def build_score_dict(jsonlistfile):
score_dict = {}
json_list = open(jsonlistfile).readlines()
for line in json_list:
fields = line.strip().split("/")
text_id = "_".join(fields[-4:-2])
time_stamp = fields[-2][-8:]
if (not score_dict.has_key(text_id)):
score_dict[text_id] = {}
json_items = open(line.strip()).readlines()
for json_item in json_items:
json_entity = json.loads(json_item.strip())
if json_entity.has_key("AudioName"):
audio_id = str(json_entity["AudioName"])
elif json_entity.has_key("audioName"):
audio_id = str(json_entity["audioName"])
else:
log.Error("bad json file:%s" % json_item)
if json_entity.has_key("Score"):
score = float(json_entity["Score"])
elif json_entity.has_key("score"):
score = float(json_entity["score"])
else:
log.Error("bad json file:%s" % json_item)
score_id = time_stamp + "_" + audio_id
if score_dict[text_id].has_key(score_id):
log.Error("repeated score_id: %s for text_id: %s" %
(score_id, text_id))
score_dict[text_id][score_id] = score
return score_dict
def _send(self):
try:
message = self._MakeMessage()
smtpObj = self.m_parent.Login()
smtpObj.sendmail(self.m_sender, self.m_receive, message.as_string())
smtpObj.quit()
except smtplib.SMTPException as e:
log.Error("send mail false", e)
return False
except BaseException as e:
log.Error("sned mail false by other reason",e)
return False
return True
def get_community_info(cityName, keyword, filter_word=None):
'''
cityName: 城市
keyword: 小区名
filter_word 过滤关键字， 对region进行匹配
@return
返回小区列表
'''
global g_session
data = {
"cityName": cityName,
"channel": "xiaoqu",
"keyword": keyword,
"query": keyword,
}
url = url_encode("https://ajax.api.ke.com/sug/headerSearch", data)
result, _ = get_url(url, session=g_session)
result_list = {}
if is_not_ok(result):
log.Error("get_community_info url false", cityName, keyword,
result.status_code)
return
result_data = js2py_val(result.content)
if result_data["errno"] != 0:
log.Error("get_community_info not ok", cityName, keyword, keyword)
return result_list
if len(result_data["data"]) == 0:
log.Waring("get_community_info data is nil", cityName, result)
return result_list
for data in result_data["data"]["result"]:
if filter_word and not filter_word in data["region"]:
log.Info("get_community_info ingore by filter_word", cityName,
keyword, data)
continue
new_data = {
"city": cityName,
"name": data["text"],
"id": data["id"],
"region": data["region"],
"house_url_list": [],
"house_data": {},
}
new_data["house_url_list"] = get_house_list(data["id"])
result_list[new_data["id"]] = new_data
return result_list
def set_wav(wav_dict, score_dict):
for text_id in wav_dict.keys():
if not score_dict.has_key(text_id):
log.Error("we don't have audio for the text_id:%s"%text_id)
for wav_id, score in score_dict[text_id].items():
wav_dict[text_id].setWavList(wav_id, score)
def validatePhonePosition(self):
for i in range(len(self.phone_position)):
if self.phone_position[i][0] > self.phone_position[i][1]:
log.Error("phone position error")
elif self.phone_position[i][0] == self.phone_position[i][1]:
log.Warn("this phone only has one frame: " + self.__file_id +
" " + str(self.phone_position))
def GetPlatform():
"""Return string describing current OS platform."""
if bool(platform.mac_ver()[0]):
return PLATFORM_OSX
elif bool(platform.dist()[0]):
return PLATFORM_LINUX
log.Error('Error: Unknown platform type: %s' % type)
return PLATFORM_DEFAULT
def set_wav(wav_dict, score_dict, exclude_dict):
for text_id in wav_dict.keys():
if (not score_dict.has_key(text_id)) or (len(exclude_dict[text_id])
== len(score_dict[text_id])):
log.Error("we don't have audio for the text_id:%s" % text_id)
for wav_id, score in score_dict[text_id].items():
if not wav_id in exclude_dict[text_id]:
wav_dict[text_id].setWavList(wav_id, score)
def innetProduct_dot(matrix_a, matrix_b):
height1 = matrix_a.shape[0]
height2 = matrix_b.shape[0]
distance_matrix = []
if height1 != height2:
log.Error("the lenght of two matrixes are not same")
for i in range(height1):
distance_matrix.append(np.dot(matrix_a[i, :], matrix_b[i, :]))
return np.array(distance_matrix)
def getWav1(self, lowscore, highscore, num):
if (self.__wav_list == None):
log.Error("wav-score list is null")
wav_id_list = []
i = 0
while len(wav_id_list) < num:
wav_id_list = []
for (wav_id, score) in self.__wav_list.items():
if (score > lowscore and score < highscore):
wav_id_list.append(wav_id)
lowscore -= 2
highscore += 2
i += 1
if i > 1:
log.Log("retry %d times for sentence %s" % (i - 1, self.__text_id))
if len(wav_id_list) < num:
log.Error(
"not enough wav file meet the requirment of score, has: %d, require: %d"
% (len(wav_id_list), num))
return random.sample(wav_id_list, num)
def RunTask(self):
rm_task = []
for taskobj in self.m_task:
if not taskobj.CanRun():
continue
taskobj.Run()
if taskobj.IsOver():
log.Error("task over", taskobj)
rm_task.append(taskobj)
