diff --git a/myems-api/excelexporters/combinedequipmentload.py b/myems-api/excelexporters/combinedequipmentload.py index f7908202..f9845590 100644 --- a/myems-api/excelexporters/combinedequipmentload.py +++ b/myems-api/excelexporters/combinedequipmentload.py @@ -113,12 +113,6 @@ def generate_excel(report, wrap_text=False, shrink_to_fit=False, indent=0) - # c_r_alignment = Alignment(vertical='bottom', - # horizontal='center', - # text_rotation=0, - # wrap_text=False, - # shrink_to_fit=False, - # indent=0) # Img img = Image("excelexporters/myems.png") @@ -262,9 +256,9 @@ def generate_excel(report, ######################################################## # Third: 详细数据 - # row_sat~ row_sat + 6*cal_len: line - # row_da: table title - # row_da + 1~: table_data + # analysis_end_row_number~ analysis_end_row_number + 6*cal_len: line + # detailed_start_row_number: table title + # detailed_start_row_number + 1~: table_data ######################################################## has_timestamps_flag = True if "timestamps" not in reporting_period_data.keys() or \ @@ -277,40 +271,37 @@ def generate_excel(report, names = reporting_period_data['names'] ca_len = len(names) time_len = len(timestamps) - # row_lines == the number of rows of lines - row_lines = 6 * ca_len - # row_sat == the number of rows of statistical analysis table - row_sat = 9 + 2 * ca_len - # row_da == the number of rows of Detailed data - row_da = row_sat + row_lines + 1 + line_charts_row_number = 6 * ca_len + analysis_end_row_number = 9 + 2 * ca_len + detailed_start_row_number = analysis_end_row_number + line_charts_row_number + 1 - ws['B' + str(row_da)].font = title_font - ws['B' + str(row_da)] = name + ' 详细数据' + ws['B' + str(detailed_start_row_number)].font = title_font + ws['B' + str(detailed_start_row_number)] = name + ' 详细数据' # table_title - ws['B' + str(row_da + 1)].fill = table_fill - ws['B' + str(row_da + 1)].font = name_font - ws['B' + str(row_da + 1)].alignment = c_c_alignment - ws['B' + str(row_da + 1)] = "日期时间" - ws['B' + str(row_da + 1)].border = f_border + ws['B' + str(detailed_start_row_number + 1)].fill = table_fill + ws['B' + str(detailed_start_row_number + 1)].font = name_font + ws['B' + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws['B' + str(detailed_start_row_number + 1)] = "日期时间" + ws['B' + str(detailed_start_row_number + 1)].border = f_border for i in range(0, ca_len): col_average = chr(ord('C') + 2 * i) col_maximum = chr(ord('D') + 2 * i) - ws[col_average + str(row_da + 1)].font = name_font - ws[col_average + str(row_da + 1)].alignment = c_c_alignment - ws[col_average + str(row_da + 1)] = names[i] + " 平均负荷(" + reporting_period_data['units'][ + ws[col_average + str(detailed_start_row_number + 1)].font = name_font + ws[col_average + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws[col_average + str(detailed_start_row_number + 1)] = names[i] + " 平均负荷(" + reporting_period_data['units'][ i] + "/H)" - ws[col_average + str(row_da + 1)].border = f_border + ws[col_average + str(detailed_start_row_number + 1)].border = f_border - ws[col_maximum + str(row_da + 1)].font = name_font - ws[col_maximum + str(row_da + 1)].alignment = c_c_alignment - ws[col_maximum + str(row_da + 1)] = names[i] + " 最大负荷(" + reporting_period_data['units'][ + ws[col_maximum + str(detailed_start_row_number + 1)].font = name_font + ws[col_maximum + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws[col_maximum + str(detailed_start_row_number + 1)] = names[i] + " 最大负荷(" + reporting_period_data['units'][ i] + "/H)" - ws[col_maximum + str(row_da + 1)].border = f_border + ws[col_maximum + str(detailed_start_row_number + 1)].border = f_border # table_date for i in range(0, time_len): - rows = i + row_da + 2 + rows = i + detailed_start_row_number + 2 ws['B' + str(rows)].font = name_font ws['B' + str(rows)].alignment = c_c_alignment @@ -335,32 +326,36 @@ def generate_excel(report, ws[col_maximum + str(rows)].number_format = '0.00' ws[col_maximum + str(rows)].border = f_border - # LineChart + ######################################################## + # third: LineChart + # LineChart requires data from the detailed data table in the Excel file + # so print the detailed data table first and then print LineChart + ######################################################## for i in range(0, ca_len): - lc = LineChart() - lc.title = "报告期 最大负荷" - lc.style = 10 - lc.x_axis.majorTickMark = 'in' - lc.y_axis.majorTickMark = 'in' - lc.smooth = True - lc.x_axis.crosses = 'min' - lc.height = 8.25 - lc.width = 24 - lc.dLbls = DataLabelList() - lc.dLbls.dLblPos = 't' - lc.dLbls.showVal = True - times = Reference(ws, min_col=2, min_row=row_da + 2, - max_row=row_da + 2 + time_len) - lc_data = Reference(ws, min_col=2 + 2 * (i+1), min_row=row_da + 1, - max_row=row_da + 1 + time_len) - lc.add_data(lc_data, titles_from_data=True) - lc.set_categories(times) - ser = lc.series[0] + line = LineChart() + line.title = "报告期 最大负荷 - " + names[i] + "(" + reporting_period_data['units'][i] + ")" + line.style = 10 + line.x_axis.majorTickMark = 'in' + line.y_axis.majorTickMark = 'in' + line.smooth = True + line.x_axis.crosses = 'min' + line.height = 8.25 + line.width = 24 + line.dLbls = DataLabelList() + line.dLbls.dLblPos = 't' + line.dLbls.showVal = True + times = Reference(ws, min_col=2, min_row=detailed_start_row_number + 2, + max_row=detailed_start_row_number + 2 + time_len) + line_data = Reference(ws, min_col=2 + 2 * (i + 1), min_row=detailed_start_row_number + 1, + max_row=detailed_start_row_number + 1 + time_len) + line.add_data(line_data, titles_from_data=True) + line.set_categories(times) + ser = line.series[0] ser.marker.symbol = "diamond" ser.marker.size = 5 chart_col = 'B' - chart_cell = str(row_sat + 6 * i) - ws.add_chart(lc, chart_col + chart_cell) + chart_cell = str(analysis_end_row_number + 6 * i) + ws.add_chart(line, chart_col + chart_cell) filename = str(uuid.uuid4()) + '.xlsx' wb.save(filename) diff --git a/myems-api/excelexporters/combinedequipmentstatistics.py b/myems-api/excelexporters/combinedequipmentstatistics.py new file mode 100644 index 00000000..cbef99ea --- /dev/null +++ b/myems-api/excelexporters/combinedequipmentstatistics.py @@ -0,0 +1,414 @@ +import base64 +import uuid +import os +from openpyxl.chart import ( + LineChart, + Reference, +) +from openpyxl.chart.label import DataLabelList +from openpyxl.styles import PatternFill, Border, Side, Alignment, Font +from openpyxl.drawing.image import Image +from openpyxl import Workbook + + +#################################################################################################################### +# PROCEDURES +# Step 1: Validate the report data +# Step 2: Generate excel file +# Step 3: Encode the excel file bytes to Base64 +#################################################################################################################### + + +def export(report, + name, + reporting_start_datetime_local, + reporting_end_datetime_local, + period_type): + #################################################################################################################### + # Step 1: Validate the report data + #################################################################################################################### + if report is None: + return None + print(report) + + #################################################################################################################### + # Step 2: Generate excel file from the report data + #################################################################################################################### + filename = generate_excel(report, + name, + reporting_start_datetime_local, + reporting_end_datetime_local, + period_type) + #################################################################################################################### + # Step 3: Encode the excel file to Base64 + #################################################################################################################### + try: + with open(filename, 'rb') as binary_file: + binary_file_data = binary_file.read() + except IOError as ex: + pass + + # Base64 encode the bytes + base64_encoded_data = base64.b64encode(binary_file_data) + # get the Base64 encoded data using human-readable characters. + base64_message = base64_encoded_data.decode('utf-8') + # delete the file from server + try: + os.remove(filename) + except NotImplementedError as ex: + pass + return base64_message + + +def generate_excel(report, + name, + reporting_start_datetime_local, + reporting_end_datetime_local, + period_type): + wb = Workbook() + ws = wb.active + + # Row height + ws.row_dimensions[1].height = 102 + + for i in range(2, 2000 + 1): + ws.row_dimensions[i].height = 42 + + # Col width + ws.column_dimensions['A'].width = 1.5 + ws.column_dimensions['B'].width = 25.0 + + for i in range(ord('C'), ord('L')): + ws.column_dimensions[chr(i)].width = 15.0 + + # Font + name_font = Font(name='Constantia', size=15, bold=True) + title_font = Font(name='宋体', size=15, bold=True) + # data_font = Font(name='Franklin Gothic Book', size=11) + + table_fill = PatternFill(fill_type='solid', fgColor='1F497D') + f_border = Border(left=Side(border_style='medium', color='00000000'), + right=Side(border_style='medium', color='00000000'), + bottom=Side(border_style='medium', color='00000000'), + top=Side(border_style='medium', color='00000000') + ) + b_border = Border( + bottom=Side(border_style='medium', color='00000000'), + ) + + b_c_alignment = Alignment(vertical='bottom', + horizontal='center', + text_rotation=0, + wrap_text=False, + shrink_to_fit=False, + indent=0) + c_c_alignment = Alignment(vertical='center', + horizontal='center', + text_rotation=0, + wrap_text=False, + shrink_to_fit=False, + indent=0) + b_r_alignment = Alignment(vertical='bottom', + horizontal='right', + text_rotation=0, + wrap_text=False, + shrink_to_fit=False, + indent=0) + + # Img + img = Image("excelexporters/myems.png") + # img = Image("myems.png") + img.width = img.width * 0.85 + img.height = img.height * 0.85 + ws.add_image(img, 'B1') + + # Title + ws['B3'].font = name_font + ws['B3'].alignment = b_r_alignment + ws['B3'] = 'Name:' + ws['C3'].border = b_border + ws['C3'].alignment = b_c_alignment + ws['C3'].font = name_font + ws['C3'] = name + + ws['D3'].font = name_font + ws['D3'].alignment = b_r_alignment + ws['D3'] = 'Period:' + ws['E3'].border = b_border + ws['E3'].alignment = b_c_alignment + ws['E3'].font = name_font + ws['E3'] = period_type + + ws['F3'].font = name_font + ws['F3'].alignment = b_r_alignment + ws['F3'] = 'Date:' + ws['G3'].border = b_border + ws['G3'].alignment = b_c_alignment + ws['G3'].font = name_font + ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local + ws.merge_cells("G3:H3") + + if "reporting_period" not in report.keys() or \ + "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: + filename = str(uuid.uuid4()) + '.xlsx' + wb.save(filename) + + return filename + ################################################# + # First: 统计分析 + # 6: title + # 7: table title + # 8~ca_len table_data + ################################################# + reporting_period_data = report['reporting_period'] + + has_energy_data_flag = True + + if "names" not in reporting_period_data.keys() or \ + reporting_period_data['names'] is None or \ + len(reporting_period_data['names']) == 0: + has_energy_data_flag = False + + filename = str(uuid.uuid4()) + '.xlsx' + wb.save(filename) + + return filename + + if has_energy_data_flag: + ws['B6'].font = title_font + ws['B6'] = name + ' 统计分析' + + category = reporting_period_data['names'] + + # table_title + ws['B7'].fill = table_fill + ws['B7'].font = title_font + ws['B7'].alignment = c_c_alignment + ws['B7'] = '报告期' + ws['B7'].border = f_border + + ws['C7'].font = title_font + ws['C7'].alignment = c_c_alignment + ws['C7'] = '算术平均数' + ws['C7'].border = f_border + + ws['D7'].font = title_font + ws['D7'].alignment = c_c_alignment + ws['D7'] = '中位数' + ws['D7'].border = f_border + + ws['E7'].font = title_font + ws['E7'].alignment = c_c_alignment + ws['E7'] = '最小值' + ws['E7'].border = f_border + + ws['F7'].font = title_font + ws['F7'].alignment = c_c_alignment + ws['F7'] = '最大值' + ws['F7'].border = f_border + + ws['G7'].font = title_font + ws['G7'].alignment = c_c_alignment + ws['G7'] = '样本标准差' + ws['G7'].border = f_border + + ws['H7'].font = title_font + ws['H7'].alignment = c_c_alignment + ws['H7'] = '样本方差' + ws['H7'].border = f_border + + # table_data + + for i, value in enumerate(category): + row = i * 2 + 8 + ws['B' + str(row)].font = name_font + ws['B' + str(row)].alignment = c_c_alignment + ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + " )" + ws['B' + str(row)].border = f_border + + ws['B' + str(row + 1)].font = name_font + ws['B' + str(row + 1)].alignment = c_c_alignment + ws['B' + str(row + 1)] = "环比" + ws['B' + str(row + 1)].border = f_border + + ws['C' + str(row)].font = name_font + ws['C' + str(row)].alignment = c_c_alignment + ws['C' + str(row)] = reporting_period_data['means'][i] \ + if reporting_period_data['means'][i] is not None else '' + ws['C' + str(row)].border = f_border + ws['C' + str(row)].number_format = '0.00' + + ws['C' + str(row + 1)].font = name_font + ws['C' + str(row + 1)].alignment = c_c_alignment + ws['C' + str(row + 1)] = str(round(reporting_period_data['means_increment_rate'][i] * 100, 2)) + "%" \ + if reporting_period_data['means_increment_rate'][i] is not None else '0.00%' + ws['C' + str(row + 1)].border = f_border + + ws['D' + str(row)].font = name_font + ws['D' + str(row)].alignment = c_c_alignment + ws['D' + str(row)] = reporting_period_data['medians'][i] \ + if reporting_period_data['medians'][i] is not None else '' + ws['D' + str(row)].border = f_border + ws['D' + str(row)].number_format = '0.00' + + ws['D' + str(row + 1)].font = name_font + ws['D' + str(row + 1)].alignment = c_c_alignment + ws['D' + str(row + 1)] = str(round(reporting_period_data['medians_increment_rate'][i] * 100, 2)) + "%" \ + if reporting_period_data['medians_increment_rate'][i] is not None else '0.00%' + ws['D' + str(row + 1)].border = f_border + + ws['E' + str(row)].font = name_font + ws['E' + str(row)].alignment = c_c_alignment + ws['E' + str(row)] = reporting_period_data['minimums'][i] \ + if reporting_period_data['minimums'][i] is