Merge remote-tracking branch 'origin/main'

# Conflicts:
#	bb_trade_log_20260228.txt

bb_trade.py

@@ -339,6 +339,11 @@ class BBTrader:
         except Exception as e:
             logger.warning(f"写入日志失败: {e}")
 
+    def login(self):
+        self.page.ele('x://input[@placeholder="邮箱"]').input("ddrwode@gmail.com")
+        self.page.ele('x://input[@placeholder="密码"]').input("040828cjj")
+        self.page.ele('x://*[@id="__layout"]/div/div[2]/div/div[2]/div/div/div[2]/div[1]/div[2]/div/div[1]/div[2]/form/div[3]/div/button').click()
+
     # ------------------------------------------------------------------
     # 主循环（浏览器流程与四分之一代码一致）
     # ------------------------------------------------------------------
@@ -377,6 +382,8 @@ class BBTrader:
                     logger.error("打开浏览器失败！")
                     return
 
+                # self.login()
+
                 self.page.get(self.cfg.TRADE_URL)
                 time.sleep(2)
                 # 点击市价模式

bb_trade_log_20260301.txt

@@ -0,0 +1,368 @@
+
+============================================================
+时间: 2026-03-01 03:34:26
+操作: 加仓空#1
+价格: 1945.80
+BB上轨: 1942.91 | 中轨: 1928.45 | 下轨: 1913.99
+原因: 价格最高1945.80触及上轨1942.91，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 03:35:28
+操作: 加仓空#2
+价格: 1946.06
+BB上轨: 1947.60 | 中轨: 1930.12 | 下轨: 1912.64
+原因: 价格最高1948.81触及上轨1947.60，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 04:20:55
+操作: 加仓空#3
+价格: 1956.54
+BB上轨: 1958.72 | 中轨: 1947.07 | 下轨: 1935.42
+原因: 价格最高1963.78触及上轨1958.72，BB(10,2.5) (加仓#3/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 06:37:04
+操作: 开空
+价格: 1981.98
+BB上轨: 1971.65 | 中轨: 1961.60 | 下轨: 1951.55
+原因: 价格最高1982.00触及上轨1971.65，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 08:04:15
+操作: 加仓空#1
+价格: 1968.36
+BB上轨: 1967.65 | 中轨: 1961.56 | 下轨: 1955.46
+原因: 价格最高1968.37触及上轨1967.65，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 09:11:15
+操作: 翻转: 平空→开多
+价格: 1948.38
+BB上轨: 1965.27 | 中轨: 1957.74 | 下轨: 1950.20
+原因: 价格最低1948.07触及下轨1950.20，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 09:15:44
+操作: 加仓多#1
+价格: 1946.42
+BB上轨: 1966.34 | 中轨: 1956.43 | 下轨: 1946.53
+原因: 价格最低1946.20触及下轨1946.53，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 09:37:21
+操作: 翻转: 平多→开空
+价格: 1966.51
+BB上轨: 1967.60 | 中轨: 1955.23 | 下轨: 1942.85
+原因: 价格最高1967.64触及上轨1967.60，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 09:47:41
+操作: 加仓空#1
+价格: 1974.91
+BB上轨: 1973.88 | 中轨: 1956.84 | 下轨: 1939.80
+原因: 价格最高1974.91触及上轨1973.88，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 09:50:10
+操作: 加仓空#2
+价格: 1990.01
+BB上轨: 1988.73 | 中轨: 1959.52 | 下轨: 1930.30
+原因: 价格最高1991.56触及上轨1988.73，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 09:59:41
+操作: 开空
+价格: 2009.09
+BB上轨: 2008.95 | 中轨: 1964.55 | 下轨: 1920.15
+原因: 价格最高2009.20触及上轨2008.95，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 10:02:15
+操作: 加仓空#1
+价格: 2023.05
+BB上轨: 2025.72 | 中轨: 1970.39 | 下轨: 1915.07
+原因: 价格最高2026.00触及上轨2025.72，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 11:22:14
+操作: 开多
+价格: 2028.59
+BB上轨: 2042.05 | 中轨: 2035.46 | 下轨: 2028.87
+原因: 价格最低2028.58触及下轨2028.87，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 11:54:08
+操作: 加仓多#1
+价格: 2023.39
+BB上轨: 2039.59 | 中轨: 2032.27 | 下轨: 2024.96
+原因: 价格最低2021.86触及下轨2024.96，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 11:55:14
+操作: 加仓多#2
+价格: 2020.39
+BB上轨: 2042.34 | 中轨: 2030.59 | 下轨: 2018.84
+原因: 价格最低2018.50触及下轨2018.84，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 12:15:00
+操作: 加仓多#3
+价格: 2012.23
+BB上轨: 2039.99 | 中轨: 2026.95 | 下轨: 2013.91
+原因: 价格最低2008.07触及下轨2013.91，BB(10,2.5) (加仓#3/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 13:20:34
+操作: 翻转: 平多→开空
+价格: 2017.26
+BB上轨: 2017.21 | 中轨: 2014.22 | 下轨: 2011.24
+原因: 价格最高2017.47触及上轨2017.21，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 13:25:07
+操作: 加仓空#1
+价格: 2021.89
+BB上轨: 2021.00 | 中轨: 2015.09 | 下轨: 2009.17
+原因: 价格最高2021.58触及上轨2021.00，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 13:55:06
+操作: 翻转: 平空→开多
+价格: 2009.30
+BB上轨: 2023.23 | 中轨: 2016.18 | 下轨: 2009.13
+原因: 价格最低2008.73触及下轨2009.13，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 14:04:49
+操作: 加仓多#1
+价格: 2005.00
+BB上轨: 2024.71 | 中轨: 2015.13 | 下轨: 2005.56
+原因: 价格最低2005.00触及下轨2005.56，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 14:05:27
+操作: 加仓多#2
