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2021/3/3

pull/1/head
Caozhenhui 2021-03-03 16:04:49 +08:00
parent d719e95ab0
commit 25a96729ae
2 changed files with 28 additions and 30 deletions
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23
myems-api/excelexporters/shopfloorload.py
View File

@ -30,7 +30,6 @@ def export(report,
if report is None: if report is None:
return None return None
#################################################################################################################### ####################################################################################################################
# Step 2: Generate excel file from the report data # Step 2: Generate excel file from the report data
#################################################################################################################### ####################################################################################################################
@ -211,7 +210,7 @@ def generate_excel(report,
# table_data # table_data
for i, value in enumerate(category): for i, value in enumerate(category):
row = i*2 + 8 row = i * 2 + 8
ws['B' + str(row)].font = name_font ws['B' + str(row)].font = name_font
ws['B' + str(row)].alignment = c_c_alignment ws['B' + str(row)].alignment = c_c_alignment
ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + "/H )" ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + "/H )"
@ -358,14 +357,14 @@ def generate_excel(report,
# row_st == row_statistical analysis table # row_st == row_statistical analysis table
row_sat = 12 + 3 * ca_len row_sat = 12 + 3 * ca_len
ws['B' + str(row_sat+row_title)].font = title_font ws['B' + str(row_sat + row_title)].font = title_font
ws['B' + str(row_sat+row_title)] = name + ' 详细数据' ws['B' + str(row_sat + row_title)] = name + ' 详细数据'
# table_title # table_title
ws['B' + str(row_sat+1+row_title)].fill = table_fill ws['B' + str(row_sat + 1 + row_title)].fill = table_fill
ws['B' + str(row_sat+1+row_title)].font = name_font ws['B' + str(row_sat + 1 + row_title)].font = name_font
ws['B' + str(row_sat+1+row_title)].alignment = c_c_alignment ws['B' + str(row_sat + 1 + row_title)].alignment = c_c_alignment
ws['B' + str(row_sat+1+row_title)] = "日期时间" ws['B' + str(row_sat + 1 + row_title)] = "日期时间"
ws['B' + str(row_sat+1+row_title)].border = f_border ws['B' + str(row_sat + 1 + row_title)].border = f_border
for i in range(0, ca_len): for i in range(0, ca_len):
col_average = chr(ord('C') + i) col_average = chr(ord('C') + i)
@ -392,27 +391,25 @@ def generate_excel(report,
ws['B' + str(rows)].border = f_border ws['B' + str(rows)].border = f_border
for index in range(0, ca_len): for index in range(0, ca_len):
col_average = chr(ord('C') + index * 2) col_average = chr(ord('C') + index * 2)
col_maximum = chr(ord('C') + index * 2 + 1) col_maximum = chr(ord('C') + index * 2 + 1)
ws[col_average + str(rows)].font = name_font ws[col_average + str(rows)].font = name_font
ws[col_average + str(rows)].alignment = c_c_alignment ws[col_average + str(rows)].alignment = c_c_alignment
ws[col_average + str(rows)] = reporting_period_data['sub_averages'][index][i] \ ws[col_average + str(rows)] = reporting_period_data['sub_averages'][index][i] \
if reporting_period_data['sub_maximums'][index] is not None else '' if reporting_period_data['sub_maximums'][index] is not None else ''
ws[col_average + str(rows)].number_format = '0.00' ws[col_average + str(rows)].number_format = '0.00'
ws[col_average + str(rows)].border = f_border ws[col_average + str(rows)].border = f_border
ws[col_maximum + str(rows)].font = name_font ws[col_maximum + str(rows)].font = name_font
ws[col_maximum + str(rows)].alignment = c_c_alignment ws[col_maximum + str(rows)].alignment = c_c_alignment
ws[col_maximum + str(rows)] = reporting_period_data['sub_maximums'][index][i] \ ws[col_maximum + str(rows)] = reporting_period_data['sub_maximums'][index][i] \
if reporting_period_data['sub_maximums'][index] is not None else '' if reporting_period_data['sub_maximums'][index] is not None else ''
ws[col_maximum + str(rows)].number_format = '0.00' ws[col_maximum + str(rows)].number_format = '0.00'
ws[col_maximum + str(rows)].border = f_border ws[col_maximum + str(rows)].border = f_border
# LineChart # LineChart
for i in range(0, ca_len): for i in range(0, ca_len):
lc = LineChart() lc = LineChart()
lc.title = "报告期 最大负荷" lc.title = "报告期 最大负荷"
lc.style = 10 lc.style = 10

