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101 Commits

Author SHA1 Message Date
Kenneth Reitz 96067e6380 Merge branch 'release/0.9.4' 2011-02-18 03:36:27 -05:00
Kenneth Reitz 1cc0f7d1f4 Version Bump (v0.9.4) 2011-02-18 03:34:59 -05:00
Kenneth Reitz f685bf548e latex stylee 2011-02-18 03:27:28 -05:00
Kenneth Reitz ca336926da junit's out 2011-02-18 03:27:12 -05:00
Kenneth Reitz 1aa3d3b06a removing coverage from scm 2011-02-18 03:15:39 -05:00
Kenneth Reitz be576135b2 Added 0.9.4 to History 2011-02-18 03:14:12 -05:00
Kenneth Reitz 0c05d0497e Added OrderedDict support. 2011-02-18 03:13:44 -05:00
Kenneth Reitz 52e307ea35 Docstring update 2011-02-18 02:59:07 -05:00
Kenneth Reitz 5cac9bd97e Python 2.5 added to compatible language list 2011-02-18 02:42:57 -05:00
Kenneth Reitz a285e993f1 add simplejson to requirements for 2.5 2011-02-18 02:42:37 -05:00
Kenneth Reitz 0ed367a31c I can see how that would cause a problem. 2011-02-18 02:34:59 -05:00
Kenneth Reitz c4815c24cc i haz the skillz 2011-02-18 02:07:42 -05:00
Kenneth Reitz 20fe1e0153 py.test now 2011-02-18 01:55:56 -05:00
Kenneth Reitz 5db8d1c3a6 that makes more sense 2011-02-18 01:44:59 -05:00
Kenneth Reitz 828017f9a7 wtf? is that even valid? 2011-02-18 01:34:18 -05:00
Kenneth Reitz cff8a6ac9a i've got to figure this out 2011-02-18 01:31:21 -05:00
Kenneth Reitz aa8590e8b8 json 2011-02-18 01:30:17 -05:00
Kenneth Reitz d2de647c47 added simplejson to tox config. 2011-02-18 01:29:16 -05:00
Kenneth Reitz 7afef680f5 fixed nose issue 2011-02-18 01:26:30 -05:00
Kenneth Reitz 35763f8c24 fix tox configuration 2011-02-17 20:31:02 -05:00
Kenneth Reitz cc3d020914 clear nosetests each time 2011-02-17 20:15:35 -05:00
Kenneth Reitz b8b5405f1c setup.py package fix 2011-02-17 20:13:01 -05:00
Kenneth Reitz b7aebbc74f anyjson in setup.py 2011-02-17 20:11:08 -05:00
Kenneth Reitz d776d78df5 Added AnyJSON to json format system 2011-02-17 20:09:07 -05:00
Kenneth Reitz 6f9365d376 Added AnyJSON 2011-02-17 20:02:14 -05:00
Kenneth Reitz 621b1bd45c Added AnyJSON license. 2011-02-17 20:02:07 -05:00
Kenneth Reitz be21b6fadd Remove vendorized SimpleJSON 2011-02-17 20:01:59 -05:00
Kenneth Reitz 832bfbbb1b this should work better 2011-02-17 19:54:10 -05:00
Kenneth Reitz 288b15fb54 tox coverage 2011-02-17 19:37:52 -05:00
Kenneth Reitz 73df22303b no more failing tests? 2011-02-17 16:47:42 -05:00
Kenneth Reitz 4c125bd206 8tabstop? really? 2011-02-17 16:36:28 -05:00
Kenneth Reitz ff0de1377a wow, that was ugly 2011-02-17 16:35:36 -05:00
Kenneth Reitz ccb29c68fa *shutter* making everyone else happy 2011-02-17 16:31:52 -05:00
Kenneth Reitz e077a7f2bc typo 2011-02-16 13:17:03 -05:00
Kenneth Reitz dcc52bdc18 Added Benjamin Wohlwend to AUTHORS 2011-02-14 04:16:21 -05:00
Benjamin Wohlwend 9cac54eefc Python 2.5 doesn't support @property.setter 2011-02-14 10:06:02 +01:00
Kenneth Reitz f69a96f07e Readme.rst improvements 2011-02-13 21:11:02 -05:00
Kenneth Reitz ca77ed6f64 documentation url style update 2011-02-10 10:18:58 -05:00
Kenneth Reitz 806aba9ef3 spelling corrections 2011-02-10 10:18:30 -05:00
Kenneth Reitz 23cbc0c333 More dynamic __slots__ 2011-02-03 13:52:53 -05:00
Kenneth Reitz 34ab54de77 Merge branch 'master' into develop 2011-02-02 21:34:08 -05:00
Kenneth Reitz 0843a15879 configuration fix for RTD 2011-02-02 21:33:41 -05:00
Kenneth Reitz 08ed309382 Merge branch 'release/0.9.3' into develop 2011-01-31 01:36:14 -05:00
Kenneth Reitz 26b6faa88d Merge branch 'release/0.9.3' 2011-01-31 01:35:52 -05:00
Kenneth Reitz 140736ff33 fabfile typo. 2011-01-31 01:34:40 -05:00
Kenneth Reitz 5379c5683d Markup license notice.
PD? Really?
2011-01-31 01:33:12 -05:00
Kenneth Reitz e8b44b5777 Version bump. 2011-01-31 01:33:00 -05:00
Kenneth Reitz a0822bc9b0 sorting update. 2011-01-31 01:29:41 -05:00
Kenneth Reitz 89b431213b Sorting update for headerless datasets. 2011-01-31 01:28:10 -05:00
Kenneth Reitz 695e8c5af7 Merge branch 'feature/sorting' into release/0.9.3 2011-01-31 00:58:27 -05:00
Kenneth Reitz 0797ec67d4 Prepping for new release (0.9.3) 2011-01-31 00:58:16 -05:00
Kenneth Reitz 1852624a7e Merge pull request #28 from cswegger/tablib
---

This patch provides simple column-based sorting to tablib. A (passing) unit-test is also included.
2011-01-22 18:35:34 -05:00
Luca Beltrame f81dc41a57 Support for sorting. Unit-tested. 2011-01-11 20:53:59 +01:00
Kenneth Reitz 34415b89b8 New Year! 2011-01-10 19:28:12 -05:00
Kenneth Reitz d25655588b TODO update. 2010-12-13 17:08:11 -05:00
Kenneth Reitz 22c4d185e1 Export HTML for Databooks. 2010-11-21 21:33:01 -05:00
Kenneth Reitz e3b3659ea4 whitespace fix 2010-11-21 21:32:00 -05:00
Kenneth Reitz 22d337790a small changes to html output 2010-11-21 18:58:30 -05:00
Kenneth Reitz 0784d4b32c Updated todo w/ new html output feature 2010-11-21 18:55:45 -05:00
Kenneth Reitz 332c5bccd9 Merge branch 'feature/html_out' into develop 2010-11-21 18:53:21 -05:00
Kenneth Reitz 7055d18a2e History update. 2010-11-21 18:53:18 -05:00
Kenneth Reitz 6a7c685111 Import path fix. 2010-11-21 18:49:02 -05:00
Kenneth Reitz 0e5b8f7058 Merge branch 'fix_databooks' into develop 2010-11-21 18:44:24 -05:00
Luca Beltrame e3e6b656e3 Fix the stupid mistake. 2010-11-21 13:17:36 +01:00
Luca Beltrame 99896a5f28 Fix Databook data leaks. 2010-11-21 13:14:47 +01:00
Luca Beltrame 25da44f569 Support for HTML (export only). Unit-tested. Depends on the "markup.py"
package(http://markup.sourceforge.net) which is included in packages/
Notice that the tests now depend on the presence of markup.py.
2010-11-21 13:00:56 +01:00
Kenneth Reitz 7727171379 Merge branch 'release/0.9.2' 2010-11-17 21:00:56 -05:00
Kenneth Reitz 91bd4eb9c7 Updated history 2010-11-17 21:00:13 -05:00
Kenneth Reitz 9b74b139fd Ordered dict in TODO 2010-11-17 21:00:01 -05:00
Kenneth Reitz 823a543f41 Version bump (v0.9.2) 2010-11-17 20:58:50 -05:00
Kenneth Reitz 1aa275bf99 Updated TODO. 2010-11-17 20:55:38 -05:00
Kenneth Reitz 17bb0d3b2c Merge branch 'feature/stacking' into develop 2010-11-17 20:49:08 -05:00
Kenneth Reitz 1a9aee9289 Column stacking only requires headers if headers exist. 2010-11-17 20:48:50 -05:00
Kenneth Reitz 196edb82cc trailing whitespae 2010-11-17 20:02:08 -05:00
Kenneth Reitz a2990d5852 Change stacking method names. 2010-11-17 20:01:31 -05:00
Kenneth Reitz d992ece86a Merge branch 'stacking' into feature/stacking 2010-11-17 19:56:04 -05:00
Kenneth Reitz 46f302255d Updated prophesy. 2010-11-17 19:54:50 -05:00
Kenneth Reitz 9e3ab4c13f Support for locked header row. 2010-11-17 19:50:22 -05:00
Kenneth Reitz eaed0e48c2 Formating. 2010-11-17 19:50:05 -05:00
Kenneth Reitz 501187b357 Merge branch 'feature/pickling' into develop 2010-11-17 19:15:51 -05:00
Kenneth Reitz ea4aef88b6 Subtle format fixes. 2010-11-17 19:15:36 -05:00
Luca Beltrame 24d800fac3 Support for pickling/unpickling Row objects. Makes Datasets pickleable. 2010-11-17 23:03:43 +01:00
Luca Beltrame d8136ab613 Whitespace 2010-11-17 22:51:43 +01:00
Luca Beltrame 36bbe2726b Remove unneded import 2010-11-15 09:00:57 +01:00
Luca Beltrame 1427be2901 Support for row and column stacking. Unit-tested. 2010-11-15 08:59:49 +01:00
Kenneth Reitz 10ce000d31 Updated changelog. 2010-11-11 11:02:14 -05:00
Kenneth Reitz a91254117c Added ordered dict library. 2010-11-11 11:02:07 -05:00
Kenneth Reitz b67762604f Merge branch 'transpose' into develop 2010-11-11 10:59:08 -05:00
Kenneth Reitz 83a8346e8f Added ordered dict license. 2010-11-11 10:58:48 -05:00
Luca Beltrame 657ab98d04 Support for Dataset transposition. Unit-tested. 2010-11-11 09:00:06 +01:00
Kenneth Reitz 9ddb4de942 Documentation typo. 2010-11-09 12:27:15 -05:00
Kenneth Reitz 5fad80a540 Update column append examples. 2010-11-09 08:43:34 -05:00
Kenneth Reitz cabab73045 Spacing fixes. 2010-11-09 08:42:51 -05:00
Kenneth Reitz 2bb0525990 Optimized set intersection for tag checking. 2010-11-05 09:46:14 -04:00
Kenneth Reitz f364bb576e Merge branch 'release/0.9.1' into develop 2010-11-04 12:08:08 -04:00
Kenneth Reitz 09d057094e Merge branch 'release/0.9.1' 2010-11-04 12:07:52 -04:00
Kenneth Reitz 8082c4ad43 Version bump (v0.9.1). 2010-11-04 12:07:37 -04:00
Kenneth Reitz 00e9ae0120 Minor bug was causing reference shadowing. 2010-11-04 12:05:39 -04:00
Kenneth Reitz f01c22213e Merge branch 'develop' 2010-11-04 05:54:01 -04:00
Kenneth Reitz a58bf269d9 Typo. 2010-11-04 05:53:45 -04:00
Kenneth Reitz 437a135dd3 Merge branch 'release/0.9.0' into develop 2010-11-04 05:47:36 -04:00
58 changed files with 2238 additions and 6109 deletions
+5
View File
@@ -18,3 +18,8 @@ profile
# vi noise
*.swp
docs/_build/*
coverage.xml
nosetests.xml
junit-py25.xml
junit-py26.xml
junit-py27.xml
+2 -1
View File
@@ -12,4 +12,5 @@ Patches and Suggestions
- Luke Lee
- Josh Ourisman
- Luca Beltrame
- Luca Beltrame
- Benjamin Wohlwend
+32
View File
@@ -1,6 +1,38 @@
History
-------
0.9.4 (2011-02-18)
++++++++++++++++++
* Python 2.5 Support!
* Tox Testing for 2.5, 2.6, 2.7
* AnyJSON Integrated
* OrderedDict support ?
* Caved to community pressure (spaces)
0.9.3 (2011-01-31)
++++++++++++++++++
* Databook duplication leak fix.
* HTML Table output.
* Added column sorting.
0.9.2 (2010-11-17)
++++++++++++++++++
* Tanspose method added to Datasets.
* New frozen top row in Excel output.
* Pickling support for Datasets and Rows.
* Support for row/column stacking.
0.9.1 (2010-11-04)
++++++++++++++++++
* Minor reference shadowing bugfix.
0.9.0 (2010-11-04)
++++++++++++++++++
+1 -1
View File
@@ -1,4 +1,4 @@
Copyright (c) 2010 Kenneth Reitz.
Copyright (c) 2011 Kenneth Reitz.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
+60 -18
View File
@@ -1,4 +1,37 @@
Tablib includes some vendorized python libraries: pyyaml, simplejson, and xlwt.
Tablib includes some vendorized python libraries: ordereddict, pyyaml,
simplejson, and xlwt.
Markup License
==============
Markup is in the public domain.
OrderedDict License
===================
Copyright (c) 2009 Raymond Hettinger
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation files
(the "Software"), to deal in the Software without restriction,
including without limitation the rights to use, copy, modify, merge,
publish, distribute, sublicense, and/or sell copies of the Software,
and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
@@ -27,29 +60,38 @@ SOFTWARE.
SimpleJSON License
AnyJSON License
==================
Copyright (c) 2006 Bob Ippolito
This software is licensed under the ``New BSD License``:
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do
so, subject to the following conditions:
Copyright (c) 2009, by the authors
All rights reserved.
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
Neither the name of the authors nor the names of its contributors may be used
to endorse or promote products derived from this software without specific
prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS
BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
+5 -45
View File
@@ -18,23 +18,17 @@ Output formats supported:
- Excel (Sets + Books)
- JSON (Sets + Books)
- YAML (Sets + Books)
- HTML (Sets)
- TSV (Sets)
- CSV (Sets)
Import formats supported:
- JSON (Sets + Books)
- YAML (Sets + Books)
- TSV (Sets)
- CSV (Sets)
Note that tablib *purposefully* excludes XML support. It always will.
Note that tablib *purposefully* excludes XML support. It always will. (Note: This is a joke. Pull requests are welcome.)
Overview
--------
`tablib.Dataset()`
A Dataset is a table of tabular data. It may or may not have a header row. They can be build and maniuplated as raw Python datatypes (Lists of tuples|dictonaries). Datasets can be imported from JSON, YAML, and CSV; they can be exported to Excel (XLS), JSON, YAML, and CSV.
A Dataset is a table of tabular data. It may or may not have a header row. They can be build and manipulated as raw Python datatypes (Lists of tuples|dictionaries). Datasets can be imported from JSON, YAML, and CSV; they can be exported to Excel (XLS), JSON, YAML, and CSV.
`tablib.Databook()`
A Databook is a set of Datasets. The most common form of a Databook is an Excel file with multiple spreadsheets. Databooks can be imported from JSON and YAML; they can be exported to Excel (XLS), JSON, and YAML.
@@ -61,7 +55,7 @@ Intelligently add new rows: ::
Intelligently add new columns: ::
>>> data.append(col=('age', 90, 67, 83))
>>> data.append(col=(90, 67, 83), header='age')
Slice rows: ::
@@ -127,39 +121,6 @@ EXCEL!
It's that easy.
Imports!
--------
JSON
++++
::
>>> data.json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
>>> print data[0]
('John', 'Adams', 90)
YAML
++++
::
>>> data.yaml = '- {age: 90, first_name: John, last_name: Adams}'
>>> print data[0]
('John', 'Adams', 90)
CSV
+++
::
>>> data.csv = 'age, first_name, last_name\n90, John, Adams'
>>> print data[0]
('John', 'Adams', 90)
>>> print data.yaml
- {age: 90, first_name: John, last_name: Adams}
Installation
------------
@@ -171,8 +132,7 @@ To install tablib, simply: ::
Or, if you absolutely must: ::
$ easy_install tablib
Contribute
----------
+10 -6
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@@ -1,9 +1,13 @@
* Polish *&* announce http://tablib.org.
* Add seperator support to HTML out
* Hooks System
- pre/post-append
- pre/post-import
- pre/post-export
* Big Data
* Backwards-compatible OrderedDict support
* Write more exhausive unit-tests.
* Write stress tests.
* Make CSV write customizable.
* HTML Table exports.
* ``Dataset.traspose()`` support?
* Integrate django-tablib
* Mention django-tablib in Documention
* Dataset title usage in documentation (#17)
+1 -1
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@@ -1,6 +1,6 @@
Modifications:
Copyright (c) 2010 Kenneth Reitz.
Copyright (c) 2011 Kenneth Reitz.
Original Project:
+16 -3
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@@ -12,13 +12,12 @@
# serve to show the default.
import sys, os
import tablib
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
sys.path.insert(0, os.path.abspath('..'))
import tablib
# -- General configuration -----------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
@@ -42,7 +41,7 @@ master_doc = 'index'
# General information about the project.
project = u'Tablib'
copyright = u'2010, Kenneth Reitz. Styles (modified) © Armin Ronacher'
copyright = u'2011, Kenneth Reitz. Styles (modified) © Armin Ronacher'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
@@ -183,6 +182,20 @@ latex_documents = [
u'Kenneth Reitz', 'manual'),
]
latex_use_modindex = False
latex_elements = {
'fontpkg': r'\usepackage{mathpazo}',
'papersize': 'a4paper',
'pointsize': '12pt',
'preamble': r'\usepackage{krstyle}'
}
latex_use_parts = True
latex_additional_files = ['krstyle.sty']
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#latex_logo = None
+4 -4
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@@ -128,7 +128,7 @@ Tablib features a micro-framework for adding format support. The easiest way to
.. admonition:: Excluding Support
If the format excludes support for an import/export mechanism (*eg.* :class:`csv <tablib.Dataset.csv>` excludes :class:`Databook <tablib.Databook>` support), simply don't define the respecive functions. Appropriate errors will be raised.
If the format excludes support for an import/export mechanism (*eg.* :class:`csv <tablib.Dataset.csv>` excludes :class:`Databook <tablib.Databook>` support), simply don't define the respective functions. Appropriate errors will be raised.
2.
@@ -145,7 +145,7 @@ Tablib features a micro-framework for adding format support. The easiest way to
Testing Tablib
--------------
Testing is crucial to Tablib's stability. This stable project is used in production by many companies and developers, so it is important to be certian that every version released is fully operational. When developing a new feature for Tablib, be sure to write proper tests for it as well.
Testing is crucial to Tablib's stability. This stable project is used in production by many companies and developers, so it is important to be certain that every version released is fully operational. When developing a new feature for Tablib, be sure to write proper tests for it as well.
When developing a feature for Tablib, the easiest way to test your changes for potential issues is to simply run the test suite directly. ::
@@ -174,7 +174,7 @@ This will generate a **nosetests.xml** file, which can then be analyzed.
Continuous Integration
----------------------
Every commit made to the **develop** branch is automatically tested and inspected upon receipt with `Hudson CI`_. If you have access to the main respository and broke the build, you will receive an email accordingly.
Every commit made to the **develop** branch is automatically tested and inspected upon receipt with `Hudson CI`_. If you have access to the main repository and broke the build, you will receive an email accordingly.
Anyone may view the build status and history at any time.
@@ -197,7 +197,7 @@ Building the Docs
-----------------
Documentation is written in the powerful, flexible, and standard Python documentation format, `reStructured Text`_.
Documentation builds are powered by the powerful Pocoo project, Sphinx_. The :ref:`API Documentation <api>` is mostly documented inline throught the module.
Documentation builds are powered by the powerful Pocoo project, Sphinx_. The :ref:`API Documentation <api>` is mostly documented inline throughout the module.
The Docs live in ``tablib/docs``. In order to build them, you will first need to install Sphinx. ::
+1 -1
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@@ -20,7 +20,7 @@ Tablib: Pythonic Tabular Data
.. * :ref:`search`
Tablib is an :ref:`MIT Lisenced <mit>` format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags & filtering, and seamless format import & exmport.
Tablib is an :ref:`MIT Licensed <mit>` format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags & filtering, and seamless format import & export.
I recommend you start with :ref:`Installation <install>`.
+1 -1
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@@ -2,7 +2,7 @@
Installation
============
This part of the documentation covers the installation of Tablib. The first step to using any software package is getting it properly installed. Please read this section carefully, or you may miss out on some nice :ref:`speed enhancments <peed-extentions>`.
