def __init__(self, dbinfo = ct.DB_INFO, redis_host = None):
self.dbinfo = dbinfo
self.logger = getLogger(__name__)
self.tu_client = get_tushare_client()
self.doc = CDoc()
self.redis = create_redis_obj() if redis_host is None else create_redis_obj(redis_host)
self.mysql_client = CMySQL(dbinfo, iredis = self.redis)
self.margin_client = Margin(dbinfo = dbinfo, redis_host = redis_host)
self.rstock_client = RIndexStock(dbinfo = dbinfo, redis_host = redis_host)
self.sh_market_client = StockExchange(ct.SH_MARKET_SYMBOL)
self.sz_market_client = StockExchange(ct.SZ_MARKET_SYMBOL)
self.emotion_client = Emotion()
self.bullration_client = CBullRation(dbinfo, redis_host)
class CReivew:
def __init__(self, dbinfo = ct.DB_INFO, redis_host = None):
self.dbinfo = dbinfo
self.logger = getLogger(__name__)
self.tu_client = get_tushare_client()
self.doc = CDoc()
self.redis = create_redis_obj() if redis_host is None else create_redis_obj(redis_host)
self.mysql_client = CMySQL(dbinfo, iredis = self.redis)
self.margin_client = Margin(dbinfo = dbinfo, redis_host = redis_host)
self.rstock_client = RIndexStock(dbinfo = dbinfo, redis_host = redis_host)
self.sh_market_client = StockExchange(ct.SH_MARKET_SYMBOL)
self.sz_market_client = StockExchange(ct.SZ_MARKET_SYMBOL)
self.emotion_client = Emotion()
self.bullration_client = CBullRation(dbinfo, redis_host)
def get_industry_data(self, cdate):
ri = RIndexIndustryInfo()
df = ri.get_k_data(cdate)
if df.empty: return df
df = df.reset_index(drop = True)
df = df.sort_values(by = 'amount', ascending= False)
df['money_change'] = (df['amount'] - df['preamount'])/1e8
industry_info = IndustryInfo.get()
df = pd.merge(df, industry_info, how='left', on=['code'])
return df
def get_index_data(self, cdate):
df = pd.DataFrame()
for code, name in ct.TDX_INDEX_DICT.items():
data = CIndex(code).get_k_data(cdate)
data['name'] = name
data['code'] = code
df = df.append(data)
df = df.reset_index(drop = True)
return df
def get_market_data(self, market, start_date, end_date):
if market == ct.SH_MARKET_SYMBOL:
df = self.sh_market_client.get_k_data_in_range(start_date, end_date)
df = df.loc[df.name == '上海市场']
else:
df = self.sz_market_client.get_k_data_in_range(start_date, end_date)
df = df.loc[df.name == '深圳市场']
df = df.round(2)
df = df.drop_duplicates()
df = df.reset_index(drop = True)
df = df.sort_values(by = 'date', ascending= True)
df.negotiable_value = (df.negotiable_value / 2).astype(int)
return df
def get_rzrq_info(self, market, start_date, end_date):
df = self.margin_client.get_k_data_in_range(start_date, end_date)
if market == ct.SH_MARKET_SYMBOL:
df = df.loc[df.code == 'SSE']
df['code'] = '上海市场'
else:
df = df.loc[df.code == 'SZSE']
df['code'] = '深圳市场'
df = df.round(2)
df['rzye'] = df['rzye']/1e+8
df['rzmre'] = df['rzmre']/1e+8
df['rzche'] = df['rzche']/1e+8
df['rqye'] = df['rqye']/1e+8
df['rzrqye'] = df['rzrqye']/1e+8
df = df.drop_duplicates()
df = df.reset_index(drop = True)
df = df.sort_values(by = 'date', ascending= True)
return df
def get_index_df(self, code, start_date, end_date):
cindex_client = CIndex(code)
df = cindex_client.get_k_data_in_range(start_date, end_date)
df['time'] = df.index.tolist()
df = df[['time', 'open', 'high', 'low', 'close', 'volume', 'amount', 'date']]
return df
def update(self, cdate = datetime.now().strftime('%Y-%m-%d')):
start_date = get_day_nday_ago(cdate, 200, dformat = "%Y-%m-%d")
end_date = cdate
try:
self.doc.move_old_files()
#market info
sh_df = self.get_market_data(ct.SH_MARKET_SYMBOL, start_date, end_date)
