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The Health Professional (HP) model captures essential details about the HP, including their name, schedule, and timezone. The schedule is represented as a temporal expression, specifying the days of the week the HP is available and the time range for each day.
{
"_id": "unique_id",
"firstName": "John",
"lastName": "Smith",
"schedule": {
"weekDays": [1, 2],
"timeRange": {
"start": "time_start",
"end": "time_end"
},
"slotDuration": "PT15M"
},
"timezone": "Europe/Brussels"
}
To manage the HP's schedule and availability, a 14-day rolling window is used. This decision is motivated by performance considerations and the use of the Bucket Pattern in MongoDB, which aggregates data into manageable chunks. This model includes both scheduled events (e.g., appointments) and availability slots.
{
"_id": "42d41ce6-79ad-47b3-9f45-df6211de56fd",
"availabilities": [
// First Monday
{ "startTime": "2023-08-14T09:30:00.000Z", "endTime": "2023-08-14T12:00:00.000Z" },
{ "startTime": "2023-08-14T16:00:00.000Z", "endTime": "2023-08-14T20:00:00.000Z" },
// First Tuesday
{ "startTime": "2023-08-15T11:00:00.000Z", "endTime": "2023-08-15T18:00:00.000Z" },
// Second Monday
{ "startTime": "2023-08-21T09:30:00.000Z", "endTime": "2023-08-21T20:00:00.000Z" },
// Second Tuesday
{ "startTime": "2023-08-22T09:30:00.000Z", "endTime": "2023-08-22T20:00:00.000Z" },
],
"createdAt": "2023-08-13T00:00:00.000Z",
"endDate": "2023-08-28T00:00:00.000Z",
"healthProfessionalId": "c84cc145-1781-4e33-943d-7674242b322c",
"scheduledEvents": [
// Monday's event
{
"startTime": "2023-08-14T12:00:00.000Z",
"endTime": "2023-08-14T16:00:00.000Z",
"patientId": 67890,
"status": "confirmed"
},
// Tuesday's event
{
"startTime": "2023-08-15T09:00:00.000Z",
"endTime": "2023-08-15T11:00:00.000Z",
"patientId": 12345,
"status": "confirmed"
},
{
"startTime": "2023-08-15T18:00:00.000Z",
"endTime": "2023-08-15T20:00:00.000Z",
"patientId": 23456,
"status": "confirmed"
}
],
"startDate": "2023-08-13T00:00:00.000Z",
"timezone": "Europe/Brussels",
"updatedAt": "2023-08-13T00:00:00.000Z"
}
A TreeMap is used to store scheduled events, ensuring they are sorted by date. This allows for efficient lookups and insertions (O(logN)), even as the number of events grows (probably overkill in the model but interesting to mention).
-
Data Archiving: To maintain system performance, older scheduled events should be moved to an archive collection. This collection could be optimized for storage rather than query performance.
-
Concurrency: To handle concurrent operations, MongoDB's atomic operations or optimistic concurrency mechanisms should be used.
-
Time-Series Collections: MongoDB's time-series collections could be leveraged for more efficient storage and querying of schedule objects.
-
Algorithmic Efficiency: The function that computes availabilities could be optimized further (maybe by changing the design of the model?).
-
Scheduled Jobs: The code was designed to work with a potential cron job that could be set up to periodically update the 14-day schedule and compute availabilities. This will help reducing the computational load at the time of each http request.
To start the development server run nx serve rosa-interview. Open your browser and navigate to http://localhost:4200/. Happy coding!
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nx run-many -t <target1> <target2>
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Just run nx build demoapp to build the application. The build artifacts will be stored in the dist/ directory, ready to be deployed.
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