This part of the documentation covers the installation of Tablib. The first step to using any software package is getting it properly installed. Please read this section carefully, or you may miss out on some nice :ref:`speed enhancements <peed-extentions>`.
.. _installing:
+3 -3
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@@ -4,7 +4,7 @@ Introduction
============
This part of the documentation covers all the interfaces of Tablib.
Tablib is a format-agnostic tabular dataset library, written in Python. It allows you to Pythonically import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags / filtering, and seamless format import/exmport.
Tablib is a format-agnostic tabular dataset library, written in Python. It allows you to Pythonically import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags / filtering, and seamless format import/export.
Philosphy
@@ -26,9 +26,9 @@ All contributions to Tablib should keep these important rules in mind.
MIT License
-----------
A large number of open source projects you find today are `GPL Licensed`_. While the GPL certianly has essential applications, it should most certianly not be your go-to license for your next open source project.
A large number of open source projects you find today are `GPL Licensed`_. While the GPL has its time and place, it should most certainly not be your go-to license for your next open source project.
A project that is released as GPL cannot be usd in any commercial product without the product itself also being offered as open source. The MIT and BSD licenses are great alternatives to the GPL that allow your open-source software to be used in proprietary, closed-source software.
A project that is released as GPL cannot be used in any commercial product without the product itself also being offered as open source. The MIT and BSD licenses are great alternatives to the GPL that allow your open-source software to be used in proprietary, closed-source software.
Tablib is released under terms of `The MIT License`_.
+118
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@@ -0,0 +1,118 @@
\definecolor{TitleColor}{rgb}{0,0,0}
\definecolor{InnerLinkColor}{rgb}{0,0,0}
\renewcommand{\maketitle}{%
\begin{titlepage}%
\let\footnotesize\small
\let\footnoterule\relax
\ifsphinxpdfoutput
\begingroup
% This \def is required to deal with multi-line authors; it
% changes \\ to ', ' (comma-space), making it pass muster for
% generating document info in the PDF file.
\def\\{, }
\pdfinfo{
/Author (\@author)
/Title (\@title)
}
\endgroup
\fi
\begin{flushright}%
%\sphinxlogo%
{\center
\vspace*{3cm}
\includegraphics{logo.pdf}
\vspace{3cm}
\par
{\rm\Huge \@title \par}%
{\em\LARGE \py@release\releaseinfo \par}
{\large
\@date \par
\py@authoraddress \par
}}%
\end{flushright}%\par
\@thanks
\end{titlepage}%
\cleardoublepage%
\setcounter{footnote}{0}%
\let\thanks\relax\let\maketitle\relax
%\gdef\@thanks{}\gdef\@author{}\gdef\@title{}
}
\fancypagestyle{normal}{
\fancyhf{}
\fancyfoot[LE,RO]{{\thepage}}
\fancyfoot[LO]{{\nouppercase{\rightmark}}}
\fancyfoot[RE]{{\nouppercase{\leftmark}}}
\fancyhead[LE,RO]{{ \@title, \py@release}}
\renewcommand{\headrulewidth}{0.4pt}
\renewcommand{\footrulewidth}{0.4pt}
}
\fancypagestyle{plain}{
\fancyhf{}
\fancyfoot[LE,RO]{{\thepage}}
\renewcommand{\headrulewidth}{0pt}
\renewcommand{\footrulewidth}{0.4pt}
}
\titleformat{\section}{\Large}%
{\py@TitleColor\thesection}{0.5em}{\py@TitleColor}{\py@NormalColor}
\titleformat{\subsection}{\large}%
{\py@TitleColor\thesubsection}{0.5em}{\py@TitleColor}{\py@NormalColor}
\titleformat{\subsubsection}{}%
{\py@TitleColor\thesubsubsection}{0.5em}{\py@TitleColor}{\py@NormalColor}
\titleformat{\paragraph}{\large}%
{\py@TitleColor}{0em}{\py@TitleColor}{\py@NormalColor}
\ChNameVar{\raggedleft\normalsize}
\ChNumVar{\raggedleft \bfseries\Large}
\ChTitleVar{\raggedleft \rm\Huge}
\renewcommand\thepart{\@Roman\c@part}
\renewcommand\part{%
\pagestyle{empty}
\if@noskipsec \leavevmode \fi
\cleardoublepage
\vspace*{6cm}%
\@afterindentfalse
\secdef\@part\@spart}
\def\@part[#1]#2{%
\ifnum \c@secnumdepth >\m@ne
\refstepcounter{part}%
\addcontentsline{toc}{part}{\thepart\hspace{1em}#1}%
\else
\addcontentsline{toc}{part}{#1}%
\fi
{\parindent \z@ %\center
\interlinepenalty \@M
\normalfont
\ifnum \c@secnumdepth >\m@ne
\rm\Large \partname~\thepart
\par\nobreak
\fi
\MakeUppercase{\rm\Huge #2}%
\markboth{}{}\par}%
\nobreak
\vskip 8ex
\@afterheading}
\def\@spart#1{%
{\parindent \z@ %\center
\interlinepenalty \@M
\normalfont
\huge \bfseries #1\par}%
\nobreak
\vskip 3ex
\@afterheading}
% use inconsolata font
\usepackage{inconsolata}
% fix single quotes, for inconsolata. (does not work)
%%\usepackage{textcomp}
%%\begingroup
%% \catcode`'=\active
%% \g@addto@macro\@noligs{\let'\textsinglequote}
%% \endgroup
%%\endinput
+9 -9
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@@ -87,7 +87,7 @@ Adding Columns
Now that we have a basic :class:`Dataset` in place, let's add a column of **ages** to it. ::
data.append(col=['Age', 22, 20])
data.append(col=[22, 20], header='Age')
Let's view the data now. ::
@@ -103,7 +103,7 @@ Exporting Data
Tablib's killer feature is the ability to export your :class:`Dataset` objects into a number of formats.
**Comma-Seperated Values** ::
**Comma-Separated Values** ::
>>> data.csv
Last Name,First Name,Age
@@ -243,8 +243,8 @@ Filtering Datasets with Tags
.. versionadded:: 0.9.0
When constructing a :class:`Dataset` object, you can add tags to rows by speficying the ``tags`` parameter.
This allows you to filter your :class:`Dataset` later. This can be useful so seperate rows of data based on
When constructing a :class:`Dataset` object, you can add tags to rows by specifying the ``tags`` parameter.
This allows you to filter your :class:`Dataset` later. This can be useful so separate rows of data based on
arbitrary criteria (*e.g.* origin) that you don't want to include in your :class:`Dataset`.
Let's tag some students. ::
@@ -268,7 +268,7 @@ It's that simple. The original :class:`Dataset` is untouched.
Excel Workbook With Multiple Sheets
------------------------------------
When dealine with a large number of :class:`Datasets <Dataset>` in spreadsheet format, it's quite common to group mulitple spreadsheets into a single Excel file, known as a Workbook. Tablib makes it extremely easy to build webooks with the handy, :class:`Databook` class.
When dealing with a large number of :class:`Datasets <Dataset>` in spreadsheet format, it's quite common to group multiple spreadsheets into a single Excel file, known as a Workbook. Tablib makes it extremely easy to build workbooks with the handy, :class:`Databook` class.
Let's say we have 3 different :class:`Datasets <Dataset>`. All we have to do is add then to a :class:`Databook` object... ::
@@ -280,7 +280,7 @@ Let's say we have 3 different :class:`Datasets <Dataset>`. All we have to do is
with open('students.xls', 'wb') as f:
f.write(book.xls)
The resulting **students.xls** file will contain a seperate spreadsheet for each :class:`Dataset` object in the :class:`Databook`.
The resulting **students.xls** file will contain a separate spreadsheet for each :class:`Dataset` object in the :class:`Databook`.
.. admonition:: Binary Warning
@@ -295,7 +295,7 @@ Seperators
.. versionadded:: 0.8.2
When, it's often useful to create a blank row containing information on the upcomming data. So,
When, it's often useful to create a blank row containing information on the upcoming data. So,
@@ -346,8 +346,8 @@ The resulting **tests.xls** will have the following layout:
.. admonition:: Format Support
At this time, only :class:`Excel <Dataset.xls>` output supports seperators.
At this time, only :class:`Excel <Dataset.xls>` output supports separators.
----
Now, go check out the :ref:`API Documentation <api>` or begin :ref:`Tablib Development <development>`.
Now, go check out the :ref:`API Documentation <api>` or begin :ref:`Tablib Development <development>`.
Vendored
+10 -10
View File
@@ -3,15 +3,15 @@ from fabric.api import *
def scrub():
""" Death to the bytecode! """
local('rm -fr dist build')
local("find . -name \"*.pyc\" -exec rm '{}' ';'")
""" Death to the bytecode! """
local('rm -fr dist build')
local("find . -name \"*.pyc\" -exec rm '{}' ';'")
def docs():
"""Build docs."""
os.system('make html')
os.chdir('_build/html')
os.system('sphinxtogithub .')
os.system('git add -A')
os.system('git commit -m \'documentation update\'')
os.system('git push origin gh-pages')
"""Build docs."""
os.system('make dirhtml')
os.chdir('_build/dirhtml')
os.system('sphinxtogithub .')
os.system('git add -A')
os.system('git commit -m \'documentation update\'')
os.system('git push origin gh-pages')
+34 -32
View File
@@ -8,43 +8,45 @@ from distutils.core import setup
def publish():
"""Publish to PyPi"""
os.system("python setup.py sdist upload")
"""Publish to PyPi"""
os.system("python setup.py sdist upload")
if sys.argv[-1] == "publish":
publish()
sys.exit()
publish()
sys.exit()
required = []
if sys.version_info < (2,6):
required.append('simplejson')
setup(
name='tablib',
version='0.9.0',
description='Format agnostic tabular data library (XLS, JSON, YAML, CSV)',
long_description=open('README.rst').read() + '\n\n' +
open('HISTORY.rst').read(),
author='Kenneth Reitz',
author_email='me@kennethreitz.com',
url='http://tablib.org',
packages= [
'tablib', 'tablib.formats',
'tablib.packages',
'tablib.packages.simplejson',
'tablib.packages.xlwt',
'tablib.packages.yaml',
],
install_requires=required,
license='MIT',
classifiers=(
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Natural Language :: English',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python',
# 'Programming Language :: Python :: 2.5',
name='tablib',
version='0.9.4',
description='Format agnostic tabular data library (XLS, JSON, YAML, CSV)',
long_description=open('README.rst').read() + '\n\n' +
open('HISTORY.rst').read(),
author='Kenneth Reitz',
author_email='me@kennethreitz.com',
url='http://tablib.org',
packages= [
'tablib', 'tablib.formats',
'tablib.packages',
'tablib.packages.xlwt',
'tablib.packages.yaml',
],
install_requires=required,
license='MIT',
classifiers=(
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Natural Language :: English',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python',
'Programming Language :: Python :: 2.5',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
# 'Programming Language :: Python :: 3.0',
# 'Programming Language :: Python :: 3.1',
),
'Programming Language :: Python :: 2.7',
# 'Programming Language :: Python :: 3.0',
# 'Programming Language :: Python :: 3.1',
),
)
+2 -2
View File
@@ -2,7 +2,7 @@
"""
from tablib.core import (
Databook, Dataset, detect, import_set,
InvalidDatasetType, InvalidDimensions, UnsupportedFormat
Databook, Dataset, detect, import_set,
InvalidDatasetType, InvalidDimensions, UnsupportedFormat
)
+609 -458
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File diff suppressed because it is too large Load Diff
+2 -1
View File
@@ -8,5 +8,6 @@ import _json as json
import _xls as xls
import _yaml as yaml
import _tsv as tsv
import _html as html
available = (json, xls, yaml, csv, tsv)
available = (json, xls, yaml, csv, tsv, html)
+20 -20
View File
@@ -16,34 +16,34 @@ extentions = ('csv',)
def export_set(dataset):
"""Returns CSV representation of Dataset."""
stream = cStringIO.StringIO()
_csv = csv.writer(stream)
"""Returns CSV representation of Dataset."""
stream = cStringIO.StringIO()
_csv = csv.writer(stream)
for row in dataset._package(dicts=False):
_csv.writerow(row)
for row in dataset._package(dicts=False):
_csv.writerow(row)
return stream.getvalue()
return stream.getvalue()
def import_set(dset, in_stream, headers=True):
"""Returns dataset from CSV stream."""
"""Returns dataset from CSV stream."""
dset.wipe()
dset.wipe()
rows = csv.reader(in_stream.split())
for i, row in enumerate(rows):
rows = csv.reader(in_stream.split())
for i, row in enumerate(rows):
if (i == 0) and (headers):
dset.headers = row
else:
dset.append(row)
if (i == 0) and (headers):
dset.headers = row
else:
dset.append(row)
def detect(stream):
"""Returns True if given stream is valid CSV."""
try:
rows = dialect = csv.Sniffer().sniff(stream)
return True
except csv.Error:
return False
"""Returns True if given stream is valid CSV."""
try:
rows = dialect = csv.Sniffer().sniff(stream)
return True
except csv.Error:
return False
+53
View File
@@ -0,0 +1,53 @@
# -*- coding: utf-8 -*-
""" Tablib - HTML export support.
"""
from StringIO import StringIO
from tablib.packages import markup
import tablib
BOOK_ENDINGS = 'h3'
title = 'html'
extentions = ('html', )
def export_set(dataset):
"""HTML representation of a Dataset."""
stream = StringIO()
page = markup.page()
page.table.open()
if dataset.headers is not None:
page.thead.open()
headers = markup.oneliner.th(dataset.headers)
page.tr(headers)
page.thead.close()
for row in dataset:
html_row = markup.oneliner.td(row)
page.tr(html_row)
page.table.close()
stream.writelines(str(page))
return stream.getvalue()
def export_book(databook):
"""HTML representation of a Databook."""
stream = StringIO()
for i, dset in enumerate(databook._datasets):
title = (dset.title if dset.title else 'Set %s' % (i))
stream.write('<%s>%s</%s>\n' % (BOOK_ENDINGS, title, BOOK_ENDINGS))
stream.write(dset.html)
stream.write('\n')
return stream.getvalue()
+24 -30
View File
@@ -3,15 +3,9 @@
""" Tablib - JSON Support
"""
try:
import json # load system JSON (Python >= 2.6)
except ImportError:
try:
import simplejson as json
except ImportError:
import tablib.packages.simplejson as json # use the vendorized copy
import tablib.core
from tablib.packages import anyjson
title = 'json'
@@ -19,37 +13,37 @@ extentions = ('json', 'jsn')
def export_set(dataset):
"""Returns JSON representation of Dataset."""
return json.dumps(dataset.dict)
"""Returns JSON representation of Dataset."""
return anyjson.serialize(dataset.dict)
def export_book(databook):
"""Returns JSON representation of Databook."""
return json.dumps(databook._package())
"""Returns JSON representation of Databook."""
return anyjson.serialize(databook._package())
def import_set(dset, in_stream):
"""Returns dataset from JSON stream."""
dset.wipe()
dset.dict = json.loads(in_stream)
"""Returns dataset from JSON stream."""
dset.wipe()
dset.dict = anyjson.deserialize(in_stream)
def import_book(dbook, in_stream):
"""Returns databook from JSON stream."""
"""Returns databook from JSON stream."""
dbook.wipe()
for sheet in json.loads(in_stream):
data = tablib.core.Dataset()
data.title = sheet['title']
data.dict = sheet['data']
dbook.add_sheet(data)
dbook.wipe()
for sheet in anyjson.deserialize(in_stream):
data = tablib.core.Dataset()
data.title = sheet['title']
data.dict = sheet['data']
dbook.add_sheet(data)
def detect(stream):
"""Returns True if given stream is valid JSON."""
try:
json.loads(stream)
return True
except ValueError:
return False
"""Returns True if given stream is valid JSON."""
try:
anyjson.deserialize(stream)
return True
except ValueError:
return False
+23 -23
View File
@@ -16,36 +16,36 @@ extentions = ('tsv',)
def export_set(dataset):
"""Returns a TSV representation of Dataset."""
stream = cStringIO.StringIO()
_tsv = csv.writer(stream, delimiter='\t')
"""Returns a TSV representation of Dataset."""
stream = cStringIO.StringIO()
_tsv = csv.writer(stream, delimiter='\t')
for row in dataset._package(dicts=False):
_tsv.writerow(row)
for row in dataset._package(dicts=False):
_tsv.writerow(row)
return stream.getvalue()
return stream.getvalue()
def import_set(dset, in_stream, headers=True):
"""Returns dataset from TSV stream."""
dset.wipe()
"""Returns dataset from TSV stream."""
dset.wipe()
rows = csv.reader(in_stream.split('\r\n'), delimiter='\t')
for i, row in enumerate(rows):
# Skip empty rows
if not row:
continue
rows = csv.reader(in_stream.split('\r\n'), delimiter='\t')
for i, row in enumerate(rows):
# Skip empty rows
if not row:
continue
if (i == 0) and (headers):
dset.headers = row
else:
dset.append(row)
if (i == 0) and (headers):
dset.headers = row
else:
dset.append(row)
def detect(stream):
"""Returns True if given stream is valid TSV."""
try:
rows = dialect = csv.Sniffer().sniff(stream, delimiters='\t')
return True
except csv.Error:
return False
"""Returns True if given stream is valid TSV."""
try:
rows = dialect = csv.Sniffer().sniff(stream, delimiters='\t')
return True
except csv.Error:
return False
+46 -41
View File
@@ -6,9 +6,9 @@
import cStringIO
try:
import xlwt
import xlwt
except ImportError:
import tablib.packages.xlwt as xlwt
import tablib.packages.xlwt as xlwt
title = 'xls'
@@ -20,61 +20,66 @@ bold = xlwt.easyxf("font: bold on")
def export_set(dataset):
"""Returns XLS representation of Dataset."""
"""Returns XLS representation of Dataset."""
wb = xlwt.Workbook(encoding='utf8')
ws = wb.add_sheet(dataset.title if dataset.title else 'Tabbed Dataset')
wb = xlwt.Workbook(encoding='utf8')
ws = wb.add_sheet(dataset.title if dataset.title else 'Tabbed Dataset')
dset_sheet(dataset, ws)
stream = cStringIO.StringIO()
wb.save(stream)
return stream.getvalue()
dset_sheet(dataset, ws)
stream = cStringIO.StringIO()
wb.save(stream)
return stream.getvalue()
def export_book(databook):
"""Returns XLS representation of DataBook."""
"""Returns XLS representation of DataBook."""
wb = xlwt.Workbook(encoding='utf8')
wb = xlwt.Workbook(encoding='utf8')
for i, dset in enumerate(databook._datasets):
ws = wb.add_sheet(dset.title if dset.title else 'Sheet%s' % (i))
for i, dset in enumerate(databook._datasets):
ws = wb.add_sheet(dset.title if dset.title else 'Sheet%s' % (i))
dset_sheet(dset, ws)
dset_sheet(dset, ws)
stream = cStringIO.StringIO()
wb.save(stream)
return stream.getvalue()
stream = cStringIO.StringIO()
wb.save(stream)
return stream.getvalue()
def dset_sheet(dataset, ws):
"""Completes given worksheet from given Dataset."""
_package = dataset._package(dicts=False)
"""Completes given worksheet from given Dataset."""
_package = dataset._package(dicts=False)
for i, sep in enumerate(dataset._separators):
_offset = i
_package.insert((sep[0] + _offset), (sep[1],))
for i, sep in enumerate(dataset._separators):
_offset = i
_package.insert((sep[0] + _offset), (sep[1],))
for i, row in enumerate(_package):
for j, col in enumerate(row):
for i, row in enumerate(_package):
for j, col in enumerate(row):
# bold headers
if (i == 0) and dataset.headers:
ws.write(i, j, col, bold)
# bold headers
if (i == 0) and dataset.headers:
ws.write(i, j, col, bold)
# bold separators
elif len(row) < dataset.width:
ws.write(i, j, col, bold)
# frozen header row
ws.panes_frozen = True
ws.horz_split_pos = 1
# bold separators
elif len(row) < dataset.width:
ws.write(i, j, col, bold)
# wrap the rest
else:
try:
if '\n' in col:
ws.write(i, j, col, wrap)
else:
ws.write(i, j, col)
except TypeError:
ws.write(i, j, col)
# wrap the rest
else:
try:
if '\n' in col:
ws.write(i, j, col, wrap)
else:
ws.write(i, j, col)
except TypeError:
ws.write(i, j, col)
+26 -26
View File
@@ -4,9 +4,9 @@
"""
try:
import yaml
import yaml
except ImportError:
import tablib.packages.yaml as yaml
import tablib.packages.yaml as yaml
import tablib
@@ -18,40 +18,40 @@ extentions = ('yaml', 'yml')
def export_set(dataset):
"""Returns YAML representation of Dataset."""
return yaml.dump(dataset.dict)
"""Returns YAML representation of Dataset."""
return yaml.dump(dataset.dict)
def export_book(databook):
"""Returns YAML representation of Databook."""
return yaml.dump(databook._package())
"""Returns YAML representation of Databook."""
return yaml.dump(databook._package())
def import_set(dset, in_stream):
"""Returns dataset from YAML stream."""
