from datetime import timedelta from statistics import mean SCALES = [ ('minutes', timedelta(minutes=1)), ('hours', timedelta(hours=1)), ('days', timedelta(days=1)), ('weeks', timedelta(days=7)), ('months', timedelta(days= # you, a fool: a month is 30 days # me, wise: mean((31, mean((29 if year % 400 == 0 or (year % 100 != 0 and year % 4 == 0) else 28 for year in range(400))) ,31,30,31,30,31,31,30,31,30,31)) )), ('years', timedelta(days= # you, a fool: ok. a year is 365.25 days. happy? # me, wise: absolutely not mean((366 if year % 400 == 0 or (year % 100 != 0 and year % 4 == 0) else 365 for year in range(400))) )), ] def decompose_interval(attrname): scales = [scale[1] for scale in SCALES] scales.reverse() def decorator(cls): scl_name = '{}_scale'.format(attrname) sig_name = '{}_significand'.format(attrname) @property def scale(self): if getattr(self, attrname) == timedelta(0): return timedelta(minutes=1) for m in scales: if getattr(self, attrname) % m == timedelta(0): return m return timedelta(minutes=1) @scale.setter def scale(self, value): if(type(value) != timedelta): value = timedelta(seconds=float(value)) setattr(self, attrname, max(1, getattr(self, sig_name)) * value) @property def significand(self): return int(getattr(self, attrname) / getattr(self, scl_name)) @significand.setter def significand(self, value): if type(value) == str and value.strip() == '': value = 0 try: value = int(value) assert value >= 0 except (ValueError, AssertionError) as e: raise ValueError("Incorrect time interval", e) setattr(self, attrname, value * getattr(self, scl_name)) setattr(cls, scl_name, scale) setattr(cls, sig_name, significand) return cls return decorator