def parse_excel(report: SendReport):
if isinstance(report, IndividualSendReport):
elements1 = bl_ind.get_base_elements(CODE)
elements2 = bl_ind.get_base_elements(CODE_ADDITIONAL1)
n0 = OrderedDict()
n1 = OrderedDict()
for element in elements1:
if element['data_type'] == 'STRING':
n0[element['element_name']] = str
for element in elements2:
if element['data_type'] == 'STRING':
n1[element['element_name']] = str
file_data_0 = excel_data.get_excel_data(n0, CODE, "sheet_0", report)
file_data_1 = excel_data.get_excel_data(n1, CODE, "sheet_1", report)
df1 = pd.DataFrame(elements1)
df2 = pd.DataFrame(elements2)
main_datas = bl_ind.extract_data(file_data_0,
df1['element_name'].to_list())
additional_datas1 = bl_ind.extract_data(file_data_1,
df2['element_name'].to_list())
elif isinstance(report, EnterpriseSendReport):
elements1 = bl_ent.get_base_elements(CODE)
elements2 = bl_ent.get_base_elements(CODE_ADDITIONAL1)
n0 = OrderedDict()
n1 = OrderedDict()
for element in elements1:
if element['data_type'] == 'STRING':
n0[element['element_name']] = str
for element in elements2:
if element['data_type'] == 'STRING':
n1[element['element_name']] = str
file_data_0 = excel_data.get_excel_data(n0, CODE, "sheet_0", report)
file_data_1 = excel_data.get_excel_data(n1, CODE, "sheet_1", report)
df1 = pd.DataFrame(elements1)
df2 = pd.DataFrame(elements2)
main_datas = bl_ent.extract_data(file_data_0,
df1['element_name'].to_list())
additional_datas1 = bl_ent.extract_data(file_data_1,
df2['element_name'].to_list())
else:
logging.error('report type error:{0}'.format(report))
datas = build_master_agrmt(
main_datas, additional_datas1,
df1[df1['status'] == '0']['element_name'].to_list(),
df2[df2['status'] == '0']['element_name'].to_list())
report.jsonData = datas
def parse_excel(report: SendReport):
if isinstance(report, IndividualSendReport):
elements1 = bl_ind.get_base_elements(CODE)
elements2 = bl_ind.get_base_elements(CODE_ADDITIONAL1)
elements3 = bl_ind.get_base_elements(CODE_ADDITIONAL2)
elements4 = bl_ind.get_base_elements(CODE_ADDITIONAL3)
elements5 = bl_ind.get_base_elements(CODE_ADDITIONAL4)
elements6 = bl_ind.get_base_elements(CODE_ADDITIONAL5)
elements7 = bl_ind.get_base_elements(CODE_ADDITIONAL6)
elements8 = bl_ind.get_base_elements(CODE_ADDITIONAL7)
elements9 = bl_ind.get_base_elements(CODE_ADDITIONAL8)
n0 = OrderedDict()
n1 = OrderedDict()
n2 = OrderedDict()
n3 = OrderedDict()
n4 = OrderedDict()
n5 = OrderedDict()
n6 = OrderedDict()
n7 = OrderedDict()
n8 = OrderedDict()
for element in elements1:
if element['data_type'] == 'STRING':
n0[element['element_name']] = str
for element in elements2:
if element['data_type'] == 'STRING':
n1[element['element_name']] = str
for element in elements3:
if element['data_type'] == 'STRING':
n2[element['element_name']] = str
for element in elements4:
if element['data_type'] == 'STRING':
n3[element['element_name']] = str
for element in elements5:
if element['data_type'] == 'STRING':
n4[element['element_name']] = str
for element in elements6:
if element['data_type'] == 'STRING':
n5[element['element_name']] = str
for element in elements7:
if element['data_type'] == 'STRING':
n6[element['element_name']] = str
for element in elements8:
if element['data_type'] == 'STRING':
n7[element['element_name']] = str
for element in elements9:
if element['data_type'] == 'STRING':
n8[element['element_name']] = str
file_data_0 = excel_data.get_excel_data(n0, CODE, "sheet_0", report)
file_data_1 = excel_data.get_excel_data(n1, CODE, "sheet_1", report)
file_data_2 = excel_data.get_excel_data(n2, CODE, "sheet_2", report)
file_data_3 = excel_data.get_excel_data(n3, CODE, "sheet_3", report)
file_data_4 = excel_data.get_excel_data(n4, CODE, "sheet_4", report)
file_data_5 = excel_data.get_excel_data(n5, CODE, "sheet_5", report)
file_data_6 = excel_data.get_excel_data(n6, CODE, "sheet_6", report)
file_data_7 = excel_data.get_excel_data(n7, CODE, "sheet_7", report)
file_data_8 = excel_data.get_excel_data(n8, CODE, "sheet_8", report)
df1 = pd.DataFrame(elements1)
df2 = pd.DataFrame(elements2)
df3 = pd.DataFrame(elements3)
df4 = pd.DataFrame(elements4)
df5 = pd.DataFrame(elements5)
df6 = pd.DataFrame(elements6)
df7 = pd.DataFrame(elements7)
df8 = pd.DataFrame(elements8)
df9 = pd.DataFrame(elements9)
main_datas = bl_ind.extract_data(file_data_0,
df1['element_name'].to_list())
additional_datas1 = bl_ind.extract_data(file_data_1,
df2['element_name'].to_list())
additional_datas2 = bl_ind.extract_data(file_data_2,
df3['element_name'].to_list())
additional_datas3 = bl_ind.extract_data(file_data_3,
df4['element_name'].to_list())
additional_datas4 = bl_ind.extract_data(file_data_4,
df5['element_name'].to_list())
additional_datas5 = bl_ind.extract_data(file_data_5,
df6['element_name'].to_list())
additional_datas6 = bl_ind.extract_data(file_data_6,
df7['element_name'].to_list())
additional_datas7 = bl_ind.extract_data(file_data_7,
df8['element_name'].to_list())
additional_datas8 = bl_ind.extract_data(file_data_8,
df9['element_name'].to_list())
elif isinstance(report, EnterpriseSendReport):
elements1 = bl_ent.get_base_elements(CODE)
elements2 = bl_ent.get_base_elements(CODE_ADDITIONAL1)
elements3 = bl_ent.get_base_elements(CODE_ADDITIONAL2)
elements4 = bl_ent.get_base_elements(CODE_ADDITIONAL3)
elements5 = bl_ent.get_base_elements(CODE_ADDITIONAL4)
elements6 = bl_ent.get_base_elements(CODE_ADDITIONAL5)
elements7 = bl_ent.get_base_elements(CODE_ADDITIONAL6)
elements8 = bl_ent.get_base_elements(CODE_ADDITIONAL7)
elements9 = bl_ent.get_base_elements(CODE_ADDITIONAL8)
n0 = OrderedDict()
n1 = OrderedDict()
n2 = OrderedDict()
n3 = OrderedDict()
n4 = OrderedDict()
n5 = OrderedDict()
n6 = OrderedDict()
n7 = OrderedDict()
n8 = OrderedDict()
for element in elements1:
if element['data_type'] == 'STRING':
n0[element['element_name']] = str
for element in elements2:
if element['data_type'] == 'STRING':
n1[element['element_name']] = str
for element in elements3:
if element['data_type'] == 'STRING':
n2[element['element_name']] = str
for element in elements4:
if element['data_type'] == 'STRING':
n3[element['element_name']] = str
for element in elements5:
if element['data_type'] == 'STRING':
n4[element['element_name']] = str
for element in elements6:
if element['data_type'] == 'STRING':
n5[element['element_name']] = str
for element in elements7:
if element['data_type'] == 'STRING':
n6[element['element_name']] = str
for element in elements8:
if element['data_type'] == 'STRING':
n7[element['element_name']] = str
for element in elements9:
if element['data_type'] == 'STRING':
