[NEW] python-xbrl | xbrl in excel เวอร์ชั่น 1.1 download – NATAVIGUIDES

python-xbrl is a library for parsing
xbrl
documents providing output as both a basic model object and serialized
objects thur
marshmallow for
rendering into standards formats like JSON or HTTP API

Installation

The easiest way to install python-xbrl is with pip

pip install python-xbrl

Or install the latest dev version from github (or replace @master with a
release vergitsion like @v1.1.0)

pip install git+https://github.com/greedo/python-xbrl.git@master

Or

git clone https://github.com/greedo/python-xbrl.git

Or

Copy the python-xbrl directory into your python path. Zip
here

Made sure your sys.path is correct.

Requirements

• Python >= 2.6 or >= 3.3

python-xbrl relies on beautifulsoup4
which sits on top of the python XML parser lxml. It also requires
marshmallow for serializing objects.
For more details see requirements.txt

For PyPI support it is recommended you use https://github.com/amauryfa/lxml for lxml as this is a fork that uses cffi instead of the python capi.

Initialization

To start using the library, first import the XBRLParser

from xbrl import XBRLParser, GAAP, GAAPSerializer

Simple Parsing Workflow

First parse the incoming XRBL file into a new XBRL basic object

xbrl_parser = XBRLParser()
xbrl = xbrl_parser.parse(file("sam-20131228.xml"))

Then you can parse the document using different parsers

gaap_obj = xbrl_parser.parseGAAP(xbrl, doc_date="20131228", context="current", ignore_errors=0)

Now we have a GAAP model object that has the GAAP parsed elements
from the document.

This model object supports the several different features including:

• context current, year, and instant contexts are supported. If available you can also get previous quarter information by number of days from doc date. Example: 90, 180, etc.
• Error handling. 0 raise exception for all parsing errors and halt parsing, 1 Supress all parsing errors and continue parsing, 2 Log all parsing errors and continue parsing

You can serialize the GAAP model object into a serialized object
acceptable for rending into a standard format such as JSON or HTTP API.

serializer = GAAPSerializer()
result = serializer.dump(gaap_obj)

You can also just view the data in the serialized object

print result.data

You can apply various parsers to the base XBRLParser object to get
different data than just GAAP data from the document. In addition as
expected you can also create different serialized objects on the
resulting parsed data object.

Extracting DEI Data

dei_obj = xbrl_parser.parseDEI(xbrl)
serializer = DEISerializer()
result = serializer.dump(dei_obj)

Extracting Custom Data

custom_obj = xbrl_parser.parseCustom(xbrl)
print custom_obj()

Testing

To run the unit tests, you need pytest

pip install pytest

Once you have that, cd into the root directory of this repo and

py.test --tb=line -vs

Bugs

For any bugs you encounter please open a Github
issue

Contribute

1. Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug.
2. If you feel uncomfortable or uncertain about an issue or your changes, feel free to email @greedo and he will happily help you via email, Skype, remote pairing or whatever you are comfortable with.
3. Fork the repository on GitHub to start making your changes to the master branch (or branch off of it).
4. Write a test which shows that the bug was fixed or that the feature works as expected.
5. Send a pull request and bug the maintainer until it gets merged and published. 🙂 Make sure to add yourself to AUTHORS.

License

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.  The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License.  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the license.

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