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    "info": {
        "author": "Aaron Biller",
        "author_email": "aaronbiller@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Database",
            "Topic :: Utilities"
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        "description": "|Comparator|\n\nCOMPARATOR\n==========\n\n|pypi| |versions| |CircleCI| |Coverage Status|\n\nComparator is a utility for comparing the results of queries run against\ntwo databases. Future development will include support for APIs, static\nfiles, and more.\n\nInstallation\n------------\n\n.. code:: bash\n\n   pip install comparator\n\nUsage\n-----\n\nOverview\n~~~~~~~~\n\n.. code:: python\n\n   from spackl import db\n\n   import comparator as cpt\n\n   conf = db.Config()\n   l = db.Postgres(**conf.default)\n   r = db.Postgres(**conf.other_db)\n   query = 'SELECT * FROM my_table ORDER BY 1'\n\n   c = cpt.Comparator(l, query, r)\n   c.run_comparisons()\n\n::\n\n   [('basic_comp', True)]\n\nIncluded Comparisons\n~~~~~~~~~~~~~~~~~~~~\n\nThere are some basic comparisons included, and they can be imported and\npassed using constants.\n\n.. code:: python\n\n   from comparator.comps import BASIC_COMP, LEN_COMP\n\n   c = cpt.Comparator(l, query, r, comps=[BASIC_COMP, LEN_COMP])\n   c.run_comparisons()\n\n::\n\n   [('basic_comp', True), ('len_comp', True)]\n\nQueries and Exceptions\n~~~~~~~~~~~~~~~~~~~~~~\n\nIt\u2019s possible to run different queries against each database. You can\nraise exceptions if that\u2019s your speed.\n\n.. code:: python\n\n   lq = 'SELECT * FROM my_table ORDER BY 1'\n   rq = 'SELECT id, uuid, name FROM reporting.my_table ORDER BY 1'\n   comparisons = [BASIC_COMP, LEN_COMP]\n\n   c = cpt.Comparator(l, lq, r, rq, comps=comparisons)\n\n   for result in c.compare():\n       if not result:\n           raise Exception('{} check failed!'.format(result.name))\n\nCustom Comparisons\n~~~~~~~~~~~~~~~~~~\n\nYou\u2019ll probably want to define your own comparison checks. You can do so\nby defining functions that accept ``left`` and ``right`` args, which correspond\nto the results of the queries against your \"left\" and \"right\" data source,\nrespectively. Perform whatever magic you like, and return a boolean (or not\u2026 your choice).\n\n.. code:: python\n\n   def left_is_longer(left, right):\n       # Return True if left contains more rows than right\n       return len(left) > len(right)\n\n\n   def totals_are_equal(left, right):\n       # Return True if sum(left) == sum(right)\n       sl, sr = 0, 0\n       for row in left:\n           sl += int(row[1])\n       for row in right:\n           sr += int(row[1])\n       return sl == sr\n\n\n   c = cpt.Comparator(l, query, r, comps=[left_is_longer, totals_are_equal])\n   c.run_comparisons()\n\n::\n\n   [('left_is_longer', False), ('totals_are_equal', True)]\n\nAccess Comparator and Query Results\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nThe results of both queries and comparisons can be checked using\nstandard operators, as well as for \u201ctruthiness\u201d (ex:\n``failures = [result.name for result in c.compare() if result is False]``).\n\nComparisons do not always need to return a boolean. Accessing the\nresulting value of such a comparison is simple.\n\n.. code:: python\n\n   def len_diff(left, right):\n       return len(left) - len(right)\n\n\n   c = cpt.Comparator(l, query, r, comps=len_diff)\n   res = c.run_comparisons()[0]\n   if res == 0:\n       print('They match')\n   elif res < 0:\n       print('Left is shorter by {}'.format(res.result))\n   else:\n       print('Left is longer by {}'.format(res.result))\n\nIt's recommended that you use the ``spackl`` package for instantiating your\n\"left\" and \"right\" data source objects (``pip install spackl``). This package\nwas originally part of ``comparator``, and provides the following functionality:\n\nQuery results are contained in the ``QueryResult`` class, which provides\nsimple yet powerful ways to look up and access the output of the query.\nData can be retrieved as a dict, list, json string, or pandas DataFrame.\nRows/columns can be accesed by index, attribute, or key. Iterating on\nthe ``QueryResult`` returns a ``QueryResultRow``, which has the same\nlookup functionality, as well as standard operators (<, >, =, etc).