f49b2c94a9
The engines now all use KeyValue results and return the results in a EngineResults object. The sqlite engine can return MainResult results in addition to KeyValue results (based on engine's config in settings.yml), Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
99 lines
2.2 KiB
Python
99 lines
2.2 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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"""PostgreSQL is a powerful and robust open source database. Before configuring
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the PostgreSQL engine, you must install the dependency ``psychopg2``.
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Example
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=======
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Below is an example configuration:
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.. code:: yaml
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- name: my_database
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engine: postgresql
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database: my_database
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username: searxng
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password: password
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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 psycopg2 # type: ignore
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except ImportError:
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# import error is ignored because the admin has to install postgresql
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# manually to use the engine.
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pass
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from searx.result_types import EngineResults
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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 = "5432"
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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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_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 = psycopg2.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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)
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def search(query, params) -> EngineResults:
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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:
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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) -> EngineResults:
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res = EngineResults()
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try:
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titles = [column_desc.name for column_desc in cur.description]
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for row in cur:
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kvmap = dict(zip(titles, map(str, row)))
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res.add(res.types.KeyValue(kvmap=kvmap))
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# no results to fetch
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except psycopg2.ProgrammingError:
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pass
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return res
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