(add): 增加获取dalao ATA

src/code/40000_getATA_for_analysisToken.py

@@ -0,0 +1,138 @@
+
+from base_class import BaseVariableFunction
+from base_class import *
+baseclass = BaseVariableFunction(__file__)
+
+old_print = print
+ 
+
+def timestamped_print(*args, **kwargs):
+    old_print(datetime.datetime.utcnow().replace(
+        microsecond=0), *args, **kwargs)
+
+def makescreenurl( urlname,urlparam):
+    # pairAddress = series[address_str]
+    urlname = urlname + urlparam
+    return '=HYPERLINK("{}","{}")'.format(urlname, urlname)
+
+print = timestamped_print
+print('\n'*5)
+print(f"{'{:<6}'.format('enter')}  ----------------NOTE-----------NOTE---------------")
+ 
+
+
+url = "https://solana-mainnet.g.alchemy.com/v2/pxF-cEkEE1JxzxgotGyww5ra5w1IvAkJ"
+
+def init_payload():
+    
+    global payload_getTokenAccountsByOwner
+    payload_getTokenAccountsByOwner = {
+    "id": 1,
+    "jsonrpc": "2.0",
+    "method": "getTokenAccountsByOwner",
+     "params": [ "",
+                
+                {
+            "mint":str_tokenaddress
+        }, {
+            "encoding": "jsonParsed"
+        }
+                
+                ],
+}
+    
+    return
+
+
+payload_getTokenAccountsByOwner = {
+  
+}
+headers = {
+    "accept": "application/json",
+    "content-type": "application/json"
+}
+
+ 
+    
+
+
+
+
+def get_dalao_ata():
+    df_top_gmgn_sol = pd.DataFrame(columns=["Maker","ATA"])
+    df_holder_gmgn_sol  = pd.DataFrame(columns=["Maker","ATA"])
+    if (baseclass.analysis_token_path /str_tokenaddress/
+                       f"{str_tokenaddress}_top_gmgn_sol.csv").exists():
+        df_top_gmgn_sol = pd.read_csv(baseclass.analysis_token_path /str_tokenaddress/
+                       f"{str_tokenaddress}_top_gmgn_sol.csv", dtype=object)
+        if "ATA" not in df_top_gmgn_sol.columns:
+            df_top_gmgn_sol["ATA"] = "0"
+            
+        
+    if (baseclass.analysis_token_path /str_tokenaddress/
+                       f"{str_tokenaddress}_holder_gmgn_sol.csv").exists():
+        df_holder_gmgn_sol = pd.read_csv(baseclass.analysis_token_path /str_tokenaddress /
+                       f"{str_tokenaddress}_holder_gmgn_sol.csv", dtype=object)
+        if "ATA" not in df_holder_gmgn_sol.columns:
+            df_holder_gmgn_sol["ATA"] = "0"
+ 
+    df =  pd.concat([df_top_gmgn_sol[["Maker","ATA"]], df_holder_gmgn_sol[["Maker","ATA"]]], ignore_index=True)
+  
+ 
+    df=df[df["ATA"]=="0"].reset_index(drop=True)
+    arr_dalaoaddress = df["Maker"].drop_duplicates().tolist()
+ 
+ 
+    while len(arr_dalaoaddress)>0:
+        if len(arr_dalaoaddress)%10==0:
+            print(f"remainder len = {len(arr_dalaoaddress)}")
+        
+        str_dalaoaddress =arr_dalaoaddress[0]
+        print(f"str_dalaoaddress= {str_dalaoaddress} ")
+        payload_getTokenAccountsByOwner["params"][0] =str_dalaoaddress
+        
+        req_response = requests.post(url, json=payload_getTokenAccountsByOwner, headers=baseclass.headers,timeout=10)
+        if req_response.status_code != 200:
+            print(" req_response.status_code=", req_response.status_code)
+            time.sleep(2)
+            continue
+        arr_dalaoaddress.pop(0)
+        # if str_dalaoaddress !="4LQuLeQYrAsqHtsJ3s15dT8A4Jpbr6iEKnK2DJAL7ZNo":
+        #     continue
+        response_data = req_response.json() 
+        # response_data = req_response.json()
+        ata_addata_address = "-1"
+        if len( response_data["result"]["value"])==0:
+            ata_addata_address ="-1"
+        else:
+            ata_addata_address =  response_data["result"]["value"][0]["pubkey"]  
+            
+        df_top_gmgn_sol.loc[df_top_gmgn_sol["Maker"]==str_dalaoaddress,"ATA"] = ata_addata_address 
+        df_holder_gmgn_sol.loc[df_holder_gmgn_sol["Maker"]==str_dalaoaddress,"ATA"] = ata_addata_address
+        print(f"ata_addata_address= {ata_addata_address}")
+   
+        if len(arr_dalaoaddress)%5==0 or len(arr_dalaoaddress)<=2:
+            if (baseclass.analysis_token_path /str_tokenaddress/
+                            f"{str_tokenaddress}_top_gmgn_sol.xlsx").exists():
+                df_top_gmgn_sol.to_excel(baseclass.analysis_token_path /str_tokenaddress/
+                            f"{str_tokenaddress}_top_gmgn_sol.xlsx",index=False )
+                df_top_gmgn_sol.to_csv(baseclass.analysis_token_path /str_tokenaddress/
+                            f"{str_tokenaddress}_top_gmgn_sol.csv",index=False )
+            if (baseclass.analysis_token_path /str_tokenaddress/
+                            f"{str_tokenaddress}_holder_gmgn_sol.xlsx").exists():
+                df_holder_gmgn_sol.to_excel(baseclass.analysis_token_path /str_tokenaddress/
+                            f"{str_tokenaddress}_holder_gmgn_sol.xlsx", index=False )
+    
+                df_holder_gmgn_sol.to_csv(baseclass.analysis_token_path /str_tokenaddress/
+                            f"{str_tokenaddress}_holder_gmgn_sol.csv", index=False )
+    return
+
+
+
+str_tokenaddress = "4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump"
+ 
+init_payload()
+get_dalao_ata()
+
+print(f"{'{:<6}'.format('END')} {baseclass.scriptfilename} ----------------NOTE-----------NOTE---------------")
+

