|
@@ -0,0 +1,126 @@
|
|
|
|
+
|
|
|
|
+# from datetime import datetime, timezone
|
|
|
|
+# from playwright.async_api import async_playwright, Playwright
|
|
|
|
+# from playwright.sync_api import expect
|
|
|
|
+
|
|
|
|
+from base_class import BaseVariableFunction
|
|
|
|
+from base_class import *
|
|
|
|
+baseclass = BaseVariableFunction(__file__)
|
|
|
|
+
|
|
|
|
+baseclass.makedirpath(baseclass.ana_dalao_relation_by_solscan_path )
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+old_print = print
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+def timestamped_print(*args, **kwargs):
|
|
|
|
+ old_print(datetime.datetime.utcnow().replace(
|
|
|
|
+ microsecond=0), *args, **kwargs)
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+print = timestamped_print
|
|
|
|
+print('\n'*5)
|
|
|
|
+print(f"{'{:<6}'.format('ENTER')} {baseclass.scriptfilename} ----------------NOTE-----------NOTE---------------")
|
|
|
|
+
|
|
|
|
+arr_exclude_address=[
|
|
|
|
+
|
|
|
|
+]
|
|
|
|
+arr_realtion_address =[]
|
|
|
|
+
|
|
|
|
+now_time = time.time()
|
|
|
|
+df = pd.read_excel(baseclass.dalao_tran_gmgnOrdex_path /
|
|
|
|
+ "input_dalao.xlsx", dtype=object)
|
|
|
|
+arr_str_dalaoaddress = df['dalaoaddress'].tolist()
|
|
|
|
+# arr_str_dalaoaddress=arr_str_dalaoaddress[0:2]
|
|
|
|
+arr_realtion_address = arr_realtion_address + arr_str_dalaoaddress
|
|
|
|
+str_tokenaddress_dalao_source = "4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump"
|
|
|
|
+find_depth = "depth_01"
|
|
|
|
+
|
|
|
|
+baseclass.makedirpath(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source )
|
|
|
|
+baseclass.makedirpath(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source /find_depth )
|
|
|
|
+baseclass.makedirpath(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source /find_depth/"mid" )
|
|
|
|
+baseclass.makedirpath(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source /find_depth/"final" )
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+def drop_ex_txhash(gdf):
|
|
|
|
+ is_ex = False
|
|
|
|
+ if( ( gdf["action"] != "TRANSFER" )
|
|
|
|
+ | (gdf["timestamp"]<now_time - 1*30* 24* 3600 )
|
|
|
|
+ |( gdf["from"].isin(arr_exclude_address))
|
|
|
|
+ |( gdf["to"].isin(arr_exclude_address))
|
|
|
|
+ ).any( ):
|
|
|
|
+ is_ex = True
|
|
|
|
+
|
|
|
|
+ if is_ex:
|
|
|
|
+ return None
|
|
|
|
+ if ( set( gdf["from"].tolist() ).intersection(gdf["to"].tolist()) ):
|
|
|
|
+ is_ex = True
|
|
|
|
+ if is_ex:
|
|
|
|
+ return None
|
|
|
|
+ return gdf
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+def sum_same_tx_from_to(gdf ):
|
|
|
|
+ gdf["amount"] = sum(gdf["amount"])
|
|
|
|
+ gdf=gdf.drop_duplicates()
|
|
|
|
+ return gdf
|
|
|
|
+
|
|
|
|
+def sum_same_from_to(gdf ):
|
|
|
|
+ gdf["timestamp"] = max(gdf["timestamp"] )
|
|
|
|
+ gdf["datetime"] = max(gdf["datetime"] )
|
|
|
|
+ gdf["amount"] = sum(gdf["amount"])
|
|
|
|
+ gdf=gdf.drop_duplicates()
|
|
|
|
+ return gdf
|
|
|
|
+def main():
|
|
|
|
