(running):

src/code/new_8003_handle_depth.py

@@ -76,8 +76,15 @@ def handle_same_rel_address(gdf):
     gdf["amount"] = max(gdf["amount"])
     gdf["datetime"] = max(gdf["datetime"])
     gdf["timestamp"] = max(gdf["timestamp"] )
-    
+    gdf=gdf.drop_duplicates()
     return gdf
+
+def get_dalao_len(gdf):
+    gdf["dalao_count"] = len(gdf)
+    
+    return  gdf
+
+
 def main():
     global arr_exclude_address
     for str_dalaoaddress in arr_str_dalaoaddress:
@@ -143,6 +150,11 @@ def main():
         
         df_sol_transfer["is_exend"] = 0
         df_sol_transfer["is_relationend"] = 0
+
+
+        df_sol_transfer['dalaoaddress'] = str_dalaoaddress
+        
+
         df_sol_transfer.loc[( df_sol_transfer["from"].isin(cur_arr_realtion_address) | df_sol_transfer["to"].isin(cur_arr_realtion_address)),"is_relationend"] = 1
  
         df_sol_transfer.loc[( df_sol_transfer["from"].isin(arr_exclude_address) | df_sol_transfer["to"].isin(arr_exclude_address)),"is_exend"] = 1
@@ -151,10 +163,18 @@ def main():
  
         df_sol_transfer['rel_address'] = df_sol_transfer.apply(lambda row: row['from'] if row['from']!= str_dalaoaddress else row['to'], axis=1)
         
-        
+
+
+        df_sol_transfer["dalao_count"] = 0
         df_sol_transfer=df_sol_transfer.groupby(by = [ "rel_address" ],  group_keys=False).apply(lambda gdf: handle_same_rel_address(gdf))
-        df_sol_transfer=df_sol_transfer[ ['timestamp', 'datetime',   'amount', 'is_exend', 'is_relationend', 'rel_address'  ]]
+        df_sol_transfer=df_sol_transfer[ ['timestamp', 'datetime',   'amount', 'is_exend', 'is_relationend', 'dalaoaddress' , 'rel_address','dalao_count'  ]]
         df_sol_transfer=df_sol_transfer.drop_duplicates()
+
+        
+
+        df_sol_transfer =   df_sol_transfer.groupby(by=["dalaoaddress"] ,group_keys=False  ).apply(lambda gdf:  get_dalao_len(gdf))
+        
+
         df_sol_transfer=df_sol_transfer.sort_values(by="timestamp",ascending=False)
         df_sol_transfer.to_excel(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/  "final"/f"final_sol_transfer_{str_dalaoaddress}.xlsx",index=False)
  

src/code/new_8004_merge_depth.py

@@ -32,6 +32,9 @@ str_tokenaddress_dalao_source = "4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump"
 find_depth = "depth_01"
 
 
+def get_reladd_count(gdf):
+    gdf["reladd_count"] = len(gdf)
+    return gdf
 
 
 def main():
@@ -41,7 +44,6 @@ def main():
             continue
         print(f"enter {str_dalaoaddress}")
         cur_df_sol_transfer = pd.read_excel(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/"final"/ f"final_sol_transfer_{str_dalaoaddress}.xlsx",dtype=object )
-        cur_df_sol_transfer["dalaoaddress"] = str_dalaoaddress
         df_sol_transfer = pd.concat([df_sol_transfer,cur_df_sol_transfer])
     df_sol_transfer = df_sol_transfer.astype({
 
@@ -49,6 +51,7 @@ def main():
         "amount":float,
         "is_exend":int,
         "is_relationend":int,
+        "dalao_count":int,
         
     })
  
@@ -60,17 +63,28 @@ def main():
  
     df_sol_transfer = df_sol_transfer[ ~mask_end].reset_index(drop=True)
 
-    def get_dalao_len(gdf):
-        gdf["dalao_count"] = len(gdf)
-        
-        return  gdf
-
-    df_sol_transfer["dalao_count"] = 0
+    df_sol_transfer["reladd_count"]  = 0
     