src/code/base_class.py

@@ -60,6 +60,8 @@ class BaseVariableFunction:
         
         self.dalao_tran_defined_path = self.librarydata_path/"dalao_tran_defined/"
         
+        self.analysis_token_path  =self.library_path / "analysis_token/"
+        
         
  
         self.dalao_transfer_solanafm_path = self.librarydata_path / \

src/code/tamper_get_topAholders_sol_gmgn.js

@@ -60,7 +60,7 @@ function get_thead_arr_toptrader() {
     return titlearr;
 }
 
- 
+
 async function get_tbody_data_toptrader() {
 
     let div_has_tran_table = document.querySelector("div.chakra-tabs__tab-panels.css-2zi8qu");
@@ -225,7 +225,7 @@ async function get_tbody_data_toptrader() {
 
 }
 
- 
+
 async function get_tbody_data_holders() {
 
     let div_has_tran_table = document.querySelector("div.chakra-tabs__tab-panels.css-2zi8qu");
@@ -251,7 +251,7 @@ async function get_tbody_data_holders() {
                 let a_element = arr_tds[i].querySelector("a");
                 let str_trader = a_element.href.split('/').pop();
                 tdtexts[0] = str_trader;
-                 
+
 
             }
             else if (i == 1) {
@@ -270,38 +270,38 @@ async function get_tbody_data_holders() {
                     }
                 }
                 tdtexts[1] = float_balance;
-               
+
 
             } else if (i == 2) {
                 // old bought
                 // Owned%
 
                 let str_owned = "0";
-          
+
                 let float_sol = 0;
 
                 let arr_owned_sol = arr_tds[i].children[0].children;
-              
+
                 str_owned = arr_owned_sol[0].innerText.trim().toLowerCase();
                 str_owned = str_owned.replace(/[%]/g, "").trim();
-               
+
                 float_sol = parseFloat(str_owned);
                 tdtexts[2] = float_sol;
-              
-              
+
+
 
 
             } else if (i == 3) {
                 // sold
                 // inflow/Amount
-         
+
                 let str_token_amount = "0";
                 let float_token_amount = 0;
 
                 let arr_sol_amount = arr_tds[i].children[0].children;
-           
+
                 str_token_amount = arr_sol_amount[1].innerText.trim().toLowerCase();
-             
+
                 float_token_amount = parseFloat(str_token_amount);
                 for (let number_char of number_chars_arr) {
                     if (str_token_amount.indexOf(number_char) != -1) {
@@ -309,7 +309,7 @@ async function get_tbody_data_holders() {
                     }
                 }
                 tdtexts[3] = float_token_amount;
-             
+
 
 
 
@@ -318,28 +318,28 @@ async function get_tbody_data_holders() {
                 // pnl
                 continue;
 
-           
- 
+
+
             } else if (i == 5) {
-               // Avg Cost/Sold
+                // Avg Cost/Sold
                 continue;
             }
             else if (i == 6) {
                 // Buy/Sell
 
-            
 
-              
-              let  str_buysell_counts = arr_tds[i].innerText.trim().toLowerCase();
-                str_buysell_counts = str_buysell.replace(/[\s+]/g, "").trim();
- 
-               let arr_buysell_counts = str_buysell_counts.split("/");
 
