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March 25, 2022 06:52 pm GMT

Five Sensors Real-Time with Pulsar and Python on a Pi (FLiP-Py-Pi-BreakoutGarden)

FLiP-Pi-BreakoutGarden

FLiP-Py

The easy way to build Python streaming applications from the edge to cloud.

Code : https://github.com/tspannhw/FLiP-Pi-BreakoutGarden

Gear / Hardware

  • Raspberry Pi 3 Model B Rev 1.2, Bullseye Raspian, armv71
  • Pimoroni Breakout Garden Hat
  • 1.12" Mono OLED Breakout 128x128 White/Black Screen
  • BME680 Air Quality, Temperature, Pressure, Humidity Sensor
  • LWM303D 6D0F Motion Sensor (X, Y, Z Axes)
  • BH1745 Luminance and Color Sensor
  • LTR-559 Light and Proximity Sensor 0.01 lux to 64,000 lux
  • VL53L1X Time of Flight (TOF) Sensor

Device

Software / Libraries

  • Python 3.9
  • Pulsar Python Client 2.10 (avro) pip3 install pulsar-client[avro]
  • Python Breakout Garden
  • Python PSUTIL https://pypi.org/project/psutil/
  • Python LUMA OLED pip3 install --upgrade luma.oled
  • Libraries sudo apt-get install python3 python3-pip python3-pil libjpeg-dev zlib1g-dev libfreetype6-dev liblcms2-dev libopenjp2-7 libtiff5 -y

Architecture

StreamOps

bin/pulsar-admin topics create "persistent://public/default/pi-sensors"

Device Running

VL53L0X_GetDeviceInfo:Device Name : VL53L1 cut1.1Device Type : VL53L1Device ID : ProductRevisionMajor : 1ProductRevisionMinor : 15{'_required_default': False, '_default': None, '_required': False, 'uuid': 'snr_20220323200032', 'ipaddress': '192.168.1.229', 'cputempf': 99, 'runtime': 154, 'host': 'piups', 'hostname': 'piups', 'macaddress': 'b8:27:eb:4a:4b:61', 'endtime': '1648065632.645613', 'te': '154.00473523139954', 'cpu': 0.0, 'diskusage': '3895.3 MB', 'memory': 21.5, 'rowid': '20220323200032_6a66f9ea-1273-4e5d-b150-9300f6272482', 'systemtime': '03/23/2022 16:00:33', 'ts': 1648065633, 'starttime': '03/23/2022 15:57:58', 'BH1745_red': 112.2, 'BH1745_green': 82.0, 'BH1745_blue': 63.0, 'BH1745_clear': 110.0, 'VL53L1X_distance_in_mm': -1185.0, 'ltr559_lux': 6.65, 'ltr559_prox': 0.0, 'bme680_tempc': 23.6, 'bme680_tempf': 74.48, 'bme680_pressure': 1017.48, 'bme680_humidity': 33.931, 'lsm303d_accelerometer': '-00.08g : -01.00g : +00.01g', 'lsm303d_magnetometer': '+00.06 : +00.30 : +00.07'}VL53L1X Start Ranging Address 0x29

Consumer

bin/pulsar-client consume "persistent://public/default/pi-sensors" -s "pisnsrgrdnrdr" -n 0

