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QUESTION
I am currently creating and deploying a function to be executed periodically in the Cloud Functions for Firebase scheduler as shown below. The key point is that I want it to be executed every day at 0:05 Japan time as .timeZone('Asia/Tokyo').
The deploy itself is working fine, but when I look at the content in GCP's Cloud Scheduler, the Time Zone is set to (America/LosAngeles) as shown in the image below, and the actual execution time is off from Japan time.
I manually changed the time zone to Japan time in the Cloud Scheduler function management screen and confirmed that the desired behavior was achieved, but when I deploy the function again, it is still set to (America/LosAngeles).
I thought it might be affected by the region of GCP itself, and that I would have to change the region of GCP, but I haven't found where I can change it from. However, I thought that I should be able to specify the .timeZone for each function from the code. I'm at a loss.
I don't know how to solve this problem, and I'm wondering if anyone can help me.
...ANSWER
Answered 2021-May-28 at 01:37This could be related to your CLI version, Make sure it is updated and if you keep experiencing issues, you should contact firebase support to submit a bug request HERE.
Another solution is that the region could be set as undefined inside your Google Cloud Platform (GCP) resource location
.
Just be warned that setting the GCP location isn't recommended unless you know what you are doing and you want to set all your default locations.
Reference: default-cloud-location
QUESTION
I'm working through the exercises on Learn Prolog Now! and I'm stumped on the very last question. Given the following facts:
...ANSWER
Answered 2021-May-29 at 03:43Your are not changing G
appropriately in the travel/3
predicate.
QUESTION
I have a column (in a dataframe) that contains multiple city names and I need to know the unique name of cities.
...ANSWER
Answered 2021-Apr-10 at 13:05df.city.str.split(",").explode().unique().tolist()
QUESTION
I have a column in tbl_df titled "Search" and would like to remove all characters to the right of the question mark "?"
Example
...ANSWER
Answered 2020-Dec-21 at 17:08We can use sub
QUESTION
New to python and a student of data analytics. Need to complete my capstone-2 project (using Jupyter notebook) where I am working on a bigger dataset. I have made the following smaller dataset (hypothetical) for this question. There was a somewhat related solution found on stackoverflow, but did not address the kind of problem listed here (though the question seemed similar).
date state county cases 0 3/1/2020 Illinois cook 1 1 3/1/2020 California losangeles 0 2 3/1/2020 Missouri stlouis 0 3 3/1/2020 Illinois dupage 0 4 3/1/2020 California sandiego 0 5 3/1/2020 Kentucky louisville 2 6 3/1/2020 Illinois sangamon 1 7 3/2/2020 Illinois cook 3 8 3/2/2020 California losangeles 3 9 3/2/2020 Missouri stlouis 1 10 3/2/2020 Illinois dupage 2 11 3/2/2020 California sandiego 1 12 3/2/2020 Kentucky louisville 2 13 3/2/2020 Illinois sangamon 1 14 3/3/2020 Illinois cook 6 15 3/3/2020 California losangeles 5 16 3/3/2020 Missouri stlouis 4 17 3/3/2020 Illinois dupage 6 18 3/3/2020 California sandiego 3 19 3/3/2020 Kentucky louisville 2 20 3/3/2020 Illinois sangamon 3 21 3/4/2020 Illinois cook 8 22 3/4/2020 California losangeles 5 23 3/4/2020 Missouri stlouis 4 24 3/4/2020 Illinois dupage 7 25 3/4/2020 California sandiego 3 26 3/4/2020 Kentucky louisville 3 27 3/4/2020 Illinois sangamon 3 ...ANSWER
Answered 2020-Dec-08 at 16:11This is an easy way to add the new column you want.
QUESTION
I am trying to make a list of cities based on the country that the user selected in a previous view. I have successfully passed the value of the selected country to the CityListView using @Binding. I am trying to filter an array of cities based on the selected country.
Here is what I have so far. However, it displays all the cities in the cities array.
...ANSWER
Answered 2020-Dec-01 at 11:59Make it inside body, otherwise binding will not work:
QUESTION
r_c = 'newyork sanfrancisco losangeles'.split()
def my_is_r_c(c):
return c.replace(' ', '').lower() in r_c
train['is_r_c'] = train['c_o'].apply(lambda x: 1 if my_is_r_c(x) else 0)
train['is_r_c'] = train['c_d'].apply(lambda x: 1 if my_is_r_c(x) else 0)
...ANSWER
Answered 2020-Nov-28 at 17:13Using df.filter
:
QUESTION
I have below user input json. [ { "correlationId": "12345", "payloadFormat": "Money", "payload": { "DE61": "000001000150084063368", "location": "south", "name": "Dallas", "pop": "2M" } }, { "correlationId": "ed1e3", "payloadFormat": "Cash", "payload": { "DE": "000001000150084063368", "location": "west", "name": "LosAngeles", "pop": "4M" } } ]
I need to convert in below output with the help of JOLT Spec
[ { "correlationId": "12345", "payloadFormat": "Money", "DE61SF1": "00", "DE61SF2": "100015008", "DE61SF3": "4063368", "location": "south", "name": "Dallas", "pop": "2M" }, { "correlationId": "ed1e3", "payloadFormat": "Cash", "DE61SF1": "00", "DE61SF2": "100015008", "DE61SF3": "4063368", "location": "west", "name": "LosAngeles", "pop": "4M" } ]
...ANSWER
Answered 2020-Nov-05 at 16:06Check this spec,
QUESTION
Input JSON is below [ { "correlationId": "12345", "payloadFormat": "Money", "payload": { "DE61": "000001000150084063368", "location": "south", "name": "Dallas", "pop": "2M" } }, { "correlationId": "ed1e3", "payloadFormat": "Cash", "payload": { "DE": "000001000150084063368", "location": "west", "name": "LosAngeles", "pop": "4M" } } ]
Need to transform as below output message.
[ {
...ANSWER
Answered 2020-Nov-03 at 09:03Check this spec,
QUESTION
Input Given
...ANSWER
Answered 2020-Oct-29 at 12:03Check this spec
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