not None else '' + ws['E' + str(row)].border = f_border + ws['E' + str(row)].number_format = '0.00' + + ws['E' + str(row + 1)].font = name_font + ws['E' + str(row + 1)].alignment = c_c_alignment + ws['E' + str(row + 1)] = str(round(reporting_period_data['minimums_increment_rate'][i] * 100, 2)) + "%" \ + if reporting_period_data['minimums_increment_rate'][i] is not None else '0.00%' + ws['E' + str(row + 1)].border = f_border + + ws['F' + str(row)].font = name_font + ws['F' + str(row)].alignment = c_c_alignment + ws['F' + str(row)] = reporting_period_data['maximums'][i] \ + if reporting_period_data['maximums'][i] is not None else '' + ws['F' + str(row)].border = f_border + ws['F' + str(row)].number_format = '0.00' + + ws['F' + str(row + 1)].font = name_font + ws['F' + str(row + 1)].alignment = c_c_alignment + ws['F' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \ + if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%' + ws['F' + str(row + 1)].border = f_border + + ws['G' + str(row)].font = name_font + ws['G' + str(row)].alignment = c_c_alignment + ws['G' + str(row)] = reporting_period_data['stdevs'][i] \ + if reporting_period_data['stdevs'][i] is not None else '' + ws['G' + str(row)].border = f_border + ws['G' + str(row)].number_format = '0.00' + + ws['G' + str(row + 1)].font = name_font + ws['G' + str(row + 1)].alignment = c_c_alignment + ws['G' + str(row + 1)] = str(round(reporting_period_data['stdevs_increment_rate'][i] * 100, 2)) + "%" \ + if reporting_period_data['stdevs_increment_rate'][i] is not None else '0.00%' + ws['G' + str(row + 1)].border = f_border + + ws['H' + str(row)].font = name_font + ws['H' + str(row)].alignment = c_c_alignment + ws['H' + str(row)] = reporting_period_data['variances'][i] \ + if reporting_period_data['variances'][i] is not None else '' + ws['H' + str(row)].border = f_border + ws['H' + str(row)].number_format = '0.00' + + ws['H' + str(row + 1)].font = name_font + ws['H' + str(row + 1)].alignment = c_c_alignment + ws['H' + str(row + 1)] = str(round(reporting_period_data['variances_increment_rate'][i] * 100, 2)) + "%" \ + if reporting_period_data['variances_increment_rate'][i] is not None else '0.00%' + ws['H' + str(row + 1)].border = f_border + + ######################################################## + # Second: 详细数据 + # analysis_end_row_number+1~ analysis_end_row_number+1+line_charts_row_number+: line + # detailed_start_row_number~ : the detailed data table + ######################################################## + has_timestamps_flag = True + if "timestamps" not in reporting_period_data.keys() or \ + reporting_period_data['timestamps'] is None or \ + len(reporting_period_data['timestamps']) == 0: + has_timestamps_flag = False + + if has_timestamps_flag: + timestamps = reporting_period_data['timestamps'][0] + values = reporting_period_data['values'] + names = reporting_period_data['names'] + ca_len = len(names) + time_len = len(timestamps) + # the detailed title + line_charts_row_number = 6 * ca_len + 1 + analysis_end_row_number = 9 + 2 * ca_len + detailed_start_row_number = analysis_end_row_number + line_charts_row_number + + ws['B' + str(detailed_start_row_number)].font = title_font + ws['B' + str(detailed_start_row_number)] = name + ' 详细数据' + # the detailed table_title + ws['B' + str(detailed_start_row_number + 1)].fill = table_fill + ws['B' + str(detailed_start_row_number + 1)].font = name_font + ws['B' + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws['B' + str(detailed_start_row_number + 1)] = "时间" + ws['B' + str(detailed_start_row_number + 1)].border = f_border + + for i in range(0, ca_len): + col = chr(ord('C') + i) + + ws[col + str(detailed_start_row_number + 1)].font = name_font + ws[col + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws[col + str(detailed_start_row_number + 1)] = names[i] + " - (" + reporting_period_data['units'][i] + ")" + ws[col + str(detailed_start_row_number + 1)].border = f_border + # the detailed table_date + for i in range(0, time_len): + rows = i + detailed_start_row_number + 2 + + ws['B' + str(rows)].font = name_font + ws['B' + str(rows)].alignment = c_c_alignment + ws['B' + str(rows)] = timestamps[i] + ws['B' + str(rows)].border = f_border + + for index in range(0, ca_len): + col = chr(ord('C') + index) + + ws[col + str(rows)].font = name_font + ws[col + str(rows)].alignment = c_c_alignment + ws[col + str(rows)] = values[index][i] + ws[col + str(rows)].number_format = '0.00' + ws[col + str(rows)].border = f_border + + # 小计 + row_subtotals = detailed_start_row_number + 2 + time_len + ws['B' + str(row_subtotals)].font = name_font + ws['B' + str(row_subtotals)].alignment = c_c_alignment + ws['B' + str(row_subtotals)] = "小计" + ws['B' + str(row_subtotals)].border = f_border + + for i in range(0, ca_len): + col = chr(ord('C') + i) + + ws[col + str(row_subtotals)].font = name_font + ws[col + str(row_subtotals)].alignment = c_c_alignment + ws[col + str(row_subtotals)] = reporting_period_data['subtotals'][i] + ws[col + str(row_subtotals)].border = f_border + ws[col + str(row_subtotals)].number_format = '0.00' + + ######################################################## + # third: LineChart + # LineChart requires data from the detailed data table in the Excel file + # so print the detailed data table first and then print LineChart + ######################################################## + for i in range(0, ca_len): + line = LineChart() + line.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")" + line.style = 10 + line.height = 8.40 # cm 1.05*8 1.05cm = 30 pt + line.width = 24 + line.x_axis.majorTickMark = 'in' + line.y_axis.majorTickMark = 'in' + line.dLbls = DataLabelList() + line.dLbls.dLblPos = 't' + line.dLbls.showVal = True + times = Reference(ws, min_col=2, min_row=detailed_start_row_number + 2, + max_row=detailed_start_row_number + 2 + time_len) + line_data = Reference(ws, min_col=3 + i, min_row=detailed_start_row_number + 1, + max_row=detailed_start_row_number + 1 + time_len) + line.add_data(line_data, titles_from_data=True) + line.set_categories(times) + ser = line.series[0] + ser.marker.symbol = "diamond" + ser.marker.size = 5 + ws.add_chart(line, 'B' + str(analysis_end_row_number + 6 * i)) + + filename = str(uuid.uuid4()) + '.xlsx' + wb.save(filename) + + return filename diff --git a/myems-api/excelexporters/equipmentstatistics.py b/myems-api/excelexporters/equipmentstatistics.py index cc42f20d..cbbd737e 100644 --- a/myems-api/excelexporters/equipmentstatistics.py +++ b/myems-api/excelexporters/equipmentstatistics.py @@ -5,6 +5,7 @@ from openpyxl.chart import ( LineChart, Reference, ) +from openpyxl.chart.label import DataLabelList from openpyxl.styles import PatternFill, Border, Side, Alignment, Font from openpyxl.drawing.image import Image from openpyxl import Workbook @@ -68,19 +69,16 @@ def generate_excel(report, ws = wb.active # Row height - ws.row_dimensions[1].height = 121 + ws.row_dimensions[1].height = 102 - for i in range(2, 37 + 1): - ws.row_dimensions[i].height = 30 - - for i in range(38, 90 + 1): - ws.row_dimensions[i].height = 30 + for i in range(2, 2000 + 1): + ws.row_dimensions[i].height = 42 # Col width