Files
MoFin/venv/lib/python3.12/site-packages/baostock/data/resultset.py
T
知微 fa45d8aa5f fix: 小果地址统一node122(兼容LAN+EasyTier)
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
  Privoxy对node122:18003返回500,直连正常
2026-06-30 02:56:35 +08:00

196 lines
7.0 KiB
Python

# -*- coding:utf-8 -*-
"""
返回数据接口
@author: baostock.com
@group : baostock.com
@contact: baostock@163.com
"""
import baostock.common.contants as cons
import pandas as pd
import json
import zlib
import baostock.data.messageheader as msgheader
import baostock.util.socketutil as sock
class ResultData(object):
def __init__(self):
"""初始化方法"""
# 消息头
self.version = cons.BAOSTOCK_CLIENT_VERSION
self.msg_type = 0 # 消息类型
self.msg_body_length = 0
# 消息体
self.method = "" # 方法名
self.user_id = "" # 用户账号
self.error_code = cons.BSERR_NO_LOGIN # 错误代码
self.error_msg = "" # 错误代码
self.cur_page_num = 1 # 当前页码
self.per_page_count = cons.BAOSTOCK_PER_PAGE_COUNT # 当前页条数
self.cur_row_num = 0 # 当前页面遍历条数 V0.5.5
self.code = "" # 股票代码
self.code_name = "" # 股票名称
self.fields = [] # 指示简称 list
self.start_date = "" # 开始日期
self.end_date = "" # 结束日期
self.frequency = "" # 数据类型
self.adjustflag = "" # 复权类型
self.data = [] # 数据值 list类型
self.msg_body = "" # 消息体
self.year = "" # 年份
self.yearType = "" # 年份类别
self.quarter = "" # 季度
self.day = "" # 天
self.date = "" #查询日期
# self.request_id = 0
# self.serial_id = 0
def next(self):
""" 判断是否还有后续数据
:return: 有数据时返回True,当前页没有数据时向服务器请求下一页;没有数据时返回False
"""
if len(self.data) == 0:
return False
if self.cur_row_num < len(self.data):
# 当前页还有数据
return True
else:
# 当前页获取的总记录数不足cons.BAOSTOCK_PER_PAGE_COUNT时,不请求下一页
if len(self.data) < cons.BAOSTOCK_PER_PAGE_COUNT:
return False
# 当前页没有数据,取下一页数据
msg_body_split = self.msg_body.split(cons.MESSAGE_SPLIT)
if self.cur_page_num.isdigit():
next_page = int(self.cur_page_num) + 1
msg_body_split[2] = str(next_page)
else:
print("当前页面编号不正确,请检查后再试")
return False
msg_body = cons.MESSAGE_SPLIT.join(msg_body_split)
msg_header = msgheader.to_message_header(
self.msg_type, len(msg_body))
head_body = msg_header + msg_body
crc32str = zlib.crc32(bytes(head_body, encoding='utf-8'))
receive_data = sock.send_msg(
head_body + cons.MESSAGE_SPLIT + str(crc32str))
if receive_data is None or receive_data.strip() == "":
return False
msg_header = receive_data[0:cons.MESSAGE_HEADER_LENGTH]
msg_body = receive_data[cons.MESSAGE_HEADER_LENGTH:-1]
header_arr = msg_header.split(cons.MESSAGE_SPLIT)
body_arr = msg_body.split(cons.MESSAGE_SPLIT)
# data.version = header_arr[0]
# self.msg_type = header_arr[1]
self.msg_body_length = header_arr[2]
self.error_code = body_arr[0]
self.error_msg = body_arr[1]
if cons.BSERR_SUCCESS == self.error_code:
self.method = body_arr[2]
self.user_id = body_arr[3]
self.cur_page_num = body_arr[4]
self.per_page_count = body_arr[5]
self.setData(body_arr[6])
self.cur_row_num = 0
if len(self.data) == 0:
return False
else:
return True
else:
return False
def get_row_data(self):
"""返回当前获取的结果的某一行
@return: 返回当前行数据
"""
# 组织返回数据
return_data = []
if self.cur_row_num < len(self.data):
return_data = self.data[self.cur_row_num]
self.cur_row_num = self.cur_row_num + 1
return return_data
def get_data(self):
"""返回当前获取的全部结果
@return:DataFrame类型
"""
if len(self.data) == 0:
return pd.DataFrame()
else:
# 组织返回数据
df = pd.DataFrame(self.data, columns=self.fields)
self.cur_row_num = len(self.data)
while (self.error_code == '0') & self.next():
# 获取一条记录,将记录合并在一起
temp_df = pd.DataFrame(self.data, columns=self.fields)
df = df.append(temp_df, ignore_index=True)
self.cur_row_num = len(self.data)
return df
def setData(self, receive_data):
"""对返回数据进行处理,将string转为list类型
@return: 返回处理后的list类型数据
"""
if receive_data.strip() != "":
# 先将数据分割,再进行合并,为了防止数据中间有换行等空字符,导致json.loads报错
receive_array = receive_data.split()
js_data = json.loads("".join(receive_array)) # dict
self.data = js_data['record'] # list
else:
self.data = []
def setFields(self, receive_fields):
"""对返回数据的指标参数进行处理,将string中的空格去除
@return: 返回去除空格后的指标参数
"""
field_arr = receive_fields.split(cons.ATTRIBUTE_SPLIT)
i = 0
while i < len(field_arr):
# 去除空格
field_arr[i] = field_arr[i].strip()
i += 1
self.fields = field_arr
class SubscibeData(object):
def __init__(self):
"""实时数据初始化方法"""
# 消息头
self.version = cons.BAOSTOCK_CLIENT_VERSION
self.msg_type = 0 # 消息类型
self.msg_body_length = 0
# 消息体
self.method = "" # 方法名
self.user_id = "" # 用户账号
self.error_code = cons.BSERR_NO_LOGIN # 错误代码
self.error_msg = "" # 错误代码
self.msg_body = "" # 消息体
self.serial_id = None
self.subscribe_type = 0 # 订阅方式 0:按证券代码订阅, 1:按行情数据类型订阅
self.code_list = "" # 证券代码,每只证券代码之间用“英文逗号分隔符”
self.fncallback = None # 自定义回调方法
self.options = "" # 预留参数
self.user_params = None # 用户参数,回调时原样返回
self.data = {} # 返回数据类型为字典,以证券代码为key,value为列表保存各项值