From Topic

"""
From Topic
==========

Demonstrates loading topics from Wikipedia and Arxiv using sync and async operations.
"""

import asyncio

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.knowledge.knowledge import Knowledge
from agno.knowledge.reader.arxiv_reader import ArxivReader
from agno.knowledge.reader.wikipedia_reader import WikipediaReader
from agno.vectordb.pgvector import PgVector

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
vector_db = PgVector(
    table_name="vectors", db_url="postgresql+psycopg://ai:ai@localhost:5532/ai"
)
contents_db = PostgresDb(
    db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
    knowledge_table="knowledge_contents",
)


# ---------------------------------------------------------------------------
# Create Knowledge Base
# ---------------------------------------------------------------------------
def create_knowledge() -> Knowledge:
    return Knowledge(
        name="Basic SDK Knowledge Base",
        description="Agno 2.0 Knowledge Implementation",
        vector_db=vector_db,
        contents_db=contents_db,
    )


# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
def create_agent(knowledge: Knowledge) -> Agent:
    return Agent(
        name="My Agent",
        description="Agno 2.0 Agent Implementation",
        knowledge=knowledge,
        search_knowledge=True,
    )


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
def run_sync() -> None:
    knowledge = create_knowledge()

    knowledge.insert(
        metadata={"user_tag": "Wikipedia content"},
        topics=["Manchester United"],
        reader=WikipediaReader(),
    )

    knowledge.insert(
        metadata={"user_tag": "Arxiv content"},
        topics=["Carbon Dioxide", "Oxygen"],
        reader=ArxivReader(),
    )

    knowledge.insert_many(
        topics=["Carbon Dioxide", "Nitrogen"],
        reader=ArxivReader(),
        skip_if_exists=True,
    )

    agent = create_agent(knowledge)
    agent.print_response(
        "What can you tell me about Manchester United?",
        markdown=True,
    )


async def run_async() -> None:
    knowledge = create_knowledge()

    await knowledge.ainsert(
        metadata={"user_tag": "Wikipedia content"},
        topics=["Manchester United"],
        reader=WikipediaReader(),
    )

    await knowledge.ainsert(
        metadata={"user_tag": "Arxiv content"},
        topics=["Carbon Dioxide", "Oxygen"],
        reader=ArxivReader(),
    )

    await knowledge.ainsert_many(
        topics=["Carbon Dioxide", "Nitrogen"],
        reader=ArxivReader(),
        skip_if_exists=True,
    )

    agent = create_agent(knowledge)
    agent.print_response(
        "What can you tell me about Manchester United?",
        markdown=True,
    )


if __name__ == "__main__":
    run_sync()
    asyncio.run(run_async())

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/07_knowledge/01_quickstart

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

# Optiona: Run PgVector (needs docker)
./cookbook/scripts/run_pgvector.sh

python 03_from_topic.py