for taskobj in rm_task:
self.m_task.remove(taskobj)
def getSamplingFunction(self, sampling_type):
sampling_type_enum = {
"median": self.medianSampling,
"mean": self.meanSampling,
"lastframe": self.lastframeSampling,
"uniform": self.uniformSampling,
"uniform_mean": self.uniformMeanSampling
}
if sampling_type_enum.has_key(sampling_type):
return sampling_type_enum[sampling_type]
else:
log.Error("No such kind of sampling function")
def getWav2(self, lowscore, highscore):
if (self.__wav_list == None):
log.Error("wav-score list is null")
wav_id_list = []
for (wav_id, score) in self.__wav_list.items():
if (score > lowscore and score < highscore):
wav_id_list.append(wav_id)
if len(wav_id_list) < 300:
log.Warn(
"not enough wav file meet the requirment of score, has: %d, require: %d"
% (len(wav_id_list), 300))
return wav_id_list
def Run(self):
try:
self.m_trigger.Trigger()
self.m_func(self, *self.m_args)
except BaseException as error:
self.m_status = CTask.__Over
logging.exception(error)
log.Error("run task fail", str(self))
else:
if self.IsRunOnce():
self.m_status = CTask.__Over
elif self.IsRunForver():
self.m_status = CTask.__None
def KLdivergence_dot(matrix_a, matrix_b, symmetrized=1):
height1 = matrix_a.shape[0]
height2 = matrix_b.shape[0]
distance_matrix = []
if height1 != height2:
log.Error("the lenght of two matrixes are not same")
matrix_a_log = np.log(matrix_a)
matrix_b_log = np.log(matrix_b)
for i in range(height1):
res1 = np.dot(matrix_a[i, :], matrix_a_log[i, :]) - np.dot(matrix_a[i, :], matrix_b_log[i, :])
if (symmetrized):
res2 = np.dot(matrix_b[i, :], matrix_b_log[i, :]) - np.dot(matrix_b[i, :], matrix_a_log[i, :])
distance_matrix.append(0.5 * (res1 + res2))
else:
distance_matrix.append(res1)
return np.array(distance_matrix)
def MakeArgumentList(args):
if args is None:
arg_list = []
elif isinstance(args, str):
arg_list = [args]
else:
assert isinstance(args, list)
arg_list = args
filtered = []
for idx in range(len(arg_list)):
if isinstance(arg_list[idx], str):
filtered.append(arg_list[idx])
elif isinstance(arg_list[idx], tuple):
value, allowed_platform = arg_list[idx]
if IsPlatform(allowed_platform):
filtered.append(value)
else:
log.Error('Unknown argument type')
return filtered
def thread_spike_fund(threadobj, *fund_list):
ok = 0
err = 0
i=0
l = len(fund_list)
fund_yeild = {}
stock_total = {}
for code in fund_list:
i+=1
if i%50 == 0:
log.Info("thread_spike_fund",threadobj.getName(),i,l-i)
try:
data = fund_api.spiker_fund_and_save(code)
base_data = data["base"]
if not base_data["type"] in __filter_stop_type:
continue
if not tools.is_float(base_data["new_worth_ratio"]):
continue
for k,v in base_data["stock"].items():
if not k in stock_total:
stock_total[k] = 0
stock_total[k]+=1
fund_yeild[code] = {
"now": base_data["new_worth_ratio"],
"history":data["data"]["yield"],
"name": data["name"]
}
ok+=1
except BaseException as error:
log.Error("spiker fund false", threadobj.getName(), code, error)
err+=1
continue
return {
"ok":ok,
"error":err,
"data":{
"stock":stock_total,
"yeild":fund_yeild,
},
}
def get_house_info(url, house_data):
def get_total(data, htree):
ls = htree.xpath(
'.//div[@class="overview"]//span[@class="total"]/text()')
if len(ls) == 0 or not tools.is_float(ls[0]):
log.Waring("get_house_info -> get_total false")
return
data["价格"] = tools.tofloat(ls[0])
def get_info(data, htree):
#基本属性
def get_info2(key):
parttern = './div[@data-component="baseinfo"]//div[@class="introContent"]//div[@class="%s"]//ul//li' % (
key)
ls = htree.xpath(parttern)
if len(ls) == 0:
log.Waring("get_house_info -> get_info -> get_info2 false",
key)
return
d = {}
for li in ls:
ls1 = li.xpath('./span/text()')
if len(ls1) > 1 and trim_str(ls1[0]) == "抵押信息": #特殊处理该处信息
ls2 = ls1[1:]
else:
if key == "transaction": #交易属性
ls2 = li.xpath('.//a/text()')
else:
ls2 = li.xpath('./text()')
if len(ls1) == 0 or len(ls2) == 0:
log.Waring("get_house_info -> get_info base false", ls1,
ls2)
continue
k = trim_str(ls1[0])
v = trim_str(ls2[0])
if k == "建筑面积" or k == "套内面积":
v = tools.tofloat(v.replace("㎡", ""), 5)
data[k] = v
#data[key] = d
get_info2("base")
get_info2("transaction")
if "价格" in data and "建筑面积" in data:
data["均价"] = tools.tofloat(
float(data["价格"]) / float(data["建筑面积"]), 5)
r = re.match(__pHouseID, url)
if not r:
log.Error("get_house_info no hid", url)
return None
house_info = {
"id": r.groups()[0],
}
result, _ = get_url(url, session=g_session)
if result.status_code != 200:
log.Waring("request house url false", url)
return None
htree = etree.HTML(result.text)
ls = htree.xpath(
'//div[@class="sellDetailPage"]//div[@data-component="overviewIntro"]')
if len(ls) > 0:
get_total(house_info, ls[0])
ls = htree.xpath(
'//div[@class="sellDetailPage"]//div[@class="m-content"]//div[@class="box-l"]'
)
if len(ls) > 0:
get_info(house_info, ls[0])
house_data[house_info["id"]] = house_info