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95 lines
2.3 KiB
Python
95 lines
2.3 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""MariaDB is a community driven fork of MySQL. Before enabling MariaDB engine,
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you must the install the pip package ``mariadb`` along with the necessary
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prerequities.
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`See the following documentation for more details
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<https://mariadb.com/docs/server/connect/programming-languages/c/install/>`_
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Example
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=======
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This is an example configuration for querying a MariaDB server:
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.. code:: yaml
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- name: my_database
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engine: mariadb_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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from typing import TYPE_CHECKING
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try:
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import mariadb
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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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if TYPE_CHECKING:
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import logging
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logger = logging.getLogger()
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engine_type = 'offline'
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host = "127.0.0.1"
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"""Hostname of the DB connector"""
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port = 3306
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"""Port of the DB connector"""
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database = ""
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"""Name of the database."""
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username = ""
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"""Username for the DB connection."""
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password = ""
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"""Password for the DB connection."""
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query_str = ""
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"""SQL query that returns the result items."""
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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 = mariadb.connect(database=database, user=username, password=password, host=host, port=port)
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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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logger.debug("SQL Query: %s", query_to_run)
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with _connection.cursor() as cur:
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cur.execute(query_to_run, query_params)
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results = []
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col_names = [i[0] for i in cur.description]
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for res in cur:
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result = dict(zip(col_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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