 
-    df_sol_transfer =   df_sol_transfer.groupby(by=["dalaoaddress"] ,group_keys=False  ).apply(lambda gdf:  get_dalao_len(gdf))
-    df_sol_transfer = df_sol_transfer.sort_values(by=["dalao_count"],ascending=False)
+    df_sol_transfer = df_sol_transfer.groupby(by = [ "rel_address" ],  group_keys=False).apply(lambda gdf : get_reladd_count(gdf))
+
+    df_sol_transfer = df_sol_transfer.sort_values(by=[ "dalao_count"  , "dalaoaddress" ,"timestamp"],ascending=False)
+
     df_dalao_count = df_sol_transfer[[  "dalaoaddress", "dalao_count"  ]].drop_duplicates()
+
+    # str_tokenaddress_dalao_source
+
+    df_dalao_count=df_dalao_count.sort_values(by=["dalao_count"],ascending=False)
+    
+    df_dalao_count["scan_activites"] = df_dalao_count.apply(lambda ser : baseclass.makeurl(f"https://solscan.io/account/{ser['dalaoaddress']}#defiactivities" , f"{ser['dalaoaddress'][0:6]}") , axis=1)
+ 
+    df_dalao_count["scan_token_source"] = df_dalao_count.apply(lambda ser : baseclass.makeurl(f"https://solscan.io/account/{ser['dalaoaddress']}?token_address={str_tokenaddress_dalao_source}#transfers" , f"{ser['dalaoaddress'][0:6]}") , axis=1)
+ 
+
+    #  https://gmgn.ai/sol/token/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump?tab=activity&maker=58YHxodnzZKxVBE5EsATs38ywEFV7M8ijjBoBkYAJY8J
+
+
+    
     df_dalao_count.to_excel(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/  f"counts_sol_transfer_{find_depth}.xlsx" ,index=False)
     df_sol_transfer.to_excel(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/  f"sec_sol_transfer_{find_depth}.xlsx" ,index=False)
      

src/code/test_my_find_zhuangjia/new_8004_merge_depth.py

@@ -37,10 +37,10 @@ find_depth = "depth_01"
 def main():
     df_sol_transfer = None
     for str_dalaoaddress in arr_str_dalaoaddress:
-        if not (baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/  "final"/f"sol_transfer_{str_dalaoaddress}.xlsx" ).exists():
+        if not (baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/  "final"/f"final_sol_transfer_{str_dalaoaddress}.xlsx" ).exists():
             continue
         print(f"enter {str_dalaoaddress}")
-        cur_df_sol_transfer = pd.read_excel(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/"final"/ f"sol_transfer_{str_dalaoaddress}.xlsx",dtype=object )
+        cur_df_sol_transfer = pd.read_excel(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/"final"/ f"final_sol_transfer_{str_dalaoaddress}.xlsx",dtype=object )
         cur_df_sol_transfer["dalaoaddress"] = str_dalaoaddress
         df_sol_transfer = pd.concat([df_sol_transfer,cur_df_sol_transfer])
     df_sol_transfer = df_sol_transfer.astype({
@@ -52,11 +52,12 @@ def main():
         
     })
  
+ 
     df_sol_transfer.to_excel(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/  f"fir_sol_transfer_{find_depth}.xlsx" ,index=False)
     mask_end = ( (df_sol_transfer["is_exend"]==1 ) | (df_sol_transfer["is_relationend"]==1))  
     end_df = df_sol_transfer[ mask_end]
     end_df.to_excel(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/  f"endaddress_sol_transfer_{find_depth}.xlsx" ,index=False)
-
+ 
     df_sol_transfer = df_sol_transfer[ ~mask_end].reset_index(drop=True)
 
     def get_dalao_len(gdf):
@@ -65,10 +66,24 @@ def main():
         return  gdf
 
     df_sol_transfer["dalao_count"] = 0
+    
 
     df_sol_transfer =   df_sol_transfer.groupby(by=["dalaoaddress"] ,group_keys=False  ).apply(lambda gdf:  get_dalao_len(gdf))
-    
+    df_sol_transfer = df_sol_transfer.sort_values(by=["dalao_count"],ascending=False)
     df_dalao_count = df_sol_transfer[[  "dalaoaddress", "dalao_count"  ]].drop_duplicates()
+
+    # str_tokenaddress_dalao_source
+
+ 
+    df_dalao_count["scan_activites"] = df_dalao_count.apply(lambda ser : baseclass.makeurl(f"https://solscan.io/account/{ser['dalaoaddress']}#defiactivities" , f"{ser['dalaoaddress'][0:6]}") , axis=1)
+ 
+    df_dalao_count["scan_token_source"] = df_dalao_count.apply(lambda ser : baseclass.makeurl(f"https://solscan.io/account/{ser['dalaoaddress']}?token_address={str_tokenaddress_dalao_source}#transfers" , f"{ser['dalaoaddress'][0:6]}") , axis=1)
+ 
+
+#  https://gmgn.ai/sol/token/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump?tab=activity&maker=58YHxodnzZKxVBE5EsATs38ywEFV7M8ijjBoBkYAJY8J
+
+    df_dalao_count=df_dalao_count.sort_values(by=["dalao_count"],ascending=False)
+    
     df_dalao_count.to_excel(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/  f"counts_sol_transfer_{find_depth}.xlsx" ,index=False)
     df_sol_transfer.to_excel(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/  f"sec_sol_transfer_{find_depth}.xlsx" ,index=False)
      

src/librarydata/ana_dalao_relation_by_solscan/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump/depth_01/mid/mid01_sol_transfer_5HKmPLjiFy7RqfWKCrrSGPvoXQnXfnBahRya8c13FgHd.csv

