在 apache NIFI 中将 xls 文件转换为 csv 文件

Question

大家好，我正在尝试在 apache NIFI 数据流中将 .xls 文件转换为 .csv。我尝试了很多解决方案都没有结果我什至尝试创建这样的脚本 sccript

提前致谢

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

你试过ConvertExcelToCSVProcessor吗？如果是这样，但它不起作用，您能分享任何错误、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)

在 apache NIFI 中将 xls 文件转换为 csv 文件

Convert xls files to csv files in apache NIFI

apache-nifi

converters

dataflow

processor