** SQL Consumers **

Pulsar SQL / Presto/Trino

desc pulsar."public/default"."pi-sensors"; Column | Type | Extra | Comment ------------------------+-----------+-------+----------------------------------------------------------------------------- uuid | varchar | | ["null","string"] ipaddress | varchar | | ["null","string"] cputempf | integer | | ["null","int"] runtime | integer | | ["null","int"] host | varchar | | ["null","string"] hostname | varchar | | ["null","string"] macaddress | varchar | | ["null","string"] endtime | varchar | | ["null","string"] te | varchar | | ["null","string"] cpu | real | | ["null","float"] diskusage | varchar | | ["null","string"] memory | real | | ["null","float"] rowid | varchar | | ["null","string"] systemtime | varchar | | ["null","string"] ts | integer | | ["null","int"] starttime | varchar | | ["null","string"] bh1745_red | real | | ["null","float"] bh1745_green | real | | ["null","float"] bh1745_blue | real | | ["null","float"] bh1745_clear | real | | ["null","float"] vl53l1x_distance_in_mm | real | | ["null","float"] ltr559_lux | real | | ["null","float"] ltr559_prox | real | | ["null","float"] bme680_tempc | real | | ["null","float"] bme680_tempf | real | | ["null","float"] bme680_pressure | real | | ["null","float"] bme680_humidity | real | | ["null","float"] lsm303d_accelerometer | varchar | | ["null","string"] lsm303d_magnetometer | varchar | | ["null","string"] __partition__ | integer | | The partition number which the message belongs to __event_time__ | timestamp | | Application defined timestamp in milliseconds of when the event occurred __publish_time__ | timestamp | | The timestamp in milliseconds of when event as published __message_id__ | varchar | | The message ID of the message used to generate this row __sequence_id__ | bigint | | The sequence ID of the message used to generate this row __producer_name__ | varchar | | The name of the producer that publish the message used to generate this row __key__ | varchar | | The partition key for the topic __properties__ | varchar | | User defined properties (37 rows)presto> select * from pulsar."public/default"."pi-sensors"; uuid | ipaddress | cputempf | runtime | host | hostname | macaddress | endtime | te | cpu | disk--------------------+---------------+----------+---------+-------+----------+-------------------+--------------------+--------------------+-----+----- snr_20220323180318 | 192.168.1.229 | 99 | 4 | piups | piups | b8:27:eb:4a:4b:61 | 1648058598.8543017 | 4.47935152053833 | 0.2 | 3895 snr_20220323180324 | 192.168.1.229 | 99 | 10 | piups | piups | b8:27:eb:4a:4b:61 | 1648058604.4054732 | 10.03052306175232 | 0.0 | 3895 snr_20220323180329 | 192.168.1.229 | 99 | 16 | piups | piups | b8:27:eb:4a:4b:61 | 1648058609.8929565 | 15.518006324768066 | 6.5 | 3895 snr_20220323180335 | 192.168.1.229 | 99 | 21 | piups | piups | b8:27:eb:4a:4b:61 | 1648058615.3783045 | 21.00335431098938 | 0.2 | 3895 snr_20220323180340 | 192.168.1.229 | 99 | 26 | piups | piups | b8:27:eb:4a:4b:61 | 1648058620.8675282 | 26.49257802963257 | 4.6 | 3895 snr_20220323180346 | 192.168.1.229 | 99 | 32 | piups | piups | b8:27:eb:4a:4b:61 | 1648058626.3639522 | 31.989001989364624 | 0.0 | 3895 snr_20220323180351 | 192.168.1.229 | 99 | 38 | piups | piups | b8:27:eb:4a:4b:61 | 1648058631.8793604 | 37.50441026687622 | 0.0 | 3895 snr_20220323180357 | 192.168.1.229 | 100 | 43 | piups | piups | b8:27:eb:4a:4b:61 | 1648058637.38347 | 43.008519887924194 | 0.0 | 3895 snr_20220323180402 | 192.168.1.229 | 99 | 49 | piups | piups | b8:27:eb:4a:4b:61 | 1648058642.8820572 | 48.50710701942444 | 0.0 | 3895 snr_20220323180408 | 192.168.1.229 | 99 | 54 | piups | piups | b8:27:eb:4a:4b:61 | 1648058648.3795574 | 54.00460720062256 | 6.2 | 3895 snr_20220323180413 | 192.168.1.229 | 99 | 59 | piups | piups | b8:27:eb:4a:4b:61 | 1648058653.8280468 | 59.45309662818909 | 0.0 | 3895 snr_20220323180419 | 192.168.1.229 | 99 | 65 | piups | piups | b8:27:eb:4a:4b:61 | 1648058659.3180714 | 64.94312119483948 | 4.9 | 3895 snr_20220323180424 | 192.168.1.229 | 99 | 70 | piups | piups | b8:27:eb:4a:4b:61 | 1648058664.8023574 | 70.42740726470947 | 0.0 | 3895 snr_20220323180430 | 192.168.1.229 | 99 | 76 | piups | piups | b8:27:eb:4a:4b:61 | 1648058670.286937 | 75.91198682785034 | 0.0 | 3895 snr_20220323180435 | 192.168.1.229 | 97 | 81 | piups | piups | b8:27:eb:4a:4b:61 | 1648058675.7804654 | 81.40551519393921 | 0.0 | 3895 snr_20220323180441 | 192.168.1.229 | 99 | 87 | piups | piups | b8:27:eb:4a:4b:61 | 1648058681.2751634 | 86.90021324157715 | 0.0 | 3895 snr_20220323180446 | 192.168.1.229 | 99 | 92 | piups | piups | b8:27:eb:4a:4b:61 | 1648058686.7713509 | 92.39640069007874 | 5.9 | 3895 snr_20220323180452 | 192.168.1.229 | 99 | 98 | piups | piups | b8:27:eb:4a:4b:61 | 1648058692.2672575 | 97.89230728149414 | 0.3 | 3895 snr_20220323180457 | 192.168.1.229 | 99 | 103 | piups | piups | b8:27:eb:4a:4b:61 | 1648058697.7704427 | 103.39549255371094 | 5.4 | 3895 snr_20220323180503 | 192.168.1.229 | 99 | 109 | piups | piups | b8:27:eb:4a:4b:61 | 1648058703.21333 | 108.83837985992432 | 0.3 | 3895 snr_20220323180508 | 192.168.1.229 | 99 | 114 | piups | piups | b8:27:eb:4a:4b:61 | 1648058708.6879904 | 114.31304025650024 | 0.0 | 3895 snr_20220323180514 | 192.168.1.229 | 99 | 120 | piups | piups | b8:27:eb:4a:4b:61 | 1648058714.1396198 | 119.76466965675354 | 0.3 | 3895 snr_20220323180519 | 192.168.1.229 | 99 | 125 | piups | piups | b8:27:eb:4a:4b:61 | 1648058719.6158638 | 125.24091362953186 | 0.0 | 3895 snr_20220323180525 | 192.168.1.229 | 100 | 131 | piups | piups | b8:27:eb:4a:4b:61 | 1648058725.0950723 | 130.72012209892273 | 6.5 | 3895 snr_20220323180530 | 192.168.1.229 | 99 | 136 | piups | piups | b8:27:eb:4a:4b:61 | 1648058730.57256 | 136.19760990142822 | 0.0 | 3895(25 rows)Query 20220323_184946_00003_p66fs, FINISHED, 1 node

