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searx/engines/mongodb.py
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103
searx/engines/mongodb.py
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# SPDX-License-Identifier: AGPL-3.0-or-later
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"""MongoDB_ is a document based database program that handles JSON like data.
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Before configuring the ``mongodb`` engine, you must install the dependency
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pymongo_.
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Configuration
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=============
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In order to query MongoDB_, you have to select a ``database`` and a
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``collection``. Furthermore, you have to select a ``key`` that is going to be
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searched. MongoDB_ also supports the option ``exact_match_only``, so configure
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it as you wish.
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Example
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=======
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Below is an example configuration for using a MongoDB collection:
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.. code:: yaml
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# MongoDB engine
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# Required dependency: pymongo
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- name: mymongo
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engine: mongodb
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shortcut: md
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exact_match_only: false
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host: '127.0.0.1'
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port: 27017
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enable_http: true
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results_per_page: 20
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database: 'business'
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collection: 'reviews' # name of the db collection
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key: 'name' # key in the collection to search for
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Implementations
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===============
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"""
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from __future__ import annotations
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import re
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try:
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from pymongo import MongoClient # type: ignore
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except ImportError:
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# import error is ignored because the admin has to install pymongo manually
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# 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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# mongodb connection variables
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host = '127.0.0.1'
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port = 27017
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username = ''
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password = ''
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database = None
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collection = None
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key = None
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# engine specific variables
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paging = True
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results_per_page = 20
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exact_match_only = False
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_client = None
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def init(_):
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connect()
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def connect():
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global _client # pylint: disable=global-statement
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kwargs: dict[str, str | int] = {'port': port}
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if username:
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kwargs['username'] = username
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if password:
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kwargs['password'] = password
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_client = MongoClient(host, **kwargs)[database][collection]
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def search(query, params) -> EngineResults:
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res = EngineResults()
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if exact_match_only:
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q = {'$eq': query}
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else:
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_re = re.compile('.*{0}.*'.format(re.escape(query)), re.I | re.M)
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q = {'$regex': _re}
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query = _client.find({key: q}).skip((params['pageno'] - 1) * results_per_page).limit(results_per_page)
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res.add(res.types.LegacyResult(number_of_results=query.count()))
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for row in query:
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del row['_id']
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kvmap = {str(k): str(v) for k, v in row.items()}
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res.add(res.types.KeyValue(kvmap=kvmap))
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return res
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