diff --git a/integrations/mobility-integrations/README.md b/integrations/mobility-integrations/README.md index 6f6f7683..8563b8e3 100644 --- a/integrations/mobility-integrations/README.md +++ b/integrations/mobility-integrations/README.md @@ -1,11 +1,19 @@ # 🚗 uAgent Mobility Integrations Examples 🚴 -This repository contains examples of mobility integrations using two agents: `ev_charger` and `geoapi_car_parking`. +This repository contains examples of mobility integrations using these agents: `ev_charger`, `car_wash`, `car_service`, `restaurant`, `gecode` and `geoapi_car_parking`. 1. `ev_charger`: This agent takes latitude, longitude, and a miles radius as input and returns available EV chargers in that region within the given radius. It utilizes the [OpenChargeMap](https://openchargemap.org/site/develop/api) API to retrieve the desired results. 2. `geoapi_car_parking`: This agent takes latitude, longitude, and a miles radius as input and returns available parking spaces within that radius. The agent leverages [Geoapify](https://www.geoapify.com/) to fetch the desired results. +3. `geocode`: This agent takes an address as input and returns latitude and longitude of the given address. + +4. `car_wash`: This agent takes latitude, longitude, and a miles radius as input and returns available Car wash in that region within the given radius. It utilizes the mock data from `car_wash_data.py` to retrieve the desired results. + +5. `car_service`: This agent takes latitude, longitude, and a miles radius as input and returns available Car services in that region within the given radius. It utilizes the mock data from `car_service_data.py` to retrieve the desired results. + +6. `restaurant`: This agent takes latitude, longitude, and a miles radius as input and returns available Restaurants in that region within the given radius. It utilizes the mock data from `restaurant_data.py` to retrieve the desired results. + ## Getting Started 🚀 To use these agents, follow the steps below: @@ -18,8 +26,8 @@ Before running the agents, you need to obtain the required API keys: 1. Visit the OpenChargeMap API website: https://openchargemap.org/site/develop/api. 2. If you don't have an account, create one by signing up. -3. Once you are logged in, click on the MY PROFILE > my apps at the top. -4. Click on REGISTER AN APPLICATION button. +3. Once you are logged in, click on MY PROFILE > my apps at the top. +4. Click on the REGISTER AN APPLICATION button. 5. Fill out the required information in the form, including the purpose of using the API, and submit the request. 6. Once approved, you will see your `OPENCHARGEMAP_API_KEY` under MY API KEYS. @@ -31,32 +39,10 @@ Before running the agents, you need to obtain the required API keys: 4. Give your project a name and click "OK" to create the new project. 5. Your `GEOAPI_API_KEY` will be generated. Copy this key and keep it secure, as it will be used to access Geoapify Projects and other services. -### Step 2: Set Environment Variables 🌐 - -Create a `.env` file in the `mobility-integrations` directory and export the obtained API keys as environment variables: - -```bash -export OPENCHARGEMAP_API_KEY="{GET THE API KEY}" -export GEOAPI_API_KEY="{GET THE API KEY}" -``` - -### Step 3: Install Dependencies ⚙️ - -To use the environment variables from the `.env` file and install the project dependencies: - -```bash -source .env -poetry install -``` - -### Step 4: Run the Project 🏃 - -To run the project and its agents: - -```bash -cd src -poetry shell -python main.py -``` +#### GOOGLE_MAPS_API_KEY 🗺️ -Now you have the agents up and running to perform mobility integrations using the provided APIs. Happy integrating! 🎉 +1. Go to the Google Cloud Console: https://console.cloud.google.com/. +2. Create a new project or select an existing project from the top right corner. +3. In the left navigation, click on the "API & Services" > "Credentials" section. +4. Create a new API Key and restrict it to the Google Maps APIs you plan to use (e.g., Maps JavaScript API). +5. 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-[metadata] -lock-version = "2.0" -python-versions = ">=3.10,<3.12" -content-hash = "b6e63d5874fb83225381f0bfab340361b208cc223e69fa3872a63c6eccf1c046" diff --git a/integrations/mobility-integrations/project.json b/integrations/mobility-integrations/project.json index 974f58da..b4d251c7 100644 --- a/integrations/mobility-integrations/project.json +++ b/integrations/mobility-integrations/project.json @@ -1,5 +1,5 @@ { "title": "Mobility Integrations", - "description": "This contains examples of mobility integrations using two agents: `ev_charger` and `geoapi_car_parking`", + "description": "This contains examples of mobility integrations using few agents: `ev_charger` , `car_service` ,`car_wash`, `restaurants`, `geocode` and `geoapi_car_parking`", "categories": ["Mobility", "Geocoding"] } \ No newline at end of file diff --git a/integrations/mobility-integrations/pyproject.toml b/integrations/mobility-integrations/pyproject.toml deleted file mode 100644 index 55e090a1..00000000 --- a/integrations/mobility-integrations/pyproject.toml +++ /dev/null @@ -1,13 +0,0 @@ -[tool.poetry] -name = "mobility-integrations" -version = "0.1.0" -description = "A template for creating mobility integrations" -authors = ["Laxmikant Tripathi "] - -[tool.poetry.dependencies] -python = ">=3.10,<3.12" -uagents = "*" - -[build-system] -requires = ["poetry-core"] -build-backend = "poetry.core.masonry.api" diff --git a/integrations/mobility-integrations/src/__init__.py b/integrations/mobility-integrations/src/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/integrations/mobility-integrations/src/agents/__init__.py b/integrations/mobility-integrations/src/agents/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/integrations/mobility-integrations/src/agents/booking_protocol.py b/integrations/mobility-integrations/src/agents/booking_protocol.py new file mode 100644 index 00000000..b932c10c --- /dev/null +++ b/integrations/mobility-integrations/src/agents/booking_protocol.py @@ -0,0 +1,30 @@ +from ai_engine import UAgentResponse, UAgentResponseType, BookingRequest + + +def booking_proto(): + protocol = Protocol("BookingProtocol") + + @protocol.on_message(model=BookingRequest, replies={UAgentResponse}) + async def booking_handler(ctx: Context, sender: str, msg: BookingRequest): + ctx.logger.info(f"Received booking request from {sender}") + try: + option = ctx.storage.get(msg.request_id) + await ctx.send( + sender, + UAgentResponse( + message=f"Thanks for choosing an option - {option[msg.user_response]}.", + type=UAgentResponseType.FINAL, + request_id=msg.request_id + ) + ) + except Exception as exc: + ctx.logger.error(exc) + await ctx.send( + sender, + UAgentResponse( + message=str(exc), + type=UAgentResponseType.ERROR + ) + ) + + return protocol diff --git a/integrations/mobility-integrations/src/agents/car_service/car_service.py b/integrations/mobility-integrations/src/agents/car_service/car_service.py new file mode 100644 index 00000000..2c4ee341 --- /dev/null +++ b/integrations/mobility-integrations/src/agents/car_service/car_service.py @@ -0,0 +1,101 @@ +# Here we demonstrate how we can create a DeltaV compatible agent responsible for getting Car Service from Static Data. +# After running this