mirror of
https://github.com/kennethreitz/tablib.git
synced 2026-06-05 15:00:19 +00:00
Merge branch 'release/0.9.4'
This commit is contained in:
@@ -18,3 +18,8 @@ profile
|
||||
# vi noise
|
||||
*.swp
|
||||
docs/_build/*
|
||||
coverage.xml
|
||||
nosetests.xml
|
||||
junit-py25.xml
|
||||
junit-py26.xml
|
||||
junit-py27.xml
|
||||
@@ -12,4 +12,5 @@ Patches and Suggestions
|
||||
|
||||
- Luke Lee
|
||||
- Josh Ourisman
|
||||
- Luca Beltrame
|
||||
- Luca Beltrame
|
||||
- Benjamin Wohlwend
|
||||
+10
@@ -1,6 +1,16 @@
|
||||
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)
|
||||
++++++++++++++++++
|
||||
|
||||
|
||||
@@ -60,29 +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.
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -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
|
||||
+1
-1
@@ -268,7 +268,7 @@ It's that simple. The original :class:`Dataset` is untouched.
|
||||
Excel Workbook With Multiple Sheets
|
||||
------------------------------------
|
||||
|
||||
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 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... ::
|
||||
|
||||
Vendored
+10
-10
@@ -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 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')
|
||||
"""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')
|
||||
@@ -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='0.9.3',
|
||||
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
@@ -2,7 +2,7 @@
|
||||
"""
|
||||
|
||||
from tablib.core import (
|
||||
Databook, Dataset, detect, import_set,
|
||||
InvalidDatasetType, InvalidDimensions, UnsupportedFormat
|
||||
Databook, Dataset, detect, import_set,
|
||||
InvalidDatasetType, InvalidDimensions, UnsupportedFormat
|
||||
)
|
||||
|
||||
|
||||
+522
-511
File diff suppressed because it is too large
Load Diff
+20
-20
@@ -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
|
||||
+22
-28
@@ -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."""
|
||||
"""Returns dataset from JSON stream."""
|
||||
|
||||
dset.wipe()
|
||||
dset.dict = json.loads(in_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
@@ -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
|
||||
|
||||
+42
-42
@@ -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'
|
||||
@@ -20,66 +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)
|
||||
dset_sheet(dataset, ws)
|
||||
|
||||
stream = cStringIO.StringIO()
|
||||
wb.save(stream)
|
||||
return stream.getvalue()
|
||||
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)
|
||||
|
||||
# frozen header row
|
||||
ws.panes_frozen = True
|
||||
ws.horz_split_pos = 1
|
||||
# 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)
|
||||
# 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
@@ -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
@@ -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
|
||||
|
||||
|
||||
@@ -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)
|
||||
+41
-41
@@ -29,10 +29,10 @@ class element:
|
||||
def __init__( self, tag, case='lower', parent=None ):
|
||||
self.parent = parent
|
||||
|
||||
if case == 'lower':
|
||||
self.tag = tag.lower( )
|
||||
else:
|
||||
self.tag = tag.upper( )
|
||||
if case == 'lower':
|
||||
self.tag = tag.lower( )
|
||||
else:
|
||||
self.tag = tag.upper( )
|
||||
|
||||
def __call__( self, *args, **kwargs ):
|
||||
if len( args ) > 1:
|
||||
@@ -67,8 +67,8 @@ class element:
|
||||
def render( self, tag, single, between, kwargs ):
|
||||
"""Append the actual tags to content."""
|
||||
|
||||
out = "<%s" % tag
|
||||
for key, value in kwargs.iteritems( ):
|
||||
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?
