Metadata-Version: 2.1
Name: pieces_os_client
Version: 3.0.0
Summary: A powerful code engine package for writing applications on top of Pieces OS
Home-page: https://pieces.app
License: MIT
Author: Pieces
Author-email: development@pieces.app
Requires-Python: >=3.7,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: aenum (>=3.1.11)
Requires-Dist: pydantic (>=1.10.5,<2.0.0)
Requires-Dist: python-dateutil (>=2.8.2)
Requires-Dist: urllib3 (>=1.25.3)
Project-URL: Documentation, https://docs.pieces.app/build/reference/python/
Project-URL: Repository, https://github.com/pieces-app/pieces-os-client-sdk-for-python
Project-URL: issues, https://github.com/pieces-app/pieces-os-client-sdk-for-python/issues
Description-Content-Type: text/markdown

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# <p align="center"> Pieces OS Client SDK For Python
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## Introduction

The Pieces OS Client SDK is a powerful code engine package designed for writing applications on top of Pieces OS. It facilitates communication with a locally hosted server to enable features such as copilot chats, asset saving, and more.

## Features
The Pieces SDK offers the following key features:

1. Copilot Chats: Communicate seamlessly with copilot chats functionality.
2. Asset Management: Save and manage assets and formats efficiently.
3. Local Server Interaction: Interact with a locally hosted server for various functionalities.
4. Multi LLMs support: Use any Pieces supported LLM to power your app.

## Installation

To get started with the Pieces OS Client SDK, follow these steps:

1. **Download Pieces OS**: Pieces OS serves as the primary backend service, providing essential functionality for the SDK. Download the appropriate version for your operating system:
   - [macOS](https://docs.pieces.app/installation-getting-started/macos) 
   - [Windows](https://docs.pieces.app/installation-getting-started/windows) 
   - [Linux](https://docs.pieces.app/installation-getting-started/linux)

2. **Install the SDK**: Use pip to install the Pieces OS Client SDK package:
   ```shell
   pip install pieces_os_client
   ```

## Basic Usage

The Pieces OS Client SDK has a built-in wrapper that simplifies the process of interacting with the Pieces OS server. Here's how you can get started with the wrapper.

### Initialize the Pieces Client

```python
from pieces_os_client.wrapper import PiecesClient
import platform

# Defining the port based on the operating system
platform_info = platform.platform()
if 'Linux' in platform_info:
   port = 5323
else:
   port = 1000

pieces_client = PiecesClient(config={'host': f'http://localhost:{port}'})
```

#### Determining Your Base URL

In the code snippet above, we use the `platform` package to determine the base URL based on the operating system. However, you can also set the base URL manually if you know your application will only run on a specific operating system.

- **Local Instance of Pieces OS:**
  - On macOS/Windows, use `http://localhost:1000`
  - On Linux, use `http://localhost:5323`
- **Remote Instance of Pieces OS:**
  - Use the URL you have set up for your remote instance

### Create a New Asset

To create a new asset, you can use the `create_asset` method of the Pieces Client. Here's an example of how to create a new asset:

```python
from pieces_os_client.wrapper import PiecesClient
from pieces_os_client import FragmentMetadata

# Replace 'your_base_url' with the base URL of your Pieces OS server
pieces_client = PiecesClient(config={'host': 'your_base_url'})

# Set the content and metadata for the new asset
content = "print('Hello, World!')"
metadata = FragmentMetadata(ext=ClassificationSpecificEnum.PY) # optional metadata

# Create the new asset using the content and metadata
new_asset_id = pieces_client.create_asset(content, metadata)

print(f"Created asset with ID: {new_asset_id}")
```

### Get All Assets

To get all your assets, you can use the `assets` method of the Pieces Client. Here's an example of how to get all your assets and print their names:

```python
from pieces_os_client.wrapper import PiecesClient

# Replace 'your_base_url' with the base URL of your Pieces OS server
pieces_client = PiecesClient(config={'host': 'your_base_url'})

# Get all assets and print their names
assets = pieces_client.assets()
for asset in assets:
   logger.info(f"Asset Name: {asset.name}")

```

### Ask a Question to Pieces Copilot

To ask a question to Pieces Copilot and stream the response, you can use the `stream_question` method of the Pieces Client. Here's an example of how to ask a question and stream the response:

```python
from pieces_os_client.wrapper import PiecesClient

pieces_client = PiecesClient(config={'host': 'your_base_url'})

# Set the question you want to ask
question = "What is Object-Oriented Programming?"

# Ask the question and stream the response
for response in pieces_client.copilot.stream_question(question):
   if response.question:
         # Each answer is a chunk of the entire response to the question
         answers = response.question.answers.iterable
         for answer in answers:
            print(answer.text,end="")
```

### Next Steps

You can explore more features and functionalities of the built-in wrapper by referring to the [Pieces OS Client Wrapper SDK documentation](https://docs.pieces.app/build/sdks/python).

## Advanced Usage

If you want to use the Pieces OS Client SDK directly without the built-in wrapper, you can follow these steps to get started.

