88 lines
2.9 KiB
Python
88 lines
2.9 KiB
Python
from flask import jsonify
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class Workout:
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def __init__(self, db_connection_method):
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self.execute = db_connection_method
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def get(self, person_id, workout_id):
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query = """
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SELECT
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w.workout_id,
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w.person_id,
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p.name AS person_name,
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w.start_date,
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w.note,
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t.topset_id,
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e.exercise_id,
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e.name AS exercise_name,
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t.repetitions,
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t.weight,
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tag.tag_id,
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tag.name AS tag_name,
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tag.filter as tag_filter,
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CASE WHEN wt.workout_id IS NOT NULL THEN TRUE ELSE FALSE END AS is_selected
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FROM
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workout w
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LEFT JOIN
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person p ON w.person_id = p.person_id
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LEFT JOIN
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topset t ON w.workout_id = t.workout_id
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LEFT JOIN
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exercise e ON t.exercise_id = e.exercise_id
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LEFT JOIN
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workout_tag wt ON w.workout_id = wt.workout_id
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LEFT JOIN
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tag ON TRUE -- Join to get all tags
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WHERE
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w.person_id = %s
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AND w.workout_id = %s;
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"""
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data = self.execute(query, [person_id, workout_id])
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if not data:
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return {"error": "Workout not found"}, 404
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# Initialize workout dictionary
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workout_data = {
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"workout_id": data[0]["workout_id"],
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"person_id": data[0]["person_id"],
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"person_name": data[0]["person_name"],
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"start_date": data[0]["start_date"],
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"note": data[0]["note"],
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"tags": [],
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"top_sets": [],
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}
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# Initialize helpers for tracking unique tags and topsets
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tag_set = set()
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topsets_seen = set()
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# Process each row and add tags and topsets to workout_data
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for row in data:
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# Add all unique tags with is_selected property
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tag_id = row["tag_id"]
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if tag_id and tag_id not in tag_set:
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workout_data["tags"].append({
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"tag_id": tag_id,
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"tag_name": row["tag_name"],
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"tag_filter": row["tag_filter"],
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"person_id": person_id,
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"is_selected": row["is_selected"]
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})
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tag_set.add(tag_id)
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# Add unique topsets based on topset_id
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topset_id = row["topset_id"]
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if topset_id and topset_id not in topsets_seen:
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workout_data["top_sets"].append({
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"topset_id": topset_id,
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"exercise_id": row["exercise_id"],
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"exercise_name": row["exercise_name"],
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"repetitions": row["repetitions"],
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"weight": row["weight"]
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})
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topsets_seen.add(topset_id)
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return workout_data
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