本文整理汇总了Python中MOSES.getEfficiencyFor方法的典型用法代码示例。如果您正苦于以下问题：Python MOSES.getEfficiencyFor方法的具体用法？Python MOSES.getEfficiencyFor怎么用？Python MOSES.getEfficiencyFor使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类MOSES的用法示例。
在下文中一共展示了MOSES.getEfficiencyFor方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: computeProcessDates
# 需要导入模块: import MOSES [as 别名]
# 或者: from MOSES import getEfficiencyFor [as 别名]
def computeProcessDates(self):
#For each index:
for processing_date in self.process_dates:
processed_dates = self.getProcessedDates()
efficiency = None
cfm = None
gseo = None
fatals = None
status = None
relaxation = None
approval = None
stats = None
if self.canSkipThisDate(processing_date):
efficiency = self.result_dictionary[processing_date].get("Efficiency")
cfm = self.result_dictionary[processing_date].get("CFM")
gseo = self.result_dictionary[processing_date].get("GSEO")
fatals = self.result_dictionary[processing_date].get("Fatals")
status = self.result_dictionary[processing_date].get("Status")
relaxation = self.result_dictionary[processing_date].get("Relaxation")
approval = self.result_dictionary[processing_date].get("Approval")
if efficiency is None:
efficiency = MOSES.getEfficiencyFor(self.user_id, self.password, processing_date, category_tree=self.category_tree)
if (cfm is None) or (gseo is None) or (fatals is None):
cfm, gseo, fatals = MOSES.getCFMGSEOFor(self.user_id, self.password, processing_date)
if (status is None) or (relaxation is None) or (approval is None):
status, relaxation, approval = MOSES.checkWorkStatus(self.user_id, self.password, processing_date)
processing_dict_entry = {
processing_date:
{
"Efficiency": efficiency,
"Status":status,
"Relaxation": relaxation,
"Approval": approval,
"CFM": cfm,
"GSEO": gseo,
"Fatals": fatals,
}
}
self.result_dictionary.update(processing_dict_entry)
self.sendResultDictionary.emit(self.result_dictionary)
self.sendStatsAfterUpdatingIfNecessary()
#Flush the force_update list and the process_list.
for each_date in self.getProcessedDates():
if each_date in self.force_update_dates:
self.force_update_dates.remove(each_date)
if each_date in self.process_dates:
self.process_dates.remove(each_date)
self.process_dates.extend(list(reversed(sorted(set(self.queue)))))
#if len(self.process_dates)>0:
# print self.process_dates
self.queue = []示例2: updateResultsDictionaryForDate
# 需要导入模块: import MOSES [as 别名]
# 或者: from MOSES import getEfficiencyFor [as 别名]
def updateResultsDictionaryForDate(self, query_date):
previous_dictionary = self.result_dictionary.get(query_date)
efficiency = MOSES.getEfficiencyFor(self.user_id, self.password, query_date, category_tree=self.category_tree)
cfm, gseo, fatals = MOSES.getCFMGSEOFor(self.user_id, self.password, query_date)
updated_dict = {"Efficiency": efficiency, "CFM": cfm, "GSEO": gseo, "Fatals": fatals}
if previous_dictionary is not None:
previous_dictionary.update(updated_dict)
else:
self.result_dictionary[query_date] = updated_dict示例3: updateForDate
# 需要导入模块: import MOSES [as 别名]
# 或者: from MOSES import getEfficiencyFor [as 别名]
def updateForDate(self, queried_date):
efficiency = MOSES.getEfficiencyFor(self.user_id, self.password, queried_date, category_tree=self.category_tree)
cfm, gseo, fatals = MOSES.getCFMGSEOFor(self.user_id, self.password, queried_date)
status, relaxation, approval = MOSES.checkWorkStatus(self.user_id, self.password, queried_date)
processing_dict_entry = {
queried_date:
{
"Efficiency": efficiency,
"Status":status,
"Relaxation": relaxation,
"Approval": approval,
"CFM": cfm,
"GSEO": gseo,
"Fatals": fatals,
}
}
self.result_dictionary.update(processing_dict_entry)
self.sendResultDictionary.emit(self.result_dictionary)
if queried_date not in self.process_dates: self.queue.append(queried_date)
self.force_update_dates.append(queried_date)示例4: fetchWriterSummary
# 需要导入模块: import MOSES [as 别名]
# 或者: from MOSES import getEfficiencyFor [as 别名]
def fetchWriterSummary(self, retry=None):