|
||||
@@ -78,13 +78,13 @@ class element:
|
||||
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 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:
|
||||
@@ -145,30 +145,30 @@ class page:
|
||||
deprecated_twotags = [ "APPLET", "CENTER", "DIR", "FONT", "MENU", "S", "STRIKE", "U" ]
|
||||
|
||||
self.header = [ ]
|
||||
self.content = [ ]
|
||||
self.content = [ ]
|
||||
self.footer = [ ]
|
||||
self.case = case
|
||||
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 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
|
||||
@@ -178,8 +178,8 @@ class page:
|
||||
self.onetags = russell( )
|
||||
self.twotags = russell( )
|
||||
self.mode = mode
|
||||
else:
|
||||
raise ModeError( mode )
|
||||
else:
|
||||
raise ModeError( mode )
|
||||
|
||||
def __getattr__( self, attr ):
|
||||
if attr.startswith("__") and attr.endswith("__"):
|
||||
@@ -192,7 +192,7 @@ class page:
|
||||
end = [ '</body>', '</html>' ]
|
||||
else:
|
||||
end = [ ]
|
||||
|
||||
|
||||
return self.separator.join( self.header + self.content + self.footer + end )
|
||||
|
||||
def __call__( self, escape=False ):
|
||||
@@ -444,37 +444,37 @@ class russell:
|
||||
"""A dummy class that contains anything."""
|
||||
|
||||
def __contains__( self, item ):
|
||||
return True
|
||||
return True
|
||||
|
||||
|
||||
class MarkupError( Exception ):
|
||||
"""All our exceptions subclass this."""
|
||||
def __str__( self ):
|
||||
return self.message
|
||||
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
|
||||
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
|
||||
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
|
||||
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 )
|
||||
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
|
||||
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
|
||||
self.message = "Mode '%s' is invalid, possible values: strict_html, loose_html, xml." % mode
|
||||
|
||||
class CustomizationError( MarkupError ):
|
||||
def __init__( self ):
|
||||
|
||||
@@ -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,
|
||||
)
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,421 +0,0 @@
|
||||
"""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
|
||||
@@ -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. &) 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
|
||||
@@ -1,119 +0,0 @@
|
||||
"""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
|
||||
@@ -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~!@#$%^&*()_+-={':[,]}|;.</>?",
|
||||
"hex": "\u0123\u4567\u89AB\uCDEF\uabcd\uef4A",
|
||||
"true": true,
|
||||
"false": false,
|
||||
"null": null,
|
||||
"array":[ ],
|
||||
"object":{ },
|
||||
"address": "50 St. James Street",
|
||||
"url": "http://www.JSON.org/",
|
||||
"comment": "// /* <!-- --",
|
||||
"# -- --> */": " ",
|
||||
" s p a c e d " :[1,2 , 3
|
||||
|
||||
,
|
||||
|
||||
4 , 5 , 6 ,7 ],
|
||||
"compact": [1,2,3,4,5,6,7],
|
||||
"jsontext": "{\"object with 1 member\":[\"array with 1 element\"]}",
|
||||
"quotes": "" \u0022 %22 0x22 034 "",
|
||||
"\/\\\"\uCAFE\uBABE\uAB98\uFCDE\ubcda\uef4A\b\f\n\r\t`1~!@#$%^&*()_+-=[]{}|;:',./<>?"
|
||||
: "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)
|
||||
@@ -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
@@ -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
|
||||
+303
-303
@@ -12,452 +12,452 @@ 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
|
||||
global data, book
|
||||
|
||||
data = tablib.Dataset()
|
||||
book = tablib.Databook()
|
||||
data = tablib.Dataset()
|
||||
book = tablib.Databook()
|
||||
|
||||
self.headers = ('first_name', 'last_name', 'gpa')
|
||||
self.john = ('John', 'Adams', 90)
|
||||
self.george = ('George', 'Washington', 67)
|
||||
self.tom = ('Thomas', 'Jefferson', 50)
|
||||
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)
|
||||
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_html_export(self):
|
||||
def test_html_export(self):
|
||||
|
||||
"""HTML export"""
|
||||
"""HTML export"""
|
||||
|
||||
html = markup.page()
|
||||
html.table.open()
|
||||
html.thead.open()
|
||||
html = markup.page()
|
||||
html.table.open()
|
||||
html.thead.open()
|
||||
|
||||
html.tr(markup.oneliner.th(self.founders.headers))
|
||||
html.thead.close()
|
||||
html.tr(markup.oneliner.th(self.founders.headers))
|
||||
html.thead.close()
|
||||
|
||||
for founder in self.founders:
|
||||
for founder in self.founders:
|
||||
|
||||
html.tr(markup.oneliner.td(founder))
|
||||
html.tr(markup.oneliner.td(founder))
|
||||
|
||||
html.table.close()
|
||||
html = str(html)
|
||||
html.table.close()
|
||||
html = str(html)
|
||||
|
||||
self.assertEqual(html, self.founders.html)
|
||||
self.assertEqual(html, self.founders.html)
|
||||
|
||||
|
||||
def test_unicode_append(self):
|
||||
"""Passes in a single unicode charecter and exports."""
