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707 Commits
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| ca08ac8a7b | |||
| 08b51113d3 | |||
| 3e391fc8e3 | |||
| a230844914 | |||
| bc82be09c5 | |||
| ed9fe01604 | |||
| e69546a0ff | |||
| d4b659ece9 | |||
| 55eb3f93e3 | |||
| be7182aea9 | |||
| 48def2cba6 | |||
| df8c0335d1 | |||
| d0b09f0fce | |||
| 9efd982bfa | |||
| a3c82804cd | |||
| 2e75e93f57 | |||
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| f5c0c5c34d | |||
| d9aee8e605 | |||
| 315a082b70 | |||
| 120ce9fcd6 | |||
| 914a82eac9 | |||
| 3931bcb4e6 | |||
| 471e56c387 | |||
| 8553dbc040 | |||
| 96c93871cf | |||
| a54949bc08 | |||
| ed686c2391 | |||
| 143677be77 | |||
| b2c35c2543 | |||
| 9dfd9d0c8e | |||
| 140e23c980 | |||
| ac797f1eda | |||
| 7c90595364 | |||
| 38ac98fdb2 | |||
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| 9c7707be60 | |||
| 14bee65208 | |||
| 4fc5e0655d | |||
| da2e670d0d | |||
| 5912bf4870 | |||
| 28e9d7e23e |
+12
@@ -17,3 +17,15 @@ profile
|
||||
|
||||
# vi noise
|
||||
*.swp
|
||||
docs/_build/*
|
||||
coverage.xml
|
||||
nosetests.xml
|
||||
junit-py25.xml
|
||||
junit-py26.xml
|
||||
junit-py27.xml
|
||||
|
||||
# tox noise
|
||||
.tox
|
||||
|
||||
# pyenv noise
|
||||
.python-version
|
||||
|
||||
+10
@@ -0,0 +1,10 @@
|
||||
language: python
|
||||
cache: pip
|
||||
python:
|
||||
- 2.7
|
||||
- 3.4
|
||||
- 3.5
|
||||
- 3.6
|
||||
install:
|
||||
- pip install -r requirements.txt
|
||||
script: python test_tablib.py
|
||||
@@ -4,11 +4,35 @@ various contributors:
|
||||
Development Lead
|
||||
````````````````
|
||||
|
||||
- Kenneth Reitz <me@kennethreitz.com>
|
||||
- Kenneth Reitz <me@kennethreitz.org>
|
||||
|
||||
|
||||
Core Contributors
|
||||
`````````````````
|
||||
|
||||
- Iuri de Silvio <iurisilvio@gmail.com>
|
||||
|
||||
Patches and Suggestions
|
||||
```````````````````````
|
||||
|
||||
- Luke Lee
|
||||
- Josh Ourisman
|
||||
- Josh Ourisman
|
||||
- Luca Beltrame
|
||||
- Benjamin Wohlwend
|
||||
- Erik Youngren
|
||||
- Mark Rogers
|
||||
- Mark Walling
|
||||
- Mike Waldner
|
||||
- Joel Friedly
|
||||
- Jakub Janoszek
|
||||
- Marc Abramowitz
|
||||
- Alex Gaynor
|
||||
- James Douglass
|
||||
- Tommy Anthony
|
||||
- Rabin Nankhwa
|
||||
- Marco Dallagiacoma
|
||||
- Mathias Loesch
|
||||
- Tushar Makkar
|
||||
- Andrii Soldatenko
|
||||
- Bruno Soares
|
||||
- Tsuyoshi Hombashi
|
||||
|
||||
@@ -0,0 +1,14 @@
|
||||
Where possible, please follow PEP8 with regard to coding style. Sometimes the line
|
||||
length restriction is too hard to follow, so don't bend over backwards there.
|
||||
|
||||
Triple-quotes should always be """, single quotes are ' unless using "
|
||||
would result in less escaping within the string.
|
||||
|
||||
All modules, functions, and methods should be well documented reStructuredText for
|
||||
Sphinx AutoDoc.
|
||||
|
||||
All functionality should be available in pure Python. Optional C (via Cython)
|
||||
implementations may be written for performance reasons, but should never
|
||||
replace the Python implementation.
|
||||
|
||||
Lastly, don't take yourself too seriously :)
|
||||
+194
-20
@@ -1,82 +1,256 @@
|
||||
History
|
||||
=======
|
||||
0.8.4 (2010-10-04)
|
||||
------------------
|
||||
-------
|
||||
|
||||
* Upated XLS output: Only wrap if '\n' in cell.
|
||||
0.11.5 (2017-06-13)
|
||||
+++++++++++++++++++
|
||||
|
||||
- Use ``yaml.safe_load`` for importing yaml.
|
||||
|
||||
0.11.4 (2017-01-23)
|
||||
+++++++++++++++++++
|
||||
|
||||
- Use built-in `json` package if available
|
||||
- Support Python 3.5+ in classifiers
|
||||
|
||||
** Bugfixes **
|
||||
|
||||
- Fixed textual representation for Dataset with no headers
|
||||
- Handle decimal types
|
||||
|
||||
0.11.3 (2016-02-16)
|
||||
+++++++++++++++++++
|
||||
|
||||
- Release fix.
|
||||
|
||||
0.11.2 (2016-02-16)
|
||||
+++++++++++++++++++
|
||||
|
||||
**Bugfixes**
|
||||
|
||||
- Fix export only formats.
|
||||
- Fix for xlsx output.
|
||||
|
||||
0.11.1 (2016-02-07)
|
||||
+++++++++++++++++++
|
||||
|
||||
**Bugfixes**
|
||||
|
||||
- Fixed packaging error on Python 3.
|
||||
|
||||
|
||||
0.11.0 (2016-02-07)
|
||||
+++++++++++++++++++
|
||||
|
||||
**New Formats!**
|
||||
|
||||
- Added LaTeX table export format (``Dataset.latex``).
|
||||
- Support for dBase (DBF) files (``Dataset.dbf``).
|
||||
|
||||
**Improvements**
|
||||
|
||||
- New import/export interface (``Dataset.export()``, ``Dataset.load()``).
|
||||
- CSV custom delimiter support (``Dataset.export('csv', delimiter='$')``).
|
||||
- Adding ability to remove duplicates to all rows in a dataset (``Dataset.remove_duplicates()``).
|
||||
- Added a mechanism to avoid ``datetime.datetime`` issues when serializing data.
|
||||
- New ``detect_format()`` function (mostly for internal use).
|
||||
- Update the vendored unicodecsv to fix ``None`` handling.
|
||||
- Only freeze the headers row, not the headers columns (xls).
|
||||
|
||||
**Breaking Changes**
|
||||
|
||||
- ``detect()`` function removed.
|
||||
|
||||
**Bugfixes**
|
||||
|
||||
- Fix XLSX import.
|
||||
- Bugfix for ``Dataset.transpose().transpose()``.
|
||||
|
||||
|
||||
0.10.0 (2014-05-27)
|
||||
+++++++++++++++++++
|
||||
|
||||
* Unicode Column Headers
|
||||
* ALL the bugfixes!
|
||||
|
||||
0.9.11 (2011-06-30)
|
||||
+++++++++++++++++++
|
||||
|
||||
* Bugfixes
|
||||
|
||||
0.9.10 (2011-06-22)
|
||||
+++++++++++++++++++
|
||||
|
||||
* Bugfixes
|
||||
|
||||
0.9.9 (2011-06-21)
|
||||
++++++++++++++++++
|
||||
|
||||
* Dataset API Changes
|
||||
* ``stack_rows`` => ``stack``, ``stack_columns`` => ``stack_cols``
|
||||
* column operations have their own methods now (``append_col``, ``insert_col``)
|
||||
* List-style ``pop()``
|
||||
* Redis-style ``rpush``, ``lpush``, ``rpop``, ``lpop``, ``rpush_col``, and ``lpush_col``
|
||||
|
||||
0.9.8 (2011-05-22)
|
||||
++++++++++++++++++
|
||||
|
||||
* OpenDocument Spreadsheet support (.ods)
|
||||
* Full Unicode TSV support
|
||||
|
||||
|
||||
0.9.7 (2011-05-12)
|
||||
++++++++++++++++++
|
||||
|
||||
* Full XLSX Support!
|
||||
* Pickling Bugfix
|
||||
* Compat Module
|
||||
|
||||
|
||||
0.9.6 (2011-05-12)
|
||||
++++++++++++++++++
|
||||
|
||||
* ``seperators`` renamed to ``separators``
|
||||
* Full unicode CSV support
|
||||
|
||||
|
||||
0.9.5 (2011-03-24)
|
||||
++++++++++++++++++
|
||||
|
||||
* Python 3.1, Python 3.2 Support (same code base!)
|
||||
* Formatter callback support
|
||||
* Various bug fixes
|
||||
|
||||
|
||||
|
||||
0.9.4 (2011-02-18)
|
||||
++++++++++++++++++
|
||||
|
||||
* Python 2.5 Support!
|
||||
* Tox Testing for 2.5, 2.6, 2.7
|
||||
* AnyJSON Integrated
|
||||
* OrderedDict support
|
||||
* Caved to community pressure (spaces)
|
||||
|
||||
|
||||
0.9.3 (2011-01-31)
|
||||
++++++++++++++++++
|
||||
|
||||
* Databook duplication leak fix.
|
||||
* HTML Table output.
|
||||
* Added column sorting.
|
||||
|
||||
|
||||
0.9.2 (2010-11-17)
|
||||
++++++++++++++++++
|
||||
|
||||
* Transpose method added to Datasets.
|
||||
* New frozen top row in Excel output.
|
||||
* Pickling support for Datasets and Rows.
|
||||
* Support for row/column stacking.
|
||||
|
||||
|
||||
0.9.1 (2010-11-04)
|
||||
++++++++++++++++++
|
||||
|
||||
* Minor reference shadowing bugfix.
|
||||
|
||||
|
||||
0.9.0 (2010-11-04)
|
||||
++++++++++++++++++
|
||||
|
||||
* Massive documentation update!
|
||||
* Tablib.org!
|
||||
* Row tagging and Dataset filtering!
|
||||
* Column insert/delete support
|
||||
* Column append API change (header required)
|
||||
* Internal Changes (Row object and use thereof)
|
||||
|
||||
|
||||
0.8.5 (2010-10-06)
|
||||
++++++++++++++++++
|
||||
|
||||
* New import system. All dependencies attempt to load from site-packages,
|
||||
then fallback on tenderized modules.
|
||||
|
||||
|
||||
0.8.4 (2010-10-04)
|
||||
++++++++++++++++++
|
||||
|
||||
* Updated XLS output: Only wrap if '\\n' in cell.
|
||||
|
||||
|
||||
0.8.3 (2010-10-04)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
|
||||
* Ability to append new column passing a callable
|
||||
* Ability to append new column passing a callable
|
||||
as the value that will be applied to every row.
|
||||
|
||||
|
||||
0.8.2 (2010-10-04)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
|
||||
* Added alignment wrapping to written cells.
|
||||
* Added separator support to XLS.
|
||||
|
||||
|
||||
0.8.1 (2010-09-28)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
|
||||
* Packaging Fix
|
||||
|
||||
|
||||
0.8.0 (2010-09-25)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
|
||||
* New format plugin system!
|
||||
* Imports! ELEGANT Imports!
|
||||
* Tests. Lots of tests.
|
||||
|
||||
|
||||
0.7.1 (2010-09-20)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
|
||||
* Reverting methods back to properties.
|
||||
* Windows bug compenated in documentation.
|
||||
* Reverting methods back to properties.
|
||||
* Windows bug compensated in documentation.
|
||||
|
||||
|
||||
0.7.0 (2010-09-20)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
|
||||
* Renamed DataBook Databook for consistiency.
|
||||
* Renamed DataBook Databook for consistency.
|
||||
* Export properties changed to methods (XLS filename / StringIO bug).
|
||||
* Optional Dataset.xls(path='filename') support (for writing on windows).
|
||||
* Added utf-8 on the worksheet level.
|
||||
|
||||
|
||||
0.6.4 (2010-09-19)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
|
||||
* Updated unicode export for XLS.
|
||||
* More exhaustive unit tests.
|
||||
|
||||
|
||||
0.6.3 (2010-09-14)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
* Added Dataset.append() support for columns.
|
||||
|
||||
|
||||
0.6.2 (2010-09-13)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
* Fixed Dataset.append() error on empty dataset.
|
||||
* Updated Dataset.headers property w/ validation.
|
||||
* Added Testing Fixtures.
|
||||
|
||||
0.6.1 (2010-09-12)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
|
||||
* Packaging hotfixes.
|
||||
|
||||
|
||||
0.6.0 (2010-09-11)
|
||||
------------------
|
||||
++++++++++++++++++
|
||||
|
||||
* Public Release.
|
||||
* Export Support for XLS, JSON, YAML, and CSV.
|
||||
* DataBook Export for XLS, JSON, and YAML.
|
||||
* Python Dict Property Support.
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
Copyright (c) 2010 Kenneth Reitz.
|
||||
Copyright 2016 Kenneth Reitz
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
|
||||
+1
-1
@@ -1 +1 @@
|
||||
include HISTORY.rst README.rst LICENSE AUTHORS
|
||||
include HISTORY.rst README.rst LICENSE AUTHORS NOTICE test_tablib.py
|
||||
|
||||
@@ -0,0 +1,6 @@
|
||||
test:
|
||||
python test_tablib.py
|
||||
publish:
|
||||
python setup.py register
|
||||
python setup.py sdist upload
|
||||
python setup.py bdist_wheel --universal upload
|
||||
@@ -0,0 +1,6 @@
|
||||
Tablib includes some vendorized Python libraries: markup.
|
||||
|
||||
Markup License
|
||||
==============
|
||||
|
||||
Markup is in the public domain.
|
||||
+73
-82
@@ -1,55 +1,67 @@
|
||||
Tablib: format-agnostic tabular dataset library
|
||||
===============================================
|
||||
|
||||
.. image:: https://travis-ci.org/kennethreitz/tablib.svg?branch=master
|
||||
:target: https://travis-ci.org/kennethreitz/tablib
|
||||
|
||||
::
|
||||
|
||||
_____ ______ ___________ ______
|
||||
__ /_______ ____ /_ ___ /___(_)___ /_
|
||||
_ __/_ __ `/__ __ \__ / __ / __ __ \
|
||||
/ /_ / /_/ / _ /_/ /_ / _ / _ /_/ /
|
||||
\__/ \__,_/ /_.___/ /_/ /_/ /_.___/
|
||||
_____ ______ ___________ ______
|
||||
__ /_______ ____ /_ ___ /___(_)___ /_
|
||||
_ __/_ __ `/__ __ \__ / __ / __ __ \
|
||||
/ /_ / /_/ / _ /_/ /_ / _ / _ /_/ /
|
||||
\__/ \__,_/ /_.___/ /_/ /_/ /_.___/
|
||||
|
||||
|
||||
|
||||
Tablib is a format-agnostic tabular dataset library, written in Python.
|
||||
Tablib is a format-agnostic tabular dataset library, written in Python.
|
||||
|
||||
Output formats supported:
|
||||
|
||||
- Excel (Sets + Books)
|
||||
- JSON (Sets + Books)
|
||||
- YAML (Sets + Books)
|
||||
- Pandas DataFrames (Sets)
|
||||
- HTML (Sets)
|
||||
- Jira (Sets)
|
||||
- TSV (Sets)
|
||||
- ODS (Sets)
|
||||
- CSV (Sets)
|
||||
- DBF (Sets)
|
||||
|
||||
Import formats supported:
|
||||
Note that tablib *purposefully* excludes XML support. It always will. (Note: This is a joke. Pull requests are welcome.)
|
||||
|
||||
- JSON (Sets + Books)
|
||||
- YAML (Sets + Books)
|
||||
- CSV (Sets)
|
||||
|
||||
Note that tablib *purposefully* excludes XML support. It always will.
|
||||
If you're interested in financially supporting Kenneth Reitz open source, consider `visiting this link <https://cash.me/$KennethReitz>`_. Your support helps tremendously with sustainability of motivation, as Open Source is no longer part of my day job.
|
||||
|
||||
Overview
|
||||
--------
|
||||
|
||||
`tablib.Dataset()`
|
||||
A Dataset is a table of tabular data. It may or may not have a header row. They can be build and maniuplated as raw Python datatypes (Lists of tuples|dictonaries). Datasets can be imported from JSON, YAML, and CSV; they can be exported to Excel (XLS), JSON, YAML, and CSV.
|
||||
|
||||
A Dataset is a table of tabular data.
|
||||
It may or may not have a header row.
|
||||
They can be build and manipulated as raw Python datatypes (Lists of tuples|dictionaries).
|
||||
Datasets can be imported from JSON, YAML, DBF, and CSV;
|
||||
they can be exported to XLSX, XLS, ODS, JSON, YAML, DBF, CSV, TSV, and HTML.
|
||||
|
||||
`tablib.Databook()`
|
||||
A Databook is a set of Datasets. The most common form of a Databook is an Excel file with multiple spreadsheets. Databooks can be imported from JSON and YAML; they can be exported to Excel (XLS), JSON, and YAML.
|
||||
A Databook is a set of Datasets.
|
||||
The most common form of a Databook is an Excel file with multiple spreadsheets.
|
||||
Databooks can be imported from JSON and YAML;
|
||||
they can be exported to XLSX, XLS, ODS, JSON, and YAML.
|
||||
|
||||
Usage
|
||||
-----
|
||||
|
||||
|
||||
|
||||
Populate fresh data files: ::
|
||||
|
||||
|
||||
headers = ('first_name', 'last_name')
|
||||
|
||||
data = [
|
||||
('John', 'Adams'),
|
||||
('George', 'Washington')
|
||||
]
|
||||
|
||||
|
||||
data = tablib.Dataset(*data, headers=headers)
|
||||
|
||||
|
||||
@@ -59,17 +71,17 @@ Intelligently add new rows: ::
|
||||
|
||||
Intelligently add new columns: ::
|
||||
|
||||
>>> data.append(col=('age', 90, 67, 83))
|
||||
|
||||
>>> data.append_col((90, 67, 83), header='age')
|
||||
|
||||
Slice rows: ::
|
||||
|
||||
>>> print data[:2]
|
||||
>>> print(data[:2])
|
||||
[('John', 'Adams', 90), ('George', 'Washington', 67)]
|
||||
|
||||
|
||||
|
||||
Slice columns by header: ::
|
||||
|
||||
>>> print data['first_name']
|
||||
>>> print(data['first_name'])
|
||||
['John', 'George', 'Henry']
|
||||
|
||||
Easily delete rows: ::
|
||||
@@ -81,11 +93,11 @@ Exports
|
||||
|
||||
Drumroll please...........
|
||||
|
||||
JSON!
|
||||
JSON!
|
||||
+++++
|
||||
::
|
||||
|
||||
>>> print data.json
|
||||
>>> print(data.export('json'))
|
||||
[
|
||||
{
|
||||
"last_name": "Adams",
|
||||
@@ -98,91 +110,70 @@ JSON!
|
||||
"first_name": "Henry"
|
||||
}
|
||||
]
|
||||
|
||||
|
||||
YAML!
|
||||
|
||||
YAML!
|
||||
+++++
|
||||
::
|
||||
|
||||
>>> print data.yaml
|
||||
>>> print(data.export('yaml'))
|
||||
- {age: 90, first_name: John, last_name: Adams}
|
||||
- {age: 83, first_name: Henry, last_name: Ford}
|
||||
|
||||
CSV...
|
||||
|
||||
CSV...
|
||||
++++++
|
||||
::
|
||||
|
||||
>>> print data.csv
|
||||
first_name,last_name,age
|
||||
John,Adams,90
|
||||
Henry,Ford,83
|
||||
|
||||
EXCEL!
|
||||
>>> print(data.export('csv'))
|
||||
first_name,last_name,age
|
||||
John,Adams,90
|
||||
Henry,Ford,83
|
||||
|
||||
EXCEL!
|
||||
++++++
|
||||
::
|
||||
|
||||
>>> open('people.xls', 'wb').write(data.xls)
|
||||
>>> with open('people.xls', 'wb') as f:
|
||||
... f.write(data.export('xls'))
|
||||
|
||||
DBF!
|
||||
++++
|
||||
::
|
||||
|
||||
>>> with open('people.dbf', 'wb') as f:
|
||||
... f.write(data.export('dbf'))
|
||||
|
||||
Pandas DataFrame!
|
||||
+++++++++++++++++
|
||||
::
|
||||
|
||||
>>> print(data.export('df')):
|
||||
first_name last_name age
|
||||
0 John Adams 90
|
||||
1 Henry Ford 83
|
||||
|
||||
It's that easy.
|
||||
|
||||
Imports!
|
||||
--------
|
||||
|
||||
JSON
|
||||
++++
|
||||
|
||||
::
|
||||
|
||||
>>> data.json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
|
||||
>>> print data[0]
|
||||
('John', 'Adams', 90)
|
||||
|
||||
|
||||
YAML
|
||||
++++
|
||||
::
|
||||
|
||||
>>> data.yaml = '- {age: 90, first_name: John, last_name: Adams}'
|
||||
>>> print data[0]
|
||||
('John', 'Adams', 90)
|
||||
|
||||
CSV
|
||||
+++
|
||||
::
|
||||
|
||||
>>> data.yaml = 'age, first_name, last_name\n90, John, Adams'
|
||||
>>> print data[0]
|
||||
('John', 'Adams', 90)
|
||||
|
||||
>>> print data.yaml
|
||||
- {age: 90, first_name: John, last_name: Adams}
|
||||
|
||||
|
||||
|
||||
Installation
|
||||
------------
|
||||
|
||||
To install tablib, simply: ::
|
||||
|
||||
$ pip install tablib
|
||||
|
||||
Or, if you absolutely must: ::
|
||||
$ pip install tablib[pandas]
|
||||
|
||||
Make sure to check out `Tablib on PyPi <https://pypi.python.org/pypi/tablib/>`_!
|
||||
|
||||
$ easy_install tablib
|
||||
|
||||
|
||||
Contribute
|
||||
----------
|
||||
|
||||
If you'd like to contribute, simply fork `the repository`_, commit your changes to the **develop** branch (or branch off of it), and send a pull request. Make sure you add yourself to AUTHORS_.
|
||||
If you'd like to contribute, simply fork `the repository`_, commit your
|
||||
changes to the **develop** branch (or branch off of it), and send a pull
|
||||
request. Make sure you add yourself to AUTHORS_.
|
||||
|
||||
|
||||
|
||||
Roadmap
|
||||
-------
|
||||
- Release CLI Interface
|
||||
- Auto-detect import format
|
||||
- Add possible other exports (SQL?)
|
||||
- Ability to assign types to rows (set, regex=, &c.)
|
||||
|
||||
.. _`the repository`: http://github.com/kennethreitz/tablib
|
||||
.. _AUTHORS: http://github.com/kennethreitz/tablib/blob/master/AUTHORS
|
||||
|
||||
+130
@@ -0,0 +1,130 @@
|
||||
# Makefile for Sphinx documentation
|
||||
#
|
||||
|
||||
# You can set these variables from the command line.
|
||||
SPHINXOPTS =
|
||||
SPHINXBUILD = sphinx-build
|
||||
PAPER =
|
||||
BUILDDIR = _build
|
||||
|
||||
# Internal variables.
|
||||
PAPEROPT_a4 = -D latex_paper_size=a4
|
||||
PAPEROPT_letter = -D latex_paper_size=letter
|
||||
ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
|
||||
|
||||
.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest
|
||||
|
||||
help:
|
||||
@echo "Please use \`make <target>' where <target> is one of"
|
||||
@echo " html to make standalone HTML files"
|
||||
@echo " dirhtml to make HTML files named index.html in directories"
|
||||
@echo " singlehtml to make a single large HTML file"
|
||||
@echo " pickle to make pickle files"
|
||||
@echo " json to make JSON files"
|
||||
@echo " htmlhelp to make HTML files and a HTML help project"
|
||||
@echo " qthelp to make HTML files and a qthelp project"
|
||||
@echo " devhelp to make HTML files and a Devhelp project"
|
||||
@echo " epub to make an epub"
|
||||
@echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter"
|
||||
@echo " latexpdf to make LaTeX files and run them through pdflatex"
|
||||
@echo " text to make text files"
|
||||
@echo " man to make manual pages"
|
||||
@echo " changes to make an overview of all changed/added/deprecated items"
|
||||
@echo " linkcheck to check all external links for integrity"
|
||||
@echo " doctest to run all doctests embedded in the documentation (if enabled)"
|
||||
|
||||
clean:
|
||||
-rm -rf $(BUILDDIR)/*
|
||||
|
||||
html:
|
||||
$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html
|
||||
@echo
|
||||
@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."
|
||||
|
||||
dirhtml:
|
||||
$(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml
|
||||
@echo
|
||||
@echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml."
|
||||
|
||||
singlehtml:
|
||||
$(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml
|
||||
@echo
|
||||
@echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml."
|
||||
|
||||
pickle:
|
||||
$(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle
|
||||
@echo
|
||||
@echo "Build finished; now you can process the pickle files."
|
||||
|
||||
json:
|
||||
$(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json
|
||||
@echo
|
||||
@echo "Build finished; now you can process the JSON files."
|
||||
|
||||
htmlhelp:
|
||||
$(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp
|
||||
@echo
|
||||
@echo "Build finished; now you can run HTML Help Workshop with the" \
|
||||
".hhp project file in $(BUILDDIR)/htmlhelp."
|
||||
|
||||
qthelp:
|
||||
$(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp
|
||||
@echo
|
||||
@echo "Build finished; now you can run "qcollectiongenerator" with the" \
|
||||
".qhcp project file in $(BUILDDIR)/qthelp, like this:"
|
||||
@echo "# qcollectiongenerator $(BUILDDIR)/qthelp/Tablib.qhcp"
|
||||
@echo "To view the help file:"
|
||||
@echo "# assistant -collectionFile $(BUILDDIR)/qthelp/Tablib.qhc"
|
||||
|
||||
devhelp:
|
||||
$(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp
|
||||
@echo
|
||||
@echo "Build finished."
|
||||
@echo "To view the help file:"
|
||||
@echo "# mkdir -p $$HOME/.local/share/devhelp/Tablib"
|
||||
@echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/Tablib"
|
||||
@echo "# devhelp"
|
||||
|
||||
epub:
|
||||
$(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub
|
||||
@echo
|
||||
@echo "Build finished. The epub file is in $(BUILDDIR)/epub."
|
||||
|
||||
latex:
|
||||
$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
|
||||
@echo
|
||||
@echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex."
|
||||
@echo "Run \`make' in that directory to run these through (pdf)latex" \
|
||||
"(use \`make latexpdf' here to do that automatically)."
|
||||
|
||||
latexpdf:
|
||||
$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
|
||||
@echo "Running LaTeX files through pdflatex..."
|
||||
make -C $(BUILDDIR)/latex all-pdf
|
||||
@echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex."
|
||||
|
||||
text:
|
||||
$(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text
|
||||
@echo
|
||||
@echo "Build finished. The text files are in $(BUILDDIR)/text."
|
||||
|
||||
man:
|
||||
$(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man
|
||||
@echo
|
||||
@echo "Build finished. The manual pages are in $(BUILDDIR)/man."
|
||||
|
||||
changes:
|
||||
$(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes
|
||||
@echo
|
||||
@echo "The overview file is in $(BUILDDIR)/changes."
|
||||
|
||||
linkcheck:
|
||||
$(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck
|
||||
@echo
|
||||
@echo "Link check complete; look for any errors in the above output " \
|
||||
"or in $(BUILDDIR)/linkcheck/output.txt."
|
||||
|
||||
doctest:
|
||||
$(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest
|
||||
@echo "Testing of doctests in the sources finished, look at the " \
|
||||
"results in $(BUILDDIR)/doctest/output.txt."
|
||||
Vendored
+20
@@ -0,0 +1,20 @@
|
||||
<h3><a href="http://docs.python-tablib.org">About Tablib</a></h3>
|
||||
<p>
|
||||
Tablib is an MIT Licensed format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags & filtering, and seamless format import & export.
|
||||
</p>
|
||||
|
||||
<h3>Feedback</h3>
|
||||
<p>
|
||||
Feedback is greatly appreciated. If you have any questions, comments,
|
||||
random praise, or anonymous threats, <a href="mailto:me@kennethreitz.com">
|
||||
shoot me an email</a>.
|
||||
</p>
|
||||
|
||||
|
||||
<h3>Useful Links</h3>
|
||||
<ul>
|
||||
<li><a href="http://docs.python-tablib.org/">The Tablib Website</a></li>
|
||||
<li><a href="http://pypi.python.org/pypi/tablib">Tablib @ PyPI</a></li>
|
||||
<li><a href="http://github.com/kennethreitz/tablib">Tablib @ GitHub</a></li>
|
||||
<li><a href="http://github.com/kennethreitz/tablib/issues">Issue Tracker</a></li>
|
||||
</ul>
|
||||
Vendored
+4
@@ -0,0 +1,4 @@
|
||||
<h3><a href="http://docs.python-tablib.org/">About Tablib</a></h3>
|
||||
<p>
|
||||
Tablib is an MIT Licensed format-agnostic tabular dataset library, written in Python. It allows you to import, export, and manipulate tabular data sets. Advanced features include, segregation, dynamic columns, tags & filtering, and seamless format import & export.
|
||||
</p>
|
||||
@@ -0,0 +1,3 @@
|
||||
*.pyc
|
||||
*.pyo
|
||||
.DS_Store
|
||||
Vendored
+45
@@ -0,0 +1,45 @@
|
||||
Modifications:
|
||||
|
||||
Copyright (c) 2011 Kenneth Reitz.
|
||||
|
||||
|
||||
Original Project:
|
||||
|
||||
Copyright (c) 2010 by Armin Ronacher.
|
||||
|
||||
|
||||
Some rights reserved.
|
||||
|
||||
Redistribution and use in source and binary forms of the theme, with or
|
||||
without modification, are permitted provided that the following conditions
|
||||
are met:
|
||||
|
||||
* 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.
|
||||
|
||||
* The names of the contributors may not be used to endorse or
|
||||
promote products derived from this software without specific
|
||||
prior written permission.
|
||||
|
||||
We kindly ask you to only use these themes in an unmodified manner just
|
||||
for Flask and Flask-related products, not for unrelated projects. If you
|
||||
like the visual style and want to use it for your own projects, please
|
||||
consider making some larger changes to the themes (such as changing
|
||||
font faces, sizes, colors or margins).
|
||||
|
||||
THIS THEME 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 THEME, EVEN IF ADVISED OF THE
|
||||
POSSIBILITY OF SUCH DAMAGE.
|
||||
Vendored
+24
@@ -0,0 +1,24 @@
|
||||
krTheme Sphinx Style
|
||||
====================
|
||||
|
||||
This repository contains sphinx styles Kenneth Reitz uses in most of
|
||||
his projects. It is a drivative of Mitsuhiko's themes for Flask and Flask related
|
||||
projects. To use this style in your Sphinx documentation, follow
|
||||
this guide:
|
||||
|
||||
1. put this folder as _themes into your docs folder. Alternatively
|
||||
you can also use git submodules to check out the contents there.
|
||||
|
||||
2. add this to your conf.py: ::
|
||||
|
||||
sys.path.append(os.path.abspath('_themes'))
|
||||
html_theme_path = ['_themes']
|
||||
html_theme = 'flask'
|
||||
|
||||
The following themes exist:
|
||||
|
||||
**kr**
|
||||
the standard flask documentation theme for large projects
|
||||
|
||||
**kr_small**
|
||||
small one-page theme. Intended to be used by very small addon libraries.
|
||||
Vendored
+86
@@ -0,0 +1,86 @@
|
||||
# flasky extensions. flasky pygments style based on tango style
|
||||
from pygments.style import Style
|
||||
from pygments.token import Keyword, Name, Comment, String, Error, \
|
||||
Number, Operator, Generic, Whitespace, Punctuation, Other, Literal
|
||||
|
||||
|
||||
class FlaskyStyle(Style):
|
||||
background_color = "#f8f8f8"
|
||||
default_style = ""
|
||||
|
||||
styles = {
|
||||
# No corresponding class for the following:
|
||||
#Text: "", # class: ''
|
||||
Whitespace: "underline #f8f8f8", # class: 'w'
|
||||
Error: "#a40000 border:#ef2929", # class: 'err'
|
||||
Other: "#000000", # class 'x'
|
||||
|
||||
Comment: "italic #8f5902", # class: 'c'
|
||||
Comment.Preproc: "noitalic", # class: 'cp'
|
||||
|
||||
Keyword: "bold #004461", # class: 'k'
|
||||
Keyword.Constant: "bold #004461", # class: 'kc'
|
||||
Keyword.Declaration: "bold #004461", # class: 'kd'
|
||||
Keyword.Namespace: "bold #004461", # class: 'kn'
|
||||
Keyword.Pseudo: "bold #004461", # class: 'kp'
|
||||
Keyword.Reserved: "bold #004461", # class: 'kr'
|
||||
Keyword.Type: "bold #004461", # class: 'kt'
|
||||
|
||||
Operator: "#582800", # class: 'o'
|
||||
Operator.Word: "bold #004461", # class: 'ow' - like keywords
|
||||
|
||||
Punctuation: "bold #000000", # class: 'p'
|
||||
|
||||
# because special names such as Name.Class, Name.Function, etc.
|
||||
# are not recognized as such later in the parsing, we choose them
|
||||
# to look the same as ordinary variables.
|
||||
Name: "#000000", # class: 'n'
|
||||
Name.Attribute: "#c4a000", # class: 'na' - to be revised
|
||||
Name.Builtin: "#004461", # class: 'nb'
|
||||
Name.Builtin.Pseudo: "#3465a4", # class: 'bp'
|
||||
Name.Class: "#000000", # class: 'nc' - to be revised
|
||||
Name.Constant: "#000000", # class: 'no' - to be revised
|
||||
Name.Decorator: "#888", # class: 'nd' - to be revised
|
||||
Name.Entity: "#ce5c00", # class: 'ni'
|
||||
Name.Exception: "bold #cc0000", # class: 'ne'
|
||||
Name.Function: "#000000", # class: 'nf'
|
||||
Name.Property: "#000000", # class: 'py'
|
||||
Name.Label: "#f57900", # class: 'nl'
|
||||
Name.Namespace: "#000000", # class: 'nn' - to be revised
|
||||
Name.Other: "#000000", # class: 'nx'
|
||||
Name.Tag: "bold #004461", # class: 'nt' - like a keyword
|
||||
Name.Variable: "#000000", # class: 'nv' - to be revised
|
||||
Name.Variable.Class: "#000000", # class: 'vc' - to be revised
|
||||
Name.Variable.Global: "#000000", # class: 'vg' - to be revised
|
||||
Name.Variable.Instance: "#000000", # class: 'vi' - to be revised
|
||||
|
||||
Number: "#990000", # class: 'm'
|
||||
|
||||
Literal: "#000000", # class: 'l'
|
||||
Literal.Date: "#000000", # class: 'ld'
|
||||
|
||||
String: "#4e9a06", # class: 's'
|
||||
String.Backtick: "#4e9a06", # class: 'sb'
|
||||
String.Char: "#4e9a06", # class: 'sc'
|
||||
String.Doc: "italic #8f5902", # class: 'sd' - like a comment
|
||||
String.Double: "#4e9a06", # class: 's2'
|
||||
String.Escape: "#4e9a06", # class: 'se'
|
||||
String.Heredoc: "#4e9a06", # class: 'sh'
|
||||
String.Interpol: "#4e9a06", # class: 'si'
|
||||
String.Other: "#4e9a06", # class: 'sx'
|
||||
String.Regex: "#4e9a06", # class: 'sr'
|
||||
String.Single: "#4e9a06", # class: 's1'
|
||||
String.Symbol: "#4e9a06", # class: 'ss'
|
||||
|
||||
Generic: "#000000", # class: 'g'
|
||||
Generic.Deleted: "#a40000", # class: 'gd'
|
||||
Generic.Emph: "italic #000000", # class: 'ge'
|
||||
Generic.Error: "#ef2929", # class: 'gr'
|
||||
Generic.Heading: "bold #000080", # class: 'gh'
|
||||
Generic.Inserted: "#00A000", # class: 'gi'
|
||||
Generic.Output: "#888", # class: 'go'
|
||||
Generic.Prompt: "#745334", # class: 'gp'
|
||||
Generic.Strong: "bold #000000", # class: 'gs'
|
||||
Generic.Subheading: "bold #800080", # class: 'gu'
|
||||
Generic.Traceback: "bold #a40000", # class: 'gt'
|
||||
}
|
||||
Vendored
+54
@@ -0,0 +1,54 @@
|
||||
{%- extends "basic/layout.html" %}
|
||||
{%- block extrahead %}
|
||||
{{ super() }}
|
||||
{% if theme_touch_icon %}
|
||||
<link rel="apple-touch-icon" href="{{ pathto('_static/' ~ theme_touch_icon, 1) }}" />
|
||||
{% endif %}
|
||||
<link media="only screen and (max-device-width: 480px)" href="{{
|
||||
pathto('_static/small_flask.css', 1) }}" type= "text/css" rel="stylesheet" />
|
||||
{% endblock %}
|
||||
{%- block relbar2 %}{% endblock %}
|
||||
{%- block footer %}
|
||||
<div class="footer">
|
||||
© Copyright {{ copyright }}.
|
||||
</div>
|
||||
<a href="https://github.com/kennethreitz/tablib">
|
||||
<img style="position: absolute; top: 0; right: 0; border: 0;" src="//s3.amazonaws.com/github/ribbons/forkme_right_darkblue_121621.png" alt="Fork me on GitHub" />
|
||||
</a>
|
||||
|
||||
<script type="text/javascript" src="//www.hellobar.com/hellobar.js"></script>
|
||||
<script type="text/javascript">
|
||||
new HelloBar(36402,48802);
|
||||
</script>
|
||||
|
||||
<script type="text/javascript">
|
||||
|
||||
var _gaq = _gaq || [];
|
||||
_gaq.push(['_setAccount', 'UA-8742933-9']);
|
||||
_gaq.push(['_setDomainName', 'none']);
|
||||
_gaq.push(['_setAllowLinker', true]);
|
||||
_gaq.push(['_trackPageview']);
|
||||
|
||||
(function() {
|
||||
var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
|
||||
ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
|
||||
var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
|
||||
})();
|
||||
|
||||
</script>
|
||||
|
||||
<script type="text/javascript">
|
||||
(function() {
|
||||
var t = document.createElement('script');
|
||||
t.type = 'text/javascript';
|
||||
t.async = true;
|
||||
t.id = 'gauges-tracker';
|
||||
t.setAttribute('data-site-id',
|
||||
'4ddc284f613f5d2f1a000001');
|
||||
t.src = '//secure.gaug.es/track.js';
|
||||
var s = document.getElementsByTagName('script')[0];
|
||||
s.parentNode.insertBefore(t, s);
|
||||
})();
|
||||
</script>
|
||||
|
||||
{%- endblock %}
|
||||
Vendored
+19
@@ -0,0 +1,19 @@
|
||||
<h3>Related Topics</h3>
|
||||
<ul>
|
||||
<li><a href="{{ pathto(master_doc) }}">Documentation overview</a><ul>
|
||||
{%- for parent in parents %}
|
||||
<li><a href="{{ parent.link|e }}">{{ parent.title }}</a><ul>
|
||||
{%- endfor %}
|
||||
{%- if prev %}
|
||||
<li>Previous: <a href="{{ prev.link|e }}" title="{{ _('previous chapter')
|
||||
}}">{{ prev.title }}</a></li>
|
||||
{%- endif %}
|
||||
{%- if next %}
|
||||
<li>Next: <a href="{{ next.link|e }}" title="{{ _('next chapter')
|
||||
}}">{{ next.title }}</a></li>
|
||||
{%- endif %}
|
||||
{%- for parent in parents %}
|
||||
</ul></li>
|
||||
{%- endfor %}
|
||||
</ul></li>
|
||||
</ul>
|
||||
Vendored
+470
@@ -0,0 +1,470 @@
|
||||
/*
|
||||
* flasky.css_t
|
||||
* ~~~~~~~~~~~~
|
||||
*
|
||||
* :copyright: Copyright 2010 by Armin Ronacher. Modifications by Kenneth Reitz.
|
||||
* :license: Flask Design License, see LICENSE for details.
