Commit efa82e9f authored by Vladislav Rykov's avatar Vladislav Rykov
Browse files

uwsgi and installation added

parent 28445f36
utc,timestamp,dht22_h_mkr,hih8121_t_mkr,tmp102_wis,dht22_h_wis,tmp36_1_esp,hih8121_h_wis,hih8121_t_esp,dht22_h_esp,sht85_h_esp,tmp36_0_esp,dht22_t_mkr,hih8121_h_mkr,sht85_h_mkr,sht85_t_wis,hih8121_t_wis,dht22_t_wis,sht85_t_mkr,hh10d_mkr,hih4030_esp,sht85_t_esp,hh10d_wis,tmp36_2_esp,hh10d_esp,dht22_t_esp,sht85_h_wis,hih8121_h_esp,
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1587042134,16/4/2020 15:2:14,57.1,21.73,22.19,52.0,21.81,53.74,22.06,53.7,59.4,22.28,21.3,54.69,56.19,21.71,21.95,9.3,21.78,50.41,50.55,21.79,51.06,21.51,40.27,22.0,56.51,55.18,
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1587044556,16/4/2020 15:42:36,0.0,0.0,22.31,51.8,21.92,54.55,22.12,53.5,NaN,22.41,0.0,0.0,0.0,21.81,21.96,9.4,0.0,0.0,NaN,NaN,52.43,21.57,40.08,22.1,57.0,55.82,
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1587045123,16/4/2020 15:52:3,58.4,21.89,22.38,52.1,21.98,54.08,22.16,53.7,59.54,22.49,21.5,54.96,56.64,21.85,22.13,9.4,21.84,50.21,51.1,21.82,51.9,21.64,40.23,22.1,57.02,55.7,
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1587108075,17/4/2020 9:21:15,69.5,20.43,20.94,NaN,20.73,64.24,20.8,62.7,NaN,21.14,20.1,64.97,64.95,20.58,20.69,NaN,20.59,60.11,NaN,NaN,61.27,20.52,50.58,21.0,65.7,66.0,
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1587110475,17/4/2020 10:1:15,69.7,20.57,21.06,NaN,20.84,64.46,20.92,63.9,NaN,21.27,20.2,66.37,66.2,20.7,20.82,NaN,20.76,60.04,NaN,NaN,61.41,20.63,50.32,21.2,65.89,66.39,
1587111075,17/4/2020 10:11:15,70.1,20.57,21.12,NaN,20.88,65.39,20.97,63.5,NaN,21.29,20.3,65.93,65.83,20.78,20.88,NaN,20.76,60.19,NaN,NaN,61.88,20.67,50.33,21.2,66.73,67.27,
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1587114075,17/4/2020 11:1:15,70.3,20.62,21.12,NaN,20.93,65.34,21.0,63.9,NaN,21.34,20.3,66.46,66.31,20.79,20.88,NaN,20.77,60.04,NaN,NaN,62.08,20.73,50.36,21.2,66.59,67.34,
1587114675,17/4/2020 11:11:15,70.2,20.63,21.12,NaN,20.93,64.53,20.98,64.3,NaN,21.34,20.3,66.85,66.61,20.75,20.87,NaN,20.81,60.27,NaN,NaN,61.85,20.73,50.31,21.2,66.0,66.24,
1587115275,17/4/2020 11:21:15,70.5,20.62,21.12,NaN,20.93,64.46,20.97,63.3,NaN,21.34,20.3,65.76,65.73,20.75,20.87,NaN,20.79,60.27,NaN,NaN,61.77,20.73,49.75,21.2,65.94,66.15,
1587115875,17/4/2020 11:31:15,69.4,20.61,21.12,NaN,20.93,64.41,20.98,63.3,NaN,21.34,20.3,65.78,65.78,20.75,20.87,NaN,20.76,60.11,NaN,NaN,61.42,20.73,50.32,21.2,65.91,66.1,
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1587117075,17/4/2020 11:51:15,69.4,20.61,21.12,NaN,20.93,64.61,20.97,63.0,NaN,21.34,20.3,65.24,65.33,20.76,20.87,NaN,20.73,60.19,NaN,NaN,62.08,20.73,50.21,21.2,66.15,66.46,
1587117675,17/4/2020 12:1:15,69.0,20.61,21.12,NaN,20.93,64.05,20.98,63.6,NaN,21.34,20.3,66.07,66.0,20.73,20.85,NaN,20.79,60.11,NaN,NaN,61.59,20.73,49.75,21.2,65.56,65.73,
1587118275,17/4/2020 12:11:15,69.8,20.59,21.12,NaN,20.93,65.02,20.98,63.0,NaN,21.34,20.3,65.29,65.28,20.76,20.87,NaN,20.76,60.07,NaN,NaN,62.04,20.73,50.11,21.2,66.36,66.98,
