library for parsing xbrl documents
Project description
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
sudo pip install python-xbrl
Usage
If you really want to become familiar with this library, read the docstrings in the code.
Initialization
To start using the library, first import the XBRLParser
from xbrl import XBRLParser
Simple Parsing Workflow
First parse the incoming XRBL file into a new XBRL basic object
xbrl_parser = XBRLParser() xbrl = XBRLParser.parse(file("sam-20131228.xml"))
Then you can parse the document using different parsers
gaap_obj = XBRLParser.parseGAAP(xbrl, doc_date="20131228", doc_type="10-K", context="current")
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:
doc_type currently only 10-K and 10-Q is supported
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.
You can serialize the GAAP model object into a serialized object acceptable for rending into a standard format such as JSON or HTTP API.
serialized = GAAPSerializer(gaap_obj)
You can also just view the data in the serialized object
print serialized.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.
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
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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