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searxng/searx/engines/postgresql.py
Markus Heiser 5720844fcd [doc] rearranges Settings & Engines docs for better readability
We have built up detailed documentation of the *settings* and the *engines* over
the past few years.  However, this documentation was still spread over various
chapters and was difficult to navigate in its entirety.

This patch rearranges the Settings & Engines documentation for better
readability.

To review new ordered docs::

   make docs.clean docs.live

Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
2023-07-01 22:45:19 +02:00

90 lines
2.0 KiB
Python

# SPDX-License-Identifier: AGPL-3.0-or-later
# lint: pylint
"""PostgreSQL is a powerful and robust open source database. Before configuring
the PostgreSQL engine, you must install the dependency ``psychopg2``.
Example
=======
Below is an example configuration:
.. code:: yaml
- name: my_database
engine: postgresql
database: my_database
username: searxng
password: password
query_str: 'SELECT * from my_table WHERE my_column = %(query)s'
Implementations
===============
"""
try:
import psycopg2 # type: ignore
except ImportError:
# import error is ignored because the admin has to install postgresql
# manually to use the engine.
pass
engine_type = 'offline'
host = "127.0.0.1"
port = "5432"
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 = psycopg2.connect(
database=database,
user=username,
password=password,
host=host,
port=port,
)
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:
with _connection.cursor() as cur:
cur.execute(query_to_run, query_params)
return _fetch_results(cur)
def _fetch_results(cur):
results = []
titles = []
try:
titles = [column_desc.name for column_desc in cur.description]
for res in cur:
result = dict(zip(titles, map(str, res)))
result['template'] = result_template
results.append(result)
# no results to fetch
except psycopg2.ProgrammingError:
pass
return results