+价格: 2001.68
+BB上轨: 2026.45 | 中轨: 2014.43 | 下轨: 2002.41
+原因: 价格最低2001.68触及下轨2002.41，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 14:10:46
+操作: 加仓多#3
+价格: 1993.93
+BB上轨: 2029.77 | 中轨: 2012.76 | 下轨: 1995.76
+原因: 价格最低1993.62触及下轨1995.76，BB(10,2.5) (加仓#3/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 15:12:06
+操作: 翻转: 平多→开空
+价格: 2003.74
+BB上轨: 2003.48 | 中轨: 1996.50 | 下轨: 1989.52
+原因: 价格最高2003.74触及上轨2003.48，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 15:22:02
+操作: 加仓空#1
+价格: 2004.51
+BB上轨: 2004.32 | 中轨: 1996.69 | 下轨: 1989.06
+原因: 价格最高2004.51触及上轨2004.32，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 15:39:37
+操作: 加仓空#2
+价格: 2006.49
+BB上轨: 2005.89 | 中轨: 1998.49 | 下轨: 1991.09
+原因: 价格最高2007.16触及上轨2005.89，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 15:40:18
+操作: 加仓空#3
+价格: 2005.95
+BB上轨: 2008.50 | 中轨: 1999.85 | 下轨: 1991.20
+原因: 价格最高2008.89触及上轨2008.50，BB(10,2.5) (加仓#3/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 16:47:20
+操作: 翻转: 平空→开多
+价格: 1997.54
+BB上轨: 2011.42 | 中轨: 2004.66 | 下轨: 1997.89
+原因: 价格最低1997.54触及下轨1997.89，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 16:50:39
+操作: 加仓多#1
+价格: 1994.11
+BB上轨: 2012.88 | 中轨: 2003.62 | 下轨: 1994.36
+原因: 价格最低1994.00触及下轨1994.36，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 16:55:10
+操作: 加仓多#2
+价格: 1984.53
+BB上轨: 2019.59 | 中轨: 2002.06 | 下轨: 1984.53
+原因: 价格最低1984.04触及下轨1984.53，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 17:02:18
+操作: 加仓多#3
+价格: 1977.78
+BB上轨: 2021.30 | 中轨: 2000.09 | 下轨: 1978.87
+原因: 价格最低1977.34触及下轨1978.87，BB(10,2.5) (加仓#3/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 18:26:31
+操作: 翻转: 平多→开空
+价格: 1981.80
+BB上轨: 1982.79 | 中轨: 1979.44 | 下轨: 1976.08
+原因: 价格最高1982.80触及上轨1982.79，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 18:30:23
+操作: 加仓空#1
+价格: 1985.00
+BB上轨: 1984.64 | 中轨: 1979.89 | 下轨: 1975.13
+原因: 价格最高1985.00触及上轨1984.64，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 18:35:09
+操作: 加仓空#2
+价格: 1986.68
+BB上轨: 1986.58 | 中轨: 1980.49 | 下轨: 1974.40
+原因: 价格最高1986.68触及上轨1986.58，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 19:16:32
+操作: 加仓空#3
+价格: 1987.27
+BB上轨: 1987.94 | 中轨: 1983.79 | 下轨: 1979.63
+原因: 价格最高1987.96触及上轨1987.94，BB(10,2.5) (加仓#3/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 20:28:43
+操作: 翻转: 平空→开多
+价格: 1979.84
+BB上轨: 1987.42 | 中轨: 1983.66 | 下轨: 1979.90
+原因: 价格最低1979.64触及下轨1979.90，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 20:34:05
+操作: 加仓多#1
+价格: 1978.24
+BB上轨: 1987.88 | 中轨: 1983.22 | 下轨: 1978.55
+原因: 价格最低1978.24触及下轨1978.55，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 21:20:40
+操作: 加仓多#2
+价格: 1973.00
+BB上轨: 1982.99 | 中轨: 1978.04 | 下轨: 1973.10
+原因: 价格最低1973.00触及下轨1973.10，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 21:51:21
+操作: 翻转: 平多→开空
+价格: 1981.17
+BB上轨: 1980.40 | 中轨: 1976.08 | 下轨: 1971.77
+原因: 价格最高1981.82触及上轨1980.40，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 21:55:09
+操作: 开空
+价格: 2019.50
+BB上轨: 2011.12 | 中轨: 1980.16 | 下轨: 1949.21
+原因: 价格最高2019.50触及上轨2011.12，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 22:42:31
+操作: 翻转: 平空→开多
+价格: 1998.46
+BB上轨: 2021.45 | 中轨: 2010.61 | 下轨: 1999.77
+原因: 价格最低1997.98触及下轨1999.77，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 22:45:18
+操作: 加仓多#1
+价格: 1995.73
+BB上轨: 2021.76 | 中轨: 2008.71 | 下轨: 1995.66
+原因: 价格最低1995.55触及下轨1995.66，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 23:17:24
+操作: 翻转: 平多→开空
+价格: 2011.33
+BB上轨: 2011.41 | 中轨: 2003.47 | 下轨: 1995.52
+原因: 价格最高2011.70触及上轨2011.41，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-01 23:20:33
+操作: 加仓空#1
+价格: 2013.00
+BB上轨: 2012.52 | 中轨: 2003.72 | 下轨: 1994.92
+原因: 价格最高2013.00触及上轨2012.52，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 23:28:46
+操作: 加仓空#2
+价格: 2012.26
+BB上轨: 2012.18 | 中轨: 2003.62 | 下轨: 1995.05
+原因: 价格最高2012.30触及上轨2012.18，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 23:34:42
+操作: 加仓空#3
+价格: 2012.90
+BB上轨: 2013.39 | 中轨: 2003.97 | 下轨: 1994.56
+原因: 价格最高2013.42触及上轨2013.39，BB(10,2.5) (加仓#3/3)
+============================================================
+
+============================================================
+时间: 2026-03-01 23:57:04
+操作: 翻转: 平空→开多
+价格: 2000.60
+BB上轨: 2017.24 | 中轨: 2008.93 | 下轨: 2000.62
+原因: 价格最低2000.38触及下轨2000.62，BB(10,2.5)
+============================================================