### Getting Started

First, we will create a Python script to test the connection to the Pieces OS server.

Create a python file and add the following code to confirm you can connect to your Pieces OS server:

```python
import pieces_os_client
import platform

# Define the localhost port based on your operating system
# For Linux, use port 5323, for macOS/Windows, use port 1000
platform_info = platform.platform()
if 'Linux' in platform_info:
    port = 5323
else:
    port = 1000

# The `basePath` defaults to http://localhost:1000, but in this case we are checking the operating system to correctly set the port
configuration = pieces_os_client.Configuration(host=f"http://localhost:{port}")

# Initialize the Pieces ApiClient
api_client = pieces_os_client.ApiClient(configuration)

# Enter a context with an instance of the ApiClient
with pieces_os_client.ApiClient(configuration) as api_client:
    # Create an instance of the WellKnown API
    api_instance = pieces_os_client.WellKnownApi(api_client)

    try:
        # Retrieve the (wellknown) health of your Pieces OS server
        api_response = api_instance.get_well_known_health()
        print("The response of WellKnownApi().get_well_known_health:")
        print(api_response) # Response: ok
    except Exception as e:
        print("Exception when calling WellKnownApi->get_well_known_health: %s\n" % e)
```

## Examples
Here are some examples of the basic endpoint for getting up and running: 

<details>
<summary>Connect to your Pieces OS Server</summary>

   When developing and creating an application on top of Pieces OS, it is important that you authenticate with the application itself when performing requests.
   
   To 'connect' your application (this Python project) to the server, you will need to make a POST request to the `api_instance.connect()` endpoint of the API and print the response.

  ```python

# Enter a context with an instance of the API client
with pieces_os_client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = pieces_os_client.ConnectorApi(api_client)
    seeded_connector_connection = pieces_os_client.SeededConnectorConnection() # SeededConnectorConnection |  (optional)

    try:
        # /connect [POST]
        api_response = api_instance.connect(seeded_connector_connection=seeded_connector_connection)
        print("The response of ConnectorApi->connect:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling ConnectorApi->connect: %s\n" % e) 
  ```
  
</details>

<details>
<summary>Create a New Asset</summary>
   When integrating your application with Pieces OS, creating a new asset is a fundamental task that enables you to manage your resources effectively. This code snippet demonstrates how to accomplish this task using the Pieces OS API.

   After establishing a connection with the API client and instantiating the Assets API class, you can call the `assets_create_new_asset` method to create the asset.You can customize the asset creation process by setting parameters such as `transferables` and `seed`.

   ```python

   # Enter a context with an instance of the API client
   with pieces_os_client.ApiClient(configuration) as api_client:
      # Create an instance of the API class
      api_instance = Assets API(api_client)
      transferables = True # bool | This is a boolean that will decided if we are want to return the transferable data (default) or not(performance enhancement) (optional)
      seed = pieces_os_client.Seed() # Seed |  (optional)

      try:
         # /assets/create [POST] Scoped to Asset
         api_response = api_instance.assets_create_new_asset(transferables=transferables, seed=seed)
         print("The response of AssetsApi->assets_create_new_asset:\n")
         pprint(api_response)
      except Exception as e:
         print("Exception when calling AssetsApi->assets_create_new_asset: %s\n" % e)

   ```
</details>

<details>
<summary>Get Your Assets</summary>

When working with your app implementation you will often need to call the entire asset snapshot in order to get the correct snippet from your storage in Pieces OS. You can use this asset snapshot by passing the asset's ID and a boolean value indicating whether or not to return transferable data. The response from the API is then printed to the console.

```python
# Enter a context with an instance of the API client
with pieces_os_client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = pieces_os_client.AssetApi(api_client)
    asset = '2254f2c8-5797-40e8-ac56-41166dc0e159' # str | The id (uuid) of the asset that you are trying to access.
    transferables = True # bool | This is a boolean that will decide if we want to return the transferable data (default) or not (performance enhancement) (optional)
    seeded_accessor = pieces_os_client.SeededAccessor() # SeededAccessor |  (optional)

    try:
         # api_instance.asset_snapshot(asset, transferables=transferables, seeded_accessor=seeded_accessor) [POST] Scoped to an Asset
        api_response = api_instance.asset_snapshot_post(asset, transferables=transferables, seeded_accessor=seeded_accessor)
        print("The response of AssetApi->asset_snapshot_post:\n")
        print(api_response)
    except Exception as e:
        print("Exception when calling AssetApi->asset_snapshot_post: %s\n" % e)
```
</details>

A developer documentation that outlines all the ins and outs of our available endpoints can be found [here](https://docs.pieces.app/build/reference/python/).

## Learn More / Support
Explore more about Pieces SDK and get help from the following resources:

- 🚀 [Getting Started with Pieces](https://docs.pieces.app/installation-getting-started/what-am-i-installing)
- 📜 [Pieces Docs](https://docs.pieces.app/build)
- 💬 [Discord Community](https://discord.gg/getpieces)

## License

This repository is available under the [MIT License](./LICENSE).



