Using News API to build network of Primary and Secondary functions

agent.py
 
# Here we demonstrate how we can create a news reading system agent that is compatible with DeltaV
 
# Import required libraries
import requests
import json
from uagents import Agent, Context, Model, Field, Protocol
from uagents.setup import fund_agent_if_low
from ai_engine import UAgentResponse, UAgentResponseType
 
# Define News Reading Model
class News(Model):
    news : str
 
# First generate a secure seed phrase (e.g. https://pypi.org/project/mnemonic/)
SEED_PHRASE = "put_your_seed_phrase_here"
 
# Now go to https://agentverse.ai, register your agent in the Mailroom by providing the address you just copied.
# Then, copy the agent's mailbox key and insert it here below inline
AGENT_MAILBOX_KEY = "put_your_AGENT_MAILBOX_KEY_here"
 
# Now your agent is ready to join the agentverse!
news_agent = Agent(
    name="news_agent",
    seed=SEED_PHRASE,
    mailbox=f"{AGENT_MAILBOX_KEY}@https://agentverse.ai",
)
 
fund_agent_if_low(news_agent.wallet.address())
 
# Copy the address shown below
print(f"Your agent's address is: {news_agent.address}")
 
# Define Protocol for news reading system
news_protocol = Protocol("News System")
 
# Define a handler for the News system protocol
@news_protocol.on_message(model=News, replies = UAgentResponse)
async def on_news_request(ctx: Context, sender: str, msg: News):
    #splitting the news titles with nnn and enumerating them with line break for visually better results
    result_list = msg.news.split(" nnn ")
    final_news = '\n'.join([f"{i + 1}. {title}" for i, title in enumerate(result_list)])
    #Printing the news response on logger
    ctx.logger.info(f"Received news request from {sender} with prompt: {final_news}")
    #sending final response to the DeltaV GUI
    await ctx.send(sender, UAgentResponse(message = final_news, type = UAgentResponseType.FINAL))
 
 
# Include the Generate News protocol in your agent
news_agent.include(news_protocol)
 
news_agent.run()

agent.py
# Here we demonstrate how we can create a news generating agent that is compatible with DeltaV.
 
# Import required libraries
import requests
import json
from uagents import Agent, Context, Model, Field, Protocol
from uagents.setup import fund_agent_if_low
from ai_engine import UAgentResponse, UAgentResponseType
 
# Define News Generating Model.
class GenerateNews(Model):
news_type: str
news : str
 
# First generate a secure seed phrase (e.g. https://pypi.org/project/mnemonic/)
SEED_PHRASE = "put_your_seed_phrase_here"
 
# Now go to https://agentverse.ai, register your agent in the Mailroom by providing the address you just copied.
# Then, copy the agent's mailbox key and insert it here below inline
AGENT_MAILBOX_KEY = "put_your_AGENT_MAILBOX_KEY_here"
 
# Now your agent is ready to join the agentverse!
generate_news_agent = Agent(
    name="generate_news_agent",
    seed=SEED_PHRASE,
    mailbox=f"{AGENT_MAILBOX_KEY}@https://agentverse.ai",
)
 
fund_agent_if_low(generate_news_agent.wallet.address())
 
# Copy the address shown below
print(f"Your agent's address is: {generate_news_agent.address}")
 
# Define Generate news protocol.
generate_news_protocol = Protocol("Generate News")
 
 
# Define a handler for the News generation protocol
@generate_news_protocol.on_message(model=GenerateNews, replies=UAgentResponse)
async def on_generate_news_request(ctx: Context, sender: str, msg: GenerateNews):
    try:
    # Generate news based on the requested category.
        ctx.logger.info('Generating News')
        ctx.logger.info(f'User have selected {msg.news_type} category')
 
        ctx.logger.info(f'Generate News \n {msg.news}')
        message = msg.news
 
        # Send a successful response with the generated news.
        await ctx.send(
            sender,
            UAgentResponse(
                message= message,
                type=UAgentResponseType.FINAL
                )
            )
 
    # Handle any exceptions that occur during news generation.
    except Exception as exc:
        ctx.logger.error(f"Error in generating  news: {exc}")
 
        # Send an error response with details of the encountered error.
        await ctx.send(
            sender,
            UAgentResponse(
                message=f"Error in generating news: {exc}",
                type=UAgentResponseType.ERROR
                )
                )
 
# Include the Generate News protocol in your agent.
generate_news_agent.include(generate_news_protocol)
 
generate_news_agent.run()

agent.py
# Here we demonstrate how we can create a categorical news generating agent that is compatible with DeltaV.
 
