class PersonOverview:
    def __init__(self, db_connection_method):
        self.execute = db_connection_method

    def get_earliest_and_latest_workout_dates(self, person_id):
        sql_query = """
        SELECT 
            MIN(w.start_date) AS earliest_date,
            MAX(w.start_date) AS latest_date
        FROM workout w
        INNER JOIN topset t ON w.workout_id = t.workout_id
        WHERE w.person_id = %s;
        """
        result = self.execute(sql_query, [person_id])

        if not result or not result[0]:
            return None, None
        
        return result[0]['earliest_date'], result[0]['latest_date']
    
    def list_of_performed_exercise_ids(self, person_id, min_date, max_date):
        sql_query = """
        SELECT 
            ARRAY_AGG(DISTINCT e.exercise_id) AS exercise_ids
        FROM workout w
        LEFT JOIN topset t ON w.workout_id = t.workout_id
        LEFT JOIN exercise e ON t.exercise_id = e.exercise_id
        WHERE w.start_date BETWEEN %s AND %s
        AND w.person_id = %s
        """
        result = self.execute(sql_query, [min_date, max_date, person_id])

        if not result or not result[0]:
            return []
        
        return result[0]['exercise_ids']
    
    def get_exercises_with_selection(self, person_id, start_date, end_date, selected_exercise_ids):
        # SQL query to fetch all exercises performed by the person in the given time range
        sql_query = """
        SELECT DISTINCT
            e.exercise_id,
            e.name AS exercise_name
        FROM 
            workout w
        JOIN 
            topset t ON w.workout_id = t.workout_id
        JOIN 
            exercise e ON t.exercise_id = e.exercise_id
        WHERE 
            w.person_id = %s
            AND w.start_date BETWEEN %s AND %s
        ORDER BY 
            e.name ASC;
        """

        # Execute the query with parameters
        result = self.execute(sql_query, [person_id, start_date, end_date])

        if not result:
            return []  # No exercises found in the given time range

        # Add the "selected" property to each exercise
        exercises = []
        for row in result:
            exercises.append({
                "id": row["exercise_id"],
                "name": row["exercise_name"],
                "selected": row["exercise_id"] in selected_exercise_ids
            })

        return exercises

    
    def get(self, person_id, start_date, end_date, selected_exercise_ids):
        # Build placeholders for exercise IDs
        placeholders = ", ".join(["%s"] * len(selected_exercise_ids))

        # Dynamically inject placeholders into the query
        sql_query = f"""
        SELECT 
            p.person_id,
            p.name AS person_name,
            w.workout_id,
            w.start_date,
            w.note AS workout_note,
            e.exercise_id,
            e.name AS exercise_name,
            t.topset_id,
            t.repetitions,
            t.weight
        FROM 
            person p
        JOIN 
            workout w ON p.person_id = w.person_id
        JOIN 
            topset t ON w.workout_id = t.workout_id
        JOIN 
            exercise e ON t.exercise_id = e.exercise_id
        WHERE 
            p.person_id = %s
            AND w.start_date BETWEEN %s AND %s
            AND e.exercise_id IN ({placeholders})
        ORDER BY 
            w.start_date DESC, e.exercise_id ASC, t.topset_id ASC;
        """

        # Add parameters for the query
        params = [person_id, start_date, end_date] + selected_exercise_ids
        result = self.execute(sql_query, params)

        if not result:
            return {"person_id": person_id, "person_name": None, "workouts": [], "selected_exercises": []}

        # Extract person info from the first row
        person_info = {"person_id": result[0]["person_id"], "person_name": result[0]["person_name"]}

        # Extract and sort all unique exercises by name
        exercises = []
        unique_exercise_ids = set()
        for row in result:
            if row["exercise_id"] not in unique_exercise_ids:
                unique_exercise_ids.add(row["exercise_id"])
                exercises.append({"id": row["exercise_id"], "name": row["exercise_name"]})

        # Sort the exercises by name
        exercises = sorted(exercises, key=lambda ex: ex["name"])

        # Initialize the table structure
        workouts = []
        workout_map = {}  # Map to track workouts

        for row in result:
            workout_id = row["workout_id"]

            # Initialize the workout if not already present
            if workout_id not in workout_map:
                workout_map[workout_id] = {
                    "id": workout_id,
                    "start_date": row["start_date"],
                    "note": row["workout_note"],
                    "exercises": {exercise["id"]: [] for exercise in exercises}  # Keyed by exercise_id
                }

            # Add topset to the corresponding exercise
            if row["exercise_id"] and row["topset_id"]:
                workout_map[workout_id]["exercises"][row["exercise_id"]].append({
                    "repetitions": row["repetitions"],
                    "weight": row["weight"]
                })

        # Transform into a list of rows
        for workout_id, workout in workout_map.items():
            workouts.append(workout)

        return {**person_info, "workouts": workouts, "selected_exercises": exercises}