Maintenance
Task 1
A Community Maintenance Officer records damage to local property using a clipboard and pen.
Data entry staff will then record the information digitally.
A computer program stores an array of DamageRecord objects.
Each digital DamageRecord has:
- an id, an Integer passed as a parameter on construction.
- a memo, a String describing the damage initialised to
None on construction. - a date, a String, initialised to the date of entry on construction.
Design the DamageRecord class, including a constructor method and accessor methods for all of the class variables and a mutator method, addMemo, which asks the user to input a description of the damage and assigns it to the memo attribute..
In a computer program we should be able to construct a new DamageRecord as follows:
drec = DamageRecord(1)
Test your design with this program:
drec = DamageRecord(1)
print(drec.getDate())
print(drec.getMemo())
Save your solution as DamageRecord-1.py
Task 2 - A computer program
Design a computer program using the following structure chart:
The following table describes the modules:
| module | description |
|---|---|
| Input Choice | Enter 1 to add, 2 to search, 0 to quit |
| Process Choice | If choice is 1, call Create module. If choice is 2 call Search module - code an efficient Linear Search |
| Create | Input ID, construct object,append to array |
| Search | Input ID and display memo, or "Not Found" if ID does not exist |
Save your solution as DamageRecord-2.py
Task 3 - Adaptive maintenance
You will perform some adaptive maintenance on your program because a new requirement has been identified.
In your computer program, design a new procedure which accepts a date (as a String) as a parameter. The procedure displays all memos in DigitalRecords that have the same date as the parameter.
Save your solution as DamageRecord-3.py
Task 4 - Pseudocode
Write pseudocode for Task 3.
Testing
Make sure you are thoughtful when testing your solution.
If your code has a validation check, test your code with acceptable/valid data and unacceptable/invalid data.