# Importing libraries
import requests
import json
from uagents import Agent, Context, Model, Field, Protocol
from uagents.setup import fund_agent_if_low
from ai_engine import UAgentResponse, UAgentResponseType
 
# Define the Generate News model.
class GenerateNews(Model):
    category: str
 
# First generate a secure seed phrase (e.g. https://pypi.org/project/mnemonic/)
SEED_PHRASE = "put_your_seed_phrase_here"
 
# Now go to https://agentverse.ai, register your agent in the Mailroom by providing the address you just copied.
# Then, copy the agent's mailbox key and insert it here below inline
AGENT_MAILBOX_KEY = "put_your_AGENT_MAILBOX_KEY_here"
 
# Now your agent is ready to join the agentverse!
generate_cat_news_agent = Agent(
    name="generate_cat_news_agent",
    seed=SEED_PHRASE,
    mailbox=f"{AGENT_MAILBOX_KEY}@https://agentverse.ai",
)
 
fund_agent_if_low(generate_cat_news_agent.wallet.address())
 
# Copy the address shown below
print(f"Your agent's address is: {generate_cat_news_agent.address}")
 
# Define protocol for categorical news generation.
generate_cat_news_protocol = Protocol("Generate Categorical News")
 
# Define function to generate news according to category in great britain - GB.
async def generate_news(category):
    api_key = 'YOUR_NEWS_API_KEY'
    main_url = f"https://newsapi.org/v2/top-headlines?country=gb&category={category}&apiKey={api_key}"
    news = requests.get(main_url).json()
    #strip the source, get top 10 news and join the list with ' nnn ' to return the news as string and not list (DeltaV compatible type)
    titles = [article['title'].split(' - ')[0].strip() for article in news['articles']]
    titles = titles[:10]
    results = ' nnn '.join([f"{title}" for title in titles])
 
    return results
 
# Define a handler for the Categorical News generation protocol.
@generate_cat_news_protocol.on_message(model=GenerateNews, replies=UAgentResponse)
async def on_generate_news_request(ctx: Context, sender: str, msg: GenerateNews):
    #Logging category of news user wants to read
    ctx.logger.info(f"Received ticket request from {sender} with prompt: {msg.category}")
    try:
        # Generate news based on the requested category.
        news = generate_news(msg.category)
        #logging news
        ctx.logger.info(news)
        message = str(news)
        # Send a successful response with the generated news.
        await ctx.send(sender, UAgentResponse(message = message, type = UAgentResponseType.FINAL))
 
    # Handle any exceptions that occur during news generation.
    except Exception as exc:
        ctx.logger.error(f"Error in generating News: {exc}")
        # Send an error response with details of the encountered error.
        await ctx.send(
            sender,
            UAgentResponse(
                message=f"Error in generating News: {exc}",
                type=UAgentResponseType.ERROR
            )
        )
 
 
# Include the Generate News protocol in your agent.
generate_cat_news_agent.include(generate_cat_news_protocol)
 
generate_cat_news_agent.run()

agent.py
# Import libraries
import requests
import json
from uagents import Agent, Context, Model, Field, Protocol
from uagents.setup import fund_agent_if_low
from ai_engine import UAgentResponse, UAgentResponseType
 
# Define dictionary with country codes
country_codes = {
    "argentina": "ar", "australia": "au", "austria": "at", "belgium": "be",
    "bulgaria": "bg", "brazil": "br", "canada": "ca", "china": "cn",
    "colombia": "co", "cuba": "cu", "czech republic": "cz", "germany": "de",
    "egypt": "eg", "france": "fr", "united kingdom": "gb", "greece": "gr",
    "hong kong": "hk", "hungary": "hu", "indonesia": "id", "ireland": "ie",
    "israel": "il", "india": "in", "italy": "it", "japan": "jp",
    "south korea": "kr", "lithuania": "lt", "latvia": "lv", "morocco": "ma",
    "mexico": "mx", "malaysia": "my", "nigeria": "ng", "netherlands": "nl",
    "norway": "no", "new zealand": "nz", "philippines": "ph", "poland": "pl",
    "portugal": "pt", "romania": "ro", "serbia": "rs", "russia": "ru",
    "saudi arabia": "sa", "sweden": "se", "singapore": "sg", "slovenia": "si",
    "slovakia": "sk", "thailand": "th", "turkey": "tr", "taiwan": "tw",
    "ukraine": "ua", "united states": "us", "venezuela": "ve", "south africa": "za"
}
 
# Define the Generate News model
class GenerateNews(Model):
    country: str
 
# First generate a secure seed phrase (e.g. https://pypi.org/project/mnemonic/)
SEED_PHRASE = "put_your_seed_phrase_here"
 
# Now go to https://agentverse.ai, register your agent in the Mailroom by providing the address you just copied.
# Then, copy the agent's mailbox key and insert it here below inline
AGENT_MAILBOX_KEY = "put_your_AGENT_MAILBOX_KEY_here"
 
# Now your agent is ready to join the agentverse!
generate_news_reg_agent = Agent(
    name="generate_news_reg_agent",
    seed=SEED_PHRASE,
    mailbox=f"{AGENT_MAILBOX_KEY}@https://agentverse.ai",
)
 
fund_agent_if_low(generate_news_reg_agent.wallet.address())
 