@@ -13,4 +13,3 @@ timestamp,txhash,datetime,from,to,amount
 1729005385,3sBd7BozFB3qAX5oC4M2Uu2n4jMS9dQGJmYcQCDQQGPdUz54CYYVuDuUXY6iovbiXngEztyfBpXcM6VBQVv5wPMK,2024-10-15 15:16:25,5HKmPLjiFy7RqfWKCrrSGPvoXQnXfnBahRya8c13FgHd,AC4LX7DTnA3FiZzhMdr11DGBLREJ46AopFJrZWmPxBpK,20.58
 1729004329,56KDPcd2ZKHFezJ1HMcWe8W8QbbE6fY4fhC24uxnJpbqgZ9AuYZmvZDkUcV7yY8gzJKm4ke9Ca7LTEMbERe2GKsd,2024-10-15 14:58:49,5HKmPLjiFy7RqfWKCrrSGPvoXQnXfnBahRya8c13FgHd,AC4LX7DTnA3FiZzhMdr11DGBLREJ46AopFJrZWmPxBpK,6.0
 1728990883,Xt9YhXgdHeeELjDz825g785KGKu9ScQn5eAwbM7MW4fwQPFSwRxo3KDg6qbWyMY4CEHMiotEYmrGZQvi29Q7UTv,2024-10-15 11:14:43,5HKmPLjiFy7RqfWKCrrSGPvoXQnXfnBahRya8c13FgHd,4CtKLFMmpacnXAFXzK2597yZSQB89w1JSoFS7huBexrR,12.91
-1728953988,3fNVJfCVgrUP34FzuCyooct6SbEXEsKvKsvLk5fiofwaHHmGmH6PPVB8aMe2Mfy12yQ95tFHtu4NENqNa4WkCkPx,2024-10-15 00:59:48,AnL1yEt83nFpeZtMAiHjuh79cbnUVjjQnnSLjGcxU2XV,5HKmPLjiFy7RqfWKCrrSGPvoXQnXfnBahRya8c13FgHd,27.0

src/librarydata/ana_dalao_relation_by_solscan/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump/depth_01/mid/mid01_sol_transfer_62GvRgevD9g93xoyV8SjFL5VKF2h7YhCvJWiLzfNm8uC.csv

@@ -19,4 +19,3 @@ timestamp,txhash,datetime,from,to,amount
 1729044927,WDVRmqnEc1vEtFs2hp2Sksn52voS1Abw6zDgo9r7UMW95YaT2uEdmduW3CQ6DMegKtBjMNARUHCh43rWvmLFbCh,2024-10-16 02:15:27,62GvRgevD9g93xoyV8SjFL5VKF2h7YhCvJWiLzfNm8uC,EiynhUSJDWriWm3r1qhod6ggm1A7YECwpqdMxZhXRgYf,5.13
 1729039613,3cJK4LjRHA1s2shjsXnVstL9cgaiMKLQdWDrdZh9HuvJxiMzzuPCzs9uwtEKhyjvsxNiteDKz6QgpgCcAMCRRWZE,2024-10-16 00:46:53,5VCwKtCXgCJ6kit5FybXjvriW3xELsFDhYrPSqtJNmcD,62GvRgevD9g93xoyV8SjFL5VKF2h7YhCvJWiLzfNm8uC,4.59
 1728992954,5mvTZ9vq1TS5LnKPJCvrmWiQSZnJh1tKKNkNvMeyouLEwUdCWnA423EdkXPuxJ2nCcW99hKS7P6Kt6ArDGKUvYS3,2024-10-15 11:49:14,5VCwKtCXgCJ6kit5FybXjvriW3xELsFDhYrPSqtJNmcD,62GvRgevD9g93xoyV8SjFL5VKF2h7YhCvJWiLzfNm8uC,10.21
-1728948213,AwgVKx2fYvWeE9g6rnyfQkz2xGmQL6zJg31e1WVgCQbE4gmVXF1y5rwoNBjtDzRTmuoBR9cU2CtHio54a6vdaRh,2024-10-14 23:23:33,62GvRgevD9g93xoyV8SjFL5VKF2h7YhCvJWiLzfNm8uC,EiynhUSJDWriWm3r1qhod6ggm1A7YECwpqdMxZhXRgYf,64.57

src/librarydata/ana_dalao_relation_by_solscan/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump/depth_01/mid/mid01_sol_transfer_9LB364wgGh3Mc57Mvg9Vi2gzLFjc7sJBUkRgQ5sBfaej.csv