|
||||
*/
|
||||
|
||||
{% set page_width = '940px' %}
|
||||
{% set sidebar_width = '220px' %}
|
||||
|
||||
@import url("basic.css");
|
||||
|
||||
/* -- page layout ----------------------------------------------------------- */
|
||||
|
||||
body {
|
||||
font-family: 'goudy old style', 'minion pro', 'bell mt', Georgia, 'Hiragino Mincho Pro';
|
||||
font-size: 17px;
|
||||
background-color: white;
|
||||
color: #000;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
div.document {
|
||||
width: {{ page_width }};
|
||||
margin: 30px auto 0 auto;
|
||||
}
|
||||
|
||||
div.documentwrapper {
|
||||
float: left;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
div.bodywrapper {
|
||||
margin: 0 0 0 {{ sidebar_width }};
|
||||
}
|
||||
|
||||
div.sphinxsidebar {
|
||||
width: {{ sidebar_width }};
|
||||
}
|
||||
|
||||
hr {
|
||||
border: 1px solid #B1B4B6;
|
||||
}
|
||||
|
||||
div.body {
|
||||
background-color: #ffffff;
|
||||
color: #3E4349;
|
||||
padding: 0 30px 0 30px;
|
||||
}
|
||||
|
||||
img.floatingflask {
|
||||
padding: 0 0 10px 10px;
|
||||
float: right;
|
||||
}
|
||||
|
||||
div.footer {
|
||||
width: {{ page_width }};
|
||||
margin: 20px auto 30px auto;
|
||||
font-size: 14px;
|
||||
color: #888;
|
||||
text-align: right;
|
||||
}
|
||||
|
||||
div.footer a {
|
||||
color: #888;
|
||||
}
|
||||
|
||||
div.related {
|
||||
display: none;
|
||||
}
|
||||
|
||||
div.sphinxsidebar a {
|
||||
color: #444;
|
||||
text-decoration: none;
|
||||
border-bottom: 1px dotted #999;
|
||||
}
|
||||
|
||||
div.sphinxsidebar a:hover {
|
||||
border-bottom: 1px solid #999;
|
||||
}
|
||||
|
||||
div.sphinxsidebar {
|
||||
font-size: 14px;
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
div.sphinxsidebarwrapper {
|
||||
padding: 18px 10px;
|
||||
}
|
||||
|
||||
div.sphinxsidebarwrapper p.logo {
|
||||
padding: 0 0 20px 0;
|
||||
margin: 0;
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
div.sphinxsidebar h3,
|
||||
div.sphinxsidebar h4 {
|
||||
font-family: 'Garamond', 'Georgia', serif;
|
||||
color: #444;
|
||||
font-size: 24px;
|
||||
font-weight: normal;
|
||||
margin: 0 0 5px 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
div.sphinxsidebar h4 {
|
||||
font-size: 20px;
|
||||
}
|
||||
|
||||
div.sphinxsidebar h3 a {
|
||||
color: #444;
|
||||
}
|
||||
|
||||
div.sphinxsidebar p.logo a,
|
||||
div.sphinxsidebar h3 a,
|
||||
div.sphinxsidebar p.logo a:hover,
|
||||
div.sphinxsidebar h3 a:hover {
|
||||
border: none;
|
||||
}
|
||||
|
||||
div.sphinxsidebar p {
|
||||
color: #555;
|
||||
margin: 10px 0;
|
||||
}
|
||||
|
||||
div.sphinxsidebar ul {
|
||||
margin: 10px 0;
|
||||
padding: 0;
|
||||
color: #000;
|
||||
}
|
||||
|
||||
div.sphinxsidebar input {
|
||||
border: 1px solid #ccc;
|
||||
font-family: 'Georgia', serif;
|
||||
font-size: 1em;
|
||||
}
|
||||
|
||||
/* -- body styles ----------------------------------------------------------- */
|
||||
|
||||
a {
|
||||
color: #004B6B;
|
||||
text-decoration: underline;
|
||||
}
|
||||
|
||||
a:hover {
|
||||
color: #6D4100;
|
||||
text-decoration: underline;
|
||||
}
|
||||
|
||||
div.body h1,
|
||||
div.body h2,
|
||||
div.body h3,
|
||||
div.body h4,
|
||||
div.body h5,
|
||||
div.body h6 {
|
||||
font-family: 'Garamond', 'Georgia', serif;
|
||||
font-weight: normal;
|
||||
margin: 30px 0px 10px 0px;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
div.body h1 { margin-top: 0; padding-top: 0; font-size: 240%; }
|
||||
div.body h2 { font-size: 180%; }
|
||||
div.body h3 { font-size: 150%; }
|
||||
div.body h4 { font-size: 130%; }
|
||||
div.body h5 { font-size: 100%; }
|
||||
div.body h6 { font-size: 100%; }
|
||||
|
||||
a.headerlink {
|
||||
color: #ddd;
|
||||
padding: 0 4px;
|
||||
text-decoration: none;
|
||||
}
|
||||
|
||||
a.headerlink:hover {
|
||||
color: #444;
|
||||
background: #eaeaea;
|
||||
}
|
||||
|
||||
div.body p, div.body dd, div.body li {
|
||||
line-height: 1.4em;
|
||||
}
|
||||
|
||||
div.admonition {
|
||||
background: #fafafa;
|
||||
margin: 20px -30px;
|
||||
padding: 10px 30px;
|
||||
border-top: 1px solid #ccc;
|
||||
border-bottom: 1px solid #ccc;
|
||||
}
|
||||
|
||||
div.admonition tt.xref, div.admonition a tt {
|
||||
border-bottom: 1px solid #fafafa;
|
||||
}
|
||||
|
||||
dd div.admonition {
|
||||
margin-left: -60px;
|
||||
padding-left: 60px;
|
||||
}
|
||||
|
||||
div.admonition p.admonition-title {
|
||||
font-family: 'Garamond', 'Georgia', serif;
|
||||
font-weight: normal;
|
||||
font-size: 24px;
|
||||
margin: 0 0 10px 0;
|
||||
padding: 0;
|
||||
line-height: 1;
|
||||
}
|
||||
|
||||
div.admonition p.last {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
div.highlight {
|
||||
background-color: white;
|
||||
}
|
||||
|
||||
dt:target, .highlight {
|
||||
background: #FAF3E8;
|
||||
}
|
||||
|
||||
div.note {
|
||||
background-color: #eee;
|
||||
border: 1px solid #ccc;
|
||||
}
|
||||
|
||||
div.seealso {
|
||||
background-color: #ffc;
|
||||
border: 1px solid #ff6;
|
||||
}
|
||||
|
||||
div.topic {
|
||||
background-color: #eee;
|
||||
}
|
||||
|
||||
p.admonition-title {
|
||||
display: inline;
|
||||
}
|
||||
|
||||
p.admonition-title:after {
|
||||
content: ":";
|
||||
}
|
||||
|
||||
pre, tt {
|
||||
font-family: 'Consolas', 'Menlo', 'Deja Vu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
|
||||
font-size: 0.9em;
|
||||
}
|
||||
|
||||
img.screenshot {
|
||||
}
|
||||
|
||||
tt.descname, tt.descclassname {
|
||||
font-size: 0.95em;
|
||||
}
|
||||
|
||||
tt.descname {
|
||||
padding-right: 0.08em;
|
||||
}
|
||||
|
||||
img.screenshot {
|
||||
-moz-box-shadow: 2px 2px 4px #eee;
|
||||
-webkit-box-shadow: 2px 2px 4px #eee;
|
||||
box-shadow: 2px 2px 4px #eee;
|
||||
}
|
||||
|
||||
table.docutils {
|
||||
border: 1px solid #888;
|
||||
-moz-box-shadow: 2px 2px 4px #eee;
|
||||
-webkit-box-shadow: 2px 2px 4px #eee;
|
||||
box-shadow: 2px 2px 4px #eee;
|
||||
}
|
||||
|
||||
table.docutils td, table.docutils th {
|
||||
border: 1px solid #888;
|
||||
padding: 0.25em 0.7em;
|
||||
}
|
||||
|
||||
table.field-list, table.footnote {
|
||||
border: none;
|
||||
-moz-box-shadow: none;
|
||||
-webkit-box-shadow: none;
|
||||
box-shadow: none;
|
||||
}
|
||||
|
||||
table.footnote {
|
||||
margin: 15px 0;
|
||||
width: 100%;
|
||||
border: 1px solid #eee;
|
||||
background: #fdfdfd;
|
||||
font-size: 0.9em;
|
||||
}
|
||||
|
||||
table.footnote + table.footnote {
|
||||
margin-top: -15px;
|
||||
border-top: none;
|
||||
}
|
||||
|
||||
table.field-list th {
|
||||
padding: 0 0.8em 0 0;
|
||||
}
|
||||
|
||||
table.field-list td {
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
table.footnote td.label {
|
||||
width: 0px;
|
||||
padding: 0.3em 0 0.3em 0.5em;
|
||||
}
|
||||
|
||||
table.footnote td {
|
||||
padding: 0.3em 0.5em;
|
||||
}
|
||||
|
||||
dl {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
dl dd {
|
||||
margin-left: 30px;
|
||||
}
|
||||
|
||||
blockquote {
|
||||
margin: 0 0 0 30px;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
ul, ol {
|
||||
margin: 10px 0 10px 30px;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
pre {
|
||||
background: #eee;
|
||||
padding: 7px 30px;
|
||||
margin: 15px -30px;
|
||||
line-height: 1.3em;
|
||||
}
|
||||
|
||||
dl pre, blockquote pre, li pre {
|
||||
margin-left: -60px;
|
||||
padding-left: 60px;
|
||||
}
|
||||
|
||||
dl dl pre {
|
||||
margin-left: -90px;
|
||||
padding-left: 90px;
|
||||
}
|
||||
|
||||
tt {
|
||||
background-color: #ecf0f3;
|
||||
color: #222;
|
||||
/* padding: 1px 2px; */
|
||||
}
|
||||
|
||||
tt.xref, a tt {
|
||||
background-color: #FBFBFB;
|
||||
border-bottom: 1px solid white;
|
||||
}
|
||||
|
||||
a.reference {
|
||||
text-decoration: none;
|
||||
border-bottom: 1px dotted #004B6B;
|
||||
}
|
||||
|
||||
a.reference:hover {
|
||||
border-bottom: 1px solid #6D4100;
|
||||
}
|
||||
|
||||
a.footnote-reference {
|
||||
text-decoration: none;
|
||||
font-size: 0.7em;
|
||||
vertical-align: top;
|
||||
border-bottom: 1px dotted #004B6B;
|
||||
}
|
||||
|
||||
a.footnote-reference:hover {
|
||||
border-bottom: 1px solid #6D4100;
|
||||
}
|
||||
|
||||
a:hover tt {
|
||||
background: #EEE;
|
||||
}
|
||||
|
||||
|
||||
@media screen and (max-width: 600px) {
|
||||
|
||||
div.sphinxsidebar {
|
||||
display: none;
|
||||
}
|
||||
|
||||
div.documentwrapper {
|
||||
margin-left: 0;
|
||||
margin-top: 0;
|
||||
margin-right: 0;
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
div.bodywrapper {
|
||||
margin-top: 0;
|
||||
margin-right: 0;
|
||||
margin-bottom: 0;
|
||||
margin-left: 0;
|
||||
}
|
||||
|
||||
ul {
|
||||
margin-left: 0;
|
||||
}
|
||||
|
||||
.document {
|
||||
width: auto;
|
||||
}
|
||||
|
||||
.bodywrapper {
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.footer {
|
||||
width: auto;
|
||||
}
|
||||
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
|
||||
/* scrollbars */
|
||||
|
||||
::-webkit-scrollbar {
|
||||
width: 6px;
|
||||
height: 6px;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-button:start:decrement,
|
||||
::-webkit-scrollbar-button:end:increment {
|
||||
display: block;
|
||||
height: 10px;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-button:vertical:increment {
|
||||
background-color: #fff;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-track-piece {
|
||||
background-color: #eee;
|
||||
-webkit-border-radius: 3px;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-thumb:vertical {
|
||||
height: 50px;
|
||||
background-color: #ccc;
|
||||
-webkit-border-radius: 3px;
|
||||
}
|
||||
|
||||
::-webkit-scrollbar-thumb:horizontal {
|
||||
width: 50px;
|
||||
background-color: #ccc;
|
||||
-webkit-border-radius: 3px;
|
||||
}
|
||||
|
||||
/* misc. */
|
||||
|
||||
.revsys-inline {
|
||||
display: none!important;
|
||||
}
|
||||
+70
@@ -0,0 +1,70 @@
|
||||
/*
|
||||
* small_flask.css_t
|
||||
* ~~~~~~~~~~~~~~~~~
|
||||
*
|
||||
* :copyright: Copyright 2010 by Armin Ronacher.
|
||||
* :license: Flask Design License, see LICENSE for details.
|
||||
*/
|
||||
|
||||
body {
|
||||
margin: 0;
|
||||
padding: 20px 30px;
|
||||
}
|
||||
|
||||
div.documentwrapper {
|
||||
float: none;
|
||||
background: white;
|
||||
}
|
||||
|
||||
div.sphinxsidebar {
|
||||
display: block;
|
||||
float: none;
|
||||
width: 102.5%;
|
||||
margin: 50px -30px -20px -30px;
|
||||
padding: 10px 20px;
|
||||
background: #333;
|
||||
color: white;
|
||||
}
|
||||
|
||||
div.sphinxsidebar h3, div.sphinxsidebar h4, div.sphinxsidebar p,
|
||||
div.sphinxsidebar h3 a {
|
||||
color: white;
|
||||
}
|
||||
|
||||
div.sphinxsidebar a {
|
||||
color: #aaa;
|
||||
}
|
||||
|
||||
div.sphinxsidebar p.logo {
|
||||
display: none;
|
||||
}
|
||||
|
||||
div.document {
|
||||
width: 100%;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
div.related {
|
||||
display: block;
|
||||
margin: 0;
|
||||
padding: 10px 0 20px 0;
|
||||
}
|
||||
|
||||
div.related ul,
|
||||
div.related ul li {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
div.footer {
|
||||
display: none;
|
||||
}
|
||||
|
||||
div.bodywrapper {
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
div.body {
|
||||
min-height: 0;
|
||||
padding: 0;
|
||||
}
|
||||
Vendored
+7
@@ -0,0 +1,7 @@
|
||||
[theme]
|
||||
inherit = basic
|
||||
stylesheet = flasky.css
|
||||
pygments_style = flask_theme_support.FlaskyStyle
|
||||
|
||||
[options]
|
||||
touch_icon =
|
||||
Vendored
+22
@@ -0,0 +1,22 @@
|
||||
{% extends "basic/layout.html" %}
|
||||
{% block header %}
|
||||
{{ super() }}
|
||||
{% if pagename == 'index' %}
|
||||
<div class=indexwrapper>
|
||||
{% endif %}
|
||||
{% endblock %}
|
||||
{% block footer %}
|
||||
{% if pagename == 'index' %}
|
||||
</div>
|
||||
{% endif %}
|
||||
{% endblock %}
|
||||
{# do not display relbars #}
|
||||
{% block relbar1 %}{% endblock %}
|
||||
{% block relbar2 %}
|
||||
{% if theme_github_fork %}
|
||||
<a href="https://github.com/{{ theme_github_fork }}"><img style="position: fixed; top: 0; right: 0; border: 0;"
|
||||
src="//s3.amazonaws.com/github/ribbons/forkme_right_darkblue_121621.png" alt="Fork me on GitHub" /></a>
|
||||
{% endif %}
|
||||
{% endblock %}
|
||||
{% block sidebar1 %}{% endblock %}
|
||||
{% block sidebar2 %}{% endblock %}
|
||||
+287
@@ -0,0 +1,287 @@
|
||||
/*
|
||||
* flasky.css_t
|
||||
* ~~~~~~~~~~~~
|
||||
*
|
||||
* Sphinx stylesheet -- flasky theme based on nature theme.
|
||||
*
|
||||
* :copyright: Copyright 2007-2010 by the Sphinx team, see AUTHORS.
|
||||
* :license: BSD, see LICENSE for details.
|
||||
*
|
||||
*/
|
||||
|
||||
@import url("basic.css");
|
||||
|
||||
/* -- page layout ----------------------------------------------------------- */
|
||||
|
||||
body {
|
||||
font-family: 'Georgia', serif;
|
||||
font-size: 17px;
|
||||
color: #000;
|
||||
background: white;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
div.documentwrapper {
|
||||
float: left;
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
div.bodywrapper {
|
||||
margin: 40px auto 0 auto;
|
||||
width: 700px;
|
||||
}
|
||||
|
||||
hr {
|
||||
border: 1px solid #B1B4B6;
|
||||
}
|
||||
|
||||
div.body {
|
||||
background-color: #ffffff;
|
||||
color: #3E4349;
|
||||
padding: 0 30px 30px 30px;
|
||||
}
|
||||
|
||||
img.floatingflask {
|
||||
padding: 0 0 10px 10px;
|
||||
float: right;
|
||||
}
|
||||
|
||||
div.footer {
|
||||
text-align: right;
|
||||
color: #888;
|
||||
padding: 10px;
|
||||
font-size: 14px;
|
||||
width: 650px;
|
||||
margin: 0 auto 40px auto;
|
||||
}
|
||||
|
||||
div.footer a {
|
||||
color: #888;
|
||||
text-decoration: underline;
|
||||
}
|
||||
|
||||
div.related {
|
||||
line-height: 32px;
|
||||
color: #888;
|
||||
}
|
||||
|
||||
div.related ul {
|
||||
padding: 0 0 0 10px;
|
||||
}
|
||||
|
||||
div.related a {
|
||||
color: #444;
|
||||
}
|
||||
|
||||
/* -- body styles ----------------------------------------------------------- */
|
||||
|
||||
a {
|
||||
color: #004B6B;
|
||||
text-decoration: underline;
|
||||
}
|
||||
|
||||
a:hover {
|
||||
color: #6D4100;
|
||||
text-decoration: underline;
|
||||
}
|
||||
|
||||
div.body {
|
||||
padding-bottom: 40px; /* saved for footer */
|
||||
}
|
||||
|
||||
div.body h1,
|
||||
div.body h2,
|
||||
div.body h3,
|
||||
div.body h4,
|
||||
div.body h5,
|
||||
div.body h6 {
|
||||
font-family: 'Garamond', 'Georgia', serif;
|
||||
font-weight: normal;
|
||||
margin: 30px 0px 10px 0px;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
{% if theme_index_logo %}
|
||||
div.indexwrapper h1 {
|
||||
text-indent: -999999px;
|
||||
background: url({{ theme_index_logo }}) no-repeat center center;
|
||||
height: {{ theme_index_logo_height }};
|
||||
}
|
||||
{% endif %}
|
||||
|
||||
div.body h2 { font-size: 180%; }
|
||||
div.body h3 { font-size: 150%; }
|
||||
div.body h4 { font-size: 130%; }
|
||||
div.body h5 { font-size: 100%; }
|
||||
div.body h6 { font-size: 100%; }
|
||||
|
||||
a.headerlink {
|
||||
color: white;
|
||||
padding: 0 4px;
|
||||
text-decoration: none;
|
||||
}
|
||||
|
||||
a.headerlink:hover {
|
||||
color: #444;
|
||||
background: #eaeaea;
|
||||
}
|
||||
|
||||
div.body p, div.body dd, div.body li {
|
||||
line-height: 1.4em;
|
||||
}
|
||||
|
||||
div.admonition {
|
||||
background: #fafafa;
|
||||
margin: 20px -30px;
|
||||
padding: 10px 30px;
|
||||
border-top: 1px solid #ccc;
|
||||
border-bottom: 1px solid #ccc;
|
||||
}
|
||||
|
||||
div.admonition p.admonition-title {
|
||||
font-family: 'Garamond', 'Georgia', serif;
|
||||
font-weight: normal;
|
||||
font-size: 24px;
|
||||
margin: 0 0 10px 0;
|
||||
padding: 0;
|
||||
line-height: 1;
|
||||
}
|
||||
|
||||
div.admonition p.last {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
div.highlight{
|
||||
background-color: white;
|
||||
}
|
||||
|
||||
dt:target, .highlight {
|
||||
background: #FAF3E8;
|
||||
}
|
||||
|
||||
div.note {
|
||||
background-color: #eee;
|
||||
border: 1px solid #ccc;
|
||||
}
|
||||
|
||||
div.seealso {
|
||||
background-color: #ffc;
|
||||
border: 1px solid #ff6;
|
||||
}
|
||||
|
||||
div.topic {
|
||||
background-color: #eee;
|
||||
}
|
||||
|
||||
div.warning {
|
||||
background-color: #ffe4e4;
|
||||
border: 1px solid #f66;
|
||||
}
|
||||
|
||||
p.admonition-title {
|
||||
display: inline;
|
||||
}
|
||||
|
||||
p.admonition-title:after {
|
||||
content: ":";
|
||||
}
|
||||
|
||||
pre, tt {
|
||||
font-family: 'Consolas', 'Menlo', 'Deja Vu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
|
||||
font-size: 0.85em;
|
||||
}
|
||||
|
||||
img.screenshot {
|
||||
}
|
||||
|
||||
tt.descname, tt.descclassname {
|
||||
font-size: 0.95em;
|
||||
}
|
||||
|
||||
tt.descname {
|
||||
padding-right: 0.08em;
|
||||
}
|
||||
|
||||
img.screenshot {
|
||||
-moz-box-shadow: 2px 2px 4px #eee;
|
||||
-webkit-box-shadow: 2px 2px 4px #eee;
|
||||
box-shadow: 2px 2px 4px #eee;
|
||||
}
|
||||
|
||||
table.docutils {
|
||||
border: 1px solid #888;
|
||||
-moz-box-shadow: 2px 2px 4px #eee;
|
||||
-webkit-box-shadow: 2px 2px 4px #eee;
|
||||
box-shadow: 2px 2px 4px #eee;
|
||||
}
|
||||
|
||||
table.docutils td, table.docutils th {
|
||||
border: 1px solid #888;
|
||||
padding: 0.25em 0.7em;
|
||||
}
|
||||
|
||||
table.field-list, table.footnote {
|
||||
border: none;
|
||||
-moz-box-shadow: none;
|
||||
-webkit-box-shadow: none;
|
||||
box-shadow: none;
|
||||
}
|
||||
|
||||
table.footnote {
|
||||
margin: 15px 0;
|
||||
width: 100%;
|
||||
border: 1px solid #eee;
|
||||
}
|
||||
|
||||
table.field-list th {
|
||||
padding: 0 0.8em 0 0;
|
||||
}
|
||||
|
||||
table.field-list td {
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
table.footnote td {
|
||||
padding: 0.5em;
|
||||
}
|
||||
|
||||
dl {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
dl dd {
|
||||
margin-left: 30px;
|
||||
}
|
||||
|
||||
pre {
|
||||
padding: 0;
|
||||
margin: 15px -30px;
|
||||
padding: 8px;
|
||||
line-height: 1.3em;
|
||||
padding: 7px 30px;
|
||||
background: #eee;
|
||||
border-radius: 2px;
|
||||
-moz-border-radius: 2px;
|
||||
-webkit-border-radius: 2px;
|
||||
}
|
||||
|
||||
dl pre {
|
||||
margin-left: -60px;
|
||||
padding-left: 60px;
|
||||
}
|
||||
|
||||
tt {
|
||||
background-color: #ecf0f3;
|
||||
color: #222;
|
||||
/* padding: 1px 2px; */
|
||||
}
|
||||
|
||||
tt.xref, a tt {
|
||||
background-color: #FBFBFB;
|
||||
}
|
||||
|
||||
a:hover tt {
|
||||
background: #EEE;
|
||||
}
|
||||
Vendored
+10
@@ -0,0 +1,10 @@
|
||||
[theme]
|
||||
inherit = basic
|
||||
stylesheet = flasky.css
|
||||
nosidebar = true
|
||||
pygments_style = flask_theme_support.FlaskyStyle
|
||||
|
||||
[options]
|
||||
index_logo = ''
|
||||
index_logo_height = 120px
|
||||
github_fork = ''
|
||||
@@ -0,0 +1,64 @@
|
||||
.. _api:
|
||||
|
||||
===
|
||||
API
|
||||
===
|
||||
|
||||
|
||||
.. module:: tablib
|
||||
|
||||
This part of the documentation covers all the interfaces of Tablib. For
|
||||
parts where Tablib depends on external libraries, we document the most
|
||||
important right here and provide links to the canonical documentation.
|
||||
|
||||
|
||||
--------------
|
||||
Dataset Object
|
||||
--------------
|
||||
|
||||
|
||||
.. autoclass:: Dataset
|
||||
:inherited-members:
|
||||
|
||||
|
||||
---------------
|
||||
Databook Object
|
||||
---------------
|
||||
|
||||
|
||||
.. autoclass:: Databook
|
||||
:inherited-members:
|
||||
|
||||
|
||||
|
||||
---------
|
||||
Functions
|
||||
---------
|
||||
|
||||
|
||||
.. autofunction:: detect
|
||||
|
||||
.. autofunction:: import_set
|
||||
|
||||
|
||||
----------
|
||||
Exceptions
|
||||
----------
|
||||
|
||||
|
||||
.. class:: InvalidDatasetType
|
||||
|
||||
You're trying to add something that doesn't quite look right.
|
||||
|
||||
|
||||
.. class:: InvalidDimensions
|
||||
|
||||
You're trying to add something that doesn't quite fit right.
|
||||
|
||||
|
||||
.. class:: UnsupportedFormat
|
||||
|
||||
You're trying to add something that doesn't quite taste right.
|
||||
|
||||
|
||||
Now, go start some :ref:`Tablib Development <development>`.
|
||||
+238
@@ -0,0 +1,238 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# Tablib documentation build configuration file, created by
|
||||
# sphinx-quickstart on Tue Oct 5 15:25:21 2010.
|
||||
#
|
||||
# This file is execfile()d with the current directory set to its containing dir.
|
||||
#
|
||||
# Note that not all possible configuration values are present in this
|
||||
# autogenerated file.
|
||||
#
|
||||
# All configuration values have a default; values that are commented out
|
||||
# serve to show the default.
|
||||
|
||||
import sys, os
|
||||
|
||||
# If extensions (or modules to document with autodoc) are in another directory,
|
||||
# add these directories to sys.path here. If the directory is relative to the
|
||||
# documentation root, use os.path.abspath to make it absolute, like shown here.
|
||||
sys.path.insert(0, os.path.abspath('..'))
|
||||
import tablib
|
||||
# -- General configuration -----------------------------------------------------
|
||||
|
||||
# If your documentation needs a minimal Sphinx version, state it here.
|
||||
#needs_sphinx = '1.0'
|
||||
|
||||
# Add any Sphinx extension module names here, as strings. They can be extensions
|
||||
# coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
|
||||
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.todo', 'sphinx.ext.coverage', 'sphinx.ext.viewcode']
|
||||
|
||||
# Add any paths that contain templates here, relative to this directory.
|
||||
templates_path = ['_templates']
|
||||
|
||||
# The suffix of source filenames.
|
||||
source_suffix = '.rst'
|
||||
|
||||
# The encoding of source files.
|
||||
#source_encoding = 'utf-8-sig'
|
||||
|
||||
# The master toctree document.
|
||||
master_doc = 'index'
|
||||
|
||||
# General information about the project.
|
||||
project = u'Tablib'
|
||||
copyright = u'2016. A <a href="http://kennethreitz.org/">Kenneth Reitz</a> Project'
|
||||
|
||||
# The version info for the project you're documenting, acts as replacement for
|
||||
# |version| and |release|, also used in various other places throughout the
|
||||
# built documents.
|
||||
#
|
||||
# The short X.Y version.
|
||||
version = tablib.__version__
|
||||
# The full version, including alpha/beta/rc tags.
|
||||
release = version
|
||||
|
||||
# The language for content autogenerated by Sphinx. Refer to documentation
|
||||
# for a list of supported languages.
|
||||
#language = None
|
||||
|
||||
# There are two options for replacing |today|: either, you set today to some
|
||||
# non-false value, then it is used:
|
||||
#today = ''
|
||||
# Else, today_fmt is used as the format for a strftime call.
|
||||
#today_fmt = '%B %d, %Y'
|
||||
|
||||
# List of patterns, relative to source directory, that match files and
|
||||
# directories to ignore when looking for source files.
|
||||
exclude_patterns = ['_build']
|
||||
|
||||
# The reST default role (used for this markup: `text`) to use for all documents.
|
||||
#default_role = None
|
||||
|
||||
# If true, '()' will be appended to :func: etc. cross-reference text.
|
||||
add_function_parentheses = True
|
||||
|
||||
# If true, the current module name will be prepended to all description
|
||||
# unit titles (such as .. function::).
|
||||
# add_module_names = True
|
||||
|
||||
# If true, sectionauthor and moduleauthor directives will be shown in the
|
||||
# output. They are ignored by default.
|
||||
#show_authors = False
|
||||
|
||||
# The name of the Pygments (syntax highlighting) style to use.
|
||||
pygments_style = 'flask_theme_support.FlaskyStyle'
|
||||
|
||||
# A list of ignored prefixes for module index sorting.
|
||||
#modindex_common_prefix = []
|
||||
|
||||
|
||||
# -- Options for HTML output ---------------------------------------------------
|
||||
|
||||
# The theme to use for HTML and HTML Help pages. See the documentation for
|
||||
# a list of builtin themes.
|
||||
html_theme = 'default'
|
||||
|
||||
# Theme options are theme-specific and customize the look and feel of a theme
|
||||
# further. For a list of options available for each theme, see the
|
||||
# documentation.
|
||||
#html_theme_options = {}
|
||||
|
||||
# Add any paths that contain custom themes here, relative to this directory.
|
||||
#html_theme_path = []
|
||||
|
||||
# The name for this set of Sphinx documents. If None, it defaults to
|
||||
# "<project> v<release> documentation".
|
||||
#html_title = None
|
||||
|
||||
# A shorter title for the navigation bar. Default is the same as html_title.
|
||||
#html_short_title = None
|
||||
|
||||
# The name of an image file (relative to this directory) to place at the top
|
||||
# of the sidebar.
|
||||
#html_logo = None
|
||||
|
||||
# The name of an image file (within the static path) to use as favicon of the
|
||||
# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
|
||||
# pixels large.
|
||||
#html_favicon = None
|
||||
|
||||
# Add any paths that contain custom static files (such as style sheets) here,
|
||||
# relative to this directory. They are copied after the builtin static files,
|
||||
# so a file named "default.css" will overwrite the builtin "default.css".
|
||||
html_static_path = ['static']
|
||||
|
||||
# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
|
||||
# using the given strftime format.
|
||||
#html_last_updated_fmt = '%b %d, %Y'
|
||||
|
||||
# If true, SmartyPants will be used to convert quotes and dashes to
|
||||
# typographically correct entities.
|
||||
html_use_smartypants = True
|
||||
|
||||
# Custom sidebar templates, maps document names to template names.
|
||||
html_sidebars = {
|
||||
'index': ['sidebarintro.html', 'sourcelink.html', 'searchbox.html'],
|
||||
'**': ['sidebarlogo.html', 'localtoc.html', 'relations.html',
|
||||
'sourcelink.html', 'searchbox.html']
|
||||
}
|
||||
|
||||
# Additional templates that should be rendered to pages, maps page names to
|
||||
# template names.
|
||||
#html_additional_pages = {}
|
||||
|
||||
# If false, no module index is generated.
|
||||
#html_domain_indices = True
|
||||
|
||||
# If false, no index is generated.
|
||||
#html_use_index = True
|
||||
|
||||
# If true, the index is split into individual pages for each letter.
|
||||
#html_split_index = False
|
||||
|
||||
# If true, links to the reST sources are added to the pages.
|
||||
html_show_sourcelink = True
|
||||
|
||||
# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
|
||||
html_show_sphinx = False
|
||||
|
||||
# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
|
||||
#html_show_copyright = True
|
||||
|
||||
# If true, an OpenSearch description file will be output, and all pages will
|
||||
# contain a <link> tag referring to it. The value of this option must be the
|
||||
# base URL from which the finished HTML is served.
|
||||
#html_use_opensearch = ''
|
||||
|
||||
# This is the file name suffix for HTML files (e.g. ".xhtml").
|
||||
#html_file_suffix = None
|
||||
|
||||
# Output file base name for HTML help builder.
|
||||
htmlhelp_basename = 'Tablibdoc'
|
||||
|
||||
|
||||
# -- Options for LaTeX output --------------------------------------------------
|
||||
|
||||
# The paper size ('letter' or 'a4').
|
||||
#latex_paper_size = 'letter'
|
||||
|
||||
# The font size ('10pt', '11pt' or '12pt').
|
||||
#latex_font_size = '10pt'
|
||||
|
||||
# Grouping the document tree into LaTeX files. List of tuples
|
||||
# (source start file, target name, title, author, documentclass [howto/manual]).
|
||||
latex_documents = [
|
||||
('index', 'Tablib.tex', u'Tablib Documentation',
|
||||
u'Kenneth Reitz', 'manual'),
|
||||
]
|
||||
|
||||
latex_use_modindex = False
|
||||
|
||||
latex_elements = {
|
||||
'fontpkg': r'\usepackage{mathpazo}',
|
||||
'papersize': 'a4paper',
|
||||
'pointsize': '12pt',
|
||||
'preamble': r'\usepackage{krstyle}'
|
||||
}
|
||||
latex_use_parts = True
|
||||
|
||||
latex_additional_files = ['krstyle.sty']
|
||||
|
||||
|
||||
|
||||
# The name of an image file (relative to this directory) to place at the top of
|
||||
# the title page.
|
||||
#latex_logo = None
|
||||
|
||||
# For "manual" documents, if this is true, then toplevel headings are parts,
|
||||
# not chapters.
|
||||
#latex_use_parts = False
|
||||
|
||||
# If true, show page references after internal links.
|
||||
#latex_show_pagerefs = False
|
||||
|
||||
# If true, show URL addresses after external links.
|
||||
#latex_show_urls = False
|
||||
|
||||
# Additional stuff for the LaTeX preamble.
|
||||
#latex_preamble = ''
|
||||
|
||||
# Documents to append as an appendix to all manuals.
|
||||
#latex_appendices = []
|
||||
|
||||
# If false, no module index is generated.
|
||||
#latex_domain_indices = True
|
||||
|
||||
|
||||
# -- Options for manual page output --------------------------------------------
|
||||
|
||||
# One entry per manual page. List of tuples
|
||||
# (source start file, name, description, authors, manual section).
|
||||
man_pages = [
|
||||
('index', 'tablib', u'Tablib Documentation',
|
||||
[u'Kenneth Reitz'], 1)
|
||||
]
|
||||
|
||||
sys.path.append(os.path.abspath('_themes'))
|
||||
html_theme_path = ['_themes']
|
||||
html_theme = 'kr'
|
||||
@@ -0,0 +1,232 @@
|
||||
.. _development:
|
||||
|
||||
Development
|
||||
===========
|
||||
|
||||
Tablib is under active development, and contributors are welcome.
|
||||
|
||||
If you have a feature request, suggestion, or bug report, please open a new
|
||||
issue on GitHub_. To submit patches, please send a pull request on GitHub_.
|
||||
|
||||
.. _GitHub: http://github.com/kennethreitz/tablib/
|
||||
|
||||
|
||||
|
||||
.. _design:
|
||||
|
||||
---------------------
|
||||
Design Considerations
|
||||
---------------------
|
||||
|
||||
Tablib was developed with a few :pep:`20` idioms in mind.
|
||||
|
||||
#. Beautiful is better than ugly.
|
||||
#. Explicit is better than implicit.
|
||||
#. Simple is better than complex.
|
||||
#. Complex is better than complicated.
|
||||
#. Readability counts.
|
||||
|
||||
A few other things to keep in mind:
|
||||
|
||||
#. Keep your code DRY.
|
||||
#. Strive to be as simple (to use) as possible.
|
||||
|
||||
.. _scm:
|
||||
|
||||
--------------
|
||||
Source Control
|
||||
--------------
|
||||
|
||||
|
||||
Tablib source is controlled with Git_, the lean, mean, distributed source
|
||||
control machine.
|
||||
|
||||
The repository is publicly accessible.
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
git clone git://github.com/kennethreitz/tablib.git
|
||||
|
||||
The project is hosted on **GitHub**.
|
||||
|
||||
GitHub:
|
||||
http://github.com/kennethreitz/tablib
|
||||
|
||||
|
||||
Git Branch Structure
|
||||
++++++++++++++++++++
|
||||
|
||||
Feature / Hotfix / Release branches follow a `Successful Git Branching Model`_ .
|
||||
Git-flow_ is a great tool for managing the repository. I highly recommend it.
|
||||
|
||||
``master``
|
||||
Current production release (|version|) on PyPi.
|
||||
|
||||
Each release is tagged.
|
||||
|
||||
When submitting patches, please place your feature/change in its own branch prior to opening a pull request on GitHub_.
|
||||
|
||||
|
||||
.. _Git: http://git-scm.org
|
||||
.. _`Successful Git Branching Model`: http://nvie.com/posts/a-successful-git-branching-model/
|
||||
.. _git-flow: http://github.com/nvie/gitflow
|
||||
|
||||
|
||||
.. _newformats:
|
||||
|
||||
------------------
|
||||
Adding New Formats
|
||||
------------------
|
||||
|
||||
Tablib welcomes new format additions! Format suggestions include:
|
||||
|
||||
* MySQL Dump
|
||||
|
||||
|
||||
Coding by Convention
|
||||
++++++++++++++++++++
|
||||
|
||||
Tablib features a micro-framework for adding format support.
|
||||
The easiest way to understand it is to use it.
|
||||
So, let's define our own format, named *xxx*.
|
||||
|
||||
1. Write a new format interface.
|
||||
|
||||
:class:`tablib.core` follows a simple pattern for automatically utilizing your format throughout Tablib.
|
||||
Function names are crucial.
|
||||
|
||||
Example **tablib/formats/_xxx.py**: ::
|
||||
|
||||
title = 'xxx'
|
||||
|
||||
def export_set(dset):
|
||||
....
|
||||
# returns string representation of given dataset
|
||||
|
||||
def export_book(dbook):
|
||||
....
|
||||
# returns string representation of given databook
|
||||
|
||||
def import_set(dset, in_stream):
|
||||
...
|
||||
# populates given Dataset with given datastream
|
||||
|
||||
def import_book(dbook, in_stream):
|
||||
...
|
||||
# returns Databook instance
|
||||
|
||||
def detect(stream):
|
||||
...
|
||||
# returns True if given stream is parsable as xxx
|
||||
|
||||
.. admonition:: Excluding Support
|
||||
|
||||
If the format excludes support for an import/export mechanism (*e.g.*
|
||||
:class:`csv <tablib.Dataset.csv>` excludes
|
||||
:class:`Databook <tablib.Databook>` support),
|
||||
simply don't define the respective functions.
|
||||
Appropriate errors will be raised.
|
||||
|
||||
2. Add your new format module to the :class:`tablib.formats.available` tuple.
|
||||
|
||||
3. Add a mock property to the :class:`Dataset <tablib.Dataset>` class with verbose `reStructured Text`_ docstring.
|
||||
This alleviates IDE confusion, and allows for pretty auto-generated Sphinx_ documentation.
|
||||
|
||||
4. Write respective :ref:`tests <testing>`.
|
||||
|
||||
.. _testing:
|
||||
|
||||
--------------
|
||||
Testing Tablib
|
||||
--------------
|
||||
|
||||
Testing is crucial to Tablib's stability.
|
||||
This stable project is used in production by many companies and developers,
|
||||
so it is important to be certain that every version released is fully operational.
|
||||
When developing a new feature for Tablib, be sure to write proper tests for it as well.
|
||||
|
||||
When developing a feature for Tablib,
|
||||
the easiest way to test your changes for potential issues is to simply run the test suite directly.
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
$ ./test_tablib.py
|
||||
|
||||
|
||||
`Jenkins CI`_, amongst other tools, supports Java's xUnit testing report format.
|
||||
Nose_ allows us to generate our own xUnit reports.
|
||||
|
||||
Installing nose is simple.
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
$ pip install nose
|
||||
|
||||
Once installed, we can generate our xUnit report with a single command.
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
$ nosetests test_tablib.py --with-xunit
|
||||
|
||||
This will generate a **nosetests.xml** file, which can then be analyzed.
|
||||
|
||||
.. _Nose: http://somethingaboutorange.com/mrl/projects/nose/
|
||||
|
||||
|
||||
|
||||
.. _jenkins:
|
||||
|
||||
----------------------
|
||||
Continuous Integration
|
||||
----------------------
|
||||
|
||||
Every commit made to the **develop** branch is automatically tested and inspected upon receipt with `Travis CI`_.
|
||||
If you have access to the main repository and broke the build,
|
||||
you will receive an email accordingly.
|
||||
|
||||
Anyone may view the build status and history at any time.
|
||||
|
||||
https://travis-ci.org/kennethreitz/tablib
|
||||
|
||||
Additional reports will also be included here in the future, including :pep:`8` checks and stress reports for extremely large datasets.
|
||||
|
||||
.. _`Jenkins CI`: https://travis-ci.org/
|
||||
|
||||
|
||||
.. _docs:
|
||||
|
||||
-----------------
|
||||
Building the Docs
|
||||
-----------------
|
||||
|
||||
Documentation is written in the powerful, flexible,
|
||||
and standard Python documentation format, `reStructured Text`_.
|
||||
Documentation builds are powered by the powerful Pocoo project, Sphinx_.
|
||||
The :ref:`API Documentation <api>` is mostly documented inline throughout the module.
|
||||
|
||||
The Docs live in ``tablib/docs``.
|
||||
In order to build them, you will first need to install Sphinx.
