I am trying to add seconds to a datestamp string that is received from a json object but the datetime function I am trying to use does not allow strings and wants the date to be separated like: datetime.strftime(2011,11,18). Here is what I have:
import requests
from datetime import datetime
def call():
pay = {'token' : "802ba928cd3ce9acd90595df2853ee2b"}
r = requests.post('http://challenge.code2040.org/api/dating',
params=pay)
response = r.json()
time = response['datestamp']
interval = response['interval']
utc = datetime.strftime(time, '%Y-%m-%dT&H:%M:%S.%fZ')
timestamp = (utc-time).total_seconds()
utc_dt = datetime(time) + timedelta(seconds=timestamp)
print(utc_dt.strftime('%Y-%m-%dT%H:%M:%S.%fZ'))
Is there another way I can add time to a ISO8601 datestamp?
Related
from API I get my latest event time, I want to check if my event time coming from the API is not older than 5 minutes, here is my code
import json
from typing import Optional
import datetime
import time
import requests
def check_event():
now = datetime.datetime.now()
old_time = datetime.datetime.now() - datetime.timedelta(minutes=5)
res = requests.post(URL, data=json.dumps(PAYLOAD), headers=headers)
available_event = res.json()
print(available_event[0]['result']['time'])
event_time = available_lag[0]['result']['time']
ev2 = datetime.datetime.strptime(event_time,'%Y-%m-%dT%H:%M:%S.%f%z' )
print(ev2)
if event_time < old_time:
print(" old")
else:
print("fresh")
from my API time returns in this formate
2022-04-14T07:28:08.000Z
and when I strip the event_time to convert str to datetime, I get following outout
2022-04-14 07:49:27+00:00
and print of the old_time varible format is following
2022-04-14 10:23:08.169712
and when I compare both times, I get following error
TypeError: '<' not supported between instances of 'str' and
'datetime.datetime'
how to fix this?
[Edited]. Yeah, as is stated bellow you can use timezone from datetime module:
from datetime import datetime, timedelta, timezone
def check_event(event_time):
event_time = datetime.strptime(event_time, '%Y-%m-%dT%H:%M:%S.%f%z')
return event_time > datetime.now(timezone.utc) - timedelta(minutes=5)
time_from_API = '2022-04-14T07:28:08.000Z'
print(check_event(time_from_API))
I was trying to read s3 file which is a fee summary report and now i am trying to Check if the report is present and if the report is older than specified time (configurable) and return boolean
my code is shown below,
import boto3
import json
import os
BUCKET_NAME = os.getenv('')
KEY = os.getenv('')
def send_notification():
report = get_report()
print(bool(report))
print(report)
def get_report():
s3_client = boto3.client('s3')
response = s3_client.get_object(Bucket=BUCKET_NAME, Key=KEY)
data = response['Body'].read()
report = json.loads(data)
return report
I need to set a time locally and compare it with the date which is there on the fee summary report and return a boolean value. Kindly looking for someone's help. Thanks in advance.
Let's say you have a column of dates. You can convert the time to your desired timezone, e.g. "America/Los_Angeles" using the datetime and pytz module.
import datetime as dt
import pytz
dates = ["2017-01-01 14:00:00","2017-01-01 14:00:00", "2017-01-01 14:00:00","2017-01-01 14:30:00"]
for d in dates:
start = dt.datetime.strptime(d, "%Y-%m-%d %H:%M:%S")
start = start.replace(tzinfo=pytz.utc)
local_tz = pytz.timezone("America/Los_Angeles") # convert to desired timezone
To check if a time is greater than any specific time, let's say 9 o'clock, use:
utc = pytz.utc
loc_dt = utc.localize(datetime.datetime.today().replace(hour=9, minute=0))
today = utc.localize(datetime.datetime.today())
if loc_dt < today:
print("True")
I'm doing a parse from string ISO8601 to a datetime and it's working. Now I want to return datetime on localtime but my code is returning same timestamp from input:
def format_string_to_timestamp(dt, defaultTimezone='America/Sao_Paulo'):
origin_dt = datetime.strptime(dt, '%Y-%m-%dT%H:%M:%S.%f')
tz_local = pytz.timezone (defaultTimezone)
dt_local = origin_dt.astimezone(tz_local).replace(tzinfo=None)
print(dt)
print(dt_local)
print(origin_dt)
return dt_local.strftime('%Y-%m-%d %H:%M:%S')
# example input: 2019-02-25T17:58:53.753
What is missing to return dt_local as America/Sao_Paulo timezone?
I am looking for a comparison of two times in Python. One time is the real time from computer and the other time is stored in a string formatted like "01:23:00".
import time
ctime = time.strptime("%H:%M:%S") # this always takes system time
time2 = "08:00:00"
if (ctime > time2):
print("foo")
import datetime
now = datetime.datetime.now()
my_time_string = "01:20:33"
my_datetime = datetime.datetime.strptime(my_time_string, "%H:%M:%S")
# I am supposing that the date must be the same as now
my_datetime = now.replace(hour=my_datetime.time().hour, minute=my_datetime.time().minute, second=my_datetime.time().second, microsecond=0)
if (now > my_datetime):
print("Hello")
EDIT:
The above solution was not taking into account leap second days (23:59:60). Below is an updated version that deals with such cases:
import datetime
import calendar
import time
now = datetime.datetime.now()
my_time_string = "23:59:60" # leap second
my_time_string = now.strftime("%Y-%m-%d") + " " + my_time_string # I am supposing the date must be the same as now
my_time = time.strptime(my_time_string, "%Y-%m-%d %H:%M:%S")
my_datetime = datetime.datetime(1970, 1, 1) + datetime.timedelta(seconds=calendar.timegm(my_time))
if (now > my_datetime):
print("Foo")
https://docs.python.org/2/library/datetime.html
The datetime module will parse dates, times, or combined date-time values into objects that can be compared.
from datetime import datetime
current_time = datetime.strftime(datetime.utcnow(),"%H:%M:%S") #output: 11:12:12
mytime = "10:12:34"
if current_time > mytime:
print "Time has passed."
