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Web Services and Web Data Coursework
创建日期：2024-07-03 15:45:54
标签： Web
Web Services and Web Data Coursework

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1. The Brief

In this project, you will use the Django framework to implement a RESTful web API for rating professors. You will host your website on www.pythonanywhere.com (for free). You will also write a simple command line application for interacting with the API.

2. The Web Service

We want to develop a RESTful web service to allow students to rate the teaching of professors in various modules on a scale from 1 to 5. The service must provide all the required web API’s to allow client applications to offer the functionality described below.

The service maintains data about professors, modules, and the rating of professors by different users (students). Information about modules and professors are manually added by the admin of the service using the admin site. The admin site is automatically created by the Django web development framework.

A module may be:

• Taught by different professors in different academic years.

• Taught by different professors in different semesters.

• Taught by more than one professor at the same time (for example each teaching some part
of the module).

Since an academic year spans two calendar years (e.g. 2018-19), an academic year will be given by its first year only (hence 2018-19 is given as 2018).

Users of the service (students) can rate professors but cannot add or change module information.

Before they can rate professors, users must register by providing a username, email, and password.

Users can only rate professors when they are logged in to the service. The overall rating of a professor is the average of the professor’s rating by all users across all module instances taught by this professor. A module instance is a module taught in a certain year and semester by one or more professors. Any decimal fraction in the average is rounded to the nearest integer.

A client application connected to the service will provide the user with the following options:

Option 1. View a list of all module instances and the professor(s) teaching each of them. Here is an example of a possible client application output for this option.

Note that modules and professors are given unique identifiers in the web service to avoid any possible mix-up between names.

Option 2. View the rating of all professors. Here is an example of a possible client application output for this option.

The rating of Professor J. Excellent (JE1) is *****
The rating of Professor T. Terrible (TT1) is *
The rating of Professor V. Smart (VS1) is **

Option 3. View the average rating of a certain professor in a certain module:
The rating of Professor V. Smart (VS1) in module Computing for Dummies (CD1) is ***

Option 4. Rate the teaching of a certain professor in a certain module instance.
Note that all filtering of data and calculations should be done by the server, i.e. the client application does not process incoming data; the application simply displays the data returned by the service in a human readable format.

You are required to:

1. Design and implement a suitable database for the above service. You must specify all required tables, the fields of each table and their data types, and the relationships between the tables.

2. Design and implement all web API’s that must be provided by the service to allow a client application to perform the functionality described in Options 1 – 4. For each API, you must specify: the purpose of the API, a URL, an HTTP method, the request data, and the response data.

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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 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