# Path: fooltrader/api/technical.py
# def get_security_list(security_type='stock', exchanges=None, start_code=None, end_code=None,
#                       mode='simple', start_list_date=None, codes=None):
#     """
#     get security list.
# 
#     Parameters
#     ----------
#     security_type : str
#         {‘stock’, 'future'},default: stock
#     exchanges : str or list
#         ['sh', 'sz','nasdaq','nyse','amex','shfe','dce','zce'],default: ['sh','sz']
#     start_code : str
#         the start code,work with end,default:None
#         if using codes,it would be ignored
#     end_code : str
#         the end code,works with start,default:None
#         if using codes,it would be ignored
#     mode : str
#         whether parse more security info,{'simple','es'},default:'simple'
#     start_list_date : Timestamp str or Timestamp
#         the filter for start list date,default:None
#     codes : list
#         the exact codes to query,default:None
# 
#     Returns
#     -------
#     DataFrame
#         the security list
# 
#     """
#     df = pd.DataFrame()
#     if type(exchanges) == str:
#         exchanges = [exchanges]
# 
#     if not exchanges:
#         exchanges = SECURITY_TYPE_MAP_EXCHANGES[security_type]
# 
#     if security_type == 'index':
#         df = df.append(pd.DataFrame(CHINA_STOCK_SH_INDEX), ignore_index=True)
#         df = df.append(pd.DataFrame(CHINA_STOCK_SZ_INDEX), ignore_index=True)
#         df = df.append(pd.DataFrame(USA_STOCK_NASDAQ_INDEX), ignore_index=True)
#     else:
#         for exchange in exchanges:
#             the_path = get_security_list_path(security_type, exchange)
#             if os.path.exists(the_path):
#                 converters = None
# 
#                 if mode == 'es' and security_type == 'stock':
#                     converters = {'code': str,
#                                   'sinaIndustry': convert_to_list_if_need,
#                                   'sinaConcept': convert_to_list_if_need,
#                                   'sinaArea': convert_to_list_if_need}
#                 if converters:
#                     df = df.append(pd.read_csv(the_path, converters=converters), ignore_index=True)
#                 else:
#                     df = df.append(pd.read_csv(the_path, dtype=str), ignore_index=True)
# 
#     if not df.empty > 0:
#         df = df_for_date_range(df, start_date=start_list_date)
# 
#         df = df.set_index(df['code'], drop=False)
#         df = df.sort_index()
# 
#         if codes:
#             df = df[df["code"].isin(codes)]
#         elif start_code and end_code:
#             df = df[(df["code"] >= start_code) & (df["code"] <= end_code)]
# 
#         if security_type != 'cryptocurrency':
#             df = df.drop_duplicates(subset='code', keep='last')
# 
#     return df
# 
# Path: fooltrader/contract/files_contract.py
# def get_security_list_path(security_type, exchange):
#     return os.path.join(settings.FOOLTRADER_STORE_PATH, security_type, '{}.csv'.format(exchange))
# 
# Path: fooltrader/utils/utils.py
# def get_exchange(code):
#     if code >= '333333':
#         return 'sh'
#     else:
#         return 'sz'


import json
import threading
import demjson
import scrapy
from scrapy import Request
from scrapy import signals
from fooltrader.api.technical import get_security_list
from fooltrader.contract.files_contract import get_security_list_path
from fooltrader.utils.utils import get_exchange
        elif self.category_type == 'sinaArea':
            url = 'http://money.finance.sina.com.cn/q/view/newFLJK.php?param=area'
        else:
            return

        yield Request(
            url=url,
            callback=self.download_sina_category)

    def download_sina_category(self, response):
        tmp_str = response.body.decode('GBK')
        json_str = tmp_str[tmp_str.index('{'):tmp_str.index('}') + 1]
        tmp_json = json.loads(json_str)
        for ind_code in tmp_json:
            for page in range(1, 4):
                yield Request(
                    url='http://vip.stock.finance.sina.com.cn/quotes_service/api/json_v2.php/Market_Center.getHQNodeData?page={}&num=1024&sort=symbol&asc=1&node={}&symbol=&_s_r_a=page'.format(
                        page, ind_code),
                    meta={'ind_code': ind_code,
                          'ind_name': tmp_json[ind_code].split(',')[1]},
                    callback=self.download_sina_category_detail)

    def download_sina_category_detail(self, response):
        if response.text == 'null' or response.text is None:
            return
        category_jsons = demjson.decode(response.text)
        for category in category_jsons:
            self.file_lock.acquire()
            if get_exchange(category['code']) == 'sh':
                df = self.sh_df

