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import mysql.connector
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import pandas as pd
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import db_config
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conn = mysql.connector.connect(
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host=db_config.DB_HOST, port=db_config.DB_PORT,
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user=db_config.DB_USER, password=db_config.DB_PASSWORD,
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database=db_config.DB_NAME,
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)
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cursor = conn.cursor(dictionary=True)
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# Vezmi nejnovější import_id pro každou studii
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for study in ["77242113UCO3001", "42847922MDD3003"]:
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cursor.execute(
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"SELECT MAX(import_id) AS mid FROM iwrs_import WHERE study=%s AND report_type='patients'",
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(study,),
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)
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row = cursor.fetchone()
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mid = row["mid"]
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print(f"\n=== {study} (import_id={mid}) ===")
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cursor.execute("""
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SELECT
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v.subject,
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v.actual_date,
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v.scheduled_date,
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v.irt_transaction_no,
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v.irt_transaction_description,
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v.medication_assignment,
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GROUP_CONCAT(v.medication_id ORDER BY v.medication_id SEPARATOR ', ') AS medication_ids,
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SUM(v.quantity_assigned) AS quantity_assigned
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FROM iwrs_subject_visits v
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WHERE v.import_id = %s AND v.study = %s AND v.visit_type = 'Past'
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AND v.irt_transaction_no IS NOT NULL
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GROUP BY v.subject, v.actual_date, v.scheduled_date, v.irt_transaction_no,
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v.irt_transaction_description, v.medication_assignment
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ORDER BY v.subject, v.actual_date
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LIMIT 20
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""", (mid, study))
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rows = cursor.fetchall()
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df = pd.DataFrame(rows)
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if df.empty:
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print(" Žádná data.")
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else:
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pd.set_option("display.max_columns", None)
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pd.set_option("display.width", 200)
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pd.set_option("display.max_colwidth", 30)
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print(df.to_string(index=False))
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cursor.close()
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conn.close()
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