n8[element['element_name']] = str
file_data_0 = excel_data.get_excel_data(n0, CODE, "sheet_0", report)
file_data_1 = excel_data.get_excel_data(n1, CODE, "sheet_1", report)
file_data_2 = excel_data.get_excel_data(n2, CODE, "sheet_2", report)
file_data_3 = excel_data.get_excel_data(n3, CODE, "sheet_3", report)
file_data_4 = excel_data.get_excel_data(n4, CODE, "sheet_4", report)
file_data_5 = excel_data.get_excel_data(n5, CODE, "sheet_5", report)
file_data_6 = excel_data.get_excel_data(n6, CODE, "sheet_6", report)
file_data_7 = excel_data.get_excel_data(n7, CODE, "sheet_7", report)
file_data_8 = excel_data.get_excel_data(n8, CODE, "sheet_8", report)
df1 = pd.DataFrame(elements1)
df2 = pd.DataFrame(elements2)
df3 = pd.DataFrame(elements3)
df4 = pd.DataFrame(elements4)
df5 = pd.DataFrame(elements5)
df6 = pd.DataFrame(elements6)
df7 = pd.DataFrame(elements7)
df8 = pd.DataFrame(elements8)
df9 = pd.DataFrame(elements9)
main_datas = bl_ent.extract_data(file_data_0,
df1['element_name'].to_list())
additional_datas1 = bl_ent.extract_data(file_data_1,
df2['element_name'].to_list())
additional_datas2 = bl_ent.extract_data(file_data_2,
df3['element_name'].to_list())
additional_datas3 = bl_ent.extract_data(file_data_3,
df4['element_name'].to_list())
additional_datas4 = bl_ent.extract_data(file_data_4,
df5['element_name'].to_list())
additional_datas5 = bl_ent.extract_data(file_data_5,
df6['element_name'].to_list())
additional_datas6 = bl_ent.extract_data(file_data_6,
df7['element_name'].to_list())
additional_datas7 = bl_ent.extract_data(file_data_7,
df8['element_name'].to_list())
additional_datas8 = bl_ent.extract_data(file_data_8,
df9['element_name'].to_list())
else:
logging.error('report type error:{0}'.format(report))
datas = build_master_agrmt(
main_datas, additional_datas1, additional_datas2, additional_datas3,
additional_datas4, additional_datas5, additional_datas6,
additional_datas7, additional_datas8,
df1[df1['status'] == '0']['element_name'].to_list(),
df2[df2['status'] == '0']['element_name'].to_list(),
df3[df3['status'] == '0']['element_name'].to_list(),
df4[df4['status'] == '0']['element_name'].to_list(),
df5[df5['status'] == '0']['element_name'].to_list(),
df6[df6['status'] == '0']['element_name'].to_list(),
df7[df7['status'] == '0']['element_name'].to_list(),
df8[df8['status'] == '0']['element_name'].to_list(),
df9[df9['status'] == '0']['element_name'].to_list())
report.jsonData = datas
def parse_excel(report: SendReport):
if isinstance(report, IndividualSendReport):
elements1 = bl_ind.get_base_elements(CODE)
elements2 = bl_ind.get_base_elements(CODE_ADDITIONAL1)
elements3 = bl_ind.get_base_elements(CODE_ADDITIONAL2)
elements4 = bl_ind.get_base_elements(CODE_ADDITIONAL3)
elements5 = bl_ind.get_base_elements(CODE_ADDITIONAL4)
n0 = OrderedDict()
n1 = OrderedDict()
n2 = OrderedDict()
n3 = OrderedDict()
n4 = OrderedDict()
for element in elements1:
if element['data_type'] == 'STRING':
n0[element['element_name']] = str
for element in elements2:
if element['data_type'] == 'STRING':
n1[element['element_name']] = str
for element in elements3:
if element['data_type'] == 'STRING':
n2[element['element_name']] = str
for element in elements4:
if element['data_type'] == 'STRING':
n3[element['element_name']] = str