|
||||
def test_unicode_append(self):
|
||||
"""Passes in a single unicode charecter and exports."""
|
||||
|
||||
new_row = ('å', 'é')
|
||||
data.append(new_row)
|
||||
new_row = ('å', 'é')
|
||||
data.append(new_row)
|
||||
|
||||
data.json
|
||||
data.yaml
|
||||
data.csv
|
||||
data.tsv
|
||||
data.xls
|
||||
data.json
|
||||
data.yaml
|
||||
data.csv
|
||||
data.tsv
|
||||
data.xls
|
||||
|
||||
|
||||
def test_book_export_no_exceptions(self):
|
||||
"""Test that varoius exports don't error out."""
|
||||
def test_book_export_no_exceptions(self):
|
||||
"""Test that varoius exports don't error out."""
|
||||
|
||||
book = tablib.Databook()
|
||||
book.add_sheet(data)
|
||||
book = tablib.Databook()
|
||||
book.add_sheet(data)
|
||||
|
||||
book.json
|
||||
book.yaml
|
||||
book.xls
|
||||
book.json
|
||||
book.yaml
|
||||
book.xls
|
||||
|
||||
|
||||
def test_json_import_set(self):
|
||||
"""Generate and import JSON 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
|
||||
|
||||
_json = data.json
|
||||
_json = data.json
|
||||
|
||||
data.json = _json
|
||||
data.json = _json
|
||||
|
||||
self.assertEqual(_json, data.json)
|
||||
self.assertEqual(_json, data.json)
|
||||
|
||||
|
||||
def test_json_import_book(self):
|
||||
"""Generate and import JSON book serialization."""
|
||||
data.append(self.john)
|
||||
data.append(self.george)
|
||||
data.headers = self.headers
|
||||
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
|
||||
book.add_sheet(data)
|
||||
_json = book.json
|
||||
|
||||
book.json = _json
|
||||
book.json = _json
|
||||
|
||||
self.assertEqual(_json, book.json)
|
||||
self.assertEqual(_json, book.json)
|
||||
|
||||
|
||||
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_yaml_import_set(self):
|
||||
"""Generate and import YAML set serialization."""
|
||||
data.append(self.john)
|
||||
data.append(self.george)
|
||||
data.headers = self.headers
|
||||
|
||||
_yaml = data.yaml
|
||||
_yaml = data.yaml
|
||||
|
||||
data.yaml = _yaml
|
||||
data.yaml = _yaml
|
||||
|
||||
self.assertEqual(_yaml, data.yaml)
|
||||
self.assertEqual(_yaml, data.yaml)
|
||||
|
||||
|
||||
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_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
|
||||
book.add_sheet(data)
|
||||
_yaml = book.yaml
|
||||
|
||||
book.yaml = _yaml
|
||||
book.yaml = _yaml
|
||||
|
||||
self.assertEqual(_yaml, book.yaml)
|
||||
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
|
||||
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
|
||||
_csv = data.csv
|
||||
|
||||
data.csv = _csv
|
||||
data.csv = _csv
|
||||
|
||||
self.assertEqual(_csv, data.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
|
||||
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
|
||||
_tsv = data.tsv
|
||||
|
||||
data.tsv = _tsv
|
||||
data.tsv = _tsv
|
||||
|
||||
self.assertEqual(_tsv, data.tsv)
|
||||
self.assertEqual(_tsv, data.tsv)
|
||||
|
||||
def test_csv_format_detect(self):
|
||||
"""Test CSV format detection."""
|
||||
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¶'
|
||||
)
|
||||
_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))
|
||||
self.assertTrue(tablib.formats.csv.detect(_csv))
|
||||
self.assertFalse(tablib.formats.csv.detect(_bunk))
|
||||
|
||||
def test_tsv_format_detect(self):
|
||||
"""Test TSV format detection."""