if retry is not None:
print "Retrying to fetch the data. (trial#%d)" %retry
self.processingStep.emit("Getting article count for %s for %s." % (self.writer_name, self.end_date))
article_count = MOSES.getArticleCount(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting average article count for %s between %s and %s." % (self.writer_name, self.start_date, self.end_date))
a_article_count = MOSES.getArticleCountBetween(self.user_id, self.password, self.start_date, self.end_date, self.writer_id)
self.processingStep.emit("Getting weekly article count for %s for %s." % (self.writer_name, self.end_date))
w_article_count = MOSES.getArticleCountForWeek(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting monthly article count for %s for %s." % (self.writer_name, self.end_date))
m_article_count = MOSES.getArticleCountForMonth(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting quarterly article count for %s for %s." % (self.writer_name, self.end_date))
q_article_count = MOSES.getArticleCountForQuarter(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting quarterly article count for %s for %s." % (self.writer_name, self.end_date))
hy_article_count = MOSES.getArticleCountForHalfYear(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting efficiency for %s for %s." % (self.writer_name, self.end_date))
efficiency = MOSES.getEfficiencyFor(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting average efficiency for %s between %s and %s." % (self.writer_name, self.start_date, self.end_date))
a_efficiency = MOSES.getEfficiencyForDateRange(self.user_id, self.password, self.start_date, self.end_date, self.writer_id)
self.processingStep.emit("Getting weekly efficiency for %s for %s." % (self.writer_name, self.end_date))
w_efficiency = MOSES.getEfficiencyForWeek(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting monthly efficiency for %s for %s." % (self.writer_name, self.end_date))
m_efficiency = MOSES.getEfficiencyForMonth(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting quarterly efficiency for %s for %s." % (self.writer_name, self.end_date))
q_efficiency = MOSES.getEfficiencyForQuarter(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting half-yearly efficiency for %s for %s." % (self.writer_name, self.end_date))
hy_efficiency = MOSES.getEfficiencyForHalfYear(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting audit count for %s for %s." % (self.writer_name, self.end_date))
audit_count = MOSES.getAuditCount(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting average audit count for %s between %s and %s." % (self.writer_name, self.start_date, self.end_date))
a_audit_count = MOSES.getAuditCountBetween(self.user_id, self.password, self.start_date, self.end_date, self.writer_id)
self.processingStep.emit("Getting weekly audit count for %s for %s." % (self.writer_name, self.end_date))
w_audit_count = MOSES.getAuditCountForWeek(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting monthly audit count for %s for %s." % (self.writer_name, self.end_date))
m_audit_count = MOSES.getAuditCountForMonth(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting quarterly audit count for %s for %s." % (self.writer_name, self.end_date))
q_audit_count = MOSES.getAuditCountForQuarter(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting quarterly audit count for %s for %s." % (self.writer_name, self.end_date))
hy_audit_count = MOSES.getAuditCountForHalfYear(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting CFM for %s for %s." % (self.writer_name, self.end_date))
cfm = MOSES.getCFMFor(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting average CFM for %s between %s and %s." % (self.writer_name, self.start_date, self.end_date))
a_cfm = MOSES.getCFMBetweenDates(self.user_id, self.password, self.start_date, self.end_date, self.writer_id)
