99 lines
		
	
	
		
			2.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			99 lines
		
	
	
		
			2.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# SPDX-License-Identifier: AGPL-3.0-or-later
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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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"""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 = 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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