setup script and documentation file updated

TEST_FEDERATED_ANALYTICS.md

@@ -1,22 +1,23 @@
 ## How to test federated analytics
 How to use federated analytics to calculate mean, variance and standard deviation
 
-#### Steps
+### Steps
 
-1. Clone ravsock, ravop, ravjs and ravpy
+#### 1. Clone ravsock, ravop, ravjs, ravftp and ravpy
 
 
+    git clone https://github.com/ravenprotocol/ravsock.git
     git clone https://github.com/ravenprotocol/ravjs.git
     git clone https://github.com/ravenprotocol/ravop.git
     git clone https://github.com/ravenprotocol/ravpy.git
     git clone https://github.com/ravenprotocol/ravftp.git
 
-2. Setup dependencies(ravjs, ravop, ravftp and ravpy)
+#### 2. Setup dependencies(ravjs, ravop, ravftp and ravpy)
 
 
     sh setup.sh
 
-3. Set FTP server directory and FTP environ path inside of ravsock/config.py
+#### 3. Set FTP server directory and FTP environ path inside of ravsock/config.py
 
 
     # ~/ravftp
@@ -25,21 +26,21 @@ How to use federated analytics to calculate mean, variance and standard deviatio
     # ~/miniconda3/envs/ravftp/bin
     FTP_ENVIRON_DIR = "<ravftp_virtual_env_dir>"
 
-4. Set RDF_DATABASE_URI and create database with database tables required for the project
+#### 4. Set RDF_DATABASE_URI and create database with database tables required for the project
 
 
     RDF_DATABASE_URI = "sqlite:///rdf.db?check_same_thread=False"
 
     python reset.py   # Deletes the old database 
 
 
-5. Start ravsock server (socket + http server)
+#### 5. Start ravsock server (socket + http server)
 
 
     python run.py
 
 
-6. Create a federated analytics graph by providing its name, approach and rules which clients must adhere to 
+#### 6. Create a federated analytics graph by providing its name, approach and rules which clients must adhere to 
 
 
     graph = R.Graph(name="Office Data", approach="federated",
@@ -50,7 +51,7 @@ How to use federated analytics to calculate mean, variance and standard deviatio
                                             },
                                   "max_clients": 1})) 
 
-7. Now you can calculate mean, variance or standard deviation by following the steps given below
+#### 7. Now you can calculate mean, variance or standard deviation by following the steps given below
 
 
     mean = R.federated_mean() 

setup.sh

@@ -10,7 +10,6 @@ cd repos
 
 git clone https://github.com/ravenprotocol/ravop.git
 pip install -r ravop/requirements.txt
-python ravop/setup.py install
 cp -R ravop/ravop ../
 rm -rf ravop