1587118875,17/4/2020 12:21:15,69.0,20.62,21.12,NaN,20.95,65.0,21.02,63.9,NaN,21.36,20.3,66.46,66.38,20.78,20.89,NaN,20.79,60.19,NaN,NaN,61.83,20.74,50.31,21.2,66.4,66.59,
1587119475,17/4/2020 12:31:15,70.2,20.65,21.19,NaN,20.95,65.0,21.02,63.7,NaN,21.36,20.4,66.12,65.98,20.8,20.94,NaN,20.83,60.04,NaN,NaN,61.95,20.76,50.26,21.2,66.32,66.95,
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1587124875,17/4/2020 14:1:15,70.2,20.59,21.06,NaN,20.93,65.58,20.97,64.3,NaN,21.34,20.4,66.61,66.7,20.68,20.82,NaN,20.73,60.27,NaN,NaN,61.75,20.71,50.7,21.2,67.03,67.27,
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1587157275,17/4/2020 23:1:15,67.6,20.59,21.19,NaN,20.93,62.75,21.0,61.5,NaN,21.36,20.3,63.9,63.99,20.78,20.89,NaN,20.73,60.04,NaN,NaN,59.69,20.76,50.52,21.2,64.26,64.56,
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1587178874,18/4/2020 5:1:14,64.0,20.03,20.44,55.1,20.33,59.46,20.42,58.5,NaN,20.76,19.8,60.68,61.0,20.01,20.2,7.5,20.15,56.97,NaN,NaN,55.1,20.11,40.72,20.6,61.36,60.87,
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1587181274,18/4/2020 5:41:14,64.1,19.96,20.38,55.0,20.27,59.46,20.39,58.5,NaN,20.71,19.7,60.7,61.1,20.01,20.17,7.4,20.06,56.2,NaN,NaN,55.76,20.05,40.54,20.5,61.44,60.92,
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1587182474,18/4/2020 6:1:14,64.0,19.96,20.38,54.9,20.24,59.43,20.37,58.4,NaN,20.67,19.7,60.58,60.96,19.97,20.14,7.4,20.08,57.54,NaN,NaN,55.05,20.03,40.39,20.5,61.34,60.97,
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1587186074,18/4/2020 7:1:14,65.1,19.93,20.38,56.0,20.26,60.58,20.38,59.5,NaN,20.67,19.7,61.82,62.08,20.01,20.19,7.5,20.04,56.58,NaN,NaN,56.18,20.05,44.74,20.5,62.37,62.24,
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1587189675,18/4/2020 8:1:15,65.7,19.94,20.38,NaN,20.26,61.09,20.35,60.0,NaN,20.69,19.7,62.29,62.45,20.01,20.17,NaN,20.06,59.73,NaN,NaN,55.24,20.05,46.38,20.5,62.8,62.61,
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1587192674,18/4/2020 8:51:14,66.0,19.93,20.38,NaN,20.26,61.43,20.37,60.3,NaN,20.67,19.7,62.61,62.76,20.0,20.17,NaN,20.05,60.19,NaN,NaN,58.23,20.03,47.97,20.5,63.11,62.9,
1587193274,18/4/2020 9:1:14,66.1,19.94,20.38,NaN,20.24,61.6,20.35,60.4,NaN,20.67,19.7,62.65,62.78,20.0,20.16,NaN,20.06,60.0,NaN,NaN,58.81,20.03,48.83,20.5,63.24,63.09,
1587193874,18/4/2020 9:11:14,66.2,19.96,20.44,NaN,20.26,61.65,20.38,60.5,NaN,20.67,19.7,62.73,62.79,20.04,20.2,NaN,20.06,60.23,NaN,NaN,59.16,20.05,48.76,20.5,63.28,63.22,
1587194474,18/4/2020 9:21:14,66.3,19.97,20.5,NaN,20.27,62.12,20.41,60.7,NaN,20.71,19.7,62.9,63.01,20.1,20.25,NaN,20.06,60.11,NaN,NaN,59.35,20.05,49.36,20.6,63.7,63.68,
1587195074,18/4/2020 9:31:14,66.4,20.03,20.5,NaN,20.31,62.14,20.45,61.1,NaN,20.73,19.7,63.29,63.42,20.14,20.29,NaN,20.13,60.04,NaN,NaN,59.41,20.11,49.68,20.6,63.76,63.73,
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1587196874,18/4/2020 10:1:14,67.3,20.18,20.75,NaN,20.46,62.97,20.54,61.7,NaN,20.89,19.8,64.05,63.97,20.41,20.48,NaN,20.33,60.35,NaN,NaN,59.37,20.27,50.32,20.7,64.34,64.8,