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
$ pip install sphinx
|
||||
|
||||
|
||||
Then, to build an HTML version of the docs, simply run the following from the ``docs`` directory:
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
$ make html
|
||||
|
||||
Your ``docs/_build/html`` directory will then contain an HTML representation of the documentation,
|
||||
ready for publication on most web servers.
|
||||
|
||||
You can also generate the documentation in **epub**, **latex**, **json**, *&c* similarly.
|
||||
|
||||
.. _`reStructured Text`: http://docutils.sourceforge.net/rst.html
|
||||
.. _Sphinx: http://sphinx.pocoo.org
|
||||
.. _`GitHub Pages`: http://pages.github.com
|
||||
|
||||
----------
|
||||
|
||||
Make sure to check out the :ref:`API Documentation <api>`.
|
||||
+116
@@ -0,0 +1,116 @@
|
||||
.. Tablib documentation master file, created by
|
||||
sphinx-quickstart on Tue Oct 5 15:25:21 2010.
|
||||
You can adapt this file completely to your liking, but it should at least
|
||||
contain the root `toctree` directive.
|
||||
|
||||
Tablib: Pythonic Tabular Datasets
|
||||
=================================
|
||||
|
||||
Release v\ |version|. (:ref:`Installation <install>`)
|
||||
|
||||
.. Contents:
|
||||
..
|
||||
.. .. toctree::
|
||||
.. :maxdepth: 2
|
||||
..
|
||||
|
||||
.. Indices and tables
|
||||
.. ==================
|
||||
..
|
||||
.. * :ref:`genindex`
|
||||
.. * :ref:`modindex`
|
||||
.. * :ref:`search`
|
||||
|
||||
|
||||
Tablib is an `MIT Licensed <https://mit-license.org/>`_ format-agnostic tabular dataset library, written in Python.
|
||||
It allows you to import, export, and manipulate tabular data sets.
|
||||
Advanced features include segregation, dynamic columns, tags & filtering,
|
||||
and seamless format import & export.
|
||||
|
||||
::
|
||||
|
||||
>>> data = tablib.Dataset(headers=['First Name', 'Last Name', 'Age'])
|
||||
>>> for i in [('Kenneth', 'Reitz', 22), ('Bessie', 'Monke', 21)]:
|
||||
... data.append(i)
|
||||
|
||||
|
||||
>>> print(data.export('json'))
|
||||
[{"Last Name": "Reitz", "First Name": "Kenneth", "Age": 22}, {"Last Name": "Monke", "First Name": "Bessie", "Age": 21}]
|
||||
|
||||
>>> print(data.export('yaml'))
|
||||
- {Age: 22, First Name: Kenneth, Last Name: Reitz}
|
||||
- {Age: 21, First Name: Bessie, Last Name: Monke}
|
||||
|
||||
>>> data.export('xlsx')
|
||||
<redacted binary data>
|
||||
|
||||
>>> data.export('df')
|
||||
First Name Last Name Age
|
||||
0 Kenneth Reitz 22
|
||||
1 Bessie Monke 21
|
||||
|
||||
|
||||
Testimonials
|
||||
------------
|
||||
|
||||
`National Geographic <http://www.nationalgeographic.com/>`_,
|
||||
`Digg, Inc <http://digg.com/>`_,
|
||||
`Northrop Grumman <http://www.northropgrumman.com/>`_,
|
||||
`Discovery Channel <http://dsc.discovery.com/>`_,
|
||||
and `The Sunlight Foundation <http://sunlightfoundation.com/>`_ use Tablib internally.
|
||||
|
||||
|
||||
|
||||
**Greg Thorton**
|
||||
Tablib by @kennethreitz saved my life.
|
||||
I had to consolidate like 5 huge poorly maintained lists of domains and data.
|
||||
It was a breeze!
|
||||
|
||||
**Dave Coutts**
|
||||
It's turning into one of my most used modules of 2010.
|
||||
You really hit a sweet spot for managing tabular data with a minimal amount of code and effort.
|
||||
|
||||
**Joshua Ourisman**
|
||||
Tablib has made it so much easier to deal with the inevitable 'I want an Excel file!' requests from clients...
|
||||
|
||||
**Brad Montgomery**
|
||||
I think you nailed the "Python Zen" with tablib.
|
||||
Thanks again for an awesome lib!
|
||||
|
||||
|
||||
User's Guide
|
||||
------------
|
||||
|
||||
This part of the documentation, which is mostly prose, begins with some background information about Tablib, then focuses on step-by-step instructions for getting the most out of your datasets.
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
|
||||
intro
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
|
||||
install
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
|
||||
tutorial
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
|
||||
development
|
||||
|
||||
|
||||
API Reference
|
||||
-------------
|
||||
|
||||
If you are looking for information on a specific function, class or
|
||||
method, this part of the documentation is for you.
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
|
||||
api
|
||||
@@ -0,0 +1,67 @@
|
||||
.. _install:
|
||||
|
||||
Installation
|
||||
============
|
||||
|
||||
This part of the documentation covers the installation of Tablib. The first step to using any software package is getting it properly installed.
|
||||
|
||||
|
||||
.. _installing:
|
||||
|
||||
-----------------
|
||||
Installing Tablib
|
||||
-----------------
|
||||
|
||||
Distribute & Pip
|
||||
----------------
|
||||
|
||||
Of course, the recommended way to install Tablib is with `pip <http://www.pip-installer.org/>`_:
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
$ pip install tablib[pandas]
|
||||
|
||||
|
||||
-------------------
|
||||
Download the Source
|
||||
-------------------
|
||||
|
||||
You can also install tablib from source.
|
||||
The latest release (|version|) is available from GitHub.
|
||||
|
||||
* tarball_
|
||||
* zipball_
|
||||
|
||||
.. _
|
||||
|
||||
Once you have a copy of the source,
|
||||
you can embed it in your Python package,
|
||||
or install it into your site-packages easily.
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
$ python setup.py install
|
||||
|
||||
|
||||
To download the full source history from Git, see :ref:`Source Control <scm>`.
|
||||
|
||||
.. _tarball: http://github.com/kennethreitz/tablib/tarball/master
|
||||
.. _zipball: http://github.com/kennethreitz/tablib/zipball/master
|
||||
|
||||
|
||||
.. _updates:
|
||||
|
||||
Staying Updated
|
||||
---------------
|
||||
|
||||
The latest version of Tablib will always be available here:
|
||||
|
||||
* PyPI: http://pypi.python.org/pypi/tablib/
|
||||
* GitHub: http://github.com/kennethreitz/tablib/
|
||||
|
||||
When a new version is available, upgrading is simple::
|
||||
|
||||
$ pip install tablib --upgrade
|
||||
|
||||
|
||||
Now, go get a :ref:`Quick Start <quickstart>`.
|
||||
@@ -0,0 +1,90 @@
|
||||
.. _intro:
|
||||
|
||||
Introduction
|
||||
============
|
||||
|
||||
This part of the documentation covers all the interfaces of Tablib.
|
||||
Tablib is a format-agnostic tabular dataset library, written in Python.
|
||||
It allows you to Pythonically import, export, and manipulate tabular data sets.
|
||||
Advanced features include segregation, dynamic columns, tags / filtering, and
|
||||
seamless format import/export.
|
||||
|
||||
|
||||
Philosophy
|
||||
----------
|
||||
|
||||
Tablib was developed with a few :pep:`20` idioms in mind.
|
||||
|
||||
#. Beautiful is better than ugly.
|
||||
#. Explicit is better than implicit.
|
||||
#. Simple is better than complex.
|
||||
#. Complex is better than complicated.
|
||||
#. Readability counts.
|
||||
|
||||
All contributions to Tablib should keep these important rules in mind.
|
||||
|
||||
.. mit:
|
||||
|
||||
MIT License
|
||||
-----------
|
||||
|
||||
A large number of open source projects you find today are `GPL Licensed`_.
|
||||
While the GPL has its time and place, it should most certainly not be your
|
||||
go-to license for your next open source project.
|
||||
|
||||
A project that is released as GPL cannot be used in any commercial product
|
||||
without the product itself also being offered as open source. The MIT, BSD, and
|
||||
ISC licenses are great alternatives to the GPL that allow your open-source
|
||||
software to be used in proprietary, closed-source software.
|
||||
|
||||
Tablib is released under terms of `The MIT License`_.
|
||||
|
||||
.. _`GPL Licensed`: http://www.opensource.org/licenses/gpl-license.php
|
||||
.. _`The MIT License`: http://www.opensource.org/licenses/mit-license.php
|
||||
|
||||
|
||||
.. _license:
|
||||
|
||||
Tablib License
|
||||
--------------
|
||||
|
||||
Copyright 2017 Kenneth Reitz
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in
|
||||
all copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
||||
THE SOFTWARE.
|
||||
|
||||
|
||||
.. _pythonsupport:
|
||||
|
||||
Pythons Supported
|
||||
-----------------
|
||||
|
||||
At this time, the following Python platforms are officially supported:
|
||||
|
||||
* cPython 2.7
|
||||
* cPython 3.3
|
||||
* cPython 3.4
|
||||
* cPython 3.5
|
||||
* cPython 3.6
|
||||
|
||||
Support for other Pythons will be rolled out soon.
|
||||
|
||||
|
||||
|
||||
|
||||
Now, go :ref:`Install Tablib <install>`.
|
||||
@@ -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
|
||||
@@ -0,0 +1,398 @@
|
||||
.. _quickstart:
|
||||
|
||||
==========
|
||||
Quickstart
|
||||
==========
|
||||
|
||||
|
||||
.. module:: tablib
|
||||
|
||||
|
||||
Eager to get started?
|
||||
This page gives a good introduction in how to get started with Tablib.
|
||||
This assumes you already have Tablib installed.
|
||||
If you do not, head over to the :ref:`Installation <install>` section.
|
||||
|
||||
First, make sure that:
|
||||
|
||||
* Tablib is :ref:`installed <install>`
|
||||
* Tablib is :ref:`up-to-date <updates>`
|
||||
|
||||
|
||||
Let's get started with some simple use cases and examples.
|
||||
|
||||
|
||||
|
||||
------------------
|
||||
Creating a Dataset
|
||||
------------------
|
||||
|
||||
|
||||
A :class:`Dataset <tablib.Dataset>` is nothing more than what its name implies—a set of data.
|
||||
|
||||
Creating your own instance of the :class:`tablib.Dataset` object is simple. ::
|
||||
|
||||
data = tablib.Dataset()
|
||||
|
||||
You can now start filling this :class:`Dataset <tablib.Dataset>` object with data.
|
||||
|
||||
.. admonition:: Example Context
|
||||
|
||||
From here on out, if you see ``data``, assume that it's a fresh
|
||||
:class:`Dataset <tablib.Dataset>` object.
|
||||
|
||||
|
||||
|
||||
-----------
|
||||
Adding Rows
|
||||
-----------
|
||||
|
||||
|
||||
Let's say you want to collect a simple list of names. ::
|
||||
|
||||
# collection of names
|
||||
names = ['Kenneth Reitz', 'Bessie Monke']
|
||||
|
||||
for name in names:
|
||||
# split name appropriately
|
||||
fname, lname = name.split()
|
||||
|
||||
# add names to Dataset
|
||||
data.append([fname, lname])
|
||||
|
||||
You can get a nice, Pythonic view of the dataset at any time with :class:`Dataset.dict`::
|
||||
|
||||
>>> data.dict
|
||||
[('Kenneth', 'Reitz'), ('Bessie', 'Monke')]
|
||||
|
||||
|
||||
|
||||
--------------
|
||||
Adding Headers
|
||||
--------------
|
||||
|
||||
|
||||
It's time to enhance our :class:`Dataset` by giving our columns some titles.
|
||||
To do so, set :class:`Dataset.headers`. ::
|
||||
|
||||
data.headers = ['First Name', 'Last Name']
|
||||
|
||||
Now our data looks a little different. ::
|
||||
|
||||
>>> data.dict
|
||||
[{'Last Name': 'Reitz', 'First Name': 'Kenneth'},
|
||||
{'Last Name': 'Monke', 'First Name': 'Bessie'}]
|
||||
|
||||
|
||||
|
||||
|
||||
--------------
|
||||
Adding Columns
|
||||
--------------
|
||||
|
||||
|
||||
Now that we have a basic :class:`Dataset` in place, let's add a column of **ages** to it. ::
|
||||
|
||||
data.append_col([22, 20], header='Age')
|
||||
|
||||
Let's view the data now. ::
|
||||
|
||||
>>> data.dict
|
||||
[{'Last Name': 'Reitz', 'First Name': 'Kenneth', 'Age': 22},
|
||||
{'Last Name': 'Monke', 'First Name': 'Bessie', 'Age': 20}]
|
||||
|
||||
It's that easy.
|
||||
|
||||
|
||||
--------------
|
||||
Importing Data
|
||||
--------------
|
||||
Creating a :class:`tablib.Dataset` object by importing a pre-existing file is simple. ::
|
||||
|
||||
imported_data = Dataset().load(open('data.csv').read())
|
||||
|
||||
This detects what sort of data is being passed in, and uses an appropriate formatter to do the import. So you can import from a variety of different file types.
|
||||
|
||||
--------------
|
||||
Exporting Data
|
||||
--------------
|
||||
|
||||
Tablib's killer feature is the ability to export your :class:`Dataset` objects into a number of formats.
|
||||
|
||||
**Comma-Separated Values** ::
|
||||
|
||||
>>> data.export('csv')
|
||||
Last Name,First Name,Age
|
||||
Reitz,Kenneth,22
|
||||
Monke,Bessie,20
|
||||
|
||||
**JavaScript Object Notation** ::
|
||||
|
||||
>>> data.export('json')
|
||||
[{"Last Name": "Reitz", "First Name": "Kenneth", "Age": 22}, {"Last Name": "Monke", "First Name": "Bessie", "Age": 20}]
|
||||
|
||||
|
||||
**YAML Ain't Markup Language** ::
|
||||
|
||||
>>> data.export('yaml')
|
||||
- {Age: 22, First Name: Kenneth, Last Name: Reitz}
|
||||
- {Age: 20, First Name: Bessie, Last Name: Monke}
|
||||
|
||||
|
||||
**Microsoft Excel** ::
|
||||
|
||||
>>> data.export('xls')
|
||||
<redacted binary data>
|
||||
|
||||
|
||||
**Pandas DataFrame** ::
|
||||
|
||||
>>> data.export('df')
|
||||
First Name Last Name Age
|
||||
0 Kenneth Reitz 22
|
||||
1 Bessie Monke 21
|
||||
|
||||
|
||||
------------------------
|
||||
Selecting Rows & Columns
|
||||
------------------------
|
||||
|
||||
|
||||
You can slice and dice your data, just like a standard Python list. ::
|
||||
|
||||
>>> data[0]
|
||||
('Kenneth', 'Reitz', 22)
|
||||
|
||||
|
||||
If we had a set of data consisting of thousands of rows,
|
||||
it could be useful to get a list of values in a column.
|
||||
To do so, we access the :class:`Dataset` as if it were a standard Python dictionary. ::
|
||||
|
||||
>>> data['First Name']
|
||||
['Kenneth', 'Bessie']
|
||||
|
||||
You can also access the column using its index. ::
|
||||
|
||||
>>> data.headers
|
||||
['Last Name', 'First Name', 'Age']
|
||||
>>> data.get_col(1)
|
||||
['Kenneth', 'Bessie']
|
||||
|
||||
Let's find the average age. ::
|
||||
|
||||
>>> ages = data['Age']
|
||||
>>> float(sum(ages)) / len(ages)
|
||||
21.0
|
||||
|
||||
|
||||
|
||||
-----------------------
|
||||
Removing Rows & Columns
|
||||
-----------------------
|
||||
|
||||
It's easier than you could imagine. Delete a column::
|
||||
|
||||
>>> del data['Col Name']
|
||||
|
||||
Delete a range of rows::
|
||||
|
||||
>>> del data[0:12]
|
||||
|
||||
|
||||
==============
|
||||
Advanced Usage
|
||||
==============
|
||||
|
||||
This part of the documentation services to give you an idea that are otherwise hard to extract from the :ref:`API Documentation <api>`
|
||||
|
||||
And now for something completely different.
|
||||
|
||||
|
||||
.. _dyncols:
|
||||
|
||||
---------------
|
||||
Dynamic Columns
|
||||
---------------
|
||||
|
||||
.. versionadded:: 0.8.3
|
||||
|
||||
Thanks to Josh Ourisman, Tablib now supports adding dynamic columns.
|
||||
A dynamic column is a single callable object (*e.g.* a function).
|
||||
|
||||
Let's add a dynamic column to our :class:`Dataset` object.
|
||||
In this example, we have a function that generates a random grade for our students. ::
|
||||
|
||||
import random
|
||||
|
||||
def random_grade(row):
|
||||
"""Returns a random integer for entry."""
|
||||
return (random.randint(60,100)/100.0)
|
||||
|
||||
data.append_col(random_grade, header='Grade')
|
||||
|
||||
Let's have a look at our data. ::
|
||||
|
||||
>>> data.export('yaml')
|
||||
- {Age: 22, First Name: Kenneth, Grade: 0.6, Last Name: Reitz}
|
||||
- {Age: 20, First Name: Bessie, Grade: 0.75, Last Name: Monke}
|
||||
|
||||
|
||||
Let's remove that column. ::
|
||||
|
||||
>>> del data['Grade']
|
||||
|
||||
|
||||
When you add a dynamic column, the first argument that is passed in to the given callable is the current data row.
|
||||
You can use this to perform calculations against your data row.
|
||||
|
||||
For example, we can use the data available in the row to guess the gender of a student. ::
|
||||
|
||||
def guess_gender(row):
|
||||
"""Calculates gender of given student data row."""
|
||||
m_names = ('Kenneth', 'Mike', 'Yuri')
|
||||
f_names = ('Bessie', 'Samantha', 'Heather')
|
||||
|
||||
name = row[0]
|
||||
|
||||
if name in m_names:
|
||||
return 'Male'
|
||||
elif name in f_names:
|
||||
return 'Female'
|
||||
else:
|
||||
return 'Unknown'
|
||||
|
||||
Adding this function to our dataset as a dynamic column would result in: ::
|
||||
|
||||
>>> data.export('yaml')
|
||||
- {Age: 22, First Name: Kenneth, Gender: Male, Last Name: Reitz}
|
||||
- {Age: 20, First Name: Bessie, Gender: Female, Last Name: Monke}
|
||||
|
||||
|
||||
.. _tags:
|
||||
|
||||
----------------------------
|
||||
Filtering Datasets with Tags
|
||||
----------------------------
|
||||
|
||||
.. versionadded:: 0.9.0
|
||||
|
||||
|
||||
When constructing a :class:`Dataset` object,
|
||||
you can add tags to rows by specifying the ``tags`` parameter.
|
||||
This allows you to filter your :class:`Dataset` later.
|
||||
This can be useful to separate rows of data based on arbitrary criteria
|
||||
(*e.g.* origin) that you don't want to include in your :class:`Dataset`.
|
||||
|
||||
Let's tag some students. ::
|
||||
|
||||
students = tablib.Dataset()
|
||||
|
||||
students.headers = ['first', 'last']
|
||||
|
||||
students.rpush(['Kenneth', 'Reitz'], tags=['male', 'technical'])
|
||||
students.rpush(['Bessie', 'Monke'], tags=['female', 'creative'])
|
||||
|
||||
Now that we have extra meta-data on our rows, we can easily filter our :class:`Dataset`. Let's just see Male students. ::
|
||||
|
||||
|
||||
>>> students.filter(['male']).yaml
|
||||
- {first: Kenneth, Last: Reitz}
|
||||
|
||||
It's that simple. The original :class:`Dataset` is untouched.
|
||||
|
||||
Open an Excel Workbook and read first sheet
|
||||
--------------------------------
|
||||
|
||||
To open an Excel 2007 and later workbook with a single sheet (or a workbook with multiple sheets but you just want the first sheet), use the following:
|
||||
|
||||
data = tablib.Dataset()
|
||||
data.xlsx = open('my_excel_file.xlsx', 'rb').read()
|
||||
print(data)
|
||||
|
||||
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 workbooks with the handy :class:`Databook` class.
|
||||
|
||||
Let's say we have 3 different :class:`Datasets <Dataset>`.
|
||||
All we have to do is add them to a :class:`Databook` object... ::
|
||||
|
||||
book = tablib.Databook((data1, data2, data3))
|
||||
|
||||
... and export to Excel just like :class:`Datasets <Dataset>`. ::
|
||||
|
||||
with open('students.xls', 'wb') as f:
|
||||
f.write(book.xls)
|
||||
|
||||
The resulting ``students.xls`` file will contain a separate spreadsheet for each :class:`Dataset` object in the :class:`Databook`.
|
||||
|
||||
.. admonition:: Binary Warning
|
||||
|
||||
Make sure to open the output file in binary mode.
|
||||
|
||||
|
||||
.. _separators:
|
||||
|
||||
----------
|
||||
Separators
|
||||
----------
|
||||
|
||||
.. versionadded:: 0.8.2
|
||||
|
||||
When constructing a spreadsheet,
|
||||
it's often useful to create a blank row containing information on the upcoming data. So,
|
||||
|
||||
::
|
||||
|
||||
daniel_tests = [
|
||||
('11/24/09', 'Math 101 Mid-term Exam', 56.),
|
||||
('05/24/10', 'Math 101 Final Exam', 62.)
|
||||
]
|
||||
|
||||
suzie_tests = [
|
||||
('11/24/09', 'Math 101 Mid-term Exam', 56.),
|
||||
('05/24/10', 'Math 101 Final Exam', 62.)
|
||||
]
|
||||
|
||||
# Create new dataset
|
||||
tests = tablib.Dataset()
|
||||
tests.headers = ['Date', 'Test Name', 'Grade']
|
||||
|
||||
# Daniel's Tests
|
||||
tests.append_separator('Daniel\'s Scores')
|
||||
|
||||
for test_row in daniel_tests:
|
||||
tests.append(test_row)
|
||||
|
||||
# Susie's Tests
|
||||
tests.append_separator('Susie\'s Scores')
|
||||
|
||||
for test_row in suzie_tests:
|
||||
tests.append(test_row)
|
||||
|
||||
# Write spreadsheet to disk
|
||||
with open('grades.xls', 'wb') as f:
|
||||
f.write(tests.export('xls'))
|
||||
|
||||
The resulting **tests.xls** will have the following layout:
|
||||
|
||||
|
||||
Daniel's Scores:
|
||||
* '11/24/09', 'Math 101 Mid-term Exam', 56.
|
||||
* '05/24/10', 'Math 101 Final Exam', 62.
|
||||
|
||||
Suzie's Scores:
|
||||
* '11/24/09', 'Math 101 Mid-term Exam', 56.
|
||||
* '05/24/10', 'Math 101 Final Exam', 62.
|
||||
|
||||
|
||||
|
||||
.. admonition:: Format Support
|
||||
|
||||
At this time, only :class:`Excel <Dataset.xls>` output supports separators.
|
||||
|
||||
----
|
||||
|
||||
Now, go check out the :ref:`API Documentation <api>` or begin :ref:`Tablib Development <development>`.
|
||||
Vendored
-7
@@ -1,7 +0,0 @@
|
||||
from fabric.api import *
|
||||
|
||||
|
||||
def scrub():
|
||||
""" Death to the bytecode! """
|
||||
local("rm -fr dist build")
|
||||
local("find . -name \"*.pyc\" -exec rm '{}' ';'")
|
||||
@@ -0,0 +1,22 @@
|
||||
backports.csv==1.0.6
|
||||
certifi==2017.7.27.1
|
||||
chardet==3.0.4
|
||||
et-xmlfile==1.0.1
|
||||
idna==2.6
|
||||
jdcal==1.3
|
||||
numpy==1.13.1
|
||||
odfpy==1.3.5
|
||||
openpyxl==2.4.8
|
||||
pandas==0.20.3
|
||||
pkginfo==1.4.1
|
||||
python-dateutil==2.6.1
|
||||
pytz==2017.2
|
||||
PyYAML==3.12
|
||||
requests==2.18.4
|
||||
requests-toolbelt==0.8.0
|
||||
six==1.10.0
|
||||
tqdm==4.15.0
|
||||
unicodecsv==0.14.1
|
||||
urllib3==1.22
|
||||
xlrd==1.1.0
|
||||
xlwt==1.3.0
|
||||
@@ -2,42 +2,75 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
import os
|
||||
import re
|
||||
import sys
|
||||
|
||||
from distutils.core import setup
|
||||
try:
|
||||
from setuptools import setup
|
||||
except ImportError:
|
||||
from distutils.core import setup
|
||||
|
||||
if sys.argv[-1] == 'publish':
|
||||
os.system("python setup.py sdist upload")
|
||||
sys.exit()
|
||||
|
||||
|
||||
def publish():
|
||||
"""Publish to PyPi"""
|
||||
os.system("python setup.py sdist upload")
|
||||
if sys.argv[-1] == 'test':
|
||||
try:
|
||||
__import__('py')
|
||||
except ImportError:
|
||||
print('py.test required.')
|
||||
sys.exit(1)
|
||||
|
||||
if sys.argv[-1] == "publish":
|
||||
publish()
|
||||
sys.exit()
|
||||
errors = os.system('py.test test_tablib.py')
|
||||
sys.exit(bool(errors))
|
||||
|
||||
packages = [
|
||||
'tablib', 'tablib.formats',
|
||||
'tablib.packages',
|
||||
'tablib.packages.dbfpy',
|
||||
'tablib.packages.dbfpy3'
|
||||
]
|
||||
|
||||
install = [
|
||||
'odfpy',
|
||||
'openpyxl>=2.4.0',
|
||||
'backports.csv',
|
||||
'xlrd',
|
||||
'xlwt',
|
||||
'pyyaml',
|
||||
]
|
||||
|
||||
|
||||
with open('tablib/core.py', 'r') as fd:
|
||||
version = re.search(r'^__version__\s*=\s*[\'"]([^\'"]*)[\'"]',
|
||||
fd.read(), re.MULTILINE).group(1)
|
||||
|
||||
setup(
|
||||
name='tablib',
|
||||
version='0.8.4',
|
||||
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://github.com/kennethreitz/tablib',
|
||||
packages=['tablib', 'tablib.formats'],
|
||||
install_requires=['xlwt', 'simplejson', 'PyYAML'],
|
||||
license='MIT',
|
||||
classifiers=(
|
||||
'Development Status :: 4 - Beta',
|
||||
'License :: OSI Approved :: MIT License',
|
||||
'Programming Language :: Python',
|
||||
# 'Programming Language :: Python :: 2.5',
|
||||
'Programming Language :: Python :: 2.6',
|
||||
'Programming Language :: Python :: 2.7',
|
||||
),
|
||||
# entry_points={
|
||||
# 'console_scripts': [
|
||||
# 'tabbed = tablib.cli:start',
|
||||
# ],
|
||||
# }
|
||||
name='tablib',
|
||||
version=version,
|
||||
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.org',
|
||||
url='http://python-tablib.org',
|
||||
packages=packages,
|
||||
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 :: 2.7',
|
||||
'Programming Language :: Python :: 3.4',
|
||||
'Programming Language :: Python :: 3.5',
|
||||
'Programming Language :: Python :: 3.6',
|
||||
],
|
||||
tests_require=['pytest'],
|
||||
install_requires=install,
|
||||
extras_require={
|
||||
'pandas': ['pandas'],
|
||||
},
|
||||
)
|
||||
|
||||
@@ -1,14 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
"""
|
||||
Tabbed -- CLI for Tablib
|
||||
Copyright (c) 2010 Kenneth Reitz. MIT License.
|
||||
"""
|
||||
|
||||
import tablib.cli
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
||||
tablib.cli.start()
|
||||
+4
-5
@@ -1,8 +1,7 @@
|
||||
""" Tablib.
|
||||
"""
|
||||
""" Tablib. """
|
||||
|
||||
from tablib.core import (
|
||||
Databook, Dataset, detect, import_set,
|
||||
InvalidDatasetType, InvalidDimensions, UnsupportedFormat
|
||||
Databook, Dataset, detect_format, import_set, import_book,
|
||||
InvalidDatasetType, InvalidDimensions, UnsupportedFormat,
|
||||
__version__
|
||||
)
|
||||
|
||||
|
||||
@@ -1,84 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
# encoding: utf-8
|
||||
|
||||
""" Tabbed CLI Inteface Application
|
||||
"""
|
||||
|
||||
import io
|
||||
import sys
|
||||
|
||||
import argue
|
||||
|
||||
import tablib
|
||||
from helpers import Struct, piped
|
||||
|
||||
|
||||
|
||||
FORMATS = [fmt.title for fmt in tablib.formats.FORMATS]
|
||||
|
||||
opts = []
|
||||
|
||||
opts.append(('v', 'version', False, 'Report tabbed version'))
|
||||
|
||||
for format in FORMATS:
|
||||
opts.append(('', format, False, 'Output to %s' % (format.upper())))
|
||||
|
||||
|
||||
|
||||
@argue.command(options=opts, usage='[FILE] [--FORMAT | FILE]')
|
||||
def start(in_file=None, out_file=None, **opts):
|
||||
"""Covertly convert dataset formats"""
|
||||
|
||||
opts = Struct(**opts)
|
||||
|
||||
if opts.version:
|
||||
print('Tabbed, Ver. %s' % tablib.core.__version__)
|
||||
sys.exit(0)
|
||||
|
||||
stdin = piped()
|
||||
|
||||
if stdin:
|
||||
data = tablib.import_set(stdin)
|
||||
|
||||
elif in_file:
|
||||
|
||||
try:
|
||||
in_stream =- io.open(in_file, 'r').read()
|
||||
except Exception, e:
|
||||
print(' %s cannot be read.' % in_file)
|
||||
sys.exit(65)
|
||||
|
||||
try:
|
||||
tablib.import_set(in_stream)
|
||||
except Exception, e:
|
||||
raise e
|
||||
print('Import format not supported.')
|
||||
sys.exit(65)
|
||||
else:
|
||||
print('Please provide input.')
|
||||
sys.exit(65)
|
||||
|
||||
|
||||
_formats_sum = sum(opts[f] for f in FORMATS)
|
||||
|
||||
# Multiple output formats given
|
||||
if _formats_sum > 1:
|
||||
print('Please specify a single output format.')
|
||||
sys.exit(64)
|
||||
|
||||
# No output formats given
|
||||
elif _formats_sum < 1:
|
||||
print('Please specify an output format.')
|
||||
sys.exit(64)
|
||||
|
||||
|
||||
# fetch options.formats list
|
||||
# if sum(()) > 1
|
||||
# log only one data format please
|
||||
# if sum of formats == 0, specity format
|
||||
|
||||
# look for filename
|
||||
|
||||
# print opts.__dict__
|
||||
# print in_file
|
||||
# print out_file
|
||||
@@ -0,0 +1,38 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
"""
|
||||
tablib.compat
|
||||
~~~~~~~~~~~~~
|
||||
|
||||
Tablib compatiblity module.
|
||||
|
||||
"""
|
||||
|
||||
import sys
|
||||
|
||||
is_py3 = (sys.version_info[0] > 2)
|
||||
|
||||
|
||||
if is_py3:
|
||||
from io import BytesIO
|
||||
from io import StringIO
|
||||
from tablib.packages import markup3 as markup
|
||||
from statistics import median
|
||||
from itertools import zip_longest as izip_longest
|
||||
import csv
|
||||
import tablib.packages.dbfpy3 as dbfpy
|
||||
|
||||
unicode = str
|
||||
xrange = range
|
||||
|
||||
else:
|
||||
from cStringIO import StringIO as BytesIO
|
||||
from StringIO import StringIO
|
||||
from tablib.packages import markup
|
||||
from tablib.packages.statistics import median
|
||||
from itertools import izip_longest
|
||||
from backports import csv
|
||||
import tablib.packages.dbfpy as dbfpy
|
||||
|
||||
unicode = unicode
|
||||
xrange = xrange
|
||||
+1129
-260
File diff suppressed because it is too large
Load Diff
@@ -3,9 +3,18 @@
|
||||
""" Tablib - formats
|
||||
"""
|
||||
|
||||
import _csv as csv
|
||||
import _json as json
|
||||
import _xls as xls
|
||||
import _yaml as yaml
|
||||
from . import _csv as csv
|
||||
from . import _json as json
|
||||
from . import _xls as xls
|
||||
from . import _yaml as yaml
|
||||
from . import _tsv as tsv
|
||||
from . import _html as html
|
||||
from . import _xlsx as xlsx
|
||||
from . import _ods as ods
|
||||
from . import _dbf as dbf
|
||||
from . import _latex as latex
|
||||
from . import _df as df
|
||||
from . import _rst as rst
|
||||
from . import _jira as jira
|
||||
|
||||
FORMATS = (json, xls, yaml, csv)
|
||||
available = (json, xls, yaml, csv, dbf, tsv, html, jira, latex, xlsx, ods, df, rst)
|
||||
|
||||
+36
-35
@@ -1,51 +1,52 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
""" Tablib - CSV Support.
|
||||
""" Tablib - *SV Support.
|
||||
"""
|
||||
|
||||
import cStringIO
|
||||
import csv
|
||||
import os
|
||||
|
||||
import simplejson as json
|
||||
|
||||
import tablib
|
||||
from tablib.compat import csv, StringIO, unicode
|
||||
|
||||
|
||||
title = 'csv'
|
||||
extentions = ('csv',)
|
||||
extensions = ('csv',)
|
||||
|
||||
|
||||
|
||||
def export_set(dataset):
|
||||
"""Returns CSV representation of Dataset."""
|
||||
stream = cStringIO.StringIO()
|
||||
_csv = csv.writer(stream)
|
||||
|
||||
for row in dataset._package(dicts=False):
|
||||
_csv.writerow(row)
|
||||
|
||||
return stream.getvalue()
|
||||
DEFAULT_DELIMITER = unicode(',')
|
||||
|
||||
|
||||
def import_set(dset, in_stream, headers=True):
|
||||
"""Returns dataset from CSV stream."""
|
||||
def export_set(dataset, **kwargs):
|
||||
"""Returns CSV representation of Dataset."""
|
||||
stream = StringIO()
|
||||
|
||||
dset.wipe()
|
||||
kwargs.setdefault('delimiter', DEFAULT_DELIMITER)
|
||||
|
||||
rows = csv.reader(in_stream.split())
|
||||
for i, row in enumerate(rows):
|
||||
_csv = csv.writer(stream, **kwargs)
|
||||
|
||||
if (i == 0) and (headers):
|
||||
dset.headers = row
|
||||
else:
|
||||
dset.append(row)
|
||||
for row in dataset._package(dicts=False):
|
||||
_csv.writerow(row)
|
||||
|
||||
return stream.getvalue()
|
||||
|
||||
|
||||
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
|
||||
def import_set(dset, in_stream, headers=True, **kwargs):
|
||||
"""Returns dataset from CSV stream."""
|
||||
|
||||
dset.wipe()
|
||||
|
||||
kwargs.setdefault('delimiter', DEFAULT_DELIMITER)
|
||||
|
||||
rows = csv.reader(StringIO(in_stream), **kwargs)
|
||||
for i, row in enumerate(rows):
|
||||
|
||||
if (i == 0) and (headers):
|
||||
dset.headers = row
|
||||
elif row:
|
||||
dset.append(row)
|
||||
|
||||
|
||||
def detect(stream, delimiter=DEFAULT_DELIMITER):
|
||||
"""Returns True if given stream is valid CSV."""
|
||||
try:
|
||||
csv.Sniffer().sniff(stream, delimiters=delimiter)
|
||||
return True
|
||||
except (csv.Error, TypeError):
|
||||
return False
|
||||
|
||||
@@ -0,0 +1,91 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
""" Tablib - DBF Support.
|
||||
"""
|
||||
import tempfile
|
||||
import struct
|
||||
import os
|
||||
|
||||
from tablib.compat import StringIO
|
||||
from tablib.compat import dbfpy
|
||||
from tablib.compat import is_py3
|
||||
|
||||
if is_py3:
|
||||
from tablib.packages.dbfpy3 import dbf
|
||||
from tablib.packages.dbfpy3 import dbfnew
|
||||
from tablib.packages.dbfpy3 import record as dbfrecord
|
||||
import io
|
||||
else:
|
||||
from tablib.packages.dbfpy import dbf
|
||||
from tablib.packages.dbfpy import dbfnew
|
||||
from tablib.packages.dbfpy import record as dbfrecord
|
||||
|
||||
|
||||
title = 'dbf'
|
||||
extensions = ('csv',)
|
||||
|
||||
DEFAULT_ENCODING = 'utf-8'
|
||||
|
||||
def export_set(dataset):
|
||||
"""Returns DBF representation of a Dataset"""
|
||||
new_dbf = dbfnew.dbf_new()
|
||||
temp_file, temp_uri = tempfile.mkstemp()
|
||||
|
||||
# create the appropriate fields based on the contents of the first row
|
||||
first_row = dataset[0]
|
||||
for fieldname, field_value in zip(dataset.headers, first_row):
|
||||
if type(field_value) in [int, float]:
|
||||
new_dbf.add_field(fieldname, 'N', 10, 8)
|
||||
else:
|
||||
new_dbf.add_field(fieldname, 'C', 80)
|
||||
|
||||
new_dbf.write(temp_uri)
|
||||
|
||||
dbf_file = dbf.Dbf(temp_uri, readOnly=0)
|
||||
for row in dataset:
|
||||
record = dbfrecord.DbfRecord(dbf_file)
|
||||
for fieldname, field_value in zip(dataset.headers, row):
|
||||
record[fieldname] = field_value
|
||||
record.store()
|
||||
|
||||
dbf_file.close()
|
||||
dbf_stream = open(temp_uri, 'rb')
|
||||
if is_py3:
|
||||
stream = io.BytesIO(dbf_stream.read())
|
||||
else:
|
||||
stream = StringIO(dbf_stream.read())
|
||||
dbf_stream.close()
|
||||
os.close(temp_file)
|
||||
os.remove(temp_uri)
|
||||
return stream.getvalue()
|
||||
|
||||
def import_set(dset, in_stream, headers=True):
|
||||
"""Returns a dataset from a DBF stream."""
|
||||
|
||||
dset.wipe()
|
||||
if is_py3:
|
||||
_dbf = dbf.Dbf(io.BytesIO(in_stream))
|
||||
else:
|
||||
_dbf = dbf.Dbf(StringIO(in_stream))
|
||||
dset.headers = _dbf.fieldNames
|
||||
for record in range(_dbf.recordCount):
|
||||
row = [_dbf[record][f] for f in _dbf.fieldNames]
|
||||
dset.append(row)
|
||||
|
||||
def detect(stream):
|
||||
"""Returns True if the given stream is valid DBF"""
|
||||
#_dbf = dbf.Table(StringIO(stream))
|
||||
try:
|
||||
if is_py3:
|
||||
if type(stream) is not bytes:
|
||||
stream = bytes(stream, 'utf-8')
|
||||
_dbf = dbf.Dbf(io.BytesIO(stream), readOnly=True)
|
||||
else:
|
||||
_dbf = dbf.Dbf(StringIO(stream), readOnly=True)
|
||||
return True
|
||||
except (ValueError, struct.error):
|
||||
# When we try to open up a file that's not a DBF, dbfpy raises a
|
||||
# ValueError.
|
||||
# When unpacking a string argument with less than 8 chars, struct.error is
|
||||
# raised.
|
||||
return False
|
||||
@@ -0,0 +1,49 @@
|
||||
""" Tablib - DataFrame Support.
|
||||
"""
|
||||
|
||||
|
||||
import sys
|
||||
|
||||
|
||||
if sys.version_info[0] > 2:
|
||||
from io import BytesIO
|
||||
else:
|
||||
from cStringIO import StringIO as BytesIO
|
||||
|
||||
try:
|
||||
from pandas import DataFrame
|
||||
except ImportError:
|
||||
DataFrame = None
|
||||
|
||||
import tablib
|
||||
|
||||
from tablib.compat import unicode
|
||||
|
||||
title = 'df'
|
||||
extensions = ('df', )
|
||||
|
||||
def detect(stream):
|
||||
"""Returns True if given stream is a DataFrame."""