self.processingStep.emit("Getting weekly CFM for %s for %s." % (self.writer_name, self.end_date))
w_cfm = MOSES.getCFMForWeek(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting monthly CFM for %s for %s." % (self.writer_name, self.end_date))
m_cfm = MOSES.getCFMForMonth(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting quarterly CFM for %s for %s." % (self.writer_name, self.end_date))
q_cfm = MOSES.getCFMForQuarter(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting quarterly CFM for %s for %s." % (self.writer_name, self.end_date))
hy_cfm = MOSES.getCFMForHalfYear(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting GSEO for %s for %s." % (self.writer_name, self.end_date))
gseo = MOSES.getGSEOFor(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting GSEO for %s between %s and %s." % (self.writer_name, self.start_date, self.end_date))
a_gseo = MOSES.getGSEOBetweenDates(self.user_id, self.password, self.start_date, self.end_date, self.writer_id)
self.processingStep.emit("Getting weekly GSEO for %s for %s." % (self.writer_name, self.end_date))
w_gseo = MOSES.getGSEOForWeek(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting average GSEO for %s between %s and %s." % (self.writer_name, self.start_date, self.end_date))
m_gseo = MOSES.getGSEOForMonth(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting quarterly GSEO for %s for %s." % (self.writer_name, self.end_date))
q_gseo = MOSES.getGSEOForQuarter(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting half-yearly GSEO for %s for %s." % (self.writer_name, self.end_date))
hy_gseo = MOSES.getGSEOForHalfYear(self.user_id, self.password, self.end_date, self.writer_id)
self.processingStep.emit("Getting Team Leader Name for %s for %s." % (self.writer_name, self.end_date))
writer_tl = MOSES.getReportingManager(self.user_id, self.password, query_user=self.writer_id, query_date=self.end_date)["Reporting Manager Name"]
self.processingStep.emit("Getting Stack Rank Indices for %s for %s." % (self.writer_name, self.end_date))
stack_rank_index = self.getStackRankIndex(efficiency, cfm, gseo)
a_stack_rank_index = self.getStackRankIndex(a_efficiency, a_cfm, a_gseo)
w_stack_rank_index = self.getStackRankIndex(w_efficiency, w_cfm, w_gseo)
m_stack_rank_index = self.getStackRankIndex(m_efficiency, m_cfm, m_gseo)
q_stack_rank_index = self.getStackRankIndex(q_efficiency, q_cfm, q_gseo)
hy_stack_rank_index = self.getStackRankIndex(hy_efficiency, hy_cfm, hy_gseo)
self.processingStep.emit("Building final writer stats data for %s for %s." % (self.writer_name, self.end_date))
writer_summary = {
"Report Date": self.end_date,
"Writer ID": self.writer_id,
"Writer Name": self.writer_name,
"Writer Email ID": self.writer_email,
"Reporting Manager": writer_tl,
"Article Count": article_count,
"Weekly Article Count": w_article_count,
"Monthly Article Count": m_article_count,
"Quarterly Article Count": q_article_count,
"Half-Yearly Article Count": hy_article_count,
"Average Article Count": a_article_count,
"Efficiency": efficiency,
"Weekly Efficiency": w_efficiency,
"Monthly Efficiency": m_efficiency,
"Quarterly Efficiency": q_efficiency,
"Half-Yearly Efficiency": hy_efficiency,
"Average Efficiency": a_efficiency,
"Audit Count": audit_count,
"Weekly Audit Count": w_audit_count,
"Monthly Audit Count": m_audit_count,
#.........这里部分代码省略.........
示例5: getEfficiencyData
# 需要导入模块: import MOSES [as 别名]
# 或者: from MOSES import getEfficiencyFor [as 别名]
def getEfficiencyData(query_date=None):
#Set the date.
if query_date is None:
query_date = datetime.date.today()
user_id, password = MOSES.getbbc()
#Get a list of dictionaries pertaining to writers' data.
writers_data_list = MOSES.getWritersList(user_id, password, query_date)
#get a sorted list of writers' employee IDs.
writers_ids = [writer["Employee ID"] for writer in writers_data_list]
writers_ids.sort()
writer_count = len(writers_ids)
#For each writer, get the efficiency, work status, cfm and gseo.
