def get(self, begin_time, end_time):
result = pd.DataFrame(columns=["name", "days"])
leaves = pd.read_json(
json.dumps(Leave.between(begin_time, end_time,query_type=False)))
if leaves.empty:
return self.succ([])
for name, g in leaves.groupby("uid"):
result.set_value(len(result), ["name", "days"], [name, g.days.sum()])
result_lst = []
result.sort_values("days", ascending=False).apply(
lambda x: result_lst.append({"name": x["name"], "days": x["days"]}), axis=1)
return self.succ(result_lst)
def get(self, begin_time, end_time):
result = pd.DataFrame(columns=["name", "days"])
leaves = pd.read_json(
json.dumps(Leave.between(begin_time, end_time, query_type=False)))
if leaves.empty:
return self.succ([])
for name, g in leaves.groupby("uid"):
result.set_value(len(result), ["name", "days"],
[name, g.days.sum()])
result_lst = []
result.sort_values("days", ascending=False).apply(
lambda x: result_lst.append({
"name": x["name"],
"days": x["days"]
}),
axis=1)
return self.succ(result_lst)
route = ["/stats/leave/days/<string:begin_time>/<string:end_time>"]
def get(self, begin_time, end_time):
result = pd.DataFrame(columns=["name", "days"])
leaves = pd.read_json(
json.dumps(Leave.between(begin_time, end_time,query_type=False)))
if leaves.empty:
return self.succ([])
for name, g in leaves.groupby("uid"):
result.set_value(len(result), ["name", "days"], [name, g.days.sum()])
result_lst = []
result.sort_values("days", ascending=False).apply(
lambda x: result_lst.append({"name": x["name"], "days": x["days"]}), axis=1)
return self.succ(result_lst)
if __name__ == "__main__":
result = pd.DataFrame(columns=["name", "days"])
leaves = pd.read_json(
json.dumps(Leave.between("2016-01-01", "2016-03-07")))
for name, g in leaves.groupby("uid"):
result.set_value(len(result), ["name", "days"], [name, g.days.sum()])
print(result)
json.dumps(Leave.between(begin_time, end_time, query_type=False)))
if leaves.empty:
return self.succ([])
for name, g in leaves.groupby("uid"):
result.set_value(len(result), ["name", "days"],
[name, g.days.sum()])
result_lst = []
result.sort_values("days", ascending=False).apply(
lambda x: result_lst.append({
"name": x["name"],
"days": x["days"]
}),
axis=1)
return self.succ(result_lst)
if __name__ == "__main__":
result = pd.DataFrame(columns=["name", "days"])
leaves = pd.read_json(json.dumps(Leave.between("2016-01-01",
"2016-03-07")))
for name, g in leaves.groupby("uid"):
result.set_value(len(result), ["name", "days"], [name, g.days.sum()])
print(result)
def get(self, begin_time, end_time):
query = Leave.between(begin_time, end_time).filter(Leave.days > 0)
return self.succ([Leave._to_dict(l) for l in query.all()])
