def get_daily_evening_commute_sections(user_id, day):
# say should be from 1 to 5
# get a list of all the sections for Mon, or ...
earlist_start = 5
earlist_end = 15
Sections = edb.get_section_db()
list_of_commute = []
candidate_sections = []
home = eamh.detect_home(user_id)
work = eamw.detect_daily_work_office(user_id, day)
if work == 'N/A':
return []
else:
# print(list_first_pnt)
for section in Sections.find({"$and":[{"user_id": user_id},{ "section_start_point": { "$ne": None }},\
{'commute':{ "$exists": False }}]}):
time2 = ec.parse_time(section['section_start_time'])
if (ec.Is_date(section['section_start_time'],day) and (time2 - time2.replace(hour=0, minute=0, second=0, microsecond=0)).total_seconds()/3600>earlist_end) or \
(ec.Is_date(section['section_start_time'],day+1) and (time2 - time2.replace(hour=0, minute=0, second=0, microsecond=0)).total_seconds()/3600<earlist_start):
candidate_sections.append(section)
if len(candidate_sections) > 0:
candidate_sections = sorted(
candidate_sections,
key=lambda k: parser.parse(k['section_start_time']))
min_sec = len(candidate_sections)
for i in range(len(candidate_sections) - 1, -1, -1):
if i <= min_sec:
if ec.Is_place(candidate_sections[i]['section_end_point'],
home, 200):
for j in range(i, -1, -1):
if ec.Is_place(candidate_sections[j]['section_start_point'],work,200) and \
ec.travel_time(candidate_sections[j]['section_start_time'],\
candidate_sections[i]['section_end_time'])<=24*60*60:
sections_todo = []
sections_todo.extend(candidate_sections[j:i +
1])
list_of_commute.append(sections_todo)
min_sec = j - 1
break
return list_of_commute
def get_daily_morning_commute_sections(user_id, day):
# say should be from 1 to 5
# get a list of all the sections for Mon, or ...
Sections = edb.get_section_db()
list_of_commute = []
candidate_sections = []
home = eamh.detect_home(user_id)
work = eamw.detect_daily_work_office(user_id, day)
if work == 'N/A':
return []
else:
# print(list_first_pnt)
for section in Sections.find({"$and":[{"user_id": user_id},{ "section_start_point": { "$ne": None }},\
{'commute':{ "$exists": False }}]}):
if ec.Is_date(section['section_start_time'], day):
candidate_sections.append(section)
if len(candidate_sections) > 0:
candidate_sections = sorted(
candidate_sections,
key=lambda k: parser.parse(k['section_start_time']))
max_sec = 0
for i in range(len(candidate_sections)):
if i >= max_sec:
if ec.Is_place(
candidate_sections[i]['section_start_point'], home,
200):
for j in range(i, len(candidate_sections)):
if ec.Is_place(candidate_sections[j]['section_end_point'],work,200) and \
ec.travel_time(candidate_sections[i]['section_start_time'],\
candidate_sections[j]['section_end_time'])<=24*60*60:
sections_todo = []
sections_todo.extend(candidate_sections[i:j +
1])
list_of_commute.append(sections_todo)
max_sec = j + 1
break
return list_of_commute
def get_work_end_time(user_id, day):
# day should be from 1 to 5
# get a list of work starttime for Mon, or ...
Sections = edb.get_section_db()
list_of_time = []
candidate_pnts = []
work = wp.detect_daily_work_office(user_id, day)
for section in Sections.find(
{'$and': [{
"user_id": user_id
}, {
"commute": 'from'
}]}):
if work != 'N/A' and ec.Is_place(section['section_start_point'], work,
200):
list_of_time.append(section['section_end_time'])
return list_of_time
def detect_work_office(user_id):
Sections = edb.get_section_db()
office_candidate = []
home = eamh.detect_home(user_id)
if home == 'N/A':
return 'N/A'
# Else, get home locations
# print(list_first_pnt)
for section in Sections.find({
"$and": [{
"user_id": user_id
}, {
"section_start_point": {
"$ne": None
}
}]
}):
section_start_pnt = section['section_start_point']
section_end_pnt = section['section_end_point']
if ec.Is_weekday(section['section_start_time']) == True:
# parameter that the distance away from home:
away_home = 400
if not ec.Is_place(section_start_pnt, home,
away_home) and not ec.Is_place(
section_end_pnt, home, away_home):
office_candidate.append(section['track_points'][0])
office_candidate.append(section['track_points'][-1])
elif ec.Is_place(section_start_pnt, home,
away_home) and not ec.Is_place(
section_end_pnt, home, away_home):
office_candidate.append(section['track_points'][-1])
elif not ec.Is_place(section_start_pnt, home,
away_home) and ec.Is_place(
section_end_pnt, home, away_home):
office_candidate.append(section['track_points'][0])
if len(office_candidate) > 0:
office_candidate = sorted(office_candidate,
key=lambda k: parser.parse(k['time']))
# print(office_candidate)
weighted_office_candidate = ec.get_static_pnts(office_candidate)
office_location = ec.most_common(weighted_office_candidate, 200)
# print(len(office_candidate))
# print(len(weighted_office_candidate))
# print(ec.calculate_appearance_rate(office_candidate,office_location))
# print(ec.calculate_appearance_rate(weighted_office_candidate,office_location))
return office_location
else:
return 'N/A'