mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-11-14 02:58:16 +01:00
221 lines
8.5 KiB
Python
221 lines
8.5 KiB
Python
import datetime
|
|
import glob
|
|
import logging
|
|
import os
|
|
from logging.handlers import RotatingFileHandler
|
|
from time import strftime, localtime
|
|
import pandas as pd
|
|
import zipfile
|
|
import base64
|
|
import urllib3
|
|
from cbpi.api import *
|
|
from cbpi.api.config import ConfigType
|
|
from cbpi.api.base import CBPiBase
|
|
import asyncio
|
|
|
|
|
|
class LogController:
|
|
|
|
def __init__(self, cbpi):
|
|
'''
|
|
|
|
:param cbpi: craftbeerpi object
|
|
'''
|
|
self.cbpi = cbpi
|
|
self.logger = logging.getLogger(__name__)
|
|
self.configuration = False
|
|
self.datalogger = {}
|
|
|
|
def log_data(self, name: str, value: str) -> None:
|
|
self.logfiles = self.cbpi.config.get("CSVLOGFILES", "Yes")
|
|
self.influxdb = self.cbpi.config.get("INFLUXDB", "No")
|
|
if self.logfiles == "Yes":
|
|
if name not in self.datalogger:
|
|
max_bytes = self.cbpi.config.get("SENSOR_LOG_MAX_BYTES", 1048576)
|
|
backup_count = self.cbpi.config.get("SENSOR_LOG_BACKUP_COUNT", 3)
|
|
|
|
data_logger = logging.getLogger('cbpi.sensor.%s' % name)
|
|
data_logger.propagate = False
|
|
data_logger.setLevel(logging.DEBUG)
|
|
handler = RotatingFileHandler('./logs/sensor_%s.log' % name, maxBytes=max_bytes, backupCount=backup_count)
|
|
data_logger.addHandler(handler)
|
|
self.datalogger[name] = data_logger
|
|
|
|
formatted_time = strftime("%Y-%m-%d %H:%M:%S", localtime())
|
|
self.datalogger[name].info("%s,%s" % (formatted_time, str(value)))
|
|
if self.influxdb == "Yes":
|
|
self.influxdbcloud = self.cbpi.config.get("INFLUXDBCLOUD", "No")
|
|
self.influxdbaddr = self.cbpi.config.get("INFLUXDBADDR", None)
|
|
self.influxdbport = self.cbpi.config.get("INFLUXDBPORT", None)
|
|
self.influxdbname = self.cbpi.config.get("INFLUXDBNAME", None)
|
|
self.influxdbuser = self.cbpi.config.get("INFLUXDBUSER", None)
|
|
self.influxdbpwd = self.cbpi.config.get("INFLUXDBPWD", None)
|
|
|
|
id = name
|
|
try:
|
|
chars = {'ö':'oe','ä':'ae','ü':'ue','Ö':'Oe','Ä':'Ae','Ü':'Ue'}
|
|
sensor=self.cbpi.sensor.find_by_id(name)
|
|
if sensor is not None:
|
|
itemname=sensor.name.replace(" ", "_")
|
|
for char in chars:
|
|
itemname = itemname.replace(char,chars[char])
|
|
out="measurement,source=" + itemname + ",itemID=" + str(id) + " value="+str(value)
|
|
except Exception as e:
|
|
logging.error("InfluxDB ID Error: {}".format(e))
|
|
|
|
if self.influxdbcloud == "Yes":
|
|
self.influxdburl="https://" + self.influxdbaddr + "/api/v2/write?org=" + self.influxdbuser + "&bucket=" + self.influxdbname + "&precision=s"
|
|
try:
|
|
header = {'User-Agent': name, 'Authorization': "Token {}".format(self.influxdbpwd)}
|
|
http = urllib3.PoolManager()
|
|
req = http.request('POST',self.influxdburl, body=out, headers = header)
|
|
except Exception as e:
|
|
logging.error("InfluxDB cloud write Error: {}".format(e))
|
|
|
|
else:
|
|
self.base64string = base64.b64encode(('%s:%s' % (self.influxdbuser,self.influxdbpwd)).encode())
|
|
self.influxdburl='http://' + self.influxdbaddr + ':' + str(self.influxdbport) + '/write?db=' + self.influxdbname
|
|
try:
|
|
header = {'User-Agent': name, 'Content-Type': 'application/x-www-form-urlencoded','Authorization': 'Basic %s' % self.base64string.decode('utf-8')}
|
|
http = urllib3.PoolManager()
|
|
req = http.request('POST',self.influxdburl, body=out, headers = header)
|
|
except Exception as e:
|
|
logging.error("InfluxDB write Error: {}".format(e))
|
|
|
|
|
|
|
|
async def get_data(self, names, sample_rate='60s'):
|
|
logging.info("Start Log for {}".format(names))
|
|
'''
|
|
:param names: name as string or list of names as string
|
|
:param sample_rate: rate for resampling the data
|
|
:return:
|
|
'''
|
|
# make string to array
|
|
if isinstance(names, list) is False:
|
|