|
||||
if DataFrame is None:
|
||||
return False
|
||||
try:
|
||||
DataFrame(stream)
|
||||
return True
|
||||
except ValueError:
|
||||
return False
|
||||
|
||||
|
||||
def export_set(dset, index=None):
|
||||
"""Returns DataFrame representation of DataBook."""
|
||||
if DataFrame is None:
|
||||
raise NotImplementedError(
|
||||
'DataFrame Format requires `pandas` to be installed.'
|
||||
' Try `pip install tablib[pandas]`.')
|
||||
dataframe = DataFrame(dset.dict, columns=dset.headers)
|
||||
return dataframe
|
||||
|
||||
|
||||
def import_set(dset, in_stream):
|
||||
"""Returns dataset from DataFrame."""
|
||||
dset.wipe()
|
||||
dset.dict = in_stream.to_dict(orient='records')
|
||||
@@ -0,0 +1,70 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
""" Tablib - HTML export support.
|
||||
"""
|
||||
|
||||
import sys
|
||||
|
||||
if sys.version_info[0] > 2:
|
||||
from io import BytesIO as StringIO
|
||||
from tablib.packages import markup3 as markup
|
||||
else:
|
||||
from cStringIO import StringIO
|
||||
from tablib.packages import markup
|
||||
|
||||
import tablib
|
||||
from tablib.compat import unicode
|
||||
import codecs
|
||||
|
||||
BOOK_ENDINGS = 'h3'
|
||||
|
||||
title = 'html'
|
||||
extensions = ('html', )
|
||||
|
||||
|
||||
def export_set(dataset):
|
||||
"""HTML representation of a Dataset."""
|
||||
|
||||
stream = StringIO()
|
||||
|
||||
page = markup.page()
|
||||
page.table.open()
|
||||
|
||||
if dataset.headers is not None:
|
||||
new_header = [item if item is not None else '' for item in dataset.headers]
|
||||
|
||||
page.thead.open()
|
||||
headers = markup.oneliner.th(new_header)
|
||||
page.tr(headers)
|
||||
page.thead.close()
|
||||
|
||||
for row in dataset:
|
||||
new_row = [item if item is not None else '' for item in row]
|
||||
|
||||
html_row = markup.oneliner.td(new_row)
|
||||
page.tr(html_row)
|
||||
|
||||
page.table.close()
|
||||
|
||||
# Allow unicode characters in output
|
||||
wrapper = codecs.getwriter("utf8")(stream)
|
||||
wrapper.writelines(unicode(page))
|
||||
|
||||
return stream.getvalue().decode('utf-8')
|
||||
|
||||
|
||||
def export_book(databook):
|
||||
"""HTML representation of a Databook."""
|
||||
|
||||
stream = StringIO()
|
||||
|
||||
# Allow unicode characters in output
|
||||
wrapper = codecs.getwriter("utf8")(stream)
|
||||
|
||||
for i, dset in enumerate(databook._datasets):
|
||||
title = (dset.title if dset.title else 'Set %s' % (i))
|
||||
wrapper.write('<%s>%s</%s>\n' % (BOOK_ENDINGS, title, BOOK_ENDINGS))
|
||||
wrapper.write(dset.html)
|
||||
wrapper.write('\n')
|
||||
|
||||
return stream.getvalue().decode('utf-8')
|
||||
@@ -0,0 +1,39 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
"""Tablib - Jira table export support.
|
||||
|
||||
Generates a Jira table from the dataset.
|
||||
"""
|
||||
from tablib.compat import unicode
|
||||
|
||||
title = 'jira'
|
||||
|
||||
|
||||
def export_set(dataset):
|
||||
"""Formats the dataset according to the Jira table syntax:
|
||||
|
||||
||heading 1||heading 2||heading 3||
|
||||
|col A1|col A2|col A3|
|
||||
|col B1|col B2|col B3|
|
||||
|
||||
:param dataset: dataset to serialize
|
||||
:type dataset: tablib.core.Dataset
|
||||
"""
|
||||
|
||||
header = _get_header(dataset.headers) if dataset.headers else ''
|
||||
body = _get_body(dataset)
|
||||
return '%s\n%s' % (header, body) if header else body
|
||||
|
||||
|
||||
def _get_body(dataset):
|
||||
return '\n'.join([_serialize_row(row) for row in dataset])
|
||||
|
||||
|
||||
def _get_header(headers):
|
||||
return _serialize_row(headers, delimiter='||')
|
||||
|
||||
|
||||
def _serialize_row(row, delimiter='|'):
|
||||
return '%s%s%s' % (delimiter,
|
||||
delimiter.join([unicode(item) if item else ' ' for item in row]),
|
||||
delimiter)
|
||||
+37
-25
@@ -2,46 +2,58 @@
|
||||
|
||||
""" Tablib - JSON Support
|
||||
"""
|
||||
import decimal
|
||||
import json
|
||||
from uuid import UUID
|
||||
|
||||
import tablib
|
||||
|
||||
import simplejson as json
|
||||
import tablib.core
|
||||
|
||||
title = 'json'
|
||||
extentions = ('json', 'jsn')
|
||||
extensions = ('json', 'jsn')
|
||||
|
||||
|
||||
def serialize_objects_handler(obj):
|
||||
if isinstance(obj, (decimal.Decimal, UUID)):
|
||||
return str(obj)
|
||||
elif hasattr(obj, 'isoformat'):
|
||||
return obj.isoformat()
|
||||
else:
|
||||
return obj
|
||||
|
||||
|
||||
def export_set(dataset):
|
||||
"""Returns JSON representation of Dataset."""
|
||||
return json.dumps(dataset.dict)
|
||||
"""Returns JSON representation of Dataset."""
|
||||
return json.dumps(dataset.dict, default=serialize_objects_handler)
|
||||
|
||||
|
||||
def export_book(databook):
|
||||
"""Returns JSON representation of Databook."""
|
||||
return json.dumps(databook._package())
|
||||
|
||||
"""Returns JSON representation of Databook."""
|
||||
return json.dumps(databook._package(), default=serialize_objects_handler)
|
||||
|
||||
|
||||
def import_set(dset, in_stream):
|
||||
"""Returns dataset from JSON stream."""
|
||||
|
||||
dset.wipe()
|
||||
dset.dict = json.loads(in_stream)
|
||||
"""Returns dataset from JSON stream."""
|
||||
|
||||
dset.wipe()
|
||||
dset.dict = json.loads(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 json.loads(in_stream):
|
||||
data = tablib.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 json.decoder.JSONDecodeError:
|
||||
return False
|
||||
"""Returns True if given stream is valid JSON."""
|
||||
try:
|
||||
json.loads(stream)
|
||||
return True
|
||||
except ValueError:
|
||||
return False
|
||||
|
||||
@@ -0,0 +1,134 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
"""Tablib - LaTeX table export support.
|
||||
|
||||
Generates a LaTeX booktabs-style table from the dataset.
|
||||
"""
|
||||
import re
|
||||
|
||||
from tablib.compat import unicode
|
||||
|
||||
title = 'latex'
|
||||
extensions = ('tex',)
|
||||
|
||||
TABLE_TEMPLATE = """\
|
||||
%% Note: add \\usepackage{booktabs} to your preamble
|
||||
%%
|
||||
\\begin{table}[!htbp]
|
||||
\\centering
|
||||
%(CAPTION)s
|
||||
\\begin{tabular}{%(COLSPEC)s}
|
||||
\\toprule
|
||||
%(HEADER)s
|
||||
%(MIDRULE)s
|
||||
%(BODY)s
|
||||
\\bottomrule
|
||||
\\end{tabular}
|
||||
\\end{table}
|
||||
"""
|
||||
|
||||
TEX_RESERVED_SYMBOLS_MAP = dict([
|
||||
('\\', '\\textbackslash{}'),
|
||||
('{', '\\{'),
|
||||
('}', '\\}'),
|
||||
('$', '\\$'),
|
||||
('&', '\\&'),
|
||||
('#', '\\#'),
|
||||
('^', '\\textasciicircum{}'),
|
||||
('_', '\\_'),
|
||||
('~', '\\textasciitilde{}'),
|
||||
('%', '\\%'),
|
||||
])
|
||||
|
||||
TEX_RESERVED_SYMBOLS_RE = re.compile(
|
||||
'(%s)' % '|'.join(map(re.escape, TEX_RESERVED_SYMBOLS_MAP.keys())))
|
||||
|
||||
|
||||
def export_set(dataset):
|
||||
"""Returns LaTeX representation of dataset
|
||||
|
||||
:param dataset: dataset to serialize
|
||||
:type dataset: tablib.core.Dataset
|
||||
"""
|
||||
|
||||
caption = '\\caption{%s}' % dataset.title if dataset.title else '%'
|
||||
colspec = _colspec(dataset.width)
|
||||
header = _serialize_row(dataset.headers) if dataset.headers else ''
|
||||
midrule = _midrule(dataset.width)
|
||||
body = '\n'.join([_serialize_row(row) for row in dataset])
|
||||
return TABLE_TEMPLATE % dict(CAPTION=caption, COLSPEC=colspec,
|
||||
HEADER=header, MIDRULE=midrule, BODY=body)
|
||||
|
||||
|
||||
def _colspec(dataset_width):
|
||||
"""Generates the column specification for the LaTeX `tabular` environment
|
||||
based on the dataset width.
|
||||
|
||||
The first column is justified to the left, all further columns are aligned
|
||||
to the right.
|
||||
|
||||
.. note:: This is only a heuristic and most probably has to be fine-tuned
|
||||
post export. Column alignment should depend on the data type, e.g., textual
|
||||
content should usually be aligned to the left while numeric content almost
|
||||
always should be aligned to the right.
|
||||
|
||||
:param dataset_width: width of the dataset
|
||||
"""
|
||||
|
||||
spec = 'l'
|
||||
for _ in range(1, dataset_width):
|
||||
spec += 'r'
|
||||
return spec
|
||||
|
||||
|
||||
def _midrule(dataset_width):
|
||||
"""Generates the table `midrule`, which may be composed of several
|
||||
`cmidrules`.
|
||||
|
||||
:param dataset_width: width of the dataset to serialize
|
||||
"""
|
||||
|
||||
if not dataset_width or dataset_width == 1:
|
||||
return '\\midrule'
|
||||
return ' '.join([_cmidrule(colindex, dataset_width) for colindex in
|
||||
range(1, dataset_width + 1)])
|
||||
|
||||
|
||||
def _cmidrule(colindex, dataset_width):
|
||||
"""Generates the `cmidrule` for a single column with appropriate trimming
|
||||
based on the column position.
|
||||
|
||||
:param colindex: Column index
|
||||
:param dataset_width: width of the dataset
|
||||
"""
|
||||
|
||||
rule = '\\cmidrule(%s){%d-%d}'
|
||||
if colindex == 1:
|
||||
# Rule of first column is trimmed on the right
|
||||
return rule % ('r', colindex, colindex)
|
||||
if colindex == dataset_width:
|
||||
# Rule of last column is trimmed on the left
|
||||
return rule % ('l', colindex, colindex)
|
||||
# Inner columns are trimmed on the left and right
|
||||
return rule % ('lr', colindex, colindex)
|
||||
|
||||
|
||||
def _serialize_row(row):
|
||||
"""Returns string representation of a single row.
|
||||
|
||||
:param row: single dataset row
|
||||
"""
|
||||
|
||||
new_row = [_escape_tex_reserved_symbols(unicode(item)) if item else '' for
|
||||
item in row]
|
||||
return 6 * ' ' + ' & '.join(new_row) + ' \\\\'
|
||||
|
||||
|
||||
def _escape_tex_reserved_symbols(input):
|
||||
"""Escapes all TeX reserved symbols ('_', '~', etc.) in a string.
|
||||
|
||||
:param input: String to escape
|
||||
"""
|
||||
def replace(match):
|
||||
return TEX_RESERVED_SYMBOLS_MAP[match.group()]
|
||||
return TEX_RESERVED_SYMBOLS_RE.sub(replace, input)
|
||||
@@ -0,0 +1,93 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
""" Tablib - ODF Support.
|
||||
"""
|
||||
|
||||
from odf import opendocument, style, table, text
|
||||
from tablib.compat import BytesIO, unicode
|
||||
|
||||
title = 'ods'
|
||||
extensions = ('ods',)
|
||||
|
||||
bold = style.Style(name="bold", family="paragraph")
|
||||
bold.addElement(style.TextProperties(fontweight="bold", fontweightasian="bold", fontweightcomplex="bold"))
|
||||
|
||||
def export_set(dataset):
|
||||
"""Returns ODF representation of Dataset."""
|
||||
|
||||
wb = opendocument.OpenDocumentSpreadsheet()
|
||||
wb.automaticstyles.addElement(bold)
|
||||
|
||||
ws = table.Table(name=dataset.title if dataset.title else 'Tablib Dataset')
|
||||
wb.spreadsheet.addElement(ws)
|
||||
dset_sheet(dataset, ws)
|
||||
|
||||
stream = BytesIO()
|
||||
wb.save(stream)
|
||||
return stream.getvalue()
|
||||
|
||||
|
||||
def export_book(databook):
|
||||
"""Returns ODF representation of DataBook."""
|
||||
|
||||
wb = opendocument.OpenDocumentSpreadsheet()
|
||||
wb.automaticstyles.addElement(bold)
|
||||
|
||||
for i, dset in enumerate(databook._datasets):
|
||||
ws = table.Table(name=dset.title if dset.title else 'Sheet%s' % (i))
|
||||
wb.spreadsheet.addElement(ws)
|
||||
dset_sheet(dset, ws)
|
||||
|
||||
|
||||
stream = BytesIO()
|
||||
wb.save(stream)
|
||||
return stream.getvalue()
|
||||
|
||||
|
||||
def dset_sheet(dataset, ws):
|
||||
"""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, row in enumerate(_package):
|
||||
row_number = i + 1
|
||||
odf_row = table.TableRow(stylename=bold, defaultcellstylename='bold')
|
||||
for j, col in enumerate(row):
|
||||
try:
|
||||
col = unicode(col, errors='ignore')
|
||||
except TypeError:
|
||||
## col is already unicode
|
||||
pass
|
||||
ws.addElement(table.TableColumn())
|
||||
|
||||
# bold headers
|
||||
if (row_number == 1) and dataset.headers:
|
||||
odf_row.setAttribute('stylename', bold)
|
||||
ws.addElement(odf_row)
|
||||
cell = table.TableCell()
|
||||
p = text.P()
|
||||
p.addElement(text.Span(text=col, stylename=bold))
|
||||
cell.addElement(p)
|
||||
odf_row.addElement(cell)
|
||||
|
||||
# wrap the rest
|
||||
else:
|
||||
try:
|
||||
if '\n' in col:
|
||||
ws.addElement(odf_row)
|
||||
cell = table.TableCell()
|
||||
cell.addElement(text.P(text=col))
|
||||
odf_row.addElement(cell)
|
||||
else:
|
||||
ws.addElement(odf_row)
|
||||
cell = table.TableCell()
|
||||
cell.addElement(text.P(text=col))
|
||||
odf_row.addElement(cell)
|
||||
except TypeError:
|
||||
ws.addElement(odf_row)
|
||||
cell = table.TableCell()
|
||||
cell.addElement(text.P(text=col))
|
||||
odf_row.addElement(cell)
|
||||
@@ -0,0 +1,273 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
""" Tablib - reStructuredText Support
|
||||
"""
|
||||
from __future__ import division
|
||||
from __future__ import print_function
|
||||
from __future__ import unicode_literals
|
||||
|
||||
from textwrap import TextWrapper
|
||||
|
||||
from tablib.compat import (
|
||||
median,
|
||||
unicode,
|
||||
izip_longest,
|
||||
)
|
||||
|
||||
|
||||
title = 'rst'
|
||||
extensions = ('rst',)
|
||||
|
||||
|
||||
MAX_TABLE_WIDTH = 80 # Roughly. It may be wider to avoid breaking words.
|
||||
|
||||
|
||||
JUSTIFY_LEFT = 'left'
|
||||
JUSTIFY_CENTER = 'center'
|
||||
JUSTIFY_RIGHT = 'right'
|
||||
JUSTIFY_VALUES = (JUSTIFY_LEFT, JUSTIFY_CENTER, JUSTIFY_RIGHT)
|
||||
|
||||
|
||||
def to_unicode(value):
|
||||
if isinstance(value, bytes):
|
||||
return value.decode('utf-8')
|
||||
return unicode(value)
|
||||
|
||||
|
||||
def _max_word_len(text):
|
||||
"""
|
||||
Return the length of the longest word in `text`.
|
||||
|
||||
|
||||
>>> _max_word_len('Python Module for Tabular Datasets')
|
||||
8
|
||||
|
||||
"""
|
||||
return max((len(word) for word in text.split()))
|
||||
|
||||
|
||||
def _get_column_string_lengths(dataset):
|
||||
"""
|
||||
Returns a list of string lengths of each column, and a list of
|
||||
maximum word lengths.
|
||||
"""
|
||||
if dataset.headers:
|
||||
column_lengths = [[len(h)] for h in dataset.headers]
|
||||
word_lens = [_max_word_len(h) for h in dataset.headers]
|
||||
else:
|
||||
column_lengths = [[] for _ in range(dataset.width)]
|
||||
word_lens = [0 for _ in range(dataset.width)]
|
||||
for row in dataset.dict:
|
||||
values = iter(row.values() if hasattr(row, 'values') else row)
|
||||
for i, val in enumerate(values):
|
||||
text = to_unicode(val)
|
||||
column_lengths[i].append(len(text))
|
||||
word_lens[i] = max(word_lens[i], _max_word_len(text))
|
||||
return column_lengths, word_lens
|
||||
|
||||
|
||||
def _row_to_lines(values, widths, wrapper, sep='|', justify=JUSTIFY_LEFT):
|
||||
"""
|
||||
Returns a table row of wrapped values as a list of lines
|
||||
"""
|
||||
if justify not in JUSTIFY_VALUES:
|
||||
raise ValueError('Value of "justify" must be one of "{}"'.format(
|
||||
'", "'.join(JUSTIFY_VALUES)
|
||||
))
|
||||
if justify == JUSTIFY_LEFT:
|
||||
just = lambda text, width: text.ljust(width)
|
||||
elif justify == JUSTIFY_CENTER:
|
||||
just = lambda text, width: text.center(width)
|
||||
else:
|
||||
just = lambda text, width: text.rjust(width)
|
||||
lpad = sep + ' ' if sep else ''
|
||||
rpad = ' ' + sep if sep else ''
|
||||
pad = ' ' + sep + ' '
|
||||
cells = []
|
||||
for value, width in zip(values, widths):
|
||||
wrapper.width = width
|
||||
text = to_unicode(value)
|
||||
cell = wrapper.wrap(text)
|
||||
cells.append(cell)
|
||||
lines = izip_longest(*cells, fillvalue='')
|
||||
lines = (
|
||||
(just(cell_line, widths[i]) for i, cell_line in enumerate(line))
|
||||
for line in lines
|
||||
)
|
||||
lines = [''.join((lpad, pad.join(line), rpad)) for line in lines]
|
||||
return lines
|
||||
|
||||
|
||||
def _get_column_widths(dataset, max_table_width=MAX_TABLE_WIDTH, pad_len=3):
|
||||
"""
|
||||
Returns a list of column widths proportional to the median length
|
||||
of the text in their cells.
|
||||
"""
|
||||
str_lens, word_lens = _get_column_string_lengths(dataset)
|
||||
median_lens = [int(median(lens)) for lens in str_lens]
|
||||
total = sum(median_lens)
|
||||
if total > max_table_width - (pad_len * len(median_lens)):
|
||||
column_widths = (max_table_width * l // total for l in median_lens)
|
||||
else:
|
||||
column_widths = (l for l in median_lens)
|
||||
# Allow for separator and padding:
|
||||
column_widths = (w - pad_len if w > pad_len else w for w in column_widths)
|
||||
# Rather widen table than break words:
|
||||
column_widths = [max(w, l) for w, l in zip(column_widths, word_lens)]
|
||||
return column_widths
|
||||
|
||||
|
||||
def export_set_as_simple_table(dataset, column_widths=None):
|
||||
"""
|
||||
Returns reStructuredText grid table representation of dataset.
|
||||
"""
|
||||
lines = []
|
||||
wrapper = TextWrapper()
|
||||
if column_widths is None:
|
||||
column_widths = _get_column_widths(dataset, pad_len=2)
|
||||
border = ' '.join(['=' * w for w in column_widths])
|
||||
|
||||
lines.append(border)
|
||||
if dataset.headers:
|
||||
lines.extend(_row_to_lines(
|
||||
dataset.headers,
|
||||
column_widths,
|
||||
wrapper,
|
||||
sep='',
|
||||
justify=JUSTIFY_CENTER,
|
||||
))
|
||||
lines.append(border)
|
||||
for row in dataset.dict:
|
||||
values = iter(row.values() if hasattr(row, 'values') else row)
|
||||
lines.extend(_row_to_lines(values, column_widths, wrapper, ''))
|
||||
lines.append(border)
|
||||
return '\n'.join(lines)
|
||||
|
||||
|
||||
def export_set_as_grid_table(dataset, column_widths=None):
|
||||
"""
|
||||
Returns reStructuredText grid table representation of dataset.
|
||||
|
||||
|
||||
>>> from tablib import Dataset
|
||||
>>> from tablib.formats import rst
|
||||
>>> bits = ((0, 0), (1, 0), (0, 1), (1, 1))
|
||||
>>> data = Dataset()
|
||||
>>> data.headers = ['A', 'B', 'A and B']
|
||||
>>> for a, b in bits:
|
||||
... data.append([bool(a), bool(b), bool(a * b)])
|
||||
>>> print(rst.export_set(data, force_grid=True))
|
||||
+-------+-------+-------+
|
||||
| A | B | A and |
|
||||
| | | B |
|
||||
+=======+=======+=======+
|
||||
| False | False | False |
|
||||
+-------+-------+-------+
|
||||
| True | False | False |
|
||||
+-------+-------+-------+
|
||||
| False | True | False |
|
||||
+-------+-------+-------+
|
||||
| True | True | True |
|
||||
+-------+-------+-------+
|
||||
|
||||
"""
|
||||
lines = []
|
||||
wrapper = TextWrapper()
|
||||
if column_widths is None:
|
||||
column_widths = _get_column_widths(dataset)
|
||||
header_sep = '+=' + '=+='.join(['=' * w for w in column_widths]) + '=+'
|
||||
row_sep = '+-' + '-+-'.join(['-' * w for w in column_widths]) + '-+'
|
||||
|
||||
lines.append(row_sep)
|
||||
if dataset.headers:
|
||||
lines.extend(_row_to_lines(
|
||||
dataset.headers,
|
||||
column_widths,
|
||||
wrapper,
|
||||
justify=JUSTIFY_CENTER,
|
||||
))
|
||||
lines.append(header_sep)
|
||||
for row in dataset.dict:
|
||||
values = iter(row.values() if hasattr(row, 'values') else row)
|
||||
lines.extend(_row_to_lines(values, column_widths, wrapper))
|
||||
lines.append(row_sep)
|
||||
return '\n'.join(lines)
|
||||
|
||||
|
||||
def _use_simple_table(head0, col0, width0):
|
||||
"""
|
||||
Use a simple table if the text in the first column is never wrapped
|
||||
|
||||
|
||||
>>> _use_simple_table('menu', ['egg', 'bacon'], 10)
|
||||
True
|
||||
>>> _use_simple_table(None, ['lobster thermidor', 'spam'], 10)
|
||||
False
|
||||
|
||||
"""
|
||||
if head0 is not None:
|
||||
head0 = to_unicode(head0)
|
||||
if len(head0) > width0:
|
||||
return False
|
||||
for cell in col0:
|
||||
cell = to_unicode(cell)
|
||||
if len(cell) > width0:
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
def export_set(dataset, **kwargs):
|
||||
"""
|
||||
Returns reStructuredText table representation of dataset.
|
||||
|
||||
Returns a simple table if the text in the first column is never
|
||||
wrapped, otherwise returns a grid table.
|
||||
|
||||
|
||||
>>> from tablib import Dataset
|
||||
>>> bits = ((0, 0), (1, 0), (0, 1), (1, 1))
|
||||
>>> data = Dataset()
|
||||
>>> data.headers = ['A', 'B', 'A and B']
|
||||
>>> for a, b in bits:
|
||||
... data.append([bool(a), bool(b), bool(a * b)])
|
||||
>>> table = data.rst
|
||||
>>> table.split('\\n') == [
|
||||
... '===== ===== =====',
|
||||
... ' A B A and',
|
||||
... ' B ',
|
||||
... '===== ===== =====',
|
||||
... 'False False False',
|
||||
... 'True False False',
|
||||
... 'False True False',
|
||||
... 'True True True ',
|
||||
... '===== ===== =====',
|
||||
... ]
|
||||
True
|
||||
|
||||
"""
|
||||
if not dataset.dict:
|
||||
return ''
|
||||
force_grid = kwargs.get('force_grid', False)
|
||||
max_table_width = kwargs.get('max_table_width', MAX_TABLE_WIDTH)
|
||||
column_widths = _get_column_widths(dataset, max_table_width)
|
||||
|
||||
use_simple_table = _use_simple_table(
|
||||
dataset.headers[0] if dataset.headers else None,
|
||||
dataset.get_col(0),
|
||||
column_widths[0],
|
||||
)
|
||||
if use_simple_table and not force_grid:
|
||||
return export_set_as_simple_table(dataset, column_widths)
|
||||
else:
|
||||
return export_set_as_grid_table(dataset, column_widths)
|
||||
|
||||
|
||||
def export_book(databook):
|
||||
"""
|
||||
reStructuredText representation of a Databook.
|
||||
|
||||
Tables are separated by a blank line. All tables use the grid
|
||||
format.
|
||||
"""
|
||||
return '\n\n'.join(export_set(dataset, force_grid=True)
|
||||
for dataset in databook._datasets)
|
||||
@@ -0,0 +1,30 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
""" Tablib - TSV (Tab Separated Values) Support.
|
||||
"""
|
||||
|
||||
from tablib.compat import unicode
|
||||
from tablib.formats._csv import (
|
||||
export_set as export_set_wrapper,
|
||||
import_set as import_set_wrapper,
|
||||
detect as detect_wrapper,
|
||||
)
|
||||
|
||||
title = 'tsv'
|
||||
extensions = ('tsv',)
|
||||
|
||||
DELIMITER = unicode('\t')
|
||||
|
||||
def export_set(dataset):
|
||||
"""Returns TSV representation of Dataset."""
|
||||
return export_set_wrapper(dataset, delimiter=DELIMITER)
|
||||
|
||||
|
||||
def import_set(dset, in_stream, headers=True):
|
||||
"""Returns dataset from TSV stream."""
|
||||
return import_set_wrapper(dset, in_stream, headers=headers, delimiter=DELIMITER)
|
||||
|
||||
|
||||
def detect(stream):
|
||||
"""Returns True if given stream is valid TSV."""
|
||||
return detect_wrapper(stream, delimiter=DELIMITER)
|
||||
+104
-39
@@ -3,71 +3,136 @@
|
||||
""" Tablib - XLS Support.
|
||||
"""
|
||||
|
||||
import xlwt
|
||||
import cStringIO
|
||||
import sys
|
||||
|
||||
from tablib.compat import BytesIO, xrange
|
||||
import tablib
|
||||
import xlrd
|
||||
import xlwt
|
||||
from xlrd.biffh import XLRDError
|
||||
|
||||
title = 'xls'
|
||||
extentions = ('xls',)
|
||||
extensions = ('xls',)
|
||||
|
||||
# special styles
|
||||
wrap = xlwt.easyxf("alignment: wrap on")
|
||||
bold = xlwt.easyxf("font: bold on")
|
||||
|
||||
|
||||
def detect(stream):
|
||||
"""Returns True if given stream is a readable excel file."""
|
||||
try:
|
||||
xlrd.open_workbook(file_contents=stream)
|
||||
return True
|
||||
except (TypeError, XLRDError):
|
||||
pass
|
||||
try:
|
||||
xlrd.open_workbook(file_contents=stream.read())
|
||||
return True
|
||||
except (AttributeError, XLRDError):
|
||||
pass
|
||||
try:
|
||||
xlrd.open_workbook(filename=stream)
|
||||
return True
|
||||
except:
|
||||
return False
|
||||
|
||||
|
||||
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 'Tablib Dataset')
|
||||
|
||||
dset_sheet(dataset, ws)
|
||||
|
||||
stream = cStringIO.StringIO()
|
||||
wb.save(stream)
|
||||
return stream.getvalue()
|
||||
dset_sheet(dataset, ws)
|
||||
|
||||
stream = BytesIO()
|
||||
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 = BytesIO()
|
||||
wb.save(stream)
|
||||
return stream.getvalue()
|
||||
|
||||
|
||||
def import_set(dset, in_stream, headers=True):
|
||||
"""Returns databook from XLS stream."""
|
||||
|
||||
dset.wipe()
|
||||
|
||||
xls_book = xlrd.open_workbook(file_contents=in_stream)
|
||||
sheet = xls_book.sheet_by_index(0)
|
||||
|
||||
dset.title = sheet.name
|
||||
|
||||
for i in xrange(sheet.nrows):
|
||||
if (i == 0) and (headers):
|
||||
dset.headers = sheet.row_values(0)
|
||||
else:
|
||||
dset.append(sheet.row_values(i))
|
||||
|
||||
def import_book(dbook, in_stream, headers=True):
|
||||
"""Returns databook from XLS stream."""
|
||||
|
||||
dbook.wipe()
|
||||
|
||||
xls_book = xlrd.open_workbook(file_contents=in_stream)
|
||||
|
||||
for sheet in xls_book.sheets():
|
||||
data = tablib.Dataset()
|
||||
data.title = sheet.name
|
||||
|
||||
for i in xrange(sheet.nrows):
|
||||
if (i == 0) and (headers):
|
||||
data.headers = sheet.row_values(0)
|
||||
else:
|
||||
data.append(sheet.row_values(i))
|
||||
|
||||
dbook.add_sheet(data)
|
||||
|
||||
|
||||
def dset_sheet(dataset, ws):
|
||||
"""Completes given worksheet from given Dataset."""
|
||||
_package = dataset._package(dicts=False)
|
||||
"""Completes given worksheet from given Dataset."""
|
||||
_package = dataset._package(dicts=False)
|
||||
|
||||
for i, sep in enumerate(dataset._separators):
|
||||
_offset = i
|
||||
_package.insert((sep[0] + _offset), (sep[1],))
|
||||
for i, sep in enumerate(dataset._separators):
|
||||
_offset = i
|
||||
_package.insert((sep[0] + _offset), (sep[1],))
|
||||
|
||||
for i, row in enumerate(_package):
|
||||
for j, col in enumerate(row):
|
||||
for i, row in enumerate(_package):
|
||||
for j, col in enumerate(row):
|
||||
|
||||
# bold headers
|
||||
if (i == 0) and dataset.headers:
|
||||
ws.write(i, j, col, bold)
|
||||
# bold headers
|
||||
if (i == 0) and dataset.headers:
|
||||
ws.write(i, j, col, bold)
|
||||
|
||||
# bold separators
|
||||
elif len(row) < dataset.width:
|
||||
ws.write(i, j, col, bold)
|
||||
# frozen header row
|
||||
ws.panes_frozen = True
|
||||
ws.horz_split_pos = 1
|
||||
|
||||
# wrap the rest
|
||||
else:
|
||||
if '\n' in col:
|
||||
ws.write(i, j, col, wrap)
|
||||
else:
|
||||
ws.write(i, j, col)
|
||||
|
||||
|
||||
# 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)
|
||||
|
||||
@@ -0,0 +1,147 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
""" Tablib - XLSX Support.
|
||||
"""
|
||||
|
||||
import sys
|
||||
|
||||
|
||||
if sys.version_info[0] > 2:
|
||||
from io import BytesIO
|
||||
else:
|
||||
from cStringIO import StringIO as BytesIO
|
||||
|
||||
import openpyxl
|
||||
import tablib
|
||||
|
||||
Workbook = openpyxl.workbook.Workbook
|
||||
ExcelWriter = openpyxl.writer.excel.ExcelWriter
|
||||
get_column_letter = openpyxl.utils.get_column_letter
|
||||
|
||||
from tablib.compat import unicode
|
||||
|
||||
|
||||
title = 'xlsx'
|
||||
extensions = ('xlsx',)
|
||||
|
||||
|
||||
def detect(stream):
|
||||
"""Returns True if given stream is a readable excel file."""
|
||||
try:
|
||||
openpyxl.reader.excel.load_workbook(stream)
|
||||
return True
|
||||
except openpyxl.shared.exc.InvalidFileException:
|
||||
pass
|
||||
|
||||
def export_set(dataset, freeze_panes=True):
|
||||
"""Returns XLSX representation of Dataset."""
|
||||
|
||||
wb = Workbook()
|
||||
ws = wb.worksheets[0]
|
||||
ws.title = dataset.title if dataset.title else 'Tablib Dataset'
|
||||
|
||||
dset_sheet(dataset, ws, freeze_panes=freeze_panes)
|
||||
|
||||
stream = BytesIO()
|
||||
wb.save(stream)
|
||||
return stream.getvalue()
|
||||
|
||||
|
||||
def export_book(databook, freeze_panes=True):
|
||||
"""Returns XLSX representation of DataBook."""
|
||||
|
||||
wb = Workbook()
|
||||
for sheet in wb.worksheets:
|
||||
wb.remove(sheet)
|
||||
for i, dset in enumerate(databook._datasets):
|
||||
ws = wb.create_sheet()
|
||||
ws.title = dset.title if dset.title else 'Sheet%s' % (i)
|
||||
|
||||
dset_sheet(dset, ws, freeze_panes=freeze_panes)
|
||||
|
||||
|
||||
stream = BytesIO()
|
||||
wb.save(stream)
|
||||
return stream.getvalue()
|
||||
|
||||
|
||||
def import_set(dset, in_stream, headers=True):
|
||||
"""Returns databook from XLS stream."""
|
||||
|
||||
dset.wipe()
|
||||
|
||||
xls_book = openpyxl.reader.excel.load_workbook(BytesIO(in_stream))
|
||||
sheet = xls_book.active
|
||||
|
||||
dset.title = sheet.title
|
||||
|
||||
for i, row in enumerate(sheet.rows):
|
||||
row_vals = [c.value for c in row]
|
||||
if (i == 0) and (headers):
|
||||
dset.headers = row_vals
|
||||
else:
|
||||
dset.append(row_vals)
|
||||
|
||||
|
||||
def import_book(dbook, in_stream, headers=True):
|
||||
"""Returns databook from XLS stream."""
|
||||
|
||||
dbook.wipe()
|
||||
|
||||
xls_book = openpyxl.reader.excel.load_workbook(BytesIO(in_stream))
|
||||
|
||||
for sheet in xls_book.worksheets:
|
||||
data = tablib.Dataset()
|
||||
data.title = sheet.title
|
||||
|
||||
for i, row in enumerate(sheet.rows):
|
||||
row_vals = [c.value for c in row]
|
||||
if (i == 0) and (headers):
|
||||
data.headers = row_vals
|
||||
else:
|
||||
data.append(row_vals)
|
||||
|
||||
dbook.add_sheet(data)
|
||||
|
||||
|
||||
def dset_sheet(dataset, ws, freeze_panes=True):
|
||||
"""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],))
|
||||
|
||||
bold = openpyxl.styles.Font(bold=True)
|
||||
wrap_text = openpyxl.styles.Alignment(wrap_text=True)
|
||||
|
||||
for i, row in enumerate(_package):
|
||||
row_number = i + 1
|
||||
for j, col in enumerate(row):
|
||||
col_idx = get_column_letter(j + 1)
|
||||
cell = ws['%s%s' % (col_idx, row_number)]
|
||||
|
||||
# bold headers
|
||||
if (row_number == 1) and dataset.headers:
|
||||
# cell.value = unicode('%s' % col, errors='ignore')
|
||||
cell.value = unicode(col)
|
||||
cell.font = bold
|
||||
if freeze_panes:
|
||||
# Export Freeze only after first Line
|
||||
ws.freeze_panes = 'A2'
|
||||
|
||||
# bold separators
|
||||
elif len(row) < dataset.width:
|
||||
cell.value = unicode('%s' % col, errors='ignore')
|
||||
cell.font = bold
|
||||
|
||||
# wrap the rest
|
||||
else:
|
||||
try:
|
||||
if '\n' in col:
|
||||
cell.value = unicode('%s' % col, errors='ignore')
|
||||
cell.alignment = wrap_text
|
||||
else:
|
||||
cell.value = unicode('%s' % col, errors='ignore')
|
||||
except TypeError:
|
||||
cell.value = unicode(col)
|
||||
+29
-29
@@ -3,51 +3,51 @@
|
||||
""" Tablib - YAML Support.
|
||||
"""
|
||||
|
||||
import yaml
|
||||
import tablib
|
||||
|
||||
|
||||
import yaml
|
||||
|
||||
title = 'yaml'
|
||||
extentions = ('yaml', 'yml')
|
||||
|
||||
extensions = ('yaml', 'yml')
|
||||
|
||||
|
||||
def export_set(dataset):
|
||||
"""Returns YAML representation of Dataset."""
|
||||
return yaml.dump(dataset.dict)
|
||||
"""Returns YAML representation of Dataset."""
|
||||
|
||||
return yaml.safe_dump(dataset._package(ordered=False))
|
||||
|
||||
|
||||
def export_book(databook):
|
||||
"""Returns YAML representation of Databook."""
|
||||
return yaml.dump(databook._package())
|
||||
"""Returns YAML representation of Databook."""
|
||||
return yaml.safe_dump(databook._package(ordered=False))
|
||||
|
||||
|
||||
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.safe_load(in_stream)
|
||||
|
||||
|
||||
def import_book(dbook, in_stream):
|
||||
"""Returns databook from YAML stream."""
|
||||
"""Returns databook from YAML stream."""
|
||||
|
||||
dbook.wipe()
|
||||
|
||||
for sheet in yaml.safe_load(in_stream):
|
||||
data = tablib.Dataset()
|
||||
data.title = sheet['title']
|
||||
data.dict = sheet['data']
|
||||
dbook.add_sheet(data)
|
||||
|
||||
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)
|
||||
|
||||
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.safe_load(stream)
|
||||
if isinstance(_yaml, (list, tuple, dict)):
|
||||
return True
|
||||
else:
|
||||
return False
|
||||
except (yaml.parser.ParserError, yaml.reader.ReaderError,
|
||||
yaml.scanner.ScannerError):
|
||||
return False
|
||||
|
||||
@@ -1,37 +0,0 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
""" Tablib - General Helpers.
|
||||
"""
|
||||
|
||||
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)
|
||||
|
||||
def dictionary(self):
|
||||
"""Returns dictionary representation of object."""
|
||||
return self.__dict__
|
||||
|
||||
def items(self):
|
||||
"""Returns items within object."""
|
||||
return self.__dict__.items()
|
||||
|
||||
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
|
||||
|
||||
@@ -0,0 +1,297 @@
|
||||
#! /usr/bin/env python
|
||||
"""DBF accessing helpers.
|
||||
|
||||
FIXME: more documentation needed
|
||||
|
||||
Examples:
|
||||
|
||||
Create new table, setup structure, add records:
|
||||
|
||||
dbf = Dbf(filename, new=True)
|
||||
dbf.addField(
|
||||
("NAME", "C", 15),
|
||||
("SURNAME", "C", 25),
|
||||
("INITIALS", "C", 10),
|
||||
("BIRTHDATE", "D"),
|
||||
)
|
||||
for (n, s, i, b) in (
|
||||
("John", "Miller", "YC", (1980, 10, 11)),
|
||||
("Andy", "Larkin", "", (1980, 4, 11)),
|
||||
):
|
||||
rec = dbf.newRecord()
|
||||
rec["NAME"] = n
|
||||
rec["SURNAME"] = s
|
||||
rec["INITIALS"] = i
|
||||
rec["BIRTHDATE"] = b
|
||||
rec.store()
|
||||
dbf.close()
|
||||
|
||||
Open existed dbf, read some data:
|
||||
|
||||
dbf = Dbf(filename, True)
|
||||
for rec in dbf:
|
||||
for fldName in dbf.fieldNames:
|
||||
print '%s:\t %s (%s)' % (fldName, rec[fldName],
|
||||
type(rec[fldName]))
|
||||
print
|
||||
dbf.close()
|
||||
|
||||
"""
|
||||
"""History (most recent first):
|
||||
11-feb-2007 [als] export INVALID_VALUE;
|
||||
Dbf: added .ignoreErrors, .INVALID_VALUE
|
||||
04-jul-2006 [als] added export declaration
|
||||
20-dec-2005 [yc] removed fromStream and newDbf methods:
|
||||
use argument of __init__ call must be used instead;
|
||||
added class fields pointing to the header and
|
||||
record classes.
|
||||
17-dec-2005 [yc] split to several modules; reimplemented
|
||||
13-dec-2005 [yc] adapted to the changes of the `strutil` module.
|
||||
13-sep-2002 [als] support FoxPro Timestamp datatype
|
||||
15-nov-1999 [jjk] documentation updates, add demo
|
||||
24-aug-1998 [jjk] add some encodeValue methods (not tested), other tweaks
|
||||
08-jun-1998 [jjk] fix problems, add more features
|
||||
20-feb-1998 [jjk] fix problems, add more features
|
||||
19-feb-1998 [jjk] add create/write capabilities
|
||||
18-feb-1998 [jjk] from dbfload.py
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.7 $"[11:-2]
|
||||
__date__ = "$Date: 2007/02/11 09:23:13 $"[7:-2]
|
||||
__author__ = "Jeff Kunce <kuncej@mail.conservation.state.mo.us>"
|
||||
|
||||
__all__ = ["Dbf"]
|
||||
|
||||
from . import header
|
||||
from . import record
|
||||
from utils import INVALID_VALUE
|
||||
|
||||
|
||||
class Dbf(object):
|
||||
"""DBF accessor.
|
||||
|
||||
FIXME:
|
||||
docs and examples needed (dont' forget to tell
|
||||
about problems adding new fields on the fly)
|
||||
|
||||
Implementation notes:
|
||||
``_new`` field is used to indicate whether this is
|
||||
a new data table. `addField` could be used only for
|
||||
the new tables! If at least one record was appended
|
||||
to the table it's structure couldn't be changed.