agent, it can be registered to DeltaV on Agentverse's Services tab. For registration, +# you will have to use the agent's address. +# +# third party modules used in this example +import json +import uuid + +from ai_engine import KeyValue, UAgentResponse, UAgentResponseType +from pydantic import Field + +# modules from booking_protocol.py +from booking_protocol import booking_proto +from car_service_data import CAMBRIDGE_CAR_SERVICE, MUNICH_CAR_SERVICE, PRAGUE_CAR_SERVICE, STUTTGART_CAR_SERVICE + + +class CarServiceRequest(Model): + latitude: float = Field( + description="Describes the latitude where the user wants a Car Service Center. this shouldn't be the user " + "location, but location of the place user specified.") + longitude: float = Field( + description="Describes the longitude where the user wants a Car Service Center. this shouldn't be the user " + "location, but the location of the place the user specified.") + miles_radius: float = Field( + description="Distance in miles, the maximum distance b/w car service center and the location provided by user.") + + +car_service_center_protocol = Protocol("Car Service Center") + + +def get_data(latitude, longitude, miles_radius) -> list or None: + """ + Function to get the data from Car Service Center json + Args: + latitude (float): The latitude coordinate. + longitude (float): The longitude coordinate. + miles_radius (float): The radius in miles for searching Car Service Center. + Return: + list or None: A list of Car Service Center data. + """ + car_service_json = [] + if int(latitude) == 50 and int(longitude) == 14: + car_service_json = PRAGUE_CAR_SERVICE + elif int(latitude) == 48 and int(longitude) == 11: + car_service_json = MUNICH_CAR_SERVICE + elif int(latitude) == 52 and int(longitude) == 0: + car_service_json = CAMBRIDGE_CAR_SERVICE + else: + car_service_json = STUTTGART_CAR_SERVICE + response = car_service_json + return [ + car_service + for car_service in response + if car_service["distance"] <= miles_radius + ] + + +@car_service_center_protocol.on_message(model=CarServiceRequest, replies=UAgentResponse) +async def on_message(ctx: Context, sender: str, msg: CarServiceRequest): + ctx.logger.info(f"Received message from {sender}") + try: + data = get_data(msg.latitude, msg.longitude, msg.miles_radius) + request_id = str(uuid.uuid4()) + options = [] + ctx_storage = {} + for idx, o in enumerate(data): + option = f"""This is Car Service Center: {o['name']} which is located {o['distance']} miles away from your location """ + options.append(KeyValue(key=idx, value=option)) + ctx_storage[idx] = option + ctx.storage.set(request_id, ctx_storage) + if options: + await ctx.send( + sender, + UAgentResponse( + options=options, + type=UAgentResponseType.SELECT_FROM_OPTIONS, + request_id=request_id + ) + ) + else: + await ctx.send( + sender, + UAgentResponse( + message="No car service center are available for this context", + type=UAgentResponseType.FINAL, + request_id=request_id + ) + ) + except Exception as exc: + ctx.logger.error(exc) + await ctx.send( + sender, + UAgentResponse( + message=str(exc), + type=UAgentResponseType.ERROR + ) + ) + + +agent.include(car_service_center_protocol) +agent.include(booking_proto()) diff --git a/integrations/mobility-integrations/src/agents/car_service/car_service_data.py b/integrations/mobility-integrations/src/agents/car_service/car_service_data.py new file mode 100644 index 00000000..ba3d6f16 --- /dev/null +++ b/integrations/mobility-integrations/src/agents/car_service/car_service_data.py @@ -0,0 +1,168 @@ +CAMBRIDGE_CAR_SERVICE = [ + { + "name": "Halfords Autocentre", + "car_service_slot": "4", + "status": "reserved", + "latitude": 52.212930, + "longitude": 0.156800, + "distance": 1 + }, + { + "name": "National Tyres and Autocare", + "car_service_slot": "2", + "status": "free", + "latitude": 52.214740, + "longitude": 0.126480, + "distance": 1 + }, + { + "name": "Formula One Autocentres", + "car_service_slot": "1", + "status": "reserved", + "latitude": 52.208320, + "longitude": 0.134310, + "distance": 2 + }, + { + "name": "Rapid Fit", + "car_service_slot": "5", + "status": "free", + "latitude": 52.211210, + "longitude": 0.147250, + "distance": 3 + }, + { + "name": "Cambridge Garage", + "car_service_slot": "4", + "status": "free", + "latitude": 52.205840, + "longitude": 0.163650, + "distance": 4 + } +] +MUNICH_CAR_SERVICE = [ + { + "name": "Autohaus Bader GmbH", + "car_service_slot": "4", + "status": "reserved", + "latitude": 48.190000, + "longitude": 11.518410, + "distance": 1 + }, + { + "name": "BMW AG Niederlassung München", + "car_service_slot": "2", + "status": "free", + "latitude": 48.188019, + "longitude": 11.574240, + "distance": 1 + }, + { + "name": "Audi Zentrum München", + "car_service_slot": "1", + "status": "reserved", + "latitude": 48.118580, + "longitude": 11.540230, + "distance": 2 + }, + { + "name": "Mercedes-Benz Niederlassung München", + "car_service_slot": "5", + "status": "free", + "latitude": 48.141230, + "longitude": 11.412370, + "distance": 3 + }, + { + "name": "Volkswagen Zentrum München", + "car_service_slot": "4", + "status": "free", + "latitude": 48.141230, + "longitude": 11.412370, + "distance": 4 + } +] +PRAGUE_CAR_SERVICE = [ + { + "name": "Autohaus Bader GmbH", + "car_service_slot": "4", + "status": "reserved", + "latitude": 48.190000, + "longitude": 11.518410, + "distance": 1 + }, + { + "name": "BMW AG Niederlassung München", + "car_service_slot": "2", + "status": "free", + "latitude": 48.188019, + "longitude": 11.574240, + "distance": 1 + }, + { + "name": "Audi Zentrum München", + "car_service_slot": "1", + "status": "reserved", + "latitude": 48.118580, + "longitude": 11.540230, + "distance": 2 + }, + { + "name": "Mercedes-Benz Niederlassung München", + "car_service_slot": "5", + "status": "free", + "latitude": 48.141230, + "longitude": 11.412370, + "distance": 3 + }, + { + "name": "Volkswagen Zentrum München", + "car_service_slot": "4", + "status": "free", + "latitude": 48.141230, + "longitude": 11.412370, + "distance": 4 + } +] +STUTTGART_CAR_SERVICE = [ + { + "name": "A.T.U Auto-Teile-Unger", + "car_service_slot": "4", + "status": "reserved", + "latitude": 48.783333, + "longitude": 9.183333, + "distance": 1 + }, + { + "name": "Pneuhage Reifendienste", + "car_service_slot": "2", + "status": "free", + "latitude": 48.755749, + "longitude": 9.190182, + "distance": 1 + }, + { + "name": "Reifen Wagner GmbH", + "car_service_slot": "1", + "status": "reserved", + "latitude": 48.838140, + "longitude": 9.190880, + "distance": 2 + }, + { + "name": "Pneuhage Reifendienste", + "car_service_slot": "5", + "status": "free", + "latitude": 48.726530, + "longitude": 9.145400, + "distance": 3 + }, + { + "name": "Kfz-Werkstatt Lueg GmbH", + "car_service_slot": "4", + "status": "free", + "latitude": 48.767830, + "longitude": 9.169160, + "distance": 4 + } +] diff --git a/integrations/mobility-integrations/src/agents/car_wash/car_wash.py b/integrations/mobility-integrations/src/agents/car_wash/car_wash.py new file mode 100644 index 00000000..9d1ad1ca --- /dev/null +++ b/integrations/mobility-integrations/src/agents/car_wash/car_wash.py @@ -0,0 +1,110 @@ +# Here we demonstrate how we can create a DeltaV compatible agent responsible for getting Car Wash from Static Data. +# After running this