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changed float datatype to Decimal datatype for offline meter normalization

pull/19/MERGE
13621160019@163.com 2021-03-15 19:07:49 +08:00
parent faecb1f670
commit 77ba4b9233
1 changed files with 10 additions and 9 deletions
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19
myems-normalization/offlinemeter.py
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@ -2,6 +2,7 @@ import time
from datetime import datetime, timedelta
import mysql.connector
from openpyxl import load_workbook
from decimal import Decimal
import config
################################################################################################################
@ -71,7 +72,7 @@ def calculate_hourly(logger):
# STEP 2: for each new files, dump file object to local file and then load workbook from the local file
################################################################################################################
for excel_file in excel_file_list:
print("read data from each offline meter file" + excel_file['name'])
print("read data from offline meter file" + excel_file['name'])
is_valid_file = True
fw = None
try:
@ -134,20 +135,20 @@ def calculate_hourly(logger):
elif col_num > 3:
# get date of the cell
try:
offline_datetime = datetime(year=ws['A2'].value,
month=ws['B2'].value,
day=col_num - 3)
start_datetime_local = datetime(year=ws['A2'].value,
month=ws['B2'].value,
day=col_num - 3)
except ValueError:
# invalid date and go to next cell in this row until reach max_col
continue
offline_datetime_utc = offline_datetime - timedelta(minutes=timezone_offset)
start_datetime_utc = start_datetime_local - timedelta(minutes=timezone_offset)
if cell.value is None:
# if the cell is empty then stop at that day
break
else:
offline_meter_data['data'][offline_datetime_utc] = cell.value
offline_meter_data['data'][start_datetime_utc] = Decimal(cell.value)
if len(offline_meter_data['data']) > 0:
print("offline_meter_data:" + str(offline_meter_data))
@ -224,10 +225,10 @@ def calculate_hourly(logger):
for energy_data_item in energy_data_list:
offline_meter_id = energy_data_item['offline_meter_id']
print(energy_data_item['data'].items())
for k, v in energy_data_item['data'].items():
start_datetime_utc = k
for start_datetime_utc, daily_value in energy_data_item['data'].items():
end_datetime_utc = start_datetime_utc + timedelta(hours=24)
actual_value = v / (24 * 60 / config.minutes_to_count)
actual_value = \
daily_value / (Decimal(24) * Decimal(60) / Decimal(config.minutes_to_count))
cursor.execute(" DELETE FROM tbl_offline_meter_hourly "
" WHERE offline_meter_id = %s "
" AND start_datetime_utc >= %s "