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1587198674,18/4/2020 10:31:14,69.0,20.41,21.0,NaN,20.69,64.63,20.77,63.5,NaN,21.1,20.1,65.78,65.4,20.66,20.72,NaN,20.62,60.27,NaN,NaN,61.53,20.48,49.75,21.0,65.8,66.41,
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1587200474,18/4/2020 11:1:14,69.8,20.59,21.12,NaN,20.86,63.92,20.87,64.2,NaN,21.27,20.3,66.49,66.01,20.68,20.8,NaN,20.84,60.27,NaN,NaN,60.32,20.65,50.08,21.2,65.4,65.78,
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1587337274,19/4/2020 25:1:14,74.0,20.79,21.31,52.6,21.16,69.2,21.16,67.6,NaN,21.57,20.6,70.57,69.72,20.91,21.03,8.3,20.94,67.15,NaN,NaN,64.51,20.93,50.97,21.4,70.1,71.15,
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1587339074,19/4/2020 25:31:14,74.3,20.74,21.25,52.7,21.12,69.3,21.14,67.7,NaN,21.55,20.5,70.76,69.83,20.87,21.0,8.3,20.91,67.15,NaN,NaN,64.88,20.91,49.64,21.4,70.2,71.3,
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1587340874,20/4/2020 2:1:14,74.1,20.73,21.25,52.7,21.1,69.1,21.12,67.5,NaN,21.51,20.5,70.47,69.56,20.84,20.98,8.3,20.91,67.68,NaN,NaN,64.08,20.89,51.08,21.3,70.04,71.03,
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1587344474,20/4/2020 3:1:14,73.9,20.7,21.19,52.2,21.06,68.98,21.08,67.4,NaN,21.48,20.4,70.35,69.45,20.79,20.92,8.2,20.84,68.26,NaN,NaN,64.12,20.84,50.98,21.3,69.93,70.86,
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1587348074,20/4/2020 4:1:14,73.5,20.62,21.12,51.9,20.99,68.61,21.02,67.0,NaN,21.42,20.4,70.05,69.23,20.76,20.88,8.2,20.79,64.89,NaN,NaN,63.63,20.8,51.39,21.2,69.62,70.61,
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1587351674,20/4/2020 5:1:14,73.3,20.58,21.06,51.8,20.97,68.34,20.96,66.8,NaN,21.36,20.4,69.83,69.03,20.7,20.82,8.2,20.76,63.3,NaN,NaN,63.58,20.76,48.1,21.2,69.36,70.27,
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1587353474,20/4/2020 5:31:14,73.1,20.55,21.06,51.5,20.93,68.32,20.94,66.7,NaN,21.36,20.3,69.74,68.96,20.68,20.8,8.1,20.7,64.01,NaN,NaN,63.05,20.73,50.27,21.2,69.29,70.22,
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1587355274,20/4/2020 6:1:14,73.2,20.54,21.0,51.4,20.91,68.03,20.93,66.6,NaN,21.33,20.3,69.59,68.7,20.66,20.79,8.1,20.74,63.56,NaN,NaN,63.24,20.71,50.27,21.1,69.08,69.91,
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1587358874,20/4/2020 7:1:14,72.6,20.48,20.94,NaN,20.86,67.68,20.86,66.2,NaN,21.27,20.3,68.98,68.21,20.6,20.69,NaN,20.67,62.78,NaN,NaN,62.8,20.63,50.27,21.1,68.72,69.47,
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1587361874,20/4/2020 7:51:14,72.4,20.52,21.0,53.0,20.86,71.81,20.9,67.9,NaN,21.29,20.2,70.83,69.8,20.65,20.78,8.1,20.69,68.63,NaN,NaN,66.22,20.67,54.9,21.1,72.38,73.86,
1587362474,20/4/2020 8:1:14,74.4,20.52,21.06,54.8,20.88,72.01,20.92,69.9,NaN,21.29,20.2,73.1,72.05,20.66,20.78,8.1,20.67,69.6,NaN,NaN,66.17,20.67,55.87,21.1,72.5,73.81,
1587363074,20/4/2020 8:11:14,76.7,20.54,21.06,55.0,20.88,72.32,20.93,70.1,NaN,21.31,20.3,73.18,71.99,20.7,20.8,8.1,20.71,69.45,NaN,NaN,68.87,20.65,59.57,21.2,73.03,74.37,
