调整金额

PyModel/batch_predict_betting_v8.py

@@ -63,6 +63,15 @@ def get_history_records(data_dirs):
     return all_records
 
 
+def generate_time_series(start, end):
+    current = start
+    series = []
+    while current <= end:
+        series.append(current)
+        current += timedelta(minutes=5)
+    return series
+
+
 def main(next_period_time, df):
     entry = {
         "id": next_period_time.strftime('%Y%m%d%H%M'),
@@ -77,22 +86,37 @@ def main(next_period_time, df):
     if next_period_time.strftime('%H:%M:%S') in EMPTY_TIME_WINDOWS:
         return entry
 
+    result = []
     predictor = LotteryPredictorV14Profit()
-
     next_period_time = pd.to_datetime(next_period_time)
-    recent_x = df[df['time'] < next_period_time].tail(10000)
-    predictor.check_init_daily_pnl_tracker(next_period_time)
-    predictions = predictor.predict(next_period_time, recent_x)
+    start_time, _ = predictor.check_init_daily_pnl_tracker(next_period_time)
+    time_series = generate_time_series(start_time, next_period_time)
 
-    for pos, nums_bet in predictions.items():
-        if not nums_bet:
-            continue
-        entry['result'][pos] = nums_bet
+    for dt in time_series:
+        entry = {
+            "id": dt.strftime('%Y%m%d%H%M'),
+            "time": dt.strftime('%Y-%m-%d %H:%M:%S'),
+            "result": {i: {n: None for n in range(1, 11)} for i in range(10)},
+            "result_detail": {i: {"单": None, "双": None, "大": None, "小": None} for i in range(10)},
+            "winner": {},
+            "GD1": {"冠亚大": None, "冠亚小": None},
+            "GD2": {"冠亚单": None, "冠亚双": None},
+            "GLH_result": {}
+        }
+        current_time = pd.to_datetime(dt)
+        recent_x = df[df['time'] < current_time].tail(10000)
+        predictions = predictor.predict(current_time, recent_x)
 
-    last_result = df[df['time'] == next_period_time]
-    if last_result.size != 0:
-        predictor.update_result(last_result, entry)
-    return entry
+        for pos, nums_bet in predictions.items():
+            if not nums_bet:
+                continue
+            entry['result'][pos] = nums_bet
+
+        last_result = df[df['time'] == current_time]
+        if last_result.size != 0:
+            predictor.update_result(last_result, entry)
+        result.append(entry)
+    return result[-1]
 
 
 if __name__ == "__main__":
@@ -101,7 +125,7 @@ if __name__ == "__main__":
     all_records = get_history_records(data_dirs)
     parser = argparse.ArgumentParser(description="下一期时间 next_period_time, 例: 2026-01-02 06:00:00")
     # 必选位置参数（直接传入值，无需前缀）
-    parser.add_argument("--next_period_time", type=str, help="下一期时间, 例: 2026-01-02 06:00:00", default="2026-01-02 06:00:00")
+    parser.add_argument("--next_period_time", type=str, help="下一期时间, 例: 2026-01-02 06:00:00", default="2026-01-02 07:05:00")
     args = parser.parse_args()
     fmt = "%Y-%m-%d %H:%M:%S"
     next_period_time = datetime.strptime(args.next_period_time, fmt)