Train station departure board

MBTA REST API

Massachusetts Bay Transportation Authority (MBTA) provides a public REST API.

The API reference can be found here.

For experimentation there is a swagger page.

Create a departure board

Use the predictions API:

https://api-v3.mbta.com/predictions?page%5Boffset%5D=0&page%5Blimit%5D=10&sort=-departure_time&filter%5Bstop%5D=place-north

Notes:

• The prediction object shows the actual time or arrival and status
• The schedule object shows the planned time
• Use the vehicle object to get some of the train information like number, destination, etc.
• You will need to manually map each prediction with the vehicle and schedule objects via their IDs

Where to upload the homework?

Create a app named xx_firstname_lastname the current django project (homework_02) where:

• xx is your number in class
• firstname is your first name
• lastname is your last/family name

Example: 05_ivan_ivanov

When running the server and accessing it via the following url it should display the departure board.

Example: localhost:8000/05/ should open a page with the departure board

Important: Create a pull request with the changes to allow others to review the changes. Do not merge the PR before the code review deadline.

Code reviews

Student	Reviewer 1	Reviewer 2
Alexander1022	Vladikolev0321	DeniBademi
AngelStoyanov33	marti456	Alexander1022
atanasatanasov03	Martincho2003	marto55
Vic-Dim	AngelStoyanov33	Martincho2003
Vicktoria853	Ivan-Enchev	Vladikolev0321
Vladikolev0321	atanasatanasov03	AngelStoyanov33
GerganaRoeva	StelianRBG	Vicktoria853
DeniBademi	marto55	atanasatanasov03
elizadamgova	Teodor1331	StelianRBG
Ivan-Enchev	elizadamgova	VayerMaking
Lilly7777	DeniBademi	mvvrachev
mvvrachev	Vicktoria853	elizadamgova
marto55	Vic-Dim	Teodor1331
marti456	GerganaRoeva	petardmnv
Martincho2003	Lilly7777	Ivan-Enchev
VayerMaking	petardmnv	Vic-Dim
petardmnv	VayerMaking	GerganaRoeva
StelianRBG	Alexander1022	marti456
Teodor1331	mvvrachev	Lilly7777

Try to show things that can be improved in the code, but also note the parts that you like. Aim at giving a balanced code review - state both the parts that are good and those that may be improved.

Deadline

Uploading the homework:

Sun, 24 Oct 2021 23:59:59 +0300

Doing the code reviews:

Tue, 26 Oct 2021 23:59:59 +0300

Merge the pull request:

Sun, 31 Oct 2021 23:59:59 +0300