Flask-Excel 0.0.7

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Known constraints

Fonts, colors and charts are not supported.

Introduction

Here is a typical conversation between the developer and the user:

User: "I have uploaded an excel file"
      "but your application says un-supported file format"
Developer: "Did you upload an xlsx file or a csv file?"
User: "Well, I am not sure. I saved the data using "
      "Microsoft Excel. Surely, it must be in an excel format."
Developer: "OK. Here is the thing. I were not told to support"
           "all available excel formats in day 1. Live with it"
           "or delay the project x number of days."

Flask-Excel is based on pyexcel and makes it easy to consume/produce information stored in excel files over HTTP protocol as well as on file system. This library can turn the excel data into a list of lists, a list of records(dictionaries), dictionaries of lists. And vice versa. Hence it lets you focus on data in Flask based web development, instead of file formats.

The idea originated from the common usability problem when developing an excel file driven web applications for non-technical office workers: such as office assistant, human resource administrator. The fact is that not all people know the difference among various excel formats: csv, xls, xlsx. Instead of training those people about file formats, this library helps web developers to handle most of the excel file formats by providing a common programming interface. To add a specific excel file format to you application, all you need is to install an extra pyexcel plugin. No code change to your application. Looking at the community, this library and its associated ones try to become a small and easy to install alternative to Pandas.

The highlighted features are:

1. excel data import into and export from databases

2. turn uploaded excel file directly into Python data structure

3. pass Python data structures as an excel file download

4. provide data persistence as an excel file in server side

5. supports csv, tsv, csvz, tsvz by default and other formats are supported via the following plugins:

In order to manage the list of plugins installed, you need to use pip to add or remove a plugin. When you use virtualenv, you can have different plugins per virtual environment. In the situation where you have multiple plugins that does the same thing in your environment, you need to tell pyexcel which plugin to use per function call. For example, pyexcel-ods and pyexcel-odsr, and you want to get_array to use pyexcel-odsr. You need to append get_array(…, library=’pyexcel-odsr’).

Footnotes

This library makes information processing involving various excel files as easy as processing array, dictionary when processing file upload/download, data import into and export from SQL databases, information analysis and persistence. It uses pyexcel and its plugins:

1. to provide one uniform programming interface to handle csv, tsv, xls, xlsx, xlsm and ods formats.

2. to provide one-stop utility to import the data in uploaded file into a database and to export tables in a database as excel files for file download.

3. to provide the same interface for information persistence at server side: saving a uploaded excel file to and loading a saved excel file from file system.

Tested Flask Versions

Installation

You can install it via pip:

$ pip install Flask-Excel

or clone it and install it:

$ git clone https://github.com/pyexcel/Flask-Excel.git
$ cd Flask-Excel
$ python setup.py install

Usage

Here are some example codes:

from flask import Flask, request, jsonify
from flask.ext import excel

app=Flask(__name__)

@app.route("/upload", methods=['GET', 'POST'])
def upload_file():
    if request.method == 'POST':
        return jsonify({"result": request.get_array(field_name='file')})
    return '''
    <!doctype html>
    <title>Upload an excel file</title>
    <h1>Excel file upload (csv, tsv, csvz, tsvz only)</h1>
    <form action="" method=post enctype=multipart/form-data>
    <p><input type=file name=file><input type=submit value=Upload>
   </form>
    '''

@app.route("/export", methods=['GET'])
def export_records():
    return excel.make_response_from_array([[1,2], [3, 4]], "csv",
                                          file_name="export_data")

if __name__ == "__main__":
    app.run()

Development guide

Development steps for code changes

1. git clone https://github.com/pyexcel/Flask-Excel.git

2. cd Flask-Excel

Upgrade your setup tools and pip. They are needed for development and testing only:

1. pip install –upgrade setuptools pip

Then install relevant development requirements:

1. pip install -r rnd_requirements.txt # if such a file exists

2. pip install -r requirements.txt

3. pip install -r tests/requirements.txt

Once you have finished your changes, please provide test case(s), relevant documentation and update CHANGELOG.rst.

$ make

> test.bat

License

New BSD License

Change log