|
||||
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¶'
|
||||
)
|
||||
_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))
|
||||
self.assertTrue(tablib.formats.tsv.detect(_tsv))
|
||||
self.assertFalse(tablib.formats.tsv.detect(_bunk))
|
||||
|
||||
def test_json_format_detect(self):
|
||||
"""Test JSON format detection."""
|
||||
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¶'
|
||||
)
|
||||
_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))
|
||||
self.assertTrue(tablib.formats.json.detect(_json))
|
||||
self.assertFalse(tablib.formats.json.detect(_bunk))
|
||||
|
||||
|
||||
def test_yaml_format_detect(self):
|
||||
"""Test YAML format detection."""
|
||||
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¶'
|
||||
)
|
||||
_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))
|
||||
self.assertTrue(tablib.formats.yaml.detect(_yaml))
|
||||
self.assertFalse(tablib.formats.yaml.detect(_bunk))
|
||||
|
||||
|
||||
def test_auto_format_detect(self):
|
||||
"""Test auto format detection."""
|
||||
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¶'
|
||||
_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)
|
||||
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."""
|
||||
def test_transpose(self):
|
||||
"""Transpose a dataset."""
|
||||
|
||||
transposed_founders = self.founders.transpose()
|
||||
first_row = transposed_founders[0]
|
||||
second_row = transposed_founders[1]
|
||||
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))
|
||||
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):
|
||||
def test_row_stacking(self):
|
||||
|
||||
"""Row stacking."""
|
||||
"""Row stacking."""
|
||||
|
||||
to_join = tablib.Dataset(headers=self.founders.headers)
|
||||
to_join = tablib.Dataset(headers=self.founders.headers)
|
||||
|
||||
for row in self.founders:
|
||||
to_join.append(row=row)
|
||||
for row in self.founders:
|
||||
to_join.append(row=row)
|
||||
|
||||
row_stacked = self.founders.stack_rows(to_join)
|
||||
row_stacked = self.founders.stack_rows(to_join)
|
||||
|
||||
for column in row_stacked.headers:
|
||||
for column in row_stacked.headers:
|
||||
|
||||
original_data = self.founders[column]
|
||||
expected_data = original_data + original_data
|
||||
self.assertEqual(row_stacked[column], expected_data)
|
||||
original_data = self.founders[column]
|
||||
expected_data = original_data + original_data
|
||||
self.assertEqual(row_stacked[column], expected_data)
|
||||
|
||||
def test_column_stacking(self):
|
||||
def test_column_stacking(self):
|
||||
|
||||
"""Column stacking"""
|
||||
"""Column stacking"""
|
||||
|
||||
to_join = tablib.Dataset(headers=self.founders.headers)
|
||||
to_join = tablib.Dataset(headers=self.founders.headers)
|
||||
|
||||
for row in self.founders:
|
||||
to_join.append(row=row)
|
||||
for row in self.founders:
|
||||
to_join.append(row=row)
|
||||
|
||||
column_stacked = self.founders.stack_columns(to_join)
|
||||
column_stacked = self.founders.stack_columns(to_join)
|
||||
|
||||
for index, row in enumerate(column_stacked):
|
||||
for index, row in enumerate(column_stacked):
|
||||
|
||||
original_data = self.founders[index]
|
||||
expected_data = original_data + original_data
|
||||
self.assertEqual(row, expected_data)
|
||||
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))
|
||||
self.assertEqual(column_stacked[0],
|
||||
("John", "Adams", 90, "John", "Adams", 90))
|
||||
|
||||
def test_sorting(self):
|
||||
def test_sorting(self):
|
||||
|
||||
"""Sort columns."""
|
||||
"""Sort columns."""
|
||||
|
||||
sorted_data = self.founders.sort(col="first_name")
|
||||
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]
|
||||
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)
|
||||
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."""
|
||||
def test_wipe(self):
|
||||
"""Purge a dataset."""
|
||||
|
||||
new_row = (1, 2, 3)
|
||||
data.append(new_row)
|
||||
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)
|
||||
|
||||
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)
|
||||
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()
|
||||
|
||||
Reference in New Issue
Block a user