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analyzerePythonTools-0.1.5


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توضیحات

Python extras to support the analyzere package
ویژگی مقدار
سیستم عامل -
نام فایل analyzerePythonTools-0.1.5
نام analyzerePythonTools
نسخه کتابخانه 0.1.5
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Analyze Re
ایمیل نویسنده support@analyzere.com
آدرس صفحه اصلی https://github.com/analyzere/analyzere-python-extras
آدرس اینترنتی https://pypi.org/project/analyzerePythonTools/
مجوز MIT
Analyzere Python Client Extras |travis| |Code Health| ====================================================== An extension to the analyzere python library that facilitates "extras" including visualizations of Analyze Re LayerView objects. .. |travis| image:: https://travis-ci.org/analyzere/analyzere-python-extras.svg?branch=master :alt: Travis-CI Build Status :target: https://travis-ci.org/analyzere/analyzere-python-extras .. |Code Health| image:: https://landscape.io/github/analyzere/analyzere-python-extras/master/landscape.svg?style=flat :target: https://landscape.io/github/analyzere/analyzere-python-extras/master :alt: Code Health Installation ------------ :: pip install analyzerePythonTools Graphing Options ---------------- This graphing utility provides some methods of controlling the style and format of the rendered image. rankdir='XX' Option that controls the orientation of the graph. Options include: - 'BT' bottom to top (default) - 'TB' top to bottom - 'LR' left to right - 'RL' right to left compact=True|False Controls if duplicate nodes should be omitted (default=True). This option tends to produce smaller graphs, which should be easier to read. with_terms=True|False Specify that a Layer's terms are included in each node of the graph (default=True). warnings=True|False Highlight nodes with suspicious terms by coloring the node red. Warning nodes are generated when any of the following conditions are true: - ``participation = 0.0`` - ``invert = true`` and ``filters = []`` - ``attachment`` or ``aggregate_attachment`` = unlimited max_depth=0 The maximum depth of the graph to process. For very deeply nested structures this can reduce the size. (default=0 == all levels). max_sources=0 The maximum number of Loss sources to graph in detail for a single node. (default=0 == all sources). colors=[1-12] The number of colors to be used when coloring nodes and edges. (default=1 == black, max=12). color_mode=['breadth'|'depth'] The mode to use when applying colors. Options include: ['breadth', 'depth'], default: 'breadth'. **Sample LayerView Images:** +------------------------------------------------+-----------------------------------------------------------------------------------------------------+ | ``LayerViewDigraph(lv, ...)`` | ``render(...)`` | +--------------+-----------------+---------------+--------------------------------------------------+--------------------------------------------------+ | ``compact=`` | ``with_terms=`` | ``warnings=`` | ``rankdir='BT'`` | ``rankdir='LR'`` | +==============+=================+===============+==================================================+==================================================+ | *True* | *True* | *True* | |BT_compact_with-terms_warnings-enabled| | |LR_compact_with-terms_warnings-enabled| | +--------------+-----------------+---------------+--------------------------------------------------+--------------------------------------------------+ | *True* | *True* | **False** | |BT_compact_with-terms_warnings-disabled| | |LR_compact_with-terms_warnings-disabled| | +--------------+-----------------+---------------+--------------------------------------------------+--------------------------------------------------+ | *True* | **False** | *True* | |BT_compact_without-terms_warnings-enabled| | |LR_compact_without-terms_warnings-enabled| | +--------------+-----------------+---------------+--------------------------------------------------+--------------------------------------------------+ | **False** | **False** | **False** | |BT_not-compact_without-terms_warnings-disabled| | |LR_not-compact_without-terms_warnings-disabled| | +--------------+-----------------+---------------+--------------------------------------------------+--------------------------------------------------+ .. |BT_compact_with-terms_warnings-enabled| image:: /examples/BT_compact_with-terms_warnings-enabled.png :width: 40pt .. |LR_compact_with-terms_warnings-enabled| image:: /examples/LR_compact_with-terms_warnings-enabled.png :width: 40pt .. |BT_compact_with-terms_warnings-disabled| image:: /examples/BT_compact_with-terms_warnings-disabled.png :width: 40pt .. |LR_compact_with-terms_warnings-disabled| image:: /examples/LR_compact_with-terms_warnings-disabled.png :width: 40pt .. |BT_compact_without-terms_warnings-enabled| image:: /examples/BT_compact_without-terms_warnings-enabled.png :width: 40pt .. |LR_compact_without-terms_warnings-enabled| image:: /examples/LR_compact_without-terms_warnings-enabled.png :width: 40pt .. |BT_not-compact_without-terms_warnings-disabled| image:: /examples/BT_not-compact_without-terms_warnings-disabled.png :width: 40pt .. |LR_not-compact_without-terms_warnings-disabled| image:: /examples/LR_not-compact_without-terms_warnings-disabled.png :width: 40pt **Colorization:** +------------------------------------------------+-------------------------------------------------------------------+ | ``LayerViewDigraph(lv, ...)`` | ``render(...)