action.py

import logging
import pylons
import ckan.logic as logic
import ckan.plugins as p
import ckanext.datastore.db as db
import sqlalchemy

log = logging.getLogger(__name__)
_get_or_bust = logic.get_or_bust


def datastore_create(context, data_dict):
    '''Adds a new table to the datastore.

    The datastore_create action allows a user to post JSON data to be
    stored against a resource. This endpoint also supports altering tables,
    aliases and indexes and bulk insertion. This endpoint can be called multiple
    times to ininially insert more data, add fields, change the aliases or indexes
    as well as the primary keys.

    See :ref:`fields` and :ref:`records` for details on how to lay out records.

    :param resource_id: resource id that the data is going to be stored against.
    :type resource_id: string
    :param aliases: names for read only aliases of the resource.
    :type aliases: list or comma separated string
    :param fields: fields/columns and their extra metadata.
    :type fields: list of dictionaries
    :param records: the data, eg: [{"dob": "2005", "some_stuff": ["a", "b"]}]
    :type records: list of dictionaries
    :param primary_key: fields that represent a unique key
    :type primary_key: list or comma separated string
    :param indexes: indexes on table
    :type indexes: list or comma separated string

    Please note that setting the ``aliases``, ``indexes`` or ``primary_key`` replaces the exising
    aliases or constraints. Setting ``records`` appends the provided records to the resource.

    **Results:**

    :returns: The newly created data object.
    :rtype: dictionary

    See :ref:`fields` and :ref:`records` for details on how to lay out records.

    '''
    model = _get_or_bust(context, 'model')
    id = _get_or_bust(data_dict, 'resource_id')

    if not model.Resource.get(id):
        raise p.toolkit.ObjectNotFound(p.toolkit._(
            'Resource "{0}" was not found.'.format(id)
        ))

    p.toolkit.check_access('datastore_create', context, data_dict)

    data_dict['connection_url'] = pylons.config['ckan.datastore.write_url']

    # validate aliases
    aliases = db._get_list(data_dict.get('aliases', []))
    for alias in aliases:
        if not db._is_valid_table_name(alias):
            raise p.toolkit.ValidationError({
                'alias': ['{0} is not a valid alias name'.format(alias)]
            })

    result = db.create(context, data_dict)
    result.pop('id')
    result.pop('connection_url')
    return result


def datastore_upsert(context, data_dict):
    '''Updates or inserts into a table in the datastore

    The datastore_upsert API action allows a user to add or edit records to
    an existing dataStore resource. In order for the *upsert* and *update*
    methods to work, a unique key has to be defined via the datastore_create
    action. The available methods are:

    *upsert*
        Update if record with same key already exists, otherwise insert.
        Requires unique key.
    *insert*
        Insert only. This method is faster that upsert, but will fail if any
        inserted record matches an existing one. Does *not* require a unique
        key.
    *update*
        Update only. An exception will occur if the key that should be updated
        does not exist. Requires unique key.


    :param resource_id: resource id that the data is going to be stored under.
    :type resource_id: string
    :param records: the data, eg: [{"dob": "2005", "some_stuff": ["a","b"]}]
    :type records: list of dictionaries
    :param method: the method to use to put the data into the datastore.
                   Possible options are: upsert (default), insert, update
    :type method: string

    **Results:**

    :returns: The modified data object.
    :rtype: dictionary

    '''
    res_id = _get_or_bust(data_dict, 'resource_id')

    data_dict['connection_url'] = pylons.config['ckan.datastore.write_url']

    resources_sql = sqlalchemy.text(u'''SELECT 1 FROM "_table_metadata"
                                        WHERE name = :id AND alias_of IS NULL''')
    results = db._get_engine(None, data_dict).execute(resources_sql, id=res_id)
    res_exists = results.rowcount > 0

    if not res_exists:
        raise p.toolkit.ObjectNotFound(p.toolkit._(
            'Resource "{0}" was not found.'.format(res_id)
        ))

    p.toolkit.check_access('datastore_upsert', context, data_dict)

    result = db.upsert(context, data_dict)
    result.pop('id')
    result.pop('connection_url')
    return result


def datastore_delete(context, data_dict):
    '''Deletes a table or a set of records from the datastore.