@@ -20,4 +20,3 @@ timestamp,txhash,datetime,from,to,amount
 1729274279,3FqtFAf9EzizRckkzqqd6tZsoxDGo5P3xoqkbX1P4b6PwMFCLhaTGwwkr3CsiBFwhPtadyGLYT4srFFRjZwyppSb,2024-10-18 17:57:59,9LB364wgGh3Mc57Mvg9Vi2gzLFjc7sJBUkRgQ5sBfaej,FDqcF4rE5KtCf9xVHihxEAXuKAGVdFc4UQFZt9xjjWth,0.4
 1729264304,55jSFLBPnHkhPs3bopMqF6Aw5PpRpVztPHaBrFcDMe1Hsgkx1DmNJPPcCLXhU717shwLMmQS1dUKjDQBuzZrCAMp,2024-10-18 15:11:44,9LB364wgGh3Mc57Mvg9Vi2gzLFjc7sJBUkRgQ5sBfaej,ChFQHgCbDbddgJiphSuPHkeUxFESffZAkUVZ7rSi9yR5,6.49
 1728983908,62LTkzyjjQFYuqP3sKiVTJ3xNkmvg2T1NmxYCMves38pHyw2QMCFx1TDeRPhpT9UMdcFtyUAehM9jvfxgNR1PdbR,2024-10-15 09:18:28,5tzFkiKscXHK5ZXCGbXZxdw7gTjjD1mBwuoFbhUvuAi9,9LB364wgGh3Mc57Mvg9Vi2gzLFjc7sJBUkRgQ5sBfaej,6.51
-1728925063,4gFMct8kiWkcUs1sS2EKtiEYCpcbHKqdPEPJhBRSXi5iQYCuiagnbPMBE3cSdreBANbwoHg21uKCeYPwpnYTna3h,2024-10-14 16:57:43,9LB364wgGh3Mc57Mvg9Vi2gzLFjc7sJBUkRgQ5sBfaej,ChFQHgCbDbddgJiphSuPHkeUxFESffZAkUVZ7rSi9yR5,6.5

src/librarydata/ana_dalao_relation_by_solscan/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump/depth_01/mid/mid01_sol_transfer_9gpss8bMuEA5jfunfL3eCDJNZ5fpc3vY2phWFKpr1YwR.csv

@@ -5,4 +5,3 @@ timestamp,txhash,datetime,from,to,amount
 1729556746,3Ud4t5SC4TQus4kJ3xaZU2aQ2DeCpkYxqAndGbqgERayFiy86VBVEw2mXTx6SJqKENvtQh5hFeQWa5h1XhGtZbS3,2024-10-22 00:25:46,9gpss8bMuEA5jfunfL3eCDJNZ5fpc3vY2phWFKpr1YwR,8HWKSxun9CWhhmig7VnFS855jEqd7L3ZELEofVWHPiK1,15.06
 1729187608,2GX5N3aYxhw93quFaud78UbyJVkr11tCaFj9mwK7hoZ4Gc8RsDguH8K6KL6RS8WQfLwE2K5wy8xFJRPGNkjnRbYm,2024-10-17 17:53:28,9gpss8bMuEA5jfunfL3eCDJNZ5fpc3vY2phWFKpr1YwR,Ctf2L32xkAWFUkxBWsnvif8ewzuGy6G9yC8aihyYLmhb,10.0
 1729187336,3aSxY98Tjh77GjqrieBhwx64m7NYRDFgtH1hs5EUWnpWXDGE4Q699oxD6m8gFwiXf3v9XpBf8dFXzccbMgJQtoN7,2024-10-17 17:48:56,8HWKSxun9CWhhmig7VnFS855jEqd7L3ZELEofVWHPiK1,9gpss8bMuEA5jfunfL3eCDJNZ5fpc3vY2phWFKpr1YwR,10.1
-1728957485,5kxcve8fVAWVZXuCkB5vkqePgsTZrbCx7AjWJhAkzcWbsqujUV8q8UYjj3r83FkMK5PJ1ub3R1oJshWbRtvWqwrc,2024-10-15 01:58:05,AMAAbcMLVEBH8EYrqyq77dtfMnwJS4KDgDC5yjG48Evt,9gpss8bMuEA5jfunfL3eCDJNZ5fpc3vY2phWFKpr1YwR,0.57

src/librarydata/ana_dalao_relation_by_solscan/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump/depth_01/mid/mid01_sol_transfer_Bt65TtMCey7GARig16qp7LmxzYHwWyBitKJBswPeFsXE.csv