PULSARSQL

PULSARSQL

PULSARSQL

Spark SQL

val dfPulsar = spark.readStream.format("pulsar").option("service.url", "pulsar://pulsar1:6650").option("admin.url", "http://pulsar1:8080").option("topic", "persistent://public/default/pi-sensors").load()scala> dfPulsar.printSchema()root |-- uuid: string (nullable = true) |-- ipaddress: string (nullable = true) |-- cputempf: integer (nullable = true) |-- runtime: integer (nullable = true) |-- host: string (nullable = true) |-- hostname: string (nullable = true) |-- macaddress: string (nullable = true) |-- endtime: string (nullable = true) |-- te: string (nullable = true) |-- cpu: float (nullable = true) |-- diskusage: string (nullable = true) |-- memory: float (nullable = true) |-- rowid: string (nullable = true) |-- systemtime: string (nullable = true) |-- ts: integer (nullable = true) |-- starttime: string (nullable = true) |-- BH1745_red: float (nullable = true) |-- BH1745_green: float (nullable = true) |-- BH1745_blue: float (nullable = true) |-- BH1745_clear: float (nullable = true) |-- VL53L1X_distance_in_mm: float (nullable = true) |-- ltr559_lux: float (nullable = true) |-- ltr559_prox: float (nullable = true) |-- bme680_tempc: float (nullable = true) |-- bme680_tempf: float (nullable = true) |-- bme680_pressure: float (nullable = true) |-- bme680_humidity: float (nullable = true) |-- lsm303d_accelerometer: string (nullable = true) |-- lsm303d_magnetometer: string (nullable = true) |-- __key: binary (nullable = true) |--__topic: string (nullable = true) |-- __messageId: binary (nullable = true) |--__publishTime: timestamp (nullable = true) |-- __eventTime: timestamp (nullable = true) |--__messageProperties: map (nullable = true) | |-- key: string | |-- value: string (valueContainsNull = true)## Example Queriesval pQuery = dfPulsar.selectExpr("*").writeStream.format("console").option("truncate", false).start()val pQuery = dfPulsar.selectExpr("CAST(__key AS STRING)", "CAST(uuid AS STRING)", "CAST(ipaddress AS STRING)", "CAST(cputempf AS STRING)", "CAST(host AS STRING)", "CAST(cpu AS STRING)", "CAST(diskusage AS STRING)", "CAST(memory AS STRING)", "CAST(systemtime AS STRING)", "CAST(BH1745_red AS STRING)", "CAST(BH1745_green AS STRING)", "CAST(BH1745_blue AS STRING)", "CAST(BH1745_clear AS STRING)", "CAST(VL53L1X_distance_in_mm AS STRING)", "CAST(ltr559_lux AS STRING)", "CAST(bme680_tempf AS STRING)", "CAST(bme680_pressure AS STRING)", "CAST(bme680_humidity AS STRING)") .as[(String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String)] .writeStream.format("csv") .option("truncate", "false") .option("header", true) .option("path", "/opt/demo/pisensordata") .option("checkpointLocation", "/tmp/checkpoint") .start()## You could do csv, parquet, json, orcpQuery.explain()pQuery.awaitTermination()pQuery.stop()// can be "orc", "json", "csv", etc.

