1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
|
# date_calculator.py
from datetime import datetime, timedelta
from dateutil.relativedelta import relativedelta
import math
class DateCalculator:
@staticmethod
def truncate_periods(periods, launch, prediction):
considered_periods = []
for start, end, id in periods:
# print(start)
# print(launch)
truncated_start = max(start, launch)
if truncated_start <= end:
considered_periods.append((truncated_start, end, id))
return considered_periods
@staticmethod
def round_periods(periods):
rounded_periods = []
total_months = 0
for start, end, id in periods:
year_diff = end.year - start.year
month_diff = end.month - start.month
months = year_diff * 12 + month_diff
if end.day >= start.day:
months += 1
rounded_end = start + relativedelta(months=months) - timedelta(days=1)
rounded_periods.append((start, rounded_end, id))
total_months += months
return rounded_periods, total_months
@staticmethod
def merge_periods(periods):
if not periods:
return []
periods.sort()
merged_periods = []
current_start, current_end, current_id = periods[0]
for start, end, id in periods[1:]:
if start <= current_end + timedelta(days=1):
current_end = max(current_end, end)
else:
merged_periods.append((current_start, current_end, current_id))
current_start, current_end, current_id = start, end, id
merged_periods.append((current_start, current_end, current_id))
return merged_periods
@staticmethod
def adjust_periods(periods):
"""Adjust overlapping periods without merging.
- Later periods overlapping with a previous one have their start moved to the previous end + 1 day.
- Periods fully contained in a previous one are discarded.
"""
if not periods:
return []
# Sort by start date, then end date for stability
periods = sorted(periods, key=lambda p: (p[0], p[1]))
adjusted = []
for start, end, pid in periods:
if not adjusted:
adjusted.append((start, end, pid))
continue
last_start, last_end, last_pid = adjusted[-1]
if start <= last_end:
# Fully contained in previous period → discard
if end <= last_end:
continue
# Overlaps head; push start to the day after last_end
new_start = last_end + timedelta(days=1)
if new_start <= end:
adjusted.append((new_start, end, pid))
# else new_start > end → discard
else:
adjusted.append((start, end, pid))
return adjusted
@staticmethod
def find_non_overlapping_periods(existing_periods, test_period):
existing_periods.sort(key=lambda x: x[0])
test_start, test_end, id = test_period
non_overlapping_periods = []
for start, end, _ in existing_periods:
if test_end < start:
non_overlapping_periods.append((test_start, test_end, id))
return non_overlapping_periods
elif test_start > end:
continue
else:
if test_start < start:
non_overlapping_periods.append((test_start, start - timedelta(days=1), id))
test_start = end + timedelta(days=1)
if test_start <= test_end:
non_overlapping_periods.append((test_start, test_end, id))
return non_overlapping_periods
def calculate_prediction(self, launch_date, duration, **kwargs):
total_days = 0
total_months = 0
updated = True
prediction_start = launch_date + duration - timedelta(days = 1)
prediction = prediction_start
events = []
half_projects = []
full_projects = []
other_kwargs = {}
for k, v in kwargs.items():
if k == "Sonstige":
events.extend(v)
elif k == "EZ 50%":
half_projects.extend(v)
elif k == "EZ 100%":
full_projects.extend(v)
elif k == "EZ pauschal":
full_projects.extend(v)
else:
other_kwargs[k] = v
while updated:
updated = False
considered_events = self.truncate_periods(events, launch_date, prediction)
considered_full_projects = self.truncate_periods(full_projects, launch_date, prediction)
considered_half_projects = self.truncate_periods(half_projects, launch_date, prediction)
considered_full_projects_merged = self.merge_periods(considered_full_projects)
considered_full_projects_rounded, months = self.round_periods(considered_full_projects_merged)
considered_full_projects_merged2 = self.merge_periods(considered_full_projects_rounded)
considered_full_projects_rounded2, months = self.round_periods(considered_full_projects_merged2)
non_overlapping_half_projects = []
for test_interval in considered_half_projects:
non_overlapping_half_projects.extend(
self.find_non_overlapping_periods(considered_full_projects_rounded2, test_interval)
)
considered_half_projects_merged = self.merge_periods(non_overlapping_half_projects)
considered_half_projects_rounded, months2 = self.round_periods(considered_half_projects_merged)
considered_half_projects_merged2 = self.merge_periods(considered_half_projects_rounded)
considered_half_projects_rounded2, months2 = self.round_periods(considered_half_projects_merged2)
all_projects_merged = self.merge_periods(
considered_full_projects_rounded2 + considered_half_projects_rounded2
)
merged_event_periods = self.adjust_periods(considered_events)
non_overlapping_event_periods = []
for test_interval in merged_event_periods:
non_overlapping_event_periods.extend(
self.find_non_overlapping_periods(all_projects_merged, test_interval)
)
new_total_months = months + math.ceil(months2 / 2)
new_total_days = sum((end - start).days + 1 for start, end, _ in non_overlapping_event_periods)
if new_total_days != total_days or new_total_months != total_months:
total_days = new_total_days
total_months = new_total_months
updated = True
prediction = launch_date + duration + relativedelta(months=total_months) + timedelta(days=total_days-1)
# print(prediction, prediction_start + relativedelta(years = 6))
if prediction > prediction_start + relativedelta(years = 6):
prediction = prediction_start + relativedelta(years = 6)
return prediction, considered_full_projects_rounded2 + considered_half_projects_rounded2 + non_overlapping_event_periods
|
