{
    "info": {
        "author": "Dimagi",
        "author_email": "information@dimagi.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Healthcare Industry",
            "Intended Audience :: Science/Research",
            "Intended Audience :: System Administrators",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Topic :: Database",
            "Topic :: Software Development :: Interpreters",
            "Topic :: System :: Archiving",
            "Topic :: System :: Distributed Computing"
        ],
        "description": "CommCare Export\n===============\n\nhttps://github.com/dimagi/commcare-export\n\n|Build Status| |Test coverage| |PyPI version|\n\nA command-line tool (and Python library) to generate customized exports from the `CommCareHQ <https://www.commcarehq.org>`__ `REST\nAPI <https://wiki.commcarehq.org/display/commcarepublic/Data+APIs>`__.\n\n-  `User documentation <https://wiki.commcarehq.org/display/commcarepublic/CommCare+Data+Export+Tool>`__\n-  `Changelog <https://github.com/dimagi/commcare-export/releases>`__\n\nInstallation & Quick Start\n--------------------------\n\n0a. Install Python and ``pip``. This tool is `tested with Python 2.7, and 3.3 <https://travis-ci.org/dimagi/commcare-export>`__.\n\n0b. Sign up for CommCareHQ at https://www.commcarehq.org/register/user if you have not already.\n\n1. Install CommCare Export via ``pip``\n\n::\n\n    $ pip install commcare-export\n\n2. Visit the CommCareHQ Exchange and add the `Simple CommCare Demo/Tutorial\" <https://www.commcarehq.org/exchange/611422532c7ab89d22cca54d57ae89aa/info/>`__ app\nto a new project space.\n\n3. Visit the Release Manager, make a build, click the star to release it.\n\n4. Visit CloudCare and fill out a bunch of forms.\n\n5. Try out the example queries in the ``examples/`` directory, providing your project name on the command line:\n\n::\n\n    $ commcare-export \\\n         --query examples/demo-registration.xlsx \\\n         --project YOUR_PROJECT \\\n         --output-format markdown\n\n    $ commcare-export \\\n         --query examples/demo-registration.json \\\n         --project YOUR_PROJECT \\\n         --output-format markdown\n\n    $ commcare-export \\\n         --query examples/demo-deliveries.xlsx \\\n         --project YOUR_PROJECT \\\n         --output-format markdown\n\n    $ commcare-export \\\n         --query examples/demo-deliveries.json \\\n         --project YOUR_PROJECT \\\n         --output-format markdown\n\nYou'll see the tables printed out. Change to ``--output-format sql --output URL_TO_YOUR_DB --since DATE`` to sync all forms submitted since that date.\n\nAll examples are present in Excel and also equivalent JSON.\n\nCommand-line Usage\n------------------\n\nThe basic usage of the command-line tool is with a saved Excel or JSON query (see how to write these, below)\n\n::\n\n    $ commcare-export --commcare-hq <URL or alias like \"local\" or \"prod\"> \\\n                      --username <username> \\\n                      --project <project> \\\n                      --version <api version, defaults to latest known> \\\n                      --query <excel file, json file, or raw json> \\\n                      --output-format <csv, xls, xlsx, json, markdown, sql> \\\n                      --output <file name or SQL database URL>\n\nSee ``commcare-export --help`` for the full list of options.\n\nThere are example query files for the CommCare Demo App (available on the CommCareHq Exchange) in the ``examples/`` directory.\n\n``--output``\n\nCommCare Export uses SQLAlachemy's `create\\_engine <http://docs.sqlalchemy.org/en/latest/core/engines.html>`__ to establish a database connection. This is based\noff of the `RFC-1738 <https://www.ietf.org/rfc/rfc1738.txt>`__ protocol. Some common examples:\n\n::\n\n    # Postgres\n    postgresql+psycopg2://scott:tiger@localhost/mydatabase\n\n    # MySQL\n    mysql+pymysql://scott:tiger@localhost/mydatabase\n\n    # MSSQL\n    mssql+pyodbc://scott:tiger@localhost/mydatabases?driver=ODBC+Driver+17+for+SQL+Server\n\nExcel Queries\n-------------\n\nAn excel query is any ``.xlsx`` workbook. Each sheet in the workbook represents one table you wish to create. There are two grouping of columns to configure the\ntable:\n\n-  **Data Source**: Set this to ``form`` to export form data, or ``case`` for case data.\n-  **Filter Name** / *Filter Value*: These columns are paired up to filter the input cases or forms.\n-  **Field**: The destination in your SQL database for the value.\n-  **Source Field**: The particular field from the form you wish to extract. This can be any JSON path.\n\nJSON Queries\n------------\n\nJSON queries are a described in the table below. You build a JSON object that represents the query you have in mind. A good way to get started is to work from\nthe examples, or you could make an excel query and run the tool with ``--dump-query`` to see the resulting JSON query.