[IMP] resource: improve performance of _attendance_intervals
This commit aims to improve the performance of `_attendance_intervals_batch`. The complexity in space has been reduced by a lot. Prior to this commit an intervals object was generated for each resource request. However every resource of the same timezone will share the same ending result. The number of calls to `localize` and `astimezone` has also been reduced as they get quite expensive with such a high volume. Overall we can see a 10x improvement during `test_performance_attendance_intervals_batch` closes odoo/odoo#90933 Signed-off-by: Yannick Tivisse (yti) <yti@odoo.com>
This commit is contained in:
William Braeckman
@@ -2,6 +2,7 @@
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# Part of Odoo. See LICENSE file for full copyright and licensing details.
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from collections import defaultdict
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import itertools
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import math
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from datetime import datetime, time, timedelta
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from dateutil.relativedelta import relativedelta
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@@ -384,13 +385,10 @@ class ResourceCalendar(models.Model):
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# --------------------------------------------------
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# Computation API
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# --------------------------------------------------
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def _attendance_intervals_batch(self, start_dt, end_dt, resources=None, domain=None, tz=None):
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""" Return the attendance intervals in the given datetime range.
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The returned intervals are expressed in specified tz or in the resource's timezone.
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"""
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assert start_dt.tzinfo and end_dt.tzinfo
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self.ensure_one()
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combine = datetime.combine
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if not resources:
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resources = self.env['resource.resource']
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@@ -405,69 +403,82 @@ class ResourceCalendar(models.Model):
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('display_type', '=', False),
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]])
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attendances = self.env['resource.calendar.attendance'].search(domain)
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# Since we only have one calendar to take in account
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# Group resources per tz they will all have the same result
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resources_per_tz = defaultdict(list)
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for resource in resources_list:
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resources_per_tz[tz or timezone((resource or self).tz)].append(resource)
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attendances = self.env['resource.calendar.attendance'].search(domain)
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cache_dates = defaultdict(dict)
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cache_deltas = defaultdict(dict)
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result = defaultdict(list)
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def date_from_cache(tz, dt):
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_key = (tz, dt)
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return cache_dates[_key] if _key in cache_dates\
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else cache_dates.setdefault(_key, dt.astimezone(tz))
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def dt_from_cache(tz, day, hour_from):
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_key = (tz, day, hour_from)
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return cache_deltas[_key] if _key in cache_deltas\
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else cache_deltas.setdefault(_key, tz.localize(combine(day, float_to_time(hour_from))))
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# Resource specific attendances
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attendance_per_resource = defaultdict(lambda: self.env['resource.calendar.attendance'])
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# Calendar attendances per day of the week
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# * 7 days per week * 2 for two week calendars
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attendances_per_day = [self.env['resource.calendar.attendance']] * 7 * 2
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weekdays = set()
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for attendance in attendances:
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attendance_timezones = [tz or timezone(attendance.resource_id.tz)]\
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if attendance.resource_id else resources_per_tz.keys()
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for resource_tz in attendance_timezones:
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# express all dates and times in specified tz or in the resource's timezone
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start = date_from_cache(resource_tz, start_dt)
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end = date_from_cache(resource_tz, end_dt)
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if attendance.resource_id:
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attendance_per_resource[attendance.resource_id] |= attendance
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weekday = int(attendance.dayofweek)
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weekdays.add(weekday)
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if self.two_weeks_calendar:
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weektype = int(attendance.week_type)
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attendances_per_day[weekday + 7 * weektype] |= attendance
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else:
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attendances_per_day[weekday] |= attendance
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attendances_per_day[weekday + 7] |= attendance
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start = start.date()
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if attendance.date_from:
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start = max(start, attendance.date_from)
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until = end.date()
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if attendance.date_to:
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until = min(until, attendance.date_to)
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if attendance.week_type:
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start_week_type = self.env['resource.calendar.attendance'].get_week_type(start)
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if start_week_type != int(attendance.week_type):
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# start must be the week of the attendance
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# if it's not the case, we must remove one week
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start = start + relativedelta(weeks=-1)
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weekday = int(attendance.dayofweek)
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if self.two_weeks_calendar and attendance.week_type:
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days = rrule(WEEKLY, start, interval=2, until=until, byweekday=weekday)
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else:
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days = rrule(DAILY, start, until=until, byweekday=weekday)
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hour_from = attendance.hour_from
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hour_to = attendance.hour_to
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local_result = [
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(
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max(cache_dates[(resource_tz, start_dt)], dt_from_cache(resource_tz, day, hour_from)),
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min(cache_dates[(resource_tz, end_dt)], dt_from_cache(resource_tz, day, hour_to)),
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attendance
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)
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for day in days
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]
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start = start_dt.astimezone(utc)
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end = end_dt.astimezone(utc)
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bounds_per_tz = {
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tz: (start_dt.astimezone(tz), end_dt.astimezone(tz))
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for tz in resources_per_tz.keys()
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}
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# Use the outer bounds from the requested timezones
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for tz, bounds in bounds_per_tz.items():
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start = min(start, bounds[0].replace(tzinfo=utc))
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end = max(end, bounds[1].replace(tzinfo=utc))
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# Generate once with utc as timezone
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days = rrule(DAILY, start.date(), until=end.date(), byweekday=weekdays)
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ResourceCalendarAttendance = self.env['resource.calendar.attendance']
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base_result = []
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per_resource_result = defaultdict(list)
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for day in days:
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week_type = ResourceCalendarAttendance.get_week_type(day)
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attendances = attendances_per_day[day.weekday() + 7 * week_type]
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for attendance in attendances:
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if (attendance.date_from and day < attendance.date_from) or\
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(attendance.date_to and attendance.date_to < day):
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continue
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day_from = datetime.combine(day, float_to_time(attendance.hour_from))
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day_to = datetime.combine(day, float_to_time(attendance.hour_to))
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if attendance.resource_id:
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result[attendance.resource_id.id].extend(local_result)
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per_resource_result[attendance.resource_id].append((day_from, day_to, attendance))
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else:
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for resource in resources_per_tz[resource_tz]:
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result[resource.id].extend(local_result)
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return {r.id: Intervals(result[r.id]) for r in resources_list}
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base_result.append((day_from, day_to, attendance))
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# Copy the result localized once per necessary timezone
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# Strictly speaking comparing start_dt < time or start_dt.astimezone(tz) < time
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# should always yield the same result. however while working with dates it is easier
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# if all dates have the same format
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result_per_tz = {
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tz: [(max(bounds_per_tz[tz][0], tz.localize(val[0])),
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min(bounds_per_tz[tz][1], tz.localize(val[1])),
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val[2])
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for val in base_result]
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for tz in resources_per_tz.keys()
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}
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result_per_resource_id = dict()
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for tz, resources in resources_per_tz.items():
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res = result_per_tz[tz]
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res_intervals = Intervals(res)
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for resource in resources:
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if resource in per_resource_result:
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resource_specific_result = [(max(bounds_per_tz[tz][0], tz.localize(val[0])), min(bounds_per_tz[tz][1], tz.localize(val[1])), val[2])
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for val in per_resource_result[resource]]
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result_per_resource_id[resource.id] = Intervals(itertools.chain(res, resource_specific_result))
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else:
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result_per_resource_id[resource.id] = res_intervals
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return result_per_resource_id
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def _leave_intervals(self, start_dt, end_dt, resource=None, domain=None, tz=None):
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if resource is None:
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