ws.column_dimensions['A'].width = 1.5 - ws.column_dimensions['B'].width = 20.0 + ws.column_dimensions['B'].width = 25.0 - for i in range(ord('C'), ord('I')): + for i in range(ord('C'), ord('L')): ws.column_dimensions[chr(i)].width = 15.0 # Font @@ -116,12 +114,6 @@ def generate_excel(report, wrap_text=False, shrink_to_fit=False, indent=0) - # c_r_alignment = Alignment(vertical='bottom', - # horizontal='center', - # text_rotation=0, - # wrap_text=False, - # shrink_to_fit=False, - # indent=0) # Img img = Image("excelexporters/myems.png") @@ -317,11 +309,8 @@ def generate_excel(report, ######################################################## # Second: 详细数据 - # row_sat+1~ row_sat+1+row_lines+: line - # row_ddt~ : the detailed data table - # row_sat : the number of rows of the analysis table - # row_lines : the number of rows of all line charts - # row_ddt : The number of rows in which the detailed data table header resides + # a+1~ analysis_end_row_number+1+line_charts_row_number+: line + # detailed_start_row_number~ : the detailed data table ######################################################## has_timestamps_flag = True if "timestamps" not in reporting_period_data.keys() or \ @@ -336,29 +325,29 @@ def generate_excel(report, ca_len = len(names) time_len = len(timestamps) # the detailed title - row_lines = 9 * ca_len - row_sat = 7 + 2 * ca_len - row_ddt = row_sat + row_lines + 2 + line_charts_row_number = 6 * ca_len + 1 + analysis_end_row_number = 7 + 2 * ca_len + detailed_start_row_number = analysis_end_row_number + line_charts_row_number + 2 - ws['B' + str(row_ddt)].font = title_font - ws['B' + str(row_ddt)] = name + ' 详细数据' + ws['B' + str(detailed_start_row_number)].font = title_font + ws['B' + str(detailed_start_row_number)] = name + ' 详细数据' # the detailed table_title - ws['B' + str(row_ddt+1)].fill = table_fill - ws['B' + str(row_ddt+1)].font = name_font - ws['B' + str(row_ddt+1)].alignment = c_c_alignment - ws['B' + str(row_ddt+1)] = "时间" - ws['B' + str(row_ddt+1)].border = f_border + ws['B' + str(detailed_start_row_number + 1)].fill = table_fill + ws['B' + str(detailed_start_row_number + 1)].font = name_font + ws['B' + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws['B' + str(detailed_start_row_number + 1)] = "时间" + ws['B' + str(detailed_start_row_number + 1)].border = f_border for i in range(0, ca_len): col = chr(ord('C') + i) - ws[col + str(row_ddt+1)].font = name_font - ws[col + str(row_ddt+1)].alignment = c_c_alignment - ws[col + str(row_ddt+1)] = names[i] + " - (" + reporting_period_data['units'][i] + ")" - ws[col + str(row_ddt+1)].border = f_border + ws[col + str(detailed_start_row_number + 1)].font = name_font + ws[col + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws[col + str(detailed_start_row_number + 1)] = names[i] + " - (" + reporting_period_data['units'][i] + ")" + ws[col + str(detailed_start_row_number + 1)].border = f_border # the detailed table_date for i in range(0, time_len): - rows = i + row_ddt + 2 + rows = i + detailed_start_row_number + 2 ws['B' + str(rows)].font = name_font ws['B' + str(rows)].alignment = c_c_alignment @@ -375,7 +364,7 @@ def generate_excel(report, ws[col + str(rows)].border = f_border # 小计 - row_subtotals = row_ddt + 2 + time_len + row_subtotals = detailed_start_row_number + 2 + time_len ws['B' + str(row_subtotals)].font = name_font ws['B' + str(row_subtotals)].alignment = c_c_alignment ws['B' + str(row_subtotals)] = "小计" @@ -390,26 +379,32 @@ def generate_excel(report, ws[col + str(row_subtotals)].border = f_border ws[col + str(row_subtotals)].number_format = '0.00' - # LineChart + ######################################################## + # third: LineChart + # LineChart requires data from the detailed data table in the Excel file + # so print the detailed data table first and then print LineChart + ######################################################## for i in range(0, ca_len): - - lc = LineChart() - lc.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")" - lc.style = 10 - lc.height = 8.40 # cm 1.05*8 1.05cm = 30 pt - lc.width = 23.28 - lc.x_axis.majorTickMark = 'in' - lc.y_axis.majorTickMark = 'in' - times = Reference(ws, min_col=2, min_row=row_ddt + 2, - max_row=row_ddt + 2 + time_len) - lc_data = Reference(ws, min_col=3 + i, min_row=row_ddt + 1, - max_row=row_ddt + 1 + time_len) - lc.add_data(lc_data, titles_from_data=True) - lc.set_categories(times) - ser = lc.series[0] + line = LineChart() + line.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")" + line.style = 10 + line.height = 8.40 # cm 1.05*8 1.05cm = 30 pt + line.width = 24 + line.x_axis.majorTickMark = 'in' + line.y_axis.majorTickMark = 'in' + line.dLbls = DataLabelList() + line.dLbls.dLblPos = 't' + line.dLbls.showVal = True + times = Reference(ws, min_col=2, min_row=detailed_start_row_number + 2, + max_row=detailed_start_row_number + 2 + time_len) + line_data = Reference(ws, min_col=3 + i, min_row=detailed_start_row_number + 1, + max_row=detailed_start_row_number + 1 + time_len) + line.add_data(line_data, titles_from_data=True) + line.set_categories(times) + ser = line.series[0] ser.marker.symbol = "diamond" ser.marker.size = 5 - ws.add_chart(lc, 'B' + str(row_sat + 2 + 9 * i)) + ws.add_chart(line, 'B' + str(analysis_end_row_number + 2 + 6 * i)) filename = str(uuid.uuid4()) + '.xlsx' wb.save(filename) diff --git a/myems-api/excelexporters/shopfloorload.py b/myems-api/excelexporters/shopfloorload.py index 9d8e5d23..8803bd30 100644 --- a/myems-api/excelexporters/shopfloorload.py +++ b/myems-api/excelexporters/shopfloorload.py @@ -113,12 +113,6 @@ def generate_excel(report, wrap_text=False, shrink_to_fit=False, indent=0) - # c_r_alignment = Alignment(vertical='bottom', - # horizontal='center', - # text_rotation=0, - # wrap_text=False, - # shrink_to_fit=False, - # indent=0) # Img img = Image("excelexporters/myems.png") @@ -264,40 +258,40 @@ def generate_excel(report, # Second: 报告期单位面积消耗 # 9 + ca_len * 2: title # 10 + ca_len * 2: table title - # row_title + 2 ~ row_title + 2 + ca_len : table_data + # per_unit_area_start_row_number + 2 ~ per_unit_area_start_row_number + 2 + ca_len : table_data ################################################# if has_energy_data_flag: names = reporting_period_data['names'] ca_len = len(names) - row_title = 9 + ca_len * 2 + per_unit_area_start_row_number = 9 + ca_len * 2 - ws['B' + str(row_title)].font = title_font - ws['B' + str(row_title)] = name + ' 单位面积值' + str(report['shopfloor']['area']) + 'M²' + ws['B' + str(per_unit_area_start_row_number)].font = title_font + ws['B' + str(per_unit_area_start_row_number)] = name + ' 单位面积值' + str(report['shopfloor']['area']) + 'M²' category = reporting_period_data['names'] # table_title - ws['B' + str(row_title + 1)].fill = table_fill - ws['B' + str(row_title + 1)].font = title_font - ws['B' + str(row_title + 1)].alignment = c_c_alignment - ws['B' + str(row_title + 1)] = '报告期' - ws['B' + str(row_title + 1)].border = f_border + ws['B' + str(per_unit_area_start_row_number + 1)].fill = table_fill + ws['B' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['B' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['B' + str(per_unit_area_start_row_number + 1)] = '报告期' + ws['B' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['C' + str(row_title + 1)].font = title_font - ws['C' + str(row_title + 1)].alignment = c_c_alignment - ws['C' + str(row_title + 1)] = '平均负荷' - ws['C' + str(row_title + 1)].border = f_border + ws['C' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['C' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['C' + str(per_unit_area_start_row_number + 1)] = '平均负荷' + ws['C' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['D' + str(row_title + 1)].font = title_font - ws['D' + str(row_title + 1)].alignment = c_c_alignment - ws['D' + str(row_title + 1)] = '最大负荷' - ws['D' + str(row_title + 1)].border = f_border + ws['D' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['D' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['D' + str(per_unit_area_start_row_number + 1)] = '最大负荷' + ws['D' + str(per_unit_area_start_row_number + 1)].border = f_border # table_data for i, value in enumerate(category): - row_data = row_title + 2 + i + row_data = per_unit_area_start_row_number + 2 + i ws['B' + str(row_data)].font = name_font ws['B' + str(row_data)].alignment = c_c_alignment ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][ @@ -322,9 +316,9 @@ def generate_excel(report, ######################################################## # Third: 详细数据 - # row_sat~ row_sat + 6*cal_len: line - # row_da: table title - # row_da + 1~: table_data + # analysis_end_row_number~ analysis_end_row_number + 6*cal_len: line + # detailed_start_row_number: table title + # detailed_start_row_number + 1~: table_data ######################################################## has_timestamps_flag = True if "timestamps" not in reporting_period_data.keys() or \ @@ -337,40 +331,37 @@ def generate_excel(report, names = reporting_period_data['names'] ca_len = len(names) time_len = len(timestamps) - # row_lines == the number of rows of lines - row_lines = 6 * ca_len - # row_sat == the number of rows of statistical analysis table - row_sat = 12 + 3 * ca_len - # row_da == the number of rows of Detailed data - row_da = row_sat + row_lines + 1 + line_charts_row_number = 6 * ca_len + analysis_end_row_number = 12 + 3 * ca_len + detailed_start_row_number = analysis_end_row_number + line_charts_row_number + 1 - ws['B' + str(row_da)].font = title_font - ws['B' + str(row_da)] = name + ' 详细数据' + ws['B' + str(detailed_start_row_number)].font = title_font + ws['B' + str(detailed_start_row_number)] = name + ' 详细数据' # table_title - ws['B' + str(row_da + 1)].fill = table_fill - ws['B' + str(row_da + 1)].font = name_font - ws['B' + str(row_da + 1)].alignment = c_c_alignment - ws['B' + str(row_da + 1)] = "日期时间" - ws['B' + str(row_da + 1)].border = f_border + ws['B' + str(detailed_start_row_number + 1)].fill = table_fill + ws['B' + str(detailed_start_row_number + 1)].font = name_font + ws['B' + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws['B' + str(detailed_start_row_number + 1)] = "日期时间" + ws['B' + str(detailed_start_row_number + 1)].border = f_border for i in range(0, ca_len): col_average = chr(ord('C') + 2 * i) col_maximum = chr(ord('D') + 2 * i) - ws[col_average + str(row_da + 1)].font = name_font - ws[col_average + str(row_da + 1)].alignment = c_c_alignment - ws[col_average + str(row_da + 1)] = names[i] + " 平均负荷(" + reporting_period_data['units'][ + ws[col_average + str(detailed_start_row_number + 1)].font = name_font + ws[col_average + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws[col_average + str(detailed_start_row_number + 1)] = names[i] + " 平均负荷(" + reporting_period_data['units'][ i] + "/H)" - ws[col_average + str(row_da + 1)].border = f_border + ws[col_average + str(detailed_start_row_number + 1)].border = f_border - ws[col_maximum + str(row_da + 1)].font = name_font - ws[col_maximum + str(row_da + 1)].alignment = c_c_alignment - ws[col_maximum + str(row_da + 1)] = names[i] + " 最大负荷(" + reporting_period_data['units'][ + ws[col_maximum + str(detailed_start_row_number + 1)].font = name_font + ws[col_maximum + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws[col_maximum + str(detailed_start_row_number + 1)] = names[i] + " 最大负荷(" + reporting_period_data['units'][ i] + "/H)" - ws[col_maximum + str(row_da + 1)].border = f_border + ws[col_maximum + str(detailed_start_row_number + 1)].border = f_border # table_date for i in range(0, time_len): - rows = i + row_da + 2 + rows = i + detailed_start_row_number + 2 ws['B' + str(rows)].font = name_font ws['B' + str(rows)].alignment = c_c_alignment @@ -395,32 +386,36 @@ def generate_excel(report, ws[col_maximum + str(rows)].number_format = '0.00' ws[col_maximum + str(rows)].border = f_border - # LineChart + ######################################################## + # third: LineChart + # LineChart requires data from the detailed data table in the Excel file + # so print the detailed data table first and then print LineChart + ######################################################## for i in range(0, ca_len): - lc = LineChart() - lc.title = "报告期 最大负荷" - lc.style = 10 - lc.x_axis.majorTickMark = 'in' - lc.y_axis.majorTickMark = 'in' - lc.smooth = True - lc.x_axis.crosses = 'min' - lc.height = 8.25 - lc.width = 24 - lc.dLbls = DataLabelList() - lc.dLbls.dLblPos = 't' - lc.dLbls.showVal = True - times = Reference(ws, min_col=2, min_row=row_da + 2, - max_row=row_da + 2 + time_len) - lc_data = Reference(ws, min_col=2 + 2 * (i+1), min_row=row_da + 1, - max_row=row_da + 1 + time_len) - lc.add_data(lc_data, titles_from_data=True) - lc.set_categories(times) - ser = lc.series[0] + line = LineChart() + line.title = "报告期 最大负荷 - " + names[i] + "(" + reporting_period_data['units'][i] + ")" + line.style = 10 + line.x_axis.majorTickMark = 'in' + line.y_axis.majorTickMark = 'in' + line.smooth = True + line.x_axis.crosses = 'min' + line.height = 8.25 + line.width = 24 + line.dLbls = DataLabelList() + line.dLbls.dLblPos = 't' + line.dLbls.showVal = True + times = Reference(ws, min_col=2, min_row=detailed_start_row_number + 2, + max_row=detailed_start_row_number + 2 + time_len) + line_data = Reference(ws, min_col=2 + 2 * (i + 1), min_row=detailed_start_row_number + 1, + max_row=detailed_start_row_number + 1 + time_len) + line.add_data(line_data, titles_from_data=True) + line.set_categories(times) + ser = line.series[0] ser.marker.symbol = "diamond" ser.marker.size = 5 chart_col = 'B' - chart_cell = str(row_sat + 6 * i) - ws.add_chart(lc, chart_col + chart_cell) + chart_cell = str(analysis_end_row_number + 6 * i) + ws.add_chart(line, chart_col + chart_cell) filename = str(uuid.uuid4()) + '.xlsx' wb.save(filename) diff --git a/myems-api/excelexporters/shopfloorstatistics.py b/myems-api/excelexporters/shopfloorstatistics.py index 13bba4e8..522505d3 100644 --- a/myems-api/excelexporters/shopfloorstatistics.py +++ b/myems-api/excelexporters/shopfloorstatistics.py @@ -5,6 +5,7 @@ from openpyxl.chart import ( LineChart, Reference, ) +from openpyxl.chart.label import DataLabelList from openpyxl.styles import PatternFill, Border, Side, Alignment, Font from openpyxl.drawing.image import Image from openpyxl import Workbook @@ -68,19 +69,16 @@ def