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searxng/searx/engines/mysql_server.py

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+# SPDX-License-Identifier: AGPL-3.0-or-later
+# lint: pylint
+"""MySQL is said to be the most popular open source database.  Before enabling
+MySQL engine, you must install the package ``mysql-connector-python``.
+
+The authentication plugin is configurable by setting ``auth_plugin`` in the
+attributes.  By default it is set to ``caching_sha2_password``.
+
+Example
+=======
+
+This is an example configuration for querying a MySQL server:
+
+.. code:: yaml
+
+   - name: my_database
+     engine: mysql_server
+     database: my_database
+     username: searxng
+     password: password
+     limit: 5
+     query_str: 'SELECT * from my_table WHERE my_column=%(query)s'
+
+Implementations
+===============
+
+"""
+
+try:
+    import mysql.connector  # type: ignore
+except ImportError:
+    # import error is ignored because the admin has to install mysql manually to use
+    # the engine
+    pass
+
+engine_type = 'offline'
+auth_plugin = 'caching_sha2_password'
+host = "127.0.0.1"
+port = 3306
+database = ""
+username = ""
+password = ""
+query_str = ""
+limit = 10
+paging = True
+result_template = 'key-value.html'
+_connection = None
+
+
+def init(engine_settings):
+    global _connection  # pylint: disable=global-statement
+
+    if 'query_str' not in engine_settings:
+        raise ValueError('query_str cannot be empty')
+
+    if not engine_settings['query_str'].lower().startswith('select '):
+        raise ValueError('only SELECT query is supported')
+
+    _connection = mysql.connector.connect(
+        database=database,
+        user=username,
+        password=password,
+        host=host,
+        port=port,
+        auth_plugin=auth_plugin,
+    )
+
+
+def search(query, params):
+    query_params = {'query': query}
+    query_to_run = query_str + ' LIMIT {0} OFFSET {1}'.format(limit, (params['pageno'] - 1) * limit)
+
+    with _connection.cursor() as cur:
+        cur.execute(query_to_run, query_params)
+
+        return _fetch_results(cur)
+
+
+def _fetch_results(cur):
+    results = []
+    for res in cur:
+        result = dict(zip(cur.column_names, map(str, res)))
+        result['template'] = result_template
+        results.append(result)
+
+    return results