names = [names]
|
|
|
|
# remove duplicates
|
|
names = set(names)
|
|
|
|
|
|
result = None
|
|
|
|
def dateparse(time_in_secs):
|
|
'''
|
|
Internal helper for date parsing
|
|
:param time_in_secs:
|
|
:return:
|
|
'''
|
|
return datetime.datetime.strptime(time_in_secs, '%Y-%m-%d %H:%M:%S')
|
|
|
|
def datetime_to_str(o):
|
|
if isinstance(o, datetime.datetime):
|
|
return o.__str__()
|
|
|
|
for name in names:
|
|
# get all log names
|
|
all_filenames = glob.glob('./logs/sensor_%s.log*' % name)
|
|
# concat all logs
|
|
df = pd.concat([pd.read_csv(f, parse_dates=True, date_parser=dateparse, index_col='DateTime', names=['DateTime', name], header=None) for f in all_filenames])
|
|
logging.info("Read all files for {}".format(names))
|
|
# resample if rate provided
|
|
# if sample_rate is not None:
|
|
# df = df[name].resample(sample_rate).max()
|
|
# logging.info("Sampled now for {}".format(names))
|
|
df = df[name].dropna()
|
|
# take every nth row so that total number of rows does not exceed max_rows * 2
|
|
max_rows = 500
|
|
total_rows = df.shape[0]
|
|
if (total_rows > 0) and (total_rows > max_rows):
|
|
nth = int(total_rows/max_rows)
|
|
if nth > 1:
|
|
df = df.iloc[::nth]
|
|
|
|
if result is None:
|
|
result = df
|
|
else:
|
|
result = pd.merge(result, df, how='outer', left_index=True, right_index=True)
|
|
|
|
data = {"time": df.index.tolist()}
|
|
if len(names) > 1:
|
|
for name in names:
|
|
data[name] = result[name].interpolate(limit_direction='both', limit=10).tolist()
|
|
else:
|
|
data[name] = result.interpolate().tolist()
|
|
|
|
logging.info("Send Log for {}".format(names))
|
|
|
|
return data
|
|
|
|
async def get_data2(self, ids) -> dict:
|
|
def dateparse(time_in_secs):
|
|
return datetime.datetime.strptime(time_in_secs, '%Y-%m-%d %H:%M:%S')
|
|
|
|
result = dict()
|
|
for id in ids:
|
|
# df = pd.read_csv("./logs/sensor_%s.log" % id, parse_dates=True, date_parser=dateparse, index_col='DateTime', names=['DateTime',"Values"], header=None)
|
|
# concat all logs
|
|
all_filenames = glob.glob('./logs/sensor_%s.log*' % id)
|
|
df = pd.concat([pd.read_csv(f, parse_dates=True, date_parser=dateparse, index_col='DateTime', names=['DateTime', 'Values'], header=None) for f in all_filenames])
|
|
result[id] = {"time": df.index.astype(str).tolist(), "value":df.Values.tolist()}
|
|
return result
|
|
|
|
|
|
|
|
def get_logfile_names(self, name:str ) -> list:
|
|
'''
|
|
Get all log file names
|
|
:param name: log name as string. pattern /logs/sensor_%s.log*
|
|
:return: list of log file names
|
|
'''
|
|
|
|
return [os.path.basename(x) for x in glob.glob('./logs/sensor_%s.log*' % name)]
|
|
|
|
def clear_log(self, name:str ) -> str:
|
|
|
|
all_filenames = glob.glob('./logs/sensor_%s.log*' % name)
|
|
for f in all_filenames:
|
|
os.remove(f)
|
|
|
|
if name in self.datalogger:
|
|
del self.datalogger[name]
|
|
|
|
|
|
def get_all_zip_file_names(self, name: str) -> list:
|
|
|
|
'''
|
|
Return a list of all zip file names
|
|
:param name:
|
|
:return:
|
|
'''
|
|
|
|
return [os.path.basename(x) for x in glob.glob('./logs/*-sensor-%s.zip' % name)]
|
|
|
|
def clear_zip(self, name:str ) -> None:
|
|
"""
|
|
clear all zip files for a sensor
|
|
:param name: sensor name
|
|
:return: None
|
|
"""
|
|
|
|
all_filenames = glob.glob('./logs/*-sensor-%s.zip' % name)
|
|
for f in all_filenames:
|
|
os.remove(f)
|
|
|
|
def zip_log_data(self, name: str) -> str:
|
|
"""
|
|
:param name: sensor name
|
|
:return: zip_file_name
|
|
"""
|
|
|
|
formatted_time = strftime("%Y-%m-%d-%H_%M_%S", localtime())
|
|
file_name = './logs/%s-sensor-%s.zip' % (formatted_time, name)
|
|
zip = zipfile.ZipFile(file_name, 'w', zipfile.ZIP_DEFLATED)
|
|
all_filenames = glob.glob('./logs/sensor_%s.log*' % name)
|
|
for f in all_filenames:
|
|
zip.write(os.path.join(f))
|
|
zip.close()
|
|
return os.path.basename(file_name)
|
|
|
|
|