"""Returns dataset from YAML stream."""
dset.wipe()
dset.dict = yaml.load(in_stream)
dset.wipe()
dset.dict = yaml.load(in_stream)
def import_book(dbook, in_stream):
"""Returns databook from YAML stream."""
"""Returns databook from YAML stream."""
dbook.wipe()
dbook.wipe()
for sheet in yaml.load(in_stream):
data = tablib.core.Dataset()
data.title = sheet['title']
data.dict = sheet['data']
dbook.add_sheet(data)
for sheet in yaml.load(in_stream):
data = tablib.core.Dataset()
data.title = sheet['title']
data.dict = sheet['data']
dbook.add_sheet(data)
def detect(stream):
"""Returns True if given stream is valid YAML."""
try:
_yaml = yaml.load(stream)
if isinstance(_yaml, (list, tuple, dict)):
return True
else:
return False
except yaml.parser.ParserError:
return False
"""Returns True if given stream is valid YAML."""
try:
_yaml = yaml.load(stream)
if isinstance(_yaml, (list, tuple, dict)):
return True
else:
return False
except yaml.parser.ParserError:
return False
+20 -20
View File
@@ -7,31 +7,31 @@ import sys
class Struct(object):
"""Your attributes are belong to us."""
def __init__(self, **entries):
self.__dict__.update(entries)
def __getitem__(self, key):
return getattr(self, key, None)
"""Your attributes are belong to us."""
def __init__(self, **entries):
self.__dict__.update(entries)
def __getitem__(self, key):
return getattr(self, key, None)
def dictionary(self):
"""Returns dictionary representation of object."""
return self.__dict__
def dictionary(self):
"""Returns dictionary representation of object."""
return self.__dict__
def items(self):
"""Returns items within object."""
return self.__dict__.items()
def items(self):
"""Returns items within object."""
return self.__dict__.items()
def keys(self):
"""Returns keys within object."""
return self.__dict__.keys()
def keys(self):
"""Returns keys within object."""
return self.__dict__.keys()
def piped():
"""Returns piped input via stdin, else False."""
with sys.stdin as stdin:
# TTY is only way to detect if stdin contains data
return stdin.read() if not stdin.isatty() else None
"""Returns piped input via stdin, else False."""
with sys.stdin as stdin:
# TTY is only way to detect if stdin contains data
return stdin.read() if not stdin.isatty() else None
+117
View File
@@ -0,0 +1,117 @@
"""
Wraps the best available JSON implementation available in a common interface
"""
__version__ = "0.2.0"
__author__ = "Rune Halvorsen <runefh@gmail.com>"
__homepage__ = "http://bitbucket.org/runeh/anyjson/"
__docformat__ = "restructuredtext"
"""
.. function:: serialize(obj)
Serialize the object to JSON.
.. function:: deserialize(str)
Deserialize JSON-encoded object to a Python object.
.. function:: force_implementation(name)
Load a specific json module. This is useful for testing and not much else
.. attribute:: implementation
The json implementation object. This is probably not useful to you,
except to get the name of the implementation in use. The name is
available through `implementation.name`.
"""
import sys
implementation = None
"""
.. data:: _modules
List of known json modules, and the names of their serialize/unserialize
methods, as well as the exception they throw. Exception can be either
an exception class or a string.
"""
_modules = [("cjson", "encode", "EncodeError", "decode", "DecodeError"),
("jsonlib2", "write", "WriteError", "read", "ReadError"),
("jsonlib", "write", "WriteError", "read", "ReadError"),
("simplejson", "dumps", TypeError, "loads", ValueError),
("json", "dumps", TypeError, "loads", ValueError),
("django.utils.simplejson", "dumps", TypeError, "loads",
ValueError)]
_fields = ("modname", "encoder", "encerror", "decoder", "decerror")
class _JsonImplementation(object):
"""Incapsulates a JSON implementation"""
def __init__(self, modspec):
modinfo = dict(zip(_fields, modspec))
# No try block. We want importerror to end up at caller
module = self._attempt_load(modinfo["modname"])
self.implementation = modinfo["modname"]
self._encode = getattr(module, modinfo["encoder"])
self._decode = getattr(module, modinfo["decoder"])
self._encode_error = modinfo["encerror"]
self._decode_error = modinfo["decerror"]
if isinstance(modinfo["encerror"], basestring):
self._encode_error = getattr(module, modinfo["encerror"])
if isinstance(modinfo["decerror"], basestring):
self._decode_error = getattr(module, modinfo["decerror"])
self.name = modinfo["modname"]
def _attempt_load(self, modname):
"""Attempt to load module name modname, returning it on success,
throwing ImportError if module couldn't be imported"""
__import__(modname)
return sys.modules[modname]
def serialize(self, data):
"""Serialize the datastructure to json. Returns a string. Raises
TypeError if the object could not be serialized."""
try:
return self._encode(data)
except self._encode_error, exc:
raise TypeError(*exc.args)
def deserialize(self, s):
"""deserialize the string to python data types. Raises
ValueError if the string vould not be parsed."""
try:
return self._decode(s)
except self._decode_error, exc:
raise ValueError(*exc.args)
def force_implementation(modname):
"""Forces anyjson to use a specific json module if it's available"""
global implementation
for name, spec in [(e[0], e) for e in _modules]:
if name == modname:
implementation = _JsonImplementation(spec)
return
raise ImportError("No module named: %s" % modname)
for modspec in _modules:
try:
implementation = _JsonImplementation(modspec)
break
except ImportError:
pass
else:
raise ImportError("No supported JSON module found")
serialize = lambda value: implementation.serialize(value)
deserialize = lambda value: implementation.deserialize(value)
+484
View File
@@ -0,0 +1,484 @@
# This code is in the public domain, it comes
# with absolutely no warranty and you can do
# absolutely whatever you want with it.
__date__ = '17 May 2007'
__version__ = '1.7'
__doc__= """
This is markup.py - a Python module that attempts to
make it easier to generate HTML/XML from a Python program
in an intuitive, lightweight, customizable and pythonic way.
The code is in the public domain.
Version: %s as of %s.
Documentation and further info is at http://markup.sourceforge.net/
Please send bug reports, feature requests, enhancement
ideas or questions to nogradi at gmail dot com.
Installation: drop markup.py somewhere into your Python path.
""" % ( __version__, __date__ )
import string
class element:
"""This class handles the addition of a new element."""
def __init__( self, tag, case='lower', parent=None ):
self.parent = parent
if case == 'lower':
self.tag = tag.lower( )
else:
self.tag = tag.upper( )
def __call__( self, *args, **kwargs ):
if len( args ) > 1:
raise ArgumentError( self.tag )
# if class_ was defined in parent it should be added to every element
if self.parent is not None and self.parent.class_ is not None:
if 'class_' not in kwargs:
kwargs['class_'] = self.parent.class_
if self.parent is None and len( args ) == 1:
x = [ self.render( self.tag, False, myarg, mydict ) for myarg, mydict in _argsdicts( args, kwargs ) ]
return '\n'.join( x )
elif self.parent is None and len( args ) == 0:
x = [ self.render( self.tag, True, myarg, mydict ) for myarg, mydict in _argsdicts( args, kwargs ) ]
return '\n'.join( x )
if self.tag in self.parent.twotags:
for myarg, mydict in _argsdicts( args, kwargs ):
self.render( self.tag, False, myarg, mydict )
elif self.tag in self.parent.onetags:
if len( args ) == 0:
for myarg, mydict in _argsdicts( args, kwargs ):
self.render( self.tag, True, myarg, mydict ) # here myarg is always None, because len( args ) = 0
else:
raise ClosingError( self.tag )
elif self.parent.mode == 'strict_html' and self.tag in self.parent.deptags:
raise DeprecationError( self.tag )
else:
raise InvalidElementError( self.tag, self.parent.mode )
def render( self, tag, single, between, kwargs ):
"""Append the actual tags to content."""
out = "<%s" % tag
for key, value in kwargs.iteritems( ):
if value is not None: # when value is None that means stuff like <... checked>
key = key.strip('_') # strip this so class_ will mean class, etc.
if key == 'http_equiv': # special cases, maybe change _ to - overall?
key = 'http-equiv'
elif key == 'accept_charset':
key = 'accept-charset'
out = "%s %s=\"%s\"" % ( out, key, escape( value ) )
else:
out = "%s %s" % ( out, key )
if between is not None:
out = "%s>%s</%s>" % ( out, between, tag )
else:
if single:
out = "%s />" % out
else:
out = "%s>" % out
if self.parent is not None:
self.parent.content.append( out )
else:
return out
def close( self ):
"""Append a closing tag unless element has only opening tag."""
if self.tag in self.parent.twotags:
self.parent.content.append( "</%s>" % self.tag )
elif self.tag in self.parent.onetags:
raise ClosingError( self.tag )
elif self.parent.mode == 'strict_html' and self.tag in self.parent.deptags:
raise DeprecationError( self.tag )
def open( self, **kwargs ):
"""Append an opening tag."""
if self.tag in self.parent.twotags or self.tag in self.parent.onetags:
self.render( self.tag, False, None, kwargs )
elif self.mode == 'strict_html' and self.tag in self.parent.deptags:
raise DeprecationError( self.tag )
class page:
"""This is our main class representing a document. Elements are added
as attributes of an instance of this class."""
def __init__( self, mode='strict_html', case='lower', onetags=None, twotags=None, separator='\n', class_=None ):
"""Stuff that effects the whole document.
mode -- 'strict_html' for HTML 4.01 (default)
'html' alias for 'strict_html'
'loose_html' to allow some deprecated elements
'xml' to allow arbitrary elements
case -- 'lower' element names will be printed in lower case (default)
'upper' they will be printed in upper case
onetags -- list or tuple of valid elements with opening tags only
twotags -- list or tuple of valid elements with both opening and closing tags
these two keyword arguments may be used to select
the set of valid elements in 'xml' mode
invalid elements will raise appropriate exceptions
separator -- string to place between added elements, defaults to newline
class_ -- a class that will be added to every element if defined"""
valid_onetags = [ "AREA", "BASE", "BR", "COL", "FRAME", "HR", "IMG", "INPUT", "LINK", "META", "PARAM" ]
valid_twotags = [ "A", "ABBR", "ACRONYM", "ADDRESS", "B", "BDO", "BIG", "BLOCKQUOTE", "BODY", "BUTTON",
"CAPTION", "CITE", "CODE", "COLGROUP", "DD", "DEL", "DFN", "DIV", "DL", "DT", "EM", "FIELDSET",
"FORM", "FRAMESET", "H1", "H2", "H3", "H4", "H5", "H6", "HEAD", "HTML", "I", "IFRAME", "INS",
"KBD", "LABEL", "LEGEND", "LI", "MAP", "NOFRAMES", "NOSCRIPT", "OBJECT", "OL", "OPTGROUP",
"OPTION", "P", "PRE", "Q", "SAMP", "SCRIPT", "SELECT", "SMALL", "SPAN", "STRONG", "STYLE",
"SUB", "SUP", "TABLE", "TBODY", "TD", "TEXTAREA", "TFOOT", "TH", "THEAD", "TITLE", "TR",
"TT", "UL", "VAR" ]
deprecated_onetags = [ "BASEFONT", "ISINDEX" ]
deprecated_twotags = [ "APPLET", "CENTER", "DIR", "FONT", "MENU", "S", "STRIKE", "U" ]
self.header = [ ]
self.content = [ ]
self.footer = [ ]
self.case = case
self.separator = separator
# init( ) sets it to True so we know that </body></html> has to be printed at the end
self._full = False
self.class_= class_
if mode == 'strict_html' or mode == 'html':
self.onetags = valid_onetags
self.onetags += map( string.lower, self.onetags )
self.twotags = valid_twotags
self.twotags += map( string.lower, self.twotags )
self.deptags = deprecated_onetags + deprecated_twotags
self.deptags += map( string.lower, self.deptags )
self.mode = 'strict_html'
elif mode == 'loose_html':
self.onetags = valid_onetags + deprecated_onetags
self.onetags += map( string.lower, self.onetags )
self.twotags = valid_twotags + deprecated_twotags
self.twotags += map( string.lower, self.twotags )
self.mode = mode
elif mode == 'xml':
if onetags and twotags:
self.onetags = onetags
self.twotags = twotags
elif ( onetags and not twotags ) or ( twotags and not onetags ):
raise CustomizationError( )
else:
self.onetags = russell( )
self.twotags = russell( )
self.mode = mode
else:
raise ModeError( mode )
def __getattr__( self, attr ):
if attr.startswith("__") and attr.endswith("__"):
raise AttributeError, attr
return element( attr, case=self.case, parent=self )
def __str__( self ):
if self._full and ( self.mode == 'strict_html' or self.mode == 'loose_html' ):
end = [ '</body>', '</html>' ]
else:
end = [ ]
return self.separator.join( self.header + self.content + self.footer + end )
def __call__( self, escape=False ):
"""Return the document as a string.
escape -- False print normally
True replace < and > by &lt; and &gt;
the default escape sequences in most browsers"""
if escape:
return _escape( self.__str__( ) )
else:
return self.__str__( )
def add( self, text ):
"""This is an alias to addcontent."""
self.addcontent( text )
def addfooter( self, text ):
"""Add some text to the bottom of the document"""
self.footer.append( text )
def addheader( self, text ):
"""Add some text to the top of the document"""
self.header.append( text )
def addcontent( self, text ):
"""Add some text to the main part of the document"""
self.content.append( text )
def init( self, lang='en', css=None, metainfo=None, title=None, header=None,
footer=None, charset=None, encoding=None, doctype=None, bodyattrs=None, script=None ):
"""This method is used for complete documents with appropriate
doctype, encoding, title, etc information. For an HTML/XML snippet
omit this method.
lang -- language, usually a two character string, will appear
as <html lang='en'> in html mode (ignored in xml mode)
css -- Cascading Style Sheet filename as a string or a list of
strings for multiple css files (ignored in xml mode)
metainfo -- a dictionary in the form { 'name':'content' } to be inserted
into meta element(s) as <meta name='name' content='content'>
(ignored in xml mode)
bodyattrs --a dictionary in the form { 'key':'value', ... } which will be added
as attributes of the <body> element as <body key='value' ... >
(ignored in xml mode)
script -- dictionary containing src:type pairs, <script type='text/type' src=src></script>
title -- the title of the document as a string to be inserted into
a title element as <title>my title</title> (ignored in xml mode)
header -- some text to be inserted right after the <body> element
(ignored in xml mode)
footer -- some text to be inserted right before the </body> element
(ignored in xml mode)
charset -- a string defining the character set, will be inserted into a
<meta http-equiv='Content-Type' content='text/html; charset=myset'>
element (ignored in xml mode)
encoding -- a string defining the encoding, will be put into to first line of
the document as <?xml version='1.0' encoding='myencoding' ?> in
xml mode (ignored in html mode)
doctype -- the document type string, defaults to
<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN'>
in html mode (ignored in xml mode)"""
self._full = True
if self.mode == 'strict_html' or self.mode == 'loose_html':
if doctype is None:
doctype = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN'>"
self.header.append( doctype )
self.html( lang=lang )
self.head( )
if charset is not None:
self.meta( http_equiv='Content-Type', content="text/html; charset=%s" % charset )
if metainfo is not None:
self.metainfo( metainfo )
if css is not None:
self.css( css )
if title is not None:
self.title( title )
if script is not None:
self.scripts( script )
self.head.close()
if bodyattrs is not None:
self.body( **bodyattrs )
else:
self.body( )
if header is not None:
self.content.append( header )
if footer is not None:
self.footer.append( footer )
elif self.mode == 'xml':
if doctype is None:
if encoding is not None:
doctype = "<?xml version='1.0' encoding='%s' ?>" % encoding
else:
doctype = "<?xml version='1.0' ?>"
self.header.append( doctype )
def css( self, filelist ):
"""This convenience function is only useful for html.
It adds css stylesheet(s) to the document via the <link> element."""
if isinstance( filelist, basestring ):
self.link( href=filelist, rel='stylesheet', type='text/css', media='all' )
else:
for file in filelist:
self.link( href=file, rel='stylesheet', type='text/css', media='all' )
def metainfo( self, mydict ):
"""This convenience function is only useful for html.
It adds meta information via the <meta> element, the argument is
a dictionary of the form { 'name':'content' }."""
if isinstance( mydict, dict ):
for name, content in mydict.iteritems( ):
self.meta( name=name, content=content )
else:
raise TypeError, "Metainfo should be called with a dictionary argument of name:content pairs."
def scripts( self, mydict ):
"""Only useful in html, mydict is dictionary of src:type pairs will
be rendered as <script type='text/type' src=src></script>"""
if isinstance( mydict, dict ):
for src, type in mydict.iteritems( ):
self.script( '', src=src, type='text/%s' % type )
else:
raise TypeError, "Script should be given a dictionary of src:type pairs."
class _oneliner:
"""An instance of oneliner returns a string corresponding to one element.
This class can be used to write 'oneliners' that return a string
immediately so there is no need to instantiate the page class."""
def __init__( self, case='lower' ):
self.case = case
def __getattr__( self, attr ):
if attr.startswith("__") and attr.endswith("__"):
raise AttributeError, attr
return element( attr, case=self.case, parent=None )
oneliner = _oneliner( case='lower' )
upper_oneliner = _oneliner( case='upper' )
def _argsdicts( args, mydict ):
"""A utility generator that pads argument list and dictionary values, will only be called with len( args ) = 0, 1."""
if len( args ) == 0:
args = None,
elif len( args ) == 1:
args = _totuple( args[0] )
else:
raise Exception, "We should have never gotten here."
mykeys = mydict.keys( )
myvalues = map( _totuple, mydict.values( ) )
maxlength = max( map( len, [ args ] + myvalues ) )
for i in xrange( maxlength ):
thisdict = { }
for key, value in zip( mykeys, myvalues ):
try:
thisdict[ key ] = value[i]
except IndexError:
thisdict[ key ] = value[-1]
try:
thisarg = args[i]
except IndexError:
thisarg = args[-1]
yield thisarg, thisdict
def _totuple( x ):
"""Utility stuff to convert string, int, float, None or anything to a usable tuple."""
if isinstance( x, basestring ):
out = x,
elif isinstance( x, ( int, float ) ):
out = str( x ),
elif x is None:
out = None,
else:
out = tuple( x )
return out
def escape( text, newline=False ):
"""Escape special html characters."""
if isinstance( text, basestring ):
if '&' in text:
text = text.replace( '&', '&amp;' )
if '>' in text:
text = text.replace( '>', '&gt;' )
if '<' in text:
text = text.replace( '<', '&lt;' )
if '\"' in text:
text = text.replace( '\"', '&quot;' )
if '\'' in text:
text = text.replace( '\'', '&quot;' )
if newline:
if '\n' in text:
text = text.replace( '\n', '<br>' )
return text
_escape = escape
def unescape( text ):
"""Inverse of escape."""
if isinstance( text, basestring ):
if '&amp;' in text:
text = text.replace( '&amp;', '&' )
if '&gt;' in text:
text = text.replace( '&gt;', '>' )
if '&lt;' in text:
text = text.replace( '&lt;', '<' )
if '&quot;' in text:
text = text.replace( '&quot;', '\"' )
return text
class dummy:
"""A dummy class for attaching attributes."""
pass
doctype = dummy( )
doctype.frameset = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Frameset//EN' 'http://www.w3.org/TR/html4/frameset.dtd'>"
doctype.strict = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01//EN' 'http://www.w3.org/TR/html4/strict.dtd'>"
doctype.loose = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN' 'http://www.w3.org/TR/html4/loose.dtd'>"
class russell:
"""A dummy class that contains anything."""
def __contains__( self, item ):
return True
class MarkupError( Exception ):
"""All our exceptions subclass this."""
