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We have built up detailed documentation of the *settings* and the *engines* over the past few years. However, this documentation was still spread over various chapters and was difficult to navigate in its entirety. This patch rearranges the Settings & Engines documentation for better readability. To review new ordered docs:: make docs.clean docs.live Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
87 lines
2.1 KiB
Python
87 lines
2.1 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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# lint: pylint
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"""MySQL is said to be the most popular open source database. Before enabling
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MySQL engine, you must install the package ``mysql-connector-python``.
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The authentication plugin is configurable by setting ``auth_plugin`` in the
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attributes. By default it is set to ``caching_sha2_password``.
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Example
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=======
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This is an example configuration for querying a MySQL server:
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.. code:: yaml
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- name: my_database
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engine: mysql_server
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database: my_database
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username: searxng
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password: password
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limit: 5
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query_str: 'SELECT * from my_table WHERE my_column=%(query)s'
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Implementations
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===============
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"""
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try:
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import mysql.connector # type: ignore
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except ImportError:
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# import error is ignored because the admin has to install mysql manually to use
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# the engine
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pass
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engine_type = 'offline'
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auth_plugin = 'caching_sha2_password'
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host = "127.0.0.1"
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port = 3306
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database = ""
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username = ""
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password = ""
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query_str = ""
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limit = 10
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paging = True
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result_template = 'key-value.html'
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_connection = None
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def init(engine_settings):
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global _connection # pylint: disable=global-statement
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if 'query_str' not in engine_settings:
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raise ValueError('query_str cannot be empty')
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if not engine_settings['query_str'].lower().startswith('select '):
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raise ValueError('only SELECT query is supported')
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_connection = mysql.connector.connect(
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database=database,
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user=username,
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password=password,
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host=host,
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port=port,
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auth_plugin=auth_plugin,
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)
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def search(query, params):
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query_params = {'query': query}
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query_to_run = query_str + ' LIMIT {0} OFFSET {1}'.format(limit, (params['pageno'] - 1) * limit)
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with _connection.cursor() as cur:
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cur.execute(query_to_run, query_params)
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return _fetch_results(cur)
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def _fetch_results(cur):
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results = []
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for res in cur:
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result = dict(zip(cur.column_names, map(str, res)))
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result['template'] = result_template
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results.append(result)
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return results
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