agent, it can be registered to DeltaV on Agentverse's Services tab. For registration, +# you will have to use the agent's address. +# +# third party modules used in this example +import uuid + +from ai_engine import KeyValue, UAgentResponse, UAgentResponseType +from pydantic import Field + +# modules from booking_protocol.py +from booking_protocol import booking_proto +from car_wash_data import MUNICH_CAR_WASH, STUTTGART_CAR_WASH, PRAGUE_CAR_WASH + + +class CarWashRequest(Model): + latitude: float = Field(description="Describes the latitude where the user wants a Car Wash. If a user specified " + "a location, the location MUST be the one specified by the user.") + longitude: float = Field(description="Describes the longitude where the user wants a Car Wash. If a user " + "specified a location, the location MUST be the one specified by the user.") + miles_radius: float = Field(description="Distance in miles, the maximum distance b/w car wash and the location " + "provided by user.") + price: int = Field(description="Describe the maximum Price in euros for car Wash.") + additional_amenities: Optional[str] = Field(description="This field describes the additional amenities, " + "for example: Handwash, Machine wash, Lounge Area, " + "Air Fresheners. Users don’t select any amenities then it " + "should be None.") + + +car_wash_protocol = Protocol("Car Wash") + + +additional_amenities = ['handwash', 'machine wash', 'lounge area', 'air fresheners'] +def get_data(latitude, longitude, miles_radius, price, amenities) -> list or None: + car_wash_json = [] + if int(latitude) == 50 and int(longitude) == 14: + car_wash_json = PRAGUE_CAR_WASH + elif int(latitude) == 48 and int(longitude) == 11: + car_wash_json = MUNICH_CAR_WASH + elif int(latitude) == 52 and int(longitude) == 0: + car_wash_json = STUTTGART_CAR_WASH + else: + return [] + + response = car_wash_json + if amenities == None: + amenities='' + if amenities.lower() not in additional_amenities: + return [ + car_wash + for car_wash in response + if car_wash["distance"] <= miles_radius + and car_wash["price"] <= price + ] + else: + return [ + car_wash + for car_wash in response + if car_wash["distance"] <= miles_radius + and car_wash["price"] <= price + and car_wash["additional_amenities"] == amenities + ] + + +@car_wash_protocol.on_message(model=CarWashRequest, replies=UAgentResponse) +async def on_message(ctx: Context, sender: str, msg: CarWashRequest): + ctx.logger.info(f"Received message from {sender}.") + try: + data = get_data(msg.miles_radius, msg.additional_amenities, msg.price) + request_id = str(uuid.uuid4()) + options = [] + ctx_storage = {} + for idx, o in enumerate(data): + option = f"""● This is Car Wash: {o['name']} which is located at {o['distance']} miles away from the location + \n● Price is €{o["price"]}\n● Additional amenity is {o["additional_amenities"]} """ + options.append(KeyValue(key=idx, value=option)) + ctx_storage[idx] = option + ctx.storage.set(request_id, ctx_storage) + if options: + await ctx.send( + sender, + UAgentResponse( + options=options, + type=UAgentResponseType.SELECT_FROM_OPTIONS, + request_id=request_id + ) + ) + else: + await ctx.send( + sender, + UAgentResponse( + message="No car wash are available for this context", + type=UAgentResponseType.FINAL, + request_id=request_id + ) + ) + + except Exception as exc: + ctx.logger.error(exc) + await ctx.send( + sender, + UAgentResponse( + message=str(exc), + type=UAgentResponseType.ERROR + ) + ) + + +agent.include(car_wash_protocol) +agent.include(booking_proto()) diff --git a/integrations/mobility-integrations/src/agents/car_wash/car_wash_data.py b/integrations/mobility-integrations/src/agents/car_wash/car_wash_data.py new file mode 100644 index 00000000..ed31dc82 --- /dev/null +++ b/integrations/mobility-integrations/src/agents/car_wash/car_wash_data.py @@ -0,0 +1,188 @@ +CAMBRIDGE_CAR_WASH = [ + { + "name": "Waves Car Wash Cambridge", + "availaible_slots": "1", + "latitude": 52.208860, + "longitude": 0.143030, + "distance": 0.1, + "price": 15, + "additional_amenities": "Handwash" + }, + { + "name": "BP Car Wash", + "availaible_slots": "3", + "latitude": 52.212930, + "longitude": 0.156800, + "distance": 0.9, + "price": 9, + "additional_amenities": "Machine wash" + }, + { + "name": "Total Service Station", + "availaible_slots": "4", + "latitude": 52.219120, + "longitude": 0.111400, + "distance": 3, + "price": 10, + "additional_amenities": "Machine wash" + }, + { + "name": "Tesco Hand Car Wash", + "availaible_slots": "2", + "latitude": 52.212930, + "longitude": 0.156800, + "distance": 3.5, + "price": 21, + "additional_amenities": "Lounge Area" + }, + { + "name": "BP Hardwick Services", + "availaible_slots": "2", + "latitude": 52.195200, + "longitude": -0.000310, + "distance": 7, + "price": 25, + "additional_amenities": "Air Fresheners" + } +] +MUNICH_CAR_WASH = [ + { + "name": "HappyWash", + "availaible_slots": "1", + "latitude": 48.141960, + "longitude": 11.420440, + "distance": 0.1, + "price": 15, + "additional_amenities": "Handwash" + }, + { + "name": "Car Wash Center GmbH", + "availaible_slots": "3", + "latitude": 48.145330, + "longitude": 11.483590, + "distance": 0.9, + "price": 9, + "additional_amenities": "Machine wash" + }, + { + "name": "Erdinger Autopflege Center", + "availaible_slots": "4", + "latitude": 48.171260, + "longitude": 11.719410, + "distance": 3, + "price": 10, + "additional_amenities": "Machine wash" + }, + { + "name": "Muenchen Bogenhausen Car Wash", + "availaible_slots": "2", + "latitude": 48.154080, + "longitude": 11.615290, + "distance": 3.5, + "price": 21, + "additional_amenities": "Lounge Area" + }, + { + "name": "CleanCar AG", + "availaible_slots": "2", + "latitude": 48.132860, + "longitude": 11.692960, + "distance": 7, + "price": 25, + "additional_amenities": "Air Fresheners" + } +] +PRAGUE_CAR_WASH = [ + { + "name": "HappyWash", + "availaible_slots": "1", + "latitude": 48.141960, + "longitude": 11.420440, + "distance": 0.1, + "price": 15, + "additional_amenities": "Handwash" + }, + { + "name": "Car Wash Center GmbH", + "availaible_slots": "3", + "latitude": 48.145330, + "longitude": 11.483590, + "distance": 0.9, + "price": 9, + "additional_amenities": "Machine wash" + }, + { + "name": "Erdinger Autopflege Center", + "availaible_slots": "4", + "latitude": 48.171260, + "longitude": 11.719410, + "distance": 3, + "price": 10, + "additional_amenities": "Machine wash" + }, + { + "name": "Muenchen Bogenhausen Car Wash", + "availaible_slots": "2", + "latitude": 48.154080, + "longitude": 11.615290, + "distance": 3.5, + "price": 21, + "additional_amenities": "Lounge Area" + }, + { + "name": "CleanCar AG", + "availaible_slots": "2", + "latitude": 48.132860, + "longitude": 11.692960, + "distance": 7, + "price": 25, + "additional_amenities": "Air Fresheners" + } +] +STUTTGART_CAR_WASH = [ + { + "name": "CleanCar AG", + "availaible_slots": "1", + "latitude": 48.760820, + "longitude": 9.256060, + "distance": 0.1, + "price": 15, + "additional_amenities": "Handwash" + }, + { + "name": "Esso Car Wash", + "availaible_slots": "3", + "latitude": 48.741230, + "longitude": 9.154470, + "distance": 0.9, + "price": 9, + "additional_amenities": "Machine wash" + }, + { + "name": "TOTAL", + "availaible_slots": "4", + "latitude": 48.796980, + "longitude": 