writer_data_frame = pd.DataFrame(columns=["Employee ID","Employee Name","Status","Efficiency","CFM","GSEO","Efficiency Color","CFM Color", "GSEO Color"] )
#create a pandas dataframe with the following columns:
#writerid, writer_name, work_status, efficiency, cfm, gseo, stack_rank_index
red = "#FF3325"
green = "#43AD38"
blue = "#027CD5"
bright_blue = "#027CD5"
grey = "0.75"
writer_counter = 0
for writer in writers_data_list:
writer_id = writer["Employee ID"]
writer_name = "%s" %writer["Name"][:writer["Name"].find(" ")]
status, relaxation, approval = MOSES.checkWorkStatus(user_id, password, query_date, writer_id)
if status == "Working":
efficiency = MOSES.getEfficiencyFor(user_id, password, query_date, writer_id)
else:
efficiency = 100.00
cfm = MOSES.getCFMFor(user_id, password, query_date, writer_id)
gseo = MOSES.getGSEOFor(user_id, password, query_date, writer_id)
if status == "Working":
efficiency *= 100.000
efficiency = np.around(efficiency,3)
if efficiency < 100.000:
efficiency_color = red
elif 100.000 <= efficiency < 105.000:
efficiency_color = green
elif 105.000 <= efficiency < 110.000:
efficiency_color = blue
else:
efficiency_color = bright_blue
else:
efficiency_color = grey
#print efficiency, efficiency_color
if cfm < 95.000:
cfm_color = red
elif 95.000 <= cfm < 97.000:
cfm_color = green
elif 97.000 <= cfm < 99.000:
cfm_color = blue
else:
cfm_color = bright_blue
if gseo < 95.000:
gseo_color = red
elif 95.000 <= gseo < 97.000:
gseo_color = green
elif 97.000 <= gseo < 99.000:
gseo_color = blue
else:
gseo_color = bright_blue
writer_array = [writer_id, writer_name, status, efficiency,
cfm, gseo, efficiency_color, cfm_color, gseo_color]
#print writer_array
writer_data_frame.loc[writer_counter] = writer_array
writer_counter+=1
writer_data_frame.sort(["Efficiency","CFM","GSEO"], ascending = [0,0,0], inplace = True)
return writer_data_frame示例6: fetchWriterSummary
# 需要导入模块: import MOSES [as 别名]
# 或者: from MOSES import getEfficiencyFor [as 别名]
def fetchWriterSummary(self, writer_name):
"""
This method checks the mode.
"""
keys_list = getReportTypes()
writer_id = str(list(self.writers_data_frame[self.writers_data_frame["Name"] == writer_name]["Employee ID"])[0])
writer_email = str(list(self.writers_data_frame[self.writers_data_frame["Name"] == writer_name]["Email ID"])[0])
writer_summary = dict((key,"-") for key in keys_list)
writer_summary["Report Date"] = self.start_date
writer_summary["Writer ID"] = writer_id
writer_summary["Writer Name"] = writer_name
writer_summary["Writer Email ID"] = writer_email
writer_summary["Reporting Manager"] = MOSES.getReportingManager(self.user_id, self.password, query_user=writer_id, query_date=self.end_date)
if "Daily Article Count" in self.mode:
writer_summary["Daily Article Count"] = MOSES.getArticleCount(self.user_id, self.password, self.start_date, writer_id)
if ("Daily Efficiency" in self.mode) or ("Daily Stack Rank Index" in self.mode) or ("Daily Efficiency KRA"):
writer_summary["Daily Efficiency"] = MOSES.getEfficiencyFor(self.user_id, self.password, self.start_date, writer_id, self.category_tree)
if (type(writer_summary["Daily Efficiency"]) != str) and (not math.isnan(writer_summary["Daily Efficiency"])):
try:
writer_summary["Daily Efficiency KRA"] = self.getEffKRA(writer_summary["Daily Efficiency"])
except:
print writer_summary["Daily Efficiency"]