bb_trade_log_20260302.txt

@@ -0,0 +1,160 @@
+
+============================================================
+时间: 2026-03-02 00:00:12
+操作: 加仓多#1
+价格: 1993.03
+BB上轨: 2022.56 | 中轨: 2007.82 | 下轨: 1993.08
+原因: 价格最低1992.31触及下轨1993.08，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 00:47:35
+操作: 加仓多#2
+价格: 1991.52
+BB上轨: 2009.23 | 中轨: 2000.42 | 下轨: 1991.62
+原因: 价格最低1991.22触及下轨1991.62，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 00:50:07
+操作: 加仓多#3
+价格: 1972.92
+BB上轨: 2020.78 | 中轨: 1998.46 | 下轨: 1976.14
+原因: 价格最低1972.33触及下轨1976.14，BB(10,2.5) (加仓#3/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 02:54:45
+操作: 翻转: 平空→开多
+价格: 1975.78
+BB上轨: 1987.69 | 中轨: 1981.61 | 下轨: 1975.53
+原因: 价格最低1974.35触及下轨1975.53，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-02 02:55:32
+操作: 加仓多#1
+价格: 1972.67
+BB上轨: 1988.35 | 中轨: 1980.89 | 下轨: 1973.42
+原因: 价格最低1972.66触及下轨1973.42，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 03:01:38
+操作: 加仓多#2
+价格: 1973.37
+BB上轨: 1985.83 | 中轨: 1979.58 | 下轨: 1973.32
+原因: 价格最低1972.87触及下轨1973.32，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 03:06:27
+操作: 加仓多#3
+价格: 1969.61
+BB上轨: 1986.78 | 中轨: 1978.35 | 下轨: 1969.93
+原因: 价格最低1968.00触及下轨1969.93，BB(10,2.5) (加仓#3/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 04:10:24
+操作: 开多
+价格: 1938.14
+BB上轨: 1968.16 | 中轨: 1954.01 | 下轨: 1939.86
+原因: 价格最低1932.00触及下轨1939.86，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-02 04:15:20
+操作: 加仓多#1
+价格: 1931.04
+BB上轨: 1971.27 | 中轨: 1951.22 | 下轨: 1931.16
+原因: 价格最低1931.04触及下轨1931.16，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 05:21:09
+操作: 翻转: 平多→开空
+价格: 1925.01
+BB上轨: 1925.19 | 中轨: 1914.61 | 下轨: 1904.03
+原因: 价格最高1926.00触及上轨1925.19，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-02 06:03:53
+操作: 加仓空#1
+价格: 1930.73
+BB上轨: 1930.55 | 中轨: 1925.10 | 下轨: 1919.65
+原因: 价格最高1930.73触及上轨1930.55，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 06:13:08
+操作: 加仓空#2
+价格: 1933.10
+BB上轨: 1930.98 | 中轨: 1926.37 | 下轨: 1921.75
+原因: 价格最高1933.10触及上轨1930.98，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 06:15:10
+操作: 开空
+价格: 1944.64
+BB上轨: 1942.77 | 中轨: 1928.24 | 下轨: 1913.72
+原因: 价格最高1945.94触及上轨1942.77，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-02 08:07:31
+操作: 加仓空#1
+价格: 1943.79
+BB上轨: 1945.86 | 中轨: 1937.82 | 下轨: 1929.77
+原因: 价格最高1945.97触及上轨1945.86，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 08:10:09
+操作: 加仓空#2
+价格: 1950.40
+BB上轨: 1948.66 | 中轨: 1938.79 | 下轨: 1928.92
+原因: 价格最高1950.40触及上轨1948.66，BB(10,2.5) (加仓#2/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 08:32:48
+操作: 加仓空#3
+价格: 1950.23
+BB上轨: 1950.72 | 中轨: 1942.27 | 下轨: 1933.83
+原因: 价格最高1950.89触及上轨1950.72，BB(10,2.5) (加仓#3/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 09:10:45
+操作: 开空
+价格: 1980.63
+BB上轨: 1979.30 | 中轨: 1956.47 | 下轨: 1933.64
+原因: 价格最高1982.52触及上轨1979.30，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-02 10:06:29
+操作: 翻转: 平空→开多
+价格: 1956.56
+BB上轨: 1977.03 | 中轨: 1966.90 | 下轨: 1956.77
+原因: 价格最低1956.32触及下轨1956.77，BB(10,2.5)
+============================================================
+
+============================================================
+时间: 2026-03-02 10:10:10
+操作: 加仓多#1
+价格: 1948.99
+BB上轨: 1978.42 | 中轨: 1964.20 | 下轨: 1949.99
+原因: 价格最低1948.98触及下轨1949.99，BB(10,2.5) (加仓#1/3)
+============================================================
+
+============================================================
+时间: 2026-03-02 10:19:45
+操作: 加仓多#2
+价格: 1941.70
+BB上轨: 1981.96 | 中轨: 1961.75 | 下轨: 1941.53
+原因: 价格最低1941.34触及下轨1941.53，BB(10,2.5) (加仓#2/3)
+============================================================