# Path: fooltrader/api/technical.py
# def get_security_list(security_type='stock', exchanges=None, start_code=None, end_code=None,
#                       mode='simple', start_list_date=None, codes=None):
#     """
#     get security list.
# 
#     Parameters
#     ----------
#     security_type : str
#         {‘stock’, 'future'},default: stock
#     exchanges : str or list
#         ['sh', 'sz','nasdaq','nyse','amex','shfe','dce','zce'],default: ['sh','sz']
#     start_code : str
#         the start code,work with end,default:None
#         if using codes,it would be ignored
#     end_code : str
#         the end code,works with start,default:None
#         if using codes,it would be ignored
#     mode : str
#         whether parse more security info,{'simple','es'},default:'simple'
#     start_list_date : Timestamp str or Timestamp
#         the filter for start list date,default:None
#     codes : list
#         the exact codes to query,default:None
# 
#     Returns
#     -------
#     DataFrame
#         the security list
# 
#     """
#     df = pd.DataFrame()
#     if type(exchanges) == str:
#         exchanges = [exchanges]
# 
#     if not exchanges:
#         exchanges = SECURITY_TYPE_MAP_EXCHANGES[security_type]
# 
#     if security_type == 'index':
#         df = df.append(pd.DataFrame(CHINA_STOCK_SH_INDEX), ignore_index=True)
#         df = df.append(pd.DataFrame(CHINA_STOCK_SZ_INDEX), ignore_index=True)
#         df = df.append(pd.DataFrame(USA_STOCK_NASDAQ_INDEX), ignore_index=True)
#     else:
#         for exchange in exchanges:
#             the_path = get_security_list_path(security_type, exchange)
#             if os.path.exists(the_path):
#                 converters = None
# 
#                 if mode == 'es' and security_type == 'stock':
#                     converters = {'code': str,
#                                   'sinaIndustry': convert_to_list_if_need,
#                                   'sinaConcept': convert_to_list_if_need,
#                                   'sinaArea': convert_to_list_if_need}
#                 if converters:
#                     df = df.append(pd.read_csv(the_path, converters=converters), ignore_index=True)
#                 else:
#                     df = df.append(pd.read_csv(the_path, dtype=str), ignore_index=True)
# 
#     if not df.empty > 0:
#         df = df_for_date_range(df, start_date=start_list_date)
# 
#         df = df.set_index(df['code'], drop=False)
#         df = df.sort_index()
# 
#         if codes:
#             df = df[df["code"].isin(codes)]
#         elif start_code and end_code:
#             df = df[(df["code"] >= start_code) & (df["code"] <= end_code)]
# 
#         if security_type != 'cryptocurrency':
#             df = df.drop_duplicates(subset='code', keep='last')
# 
#     return df
# 
# Path: fooltrader/contract/files_contract.py
# def get_security_list_path(security_type, exchange):
#     return os.path.join(settings.FOOLTRADER_STORE_PATH, security_type, '{}.csv'.format(exchange))
# 
# Path: fooltrader/utils/utils.py
# def get_exchange(code):
#     if code >= '333333':
#         return 'sh'
#     else:
#         return 'sz'


# Path: fooltrader/spiders/chinastock/sina_category_spider.py
import json
import threading
import demjson
import scrapy
from scrapy import Request
from scrapy import signals
from fooltrader.api.technical import get_security_list
from fooltrader.contract.files_contract import get_security_list_path
from fooltrader.utils.utils import get_exchange

        elif self.category_type == 'sinaArea':
            url = 'http://money.finance.sina.com.cn/q/view/newFLJK.php?param=area'
        else:
            return

        yield Request(
            url=url,
            callback=self.download_sina_category)

    def download_sina_category(self, response):
        tmp_str = response.body.decode('GBK')
        json_str = tmp_str[tmp_str.index('{'):tmp_str.index('}') + 1]
        tmp_json = json.loads(json_str)
        for ind_code in tmp_json:
            for page in range(1, 4):
                yield Request(
                    url='http://vip.stock.finance.sina.com.cn/quotes_service/api/json_v2.php/Market_Center.getHQNodeData?page={}&num=1024&sort=symbol&asc=1&node={}&symbol=&_s_r_a=page'.format(
                        page, ind_code),
                    meta={'ind_code': ind_code,
                          'ind_name': tmp_json[ind_code].split(',')[1]},
                    callback=self.download_sina_category_detail)

    def download_sina_category_detail(self, response):
        if response.text == 'null' or response.text is None:
            return
        category_jsons = demjson.decode(response.text)
        for category in category_jsons:
            self.file_lock.acquire()
            if get_exchange(category['code']) == 'sh':
                df = self.sh_df

            elif get_exchange(category['code']) == 'sz':