@@ -1,3 +1,2 @@
 timestamp,txhash,datetime,from,to,amount
 1729283593,tUTUDRewj4wT9bZ7QNcDfDDEinm7wb3gM1dAbnJzxjoKwaN6C4LDkz7kJrD7VWv5eVhJ8rbVGhodfU5GQ2sC3A4,2024-10-18 20:33:13,B6bhK3yykBf19a24mivZ2Lf8ccLLyGQ2QLVzna4uc7ba,Bt65TtMCey7GARig16qp7LmxzYHwWyBitKJBswPeFsXE,0.76
-1728939814,3Kn492KgjVYikmM2H7JLZmkFRkuYUG8d1JmTjU8BiHAgZQL2UAvjCcCCXPZADY4hipBnFKgAeYG6hue7gQjqkfVT,2024-10-14 21:03:34,G2YxRa6wt1qePMwfJzdXZG62ej4qaTC7YURzuh2Lwd3t,Bt65TtMCey7GARig16qp7LmxzYHwWyBitKJBswPeFsXE,9.93

src/librarydata/ana_dalao_relation_by_solscan/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump/depth_01/mid/mid01_sol_transfer_C7JWFr5NHJ5kVmu9z5qjttgvgnSGaUyJsUzc3PuqE6BP.csv

@@ -6,5 +6,3 @@ timestamp,txhash,datetime,from,to,amount
 1729145108,4Bsa6NtrCCMjrhp17n72VAWmXA9yNGv1rsYG76VmDhKVRh2hF4dHpHh1ZqsiXbBT78N1E2Gr7N7y7PD7GkgKZDjL,2024-10-17 06:05:08,C7JWFr5NHJ5kVmu9z5qjttgvgnSGaUyJsUzc3PuqE6BP,9Ec1u2UG58HfKVV7nKFmWQdWgJG6eCbggHGuPvdoJAg6,1.0
 1729143680,5uYFDXSkCAgrVBZQBppXRJ9uRAPvmBDSbGPefoX5ZawtNTNGQhj7hryMPYL6mv3R1eVJXsTiS8dnjqEhpCgHQdyP,2024-10-17 05:41:20,C7JWFr5NHJ5kVmu9z5qjttgvgnSGaUyJsUzc3PuqE6BP,AJENSD55ZJBwipZnEf7UzW2pjxex1cV2jSKPz7aMwJo5,0.64
 1729011295,3gg3EJM7cUnVAgjcXMfHqrnt3YVCKcpNoA5eroEx8xTEZjfVCAF2CeQbwxUrme3SJ5x4vp769Ygx51ZjLoQzx3n9,2024-10-15 16:54:55,C7JWFr5NHJ5kVmu9z5qjttgvgnSGaUyJsUzc3PuqE6BP,FHXTARd3nnNG8Mzc84EANvVBg3yGAtsLKiBjo9wwXA8d,3.0
-1728919398,CR9qX7Woad7mTTJyZ7SMSSbxt6Gw3xNyQL6NLNVypXQR8tgq2UNn4C6yFxs9aMdX2rric7oDL5VA9dujSA8A96L,2024-10-14 15:23:18,C7JWFr5NHJ5kVmu9z5qjttgvgnSGaUyJsUzc3PuqE6BP,2y5x7FKhJx1r6NcqHfVk5CubkFQeWSELeepuXmVWY2dE,0.3
-1728916545,3wKtAWvexrgiuJNfXeFybxMvGQREoazY1vbe2siGf4LLhFMQTGcyqfcMbY7q2po2bVt4dXoCQpDovPccZkSWfF7,2024-10-14 14:35:45,C7JWFr5NHJ5kVmu9z5qjttgvgnSGaUyJsUzc3PuqE6BP,2y5x7FKhJx1r6NcqHfVk5CubkFQeWSELeepuXmVWY2dE,0.5

src/librarydata/ana_dalao_relation_by_solscan/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump/depth_01/mid/mid01_sol_transfer_CSjHti7ML8zUuCY8WwLbMVJMJghT9vPeviuFE273zMwn.csv

@@ -4,5 +4,3 @@ timestamp,txhash,datetime,from,to,amount
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