for element in elements5:
if element['data_type'] == 'STRING':
n4[element['element_name']] = str
file_data_0 = excel_data.get_excel_data(n0, CODE, "sheet_0", report)
file_data_1 = excel_data.get_excel_data(n1, CODE, "sheet_1", report)
file_data_2 = excel_data.get_excel_data(n2, CODE, "sheet_2", report)
file_data_3 = excel_data.get_excel_data(n3, CODE, "sheet_3", report)
file_data_4 = excel_data.get_excel_data(n4, CODE, "sheet_4", report)
df1 = pd.DataFrame(elements1)
df2 = pd.DataFrame(elements2)
df3 = pd.DataFrame(elements3)
df4 = pd.DataFrame(elements4)
df5 = pd.DataFrame(elements5)
main_datas = bl_ind.extract_data(file_data_0,
df1['element_name'].to_list())
additional_datas1 = bl_ind.extract_data(file_data_1,
df2['element_name'].to_list())
additional_datas2 = bl_ind.extract_data(file_data_2,
df3['element_name'].to_list())
additional_datas3 = bl_ind.extract_data(file_data_3,
df4['element_name'].to_list())
additional_datas4 = bl_ind.extract_data(file_data_4,
df5['element_name'].to_list())
elif isinstance(report, EnterpriseSendReport):
elements1 = bl_ent.get_base_elements(CODE)
elements2 = bl_ent.get_base_elements(CODE_ADDITIONAL1)
elements3 = bl_ent.get_base_elements(CODE_ADDITIONAL2)
elements4 = bl_ent.get_base_elements(CODE_ADDITIONAL3)
elements5 = bl_ent.get_base_elements(CODE_ADDITIONAL4)
n0 = OrderedDict()
n1 = OrderedDict()
n2 = OrderedDict()
n3 = OrderedDict()
n4 = OrderedDict()
for element in elements1:
if element['data_type'] == 'STRING':
n0[element['element_name']] = str
for element in elements2:
if element['data_type'] == 'STRING':
n1[element['element_name']] = str
for element in elements3:
if element['data_type'] == 'STRING':
n2[element['element_name']] = str
for element in elements4:
if element['data_type'] == 'STRING':
n3[element['element_name']] = str
for element in elements5:
if element['data_type'] == 'STRING':
n4[element['element_name']] = str
file_data_0 = excel_data.get_excel_data(n0, CODE, "sheet_0", report)
file_data_1 = excel_data.get_excel_data(n1, CODE, "sheet_1", report)
file_data_2 = excel_data.get_excel_data(n2, CODE, "sheet_2", report)
file_data_3 = excel_data.get_excel_data(n3, CODE, "sheet_3", report)
file_data_4 = excel_data.get_excel_data(n4, CODE, "sheet_4", report)
df1 = pd.DataFrame(elements1)
df2 = pd.DataFrame(elements2)
df3 = pd.DataFrame(elements3)
df4 = pd.DataFrame(elements4)
df5 = pd.DataFrame(elements5)
main_datas = bl_ent.extract_data(file_data_0,
df1['element_name'].to_list())
additional_datas1 = bl_ent.extract_data(file_data_1,
df2['element_name'].to_list())
additional_datas2 = bl_ent.extract_data(file_data_2,
df3['element_name'].to_list())
additional_datas3 = bl_ent.extract_data(file_data_3,
df4['element_name'].to_list())
additional_datas4 = bl_ent.extract_data(file_data_4,
df5['element_name'].to_list())
else:
logging.error('report type error:{0}'.format(report))
datas = build_master_agrmt(
main_datas, additional_datas1, additional_datas2, additional_datas3,
additional_datas4, df1[df1['status'] == '0']['element_name'].to_list(),
df2[df2['status'] == '0']['element_name'].to_list(),
df3[df3['status'] == '0']['element_name'].to_list(),
df4[df4['status'] == '0']['element_name'].to_list(),
df5[df5['status'] == '0']['element_name'].to_list())
report.jsonData = datas