerde.class.getName()); + config.put(JsonSerializer.ADD_TYPE_INFO_HEADERS, true); + config.put(JsonDeserializer.TRUSTED_PACKAGES, "*"); + config.setProperty(JsonDeserializer.VALUE_DEFAULT_TYPE, JsonNode.class.getName()); + + Topology topology = CalculationsTopology.kafkaStreamTopology(MOCK_SCHEMA_REGISTRY_URL); + logger.info(topology.describe().toString()); + testDriver = new TopologyTestDriver(topology, config); + + avgOutputTopic = testDriver.createOutputTopic( + "observations.weather.avg-air-temperature", + stringSerde.deserializer(), + aggrSerde.deserializer()); + + processedInputTopic = testDriver.createInputTopic( + "observations.weather.processed", + stringSerde.serializer(), + digitrafficSerde.serializer()); + + } + + @AfterEach + void afterEach() { + testDriver.close(); + MockSchemaRegistry.dropScope(SCHEMA_REGISTRY_SCOPE); + } + + @Test + public void shouldCalcAverage() throws IOException, RestClientException { + processedInputTopic.pipeInput("12016", DigitrafficMessage.newBuilder() + .setId(1) + .setRoadStationId(12016) + .setName("ILMA") + .setSensorValue(0.0f) + .setSensorUnit("C") + .setMeasuredTime(Instant.parse("2020-12-02T20:00:00Z").toEpochMilli()).build()); + + processedInputTopic.pipeInput("12016", DigitrafficMessage.newBuilder() + .setId(1) + .setRoadStationId(12016) + .setName("ILMA") + .setSensorValue(1.0f) + .setSensorUnit("C") + .setMeasuredTime(Instant.parse("2020-12-02T20:59:00Z").toEpochMilli()).build()); + + // one more event to move the streaming time outside grace period (10 minutes) + processedInputTopic.pipeInput("12016", DigitrafficMessage.newBuilder() + .setId(1) + .setRoadStationId(12016) + .setName("ILMA") + .setSensorValue(2.0f) + .setSensorUnit("C") + .setMeasuredTime(Instant.parse("2020-12-02T21:11:00Z").toEpochMilli()).build()); + + assertThat(avgOutputTopic.readKeyValue(), equalTo(new KeyValue<>("12016", + DigitrafficAggregate.newBuilder() + .setId(1) + .setRoadStationId(12016) + .setName("ILMA") + .setSensorValue(0.5f) + .setMeasuredTime(Instant.parse("2020-12-02T21:00:00Z").toEpochMilli()).build()))); + + } + + +} diff --git a/solutions/iot/weather-stations/streamprocessing/src/test/java/io/aiven/streams/EnrichmentTests.java b/solutions/iot/weather-stations/streamprocessing/src/test/java/io/aiven/streams/EnrichmentTests.java new file mode 100644 index 0000000..480a27a --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/test/java/io/aiven/streams/EnrichmentTests.java @@ -0,0 +1,177 @@ +package io.aiven.streams; + +import java.io.File; +import java.io.IOException; +import java.nio.file.Path; +import java.nio.file.Paths; +import java.time.Instant; +import java.util.Collections; +import java.util.Map; +import java.util.Properties; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; + +import org.apache.avro.Schema; +import org.apache.avro.generic.GenericData; +import org.apache.avro.generic.GenericRecord; +import org.apache.kafka.common.serialization.Serde; +import org.apache.kafka.common.serialization.Serdes; +import org.apache.kafka.streams.KeyValue; +import org.apache.kafka.streams.StreamsConfig; +import org.apache.kafka.streams.TestInputTopic; +import org.apache.kafka.streams.TestOutputTopic; +import org.apache.kafka.streams.Topology; +import org.apache.kafka.streams.TopologyTestDriver; +import org.junit.jupiter.api.AfterEach; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.Test; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import org.springframework.kafka.support.serializer.JsonDeserializer; +import org.springframework.kafka.support.serializer.JsonSerde; +import org.springframework.kafka.support.serializer.JsonSerializer; + +import fi.saily.tmsdemo.DigitrafficMessage; +import