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mudpitoinflux3.py
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167 lines (140 loc) · 4.3 KB
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#!/usr/bin/env python
# from __future__ import unicode_literals
import json
import re
import sys
import redis
import datetime
from influxdb import InfluxDBClient
import logging
LOG_LEVEL = logging.INFO
#LOG_LEVEL = logging.DEBUG
LOG_FILE = "/home/pi/influxMudpi"
LOG_FORMAT = "%(asctime)s %(levelname)s %(message)s"
logging.basicConfig(filename=LOG_FILE, format=LOG_FORMAT, level=LOG_LEVEL)
# influx configuration - edit these
ifuser = "grafana"
ifpass = "enteryourpassword"
ifdb = "home"
ifhost = "127.0.0.1"
ifport = 8086
# connect to influx
ifclient = InfluxDBClient(ifhost, ifport, ifuser, ifpass, ifdb)
# connect to redis
rediscon = "127.0.0.1"
logging.debug("Script Started")
logging.debug(sys.version)
# set redis
r = redis.Redis(rediscon)
# function to flatten JSON
def flatten_json(y):
out = {}
logging.debug("start flatten")
def flatten(x, name=''):
if type(x) is dict:
for a in x:
flatten(x[a], name + a + '_')
elif type(x) is list:
i = 0
for a in x:
flatten(a, name + str(i) + '_')
i += 1
else:
out[name[:-1]] = x
flatten(y)
return out
def process():
ps = r.pubsub()
# update relay as needed (this only supports 1 relay)
ps.subscribe('garden/relays/main_water_relay', 'sensors', 'state')
# ps.subscribe('sensors')
logging.debug("Subscribed to PubSub relay and sensors")
for raw_message in ps.listen():
logging.debug("Listen Loop")
logging.debug(raw_message["data"])
if raw_message["data"] in [1, 2, 3]:
continue
jmessage = json.loads(raw_message["data"])
event = jmessage["event"]
logging.debug(event)
if event == "PiSensorUpdate" or event == "SensorUpdate":
message = jmessage["data"]
logging.debug("Process")
logging.debug(message)
process_message_sensor(flatten_json(message))
elif (event == "StateChanged") or (event == "Switch"):
message = jmessage["data"]
logging.debug("Process")
logging.debug(message)
process_message_relay(event, message)
elif event == "StateUpdated": # mudpi 0.1
message = jmessage["new_state"]
logging.debug("Process - StateUpdated")
logging.debug(message)
process_message_state(flatten_json(message))
# Sensor Messages
def process_message_sensor(message):
logging.debug("Start process_message_sensor")
logging.debug(message)
time = datetime.datetime.utcnow()
for d in message:
body = [
{"measurement": d,
"time": time,
"tags": {
"sensorname": d
},
"fields": {
d: message[d]
}}
]
logging.debug("process_message")
logging.debug(body)
load_influx(body)
# Relay
def process_message_relay(event, message):
time = datetime.datetime.utcnow()
# print(message)
logging.debug("relayloop")
body = [
{"measurement": "relay_" + event.lower(),
"time": time,
"tags": {
"sensorname": "relay1"
},
"fields": {
"data": message
}}
]
logging.debug("process_message")
logging.debug(body)
load_influx(body)
# mudpi v0.10.0 new message format
def process_message_state(message):
logging.debug("Start process_message_state")
logging.debug(message)
time = datetime.datetime.utcnow()
for d in message:
# print(d);
if "state" in d:
body = [
{"measurement": message["component_id"] + d[5:],
"time": time,
"tags": {
"sensorname": message["component_id"] + d[5:],
"classifier": message["metadata_classifier"]
},
"fields": {
message["component_id"] + d[5:]: message[d]
}}
]
logging.debug(body)
load_influx(body)
logging.debug("End process_message_state")
# Send to Influx
def load_influx(body):
# write the measurement
ifclient.write_points(body)
logging.debug("SendToInflux")
if __name__ == "__main__":
process()