Benoit Socias
c6ba756e4b
Before this commit searched terms were the ones entered by the end-user. After this commit if the searched term is not found then the search is performed on a resembling term. The similarity is obtained from a Levenshtein distance combined with ratios of common and different letters. By default the dictionary against which the search term is matched is based on the content of the search fields containing a word that starts with the first letter of the search term. If the `pg_trgm` Postgresql extension is installed the dictionary is built from matches using the `<%%` operator (similar to the `word_similarity` function). Several approaches were benchmarked during development, those results are available through the task record. task-2379555 https://github.com/odoo/odoo/pull/65871 Part-of: odoo/odoo#65871
26 lines
814 B
Python
26 lines
814 B
Python
# -*- coding: utf-8 -*-
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# Part of Odoo. See LICENSE file for full copyright and licensing details.
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from . import test_attachment
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from . import test_base_url
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from . import test_controllers
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from . import test_converter
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from . import test_crawl
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from . import test_disable_unused_snippets_assets
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from . import test_fuzzy
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from . import test_get_current_website
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from . import test_lang_url
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from . import test_menu
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from . import test_page
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from . import test_performance
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from . import test_qweb
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from . import test_res_users
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from . import test_snippets
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from . import test_theme
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from . import test_ui
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from . import test_views
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from . import test_views_inherit_module_update
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from . import test_website_favicon
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from . import test_website_form_editor
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from . import test_website_reset_password
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from . import test_website_visitor
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