delete log_file_controller.py. will be later restored

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phylax2020 2022-07-19 20:45:26 +02:00
parent 313f9d4b39
commit 752d9a27b6

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@ -1,224 +0,0 @@
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 = int(self.cbpi.config.get("SENSOR_LOG_MAX_BYTES", 100000))
backup_count = int(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.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])
df = df.resample('60s').max()
df = df.dropna()
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)