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prepare for release 0.0.4
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Diff for: .travis.yml

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script:
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make test
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after_success:
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coveralls
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codecov

Diff for: README.rst

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.. image:: https://api.travis-ci.org/pyexcel/Flask-Excel.svg?branch=master
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:target: http://travis-ci.org/pyexcel/Flask-Excel
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.. image:: https://coveralls.io/repos/chfw/Flask-Excel/badge.svg
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:target: https://coveralls.io/r/chfw/Flask-Excel
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.. image:: https://codecov.io/github/pyexcel/Flask-Excel/coverage.png
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:target: https://codecov.io/github/pyexcel/Flask-Excel
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.. image:: https://readthedocs.org/projects/flask-excel/badge/?version=latest
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:target: http://flask-excel.readthedocs.org/en/latest/
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**Flask-Excel** is based on `pyexcel <https://github.com/chfw/pyexcel>`_ and makes
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**Flask-Excel** is based on `pyexcel <https://github.com/pyexcel/pyexcel>`_ and makes
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it easy to consume/produce information stored in excel files over HTTP protocol as
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well as on file system. This library can turn the excel data into a list of lists,
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a list of records(dictionaries), dictionaries of lists. And vice versa. Hence it
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latex, grid, pipe, orgtbl, plain simple
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================ ==========================================
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.. _pyexcel-xls: https://github.com/chfw/pyexcel-xls
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.. _pyexcel-xlsx: https://github.com/chfw/pyexcel-xlsx
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.. _pyexcel-ods: https://github.com/chfw/pyexcel-ods
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.. _pyexcel-ods3: https://github.com/chfw/pyexcel-ods3
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.. _pyexcel-text: https://github.com/chfw/pyexcel-text
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.. _pyexcel-xls: https://github.com/pyexcel/pyexcel-xls
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.. _pyexcel-xlsx: https://github.com/pyexcel/pyexcel-xlsx
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.. _pyexcel-ods: https://github.com/pyexcel/pyexcel-ods
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.. _pyexcel-ods3: https://github.com/pyexcel/pyexcel-ods3
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.. _pyexcel-text: https://github.com/pyexcel/pyexcel-text
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Known constraints
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or clone it and install it::
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$ git clone http://github.com/chfw/Flask-Excel.git
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$ git clone http://github.com/pyexcel/Flask-Excel.git
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$ cd Flask-Excel
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$ python setup.py install
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Diff for: doc/source/index.rst

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=======================================
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:Author: C.W.
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:Issues: http://github.com/chfw/Flask-Excel/issues
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:Issues: http://github.com/pyexcel/Flask-Excel/issues
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:License: New BSD License
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:Version: |version|
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:Generated: |today|
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**Flask-Excel** is based on `pyexcel <https://github.com/chfw/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.
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**Flask-Excel** is based on `pyexcel <https://github.com/pyexcel/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.
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The highlighted features are:
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latex, grid, pipe, orgtbl, plain simple
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================ =========================================
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.. _pyexcel-xls: https://github.com/chfw/pyexcel-xls
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.. _pyexcel-xlsx: https://github.com/chfw/pyexcel-xlsx
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.. _pyexcel-ods: https://github.com/chfw/pyexcel-ods
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.. _pyexcel-ods3: https://github.com/chfw/pyexcel-ods3
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.. _pyexcel-text: https://github.com/chfw/pyexcel-text
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.. _pyexcel-xls: https://github.com/pyexcel/pyexcel-xls
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.. _pyexcel-xlsx: https://github.com/pyexcel/pyexcel-xlsx
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.. _pyexcel-ods: https://github.com/pyexcel/pyexcel-ods
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.. _pyexcel-ods3: https://github.com/pyexcel/pyexcel-ods3
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.. _pyexcel-text: https://github.com/pyexcel/pyexcel-text
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This library makes infomation processing involving various excel files as easy as processing array and dictionary. The information processing job includes 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.
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or clone it and install it::
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$ git clone http://github.com/chfw/Flask-Excel.git
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$ git clone http://github.com/pyexcel/Flask-Excel.git
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$ cd Flask-Excel
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$ python setup.py install
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app.run()
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The tiny application exposes two urls: one for file upload and the other for file donload. The former url presents a simple file upload html and responds back in json with the content of the uploaded file. Here is an `example file <https://github.com/chfw/Flask-Excel/blob/master/examples/example_for_upload.csv>` for testing but you can upload any other excel file. The file upload handler uses `request.get_array` to parse the uploaded file and gets an array back. The parameter **file** is coded in the html form::
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The tiny application exposes two urls: one for file upload and the other for file donload. The former url presents a simple file upload html and responds back in json with the content of the uploaded file. Here is an `example file <https://github.com/pyexcel/Flask-Excel/blob/master/examples/example_for_upload.csv>` for testing but you can upload any other excel file. The file upload handler uses `request.get_array` to parse the uploaded file and gets an array back. The parameter **file** is coded in the html form::
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<input ... name=file>
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# insert database related code here
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Alernatively, you can find the complete example on `github <https://github.com/chfw/Flask-Excel/blob/master/examples/database_example.py>`_
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Alernatively, you can find the complete example on `github <https://github.com/pyexcel/Flask-Excel/blob/master/examples/database_example.py>`_
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Now let's add the following imports first::
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return excel.make_response_from_tables(db.session, [Category, Post], "xls")
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Then run the example again. Visit http://localhost:5000/import and upload `sample-data.xls <https://github.com/chfw/Flask-Excel/blob/master/sample-data.xls>`_ . Then visit http://localhost:5000/export to download the data back.
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Then run the example again. Visit http://localhost:5000/import and upload `sample-data.xls <https://github.com/pyexcel/Flask-Excel/blob/master/sample-data.xls>`_ . Then visit http://localhost:5000/export to download the data back.
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Export filtered query sets
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-----------------------------

Diff for: test.sh

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pip freeze
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nosetests --with-cov --cov flask_excel --cov tests --with-doctest --doctest-extension=.rst

Diff for: tests/requirements.txt

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nose
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rednose
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nose-cov
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python-coveralls
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coverage==3.7.1
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codecov
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coverage
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pyexcel>=0.1.7
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pyexcel-io>=0.0.8
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pyexcel-ods3>=0.0.8

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