-               let str_buy_counts = arr_buysell_counts[0];
-             let   str_sell_counts =arr_buysell_counts[1];
 
-             let   float_buy_counts = parseFloat(str_buy_counts);
-             let    float_sell_counts = parseFloat(str_sell_counts);
+                let str_buysell_counts = arr_tds[i].innerText.trim().toLowerCase();
+                str_buysell_counts = str_buysell_counts.replace(/[\s+]/g, "").trim();
+
+                let arr_buysell_counts = str_buysell_counts.split("/");
+
+                let str_buy_counts = arr_buysell_counts[0];
+                let str_sell_counts = arr_buysell_counts[1];
+
+                let float_buy_counts = parseFloat(str_buy_counts);
+                let float_sell_counts = parseFloat(str_sell_counts);
 
                 for (let number_char of number_chars_arr) {
                     if (str_buy_counts.indexOf(number_char) != -1) {
@@ -356,7 +356,7 @@ async function get_tbody_data_holders() {
 
                 continue
 
-            }  else if (i == 7) {
+            } else if (i == 7) {
                 // Last Active
                 continue
 
@@ -381,6 +381,18 @@ function save_resdata_toptrader() {
     res_data_toptrader = [];
 
 }
+
+function save_resdata_holders() {
+    console.log("enter save_resdata_holders");
+    res_data_get_holders.forEach((val, index, arr) => { arr[index] = val.join() + "\n" });
+    let urlpathname = window.location.pathname.slice(1).split('/');
+    urlpathname = urlpathname.pop()
+
+    funcDownload(res_data_get_holders.join(""), urlpathname + "_holder_gmgn_sol" + "_" + parseInt(Date.now() / 1000) + ".csv");
+    res_data_get_holders = [];
+
+}
+
 function autoScroll_toptrader() {
     console.log("enter autoScroll_toptrader");
 
@@ -432,16 +444,7 @@ function autoScroll_toptrader() {
 }
 
 
-function save_resdata_holders() {
-    console.log("enter save_resdata_holders");
-    res_data_get_holders.forEach((val, index, arr) => { arr[index] = val.join() + "\n" });
-    let urlpathname = window.location.pathname.slice(1).split('/');
-    urlpathname = urlpathname.pop()
-
-    funcDownload(res_data_get_holders.join(""), urlpathname + "_top_gmgn_sol" + "_" + parseInt(Date.now() / 1000) + ".csv");
-    res_data_get_holders = [];
 
-}
 function autoScroll_holders() {
     console.log("enter autoScroll_holders");
 
@@ -516,7 +519,7 @@ var res_data_toptrader = [];
     button_holders.style.background = "#045710"; //按钮底色
     button_holders.style.border = "1px solid #045710"; //边框属性
 
-    
+
     var button_get_toptrader = document.createElement("button");//创建 获取 top trader 一个按钮
     button_get_toptrader.className = "tam-mybutton-gettran"
     button_get_toptrader.textContent = "top"; //按钮内容
@@ -527,7 +530,7 @@ var res_data_toptrader = [];
     button_get_toptrader.style.background = "#717171"; //按钮底色
     button_get_toptrader.style.border = "1px solid #717171"; //边框属性
 
-    mydivbox.appendChild(button_get_toptrader);    
+    mydivbox.appendChild(button_get_toptrader);
     mydivbox.appendChild(button_holders);
 
     mydivbox.style.position = "fixed";
@@ -559,12 +562,12 @@ async function clickButton_get_toptrader() {
         console.log("no tab_top_trader_click");
         return;
     }
-    console.log("  tab_top_trader_click click="   );
+    console.log("  tab_top_trader_click click=");
     await tab_top_trader_click.click();
     await sleep(7000);
 
     let div_has_tran_table;
-   
+
     let _thead;
 
     // chakra-tabs__tablist css-1p75jc5
@@ -609,7 +612,7 @@ async function clickButton_get_holders() {
 
     div_has_tran_table = document.querySelector("div.chakra-tabs__tab-panels.css-2zi8qu");
     _thead = div_has_tran_table.querySelector("div.css-1o2kb31 thead.g-table-thead");
-    
+
     let arr_th = _thead.querySelectorAll("th");
     let tab_click_USD_holder = arr_th[1].querySelector("div.css-1szs8yo");
     if (tab_click_USD_holder.innerText.includes("USD")) {

src/code/tempCodeRunnerFile.py

@@ -1 +1 @@
-r
+0

src/library/analysis_token/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump/4GULMPKBJLruChBZWksZzukAg1AjSCmCTMn9ny2Xpump_holder_gmgn_sol.csv

@@ -0,0 +1,101 @@
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