35
myems-api/reports/shopfloorload.py
View File

@ -7,6 +7,7 @@ from core import utilities
from decimal import Decimal from decimal import Decimal
import excelexporters.shopfloorload import excelexporters.shopfloorload
class Reporting: class Reporting:
@staticmethod @staticmethod
def __init__(): def __init__():
@ -66,7 +67,7 @@ class Reporting:
try: try:
base_start_datetime_utc = datetime.strptime(base_start_datetime_local, base_start_datetime_utc = datetime.strptime(base_start_datetime_local,
'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
timedelta(minutes=timezone_offset) timedelta(minutes=timezone_offset)
except ValueError: except ValueError:
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
description="API.INVALID_BASE_PERIOD_START_DATETIME") description="API.INVALID_BASE_PERIOD_START_DATETIME")
@ -77,7 +78,7 @@ class Reporting:
try: try:
base_end_datetime_utc = datetime.strptime(base_end_datetime_local, base_end_datetime_utc = datetime.strptime(base_end_datetime_local,
'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
timedelta(minutes=timezone_offset) timedelta(minutes=timezone_offset)
except ValueError: except ValueError:
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
description="API.INVALID_BASE_PERIOD_END_DATETIME") description="API.INVALID_BASE_PERIOD_END_DATETIME")
@ -95,7 +96,7 @@ class Reporting:
try: try:
reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local,
'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
timedelta(minutes=timezone_offset) timedelta(minutes=timezone_offset)
except ValueError: except ValueError:
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
description="API.INVALID_REPORTING_PERIOD_START_DATETIME") description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
@ -108,7 +109,7 @@ class Reporting:
try: try:
reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local,
'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
timedelta(minutes=timezone_offset) timedelta(minutes=timezone_offset)
except ValueError: except ValueError:
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
description="API.INVALID_REPORTING_PERIOD_END_DATETIME") description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
@ -278,10 +279,10 @@ class Reporting:
period_type) period_type)
base[energy_category_id]['factor'] = \ base[energy_category_id]['factor'] = \
(base[energy_category_id]['average'] / base[energy_category_id]['maximum'] (base[energy_category_id]['average'] / base[energy_category_id]['maximum']
if (base[energy_category_id]['average'] is not None and if (base[energy_category_id]['average'] is not None and
base[energy_category_id]['maximum'] is not None and base[energy_category_id]['maximum'] is not None and
base[energy_category_id]['maximum'] > Decimal(0.0)) base[energy_category_id]['maximum'] > Decimal(0.0))
else None) else None)
for row_shopfloor_periodically in rows_shopfloor_periodically: for row_shopfloor_periodically in rows_shopfloor_periodically:
current_datetime_local = row_shopfloor_periodically[0].replace(tzinfo=timezone.utc) + \ current_datetime_local = row_shopfloor_periodically[0].replace(tzinfo=timezone.utc) + \
@ -511,11 +512,11 @@ class Reporting:
result['reporting_period']['sub_maximums'].append(reporting[energy_category_id]['sub_maximums']) result['reporting_period']['sub_maximums'].append(reporting[energy_category_id]['sub_maximums'])
result['reporting_period']['averages'].append(reporting[energy_category_id]['average']) result['reporting_period']['averages'].append(reporting[energy_category_id]['average'])
result['reporting_period']['averages_per_unit_area'].append( result['reporting_period']['averages_per_unit_area'].append(
reporting[energy_category_id]['average'] / shopfloor['area'] reporting[energy_category_id]['average'] / shopfloor['area']
if reporting[energy_category_id]['average'] is not None and if reporting[energy_category_id]['average'] is not None and
shopfloor['area'] is not None and shopfloor['area'] is not None and
shopfloor['area'] > Decimal(0.0) shopfloor['area'] > Decimal(0.0)
else None) else None)
result['reporting_period']['averages_increment_rate'].append( result['reporting_period']['averages_increment_rate'].append(
(reporting[energy_category_id]['average'] - base[energy_category_id]['average']) / (reporting[energy_category_id]['average'] - base[energy_category_id]['average']) /
base[energy_category_id]['average'] if (base[energy_category_id]['average'] is not None and base[energy_category_id]['average'] if (base[energy_category_id]['average'] is not None and
@ -548,8 +549,8 @@ class Reporting:
# export result to Excel file and then encode the file to base64 string # export result to Excel file and then encode the file to base64 string
result['excel_bytes_base64'] = excelexporters.shopfloorload.export(result, result['excel_bytes_base64'] = excelexporters.shopfloorload.export(result,
shopfloor['name'], shopfloor['name'],
reporting_start_datetime_local, reporting_start_datetime_local,
reporting_end_datetime_local, reporting_end_datetime_local,
period_type) period_type)
resp.body = json.dumps(result) resp.body = json.dumps(result)