captcha_clip.py

@@ -0,0 +1,113 @@
+"""
+用 CLIP 做图块相似度匹配，在大图中找模板图标位置
+原理：把大图切成滑动窗口小块，用 CLIP 计算每块和模板的视觉相似度，取最高分的块
+"""
+import cv2
+import numpy as np
+from PIL import Image
+import torch
+from transformers import CLIPProcessor, CLIPModel
+from pathlib import Path
+
+BASE = Path(__file__).parent / "images"
+MODEL_NAME = "openai/clip-vit-base-patch32"  # 约600MB，小模型
+
+
+def load_clip():
+    print("加载 CLIP 模型（约600MB，首次自动下载）...")
+    model = CLIPModel.from_pretrained(MODEL_NAME).to("cuda")
+    processor = CLIPProcessor.from_pretrained(MODEL_NAME)
+    print("CLIP 加载完成")
+    return model, processor
+
+
+def find_by_clip(model, processor, main_img: np.ndarray, template_img: np.ndarray,
+                 step=10, win_sizes=None):
+    """
+    滑动窗口 + CLIP 相似度，找模板在大图中的最佳位置
+    """
+    if win_sizes is None:
+        th, tw = template_img.shape[:2]
+        # 尝试原始尺寸及上下浮动
+        win_sizes = [(int(tw * s), int(th * s)) for s in [0.8, 0.9, 1.0, 1.1, 1.2]]
+
+    # 预处理模板
+    tmpl_pil = Image.fromarray(cv2.cvtColor(template_img, cv2.COLOR_BGR2RGB))
+    tmpl_inputs = processor(images=tmpl_pil, return_tensors="pt").to("cuda")
+    with torch.no_grad():
+        tmpl_out = model.vision_model(**tmpl_inputs)
+        tmpl_feat = model.visual_projection(tmpl_out.pooler_output).float()
+        tmpl_feat = tmpl_feat / tmpl_feat.norm(dim=-1, keepdim=True)
+
+    mh, mw = main_img.shape[:2]
+    best_score = -1
+    best_box = None
+
+    for (ww, wh) in win_sizes:
+        if ww > mw or wh > mh:
+            continue
+        for y in range(0, mh - wh + 1, step):
+            for x in range(0, mw - ww + 1, step):
+                crop = main_img[y:y+wh, x:x+ww]
+                crop_pil = Image.fromarray(cv2.cvtColor(crop, cv2.COLOR_BGR2RGB))
+                crop_inputs = processor(images=crop_pil, return_tensors="pt").to("cuda")
+                with torch.no_grad():
+                    crop_out = model.vision_model(**crop_inputs)
+                    crop_feat = model.visual_projection(crop_out.pooler_output).float()
+                    crop_feat = crop_feat / crop_feat.norm(dim=-1, keepdim=True)
+                score = (tmpl_feat * crop_feat).sum().item()
+                if score > best_score:
+                    best_score = score
+                    best_box = (x, y, ww, wh)
+
+    return best_box, best_score
+
+
+def main():
+    main_img = cv2.imread(str(BASE / "1.jpg"))
+    templates = {
+        "2.png": cv2.imread(str(BASE / "2.png")),
+        "3.png": cv2.imread(str(BASE / "3.png")),
+        "4.png": cv2.imread(str(BASE / "4.png")),
+    }
+
+    # 模板是 BGRA，转 BGR
+    for name in templates:
+        img = cv2.imread(str(BASE / name), cv2.IMREAD_UNCHANGED)
+        if img.shape[2] == 4:
+            # alpha 通道合成白底
+            alpha = img[:, :, 3:4] / 255.0
+            rgb = img[:, :, :3].astype(float)
+            white = np.ones_like(rgb) * 255
+            merged = (rgb * alpha + white * (1 - alpha)).astype(np.uint8)
+            templates[name] = merged
+        else:
+            templates[name] = img
+
+    model, processor = load_clip()
+
+    vis = main_img.copy()
+    colors = {"2.png": (0, 0, 255), "3.png": (0, 255, 0), "4.png": (255, 0, 0)}
+
+    print()
+    for name, tmpl in templates.items():
+        print(f"正在匹配 {name} ...")
+        box, score = find_by_clip(model, processor, main_img, tmpl, step=8)
+        if box:
+            x, y, w, h = box
+            cx, cy = x + w // 2, y + h // 2
+            color = colors[name]
+            cv2.rectangle(vis, (x, y), (x+w, y+h), color, 2)
+            cv2.circle(vis, (cx, cy), 5, color, -1)
+            cv2.putText(vis, name, (x, y-5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 1)
+            print(f"  {name}: 中心点 ({cx}, {cy})  相似度={score:.4f}")
+        else:
+            print(f"  {name}: 未找到")
+
+    out = BASE / "result_clip.jpg"
+    cv2.imwrite(str(out), vis)
+    print(f"\n结果保存到: {out}")
+
+
+if __name__ == "__main__":
+    main()

