From afad055089b013e61e7ae96d4e94c7e42bfd3482 Mon Sep 17 00:00:00 2001
From: Catherine Yan <52057120+Chyan214@users.noreply.github.com>
Date: Sun, 27 Oct 2019 20:14:01 -0500
Subject: [PATCH] =?UTF-8?q?=C2=AF\=5F(=E3=83=84)=5F/=C2=AF?=
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Decisions need to be made on the database and how the server will be hosted befor a database can be created. Preferably a linux computer, because it is better for MySQL. Additionally, we could find an online database, but it will probably cost money, so I would not recommend.
---
 README.md                                     | 13 +++++-
 extension/backend/server/app.py               | 46 +++++++++++++++++++
 .../backend/tokenizer_files/Documentation.txt |  4 +-
 3 files changed, 59 insertions(+), 4 deletions(-)
 create mode 100644 extension/backend/server/app.py

diff --git a/README.md b/README.md
index 8ba5e5c..6133553 100644
--- a/README.md
+++ b/README.md
@@ -11,15 +11,24 @@ CS506 Project
 ## Installation
 Installations and downloads required before running the application
 ### Downloads
-* (optional test data) Reddit World News Database: https://www.kaggle.com/rootuser/worldnews-on-reddit 
+* (optional test data) Reddit World News Database: https://www.kaggle.com/rootuser/worldnews-on-reddit
+* MySQL documentation: https://dev.mysql.com/doc/mysql-getting-started/en/ 
+* Recommended Database/Downloads:
+  * free remote mysql(100MB cap): https://remotemysql.com/
+  * Community Server: https://dev.mysql.com/downloads/mysql/ 
+  * Visual Studio database: https://dev.mysql.com/downloads/windows/visualstudio/ 
+  * MySQL WorkBench: https://dev.mysql.com/downloads/workbench/ 
+  * General mySQL installer: https://dev.mysql.com/downloads/installer/ 
   
   <small> Currently looking at Google News vector space </small>
 
-### Library installs
+### Installs
 * `pip install beautifulsoup4`
 * `pip install spacy`
 * `python -m spacy download en_core_web_sm` 
 * `pip install --upgrade gensim`
+* `pip install Flask`
+* `pip install Flask-MySQLdb`
 
 <small>Note: 'en_core_web_sm' installation is subject to change for higher accuracy</small>
 
diff --git a/extension/backend/server/app.py b/extension/backend/server/app.py
new file mode 100644
index 0000000..8a78dff
--- /dev/null
+++ b/extension/backend/server/app.py
@@ -0,0 +1,46 @@
+from flask import Flask
+from flask_mysqldb import MySQL
+
+# requires a hosting site for database
+
+app = Flask(__name__)
+
+# configure database
+# probably should use extern variables for this infomation
+# documentation https://flask-mysqldb.readthedocs.io/en/latest/
+app.config['MYSQL_HOST'] = ''
+app.config['MYSQL_USER'] = ''
+app.config['MYSQL_PASSWORD'] = ''
+app.config['MYSQL_DB'] = ''
+
+# instanization of mysql object
+mysql = MySQL(app)
+
+@app.route('/')
+# sample section where infomation if placed into database
+def home():
+    # create cursor object
+    # allows us to execute querries
+    cursor = mysql.connection.cursor()
+    # insert info into the user model
+    cursor.execute("INSERT INTO user(name,email) VALUES(%s,%s)", (name,email))
+    # saves the changes
+    mysql.conntection.commit()
+    cursor.close()
+    return 'Flask'
+
+@app.route('/users')
+# sample code how infomation is retrieved from database
+def users():
+    cursor = mysql.connection.cursor()
+    # returns the number of rows in user model in database
+    resultValue = cur.execute("SELECT * FROM users")
+    if resultValue > 0: # e.g. there is something inside of the database
+        # returns all of rows which has been fetched by the cursor
+        userDetails = cursor.fetchall()
+        for user in userDetails:
+            print(user[0]) # username
+            print(user[0]) # user email
+
+if __name__ == "__main__":
+    app.run()
\ No newline at end of file
diff --git a/extension/backend/tokenizer_files/Documentation.txt b/extension/backend/tokenizer_files/Documentation.txt
index 7c34a64..e61b98e 100644
--- a/extension/backend/tokenizer_files/Documentation.txt
+++ b/extension/backend/tokenizer_files/Documentation.txt
@@ -14,7 +14,7 @@ class Paragraph:
 
 Methods:
 
-    preprocessing(<type=spacy.Doc object> text):
+    preprocessing(text):
         Lemmatize non-stop words, removes punctuation, lowercase all non proper nouns
 
         Parameters
@@ -49,7 +49,7 @@ Methods:
             each sentence[x] is a sentence in the given text
 
 
-    predict(claim, <type=List(str)> text):
+    predict(claim, text):
         Predicts which paragraph/setences is most similar to the given claim using
         the loaded vector space