# Copy the address shown below
print(f"Your agent's address is: {generate_news_reg_agent.address}")
 
# Define function to generate regional news according to country
async def get_regional_news(country):
    api_key = 'YOUR_API_KEY'
    main_url = f"https://newsapi.org/v2/top-headlines?country={country_codes.get(country.lower())}&apiKey={api_key}"
    news = requests.get(main_url).json()
    # Strip the source, get top 10 news and join the list with nnn to return the news as string and not list - DeltaV compatible type
    titles = [article['title'].split(' - ')[0].strip()for article in news['articles']]
    titles = titles[:10]
    results = ' nnn '.join([f"{title}" for title in titles])
 
    return results
 
# Define protocol for regional news generation Protocol
generate_news_reg_protocol = Protocol("Generate Regional News")
 
# Define a handler for the Regional News generation protocol
@generate_news_reg_protocol.on_message(model=GenerateNews, replies=UAgentResponse)
async def on_generate_news_request(ctx: Context, sender: str, msg: GenerateNews):
 
    ctx.logger.info(f"Received ticket request from {sender} with prompt: {msg.country}")
    try:
        # Get the country code from the country_code dictionary
        country_code = country_codes.get(msg.country.lower())
        # Generate news based on the requested country and log it on agentverse
        message = await get_regional_news(msg.country)
        ctx.logger.info(f"Message from endpoint: {message}")
        # Send a successful response with the generated news
        await ctx.send(sender, UAgentResponse(message=message, type=UAgentResponseType.FINAL))
    # Handle any exceptions that occur during news generation
    except Exception as exc:
        ctx.logger.error(f"Error in generating News: {exc}")
        # Send an error response with details of the encountered error
        await ctx.send(
            sender,
            UAgentResponse(
                message=f"Error in generating News: {exc}",
                type=UAgentResponseType.ERROR
            )
        )
 
 
# Include the Generate Regional News protocol in your agent
generate_news_reg_agent.include(generate_news_protocol)
 
generate_news_reg_agent.run()

agent.py
# Import libraries
import requests
from uagents import Agent, Context, Model, Field, Protocol
from uagents.setup import fund_agent_if_low
import json
from ai_engine import UAgentResponse, UAgentResponseType
 
# Define the Generate News model
class GenerateNews(Model):
    keyword: str
 
# First generate a secure seed phrase (e.g. https://pypi.org/project/mnemonic/)
SEED_PHRASE = "put_your_seed_phrase_here"
 
# Now go to https://agentverse.ai, register your agent in the Mailroom by providing the address you just copied.
# Then, copy the agent's mailbox key and insert it here below inline
AGENT_MAILBOX_KEY = "put_your_AGENT_MAILBOX_KEY_here"
 
# Now your agent is ready to join the agentverse!
generate_news_keyw_agent = Agent(
    name="generate_news_keyw_agent",
    seed=SEED_PHRASE,
    mailbox=f"{AGENT_MAILBOX_KEY}@https://agentverse.ai",
)
 
fund_agent_if_low(generate_news_keyw_agent.wallet.address())
 
# Copy the address shown below
print(f"Your agent's address is: {generate_news_keyw_agent.address}")
 
# Define protocol for keyword news generation
generate_news_keyw_protocol = Protocol("Generate Keyword News")
 
# Define function to generate news according to keyword
async def get_keyword_news(keyword):
 
    api_key = 'YOUR_API_KEY'
    main_url = f"https://newsapi.org/v2/top-headlines?q={keyword}&apiKey={api_key}"
    news = requests.get(main_url).json()
    # Strip the source, get top 10 news and join the list with nnn to return the news as string and not list - DeltaV compatible type
    titles = [article['title'].split(' - ')[0].strip() for article in news['articles']]
    titles = titles[:10]
    results = ' nnn '.join([f"{title}" for title in titles])
 
# Define a handler for the Keyword News generation protocol
@generate_news_keyw_protocol.on_message(model=GenerateNews, replies=UAgentResponse)
async def on_generate_news_request(ctx: Context, sender: str, msg: GenerateNews):
 
    ctx.logger.info(f"Received news request from {sender} with prompt: {msg.keyword}")
    # Generate news based on the requested keyword
    try:
        news = get_keyword_news(msg.keyword)
        # Send a successful response with the generated news
        await ctx.send(
            sender,
            UAgentResponse(
                message=news,
                type=UAgentResponseType.FINAL
            )
        )
 
    # Handle any exceptions that occur during news generation
    except Exception as exc:
        ctx.logger.error(f"Error in generating News: {exc}")
        # Send an error response with details of the encountered error
        await ctx.send(
            sender,
            UAgentResponse(
                message=f"Error in generating News: {exc}",
                type=UAgentResponseType.ERROR
            )
        )
 
# Include the Generate Keyword News protocol in your agent
generate_news_keyw_agent.include(generate_news_keyw_protocol)
 
generate_news_keyw_agent.run()