captcha_vl.py

@@ -0,0 +1,131 @@
+"""
+用 Qwen2-VL 本地模型识别验证码图片位置
+首次运行会自动下载模型（约 4GB）
+"""
+import base64
+from pathlib import Path
+from transformers import Qwen2VLForConditionalGeneration, AutoProcessor
+from qwen_vl_utils import process_vision_info
+import torch
+
+MODEL_NAME = "Qwen/Qwen2-VL-7B-Instruct"
+BASE = Path(__file__).parent / "images"
+
+def img_to_base64(path):
+    with open(path, "rb") as f:
+        return base64.b64encode(f.read()).decode()
+
+def load_model():
+    print("加载模型中（首次运行会下载约15GB）...")
+    from transformers import BitsAndBytesConfig
+    bnb_config = BitsAndBytesConfig(
+        load_in_4bit=True,
+        bnb_4bit_compute_dtype=torch.float16,
+        bnb_4bit_use_double_quant=True,
+        bnb_4bit_quant_type="nf4",
+    )
+    model = Qwen2VLForConditionalGeneration.from_pretrained(
+        MODEL_NAME,
+        quantization_config=bnb_config,
+        device_map="cuda",
+    )
+    processor = AutoProcessor.from_pretrained(MODEL_NAME)
+    print("模型加载完成")
+    return model, processor
+
+def ask_one(model, processor, main_img_path, template_path):
+    """让模型找出单个模板图在主图中的位置，返回原始回答"""
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "text",
+                    "text": (
+                        "下面是一张背景大图（300x200像素），"
+                        "以及一个需要在大图中找到的小图标轮廓。\n"
+                        "大图："
+                    )
+                },
+                {"type": "image", "image": str(main_img_path)},
+                {
+                    "type": "text",
+                    "text": "\n小图标轮廓（这个图标出现在大图中某个物体上）："
+                },
+                {"type": "image", "image": str(template_path)},
+                {
+                    "type": "text",
+                    "text": (
+                        "\n请仔细观察小图标的形状，在大图中找到形状最相似的物体，"
+                        "给出该物体中心点的像素坐标。"
+                        "坐标原点在左上角，x向右，y向下。"
+                        "只需回答坐标，格式：(x, y)"
+                    )
+                }
+            ]
+        }
+    ]
+
+    text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    image_inputs, video_inputs = process_vision_info(messages)
+    inputs = processor(
+        text=[text],
+        images=image_inputs,
+        videos=video_inputs,
+        padding=True,
+        return_tensors="pt",
+    ).to("cuda")
+
+    with torch.no_grad():
+        generated_ids = model.generate(**inputs, max_new_tokens=50)
+
+    generated_ids_trimmed = [
+        out_ids[len(in_ids):] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
+    ]
+    output = processor.batch_decode(
+        generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
+    )
+    return output[0].strip()
+
+
+def main():
+    main_img = BASE / "1.jpg"
+    templates = [BASE / "2.png", BASE / "3.png", BASE / "4.png"]
+
+    model, processor = load_model()
+
+    import re
+    import cv2
+
+    img = cv2.imread(str(main_img))
+    colors = {"2.png": (0, 0, 255), "3.png": (0, 255, 0), "4.png": (255, 0, 0)}
+    results = {}
+
+    for tmpl_path in templates:
+        name = tmpl_path.name
+        print(f"\n正在识别 {name} ...")
+        answer = ask_one(model, processor, main_img, tmpl_path)
+        print(f"{name} 模型回答: {answer}")
+
+        match = re.search(r"\((\d+)[,，\s]+(\d+)\)", answer)
+        if match:
+            x, y = int(match.group(1)), int(match.group(2))
+            results[name] = (x, y)
+            color = colors[name]
+            cv2.circle(img, (x, y), 8, color, -1)
+            cv2.circle(img, (x, y), 12, color, 2)
+            cv2.putText(img, name, (x + 14, y + 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 1)
+        else:
+            print(f"{name}: 未能解析坐标，原始回答: {answer}")
+
+    print("\n=== 点击坐标汇总 ===")
+    for name, (x, y) in results.items():
+        print(f"{name}: ({x}, {y})")
+
+    out = BASE / "result_vl.jpg"
+    cv2.imwrite(str(out), img)
+    print(f"\n可视化结果保存到: {out}")
+
+
+if __name__ == "__main__":
+    main()

credentials.json

@@ -0,0 +1 @@
+{"installed":{"client_id":"823839778551-mgovppr13aoil1r69upj7uiv84ej0sih.apps.googleusercontent.com","project_id":"gen-lang-client-0535910705","auth_uri":"https://accounts.google.com/o/oauth2/auth","token_uri":"https://oauth2.googleapis.com/token","auth_provider_x509_cert_url":"https://www.googleapis.com/oauth2/v1/certs","client_secret":"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","redirect_uris":["http://localhost"]}}