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = ("name", "header", "stream",
|
||||
"_changed", "_new", "_ignore_errors")
|
||||
|
||||
HeaderClass = header.DbfHeader
|
||||
RecordClass = record.DbfRecord
|
||||
INVALID_VALUE = INVALID_VALUE
|
||||
|
||||
# initialization and creation helpers
|
||||
|
||||
def __init__(self, f, readOnly=False, new=False, ignoreErrors=False):
|
||||
"""Initialize instance.
|
||||
|
||||
Arguments:
|
||||
f:
|
||||
Filename or file-like object.
|
||||
new:
|
||||
True if new data table must be created. Assume
|
||||
data table exists if this argument is False.
|
||||
readOnly:
|
||||
if ``f`` argument is a string file will
|
||||
be opend in read-only mode; in other cases
|
||||
this argument is ignored. This argument is ignored
|
||||
even if ``new`` argument is True.
|
||||
headerObj:
|
||||
`header.DbfHeader` instance or None. If this argument
|
||||
is None, new empty header will be used with the
|
||||
all fields set by default.
|
||||
ignoreErrors:
|
||||
if set, failing field value conversion will return
|
||||
``INVALID_VALUE`` instead of raising conversion error.
|
||||
|
||||
"""
|
||||
if isinstance(f, basestring):
|
||||
# a filename
|
||||
self.name = f
|
||||
if new:
|
||||
# new table (table file must be
|
||||
# created or opened and truncated)
|
||||
self.stream = file(f, "w+b")
|
||||
else:
|
||||
# tabe file must exist
|
||||
self.stream = file(f, ("r+b", "rb")[bool(readOnly)])
|
||||
else:
|
||||
# a stream
|
||||
self.name = getattr(f, "name", "")
|
||||
self.stream = f
|
||||
if new:
|
||||
# if this is a new table, header will be empty
|
||||
self.header = self.HeaderClass()
|
||||
else:
|
||||
# or instantiated using stream
|
||||
self.header = self.HeaderClass.fromStream(self.stream)
|
||||
self.ignoreErrors = ignoreErrors
|
||||
self._new = bool(new)
|
||||
self._changed = False
|
||||
|
||||
# properties
|
||||
|
||||
closed = property(lambda self: self.stream.closed)
|
||||
recordCount = property(lambda self: self.header.recordCount)
|
||||
fieldNames = property(
|
||||
lambda self: [_fld.name for _fld in self.header.fields])
|
||||
fieldDefs = property(lambda self: self.header.fields)
|
||||
changed = property(lambda self: self._changed or self.header.changed)
|
||||
|
||||
def ignoreErrors(self, value):
|
||||
"""Update `ignoreErrors` flag on the header object and self"""
|
||||
self.header.ignoreErrors = self._ignore_errors = bool(value)
|
||||
|
||||
ignoreErrors = property(
|
||||
lambda self: self._ignore_errors,
|
||||
ignoreErrors,
|
||||
doc="""Error processing mode for DBF field value conversion
|
||||
|
||||
if set, failing field value conversion will return
|
||||
``INVALID_VALUE`` instead of raising conversion error.
|
||||
|
||||
""")
|
||||
|
||||
# protected methods
|
||||
|
||||
def _fixIndex(self, index):
|
||||
"""Return fixed index.
|
||||
|
||||
This method fails if index isn't a numeric object
|
||||
(long or int). Or index isn't in a valid range
|
||||
(less or equal to the number of records in the db).
|
||||
|
||||
If ``index`` is a negative number, it will be
|
||||
treated as a negative indexes for list objects.
|
||||
|
||||
Return:
|
||||
Return value is numeric object maning valid index.
|
||||
|
||||
"""
|
||||
if not isinstance(index, (int, long)):
|
||||
raise TypeError("Index must be a numeric object")
|
||||
if index < 0:
|
||||
# index from the right side
|
||||
# fix it to the left-side index
|
||||
index += len(self) + 1
|
||||
if index >= len(self):
|
||||
raise IndexError("Record index out of range")
|
||||
return index
|
||||
|
||||
# iterface methods
|
||||
|
||||
def close(self):
|
||||
self.flush()
|
||||
self.stream.close()
|
||||
|
||||
def flush(self):
|
||||
"""Flush data to the associated stream."""
|
||||
if self.changed:
|
||||
self.header.setCurrentDate()
|
||||
self.header.write(self.stream)
|
||||
self.stream.flush()
|
||||
self._changed = False
|
||||
|
||||
def indexOfFieldName(self, name):
|
||||
"""Index of field named ``name``."""
|
||||
# FIXME: move this to header class
|
||||
return self.header.fields.index(name)
|
||||
|
||||
def newRecord(self):
|
||||
"""Return new record, which belong to this table."""
|
||||
return self.RecordClass(self)
|
||||
|
||||
def append(self, record):
|
||||
"""Append ``record`` to the database."""
|
||||
record.index = self.header.recordCount
|
||||
record._write()
|
||||
self.header.recordCount += 1
|
||||
self._changed = True
|
||||
self._new = False
|
||||
|
||||
def addField(self, *defs):
|
||||
"""Add field definitions.
|
||||
|
||||
For more information see `header.DbfHeader.addField`.
|
||||
|
||||
"""
|
||||
if self._new:
|
||||
self.header.addField(*defs)
|
||||
else:
|
||||
raise TypeError("At least one record was added, "
|
||||
"structure can't be changed")
|
||||
|
||||
# 'magic' methods (representation and sequence interface)
|
||||
|
||||
def __repr__(self):
|
||||
return "Dbf stream '%s'\n" % self.stream + repr(self.header)
|
||||
|
||||
def __len__(self):
|
||||
"""Return number of records."""
|
||||
return self.recordCount
|
||||
|
||||
def __getitem__(self, index):
|
||||
"""Return `DbfRecord` instance."""
|
||||
return self.RecordClass.fromStream(self, self._fixIndex(index))
|
||||
|
||||
def __setitem__(self, index, record):
|
||||
"""Write `DbfRecord` instance to the stream."""
|
||||
record.index = self._fixIndex(index)
|
||||
record._write()
|
||||
self._changed = True
|
||||
self._new = False
|
||||
|
||||
# def __del__(self):
|
||||
# """Flush stream upon deletion of the object."""
|
||||
# self.flush()
|
||||
|
||||
|
||||
def demo_read(filename):
|
||||
_dbf = Dbf(filename, True)
|
||||
for _rec in _dbf:
|
||||
print
|
||||
print(repr(_rec))
|
||||
_dbf.close()
|
||||
|
||||
|
||||
def demo_create(filename):
|
||||
_dbf = Dbf(filename, new=True)
|
||||
_dbf.addField(
|
||||
("NAME", "C", 15),
|
||||
("SURNAME", "C", 25),
|
||||
("INITIALS", "C", 10),
|
||||
("BIRTHDATE", "D"),
|
||||
)
|
||||
for (_n, _s, _i, _b) in (
|
||||
("John", "Miller", "YC", (1981, 1, 2)),
|
||||
("Andy", "Larkin", "AL", (1982, 3, 4)),
|
||||
("Bill", "Clinth", "", (1983, 5, 6)),
|
||||
("Bobb", "McNail", "", (1984, 7, 8)),
|
||||
):
|
||||
_rec = _dbf.newRecord()
|
||||
_rec["NAME"] = _n
|
||||
_rec["SURNAME"] = _s
|
||||
_rec["INITIALS"] = _i
|
||||
_rec["BIRTHDATE"] = _b
|
||||
_rec.store()
|
||||
print(repr(_dbf))
|
||||
_dbf.close()
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
import sys
|
||||
|
||||
_name = len(sys.argv) > 1 and sys.argv[1] or "county.dbf"
|
||||
demo_create(_name)
|
||||
demo_read(_name)
|
||||
|
||||
# vim: set et sw=4 sts=4 :
|
||||
@@ -0,0 +1,189 @@
|
||||
#!/usr/bin/python
|
||||
""".DBF creation helpers.
|
||||
|
||||
Note: this is a legacy interface. New code should use Dbf class
|
||||
for table creation (see examples in dbf.py)
|
||||
|
||||
TODO:
|
||||
- handle Memo fields.
|
||||
- check length of the fields accoring to the
|
||||
`http://www.clicketyclick.dk/databases/xbase/format/data_types.html`
|
||||
|
||||
"""
|
||||
"""History (most recent first)
|
||||
04-jul-2006 [als] added export declaration;
|
||||
updated for dbfpy 2.0
|
||||
15-dec-2005 [yc] define dbf_new.__slots__
|
||||
14-dec-2005 [yc] added vim modeline; retab'd; added doc-strings;
|
||||
dbf_new now is a new class (inherited from object)
|
||||
??-jun-2000 [--] added by Hans Fiby
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.4 $"[11:-2]
|
||||
__date__ = "$Date: 2006/07/04 08:18:18 $"[7:-2]
|
||||
|
||||
__all__ = ["dbf_new"]
|
||||
|
||||
from dbf import *
|
||||
from fields import *
|
||||
from header import *
|
||||
from record import *
|
||||
|
||||
|
||||
class _FieldDefinition(object):
|
||||
"""Field definition.
|
||||
|
||||
This is a simple structure, which contains ``name``, ``type``,
|
||||
``len``, ``dec`` and ``cls`` fields.
|
||||
|
||||
Objects also implement get/setitem magic functions, so fields
|
||||
could be accessed via sequence iterface, where 'name' has
|
||||
index 0, 'type' index 1, 'len' index 2, 'dec' index 3 and
|
||||
'cls' could be located at index 4.
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = "name", "type", "len", "dec", "cls"
|
||||
|
||||
# WARNING: be attentive - dictionaries are mutable!
|
||||
FLD_TYPES = {
|
||||
# type: (cls, len)
|
||||
"C": (DbfCharacterFieldDef, None),
|
||||
"N": (DbfNumericFieldDef, None),
|
||||
"L": (DbfLogicalFieldDef, 1),
|
||||
# FIXME: support memos
|
||||
# "M": (DbfMemoFieldDef),
|
||||
"D": (DbfDateFieldDef, 8),
|
||||
# FIXME: I'm not sure length should be 14 characters!
|
||||
# but temporary I use it, cuz date is 8 characters
|
||||
# and time 6 (hhmmss)
|
||||
"T": (DbfDateTimeFieldDef, 14),
|
||||
}
|
||||
|
||||
def __init__(self, name, type, len=None, dec=0):
|
||||
_cls, _len = self.FLD_TYPES[type]
|
||||
if _len is None:
|
||||
if len is None:
|
||||
raise ValueError("Field length must be defined")
|
||||
_len = len
|
||||
self.name = name
|
||||
self.type = type
|
||||
self.len = _len
|
||||
self.dec = dec
|
||||
self.cls = _cls
|
||||
|
||||
def getDbfField(self):
|
||||
"Return `DbfFieldDef` instance from the current definition."
|
||||
return self.cls(self.name, self.len, self.dec)
|
||||
|
||||
def appendToHeader(self, dbfh):
|
||||
"""Create a `DbfFieldDef` instance and append it to the dbf header.
|
||||
|
||||
Arguments:
|
||||
dbfh: `DbfHeader` instance.
|
||||
|
||||
"""
|
||||
_dbff = self.getDbfField()
|
||||
dbfh.addField(_dbff)
|
||||
|
||||
|
||||
class dbf_new(object):
|
||||
"""New .DBF creation helper.
|
||||
|
||||
Example Usage:
|
||||
|
||||
dbfn = dbf_new()
|
||||
dbfn.add_field("name",'C',80)
|
||||
dbfn.add_field("price",'N',10,2)
|
||||
dbfn.add_field("date",'D',8)
|
||||
dbfn.write("tst.dbf")
|
||||
|
||||
Note:
|
||||
This module cannot handle Memo-fields,
|
||||
they are special.
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = ("fields",)
|
||||
|
||||
FieldDefinitionClass = _FieldDefinition
|
||||
|
||||
def __init__(self):
|
||||
self.fields = []
|
||||
|
||||
def add_field(self, name, typ, len, dec=0):
|
||||
"""Add field definition.
|
||||
|
||||
Arguments:
|
||||
name:
|
||||
field name (str object). field name must not
|
||||
contain ASCII NULs and it's length shouldn't
|
||||
exceed 10 characters.
|
||||
typ:
|
||||
type of the field. this must be a single character
|
||||
from the "CNLMDT" set meaning character, numeric,
|
||||
logical, memo, date and date/time respectively.
|
||||
len:
|
||||
length of the field. this argument is used only for
|
||||
the character and numeric fields. all other fields
|
||||
have fixed length.
|
||||
FIXME: use None as a default for this argument?
|
||||
dec:
|
||||
decimal precision. used only for the numric fields.
|
||||
|
||||
"""
|
||||
self.fields.append(self.FieldDefinitionClass(name, typ, len, dec))
|
||||
|
||||
def write(self, filename):
|
||||
"""Create empty .DBF file using current structure."""
|
||||
_dbfh = DbfHeader()
|
||||
_dbfh.setCurrentDate()
|
||||
for _fldDef in self.fields:
|
||||
_fldDef.appendToHeader(_dbfh)
|
||||
_dbfStream = file(filename, "wb")
|
||||
_dbfh.write(_dbfStream)
|
||||
_dbfStream.close()
|
||||
|
||||
def write_stream(self, stream):
|
||||
_dbfh = DbfHeader()
|
||||
_dbfh.setCurrentDate()
|
||||
for _fldDef in self.fields:
|
||||
_fldDef.appendToHeader(_dbfh)
|
||||
_dbfh.write(stream)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# create a new DBF-File
|
||||
dbfn = dbf_new()
|
||||
dbfn.add_field("name", 'C', 80)
|
||||
dbfn.add_field("price", 'N', 10, 2)
|
||||
dbfn.add_field("date", 'D', 8)
|
||||
dbfn.write("tst.dbf")
|
||||
# test new dbf
|
||||
print "*** created tst.dbf: ***"
|
||||
dbft = Dbf('tst.dbf', readOnly=0)
|
||||
print repr(dbft)
|
||||
# add a record
|
||||
rec = DbfRecord(dbft)
|
||||
rec['name'] = 'something'
|
||||
rec['price'] = 10.5
|
||||
rec['date'] = (2000, 1, 12)
|
||||
rec.store()
|
||||
# add another record
|
||||
rec = DbfRecord(dbft)
|
||||
rec['name'] = 'foo and bar'
|
||||
rec['price'] = 12234
|
||||
rec['date'] = (1992, 7, 15)
|
||||
rec.store()
|
||||
|
||||
# show the records
|
||||
print "*** inserted 2 records into tst.dbf: ***"
|
||||
print repr(dbft)
|
||||
for i1 in range(len(dbft)):
|
||||
rec = dbft[i1]
|
||||
for fldName in dbft.fieldNames:
|
||||
print '%s:\t %s' % (fldName, rec[fldName])
|
||||
print
|
||||
dbft.close()
|
||||
|
||||
# vim: set et sts=4 sw=4 :
|
||||
@@ -0,0 +1,466 @@
|
||||
"""DBF fields definitions.
|
||||
|
||||
TODO:
|
||||
- make memos work
|
||||
"""
|
||||
"""History (most recent first):
|
||||
26-may-2009 [als] DbfNumericFieldDef.decodeValue: strip zero bytes
|
||||
05-feb-2009 [als] DbfDateFieldDef.encodeValue: empty arg produces empty date
|
||||
16-sep-2008 [als] DbfNumericFieldDef decoding looks for decimal point
|
||||
in the value to select float or integer return type
|
||||
13-mar-2008 [als] check field name length in constructor
|
||||
11-feb-2007 [als] handle value conversion errors
|
||||
10-feb-2007 [als] DbfFieldDef: added .rawFromRecord()
|
||||
01-dec-2006 [als] Timestamp columns use None for empty values
|
||||
31-oct-2006 [als] support field types 'F' (float), 'I' (integer)
|
||||
and 'Y' (currency);
|
||||
automate export and registration of field classes
|
||||
04-jul-2006 [als] added export declaration
|
||||
10-mar-2006 [als] decode empty values for Date and Logical fields;
|
||||
show field name in errors
|
||||
10-mar-2006 [als] fix Numeric value decoding: according to spec,
|
||||
value always is string representation of the number;
|
||||
ensure that encoded Numeric value fits into the field
|
||||
20-dec-2005 [yc] use field names in upper case
|
||||
15-dec-2005 [yc] field definitions moved from `dbf`.
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.14 $"[11:-2]
|
||||
__date__ = "$Date: 2009/05/26 05:16:51 $"[7:-2]
|
||||
|
||||
__all__ = ["lookupFor",] # field classes added at the end of the module
|
||||
|
||||
import datetime
|
||||
import struct
|
||||
import sys
|
||||
|
||||
from . import utils
|
||||
|
||||
## abstract definitions
|
||||
|
||||
class DbfFieldDef(object):
|
||||
"""Abstract field definition.
|
||||
|
||||
Child classes must override ``type`` class attribute to provide datatype
|
||||
infromation of the field definition. For more info about types visit
|
||||
`http://www.clicketyclick.dk/databases/xbase/format/data_types.html`
|
||||
|
||||
Also child classes must override ``defaultValue`` field to provide
|
||||
default value for the field value.
|
||||
|
||||
If child class has fixed length ``length`` class attribute must be
|
||||
overriden and set to the valid value. None value means, that field
|
||||
isn't of fixed length.
|
||||
|
||||
Note: ``name`` field must not be changed after instantiation.
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = ("name", "length", "decimalCount",
|
||||
"start", "end", "ignoreErrors")
|
||||
|
||||
# length of the field, None in case of variable-length field,
|
||||
# or a number if this field is a fixed-length field
|
||||
length = None
|
||||
|
||||
# field type. for more information about fields types visit
|
||||
# `http://www.clicketyclick.dk/databases/xbase/format/data_types.html`
|
||||
# must be overriden in child classes
|
||||
typeCode = None
|
||||
|
||||
# default value for the field. this field must be
|
||||
# overriden in child classes
|
||||
defaultValue = None
|
||||
|
||||
def __init__(self, name, length=None, decimalCount=None,
|
||||
start=None, stop=None, ignoreErrors=False,
|
||||
):
|
||||
"""Initialize instance."""
|
||||
assert self.typeCode is not None, "Type code must be overriden"
|
||||
assert self.defaultValue is not None, "Default value must be overriden"
|
||||
## fix arguments
|
||||
if len(name) >10:
|
||||
raise ValueError("Field name \"%s\" is too long" % name)
|
||||
name = str(name).upper()
|
||||
if self.__class__.length is None:
|
||||
if length is None:
|
||||
raise ValueError("[%s] Length isn't specified" % name)
|
||||
length = int(length)
|
||||
if length <= 0:
|
||||
raise ValueError("[%s] Length must be a positive integer"
|
||||
% name)
|
||||
else:
|
||||
length = self.length
|
||||
if decimalCount is None:
|
||||
decimalCount = 0
|
||||
## set fields
|
||||
self.name = name
|
||||
# FIXME: validate length according to the specification at
|
||||
# http://www.clicketyclick.dk/databases/xbase/format/data_types.html
|
||||
self.length = length
|
||||
self.decimalCount = decimalCount
|
||||
self.ignoreErrors = ignoreErrors
|
||||
self.start = start
|
||||
self.end = stop
|
||||
|
||||
def __cmp__(self, other):
|
||||
return cmp(self.name, str(other).upper())
|
||||
|
||||
def __hash__(self):
|
||||
return hash(self.name)
|
||||
|
||||
def fromString(cls, string, start, ignoreErrors=False):
|
||||
"""Decode dbf field definition from the string data.
|
||||
|
||||
Arguments:
|
||||
string:
|
||||
a string, dbf definition is decoded from. length of
|
||||
the string must be 32 bytes.
|
||||
start:
|
||||
position in the database file.
|
||||
ignoreErrors:
|
||||
initial error processing mode for the new field (boolean)
|
||||
|
||||
"""
|
||||
assert len(string) == 32
|
||||
_length = ord(string[16])
|
||||
return cls(utils.unzfill(string)[:11], _length, ord(string[17]),
|
||||
start, start + _length, ignoreErrors=ignoreErrors)
|
||||
fromString = classmethod(fromString)
|
||||
|
||||
def toString(self):
|
||||
"""Return encoded field definition.
|
||||
|
||||
Return:
|
||||
Return value is a string object containing encoded
|
||||
definition of this field.
|
||||
|
||||
"""
|
||||
if sys.version_info < (2, 4):
|
||||
# earlier versions did not support padding character
|
||||
_name = self.name[:11] + "\0" * (11 - len(self.name))
|
||||
else:
|
||||
_name = self.name.ljust(11, '\0')
|
||||
return (
|
||||
_name +
|
||||
self.typeCode +
|
||||
#data address
|
||||
chr(0) * 4 +
|
||||
chr(self.length) +
|
||||
chr(self.decimalCount) +
|
||||
chr(0) * 14
|
||||
)
|
||||
|
||||
def __repr__(self):
|
||||
return "%-10s %1s %3d %3d" % self.fieldInfo()
|
||||
|
||||
def fieldInfo(self):
|
||||
"""Return field information.
|
||||
|
||||
Return:
|
||||
Return value is a (name, type, length, decimals) tuple.
|
||||
|
||||
"""
|
||||
return (self.name, self.typeCode, self.length, self.decimalCount)
|
||||
|
||||
def rawFromRecord(self, record):
|
||||
"""Return a "raw" field value from the record string."""
|
||||
return record[self.start:self.end]
|
||||
|
||||
def decodeFromRecord(self, record):
|
||||
"""Return decoded field value from the record string."""
|
||||
try:
|
||||
return self.decodeValue(self.rawFromRecord(record))
|
||||
except:
|
||||
if self.ignoreErrors:
|
||||
return utils.INVALID_VALUE
|
||||
else:
|
||||
raise
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return decoded value from string value.
|
||||
|
||||
This method shouldn't be used publicly. It's called from the
|
||||
`decodeFromRecord` method.
|
||||
|
||||
This is an abstract method and it must be overridden in child classes.
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return str object containing encoded field value.
|
||||
|
||||
This is an abstract method and it must be overriden in child classes.
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
## real classes
|
||||
|
||||
class DbfCharacterFieldDef(DbfFieldDef):
|
||||
"""Definition of the character field."""
|
||||
|
||||
typeCode = "C"
|
||||
defaultValue = ""
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return string object.
|
||||
|
||||
Return value is a ``value`` argument with stripped right spaces.
|
||||
|
||||
"""
|
||||
return value.rstrip(" ")
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return raw data string encoded from a ``value``."""
|
||||
return str(value)[:self.length].ljust(self.length)
|
||||
|
||||
|
||||
class DbfNumericFieldDef(DbfFieldDef):
|
||||
"""Definition of the numeric field."""
|
||||
|
||||
typeCode = "N"
|
||||
# XXX: now I'm not sure it was a good idea to make a class field
|
||||
# `defaultValue` instead of a generic method as it was implemented
|
||||
# previously -- it's ok with all types except number, cuz
|
||||
# if self.decimalCount is 0, we should return 0 and 0.0 otherwise.
|
||||
defaultValue = 0
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return a number decoded from ``value``.
|
||||
|
||||
If decimals is zero, value will be decoded as an integer;
|
||||
or as a float otherwise.
|
||||
|
||||
Return:
|
||||
Return value is a int (long) or float instance.
|
||||
|
||||
"""
|
||||
value = value.strip(" \0")
|
||||
if "." in value:
|
||||
# a float (has decimal separator)
|
||||
return float(value)
|
||||
elif value:
|
||||
# must be an integer
|
||||
return int(value)
|
||||
else:
|
||||
return 0
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return string containing encoded ``value``."""
|
||||
_rv = ("%*.*f" % (self.length, self.decimalCount, value))
|
||||
if len(_rv) > self.length:
|
||||
_ppos = _rv.find(".")
|
||||
if 0 <= _ppos <= self.length:
|
||||
_rv = _rv[:self.length]
|
||||
else:
|
||||
raise ValueError("[%s] Numeric overflow: %s (field width: %i)"
|
||||
% (self.name, _rv, self.length))
|
||||
return _rv
|
||||
|
||||
class DbfFloatFieldDef(DbfNumericFieldDef):
|
||||
"""Definition of the float field - same as numeric."""
|
||||
|
||||
typeCode = "F"
|
||||
|
||||
class DbfIntegerFieldDef(DbfFieldDef):
|
||||
"""Definition of the integer field."""
|
||||
|
||||
typeCode = "I"
|
||||
length = 4
|
||||
defaultValue = 0
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return an integer number decoded from ``value``."""
|
||||
return struct.unpack("<i", value)[0]
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return string containing encoded ``value``."""
|
||||
return struct.pack("<i", int(value))
|
||||
|
||||
class DbfCurrencyFieldDef(DbfFieldDef):
|
||||
"""Definition of the currency field."""
|
||||
|
||||
typeCode = "Y"
|
||||
length = 8
|
||||
defaultValue = 0.0
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return float number decoded from ``value``."""
|
||||
return struct.unpack("<q", value)[0] / 10000.
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return string containing encoded ``value``."""
|
||||
return struct.pack("<q", round(value * 10000))
|
||||
|
||||
class DbfLogicalFieldDef(DbfFieldDef):
|
||||
"""Definition of the logical field."""
|
||||
|
||||
typeCode = "L"
|
||||
defaultValue = -1
|
||||
length = 1
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return True, False or -1 decoded from ``value``."""
|
||||
# Note: value always is 1-char string
|
||||
if value == "?":
|
||||
return -1
|
||||
if value in "NnFf ":
|
||||
return False
|
||||
if value in "YyTt":
|
||||
return True
|
||||
raise ValueError("[%s] Invalid logical value %r" % (self.name, value))
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return a character from the "TF?" set.
|
||||
|
||||
Return:
|
||||
Return value is "T" if ``value`` is True
|
||||
"?" if value is -1 or False otherwise.
|
||||
|
||||
"""
|
||||
if value is True:
|
||||
return "T"
|
||||
if value == -1:
|
||||
return "?"
|
||||
return "F"
|
||||
|
||||
|
||||
class DbfMemoFieldDef(DbfFieldDef):
|
||||
"""Definition of the memo field.
|
||||
|
||||
Note: memos aren't currenly completely supported.
|
||||
|
||||
"""
|
||||
|
||||
typeCode = "M"
|
||||
defaultValue = " " * 10
|
||||
length = 10
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return int .dbt block number decoded from the string object."""
|
||||
#return int(value)
|
||||
raise NotImplementedError
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return raw data string encoded from a ``value``.
|
||||
|
||||
Note: this is an internal method.
|
||||
|
||||
"""
|
||||
#return str(value)[:self.length].ljust(self.length)
|
||||
raise NotImplementedError
|
||||
|
||||
|
||||
class DbfDateFieldDef(DbfFieldDef):
|
||||
"""Definition of the date field."""
|
||||
|
||||
typeCode = "D"
|
||||
defaultValue = utils.classproperty(lambda cls: datetime.date.today())
|
||||
# "yyyymmdd" gives us 8 characters
|
||||
length = 8
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return a ``datetime.date`` instance decoded from ``value``."""
|
||||
if value.strip():
|
||||
return utils.getDate(value)
|
||||
else:
|
||||
return None
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return a string-encoded value.
|
||||
|
||||
``value`` argument should be a value suitable for the
|
||||
`utils.getDate` call.
|
||||
|
||||
Return:
|
||||
Return value is a string in format "yyyymmdd".
|
||||
|
||||
"""
|
||||
if value:
|
||||
return utils.getDate(value).strftime("%Y%m%d")
|
||||
else:
|
||||
return " " * self.length
|
||||
|
||||
|
||||
class DbfDateTimeFieldDef(DbfFieldDef):
|
||||
"""Definition of the timestamp field."""
|
||||
|
||||
# a difference between JDN (Julian Day Number)
|
||||
# and GDN (Gregorian Day Number). note, that GDN < JDN
|
||||
JDN_GDN_DIFF = 1721425
|
||||
typeCode = "T"
|
||||
defaultValue = utils.classproperty(lambda cls: datetime.datetime.now())
|
||||
# two 32-bits integers representing JDN and amount of
|
||||
# milliseconds respectively gives us 8 bytes.
|
||||
# note, that values must be encoded in LE byteorder.
|
||||
length = 8
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return a `datetime.datetime` instance."""
|
||||
assert len(value) == self.length
|
||||
# LE byteorder
|
||||
_jdn, _msecs = struct.unpack("<2I", value)
|
||||
if _jdn >= 1:
|
||||
_rv = datetime.datetime.fromordinal(_jdn - self.JDN_GDN_DIFF)
|
||||
_rv += datetime.timedelta(0, _msecs / 1000.0)
|
||||
else:
|
||||
# empty date
|
||||
_rv = None
|
||||
return _rv
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return a string-encoded ``value``."""
|
||||
if value:
|
||||
value = utils.getDateTime(value)
|
||||
# LE byteorder
|
||||
_rv = struct.pack("<2I", value.toordinal() + self.JDN_GDN_DIFF,
|
||||
(value.hour * 3600 + value.minute * 60 + value.second) * 1000)
|
||||
else:
|
||||
_rv = "\0" * self.length
|
||||
assert len(_rv) == self.length
|
||||
return _rv
|
||||
|
||||
|
||||
_fieldsRegistry = {}
|
||||
|
||||
def registerField(fieldCls):
|
||||
"""Register field definition class.
|
||||
|
||||
``fieldCls`` should be subclass of the `DbfFieldDef`.
|
||||
|
||||
Use `lookupFor` to retrieve field definition class
|
||||
by the type code.
|
||||
|
||||
"""
|
||||
assert fieldCls.typeCode is not None, "Type code isn't defined"
|
||||
# XXX: use fieldCls.typeCode.upper()? in case of any decign
|
||||
# don't forget to look to the same comment in ``lookupFor`` method
|
||||
_fieldsRegistry[fieldCls.typeCode] = fieldCls
|
||||
|
||||
|
||||
def lookupFor(typeCode):
|
||||
"""Return field definition class for the given type code.
|
||||
|
||||
``typeCode`` must be a single character. That type should be
|
||||
previously registered.
|
||||
|
||||
Use `registerField` to register new field class.
|
||||
|
||||
Return:
|
||||
Return value is a subclass of the `DbfFieldDef`.
|
||||
|
||||
"""
|
||||
# XXX: use typeCode.upper()? in case of any decign don't
|
||||
# forget to look to the same comment in ``registerField``
|
||||
return _fieldsRegistry[typeCode]
|
||||
|
||||
## register generic types
|
||||
|
||||
for (_name, _val) in globals().items():
|
||||
if isinstance(_val, type) and issubclass(_val, DbfFieldDef) \
|
||||
and (_name != "DbfFieldDef"):
|
||||
__all__.append(_name)
|
||||
registerField(_val)
|
||||
del _name, _val
|
||||
|
||||
# vim: et sts=4 sw=4 :
|
||||
@@ -0,0 +1,275 @@
|
||||
"""DBF header definition.
|
||||
|
||||
TODO:
|
||||
- handle encoding of the character fields
|
||||
(encoding information stored in the DBF header)
|
||||
|
||||
"""
|
||||
"""History (most recent first):
|
||||
16-sep-2010 [als] fromStream: fix century of the last update field
|
||||
11-feb-2007 [als] added .ignoreErrors
|
||||
10-feb-2007 [als] added __getitem__: return field definitions
|
||||
by field name or field number (zero-based)
|
||||
04-jul-2006 [als] added export declaration
|
||||
15-dec-2005 [yc] created
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.6 $"[11:-2]
|
||||
__date__ = "$Date: 2010/09/16 05:06:39 $"[7:-2]
|
||||
|
||||
__all__ = ["DbfHeader"]
|
||||
|
||||
try:
|
||||
import cStringIO
|
||||
except ImportError:
|
||||
# when we're in python3, we cStringIO has been replaced by io.StringIO
|
||||
import io as cStringIO
|
||||
import datetime
|
||||
import struct
|
||||
import time
|
||||
|
||||
from . import fields
|
||||
from . import utils
|
||||
|
||||
|
||||
class DbfHeader(object):
|
||||
"""Dbf header definition.
|
||||
|
||||
For more information about dbf header format visit
|
||||
`http://www.clicketyclick.dk/databases/xbase/format/dbf.html#DBF_STRUCT`
|
||||
|
||||
Examples:
|
||||
Create an empty dbf header and add some field definitions:
|
||||
dbfh = DbfHeader()
|
||||
dbfh.addField(("name", "C", 10))
|
||||
dbfh.addField(("date", "D"))
|
||||
dbfh.addField(DbfNumericFieldDef("price", 5, 2))
|
||||
Create a dbf header with field definitions:
|
||||
dbfh = DbfHeader([
|
||||
("name", "C", 10),
|
||||
("date", "D"),
|
||||
DbfNumericFieldDef("price", 5, 2),
|
||||
])
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = ("signature", "fields", "lastUpdate", "recordLength",
|
||||
"recordCount", "headerLength", "changed", "_ignore_errors")
|
||||
|
||||
## instance construction and initialization methods
|
||||
|
||||
def __init__(self, fields=None, headerLength=0, recordLength=0,
|
||||
recordCount=0, signature=0x03, lastUpdate=None, ignoreErrors=False,
|
||||
):
|
||||
"""Initialize instance.
|
||||
|
||||
Arguments:
|
||||
fields:
|
||||
a list of field definitions;
|
||||
recordLength:
|
||||
size of the records;
|
||||
headerLength:
|
||||
size of the header;
|
||||
recordCount:
|
||||
number of records stored in DBF;
|
||||
signature:
|
||||
version number (aka signature). using 0x03 as a default meaning
|
||||
"File without DBT". for more information about this field visit
|
||||
``http://www.clicketyclick.dk/databases/xbase/format/dbf.html#DBF_NOTE_1_TARGET``
|
||||
lastUpdate:
|
||||
date of the DBF's update. this could be a string ('yymmdd' or
|
||||
'yyyymmdd'), timestamp (int or float), datetime/date value,
|
||||
a sequence (assuming (yyyy, mm, dd, ...)) or an object having
|
||||
callable ``ticks`` field.
|
||||
ignoreErrors:
|
||||
error processing mode for DBF fields (boolean)
|
||||
|
||||
"""
|
||||
self.signature = signature
|
||||
if fields is None:
|
||||
self.fields = []
|
||||
else:
|
||||
self.fields = list(fields)
|
||||
self.lastUpdate = utils.getDate(lastUpdate)
|
||||
self.recordLength = recordLength
|
||||
self.headerLength = headerLength
|
||||
self.recordCount = recordCount
|
||||
self.ignoreErrors = ignoreErrors
|
||||
# XXX: I'm not sure this is safe to
|
||||
# initialize `self.changed` in this way
|
||||
self.changed = bool(self.fields)
|
||||
|
||||
# @classmethod
|
||||
def fromString(cls, string):
|
||||
"""Return header instance from the string object."""
|
||||
return cls.fromStream(cStringIO.StringIO(str(string)))
|
||||
fromString = classmethod(fromString)
|
||||
|
||||
# @classmethod
|
||||
def fromStream(cls, stream):
|
||||
"""Return header object from the stream."""
|
||||
stream.seek(0)
|
||||
_data = stream.read(32)
|
||||
(_cnt, _hdrLen, _recLen) = struct.unpack("<I2H", _data[4:12])
|
||||
#reserved = _data[12:32]
|
||||
_year = ord(_data[1])
|
||||
if _year < 80:
|
||||
# dBase II started at 1980. It is quite unlikely
|
||||
# that actual last update date is before that year.
|
||||
_year += 2000
|
||||
else:
|
||||
_year += 1900
|
||||
## create header object
|
||||
_obj = cls(None, _hdrLen, _recLen, _cnt, ord(_data[0]),
|
||||
(_year, ord(_data[2]), ord(_data[3])))
|
||||
## append field definitions
|
||||
# position 0 is for the deletion flag
|
||||
_pos = 1
|
||||
_data = stream.read(1)
|
||||
|
||||
# The field definitions are ended either by \x0D OR a newline
|
||||
# character, so we need to handle both when reading from a stream.
|
||||
# When writing, dbfpy appears to write newlines instead of \x0D.
|
||||
while _data[0] not in ["\x0D", "\n"]:
|
||||
_data += stream.read(31)
|
||||
_fld = fields.lookupFor(_data[11]).fromString(_data, _pos)
|
||||
_obj._addField(_fld)
|
||||
_pos = _fld.end
|
||||
_data = stream.read(1)
|
||||
return _obj
|
||||
fromStream = classmethod(fromStream)
|
||||
|
||||
## properties
|
||||
|
||||
year = property(lambda self: self.lastUpdate.year)
|
||||
month = property(lambda self: self.lastUpdate.month)
|
||||
day = property(lambda self: self.lastUpdate.day)
|
||||
|
||||
def ignoreErrors(self, value):
|
||||
"""Update `ignoreErrors` flag on self and all fields"""
|
||||
self._ignore_errors = value = bool(value)
|
||||
for _field in self.fields:
|
||||
_field.ignoreErrors = value
|
||||
ignoreErrors = property(
|
||||
lambda self: self._ignore_errors,
|
||||
ignoreErrors,
|
||||
doc="""Error processing mode for DBF field value conversion
|
||||
|
||||
if set, failing field value conversion will return
|
||||
``INVALID_VALUE`` instead of raising conversion error.
|
||||
|
||||
""")
|
||||
|
||||
## object representation
|
||||
|
||||
def __repr__(self):
|
||||
_rv = """\
|
||||
Version (signature): 0x%02x
|
||||
Last update: %s
|
||||
Header length: %d
|
||||
Record length: %d
|
||||
Record count: %d
|
||||
FieldName Type Len Dec
|
||||
""" % (self.signature, self.lastUpdate, self.headerLength,
|
||||
self.recordLength, self.recordCount)
|
||||
_rv += "\n".join(
|
||||
["%10s %4s %3s %3s" % _fld.fieldInfo() for _fld in self.fields]
|
||||
)
|
||||
return _rv
|
||||
|
||||
## internal methods
|
||||
|
||||
def _addField(self, *defs):
|
||||
"""Internal variant of the `addField` method.
|
||||
|
||||
This method doesn't set `self.changed` field to True.
|
||||
|
||||
Return value is a length of the appended records.
|
||||
Note: this method doesn't modify ``recordLength`` and
|
||||
``headerLength`` fields. Use `addField` instead of this
|
||||
method if you don't exactly know what you're doing.
|
||||
|
||||
"""
|
||||
# insure we have dbf.DbfFieldDef instances first (instantiation
|
||||
# from the tuple could raise an error, in such a case I don't
|
||||
# wanna add any of the definitions -- all will be ignored)
|
||||
_defs = []
|
||||
_recordLength = 0
|
||||
for _def in defs:
|
||||
if isinstance(_def, fields.DbfFieldDef):
|
||||
_obj = _def
|
||||
else:
|
||||
(_name, _type, _len, _dec) = (tuple(_def) + (None,) * 4)[:4]
|
||||
_cls = fields.lookupFor(_type)
|
||||
_obj = _cls(_name, _len, _dec,
|
||||
ignoreErrors=self._ignore_errors)
|
||||
_recordLength += _obj.length
|
||||
_defs.append(_obj)
|
||||
# and now extend field definitions and
|
||||
# update record length
|
||||
self.fields += _defs
|
||||
return _recordLength
|
||||
|
||||
## interface methods
|
||||
|
||||
def addField(self, *defs):
|
||||
"""Add field definition to the header.
|
||||
|
||||
Examples:
|
||||
dbfh.addField(
|
||||
("name", "C", 20),
|
||||
dbf.DbfCharacterFieldDef("surname", 20),
|
||||
dbf.DbfDateFieldDef("birthdate"),
|
||||
("member", "L"),
|
||||
)
|
||||
dbfh.addField(("price", "N", 5, 2))
|
||||
dbfh.addField(dbf.DbfNumericFieldDef("origprice", 5, 2))
|
||||
|
||||
"""
|
||||
_oldLen = self.recordLength
|
||||
self.recordLength += self._addField(*defs)
|
||||
if not _oldLen:
|
||||
self.recordLength += 1
|
||||
# XXX: may be just use:
|
||||
# self.recordeLength += self._addField(*defs) + bool(not _oldLen)
|
||||
# recalculate headerLength
|
||||
self.headerLength = 32 + (32 * len(self.fields)) + 1
|
||||
self.changed = True
|
||||
|
||||
def write(self, stream):
|
||||
"""Encode and write header to the stream."""
|
||||
stream.seek(0)
|
||||
stream.write(self.toString())
|
||||
stream.write("".join([_fld.toString() for _fld in self.fields]))
|
||||
stream.write(chr(0x0D)) # cr at end of all hdr data
|
||||
self.changed = False
|
||||
|
||||
def toString(self):
|
||||
"""Returned 32 chars length string with encoded header."""
|
||||
return struct.pack("<4BI2H",
|
||||
self.signature,
|
||||
self.year - 1900,
|
||||
self.month,
|
||||
self.day,
|
||||
self.recordCount,
|
||||
self.headerLength,
|
||||
self.recordLength) + "\0" * 20
|
||||
|
||||
def setCurrentDate(self):
|
||||
"""Update ``self.lastUpdate`` field with current date value."""
|
||||
self.lastUpdate = datetime.date.today()
|
||||
|
||||
def __getitem__(self, item):
|
||||
"""Return a field definition by numeric index or name string"""
|
||||
if isinstance(item, basestring):
|
||||
_name = item.upper()
|
||||
for _field in self.fields:
|
||||
if _field.name == _name:
|
||||
return _field
|
||||
else:
|
||||
raise KeyError(item)
|
||||
else:
|
||||
# item must be field index
|
||||
return self.fields[item]
|
||||
|
||||
# vim: et sts=4 sw=4 :
|
||||
@@ -0,0 +1,262 @@
|
||||
"""DBF record definition.
|
||||
|
||||
"""
|
||||
"""History (most recent first):
|
||||
11-feb-2007 [als] __repr__: added special case for invalid field values
|
||||
10-feb-2007 [als] added .rawFromStream()
|
||||
30-oct-2006 [als] fix record length in .fromStream()
|
||||
04-jul-2006 [als] added export declaration
|
||||
20-dec-2005 [yc] DbfRecord.write() -> DbfRecord._write();
|
||||
added delete() method.
|
||||
16-dec-2005 [yc] record definition moved from `dbf`.
