Technical Proposal IA1 Developer

Technical Proposal IA1 Developer

1. Constraints/Limitations

   • Website Design
     • Aesthetic Features
       • Lack of expert UX design team
       • Solution may not look professional
     • Programming
       • May not be fully equipped to create solution
       • Languages
         • Python must be used to develop flask app
         • SQL must be used for databasing
       • Solution must cater for different types of data input
   • Time
     • Leads to less effective solution
   • Wave data is restriced to only what is given by datasets

2. Resources

   • Development Tools
     • IDE. eg. VS code, Thonny
     • Language: python
     • Flask
     • SQL
   • Stack Overflow for help

3. Coding Environment

   • Key Algorithms
     • Live Data Retrieval
       • Retrieve data from dataset
       • Process data to contain only relevant information in a consistent format
       • Insert the new data into SQL database
     • Displaying wave data to user
       • Get request parameters from user
       • Create SQL SELECT statement based on user's request
       • Send data to main.py
       • Display data when loading webpage
     • Favouriting wave location
       • User presses favourite button
       • Program gets id of selected location
       • id of location is added to user's favourites via SQL INSERT INTO statement
   • Required App Data
     • Wave height (m)
       • Datatype: float
     • Wave period (s)
       • Datatype: float
     • Time period
       • Datatype: datetime
     • Information source
       • Datatype: string
     • Location
       • Datatype: string
   • Data Storage/Retrieval
     • SQLlite
     • Python Flask module
       • Retrieval
       • Data insertion

4. Data Sources

   • Dataset 1
     • Pros
       • Data given as machine-readable csv file
       • Near-realtime update frequency
     • Cons
       • Contains data for only single location
       • Data omits wave speed
     • Features
       • Wave height
       • Wave direction
       • Wave period
       • Water surface temperature
   • Dataset 2
     • Pros
       • Data is updated every few hours
       • Data includes relevant information (wave height, wave period)
     • Cons
       • Presents data as images of graphs
         • Must be scanned to be turned into wokrable values
       • Only includes data upto 4 day period
       • Data omits wave speed and other useful data points
     • Features
       • Wave height
       • Wave frequency
       • Frequent updates