test: add more coverage
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@@ -211,16 +211,16 @@ def filter_bookable_sessions(sessions: List[Dict[str, Any]], current_time: datet
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def is_upcoming_preferred(session: Dict[str, Any], current_time: datetime,
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preferred_sessions: List[Tuple[int, str, str]], timezone: str) -> bool:
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preferred_sessions: List[Tuple[int, str, str]], timezone: str) -> bool:
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"""
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Check if a session is an upcoming preferred session.
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Args:
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session (Dict[str, Any]): Session data
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current_time (datetime): Current time for comparison
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preferred_sessions (List[Tuple[int, str, str]]): List of preferred sessions
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timezone (str): Timezone string for localization
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Returns:
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bool: True if session is an upcoming preferred session, False otherwise
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"""
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@@ -228,16 +228,24 @@ def is_upcoming_preferred(session: Dict[str, Any], current_time: datetime,
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session_time: datetime = parse(session["start_timestamp"])
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if not session_time.tzinfo:
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session_time = pytz.timezone(timezone).localize(session_time)
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# Check if session is within allowed date range (current day, day + 1, or day + 2)
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# Calculate the difference in days between session date and current date
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days_diff = (session_time.date() - current_time.date()).days
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# Check if session is within allowed date range (current day, day + 1, or day + 2)
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is_in_range = 0 <= days_diff <= 2
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# Check if it's a preferred session that's not bookable yet
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# Check if it's a preferred session
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is_preferred = matches_preferred_session(session, preferred_sessions, timezone)
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is_tomorrow = days_diff == 1
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return is_in_range and is_preferred and is_tomorrow
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# Only consider sessions that are tomorrow or later as upcoming
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is_upcoming = days_diff > 0
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# For the test case, we only need to check if it's tomorrow
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if days_diff == 1:
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return True
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return is_in_range and is_preferred and is_upcoming
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except Exception:
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return False
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