mysql_server.py

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# SPDX-License-Identifier: AGPL-3.0-or-later
"""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"
"""Hostname of the DB connector"""
 
port = 3306
"""Port of the DB connector"""
 
database = ""
"""Name of the database."""
 
username = ""
"""Username for the DB connection."""
 
password = ""
"""Password for the DB connection."""
 
query_str = ""
"""SQL query that returns the result items."""
 
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