Administrator
2024-03-22 3188666e40694641e954f3334a28e3bee8cc4b17
third_data/data_server.py
@@ -304,6 +304,7 @@
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict['code']
            name = ps_dict.get('name')
            date = ps_dict.get('date')
            try:
                data = code_info_output.get_output_params(code, self.__jingxuan_cache_dict, self.__industry_cache_dict)
                if data["code_name"].find("None") > -1 and name:
@@ -319,7 +320,16 @@
                logger_debug.exception(e)
                logging.exception(e)
            # 获取评分信息
        elif url.path == "/get_trade_records":
            # 获取挂撤信息
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict['code']
            date = ps_dict.get('date')
            local_today_datas = log_export.load_l2_from_log(date)
            total_datas = local_today_datas.get(code)
            trade_info = code_info_output.load_trade_record(code, total_datas, date)
            response_data = json.dumps({"code": 0, "data": {"open_limit_up": trade_info[0], "records": trade_info[2]}})
        elif url.path == "/get_l2_cant_buy_reasons":
            # 获取L2没买的原因
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
@@ -344,7 +354,14 @@
                # 获取L2的数据
                ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
                code = ps_dict['code']
                datas = data_export_util.get_l2_datas(code, l2_data_util.local_today_datas.get(code))
                date = ps_dict.get('date')
                logger_debug.info(f"get_l2_datas:{code}  {date}")
                total_datas = l2_data_util.local_today_datas.get(code)
                if date:
                    total_datas = None
                else:
                    date = tool.get_now_date_str()
                datas = data_export_util.get_l2_datas(code, total_datas, date=date)
                code_name = gpcode_manager.get_code_name(code)
                response_data = json.dumps({"code": 0, "data": {"code": code, "code_name": code_name, "data": datas}})
            except Exception as e:
@@ -360,10 +377,13 @@
            # 最新的l撤数据
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict['code']
            date = ps_dict.get('date')
            if not date:
                date = tool.get_now_date_str()
            buy_single_index = ps_dict.get('buy_single_index')
            if buy_single_index is not None:
                buy_single_index = int(buy_single_index)
            records = code_info_output.load_trade_record_cancel_watch_indexes(code)
            records = code_info_output.load_trade_record_cancel_watch_indexes(code, date=date)
            # 获取最新的L上与L下
            records.reverse()
            up_indexes = []
@@ -495,6 +515,36 @@
                    code_info[5] = 1
            response_data = json.dumps({"code": 0, "data": codes_info})
        elif url.path == "/kpl/get_open_limit_up_count_rank":
            # 获取炸板次数排行
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict.get("code")
            results = log_export.load_kpl_open_limit_up()
            statistic = {}
            for result in results:
                for c in result[1]:
                    if not tool.is_shsz_code(c):
                        continue
                    if code and code != c:
                        continue
                    if c not in statistic:
                        statistic[c] = 0
                    statistic[c] += 1
            # 倒序排
            statistic_list = [(k, statistic[k]) for k in statistic]
            statistic_list.sort(key=lambda x: x[1], reverse=True)
            fresults = []
            limit_up_records = KPLLimitUpDataRecordManager.list_all_cache(tool.get_now_date_str())
            limit_up_count_dict = {}
            if limit_up_records:
                for d in limit_up_records:
                    limit_up_count_dict[d[3]] = d[12]
            for x in statistic_list:
                fresults.append((x[0], gpcode_manager.get_code_name(x[0]), x[1],limit_up_count_dict.get(x[0])))
            fresults = fresults[:30]
            response_data = json.dumps({"code": 0, "data": fresults})
        elif url.path == "/get_h_cancel_data":
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict["code"]
@@ -803,25 +853,8 @@
if __name__ == "__main__":
    code = "002676"
    buy_single_index = 716
    records = code_info_output.load_trade_record_cancel_watch_indexes(code)
    # 获取最新的L上与L下
    records.reverse()
    up_indexes = []
    down_indexes = []
    for r in records:
        if buy_single_index and buy_single_index != r[1]:
            continue
        if r[0] == trade_record_log_util.CancelWatchIndexesInfo.CANCEL_TYPE_L_UP:
            up_indexes = r[2]
            break
    for r in records:
        if buy_single_index and buy_single_index != r[1]:
            continue
        if r[0] == trade_record_log_util.CancelWatchIndexesInfo.CANCEL_TYPE_L_DOWN:
            down_indexes = r[2]
            break
    code = "600822"
    records = code_info_output.load_trade_record_cancel_watch_indexes(code, date="2024-03-12")
    response_data = json.dumps(
        {"code": 0, "data": {"up": up_indexes, "down": down_indexes}})
    # data = code_info_output.get_output_params(code, self.__jingxuan_cache_dict, self.__industry_cache_dict,
    #                                           trade_record_date=date)