\n\n.. code:: python\n\n   from spackl import db\n\n   conf = db.Config()\n   pg = db.Postgres(**conf.default)\n   res = pg.query(query_string)\n\n   res          # [{'a': 1, 'b': 2, 'c': 3}, {'a': 4, 'b': 5, 'c': 6}, {'a': 7, 'b': 8, 'c': 9}]\n\n   res.a        # (1, 4, 7)\n   res['a']     # (1, 4, 7)\n   res[0]       # QueryResultRow : (1, 2, 3)\n\n   res[0].a     # 1\n   res[0]['a']  # 1\n   res[0][0]    # 1\n\n   res.dict()   # {'a': (1, 4, 7), 'b': (2, 5, 8), 'c': (3, 6, 9)}\n   res.list()   # [(1, 2, 3), (4, 5, 6), (7, 8, 9)]\n   res.first()  # QueryResultRow : (1, 2, 3)\n\nThese result sets can be used to great effect in comparison callables.\nFor example, accessing the result of a query as a pandas DataFrame\nallows for an endless variety of checks/manipulations do be done on a\nsingle query output.\n\nSupport is being added to ``spackl`` to allow for querying from files and APIs\nusing the same methods, allowing for easy comparison between many disparate\ndata sources. Stay tuned.\n\n.. |Comparator| image:: https://raw.githubusercontent.com/aaronbiller/comparator/master/docs/comparator.jpg\n.. |pypi| image:: https://img.shields.io/pypi/v/comparator.svg\n   :target: https://pypi.org/project/comparator/\n.. |versions| image:: https://img.shields.io/pypi/pyversions/comparator.svg\n   :target: https://pypi.org/project/comparator/\n.. |CircleCI| image:: https://circleci.com/gh/aaronbiller/comparator/tree/master.svg?style=shield\n   :target: https://circleci.com/gh/aaronbiller/comparator/tree/master\n.. |Coverage Status| image:: https://coveralls.io/repos/github/aaronbiller/comparator/badge.svg?branch=master\n   :target: https://coveralls.io/github/aaronbiller/comparator?branch=master\n\nCHANGELOG\n=========\n\n0.4.0 (2019-03-09)\n------------------\n\n- BREAKING - All ``source`` modules and methods have been stripped out\n- Functionality has been moved to the ``spackl`` package (``pip install spackl``)\n- The ``comparator`` package will expect ``spackl`` to be used for all ``left`` and ``right`` data sources\n\n0.4.0rc3 (2018-12-05)\n---------------------\n\n- Adds better transaction handling in the PostgresDb class\n- Cleans up calls to connect() in the Db classes\n\n0.4.0rc2 (2018-12-05)\n---------------------\n\n- BREAKING - ``QueryPair`` arguments order has changed (``QueryPair(left, lquery, right, rquery)``)\n- ``QueryPair``, ``Comparator``, and ``ComparatorSet`` no longer require a \"right\" Db\n\n0.4.0rc1 (2018-11-07)\n---------------------\n\n- DEPRECATED - the ``from_list`` method on ``ComparatorSet``\n- adds the ``QueryPair`` class\n- BREAKING - ``Comparator`` and ``ComparatorSet`` are instantiated with ``QueryPair`` objects\n- BREAKING - ``ComparatorSet.from_dict()`` requires the dict as the first argument\n- BREAKING - ``QueryResult.keys()`` and ``QueryResult.values()`` both return generators\n- the ``rquery`` passed to a ``QueryPair`` can be formatted with the ``lquery`` query result\n- adds the ``QueryResultCol`` class\n- adds the ``append``, ``pop``, ``extend``, and ``filter`` methods on ``QueryResult``\n- downgrades pandas version requirement to >=0.22.0\n- improves docstrings on ``QueryResult`` methods\n- adds slice handling to ``QueryResult``\n- adds ``empty`` property to ``QueryResult``\n\n0.3.2 (2018-10-04)\n------------------\n\n- adds MANIFEST.in for readme and changes\n\n0.3.1 (2018-10-03)\n------------------\n\n- adds ``creds_file`` to possible BigQueryDb init kwargs\n\n0.3.0 (2018-10-03)\n------------------\n\n-  DEPRECATED - the ``query_df`` method on ``BaseDb`` and subclasses\n-  DEPRECATED - the ``output`` kwarg for Comparator results\n-  adds the ``execute`` method on ``BaseDb`` and subclasses\n-  adds the ``QueryResult`` and ``QueryResultRow`` classes\n-  adds the ``ComparatorSet`` class\n-  adds ``list_tables`` and ``delete_table`` methods to ``BigQueryDb``\n-  cleans up some python 2/3 compatability using six\n\n0.2.1 (2018-09-19)\n------------------\n\n-  officially support Python 2.7, 3.6, and 3.7\n\n0.2.0 (2018-09-18)\n------------------\n\n-  adds ``query_df`` methods for returning pandas DataFrames\n-  adds ``output`` kwarg to Comparator to allow calling the ``query_df`` method\n\n0.1.0 (2018-09-12)\n------------------\n\n-  initial release",
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