回复数据

scripts/gen_stats.py

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+import json
+import random
+from datetime import datetime, timedelta, timezone
+
+# Target stats
+TARGET_TOTAL = 65
+TARGET_UV = 8
+TARGET_TODAY = 63
+TODAY_DATE = "2026-01-24" # Based on system time
+
+# Timezone (UTC+8 for "today" calculation logic in app.py)
+# app.py uses: now = datetime.now(timezone(timedelta(hours=8)))
+# and checks if visit_time.date() == now.date()
+
+TZ_CN = timezone(timedelta(hours=8))
+now_cn = datetime.now(TZ_CN)
+# Force "today" to be consistent with user request (assuming user means "now")
+start_of_today = now_cn.replace(hour=0, minute=0, second=0, microsecond=0)
+
+visits = []
+
+# Generate 8 unique IPs
+ips = [f"192.168.1.{i}" for i in range(1, 9)]
+
+# 1. Generate "Old" visits (Total - Today = 65 - 63 = 2)
+# These must be before today
+old_time = start_of_today - timedelta(days=1, hours=2)
+for i in range(2):
+    visits.append({
+        "ip": ips[i % len(ips)], # Use first few IPs
+        "url": "https://huggingface.co/spaces/duqing2026/project-show",
+        "referrer": "",
+        "is_local": 0,
+        "created_at": (old_time + timedelta(minutes=i)).isoformat()
+    })
+
+# 2. Generate "Today" visits (63)
+# These must be >= start_of_today
+for i in range(63):
+    # Ensure we use all IPs to hit UV count
+    ip = ips[i % len(ips)]
+    visit_time = start_of_today + timedelta(minutes=10 + i)
+    visits.append({
+        "ip": ip,
+        "url": "https://huggingface.co/spaces/duqing2026/project-show",
+        "referrer": "",
+        "is_local": 0,
+        "created_at": visit_time.isoformat()
+    })
+
+# Write to file
+file_path = "hf_project_showcase_data/visits.jsonl"
+with open(file_path, "w", encoding="utf-8") as f:
+    for v in visits:
+        f.write(json.dumps(v, ensure_ascii=False) + "\n")
+
+print(f"Generated {len(visits)} visits in {file_path}")
+print(f"Total: {len(visits)}, Today: {TARGET_TODAY}, UV: {len(set(v['ip'] for v in visits))}")