As a developer I would like a dataset to be created which matches the expected format of the API so that I can develop and test the algorithm implementation.
Description
A dataset to be used during the implementation and testing of the algorithm and its associated functions is needed. The dataset should match the API spec and align with company 1. The dataset will likely be represented as a JSON file or a python file with an object defined. Regardless of how the dataset is stored, it should be easy to import and use in other python files.
Ideally, a script is written to generate this mock data, with functions that can accept parameters that specify how much data to generate. However, this is not required.
Acceptance Criteria
[x] The dataset matches the API spec
[x] The dataset incorporates given data and any data we can scrape from UVic, and randomizes the rest (within "normal" values)
[x] The dataset has the same number of professors as we would expect (can be mock data)
[x] The dataset includes all the SENG, CSC, and ECE courses required for a software engineering degree
[x] The dataset is easy to import and use in other python files (no additional code is needed to convert the dataset into a python object)
NolanVH
commented
2 years ago
User Story
As a developer I would like a dataset to be created which matches the expected format of the API so that I can develop and test the algorithm implementation.
Description
A dataset to be used during the implementation and testing of the algorithm and its associated functions is needed. The dataset should match the API spec and align with company 1. The dataset will likely be represented as a JSON file or a python file with an object defined. Regardless of how the dataset is stored, it should be easy to import and use in other python files.
Ideally, a script is written to generate this mock data, with functions that can accept parameters that specify how much data to generate. However, this is not required.
Acceptance Criteria
Additional Resources
Add attachments, external links, etc here.