finddalao_sol/src/code/004_notuse_get_dalaotransfer_solanafm_byaccount.py

from base_class import *
from base_class import BaseVariableFunction
import urllib.parse
import shutil
import random


import json


old_print = print


def timestamped_print(*args, **kwargs):
    old_print(datetime.datetime.utcnow().replace(
        microsecond=0), *args, **kwargs)


print = timestamped_print
baseclass = BaseVariableFunction(__file__)
print('\n'*5)
print(f"{'{:<6}'.format('ENTER')} {baseclass.scriptfilename} ----------------NOTE-----------NOTE---------------")
baseclass.makedirpath(baseclass.dalao_transfer_solanafm_path)


def request_onetime(req_dict_total, key_idx, write_tokens_path, loop):
    requests_dict = req_dict_total.get(key_idx)
    if requests_dict is None:
        return
    elif requests_dict['isrequseting'] == True:
        return
    elif requests_dict['need_remove'] == True:
        print(f"key_idx {key_idx} need_remove\n", end='')
        if req_dict_total.get(key_idx) is not None:
            print(f"remove  {cur_conadd} {key_idx}\n", end='')
            del req_dict_total[key_idx]
        return
    requests_dict['isrequseting'] = True

    cur_conadd = requests_dict["req_params"]["address"]
    print(f"enter key_idx={key_idx} cur_conadd={cur_conadd}\n", end='')
    # 如果此次請求結果為最大offset，請求結果不全，如果沒到最大請求次數，繼續請求，
    # 否則保存錯誤 但不删除这个token的csv
    if requests_dict["offsettimes"] >= requests_dict["offsettimes_max"]:
        requests_dict["need_remove"] = True
        if req_dict_total.get(key_idx) is not None:
            print(f"remove  {cur_conadd} {key_idx}\n", end='')
            del req_dict_total[key_idx]
        print(
            f"{cur_conadd} length to max\n", end='')

        return

    req_response = None
    req_url = f"https://api.solana.fm/v0/accounts/{requests_dict['req_params']['address']}/transfers?utcFrom={requests_dict['req_params']['startrange']}&utcTo={requests_dict['req_params']['endrange']}&limit=100&page=1"
    
    try:
        req_response = requests.get(
            req_url, timeout=requests_dict['timeout'], headers=baseclass.solana_fm_headers)
        time.sleep(0.2)

    except Exception as e:
        print(f"cur_conadd= {cur_conadd} errmsg={ str(e)}")
        if (" Max retries exceeded" in str(e)):
            time.sleep(2+random.random())
        requests_dict['timeout'] = 15
        requests_dict['isrequseting'] = False
        return
    requests_dict["req_response"] = req_response
    write_tokens_path_name = baseclass.dalao_transfer_solanafm_path / \
        f"{cur_conadd}.json"
    # 请求结果不成功
    if requests_dict["req_response"].status_code != 200:
        print(
            f"cur_conadd= {cur_conadd} response status_code= {requests_dict['req_response'].status_code}")
        if requests_dict["req_response"].status_code == 429:
            time.sleep(0.4)

        requests_dict['isrequseting'] = False

        return

    # 如果請求結果為成功
    tokenresponse = json.loads(
        requests_dict["req_response"].text)
    # 結果不正常  continue
    if tokenresponse["status"] != "success":
        baseclass.handle_IF_tokenresponse_NOTOK(tokenresponse=tokenresponse,

                                                cur_conadd=cur_conadd,
                                                key_idx=key_idx,
                                                requests_dict=requests_dict,
                                                req_dict_total=req_dict_total)
        requests_dict['isrequseting'] = False
        return

    # 結果正常 獲取txlist
    txlist = None
    txlist = tokenresponse["results"]
    if (txlist == None or len(txlist) == 0):
        print(f"loop={loop} add={cur_conadd} txlisst={txlist}")

        requests_dict["need_remove"] = True
        if req_dict_total.get(key_idx) is not None:
            print(f"remove {cur_conadd} {key_idx}\n", end='')
            del req_dict_total[key_idx]
        requests_dict['isrequseting'] = False
        return

    requests_dict["offsettimes"] += 1
    if requests_dict["offsettimes"] == 1:
        requests_dict["isfirstreq"] = True
    else:
        requests_dict["isfirstreq"] = False
    if requests_dict["isfirstreq"] == True:
        # 如果是第一次请求 删除过去的csv文件
        # 如果有这个csv文件 删除
        if os.path.exists(write_tokens_path_name):
            write_tokens_path_name.unlink()
    cur_zero_txhash = txlist[0]['transactionHash']
    cur_last_txhash = txlist[len(txlist)-1]['transactionHash']
    print(
        f"loop={loop} add={cur_conadd}  range={requests_dict['req_params']['startrange'] } {requests_dict['req_params']['endrange']}  len={len(txlist)} zero_txhash={cur_zero_txhash} last_txhash={cur_last_txhash}")
    if (len(txlist) < 100):
        # 如果此次請求結果不是最大offset，請求了全部結果，保存文本
        requests_dict["need_remove"] = True
        if req_dict_total.get(key_idx) is not None:
            print(f"remove {cur_conadd} {key_idx}\n", end='')
            del req_dict_total[key_idx]

        if (len(txlist) == 0):
            requests_dict['isrequseting'] = False
            return
        cur_minrange = txlist[len(txlist)-1]["data"][0]["timestamp"]
        cur_maxrange = txlist[0]["data"][0]["timestamp"]