find_captcha.py

@@ -0,0 +1,127 @@
+"""
+验证码图片匹配脚本
+在 1.jpg 中找到 2.png、3.png、4.png 的位置
+"""
+import cv2
+import numpy as np
+import os
+
+def find_template_in_image(main_img_path, template_path, threshold=0.5):
+    """
+    在主图中查找模板图片的位置（原始尺寸 + 多尺度）
+    支持 PNG alpha 通道作为模板轮廓
+    返回置信度最高的匹配结果
+    """
+    main_img = cv2.imread(main_img_path)
+    template = cv2.imread(template_path, cv2.IMREAD_UNCHANGED)
+
+    if main_img is None:
+        print(f"无法读取主图: {main_img_path}")
+        return []
+    if template is None:
+        print(f"无法读取模板: {template_path}")
+        return []
+
+    h, w = template.shape[:2]
+    main_gray = cv2.cvtColor(main_img, cv2.COLOR_BGR2GRAY)
+
+    # 如果模板有 alpha 通道且 RGB 全黑，用 alpha 通道作为灰度图
+    if template.shape[2] == 4:
+        alpha = template[:, :, 3]
+        rgb_sum = template[:, :, :3].sum()
+        if rgb_sum == 0:
+            tmpl_gray = alpha  # 用 alpha 通道
+        else:
+            tmpl_gray = cv2.cvtColor(template[:, :, :3], cv2.COLOR_BGR2GRAY)
+    else:
+        tmpl_gray = cv2.cvtColor(template, cv2.COLOR_BGR2GRAY)
+
+    best = None
+
+    # 先尝试原始尺寸
+    scales = [1.0] + list(np.linspace(0.6, 1.4, 17))
+    for scale in scales:
+        rw, rh = int(w * scale), int(h * scale)
+        if rh < 5 or rw < 5:
+            continue
+        if rh > main_gray.shape[0] or rw > main_gray.shape[1]:
+            continue
+
+        resized_tmpl = cv2.resize(tmpl_gray, (rw, rh))
+        res = cv2.matchTemplate(main_gray, resized_tmpl, cv2.TM_CCOEFF_NORMED)
+        _, max_val, _, max_loc = cv2.minMaxLoc(res)
+
+        if best is None or max_val > best["confidence"]:
+            best = {
+                "x": max_loc[0],
+                "y": max_loc[1],
+                "w": rw,
+                "h": rh,
+                "confidence": max_val,
+                "scale": scale,
+                "center_x": max_loc[0] + rw // 2,
+                "center_y": max_loc[1] + rh // 2,
+            }
+
+    if best is None or best["confidence"] < threshold:
+        return []
+    return [best]
+
+
+def main():
+    base_dir = os.path.join(os.path.dirname(__file__), "images")
+    main_img_path = os.path.join(base_dir, "1.jpg")
+    templates = ["2.png", "3.png", "4.png"]
+
+    print(f"主图: {main_img_path}\n")
+
+    all_results = {}
+    for tmpl_name in templates:
+        tmpl_path = os.path.join(base_dir, tmpl_name)
+        matches = find_template_in_image(main_img_path, tmpl_path, threshold=0.5)
+        all_results[tmpl_name] = matches
+
+        if matches:
+            m = matches[0]
+            print(f"[{tmpl_name}] 找到匹配:")
+            print(f"  位置: ({m['x']}, {m['y']})")
+            print(f"  中心点: ({m['center_x']}, {m['center_y']})")
+            print(f"  尺寸: {m['w']}x{m['h']}")
+            print(f"  置信度: {m['confidence']:.4f}")
+            print(f"  缩放比例: {m['scale']:.2f}")
+        else:
+            print(f"[{tmpl_name}] 未找到匹配（置信度不足）")
+        print()
+
+    # 可视化结果，保存标注图
+    main_img = cv2.imread(main_img_path)
+    colors = [(0, 0, 255), (0, 255, 0), (255, 0, 0)]  # 红、绿、蓝
+    for i, tmpl_name in enumerate(templates):
+        matches = all_results.get(tmpl_name, [])
+        for m in matches:
+            x, y, w, h = m["x"], m["y"], m["w"], m["h"]
+            color = colors[i % len(colors)]
+            cv2.rectangle(main_img, (x, y), (x + w, y + h), color, 2)
+            cv2.putText(main_img, tmpl_name, (x, y - 5),
+                        cv2.FONT_HERSHEY_SIMPLEX, 0.6, color, 2)
+            # 画中心点
+            cx, cy = m["center_x"], m["center_y"]
+            cv2.circle(main_img, (cx, cy), 5, color, -1)
+
+    output_path = os.path.join(base_dir, "result.jpg")
+    cv2.imwrite(output_path, main_img)
+    print(f"标注结果已保存到: {output_path}")
+
+    # 打印点击坐标汇总（用于自动化点击）
+    print("\n=== 点击坐标汇总 ===")
+    for tmpl_name in templates:
+        matches = all_results.get(tmpl_name, [])
+        if matches:
+            m = matches[0]
+            print(f"{tmpl_name}: 点击 ({m['center_x']}, {m['center_y']})")
+        else:
+            print(f"{tmpl_name}: 未找到")
+
+
+if __name__ == "__main__":
+    main()