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.7 $"[11:-2]
|
||||
__date__ = "$Date: 2007/02/11 09:05:49 $"[7:-2]
|
||||
|
||||
__all__ = ["DbfRecord"]
|
||||
|
||||
from itertools import izip
|
||||
|
||||
import utils
|
||||
|
||||
class DbfRecord(object):
|
||||
"""DBF record.
|
||||
|
||||
Instances of this class shouldn't be created manualy,
|
||||
use `dbf.Dbf.newRecord` instead.
|
||||
|
||||
Class implements mapping/sequence interface, so
|
||||
fields could be accessed via their names or indexes
|
||||
(names is a preffered way to access fields).
|
||||
|
||||
Hint:
|
||||
Use `store` method to save modified record.
|
||||
|
||||
Examples:
|
||||
Add new record to the database:
|
||||
db = Dbf(filename)
|
||||
rec = db.newRecord()
|
||||
rec["FIELD1"] = value1
|
||||
rec["FIELD2"] = value2
|
||||
rec.store()
|
||||
Or the same, but modify existed
|
||||
(second in this case) record:
|
||||
db = Dbf(filename)
|
||||
rec = db[2]
|
||||
rec["FIELD1"] = value1
|
||||
rec["FIELD2"] = value2
|
||||
rec.store()
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = "dbf", "index", "deleted", "fieldData"
|
||||
|
||||
## creation and initialization
|
||||
|
||||
def __init__(self, dbf, index=None, deleted=False, data=None):
|
||||
"""Instance initialiation.
|
||||
|
||||
Arguments:
|
||||
dbf:
|
||||
A `Dbf.Dbf` instance this record belonogs to.
|
||||
index:
|
||||
An integer record index or None. If this value is
|
||||
None, record will be appended to the DBF.
|
||||
deleted:
|
||||
Boolean flag indicating whether this record
|
||||
is a deleted record.
|
||||
data:
|
||||
A sequence or None. This is a data of the fields.
|
||||
If this argument is None, default values will be used.
|
||||
|
||||
"""
|
||||
self.dbf = dbf
|
||||
# XXX: I'm not sure ``index`` is necessary
|
||||
self.index = index
|
||||
self.deleted = deleted
|
||||
if data is None:
|
||||
self.fieldData = [_fd.defaultValue for _fd in dbf.header.fields]
|
||||
else:
|
||||
self.fieldData = list(data)
|
||||
|
||||
# XXX: validate self.index before calculating position?
|
||||
position = property(lambda self: self.dbf.header.headerLength + \
|
||||
self.index * self.dbf.header.recordLength)
|
||||
|
||||
def rawFromStream(cls, dbf, index):
|
||||
"""Return raw record contents read from the stream.
|
||||
|
||||
Arguments:
|
||||
dbf:
|
||||
A `Dbf.Dbf` instance containing the record.
|
||||
index:
|
||||
Index of the record in the records' container.
|
||||
This argument can't be None in this call.
|
||||
|
||||
Return value is a string containing record data in DBF format.
|
||||
|
||||
"""
|
||||
# XXX: may be write smth assuming, that current stream
|
||||
# position is the required one? it could save some
|
||||
# time required to calculate where to seek in the file
|
||||
dbf.stream.seek(dbf.header.headerLength +
|
||||
index * dbf.header.recordLength)
|
||||
return dbf.stream.read(dbf.header.recordLength)
|
||||
rawFromStream = classmethod(rawFromStream)
|
||||
|
||||
def fromStream(cls, dbf, index):
|
||||
"""Return a record read from the stream.
|
||||
|
||||
Arguments:
|
||||
dbf:
|
||||
A `Dbf.Dbf` instance new record should belong to.
|
||||
index:
|
||||
Index of the record in the records' container.
|
||||
This argument can't be None in this call.
|
||||
|
||||
Return value is an instance of the current class.
|
||||
|
||||
"""
|
||||
return cls.fromString(dbf, cls.rawFromStream(dbf, index), index)
|
||||
fromStream = classmethod(fromStream)
|
||||
|
||||
def fromString(cls, dbf, string, index=None):
|
||||
"""Return record read from the string object.
|
||||
|
||||
Arguments:
|
||||
dbf:
|
||||
A `Dbf.Dbf` instance new record should belong to.
|
||||
string:
|
||||
A string new record should be created from.
|
||||
index:
|
||||
Index of the record in the container. If this
|
||||
argument is None, record will be appended.
|
||||
|
||||
Return value is an instance of the current class.
|
||||
|
||||
"""
|
||||
return cls(dbf, index, string[0]=="*",
|
||||
[_fd.decodeFromRecord(string) for _fd in dbf.header.fields])
|
||||
fromString = classmethod(fromString)
|
||||
|
||||
## object representation
|
||||
|
||||
def __repr__(self):
|
||||
_template = "%%%ds: %%s (%%s)" % max([len(_fld)
|
||||
for _fld in self.dbf.fieldNames])
|
||||
_rv = []
|
||||
for _fld in self.dbf.fieldNames:
|
||||
_val = self[_fld]
|
||||
if _val is utils.INVALID_VALUE:
|
||||
_rv.append(_template %
|
||||
(_fld, "None", "value cannot be decoded"))
|
||||
else:
|
||||
_rv.append(_template % (_fld, _val, type(_val)))
|
||||
return "\n".join(_rv)
|
||||
|
||||
## protected methods
|
||||
|
||||
def _write(self):
|
||||
"""Write data to the dbf stream.
|
||||
|
||||
Note:
|
||||
This isn't a public method, it's better to
|
||||
use 'store' instead publically.
|
||||
Be design ``_write`` method should be called
|
||||
only from the `Dbf` instance.
|
||||
|
||||
|
||||
"""
|
||||
self._validateIndex(False)
|
||||
self.dbf.stream.seek(self.position)
|
||||
self.dbf.stream.write(self.toString())
|
||||
# FIXME: may be move this write somewhere else?
|
||||
# why we should check this condition for each record?
|
||||
if self.index == len(self.dbf):
|
||||
# this is the last record,
|
||||
# we should write SUB (ASCII 26)
|
||||
self.dbf.stream.write("\x1A")
|
||||
|
||||
## utility methods
|
||||
|
||||
def _validateIndex(self, allowUndefined=True, checkRange=False):
|
||||
"""Valid ``self.index`` value.
|
||||
|
||||
If ``allowUndefined`` argument is True functions does nothing
|
||||
in case of ``self.index`` pointing to None object.
|
||||
|
||||
"""
|
||||
if self.index is None:
|
||||
if not allowUndefined:
|
||||
raise ValueError("Index is undefined")
|
||||
elif self.index < 0:
|
||||
raise ValueError("Index can't be negative (%s)" % self.index)
|
||||
elif checkRange and self.index <= self.dbf.header.recordCount:
|
||||
raise ValueError("There are only %d records in the DBF" %
|
||||
self.dbf.header.recordCount)
|
||||
|
||||
## interface methods
|
||||
|
||||
def store(self):
|
||||
"""Store current record in the DBF.
|
||||
|
||||
If ``self.index`` is None, this record will be appended to the
|
||||
records of the DBF this records belongs to; or replaced otherwise.
|
||||
|
||||
"""
|
||||
self._validateIndex()
|
||||
if self.index is None:
|
||||
self.index = len(self.dbf)
|
||||
self.dbf.append(self)
|
||||
else:
|
||||
self.dbf[self.index] = self
|
||||
|
||||
def delete(self):
|
||||
"""Mark method as deleted."""
|
||||
self.deleted = True
|
||||
|
||||
def toString(self):
|
||||
"""Return string packed record values."""
|
||||
return "".join([" *"[self.deleted]] + [
|
||||
_def.encodeValue(_dat)
|
||||
for (_def, _dat) in izip(self.dbf.header.fields, self.fieldData)
|
||||
])
|
||||
|
||||
def asList(self):
|
||||
"""Return a flat list of fields.
|
||||
|
||||
Note:
|
||||
Change of the list's values won't change
|
||||
real values stored in this object.
|
||||
|
||||
"""
|
||||
return self.fieldData[:]
|
||||
|
||||
def asDict(self):
|
||||
"""Return a dictionary of fields.
|
||||
|
||||
Note:
|
||||
Change of the dicts's values won't change
|
||||
real values stored in this object.
|
||||
|
||||
"""
|
||||
return dict([_i for _i in izip(self.dbf.fieldNames, self.fieldData)])
|
||||
|
||||
def __getitem__(self, key):
|
||||
"""Return value by field name or field index."""
|
||||
if isinstance(key, (long, int)):
|
||||
# integer index of the field
|
||||
return self.fieldData[key]
|
||||
# assuming string field name
|
||||
return self.fieldData[self.dbf.indexOfFieldName(key)]
|
||||
|
||||
def __setitem__(self, key, value):
|
||||
"""Set field value by integer index of the field or string name."""
|
||||
if isinstance(key, (int, long)):
|
||||
# integer index of the field
|
||||
return self.fieldData[key]
|
||||
# assuming string field name
|
||||
self.fieldData[self.dbf.indexOfFieldName(key)] = value
|
||||
|
||||
# vim: et sts=4 sw=4 :
|
||||
@@ -0,0 +1,170 @@
|
||||
"""String utilities.
|
||||
|
||||
TODO:
|
||||
- allow strings in getDateTime routine;
|
||||
"""
|
||||
"""History (most recent first):
|
||||
11-feb-2007 [als] added INVALID_VALUE
|
||||
10-feb-2007 [als] allow date strings padded with spaces instead of zeroes
|
||||
20-dec-2005 [yc] handle long objects in getDate/getDateTime
|
||||
16-dec-2005 [yc] created from ``strutil`` module.
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.4 $"[11:-2]
|
||||
__date__ = "$Date: 2007/02/11 08:57:17 $"[7:-2]
|
||||
|
||||
import datetime
|
||||
import time
|
||||
|
||||
|
||||
def unzfill(str):
|
||||
"""Return a string without ASCII NULs.
|
||||
|
||||
This function searchers for the first NUL (ASCII 0) occurance
|
||||
and truncates string till that position.
|
||||
|
||||
"""
|
||||
try:
|
||||
return str[:str.index('\0')]
|
||||
except ValueError:
|
||||
return str
|
||||
|
||||
|
||||
def getDate(date=None):
|
||||
"""Return `datetime.date` instance.
|
||||
|
||||
Type of the ``date`` argument could be one of the following:
|
||||
None:
|
||||
use current date value;
|
||||
datetime.date:
|
||||
this value will be returned;
|
||||
datetime.datetime:
|
||||
the result of the date.date() will be returned;
|
||||
string:
|
||||
assuming "%Y%m%d" or "%y%m%dd" format;
|
||||
number:
|
||||
assuming it's a timestamp (returned for example
|
||||
by the time.time() call;
|
||||
sequence:
|
||||
assuming (year, month, day, ...) sequence;
|
||||
|
||||
Additionaly, if ``date`` has callable ``ticks`` attribute,
|
||||
it will be used and result of the called would be treated
|
||||
as a timestamp value.
|
||||
|
||||
"""
|
||||
if date is None:
|
||||
# use current value
|
||||
return datetime.date.today()
|
||||
if isinstance(date, datetime.date):
|
||||
return date
|
||||
if isinstance(date, datetime.datetime):
|
||||
return date.date()
|
||||
if isinstance(date, (int, long, float)):
|
||||
# date is a timestamp
|
||||
return datetime.date.fromtimestamp(date)
|
||||
if isinstance(date, basestring):
|
||||
date = date.replace(" ", "0")
|
||||
if len(date) == 6:
|
||||
# yymmdd
|
||||
return datetime.date(*time.strptime(date, "%y%m%d")[:3])
|
||||
# yyyymmdd
|
||||
return datetime.date(*time.strptime(date, "%Y%m%d")[:3])
|
||||
if hasattr(date, "__getitem__"):
|
||||
# a sequence (assuming date/time tuple)
|
||||
return datetime.date(*date[:3])
|
||||
return datetime.date.fromtimestamp(date.ticks())
|
||||
|
||||
|
||||
def getDateTime(value=None):
|
||||
"""Return `datetime.datetime` instance.
|
||||
|
||||
Type of the ``value`` argument could be one of the following:
|
||||
None:
|
||||
use current date value;
|
||||
datetime.date:
|
||||
result will be converted to the `datetime.datetime` instance
|
||||
using midnight;
|
||||
datetime.datetime:
|
||||
``value`` will be returned as is;
|
||||
string:
|
||||
*** CURRENTLY NOT SUPPORTED ***;
|
||||
number:
|
||||
assuming it's a timestamp (returned for example
|
||||
by the time.time() call;
|
||||
sequence:
|
||||
assuming (year, month, day, ...) sequence;
|
||||
|
||||
Additionaly, if ``value`` has callable ``ticks`` attribute,
|
||||
it will be used and result of the called would be treated
|
||||
as a timestamp value.
|
||||
|
||||
"""
|
||||
if value is None:
|
||||
# use current value
|
||||
return datetime.datetime.today()
|
||||
if isinstance(value, datetime.datetime):
|
||||
return value
|
||||
if isinstance(value, datetime.date):
|
||||
return datetime.datetime.fromordinal(value.toordinal())
|
||||
if isinstance(value, (int, long, float)):
|
||||
# value is a timestamp
|
||||
return datetime.datetime.fromtimestamp(value)
|
||||
if isinstance(value, basestring):
|
||||
raise NotImplementedError("Strings aren't currently implemented")
|
||||
if hasattr(value, "__getitem__"):
|
||||
# a sequence (assuming date/time tuple)
|
||||
return datetime.datetime(*tuple(value)[:6])
|
||||
return datetime.datetime.fromtimestamp(value.ticks())
|
||||
|
||||
|
||||
class classproperty(property):
|
||||
"""Works in the same way as a ``property``, but for the classes."""
|
||||
|
||||
def __get__(self, obj, cls):
|
||||
return self.fget(cls)
|
||||
|
||||
|
||||
class _InvalidValue(object):
|
||||
|
||||
"""Value returned from DBF records when field validation fails
|
||||
|
||||
The value is not equal to anything except for itself
|
||||
and equal to all empty values: None, 0, empty string etc.
|
||||
In other words, invalid value is equal to None and not equal
|
||||
to None at the same time.
|
||||
|
||||
This value yields zero upon explicit conversion to a number type,
|
||||
empty string for string types, and False for boolean.
|
||||
|
||||
"""
|
||||
|
||||
def __eq__(self, other):
|
||||
return not other
|
||||
|
||||
def __ne__(self, other):
|
||||
return not (other is self)
|
||||
|
||||
def __nonzero__(self):
|
||||
return False
|
||||
|
||||
def __int__(self):
|
||||
return 0
|
||||
__long__ = __int__
|
||||
|
||||
def __float__(self):
|
||||
return 0.0
|
||||
|
||||
def __str__(self):
|
||||
return ""
|
||||
|
||||
def __unicode__(self):
|
||||
return u""
|
||||
|
||||
def __repr__(self):
|
||||
return "<INVALID>"
|
||||
|
||||
# invalid value is a constant singleton
|
||||
INVALID_VALUE = _InvalidValue()
|
||||
|
||||
# vim: set et sts=4 sw=4 :
|
||||
@@ -0,0 +1,298 @@
|
||||
#! /usr/bin/env python
|
||||
"""DBF accessing helpers.
|
||||
|
||||
FIXME: more documentation needed
|
||||
|
||||
Examples:
|
||||
|
||||
Create new table, setup structure, add records:
|
||||
|
||||
dbf = Dbf(filename, new=True)
|
||||
dbf.addField(
|
||||
("NAME", "C", 15),
|
||||
("SURNAME", "C", 25),
|
||||
("INITIALS", "C", 10),
|
||||
("BIRTHDATE", "D"),
|
||||
)
|
||||
for (n, s, i, b) in (
|
||||
("John", "Miller", "YC", (1980, 10, 11)),
|
||||
("Andy", "Larkin", "", (1980, 4, 11)),
|
||||
):
|
||||
rec = dbf.newRecord()
|
||||
rec["NAME"] = n
|
||||
rec["SURNAME"] = s
|
||||
rec["INITIALS"] = i
|
||||
rec["BIRTHDATE"] = b
|
||||
rec.store()
|
||||
dbf.close()
|
||||
|
||||
Open existed dbf, read some data:
|
||||
|
||||
dbf = Dbf(filename, True)
|
||||
for rec in dbf:
|
||||
for fldName in dbf.fieldNames:
|
||||
print '%s:\t %s (%s)' % (fldName, rec[fldName],
|
||||
type(rec[fldName]))
|
||||
print
|
||||
dbf.close()
|
||||
|
||||
"""
|
||||
"""History (most recent first):
|
||||
11-feb-2007 [als] export INVALID_VALUE;
|
||||
Dbf: added .ignoreErrors, .INVALID_VALUE
|
||||
04-jul-2006 [als] added export declaration
|
||||
20-dec-2005 [yc] removed fromStream and newDbf methods:
|
||||
use argument of __init__ call must be used instead;
|
||||
added class fields pointing to the header and
|
||||
record classes.
|
||||
17-dec-2005 [yc] split to several modules; reimplemented
|
||||
13-dec-2005 [yc] adapted to the changes of the `strutil` module.
|
||||
13-sep-2002 [als] support FoxPro Timestamp datatype
|
||||
15-nov-1999 [jjk] documentation updates, add demo
|
||||
24-aug-1998 [jjk] add some encodeValue methods (not tested), other tweaks
|
||||
08-jun-1998 [jjk] fix problems, add more features
|
||||
20-feb-1998 [jjk] fix problems, add more features
|
||||
19-feb-1998 [jjk] add create/write capabilities
|
||||
18-feb-1998 [jjk] from dbfload.py
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.7 $"[11:-2]
|
||||
__date__ = "$Date: 2007/02/11 09:23:13 $"[7:-2]
|
||||
__author__ = "Jeff Kunce <kuncej@mail.conservation.state.mo.us>"
|
||||
|
||||
__all__ = ["Dbf"]
|
||||
|
||||
from . import header
|
||||
from . import record
|
||||
from .utils import INVALID_VALUE
|
||||
|
||||
|
||||
class Dbf(object):
|
||||
"""DBF accessor.
|
||||
|
||||
FIXME:
|
||||
docs and examples needed (dont' forget to tell
|
||||
about problems adding new fields on the fly)
|
||||
|
||||
Implementation notes:
|
||||
``_new`` field is used to indicate whether this is
|
||||
a new data table. `addField` could be used only for
|
||||
the new tables! If at least one record was appended
|
||||
to the table it's structure couldn't be changed.
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = ("name", "header", "stream",
|
||||
"_changed", "_new", "_ignore_errors")
|
||||
|
||||
HeaderClass = header.DbfHeader
|
||||
RecordClass = record.DbfRecord
|
||||
INVALID_VALUE = INVALID_VALUE
|
||||
|
||||
# initialization and creation helpers
|
||||
|
||||
def __init__(self, f, readOnly=False, new=False, ignoreErrors=False):
|
||||
"""Initialize instance.
|
||||
|
||||
Arguments:
|
||||
f:
|
||||
Filename or file-like object.
|
||||
new:
|
||||
True if new data table must be created. Assume
|
||||
data table exists if this argument is False.
|
||||
readOnly:
|
||||
if ``f`` argument is a string file will
|
||||
be opend in read-only mode; in other cases
|
||||
this argument is ignored. This argument is ignored
|
||||
even if ``new`` argument is True.
|
||||
headerObj:
|
||||
`header.DbfHeader` instance or None. If this argument
|
||||
is None, new empty header will be used with the
|
||||
all fields set by default.
|
||||
ignoreErrors:
|
||||
if set, failing field value conversion will return
|
||||
``INVALID_VALUE`` instead of raising conversion error.
|
||||
|
||||
"""
|
||||
if isinstance(f, str):
|
||||
# a filename
|
||||
self.name = f
|
||||
if new:
|
||||
# new table (table file must be
|
||||
# created or opened and truncated)
|
||||
self.stream = open(f, "w+b")
|
||||
else:
|
||||
# tabe file must exist
|
||||
self.stream = open(f, ("r+b", "rb")[bool(readOnly)])
|
||||
else:
|
||||
# a stream
|
||||
self.name = getattr(f, "name", "")
|
||||
self.stream = f
|
||||
if new:
|
||||
# if this is a new table, header will be empty
|
||||
self.header = self.HeaderClass()
|
||||
else:
|
||||
# or instantiated using stream
|
||||
self.header = self.HeaderClass.fromStream(self.stream)
|
||||
self.ignoreErrors = ignoreErrors
|
||||
self._new = bool(new)
|
||||
self._changed = False
|
||||
|
||||
# properties
|
||||
|
||||
closed = property(lambda self: self.stream.closed)
|
||||
recordCount = property(lambda self: self.header.recordCount)
|
||||
fieldNames = property(
|
||||
lambda self: [_fld.name for _fld in self.header.fields])
|
||||
fieldDefs = property(lambda self: self.header.fields)
|
||||
changed = property(lambda self: self._changed or self.header.changed)
|
||||
|
||||
def ignoreErrors(self, value):
|
||||
"""Update `ignoreErrors` flag on the header object and self"""
|
||||
self.header.ignoreErrors = self._ignore_errors = bool(value)
|
||||
|
||||
ignoreErrors = property(
|
||||
lambda self: self._ignore_errors,
|
||||
ignoreErrors,
|
||||
doc="""Error processing mode for DBF field value conversion
|
||||
|
||||
if set, failing field value conversion will return
|
||||
``INVALID_VALUE`` instead of raising conversion error.
|
||||
|
||||
""")
|
||||
|
||||
# protected methods
|
||||
|
||||
def _fixIndex(self, index):
|
||||
"""Return fixed index.
|
||||
|
||||
This method fails if index isn't a numeric object
|
||||
(long or int). Or index isn't in a valid range
|
||||
(less or equal to the number of records in the db).
|
||||
|
||||
If ``index`` is a negative number, it will be
|
||||
treated as a negative indexes for list objects.
|
||||
|
||||
Return:
|
||||
Return value is numeric object maning valid index.
|
||||
|
||||
"""
|
||||
if not isinstance(index, int):
|
||||
raise TypeError("Index must be a numeric object")
|
||||
if index < 0:
|
||||
# index from the right side
|
||||
# fix it to the left-side index
|
||||
index += len(self) + 1
|
||||
if index >= len(self):
|
||||
raise IndexError("Record index out of range")
|
||||
return index
|
||||
|
||||
# iterface methods
|
||||
|
||||
def close(self):
|
||||
self.flush()
|
||||
self.stream.close()
|
||||
|
||||
def flush(self):
|
||||
"""Flush data to the associated stream."""
|
||||
if self.changed:
|
||||
self.header.setCurrentDate()
|
||||
self.header.write(self.stream)
|
||||
self.stream.flush()
|
||||
self._changed = False
|
||||
|
||||
def indexOfFieldName(self, name):
|
||||
"""Index of field named ``name``."""
|
||||
# FIXME: move this to header class
|
||||
names = [f.name for f in self.header.fields]
|
||||
return names.index(name.upper())
|
||||
|
||||
def newRecord(self):
|
||||
"""Return new record, which belong to this table."""
|
||||
return self.RecordClass(self)
|
||||
|
||||
def append(self, record):
|
||||
"""Append ``record`` to the database."""
|
||||
record.index = self.header.recordCount
|
||||
record._write()
|
||||
self.header.recordCount += 1
|
||||
self._changed = True
|
||||
self._new = False
|
||||
|
||||
def addField(self, *defs):
|
||||
"""Add field definitions.
|
||||
|
||||
For more information see `header.DbfHeader.addField`.
|
||||
|
||||
"""
|
||||
if self._new:
|
||||
self.header.addField(*defs)
|
||||
else:
|
||||
raise TypeError("At least one record was added, "
|
||||
"structure can't be changed")
|
||||
|
||||
# 'magic' methods (representation and sequence interface)
|
||||
|
||||
def __repr__(self):
|
||||
return "Dbf stream '%s'\n" % self.stream + repr(self.header)
|
||||
|
||||
def __len__(self):
|
||||
"""Return number of records."""
|
||||
return self.recordCount
|
||||
|
||||
def __getitem__(self, index):
|
||||
"""Return `DbfRecord` instance."""
|
||||
return self.RecordClass.fromStream(self, self._fixIndex(index))
|
||||
|
||||
def __setitem__(self, index, record):
|
||||
"""Write `DbfRecord` instance to the stream."""
|
||||
record.index = self._fixIndex(index)
|
||||
record._write()
|
||||
self._changed = True
|
||||
self._new = False
|
||||
|
||||
# def __del__(self):
|
||||
# """Flush stream upon deletion of the object."""
|
||||
# self.flush()
|
||||
|
||||
|
||||
def demo_read(filename):
|
||||
_dbf = Dbf(filename, True)
|
||||
for _rec in _dbf:
|
||||
print()
|
||||
print(repr(_rec))
|
||||
_dbf.close()
|
||||
|
||||
|
||||
def demo_create(filename):
|
||||
_dbf = Dbf(filename, new=True)
|
||||
_dbf.addField(
|
||||
("NAME", "C", 15),
|
||||
("SURNAME", "C", 25),
|
||||
("INITIALS", "C", 10),
|
||||
("BIRTHDATE", "D"),
|
||||
)
|
||||
for (_n, _s, _i, _b) in (
|
||||
("John", "Miller", "YC", (1981, 1, 2)),
|
||||
("Andy", "Larkin", "AL", (1982, 3, 4)),
|
||||
("Bill", "Clinth", "", (1983, 5, 6)),
|
||||
("Bobb", "McNail", "", (1984, 7, 8)),
|
||||
):
|
||||
_rec = _dbf.newRecord()
|
||||
_rec["NAME"] = _n
|
||||
_rec["SURNAME"] = _s
|
||||
_rec["INITIALS"] = _i
|
||||
_rec["BIRTHDATE"] = _b
|
||||
_rec.store()
|
||||
print(repr(_dbf))
|
||||
_dbf.close()
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
import sys
|
||||
|
||||
_name = len(sys.argv) > 1 and sys.argv[1] or "county.dbf"
|
||||
demo_create(_name)
|
||||
demo_read(_name)
|
||||
|
||||
# vim: set et sw=4 sts=4 :
|
||||
@@ -0,0 +1,183 @@
|
||||
#!/usr/bin/python
|
||||
""".DBF creation helpers.
|
||||
|
||||
Note: this is a legacy interface. New code should use Dbf class
|
||||
for table creation (see examples in dbf.py)
|
||||
|
||||
TODO:
|
||||
- handle Memo fields.
|
||||
- check length of the fields accoring to the
|
||||
`http://www.clicketyclick.dk/databases/xbase/format/data_types.html`
|
||||
|
||||
"""
|
||||
"""History (most recent first)
|
||||
04-jul-2006 [als] added export declaration;
|
||||
updated for dbfpy 2.0
|
||||
15-dec-2005 [yc] define dbf_new.__slots__
|
||||
14-dec-2005 [yc] added vim modeline; retab'd; added doc-strings;
|
||||
dbf_new now is a new class (inherited from object)
|
||||
??-jun-2000 [--] added by Hans Fiby
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.4 $"[11:-2]
|
||||
__date__ = "$Date: 2006/07/04 08:18:18 $"[7:-2]
|
||||
|
||||
__all__ = ["dbf_new"]
|
||||
|
||||
from .dbf import *
|
||||
from .fields import *
|
||||
from .header import *
|
||||
from .record import *
|
||||
|
||||
|
||||
class _FieldDefinition(object):
|
||||
"""Field definition.
|
||||
|
||||
This is a simple structure, which contains ``name``, ``type``,
|
||||
``len``, ``dec`` and ``cls`` fields.
|
||||
|
||||
Objects also implement get/setitem magic functions, so fields
|
||||
could be accessed via sequence iterface, where 'name' has
|
||||
index 0, 'type' index 1, 'len' index 2, 'dec' index 3 and
|
||||
'cls' could be located at index 4.
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = "name", "type", "len", "dec", "cls"
|
||||
|
||||
# WARNING: be attentive - dictionaries are mutable!
|
||||
FLD_TYPES = {
|
||||
# type: (cls, len)
|
||||
"C": (DbfCharacterFieldDef, None),
|
||||
"N": (DbfNumericFieldDef, None),
|
||||
"L": (DbfLogicalFieldDef, 1),
|
||||
# FIXME: support memos
|
||||
# "M": (DbfMemoFieldDef),
|
||||
"D": (DbfDateFieldDef, 8),
|
||||
# FIXME: I'm not sure length should be 14 characters!
|
||||
# but temporary I use it, cuz date is 8 characters
|
||||
# and time 6 (hhmmss)
|
||||
"T": (DbfDateTimeFieldDef, 14),
|
||||
}
|
||||
|
||||
def __init__(self, name, type, len=None, dec=0):
|
||||
_cls, _len = self.FLD_TYPES[type]
|
||||
if _len is None:
|
||||
if len is None:
|
||||
raise ValueError("Field length must be defined")
|
||||
_len = len
|
||||
self.name = name
|
||||
self.type = type
|
||||
self.len = _len
|
||||
self.dec = dec
|
||||
self.cls = _cls
|
||||
|
||||
def getDbfField(self):
|
||||
"Return `DbfFieldDef` instance from the current definition."
|
||||
return self.cls(self.name, self.len, self.dec)
|
||||
|
||||
def appendToHeader(self, dbfh):
|
||||
"""Create a `DbfFieldDef` instance and append it to the dbf header.
|
||||
|
||||
Arguments:
|
||||
dbfh: `DbfHeader` instance.
|
||||
|
||||
"""
|
||||
_dbff = self.getDbfField()
|
||||
dbfh.addField(_dbff)
|
||||
|
||||
|
||||
class dbf_new(object):
|
||||
"""New .DBF creation helper.
|
||||
|
||||
Example Usage:
|
||||
|
||||
dbfn = dbf_new()
|
||||
dbfn.add_field("name",'C',80)
|
||||
dbfn.add_field("price",'N',10,2)
|
||||
dbfn.add_field("date",'D',8)
|
||||
dbfn.write("tst.dbf")
|
||||
|
||||
Note:
|
||||
This module cannot handle Memo-fields,
|
||||
they are special.
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = ("fields",)
|
||||
|
||||
FieldDefinitionClass = _FieldDefinition
|
||||
|
||||
def __init__(self):
|
||||
self.fields = []
|
||||
|
||||
def add_field(self, name, typ, len, dec=0):
|
||||
"""Add field definition.
|
||||
|
||||
Arguments:
|
||||
name:
|
||||
field name (str object). field name must not
|
||||
contain ASCII NULs and it's length shouldn't
|
||||
exceed 10 characters.
|
||||
typ:
|
||||
type of the field. this must be a single character
|
||||
from the "CNLMDT" set meaning character, numeric,
|
||||
logical, memo, date and date/time respectively.
|
||||
len:
|
||||
length of the field. this argument is used only for
|
||||
the character and numeric fields. all other fields
|
||||
have fixed length.
|
||||
FIXME: use None as a default for this argument?
|
||||
dec:
|
||||
decimal precision. used only for the numric fields.
|
||||
|
||||
"""
|
||||
self.fields.append(self.FieldDefinitionClass(name, typ, len, dec))
|
||||
|
||||
def write(self, filename):
|
||||
"""Create empty .DBF file using current structure."""
|
||||
_dbfh = DbfHeader()
|
||||
_dbfh.setCurrentDate()
|
||||
for _fldDef in self.fields:
|
||||
_fldDef.appendToHeader(_dbfh)
|
||||
|
||||
_dbfStream = open(filename, "wb")
|
||||
_dbfh.write(_dbfStream)
|
||||
_dbfStream.close()
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# create a new DBF-File
|
||||
dbfn = dbf_new()
|
||||
dbfn.add_field("name", 'C', 80)
|
||||
dbfn.add_field("price", 'N', 10, 2)
|
||||
dbfn.add_field("date", 'D', 8)
|
||||
dbfn.write("tst.dbf")
|
||||
# test new dbf
|
||||
print("*** created tst.dbf: ***")
|
||||
dbft = Dbf('tst.dbf', readOnly=0)
|
||||
print(repr(dbft))
|
||||
# add a record
|
||||
rec = DbfRecord(dbft)
|
||||
rec['name'] = 'something'
|
||||
rec['price'] = 10.5
|
||||
rec['date'] = (2000, 1, 12)
|
||||
rec.store()
|
||||
# add another record
|
||||
rec = DbfRecord(dbft)
|
||||
rec['name'] = 'foo and bar'
|
||||
rec['price'] = 12234
|
||||
rec['date'] = (1992, 7, 15)
|
||||
rec.store()
|
||||
|
||||
# show the records
|
||||
print("*** inserted 2 records into tst.dbf: ***")
|
||||
print(repr(dbft))
|
||||
for i1 in range(len(dbft)):
|
||||
rec = dbft[i1]
|
||||
for fldName in dbft.fieldNames:
|
||||
print('%s:\t %s' % (fldName, rec[fldName]))
|
||||
print()
|
||||
dbft.close()
|
||||
|
||||
# vim: set et sts=4 sw=4 :
|
||||
@@ -0,0 +1,467 @@
|
||||
"""DBF fields definitions.
|
||||
|
||||
TODO:
|
||||
- make memos work
|
||||
"""
|
||||
"""History (most recent first):
|
||||
26-may-2009 [als] DbfNumericFieldDef.decodeValue: strip zero bytes
|
||||
05-feb-2009 [als] DbfDateFieldDef.encodeValue: empty arg produces empty date
|
||||
16-sep-2008 [als] DbfNumericFieldDef decoding looks for decimal point
|
||||
in the value to select float or integer return type
|
||||
13-mar-2008 [als] check field name length in constructor
|
||||
11-feb-2007 [als] handle value conversion errors
|
||||
10-feb-2007 [als] DbfFieldDef: added .rawFromRecord()
|
||||
01-dec-2006 [als] Timestamp columns use None for empty values
|
||||
31-oct-2006 [als] support field types 'F' (float), 'I' (integer)
|
||||
and 'Y' (currency);
|
||||
automate export and registration of field classes
|
||||
04-jul-2006 [als] added export declaration
|
||||
10-mar-2006 [als] decode empty values for Date and Logical fields;
|
||||
show field name in errors
|
||||
10-mar-2006 [als] fix Numeric value decoding: according to spec,
|
||||
value always is string representation of the number;
|
||||
ensure that encoded Numeric value fits into the field
|
||||
20-dec-2005 [yc] use field names in upper case
|
||||
15-dec-2005 [yc] field definitions moved from `dbf`.
