========================================================================= 2025-08-21 16:25:14 Thu START TASK.01 future_1d future_receipt ========================================================================= 2025-08-21 16:25:16,888 - future_1d - INFO - future_receipt check=True check_last=2 start... 2025-08-21 16:25:26,356 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-20) done 2025-08-21 16:25:27,056 - future_1d - INFO - save future_receipt 2025-08-20 add 2025-08-21 16:25:27,064 - future_1d - INFO - 0 ... 4 date 2025-08-20 ... 2025-08-20 variety AP ... AP fut_name 苹果 ... 苹果 warehouse 富县子午 ... 洛川延刚 receipt_pre None ... None receipt 0.0 ... NaN receipt_chg 0 ... 0 unit 张 ... 张 comd AP ... AP created_at 2025-08-21 16:25:26.977728 ... 2025-08-21 16:25:26.977728 updated_at 2025-08-21 16:25:26.978173 ... 2025-08-21 16:25:26.978173 [11 rows x 5 columns] 2025-08-21 16:25:54,274 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-21) done 2025-08-21 16:25:54,290 - future_1d - INFO - save future_receipt 2025-08-21 failed ========================================================================= 2025-08-21 18:25:50 Thu START TASK.01 future_1d future_receipt ========================================================================= 2025-08-21 18:25:52,615 - future_1d - INFO - future_receipt check=True check_last=2 start... 2025-08-21 18:26:21,219 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-20) done Traceback (most recent call last): File "/root/project/future_1d/future_receipt.py", line 7, inclient.save_future_receipt(check=True, check_last=2) File "/root/project/future_1d/future1d_request.py", line 713, in save_future_receipt data_add = self.get_add_data_keep_left(df_new, df_db) File "/root/project/future_1d/future1d_request.py", line 473, in get_add_data_keep_left df_merged = df_new_unique.merge( File "/usr/local/lib/python3.10/site-packages/pandas/core/frame.py", line 10839, in merge return merge( File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 170, in merge op = _MergeOperation( File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 807, in __init__ self._maybe_coerce_merge_keys() File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 1509, in _maybe_coerce_merge_keys raise ValueError(msg) ValueError: You are trying to merge on float64 and object columns for key 'receipt_pre'. If you wish to proceed you should use pd.concat ========================================================================= 2025-08-21 18:27:25 Thu START TASK.01 future_1d future_receipt ========================================================================= 2025-08-21 18:27:27,402 - future_1d - INFO - future_receipt check=True check_last=2 start... 2025-08-21 18:27:51,193 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-20) done Traceback (most recent call last): File "/root/project/future_1d/future_receipt.py", line 7, in client.save_future_receipt(check=True, check_last=2) File "/root/project/future_1d/future1d_request.py", line 713, in save_future_receipt data_add = self.get_add_data_keep_left(df_new, df_db) File "/root/project/future_1d/future1d_request.py", line 473, in get_add_data_keep_left df_merged = df_new_unique.merge( File "/usr/local/lib/python3.10/site-packages/pandas/core/frame.py", line 10839, in merge return merge( File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 170, in merge op = _MergeOperation( File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 807, in __init__ self._maybe_coerce_merge_keys() File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 1509, in _maybe_coerce_merge_keys raise ValueError(msg) ValueError: You are trying to merge on float64 and object columns for key 'receipt_pre'. If you wish to proceed you should use pd.concat ========================================================================= 2025-08-21 18:28:49 Thu START TASK.01 future_1d future_receipt ========================================================================= 2025-08-21 18:28:51,305 - future_1d - INFO - future_receipt check=True check_last=2 start... 2025-08-21 18:29:13,406 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-20) done Traceback (most recent call last): File "/root/project/future_1d/future_receipt.py", line 7, in client.save_future_receipt(check=True, check_last=2) File "/root/project/future_1d/future1d_request.py", line 713, in save_future_receipt data_add = self.get_add_data_keep_left(df_new, df_db) File "/root/project/future_1d/future1d_request.py", line 473, in get_add_data_keep_left df_merged = df_new_unique.merge( File "/usr/local/lib/python3.10/site-packages/pandas/core/frame.py", line 10839, in merge return merge( File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 170, in merge op = _MergeOperation( File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 807, in __init__ self._maybe_coerce_merge_keys() File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 1509, in _maybe_coerce_merge_keys raise ValueError(msg) ValueError: You are trying to merge on float64 and object columns for key 'receipt_pre'. If you wish to proceed you should use pd.concat ========================================================================= 2025-08-21 18:29:48 Thu START TASK.01 future_1d future_receipt ========================================================================= 2025-08-21 18:29:50,361 - future_1d - INFO - future_receipt check=True check_last=2 start... 2025-08-21 18:30:12,426 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-20) done Traceback (most recent call last): File "/root/project/future_1d/future_receipt.py", line 7, in client.save_future_receipt(check=True, check_last=2) File "/root/project/future_1d/future1d_request.py", line 713, in save_future_receipt data_add = self.get_add_data_keep_left(df_new, df_db) File "/root/project/future_1d/future1d_request.py", line 473, in get_add_data_keep_left df_merged = df_new_unique.merge( File "/usr/local/lib/python3.10/site-packages/pandas/core/frame.py", line 10839, in merge return merge( File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 170, in merge op = _MergeOperation( File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 807, in __init__ self._maybe_coerce_merge_keys() File "/usr/local/lib/python3.10/site-packages/pandas/core/reshape/merge.py", line 1509, in _maybe_coerce_merge_keys raise ValueError(msg) ValueError: You are trying to merge on float64 and object columns for key 'receipt_pre'. If you wish to proceed you should use pd.concat