9.189560, + "distance": 3, + "price": 10, + "additional_amenities": "Machine wash" + }, + { + "name": "Waschbär Car Wash", + "availaible_slots": "2", + "latitude": 48.837270, + "longitude": 9.162230, + "distance": 3.5, + "price": 21, + "additional_amenities": "Lounge Area" + }, + { + "name": "Tankhof Birkach", + "availaible_slots": "2", + "latitude": 48.736930, + "longitude": 9.214740, + "distance": 7, + "price": 25, + "additional_amenities": "Air Fresheners" + } +] diff --git a/integrations/mobility-integrations/src/agents/ev_charger/__init__.py b/integrations/mobility-integrations/src/agents/ev_charger/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/integrations/mobility-integrations/src/agents/ev_charger/ev_charger.py b/integrations/mobility-integrations/src/agents/ev_charger/ev_charger.py index 520d7786..a94d1b9c 100644 --- a/integrations/mobility-integrations/src/agents/ev_charger/ev_charger.py +++ b/integrations/mobility-integrations/src/agents/ev_charger/ev_charger.py @@ -1,76 +1,103 @@ -import os +# Here we demonstrate how we can create a DeltaV compatible agent responsible for getting EV Chargers from the open +# chargemap API. After running this agent, it can be registered to DeltaV on Agentverse's Services tab. For +# registration, you will have to use the agent's address. +# +# third party modules used in this example import uuid - import requests -from messages import EVRequest, KeyValue, UAgentResponse, UAgentResponseType -from uagents import Agent, Context, Protocol -from uagents.setup import fund_agent_if_low +from ai_engine import KeyValue, UAgentResponse, UAgentResponseType +from pydantic import Field + +# modules from booking_protocol.py +from booking_protocol import booking_proto + + +class EvRequest(Model): + latitude: float = Field( + description="Describes the latitude where the user wants an EV charger. This might not be the user current " + "location, if user specified a specific location on the objective.") + longitude: float = Field( + description="Describes the longitude where the user wants an EV charger. This might not be the user current " + "location, if user specified a specific location on the objective.") + miles_radius: float = Field( + description="Distance in miles, the maximum distance b/w ev charger and the location provided by user") -EV_SEED = os.getenv("EV_SEED", "ev charger service secret phrase") -agent = Agent( - name="ev_adaptor", - seed=EV_SEED, -) +# To use this example, you will need to provide an API key for Openchargemap: https://api.openchargemap.io/ +URL = "https://api.openchargemap.io/v3/poi?" -fund_agent_if_low(agent.wallet.address()) +API_KEY = "YOUR_API_KEY" -OPENCHARGEMAP_API_KEY = os.environ.get("OPENCHARGEMAP_API_KEY", "") +if API_KEY == "YOUR_API_KEY": + raise Exception("You need to provide an API key for Openchargemap to use this example") -assert ( - OPENCHARGEMAP_API_KEY -), "OPENCHARGEMAP_API_KEY environment variable is missing from .env" +MAX_RESULTS = 10 -OPENCHARGEMAP_API_URL = "https://api.openchargemap.io/v3/poi?" -MAX_RESULTS = 100 +ev_charger_protocol = Protocol("EVCharger") -def get_ev_chargers(latitude: float, longitude: float, miles_radius: float) -> list: - """Return ev chargers available within given miles_readius of the latiture and longitude. - this information is being retrieved from https://api.openchargemap.io/v3/poi? API +def get_data(latitude, longitude, miles_radius) -> list or None: """ - response = requests.get( - url=OPENCHARGEMAP_API_URL - + f"maxresults={MAX_RESULTS}&latitude={latitude}&longitude={longitude}&distance={miles_radius}", - headers={"x-api-key": OPENCHARGEMAP_API_KEY}, - timeout=5, + Retrieves data from the open chargemap API for EV chargers. + Args: + latitude (float): The latitude coordinate. + longitude (float): The longitude coordinate. + miles_radius (float): The radius in miles for searching EV chargers. + Returns: + list or None: A list of EV charger data if successful, or None if the request fails. + """ + ev_charger_url = ( + URL + + f"maxresults={MAX_RESULTS}&latitude={latitude}&longitude={longitude}&distance={miles_radius}" ) + response = requests.get(url=ev_charger_url, headers={"x-api-key": API_KEY}, timeout=5) if response.status_code == 200: - return response.json() + data = response.json() + return data return [] -ev_chargers_protocol = Protocol("EvChargers") - - -@ev_chargers_protocol.on_message(model=EVRequest, replies=UAgentResponse) -async def ev_chargers(ctx: Context, sender: str, msg: EVRequest): - ctx.logger.info(f"Received message from {sender}") +@ev_charger_protocol.on_message(model=EvRequest, replies=UAgentResponse) +async def on_message(ctx: Context, sender: str, msg: EvRequest): + ctx.logger.info(f"Received message from {sender}.") try: - ev_chargers = get_ev_chargers(msg.latitude, msg.longitude, msg.miles_radius) + data = get_data(msg.latitude, msg.longitude, msg.miles_radius) request_id = str(uuid.uuid4()) - conn_types = [] options = [] - for idx, ev_station in enumerate(ev_chargers): - for conn in ev_station["Connections"]: - conn_types.append(conn["ConnectionType"]["Title"]) - conn_type_str = ", ".join(conn_types) - option = f"""● EV charger: {ev_station['AddressInfo']['Title']} , located {round(ev_station['AddressInfo']['Distance'], 2)} miles from your location\n● Usage cost {ev_station['UsageCost']};\n● Type - {conn_type_str}""" - + ctx_storage = {} + for idx, o in enumerate(data): + option = f"""● {o['AddressInfo']['Title']} , which is located {round(o['AddressInfo']['Distance'], 2)} miles from the location.""" options.append(KeyValue(key=idx, value=option)) - await ctx.send( - sender, - UAgentResponse( - options=options, - type=UAgentResponseType.SELECT_FROM_OPTIONS, - request_id=request_id, - ), - ) + ctx_storage[idx] = option + ctx.storage.set(request_id, ctx_storage) + if options: + await ctx.send( + sender, + UAgentResponse( + options=options, + type=UAgentResponseType.SELECT_FROM_OPTIONS, + request_id=request_id + ), + ) + else: + await ctx.send( + sender, + UAgentResponse( + message="No ev chargers are available for this context", + type=UAgentResponseType.FINAL, + request_id=request_id + ), + ) except Exception as exc: ctx.logger.error(exc) await ctx.send( - sender, UAgentResponse(message=str(exc), type=UAgentResponseType.ERROR) + sender, + UAgentResponse( + message=str(exc), + type=UAgentResponseType.ERROR + ) ) -agent.include(ev_chargers_protocol) +agent.include(ev_charger_protocol) +agent.include(booking_proto()) diff --git a/integrations/mobility-integrations/src/agents/geocode/geocode.py b/integrations/mobility-integrations/src/agents/geocode/geocode.py new file mode 100644 index 00000000..435a6e27 --- /dev/null +++ b/integrations/mobility-integrations/src/agents/geocode/geocode.py @@ -0,0 +1,85 @@ +# Here we demonstrate how we can create a DeltaV compatible agent responsible for getting Geo Coordinates from the +# Google Map API. After running this agent, it can be registered to DeltaV on Agentverse's Services tab. For +# registration, you will have to use the agent's address. +# +# third party modules used in this example +import uuid +from typing import Tuple +import requests +from ai_engine import UAgentResponse, UAgentResponseType +from pydantic import Field + + +class GeoCode(Model): + address: str = Field(description="Address of a location