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================================== | |\ | | | | |/ __ _ |__| __ _ __ | | | \|_ / _||\ || ||_ |_||_ | | |_/|__\_/|| \|| ||__| \|__ | ================================== Developer's Guide | User's Manual The following 4 sections will describe: 1. Package structure 2. Installation guide 3. User manual (how to use) 4. Showcase guide (how to demo) Repository: https://github.com/tonnpa/begin-here ---------------------------- | 1. Package structure | ---------------------------- BeginHere is a web application, and the structure follows that of a Django project. begin-here/ begin_here/ <= location of Django project-wide settings data/ <= location of raw data files to populate the DB foodmap/ <= Django application, we highlight the most important files, folders models.py <= database tables static <= static web resources such as images, css, js templates <= HTML files views.py <= contains functions that define what data gets rendered on the frontend load.py <= script for populating the database PostGISQueries.sql <= script for calculating grid point attributes requirements.txt <= list of python package dependencies venv/ <= suggested location for virtualenv files ----------------------------- | 2. Installation guide | ----------------------------- 2.1 Recommended Operation System Ubuntu 16.04 (LTS) Xenial 2.2 Software requirements Python 2.7.x python-pip virtualenv (install via pip) git PostgreSQL 9.5.5 2.3 Installation Step 1. Clone the repository git clone https://github.com/tonnpa/begin-here.git cd begin-here Step 2. Set up virtual environment with required packages From here onwards, we assume the current working directory is ~/begin-here - Activate the virtual environment virtualenv venv - Install required packages pip install -r requirements.txt Step 3. Set up the database - Create the database tables python manage.py migrate Step 4. Populate the database - Download the snapshot of our database containing the model instances with cleaned and aggregated attributes from: https://app.box.com/s/x6b75wp0hns3djr1ocxphjed15hhjh7y - Place the snapshot.json into the folder ~/begin-here/foodmap/fixtures - Load the data python manage.py loaddata snapshot Following these steps, the web server could be started with python manage.py runserver And the user should be able to access the homepage at the assigned port. ----------------------------------- | 3. User manual (how to use) | ----------------------------------- Step 1. Copy the url generated from python manage.py runserver (eg. http://127.0.0.1:8000/) to browser address bar Step 2. On top-right panel, you can make choices: -- Price range -- Yelp rating -- Competitor cuisines: The restaurants you aim to stay away from. Please choose single or multiple options, or all. -- Complementary cuisines: The restaurants you aim to be close to. Click "Filter Results". See color codes in instructions. Step 3. On bottom-right panel, click the priority bars according to preferences from most important to least. Choose importance ranking by clicking one of the 4 options below. Click 'Highlight Your Locations'. Wait for a pop-up window showing 'All Done!'. Click 'OK'. Step 4. Put http://127.0.0.1:8000/choropleth into browser address bar. A choropleth map is now displayed on the left panel. --------------------------------------- | 4. Showcase guide (how to demo) | --------------------------------------- Step 1. CD to working folder, for example: yourID@machine:~/Development/cse6242/begin-here$ Step 2. Activate virtual environment: yourID@machine:~/Development/cse6242/begin-here$ source venv/bin/activate Step 3. Run server: yourID@machine:~/Development/cse6242/begin-here$ python manage.py runserver Step 4. Copy url http://127.0.0.1:8000/ to browser Step 5. Make a query: -- Select 'Moderate$$' and 'Pricey $$$' -- Select rating 3 to 5 -- In Competitors: select 'mediterranean', 'mexican' -- In Complementary cuisines: select 'italian' -- Click 'Filter Results' -- Click 'Proximity of competitors','Population income', 'Crimes in the neighborhood' -- Click 'Somewhat more important' -- Click 'Highlight Your Locations' Step 6. Display choropleth map: -- Wait for a pop-up window. Click 'OK'. -- Copy http://127.0.0.1:8000/choropleth to browser.
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