    :param resource_id: resource id that the data will be deleted from.
    :type resource_id: string
    :param filters: filters to apply before deleting (eg {"name": "fred"}).
                   If missing delete whole table and all dependent views.
    :type filters: dictionary

    **Results:**

    :returns: Original filters sent.
    :rtype: dictionary

    '''
    res_id = _get_or_bust(data_dict, 'resource_id')

    data_dict['connection_url'] = pylons.config['ckan.datastore.write_url']

    resources_sql = sqlalchemy.text(u'''SELECT 1 FROM "_table_metadata"
                                        WHERE name = :id AND alias_of IS NULL''')
    results = db._get_engine(None, data_dict).execute(resources_sql, id=res_id)
    res_exists = results.rowcount > 0

    if not res_exists:
        raise p.toolkit.ObjectNotFound(p.toolkit._(
            'Resource "{0}" was not found.'.format(res_id)
        ))

    p.toolkit.check_access('datastore_delete', context, data_dict)

    result = db.delete(context, data_dict)
    result.pop('id')
    result.pop('connection_url')
    return result


@logic.side_effect_free
def datastore_search(context, data_dict):
    '''Search a datastore table.

    The datastore_search action allows a user to search data in a resource.

    :param resource_id: id or alias of the resource to be searched against.
    :type resource_id: string
    :param filters: matching conditions to select, e.g {"key1": "a", "key2": "b"}
    :type filters: dictionary
    :param q: full text query
    :type q: string
    :param plain: treat as plain text query (default: true)
    :type plain: bool
    :param language: language of the full text query (default: english)
    :type language: string
    :param limit: maximum number of rows to return (default: 100)
    :type limit: int
    :param offset: offset this number of rows
    :type offset: int
    :param fields: fields to return (default: all fields in original order)
    :type fields: list or comma separated string
    :param sort: comma separated field names with ordering
                 e.g.: "fieldname1, fieldname2 desc"
    :type sort: string

    Setting the ``plain`` flag to false enables the entire PostgreSQL `full text search query language`_.

    .. _full text search query language: http://www.postgresql.org/docs/9.1/static/datatype-textsearch.html#DATATYPE-TSQUERY

    **Results:**

    The result of this action is a dict with the following keys:

    :rtype: A dictionary with the following keys
    :param fields: fields/columns and their extra metadata
    :type fields: list of dictionaries
    :param offset: query offset value
    :type offset: int
    :param limit: query limit value
    :type limit: int
    :param filters: query filters
    :type filters: list of dictionaries
    :param total: number of total matching records
    :type total: int
    :param records: list of matching results
    :type records: list of dictionaries



    '''
    res_id = _get_or_bust(data_dict, 'resource_id')

    data_dict['connection_url'] = pylons.config.get('ckan.datastore.read_url',
            pylons.config['ckan.datastore.write_url'])

    resources_sql = sqlalchemy.text(u'SELECT 1 FROM "_table_metadata" WHERE name = :id')
    results = db._get_engine(None, data_dict).execute(resources_sql, id=res_id)
    res_exists = results.rowcount > 0

    if not res_exists:
        raise p.toolkit.ObjectNotFound(p.toolkit._(
            'Resource "{0}" was not found.'.format(res_id)
        ))

    p.toolkit.check_access('datastore_search', context, data_dict)

    result = db.search(context, data_dict)
    result.pop('id', None)
    result.pop('connection_url')
    return result


@logic.side_effect_free
def datastore_search_sql(context, data_dict):
    '''Execute SQL queries on the datastore.

    The datastore_search_sql action allows a user to search data in a resource
    or connect multiple resources with join expressions. The underlying SQL
    engine is the
    `PostgreSQL engine <http://www.postgresql.org/docs/9.1/interactive/sql/.html>`_.
    There is an enforced timeout on SQL queries to avoid an unintended DOS.

    .. note:: This action is only available when using PostgreSQL 9.X and using a read-only user on the database.
        It is not available in :ref:`legacy mode<legacy_mode>`.

    :param sql: a single sql select statement
    :type sql: string

    **Results:**

    The result of this action is a dict with the following keys:

    :rtype: A dictionary with the following keys
    :param fields: fields/columns and their extra metadata
    :type fields: list of dictionaries
    :param records: list of matching results
    :type records: list of dictionaries

    '''
    sql = _get_or_bust(data_dict, 'sql')

    if not db._is_single_statement(sql):
        raise p.toolkit.ValidationError({
            'query': ['Query is not a single statement or contains semicolons.'],
            'hint': [('If you want to use semicolons, use character encoding'
                '(; equals chr(59)) and string concatenation (||). ')]
        })

    p.toolkit.check_access('datastore_search', context, data_dict)

    data_dict['connection_url'] = pylons.config['ckan.datastore.read_url']

    result = db.search_sql(context, data_dict)
    result.pop('id', None)
    result.pop('connection_url')
    return result