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        "author": "Brutus",
        "author_email": "brutus.dmc@googlemail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Healthcare Industry",
            "License :: OSI Approved :: GNU General Public License (GPL)",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Topic :: Utilities"
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        "description": "=======\nBP Diag\n=======\n\n**BP Diag** parses blood preasure statistics from data files, generates some\nstatistics and prints them to *STDERR*. You can export the data (and the\ngathered statistics) to **JSON** (dump to *STDOUT*). And you can also generate\n**SVG** or **PNG** charts from it.\n\nTo see a list of possible command line options run::\n\n    bpdiag.py --help\n\n\nExamples\n========\n\nLets say we got a file called ``bp.csv`` containing the following values::\n\n    136/83/65, 132/82/70\n    144/82/86, 137/81/75, -,         143/80/68\n    131/82/60, 144/82/64, 136/79/67, 140/80/62\n    136/83/68, 138/80/99, -,         133/74/65\n    136/79/67, 131/76/64, 135/81/72, 136/75/61\n    127/79/72\n\n**BP Diag** first tries to split multiple entries on each line using the\nstring given with the ``--delimiter`` option (default is ``,``). Each entry\nfound  is then split into *sys*, *dia* and *pulse* values with the string\ngiven with the ``--seperator`` option (default: ``/``).\n\nSo if we run **BP Diag** on the file like this ``bpdiag.py bp.csv``, we got\nthe following results::\n\n    Read 17 value(s) from 1 file(s)...\n    Statistics (min, max, avg):\n    :: SYS...: 127, 144, 136\n    :: DIA...:  74,  83,  79\n    :: PULSE.:  60,  99,  69\n\nDump JSON\n---------\n\nAs you see parsing errors are ignored. We can dump JSON with the ``--json``\noption. Only the JSON dump is written to *STDOUT*, other output goes to\n*STDERR*, so we can redirect the dump to a file (use ``--compact`` to\nprevent spaces after ``,`` and ``:``)::\n\n    bpdiag.py --json --compact bp.csv > bp.json\n\nThe file ``bp.json`` will then contain one long line with the JSON data. You\ncan also dump the statistic gatherd from the data to JSON with the ``--json-\nstats`` option.  Use the ``--sort`` and ``--indent 2`` options if you want a\nmore readable output.\n\nGenerate Charts\n---------------\n\nTo generate SVG charts, you need to have PyGal_ installed (see below). Other\nthan that, just use the ``--chart`` option to have a chart called ``bp.svg``\ngenerated in your current directory. There are more options to this, take a\nlook at the ``--help`` output.\n\nInstead of the interactive SVG charts you can use PNG as output format. Just\nuse the ``--png`` option along with ``--chart``. You need a couple more\ndependencies for that though, take a look below.\n\nNumber of measurements per line\n-------------------------------\n\nPer default all values are gathered one after the other and parsing errors are\nignored. But you can use the ``--entries`` option to set a fixed number of\nmeasurements per line.\n\nWhat this means is that only that much values are used per line (even if there\nare more) and if a line contains less than *entries* values, the remaining\nones are filled with ``None`` values. Also values that conatin ``-`` (or any\nother combination of characters that does not parse to a three integer tuple)\nare not ignored but stored as a ``None`` value too.\n\nThis can be helpful in cases where you have a given number of measurements per\nline and you want to keep them aligned even if sometimes a measurement is\nskipped / missing.::\n\n    bpdiag.py --json --compact --entries 4 bp.csv\n\nWill result in the following JSON::\n\n    [[136,83,65],[132,82,70],null,null,[144,82,86],[137,81,75],null,[143,80,68],[131,82,60],[144,82,64],[136,79,67],[140,80,62],[136,83,68],[138,80,99],null,[133,74,65],[136,79,67],[131,76,64],[135,81,72],[136,75,61],[127,79,72],null,null,null]\n\n\nInstall\n=======\n\nYou can install **BP Diag** with pip_ or from source.\n\nInstall with pip\n----------------\n\npip_ is \"*a tool for installing and managing Python packages*\". If you don't\nhave it installed, see the `pip install instructions`_::\n\n    pip install --user bpdiag\n\nInstall from source\n-------------------\n\nYou can fetch the latest sourceball_ from github and unpack it, or just clone\nthis repository: ``git clone git://github.com/brutus/bpdiag``. If you\ngot the source, change into the directory and use ``setup.py``::\n\n    python setup.py install\n\n\nDependencies\n============\n\nPyGal_ is used to generate the charts. If you want to generate charts,\nyou need to install it. With pip_ it's as easy as this::\n\n    pip install --user pygal\n\nIf you want to export to PNG files, you need CairoSVG_, tinycss_ and\ncssselect_ too. You can install them like this::\n\n    pip install --user CairoSVG tinycss cssselect\n\n\nBugs  and Contribution\n======================\n\n**BP Diag** is at home at: https://github.com/brutus/bpdiag/\n\nIf you find any bugs, issues or anything, please use the `issue tracker`_.\n\n\n.. _home: https://github.com/brutus/bpdiag/\n.. _sourceball: https://github.com/brutus/bpdiag/zipball/master\n.. _`issue tracker`: https://github.com/brutus/bpdiag/issues\n.. _pip: http://www.pip-installer.org/en/latest/index.html\n.. _`pip install instructions`: http://www.pip-installer.org/en/latest/installing.html\n.. _PyGal: http://pygal.org/\n.. _CairoSVG: http://cairosvg.org/\n.. _tinycss: http://packages.python.org/tinycss/\n.. _cssselect: http://packages.python.org/cssselect/",
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