Remove the old measurement-only query script

query_sample.py

@@ -1,80 +0,0 @@
-#!/usr/bin/env python3
-"""Run SQL against the sample Parquet, a local file, or a direct HTTPS URL."""
-import argparse
-from pathlib import Path
-
-import duckdb
-
-
-def main():
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument(
-        'source', nargs='?',
-        default=str(Path(__file__).with_name('cycling_sample.parquet')),
-        help='Local Parquet path or direct public HTTP(S) file URL',
-    )
-    parser.add_argument('--sql', help='Optional SQL query; the table is named samples')
-    parser.add_argument('--check', action='store_true', help='Validate the 600-row demo schema and reference values')
-    args = parser.parse_args()
-
-    with duckdb.connect(':memory:') as con:
-        con.read_parquet(args.source).create_view('samples')
-        if args.check:
-            actual = [(r[0], r[1]) for r in con.sql('DESCRIBE samples').fetchall()]
-            expected = [('athlete_id', 'VARCHAR'), ('activity_id', 'INTEGER'), ('secs', 'INTEGER')]
-            expected += [(name, 'DOUBLE') for name in ['km', 'power', 'hr', 'cad', 'alt']]
-            if actual != expected:
-                raise SystemExit(f'Unexpected schema: {actual}')
-            values = con.sql('''
-                SELECT COUNT(*), MIN(secs), MAX(secs), ROUND(AVG(power), 2),
-                       COUNT(power), COUNT(DISTINCT (athlete_id, activity_id))
-                FROM samples
-            ''').fetchone()
-            if values != (600, 0, 599, 253.3, 600, 1):
-                raise SystemExit(f'Unexpected demo values: {values}')
-            print('PASS: numeric types, 600 rows, one activity, seconds 0..599, mean power 253.30 W')
-        if args.sql:
-            con.sql(args.sql).show()
-            return
-
-        print('\nSchema:')
-        con.sql('DESCRIBE samples').show()
-
-        print('\nActivity summary:')
-        con.sql('''
-            SELECT
-                athlete_id,
-                activity_id,
-                COUNT(*) AS sample_count,
-                MIN(secs) AS first_second,
-                MAX(secs) AS last_second,
-                ROUND(AVG(power), 2) AS average_power_w,
-                ROUND(AVG(hr), 2) AS average_heart_rate
-            FROM samples
-            GROUP BY athlete_id, activity_id
-        ''').show()
-
-        print('\nFirst five samples:')
-        con.sql('''
-            SELECT secs, km, power, hr, cad, alt
-            FROM samples
-            ORDER BY athlete_id, activity_id, secs
-            LIMIT 5
-        ''').show()
-
-        print('\nMean power per minute:')
-        con.sql('''
-            SELECT
-                athlete_id,
-                activity_id,
-                CAST(FLOOR(secs / 60) AS INTEGER) AS minute,
-                COUNT(*) AS sample_count,
-                ROUND(AVG(power), 2) AS average_power_w
-            FROM samples
-            GROUP BY athlete_id, activity_id, minute
-            ORDER BY athlete_id, activity_id, minute
-        ''').show()
-
-
-if __name__ == '__main__':
-    main()