def __str__( self ):
return self.message
class ClosingError( MarkupError ):
def __init__( self, tag ):
self.message = "The element '%s' does not accept non-keyword arguments (has no closing tag)." % tag
class OpeningError( MarkupError ):
def __init__( self, tag ):
self.message = "The element '%s' can not be opened." % tag
class ArgumentError( MarkupError ):
def __init__( self, tag ):
self.message = "The element '%s' was called with more than one non-keyword argument." % tag
class InvalidElementError( MarkupError ):
def __init__( self, tag, mode ):
self.message = "The element '%s' is not valid for your mode '%s'." % ( tag, mode )
class DeprecationError( MarkupError ):
def __init__( self, tag ):
self.message = "The element '%s' is deprecated, instantiate markup.page with mode='loose_html' to allow it." % tag
class ModeError( MarkupError ):
def __init__( self, mode ):
self.message = "Mode '%s' is invalid, possible values: strict_html, loose_html, xml." % mode
class CustomizationError( MarkupError ):
def __init__( self ):
self.message = "If you customize the allowed elements, you must define both types 'onetags' and 'twotags'."
if __name__ == '__main__':
print __doc__
@@ -1,119 +1,127 @@
"""Drop-in replacement for collections.OrderedDict by Raymond Hettinger
http://code.activestate.com/recipes/576693/
"""
from UserDict import DictMixin
# Modified from original to support Python 2.4, see
# http://code.google.com/p/simplejson/issues/detail?id=53
try:
all
except NameError:
def all(seq):
for elem in seq:
if not elem:
return False
return True
class OrderedDict(dict, DictMixin):
def __init__(self, *args, **kwds):
if len(args) > 1:
raise TypeError('expected at most 1 arguments, got %d' % len(args))
try:
self.__end
except AttributeError:
self.clear()
self.update(*args, **kwds)
def clear(self):
self.__end = end = []
end += [None, end, end] # sentinel node for doubly linked list
self.__map = {} # key --> [key, prev, next]
dict.clear(self)
def __setitem__(self, key, value):
if key not in self:
end = self.__end
curr = end[1]
curr[2] = end[1] = self.__map[key] = [key, curr, end]
dict.__setitem__(self, key, value)
def __delitem__(self, key):
dict.__delitem__(self, key)
key, prev, next = self.__map.pop(key)
prev[2] = next
next[1] = prev
def __iter__(self):
end = self.__end
curr = end[2]
while curr is not end:
yield curr[0]
curr = curr[2]
def __reversed__(self):
end = self.__end
curr = end[1]
while curr is not end:
yield curr[0]
curr = curr[1]
def popitem(self, last=True):
if not self:
raise KeyError('dictionary is empty')
# Modified from original to support Python 2.4, see
# http://code.google.com/p/simplejson/issues/detail?id=53
if last:
key = reversed(self).next()
else:
key = iter(self).next()
value = self.pop(key)
return key, value
def __reduce__(self):
items = [[k, self[k]] for k in self]
tmp = self.__map, self.__end
del self.__map, self.__end
inst_dict = vars(self).copy()
self.__map, self.__end = tmp
if inst_dict:
return (self.__class__, (items,), inst_dict)
return self.__class__, (items,)
def keys(self):
return list(self)
setdefault = DictMixin.setdefault
update = DictMixin.update
pop = DictMixin.pop
values = DictMixin.values
items = DictMixin.items
iterkeys = DictMixin.iterkeys
itervalues = DictMixin.itervalues
iteritems = DictMixin.iteritems
def __repr__(self):
if not self:
return '%s()' % (self.__class__.__name__,)
return '%s(%r)' % (self.__class__.__name__, self.items())
def copy(self):
return self.__class__(self)
@classmethod
def fromkeys(cls, iterable, value=None):
d = cls()
for key in iterable:
d[key] = value
return d
def __eq__(self, other):
if isinstance(other, OrderedDict):
return len(self)==len(other) and \
all(p==q for p, q in zip(self.items(), other.items()))
return dict.__eq__(self, other)
def __ne__(self, other):
return not self == other
# Copyright (c) 2009 Raymond Hettinger
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without limitation the rights to use, copy, modify, merge,
# publish, distribute, sublicense, and/or sell copies of the Software,
# and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
# HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
# OTHER DEALINGS IN THE SOFTWARE.
from UserDict import DictMixin
class OrderedDict(dict, DictMixin):
def __init__(self, *args, **kwds):
if len(args) > 1:
raise TypeError('expected at most 1 arguments, got %d' % len(args))
try:
self.__end
except AttributeError:
self.clear()
self.update(*args, **kwds)
def clear(self):
self.__end = end = []
end += [None, end, end] # sentinel node for doubly linked list
self.__map = {} # key --> [key, prev, next]
dict.clear(self)
def __setitem__(self, key, value):
if key not in self:
end = self.__end
curr = end[1]
curr[2] = end[1] = self.__map[key] = [key, curr, end]
dict.__setitem__(self, key, value)
def __delitem__(self, key):
dict.__delitem__(self, key)
key, prev, next = self.__map.pop(key)
prev[2] = next
next[1] = prev
def __iter__(self):
end = self.__end
curr = end[2]
while curr is not end:
yield curr[0]
curr = curr[2]
def __reversed__(self):
end = self.__end
curr = end[1]
while curr is not end:
yield curr[0]
curr = curr[1]
def popitem(self, last=True):
if not self:
raise KeyError('dictionary is empty')
if last:
key = reversed(self).next()
else:
key = iter(self).next()
value = self.pop(key)
return key, value
def __reduce__(self):
items = [[k, self[k]] for k in self]
tmp = self.__map, self.__end
del self.__map, self.__end
inst_dict = vars(self).copy()
self.__map, self.__end = tmp
if inst_dict:
return (self.__class__, (items,), inst_dict)
return self.__class__, (items,)
def keys(self):
return list(self)
setdefault = DictMixin.setdefault
update = DictMixin.update
pop = DictMixin.pop
values = DictMixin.values
items = DictMixin.items
iterkeys = DictMixin.iterkeys
itervalues = DictMixin.itervalues
iteritems = DictMixin.iteritems
def __repr__(self):
if not self:
return '%s()' % (self.__class__.__name__,)
return '%s(%r)' % (self.__class__.__name__, self.items())
def copy(self):
return self.__class__(self)
@classmethod
def fromkeys(cls, iterable, value=None):
d = cls()
for key in iterable:
d[key] = value
return d
def __eq__(self, other):
if isinstance(other, OrderedDict):
if len(self) != len(other):
return False
for p, q in zip(self.items(), other.items()):
if p != q:
return False
return True
return dict.__eq__(self, other)
def __ne__(self, other):
return not self == other
-437
View File
@@ -1,437 +0,0 @@
r"""JSON (JavaScript Object Notation) <http://json.org> is a subset of
JavaScript syntax (ECMA-262 3rd edition) used as a lightweight data
interchange format.
:mod:`simplejson` exposes an API familiar to users of the standard library
:mod:`marshal` and :mod:`pickle` modules. It is the externally maintained
version of the :mod:`json` library contained in Python 2.6, but maintains
compatibility with Python 2.4 and Python 2.5 and (currently) has
significant performance advantages, even without using the optional C
extension for speedups.
Encoding basic Python object hierarchies::
>>> import simplejson as json
>>> json.dumps(['foo', {'bar': ('baz', None, 1.0, 2)}])
'["foo", {"bar": ["baz", null, 1.0, 2]}]'
>>> print json.dumps("\"foo\bar")
"\"foo\bar"
>>> print json.dumps(u'\u1234')
"\u1234"
>>> print json.dumps('\\')
"\\"
>>> print json.dumps({"c": 0, "b": 0, "a": 0}, sort_keys=True)
{"a": 0, "b": 0, "c": 0}
>>> from StringIO import StringIO
>>> io = StringIO()
>>> json.dump(['streaming API'], io)
>>> io.getvalue()
'["streaming API"]'
Compact encoding::
>>> import simplejson as json
>>> json.dumps([1,2,3,{'4': 5, '6': 7}], separators=(',',':'))
'[1,2,3,{"4":5,"6":7}]'
Pretty printing::
>>> import simplejson as json
>>> s = json.dumps({'4': 5, '6': 7}, sort_keys=True, indent=' ')
>>> print '\n'.join([l.rstrip() for l in s.splitlines()])
{
"4": 5,
"6": 7
}
Decoding JSON::
>>> import simplejson as json
>>> obj = [u'foo', {u'bar': [u'baz', None, 1.0, 2]}]
>>> json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]') == obj
True
>>> json.loads('"\\"foo\\bar"') == u'"foo\x08ar'
True
>>> from StringIO import StringIO
>>> io = StringIO('["streaming API"]')
>>> json.load(io)[0] == 'streaming API'
True
Specializing JSON object decoding::
>>> import simplejson as json
>>> def as_complex(dct):
... if '__complex__' in dct:
... return complex(dct['real'], dct['imag'])
... return dct
...
>>> json.loads('{"__complex__": true, "real": 1, "imag": 2}',
... object_hook=as_complex)
(1+2j)
>>> from decimal import Decimal
>>> json.loads('1.1', parse_float=Decimal) == Decimal('1.1')
True
Specializing JSON object encoding::
>>> import simplejson as json
>>> def encode_complex(obj):
... if isinstance(obj, complex):
... return [obj.real, obj.imag]
... raise TypeError(repr(o) + " is not JSON serializable")
...
>>> json.dumps(2 + 1j, default=encode_complex)
'[2.0, 1.0]'
>>> json.JSONEncoder(default=encode_complex).encode(2 + 1j)
'[2.0, 1.0]'
>>> ''.join(json.JSONEncoder(default=encode_complex).iterencode(2 + 1j))
'[2.0, 1.0]'
Using simplejson.tool from the shell to validate and pretty-print::
$ echo '{"json":"obj"}' | python -m simplejson.tool
{
"json": "obj"
}
$ echo '{ 1.2:3.4}' | python -m simplejson.tool
Expecting property name: line 1 column 2 (char 2)
"""
__version__ = '2.1.1'
__all__ = [
'dump', 'dumps', 'load', 'loads',
'JSONDecoder', 'JSONDecodeError', 'JSONEncoder',
'OrderedDict',
]
__author__ = 'Bob Ippolito <bob@redivi.com>'
from decimal import Decimal
from decoder import JSONDecoder, JSONDecodeError
from encoder import JSONEncoder
def _import_OrderedDict():
import collections
try:
return collections.OrderedDict
except AttributeError:
import ordered_dict
return ordered_dict.OrderedDict
OrderedDict = _import_OrderedDict()
def _import_c_make_encoder():
try:
from simplejson._speedups import make_encoder
return make_encoder
except ImportError:
return None
_default_encoder = JSONEncoder(
skipkeys=False,
ensure_ascii=True,
check_circular=True,
allow_nan=True,
indent=None,
separators=None,
encoding='utf-8',
default=None,
use_decimal=False,
)
def dump(obj, fp, skipkeys=False, ensure_ascii=True, check_circular=True,
allow_nan=True, cls=None, indent=None, separators=None,
encoding='utf-8', default=None, use_decimal=False, **kw):
"""Serialize ``obj`` as a JSON formatted stream to ``fp`` (a
``.write()``-supporting file-like object).
If ``skipkeys`` is true then ``dict`` keys that are not basic types
(``str``, ``unicode``, ``int``, ``long``, ``float``, ``bool``, ``None``)
will be skipped instead of raising a ``TypeError``.
If ``ensure_ascii`` is false, then the some chunks written to ``fp``
may be ``unicode`` instances, subject to normal Python ``str`` to
``unicode`` coercion rules. Unless ``fp.write()`` explicitly
understands ``unicode`` (as in ``codecs.getwriter()``) this is likely
to cause an error.
If ``check_circular`` is false, then the circular reference check
for container types will be skipped and a circular reference will
result in an ``OverflowError`` (or worse).
If ``allow_nan`` is false, then it will be a ``ValueError`` to
serialize out of range ``float`` values (``nan``, ``inf``, ``-inf``)
in strict compliance of the JSON specification, instead of using the
JavaScript equivalents (``NaN``, ``Infinity``, ``-Infinity``).
If *indent* is a string, then JSON array elements and object members
will be pretty-printed with a newline followed by that string repeated
for each level of nesting. ``None`` (the default) selects the most compact
representation without any newlines. For backwards compatibility with
versions of simplejson earlier than 2.1.0, an integer is also accepted
and is converted to a string with that many spaces.
If ``separators`` is an ``(item_separator, dict_separator)`` tuple
then it will be used instead of the default ``(', ', ': ')`` separators.
``(',', ':')`` is the most compact JSON representation.
``encoding`` is the character encoding for str instances, default is UTF-8.
``default(obj)`` is a function that should return a serializable version
of obj or raise TypeError. The default simply raises TypeError.
If *use_decimal* is true (default: ``False``) then decimal.Decimal
will be natively serialized to JSON with full precision.
To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
``.default()`` method to serialize additional types), specify it with
the ``cls`` kwarg.
"""
# cached encoder
if (not skipkeys and ensure_ascii and
check_circular and allow_nan and
cls is None and indent is None and separators is None and
encoding == 'utf-8' and default is None and not kw):
iterable = _default_encoder.iterencode(obj)
else:
if cls is None:
cls = JSONEncoder
iterable = cls(skipkeys=skipkeys, ensure_ascii=ensure_ascii,
check_circular=check_circular, allow_nan=allow_nan, indent=indent,
separators=separators, encoding=encoding,
default=default, use_decimal=use_decimal, **kw).iterencode(obj)
# could accelerate with writelines in some versions of Python, at
# a debuggability cost
for chunk in iterable:
fp.write(chunk)
def dumps(obj, skipkeys=False, ensure_ascii=True, check_circular=True,
allow_nan=True, cls=None, indent=None, separators=None,
encoding='utf-8', default=None, use_decimal=False, **kw):
"""Serialize ``obj`` to a JSON formatted ``str``.
If ``skipkeys`` is false then ``dict`` keys that are not basic types
(``str``, ``unicode``, ``int``, ``long``, ``float``, ``bool``, ``None``)
will be skipped instead of raising a ``TypeError``.
If ``ensure_ascii`` is false, then the return value will be a
``unicode`` instance subject to normal Python ``str`` to ``unicode``
coercion rules instead of being escaped to an ASCII ``str``.
If ``check_circular`` is false, then the circular reference check
for container types will be skipped and a circular reference will
result in an ``OverflowError`` (or worse).
If ``allow_nan`` is false, then it will be a ``ValueError`` to
serialize out of range ``float`` values (``nan``, ``inf``, ``-inf``) in
strict compliance of the JSON specification, instead of using the
JavaScript equivalents (``NaN``, ``Infinity``, ``-Infinity``).
If ``indent`` is a string, then JSON array elements and object members
will be pretty-printed with a newline followed by that string repeated
for each level of nesting. ``None`` (the default) selects the most compact
representation without any newlines. For backwards compatibility with
versions of simplejson earlier than 2.1.0, an integer is also accepted
and is converted to a string with that many spaces.
If ``separators`` is an ``(item_separator, dict_separator)`` tuple
then it will be used instead of the default ``(', ', ': ')`` separators.
``(',', ':')`` is the most compact JSON representation.
``encoding`` is the character encoding for str instances, default is UTF-8.
``default(obj)`` is a function that should return a serializable version
of obj or raise TypeError. The default simply raises TypeError.
If *use_decimal* is true (default: ``False``) then decimal.Decimal
will be natively serialized to JSON with full precision.
To use a custom ``JSONEncoder`` subclass (e.g. one that overrides the
``.default()`` method to serialize additional types), specify it with
the ``cls`` kwarg.
"""
# cached encoder
if (not skipkeys and ensure_ascii and
check_circular and allow_nan and
cls is None and indent is None and separators is None and
encoding == 'utf-8' and default is None and not use_decimal
and not kw):
return _default_encoder.encode(obj)
if cls is None:
cls = JSONEncoder
return cls(
skipkeys=skipkeys, ensure_ascii=ensure_ascii,
check_circular=check_circular, allow_nan=allow_nan, indent=indent,
separators=separators, encoding=encoding, default=default,
use_decimal=use_decimal, **kw).encode(obj)
_default_decoder = JSONDecoder(encoding=None, object_hook=None,
object_pairs_hook=None)
def load(fp, encoding=None, cls=None, object_hook=None, parse_float=None,
parse_int=None, parse_constant=None, object_pairs_hook=None,
use_decimal=False, **kw):
"""Deserialize ``fp`` (a ``.read()``-supporting file-like object containing
a JSON document) to a Python object.
*encoding* determines the encoding used to interpret any
:class:`str` objects decoded by this instance (``'utf-8'`` by
default). It has no effect when decoding :class:`unicode` objects.
Note that currently only encodings that are a superset of ASCII work,
strings of other encodings should be passed in as :class:`unicode`.
*object_hook*, if specified, will be called with the result of every
JSON object decoded and its return value will be used in place of the
given :class:`dict`. This can be used to provide custom
deserializations (e.g. to support JSON-RPC class hinting).
*object_pairs_hook* is an optional function that will be called with
the result of any object literal decode with an ordered list of pairs.
The return value of *object_pairs_hook* will be used instead of the
:class:`dict`. This feature can be used to implement custom decoders
that rely on the order that the key and value pairs are decoded (for
example, :func:`collections.OrderedDict` will remember the order of
insertion). If *object_hook* is also defined, the *object_pairs_hook*
takes priority.
*parse_float*, if specified, will be called with the string of every
JSON float to be decoded. By default, this is equivalent to
``float(num_str)``. This can be used to use another datatype or parser
for JSON floats (e.g. :class:`decimal.Decimal`).
*parse_int*, if specified, will be called with the string of every
JSON int to be decoded. By default, this is equivalent to
``int(num_str)``. This can be used to use another datatype or parser
for JSON integers (e.g. :class:`float`).
*parse_constant*, if specified, will be called with one of the
following strings: ``'-Infinity'``, ``'Infinity'``, ``'NaN'``. This
can be used to raise an exception if invalid JSON numbers are
encountered.
If *use_decimal* is true (default: ``False``) then it implies
parse_float=decimal.Decimal for parity with ``dump``.
To use a custom ``JSONDecoder`` subclass, specify it with the ``cls``
kwarg.
"""
return loads(fp.read(),
encoding=encoding, cls=cls, object_hook=object_hook,
parse_float=parse_float, parse_int=parse_int,
parse_constant=parse_constant, object_pairs_hook=object_pairs_hook,
use_decimal=use_decimal, **kw)
def loads(s, encoding=None, cls=None, object_hook=None, parse_float=None,
parse_int=None, parse_constant=None, object_pairs_hook=None,
use_decimal=False, **kw):
"""Deserialize ``s`` (a ``str`` or ``unicode`` instance containing a JSON
document) to a Python object.
*encoding* determines the encoding used to interpret any
:class:`str` objects decoded by this instance (``'utf-8'`` by
default). It has no effect when decoding :class:`unicode` objects.
Note that currently only encodings that are a superset of ASCII work,
strings of other encodings should be passed in as :class:`unicode`.
*object_hook*, if specified, will be called with the result of every
JSON object decoded and its return value will be used in place of the
given :class:`dict`. This can be used to provide custom
deserializations (e.g. to support JSON-RPC class hinting).
*object_pairs_hook* is an optional function that will be called with
the result of any object literal decode with an ordered list of pairs.
The return value of *object_pairs_hook* will be used instead of the
:class:`dict`. This feature can be used to implement custom decoders
that rely on the order that the key and value pairs are decoded (for
example, :func:`collections.OrderedDict` will remember the order of
insertion). If *object_hook* is also defined, the *object_pairs_hook*
takes priority.
*parse_float*, if specified, will be called with the string of every
JSON float to be decoded. By default, this is equivalent to
``float(num_str)``. This can be used to use another datatype or parser
for JSON floats (e.g. :class:`decimal.Decimal`).
*parse_int*, if specified, will be called with the string of every
JSON int to be decoded. By default, this is equivalent to
``int(num_str)``. This can be used to use another datatype or parser
for JSON integers (e.g. :class:`float`).
*parse_constant*, if specified, will be called with one of the
following strings: ``'-Infinity'``, ``'Infinity'``, ``'NaN'``. This
can be used to raise an exception if invalid JSON numbers are
encountered.
If *use_decimal* is true (default: ``False``) then it implies
parse_float=decimal.Decimal for parity with ``dump``.
To use a custom ``JSONDecoder`` subclass, specify it with the ``cls``
kwarg.