io.confluent.kafka.schemaregistry.client.rest.exceptions.RestClientException; +import io.confluent.kafka.schemaregistry.testutil.MockSchemaRegistry; +import io.confluent.kafka.serializers.AbstractKafkaSchemaSerDeConfig; +import io.confluent.kafka.streams.serdes.avro.GenericAvroSerde; +import io.confluent.kafka.streams.serdes.avro.SpecificAvroSerde; + +import static org.hamcrest.CoreMatchers.equalTo; +import static org.hamcrest.MatcherAssert.assertThat; + +class EnrichmentTests { + + private Logger logger = LoggerFactory.getLogger(EnrichmentTests.class); + + private static final String SCHEMA_REGISTRY_SCOPE = EnrichmentTests.class.getName(); + private static final String MOCK_SCHEMA_REGISTRY_URL = "mock://" + SCHEMA_REGISTRY_SCOPE; + + protected TestInputTopic rawInputTopic; + protected TestOutputTopic processedOutputTopic; + protected TestInputTopic processedInputTopic; + protected TestInputTopic stationInputTopic; + protected TestOutputTopic enrichedOutputTopic; + + private TopologyTestDriver testDriver; + + @BeforeEach + public void setup() throws IOException, RestClientException { + + Properties config = new Properties(); + config.setProperty(StreamsConfig.APPLICATION_ID_CONFIG, "tms-test-enrichment"); + config.setProperty(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "foo:1234"); + config.setProperty(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName()); + config.setProperty(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, JsonSerde.class.getName()); + config.put(JsonSerializer.ADD_TYPE_INFO_HEADERS, true); + config.put(JsonDeserializer.TRUSTED_PACKAGES, "*"); + config.setProperty(JsonDeserializer.VALUE_DEFAULT_TYPE, JsonNode.class.getName()); + + Map schemaRegistryConfig = Collections + .singletonMap(AbstractKafkaSchemaSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, MOCK_SCHEMA_REGISTRY_URL); + + Serde stringSerde = Serdes.String(); + + SpecificAvroSerde digitrafficSerde = new SpecificAvroSerde<>(); + digitrafficSerde.configure(schemaRegistryConfig, false); + + Serde stationSerde = new GenericAvroSerde(); + stationSerde.configure(schemaRegistryConfig, false); + + Topology topology = EnrichmentTopology.kafkaStreamTopology(MOCK_SCHEMA_REGISTRY_URL); + logger.info(topology.describe().toString()); + testDriver = new TopologyTestDriver(topology, config); + + rawInputTopic = testDriver.createInputTopic( + "observations.weather.raw", + stringSerde.serializer(), + new JsonSerializer<>()); + + processedOutputTopic = testDriver.createOutputTopic( + "observations.weather.processed", + stringSerde.deserializer(), + digitrafficSerde.deserializer()); + + processedInputTopic = testDriver.createInputTopic( + "observations.weather.processed", + stringSerde.serializer(), + digitrafficSerde.serializer()); + + stationInputTopic = testDriver.createInputTopic( + "tms-demo-pg.public.weather_stations", + stringSerde.serializer(), + stationSerde.serializer()); + + enrichedOutputTopic = testDriver.createOutputTopic( + "observations.weather.municipality", + stringSerde.deserializer(), + digitrafficSerde.deserializer()); + } + + @AfterEach + void afterEach() { + testDriver.close(); + MockSchemaRegistry.dropScope(SCHEMA_REGISTRY_SCOPE); + } + + @Test + public void shouldEnrichMunicipality() throws IOException, RestClientException { + + Path resourceDirectory = Paths.get("src","test","resources"); + String absolutePath = resourceDirectory.toFile().getAbsolutePath() + "/station.avsc"; + + Schema schema = new Schema.Parser().parse(new File(absolutePath)); + GenericRecord record = new GenericData.Record(schema); + record.put("roadstationid", 12016); + record.put("name", "somename"); + record.put("municipality", "Kärsämäki"); + record.put("province", "Pohjois-Pohjanmaa"); + record.put("latitude", 