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feat: restructure repository and add integrations (#126)
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jrriehl authored Aug 17, 2023
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11 changes: 11 additions & 0 deletions .github/workflows/ci-tests.yml
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push:
branches:
- main
paths:
- "python/**"
- ".github/**"

pull_request:
branches:
- main
paths:
- "python/**"
- ".github/**"

jobs:
tests:
name: Tests
defaults:
run:
shell: bash
working-directory: ./python
strategy:
matrix:
os: [ubuntu-latest]
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linting:
name: Lint & Formatting
defaults:
run:
shell: bash
working-directory: ./python
runs-on: ubuntu-latest
strategy:
matrix:
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3 changes: 2 additions & 1 deletion .gitignore
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*.py[cgo]
__pycache__
*.json

dist/
*.sqlite3
24 changes: 2 additions & 22 deletions README.md
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The **μAgents** (micro-Agents) project is a fast and lightweight framework that makes it easy to build agents for all kinds of decentralised use cases.

## Installation
## Python Library

Install μAgents for Python 3.8, 3.9, or 3.10:

```bash
poetry install
poetry shell
```

## Documentation

Build and run the docs locally with:

```bash
mkdocs serve
```

Or go to the official docs site: https://docs.fetch.ai/uAgents.

## Examples

The [`examples`](https://github.com/fetchai/uAgents/tree/main/examples) folder contains several examples of how to create and run various types of agents.
Go to the [`python`](https://github.com/fetchai/uAgents/tree/main/python) folder for details on the Python uAgents library.

## Contributing

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## License

The μAgents project is licensed under [Apache License 2.0](https://github.com/fetchai/uAgents/blob/main/LICENSE).

94 changes: 94 additions & 0 deletions integrations/fetch-holiday/README.md
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# uAgent Holiday integrations Examples
### Step 1: Prerequisites
Before starting, you'll need the following:
* Python (3.8+ is recommended)
* Poetry (a packaging and dependency management tool for Python)

### Step 2: Set up .env file
To run the demo, you need API keys from:
* RapidAPI
* OpenAI
* SerpAPI

##### RapidAPI Key
* Visit RapidAPI.
* Sign up or log in.
* Search for the Skyscanner API and subscribe.
* Once subscribed, copy your X-RapidAPI-Key

##### OpenAI API Key
* Visit OpenAI.
* Sign up or log in.
* Navigate to the API section to obtain your API key.

Note that if you’ve run out of OpenAI credits, you will not be able to get results for this example.

##### SerpAPI Key

* Visit SerpAPI.
* Sign up or log in.
* Your API key will be available on the dashboard.

Once you have all three keys, create a .env file in the holiday-integrations/src directory.
```bash
export RAPIDAPI_API_KEY="{GET THE API KEY}"
export OPENAI_API_KEY="{GET THE API KEY}"
export SERPAPI_API_KEY="{GET THE API KEY}"
```
To use the environment variables from .env and install the project:
```bash
cd src
source .env
poetry intall
```
### Step 3: Run the main script
To run the project and its agents:
```bash
poetry run python main.py
```
You need to look for the following output in the logs:
```
Adding top destinations agent to Bureau: {top_dest_address}
```
Copy the {top_dest_address} value and paste it somewhere safe. You will need it in the next step.
### Step 4: Set up the client script
Now that we have set up the integrations, let’s run a client script that will showcase the ‘top destinations’. To do this, create a new Python file in the src folder called top_dest_client.py, and paste the following:
```python
from messages import TopDestinations, UAgentResponse
from uagents import Agent, Context
from uagents.setup import fund_agent_if_low
import os
TOP_DESTINATIONS_CLIENT_SEED = os.getenv("TOP_DESTINATIONS_CLIENT_SEED", "top_destinations_client really secret phrase :)")
top_dest_client = Agent(
name="top_destinations_client",
port=8008,
seed=TOP_DESTINATIONS_CLIENT_SEED,
endpoint=["http://127.0.0.1:8008/submit"],
)
fund_agent_if_low(top_dest_client.wallet.address())
top_dest_request = TopDestinations(preferences="new york")
@top_dest_client.on_interval(period=10.0)
async def send_message(ctx: Context):
await ctx.send("{top_dest_address}", top_dest_request)
@top_dest_client.on_message(model=UAgentResponse)
async def message_handler(ctx: Context, _: str, msg: UAgentResponse):
ctx.logger.info(f"Received top destination options from: {msg.options}")
if __name__ == "__main__":
top_dest_client.run()
```
Remember to replace the address in ctx.send with the value you received in the previous step.

This code sends a request to get the top destinations (in this example, from New York). To do this, it sends a request to the ‘top destinations agent’ every 10 seconds and displays the options in the console.
### Step 5: Run the client script
Open a new terminal (let the previous one be as is), and navigate to the src folder to run the client.
```bash
cd src
poetry run python top_dest_client.py
```
Once you hit enter, a request will be sent to the top destinations agent every 10 seconds, and you will be able to see your results in the console!
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