sz_df = self.get_market_data(ct.SZ_MARKET_SYMBOL, start_date, end_date)
date_list = list(set(sh_df.date.tolist()).intersection(set(sz_df.date.tolist())))
sh_df = sh_df[sh_df.date.isin(date_list)]
sh_df = sh_df.reset_index(drop = True)
sz_df = sz_df[sz_df.date.isin(date_list)]
sz_df = sz_df.reset_index(drop = True)
#rzrq info
sh_rzrq_df = self.get_rzrq_info(ct.SH_MARKET_SYMBOL, start_date, end_date)
sz_rzrq_df = self.get_rzrq_info(ct.SZ_MARKET_SYMBOL, start_date, end_date)
date_list = list(set(sh_rzrq_df.date.tolist()).intersection(set(sz_rzrq_df.date.tolist())))
sh_rzrq_df = sh_rzrq_df[sh_rzrq_df.date.isin(date_list)]
sh_rzrq_df = sh_rzrq_df.reset_index(drop = True)
sz_rzrq_df = sz_rzrq_df[sz_rzrq_df.date.isin(date_list)]
sz_rzrq_df = sz_rzrq_df.reset_index(drop = True)
#average price info
av_df = self.get_index_df('880003', start_date, end_date)
#limit up and down info
limit_info = CLimit(self.dbinfo).get_data(cdate)
stock_info = self.rstock_client.get_data(cdate)
stock_info = stock_info[stock_info.volume > 0] #get volume > 0 stock list
stock_info = stock_info.reset_index(drop = True)
#index info
index_info = self.get_index_data(end_date)
#industry analysis
industry_info = self.get_industry_data(cdate)
#all stock info
all_stock_info = self.rstock_client.get_k_data_in_range(start_date, end_date)
#get bull ration data
bull_ration_df = self.bullration_client.get_bull_ratios('000001', start_date, end_date)
#gen review file and make dir for new data
self.doc.generate(cdate, sh_df, sz_df, sh_rzrq_df, sz_rzrq_df, av_df, limit_info,
stock_info, industry_info, index_info, all_stock_info, bull_ration_df)
##gen review animation
#self.gen_animation()
return True
except Exception as e:
traceback.print_exc()
self.logger.error(e)
return False
def gen_animation(self, sfile = None):
import matplotlib.animation as animation
style.use('fivethirtyeight')
Writer = animation.writers['ffmpeg']
writer = Writer(fps=1, metadata=dict(artist='biek'), bitrate=1800)
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
_today = datetime.now().strftime('%Y-%m-%d')
cdata = self.mysql_client.get('select * from %s where date = "%s"' % (ct.ANIMATION_INFO, _today))
if cdata is None: return None
cdata = cdata.reset_index(drop = True)
ctime_list = cdata.time.unique()
name_list = cdata.name.unique()
ctime_list = [datetime.strptime(ctime,'%H:%M:%S') for ctime in ctime_list]
frame_num = len(ctime_list)
if 0 == frame_num: return None
def animate(i):
ax.clear()
ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
ax.xaxis.set_major_locator(mdates.DayLocator())
ax.set_title('盯盘', fontproperties = get_chinese_font())
ax.set_xlabel('时间', fontproperties = get_chinese_font())
ax.set_ylabel('增长', fontproperties = get_chinese_font())
ax.set_ylim((-6, 6))
fig.autofmt_xdate()
for name in name_list:
pchange_list = list()
price_list = cdata[cdata.name == name]['price'].tolist()
pchange_list.append(0)
for _index in range(1, len(price_list)):
pchange_list.append(10 * (price_list[_index] - price_list[_index - 1])/price_list[0])
ax.plot(ctime_list[0:i], pchange_list[0:i], label = name, linewidth = 1.5)
if pchange_list[i-1] > 1 or pchange_list[i-1] < -1:
ax.text(ctime_list[i-1], pchange_list[i-1], name, font_properties = get_chinese_font())
ani = animation.FuncAnimation(fig, animate, frame_num, interval = 60000, repeat = False)
sfile = '/data/animation/%s_animation.mp4' % _today if sfile is None else sfile
ani.save(sfile, writer)
plt.close(fig)