=========================================================================
2025-08-12 16:25:48 Tue	START TASK.01	future_1d  future_receipt
=========================================================================
2025-08-12 16:25:50,267 - future_1d - INFO - future_receipt check=True check_last=2 start...
2025-08-12 16:25:57,369 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-11) 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
=========================================================================
2025-08-12 16:26:39 Tue	START TASK.01	future_1d  future_receipt
=========================================================================
2025-08-12 16:26:41,067 - future_1d - INFO - future_receipt check=True check_last=2 start...
2025-08-12 16:26:47,582 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-11) 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
=========================================================================
2025-08-12 16:27:55 Tue	START TASK.01	future_1d  future_receipt
=========================================================================
2025-08-12 16:27:57,675 - future_1d - INFO - future_receipt check=True check_last=2 start...
2025-08-12 16:28:04,142 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-11) 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
=========================================================================
2025-08-12 16:29:01 Tue	START TASK.01	future_1d  future_receipt
=========================================================================
2025-08-12 16:29:02,932 - future_1d - INFO - future_receipt check=True check_last=2 start...
2025-08-12 16:29:08,920 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-11) 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
=========================================================================
2025-08-12 18:25:17 Tue	START TASK.01	future_1d  future_receipt
=========================================================================
2025-08-12 18:25:19,615 - future_1d - INFO - future_receipt check=True check_last=2 start...
2025-08-12 18:25:26,017 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-11) 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
=========================================================================
2025-08-12 18:26:06 Tue	START TASK.01	future_1d  future_receipt
=========================================================================
2025-08-12 18:26:07,884 - future_1d - INFO - future_receipt check=True check_last=2 start...
2025-08-12 18:26:13,957 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-11) 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
=========================================================================
2025-08-12 18:27:04 Tue	START TASK.01	future_1d  future_receipt
=========================================================================
2025-08-12 18:27:06,140 - future_1d - INFO - future_receipt check=True check_last=2 start...
2025-08-12 18:27:12,189 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-11) 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
=========================================================================
2025-08-12 18:28:24 Tue	START TASK.01	future_1d  future_receipt
=========================================================================
2025-08-12 18:28:26,178 - future_1d - INFO - future_receipt check=True check_last=2 start...
2025-08-12 18:28:33,141 - future_1d - INFO - pro.fut_wsr(trade_date=2025-08-11) 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