to find lat and long of.") + + +URL = "https://maps.googleapis.com/maps/api/geocode/json" + +API_KEY = "YOUR_API_KEY" + +if API_KEY == "YOUR_API_KEY": + raise Exception("You need to provide an API key for Google Maps API to use this example") + +geocode_protocol = Protocol("GeoCode") + + +def get_data(address: str) -> Tuple or None: + """ + Returns the latitude and longitude of a location using the Google Maps Geocoding API. + Args: + address (str): The address of the location. + Returns: + tuple: A tuple containing the latitude and longitude of the location. + """ + query_params = {"key": f"{API_KEY}", "address": f"{address}"} + response = requests.get(URL, params=query_params) + data = response.json() + if data['status'] == 'OK': + latitude = data['results'][0]['geometry']['location']['lat'] + longitude = data['results'][0]['geometry']['location']['lng'] + return latitude, longitude + else: + return None + + +@geocode_protocol.on_message(model=GeoCode, replies=UAgentResponse) +async def on_message(ctx: Context, sender: str, msg: GeoCode): + ctx.logger.info(f"Received message from {sender}.") + try: + data = get_data(msg.address) + request_id = str(uuid.uuid4()) + latitude, longitude = data + option = f"""Location for {msg.address} is: \nlatitude={latitude}, longitude={longitude}""" + ctx.storage.set(request_id, option) + if latitude and longitude: + await ctx.send( + sender, + UAgentResponse( + message=option, + type=UAgentResponseType.FINAL, + request_id=request_id + ), + ) + else: + await ctx.send( + sender, + UAgentResponse( + message="No geo coordinates are available for this context", + type=UAgentResponseType.FINAL, + request_id=request_id + ), + ) + + except Exception as exc: + ctx.logger.error(exc) + await ctx.send( + sender, + UAgentResponse( + message=str(exc), + type=UAgentResponseType.ERROR + ) + ) + + +agent.include(geocode_protocol) diff --git a/integrations/mobility-integrations/src/agents/geopy_car_parking/__init__.py b/integrations/mobility-integrations/src/agents/geopy_car_parking/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/integrations/mobility-integrations/src/agents/geopy_car_parking/geopy_car_parking.py b/integrations/mobility-integrations/src/agents/geopy_car_parking/geopy_car_parking.py index bb631f18..971e7c65 100644 --- a/integrations/mobility-integrations/src/agents/geopy_car_parking/geopy_car_parking.py +++ b/integrations/mobility-integrations/src/agents/geopy_car_parking/geopy_car_parking.py @@ -1,123 +1,144 @@ -import os +# Here we demonstrate how we can create a DeltaV compatible agent responsible for getting Car Parking from Geoapify +# API. After running this agent, it can be registered to DeltaV on Agentverse's Services tab. For registration, +# you will have to use the agent's address. +# +# third party modules used in this example import uuid import requests -from messages import GeoParkingRequest, KeyValue, UAgentResponse, UAgentResponseType -from uagents import Agent, Context, Protocol -from uagents.setup import fund_agent_if_low +from ai_engine import UAgentResponse, UAgentResponseType, KeyValue +from pydantic import Field -GEOAPI_PARKING_SEED = os.getenv( - "GEOAPI_PARKING_SEED", "geoapi parking adaptor agent secret phrase" -) -agent = Agent(name="geoapi_parking_adaptor", seed=GEOAPI_PARKING_SEED) -geoapi_parking_protocol = Protocol("Geoapi CarParking") +# modules from booking_protocol.py +from booking_protocol import booking_proto -fund_agent_if_low(agent.wallet.address()) -GEOAPI_API_KEY = os.getenv("GEOAPI_API_KEY", "") +class GeoParkingRequest(Model): + latitude: float = Field( + description="Describes the latitude where the user wants a Car parking. this shouldn't be the user location, " + "but location of the place user specified") + longitude: float = Field( + description="Describes the longitude where the user wants a Car parking. this shouldn't be the user location, " + "but the location of the place the user specified.") + radius: int = Field( + description="Distance in miles, the maximum distance b/w car parking and the location provided by user") + max_result: int = Field(description="Number of Parking Names, that user wants.") -assert GEOAPI_API_KEY, "GEOAPI_API_KEY environment variable is missing from .env" -PARKING_API_URL = "https://api.geoapify.com/v2/places?" +# To use this example, you will need to provide an API key for Google Maps: https://developers.google.com/maps +URL = "https://api.geoapify.com/v2/places?" +API_KEY = "YOUR_API_KEY" -def format_parking_data(api_response) -> list: +if API_KEY == "YOUR_API_KEY": + raise Exception("You need to provide an API key for Google Maps to use this example") + +MAX_RESULTS = 10 + +parking_protocol_geoapi = Protocol("Geoapi CarParking") + + +def reform_data(api_response): """ - By taking the response from the API, this function formats the response - to be appropriate for displaying back to the user. + Reforms the Api Response into Options for Sending o Delta V. + Args: + api_response (Dict): Api Response From Geoapify API + Returns: + list or None: A list of Parking Space data if API is successful. """ - parking_data = [] - parking_name = "Unknown Parking" + refactored_data = [] + parking_name = "Unknown" parking_capacity = "" for place in api_response["features"]: - if "name" in place["properties"]: - parking_name = place["properties"]["name"] - address = place["properties"]["formatted"].split(",")[1::] + if 'name' in place['properties']: + parking_name = place['properties']['name'] + address = place['properties']['formatted'].split(",")[1::] parking_address = "".join(list(address)) - elif "formatted" in place["properties"]: - parking_address = place["properties"]["formatted"] + elif 'formatted' in place['properties']: + parking_address = place['properties']['formatted'] else: continue - if "capacity" in place["properties"]["datasource"]["raw"]: - parking_capacity = ( - f'{place["properties"]["datasource"]["raw"]["capacity"]} spaces' - ) - elif "parking" in place["properties"]["datasource"]["raw"]: - parking_capacity = ( - f'{place["properties"]["datasource"]["raw"]["parking"]} parking' - ) - elif ( - "access" in place["properties"]["datasource"]["raw"] - and place["properties"]["datasource"]["raw"]["access"] != "yes" - ): + if 'capacity' in place['properties']['datasource']['raw']: + parking_capacity = str(place['properties']['datasource']['raw']['capacity']) + " spaces" + elif 'parking' in place['properties']['datasource']['raw']: + parking_capacity = place['properties']['datasource']['raw']['parking'] + " parking" + elif 'access' in place['properties']['datasource']['raw'] and place['properties']['datasource']['raw'][ + 'access'] != 'yes': continue - parking_data.append( - f"""● Car Parking: {parking_name} has {parking_capacity} at {parking_address}""" - ) - return parking_data + refactored_data.append(f"""● This is Car Parking: {parking_name} has {parking_capacity} at {parking_address}""") + return refactored_data -def get_parking_from_api(latitude, longitude, radius, max_r) -> list: +def get_data(latitude, longitude, miles_radius) -> list or None: """ - With all the user preferences, this function sends the request to the Geoapify Parking API, - which returns the response. + Retrieves data from the Geoapify API for Car Parking. + Args: + latitude (float): The latitude