+ global arr_exclude_address
|
|
|
|
+ for str_dalaoaddress in arr_str_dalaoaddress:
|
|
|
|
+ print(f"enter {str_dalaoaddress}")
|
|
|
|
+ cur_arr_realtion_address =arr_realtion_address.copy()
|
|
|
|
+ cur_arr_realtion_address.remove(str_dalaoaddress)
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+ df_sol_transfer =pd.read_csv(baseclass.dalao_solscan_info_path / f"sol_transfer_{str_dalaoaddress}.csv" ,dtype=object)
|
|
|
|
+ df_token_inflow =pd.read_csv(baseclass.dalao_solscan_info_path / f"token_inflow_{str_dalaoaddress}.csv" ,dtype=object)
|
|
|
|
+ df_token_outflow =pd.read_csv(baseclass.dalao_solscan_info_path / f"token_outflow_{str_dalaoaddress}.csv" ,dtype=object)
|
|
|
|
+ df_usdc_transfer =pd.read_csv(baseclass.dalao_solscan_info_path / f"usdc_transfer_{str_dalaoaddress}.csv" ,dtype=object)
|
|
|
|
+
|
|
|
|
+ arr_no_sol_transfer_tx_01 = df_token_inflow["Signature"].tolist() + df_token_outflow["Signature"].tolist() + df_usdc_transfer["Signature"].tolist()
|
|
|
|
+
|
|
|
|
+ df_sol_transfer = df_sol_transfer[~df_sol_transfer["Signature"].isin(arr_no_sol_transfer_tx_01)].reset_index(drop=True)
|
|
|
|
+
|
|
|
|
+ df_sol_transfer.columns=["txhash","timestamp","action","from","to","amount","decimals","tokenaddress"]
|
|
|
|
+ df_sol_transfer=df_sol_transfer.astype({
|
|
|
|
+ "timestamp":int,
|
|
|
|
+ "amount":float,
|
|
|
|
+ "decimals":int,
|
|
|
|
+ })
|
|
|
|
+
|
|
|
|
+ df_sol_transfer = df_sol_transfer.groupby(by=["txhash"], group_keys=False).apply(lambda gdf: drop_ex_txhash(gdf))
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+ if(len(df_sol_transfer)==0):
|
|
|
|
+ continue
|
|
|
|
+ token_decimal = (df_sol_transfer["decimals"].tolist()[0])
|
|
|
|
+ df_sol_transfer["amount"] = df_sol_transfer["amount"] / 10**token_decimal
|
|
|
|
+ df_sol_transfer["amount"] = df_sol_transfer["amount"].round(2)
|
|
|
|
+ df_sol_transfer["datetime"] = pd.to_datetime(df_sol_transfer['timestamp'], unit='s')
|
|
|
|
+ df_sol_transfer = df_sol_transfer[["timestamp", "txhash", "datetime" ,"from","to","amount"]]
|
|
|
|
+
|
|
|
|
+ df_sol_transfer = df_sol_transfer.groupby(by = ["txhash","from","to" ], group_keys=False).apply(lambda gdf: sum_same_tx_from_to(gdf))
|
|
|
|
+ df_sol_transfer.to_csv(baseclass.ana_dalao_relation_by_solscan_path /str_tokenaddress_dalao_source/find_depth/ "mid" /f"mid_sol_transfer_{str_dalaoaddress}.csv",index=False)
|
|
|
|
+
|
|
|
|
+ df_sol_transfer = df_sol_transfer[[ "timestamp", "datetime", "from","to","amount"]]
|
|
|
|
+ df_sol_transfer = df_sol_transfer.groupby(by = [ "from","to" ], group_keys=False).apply(lambda gdf: sum_same_from_to(gdf))
|
|
|
|
+
|
|
|
|
+ df_sol_transfer["is_exend"] = 0
|
|
|
|
+ df_sol_transfer["is_relationend"] = 0
|
|
|
|
+ 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
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+ 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"sol_transfer_{str_dalaoaddress}.xlsx",index=False)
|
|
|
|
+
|
|
|
|
+
|
|
|
|
+main()
|