3e83d8d7d5
Includes: - Odoo 19 framework (odoo/) - 27 custom EnCoach addons (new_project/custom_addons/) - encoach_core, encoach_api, encoach_lms_api, encoach_adaptive_api - encoach_exam, encoach_taxonomy, encoach_adaptive, encoach_assignment - encoach_ai, encoach_ai_grading, encoach_ai_generation, encoach_ai_media - encoach_courseware, encoach_communication, encoach_subscription - encoach_notification, encoach_approval, encoach_branding - encoach_classroom, encoach_registration, encoach_stats - encoach_faq, encoach_ticket, encoach_training, encoach_resources - encoach_adaptive_ai, encoach_sis - 21 OpenEduCat Enterprise modules (new_project/enterprise-19/) - 14 OpenEduCat Community modules (new_project/openeducat_erp-19.0/) - Configuration: odoo.conf, requirements.txt, scripts - 200+ REST API endpoints with JWT authentication - SRS and test documentation Made-with: Cursor
79 lines
2.2 KiB
Python
79 lines
2.2 KiB
Python
# -*- coding: utf-8 -*-
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# Part of Odoo. See LICENSE file for full copyright and licensing details.
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import operator
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from odoo.tools.float_utils import float_compare
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RATING_AVG_TOP = 3.66
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RATING_AVG_OK = 2.33
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RATING_AVG_MIN = 1
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RATING_LIMIT_SATISFIED = 4
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RATING_LIMIT_OK = 3
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RATING_LIMIT_MIN = 1
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RATING_HAPPY_VALUE = 5
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RATING_NEUTRAL_VALUE = 3
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RATING_UNHAPPY_VALUE = 1
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RATING_NONE_VALUE = 0
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RATING_TEXT = [
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('top', 'Happy'),
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('ok', 'Neutral'),
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('ko', 'Unhappy'),
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('none', 'Not Rated yet'),
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]
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OPERATOR_MAPPING = {
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'in': lambda elem, container: elem in container,
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'not in': lambda elem, container: elem not in container,
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'<': operator.lt,
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'<=': operator.le,
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'>': operator.gt,
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'>=': operator.ge,
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}
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def _rating_avg_to_text(rating_avg):
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if float_compare(rating_avg, RATING_AVG_TOP, 2) >= 0:
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return 'top'
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if float_compare(rating_avg, RATING_AVG_OK, 2) >= 0:
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return 'ok'
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if float_compare(rating_avg, RATING_AVG_MIN, 2) >= 0:
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return 'ko'
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return 'none'
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def _rating_assert_value(rating_value):
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assert RATING_NONE_VALUE <= rating_value <= RATING_HAPPY_VALUE
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def _rating_to_grade(rating_value):
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""" From a rating value give a text-based mean value. """
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_rating_assert_value(rating_value)
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if rating_value >= RATING_LIMIT_SATISFIED:
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return 'great'
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if rating_value >= RATING_LIMIT_OK:
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return 'okay'
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return 'bad'
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def _rating_to_text(rating_value):
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""" From a rating value give a text-based mean value. """
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_rating_assert_value(rating_value)
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if rating_value >= RATING_LIMIT_SATISFIED:
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return 'top'
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if rating_value >= RATING_LIMIT_OK:
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return 'ok'
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if rating_value >= RATING_LIMIT_MIN:
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return 'ko'
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return 'none'
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def _rating_to_threshold(rating_value):
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""" From a rating value, return the thresholds in form of 0-1-3-5 used
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notably for images. """
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_rating_assert_value(rating_value)
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if rating_value >= RATING_LIMIT_SATISFIED:
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return RATING_HAPPY_VALUE
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if rating_value >= RATING_LIMIT_OK:
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return RATING_NEUTRAL_VALUE
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if rating_value >= RATING_LIMIT_MIN:
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return RATING_UNHAPPY_VALUE
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return RATING_NONE_VALUE
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