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semantic-kernel/python/tests/unit/openapi
Mark KarleandAbby Harrison 2733a5574f Python: Import OpenAPI documents into the semantic kernel (#2297)
### Motivation and Context

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This allows us to import OpenAPI documents, including ChatGPT plugins,
into the Semantic Kernel.

### Description

<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->
- The interface reads the operationIds of the openapi spec into a skill:
```python
from semantic_kernel.connectors.openapi import register_openapi_skill
skill = register_openapi_skill(kernel=kernel, skill_name="test", openapi_document="url/or/path/to/openapi.yamlorjson")
skill['operationId'].invoke_async()
```
- Parse an OpenAPI document
- For each operation in the document, create a function that will
execute the operation
- Add all those operations to a skill in the kernel
- Modified `import_skill` to accept a dictionary of functions instead of
just class so that we can import dynamically created functions
- Created unit tests

TESTING:
I've been testing this with the following ChatGPT plugins:
- [Semantic Kernel Starter's Python Flask
plugin](https://github.com/microsoft/semantic-kernel-starters/tree/main/sk-python-flask)
- [ChatGPT's example retrieval
plugin](https://github.com/openai/chatgpt-retrieval-plugin/blob/main/docs/providers/azuresearch/setup.md)
- This one was annoying to setup. I didn't get the plugin functioning,
but I was able to send the right API requests
- Also, their openapi file was invalid. The "servers" attribute is
misindented
- [Google ChatGPT
plugin](https://github.com/Sogody/google-chatgpt-plugin)
- [Chat TODO plugin](https://github.com/lencx/chat-todo-plugin)
- This openapi file is also invalid. I checked with an online validator.
I had to remove"required" from the referenced request objects'
properties:
https://github.com/lencx/chat-todo-plugin/blob/main/openapi.yaml#L85

Then I used this python file to test the examples:

```python
import asyncio
import logging

import semantic_kernel as sk
from semantic_kernel import ContextVariables, Kernel
from semantic_kernel.connectors.ai.open_ai import AzureTextCompletion
from semantic_kernel.connectors.openapi.sk_openapi import register_openapi_skill

# Example usage
chatgpt_retrieval_plugin = {
    "openapi": # location of the plugin's openapi.yaml file,
    "payload": {
        "queries": [
            {
                "query": "string",
                "filter": {
                    "document_id": "string",
                    "source": "email",
                    "source_id": "string",
                    "author": "string",
                    "start_date": "string",
                    "end_date": "string",
                },
                "top_k": 3,
            }
        ]
    },
    "operation_id": "query_query_post",
}

sk_python_flask = {
    "openapi":  # location of the plugin's openapi.yaml file,
    "path_params": {"skill_name": "FunSkill", "function_name": "Joke"},
    "payload": {"input": "dinosaurs"},
    "operation_id": "executeFunction",
}
google_chatgpt_plugin = {
    "openapi":  # location of the plugin's openapi.yaml file,
    "query_params": {"q": "dinosaurs"},
    "operation_id": "searchGet",
}

todo_plugin_add = {
    "openapi":  # location of the plugin's openapi.yaml file,
    "path_params": {"username": "markkarle"},
    "payload": {"todo": "finish this"},
    "operation_id": "addTodo",
}

todo_plugin_get = {
    "openapi":  # location of the plugin's openapi.yaml file,
    "path_params": {"username": "markkarle"},
    "operation_id": "getTodos",
}

todo_plugin_delete = {
    "openapi":  # location of the plugin's openapi.yaml file,
    "path_params": {"username": "markkarle"},
    "payload": {"todo_idx": 0},
    "operation_id": "deleteTodo",
}


plugin = todo_plugin_get # set this to the plugin you want to try

logger = logging.getLogger(__name__)
logger.addHandler(logging.StreamHandler())
logger.setLevel(logging.DEBUG)

kernel = Kernel(log=logger)
deployment, api_key, endpoint = sk.azure_openai_settings_from_dot_env()
kernel.add_text_completion_service(
    "dv", AzureTextCompletion(deployment, endpoint, api_key)
)

skill = register_openapi_skill(
    kernel=kernel, skill_name="test", openapi_document=plugin["openapi"]
)
context_variables = ContextVariables(variables=plugin)
result = asyncio.run(
    skill[plugin["operation_id"]].invoke_async(variables=context_variables)
)
print(result)
```

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [ ] The code builds clean without any errors or warnings
- [ ] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄

---------

Co-authored-by: Abby Harrison <[email protected]>
2023-08-04 17:48:21 +00:00
..