"""
if (cls is None and encoding is None and object_hook is None and
parse_int is None and parse_float is None and
parse_constant is None and object_pairs_hook is None
and not use_decimal and not kw):
return _default_decoder.decode(s)
if cls is None:
cls = JSONDecoder
if object_hook is not None:
kw['object_hook'] = object_hook
if object_pairs_hook is not None:
kw['object_pairs_hook'] = object_pairs_hook
if parse_float is not None:
kw['parse_float'] = parse_float
if parse_int is not None:
kw['parse_int'] = parse_int
if parse_constant is not None:
kw['parse_constant'] = parse_constant
if use_decimal:
if parse_float is not None:
raise TypeError("use_decimal=True implies parse_float=Decimal")
kw['parse_float'] = Decimal
return cls(encoding=encoding, **kw).decode(s)
def _toggle_speedups(enabled):
import simplejson.decoder as dec
import simplejson.encoder as enc
import simplejson.scanner as scan
c_make_encoder = _import_c_make_encoder()
if enabled:
dec.scanstring = dec.c_scanstring or dec.py_scanstring
enc.c_make_encoder = c_make_encoder
enc.encode_basestring_ascii = (enc.c_encode_basestring_ascii or
enc.py_encode_basestring_ascii)
scan.make_scanner = scan.c_make_scanner or scan.py_make_scanner
else:
dec.scanstring = dec.py_scanstring
enc.c_make_encoder = None
enc.encode_basestring_ascii = enc.py_encode_basestring_ascii
scan.make_scanner = scan.py_make_scanner
dec.make_scanner = scan.make_scanner
global _default_decoder
_default_decoder = JSONDecoder(
encoding=None,
object_hook=None,
object_pairs_hook=None,
)
global _default_encoder
_default_encoder = JSONEncoder(
skipkeys=False,
ensure_ascii=True,
check_circular=True,
allow_nan=True,
indent=None,
separators=None,
encoding='utf-8',
default=None,
)
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"""Implementation of JSONDecoder
"""
import re
import sys
import struct
from simplejson.scanner import make_scanner
def _import_c_scanstring():
try:
from simplejson._speedups import scanstring
return scanstring
except ImportError:
return None
c_scanstring = _import_c_scanstring()
__all__ = ['JSONDecoder']
FLAGS = re.VERBOSE | re.MULTILINE | re.DOTALL
def _floatconstants():
_BYTES = '7FF80000000000007FF0000000000000'.decode('hex')
# The struct module in Python 2.4 would get frexp() out of range here
# when an endian is specified in the format string. Fixed in Python 2.5+
if sys.byteorder != 'big':
_BYTES = _BYTES[:8][::-1] + _BYTES[8:][::-1]
nan, inf = struct.unpack('dd', _BYTES)
return nan, inf, -inf
NaN, PosInf, NegInf = _floatconstants()
class JSONDecodeError(ValueError):
"""Subclass of ValueError with the following additional properties:
msg: The unformatted error message
doc: The JSON document being parsed
pos: The start index of doc where parsing failed
end: The end index of doc where parsing failed (may be None)
lineno: The line corresponding to pos
colno: The column corresponding to pos
endlineno: The line corresponding to end (may be None)
endcolno: The column corresponding to end (may be None)
"""
def __init__(self, msg, doc, pos, end=None):
ValueError.__init__(self, errmsg(msg, doc, pos, end=end))
self.msg = msg
self.doc = doc
self.pos = pos
self.end = end
self.lineno, self.colno = linecol(doc, pos)
if end is not None:
self.endlineno, self.endcolno = linecol(doc, pos)
else:
self.endlineno, self.endcolno = None, None
def linecol(doc, pos):
lineno = doc.count('\n', 0, pos) + 1
if lineno == 1:
colno = pos
else:
colno = pos - doc.rindex('\n', 0, pos)
return lineno, colno
def errmsg(msg, doc, pos, end=None):
# Note that this function is called from _speedups
lineno, colno = linecol(doc, pos)
if end is None:
#fmt = '{0}: line {1} column {2} (char {3})'
#return fmt.format(msg, lineno, colno, pos)
fmt = '%s: line %d column %d (char %d)'
return fmt % (msg, lineno, colno, pos)
endlineno, endcolno = linecol(doc, end)
#fmt = '{0}: line {1} column {2} - line {3} column {4} (char {5} - {6})'
#return fmt.format(msg, lineno, colno, endlineno, endcolno, pos, end)
fmt = '%s: line %d column %d - line %d column %d (char %d - %d)'
return fmt % (msg, lineno, colno, endlineno, endcolno, pos, end)
_CONSTANTS = {
'-Infinity': NegInf,
'Infinity': PosInf,
'NaN': NaN,
}
STRINGCHUNK = re.compile(r'(.*?)(["\\\x00-\x1f])', FLAGS)
BACKSLASH = {
'"': u'"', '\\': u'\\', '/': u'/',
'b': u'\b', 'f': u'\f', 'n': u'\n', 'r': u'\r', 't': u'\t',
}
DEFAULT_ENCODING = "utf-8"
def py_scanstring(s, end, encoding=None, strict=True,
_b=BACKSLASH, _m=STRINGCHUNK.match):
"""Scan the string s for a JSON string. End is the index of the
character in s after the quote that started the JSON string.
Unescapes all valid JSON string escape sequences and raises ValueError
on attempt to decode an invalid string. If strict is False then literal
control characters are allowed in the string.
Returns a tuple of the decoded string and the index of the character in s
after the end quote."""
if encoding is None:
encoding = DEFAULT_ENCODING
chunks = []
_append = chunks.append
begin = end - 1
while 1:
chunk = _m(s, end)
if chunk is None:
raise JSONDecodeError(
"Unterminated string starting at", s, begin)
end = chunk.end()
content, terminator = chunk.groups()
# Content is contains zero or more unescaped string characters
if content:
if not isinstance(content, unicode):
content = unicode(content, encoding)
_append(content)
# Terminator is the end of string, a literal control character,
# or a backslash denoting that an escape sequence follows
if terminator == '"':
break
elif terminator != '\\':
if strict:
msg = "Invalid control character %r at" % (terminator,)
#msg = "Invalid control character {0!r} at".format(terminator)
raise JSONDecodeError(msg, s, end)
else:
_append(terminator)
continue
try:
esc = s[end]
except IndexError:
raise JSONDecodeError(
"Unterminated string starting at", s, begin)
# If not a unicode escape sequence, must be in the lookup table
if esc != 'u':
try:
char = _b[esc]
except KeyError:
msg = "Invalid \\escape: " + repr(esc)
raise JSONDecodeError(msg, s, end)
end += 1
else:
# Unicode escape sequence
esc = s[end + 1:end + 5]
next_end = end + 5
if len(esc) != 4:
msg = "Invalid \\uXXXX escape"
raise JSONDecodeError(msg, s, end)
uni = int(esc, 16)
# Check for surrogate pair on UCS-4 systems
if 0xd800 <= uni <= 0xdbff and sys.maxunicode > 65535:
msg = "Invalid \\uXXXX\\uXXXX surrogate pair"
if not s[end + 5:end + 7] == '\\u':
raise JSONDecodeError(msg, s, end)
esc2 = s[end + 7:end + 11]
if len(esc2) != 4:
raise JSONDecodeError(msg, s, end)
uni2 = int(esc2, 16)
uni = 0x10000 + (((uni - 0xd800) << 10) | (uni2 - 0xdc00))
next_end += 6
char = unichr(uni)
end = next_end
# Append the unescaped character
_append(char)
return u''.join(chunks), end
# Use speedup if available
scanstring = c_scanstring or py_scanstring
WHITESPACE = re.compile(r'[ \t\n\r]*', FLAGS)
WHITESPACE_STR = ' \t\n\r'
def JSONObject((s, end), encoding, strict, scan_once, object_hook,
object_pairs_hook, memo=None,
_w=WHITESPACE.match, _ws=WHITESPACE_STR):
# Backwards compatibility
if memo is None:
memo = {}
memo_get = memo.setdefault
pairs = []
# Use a slice to prevent IndexError from being raised, the following
# check will raise a more specific ValueError if the string is empty
nextchar = s[end:end + 1]
# Normally we expect nextchar == '"'
if nextchar != '"':
if nextchar in _ws:
end = _w(s, end).end()
nextchar = s[end:end + 1]
# Trivial empty object
if nextchar == '}':
if object_pairs_hook is not None:
result = object_pairs_hook(pairs)
return result, end
pairs = {}
if object_hook is not None:
pairs = object_hook(pairs)
return pairs, end + 1
elif nextchar != '"':
raise JSONDecodeError("Expecting property name", s, end)
end += 1
while True:
key, end = scanstring(s, end, encoding, strict)
key = memo_get(key, key)
# To skip some function call overhead we optimize the fast paths where
# the JSON key separator is ": " or just ":".
if s[end:end + 1] != ':':
end = _w(s, end).end()
if s[end:end + 1] != ':':
raise JSONDecodeError("Expecting : delimiter", s, end)
end += 1
try:
if s[end] in _ws:
end += 1
if s[end] in _ws:
end = _w(s, end + 1).end()
except IndexError:
pass
try:
value, end = scan_once(s, end)
except StopIteration:
raise JSONDecodeError("Expecting object", s, end)
pairs.append((key, value))
try:
nextchar = s[end]
if nextchar in _ws:
end = _w(s, end + 1).end()
nextchar = s[end]
except IndexError:
nextchar = ''
end += 1
if nextchar == '}':
break
elif nextchar != ',':
raise JSONDecodeError("Expecting , delimiter", s, end - 1)
try:
nextchar = s[end]
if nextchar in _ws:
end += 1
nextchar = s[end]
if nextchar in _ws:
end = _w(s, end + 1).end()
nextchar = s[end]
except IndexError:
nextchar = ''
end += 1
if nextchar != '"':
raise JSONDecodeError("Expecting property name", s, end - 1)
if object_pairs_hook is not None:
result = object_pairs_hook(pairs)
return result, end
pairs = dict(pairs)
if object_hook is not None:
pairs = object_hook(pairs)
return pairs, end
def JSONArray((s, end), scan_once, _w=WHITESPACE.match, _ws=WHITESPACE_STR):
values = []
nextchar = s[end:end + 1]
if nextchar in _ws:
end = _w(s, end + 1).end()
nextchar = s[end:end + 1]
# Look-ahead for trivial empty array
if nextchar == ']':
return values, end + 1
_append = values.append
while True:
try:
value, end = scan_once(s, end)
except StopIteration:
raise JSONDecodeError("Expecting object", s, end)
_append(value)
nextchar = s[end:end + 1]
if nextchar in _ws:
end = _w(s, end + 1).end()
nextchar = s[end:end + 1]
end += 1
if nextchar == ']':
break
elif nextchar != ',':
raise JSONDecodeError("Expecting , delimiter", s, end)
try:
if s[end] in _ws:
end += 1
if s[end] in _ws:
end = _w(s, end + 1).end()
except IndexError:
pass
return values, end
class JSONDecoder(object):
"""Simple JSON <http://json.org> decoder
Performs the following translations in decoding by default:
+---------------+-------------------+
| JSON | Python |
+===============+===================+
| object | dict |
+---------------+-------------------+
| array | list |
+---------------+-------------------+
| string | unicode |
+---------------+-------------------+
| number (int) | int, long |
+---------------+-------------------+
| number (real) | float |
+---------------+-------------------+
| true | True |
+---------------+-------------------+
| false | False |
+---------------+-------------------+
| null | None |
+---------------+-------------------+
It also understands ``NaN``, ``Infinity``, and ``-Infinity`` as
their corresponding ``float`` values, which is outside the JSON spec.
"""
def __init__(self, encoding=None, object_hook=None, parse_float=None,
parse_int=None, parse_constant=None, strict=True,
object_pairs_hook=None):
"""
*encoding* determines the encoding used to interpret any
:class:`str` objects decoded by this instance (``'utf-8'`` by
default). It has no effect when decoding :class:`unicode` objects.
Note that currently only encodings that are a superset of ASCII work,
strings of other encodings should be passed in as :class:`unicode`.
*object_hook*, if specified, will be called with the result of every
JSON object decoded and its return value will be used in place of the
given :class:`dict`. This can be used to provide custom
deserializations (e.g. to support JSON-RPC class hinting).
*object_pairs_hook* is an optional function that will be called with
the result of any object literal decode with an ordered list of pairs.
The return value of *object_pairs_hook* will be used instead of the
:class:`dict`. This feature can be used to implement custom decoders
that rely on the order that the key and value pairs are decoded (for
example, :func:`collections.OrderedDict` will remember the order of
insertion). If *object_hook* is also defined, the *object_pairs_hook*
takes priority.
*parse_float*, if specified, will be called with the string of every
JSON float to be decoded. By default, this is equivalent to
``float(num_str)``. This can be used to use another datatype or parser
for JSON floats (e.g. :class:`decimal.Decimal`).
*parse_int*, if specified, will be called with the string of every
JSON int to be decoded. By default, this is equivalent to
``int(num_str)``. This can be used to use another datatype or parser
for JSON integers (e.g. :class:`float`).
*parse_constant*, if specified, will be called with one of the
following strings: ``'-Infinity'``, ``'Infinity'``, ``'NaN'``. This
can be used to raise an exception if invalid JSON numbers are
encountered.
*strict* controls the parser's behavior when it encounters an
invalid control character in a string. The default setting of
``True`` means that unescaped control characters are parse errors, if
``False`` then control characters will be allowed in strings.
"""
self.encoding = encoding
self.object_hook = object_hook
self.object_pairs_hook = object_pairs_hook
self.parse_float = parse_float or float
self.parse_int = parse_int or int
self.parse_constant = parse_constant or _CONSTANTS.__getitem__
self.strict = strict
self.parse_object = JSONObject
self.parse_array = JSONArray
self.parse_string = scanstring
self.memo = {}
self.scan_once = make_scanner(self)
def decode(self, s, _w=WHITESPACE.match):
"""Return the Python representation of ``s`` (a ``str`` or ``unicode``
instance containing a JSON document)
"""
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
end = _w(s, end).end()
if end != len(s):
raise JSONDecodeError("Extra data", s, end, len(s))
return obj
def raw_decode(self, s, idx=0):
"""Decode a JSON document from ``s`` (a ``str`` or ``unicode``
beginning with a JSON document) and return a 2-tuple of the Python
representation and the index in ``s`` where the document ended.
This can be used to decode a JSON document from a string that may
have extraneous data at the end.
"""
try:
obj, end = self.scan_once(s, idx)
except StopIteration:
raise JSONDecodeError("No JSON object could be decoded", s, idx)
return obj, end
-501
View File
@@ -1,501 +0,0 @@
"""Implementation of JSONEncoder
"""
import re
from decimal import Decimal
def _import_speedups():
try:
from simplejson import _speedups
return _speedups.encode_basestring_ascii, _speedups.make_encoder
except ImportError:
return None, None
c_encode_basestring_ascii, c_make_encoder = _import_speedups()
from simplejson.decoder import PosInf
ESCAPE = re.compile(r'[\x00-\x1f\\"\b\f\n\r\t]')
ESCAPE_ASCII = re.compile(r'([\\"]|[^\ -~])')
HAS_UTF8 = re.compile(r'[\x80-\xff]')
ESCAPE_DCT = {
'\\': '\\\\',
'"': '\\"',
'\b': '\\b',
'\f': '\\f',
'\n': '\\n',
'\r': '\\r',
'\t': '\\t',
}
for i in range(0x20):
#ESCAPE_DCT.setdefault(chr(i), '\\u{0:04x}'.format(i))
ESCAPE_DCT.setdefault(chr(i), '\\u%04x' % (i,))
FLOAT_REPR = repr
def encode_basestring(s):
"""Return a JSON representation of a Python string
"""
if isinstance(s, str) and HAS_UTF8.search(s) is not None:
s = s.decode('utf-8')
def replace(match):
return ESCAPE_DCT[match.group(0)]
return u'"' + ESCAPE.sub(replace, s) + u'"'
def py_encode_basestring_ascii(s):
"""Return an ASCII-only JSON representation of a Python string
"""
if isinstance(s, str) and HAS_UTF8.search(s) is not None:
s = s.decode('utf-8')
def replace(match):
s = match.group(0)
try:
return ESCAPE_DCT[s]
except KeyError:
n = ord(s)
if n < 0x10000:
#return '\\u{0:04x}'.format(n)
return '\\u%04x' % (n,)
else:
# surrogate pair
n -= 0x10000
s1 = 0xd800 | ((n >> 10) & 0x3ff)
s2 = 0xdc00 | (n & 0x3ff)
#return '\\u{0:04x}\\u{1:04x}'.format(s1, s2)
return '\\u%04x\\u%04x' % (s1, s2)
return '"' + str(ESCAPE_ASCII.sub(replace, s)) + '"'
encode_basestring_ascii = (
c_encode_basestring_ascii or py_encode_basestring_ascii)
class JSONEncoder(object):
"""Extensible JSON <http://json.org> encoder for Python data structures.
Supports the following objects and types by default:
+-------------------+---------------+
| Python | JSON |
+===================+===============+
| dict | object |
+-------------------+---------------+
| list, tuple | array |
+-------------------+---------------+
| str, unicode | string |
+-------------------+---------------+
| int, long, float | number |
+-------------------+---------------+
| True | true |
+-------------------+---------------+
| False | false |
+-------------------+---------------+
| None | null |
+-------------------+---------------+
To extend this to recognize other objects, subclass and implement a
``.default()`` method with another method that returns a serializable
object for ``o`` if possible, otherwise it should call the superclass
implementation (to raise ``TypeError``).
"""
item_separator = ', '
key_separator = ': '
def __init__(self, skipkeys=False, ensure_ascii=True,
check_circular=True, allow_nan=True, sort_keys=False,
indent=None, separators=None, encoding='utf-8', default=None,
use_decimal=False):
"""Constructor for JSONEncoder, with sensible defaults.
If skipkeys is false, then it is a TypeError to attempt
encoding of keys that are not str, int, long, float or None. If
skipkeys is True, such items are simply skipped.
If ensure_ascii is true, the output is guaranteed to be str
objects with all incoming unicode characters escaped. If
ensure_ascii is false, the output will be unicode object.
If check_circular is true, then lists, dicts, and custom encoded
objects will be checked for circular references during encoding to
prevent an infinite recursion (which would cause an OverflowError).
Otherwise, no such check takes place.
If allow_nan is true, then NaN, Infinity, and -Infinity will be
encoded as such. This behavior is not JSON specification compliant,
but is consistent with most JavaScript based encoders and decoders.
Otherwise, it will be a ValueError to encode such floats.
If sort_keys is true, then the output of dictionaries will be
sorted by key; this is useful for regression tests to ensure
that JSON serializations can be compared on a day-to-day basis.
If indent is a string, then JSON array elements and object members
will be pretty-printed with a newline followed by that string repeated
for each level of nesting. ``None`` (the default) selects the most compact
representation without any newlines. For backwards compatibility with
versions of simplejson earlier than 2.1.0, an integer is also accepted
and is converted to a string with that many spaces.
If specified, separators should be a (item_separator, key_separator)
tuple. The default is (', ', ': '). To get the most compact JSON
representation you should specify (',', ':') to eliminate whitespace.
If specified, default is a function that gets called for objects
that can't otherwise be serialized. It should return a JSON encodable
version of the object or raise a ``TypeError``.
If encoding is not None, then all input strings will be
transformed into unicode using that encoding prior to JSON-encoding.
The default is UTF-8.
If use_decimal is true (not the default), ``decimal.Decimal`` will
be supported directly by the encoder. For the inverse, decode JSON
with ``parse_float=decimal.Decimal``.
"""
self.skipkeys = skipkeys
self.ensure_ascii = ensure_ascii
self.check_circular = check_circular
self.allow_nan = allow_nan
self.sort_keys = sort_keys
self.use_decimal = use_decimal
if isinstance(indent, (int, long)):
indent = ' ' * indent
self.indent = indent
if separators is not None:
self.item_separator, self.key_separator = separators
if default is not None:
self.default = default
self.encoding = encoding
def default(self, o):
"""Implement this method in a subclass such that it returns
a serializable object for ``o``, or calls the base implementation
(to raise a ``TypeError``).
For example, to support arbitrary iterators, you could
implement default like this::
def default(self, o):
try:
iterable = iter(o)
except TypeError:
pass
else:
return list(iterable)
return JSONEncoder.default(self, o)
"""
raise TypeError(repr(o) + " is not JSON serializable")
def encode(self, o):
"""Return a JSON string representation of a Python data structure.
>>> from simplejson import JSONEncoder
>>> JSONEncoder().encode({"foo": ["bar", "baz"]})
'{"foo": ["bar", "baz"]}'
"""
# This is for extremely simple cases and benchmarks.
if isinstance(o, basestring):
if isinstance(o, str):
_encoding = self.encoding
if (_encoding is not None
and not (_encoding == 'utf-8')):
o = o.decode(_encoding)
if self.ensure_ascii:
return encode_basestring_ascii(o)
else:
return encode_basestring(o)
# This doesn't pass the iterator directly to ''.join() because the
# exceptions aren't as detailed. The list call should be roughly
# equivalent to the PySequence_Fast that ''.join() would do.
chunks = self.iterencode(o, _one_shot=True)
if not isinstance(chunks, (list, tuple)):
chunks = list(chunks)
if self.ensure_ascii:
return ''.join(chunks)
else:
return u''.join(chunks)
def iterencode(self, o, _one_shot=False):
"""Encode the given object and yield each string
representation as available.