1587363674,20/4/2020 8:21:14,76.7,20.58,21.06,NaN,20.89,71.64,20.92,70.7,NaN,21.31,20.3,73.23,72.24,20.72,20.84,NaN,20.76,69.34,NaN,NaN,65.85,20.69,57.1,21.2,72.29,73.93,
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1587366074,20/4/2020 9:1:14,77.2,20.7,21.25,55.4,20.99,72.03,21.06,70.6,NaN,21.42,20.4,73.62,72.27,20.9,20.96,8.3,20.91,69.79,NaN,NaN,66.03,20.78,55.9,21.3,72.54,74.4,
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1587368474,20/4/2020 9:41:14,72.5,20.52,21.0,NaN,20.86,65.36,20.86,65.5,NaN,21.31,20.3,68.42,67.69,20.55,20.71,NaN,20.69,61.26,NaN,NaN,62.28,20.63,49.93,21.1,66.79,67.12,
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1587369674,20/4/2020 10:1:14,69.9,20.54,21.19,NaN,20.97,66.49,21.04,64.5,NaN,21.38,20.2,67.2,66.59,20.84,20.94,NaN,20.7,59.96,NaN,NaN,61.77,20.76,50.51,21.1,67.5,68.49,
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1587372074,20/4/2020 10:41:14,72.3,20.8,21.44,NaN,21.14,66.9,21.19,65.4,NaN,21.57,20.5,68.2,67.5,21.03,21.11,NaN,20.98,60.07,NaN,NaN,62.31,20.93,50.28,21.4,67.92,69.03,
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1587373274,20/4/2020 11:1:14,71.9,20.89,21.5,NaN,21.23,66.39,21.27,64.9,NaN,21.64,20.6,67.71,67.07,21.13,21.19,NaN,21.09,60.0,NaN,NaN,62.04,21.04,50.24,21.5,67.45,68.51,
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1587375074,20/4/2020 11:31:14,71.1,21.03,21.69,NaN,21.36,65.95,21.4,64.3,NaN,21.77,20.7,67.12,66.45,21.3,21.33,NaN,21.24,60.04,NaN,NaN,61.16,21.17,50.24,21.7,67.03,68.07,
1587375674,20/4/2020 11:41:14,70.5,21.08,21.69,NaN,21.4,64.53,21.43,64.7,NaN,21.81,20.8,67.42,66.71,21.33,21.37,NaN,21.31,60.27,NaN,NaN,59.98,21.21,49.93,21.7,65.65,66.46,
1587376274,20/4/2020 11:51:14,70.8,21.13,21.69,NaN,21.42,61.92,21.46,63.2,NaN,21.83,20.8,66.0,65.35,21.34,21.39,NaN,21.34,60.04,NaN,NaN,55.17,21.23,46.52,21.7,63.27,64.0,
1587376874,20/4/2020 12:1:14,69.3,21.14,21.75,NaN,21.46,60.55,21.47,61.0,NaN,21.85,20.9,63.61,63.16,21.36,21.41,NaN,21.35,60.15,NaN,NaN,54.91,21.25,40.65,21.8,62.11,62.61,
1587377474,20/4/2020 12:11:14,66.9,21.15,21.81,NaN,21.49,57.97,21.51,59.7,NaN,21.89,20.9,62.07,61.82,21.41,21.44,NaN,21.35,56.47,NaN,NaN,52.83,21.29,40.07,21.8,59.64,60.09,
1587378074,20/4/2020 12:21:14,65.3,21.19,21.81,NaN,21.49,58.09,21.52,57.2,NaN,21.91,20.9,59.63,59.83,21.4,21.44,NaN,21.38,51.01,NaN,NaN,52.74,21.31,40.36,21.8,59.86,59.85,
1587378674,20/4/2020 12:31:14,63.1,21.19,21.81,NaN,21.53,59.58,21.52,57.1,NaN,21.92,20.9,59.48,59.56,21.4,21.46,NaN,21.42,50.81,NaN,NaN,53.29,21.34,39.95,21.8,61.1,61.26,
......@@ -276,13 +276,15 @@ def data_csv():
fn = session['appkey']+ '_' +str(session['devid'])+ '.csv'
with open(app.config['DATA_DOWNLOAD_DIR']+'/'+fn, 'w') as f:
with open('app/'+app.config['DATA_DOWNLOAD_DIR']+'/'+fn, 'w+') as f:
f.write('utc,timestamp,')
for d in dumpd[1][0][2]:
f.write(d)
f.write(',')
f.write('\n')
for row in dumpd[1]:
f.write('{},{},'.format(row[0],row[1]))
for v in row[2]:
f.write(str(row[2][v]))
f.write(',')
......
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