When users post an update on social media,such as a URL, image, status update etc., other users in their network are able to view this new post on their news feed. Users can also see exactly when the post was published, i.e, how many hours, minutes or seconds ago. Since sometimes posts are published and viewed in different time zones, this can be confusing. You are given two timestamps of one such post that a user can see on his newsfeed in the following format: Day dd Mon yyyy hh:mm:ss +xxxx Here +xxxx represents the time zone. Your task is to print the absolute difference (in seconds) between them.
The first line contains T, the number of test cases. Each test case contains 2 lines, representing time t1 and time t2.
- Input contains only valid timestamps
- year<=3000
Print the absolute difference (t1-t2) in seconds.
- 2
- Sun 10 May 2015 13:54:36 -0700
- Sun 10 May 2015 13:54:36 -0000
- Sat 02 May 2015 19:54:36 +0530
- Fri 01 May 2015 13:54:36 -0000
- 25200
- 88200
In the first query, when we compare the time in UTC for both the time stamps, we see a difference of 7 hours. which is 7x3600 seconds or 25200 seconds. Similarly, in the second query, time difference is 5 hours and 30 minutes for time zone adjusting for that we have a difference of 1 day and 30 minutes. Or 24x3600+30x60 => 88200
A python service which will take Task as an input(plain text with new line) through python rest api. Output will be the same as Task response. Response will be an ordered json array with the result. Example: [ "25200", "88200" ]
Containerize(docker) and run at least two images so that any app instance can provide the result as response. Also add node id from which node it is serving. Example: { "id":"YOUR_NODE_ID", "result":[ "25200", "88200"] }
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python3
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pip3
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virtualenv
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Post installation steps for linux: https://docs.docker.com/engine/install/linux-postinstall/
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Install docker engine on ubuntu: https://docs.docker.com/engine/install/ubuntu/
- docker build -t task . : Build the docker file
- docker run --rm -it -p 5000:5000 task : Run the docker Image from registry
- docker run -p 5000:5000 taskc -d : running in background
- docker ps: lists the containers that are still running. Add the -a switch in order to see containers that have stopped
- docker logs: retrieves the logs of a container, even when it has stopped
- docker inspect: gets detailed information about a running or stopped container
- docker stop: stops a container that is still running
- docker rm: deletes a container
- docker container prune -f: This is the equivalent of running one docker rm command for each stopped container.
- docker image ls : See the images available locally.
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docker tag task sayemomer/task
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docker login
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docker push sayemomer/task
- create vertualenv : $ virtualenv venv --python=python3
- active vertualenv : $ source venv/bin/activate
- install dependencies: $ pip3 install -r requirements.txt
- Start the server: $ python3 main.py