        # 如果没有这个csv文件 直接写入
        cur_file = []
        if not write_tokens_path_name.exists():
            print(f"loop={loop} {cur_conadd} 第一次文件\n", end='')

        else:
            with write_tokens_path_name.open(mode="r") as f:
                cur_file = json.load(f)

        cur_file = cur_file + txlist
        print(f"{cur_conadd} 全部写入\n", end='')
        with write_tokens_path_name.open(mode='w') as f:
            json.dump(cur_file, f)

        requests_dict['isrequseting'] = False
        return
    elif (len(txlist) >= 100):
        # # 如果此次請求結果為最大offset，請求結果不全，如果沒到最大請求次數，繼續請求，
        # # 否則保存錯誤 但不删除这个token的csv
        requests_dict["need_remove"] = False
        # 更換 start
        cur_minrange = txlist[len(txlist)-1]["data"][0]["timestamp"]
        cur_maxrange = txlist[0]["data"][0]["timestamp"]

        while (True):
            if (txlist[len(txlist)-1]["data"][0]["timestamp"] < cur_minrange+1):
                txlist.pop(len(txlist)-1)
                continue
            else:
                break

        # 如果没有这个csv文件 直接写入
        cur_file = []
        if not write_tokens_path_name.exists():
            print(f"loop={loop} {cur_conadd} 第一次文件\n", end='')

        else:
            with write_tokens_path_name.open(mode="r") as f:
                cur_file = json.load(f)

        cur_file = cur_file + txlist
        print(f"{cur_conadd} 全部写入\n", end='')
        with write_tokens_path_name.open(mode='w') as f:
            json.dump(cur_file, f)

        requests_dict["req_params"]["endrange"] = int(
            cur_minrange+1)

        baseclass.judge_req_completed(requests_dict=requests_dict,
                                      key_idx=key_idx, cur_conadd=cur_conadd, req_dict_total=req_dict_total)
        requests_dict['isrequseting'] = False
        return

    return


def getonetran(address_list,  write_tokens_path,    offsettimes_max):
    global startrange
    global endrange
    print(f"enter getonetran  ")
    req_dict_total = {}
    for idx, address in enumerate(address_list):
        key_idx = str(idx)
        req_dict = baseclass.init_req_dict(
            startrange=startrange,
            endrange=endrange,
            address=address,
            key_idx=key_idx,
            offsettimes_max=offsettimes_max,
            remainder_retry_times_max=5,
            timeout=20)
        req_dict_total[key_idx] = req_dict

    loop = 0
    while (len(req_dict_total.keys()) > 0):
        loop += 1
        # 獲取可以同步請求的address長度 ，traders 長都可能小於 requests_dict定義的長度
        # grequest_len 為 requests_dict長度和實際tokencontracts長度取最小值
        print(
            f"remainder_address_len :{len(req_dict_total.keys())}")

        # temp_req_dict_total = {}
        temp_split_req_dict_total_list = list(req_dict_total.keys())
        temp_split_req_dict_total_list = temp_split_req_dict_total_list[0:20]

        temp_req_dict_total_keys_list = []
        for key in temp_split_req_dict_total_list:
            temp_req_dict_total_keys_list.append(key)
        # 進行異步請求
        i = 0
        thread_list = []
        for key in temp_req_dict_total_keys_list:
            i += 1
            request_onetime(req_dict_total, key, write_tokens_path,  loop)
            time.sleep(0.1)
            # thread = threading.Thread(
            #     target=request_onetime,
            #     args=(
            #         req_dict_total, key, write_tokens_path,  loop)
            # )
            # thread_list.append(thread)
            # if (i % 4 == 0):
            #     #  总数4个,查询一遍
            #     for thread in thread_list:
            #         thread.start()
            #     for thread in thread_list:
            #         thread.join()
            #     thread_list = []
            #     time.sleep(0.8)
            # elif i == len(temp_req_dict_total_keys_list):
            #     #  总数不足10个,把剩下的也查询一遍
            #     print('remainder len less 5', datetime.datetime.now())
            #     for thread in thread_list:
            #         thread.start()
            #     for thread in thread_list:
            #         thread.join()
            #     thread_list = []

        time.sleep(0.3)

    return


def get_3trans_byScan(address_list, write_tokens_path,):

    # 此方法獲取 從bscapi獲取的 的3trans
    # 有 requests_3trans_dict 和requests_tokenadd_dict兩種類型對應contractaddress和address
    # 使用grequests 進行異步請求獲取
    # offsettimes_max 為請求的數據次數，最大總數為 offsettimes_max*offset (offset 為params的offset)
    # param_sort 為請求參數params 的sort
    print("enter get_3trans_byScan_()")
    contractadd_tokentx_list = copy.deepcopy(address_list)
    getonetran(address_list=contractadd_tokentx_list,
               write_tokens_path=write_tokens_path,
               offsettimes_max=6
               )

    return


now_timestamp = baseclass.get_current_timestamp()

startrange = now_timestamp - 17*24*3600
# startrange = now_timestamp - 2*24*3600

endrange = now_timestamp+2*24*3600
print(f"startrang= {startrange} endrange= {endrange}")

df = pd.read_csv(baseclass.dalao_merge_path /
                 "filter_dalao.csv", dtype=object)

arr_str_dalao = df["dalaoAddress"].tolist()
print('token_contracts_list', len(arr_str_dalao))


get_3trans_byScan(address_list=arr_str_dalao,
                  write_tokens_path=baseclass.dalao_transfer_solanafm_path
                  )


print(f"startrang= {startrange} endrange= {endrange}")
print(f"{'{:<6}'.format('END')} {baseclass.scriptfilename} ----------------NOTE-----------NOTE---------------")