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Merge pull request #53 from phylax2020/master

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Missing string conversion of value in log_data function.
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Alexander Vollkopf 2022-07-10 17:16:43 +02:00 committed by GitHub
commit 82e2c1b61a
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1 changed files with 19 additions and 8 deletions
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27
cbpi/controller/log_file_controller.py
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@ -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, value)) self.datalogger[name].info("%s,%s" % (formatted_time, str(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)
@ -116,28 +116,36 @@ 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))
# resample if rate provided # resample if rate provided
if sample_rate is not None: # if sample_rate is not None:
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[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: 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:
@ -146,7 +154,10 @@ 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])
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