if ("Daily Audit Count" in self.mode) or ("Daily CFM" in self.mode) or ("Daily GSEO" in self.mode) or ("Daily Stack Rank Index" in self.mode) or ("Daily CFM KRA") or ("Daily GSEO KRA"):
writer_summary["Daily Audit Count"] = MOSES.getAuditCount(self.user_id, self.password, self.start_date, writer_id)
if writer_summary["Daily Audit Count"] > 0:
if ("Daily CFM" in self.mode) or ("Daily Stack Rank Index" in self.mode) or ("Daily CFM KRA") or ("Daily GSEO" in self.mode) or ("Daily Stack Rank Index" in self.mode) or ("Daily GSEO KRA"):
writer_summary["Daily CFM"], writer_summary["Daily GSEO"], fatals = MOSES.getCFMGSEOFor(self.user_id, self.password, self.start_date, writer_id)
if type(writer_summary["Daily CFM"]) != str:
writer_summary["Daily CFM KRA"] = self.getQKRA(writer_summary["Daily CFM"])
if type(writer_summary["Daily GSEO"])!= str:
writer_summary["Daily GSEO KRA"] = self.getQKRA(writer_summary["Daily GSEO"])
if "Daily Stack Rank Index" in self.mode:
writer_summary["Daily Stack Rank Index"] = self.getStackRankIndex(writer_summary["Daily Efficiency"], writer_summary["Daily CFM"], writer_summary["Daily GSEO"])
if "Average Article Count" in self.mode:
writer_summary["Average Article Count"] = MOSES.getArticleCountBetween(self.user_id, self.password, self.start_date, self.end_date, writer_id)
if ("Average Efficiency" in self.mode) or ("Average Stack Rank Index" in self.mode) or ("Average Efficiency KRA" in self.mode):
writer_summary["Average Efficiency"] = MOSES.getEfficiencyForDateRange(self.user_id, self.password, self.start_date, self.end_date, writer_id, self.category_tree)
if (type(writer_summary["Average Efficiency"]) != str) and (not math.isnan(writer_summary["Average Efficiency"])):
try:
writer_summary["Average Efficiency KRA"] = self.getEffKRA(writer_summary["Average Efficiency"])
except:
print writer_summary["Average Efficiency"]
if ("Average Audit Count" in self.mode) or ("Average CFM" in self.mode) or ("Average GSEO" in self.mode) or ("Average Stack Rank Index" in self.mode) or ("Average CFM KRA" in self.mode) or ("Average GSEO KRA" in self.mode):
writer_summary["Average Audit Count"] = MOSES.getAuditCountBetween(self.user_id, self.password, self.start_date, self.end_date, writer_id)
if writer_summary["Average Audit Count"] > 0:
if ("Average CFM" in self.mode) or ("Average Stack Rank Index" in self.mode) or ("Average CFM KRA" in self.mode) or ("Average GSEO" in self.mode) or ("Average Stack Rank Index" in self.mode) or ("Average GSEO KRA" in self.mode):
writer_summary["Average CFM"], writer_summary["Average GSEO"], fatals = MOSES.getCFMGSEOBetweenDates(self.user_id, self.password, self.start_date, self.end_date, writer_id)
if type(writer_summary["Average CFM"])!= str:
writer_summary["Average CFM KRA"] = MOSES.getQKRA(writer_summary["Average CFM"])
if type(writer_summary["Average GSEO"])!= str:
writer_summary["Average GSEO KRA"] = MOSES.getQKRA(writer_summary["Average GSEO"])
if ("Average Stack Rank Index" in self.mode):
writer_summary["Average Stack Rank Index"] = self.getStackRankIndex(writer_summary["Average Efficiency"], writer_summary["Average CFM"], writer_summary["Average GSEO"])
if "Weekly Article Count" in self.mode:
writer_summary["Weekly Article Count"] = MOSES.getArticleCountForWeek(self.user_id, self.password, self.start_date, writer_id)
if ("Weekly Efficiency" in self.mode) or ("Weekly Stack Rank Index" in self.mode) or ("Weekly Efficiency KRA" in self.mode):
