85 lines
2.8 KiB
Python
85 lines
2.8 KiB
Python
#!/usr/bin/env python3
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"""L2 每个课时首次通关耗时统计"""
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import psycopg2
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import sys
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conn = psycopg2.connect(
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host="bj-postgres-16pob4sg.sql.tencentcdb.com",
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port=28591,
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user="ai_member",
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password="LdfjdjL83h3h3^$&**YGG*",
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dbname="vala_bi"
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)
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cur = conn.cursor()
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# 获取 L2 所有章节
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cur.execute("""
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SELECT id, course_season, course_unit, course_lesson
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FROM bi_level_unit_lesson
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WHERE course_level = 'L2'
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ORDER BY course_season, course_unit, course_lesson
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""")
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chapters = cur.fetchall()
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results = []
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for cid, season, unit, lesson in chapters:
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# 从8张分表收集该章节的首次完成记录
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first_dones = {} # (user_id, chapter_unique_id) -> first_done_time
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for tbl_idx in range(8):
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cur.execute(f"""
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SELECT user_id, chapter_unique_id, MIN(created_at)
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FROM bi_user_chapter_play_record_{tbl_idx}
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WHERE play_status = 1 AND chapter_id = {cid}
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GROUP BY user_id, chapter_unique_id
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""")
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for row in cur.fetchall():
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uid, cu_id, ts = row
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key = (uid, cu_id)
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if key not in first_dones or ts < first_dones[key][0]:
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first_dones[key] = (ts, cu_id)
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if not first_dones:
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results.append((season, unit, lesson, cid, 0, 0.0))
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continue
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# 对每个首次完成记录，统计组件总耗时
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total_times = []
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for (uid, cu_id), (_, cu_id) in first_dones.items():
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total_ms = 0
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for comp_idx in range(8):
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cur.execute(f"""
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SELECT COALESCE(SUM(interval_time), 0)
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FROM bi_user_component_play_record_{comp_idx}
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WHERE chapter_unique_id = %s
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""", (cu_id,))
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total_ms += cur.fetchone()[0] or 0
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total_times.append(total_ms)
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avg_min = sum(total_times) / len(total_times) / 60000.0
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results.append((season, unit, lesson, cid, len(total_times), round(avg_min, 1)))
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print(f" {season} {unit} {lesson} (id={cid}): {len(total_times)}人, 平均{round(avg_min, 1)}分钟")
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# 输出汇总
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print("\n===== 汇总 =====")
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print(f"{'Season':<6} {'Unit':<6} {'Lesson':<8} {'ChapterID':<10} {'完成人数':<10} {'平均用时(分钟)':<15}")
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for r in results:
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print(f"{r[0]:<6} {r[1]:<6} {r[2]:<8} {r[3]:<10} {r[4]:<10} {r[5]:<15}")
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# 按单元汇总
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from collections import defaultdict
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unit_stats = defaultdict(lambda: {"count": 0, "avg": 0.0, "lessons": 0})
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for r in results:
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key = f"{r[0]}_{r[1]}"
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unit_stats[key]["count"] += r[4]
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unit_stats[key]["avg"] += r[5]
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unit_stats[key]["lessons"] += 1
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print("\n===== 按单元汇总 =====")
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print(f"{'Unit':<10} {'完成人数(合计)':<15} {'平均用时(分钟)':<15}")
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for key, stats in sorted(unit_stats.items()):
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print(f"{key:<10} {stats['count']:<15} {round(stats['avg']/stats['lessons'], 1):<15}")
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cur.close()
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conn.close()
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