64.006442); + record.put("longitude", 25.755648); + + stationInputTopic.pipeInput("12016", record); + + processedInputTopic.pipeInput("12016", DigitrafficMessage.newBuilder() + .setId(132) + .setRoadStationId(12016) + .setName("KUITUVASTE_SUURI_1") + .setSensorValue(0.0f) + .setSensorUnit("###") + .setMeasuredTime(Instant.parse("2020-12-02T20:42:00Z").toEpochMilli()).build()); + + assertThat(enrichedOutputTopic.readKeyValue(), equalTo(new KeyValue<>("12016", + DigitrafficMessage.newBuilder() + .setId(132) + .setRoadStationId(12016) + .setName("KUITUVASTE_SUURI_1") + .setSensorValue(0.0f) + .setSensorUnit("###") + .setMunicipality("Kärsämäki") + .setProvince("Pohjois-Pohjanmaa") + .setGeohash("ue6k4h") + .setMeasuredTime(Instant.parse("2020-12-02T20:42:00Z").toEpochMilli()).build()))); + + } + + @Test + public void shouldGenerateAvro() throws IOException, RestClientException { + ObjectMapper mapper = new ObjectMapper(); + JsonNode jsonObj = mapper.readTree("{\"id\": 132, \"roadStationId\": 12016, \"name\": \"KUITUVASTE_SUURI_1\", \"oldName\": " + + "\"fiberresponsebig1\", \"shortName\": \"KVaS1 \", \"sensorValue\": 0.0, \"sensorUnit\": \"###\", " + + "\"measuredTime\": \"2020-12-02T20:42:00Z\"}"); + rawInputTopic.pipeInput("12016", jsonObj); + + assertThat(processedOutputTopic.readKeyValue(), equalTo(new KeyValue<>("12016", + DigitrafficMessage.newBuilder() + .setId(132) + .setRoadStationId(12016) + .setName("KUITUVASTE_SUURI_1") + .setSensorValue(0.0f) + .setSensorUnit("###") + .setMeasuredTime(Instant.parse("2020-12-02T20:42:00Z").toEpochMilli()).build()))); + + } + +} diff --git a/solutions/iot/weather-stations/streamprocessing/src/test/resources/application.yml b/solutions/iot/weather-stations/streamprocessing/src/test/resources/application.yml new file mode 100644 index 0000000..df72a61 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/test/resources/application.yml @@ -0,0 +1,5 @@ +# With SSL configured +spring: + application: + name: tms-example-test + schema-registry: \ No newline at end of file diff --git a/solutions/iot/weather-stations/streamprocessing/src/test/resources/logback-test.xml b/solutions/iot/weather-stations/streamprocessing/src/test/resources/logback-test.xml new file mode 100644 index 0000000..048f108 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/test/resources/logback-test.xml @@ -0,0 +1,25 @@ + + + + + + + + %d{"yyyy-MM-dd'T'HH:mm:ss,SSSXXX", UTC} - %msg%n + + + + %d{"yyyy-MM-dd'T'HH:mm:ss,SSSXXX", UTC} %highlight(%-5level) [%blue(%t)] %yellow(%C{1.}): %msg%n%throwable + + + + + + + + + + + + + \ No newline at end of file diff --git a/solutions/iot/weather-stations/streamprocessing/src/test/resources/station.avsc b/solutions/iot/weather-stations/streamprocessing/src/test/resources/station.avsc new file mode 100644 index 0000000..5980ae4 --- /dev/null +++ b/solutions/iot/weather-stations/streamprocessing/src/test/resources/station.avsc @@ -0,0 +1,55 @@ +{ + "type": "record", + "name": "WeatherStation", + "namespace": "fi.saily", + "fields": [ + { + "name": "roadstationid", + "type": { + "type": "int", + "connect.type": "int16" + } + }, + { + "name": "name", + "type": [ + "null", + "string" + ], + "default": null + }, + { + "name": "municipality", + "type": [ + "null", + "string" + ], + "default": null + }, + { + "name": "province", + "type": [ + "null", + "string" + ], + "default": null + }, + { + "name": "latitude", + "type": [ + "null", + "double" + ], + "default": null + }, + { + "name": "longitude", + "type": [ + "null", + "double" + ], + "default": null + } + ], + "connect.name": "tms_demo_pg.public.weather_stations.Value" +} \ No newline at end of file

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