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.14 $"[11:-2]
|
||||
__date__ = "$Date: 2009/05/26 05:16:51 $"[7:-2]
|
||||
|
||||
__all__ = ["lookupFor",] # field classes added at the end of the module
|
||||
|
||||
import datetime
|
||||
import struct
|
||||
import sys
|
||||
|
||||
from . import utils
|
||||
|
||||
## abstract definitions
|
||||
|
||||
class DbfFieldDef(object):
|
||||
"""Abstract field definition.
|
||||
|
||||
Child classes must override ``type`` class attribute to provide datatype
|
||||
infromation of the field definition. For more info about types visit
|
||||
`http://www.clicketyclick.dk/databases/xbase/format/data_types.html`
|
||||
|
||||
Also child classes must override ``defaultValue`` field to provide
|
||||
default value for the field value.
|
||||
|
||||
If child class has fixed length ``length`` class attribute must be
|
||||
overriden and set to the valid value. None value means, that field
|
||||
isn't of fixed length.
|
||||
|
||||
Note: ``name`` field must not be changed after instantiation.
|
||||
|
||||
"""
|
||||
|
||||
|
||||
__slots__ = ("name", "decimalCount",
|
||||
"start", "end", "ignoreErrors")
|
||||
|
||||
# length of the field, None in case of variable-length field,
|
||||
# or a number if this field is a fixed-length field
|
||||
length = None
|
||||
|
||||
# field type. for more information about fields types visit
|
||||
# `http://www.clicketyclick.dk/databases/xbase/format/data_types.html`
|
||||
# must be overriden in child classes
|
||||
typeCode = None
|
||||
|
||||
# default value for the field. this field must be
|
||||
# overriden in child classes
|
||||
defaultValue = None
|
||||
|
||||
def __init__(self, name, length=None, decimalCount=None,
|
||||
start=None, stop=None, ignoreErrors=False,
|
||||
):
|
||||
"""Initialize instance."""
|
||||
assert self.typeCode is not None, "Type code must be overriden"
|
||||
assert self.defaultValue is not None, "Default value must be overriden"
|
||||
## fix arguments
|
||||
if len(name) >10:
|
||||
raise ValueError("Field name \"%s\" is too long" % name)
|
||||
name = str(name).upper()
|
||||
if self.__class__.length is None:
|
||||
if length is None:
|
||||
raise ValueError("[%s] Length isn't specified" % name)
|
||||
length = int(length)
|
||||
if length <= 0:
|
||||
raise ValueError("[%s] Length must be a positive integer"
|
||||
% name)
|
||||
else:
|
||||
length = self.length
|
||||
if decimalCount is None:
|
||||
decimalCount = 0
|
||||
## set fields
|
||||
self.name = name
|
||||
# FIXME: validate length according to the specification at
|
||||
# http://www.clicketyclick.dk/databases/xbase/format/data_types.html
|
||||
self.length = length
|
||||
self.decimalCount = decimalCount
|
||||
self.ignoreErrors = ignoreErrors
|
||||
self.start = start
|
||||
self.end = stop
|
||||
|
||||
def __cmp__(self, other):
|
||||
return cmp(self.name, str(other).upper())
|
||||
|
||||
def __hash__(self):
|
||||
return hash(self.name)
|
||||
|
||||
def fromString(cls, string, start, ignoreErrors=False):
|
||||
"""Decode dbf field definition from the string data.
|
||||
|
||||
Arguments:
|
||||
string:
|
||||
a string, dbf definition is decoded from. length of
|
||||
the string must be 32 bytes.
|
||||
start:
|
||||
position in the database file.
|
||||
ignoreErrors:
|
||||
initial error processing mode for the new field (boolean)
|
||||
|
||||
"""
|
||||
assert len(string) == 32
|
||||
_length = string[16]
|
||||
return cls(utils.unzfill(string)[:11].decode('utf-8'), _length,
|
||||
string[17], start, start + _length, ignoreErrors=ignoreErrors)
|
||||
fromString = classmethod(fromString)
|
||||
|
||||
def toString(self):
|
||||
"""Return encoded field definition.
|
||||
|
||||
Return:
|
||||
Return value is a string object containing encoded
|
||||
definition of this field.
|
||||
|
||||
"""
|
||||
if sys.version_info < (2, 4):
|
||||
# earlier versions did not support padding character
|
||||
_name = self.name[:11] + "\0" * (11 - len(self.name))
|
||||
else:
|
||||
_name = self.name.ljust(11, '\0')
|
||||
return (
|
||||
_name +
|
||||
self.typeCode +
|
||||
#data address
|
||||
chr(0) * 4 +
|
||||
chr(self.length) +
|
||||
chr(self.decimalCount) +
|
||||
chr(0) * 14
|
||||
)
|
||||
|
||||
def __repr__(self):
|
||||
return "%-10s %1s %3d %3d" % self.fieldInfo()
|
||||
|
||||
def fieldInfo(self):
|
||||
"""Return field information.
|
||||
|
||||
Return:
|
||||
Return value is a (name, type, length, decimals) tuple.
|
||||
|
||||
"""
|
||||
return (self.name, self.typeCode, self.length, self.decimalCount)
|
||||
|
||||
def rawFromRecord(self, record):
|
||||
"""Return a "raw" field value from the record string."""
|
||||
return record[self.start:self.end]
|
||||
|
||||
def decodeFromRecord(self, record):
|
||||
"""Return decoded field value from the record string."""
|
||||
try:
|
||||
return self.decodeValue(self.rawFromRecord(record))
|
||||
except:
|
||||
if self.ignoreErrors:
|
||||
return utils.INVALID_VALUE
|
||||
else:
|
||||
raise
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return decoded value from string value.
|
||||
|
||||
This method shouldn't be used publicly. It's called from the
|
||||
`decodeFromRecord` method.
|
||||
|
||||
This is an abstract method and it must be overridden in child classes.
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return str object containing encoded field value.
|
||||
|
||||
This is an abstract method and it must be overriden in child classes.
|
||||
"""
|
||||
raise NotImplementedError
|
||||
|
||||
## real classes
|
||||
|
||||
class DbfCharacterFieldDef(DbfFieldDef):
|
||||
"""Definition of the character field."""
|
||||
|
||||
typeCode = "C"
|
||||
defaultValue = b''
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return string object.
|
||||
|
||||
Return value is a ``value`` argument with stripped right spaces.
|
||||
|
||||
"""
|
||||
return value.rstrip(b' ').decode('utf-8')
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return raw data string encoded from a ``value``."""
|
||||
return str(value)[:self.length].ljust(self.length)
|
||||
|
||||
|
||||
class DbfNumericFieldDef(DbfFieldDef):
|
||||
"""Definition of the numeric field."""
|
||||
|
||||
typeCode = "N"
|
||||
# XXX: now I'm not sure it was a good idea to make a class field
|
||||
# `defaultValue` instead of a generic method as it was implemented
|
||||
# previously -- it's ok with all types except number, cuz
|
||||
# if self.decimalCount is 0, we should return 0 and 0.0 otherwise.
|
||||
defaultValue = 0
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return a number decoded from ``value``.
|
||||
|
||||
If decimals is zero, value will be decoded as an integer;
|
||||
or as a float otherwise.
|
||||
|
||||
Return:
|
||||
Return value is a int (long) or float instance.
|
||||
|
||||
"""
|
||||
value = value.strip(b' \0')
|
||||
if b'.' in value:
|
||||
# a float (has decimal separator)
|
||||
return float(value)
|
||||
elif value:
|
||||
# must be an integer
|
||||
return int(value)
|
||||
else:
|
||||
return 0
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return string containing encoded ``value``."""
|
||||
_rv = ("%*.*f" % (self.length, self.decimalCount, value))
|
||||
if len(_rv) > self.length:
|
||||
_ppos = _rv.find(".")
|
||||
if 0 <= _ppos <= self.length:
|
||||
_rv = _rv[:self.length]
|
||||
else:
|
||||
raise ValueError("[%s] Numeric overflow: %s (field width: %i)"
|
||||
% (self.name, _rv, self.length))
|
||||
return _rv
|
||||
|
||||
class DbfFloatFieldDef(DbfNumericFieldDef):
|
||||
"""Definition of the float field - same as numeric."""
|
||||
|
||||
typeCode = "F"
|
||||
|
||||
class DbfIntegerFieldDef(DbfFieldDef):
|
||||
"""Definition of the integer field."""
|
||||
|
||||
typeCode = "I"
|
||||
length = 4
|
||||
defaultValue = 0
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return an integer number decoded from ``value``."""
|
||||
return struct.unpack("<i", value)[0]
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return string containing encoded ``value``."""
|
||||
return struct.pack("<i", int(value))
|
||||
|
||||
class DbfCurrencyFieldDef(DbfFieldDef):
|
||||
"""Definition of the currency field."""
|
||||
|
||||
typeCode = "Y"
|
||||
length = 8
|
||||
defaultValue = 0.0
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return float number decoded from ``value``."""
|
||||
return struct.unpack("<q", value)[0] / 10000.
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return string containing encoded ``value``."""
|
||||
return struct.pack("<q", round(value * 10000))
|
||||
|
||||
class DbfLogicalFieldDef(DbfFieldDef):
|
||||
"""Definition of the logical field."""
|
||||
|
||||
typeCode = "L"
|
||||
defaultValue = -1
|
||||
length = 1
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return True, False or -1 decoded from ``value``."""
|
||||
# Note: value always is 1-char string
|
||||
if value == "?":
|
||||
return -1
|
||||
if value in "NnFf ":
|
||||
return False
|
||||
if value in "YyTt":
|
||||
return True
|
||||
raise ValueError("[%s] Invalid logical value %r" % (self.name, value))
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return a character from the "TF?" set.
|
||||
|
||||
Return:
|
||||
Return value is "T" if ``value`` is True
|
||||
"?" if value is -1 or False otherwise.
|
||||
|
||||
"""
|
||||
if value is True:
|
||||
return "T"
|
||||
if value == -1:
|
||||
return "?"
|
||||
return "F"
|
||||
|
||||
|
||||
class DbfMemoFieldDef(DbfFieldDef):
|
||||
"""Definition of the memo field.
|
||||
|
||||
Note: memos aren't currenly completely supported.
|
||||
|
||||
"""
|
||||
|
||||
typeCode = "M"
|
||||
defaultValue = " " * 10
|
||||
length = 10
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return int .dbt block number decoded from the string object."""
|
||||
#return int(value)
|
||||
raise NotImplementedError
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return raw data string encoded from a ``value``.
|
||||
|
||||
Note: this is an internal method.
|
||||
|
||||
"""
|
||||
#return str(value)[:self.length].ljust(self.length)
|
||||
raise NotImplementedError
|
||||
|
||||
|
||||
class DbfDateFieldDef(DbfFieldDef):
|
||||
"""Definition of the date field."""
|
||||
|
||||
typeCode = "D"
|
||||
defaultValue = utils.classproperty(lambda cls: datetime.date.today())
|
||||
# "yyyymmdd" gives us 8 characters
|
||||
length = 8
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return a ``datetime.date`` instance decoded from ``value``."""
|
||||
if value.strip():
|
||||
return utils.getDate(value)
|
||||
else:
|
||||
return None
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return a string-encoded value.
|
||||
|
||||
``value`` argument should be a value suitable for the
|
||||
`utils.getDate` call.
|
||||
|
||||
Return:
|
||||
Return value is a string in format "yyyymmdd".
|
||||
|
||||
"""
|
||||
if value:
|
||||
return utils.getDate(value).strftime("%Y%m%d")
|
||||
else:
|
||||
return " " * self.length
|
||||
|
||||
|
||||
class DbfDateTimeFieldDef(DbfFieldDef):
|
||||
"""Definition of the timestamp field."""
|
||||
|
||||
# a difference between JDN (Julian Day Number)
|
||||
# and GDN (Gregorian Day Number). note, that GDN < JDN
|
||||
JDN_GDN_DIFF = 1721425
|
||||
typeCode = "T"
|
||||
defaultValue = utils.classproperty(lambda cls: datetime.datetime.now())
|
||||
# two 32-bits integers representing JDN and amount of
|
||||
# milliseconds respectively gives us 8 bytes.
|
||||
# note, that values must be encoded in LE byteorder.
|
||||
length = 8
|
||||
|
||||
def decodeValue(self, value):
|
||||
"""Return a `datetime.datetime` instance."""
|
||||
assert len(value) == self.length
|
||||
# LE byteorder
|
||||
_jdn, _msecs = struct.unpack("<2I", value)
|
||||
if _jdn >= 1:
|
||||
_rv = datetime.datetime.fromordinal(_jdn - self.JDN_GDN_DIFF)
|
||||
_rv += datetime.timedelta(0, _msecs / 1000.0)
|
||||
else:
|
||||
# empty date
|
||||
_rv = None
|
||||
return _rv
|
||||
|
||||
def encodeValue(self, value):
|
||||
"""Return a string-encoded ``value``."""
|
||||
if value:
|
||||
value = utils.getDateTime(value)
|
||||
# LE byteorder
|
||||
_rv = struct.pack("<2I", value.toordinal() + self.JDN_GDN_DIFF,
|
||||
(value.hour * 3600 + value.minute * 60 + value.second) * 1000)
|
||||
else:
|
||||
_rv = "\0" * self.length
|
||||
assert len(_rv) == self.length
|
||||
return _rv
|
||||
|
||||
|
||||
_fieldsRegistry = {}
|
||||
|
||||
def registerField(fieldCls):
|
||||
"""Register field definition class.
|
||||
|
||||
``fieldCls`` should be subclass of the `DbfFieldDef`.
|
||||
|
||||
Use `lookupFor` to retrieve field definition class
|
||||
by the type code.
|
||||
|
||||
"""
|
||||
assert fieldCls.typeCode is not None, "Type code isn't defined"
|
||||
# XXX: use fieldCls.typeCode.upper()? in case of any decign
|
||||
# don't forget to look to the same comment in ``lookupFor`` method
|
||||
_fieldsRegistry[fieldCls.typeCode] = fieldCls
|
||||
|
||||
|
||||
def lookupFor(typeCode):
|
||||
"""Return field definition class for the given type code.
|
||||
|
||||
``typeCode`` must be a single character. That type should be
|
||||
previously registered.
|
||||
|
||||
Use `registerField` to register new field class.
|
||||
|
||||
Return:
|
||||
Return value is a subclass of the `DbfFieldDef`.
|
||||
|
||||
"""
|
||||
# XXX: use typeCode.upper()? in case of any decign don't
|
||||
# forget to look to the same comment in ``registerField``
|
||||
return _fieldsRegistry[chr(typeCode)]
|
||||
|
||||
## register generic types
|
||||
|
||||
for (_name, _val) in list(globals().items()):
|
||||
if isinstance(_val, type) and issubclass(_val, DbfFieldDef) \
|
||||
and (_name != "DbfFieldDef"):
|
||||
__all__.append(_name)
|
||||
registerField(_val)
|
||||
del _name, _val
|
||||
|
||||
# vim: et sts=4 sw=4 :
|
||||
@@ -0,0 +1,273 @@
|
||||
"""DBF header definition.
|
||||
|
||||
TODO:
|
||||
- handle encoding of the character fields
|
||||
(encoding information stored in the DBF header)
|
||||
|
||||
"""
|
||||
"""History (most recent first):
|
||||
16-sep-2010 [als] fromStream: fix century of the last update field
|
||||
11-feb-2007 [als] added .ignoreErrors
|
||||
10-feb-2007 [als] added __getitem__: return field definitions
|
||||
by field name or field number (zero-based)
|
||||
04-jul-2006 [als] added export declaration
|
||||
15-dec-2005 [yc] created
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.6 $"[11:-2]
|
||||
__date__ = "$Date: 2010/09/16 05:06:39 $"[7:-2]
|
||||
|
||||
__all__ = ["DbfHeader"]
|
||||
|
||||
import io
|
||||
import datetime
|
||||
import struct
|
||||
import time
|
||||
import sys
|
||||
|
||||
from . import fields
|
||||
from .utils import getDate
|
||||
|
||||
|
||||
class DbfHeader(object):
|
||||
"""Dbf header definition.
|
||||
|
||||
For more information about dbf header format visit
|
||||
`http://www.clicketyclick.dk/databases/xbase/format/dbf.html#DBF_STRUCT`
|
||||
|
||||
Examples:
|
||||
Create an empty dbf header and add some field definitions:
|
||||
dbfh = DbfHeader()
|
||||
dbfh.addField(("name", "C", 10))
|
||||
dbfh.addField(("date", "D"))
|
||||
dbfh.addField(DbfNumericFieldDef("price", 5, 2))
|
||||
Create a dbf header with field definitions:
|
||||
dbfh = DbfHeader([
|
||||
("name", "C", 10),
|
||||
("date", "D"),
|
||||
DbfNumericFieldDef("price", 5, 2),
|
||||
])
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = ("signature", "fields", "lastUpdate", "recordLength",
|
||||
"recordCount", "headerLength", "changed", "_ignore_errors")
|
||||
|
||||
## instance construction and initialization methods
|
||||
|
||||
def __init__(self, fields=None, headerLength=0, recordLength=0,
|
||||
recordCount=0, signature=0x03, lastUpdate=None, ignoreErrors=False,
|
||||
):
|
||||
"""Initialize instance.
|
||||
|
||||
Arguments:
|
||||
fields:
|
||||
a list of field definitions;
|
||||
recordLength:
|
||||
size of the records;
|
||||
headerLength:
|
||||
size of the header;
|
||||
recordCount:
|
||||
number of records stored in DBF;
|
||||
signature:
|
||||
version number (aka signature). using 0x03 as a default meaning
|
||||
"File without DBT". for more information about this field visit
|
||||
``http://www.clicketyclick.dk/databases/xbase/format/dbf.html#DBF_NOTE_1_TARGET``
|
||||
lastUpdate:
|
||||
date of the DBF's update. this could be a string ('yymmdd' or
|
||||
'yyyymmdd'), timestamp (int or float), datetime/date value,
|
||||
a sequence (assuming (yyyy, mm, dd, ...)) or an object having
|
||||
callable ``ticks`` field.
|
||||
ignoreErrors:
|
||||
error processing mode for DBF fields (boolean)
|
||||
|
||||
"""
|
||||
self.signature = signature
|
||||
if fields is None:
|
||||
self.fields = []
|
||||
else:
|
||||
self.fields = list(fields)
|
||||
self.lastUpdate = getDate(lastUpdate)
|
||||
self.recordLength = recordLength
|
||||
self.headerLength = headerLength
|
||||
self.recordCount = recordCount
|
||||
self.ignoreErrors = ignoreErrors
|
||||
# XXX: I'm not sure this is safe to
|
||||
# initialize `self.changed` in this way
|
||||
self.changed = bool(self.fields)
|
||||
|
||||
# @classmethod
|
||||
def fromString(cls, string):
|
||||
"""Return header instance from the string object."""
|
||||
return cls.fromStream(io.StringIO(str(string)))
|
||||
fromString = classmethod(fromString)
|
||||
|
||||
# @classmethod
|
||||
def fromStream(cls, stream):
|
||||
"""Return header object from the stream."""
|
||||
stream.seek(0)
|
||||
first_32 = stream.read(32)
|
||||
if type(first_32) != bytes:
|
||||
_data = bytes(first_32, sys.getfilesystemencoding())
|
||||
_data = first_32
|
||||
(_cnt, _hdrLen, _recLen) = struct.unpack("<I2H", _data[4:12])
|
||||
#reserved = _data[12:32]
|
||||
_year = _data[1]
|
||||
if _year < 80:
|
||||
# dBase II started at 1980. It is quite unlikely
|
||||
# that actual last update date is before that year.
|
||||
_year += 2000
|
||||
else:
|
||||
_year += 1900
|
||||
## create header object
|
||||
_obj = cls(None, _hdrLen, _recLen, _cnt, _data[0],
|
||||
(_year, _data[2], _data[3]))
|
||||
## append field definitions
|
||||
# position 0 is for the deletion flag
|
||||
_pos = 1
|
||||
_data = stream.read(1)
|
||||
while _data != b'\r':
|
||||
_data += stream.read(31)
|
||||
_fld = fields.lookupFor(_data[11]).fromString(_data, _pos)
|
||||
_obj._addField(_fld)
|
||||
_pos = _fld.end
|
||||
_data = stream.read(1)
|
||||
return _obj
|
||||
fromStream = classmethod(fromStream)
|
||||
|
||||
## properties
|
||||
|
||||
year = property(lambda self: self.lastUpdate.year)
|
||||
month = property(lambda self: self.lastUpdate.month)
|
||||
day = property(lambda self: self.lastUpdate.day)
|
||||
|
||||
def ignoreErrors(self, value):
|
||||
"""Update `ignoreErrors` flag on self and all fields"""
|
||||
self._ignore_errors = value = bool(value)
|
||||
for _field in self.fields:
|
||||
_field.ignoreErrors = value
|
||||
ignoreErrors = property(
|
||||
lambda self: self._ignore_errors,
|
||||
ignoreErrors,
|
||||
doc="""Error processing mode for DBF field value conversion
|
||||
|
||||
if set, failing field value conversion will return
|
||||
``INVALID_VALUE`` instead of raising conversion error.
|
||||
|
||||
""")
|
||||
|
||||
## object representation
|
||||
|
||||
def __repr__(self):
|
||||
_rv = """\
|
||||
Version (signature): 0x%02x
|
||||
Last update: %s
|
||||
Header length: %d
|
||||
Record length: %d
|
||||
Record count: %d
|
||||
FieldName Type Len Dec
|
||||
""" % (self.signature, self.lastUpdate, self.headerLength,
|
||||
self.recordLength, self.recordCount)
|
||||
_rv += "\n".join(
|
||||
["%10s %4s %3s %3s" % _fld.fieldInfo() for _fld in self.fields]
|
||||
)
|
||||
return _rv
|
||||
|
||||
## internal methods
|
||||
|
||||
def _addField(self, *defs):
|
||||
"""Internal variant of the `addField` method.
|
||||
|
||||
This method doesn't set `self.changed` field to True.
|
||||
|
||||
Return value is a length of the appended records.
|
||||
Note: this method doesn't modify ``recordLength`` and
|
||||
``headerLength`` fields. Use `addField` instead of this
|
||||
method if you don't exactly know what you're doing.
|
||||
|
||||
"""
|
||||
# insure we have dbf.DbfFieldDef instances first (instantiation
|
||||
# from the tuple could raise an error, in such a case I don't
|
||||
# wanna add any of the definitions -- all will be ignored)
|
||||
_defs = []
|
||||
_recordLength = 0
|
||||
for _def in defs:
|
||||
if isinstance(_def, fields.DbfFieldDef):
|
||||
_obj = _def
|
||||
else:
|
||||
(_name, _type, _len, _dec) = (tuple(_def) + (None,) * 4)[:4]
|
||||
_cls = fields.lookupFor(_type)
|
||||
_obj = _cls(_name, _len, _dec,
|
||||
ignoreErrors=self._ignore_errors)
|
||||
_recordLength += _obj.length
|
||||
_defs.append(_obj)
|
||||
# and now extend field definitions and
|
||||
# update record length
|
||||
self.fields += _defs
|
||||
return _recordLength
|
||||
|
||||
## interface methods
|
||||
|
||||
def addField(self, *defs):
|
||||
"""Add field definition to the header.
|
||||
|
||||
Examples:
|
||||
dbfh.addField(
|
||||
("name", "C", 20),
|
||||
dbf.DbfCharacterFieldDef("surname", 20),
|
||||
dbf.DbfDateFieldDef("birthdate"),
|
||||
("member", "L"),
|
||||
)
|
||||
dbfh.addField(("price", "N", 5, 2))
|
||||
dbfh.addField(dbf.DbfNumericFieldDef("origprice", 5, 2))
|
||||
|
||||
"""
|
||||
_oldLen = self.recordLength
|
||||
self.recordLength += self._addField(*defs)
|
||||
if not _oldLen:
|
||||
self.recordLength += 1
|
||||
# XXX: may be just use:
|
||||
# self.recordeLength += self._addField(*defs) + bool(not _oldLen)
|
||||
# recalculate headerLength
|
||||
self.headerLength = 32 + (32 * len(self.fields)) + 1
|
||||
self.changed = True
|
||||
|
||||
def write(self, stream):
|
||||
"""Encode and write header to the stream."""
|
||||
stream.seek(0)
|
||||
stream.write(self.toString())
|
||||
fields = [_fld.toString() for _fld in self.fields]
|
||||
stream.write(''.join(fields).encode(sys.getfilesystemencoding()))
|
||||
stream.write(b'\x0D') # cr at end of all header data
|
||||
self.changed = False
|
||||
|
||||
def toString(self):
|
||||
"""Returned 32 chars length string with encoded header."""
|
||||
return struct.pack("<4BI2H",
|
||||
self.signature,
|
||||
self.year - 1900,
|
||||
self.month,
|
||||
self.day,
|
||||
self.recordCount,
|
||||
self.headerLength,
|
||||
self.recordLength) + (b'\x00' * 20)
|
||||
#TODO: figure out if bytes(utf-8) is correct here.
|
||||
|
||||
def setCurrentDate(self):
|
||||
"""Update ``self.lastUpdate`` field with current date value."""
|
||||
self.lastUpdate = datetime.date.today()
|
||||
|
||||
def __getitem__(self, item):
|
||||
"""Return a field definition by numeric index or name string"""
|
||||
if isinstance(item, str):
|
||||
_name = item.upper()
|
||||
for _field in self.fields:
|
||||
if _field.name == _name:
|
||||
return _field
|
||||
else:
|
||||
raise KeyError(item)
|
||||
else:
|
||||
# item must be field index
|
||||
return self.fields[item]
|
||||
|
||||
# vim: et sts=4 sw=4 :
|
||||
@@ -0,0 +1,266 @@
|
||||
"""DBF record definition.
|
||||
|
||||
"""
|
||||
"""History (most recent first):
|
||||
11-feb-2007 [als] __repr__: added special case for invalid field values
|
||||
10-feb-2007 [als] added .rawFromStream()
|
||||
30-oct-2006 [als] fix record length in .fromStream()
|
||||
04-jul-2006 [als] added export declaration
|
||||
20-dec-2005 [yc] DbfRecord.write() -> DbfRecord._write();
|
||||
added delete() method.
|
||||
16-dec-2005 [yc] record definition moved from `dbf`.
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.7 $"[11:-2]
|
||||
__date__ = "$Date: 2007/02/11 09:05:49 $"[7:-2]
|
||||
|
||||
__all__ = ["DbfRecord"]
|
||||
|
||||
import sys
|
||||
|
||||
from . import utils
|
||||
|
||||
class DbfRecord(object):
|
||||
"""DBF record.
|
||||
|
||||
Instances of this class shouldn't be created manualy,
|
||||
use `dbf.Dbf.newRecord` instead.
|
||||
|
||||
Class implements mapping/sequence interface, so
|
||||
fields could be accessed via their names or indexes
|
||||
(names is a preffered way to access fields).
|
||||
|
||||
Hint:
|
||||
Use `store` method to save modified record.
|
||||
|
||||
Examples:
|
||||
Add new record to the database:
|
||||
db = Dbf(filename)
|
||||
rec = db.newRecord()
|
||||
rec["FIELD1"] = value1
|
||||
rec["FIELD2"] = value2
|
||||
rec.store()
|
||||
Or the same, but modify existed
|
||||
(second in this case) record:
|
||||
db = Dbf(filename)
|
||||
rec = db[2]
|
||||
rec["FIELD1"] = value1
|
||||
rec["FIELD2"] = value2
|
||||
rec.store()
|
||||
|
||||
"""
|
||||
|
||||
__slots__ = "dbf", "index", "deleted", "fieldData"
|
||||
|
||||
## creation and initialization
|
||||
|
||||
def __init__(self, dbf, index=None, deleted=False, data=None):
|
||||
"""Instance initialiation.
|
||||
|
||||
Arguments:
|
||||
dbf:
|
||||
A `Dbf.Dbf` instance this record belonogs to.
|
||||
index:
|
||||
An integer record index or None. If this value is
|
||||
None, record will be appended to the DBF.
|
||||
deleted:
|
||||
Boolean flag indicating whether this record
|
||||
is a deleted record.
|
||||
data:
|
||||
A sequence or None. This is a data of the fields.
|
||||
If this argument is None, default values will be used.
|
||||
|
||||
"""
|
||||
self.dbf = dbf
|
||||
# XXX: I'm not sure ``index`` is necessary
|
||||
self.index = index
|
||||
self.deleted = deleted
|
||||
if data is None:
|
||||
self.fieldData = [_fd.defaultValue for _fd in dbf.header.fields]
|
||||
else:
|
||||
self.fieldData = list(data)
|
||||
|
||||
# XXX: validate self.index before calculating position?
|
||||
position = property(lambda self: self.dbf.header.headerLength + \
|
||||
self.index * self.dbf.header.recordLength)
|
||||
|
||||
def rawFromStream(cls, dbf, index):
|
||||
"""Return raw record contents read from the stream.
|
||||
|
||||
Arguments:
|
||||
dbf:
|
||||
A `Dbf.Dbf` instance containing the record.
|
||||
index:
|
||||
Index of the record in the records' container.
|
||||
This argument can't be None in this call.
|
||||
|
||||
Return value is a string containing record data in DBF format.
|
||||
|
||||
"""
|
||||
# XXX: may be write smth assuming, that current stream
|
||||
# position is the required one? it could save some
|
||||
# time required to calculate where to seek in the file
|
||||
dbf.stream.seek(dbf.header.headerLength +
|
||||
index * dbf.header.recordLength)
|
||||
return dbf.stream.read(dbf.header.recordLength)
|
||||
rawFromStream = classmethod(rawFromStream)
|
||||
|
||||
def fromStream(cls, dbf, index):
|
||||
"""Return a record read from the stream.
|
||||
|
||||
Arguments:
|
||||
dbf:
|
||||
A `Dbf.Dbf` instance new record should belong to.
|
||||
index:
|
||||
Index of the record in the records' container.
|
||||
This argument can't be None in this call.
|
||||
|
||||
Return value is an instance of the current class.
|
||||
|
||||
"""
|
||||
return cls.fromString(dbf, cls.rawFromStream(dbf, index), index)
|
||||
fromStream = classmethod(fromStream)
|
||||
|
||||
def fromString(cls, dbf, string, index=None):
|
||||
"""Return record read from the string object.
|
||||
|
||||
Arguments:
|
||||
dbf:
|
||||
A `Dbf.Dbf` instance new record should belong to.
|
||||
string:
|
||||
A string new record should be created from.
|
||||
index:
|
||||
Index of the record in the container. If this
|
||||
argument is None, record will be appended.
|
||||
|
||||
Return value is an instance of the current class.
|
||||
|
||||
"""
|
||||
return cls(dbf, index, string[0]=="*",
|
||||
[_fd.decodeFromRecord(string) for _fd in dbf.header.fields])
|
||||
fromString = classmethod(fromString)
|
||||
|
||||
## object representation
|
||||
|
||||
def __repr__(self):
|
||||
_template = "%%%ds: %%s (%%s)" % max([len(_fld)
|
||||
for _fld in self.dbf.fieldNames])
|
||||
_rv = []
|
||||
for _fld in self.dbf.fieldNames:
|
||||
_val = self[_fld]
|
||||
if _val is utils.INVALID_VALUE:
|
||||
_rv.append(_template %
|
||||
(_fld, "None", "value cannot be decoded"))
|
||||
else:
|
||||
_rv.append(_template % (_fld, _val, type(_val)))
|
||||
return "\n".join(_rv)
|
||||
|
||||
## protected methods
|
||||
|
||||
def _write(self):
|
||||
"""Write data to the dbf stream.
|
||||
|
||||
Note:
|
||||
This isn't a public method, it's better to
|
||||
use 'store' instead publically.
|
||||
Be design ``_write`` method should be called
|
||||
only from the `Dbf` instance.
|
||||
|
||||
|
||||
"""
|
||||
self._validateIndex(False)
|
||||
self.dbf.stream.seek(self.position)
|
||||
self.dbf.stream.write(bytes(self.toString(),
|
||||
sys.getfilesystemencoding()))
|
||||
# FIXME: may be move this write somewhere else?
|
||||
# why we should check this condition for each record?
|
||||
if self.index == len(self.dbf):
|
||||
# this is the last record,
|
||||
# we should write SUB (ASCII 26)
|
||||
self.dbf.stream.write(b"\x1A")
|
||||
|
||||
## utility methods
|
||||
|
||||
def _validateIndex(self, allowUndefined=True, checkRange=False):
|
||||
"""Valid ``self.index`` value.
|
||||
|
||||
If ``allowUndefined`` argument is True functions does nothing
|
||||
in case of ``self.index`` pointing to None object.
|
||||
|
||||
"""
|
||||
if self.index is None:
|
||||
if not allowUndefined:
|
||||
raise ValueError("Index is undefined")
|
||||
elif self.index < 0:
|
||||
raise ValueError("Index can't be negative (%s)" % self.index)
|
||||
elif checkRange and self.index <= self.dbf.header.recordCount:
|
||||
raise ValueError("There are only %d records in the DBF" %
|
||||
self.dbf.header.recordCount)
|
||||
|
||||
## interface methods
|
||||
|
||||
def store(self):
|
||||
"""Store current record in the DBF.
|
||||
|
||||
If ``self.index`` is None, this record will be appended to the
|
||||
records of the DBF this records belongs to; or replaced otherwise.
|
||||
|
||||
"""
|
||||
self._validateIndex()
|
||||
if self.index is None:
|
||||
self.index = len(self.dbf)
|
||||
self.dbf.append(self)
|
||||
else:
|
||||
self.dbf[self.index] = self
|
||||
|
||||
def delete(self):
|
||||
"""Mark method as deleted."""
|
||||
self.deleted = True
|
||||
|
||||
def toString(self):
|
||||
"""Return string packed record values."""
|
||||
# for (_def, _dat) in zip(self.dbf.header.fields, self.fieldData):
|
||||
#
|
||||
|
||||
return "".join([" *"[self.deleted]] + [
|
||||
_def.encodeValue(_dat)
|
||||
for (_def, _dat) in zip(self.dbf.header.fields, self.fieldData)
|
||||
])
|
||||
|
||||
def asList(self):
|
||||
"""Return a flat list of fields.
|
||||
|
||||
Note:
|
||||
Change of the list's values won't change
|
||||
real values stored in this object.
|
||||
|
||||
"""
|
||||
return self.fieldData[:]
|
||||
|
||||
def asDict(self):
|
||||
"""Return a dictionary of fields.
|
||||
|
||||
Note:
|
||||
Change of the dicts's values won't change
|
||||
real values stored in this object.
|
||||
|
||||
"""
|
||||
return dict([_i for _i in zip(self.dbf.fieldNames, self.fieldData)])
|
||||
|
||||
def __getitem__(self, key):
|
||||
"""Return value by field name or field index."""
|
||||
if isinstance(key, int):
|
||||
# integer index of the field
|
||||
return self.fieldData[key]
|
||||
# assuming string field name
|
||||
return self.fieldData[self.dbf.indexOfFieldName(key)]
|
||||
|
||||
def __setitem__(self, key, value):
|
||||
"""Set field value by integer index of the field or string name."""
|
||||
if isinstance(key, int):
|
||||
# integer index of the field
|
||||
return self.fieldData[key]
|
||||
# assuming string field name
|
||||
self.fieldData[self.dbf.indexOfFieldName(key)] = value
|
||||
|
||||
# vim: et sts=4 sw=4 :
|
||||
@@ -0,0 +1,170 @@
|
||||
"""String utilities.
|
||||
|
||||
TODO:
|
||||
- allow strings in getDateTime routine;
|
||||
"""
|
||||
"""History (most recent first):
|
||||
11-feb-2007 [als] added INVALID_VALUE
|
||||
10-feb-2007 [als] allow date strings padded with spaces instead of zeroes
|
||||
20-dec-2005 [yc] handle long objects in getDate/getDateTime
|
||||
16-dec-2005 [yc] created from ``strutil`` module.
|
||||
"""
|
||||
|
||||
__version__ = "$Revision: 1.4 $"[11:-2]
|
||||
__date__ = "$Date: 2007/02/11 08:57:17 $"[7:-2]
|
||||
|
||||
import datetime
|
||||
import time
|
||||
|
||||
|
||||
def unzfill(str):
|
||||
"""Return a string without ASCII NULs.
|
||||
|
||||
This function searchers for the first NUL (ASCII 0) occurance
|
||||
and truncates string till that position.
|
||||
|
||||
"""
|
||||
try:
|
||||
return str[:str.index(b'\0')]
|
||||
except ValueError:
|
||||
return str
|
||||
|
||||
|
||||
def getDate(date=None):
|
||||
"""Return `datetime.date` instance.
|
||||
|
||||
Type of the ``date`` argument could be one of the following:
|
||||
None:
|
||||
use current date value;
|
||||
datetime.date:
|
||||
this value will be returned;
|
||||
datetime.datetime:
|
||||
the result of the date.date() will be returned;
|
||||
string:
|
||||
assuming "%Y%m%d" or "%y%m%dd" format;
|
||||
number:
|
||||
assuming it's a timestamp (returned for example
|
||||
by the time.time() call;
|
||||
sequence:
|
||||
assuming (year, month, day, ...) sequence;
|
||||
|
||||
Additionaly, if ``date`` has callable ``ticks`` attribute,
|
||||
it will be used and result of the called would be treated
|
||||
as a timestamp value.
|
||||
|
||||
"""
|
||||
if date is None:
|
||||
# use current value
|
||||
return datetime.date.today()
|
||||
if isinstance(date, datetime.date):
|
||||
return date
|
||||
if isinstance(date, datetime.datetime):
|
||||
return date.date()
|
||||
if isinstance(date, (int, float)):
|
||||
# date is a timestamp
|
||||
return datetime.date.fromtimestamp(date)
|
||||
if isinstance(date, str):
|
||||
date = date.replace(" ", "0")
|
||||
if len(date) == 6:
|
||||
# yymmdd
|
||||
return datetime.date(*time.strptime(date, "%y%m%d")[:3])
|
||||
# yyyymmdd
|
||||
return datetime.date(*time.strptime(date, "%Y%m%d")[:3])
|
||||
if hasattr(date, "__getitem__"):
|
||||
# a sequence (assuming date/time tuple)
|
||||
return datetime.date(*date[:3])
|
||||
return datetime.date.fromtimestamp(date.ticks())
|
||||
|
||||
|
||||
def getDateTime(value=None):
|
||||
"""Return `datetime.datetime` instance.
|
||||
|
||||
Type of the ``value`` argument could be one of the following:
|
||||
None:
|
||||
use current date value;
|
||||
datetime.date:
|
||||
result will be converted to the `datetime.datetime` instance
|
||||
using midnight;
|
||||
datetime.datetime:
|
||||
``value`` will be returned as is;
|
||||
string:
|
||||
*** CURRENTLY NOT SUPPORTED ***;
|
||||
number:
|
||||
assuming it's a timestamp (returned for example
|
||||
by the time.time() call;
|
||||
sequence:
|
||||
assuming (year, month, day, ...) sequence;
|
||||
|
||||
Additionaly, if ``value`` has callable ``ticks`` attribute,
|
||||
it will be used and result of the called would be treated
|
||||
as a timestamp value.
|
||||
|
||||
"""
|
||||
if value is None:
|
||||
# use current value
|
||||
return datetime.datetime.today()
|
||||
if isinstance(value, datetime.datetime):
|
||||
return value
|
||||
if isinstance(value, datetime.date):
|
||||
return datetime.datetime.fromordinal(value.toordinal())
|
||||
if isinstance(value, (int, float)):
|
||||
# value is a timestamp
|
||||
return datetime.datetime.fromtimestamp(value)
|
||||
if isinstance(value, str):
|
||||
raise NotImplementedError("Strings aren't currently implemented")
|
||||
if hasattr(value, "__getitem__"):
|
||||
# a sequence (assuming date/time tuple)
|
||||
return datetime.datetime(*tuple(value)[:6])
|
||||
return datetime.datetime.fromtimestamp(value.ticks())
|
||||
|
||||
|
||||
class classproperty(property):
|
||||
"""Works in the same way as a ``property``, but for the classes."""
|
||||
|
||||
def __get__(self, obj, cls):
|
||||
return self.fget(cls)
|
||||
|
||||
|
||||
class _InvalidValue(object):
|
||||
|
||||
"""Value returned from DBF records when field validation fails
|
||||
|
||||
The value is not equal to anything except for itself
|
||||
and equal to all empty values: None, 0, empty string etc.
|
||||
In other words, invalid value is equal to None and not equal
|
||||
to None at the same time.
|
||||
|
||||
This value yields zero upon explicit conversion to a number type,
|
||||
empty string for string types, and False for boolean.
|
||||
|
||||
"""
|
||||
|
||||
def __eq__(self, other):
|
||||
return not other
|
||||
|
||||
def __ne__(self, other):
|
||||
return not (other is self)
|
||||
|
||||
def __bool__(self):
|
||||
return False
|
||||
|
||||
def __int__(self):
|
||||
return 0
|
||||
__long__ = __int__
|
||||
|
||||
def __float__(self):
|
||||
return 0.0
|
||||
|
||||
def __str__(self):
|
||||
return ""
|
||||
|
||||
def __unicode__(self):
|
||||
return ""
|
||||
|
||||
def __repr__(self):
|
||||
return "<INVALID>"
|
||||
|
||||
# invalid value is a constant singleton
|
||||
INVALID_VALUE = _InvalidValue()
|
||||
|
||||
# vim: set et sts=4 sw=4 :
|
||||
@@ -0,0 +1,482 @@
|
||||
# This code is in the public domain, it comes
|
||||
# with absolutely no warranty and you can do
|
||||
# absolutely whatever you want with it.
|
||||
|
||||
__date__ = '17 May 2007'
|
||||
__version__ = '1.7'
|
||||
__doc__= """
|
||||
This is markup.py - a Python module that attempts to
|
||||
make it easier to generate HTML/XML from a Python program
|
||||
in an intuitive, lightweight, customizable and pythonic way.
|
||||
|
||||
The code is in the public domain.
|
||||
|
||||
Version: %s as of %s.
|
||||
|
||||
Documentation and further info is at http://markup.sourceforge.net/
|
||||
|
||||
Please send bug reports, feature requests, enhancement
|
||||
ideas or questions to nogradi at gmail dot com.
|
||||
|
||||
Installation: drop markup.py somewhere into your Python path.
|
||||
""" % ( __version__, __date__ )
|
||||
|
||||
import string
|
||||
|
||||
class element:
|
||||
"""This class handles the addition of a new element."""
