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
|
# 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)
truncated_end = min(end, prediction)
if truncated_start <= end and truncated_start <= prediction:
considered_periods.append((truncated_start, truncated_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 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 == "event":
events.extend(v)
elif k == "half_project":
half_projects.extend(v)
elif k == "full_project":
full_projects.extend(v)
elif k == "two_years":
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.merge_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
|