update readme

README.rst

@@ -9,19 +9,37 @@ The primary goal is to provide a lib for easily writing Hydra-enabled clients [1
 A secondary goal is to provide a client for Triple Patterns Fragments [2]_,
 and an RDFlib [3]_ Store backed on any TPF service.
 
+Using Redis to cache the data at the end of client.
+
+So, Data load from the server and store in Redis memory as a graph.
+
+With the help of Redis, clients becomes faster and easier to query the data.
+
 Installation
 ++++++++++++
 
 To install this library, from the projet directory, type::
 
     pip install .
 
+or
+
+    python3 setup.py install
+
 NB: developers might want to add the ``-e`` option to the command line above,
 so that modifications to the source are automatically taken into account.
 
+For install redis and start redis-server::
+
+    cd hydra_redis
+    ./redis_setup.sh
+
 Quick start
 +++++++++++
 
+For hydra.__init__.py
+---------------------
+
 To create a Hydra-enabled resource, use:
 
 .. code:: python
@@ -82,6 +100,84 @@ so that TPF services can be used transparently:
 
 Note however that this is experimental at the moment...
 
+
+For hydra_redis
+---------------
+
+For running the client you should run querying_mechanism
+
+    cd hydra_redis
+
+    python3 querying_mechanism.py
+
+and provide a valid url and then you can query in querying format.
+
+    >>>help # it will provide the querying format
+
+Code simplification
+^^^^^^^^^^^^^^^^^^^
+To create graph in Redis memory use:
+
+.. code:: python
+
+    import redis
+    from redisgraph import Graph, Node, Edge
+    redis_con = redis.Redis(host='localhost', port=6379)
+    self.redis_graph = Graph("apidoc", redis_con)
+
+
+For querying, url should be provided first:
+
+.. code:: python
+
+    url = input("url>>>")
+
+    return query(apidoc, url) # apidoc is vocab file provided by url.
+
+.. code:: python
+
+    while True:
+        print("press exit to quit")
+        query = input(">>>")
+        if query == "exit":
+            break
+        elif query == "help":
+            help() # provide querying format
+        else:
+            print(facades.user_query(query))# query can be done with facades class
+
+
+you can query in various formats:
+
+.. code:: python
+
+    print("for endpoint:- show endpoint")
+    print("for class_endpoint:- show classEndpoint")
+    print("for collection_endpoint:- show collectionEndpoint")
+    print("for members of collection_endpoint:-",
+          "show <collection_endpoint> members")
+    print("for properties of any member:-",
+          "show object<id_of_member> properties ")
+    print("for properties of objects:-show objects<endpoint_type> properties")
+    print("for collection properties:-",
+          "show <collection_endpoint> properties")
+    print("for classes properties:- show class<class_endpoint> properties")
+    print("for compare properties:-show <key> <value> and/or <key1> <value1>")
+
+
+Query can be done like this:
+
+.. code:: python
+
+    check_data = [['p.id', 'p.operations', 'p.properties', 'p.type'],
+                      ['vocab:EntryPoint/Location', 
+                       "['POST'", "'PUT'", "'GET']", 
+                       "['Location']", 'Location']]
+    query = "show classEndpoints"
+    self.assertEqual(data,check_data) #data is data retrieve from the Redis.
+
+For more detail take a look at [wiki file](https://github.com/HTTP-APIs/http-apis.github.io/blob/master/hydra-agent-redis-graph.md)
+
 References
 ++++++++++