coordinate. + longitude (float): The longitude coordinate. + miles_radius (float): The radius in miles for searching EV chargers. + Returns: + list or None: A list of Car Parking data if successful, or None if the request fails. """ try: response = requests.get( - url=f"{PARKING_API_URL}categories=parking&filter=circle:{longitude},{latitude},{radius}&bias=proximity:{longitude},{latitude}&limit={max_r}&apiKey={GEOAPI_API_KEY}", + url=f"{URL}categories=parking&filter=circle:{longitude},{latitude},{miles_radius}&bias=proximity:{longitude},{latitude}&limit={MAX_RESULTS}&apiKey={API_KEY}", timeout=60, ) - return response.json() - except Exception as exc: - print("Error: ", exc) - return [] + if response.status_code == 200: + data = response.json() + return reform_data(data) + else: + return None + except requests.Timeout as e: + print("Request timed out. Check your internet connection or try again later.", str(e)) + except requests.RequestException as e: + print("An error occurred during the request:", str(e)) + except Exception as e: + print("An unexpected error occurred:", str(e)) -@geoapi_parking_protocol.on_message(model=GeoParkingRequest, replies=UAgentResponse) -async def geoapi_parking(ctx: Context, sender: str, msg: GeoParkingRequest): - """ - The function takes the request to search for parking in any location based on user preferences - and returns the formatted response to TAGI. - """ +@parking_protocol_geoapi.on_message(model=GeoParkingRequest, replies=UAgentResponse) +async def on_message(ctx: Context, sender: str, msg: GeoParkingRequest): ctx.logger.info(f"Received message from {sender}") try: - radius_in_meter = msg.radius * 1609 - response = get_parking_from_api( - msg.latitude, msg.longitude, radius_in_meter, msg.max_result - ) # Sending user preferences to find nearby parking spaces. - response = format_parking_data( - response - ) # Sending the API response to be made appropriate to users. + radius_mtr = (msg.radius * 1609) + response = get_data(msg.latitude, msg.longitude, radius_mtr) request_id = str(uuid.uuid4()) - if len(response) > 1: - option = f"""Here is the list of some Parking spaces nearby:\n""" - idx = "" - options = [KeyValue(key=idx, value=option)] - for parking in response: - option = parking - options.append(KeyValue(key=idx, value=option)) + options = [] + ctx_storage = {} + for idx, parking in enumerate(response): + option = parking + options.append(KeyValue(key=idx, value=option)) + ctx_storage[idx] = option + ctx.storage.set(request_id, ctx_storage) + if options: await ctx.send( sender, UAgentResponse( options=options, type=UAgentResponseType.SELECT_FROM_OPTIONS, - request_id=request_id, - ), - ) # Sending the response bach to users. + request_id=request_id + ) + ) else: await ctx.send( sender, UAgentResponse( - message="No options available for this context", + message="No options are available for this context", type=UAgentResponseType.FINAL, - request_id=request_id, - ), + request_id=request_id + ) ) except Exception as exc: ctx.logger.error(exc) await ctx.send( - sender, UAgentResponse(message=str(exc), type=UAgentResponseType.ERROR) + sender, + UAgentResponse( + message=str(exc), + type=UAgentResponseType.ERROR + ) ) -agent.include(geoapi_parking_protocol) +agent.include(parking_protocol_geoapi) +agent.include(booking_proto()) diff --git a/integrations/mobility-integrations/src/agents/restaurant/restaurant.py b/integrations/mobility-integrations/src/agents/restaurant/restaurant.py new file mode 100644 index 00000000..da713fab --- /dev/null +++ b/integrations/mobility-integrations/src/agents/restaurant/restaurant.py @@ -0,0 +1,91 @@ +# Here we demonstrate how we can create a DeltaV compatible agent responsible for finding a nearby restaurant based +# on a location given by the user. After running this agent, it can be registered to DeltaV on Agentverse's Services +# tab. For registration, you will have to use the agent's address. +# +# third party modules used in this example +import uuid + +from ai_engine import KeyValue +from ai_engine import UAgentResponse, UAgentResponseType +from pydantic import Field + +# placeholder for a function that can retrieve real up-to-date restaurant data +from restaurant_data import PRAGUE_RESTAURANT, MUNICH_RESTAURANT, STUTTGART_RESTAURANT +# modules from booking_protocol.py +from booking_protocol import booking_proto + +restaurant_protocol = Protocol("Restaurants") + + +class Restaurant(Model): + latitude: float = Field(description="Describes the latitude where the user wants a restaurant. This might not " + "be the user current location, if user specified a specific location on the" + " objective.") + longitude: float = Field( + description="Describes the longitude where the user wants a restaurant. This might not be the user current " + "location, if user specified a specific location on the objective.") + miles_radius: float = Field( + description="Distance in miles, the maximum distance b/w restaurant and the location provided by user.") + additional_amenities: Optional[str] = Field( + description="This field describes the cuisine type, for example: Italian, Chinese, Mexican, Lebanese,Vegan," + "Vegetarian. Defaults to Italian.") + cuisine_type: Optional[str] = Field( + description="This field describes the additional amenities, for example: Online Ordering, Private Dining " + "Rooms, Special Dietary Menus, Outdoor Seating. Defaults to Online Ordering.") + + + +cuisine_types = ['italian', 'chinese', 'vegan', 'lebanese'] +additonal_amenties = ['online ordering', 'private dining Rooms', 'special dietary menus', 'outdoor seating'] +removed_items = ["undefined", "unknown", "none", "null", ""] +def get_data(latitude, longitude, miles_radius, amenities=None, cuisine=None) -> list or None: + restaurants_json = [] + if int(latitude) == 50 and int(longitude) == 14: + restaurants_json = PRAGUE_RESTAURANT + elif int(latitude) == 48 and int(longitude) == 11: + restaurants_json = MUNICH_RESTAURANT + elif int(latitude) == 48 and int(longitude) == 9: + restaurants_json = STUTTGART_RESTAURANT + else: + return [] + if amenities is None: + amenities = "" + if cuisine is None: + cuisine = "" + + data = restaurants_json + response = [restaurant for restaurant in data if (not miles_radius or restaurant["distance"] <= miles_radius) and (amenities.lower() in removed_items or restaurant["additional_amenities"].lower() == amenities.lower()) and (cuisine.lower() in removed_items or restaurant["cuisine_type"].lower() == cuisine.lower())] + return response + + +@restaurant_protocol.on_message(model=Restaurant, replies=UAgentResponse) +async def on_message(ctx: Context, sender: str, msg: Restaurant): + ctx.logger.info(f"Received message from {sender}.") + try: + data = get_data(msg.miles_radius, msg.additional_amenities, msg.cuisine_type) + request_id = str(uuid.uuid4()) + options = [] + ctx_storage = {} + for idx, o in enumerate(data): + option = f"""● This is Restaurant: {o['name']} which is located {o['distance']} miles away from location + ● Additional amenity is {o["additional_amenities"]} ● Cuisine type is {o["cuisine_type"]}""" + options.append(KeyValue(key=idx, value=option)) + ctx_storage[idx] = option + ctx.storage.set(request_id, ctx_storage) + if options: + await ctx.send(sender, + UAgentResponse(options=options, type=UAgentResponseType.SELECT_FROM_OPTIONS, + request_id=request_id)) + else: + await ctx.send(sender, + UAgentResponse(message="No restaurant are available for this context", + type=UAgentResponseType.FINAL, + request_id=request_id)) + + except Exception as exc: + ctx.logger.error(exc) + await ctx.send(sender, UAgentResponse(message=str(exc), type=UAgentResponseType.ERROR)) + + +agent.include(restaurant_protocol) +agent.include(booking_proto) diff --git a/integrations/mobility-integrations/src/agents/restaurant/restaurant_data.py b/integrations/mobility-integrations/src/agents/restaurant/restaurant_data.py new file mode 100644 index 00000000..7bd1dfd4 --- /dev/null +++ b/integrations/mobility-integrations/src/agents/restaurant/restaurant_data.py @@ -0,0 +1,392 @@ +CAMBRIDGE_RESTAURANT = [ + { + "name": "Midsummer House", + "available_table": "2", + "status": "free", + "latitude": 52.212910, + "longitude": 0.128720, + "distance": 0.2, + "additional_amenities": "Online Ordering", + "cuisine_type": "Italian", + "rating": "3.5 star", + "dietary_restrictions": "Vegetarian" + }, + { + "name": "Fitzbillies", + "available_table": "3", + "status": "free", + "latitude": 52.201950, + "longitude": 0.118150, + "distance": 0.9, + "additional_amenities": "Online Ordering", + "cuisine_type": "Chinese", + "rating": "3 star", + "dietary_restrictions": "Vegetarian" + }, + { + "name": "The Eagle", + "available_table": "4", + "status": "free", + "latitude": 52.203900, + "longitude": 0.117920, + "distance": 3, + "additional_amenities": "Private Dining Rooms", + "cuisine_type": "Italian", + "rating": "4.5 star", + "dietary_restrictions": "Gluten Free" + }, + { + "name": "La Margherita", + "available_table": "2", + "status": "free", + "latitude": 52.210640, + "longitude": 0.115210, + "distance": 4, + "additional_amenities": "Private Dining Rooms", + "cuisine_type": "Chinese", + "rating": "3 star", + "dietary_restrictions": "Gluten Free" + }, + { + "name": "Cotto", + "available_table": "2", + "status": "free", + "latitude": 52.205420, + "longitude": 0.134460, + "distance": 5, + "additional_amenities": "Special Dietary Menus", + "cuisine_type": "Vegetarian", + "rating": "5 star", + "dietary_restrictions": "Vegan" + }, + { + "name": "St. John's Chop House", + "available_table": "2", + "status": "free", + "latitude": 52.210730, + "longitude": 0.115020, + "distance": 2, + "additional_amenities": "Special Dietary Menus", + "cuisine_type": "Vegan", + "rating": "4.5 star", + "dietary_restrictions": "Vegan" + }, + { + "name": "Navadhanya", + "available_table": "2", + "status": "free", + "latitude": 52.208470, + "longitude": 0.136110, + "distance": 2.2, + "additional_amenities": "Outdoor Seating", + "cuisine_type": "Italian", + "rating": "5 star", + "dietary_restrictions": "Dairy Free" + }, + { + "name": "The Oak Bistro", + "available_table": "2", + "status": "free", + "latitude": 52.199340, + "longitude": 0.127240, + "distance": 2.2, + "additional_amenities": "Outdoor Seating", + "cuisine_type": "Lebanese", + "rating": "4 star", + "dietary_restrictions": "Dairy Free" + } +] +MUNICH_RESTAURANT = [ + { + "name": "Hofbräuhaus München", + "available_table": "2", + "status": "free", + "latitude": 48.137664, + "longitude": 11.579376, + "distance": 0.2, + "additional_amenities": "Online Ordering", + "cuisine_type": "Italian", + "rating": "3.5 star", + "dietary_restrictions": "Vegetarian" + }, + { + "name": "Augustiner-Keller", + "available_table": "3", + "status": "free", + "latitude": 48.137154, + "longitude": 11.576124, + "distance": 0.9, + "additional_amenities": "Online Ordering", + "cuisine_type": "Chinese", + "rating": "3 star", + "dietary_restrictions": "Vegetarian" + }, + { + "name": "Schneider Bräuhaus", + "available_table": "4", + "status": "free", + "latitude": 48.136490, + "longitude": 11.578500, + "distance": 3, + "additional_amenities": "Private Dining Rooms", + "cuisine_type": "Italian", + "rating": "4.5 star", + "dietary_restrictions": "Gluten Free" + }, + { + "name": "Andechser am Dom", + "available_table": "2", + "status": "free", + "latitude": 48.115000, + "longitude": 11.576100, + "distance": 4, + "additional_amenities": "Private Dining Rooms", + "cuisine_type": "Chinese", + "rating": "3 star", + "dietary_restrictions": "Gluten Free" + }, + { + "name": "Viktualienmarkt", + "available_table": "2", + "status": "free", + "latitude": 48.135450, + "longitude": 11.576340, + "distance": 5, + "additional_amenities": "Special Dietary Menus", + "cuisine_type": "Vegetarian", + "rating": "5 star", + "dietary_restrictions": "Vegan" + }, + { + "name": "Tantris", + "available_table": "2", + "status": "free", + "latitude": 48.169842, + "longitude": 11.588350, + "distance": 2, + "additional_amenities": "Special Dietary Menus", + "cuisine_type": "Vegan", + "rating": "4.5 star", + "dietary_restrictions": "Vegan" + }, + { + "name": "Alois Dallmayr", + "available_table": "2", + "status": "free", + "latitude": 48.138380, + "longitude": 11.577350, + "distance": 2.2, + "additional_amenities": "Outdoor Seating", + "cuisine_type": "Italian", + "rating": "5 star", + "dietary_restrictions": "Dairy Free" + }, + { + "name": "Tian Restaurant", + "available_table": "2", + "status": "free", + "latitude": 48.134430, + "longitude": 11.575960, + "distance": 2.2, + "additional_amenities": "Outdoor Seating", + "cuisine_type": "Lebanese", + "rating": "4 star", + "dietary_restrictions": "Dairy Free" + } +] +PRAGUE_RESTAURANT = [ + { + "name": "Restaurant Zapomenuty Cas", + "available_table": "2", + "status": "free", + "latitude": 50.0764, + "longitude": 14.4343, + "distance": 0.2, + "additional_amenities": "Online Ordering", + "cuisine_type": "Italian", + "rating": "3.5 star", + "dietary_restrictions": "Vegetarian" + }, + { + "name": "Restaurant Pepř a Sůl", + "available_table": "3", + "status": "free", + "latitude": 50.1115, + "longitude": 14.5005, + "distance": 0.9, + "additional_amenities": "Online Ordering", + "cuisine_type": "Chinese", + "rating": "3 star", + "dietary_restrictions": "Vegetarian" + }, + { + "name": "King Solomon - Glatt Kosher Restaurant", + "available_table": "4", + "status": "free", + "latitude": 50.0755, + "longitude": 14.4378, + "distance": 3, + "additional_amenities": "Private Dining Rooms", + "cuisine_type": "Italian", + "rating": "4.5 star", + "dietary_restrictions": "Gluten Free" + }, + { + "name": "U Tri jelinku", + "available_table": "2", + "status": "free", + "latitude": 50.0887, + "longitude": 14.4018, + "distance": 4, + "additional_amenities": "Private Dining Rooms", + "cuisine_type": "Chinese", + "rating": "3 star", + "dietary_restrictions": "Gluten Free" + }, + { + "name": "The Eatery", + "available_table": "2", + "status": "free", + "latitude": 50.1075, + "longitude": 14.4508, + "distance": 5, + "additional_amenities": "Special Dietary Menus", + "cuisine_type": "Vegetarian", + "rating": "5 star", + "dietary_restrictions": "Vegan" + }, + { + "name": "La Finestra in Cucina", + "available_table": "2", + "status": "free", + "latitude": 50.1075, + "longitude": 14.4508, + "distance": 2, + "additional_amenities": "Special Dietary Menus", + "cuisine_type": "Vegan", + "rating": "4.5 star", + "dietary_restrictions": "Vegan" + }, + { + "name": "Le Grill Restaurant", + "available_table": "2", + "status": "free", + "latitude": 50.1075, + "longitude": 