For example::
for chunk in JSONEncoder().iterencode(bigobject):
mysocket.write(chunk)
"""
if self.check_circular:
markers = {}
else:
markers = None
if self.ensure_ascii:
_encoder = encode_basestring_ascii
else:
_encoder = encode_basestring
if self.encoding != 'utf-8':
def _encoder(o, _orig_encoder=_encoder, _encoding=self.encoding):
if isinstance(o, str):
o = o.decode(_encoding)
return _orig_encoder(o)
def floatstr(o, allow_nan=self.allow_nan,
_repr=FLOAT_REPR, _inf=PosInf, _neginf=-PosInf):
# Check for specials. Note that this type of test is processor
# and/or platform-specific, so do tests which don't depend on
# the internals.
if o != o:
text = 'NaN'
elif o == _inf:
text = 'Infinity'
elif o == _neginf:
text = '-Infinity'
else:
return _repr(o)
if not allow_nan:
raise ValueError(
"Out of range float values are not JSON compliant: " +
repr(o))
return text
key_memo = {}
if (_one_shot and c_make_encoder is not None
and not self.indent and not self.sort_keys):
_iterencode = c_make_encoder(
markers, self.default, _encoder, self.indent,
self.key_separator, self.item_separator, self.sort_keys,
self.skipkeys, self.allow_nan, key_memo, self.use_decimal)
else:
_iterencode = _make_iterencode(
markers, self.default, _encoder, self.indent, floatstr,
self.key_separator, self.item_separator, self.sort_keys,
self.skipkeys, _one_shot, self.use_decimal)
try:
return _iterencode(o, 0)
finally:
key_memo.clear()
class JSONEncoderForHTML(JSONEncoder):
"""An encoder that produces JSON safe to embed in HTML.
To embed JSON content in, say, a script tag on a web page, the
characters &, < and > should be escaped. They cannot be escaped
with the usual entities (e.g. &amp;) because they are not expanded
within <script> tags.
"""
def encode(self, o):
# Override JSONEncoder.encode because it has hacks for
# performance that make things more complicated.
chunks = self.iterencode(o, True)
if self.ensure_ascii:
return ''.join(chunks)
else:
return u''.join(chunks)
def iterencode(self, o, _one_shot=False):
chunks = super(JSONEncoderForHTML, self).iterencode(o, _one_shot)
for chunk in chunks:
chunk = chunk.replace('&', '\\u0026')
chunk = chunk.replace('<', '\\u003c')
chunk = chunk.replace('>', '\\u003e')
yield chunk
def _make_iterencode(markers, _default, _encoder, _indent, _floatstr,
_key_separator, _item_separator, _sort_keys, _skipkeys, _one_shot,
_use_decimal,
## HACK: hand-optimized bytecode; turn globals into locals
False=False,
True=True,
ValueError=ValueError,
basestring=basestring,
Decimal=Decimal,
dict=dict,
float=float,
id=id,
int=int,
isinstance=isinstance,
list=list,
long=long,
str=str,
tuple=tuple,
):
def _iterencode_list(lst, _current_indent_level):
if not lst:
yield '[]'
return
if markers is not None:
markerid = id(lst)
if markerid in markers:
raise ValueError("Circular reference detected")
markers[markerid] = lst
buf = '['
if _indent is not None:
_current_indent_level += 1
newline_indent = '\n' + (_indent * _current_indent_level)
separator = _item_separator + newline_indent
buf += newline_indent
else:
newline_indent = None
separator = _item_separator
first = True
for value in lst:
if first:
first = False
else:
buf = separator
if isinstance(value, basestring):
yield buf + _encoder(value)
elif value is None:
yield buf + 'null'
elif value is True:
yield buf + 'true'
elif value is False:
yield buf + 'false'
elif isinstance(value, (int, long)):
yield buf + str(value)
elif isinstance(value, float):
yield buf + _floatstr(value)
elif _use_decimal and isinstance(value, Decimal):
yield buf + str(value)
else:
yield buf
if isinstance(value, (list, tuple)):
chunks = _iterencode_list(value, _current_indent_level)
elif isinstance(value, dict):
chunks = _iterencode_dict(value, _current_indent_level)
else:
chunks = _iterencode(value, _current_indent_level)
for chunk in chunks:
yield chunk
if newline_indent is not None:
_current_indent_level -= 1
yield '\n' + (_indent * _current_indent_level)
yield ']'
if markers is not None:
del markers[markerid]
def _iterencode_dict(dct, _current_indent_level):
if not dct:
yield '{}'
return
if markers is not None:
markerid = id(dct)
if markerid in markers:
raise ValueError("Circular reference detected")
markers[markerid] = dct
yield '{'
if _indent is not None:
_current_indent_level += 1
newline_indent = '\n' + (_indent * _current_indent_level)
item_separator = _item_separator + newline_indent
yield newline_indent
else:
newline_indent = None
item_separator = _item_separator
first = True
if _sort_keys:
items = dct.items()
items.sort(key=lambda kv: kv[0])
else:
items = dct.iteritems()
for key, value in items:
if isinstance(key, basestring):
pass
# JavaScript is weakly typed for these, so it makes sense to
# also allow them. Many encoders seem to do something like this.
elif isinstance(key, float):
key = _floatstr(key)
elif key is True:
key = 'true'
elif key is False:
key = 'false'
elif key is None:
key = 'null'
elif isinstance(key, (int, long)):
key = str(key)
elif _skipkeys:
continue
else:
raise TypeError("key " + repr(key) + " is not a string")
if first:
first = False
else:
yield item_separator
yield _encoder(key)
yield _key_separator
if isinstance(value, basestring):
yield _encoder(value)
elif value is None:
yield 'null'
elif value is True:
yield 'true'
elif value is False:
yield 'false'
elif isinstance(value, (int, long)):
yield str(value)
elif isinstance(value, float):
yield _floatstr(value)
elif _use_decimal and isinstance(value, Decimal):
yield str(value)
else:
if isinstance(value, (list, tuple)):
chunks = _iterencode_list(value, _current_indent_level)
elif isinstance(value, dict):
chunks = _iterencode_dict(value, _current_indent_level)
else:
chunks = _iterencode(value, _current_indent_level)
for chunk in chunks:
yield chunk
if newline_indent is not None:
_current_indent_level -= 1
yield '\n' + (_indent * _current_indent_level)
yield '}'
if markers is not None:
del markers[markerid]
def _iterencode(o, _current_indent_level):
if isinstance(o, basestring):
yield _encoder(o)
elif o is None:
yield 'null'
elif o is True:
yield 'true'
elif o is False:
yield 'false'
elif isinstance(o, (int, long)):
yield str(o)
elif isinstance(o, float):
yield _floatstr(o)
elif isinstance(o, (list, tuple)):
for chunk in _iterencode_list(o, _current_indent_level):
yield chunk
elif isinstance(o, dict):
for chunk in _iterencode_dict(o, _current_indent_level):
yield chunk
elif _use_decimal and isinstance(o, Decimal):
yield str(o)
else:
if markers is not None:
markerid = id(o)
if markerid in markers:
raise ValueError("Circular reference detected")
markers[markerid] = o
o = _default(o)
for chunk in _iterencode(o, _current_indent_level):
yield chunk
if markers is not None:
del markers[markerid]
return _iterencode
-77
View File
@@ -1,77 +0,0 @@
"""JSON token scanner
"""
import re
def _import_c_make_scanner():
try:
from simplejson._speedups import make_scanner
return make_scanner
except ImportError:
return None
c_make_scanner = _import_c_make_scanner()
__all__ = ['make_scanner']
NUMBER_RE = re.compile(
r'(-?(?:0|[1-9]\d*))(\.\d+)?([eE][-+]?\d+)?',
(re.VERBOSE | re.MULTILINE | re.DOTALL))
def py_make_scanner(context):
parse_object = context.parse_object
parse_array = context.parse_array
parse_string = context.parse_string
match_number = NUMBER_RE.match
encoding = context.encoding
strict = context.strict
parse_float = context.parse_float
parse_int = context.parse_int
parse_constant = context.parse_constant
object_hook = context.object_hook
object_pairs_hook = context.object_pairs_hook
memo = context.memo
def _scan_once(string, idx):
try:
nextchar = string[idx]
except IndexError:
raise StopIteration
if nextchar == '"':
return parse_string(string, idx + 1, encoding, strict)
elif nextchar == '{':
return parse_object((string, idx + 1), encoding, strict,
_scan_once, object_hook, object_pairs_hook, memo)
elif nextchar == '[':
return parse_array((string, idx + 1), _scan_once)
elif nextchar == 'n' and string[idx:idx + 4] == 'null':
return None, idx + 4
elif nextchar == 't' and string[idx:idx + 4] == 'true':
return True, idx + 4
elif nextchar == 'f' and string[idx:idx + 5] == 'false':
return False, idx + 5
m = match_number(string, idx)
if m is not None:
integer, frac, exp = m.groups()
if frac or exp:
res = parse_float(integer + (frac or '') + (exp or ''))
else:
res = parse_int(integer)
return res, m.end()
elif nextchar == 'N' and string[idx:idx + 3] == 'NaN':
return parse_constant('NaN'), idx + 3
elif nextchar == 'I' and string[idx:idx + 8] == 'Infinity':
return parse_constant('Infinity'), idx + 8
elif nextchar == '-' and string[idx:idx + 9] == '-Infinity':
return parse_constant('-Infinity'), idx + 9
else:
raise StopIteration
def scan_once(string, idx):
try:
return _scan_once(string, idx)
finally:
memo.clear()
return scan_once
make_scanner = c_make_scanner or py_make_scanner
@@ -1,63 +0,0 @@
import unittest
import doctest
class OptionalExtensionTestSuite(unittest.TestSuite):
def run(self, result):
import simplejson
run = unittest.TestSuite.run
run(self, result)
simplejson._toggle_speedups(False)
run(self, result)
simplejson._toggle_speedups(True)
return result
def additional_tests(suite=None):
import simplejson
import simplejson.encoder
import simplejson.decoder
if suite is None:
suite = unittest.TestSuite()
for mod in (simplejson, simplejson.encoder, simplejson.decoder):
suite.addTest(doctest.DocTestSuite(mod))
suite.addTest(doctest.DocFileSuite('../../index.rst'))
return suite
def all_tests_suite():
suite = unittest.TestLoader().loadTestsFromNames([
'simplejson.tests.test_check_circular',
'simplejson.tests.test_decode',
'simplejson.tests.test_default',
'simplejson.tests.test_dump',
'simplejson.tests.test_encode_basestring_ascii',
'simplejson.tests.test_encode_for_html',
'simplejson.tests.test_fail',
'simplejson.tests.test_float',
'simplejson.tests.test_indent',
'simplejson.tests.test_pass1',
'simplejson.tests.test_pass2',
'simplejson.tests.test_pass3',
'simplejson.tests.test_recursion',
'simplejson.tests.test_scanstring',
'simplejson.tests.test_separators',
'simplejson.tests.test_speedups',
'simplejson.tests.test_unicode',
'simplejson.tests.test_decimal',
])
suite = additional_tests(suite)
return OptionalExtensionTestSuite([suite])
def main():
runner = unittest.TextTestRunner()
suite = all_tests_suite()
runner.run(suite)
if __name__ == '__main__':
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
main()
@@ -1,30 +0,0 @@
from unittest import TestCase
import simplejson as json
def default_iterable(obj):
return list(obj)
class TestCheckCircular(TestCase):
def test_circular_dict(self):
dct = {}
dct['a'] = dct
self.assertRaises(ValueError, json.dumps, dct)
def test_circular_list(self):
lst = []
lst.append(lst)
self.assertRaises(ValueError, json.dumps, lst)
def test_circular_composite(self):
dct2 = {}
dct2['a'] = []
dct2['a'].append(dct2)
self.assertRaises(ValueError, json.dumps, dct2)
def test_circular_default(self):
json.dumps([set()], default=default_iterable)
self.assertRaises(TypeError, json.dumps, [set()])
def test_circular_off_default(self):
json.dumps([set()], default=default_iterable, check_circular=False)
self.assertRaises(TypeError, json.dumps, [set()], check_circular=False)
@@ -1,33 +0,0 @@
from decimal import Decimal
from unittest import TestCase
import simplejson as json
class TestDecimal(TestCase):
NUMS = "1.0", "10.00", "1.1", "1234567890.1234567890", "500"
def test_decimal_encode(self):
for d in map(Decimal, self.NUMS):
self.assertEquals(json.dumps(d, use_decimal=True), str(d))
def test_decimal_decode(self):
for s in self.NUMS:
self.assertEquals(json.loads(s, parse_float=Decimal), Decimal(s))
def test_decimal_roundtrip(self):
for d in map(Decimal, self.NUMS):
# The type might not be the same (int and Decimal) but they
# should still compare equal.
self.assertEquals(
json.loads(
json.dumps(d, use_decimal=True), parse_float=Decimal),
d)
self.assertEquals(
json.loads(
json.dumps([d], use_decimal=True), parse_float=Decimal),
[d])
def test_decimal_defaults(self):
d = Decimal(1)
# use_decimal=False is the default
self.assertRaises(TypeError, json.dumps, d, use_decimal=False)
self.assertRaises(TypeError, json.dumps, d)
@@ -1,73 +0,0 @@
import decimal
from unittest import TestCase
from StringIO import StringIO
import simplejson as json
from simplejson import OrderedDict
class TestDecode(TestCase):
if not hasattr(TestCase, 'assertIs'):
def assertIs(self, a, b):
self.assertTrue(a is b, '%r is %r' % (a, b))
def test_decimal(self):
rval = json.loads('1.1', parse_float=decimal.Decimal)
self.assertTrue(isinstance(rval, decimal.Decimal))
self.assertEquals(rval, decimal.Decimal('1.1'))
def test_float(self):
rval = json.loads('1', parse_int=float)
self.assertTrue(isinstance(rval, float))
self.assertEquals(rval, 1.0)
def test_decoder_optimizations(self):
# Several optimizations were made that skip over calls to
# the whitespace regex, so this test is designed to try and
# exercise the uncommon cases. The array cases are already covered.
rval = json.loads('{ "key" : "value" , "k":"v" }')
self.assertEquals(rval, {"key":"value", "k":"v"})
def test_empty_objects(self):
s = '{}'
self.assertEqual(json.loads(s), eval(s))
s = '[]'
self.assertEqual(json.loads(s), eval(s))
s = '""'
self.assertEqual(json.loads(s), eval(s))
def test_object_pairs_hook(self):
s = '{"xkd":1, "kcw":2, "art":3, "hxm":4, "qrt":5, "pad":6, "hoy":7}'
p = [("xkd", 1), ("kcw", 2), ("art", 3), ("hxm", 4),
("qrt", 5), ("pad", 6), ("hoy", 7)]
self.assertEqual(json.loads(s), eval(s))
self.assertEqual(json.loads(s, object_pairs_hook=lambda x: x), p)
self.assertEqual(json.load(StringIO(s),
object_pairs_hook=lambda x: x), p)
od = json.loads(s, object_pairs_hook=OrderedDict)
self.assertEqual(od, OrderedDict(p))
self.assertEqual(type(od), OrderedDict)
# the object_pairs_hook takes priority over the object_hook
self.assertEqual(json.loads(s,
object_pairs_hook=OrderedDict,
object_hook=lambda x: None),
OrderedDict(p))
def check_keys_reuse(self, source, loads):
rval = loads(source)
(a, b), (c, d) = sorted(rval[0]), sorted(rval[1])
self.assertIs(a, c)
self.assertIs(b, d)
def test_keys_reuse_str(self):
s = u'[{"a_key": 1, "b_\xe9": 2}, {"a_key": 3, "b_\xe9": 4}]'.encode('utf8')
self.check_keys_reuse(s, json.loads)
def test_keys_reuse_unicode(self):
s = u'[{"a_key": 1, "b_\xe9": 2}, {"a_key": 3, "b_\xe9": 4}]'
self.check_keys_reuse(s, json.loads)
def test_empty_strings(self):
self.assertEqual(json.loads('""'), "")
self.assertEqual(json.loads(u'""'), u"")
self.assertEqual(json.loads('[""]'), [""])
self.assertEqual(json.loads(u'[""]'), [u""])
@@ -1,9 +0,0 @@
from unittest import TestCase
import simplejson as json
class TestDefault(TestCase):
def test_default(self):
self.assertEquals(
json.dumps(type, default=repr),
json.dumps(repr(type)))
@@ -1,27 +0,0 @@
from unittest import TestCase
from cStringIO import StringIO
import simplejson as json
class TestDump(TestCase):
def test_dump(self):
sio = StringIO()
json.dump({}, sio)
self.assertEquals(sio.getvalue(), '{}')
def test_dumps(self):
self.assertEquals(json.dumps({}), '{}')
def test_encode_truefalse(self):
self.assertEquals(json.dumps(
{True: False, False: True}, sort_keys=True),
'{"false": true, "true": false}')
self.assertEquals(json.dumps(
{2: 3.0, 4.0: 5L, False: 1, 6L: True, "7": 0}, sort_keys=True),
'{"false": 1, "2": 3.0, "4.0": 5, "6": true, "7": 0}')
def test_ordered_dict(self):
# http://bugs.python.org/issue6105
items = [('one', 1), ('two', 2), ('three', 3), ('four', 4), ('five', 5)]
s = json.dumps(json.OrderedDict(items))
self.assertEqual(s, '{"one": 1, "two": 2, "three": 3, "four": 4, "five": 5}')
@@ -1,41 +0,0 @@
from unittest import TestCase
import simplejson.encoder
CASES = [
(u'/\\"\ucafe\ubabe\uab98\ufcde\ubcda\uef4a\x08\x0c\n\r\t`1~!@#$%^&*()_+-=[]{}|;:\',./<>?', '"/\\\\\\"\\ucafe\\ubabe\\uab98\\ufcde\\ubcda\\uef4a\\b\\f\\n\\r\\t`1~!@#$%^&*()_+-=[]{}|;:\',./<>?"'),
(u'\u0123\u4567\u89ab\ucdef\uabcd\uef4a', '"\\u0123\\u4567\\u89ab\\ucdef\\uabcd\\uef4a"'),
(u'controls', '"controls"'),
(u'\x08\x0c\n\r\t', '"\\b\\f\\n\\r\\t"'),
(u'{"object with 1 member":["array with 1 element"]}', '"{\\"object with 1 member\\":[\\"array with 1 element\\"]}"'),
(u' s p a c e d ', '" s p a c e d "'),
(u'\U0001d120', '"\\ud834\\udd20"'),
(u'\u03b1\u03a9', '"\\u03b1\\u03a9"'),
('\xce\xb1\xce\xa9', '"\\u03b1\\u03a9"'),
(u'\u03b1\u03a9', '"\\u03b1\\u03a9"'),
('\xce\xb1\xce\xa9', '"\\u03b1\\u03a9"'),
(u'\u03b1\u03a9', '"\\u03b1\\u03a9"'),
(u'\u03b1\u03a9', '"\\u03b1\\u03a9"'),
(u"`1~!@#$%^&*()_+-={':[,]}|;.</>?", '"`1~!@#$%^&*()_+-={\':[,]}|;.</>?"'),
(u'\x08\x0c\n\r\t', '"\\b\\f\\n\\r\\t"'),
(u'\u0123\u4567\u89ab\ucdef\uabcd\uef4a', '"\\u0123\\u4567\\u89ab\\ucdef\\uabcd\\uef4a"'),
]
class TestEncodeBaseStringAscii(TestCase):
def test_py_encode_basestring_ascii(self):
self._test_encode_basestring_ascii(simplejson.encoder.py_encode_basestring_ascii)
def test_c_encode_basestring_ascii(self):
if not simplejson.encoder.c_encode_basestring_ascii:
return
self._test_encode_basestring_ascii(simplejson.encoder.c_encode_basestring_ascii)
def _test_encode_basestring_ascii(self, encode_basestring_ascii):
fname = encode_basestring_ascii.__name__
for input_string, expect in CASES:
result = encode_basestring_ascii(input_string)
#self.assertEquals(result, expect,
# '{0!r} != {1!r} for {2}({3!r})'.format(
# result, expect, fname, input_string))
self.assertEquals(result, expect,
'%r != %r for %s(%r)' % (result, expect, fname, input_string))
@@ -1,32 +0,0 @@
import unittest
import simplejson.decoder
import simplejson.encoder
class TestEncodeForHTML(unittest.TestCase):
def setUp(self):
self.decoder = simplejson.decoder.JSONDecoder()
self.encoder = simplejson.encoder.JSONEncoderForHTML()
def test_basic_encode(self):
self.assertEqual(r'"\u0026"', self.encoder.encode('&'))
self.assertEqual(r'"\u003c"', self.encoder.encode('<'))
self.assertEqual(r'"\u003e"', self.encoder.encode('>'))
def test_basic_roundtrip(self):
for char in '&<>':
self.assertEqual(
char, self.decoder.decode(