gmail_reader.py

@@ -0,0 +1,208 @@
+"""
+Gmail API 邮件读取工具
+使用前准备：
+1. 访问 https://console.cloud.google.com/ 创建项目
+2. 启用 Gmail API
+3. 创建 OAuth 2.0 凭据（桌面应用类型），下载 credentials.json 放到本目录
+4. 首次运行会弹出浏览器授权，授权后自动生成 token.json
+"""
+
+import os
+import base64
+import json
+from datetime import datetime
+from google.auth.transport.requests import Request
+from google.oauth2.credentials import Credentials
+from google_auth_oauthlib.flow import InstalledAppFlow
+from googleapiclient.discovery import build
+from email.utils import parsedate_to_datetime
+
+# 只读权限
+SCOPES = ['https://www.googleapis.com/auth/gmail.readonly']
+
+# 凭据文件路径（和脚本同目录）
+BASE_DIR = os.path.dirname(os.path.abspath(__file__))
+CREDENTIALS_FILE = os.path.join(BASE_DIR, 'credentials.json')
+TOKEN_FILE = os.path.join(BASE_DIR, 'token.json')
+
+
+def get_service():
+    """获取 Gmail API 服务实例"""
+    creds = None
+
+    # 尝试加载已有 token
+    if os.path.exists(TOKEN_FILE):
+        creds = Credentials.from_authorized_user_file(TOKEN_FILE, SCOPES)
+
+    # token 无效或过期，重新授权
+    if not creds or not creds.valid:
+        if creds and creds.expired and creds.refresh_token:
+            creds.refresh(Request())
+        else:
+            if not os.path.exists(CREDENTIALS_FILE):
+                print(f"❌ 找不到 {CREDENTIALS_FILE}")
+                print("请从 Google Cloud Console 下载 OAuth 凭据文件，命名为 credentials.json 放到本目录")
+                return None
+            flow = InstalledAppFlow.from_client_secrets_file(CREDENTIALS_FILE, SCOPES)
+            creds = flow.run_local_server(port=0)
+
+        # 保存 token 供下次使用
+        with open(TOKEN_FILE, 'w') as f:
+            f.write(creds.to_json())
+
+    return build('gmail', 'v1', credentials=creds)
+
+
+def decode_body(payload):
+    """递归解析邮件正文（优先纯文本）"""
+    # 直接有 body data
+    if 'body' in payload and payload['body'].get('data'):
+        return base64.urlsafe_b64decode(payload['body']['data']).decode('utf-8', errors='ignore')
+
+    # 多部分邮件，递归查找
+    if 'parts' in payload:
+        # 优先找 text/plain
+        for part in payload['parts']:
+            if part.get('mimeType') == 'text/plain':
+                data = part['body'].get('data', '')
+                if data:
+                    return base64.urlsafe_b64decode(data).decode('utf-8', errors='ignore')
+
+        # 没有纯文本，找 text/html
+        for part in payload['parts']:
+            if part.get('mimeType') == 'text/html':
+                data = part['body'].get('data', '')
+                if data:
+                    return base64.urlsafe_b64decode(data).decode('utf-8', errors='ignore')
+
+        # 递归子部分
+        for part in payload['parts']:
+            result = decode_body(part)
+            if result:
+                return result
+
+    return None
+
+
+def get_header(headers, name):
+    """从 headers 列表中取指定字段"""
+    for h in headers:
+        if h['name'].lower() == name.lower():
+            return h['value']
+    return ''
+
+
+def list_emails(service, query='', label_ids=None, max_results=10):
+    """
+    列出邮件
+    :param query: Gmail 搜索语法，如 'from:xxx@gmail.com' 'subject:报告' 'is:unread'
+    :param label_ids: 标签过滤，如 ['INBOX'], ['UNREAD']
+    :param max_results: 最多返回条数
+    """
+    params = {'userId': 'me', 'maxResults': max_results}
+    if query:
+        params['q'] = query
+    if label_ids:
+        params['labelIds'] = label_ids
+
+    results = service.users().messages().list(**params).execute()
+    return results.get('messages', [])
+
+
+def read_email(service, msg_id):
+    """读取单封邮件详情"""
+    msg = service.users().messages().get(userId='me', id=msg_id, format='full').execute()
+    headers = msg['payload']['headers']
+
+    subject = get_header(headers, 'Subject') or '(无主题)'
+    sender = get_header(headers, 'From')
+    to = get_header(headers, 'To')
+    date_str = get_header(headers, 'Date')
+    body = decode_body(msg['payload']) or '(无正文)'
+
+    # 解析日期
+    try:
+        date = parsedate_to_datetime(date_str)
+        date_str = date.strftime('%Y-%m-%d %H:%M:%S')
+    except Exception:
+        pass
+
+    return {
+        'id': msg_id,
+        'subject': subject,
+        'from': sender,
+        'to': to,
+        'date': date_str,
+        'body': body,
+        'labels': msg.get('labelIds', []),
+        'snippet': msg.get('snippet', ''),
+    }
+
+
+def get_attachments(service, msg_id, save_dir=None):
+    """下载邮件附件"""
+    msg = service.users().messages().get(userId='me', id=msg_id, format='full').execute()
+    attachments = []
+
+    if save_dir is None:
+        save_dir = os.path.join(BASE_DIR, 'attachments')
+
+    def _find_attachments(payload):
+        if 'parts' in payload:
+            for part in payload['parts']:
+                filename = part.get('filename', '')
+                if filename and part['body'].get('attachmentId'):
+                    att = service.users().messages().attachments().get(
+                        userId='me', messageId=msg_id, id=part['body']['attachmentId']
+                    ).execute()
+                    data = base64.urlsafe_b64decode(att['data'])
+
+                    os.makedirs(save_dir, exist_ok=True)
+                    filepath = os.path.join(save_dir, filename)
+                    with open(filepath, 'wb') as f:
+                        f.write(data)
+
+                    attachments.append({'filename': filename, 'path': filepath, 'size': len(data)})
+                    print(f"  📎 已保存附件: {filename} ({len(data)} bytes)")
+
+                # 递归
+                _find_attachments(part)
+
+    _find_attachments(msg['payload'])
+    return attachments
+
+
+# ============ 使用示例 ============
+
+if __name__ == '__main__':
+    service = get_service()
+    if not service:
+        exit(1)
+
+    print("=" * 60)
+    print("📬 Gmail 邮件读取")
+    print("=" * 60)
+
+    # --- 示例1: 读取收件箱最近 5 封邮件 ---
+    print("\n📥 收件箱最近 5 封邮件:\n")
+    messages = list_emails(service, label_ids=['INBOX'], max_results=5)
+
+    for m in messages:
+        email_data = read_email(service, m['id'])
+        print(f"📧 主题: {email_data['subject']}")
+        print(f"   发件人: {email_data['from']}")
+        print(f"   日期: {email_data['date']}")
+        print(f"   摘要: {email_data['snippet'][:80]}...")
+        print()
+
+    # --- 示例2: 搜索特定邮件（取消注释使用）---
+    # messages = list_emails(service, query='subject:报告 is:unread', max_results=5)
+
+    # --- 示例3: 读取完整正文 ---
+    # if messages:
+    #     email_data = read_email(service, messages[0]['id'])
+    #     print(f"\n完整正文:\n{email_data['body']}")
+
+    # --- 示例4: 下载附件 ---
+    # if messages:
+    #     get_attachments(service, messages[0]['id'])