SPARK SPARK SPARK SPARK SPARK SPARK

Example Spark ETL CSV Output

/opt/demo/pisensordata# cat part-00000-0425bfc8-5d25-4143-818c-bc7af5e1d82c-c000.csv__key,uuid,ipaddress,cputempf,host,cpu,diskusage,memory,systemtime,BH1745_red,BH1745_green,BH1745_blue,BH1745_clear,VL53L1X_distance_in_mm,ltr559_lux,bme680_tempf,bme680_pressure,bme680_humiditysnr_20220324215723,snr_20220324215723,192.168.1.229,95,piups,0.0,3887.5 MB,20.6,03/24/2022 17:57:24,134.2,99.0,75.6,130.0,15.0,6.09,70.66,1006.11,44.737

CSV

Flink SQL

CREATE CATALOG pulsar WITH ( 'type' = 'pulsar', 'service-url' = 'pulsar://pulsar1:6650', 'admin-url' = 'http://pulsar1:8080', 'format' = 'json');USE CATALOG pulsar;SHOW TABLES;describe `pi-sensors`;> +------------------------+--------+------+-----+--------+-----------+| name | type | null | key | extras | watermark |+------------------------+--------+------+-----+--------+-----------+| uuid | STRING | true | | | || ipaddress | STRING | true | | | || cputempf | INT | true | | | || runtime | INT | true | | | || host | STRING | true | | | || hostname | STRING | true | | | || macaddress | STRING | true | | | || endtime | STRING | true | | | || te | STRING | true | | | || cpu | FLOAT | true | | | || diskusage | STRING | true | | | || memory | FLOAT | true | | | || rowid | STRING | true | | | || systemtime | STRING | true | | | || ts | INT | true | | | || starttime | STRING | true | | | || BH1745_red | FLOAT | true | | | || BH1745_green | FLOAT | true | | | || BH1745_blue | FLOAT | true | | | || BH1745_clear | FLOAT | true | | | || VL53L1X_distance_in_mm | FLOAT | true | | | || ltr559_lux | FLOAT | true | | | || ltr559_prox | FLOAT | true | | | || bme680_tempc | FLOAT | true | | | || bme680_tempf | FLOAT | true | | | || bme680_pressure | FLOAT | true | | | || bme680_humidity | FLOAT | true | | | || lsm303d_accelerometer | STRING | true | | | || lsm303d_magnetometer | STRING | true | | | |+------------------------+--------+------+-----+--------+-----------+select max(bme680_pressure) as maxpressure, max(bme680_tempf) as maxtemp, max(ltr559_lux) as maxlux, avg(BH1745_red) as avgred, max(VL53L1X_distance_in_mm) as maxdistancefrom `pi-sensors`select * from `pi-sensors`;

FLINK FLINK FLINK FLINK

Apache NiFi - Pulsar Consumer. MongoDB Writer.

NIFI

NIFI

NIFI

NIFI

NIFI

NIFI

Data Store - MongoDB

mongo -u debezium -p dbz --authenticationDatabase admin pulsar1:27017/inventoryshow databasesdb.createCollection("pisensors")show collectionsdb.pisensors.find().pretty()db.pisensors.find().pretty(){ "_id" : ObjectId("623b812e5dae8913d42a93ee"), "uuid" : "snr_20220323194514", "ipaddress" : "192.168.1.229", "cputempf" : 100, "runtime" : 9, "host" : "piups", "hostname" : "piups", "macaddress" : "b8:27:eb:4a:4b:61", "endtime" : "1648064714.7820184", "te" : "9.371636629104614", "cpu" : 6.5, "diskusage" : "3895.4 MB", "memory" : 21.4, "rowid" : "20220323194514_c9ec900f-05c2-49c4-985f-ddd83e8b15c0", "systemtime" : "03/23/2022 15:45:15", "ts" : 1648064715, "starttime" : "03/23/2022 15:45:05", "BH1745_red" : 112.2, "BH1745_green" : 83, "BH1745_blue" : 64.8, "BH1745_clear" : 110, "VL53L1X_distance_in_mm" : 31, "ltr559_lux" : 6.65, "ltr559_prox" : 0, "bme680_tempc" : 23.47, "bme680_tempf" : 74.25, "bme680_pressure" : 1017.71, "bme680_humidity" : 34.432, "lsm303d_accelerometer" : "-00.08g : -01.01g : +00.01g", "lsm303d_magnetometer" : "+00.06 : +00.30 : +00.07"}

MongoData

Monitor Everything! Let me see what's going on!?!??!

GRAFANA

GRAFANA

GRAFANA

PULSARMAN

References


Original Link: https://dev.to/tspannhw/five-sensors-real-time-with-pulsar-and-python-on-a-pi-flip-py-pi-breakoutgarden-586k

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