I am trying to calculate the time from the issue is created and until it is resolved. With these fields:
creation_time = issue.fields.created
resolved_time = issue.fields.resolutiondate
Output when I print:
Creation: 2016-06-09T14:37:05.000+0200 Resolved: 2016-06-10T10:53:12.000+0200
Is there anyway I can minus the resolution date and time with the creation date and time to find how much time is spent on a issue?
Parse the date/time strings into a suitable datetime object and then you can use those to do calculations.
This post explains how to parse a date/time string or you can just take a look at the documentation for the strptime() method.
For calculations, there are examples in this post and there's detailed documentation here.
As an example, something like this should be close to a solution:
from datetime import datetime
from datetime import timedelta
createdTime = datetime.strptime('2016-06-09T14:37:05.000+0200', '%Y-%m-%dT%H:%M:%S.%f')
resolvedTime = datetime.strptime('2016-06-10T10:53:12.000+0200', '%Y-%m-%dT%H:%M:%S.%f')
duration = resolvedTime - createdTime
duration will be a timedelta object and you can access duration.days, duration.seconds and duration.microseconds to get its info.
strptime does have as a drawback that it does not support parsing timezones, so you'll have to cut that part of your input first. Alternatively, see this post.
strptime does not support parsing timezones.
This code is working for me
from datetime import datetime
createdTime = datetime.strptime(issue.fields.created.split(".")[0], '%Y-%m-%dT%H:%M:%S')
resolvedTime = datetime.strptime(issue.fields.resolutiondate.split(".")[0], '%Y-%m-%dT%H:%M:%S')
duration = resolvedTime - createdTime
I've write a function which calculates mean, median and variance of the respond times in days. Hope that helps;
import datetime as d
import numpy as np
ymd_create = []
ymd_resdate = []
delta_t = []
class calculate:
def __init__(self):
self.result = 0
def meantime(self, issueobject):
for i in range(0, len(issueobject)):
ymd_create.append(d.datetime(int(issueobject[i].raw[u'fields'][u'created'].split('T')[0].split('-')[0]), int(issueobject[i].raw[u'fields'][u'created'].split('T')[0].split('-')[1]), int(issueobject[i].raw[u'fields']
[u'created'].split('T')[0].split('-')[2]), int(issueobject[i].raw[u'fields'][u'created'].split('T')[1].split(':')[0]), int(issueobject[i].raw[u'fields'][u'created'].split('T')[1].split(':')[1])))
ymd_resdate.append(d.datetime(int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[0].split('-')[0]), int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[0].split('-')[1]), int(issueobject[i].raw[u'fields']
[u'resolutiondate'].split('T')[0].split('-')[2]), int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[1].split(':')[0]), int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[1].split(':')[1])))
delta_t.append((ymd_resdate[i] - ymd_create[i]).days)
self.result = np.mean(np.array(delta_t))
return self.result
def mediantime(self, issueobject):
for i in range(0, len(issueobject)):
ymd_create.append(d.datetime(int(issueobject[i].raw[u'fields'][u'created'].split('T')[0].split('-')[0]), int(issueobject[i].raw[u'fields'][u'created'].split('T')[0].split('-')[1]), int(issueobject[i].raw[u'fields']
[u'created'].split('T')[0].split('-')[2]), int(issueobject[i].raw[u'fields'][u'created'].split('T')[1].split(':')[0]), int(issueobject[i].raw[u'fields'][u'created'].split('T')[1].split(':')[1])))
ymd_resdate.append(d.datetime(int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[0].split('-')[0]), int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[0].split('-')[1]), int(issueobject[i].raw[u'fields']
[u'resolutiondate'].split('T')[0].split('-')[2]), int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[1].split(':')[0]), int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[1].split(':')[1])))
delta_t.append((ymd_resdate[i] - ymd_create[i]).days)
self.result = np.median(np.array(delta_t))
return self.result
def variancetime(self, issueobject):
for i in range(0, len(issueobject)):
ymd_create.append(d.datetime(int(issueobject[i].raw[u'fields'][u'created'].split('T')[0].split('-')[0]), int(issueobject[i].raw[u'fields'][u'created'].split('T')[0].split('-')[1]), int(issueobject[i].raw[u'fields']
[u'created'].split('T')[0].split('-')[2]), int(issueobject[i].raw[u'fields'][u'created'].split('T')[1].split(':')[0]), int(issueobject[i].raw[u'fields'][u'created'].split('T')[1].split(':')[1])))
ymd_resdate.append(d.datetime(int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[0].split('-')[0]), int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[0].split('-')[1]), int(issueobject[i].raw[u'fields']
[u'resolutiondate'].split('T')[0].split('-')[2]), int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[1].split(':')[0]), int(issueobject[i].raw[u'fields'][u'resolutiondate'].split('T')[1].split(':')[1])))
delta_t.append((ymd_resdate[i] - ymd_create[i]).days)
self.result = np.var(np.array(delta_t))
return self.result