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prepare for 0.0.5 release
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Diff for: .moban.d/docs/source/index.rst.jj2

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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/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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The tiny application exposes two urls: one for file upload and the other for file download. 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/pyexcel/Flask-Excel/blob/master/examples/database_example.py>`_
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Alternatively, 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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.. method:: make_response_from_dict(dict, file_type, status=200, file_name=None)
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:param dict: a dictinary of lists
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:param dict: a dictionary of lists
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:param file_type: same as :meth:`~flask_excel.make_response`
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:param status: same as :meth:`~flask_excel.make_response`
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:param file_name: same as :meth:`~flask_excel.make_response`

Diff for: README.rst

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The highlighted features are:
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#. excel data import into and export from databases
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#. turn uploaded excel file directly into Python data struture
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#. turn uploaded excel file directly into Python data structure
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#. pass Python data structures as an excel file download
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#. provide data persistence as an excel file in server side
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#. supports csv, tsv, csvz, tsvz by default and other formats are supported via
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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
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This library makes information processing involving various excel files as easy as
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processing array, dictionary when processing file upload/download, data import into
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and export from SQL databases, information analysis and persistence. It uses
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**pyexcel** and its plugins:

Diff for: doc/source/conf.py

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project = u'Flask-Excel'
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copyright = u'2015-2016 Onni Software Ltd.'
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version = '0.0.5'
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release = '0.0.4'
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release = '0.0.5'
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exclude_patterns = []
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pygments_style = 'sphinx'
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import sys # noqa

Diff for: doc/source/index.rst

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The highlighted features are:
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#. excel data import into and export from databases
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#. turn uploaded excel file directly into Python data struture
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#. turn uploaded excel file directly into Python data structure
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#. pass Python data structures as an excel file download
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#. provide data persistence as an excel file in server side
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#. supports csv, tsv, csvz, tsvz by default and other formats are supported via
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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
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This library makes information processing involving various excel files as easy as
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processing array, dictionary when processing file upload/download, data import into
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and export from SQL databases, information analysis and persistence. It uses
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**pyexcel** and its plugins:
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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/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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The tiny application exposes two urls: one for file upload and the other for file download. 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/pyexcel/Flask-Excel/blob/master/examples/database_example.py>`_
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Alternatively, 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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.. method:: make_response_from_dict(dict, file_type, status=200, file_name=None)
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:param dict: a dictinary of lists
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:param dict: a dictionary of lists
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:param file_type: same as :meth:`~flask_excel.make_response`
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:param status: same as :meth:`~flask_excel.make_response`
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:param file_name: same as :meth:`~flask_excel.make_response`

Diff for: doc/source/spelling_wordlist.txt

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pyexcel
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xlsx
3+
io
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tsv
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tsvz
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csv
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csvz
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xls
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ods
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xlsm
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xlsx
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rst
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mediawiki
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json
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html
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ordereddict
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param
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django
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bookdict
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url
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sql
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dest
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mapdict
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init
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func
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txt
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rnd
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cd
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moban
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github
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pypy
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userid
33+
py
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datetime
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filelist
36+
outfilename
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sheetname
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stdin
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sys
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stdout
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filename
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aset
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formatter
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aformatter
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afilter
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arg
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topleft
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cli
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Numpy
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bottomright
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rStructured
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colnames
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rownames
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PyPy
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nbsp
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middleware
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Pythonic
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formatters
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lineterminator
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initializer
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NamedColumn
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NamedRow
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RowValueFilter
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SingleColumnFilter
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NamedRowFormatter
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RowFormatter
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ColumnFormatter
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sqlalchemy
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adict
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initializers
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rrows
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rvertical
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getitem
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OddRowFilter
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RegionFilter
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versa
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centric
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de
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facto
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organisations
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ezodf
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odfpy
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plugins
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orgtbl
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urls
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webio
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plugin
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Sqllite
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SQLAlchemy
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funcs
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un

Diff for: flask_excel.yaml

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overrides: "pyexcel.yaml"
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name: "Flask-Excel"
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version: 0.0.5
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release: 0.0.4
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release: 0.0.5
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webframework: Flask
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dependencies:
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- pyexcel>=0.2.2

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