writer_summary["Weekly Efficiency"] = MOSES.getEfficiencyForWeek(self.user_id, self.password, self.start_date, writer_id, self.category_tree)
if (type(writer_summary["Weekly Efficiency"]) != str) and (not math.isnan(writer_summary["Weekly Efficiency"])):
try:
writer_summary["Weekly Efficiency KRA"] = self.getEffKRA(writer_summary["Weekly Efficiency"])
except:
print writer_summary["Weekly Efficiency"]
if ("Weekly Audit Count" in self.mode) or ("Weekly CFM" in self.mode) or ("Weekly GSEO" in self.mode) or ("Weekly Stack Rank Index" in self.mode) or ("Weekly CFM KRA" in self.mode) or ("Weekly GSEO KRA" in self.mode):
writer_summary["Weekly Audit Count"] = MOSES.getAuditCountForWeek(self.user_id, self.password, self.start_date, writer_id)
if writer_summary["Weekly Audit Count"] > 0:
if ("Weekly CFM" in self.mode) or ("Weekly Stack Rank Index" in self.mode) or ("Weekly CFM KRA" in self.mode) or ("Weekly GSEO" in self.mode) or ("Weekly Stack Rank Index" in self.mode) or ("Weekly GSEO KRA" in self.mode):
writer_summary["Weekly CFM"], writer_summary["Weekly GSEO"], fatals = MOSES.getCFMGSEOForWeek(self.user_id, self.password, self.start_date, writer_id)
if type(writer_summary["Weekly CFM"])!= str:
writer_summary["Weekly CFM KRA"] = self.getQKRA(writer_summary["Weekly CFM"])
if type(writer_summary["Weekly GSEO"])!= str:
writer_summary["Weekly GSEO KRA"] = self.getQKRA(writer_summary["Weekly GSEO"])
if ("Weekly Stack Rank Index" in self.mode):
writer_summary["Weekly Stack Rank Index"] = self.getStackRankIndex(writer_summary["Weekly Efficiency"], writer_summary["Weekly CFM"], writer_summary["Weekly GSEO"])
if "Monthly Article Count" in self.mode:
writer_summary["Monthly Article Count"] = MOSES.getArticleCountForMonth(self.user_id, self.password, self.start_date, writer_id)
if ("Monthly Efficiency" in self.mode) or ("Monthly Stack Rank Index" in self.mode) or ("Monthly Efficiency KRA" in self.mode):
writer_summary["Monthly Efficiency"] = MOSES.getEfficiencyForMonth(self.user_id, self.password, self.start_date, writer_id, self.category_tree)
if (type(writer_summary["Monthly Efficiency"]) != str) and (not math.isnan(writer_summary["Monthly Efficiency"])):
try:
writer_summary["Monthly Efficiency KRA"] = self.getEffKRA(writer_summary["Monthly Efficiency"])
except:
print writer_summary["Monthly Efficiency"]
if ("Monthly Audit Count" in self.mode) or ("Monthly CFM" in self.mode) or ("Monthly GSEO" in self.mode) or ("Monthly Stack Rank Index" in self.mode) or ("Monthly CFM KRA" in self.mode) or ("Monthly GSEO KRA" in self.mode):
writer_summary["Monthly Audit Count"] = MOSES.getAuditCountForMonth(self.user_id, self.password, self.start_date, writer_id)
if writer_summary["Monthly Audit Count"] > 0:
if ("Monthly CFM" in self.mode) or ("Monthly Stack Rank Index" in self.mode) or ("Monthly CFM KRA" in self.mode) or ("Monthly GSEO" in self.mode) or ("Monthly Stack Rank Index" in self.mode) or ("Monthly CFM KRA" in self.mode):
writer_summary["Monthly CFM"], writer_summary["Monthly GSEO"], fatals = MOSES.getCFMGSEOForMonth(self.user_id, self.password, self.start_date, writer_id)
if type(writer_summary["Monthly CFM"])!= str:
writer_summary["Monthly CFM KRA"] = self.getQKRA(writer_summary["Monthly CFM"])
if type(writer_summary["Monthly GSEO"])!= str:
writer_summary["Monthly GSEO KRA"] = self.getQKRA(writer_summary["Monthly GSEO"])
#.........这里部分代码省略.........