[ADD]l10n_fr_hr_holidays from v17 to 16 to manage french holidays for part-time employees
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197
l10n_fr_hr_holidays/models/utils.py
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197
l10n_fr_hr_holidays/models/utils.py
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# -*- coding: utf-8 -*-
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# Part of Odoo. See LICENSE file for full copyright and licensing details.
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import math
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from datetime import time
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from itertools import chain
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from pytz import utc
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from odoo import fields
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from odoo.osv.expression import normalize_domain, is_leaf, NOT_OPERATOR
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from odoo.tools.float_utils import float_round
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# Default hour per day value. The one should
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# only be used when the one from the calendar
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# is not available.
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HOURS_PER_DAY = 8
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# This will generate 16th of days
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ROUNDING_FACTOR = 16
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def make_aware(dt):
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""" Return ``dt`` with an explicit timezone, together with a function to
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convert a datetime to the same (naive or aware) timezone as ``dt``.
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"""
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if dt.tzinfo:
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return dt, lambda val: val.astimezone(dt.tzinfo)
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return dt.replace(tzinfo=utc), lambda val: val.astimezone(utc).replace(tzinfo=None)
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def string_to_datetime(value):
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""" Convert the given string value to a datetime in UTC. """
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return utc.localize(fields.Datetime.from_string(value))
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def datetime_to_string(dt):
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""" Convert the given datetime (converted in UTC) to a string value. """
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return fields.Datetime.to_string(dt.astimezone(utc))
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def float_to_time(hours):
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""" Convert a number of hours into a time object. """
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if hours == 24.0:
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return time.max
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fractional, integral = math.modf(hours)
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return time(int(integral), int(float_round(60 * fractional, precision_digits=0)), 0)
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def _boundaries(intervals, opening, closing):
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""" Iterate on the boundaries of intervals. """
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for start, stop, recs in intervals:
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if start < stop:
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yield (start, opening, recs)
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yield (stop, closing, recs)
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def filter_domain_leaf(domain, field_check, field_name_mapping=None):
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"""
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filter_domain_lead only keep the leaves of a domain that verify a given check. Logical operators that involves
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a leaf that is undetermined (because it does not pass the check) are ignored.
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each operator is a logic gate:
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- '&' and '|' take two entries and can be ignored if one of them (or the two of them) is undetermined
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-'!' takes one entry and can be ignored if this entry is undetermined
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params:
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- domain: the domain that needs to be filtered
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- field_check: the function that the field name used in the leaf needs to verify to keep the leaf
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- field_name_mapping: dictionary of the form {'field_name': 'new_field_name', ...}. Occurences of 'field_name'
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in the first element of domain leaves will be replaced by 'new_field_name'. This is usefull when adapting a
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domain from one model to another when some field names do not match the names of the corresponding fields in
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the new model.
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returns: The filtered version of the domain
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"""
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domain = normalize_domain(domain)
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field_name_mapping = field_name_mapping or {}
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stack = [] # stack of elements (leaf or operator) to conserve (reversing it gives a domain)
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ignored_elems = [] # history of ignored elements in the domain (not added to the stack)
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# if the top of the stack ignored_elems is:
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# - True: indicates that the last browsed elem has been ignored
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# - False: indicates that the last browsed elem has been added to the stack
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# When an operator is applied to some elements, they are removed from the ignored_elems stack
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# (and replaced by the ignored_elems flag of the operator)
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while domain:
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next_elem = domain.pop() # Browsing the domain backward simplifies the filtering
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if is_leaf(next_elem):
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field_name, op, value = next_elem
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if field_check(field_name):
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field_name = field_name_mapping.get(field_name, field_name)
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stack.append((field_name, op, value))
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ignored_elems.append(False)
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else:
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ignored_elems.append(True)
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elif next_elem == NOT_OPERATOR:
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ignore_operation = ignored_elems.pop()
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if not ignore_operation:
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stack.append(NOT_OPERATOR)
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ignored_elems.append(False)
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else:
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ignored_elems.append(True)
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else: # OR/AND operation
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ignore_operand1 = ignored_elems.pop()
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ignore_operand2 = ignored_elems.pop()
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if not ignore_operand1 and not ignore_operand2:
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stack.append(next_elem)
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ignored_elems.append(False)
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elif ignore_operand1 and ignore_operand2:
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ignored_elems.append(True)
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else:
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ignored_elems.append(False) # the AND/OR operation is replaced by one of its operand which cannot be ignored
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return list(reversed(stack))
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class Intervals(object):
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""" Collection of ordered disjoint intervals with some associated records.
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Each interval is a triple ``(start, stop, records)``, where ``records``
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is a recordset.
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"""
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def __init__(self, intervals=()):
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self._items = []
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if intervals:
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# normalize the representation of intervals
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append = self._items.append
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starts = []
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recses = []
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for value, flag, recs in sorted(_boundaries(intervals, 'start', 'stop')):
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if flag == 'start':
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starts.append(value)
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recses.append(recs)
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else:
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start = starts.pop()
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if not starts:
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append((start, value, recses[0].union(*recses)))
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recses.clear()
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def __bool__(self):
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return bool(self._items)
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def __len__(self):
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return len(self._items)
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def __iter__(self):
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return iter(self._items)
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def __reversed__(self):
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return reversed(self._items)
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def __or__(self, other):
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""" Return the union of two sets of intervals. """
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return Intervals(chain(self._items, other._items))
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def __and__(self, other):
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""" Return the intersection of two sets of intervals. """
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return self._merge(other, False)
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def __sub__(self, other):
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""" Return the difference of two sets of intervals. """
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return self._merge(other, True)
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def _merge(self, other, difference):
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""" Return the difference or intersection of two sets of intervals. """
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result = Intervals()
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append = result._items.append
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# using 'self' and 'other' below forces normalization
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bounds1 = _boundaries(self, 'start', 'stop')
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bounds2 = _boundaries(other, 'switch', 'switch')
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start = None # set by start/stop
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recs1 = None # set by start
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enabled = difference # changed by switch
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for value, flag, recs in sorted(chain(bounds1, bounds2)):
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if flag == 'start':
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start = value
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recs1 = recs
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elif flag == 'stop':
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if enabled and start < value:
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append((start, value, recs1))
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start = None
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else:
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if not enabled and start is not None:
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start = value
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if enabled and start is not None and start < value:
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append((start, value, recs1))
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enabled = not enabled
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return result
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def sum_intervals(intervals):
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""" Sum the intervals duration (unit : hour)"""
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return sum(
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(stop - start).total_seconds() / 3600
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for start, stop, meta in intervals
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)
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def timezone_datetime(time):
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if not time.tzinfo:
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time = time.replace(tzinfo=utc)
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return time
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