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For a general introduction to Hydra Ecosystem, see hydraecosystem.org.

hydra-python-agent is a smart Hydra client implemented in Python which works with hydrus. Reference implementation is Heracles.ts. Smart clients are generic automated clients that establish resilient connected data networks leveraging knowledge graphs.

Quick Start

Our Hydra Agent has different interfaces that you can try:

General characteristics

The Agent is designed to:

The final goal is to create a Client that can connected to multiple hydrus servers and operate between them while caching information in a graph-based database(Redis). This should enable the client to have an "aggregated view" of the connected network (the network of all the servers it connects to) and make complex sematic queries to it.

Installation

NOTE: You'll need to use python3. Using venv(virtual environment) is recommended.

Clone and setup a virtual environment:

git clone https://github.com/HTTP-APIs/hydra-python-agent.git
cd hydra-python-agent
python3 -m venv venv
source venv/bin/activate

Install dependencies and setup Agent:

pip3 install --upgrade pip
pip3 install -r requirements.txt
python3 setup.py install

Setup Redis which is used as caching layer(if permission denied use sudo):

./redis_setup.sh

Setup hydrus Since this is an API Client, we need an appropriate Hydra Server to query to. To setup a localhost follow the instructions at https://github.com/HTTP-APIs/hydrus#demo. You might want to run hydrus serve --no-auth to skip setting up headers.

Agent package

After installing the Agent and running Redis, as per instructions above, you can do something like:

from hydra_agent.agent import Agent 

agent = Agent("http://localhost:8080/serverapi/") # <- hydrus Server URL 
agent.get("http://localhost:8080/serverapi/DroneCollection/")

The agent supports GET, PUT, POST or DELETE:

To GET a existing resource you should:

agent.get("http://localhost:8080/serverapi/<ResourceType>/<Resource-ID>")
agent.get("http://localhost:8080/serverapi/<CollectionType>/")
agent.get("http://localhost:8080/serverapi/<CollectionType>/<Collection-ID>")

To PUT a new resource say on a Drone endpoint, you should:

new_resource = {
    "@type": "Drone",
    "DroneState": {
        "@type": "State",
        "Battery": "50%",
        "Direction": "N",
        "Position": "50.34",
        "SensorStatus": "Active",
        "Speed": "100"
    },
    "MaxSpeed": "500",
    "Sensor": "Active",
    "model": "Drone_1",
    "name": "Drone1"
}
agent.put("http://localhost:8080/serverapi/Drone/", new_resource)

To UPDATE a resource you should:

existing_resource["name"] = "Updated Name"
agent.post("http://localhost:8080/serverapi/<ResourceType>/<Resource-ID>", existing_resource)

To DELETE a resource you should:

agent.delete("http://localhost:8080/serverapi/<ResourceType>/<Resource-ID>")

To ADD members in collection:

request_body = {
    "@type": "<CollectionType>",
    "members": [
        {
            "@id": "<ResourceID>",
            "@type": "<ResourceType>"
        },
        {
            "@id": "<ResourceID>",
            "@type": "<ResourceType>"
        },
    ]
}
agent.put("http://localhost:8080/serverapi/<CollectionType>", request_body)

NOTE: <ResourceType> can be different in given request body.

TO GET members of specific Collection:

agent.get("http://localhost:8080/serverapi/<CollectionType>/<CollectionID>")

TO UPDATE members of specific collection:

updated_collection = {
    "@type": "<CollectionType>",
    "members": [
        {
            "@id": "<ResourceID>",
            "@type": "<ResourceType>"
        },
        {
            "@id": "<ResourceID>",
            "@type": "<ResourceType>"
        },
    ]
}
agent.post("http://localhost:8080/serverapi/<CollectionType>/<CollectionID>",updated_collection )

TO DELETE members of specific Collection:

agent.delete("http://localhost:8080/serverapi/<CollectionType>/<CollectionID>")

More than that, Agent extends Session from https://2.python-requests.org/en/master/api/#request-sessions, so all methods like auth, cookies, headers and so on can also be used.

Natural-language-like Command Line Tool

If you've followed the installation instructions you can run:

python hydra_agent/querying_mechanism.py

Another alternative to run the CLT is using docker componse. To run both Redis server and the client(stop any Redis instance before), you can run the command:

    docker-compose run client

To query you should provide a hydrus URL first:

     url>>> http://localhost:8080/serverapi/

Obs.: If failing to connect to localhost running the Agent via Docker, head to issue #104.

Run help inside the CLT to get the querying format.

    >>>help # it will provide the querying format

You can query the server with the following format:

Get all endpoints:- show endpoints Get all class_endpoints:- show classEndpoints Get all collection_endpoints:- show collectionEndpoints Get all members of collection_endpoint:- show < collection_endpoint > members Get all properties of objects:- show objects< endpoint_type > properties Get all properties of any member:- **show object< id_of_member > properties ** Get all classes properties:- show class< class_endpoint > properties Get data with compare properties:- show < key > < value > and/or < key1 > < value1 > Get data by using both opeartions(and,or) you should use brackets like:- show model xyz and (name Drone1 or name Drone2) or, show < key > < value > and (< key > < value > or < key > < value >)

For more detail take a look at wiki file

Missing bits at the moment

References

Hydra-Enabled smart client

Hydra core vocabulary