\n\nPython Library Usage\n--------------------\n\nAs a library, the various ``commcare_export`` modules make it easy to\n\n-  Interact with the CommCareHQ REST API\n-  Execute \"Minilinq\" queries against the API (a very simple query language, described below)\n-  Load and save JSON representations of Minilinq queries\n-  Compile Excel configurations to Minilinq queries\n\nTo directly access the CommCareHq REST API:\n\n.. code:: python\n\n    >>> import getpass\n    >>> from commcare_export.commcare_hq_client import CommCareHqClient\n    >>> api_client = CommCareHqClient('http://commcarehq.org', project='your_project').authenticated('your_username', getpass.getpass())\n    >>> forms = api_client.iterate('form', {'app_id': \"whatever\"})\n    >>> [ (form['received_on'], form['form.gender']) for form in forms ]\n\nTo issue a ``minilinq`` query against it, and then print out that query in a JSON serialization:\n\n.. code:: python\n\n    import getpass\n    import json\n    from commcare_export.minilinq import *\n    from commcare_export.commcare_hq_client import CommCareHqClient\n    from commcare_export.commcare_minilinq import CommCareHqEnv\n    from commcare_export.env import BuiltInEnv\n\n    api_client = CommCareHqClient(\n        url=\"http://www.commcarehq.org\",\n        project='your_project',\n        version='0.5'\n    )\n     \n    api_client = api_client.authenticated(username='username', password='password', mode='digest')\n\n    source = Map(\n       source=Apply(\n           Reference(\"api_data\"),\n           Literal(\"form\"),\n           Literal({\"filter\": {\"term\": {\"app_id\": \"whatever\"}}})\n       ),\n       body=List([\n           Reference(\"received_on\"),\n           Reference(\"form.gender\"),\n       ])\n    )\n\n    query = Emit(\n       'demo-table',\n       [\n           Literal('Received On'),\n           Literal('Gender')\n       ],\n       source\n    )\n\n    print json.dumps(query.to_jvalue(), indent=2)\n\n    results = query.eval(BuiltInEnv() | CommCareHqEnv(api_client) | JsonPathEnv())\n\n    if len(list(env.emitted_tables())) > 0:\n        # with writers.Excel2007TableWriter(\"excel-output.xlsx\") as writer:\n        with writers.StreamingMarkdownTableWriter(sys.stdout) as writer:\n            for table in env.emitted_tables():\n                writer.write_table(table)\n\nWhich will output JSON equivalent to this:\n\n.. code:: javascript\n\n    {\n        \"Emit\": {\n            \"headings\": [\n                {\n                    \"Lit\": \"Received On\"\n                },\n                {\n                    \"Lit\": \"Gender\"\n                }\n            ],\n            \"source\": {\n                \"Map\": {\n                    \"body\": {\n                        \"List\": [\n                            {\n                                \"Ref\": \"received_on\"\n                            },\n                            {\n                                \"Ref\": \"form.gender\"\n                            }\n                        ]\n                    },\n                    \"name\": None,\n                    \"source\": {\n                        \"Apply\": {\n                            \"args\": [\n                                {\n                                    \"Lit\": \"form\"\n                                },\n                                {\n                                    \"Lit\": {\n                                        \"filter\": {\n                                            \"term\": {\n                                                \"app_id\": \"whatever\"\n                                            }\n                                        }\n                                    }\n                                }\n                            ],\n                            \"fn\": {\n                                \"Ref\": \"api_data\"\n                            }\n                        }\n                    }\n                }\n            },\n            \"table\": \"demo-table\"\n        }\n    }\n\nMiniLinq Reference\n------------------\n\nThe abstract syntax can be directly inspected in the ``commcare_export.minilinq`` module. Note that the choice between functions and primitives is deliberately\nchosen to expose the structure of the MiniLinq for possible optimization, and to restrict the overall language.\n\nHere is a description of the astract syntax and semantics\n\n+----------------------------------+--------------------------------------------------------+-------------------------------------+\n| Python                           | JSON                                                   | Which is evaluates to               |\n+==================================+========================================================+=====================================+\n| ``Literal(v)``                   | ``{\"Lit\": v}``                                         | Just ``v``                          |\n+----------------------------------+--------------------------------------------------------+-------------------------------------+\n| ``Reference(x)``                 | ``{\"Ref\": x}``                                         | Whatever ``x`` resolves to in the   |\n|                                  |                                                        | environment                         |\n+----------------------------------+--------------------------------------------------------+-------------------------------------+\n| ``List([a, b, c, ...])``         | ``{\"List\": [a, b, c, ...}``                            | The list of what ``a``, ``b``,      |\n|                                  |                                                        | ``c`` evaluate to                   |\n+----------------------------------+--------------------------------------------------------+-------------------------------------+\n| ``Map(source, name, body)``      | ``{\"Map\": {\"source\": ..., \"name\": ..., \"body\": ...}``  | Evals ``body`` for each elem in     |\n|                                  |                                                        | ``source``. If ``name`` is          |\n|                                  |                                                        | provided, the elem will be bound to |\n|                                  |                                                        | it, otherwise it will replace the   |\n|                                  |                                                        | whole env.                          |\n+----------------------------------+--------------------------------------------------------+-------------------------------------+\n| ``FlatMap(source, name, body)``  | ``{\"FlatMap\": {\"source\" ... etc}}``                    | Flattens after mapping, like nested |\n|                                  |                                                        | list comprehensions                 |\n+----------------------------------+--------------------------------------------------------+-------------------------------------+\n| ``Filter(source, name, body)``   | etc                                                    |                                     |\n+----------------------------------+--------------------------------------------------------+-------------------------------------+\n| ``Bind(value, name, body)``      | etc                                                    | Binds the result of ``value`` to    |\n|                                  |                                                        | ``name`` when evaluating ``body``   |\n+----------------------------------+--------------------------------------------------------+-------------------------------------+\n| ``Emit(table, headings, rows)``  | etc                                                    | Emits ``table`` with ``headings``   |\n|                                  |                                                        | and ``rows``. Note that ``table``   |\n|                                  |                                                        | is a string, ``headings`` is a list |\n|                                  |                                                        | of expressions, and ``rows`` is a   |\n|                                  |                                                        | list of lists of expressions. See   |\n|                                  |                                                        | explanation below for emitted       |\n|                                  |                                                        | output.                             |\n+----------------------------------+--------------------------------------------------------+-------------------------------------+\n| ``Apply(fn, args)``              | etc                                                    | Evaluates ``fn`` to a function, and |\n|                                  |                                                        | all of ``args``, then applies the   |\n|                                  |                                                        | function to the args.               |\n+----------------------------------+--------------------------------------------------------+-------------------------------------+\n\nBuilt in functions like ``api_data`` and basic arithmetic and comparison are provided via the environment, referred to be name using ``Ref``, and utilized via\n``Apply``.\n\nList of builtin functions:\n\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| Function                           | Description                                                                      | Example Usage                      |\n+====================================+==================================================================================+====================================+\n| ``+, -, *, //, /, >, <, >=, <=``   | Standard Math                                                                    |                                    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| len                                | Length                                                                           |                                    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| bool                               | Bool                                                                             |                                    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| str2bool                           | Convert string to boolean. True values are 'true', 't', '1' (case insensitive)   |                                    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| str2date                           | Convert string to date                                                           |                                    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| bool2int                           | Convert boolean to integer (0, 1)                                                |                                    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| str2num                            | Parse string as a number                                                         |                                    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| selected-at                        | Returns the Nth word in a string. N is zero-indexed.                             | selected-at(3) - return 4th word   |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| selected                           | Returns True if the given word is in the value.                                  | selected(fever)                    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| count-selected                     | Count the number of words                                                        |                                    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| template                           | Render a string template (not robust)                                            | template({} on {}, state, date)    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n| attachment\\_url                    | Convert an attachment name into it's download URL                                |                                    |\n+------------------------------------+----------------------------------------------------------------------------------+------------------------------------+\n\nOutput Formats\n--------------\n\nYour MiniLinq may define multiple tables with headings in addition to their body rows by using ``Emit`` expressions, or may simply return the results of a\nsingle query.\n\nIf your MiniLinq does not contain any ``Emit`` expressions, then the results of the expression will be printed to standard output as pretty-printed JSON.\n\nIf your MiniLinq *does* contain ``Emit`` expressions, then there are many formats available, selected via the ``--output-format <format>`` option, and it can be\ndirected to a file with the ``--output <file>`` command-line option.\n\n-  ``csv``: Each table will be a CSV file within a Zip archive.\n-  ``xls``: Each table will be a sheet in an old-format Excel spreadsheet.\n-  ``xlsx``: Each table will be a sheet in a new-format Excel spreadsheet.\n-  ``json``: The tables will each be a member of a JSON dictionary, printed to standard output\n-  ``markdown``: The tables will be streamed to standard output in Markdown format (very handy for debugging your queries)\n-  ``sql``: All data will be idempotently \"upserted\" into the SQL database you specify, including creating the needed tables and columns.\n\nDependencies\n------------\n\nRequired dependencies will be automatically installed via pip. But since you may not care about all export formats, the various dependencies there are optional.\nHere is how you might install them:\n\n::\n\n    # To export \"xlsx\"\n    $ pip install openpyxl\n\n    # To export \"xls\"\n    $ pip install xlwt\n\n    # To sync with a SQL database\n    $ pip install SQLAlchemy alembic psycopg2 pymysql pyodbc\n\nContributing\n------------\n\n0. Sign up for github, if you have not already, at https://github.com.\n\n1. Fork the repository at https://github.com/dimagi/commcare-export.\n\n2. Clone your fork, install into a ``virtualenv``, and start a feature branch\n\n::\n\n    $ mkvirtualenv commcare-export\n    $ git clone git@github.com:dimagi/commcare-export.git\n    $ cd commcare-export\n    $ pip install -e .\n    $ git checkout -b my-super-duper-feature\n\n3. Make your edits.\n\n4. Make sure the tests pass. The best way to test for all versions is to sign up for https://travis-ci.org and turn on automatic continuous testing for your\nfork.\n\n::\n\n    $ py.test\n    =============== test session starts ===============\n    platform darwin -- Python 2.7.3 -- pytest-2.3.4\n    collected 17 items\n\n    tests/test_commcare_minilinq.py .\n    tests/test_excel_query.py ....\n    tests/test_minilinq.py ........\n    tests/test_repeatable_iterator.py .\n    tests/test_writers.py ...\n\n    ============ 17 passed in 2.09 seconds ============\n\n5. Push the feature branch up\n\n::\n\n    $ git push -u origin my-super-duper-feature\n\n6. Visit https://github.com/dimagi/commcare-export and submit a pull request.\n\n7. Accept our gratitude for contributing: Thanks!\n\nRelease process\n---------------\n\n1. Create a tag for the release\n\n::\n\n    $ git tag -a \"X.YY.0\" -m \"Release X.YY.0\"\n    $ git push --tags\n\n2. Create the source distribution\n\n::\n\n    $ python setup.py sdist\n\nEnsure that the archive (``dist/commcare-export-X.YY.0.tar.gz``) has the correct version number (matching the tag name).\n\n3. Upload to pypi\n\n::\n\n    $ pip install twine\n    $ twine upload dist/commcare-export-X.YY.0.tar.gz\n\n4. Verify upload\n\nhttps://pypi.python.org/pypi/commcare-export\n\n5. Create a release on github\n\nhttps://github.com/dimagi/commcare-export/releases\n\nTesting databases\n-----------------\n\nSupported databases are PostgreSQL, MySQL, MSSQL\n\nPostgresql\n==========\n\n::\n\n    $ docker pull postgres 9.6\n    $ docker run --name ccexport-postgres -p 5432:5432 -d postgres:9.6\n\nMySQL\n=====\n\n::\n\n    $ docker pull mysql\n    $ docker run --name ccexport-mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=pw -e MYSQL_USER=travis -e MYSQL_PASSWORD='' -d mysql\n\n    # create travis user\n    $ docker run -it --link ccexport-mysql:mysql --rm mysql sh -c 'exec mysql -h\"$MYSQL_PORT_3306_TCP_ADDR\" -P\"$MYSQL_PORT_3306_TCP_PORT\" -uroot -p\"$MYSQL_ENV_MYSQL_ROOT_PASSWORD\"'\n    mysql> CREATE USER 'travis'@'%';\n    mysql> GRANT ALL PRIVILEGES ON *.* TO 'travis'@'%';\n\nMSSQL\n=====\n\n::\n\n    $ docker pull microsoft/mssql-server-linux:2017-latest\n    $ docker run -e \"ACCEPT_EULA=Y\" -e \"MSSQL_SA_PASSWORD=Password@123\" -p 1433:1433 --name mssql1 -d microsoft/mssql-server-linux:2017-latest\n\n    # install driver\n    $ curl https://packages.microsoft.com/keys/microsoft.asc | sudo apt-key add -\n    $ echo \"deb [arch=amd64] https://packages.microsoft.com/ubuntu/16.04/prod xenial main\" | sudo tee /etc/apt/sources.list.d/mssql-release.list\n\n    $ sudo apt-get update -qq\n    $ sudo ACCEPT_EULA=Y apt-get install msodbcsql17\n    $ odbcinst -q -d\n\n.. |Build Status| image:: https://travis-ci.org/dimagi/commcare-export.png\n   :target: https://travis-ci.org/dimagi/commcare-export\n.. |Test coverage| image:: https://coveralls.io/repos/dimagi/commcare-export/badge.png?branch=master\n   :target: https://coveralls.io/r/dimagi/commcare-export\n.. |PyPI version| image:: https://badge.fury.io/py/commcare-export.svg\n   :target: https://badge.fury.io/py/commcare-export",
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