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Merge branch 'master' into master

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phylax2020 2022-07-19 18:36:14 +02:00 committed by GitHub
commit 5ea4160b4f
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2 changed files with 8 additions and 23 deletions
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26
cbpi/controller/log_file_controller.py
View file

@ -31,8 +31,8 @@ class LogController:
self.influxdb = self.cbpi.config.get("INFLUXDB", "No") self.influxdb = self.cbpi.config.get("INFLUXDB", "No")
if self.logfiles == "Yes": if self.logfiles == "Yes":
if name not in self.datalogger: if name not in self.datalogger:
max_bytes = int(self.cbpi.config.get("SENSOR_LOG_MAX_BYTES", 131072)) max_bytes = self.cbpi.config.get("SENSOR_LOG_MAX_BYTES", 1048576)
backup_count = int(self.cbpi.config.get("SENSOR_LOG_BACKUP_COUNT", 3)) backup_count = self.cbpi.config.get("SENSOR_LOG_BACKUP_COUNT", 3)
data_logger = logging.getLogger('cbpi.sensor.%s' % name) data_logger = logging.getLogger('cbpi.sensor.%s' % name)
data_logger.propagate = False data_logger.propagate = False
@ -42,7 +42,7 @@ class LogController:
self.datalogger[name] = data_logger self.datalogger[name] = data_logger
formatted_time = strftime("%Y-%m-%d %H:%M:%S", localtime()) formatted_time = strftime("%Y-%m-%d %H:%M:%S", localtime())
self.datalogger[name].info("%s,%s" % (formatted_time, str(value))) self.datalogger[name].info("%s,%s" % (formatted_time, value))
if self.influxdb == "Yes": if self.influxdb == "Yes":
self.influxdbcloud = self.cbpi.config.get("INFLUXDBCLOUD", "No") self.influxdbcloud = self.cbpi.config.get("INFLUXDBCLOUD", "No")
self.influxdbaddr = self.cbpi.config.get("INFLUXDBADDR", None) self.influxdbaddr = self.cbpi.config.get("INFLUXDBADDR", None)
@ -116,6 +116,7 @@ class LogController:
for name in names: for name in names:
# get all log names # get all log names
all_filenames = glob.glob('./logs/sensor_%s.log*' % name) all_filenames = glob.glob('./logs/sensor_%s.log*' % name)
# concat all logs # 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]) 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)) logging.info("Read all files for {}".format(names))
@ -124,29 +125,19 @@ class LogController:
df = df[name].resample(sample_rate).max() df = df[name].resample(sample_rate).max()
logging.info("Sampled now for {}".format(names)) logging.info("Sampled now for {}".format(names))
df = df.dropna() 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: if result is None:
result = df result = df
else: else:
result = pd.merge(result, df, how='outer', left_index=True, right_index=True) result = pd.merge(result, df, how='outer', left_index=True, right_index=True)
data = {"time": df.index.tolist()} data = {"time": df.index.tolist()}
if len(names) > 1: if len(names) > 1:
for name in names: for name in names:
data[name] = result[name].interpolate(limit_direction='both', limit=10).tolist() data[name] = result[name].interpolate(limit_direction='both', limit=10).tolist()
else: else:
data[name] = result.interpolate().tolist() data[name] = result.interpolate().tolist()
logging.info("Send Log for {}".format(names)) logging.info("Send Log for {}".format(names))
return data return data
async def get_data2(self, ids) -> dict: async def get_data2(self, ids) -> dict:
@ -155,12 +146,7 @@ class LogController:
result = dict() result = dict()
for id in ids: 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) 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()} result[id] = {"time": df.index.astype(str).tolist(), "value":df.Values.tolist()}
return result return result

5
cbpi/extension/ConfigUpdate/__init__.py
View file

@ -47,9 +47,8 @@ class ConfigUpdate(CBPiExtension):
influxdbcloud = self.cbpi.config.get("INFLUXDBCLOUD", None) influxdbcloud = self.cbpi.config.get("INFLUXDBCLOUD", None)
mqttupdate = self.cbpi.config.get("MQTTUpdate", None) mqttupdate = self.cbpi.config.get("MQTTUpdate", None)
PRESSURE_UNIT = self.cbpi.config.get("PRESSURE_UNIT", None) PRESSURE_UNIT = self.cbpi.config.get("PRESSURE_UNIT", None)
SENSOR_LOG_BACKUP_COUNT = self.cbpi.config.get("SENSOR_LOG_BACKUP_COUNT", None)
SENSOR_LOG_MAX_BYTES = self.cbpi.config.get("SENSOR_LOG_MAX_BYTES", None)
if boil_temp is None: if boil_temp is None:
logger.info("INIT Boil Temp Setting") logger.info("INIT Boil Temp Setting")
try: try: