如何在 Python 3 中通过 FTP 从内存上传数据? [英] How to upload data from memory via FTP in Python 3?
问题描述
我想通过 FTP 将内存中的各种数据(数组内容、静态 html 代码……)上传到网络服务器.
I want to upload various data from memory (contents of arrays, static html-code, ...) to a webserver via FTP.
这仅适用于一个基本字符串Hello World":
This works for just one basic string 'Hello World':
from ftplib import FTP
import io
...
bio = io.BytesIO(b'Hello World')
ftp.storbinary('STOR index.html', bio)
但是，我无法正确上传以下数据:
However, I do not get it right to upload data like:
datalog = array([['Temperature', 0, 0], ['Humidity', 0, 0]])
html_code = '<head><title></title></head><body>display here</body></html>
推荐答案
可以上传文件，但不能上传变量.
You can upload files but not variables.
您可以使用 BytesIO 或 StringIO 使用您的数据创建文件并上传.它们具有像普通文件一样的功能 - 即.bio.write(html_code.encode()).
You can use BytesIO or StringIO to create file with your data and upload it. They have functions like normal file - ie. bio.write(html_code.encode()).
from ftplib import FTP
import io
text = '<head><title></title></head><body>display here</body></html>'
bio = io.BytesIO()
bio.write(text.encode())
bio.seek(0) # move to beginning of file
ftp.storbinary('STOR index.html', bio)
对于 datalog，您可以使用模块 json 来创建包含所有数据的字符串
For datalog you can use module json to create string with all data
from ftplib import FTP
import io
import json
datalog = ([['Temperature', 0, 0], ['Humidity', 0, 0]])
text = json.dumps(datalog)
bio = io.BytesIO()
bio.write(text.encode())
bio.seek(0) # move to beginning of file
ftp.storbinary('STOR data.json', bio)
带有模块 csv 的示例不能直接与 BytesIO 一起使用，但它需要字符串文件.
Example with module csv which can't work directly with BytesIO but it needs string file.
from ftplib import FTP
import io
import csv
data = [['Temperature', 0, 0], ['Humidity', 0, 0]]
bio = io.BytesIO()
iow = io.TextIOWrapper(bio) # create String wrapper
csv_writer = csv.writer(iow) # create csv writer
csv_writer.writerows(data) # write all rows
iow.flush() # force String to send all from buffer to file (you can't use `iow.close()` for it)
bio.seek(0) # move to beginning of file
ftp.storbinary('STOR data.csv', bio)
# to see what is in bio
#bio.seek(0)
#print(bio.read())
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