self.encoder.encode(char)))
def test_prevent_script_breakout(self):
bad_string = '</script><script>alert("gotcha")</script>'
self.assertEqual(
r'"\u003c/script\u003e\u003cscript\u003e'
r'alert(\"gotcha\")\u003c/script\u003e"',
self.encoder.encode(bad_string))
self.assertEqual(
bad_string, self.decoder.decode(
self.encoder.encode(bad_string)))
@@ -1,91 +0,0 @@
from unittest import TestCase
import simplejson as json
# Fri Dec 30 18:57:26 2005
JSONDOCS = [
# http://json.org/JSON_checker/test/fail1.json
'"A JSON payload should be an object or array, not a string."',
# http://json.org/JSON_checker/test/fail2.json
'["Unclosed array"',
# http://json.org/JSON_checker/test/fail3.json
'{unquoted_key: "keys must be quoted}',
# http://json.org/JSON_checker/test/fail4.json
'["extra comma",]',
# http://json.org/JSON_checker/test/fail5.json
'["double extra comma",,]',
# http://json.org/JSON_checker/test/fail6.json
'[ , "<-- missing value"]',
# http://json.org/JSON_checker/test/fail7.json
'["Comma after the close"],',
# http://json.org/JSON_checker/test/fail8.json
'["Extra close"]]',
# http://json.org/JSON_checker/test/fail9.json
'{"Extra comma": true,}',
# http://json.org/JSON_checker/test/fail10.json
'{"Extra value after close": true} "misplaced quoted value"',
# http://json.org/JSON_checker/test/fail11.json
'{"Illegal expression": 1 + 2}',
# http://json.org/JSON_checker/test/fail12.json
'{"Illegal invocation": alert()}',
# http://json.org/JSON_checker/test/fail13.json
'{"Numbers cannot have leading zeroes": 013}',
# http://json.org/JSON_checker/test/fail14.json
'{"Numbers cannot be hex": 0x14}',
# http://json.org/JSON_checker/test/fail15.json
'["Illegal backslash escape: \\x15"]',
# http://json.org/JSON_checker/test/fail16.json
'["Illegal backslash escape: \\\'"]',
# http://json.org/JSON_checker/test/fail17.json
'["Illegal backslash escape: \\017"]',
# http://json.org/JSON_checker/test/fail18.json
'[[[[[[[[[[[[[[[[[[[["Too deep"]]]]]]]]]]]]]]]]]]]]',
# http://json.org/JSON_checker/test/fail19.json
'{"Missing colon" null}',
# http://json.org/JSON_checker/test/fail20.json
'{"Double colon":: null}',
# http://json.org/JSON_checker/test/fail21.json
'{"Comma instead of colon", null}',
# http://json.org/JSON_checker/test/fail22.json
'["Colon instead of comma": false]',
# http://json.org/JSON_checker/test/fail23.json
'["Bad value", truth]',
# http://json.org/JSON_checker/test/fail24.json
"['single quote']",
# http://code.google.com/p/simplejson/issues/detail?id=3
u'["A\u001FZ control characters in string"]',
]
SKIPS = {
1: "why not have a string payload?",
18: "spec doesn't specify any nesting limitations",
}
class TestFail(TestCase):
def test_failures(self):
for idx, doc in enumerate(JSONDOCS):
idx = idx + 1
if idx in SKIPS:
json.loads(doc)
continue
try:
json.loads(doc)
except json.JSONDecodeError:
pass
else:
#self.fail("Expected failure for fail{0}.json: {1!r}".format(idx, doc))
self.fail("Expected failure for fail%d.json: %r" % (idx, doc))
def test_array_decoder_issue46(self):
# http://code.google.com/p/simplejson/issues/detail?id=46
for doc in [u'[,]', '[,]']:
try:
json.loads(doc)
except json.JSONDecodeError, e:
self.assertEquals(e.pos, 1)
self.assertEquals(e.lineno, 1)
self.assertEquals(e.colno, 1)
except Exception, e:
self.fail("Unexpected exception raised %r %s" % (e, e))
else:
self.fail("Unexpected success parsing '[,]'")
@@ -1,19 +0,0 @@
import math
from unittest import TestCase
import simplejson as json
class TestFloat(TestCase):
def test_floats(self):
for num in [1617161771.7650001, math.pi, math.pi**100,
math.pi**-100, 3.1]:
self.assertEquals(float(json.dumps(num)), num)
self.assertEquals(json.loads(json.dumps(num)), num)
self.assertEquals(json.loads(unicode(json.dumps(num))), num)
def test_ints(self):
for num in [1, 1L, 1<<32, 1<<64]:
self.assertEquals(json.dumps(num), str(num))
self.assertEquals(int(json.dumps(num)), num)
self.assertEquals(json.loads(json.dumps(num)), num)
self.assertEquals(json.loads(unicode(json.dumps(num))), num)
@@ -1,53 +0,0 @@
from unittest import TestCase
import simplejson as json
import textwrap
class TestIndent(TestCase):
def test_indent(self):
h = [['blorpie'], ['whoops'], [], 'd-shtaeou', 'd-nthiouh',
'i-vhbjkhnth',
{'nifty': 87}, {'field': 'yes', 'morefield': False} ]
expect = textwrap.dedent("""\
[
\t[
\t\t"blorpie"
\t],
\t[
\t\t"whoops"
\t],
\t[],
\t"d-shtaeou",
\t"d-nthiouh",
\t"i-vhbjkhnth",
\t{
\t\t"nifty": 87
\t},
\t{
\t\t"field": "yes",
\t\t"morefield": false
\t}
]""")
d1 = json.dumps(h)
d2 = json.dumps(h, indent='\t', sort_keys=True, separators=(',', ': '))
d3 = json.dumps(h, indent=' ', sort_keys=True, separators=(',', ': '))
d4 = json.dumps(h, indent=2, sort_keys=True, separators=(',', ': '))
h1 = json.loads(d1)
h2 = json.loads(d2)
h3 = json.loads(d3)
h4 = json.loads(d4)
self.assertEquals(h1, h)
self.assertEquals(h2, h)
self.assertEquals(h3, h)
self.assertEquals(h4, h)
self.assertEquals(d3, expect.replace('\t', ' '))
self.assertEquals(d4, expect.replace('\t', ' '))
# NOTE: Python 2.4 textwrap.dedent converts tabs to spaces,
# so the following is expected to fail. Python 2.4 is not a
# supported platform in simplejson 2.1.0+.
self.assertEquals(d2, expect)
@@ -1,76 +0,0 @@
from unittest import TestCase
import simplejson as json
# from http://json.org/JSON_checker/test/pass1.json
JSON = r'''
[
"JSON Test Pattern pass1",
{"object with 1 member":["array with 1 element"]},
{},
[],
-42,
true,
false,
null,
{
"integer": 1234567890,
"real": -9876.543210,
"e": 0.123456789e-12,
"E": 1.234567890E+34,
"": 23456789012E666,
"zero": 0,
"one": 1,
"space": " ",
"quote": "\"",
"backslash": "\\",
"controls": "\b\f\n\r\t",
"slash": "/ & \/",
"alpha": "abcdefghijklmnopqrstuvwyz",
"ALPHA": "ABCDEFGHIJKLMNOPQRSTUVWYZ",
"digit": "0123456789",
"special": "`1~!@#$%^&*()_+-={':[,]}|;.</>?",
"hex": "\u0123\u4567\u89AB\uCDEF\uabcd\uef4A",
"true": true,
"false": false,
"null": null,
"array":[ ],
"object":{ },
"address": "50 St. James Street",
"url": "http://www.JSON.org/",
"comment": "// /* <!-- --",
"# -- --> */": " ",
" s p a c e d " :[1,2 , 3
,
4 , 5 , 6 ,7 ],
"compact": [1,2,3,4,5,6,7],
"jsontext": "{\"object with 1 member\":[\"array with 1 element\"]}",
"quotes": "&#34; \u0022 %22 0x22 034 &#x22;",
"\/\\\"\uCAFE\uBABE\uAB98\uFCDE\ubcda\uef4A\b\f\n\r\t`1~!@#$%^&*()_+-=[]{}|;:',./<>?"
: "A key can be any string"
},
0.5 ,98.6
,
99.44
,
1066
,"rosebud"]
'''
class TestPass1(TestCase):
def test_parse(self):
# test in/out equivalence and parsing
res = json.loads(JSON)
out = json.dumps(res)
self.assertEquals(res, json.loads(out))
try:
json.dumps(res, allow_nan=False)
except ValueError:
pass
else:
self.fail("23456789012E666 should be out of range")
@@ -1,14 +0,0 @@
from unittest import TestCase
import simplejson as json
# from http://json.org/JSON_checker/test/pass2.json
JSON = r'''
[[[[[[[[[[[[[[[[[[["Not too deep"]]]]]]]]]]]]]]]]]]]
'''
class TestPass2(TestCase):
def test_parse(self):
# test in/out equivalence and parsing
res = json.loads(JSON)
out = json.dumps(res)
self.assertEquals(res, json.loads(out))
@@ -1,20 +0,0 @@
from unittest import TestCase
import simplejson as json
# from http://json.org/JSON_checker/test/pass3.json
JSON = r'''
{
"JSON Test Pattern pass3": {
"The outermost value": "must be an object or array.",
"In this test": "It is an object."
}
}
'''
class TestPass3(TestCase):
def test_parse(self):
# test in/out equivalence and parsing
res = json.loads(JSON)
out = json.dumps(res)
self.assertEquals(res, json.loads(out))
@@ -1,67 +0,0 @@
from unittest import TestCase
import simplejson as json
class JSONTestObject:
pass
class RecursiveJSONEncoder(json.JSONEncoder):
recurse = False
def default(self, o):
if o is JSONTestObject:
if self.recurse:
return [JSONTestObject]
else:
return 'JSONTestObject'
return json.JSONEncoder.default(o)
class TestRecursion(TestCase):
def test_listrecursion(self):
x = []
x.append(x)
try:
json.dumps(x)
except ValueError:
pass
else:
self.fail("didn't raise ValueError on list recursion")
x = []
y = [x]
x.append(y)
try:
json.dumps(x)
except ValueError:
pass
else:
self.fail("didn't raise ValueError on alternating list recursion")
y = []
x = [y, y]
# ensure that the marker is cleared
json.dumps(x)
def test_dictrecursion(self):
x = {}
x["test"] = x
try:
json.dumps(x)
except ValueError:
pass
else:
self.fail("didn't raise ValueError on dict recursion")
x = {}
y = {"a": x, "b": x}
# ensure that the marker is cleared
json.dumps(x)
def test_defaultrecursion(self):
enc = RecursiveJSONEncoder()
self.assertEquals(enc.encode(JSONTestObject), '"JSONTestObject"')
enc.recurse = True
try:
enc.encode(JSONTestObject)
except ValueError:
pass
else:
self.fail("didn't raise ValueError on default recursion")
@@ -1,117 +0,0 @@
import sys
from unittest import TestCase
import simplejson as json
import simplejson.decoder
class TestScanString(TestCase):
def test_py_scanstring(self):
self._test_scanstring(simplejson.decoder.py_scanstring)
def test_c_scanstring(self):
if not simplejson.decoder.c_scanstring:
return
self._test_scanstring(simplejson.decoder.c_scanstring)
def _test_scanstring(self, scanstring):
self.assertEquals(
scanstring('"z\\ud834\\udd20x"', 1, None, True),
(u'z\U0001d120x', 16))
if sys.maxunicode == 65535:
self.assertEquals(
scanstring(u'"z\U0001d120x"', 1, None, True),
(u'z\U0001d120x', 6))
else:
self.assertEquals(
scanstring(u'"z\U0001d120x"', 1, None, True),
(u'z\U0001d120x', 5))
self.assertEquals(
scanstring('"\\u007b"', 1, None, True),
(u'{', 8))
self.assertEquals(
scanstring('"A JSON payload should be an object or array, not a string."', 1, None, True),
(u'A JSON payload should be an object or array, not a string.', 60))
self.assertEquals(
scanstring('["Unclosed array"', 2, None, True),
(u'Unclosed array', 17))
self.assertEquals(
scanstring('["extra comma",]', 2, None, True),
(u'extra comma', 14))
self.assertEquals(
scanstring('["double extra comma",,]', 2, None, True),
(u'double extra comma', 21))
self.assertEquals(
scanstring('["Comma after the close"],', 2, None, True),
(u'Comma after the close', 24))
self.assertEquals(
scanstring('["Extra close"]]', 2, None, True),
(u'Extra close', 14))
self.assertEquals(
scanstring('{"Extra comma": true,}', 2, None, True),
(u'Extra comma', 14))
self.assertEquals(
scanstring('{"Extra value after close": true} "misplaced quoted value"', 2, None, True),
(u'Extra value after close', 26))
self.assertEquals(
scanstring('{"Illegal expression": 1 + 2}', 2, None, True),
(u'Illegal expression', 21))
self.assertEquals(
scanstring('{"Illegal invocation": alert()}', 2, None, True),
(u'Illegal invocation', 21))
self.assertEquals(
scanstring('{"Numbers cannot have leading zeroes": 013}', 2, None, True),
(u'Numbers cannot have leading zeroes', 37))
self.assertEquals(
scanstring('{"Numbers cannot be hex": 0x14}', 2, None, True),
(u'Numbers cannot be hex', 24))
self.assertEquals(
scanstring('[[[[[[[[[[[[[[[[[[[["Too deep"]]]]]]]]]]]]]]]]]]]]', 21, None, True),
(u'Too deep', 30))
self.assertEquals(
scanstring('{"Missing colon" null}', 2, None, True),
(u'Missing colon', 16))
self.assertEquals(
scanstring('{"Double colon":: null}', 2, None, True),
(u'Double colon', 15))
self.assertEquals(
scanstring('{"Comma instead of colon", null}', 2, None, True),
(u'Comma instead of colon', 25))
self.assertEquals(
scanstring('["Colon instead of comma": false]', 2, None, True),
(u'Colon instead of comma', 25))
self.assertEquals(
scanstring('["Bad value", truth]', 2, None, True),
(u'Bad value', 12))
def test_issue3623(self):
self.assertRaises(ValueError, json.decoder.scanstring, "xxx", 1,
"xxx")
self.assertRaises(UnicodeDecodeError,
json.encoder.encode_basestring_ascii, "xx\xff")
def test_overflow(self):
# Python 2.5 does not have maxsize
maxsize = getattr(sys, 'maxsize', sys.maxint)
self.assertRaises(OverflowError, json.decoder.scanstring, "xxx",
maxsize + 1)
@@ -1,42 +0,0 @@
import textwrap
from unittest import TestCase
import simplejson as json
class TestSeparators(TestCase):
def test_separators(self):
h = [['blorpie'], ['whoops'], [], 'd-shtaeou', 'd-nthiouh', 'i-vhbjkhnth',
{'nifty': 87}, {'field': 'yes', 'morefield': False} ]
expect = textwrap.dedent("""\
[
[
"blorpie"
] ,
[
"whoops"
] ,
[] ,
"d-shtaeou" ,
"d-nthiouh" ,
"i-vhbjkhnth" ,
{
"nifty" : 87
} ,
{
"field" : "yes" ,
"morefield" : false
}
]""")
d1 = json.dumps(h)
d2 = json.dumps(h, indent=' ', sort_keys=True, separators=(' ,', ' : '))
h1 = json.loads(d1)
h2 = json.loads(d2)
self.assertEquals(h1, h)
self.assertEquals(h2, h)
self.assertEquals(d2, expect)
@@ -1,21 +0,0 @@
import decimal
from unittest import TestCase
from simplejson import decoder, encoder, scanner
def has_speedups():
return encoder.c_make_encoder is not None
class TestDecode(TestCase):
def test_make_scanner(self):
if not has_speedups():
return
self.assertRaises(AttributeError, scanner.c_make_scanner, 1)
def test_make_encoder(self):
if not has_speedups():
return
self.assertRaises(TypeError, encoder.c_make_encoder,
None,
"\xCD\x7D\x3D\x4E\x12\x4C\xF9\x79\xD7\x52\xBA\x82\xF2\x27\x4A\x7D\xA0\xCA\x75",
None)
@@ -1,99 +0,0 @@
from unittest import TestCase
import simplejson as json
class TestUnicode(TestCase):
def test_encoding1(self):
encoder = json.JSONEncoder(encoding='utf-8')
u = u'\N{GREEK SMALL LETTER ALPHA}\N{GREEK CAPITAL LETTER OMEGA}'
s = u.encode('utf-8')
ju = encoder.encode(u)
js = encoder.encode(s)
self.assertEquals(ju, js)
def test_encoding2(self):
u = u'\N{GREEK SMALL LETTER ALPHA}\N{GREEK CAPITAL LETTER OMEGA}'
s = u.encode('utf-8')
ju = json.dumps(u, encoding='utf-8')
js = json.dumps(s, encoding='utf-8')
self.assertEquals(ju, js)
def test_encoding3(self):
u = u'\N{GREEK SMALL LETTER ALPHA}\N{GREEK CAPITAL LETTER OMEGA}'
j = json.dumps(u)
self.assertEquals(j, '"\\u03b1\\u03a9"')
def test_encoding4(self):
u = u'\N{GREEK SMALL LETTER ALPHA}\N{GREEK CAPITAL LETTER OMEGA}'
j = json.dumps([u])
self.assertEquals(j, '["\\u03b1\\u03a9"]')
def test_encoding5(self):
u = u'\N{GREEK SMALL LETTER ALPHA}\N{GREEK CAPITAL LETTER OMEGA}'
j = json.dumps(u, ensure_ascii=False)
self.assertEquals(j, u'"' + u + u'"')
def test_encoding6(self):
u = u'\N{GREEK SMALL LETTER ALPHA}\N{GREEK CAPITAL LETTER OMEGA}'
j = json.dumps([u], ensure_ascii=False)
self.assertEquals(j, u'["' + u + u'"]')
def test_big_unicode_encode(self):
u = u'\U0001d120'
self.assertEquals(json.dumps(u), '"\\ud834\\udd20"')
self.assertEquals(json.dumps(u, ensure_ascii=False), u'"\U0001d120"')
def test_big_unicode_decode(self):
u = u'z\U0001d120x'
self.assertEquals(json.loads('"' + u + '"'), u)
self.assertEquals(json.loads('"z\\ud834\\udd20x"'), u)
def test_unicode_decode(self):
for i in range(0, 0xd7ff):
u = unichr(i)
#s = '"\\u{0:04x}"'.format(i)
s = '"\\u%04x"' % (i,)
self.assertEquals(json.loads(s), u)
def test_object_pairs_hook_with_unicode(self):
s = u'{"xkd":1, "kcw":2, "art":3, "hxm":4, "qrt":5, "pad":6, "hoy":7}'
p = [(u"xkd", 1), (u"kcw", 2), (u"art", 3), (u"hxm", 4),
(u"qrt", 5), (u"pad", 6), (u"hoy", 7)]
self.assertEqual(json.loads(s), eval(s))
self.assertEqual(json.loads(s, object_pairs_hook=lambda x: x), p)
od = json.loads(s, object_pairs_hook=json.OrderedDict)
self.assertEqual(od, json.OrderedDict(p))
self.assertEqual(type(od), json.OrderedDict)
# the object_pairs_hook takes priority over the object_hook
self.assertEqual(json.loads(s,
object_pairs_hook=json.OrderedDict,
object_hook=lambda x: None),
json.OrderedDict(p))
def test_default_encoding(self):
self.assertEquals(json.loads(u'{"a": "\xe9"}'.encode('utf-8')),
{'a': u'\xe9'})
def test_unicode_preservation(self):
self.assertEquals(type(json.loads(u'""')), unicode)
self.assertEquals(type(json.loads(u'"a"')), unicode)
self.assertEquals(type(json.loads(u'["a"]')[0]), unicode)
def test_ensure_ascii_false_returns_unicode(self):
# http://code.google.com/p/simplejson/issues/detail?id=48
self.assertEquals(type(json.dumps([], ensure_ascii=False)), unicode)
self.assertEquals(type(json.dumps(0, ensure_ascii=False)), unicode)
self.assertEquals(type(json.dumps({}, ensure_ascii=False)), unicode)
self.assertEquals(type(json.dumps("", ensure_ascii=False)), unicode)
def test_ensure_ascii_false_bytestring_encoding(self):
# http://code.google.com/p/simplejson/issues/detail?id=48
doc1 = {u'quux': 'Arr\xc3\xaat sur images'}
doc2 = {u'quux': u'Arr\xeat sur images'}
doc_ascii = '{"quux": "Arr\\u00eat sur images"}'
doc_unicode = u'{"quux": "Arr\xeat sur images"}'
self.assertEquals(json.dumps(doc1), doc_ascii)
self.assertEquals(json.dumps(doc2), doc_ascii)
self.assertEquals(json.dumps(doc1, ensure_ascii=False), doc_unicode)
self.assertEquals(json.dumps(doc2, ensure_ascii=False), doc_unicode)
-39
View File
@@ -1,39 +0,0 @@
r"""Command-line tool to validate and pretty-print JSON
Usage::
$ echo '{"json":"obj"}' | python -m simplejson.tool
{
"json": "obj"
}
$ echo '{ 1.2:3.4}' | python -m simplejson.tool
Expecting property name: line 1 column 2 (char 2)
"""
import sys
import simplejson as json
def main():
if len(sys.argv) == 1:
infile = sys.stdin
outfile = sys.stdout
elif len(sys.argv) == 2:
infile = open(sys.argv[1], 'rb')
outfile = sys.stdout
elif len(sys.argv) == 3:
infile = open(sys.argv[1], 'rb')
outfile = open(sys.argv[2], 'wb')
else:
raise SystemExit(sys.argv[0] + " [infile [outfile]]")
try:
obj = json.load(infile,
object_pairs_hook=json.OrderedDict,
use_decimal=True)
except ValueError, e:
raise SystemExit(e)
json.dump(obj, outfile, sort_keys=True, indent=' ', use_decimal=True)
outfile.write('\n')
if __name__ == '__main__':
main()
+4 -3
View File
@@ -1,4 +1,5 @@
nosetests test_tablib.py --with-xunit --with-coverage
coverage xml
rm -fr nosetests.xml
tox
# coverage xml
rm -fr pylint.txt
pylint -d W0312 -d W0212 -d E1101 -d E0202 -d W0102 -d E0102 -f parseable ./tablib > pylint.txt || true
# pylint -d W0312 -d W0212 -d E1101 -d E0202 -d W0102 -d E0102 -f parseable ./tablib > pylint.txt || true
+360 -268
View File
@@ -5,367 +5,459 @@
import unittest
from tablib.packages import markup
import tablib
class TablibTestCase(unittest.TestCase):
"""Tablib test cases."""