14.4508, + "distance": 2.2, + "additional_amenities": "Outdoor Seating", + "cuisine_type": "Italian", + "rating": "5 star", + "dietary_restrictions": "Dairy Free" + }, + { + "name": "Agave Restaurant", + "available_table": "2", + "status": "free", + "latitude": 50.1075, + "longitude": 14.4508, + "distance": 2.2, + "additional_amenities": "Outdoor Seating", + "cuisine_type": "Lebanese", + "rating": "4 star", + "dietary_restrictions": "Dairy Free" + } +] +STUTTGART_RESTAURANT = [ + { + "name": "Cube Restaurant", + "available_table": "2", + "status": "free", + "latitude": 48.778370, + "longitude": 9.177440, + "distance": 0.2, + "additional_amenities": "Online Ordering", + "cuisine_type": "Italian", + "rating": "3.5 star", + "dietary_restrictions": "Vegetarian" + }, + { + "name": "Amador Restaurant", + "available_table": "3", + "status": "free", + "latitude": 48.771710, + "longitude": 9.178590, + "distance": 0.9, + "additional_amenities": "Online Ordering", + "cuisine_type": "Chinese", + "rating": "3 star", + "dietary_restrictions": "Vegetarian" + }, + { + "name": "Speisemeisterei", + "available_table": "4", + "status": "free", + "latitude": 48.804940, + "longitude": 9.219760, + "distance": 3, + "additional_amenities": "Private Dining Rooms", + "cuisine_type": "Italian", + "rating": "4.5 star", + "dietary_restrictions": "Gluten Free" + }, + { + "name": "Restaurant Délice", + "available_table": "2", + "status": "free", + "latitude": 48.776210, + "longitude": 9.165140, + "distance": 4, + "additional_amenities": "Private Dining Rooms", + "cuisine_type": "Chinese", + "rating": "3 star", + "dietary_restrictions": "Gluten Free" + }, + { + "name": "5 - DAS PINO", + "available_table": "2", + "status": "free", + "latitude": 48.774490, + "longitude": 9.171460, + "distance": 5, + "additional_amenities": "Special Dietary Menus", + "cuisine_type": "Vegetarian", + "rating": "5 star", + "dietary_restrictions": "Vegan" + }, + { + "name": "Restaurant Christophorus", + "available_table": "2", + "status": "free", + "latitude": 48.737450, + "longitude": 9.111620, + "distance": 2, + "additional_amenities": "Special Dietary Menus", + "cuisine_type": "Vegan", + "rating": "4.5 star", + "dietary_restrictions": "Vegan" + }, + { + "name": "Weinstube Fröhlich", + "available_table": "2", + "status": "free", + "latitude": 48.781210, + "longitude": 9.188600, + "distance": 2.2, + "additional_amenities": "Outdoor Seating", + "cuisine_type": "Italian", + "rating": "5 star", + "dietary_restrictions": "Dairy Free" + }, + { + "name": "Restaurant Skyline", + "available_table": "2", + "status": "free", + "latitude": 48.783600, + "longitude": 9.179580, + "distance": 2.2, + "additional_amenities": "Outdoor Seating", + "cuisine_type": "Lebanese", + "rating": "4 star", + "dietary_restrictions": "Dairy Free" + } +] diff --git a/integrations/mobility-integrations/src/main.py b/integrations/mobility-integrations/src/main.py deleted file mode 100644 index 733218a1..00000000 --- a/integrations/mobility-integrations/src/main.py +++ /dev/null @@ -1,13 +0,0 @@ -from agents.ev_charger.ev_charger import agent as ev_charger_agent -from agents.geopy_car_parking.geopy_car_parking import agent as geopy_car_parking_agent -from uagents import Bureau - -if __name__ == "__main__": - bureau = Bureau(endpoint="http://127.0.0.1:8000/submit", port=8000) - print(f"Adding Ev charger agent to Bureau: {ev_charger_agent.address}") - bureau.add(ev_charger_agent) - print( - f"Adding geopy car parking agent to Bureau: {geopy_car_parking_agent.address}" - ) - bureau.add(geopy_car_parking_agent) - bureau.run() diff --git a/integrations/mobility-integrations/src/messages/__init__.py b/integrations/mobility-integrations/src/messages/__init__.py deleted file mode 100644 index 4070c17c..00000000 --- a/integrations/mobility-integrations/src/messages/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .ev_charger import EVRequest -from .general import * -from .geoapi_parking import GeoParkingRequest diff --git a/integrations/mobility-integrations/src/messages/ev_charger.py b/integrations/mobility-integrations/src/messages/ev_charger.py deleted file mode 100644 index d7cb01aa..00000000 --- a/integrations/mobility-integrations/src/messages/ev_charger.py +++ /dev/null @@ -1,17 +0,0 @@ -from uagents import Model - - -class EVRequest(Model): - """ - Represents an Electric Vehicle (EV) Charging Request. - - Attributes: - latitude (float): The latitude of the location where EV charging is requested. - longitude (float): The longitude of the location where EV charging is requested. - miles_radius (float): The search radius (in miles) to find available EV charging stations - around the specified location. - """ - - latitude: float - longitude: float - miles_radius: float diff --git a/integrations/mobility-integrations/src/messages/general.py b/integrations/mobility-integrations/src/messages/general.py deleted file mode 100644 index 6591ba2a..00000000 --- a/integrations/mobility-integrations/src/messages/general.py +++ /dev/null @@ -1,51 +0,0 @@ -from enum import Enum -from typing import List, Optional - -from uagents import Model - - -class UAgentResponseType(Enum): - """ - Enumeration representing different types of responses from the User Agent. - - Attributes: - ERROR (str): Represents an error response type. - SELECT_FROM_OPTIONS (str): Represents a response type where the user needs to select from given options. - FINAL_OPTIONS (str): Represents a response type where the user has selected the final option. - """ - - ERROR = "error" - SELECT_FROM_OPTIONS = "select_from_options" - FINAL_OPTIONS = "final_options" - - -class KeyValue(Model): - """ - Represents a key-value pair. - - Attributes: - key (str): The key of the pair. - value (str): The value associated with the key. - """ - - key: str - value: str - - -class UAgentResponse(Model): - """ - Represents a User Agent Response. - - Attributes: - type (UAgentResponseType): The type of the response. - agent_address (str, optional): The address of the agent to which the response is directed. - message (str, optional): A message related to the response. - options (List[KeyValue], optional): A list of key-value pairs representing response options. - request_id (str, optional): An optional identifier for the corresponding request. - """ - - type: UAgentResponseType - agent_address: Optional[str] - message: Optional[str] - options: Optional[List[KeyValue]] - request_id: Optional[str] diff --git a/integrations/mobility-integrations/src/messages/geoapi_parking.py b/integrations/mobility-integrations/src/messages/geoapi_parking.py deleted file mode 100644 index 0bcdf610..00000000 --- a/integrations/mobility-integrations/src/messages/geoapi_parking.py +++ /dev/null @@ -1,18 +0,0 @@ -from uagents import Model - - -class GeoParkingRequest(Model): - """ - Represents a Geo Parking Request. - - Attributes: - latitude (float): The latitude of the location for which parking is requested. - longitude (float): The longitude of the location for which parking is requested. - radius (int): The search radius (in miles) to find parking spots around the specified location. - max_result (int, optional): The maximum number of parking spots to be returned. Default is 5. - """ - - latitude: float - longitude: float - radius: int - max_result: int = 5