match_alpha.py

@@ -0,0 +1,65 @@
+import cv2
+import numpy as np
+
+base = 'c:/Users/27942/Desktop/codes/codex_jxs_code/images/'
+main_img = cv2.imread(base + '1.jpg')
+main_gray = cv2.cvtColor(main_img, cv2.COLOR_BGR2GRAY)
+
+def match_template_alpha(main_gray, alpha, name):
+    h, w = alpha.shape[:2]
+    best = None
+
+    # 策略1: 直接用alpha通道匹配灰度图
+    # 策略2: 用alpha做mask，只比较非透明区域
+    # 策略3: 对alpha二值化后匹配
+
+    _, alpha_bin = cv2.threshold(alpha, 10, 255, cv2.THRESH_BINARY)
+
+    scales = [1.0] + list(np.linspace(0.65, 1.35, 29))
+    for scale in scales:
+        rw, rh = int(w * scale), int(h * scale)
+        if rh < 10 or rw < 10:
+            continue
+        if rh > main_gray.shape[0] or rw > main_gray.shape[1]:
+            continue
+
+        resized_alpha = cv2.resize(alpha, (rw, rh))
+        resized_bin = cv2.resize(alpha_bin, (rw, rh))
+        _, resized_mask = cv2.threshold(resized_bin, 10, 255, cv2.THRESH_BINARY)
+
+        # 用mask匹配（只看非透明区域）
+        res = cv2.matchTemplate(main_gray, resized_alpha, cv2.TM_CCOEFF_NORMED, mask=resized_mask)
+        _, max_val, _, max_loc = cv2.minMaxLoc(res)
+
+        if best is None or max_val > best['conf']:
+            best = {
+                'x': max_loc[0], 'y': max_loc[1],
+                'w': rw, 'h': rh,
+                'conf': max_val, 'scale': scale,
+                'cx': max_loc[0] + rw // 2,
+                'cy': max_loc[1] + rh // 2,
+            }
+
+    return best
+
+results = {}
+for name in ['2.png', '3.png', '4.png']:
+    template = cv2.imread(base + name, cv2.IMREAD_UNCHANGED)
+    alpha = template[:, :, 3]
+    best = match_template_alpha(main_gray, alpha, name)
+    results[name] = best
+    x, y, cx, cy = best['x'], best['y'], best['cx'], best['cy']
+    conf, scale = best['conf'], best['scale']
+    print(name + ': pos=(' + str(x) + ',' + str(y) + ') center=(' + str(cx) + ',' + str(cy) + ') conf=' + str(round(conf, 4)) + ' scale=' + str(round(scale, 2)))
+
+# 可视化
+colors = [(0, 0, 255), (0, 255, 0), (255, 0, 0)]
+vis = main_img.copy()
+for i, name in enumerate(['2.png', '3.png', '4.png']):
+    m = results[name]
+    cv2.rectangle(vis, (m['x'], m['y']), (m['x'] + m['w'], m['y'] + m['h']), colors[i], 2)
+    cv2.putText(vis, name, (m['x'], m['y'] - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, colors[i], 1)
+    cv2.circle(vis, (m['cx'], m['cy']), 5, colors[i], -1)
+
+cv2.imwrite(base + 'result.jpg', vis)
+print('result saved to images/result.jpg')

token.json

@@ -0,0 +1 @@
+{"token": "ya29.a0ATkoCc7EYaXMumpShCwmfiq5pqSbgMB_XkUuWWUFnYRs8fvfPt6xYaU3r8rrdiFWHpQ_07R2FN_ML4X-4Q9eoHp5Dj6R0xgL1A9xFONvaJhlEP_ndce3Uht6LpeIUhfoGw2fHU9ZlvKcVNyCfcGsTqsR8YXWoe49MmU3k-DiHQgIDrxZ0c7Kyfb0FltZ9bUwXJg8ILIaCgYKAYUSARMSFQHGX2MiD7gOuz1kuvvNQABqx39YNw0206", "refresh_token": "1//0gVVN8c-x-T1MCgYIARAAGBASNwF-L9IrNPuDnHu-3vZoJvPChjsyjrUwtlSX7qmY_xnwFUr0FPf-t7Tm53f3vSo4OZOaJWSqA0s", "token_uri": "https://oauth2.googleapis.com/token", "client_id": "823839778551-mgovppr13aoil1r69upj7uiv84ej0sih.apps.googleusercontent.com", "client_secret": "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", "scopes": ["https://www.googleapis.com/auth/gmail.readonly"], "universe_domain": "googleapis.com", "account": "", "expiry": "2026-02-28T19:35:00Z"}