"""Tablib test cases."""
def setUp(self):
"""Create simple data set with headers."""
def setUp(self):
"""Create simple data set with headers."""
global data, book
data = tablib.Dataset()
book = tablib.Databook()
global data, book
self.headers = ('first_name', 'last_name', 'gpa')
self.john = ('John', 'Adams', 90)
self.george = ('George', 'Washington', 67)
self.tom = ('Thomas', 'Jefferson', 50)
data = tablib.Dataset()
book = tablib.Databook()
self.founders = tablib.Dataset(headers=self.headers)
self.founders.append(self.john)
self.founders.append(self.george)
self.founders.append(self.tom)
self.headers = ('first_name', 'last_name', 'gpa')
self.john = ('John', 'Adams', 90)
self.george = ('George', 'Washington', 67)
self.tom = ('Thomas', 'Jefferson', 50)
self.founders = tablib.Dataset(headers=self.headers)
self.founders.append(self.john)
self.founders.append(self.george)
self.founders.append(self.tom)
def tearDown(self):
"""Teardown."""
pass
def tearDown(self):
"""Teardown."""
pass
def test_empty_append(self):
"""Verify append() correctly adds tuple with no headers."""
new_row = (1, 2, 3)
data.append(new_row)
def test_empty_append(self):
"""Verify append() correctly adds tuple with no headers."""
new_row = (1, 2, 3)
data.append(new_row)
# Verify width/data
self.assertTrue(data.width == len(new_row))
self.assertTrue(data[0] == new_row)
# Verify width/data
self.assertTrue(data.width == len(new_row))
self.assertTrue(data[0] == new_row)
def test_empty_append_with_headers(self):
"""Verify append() correctly detects mismatch of number of
headers and data.
"""
data.headers = ['first', 'second']
new_row = (1, 2, 3, 4)
def test_empty_append_with_headers(self):
"""Verify append() correctly detects mismatch of number of
headers and data.
"""
data.headers = ['first', 'second']
new_row = (1, 2, 3, 4)
self.assertRaises(tablib.InvalidDimensions, data.append, new_row)
self.assertRaises(tablib.InvalidDimensions, data.append, new_row)
def test_add_column(self):
"""Verify adding column works with/without headers."""
def test_add_column(self):
"""Verify adding column works with/without headers."""
data.append(['kenneth'])
data.append(['bessie'])
data.append(['kenneth'])
data.append(['bessie'])
new_col = ['reitz', 'monke']
new_col = ['reitz', 'monke']
data.append(col=new_col)
data.append(col=new_col)
self.assertEquals(data[0], ('kenneth', 'reitz'))
self.assertEquals(data.width, 2)
self.assertEquals(data[0], ('kenneth', 'reitz'))
self.assertEquals(data.width, 2)
# With Headers
data.headers = ('fname', 'lname')
new_col = [21, 22]
data.append(col=new_col, header='age')
# With Headers
data.headers = ('fname', 'lname')
new_col = [21, 22]
data.append(col=new_col, header='age')
self.assertEquals(data['age'], new_col)
self.assertEquals(data['age'], new_col)
def test_add_column_no_data_no_headers(self):
"""Verify adding new column with no headers."""
def test_add_column_no_data_no_headers(self):
"""Verify adding new column with no headers."""
new_col = ('reitz', 'monke')
new_col = ('reitz', 'monke')
data.append(col=new_col)
data.append(col=new_col)
self.assertEquals(data[0], tuple([new_col[0]]))
self.assertEquals(data.width, 1)
self.assertEquals(data.height, len(new_col))
self.assertEquals(data[0], tuple([new_col[0]]))
self.assertEquals(data.width, 1)
self.assertEquals(data.height, len(new_col))
def test_add_callable_column(self):
"""Verify adding column with values specified as callable."""
new_col = [lambda x: x[0]]
self.founders.append(col=new_col, header='first_again')
def test_add_callable_column(self):
"""Verify adding column with values specified as callable."""
new_col = [lambda x: x[0]]
self.founders.append(col=new_col, header='first_again')
#
# self.assertTrue(map(lambda x: x[0] == x[-1], self.founders))
# self.assertTrue(map(lambda x: x[0] == x[-1], self.founders))
def test_header_slicing(self):
"""Verify slicing by headers."""
def test_header_slicing(self):
"""Verify slicing by headers."""
self.assertEqual(self.founders['first_name'],
[self.john[0], self.george[0], self.tom[0]])
self.assertEqual(self.founders['last_name'],
[self.john[1], self.george[1], self.tom[1]])
self.assertEqual(self.founders['gpa'],
[self.john[2], self.george[2], self.tom[2]])
self.assertEqual(self.founders['first_name'],
[self.john[0], self.george[0], self.tom[0]])
self.assertEqual(self.founders['last_name'],
[self.john[1], self.george[1], self.tom[1]])
self.assertEqual(self.founders['gpa'],
[self.john[2], self.george[2], self.tom[2]])
def test_data_slicing(self):
"""Verify slicing by data."""
def test_data_slicing(self):
"""Verify slicing by data."""
# Slice individual rows
self.assertEqual(self.founders[0], self.john)
self.assertEqual(self.founders[:1], [self.john])
self.assertEqual(self.founders[1:2], [self.george])
self.assertEqual(self.founders[-1], self.tom)
self.assertEqual(self.founders[3:], [])
# Slice individual rows
self.assertEqual(self.founders[0], self.john)
self.assertEqual(self.founders[:1], [self.john])
self.assertEqual(self.founders[1:2], [self.george])
self.assertEqual(self.founders[-1], self.tom)
self.assertEqual(self.founders[3:], [])
# Slice multiple rows
self.assertEqual(self.founders[:], [self.john, self.george, self.tom])
self.assertEqual(self.founders[0:2], [self.john, self.george])
self.assertEqual(self.founders[1:3], [self.george, self.tom])
self.assertEqual(self.founders[2:], [self.tom])
# Slice multiple rows
self.assertEqual(self.founders[:], [self.john, self.george, self.tom])
self.assertEqual(self.founders[0:2], [self.john, self.george])
self.assertEqual(self.founders[1:3], [self.george, self.tom])
self.assertEqual(self.founders[2:], [self.tom])
def test_delete(self):
"""Verify deleting from dataset works."""
def test_delete(self):
"""Verify deleting from dataset works."""
# Delete from front of object
del self.founders[0]
self.assertEqual(self.founders[:], [self.george, self.tom])
# Delete from front of object
del self.founders[0]
self.assertEqual(self.founders[:], [self.george, self.tom])
# Verify dimensions, width should NOT change
self.assertEqual(self.founders.height, 2)
self.assertEqual(self.founders.width, 3)
# Verify dimensions, width should NOT change
self.assertEqual(self.founders.height, 2)
self.assertEqual(self.founders.width, 3)
# Delete from back of object
del self.founders[1]
self.assertEqual(self.founders[:], [self.george])
# Delete from back of object
del self.founders[1]
self.assertEqual(self.founders[:], [self.george])
# Verify dimensions, width should NOT change
self.assertEqual(self.founders.height, 1)
self.assertEqual(self.founders.width, 3)
# Verify dimensions, width should NOT change
self.assertEqual(self.founders.height, 1)
self.assertEqual(self.founders.width, 3)
# Delete from invalid index
self.assertRaises(IndexError, self.founders.__delitem__, 3)
# Delete from invalid index
self.assertRaises(IndexError, self.founders.__delitem__, 3)
def test_csv_export(self):
"""Verify exporting dataset object as CSV."""
def test_csv_export(self):
"""Verify exporting dataset object as CSV."""
# Build up the csv string with headers first, followed by each row
csv = ''
for col in self.headers:
csv += col + ','
# Build up the csv string with headers first, followed by each row
csv = ''
for col in self.headers:
csv += col + ','
csv = csv.strip(',') + '\r\n'
csv = csv.strip(',') + '\r\n'
for founder in self.founders:
for col in founder:
csv += str(col) + ','
csv = csv.strip(',') + '\r\n'
for founder in self.founders:
for col in founder:
csv += str(col) + ','
csv = csv.strip(',') + '\r\n'
self.assertEqual(csv, self.founders.csv)
self.assertEqual(csv, self.founders.csv)
def test_tsv_export(self):
"""Verify exporting dataset object as CSV."""
def test_tsv_export(self):
"""Verify exporting dataset object as CSV."""
# Build up the csv string with headers first, followed by each row
tsv = ''
for col in self.headers:
tsv += col + '\t'
# Build up the csv string with headers first, followed by each row
tsv = ''
for col in self.headers:
tsv += col + '\t'
tsv = tsv.strip('\t') + '\r\n'
tsv = tsv.strip('\t') + '\r\n'
for founder in self.founders:
for col in founder:
tsv += str(col) + '\t'
tsv = tsv.strip('\t') + '\r\n'
for founder in self.founders:
for col in founder:
tsv += str(col) + '\t'
tsv = tsv.strip('\t') + '\r\n'
self.assertEqual(tsv, self.founders.tsv)
self.assertEqual(tsv, self.founders.tsv)
def test_unicode_append(self):
"""Passes in a single unicode charecter and exports."""
def test_html_export(self):
new_row = ('å', 'é')
data.append(new_row)
"""HTML export"""
data.json
data.yaml
data.csv
data.tsv
data.xls
html = markup.page()
html.table.open()
html.thead.open()
def test_book_export_no_exceptions(self):
"""Test that varoius exports don't error out."""
html.tr(markup.oneliner.th(self.founders.headers))
html.thead.close()
book = tablib.Databook()
book.add_sheet(data)
for founder in self.founders:
book.json
book.yaml
book.xls
html.tr(markup.oneliner.td(founder))
html.table.close()
html = str(html)
def test_json_import_set(self):
"""Generate and import JSON set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
self.assertEqual(html, self.founders.html)
_json = data.json
data.json = _json
def test_unicode_append(self):
"""Passes in a single unicode charecter and exports."""
self.assertEqual(_json, data.json)
new_row = ('å', 'é')
data.append(new_row)
data.json
data.yaml
data.csv
data.tsv
data.xls
def test_json_import_book(self):
"""Generate and import JSON book serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
book.add_sheet(data)
_json = book.json
def test_book_export_no_exceptions(self):
"""Test that varoius exports don't error out."""
book.json = _json
book = tablib.Databook()
book.add_sheet(data)
self.assertEqual(_json, book.json)
book.json
book.yaml
book.xls
def test_yaml_import_set(self):
"""Generate and import YAML set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
def test_json_import_set(self):
"""Generate and import JSON set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
_yaml = data.yaml
_json = data.json
data.yaml = _yaml
data.json = _json
self.assertEqual(_yaml, data.yaml)
self.assertEqual(_json, data.json)
def test_yaml_import_book(self):
"""Generate and import YAML book serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
book.add_sheet(data)
_yaml = book.yaml
def test_json_import_book(self):
"""Generate and import JSON book serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
book.yaml = _yaml
book.add_sheet(data)
_json = book.json
self.assertEqual(_yaml, book.yaml)
book.json = _json
def test_csv_import_set(self):
"""Generate and import CSV set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
self.assertEqual(_json, book.json)
_csv = data.csv
data.csv = _csv
def test_yaml_import_set(self):
"""Generate and import YAML set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
self.assertEqual(_csv, data.csv)
_yaml = data.yaml
def test_tsv_import_set(self):
"""Generate and import TSV set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
data.yaml = _yaml
_tsv = data.tsv
self.assertEqual(_yaml, data.yaml)
data.tsv = _tsv
self.assertEqual(_tsv, data.tsv)
def test_yaml_import_book(self):
"""Generate and import YAML book serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
def test_csv_format_detect(self):
"""Test CSV format detection."""
_csv = (
'1,2,3\n'
'4,5,6\n'
'7,8,9\n'
)
_bunk = (
'¡¡¡¡¡¡¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.csv.detect(_csv))
self.assertFalse(tablib.formats.csv.detect(_bunk))
book.add_sheet(data)
_yaml = book.yaml
def test_tsv_format_detect(self):
"""Test TSV format detection."""
_tsv = (
'1\t2\t3\n'
'4\t5\t6\n'
'7\t8\t9\n'
)
_bunk = (
'¡¡¡¡¡¡¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.tsv.detect(_tsv))
self.assertFalse(tablib.formats.tsv.detect(_bunk))
book.yaml = _yaml
def test_json_format_detect(self):
"""Test JSON format detection."""
self.assertEqual(_yaml, book.yaml)
def test_csv_import_set(self):
"""Generate and import CSV set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
_csv = data.csv
data.csv = _csv
self.assertEqual(_csv, data.csv)
def test_tsv_import_set(self):
"""Generate and import TSV set serialization."""
data.append(self.john)
data.append(self.george)
data.headers = self.headers
_tsv = data.tsv
data.tsv = _tsv
self.assertEqual(_tsv, data.tsv)
def test_csv_format_detect(self):
"""Test CSV format detection."""
_csv = (
'1,2,3\n'
'4,5,6\n'
'7,8,9\n'
)
_bunk = (
'¡¡¡¡¡¡¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.csv.detect(_csv))
self.assertFalse(tablib.formats.csv.detect(_bunk))
def test_tsv_format_detect(self):
"""Test TSV format detection."""
_tsv = (
'1\t2\t3\n'
'4\t5\t6\n'
'7\t8\t9\n'
)
_bunk = (
'¡¡¡¡¡¡¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.tsv.detect(_tsv))
self.assertFalse(tablib.formats.tsv.detect(_bunk))
def test_json_format_detect(self):
"""Test JSON format detection."""
_json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
_bunk = (
'¡¡¡¡¡¡¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.json.detect(_json))
self.assertFalse(tablib.formats.json.detect(_bunk))
def test_yaml_format_detect(self):
"""Test YAML format detection."""
_yaml = '- {age: 90, first_name: John, last_name: Adams}'
_bunk = (
'¡¡¡¡¡¡---///\n\n\n¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.yaml.detect(_yaml))
self.assertFalse(tablib.formats.yaml.detect(_bunk))
def test_auto_format_detect(self):
"""Test auto format detection."""
_yaml = '- {age: 90, first_name: John, last_name: Adams}'
_json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
_csv = '1,2,3\n4,5,6\n7,8,9\n'
_bunk = '¡¡¡¡¡¡---///\n\n\n¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
self.assertEqual(tablib.detect(_yaml)[0], tablib.formats.yaml)
self.assertEqual(tablib.detect(_csv)[0], tablib.formats.csv)
self.assertEqual(tablib.detect(_json)[0], tablib.formats.json)
self.assertEqual(tablib.detect(_bunk)[0], None)
def test_transpose(self):
"""Transpose a dataset."""
transposed_founders = self.founders.transpose()
first_row = transposed_founders[0]
second_row = transposed_founders[1]
self.assertEqual(transposed_founders.headers,
["first_name","John", "George", "Thomas"])
self.assertEqual(first_row,
("last_name","Adams", "Washington", "Jefferson"))
self.assertEqual(second_row,
("gpa",90, 67, 50))
def test_row_stacking(self):
"""Row stacking."""
to_join = tablib.Dataset(headers=self.founders.headers)
for row in self.founders:
to_join.append(row=row)
row_stacked = self.founders.stack_rows(to_join)
for column in row_stacked.headers:
original_data = self.founders[column]
expected_data = original_data + original_data
self.assertEqual(row_stacked[column], expected_data)
def test_column_stacking(self):
"""Column stacking"""
to_join = tablib.Dataset(headers=self.founders.headers)
for row in self.founders:
to_join.append(row=row)
column_stacked = self.founders.stack_columns(to_join)
for index, row in enumerate(column_stacked):
original_data = self.founders[index]
expected_data = original_data + original_data
self.assertEqual(row, expected_data)
self.assertEqual(column_stacked[0],
("John", "Adams", 90, "John", "Adams", 90))
def test_sorting(self):
"""Sort columns."""
sorted_data = self.founders.sort(col="first_name")
first_row = sorted_data[0]
second_row = sorted_data[2]
third_row = sorted_data[1]
expected_first = self.founders[1]
expected_second = self.founders[2]
expected_third = self.founders[0]
self.assertEqual(first_row, expected_first)
self.assertEqual(second_row, expected_second)
self.assertEqual(third_row, expected_third)
def test_wipe(self):
"""Purge a dataset."""
new_row = (1, 2, 3)
data.append(new_row)
# Verify width/data
self.assertTrue(data.width == len(new_row))
self.assertTrue(data[0] == new_row)
data.wipe()
new_row = (1, 2, 3, 4)
data.append(new_row)
self.assertTrue(data.width == len(new_row))
self.assertTrue(data[0] == new_row)
_json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
_bunk = (
'¡¡¡¡¡¡¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.json.detect(_json))
self.assertFalse(tablib.formats.json.detect(_bunk))
def test_yaml_format_detect(self):
"""Test YAML format detection."""
_yaml = '- {age: 90, first_name: John, last_name: Adams}'
_bunk = (
'¡¡¡¡¡¡---///\n\n\n¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
)
self.assertTrue(tablib.formats.yaml.detect(_yaml))
self.assertFalse(tablib.formats.yaml.detect(_bunk))
def test_auto_format_detect(self):
"""Test auto format detection."""
_yaml = '- {age: 90, first_name: John, last_name: Adams}'
_json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
_csv = '1,2,3\n4,5,6\n7,8,9\n'
_bunk = '¡¡¡¡¡¡---///\n\n\n¡¡£™∞¢£§∞§¶•¶ª∞¶•ªº••ª–º§•†•§º¶•†¥ª–º•§ƒø¥¨©πƒø†ˆ¥ç©¨√øˆ¥≈†ƒ¥ç©ø¨çˆ¥ƒçø¶'
self.assertEqual(tablib.detect(_yaml)[0], tablib.formats.yaml)
self.assertEqual(tablib.detect(_csv)[0], tablib.formats.csv)
self.assertEqual(tablib.detect(_json)[0], tablib.formats.json)
self.assertEqual(tablib.detect(_bunk)[0], None)
def test_wipe(self):
"""Purge a dataset."""
new_row = (1, 2, 3)
data.append(new_row)
# Verify width/data
self.assertTrue(data.width == len(new_row))
self.assertTrue(data[0] == new_row)
data.wipe()
new_row = (1, 2, 3, 4)
data.append(new_row)
self.assertTrue(data.width == len(new_row))
self.assertTrue(data[0] == new_row)
if __name__ == '__main__':
unittest.main()
unittest.main()
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[tox]
envlist = py24,py25,py26,py27
[testenv]
commands=py.test --junitxml=junit-{envname}.xml
deps =
nose
simplejson
pytest