将xls文件转换为apache NIFI中的csv文件

Question

大家好，我正在尝试将.xls 文件转换为 apache NIFI 数据流中的.csv。 我尝试了许多没有结果的解决方案我什至尝试创建一个像这样的脚本

先感谢您

Answer 1

将您的ExecuteStreamCommand配置为

并尝试在您的 python 脚本中使用以下代码，

import csv
import os
import sys
from io import StringIO, BytesIO
import pandas as pd
import xlrd
from pandas import ExcelFile

wb = xlrd.open_workbook(file_contents=sys.stdin.read(),logfile=open(os.devnull, 'w'))
excel_file_df = pd.read_excel(wb, sheet_name='Sheet1', index=False, index_col=0, encoding='utf-8',engine='xlrd')

#flowfile_content = ExcelFile(BytesIO(sys.stdin.read()))
#excel_file_df = pd.read_excel(flowfile_content, sheet_name='Sheet1', index=False, index_col=0, encoding='utf-8')

csv_data_rows = []
header_list = list(excel_file_df.columns.values)
temp_header_list = []

for field in header_list:
    temp = '"' + field +  '"'
    temp_header_list.append(temp)

header_row  = ','.join([str(elem) for elem in temp_header_list])
csv_data_rows.append(header_row)
is_header_row = True
for index, row in excel_file_df.iterrows():

    if is_header_row :
        is_header_row = False
        continue

    temp_data_list = []
    for item in row :
        #item = item.encode('utf-8', 'ignore').decode('utf-8')
        if hasattr(item, 'encode'):
            item = item.encode('ascii', 'ignore').decode('ascii')

        item = str(item)
        item = item.replace('\n', '')
        item = item.replace('",', '" ')
        if item == 'nan':
            item=''
        temp = '"' + str(item) + '"'
        temp_data_list.append(temp)

    data_row = ','.join([str(elem) for elem in temp_data_list])
    data_row = data_row
    csv_data_rows.append(data_row)

for item in csv_data_rows:
    sys.stdout.write("%s\r\n" % item)

Answer 2

您是否尝试过ConvertExcelToCSVProcessor ？ 如果是这样并且它不起作用，您可以分享任何错误、日志等吗？

Answer 3

    import csv
import os
import io
import sys
from io import StringIO, BytesIO
import pandas as pd
import xlrd
from pandas import ExcelFile
import petl as etl

#xls = etl.fromxls(sys.stdin)
#wb = xlrd.open_workbook(file_contents=xls,logfile=open(os.devnull, 'w', encoding='utf-8'))
excel_file_df = pd.read_excel(sys.stdin.buffer, sheet_name='Sheet1', index=False, index_col=0, encoding='utf-8',engine='xlrd')

#flowfile_content = ExcelFile(BytesIO(sys.stdin.read()))
#excel_file_df = pd.read_excel(flowfile_content, sheet_name='Sheet1', index=False, index_col=0, encoding='utf-8')

csv_data_rows = []
header_list = list(excel_file_df.columns.values)
temp_header_list = []

for field in header_list:
    temp = '"' + field +  '"'
    temp_header_list.append(temp)

header_row  = ','.join([str(elem) for elem in temp_header_list])
csv_data_rows.append(header_row)
is_header_row = True
for index, row in excel_file_df.iterrows():

    if is_header_row :
        is_header_row = False
        continue

    temp_data_list = []
    for item in row :
        #item = item.encode('utf-8', 'ignore').decode('utf-8')
        if hasattr(item, 'encode'):
            item = item.encode('ascii', 'ignore').decode('ascii')

        item = str(item)
        item = item.replace('\n', '')
        item = item.replace('",', '" ')
        if item == 'nan':
            item=''
        temp = '"' + str(item) + '"'
        temp_data_list.append(temp)

    data_row = ','.join([str(elem) for elem in temp_data_list])
    data_row = data_row
    csv_data_rows.append(data_row)

for item in csv_data_rows:
    sys.stdout.write("%s\r\n" % item)