def resolve_by_timerange_constraints(candidates, timex_constraints):
timerange_contraints = list(
map(
lambda ti: TimexHelpers.timerange_from_timex(ti),
filter(lambda t: Constants.TIMEX_TYPES_TIMERANGE in t.types,
timex_constraints)))
collapsed_time_ranges = TimexConstraintsHelper.collapse(
TimexConstraintsHelper(), timerange_contraints)
if not any(collapsed_time_ranges):
return candidates
resolution = []
for timex in candidates:
t = Timex(timex)
if Constants.TIMEX_TYPES_TIMERANGE in t.types:
r = TimexRangeResolver.resolve_timerage(
t, collapsed_time_ranges)
resolution.extend(r)
elif Constants.TIMEX_TYPES_TIME in t.types:
r = TimexRangeResolver.resolve_time(t, collapsed_time_ranges)
resolution.extend(r)
return TimexRangeResolver.remove_duplicates(resolution)
def resolve_timerage(timex: Timex, constraints: [TimeRange]):
candidate = TimexHelpers.timerange_from_timex(timex)
result = []
for contraint in constraints:
if candidate.is_overlapping(contraint):
start = max(candidate.start.get_time(),
contraint.start.get_time())
time = Time.from_seconds(start)
resolved = copy.copy(timex)
resolved.part_of_day = None
resolved.seconds = None
resolved.minutes = None
resolved.hours = None
resolved.second = time.second
resolved.minute = time.minute
resolved.hour = time.hour
result.append(resolved.timex_value())
return result