`` | +--------------+-------------+-------------------+-------------------------------------------------------------------+ | ``compact=`` | ``colors=`` | ``color_mode=`` | ``rankdir='BT'`` | +==============+=============+===================+===================================================================+ | *True* | **4** | *breadth* | |BT_compact_with-terms_warnings-disabled_4-colors-by-breadth| | +--------------+-------------+-------------------+-------------------------------------------------------------------+ | *True* | **4** | **depth** | |BT_compact_with-terms_warnings-disabled_4-colors-by-depth| | +--------------+-------------+-------------------+-------------------------------------------------------------------+ | **False** | **4** | *breadth* | |BT_not-compact_with-terms_warnings-disabled_4-colors-by-breadth| | +--------------+-------------+-------------------+-------------------------------------------------------------------+ | **False** | **4** | **depth** | |BT_not-compact_with-terms_warnings-disabled_4-colors-by-depth| | +--------------+-------------+-------------------+-------------------------------------------------------------------+ .. |BT_compact_with-terms_warnings-disabled_4-colors-by-breadth| image:: /examples/BT_compact_with-terms_warnings-disabled_4-colors-by-breadth.png :width: 40pt .. |BT_compact_with-terms_warnings-disabled_4-colors-by-depth| image:: /examples/BT_compact_with-terms_warnings-disabled_4-colors-by-depth.png :width: 40pt .. |BT_not-compact_with-terms_warnings-disabled_4-colors-by-breadth| image:: /examples/BT_not-compact_with-terms_warnings-disabled_4-colors-by-breadth.png :width: 40pt .. |BT_not-compact_with-terms_warnings-disabled_4-colors-by-depth| image:: /examples/BT_not-compact_with-terms_warnings-disabled_4-colors-by-depth.png :width: 40pt Usage ----- In order to make use of the tools in the `analyzere-tool-extra` module you will need to import the `analyzere` module. You will need to define your connection information:: import analyzere analyzere.base_url = '<your server url>' analyzere.username = '<your userid>' analyzere.password = '<your password>' Visualization ~~~~~~~~~~~~~ To make use of the visualization tool, you will need to query a LayerView that you would like to graph:: from analyzere import LayerView lv = analyzere.LayerView.retrieve('011785b1-203b-696e-424e-7da9b0ec779a') Now you can generate a graph of your LayerView:: from analyzere-tool-extra.visualizations import LayerViewDigraph g = LayerViewDigraph(lv) # defaults: with_terms=True, compact=True, rankdir='TB', warnings=True g = LayerViewDigraph(lv, with_terms=False) # omit Layer terms from nodes g = LayerViewDigraph(lv, compact=False) # graph duplicate nodes g = LayerViewDigraph(lv, rankdir='LR') # render the graph from Left to Right g = LayerViewDigraph(lv, warnings=False) # disable error node highlighting Then to render your graph:: g.render() # defaults: filename=None, view=True, format=None, rankdir=None g.render(filename='mygraph') # write graph to 'mygraph' g.render(view=True) # attempt to auto display the graph g.render(format='pdf') # change the output format 'pdf' g.render(rankdir='LR') # render the graph from Left to Right Shortcut: generate a graph for a given LayerView Id:: graph = LayerViewDigraph.from_id('011785b1-203b-696e-424e-7da9b0ec779a') ELT Combination ~~~~~~~~~~~~~~~ To make use of the ELT combiner tool, you will need to define the list of uuids representing the resources with ELTs that you would like to combine:: uuid_list = ['26a8f73b-0fbb-46c7-8dcf-f4de1e222994', 'cd67ba03-302b-45e5-9341-a4267875c1f8'] You will need to indicate which catalog these ELTs correspond to:: catalog_uuid = '61378251-ce85-4b6e-a63c-f5d67c4e4877' Then to combine the ELTs into a single ELT:: from analyzerePythonTools.combine_elts import ELTCombiner elt_combiner = ELTCombiner() combined_elt = elt_combiner.combine_elts_from_resources( uuid_list, catalog_uuid, uuid_type='all', description='My Combined ELT' ) ``uuid_type`` specifies which the type of resources in ``uuid_list``. Valid values for ``uuid_type`` are: - ``'Portfolio'`` - ``'PortfolioView'`` - ``'Layer'`` - ``'LayerView'`` - ``'LossSet'`` - ``'all'`` If ``uuid_type='all'`` is set, then the resources in ``uuid_list`` can be a mix of Portfolios, PortfolioViews, Layers, LayerViews, and LossSets. The default value of ``uuid_type`` is ``'all'``. ``description`` defines the description for the uploaded combined ELT. If not set, the default is ``'analyzerePythonTools: Combined ELT'``. Testing ------- We currently commit to being compatible with Python 2.7 and Python 3.4 to 3.7. In order to run tests against against each environment we use `tox <http://tox.readthedocs.org/>`_ and `py.test <http://pytest.org/>`_. You'll need an interpreter installed for each of the versions of Python we test. You can find these via your system's package manager or `on the Python site <https://www.python.org/downloads/>`_. To start, install tox:: pip install tox Then, run the full test suite:: tox To run tests for a specific module, test case, or single test, you can pass arguments to py.test through tox with ``--``. E.g.:: tox -- tests/test_base_resources.py::TestReferences::test_known_resource See ``tox --help`` and ``py.test --help`` for more information. Publishing ---------- 1. Install `twine <https://pypi.python.org/pypi/twine>`_ and `wheel <https://pypi.python.org/pypi/wheel>`_:: pip install twine wheel 2. Increment version number in ``setup.py`` according to `PEP 440 <https://www.python.org/dev/peps/pep-0440/>`_. 3. Commit your change to ``setup.py`` and create a tag for it with the version number. e.g.:: git tag 0.1.0 git push origin 0.1.0 4. Package source and wheel distributions:: python setup.py sdist bdist_wheel 5. Upload to PyPI with twine:: twine upload dist/*


نیازمندی

مقدار نام
<2,>=1.0 lazy-object-proxy
<3,>=2.3 requests
<2,>=1.9 six
<1,>=0.5.2 analyzere
<1,>=0.5.2 graphviz
>=2019.3.9<2020 certifi
>=3.3.0<4 futures


نحوه نصب


نصب پکیج whl analyzerePythonTools-0.1.5:

    pip install analyzerePythonTools-0.1.5.whl


نصب پکیج tar.gz analyzerePythonTools-0.1.5:

    pip install analyzerePythonTools-0.1.5.tar.gz