|
||||
|
||||
def __init__( self, tag, case='lower', parent=None ):
|
||||
self.parent = parent
|
||||
|
||||
if case == 'lower':
|
||||
self.tag = tag.lower( )
|
||||
else:
|
||||
self.tag = tag.upper( )
|
||||
|
||||
def __call__( self, *args, **kwargs ):
|
||||
if len( args ) > 1:
|
||||
raise ArgumentError( self.tag )
|
||||
|
||||
# if class_ was defined in parent it should be added to every element
|
||||
if self.parent is not None and self.parent.class_ is not None:
|
||||
if 'class_' not in kwargs:
|
||||
kwargs['class_'] = self.parent.class_
|
||||
|
||||
if self.parent is None and len( args ) == 1:
|
||||
x = [ self.render( self.tag, False, myarg, mydict ) for myarg, mydict in _argsdicts( args, kwargs ) ]
|
||||
return '\n'.join( x )
|
||||
elif self.parent is None and len( args ) == 0:
|
||||
x = [ self.render( self.tag, True, myarg, mydict ) for myarg, mydict in _argsdicts( args, kwargs ) ]
|
||||
return '\n'.join( x )
|
||||
|
||||
if self.tag in self.parent.twotags:
|
||||
for myarg, mydict in _argsdicts( args, kwargs ):
|
||||
self.render( self.tag, False, myarg, mydict )
|
||||
elif self.tag in self.parent.onetags:
|
||||
if len( args ) == 0:
|
||||
for myarg, mydict in _argsdicts( args, kwargs ):
|
||||
self.render( self.tag, True, myarg, mydict ) # here myarg is always None, because len( args ) = 0
|
||||
else:
|
||||
raise ClosingError( self.tag )
|
||||
elif self.parent.mode == 'strict_html' and self.tag in self.parent.deptags:
|
||||
raise DeprecationError( self.tag )
|
||||
else:
|
||||
raise InvalidElementError( self.tag, self.parent.mode )
|
||||
|
||||
def render( self, tag, single, between, kwargs ):
|
||||
"""Append the actual tags to content."""
|
||||
|
||||
out = u"<%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 in ['http_equiv', 'accept_charset']:
|
||||
key.replace('_','-')
|
||||
out = u"%s %s=\"%s\"" % ( out, key, escape( value ) )
|
||||
else:
|
||||
out = u"%s %s" % ( out, key )
|
||||
if between is not None:
|
||||
out = u"%s>%s</%s>" % ( out, between, tag )
|
||||
else:
|
||||
if single:
|
||||
out = u"%s />" % out
|
||||
else:
|
||||
out = u"%s>" % out
|
||||
if self.parent is not None:
|
||||
self.parent.content.append( out )
|
||||
else:
|
||||
return out
|
||||
|
||||
def close( self ):
|
||||
"""Append a closing tag unless element has only opening tag."""
|
||||
|
||||
if self.tag in self.parent.twotags:
|
||||
self.parent.content.append( "</%s>" % self.tag )
|
||||
elif self.tag in self.parent.onetags:
|
||||
raise ClosingError( self.tag )
|
||||
elif self.parent.mode == 'strict_html' and self.tag in self.parent.deptags:
|
||||
raise DeprecationError( self.tag )
|
||||
|
||||
def open( self, **kwargs ):
|
||||
"""Append an opening tag."""
|
||||
|
||||
if self.tag in self.parent.twotags or self.tag in self.parent.onetags:
|
||||
self.render( self.tag, False, None, kwargs )
|
||||
elif self.mode == 'strict_html' and self.tag in self.parent.deptags:
|
||||
raise DeprecationError( self.tag )
|
||||
|
||||
class page:
|
||||
"""This is our main class representing a document. Elements are added
|
||||
as attributes of an instance of this class."""
|
||||
|
||||
def __init__( self, mode='strict_html', case='lower', onetags=None, twotags=None, separator='\n', class_=None ):
|
||||
"""Stuff that effects the whole document.
|
||||
|
||||
mode -- 'strict_html' for HTML 4.01 (default)
|
||||
'html' alias for 'strict_html'
|
||||
'loose_html' to allow some deprecated elements
|
||||
'xml' to allow arbitrary elements
|
||||
|
||||
case -- 'lower' element names will be printed in lower case (default)
|
||||
'upper' they will be printed in upper case
|
||||
|
||||
onetags -- list or tuple of valid elements with opening tags only
|
||||
twotags -- list or tuple of valid elements with both opening and closing tags
|
||||
these two keyword arguments may be used to select
|
||||
the set of valid elements in 'xml' mode
|
||||
invalid elements will raise appropriate exceptions
|
||||
|
||||
separator -- string to place between added elements, defaults to newline
|
||||
|
||||
class_ -- a class that will be added to every element if defined"""
|
||||
|
||||
valid_onetags = [ "AREA", "BASE", "BR", "COL", "FRAME", "HR", "IMG", "INPUT", "LINK", "META", "PARAM" ]
|
||||
valid_twotags = [ "A", "ABBR", "ACRONYM", "ADDRESS", "B", "BDO", "BIG", "BLOCKQUOTE", "BODY", "BUTTON",
|
||||
"CAPTION", "CITE", "CODE", "COLGROUP", "DD", "DEL", "DFN", "DIV", "DL", "DT", "EM", "FIELDSET",
|
||||
"FORM", "FRAMESET", "H1", "H2", "H3", "H4", "H5", "H6", "HEAD", "HTML", "I", "IFRAME", "INS",
|
||||
"KBD", "LABEL", "LEGEND", "LI", "MAP", "NOFRAMES", "NOSCRIPT", "OBJECT", "OL", "OPTGROUP",
|
||||
"OPTION", "P", "PRE", "Q", "SAMP", "SCRIPT", "SELECT", "SMALL", "SPAN", "STRONG", "STYLE",
|
||||
"SUB", "SUP", "TABLE", "TBODY", "TD", "TEXTAREA", "TFOOT", "TH", "THEAD", "TITLE", "TR",
|
||||
"TT", "UL", "VAR" ]
|
||||
deprecated_onetags = [ "BASEFONT", "ISINDEX" ]
|
||||
deprecated_twotags = [ "APPLET", "CENTER", "DIR", "FONT", "MENU", "S", "STRIKE", "U" ]
|
||||
|
||||
self.header = [ ]
|
||||
self.content = [ ]
|
||||
self.footer = [ ]
|
||||
self.case = case
|
||||
self.separator = separator
|
||||
|
||||
# init( ) sets it to True so we know that </body></html> has to be printed at the end
|
||||
self._full = False
|
||||
self.class_= class_
|
||||
|
||||
if mode == 'strict_html' or mode == 'html':
|
||||
self.onetags = valid_onetags
|
||||
self.onetags += map( string.lower, self.onetags )
|
||||
self.twotags = valid_twotags
|
||||
self.twotags += map( string.lower, self.twotags )
|
||||
self.deptags = deprecated_onetags + deprecated_twotags
|
||||
self.deptags += map( string.lower, self.deptags )
|
||||
self.mode = 'strict_html'
|
||||
elif mode == 'loose_html':
|
||||
self.onetags = valid_onetags + deprecated_onetags
|
||||
self.onetags += map( string.lower, self.onetags )
|
||||
self.twotags = valid_twotags + deprecated_twotags
|
||||
self.twotags += map( string.lower, self.twotags )
|
||||
self.mode = mode
|
||||
elif mode == 'xml':
|
||||
if onetags and twotags:
|
||||
self.onetags = onetags
|
||||
self.twotags = twotags
|
||||
elif ( onetags and not twotags ) or ( twotags and not onetags ):
|
||||
raise CustomizationError( )
|
||||
else:
|
||||
self.onetags = russell( )
|
||||
self.twotags = russell( )
|
||||
self.mode = mode
|
||||
else:
|
||||
raise ModeError( mode )
|
||||
|
||||
def __getattr__( self, attr ):
|
||||
if attr.startswith("__") and attr.endswith("__"):
|
||||
raise AttributeError(attr)
|
||||
return element( attr, case=self.case, parent=self )
|
||||
|
||||
def __str__( self ):
|
||||
|
||||
if self._full and ( self.mode == 'strict_html' or self.mode == 'loose_html' ):
|
||||
end = [ '</body>', '</html>' ]
|
||||
else:
|
||||
end = [ ]
|
||||
|
||||
return self.separator.join( self.header + self.content + self.footer + end )
|
||||
|
||||
def __call__( self, escape=False ):
|
||||
"""Return the document as a string.
|
||||
|
||||
escape -- False print normally
|
||||
True replace < and > by < and >
|
||||
the default escape sequences in most browsers"""
|
||||
|
||||
if escape:
|
||||
return _escape( self.__str__( ) )
|
||||
else:
|
||||
return self.__str__( )
|
||||
|
||||
def add( self, text ):
|
||||
"""This is an alias to addcontent."""
|
||||
self.addcontent( text )
|
||||
|
||||
def addfooter( self, text ):
|
||||
"""Add some text to the bottom of the document"""
|
||||
self.footer.append( text )
|
||||
|
||||
def addheader( self, text ):
|
||||
"""Add some text to the top of the document"""
|
||||
self.header.append( text )
|
||||
|
||||
def addcontent( self, text ):
|
||||
"""Add some text to the main part of the document"""
|
||||
self.content.append( text )
|
||||
|
||||
|
||||
def init( self, lang='en', css=None, metainfo=None, title=None, header=None,
|
||||
footer=None, charset=None, encoding=None, doctype=None, bodyattrs=None, script=None ):
|
||||
"""This method is used for complete documents with appropriate
|
||||
doctype, encoding, title, etc information. For an HTML/XML snippet
|
||||
omit this method.
|
||||
|
||||
lang -- language, usually a two character string, will appear
|
||||
as <html lang='en'> in html mode (ignored in xml mode)
|
||||
|
||||
css -- Cascading Style Sheet filename as a string or a list of
|
||||
strings for multiple css files (ignored in xml mode)
|
||||
|
||||
metainfo -- a dictionary in the form { 'name':'content' } to be inserted
|
||||
into meta element(s) as <meta name='name' content='content'>
|
||||
(ignored in xml mode)
|
||||
|
||||
bodyattrs --a dictionary in the form { 'key':'value', ... } which will be added
|
||||
as attributes of the <body> element as <body key='value' ... >
|
||||
(ignored in xml mode)
|
||||
|
||||
script -- dictionary containing src:type pairs, <script type='text/type' src=src></script>
|
||||
|
||||
title -- the title of the document as a string to be inserted into
|
||||
a title element as <title>my title</title> (ignored in xml mode)
|
||||
|
||||
header -- some text to be inserted right after the <body> element
|
||||
(ignored in xml mode)
|
||||
|
||||
footer -- some text to be inserted right before the </body> element
|
||||
(ignored in xml mode)
|
||||
|
||||
charset -- a string defining the character set, will be inserted into a
|
||||
<meta http-equiv='Content-Type' content='text/html; charset=myset'>
|
||||
element (ignored in xml mode)
|
||||
|
||||
encoding -- a string defining the encoding, will be put into to first line of
|
||||
the document as <?xml version='1.0' encoding='myencoding' ?> in
|
||||
xml mode (ignored in html mode)
|
||||
|
||||
doctype -- the document type string, defaults to
|
||||
<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN'>
|
||||
in html mode (ignored in xml mode)"""
|
||||
|
||||
self._full = True
|
||||
|
||||
if self.mode == 'strict_html' or self.mode == 'loose_html':
|
||||
if doctype is None:
|
||||
doctype = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN'>"
|
||||
self.header.append( doctype )
|
||||
self.html( lang=lang )
|
||||
self.head( )
|
||||
if charset is not None:
|
||||
self.meta( http_equiv='Content-Type', content="text/html; charset=%s" % charset )
|
||||
if metainfo is not None:
|
||||
self.metainfo( metainfo )
|
||||
if css is not None:
|
||||
self.css( css )
|
||||
if title is not None:
|
||||
self.title( title )
|
||||
if script is not None:
|
||||
self.scripts( script )
|
||||
self.head.close()
|
||||
if bodyattrs is not None:
|
||||
self.body( **bodyattrs )
|
||||
else:
|
||||
self.body( )
|
||||
if header is not None:
|
||||
self.content.append( header )
|
||||
if footer is not None:
|
||||
self.footer.append( footer )
|
||||
|
||||
elif self.mode == 'xml':
|
||||
if doctype is None:
|
||||
if encoding is not None:
|
||||
doctype = "<?xml version='1.0' encoding='%s' ?>" % encoding
|
||||
else:
|
||||
doctype = "<?xml version='1.0' ?>"
|
||||
self.header.append( doctype )
|
||||
|
||||
def css( self, filelist ):
|
||||
"""This convenience function is only useful for html.
|
||||
It adds css stylesheet(s) to the document via the <link> element."""
|
||||
|
||||
if isinstance( filelist, basestring ):
|
||||
self.link( href=filelist, rel='stylesheet', type='text/css', media='all' )
|
||||
else:
|
||||
for file in filelist:
|
||||
self.link( href=file, rel='stylesheet', type='text/css', media='all' )
|
||||
|
||||
def metainfo( self, mydict ):
|
||||
"""This convenience function is only useful for html.
|
||||
It adds meta information via the <meta> element, the argument is
|
||||
a dictionary of the form { 'name':'content' }."""
|
||||
|
||||
if isinstance( mydict, dict ):
|
||||
for name, content in mydict.iteritems( ):
|
||||
self.meta( name=name, content=content )
|
||||
else:
|
||||
raise TypeError ("Metainfo should be called with a dictionary argument of name:content pairs.")
|
||||
|
||||
def scripts( self, mydict ):
|
||||
"""Only useful in html, mydict is dictionary of src:type pairs will
|
||||
be rendered as <script type='text/type' src=src></script>"""
|
||||
|
||||
if isinstance( mydict, dict ):
|
||||
for src, type in mydict.iteritems( ):
|
||||
self.script( '', src=src, type='text/%s' % type )
|
||||
else:
|
||||
raise TypeError ("Script should be given a dictionary of src:type pairs.")
|
||||
|
||||
|
||||
class _oneliner:
|
||||
"""An instance of oneliner returns a string corresponding to one element.
|
||||
This class can be used to write 'oneliners' that return a string
|
||||
immediately so there is no need to instantiate the page class."""
|
||||
|
||||
def __init__( self, case='lower' ):
|
||||
self.case = case
|
||||
|
||||
def __getattr__( self, attr ):
|
||||
if attr.startswith("__") and attr.endswith("__"):
|
||||
raise AttributeError(attr)
|
||||
return element( attr, case=self.case, parent=None )
|
||||
|
||||
oneliner = _oneliner( case='lower' )
|
||||
upper_oneliner = _oneliner( case='upper' )
|
||||
|
||||
def _argsdicts( args, mydict ):
|
||||
"""A utility generator that pads argument list and dictionary values, will only be called with len( args ) = 0, 1."""
|
||||
|
||||
if len( args ) == 0:
|
||||
args = None,
|
||||
elif len( args ) == 1:
|
||||
args = _totuple( args[0] )
|
||||
else:
|
||||
raise Exception("We should have never gotten here.")
|
||||
|
||||
mykeys = mydict.keys( )
|
||||
myvalues = map( _totuple, mydict.values( ) )
|
||||
|
||||
maxlength = max( map( len, [ args ] + myvalues ) )
|
||||
|
||||
for i in xrange( maxlength ):
|
||||
thisdict = { }
|
||||
for key, value in zip( mykeys, myvalues ):
|
||||
try:
|
||||
thisdict[ key ] = value[i]
|
||||
except IndexError:
|
||||
thisdict[ key ] = value[-1]
|
||||
try:
|
||||
thisarg = args[i]
|
||||
except IndexError:
|
||||
thisarg = args[-1]
|
||||
|
||||
yield thisarg, thisdict
|
||||
|
||||
def _totuple( x ):
|
||||
"""Utility stuff to convert string, int, float, None or anything to a usable tuple."""
|
||||
|
||||
if isinstance( x, basestring ):
|
||||
out = x,
|
||||
elif isinstance( x, ( int, float ) ):
|
||||
out = str( x ),
|
||||
elif x is None:
|
||||
out = None,
|
||||
else:
|
||||
out = tuple( x )
|
||||
|
||||
return out
|
||||
|
||||
def escape( text, newline=False ):
|
||||
"""Escape special html characters."""
|
||||
|
||||
if isinstance( text, basestring ):
|
||||
if '&' in text:
|
||||
text = text.replace( '&', '&' )
|
||||
if '>' in text:
|
||||
text = text.replace( '>', '>' )
|
||||
if '<' in text:
|
||||
text = text.replace( '<', '<' )
|
||||
if '\"' in text:
|
||||
text = text.replace( '\"', '"' )
|
||||
if '\'' in text:
|
||||
text = text.replace( '\'', '"' )
|
||||
if newline:
|
||||
if '\n' in text:
|
||||
text = text.replace( '\n', '<br>' )
|
||||
|
||||
return text
|
||||
|
||||
_escape = escape
|
||||
|
||||
def unescape( text ):
|
||||
"""Inverse of escape."""
|
||||
|
||||
if isinstance( text, basestring ):
|
||||
if '&' in text:
|
||||
text = text.replace( '&', '&' )
|
||||
if '>' in text:
|
||||
text = text.replace( '>', '>' )
|
||||
if '<' in text:
|
||||
text = text.replace( '<', '<' )
|
||||
if '"' in text:
|
||||
text = text.replace( '"', '\"' )
|
||||
|
||||
return text
|
||||
|
||||
class dummy:
|
||||
"""A dummy class for attaching attributes."""
|
||||
pass
|
||||
|
||||
doctype = dummy( )
|
||||
doctype.frameset = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Frameset//EN' 'http://www.w3.org/TR/html4/frameset.dtd'>"
|
||||
doctype.strict = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01//EN' 'http://www.w3.org/TR/html4/strict.dtd'>"
|
||||
doctype.loose = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN' 'http://www.w3.org/TR/html4/loose.dtd'>"
|
||||
|
||||
class russell:
|
||||
"""A dummy class that contains anything."""
|
||||
|
||||
def __contains__( self, item ):
|
||||
return True
|
||||
|
||||
|
||||
class MarkupError( Exception ):
|
||||
"""All our exceptions subclass this."""
|
||||
def __str__( self ):
|
||||
return self.message
|
||||
|
||||
class ClosingError( MarkupError ):
|
||||
def __init__( self, tag ):
|
||||
self.message = "The element '%s' does not accept non-keyword arguments (has no closing tag)." % tag
|
||||
|
||||
class OpeningError( MarkupError ):
|
||||
def __init__( self, tag ):
|
||||
self.message = "The element '%s' can not be opened." % tag
|
||||
|
||||
class ArgumentError( MarkupError ):
|
||||
def __init__( self, tag ):
|
||||
self.message = "The element '%s' was called with more than one non-keyword argument." % tag
|
||||
|
||||
class InvalidElementError( MarkupError ):
|
||||
def __init__( self, tag, mode ):
|
||||
self.message = "The element '%s' is not valid for your mode '%s'." % ( tag, mode )
|
||||
|
||||
class DeprecationError( MarkupError ):
|
||||
def __init__( self, tag ):
|
||||
self.message = "The element '%s' is deprecated, instantiate markup.page with mode='loose_html' to allow it." % tag
|
||||
|
||||
class ModeError( MarkupError ):
|
||||
def __init__( self, mode ):
|
||||
self.message = "Mode '%s' is invalid, possible values: strict_html, loose_html, xml." % mode
|
||||
|
||||
class CustomizationError( MarkupError ):
|
||||
def __init__( self ):
|
||||
self.message = "If you customize the allowed elements, you must define both types 'onetags' and 'twotags'."
|
||||
|
||||
if __name__ == '__main__':
|
||||
print (__doc__)
|
||||
@@ -0,0 +1,484 @@
|
||||
# This code is in the public domain, it comes
|
||||
# with absolutely no warranty and you can do
|
||||
# absolutely whatever you want with it.
|
||||
|
||||
__date__ = '17 May 2007'
|
||||
__version__ = '1.7'
|
||||
__doc__= """
|
||||
This is markup.py - a Python module that attempts to
|
||||
make it easier to generate HTML/XML from a Python program
|
||||
in an intuitive, lightweight, customizable and pythonic way.
|
||||
|
||||
The code is in the public domain.
|
||||
|
||||
Version: %s as of %s.
|
||||
|
||||
Documentation and further info is at http://markup.sourceforge.net/
|
||||
|
||||
Please send bug reports, feature requests, enhancement
|
||||
ideas or questions to nogradi at gmail dot com.
|
||||
|
||||
Installation: drop markup.py somewhere into your Python path.
|
||||
""" % ( __version__, __date__ )
|
||||
|
||||
import string
|
||||
|
||||
class element:
|
||||
"""This class handles the addition of a new element."""
|
||||
|
||||
def __init__( self, tag, case='lower', parent=None ):
|
||||
self.parent = parent
|
||||
|
||||
if case == 'lower':
|
||||
self.tag = tag.lower( )
|
||||
else:
|
||||
self.tag = tag.upper( )
|
||||
|
||||
def __call__( self, *args, **kwargs ):
|
||||
if len( args ) > 1:
|
||||
raise ArgumentError( self.tag )
|
||||
|
||||
# if class_ was defined in parent it should be added to every element
|
||||
if self.parent is not None and self.parent.class_ is not None:
|
||||
if 'class_' not in kwargs:
|
||||
kwargs['class_'] = self.parent.class_
|
||||
|
||||
if self.parent is None and len( args ) == 1:
|
||||
x = [ self.render( self.tag, False, myarg, mydict ) for myarg, mydict in _argsdicts( args, kwargs ) ]
|
||||
return '\n'.join( x )
|
||||
elif self.parent is None and len( args ) == 0:
|
||||
x = [ self.render( self.tag, True, myarg, mydict ) for myarg, mydict in _argsdicts( args, kwargs ) ]
|
||||
return '\n'.join( x )
|
||||
|
||||
if self.tag in self.parent.twotags:
|
||||
for myarg, mydict in _argsdicts( args, kwargs ):
|
||||
self.render( self.tag, False, myarg, mydict )
|
||||
elif self.tag in self.parent.onetags:
|
||||
if len( args ) == 0:
|
||||
for myarg, mydict in _argsdicts( args, kwargs ):
|
||||
self.render( self.tag, True, myarg, mydict ) # here myarg is always None, because len( args ) = 0
|
||||
else:
|
||||
raise ClosingError( self.tag )
|
||||
elif self.parent.mode == 'strict_html' and self.tag in self.parent.deptags:
|
||||
raise DeprecationError( self.tag )
|
||||
else:
|
||||
raise InvalidElementError( self.tag, self.parent.mode )
|
||||
|
||||
def render( self, tag, single, between, kwargs ):
|
||||
"""Append the actual tags to content."""
|
||||
|
||||
out = "<%s" % tag
|
||||
for key, value in kwargs.items( ):
|
||||
if value is not None: # when value is None that means stuff like <... checked>
|
||||
key = key.strip('_') # strip this so class_ will mean class, etc.
|
||||
if key == 'http_equiv': # special cases, maybe change _ to - overall?
|
||||
key = 'http-equiv'
|
||||
elif key == 'accept_charset':
|
||||
key = 'accept-charset'
|
||||
out = "%s %s=\"%s\"" % ( out, key, escape( value ) )
|
||||
else:
|
||||
out = "%s %s" % ( out, key )
|
||||
if between is not None:
|
||||
out = "%s>%s</%s>" % ( out, between, tag )
|
||||
else:
|
||||
if single:
|
||||
out = "%s />" % out
|
||||
else:
|
||||
out = "%s>" % out
|
||||
if self.parent is not None:
|
||||
self.parent.content.append( out )
|
||||
else:
|
||||
return out
|
||||
|
||||
def close( self ):
|
||||
"""Append a closing tag unless element has only opening tag."""
|
||||
|
||||
if self.tag in self.parent.twotags:
|
||||
self.parent.content.append( "</%s>" % self.tag )
|
||||
elif self.tag in self.parent.onetags:
|
||||
raise ClosingError( self.tag )
|
||||
elif self.parent.mode == 'strict_html' and self.tag in self.parent.deptags:
|
||||
raise DeprecationError( self.tag )
|
||||
|
||||
def open( self, **kwargs ):
|
||||
"""Append an opening tag."""
|
||||
|
||||
if self.tag in self.parent.twotags or self.tag in self.parent.onetags:
|
||||
self.render( self.tag, False, None, kwargs )
|
||||
elif self.mode == 'strict_html' and self.tag in self.parent.deptags:
|
||||
raise DeprecationError( self.tag )
|
||||
|
||||
class page:
|
||||
"""This is our main class representing a document. Elements are added
|
||||
as attributes of an instance of this class."""
|
||||
|
||||
def __init__( self, mode='strict_html', case='lower', onetags=None, twotags=None, separator='\n', class_=None ):
|
||||
"""Stuff that effects the whole document.
|
||||
|
||||
mode -- 'strict_html' for HTML 4.01 (default)
|
||||
'html' alias for 'strict_html'
|
||||
'loose_html' to allow some deprecated elements
|
||||
'xml' to allow arbitrary elements
|
||||
|
||||
case -- 'lower' element names will be printed in lower case (default)
|
||||
'upper' they will be printed in upper case
|
||||
|
||||
onetags -- list or tuple of valid elements with opening tags only
|
||||
twotags -- list or tuple of valid elements with both opening and closing tags
|
||||
these two keyword arguments may be used to select
|
||||
the set of valid elements in 'xml' mode
|
||||
invalid elements will raise appropriate exceptions
|
||||
|
||||
separator -- string to place between added elements, defaults to newline
|
||||
|
||||
class_ -- a class that will be added to every element if defined"""
|
||||
|
||||
valid_onetags = [ "AREA", "BASE", "BR", "COL", "FRAME", "HR", "IMG", "INPUT", "LINK", "META", "PARAM" ]
|
||||
valid_twotags = [ "A", "ABBR", "ACRONYM", "ADDRESS", "B", "BDO", "BIG", "BLOCKQUOTE", "BODY", "BUTTON",
|
||||
"CAPTION", "CITE", "CODE", "COLGROUP", "DD", "DEL", "DFN", "DIV", "DL", "DT", "EM", "FIELDSET",
|
||||
"FORM", "FRAMESET", "H1", "H2", "H3", "H4", "H5", "H6", "HEAD", "HTML", "I", "IFRAME", "INS",
|
||||
"KBD", "LABEL", "LEGEND", "LI", "MAP", "NOFRAMES", "NOSCRIPT", "OBJECT", "OL", "OPTGROUP",
|
||||
"OPTION", "P", "PRE", "Q", "SAMP", "SCRIPT", "SELECT", "SMALL", "SPAN", "STRONG", "STYLE",
|
||||
"SUB", "SUP", "TABLE", "TBODY", "TD", "TEXTAREA", "TFOOT", "TH", "THEAD", "TITLE", "TR",
|
||||
"TT", "UL", "VAR" ]
|
||||
deprecated_onetags = [ "BASEFONT", "ISINDEX" ]
|
||||
deprecated_twotags = [ "APPLET", "CENTER", "DIR", "FONT", "MENU", "S", "STRIKE", "U" ]
|
||||
|
||||
self.header = [ ]
|
||||
self.content = [ ]
|
||||
self.footer = [ ]
|
||||
self.case = case
|
||||
self.separator = separator
|
||||
|
||||
# init( ) sets it to True so we know that </body></html> has to be printed at the end
|
||||
self._full = False
|
||||
self.class_= class_
|
||||
|
||||
if mode == 'strict_html' or mode == 'html':
|
||||
self.onetags = valid_onetags
|
||||
self.onetags += list(map( str.lower, self.onetags ))
|
||||
self.twotags = valid_twotags
|
||||
self.twotags += list(map( str.lower, self.twotags ))
|
||||
self.deptags = deprecated_onetags + deprecated_twotags
|
||||
self.deptags += list(map( str.lower, self.deptags ))
|
||||
self.mode = 'strict_html'
|
||||
elif mode == 'loose_html':
|
||||
self.onetags = valid_onetags + deprecated_onetags
|
||||
self.onetags += list(map( str.lower, self.onetags ))
|
||||
self.twotags = valid_twotags + deprecated_twotags
|
||||
self.twotags += list(map( str.lower, self.twotags ))
|
||||
self.mode = mode
|
||||
elif mode == 'xml':
|
||||
if onetags and twotags:
|
||||
self.onetags = onetags
|
||||
self.twotags = twotags
|
||||
elif ( onetags and not twotags ) or ( twotags and not onetags ):
|
||||
raise CustomizationError( )
|
||||
else:
|
||||
self.onetags = russell( )
|
||||
self.twotags = russell( )
|
||||
self.mode = mode
|
||||
else:
|
||||
raise ModeError( mode )
|
||||
|
||||
def __getattr__( self, attr ):
|
||||
if attr.startswith("__") and attr.endswith("__"):
|
||||
raise AttributeError(attr)
|
||||
return element( attr, case=self.case, parent=self )
|
||||
|
||||
def __str__( self ):
|
||||
|
||||
if self._full and ( self.mode == 'strict_html' or self.mode == 'loose_html' ):
|
||||
end = [ '</body>', '</html>' ]
|
||||
else:
|
||||
end = [ ]
|
||||
|
||||
return self.separator.join( self.header + self.content + self.footer + end )
|
||||
|
||||
def __call__( self, escape=False ):
|
||||
"""Return the document as a string.
|
||||
|
||||
escape -- False print normally
|
||||
True replace < and > by < and >
|
||||
the default escape sequences in most browsers"""
|
||||
|
||||
if escape:
|
||||
return _escape( self.__str__( ) )
|
||||
else:
|
||||
return self.__str__( )
|
||||
|
||||
def add( self, text ):
|
||||
"""This is an alias to addcontent."""
|
||||
self.addcontent( text )
|
||||
|
||||
def addfooter( self, text ):
|
||||
"""Add some text to the bottom of the document"""
|
||||
self.footer.append( text )
|
||||
|
||||
def addheader( self, text ):
|
||||
"""Add some text to the top of the document"""
|
||||
self.header.append( text )
|
||||
|
||||
def addcontent( self, text ):
|
||||
"""Add some text to the main part of the document"""
|
||||
self.content.append( text )
|
||||
|
||||
|
||||
def init( self, lang='en', css=None, metainfo=None, title=None, header=None,
|
||||
footer=None, charset=None, encoding=None, doctype=None, bodyattrs=None, script=None ):
|
||||
"""This method is used for complete documents with appropriate
|
||||
doctype, encoding, title, etc information. For an HTML/XML snippet
|
||||
omit this method.
|
||||
|
||||
lang -- language, usually a two character string, will appear
|
||||
as <html lang='en'> in html mode (ignored in xml mode)
|
||||
|
||||
css -- Cascading Style Sheet filename as a string or a list of
|
||||
strings for multiple css files (ignored in xml mode)
|
||||
|
||||
metainfo -- a dictionary in the form { 'name':'content' } to be inserted
|
||||
into meta element(s) as <meta name='name' content='content'>
|
||||
(ignored in xml mode)
|
||||
|
||||
bodyattrs --a dictionary in the form { 'key':'value', ... } which will be added
|
||||
as attributes of the <body> element as <body key='value' ... >
|
||||
(ignored in xml mode)
|
||||
|
||||
script -- dictionary containing src:type pairs, <script type='text/type' src=src></script>
|
||||
|
||||
title -- the title of the document as a string to be inserted into
|
||||
a title element as <title>my title</title> (ignored in xml mode)
|
||||
|
||||
header -- some text to be inserted right after the <body> element
|
||||
(ignored in xml mode)
|
||||
|
||||
footer -- some text to be inserted right before the </body> element
|
||||
(ignored in xml mode)
|
||||
|
||||
charset -- a string defining the character set, will be inserted into a
|
||||
<meta http-equiv='Content-Type' content='text/html; charset=myset'>
|
||||
element (ignored in xml mode)
|
||||
|
||||
encoding -- a string defining the encoding, will be put into to first line of
|
||||
the document as <?xml version='1.0' encoding='myencoding' ?> in
|
||||
xml mode (ignored in html mode)
|
||||
|
||||
doctype -- the document type string, defaults to
|
||||
<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN'>
|
||||
in html mode (ignored in xml mode)"""
|
||||
|
||||
self._full = True
|
||||
|
||||
if self.mode == 'strict_html' or self.mode == 'loose_html':
|
||||
if doctype is None:
|
||||
doctype = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN'>"
|
||||
self.header.append( doctype )
|
||||
self.html( lang=lang )
|
||||
self.head( )
|
||||
if charset is not None:
|
||||
self.meta( http_equiv='Content-Type', content="text/html; charset=%s" % charset )
|
||||
if metainfo is not None:
|
||||
self.metainfo( metainfo )
|
||||
if css is not None:
|
||||
self.css( css )
|
||||
if title is not None:
|
||||
self.title( title )
|
||||
if script is not None:
|
||||
self.scripts( script )
|
||||
self.head.close()
|
||||
if bodyattrs is not None:
|
||||
self.body( **bodyattrs )
|
||||
else:
|
||||
self.body( )
|
||||
if header is not None:
|
||||
self.content.append( header )
|
||||
if footer is not None:
|
||||
self.footer.append( footer )
|
||||
|
||||
elif self.mode == 'xml':
|
||||
if doctype is None:
|
||||
if encoding is not None:
|
||||
doctype = "<?xml version='1.0' encoding='%s' ?>" % encoding
|
||||
else:
|
||||
doctype = "<?xml version='1.0' ?>"
|
||||
self.header.append( doctype )
|
||||
|
||||
def css( self, filelist ):
|
||||
"""This convenience function is only useful for html.
|
||||
It adds css stylesheet(s) to the document via the <link> element."""
|
||||
|
||||
if isinstance( filelist, str ):
|
||||
self.link( href=filelist, rel='stylesheet', type='text/css', media='all' )
|
||||
else:
|
||||
for file in filelist:
|
||||
self.link( href=file, rel='stylesheet', type='text/css', media='all' )
|
||||
|
||||
def metainfo( self, mydict ):
|
||||
"""This convenience function is only useful for html.
|
||||
It adds meta information via the <meta> element, the argument is
|
||||
a dictionary of the form { 'name':'content' }."""
|
||||
|
||||
if isinstance( mydict, dict ):
|
||||
for name, content in mydict.items( ):
|
||||
self.meta( name=name, content=content )
|
||||
else:
|
||||
raise TypeError("Metainfo should be called with a dictionary argument of name:content pairs.")
|
||||
|
||||
def scripts( self, mydict ):
|
||||
"""Only useful in html, mydict is dictionary of src:type pairs will
|
||||
be rendered as <script type='text/type' src=src></script>"""
|
||||
|
||||
if isinstance( mydict, dict ):
|
||||
for src, type in mydict.items( ):
|
||||
self.script( '', src=src, type='text/%s' % type )
|
||||
else:
|
||||
raise TypeError("Script should be given a dictionary of src:type pairs.")
|
||||
|
||||
|
||||
class _oneliner:
|
||||
"""An instance of oneliner returns a string corresponding to one element.
|
||||
This class can be used to write 'oneliners' that return a string
|
||||
immediately so there is no need to instantiate the page class."""
|
||||
|
||||
def __init__( self, case='lower' ):
|
||||
self.case = case
|
||||
|
||||
def __getattr__( self, attr ):
|
||||
if attr.startswith("__") and attr.endswith("__"):
|
||||
raise AttributeError(attr)
|
||||
return element( attr, case=self.case, parent=None )
|
||||
|
||||
oneliner = _oneliner( case='lower' )
|
||||
upper_oneliner = _oneliner( case='upper' )
|
||||
|
||||
def _argsdicts( args, mydict ):
|
||||
"""A utility generator that pads argument list and dictionary values, will only be called with len( args ) = 0, 1."""
|
||||
|
||||
if len( args ) == 0:
|
||||
args = None,
|
||||
elif len( args ) == 1:
|
||||
args = _totuple( args[0] )
|
||||
else:
|
||||
raise Exception("We should have never gotten here.")
|
||||
|
||||
mykeys = list(mydict.keys( ))
|
||||
myvalues = list(map( _totuple, list(mydict.values( )) ))
|
||||
|
||||
maxlength = max( list(map( len, [ args ] + myvalues )) )
|
||||
|
||||
for i in range( maxlength ):
|
||||
thisdict = { }
|
||||
for key, value in zip( mykeys, myvalues ):
|
||||
try:
|
||||
thisdict[ key ] = value[i]
|
||||
except IndexError:
|
||||
thisdict[ key ] = value[-1]
|
||||
try:
|
||||
thisarg = args[i]
|
||||
except IndexError:
|
||||
thisarg = args[-1]
|
||||
|
||||
yield thisarg, thisdict
|
||||
|
||||
def _totuple( x ):
|
||||
"""Utility stuff to convert string, int, float, None or anything to a usable tuple."""
|
||||
|
||||
if isinstance( x, str ):
|
||||
out = x,
|
||||
elif isinstance( x, ( int, float ) ):
|
||||
out = str( x ),
|
||||
elif x is None:
|
||||
out = None,
|
||||
else:
|
||||
out = tuple( x )
|
||||
|
||||
return out
|
||||
|
||||
def escape( text, newline=False ):
|
||||
"""Escape special html characters."""
|
||||
|
||||
if isinstance( text, str ):
|
||||
if '&' in text:
|
||||
text = text.replace( '&', '&' )
|
||||
if '>' in text:
|
||||
text = text.replace( '>', '>' )
|
||||
if '<' in text:
|
||||
text = text.replace( '<', '<' )
|
||||
if '\"' in text:
|
||||
text = text.replace( '\"', '"' )
|
||||
if '\'' in text:
|
||||
text = text.replace( '\'', '"' )
|
||||
if newline:
|
||||
if '\n' in text:
|
||||
text = text.replace( '\n', '<br>' )
|
||||
|
||||
return text
|
||||
|
||||
_escape = escape
|
||||
|
||||
def unescape( text ):
|
||||
"""Inverse of escape."""
|
||||
|
||||
if isinstance( text, str ):
|
||||
if '&' in text:
|
||||
text = text.replace( '&', '&' )
|
||||
if '>' in text:
|
||||
text = text.replace( '>', '>' )
|
||||
if '<' in text:
|
||||
text = text.replace( '<', '<' )
|
||||
if '"' in text:
|
||||
text = text.replace( '"', '\"' )
|
||||
|
||||
return text
|
||||
|
||||
class dummy:
|
||||
"""A dummy class for attaching attributes."""
|
||||
pass
|
||||
|
||||
doctype = dummy( )
|
||||
doctype.frameset = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Frameset//EN' 'http://www.w3.org/TR/html4/frameset.dtd'>"
|
||||
doctype.strict = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01//EN' 'http://www.w3.org/TR/html4/strict.dtd'>"
|
||||
doctype.loose = "<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01 Transitional//EN' 'http://www.w3.org/TR/html4/loose.dtd'>"
|
||||
|
||||
class russell:
|
||||
"""A dummy class that contains anything."""
|
||||
|
||||
def __contains__( self, item ):
|
||||
return True
|
||||
|
||||
|
||||
class MarkupError( Exception ):
|
||||
"""All our exceptions subclass this."""
|
||||
def __str__( self ):
|
||||
return self.message
|
||||
|
||||
class ClosingError( MarkupError ):
|
||||
def __init__( self, tag ):
|
||||
self.message = "The element '%s' does not accept non-keyword arguments (has no closing tag)." % tag
|
||||
|
||||
class OpeningError( MarkupError ):
|
||||
def __init__( self, tag ):
|
||||
self.message = "The element '%s' can not be opened." % tag
|
||||
|
||||
class ArgumentError( MarkupError ):
|
||||
def __init__( self, tag ):
|
||||
self.message = "The element '%s' was called with more than one non-keyword argument." % tag
|
||||
|
||||
class InvalidElementError( MarkupError ):
|
||||
def __init__( self, tag, mode ):
|
||||
self.message = "The element '%s' is not valid for your mode '%s'." % ( tag, mode )
|
||||
|
||||
class DeprecationError( MarkupError ):
|
||||
def __init__( self, tag ):
|
||||
self.message = "The element '%s' is deprecated, instantiate markup.page with mode='loose_html' to allow it." % tag
|
||||
|
||||
class ModeError( MarkupError ):
|
||||
def __init__( self, mode ):
|
||||
self.message = "Mode '%s' is invalid, possible values: strict_html, loose_html, xml." % mode
|
||||
|
||||
class CustomizationError( MarkupError ):
|
||||
def __init__( self ):
|
||||
self.message = "If you customize the allowed elements, you must define both types 'onetags' and 'twotags'."
|
||||
|
||||
if __name__ == '__main__':
|
||||
print(__doc__)
|
||||
@@ -0,0 +1,24 @@
|
||||
from __future__ import division
|
||||
|
||||
|
||||
def median(data):
|
||||
"""
|
||||
Return the median (middle value) of numeric data, using the common
|
||||
"mean of middle two" method. If data is empty, ValueError is raised.
|
||||
|
||||
Mimics the behaviour of Python3's statistics.median
|
||||
|
||||
>>> median([1, 3, 5])
|
||||
3
|
||||
>>> median([1, 3, 5, 7])
|
||||
4.0
|
||||
|
||||
"""
|
||||
data = sorted(data)
|
||||
n = len(data)
|
||||
if not n:
|
||||
raise ValueError("No median for empty data")
|
||||
i = n // 2
|
||||
if n % 2:
|
||||
return data[i]
|
||||
return (data[i - 1] + data[i]) / 2
|
||||
+925
-233
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user