I am trying to allow the user to download a CSV file with data defined by their actions. The file doesn't exist, it's created dynamically. How can I do this in Flask?
Firstly you need to import from flask make_response , that will generate your response and create variable, something like response . Secondly, make response. content_type = "text/csv" Thirdly - return your response. I used a different approach as answered.
Project Directory First step is to create a project root directory under which I will put all the required files for the project. Let's say I am going to create a project root directory python-flask-file-download.
Go to File > Save As. Click Browse. In the Save As dialog box, under Save as type box, choose the text file format for the worksheet; for example, click Text (Tab delimited) or CSV (Comma delimited). Note: The different formats support different feature sets.
Generate the data with csv.writer
and stream the response. Use StringIO to write to an in-memory buffer rather than generating an intermediate file.
import csv
from datetime import datetime
from io import StringIO
from flask import Flask
from werkzeug.wrappers import Response
app = Flask(__name__)
# example data, this could come from wherever you are storing logs
log = [
('login', datetime(2015, 1, 10, 5, 30)),
('deposit', datetime(2015, 1, 10, 5, 35)),
('order', datetime(2015, 1, 10, 5, 50)),
('withdraw', datetime(2015, 1, 10, 6, 10)),
('logout', datetime(2015, 1, 10, 6, 15))
]
@app.route('/')
def download_log():
def generate():
data = StringIO()
w = csv.writer(data)
# write header
w.writerow(('action', 'timestamp'))
yield data.getvalue()
data.seek(0)
data.truncate(0)
# write each log item
for item in log:
w.writerow((
item[0],
item[1].isoformat() # format datetime as string
))
yield data.getvalue()
data.seek(0)
data.truncate(0)
# stream the response as the data is generated
response = Response(generate(), mimetype='text/csv')
# add a filename
response.headers.set("Content-Disposition", "attachment", filename="log.csv")
return response
If the generate
function will need information from the current request
, it should be decorated with stream_with_context
, otherwise you will get a "working outside request context" error. Everything else remains the same.
from flask import stream_with context
@stream_with_context
def generate():
...
The Flask-Excel library uses PyExcel to generate a CSV or other spreadsheet format and produces a Flask response. The docs list how to produce other formats and the full API for what data can be used.
pip install flask-excel
import flask_excel as excel
@app.route('/download', methods=['GET'])
def download_data():
sample_data=[0, 1, 2]
excel.init_excel(app)
extension_type = "csv"
filename = "test123" + "." extension_type
d = {'colName': sample_data}
return excel.make_response_from_dict(d, file_type=extension_type, file_name=filename)
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