generate_excel(report, ws = wb.active # Row height - ws.row_dimensions[1].height = 121 + ws.row_dimensions[1].height = 102 - for i in range(2, 37 + 1): - ws.row_dimensions[i].height = 30 - - for i in range(38, 90 + 1): - ws.row_dimensions[i].height = 30 + for i in range(2, 2000 + 1): + ws.row_dimensions[i].height = 42 # Col width ws.column_dimensions['A'].width = 1.5 - ws.column_dimensions['B'].width = 20.0 + ws.column_dimensions['B'].width = 25.0 - for i in range(ord('C'), ord('I')): + for i in range(ord('C'), ord('L')): ws.column_dimensions[chr(i)].width = 15.0 # Font @@ -116,12 +114,6 @@ def generate_excel(report, wrap_text=False, shrink_to_fit=False, indent=0) - # c_r_alignment = Alignment(vertical='bottom', - # horizontal='center', - # text_rotation=0, - # wrap_text=False, - # shrink_to_fit=False, - # indent=0) # Img img = Image("excelexporters/myems.png") @@ -318,63 +310,61 @@ def generate_excel(report, # Second: 报告期消耗 # 9 + ca_len * 2: title # 10 + ca_len * 2: table title - # row_title + 2 ~ row_title + 2 + ca_len : table_data + # per_unit_area_start_row_number + 2 ~ per_unit_area_start_row_number + 2 + ca_len : table_data ################################################# if has_energy_data_flag: names = reporting_period_data['names'] ca_len = len(names) - row_title = 9 + ca_len * 2 + per_unit_area_start_row_number = 9 + ca_len * 2 - ws['B' + str(row_title)].font = title_font - ws['B' + str(row_title)] = name + ' 单位面积值' - ws['D' + str(row_title)].font = title_font - ws['D' + str(row_title)] = str(report['shopfloor']['area']) + 'M²' + ws['B' + str(per_unit_area_start_row_number)].font = title_font + ws['B' + str(per_unit_area_start_row_number)] = name + ' 单位面积值' + str(report['shopfloor']['area']) + 'M²' category = reporting_period_data['names'] # table_title - ws['B' + str(row_title + 1)].fill = table_fill - ws['B' + str(row_title + 1)].font = title_font - ws['B' + str(row_title + 1)].alignment = c_c_alignment - ws['B' + str(row_title + 1)] = '报告期' - ws['B' + str(row_title + 1)].border = f_border + ws['B' + str(per_unit_area_start_row_number + 1)].fill = table_fill + ws['B' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['B' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['B' + str(per_unit_area_start_row_number + 1)] = '报告期' + ws['B' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['C' + str(row_title + 1)].font = title_font - ws['C' + str(row_title + 1)].alignment = c_c_alignment - ws['C' + str(row_title + 1)] = '算术平均数' - ws['C' + str(row_title + 1)].border = f_border + ws['C' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['C' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['C' + str(per_unit_area_start_row_number + 1)] = '算术平均数' + ws['C' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['D' + str(row_title + 1)].font = title_font - ws['D' + str(row_title + 1)].alignment = c_c_alignment - ws['D' + str(row_title + 1)] = '中位数' - ws['D' + str(row_title + 1)].border = f_border + ws['D' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['D' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['D' + str(per_unit_area_start_row_number + 1)] = '中位数' + ws['D' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['E' + str(row_title + 1)].font = title_font - ws['E' + str(row_title + 1)].alignment = c_c_alignment - ws['E' + str(row_title + 1)] = '最小值' - ws['E' + str(row_title + 1)].border = f_border + ws['E' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['E' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['E' + str(per_unit_area_start_row_number + 1)] = '最小值' + ws['E' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['F' + str(row_title + 1)].font = title_font - ws['F' + str(row_title + 1)].alignment = c_c_alignment - ws['F' + str(row_title + 1)] = '最大值' - ws['F' + str(row_title + 1)].border = f_border + ws['F' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['F' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['F' + str(per_unit_area_start_row_number + 1)] = '最大值' + ws['F' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['G' + str(row_title + 1)].font = title_font - ws['G' + str(row_title + 1)].alignment = c_c_alignment - ws['G' + str(row_title + 1)] = '样本标准差' - ws['G' + str(row_title + 1)].border = f_border + ws['G' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['G' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['G' + str(per_unit_area_start_row_number + 1)] = '样本标准差' + ws['G' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['H' + str(row_title + 1)].font = title_font - ws['H' + str(row_title + 1)].alignment = c_c_alignment - ws['H' + str(row_title + 1)] = '样本方差' - ws['H' + str(row_title + 1)].border = f_border + ws['H' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['H' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['H' + str(per_unit_area_start_row_number + 1)] = '样本方差' + ws['H' + str(per_unit_area_start_row_number + 1)].border = f_border # table_data for i, value in enumerate(category): - row_data = row_title + 2 + i + row_data = per_unit_area_start_row_number + 2 + i ws['B' + str(row_data)].font = name_font ws['B' + str(row_data)].alignment = c_c_alignment ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][ @@ -431,9 +421,9 @@ def generate_excel(report, ######################################################## # Third: 详细数据 - # row_sat+row_title~ row_sat+row_title+time_len: line - # row_sat+1+row_title: table title - # i + row_sat + 2 + 9 * ca_len~: table_data + # detailed_start_row_number~ detailed_start_row_number+time_len: line + # detailed_start_row_number+1: table title + # i + analysis_end_row_number + 2 + 6 * ca_len~: table_data ######################################################## has_timestamps_flag = True if "timestamps" not in reporting_period_data.keys() or \ @@ -448,29 +438,29 @@ def generate_excel(report, ca_len = len(names) time_len = len(timestamps) # title - row_title = 9 * ca_len - # row_st == row_statistical analysis table - row_sat = 12 + 3 * ca_len + line_charts_row_number = 6 * ca_len + analysis_end_row_number = 12 + 3 * ca_len + detailed_start_row_number = analysis_end_row_number + line_charts_row_number + 1 - 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(detailed_start_row_number)].font = title_font + ws['B' + str(detailed_start_row_number)] = name + ' 详细数据' # table_title - 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)].alignment = c_c_alignment - ws['B' + str(row_sat+1+row_title)] = "时间" - ws['B' + str(row_sat+1+row_title)].border = f_border + ws['B' + str(detailed_start_row_number+1)].fill = table_fill + ws['B' + str(detailed_start_row_number+1)].font = name_font + ws['B' + str(detailed_start_row_number+1)].alignment = c_c_alignment + ws['B' + str(detailed_start_row_number+1)] = "时间" + ws['B' + str(detailed_start_row_number+1)].border = f_border for i in range(0, ca_len): col = chr(ord('C') + i) - ws[col + str(row_sat+1+row_title)].font = name_font - ws[col + str(row_sat+1+row_title)].alignment = c_c_alignment - ws[col + str(row_sat+1+row_title)] = names[i] + " - (" + reporting_period_data['units'][i] + ")" - ws[col + str(row_sat+1+row_title)].border = f_border + ws[col + str(detailed_start_row_number+1)].font = name_font + ws[col + str(detailed_start_row_number+1)].alignment = c_c_alignment + ws[col + str(detailed_start_row_number+1)] = names[i] + " - (" + reporting_period_data['units'][i] + ")" + ws[col + str(detailed_start_row_number+1)].border = f_border # table_date for i in range(0, time_len): - rows = i + row_sat + 2 + 9 * ca_len + rows = i + detailed_start_row_number + 2 ws['B' + str(rows)].font = name_font ws['B' + str(rows)].alignment = c_c_alignment @@ -487,7 +477,7 @@ def generate_excel(report, ws[col + str(rows)].border = f_border # 小计 - row_subtotals = row_sat + 2 + time_len + 9 * ca_len + row_subtotals = detailed_start_row_number + 2 + time_len ws['B' + str(row_subtotals)].font = name_font ws['B' + str(row_subtotals)].alignment = c_c_alignment ws['B' + str(row_subtotals)] = "小计" @@ -502,26 +492,36 @@ def generate_excel(report, ws[col + str(row_subtotals)].border = f_border ws[col + str(row_subtotals)].number_format = '0.00' - # LineChart + ######################################################## + # third: LineChart + # LineChart requires data from the detailed data table in the Excel file + # so print the detailed data table first and then print LineChart + ######################################################## for i in range(0, ca_len): - lc = LineChart() - lc.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")" - lc.style = 10 - lc.height = 8.40 # cm 1.05*8 1.05cm = 30 pt - lc.width = 31 - lc.x_axis.majorTickMark = 'in' - lc.y_axis.majorTickMark = 'in' - times = Reference(ws, min_col=2, min_row=row_sat + 2 + row_title, - max_row=row_sat + 2 + row_title + time_len) - lc_data = Reference(ws, min_col=3 + i, min_row=row_sat + 1 + row_title, - max_row=row_sat + 1 + row_title + time_len) - lc.add_data(lc_data, titles_from_data=True) - lc.set_categories(times) - ser = lc.series[0] + line = LineChart() + line.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")" + line.style = 10 + line.x_axis.majorTickMark = 'in' + line.y_axis.majorTickMark = 'in' + line.smooth = True + line.x_axis.crosses = 'min' + line.height = 8.25 + line.width = 24 + line.dLbls = DataLabelList() + line.dLbls.dLblPos = 't' + line.dLbls.showVal = True + times = Reference(ws, min_col=2, min_row=detailed_start_row_number + 2, + max_row=detailed_start_row_number + 2 + time_len) + line_data = Reference(ws, min_col=3 + i, min_row=detailed_start_row_number + 1, + max_row=detailed_start_row_number + 1 + time_len) + line.add_data(line_data, titles_from_data=True) + line.set_categories(times) + ser = line.series[0] ser.marker.symbol = "diamond" - ser.marker.size = 5 - ws.add_chart(lc, 'B' + str(row_sat + 9 * i)) + chart_col = 'B' + chart_cell = str(analysis_end_row_number + 6 * i) + ws.add_chart(line, chart_col + chart_cell) filename = str(uuid.uuid4()) + '.xlsx' wb.save(filename) diff --git a/myems-api/excelexporters/spacestatistics.py b/myems-api/excelexporters/spacestatistics.py index 7798a3f7..3a47901f 100644 --- a/myems-api/excelexporters/spacestatistics.py +++ b/myems-api/excelexporters/spacestatistics.py @@ -5,6 +5,7 @@ from openpyxl.chart import ( LineChart, Reference, ) +from openpyxl.chart.label import DataLabelList from openpyxl.styles import PatternFill, Border, Side, Alignment, Font from openpyxl.drawing.image import Image from openpyxl import Workbook @@ -68,19 +69,16 @@ def generate_excel(report, ws = wb.active # Row height - ws.row_dimensions[1].height = 121 + ws.row_dimensions[1].height = 102 - for i in range(2, 37 + 1): - ws.row_dimensions[i].height = 30 - - for i in range(38, 90 + 1): - ws.row_dimensions[i].height = 30 + for i in range(2, 2000 + 1): + ws.row_dimensions[i].height = 42 # Col width ws.column_dimensions['A'].width = 1.5 - ws.column_dimensions['B'].width = 20.0 + ws.column_dimensions['B'].width = 25.0 - for i in range(ord('C'), ord('I')): + for i in range(ord('C'), ord('L')): ws.column_dimensions[chr(i)].width = 15.0 # Font @@ -116,12 +114,6 @@ def generate_excel(report, wrap_text=False, shrink_to_fit=False, indent=0) - # c_r_alignment = Alignment(vertical='bottom', - # horizontal='center', - # text_rotation=0, - # wrap_text=False, - # shrink_to_fit=False, - # indent=0) # Img img = Image("excelexporters/myems.png") @@ -320,63 +312,63 @@ def generate_excel(report, # Second: 报告期消耗 # 9 + ca_len * 2: title # 10 + ca_len * 2: table title - # row_title + 2 ~ row_title + 2 + ca_len : table_data + # per_unit_area_start_row_number + 2 ~ per_unit_area_start_row_number + 2 + ca_len : table_data ################################################# if has_energy_data_flag: names = reporting_period_data['names'] ca_len = len(names) - row_title = 9 + ca_len * 2 + per_unit_area_start_row_number = 9 + ca_len * 2 - ws['B' + str(row_title)].font = title_font - ws['B' + str(row_title)] = name + ' 单位面积值' - ws['D' + str(row_title)].font = title_font - ws['D' + str(row_title)] = str(report['space']['area']) + 'M²' + ws['B' + str(per_unit_area_start_row_number)].font = title_font + ws['B' + str(per_unit_area_start_row_number)] = name + ' 单位面积值' + ws['D' + str(per_unit_area_start_row_number)].font = title_font + ws['D' + str(per_unit_area_start_row_number)] = str(report['space']['area']) + 'M²' category = reporting_period_data['names'] # table_title - ws['B' + str(row_title + 1)].fill = table_fill - ws['B' + str(row_title + 1)].font = title_font - ws['B' + str(row_title + 1)].alignment = c_c_alignment - ws['B' + str(row_title + 1)] = '报告期' - ws['B' + str(row_title + 1)].border = f_border + ws['B' + str(per_unit_area_start_row_number + 1)].fill = table_fill + ws['B' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['B' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['B' + str(per_unit_area_start_row_number + 1)] = '报告期' + ws['B' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['C' + str(row_title + 1)].font = title_font - ws['C' + str(row_title + 1)].alignment = c_c_alignment - ws['C' + str(row_title + 1)] = '算术平均数' - ws['C' + str(row_title + 1)].border = f_border + ws['C' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['C' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['C' + str(per_unit_area_start_row_number + 1)] = '算术平均数' + ws['C' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['D' + str(row_title + 1)].font = title_font - ws['D' + str(row_title + 1)].alignment = c_c_alignment - ws['D' + str(row_title + 1)] = '中位数' - ws['D' + str(row_title + 1)].border = f_border + ws['D' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['D' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['D' + str(per_unit_area_start_row_number + 1)] = '中位数' + ws['D' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['E' + str(row_title + 1)].font = title_font - ws['E' + str(row_title + 1)].alignment = c_c_alignment - ws['E' + str(row_title + 1)] = '最小值' - ws['E' + str(row_title + 1)].border = f_border + ws['E' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['E' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['E' + str(per_unit_area_start_row_number + 1)] = '最小值' + ws['E' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['F' + str(row_title + 1)].font = title_font - ws['F' + str(row_title + 1)].alignment = c_c_alignment - ws['F' + str(row_title + 1)] = '最大值' - ws['F' + str(row_title + 1)].border = f_border + ws['F' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['F' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['F' + str(per_unit_area_start_row_number + 1)] = '最大值' + ws['F' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['G' + str(row_title + 1)].font = title_font - ws['G' + str(row_title + 1)].alignment = c_c_alignment - ws['G' + str(row_title + 1)] = '样本标准差' - ws['G' + str(row_title + 1)].border = f_border + ws['G' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['G' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['G' + str(per_unit_area_start_row_number + 1)] = '样本标准差' + ws['G' + str(per_unit_area_start_row_number + 1)].border = f_border - ws['H' + str(row_title + 1)].font = title_font - ws['H' + str(row_title + 1)].alignment = c_c_alignment - ws['H' + str(row_title + 1)] = '样本方差' - ws['H' + str(row_title + 1)].border = f_border + ws['H' + str(per_unit_area_start_row_number + 1)].font = title_font + ws['H' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment + ws['H' + str(per_unit_area_start_row_number + 1)] = '样本方差' + ws['H' + str(per_unit_area_start_row_number + 1)].border = f_border # table_data for i, value in enumerate(category): - row_data = row_title + 2 + i + row_data = per_unit_area_start_row_number + 2 + i ws['B' + str(row_data)].font = name_font ws['B' + str(row_data)].alignment = c_c_alignment ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][ @@ -433,9 +425,9 @@ def generate_excel(report, ######################################################## # Third: 详细数据 - # row_sat+row_title~ row_sat+row_title+time_len: line - # row_sat+1+row_title: table title - # i + row_sat + 2 + 10 * ca_len~: table_data + # analysis_end_row_number~ analysis_end_row_number+time_len: line + # analysis_end_row_number+1+line_charts_row_number: table title + # i + analysis_end_row_number + 2 + 10 * ca_len~: table_data ######################################################## has_timestamps_flag = True if "timestamps" not in reporting_period_data.keys() or \ @@ -450,29 +442,29 @@ def generate_excel(report, ca_len = len(names) time_len = len(timestamps) # title - row_title = 10 * ca_len - # row_st == row_statistical analysis table - row_sat = 12 + 3 * ca_len - - ws['B' + str(row_sat+row_title)].font = title_font - ws['B' + str(row_sat+row_title)] = name + ' 详细数据' + line_charts_row_number = 6 * ca_len + analysis_end_row_number = 12 + 3 * ca_len + detailed_start_row_number = analysis_end_row_number + line_charts_row_number + 1 + + ws['B' + str(detailed_start_row_number)].font = title_font + ws['B' + str(detailed_start_row_number)] = name + ' 详细数据' # table_title - 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)].alignment = c_c_alignment - ws['B' + str(row_sat+1+row_title)] = "时间" - ws['B' + str(row_sat+1+row_title)].border = f_border + ws['B' + str(detailed_start_row_number + 1)].fill = table_fill + ws['B' + str(detailed_start_row_number + 1)].font = name_font + ws['B' + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws['B' + str(detailed_start_row_number + 1)] = "时间" + ws['B' + str(detailed_start_row_number + 1)].border = f_border for i in range(0, ca_len): col = chr(ord('C') + i) - ws[col + str(row_sat+1+row_title)].font = name_font - ws[col + str(row_sat+1+row_title)].alignment = c_c_alignment - ws[col + str(row_sat+1+row_title)] = names[i] + " - (" + reporting_period_data['units'][i] + ")" - ws[col + str(row_sat+1+row_title)].border = f_border + ws[col + str(detailed_start_row_number + 1)].font = name_font + ws[col + str(detailed_start_row_number + 1)].alignment = c_c_alignment + ws[col + str(detailed_start_row_number + 1)] = names[i] + " - (" + reporting_period_data['units'][i] + ")" + ws[col + str(detailed_start_row_number + 1)].border = f_border # table_date for i in range(0, time_len): - rows = i + row_sat + 2 + 10 * ca_len + rows = i + detailed_start_row_number + 2 ws['B' + str(rows)].font = name_font ws['B' + str(rows)].alignment = c_c_alignment @@ -489,7 +481,7 @@ def generate_excel(report, ws[col + str(rows)].border = f_border # 小计 - row_subtotals = row_sat + 2 + time_len + 10 * ca_len + row_subtotals = detailed_start_row_number + 2 + time_len ws['B' + str(row_subtotals)].font = name_font ws['B' + str(row_subtotals)].alignment = c_c_alignment ws['B' + str(row_subtotals)] = "小计" @@ -504,26 +496,35 @@ def generate_excel(report, ws[col + str(row_subtotals)].border = f_border ws[col + str(row_subtotals)].number_format = '0.00' - # LineChart + ######################################################## + # third: LineChart + # LineChart requires data from the detailed data table in the Excel file + # so print the detailed data table first and then print LineChart + ######################################################## for i in range(0, ca_len): - lc = LineChart() - lc.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")" - lc.style = 10 - lc.height = 8.40 # cm 1.05*8 1.05cm = 30 pt - lc.width = 31 - lc.x_axis.majorTickMark = 'in' - lc.y_axis.majorTickMark = 'in' - times = Reference(ws, min_col=2, min_row=row_sat + 2 + row_title, - max_row=row_sat + 2 + row_title + time_len) - lc_data = Reference(ws, min_col=3 + i, min_row=row_sat + 1 + row_title, - max_row=row_sat + 1 + row_title + time_len) - lc.add_data(lc_data, titles_from_data=True) - lc.set_categories(times) - ser = lc.series[0] + line = LineChart() + line.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")" + line.style = 10 + line.x_axis.majorTickMark = 'in' + line.y_axis.majorTickMark = 'in' + line.smooth = True + line.x_axis.crosses = 'min' + line.height = 8.25 + line.width = 24 + line.dLbls = DataLabelList() + line.dLbls.dLblPos = 't' + line.dLbls.showVal = True + times = Reference(ws, min_col=2, min_row=detailed_start_row_number + 2, + max_row=detailed_start_row_number + 2 + time_len) + line_data = Reference(ws, min_col=3 + i, min_row=detailed_start_row_number + 1, + max_row=detailed_start_row_number + 1 + time_len) + line.add_data(line_data, titles_from_data=True) + line.set_categories(times) + ser = line.series[0] ser.marker.symbol = "diamond" ser.marker.size = 5 - ws.add_chart(lc, 'B' + str(row_sat + 10 * i)) + ws.add_chart(line, 'B' + str(analysis_end_row_number + 6 * i)) filename = str(uuid.uuid4()) + '.xlsx' wb.save(filename) diff --git a/myems-api/reports/combinedequipmentstatistics.py b/myems-api/reports/combinedequipmentstatistics.py index bc501981..c24ec5b1 100644 --- a/myems-api/reports/combinedequipmentstatistics.py +++ b/myems-api/reports/combinedequipmentstatistics.py @@ -5,6 +5,7 @@ import config from datetime import datetime, timedelta, timezone from core import utilities from decimal import Decimal +import excelexporters.combinedequipmentstatistics class Reporting: @@ -560,4 +561,11 @@ class Reporting: "values": parameters_data['values'] } + # export result to Excel file and then encode the file to base64 string + result['excel_bytes_base64'] = excelexporters.combinedequipmentstatistics.export(result, + combined_equipment['name'], + reporting_start_datetime_local, + reporting_end_datetime_local, + period_type) + resp.body = json.dumps(result)