rminderhoud · July 27, 2017 01:06
diff --git a/upload.py b/upload.py
 """ Basic file upload example for Flask

    Example provided for spitfiredd on thread 
    https://www.reddit.com/r/flask/comments/5zen73/help_looking_to_create_a_simple_web_app_where_i/?ref=share&ref_source=link
 """
 from flask import Flask, request, render_template, send_file
    
 app = Flask(__name__)

 # We need a secret key to work with form data
 # http://flask.pocoo.org/docs/0.12/config/#builtin-configuration-values
 app.config['SECRET_KEY'] = 'super secret'
    
 @app.route('/', methods=['GET', 'POST'])
 def index():
    # The browser sends an HTTP GET when opening a page
    # so we respond with some HTML to display our page
    if request.method == 'GET':
        return '''<!DOCTYPE html>
        <html>
        <head><title>Upload</title></head>
        <body>
        <form method="POST" enctype="multipart/form-data">
            <input type="file" name="file1" />
            <input type="file" name="file2" />
        </form>
        </body>
        </html>'''
    elif request.method == 'POST':
        # Get our files from the request object (or None if 
        # there is no file
        file1 = request.files.get('file1', None)
        file2 = request.files.get('file2', None)

        # Check if files exist
        files_exist = file1 != None and file2 != None
        files_name = file1.filename != '' and file2.filename != ''
        
        # Return error if they don't
        if not (files_exist and files_named):
            flash('Please select two files')
            return redirect(request.url)
        
        # Do processing here (e.g. load into pandas)
        # 
        # NOTE: If you are saving the files with the original name
        # make sure to sanitize it first
        #
        # Example (http://xlsxwriter.readthedocs.io/working_with_pandas.html#saving-the-dataframe-output-to-a-string):
        import io
        import pandas as pd
        
        d = pd.DataFrame()
        output = io.BytesIO()
        writer = pd.ExcelWriter(output, engine='xslxwriter')
        d.to_excel(writer, sheet_name='Sheet1')
        writer.save()
        
        return send_file(output, attachment_filename='output.xslx', as_attachment=True)
	""" Basic file upload example for Flask

	Example provided for spitfiredd on thread
	https://www.reddit.com/r/flask/comments/5zen73/help_looking_to_create_a_simple_web_app_where_i/?ref=share&ref_source=link
	"""
	from flask import Flask, request, render_template, send_file

	app = Flask(__name__)

	# We need a secret key to work with form data
	# http://flask.pocoo.org/docs/0.12/config/#builtin-configuration-values
	app.config['SECRET_KEY'] = 'super secret'

	@app.route('/', methods=['GET', 'POST'])
	def index():
	# The browser sends an HTTP GET when opening a page
	# so we respond with some HTML to display our page
	if request.method == 'GET':
	return '''<!DOCTYPE html>
	<html>
	<head><title>Upload</title></head>
	<body>
	<form method="POST" enctype="multipart/form-data">
	<input type="file" name="file1" />
	<input type="file" name="file2" />
	</form>
	</body>
	</html>'''
	elif request.method == 'POST':
	# Get our files from the request object (or None if
	# there is no file
	file1 = request.files.get('file1', None)
	file2 = request.files.get('file2', None)

	# Check if files exist
	files_exist = file1 != None and file2 != None
	files_name = file1.filename != '' and file2.filename != ''

	# Return error if they don't
	if not (files_exist and files_named):
	flash('Please select two files')
	return redirect(request.url)

	# Do processing here (e.g. load into pandas)
	#
	# NOTE: If you are saving the files with the original name
	# make sure to sanitize it first
	#
	# Example (http://xlsxwriter.readthedocs.io/working_with_pandas.html#saving-the-dataframe-output-to-a-string):
	import io
	import pandas as pd

	d = pd.DataFrame()
	output = io.BytesIO()
	writer = pd.ExcelWriter(output, engine='xslxwriter')
	d.to_excel(writer, sheet_name='Sheet1')
	writer.save()

	return send_file(output, attachment_filename='output.xslx', as_attachment=True)