two version of R2R are here HEAD master

1 files changed, 295 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/azure/ai/inference/prompts/_invoker.py b/.venv/lib/python3.12/site-packages/azure/ai/inference/prompts/_invoker.py
new file mode 100644
index 00000000..d682662e
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/inference/prompts/_invoker.py
@@ -0,0 +1,295 @@
+# ------------------------------------
+# Copyright (c) Microsoft Corporation.
+# Licensed under the MIT License.
+# ------------------------------------
+# mypy: disable-error-code="return-value,operator"
+# pylint: disable=line-too-long,R,docstring-missing-param,docstring-missing-return,docstring-missing-rtype,unnecessary-pass
+import abc
+from typing import Any, Callable, Dict, Literal
+from ._tracer import trace
+from ._core import Prompty
+
+
+class Invoker(abc.ABC):
+    """Abstract class for Invoker
+
+    Attributes
+    ----------
+    prompty : Prompty
+        The prompty object
+    name : str
+        The name of the invoker
+
+    """
+
+    def __init__(self, prompty: Prompty) -> None:
+        self.prompty = prompty
+        self.name = self.__class__.__name__
+
+    @abc.abstractmethod
+    def invoke(self, data: Any) -> Any:
+        """Abstract method to invoke the invoker
+
+        Parameters
+        ----------
+        data : Any
+            The data to be invoked
+
+        Returns
+        -------
+        Any
+            The invoked
+        """
+        pass
+
+    @abc.abstractmethod
+    async def invoke_async(self, data: Any) -> Any:
+        """Abstract method to invoke the invoker asynchronously
+
+        Parameters
+        ----------
+        data : Any
+            The data to be invoked
+
+        Returns
+        -------
+        Any
+            The invoked
+        """
+        pass
+
+    @trace
+    def run(self, data: Any) -> Any:
+        """Method to run the invoker
+
+        Parameters
+        ----------
+        data : Any
+            The data to be invoked
+
+        Returns
+        -------
+        Any
+            The invoked
+        """
+        return self.invoke(data)
+
+    @trace
+    async def run_async(self, data: Any) -> Any:
+        """Method to run the invoker asynchronously
+
+        Parameters
+        ----------
+        data : Any
+            The data to be invoked
+
+        Returns
+        -------
+        Any
+            The invoked
+        """
+        return await self.invoke_async(data)
+
+
+class InvokerFactory:
+    """Factory class for Invoker"""
+
+    _renderers: Dict[str, Invoker] = {}
+    _parsers: Dict[str, Invoker] = {}
+    _executors: Dict[str, Invoker] = {}
+    _processors: Dict[str, Invoker] = {}
+
+    @classmethod
+    def add_renderer(cls, name: str, invoker: Invoker) -> None:
+        cls._renderers[name] = invoker
+
+    @classmethod
+    def add_parser(cls, name: str, invoker: Invoker) -> None:
+        cls._parsers[name] = invoker
+
+    @classmethod
+    def add_executor(cls, name: str, invoker: Invoker) -> None:
+        cls._executors[name] = invoker
+
+    @classmethod
+    def add_processor(cls, name: str, invoker: Invoker) -> None:
+        cls._processors[name] = invoker
+
+    @classmethod
+    def register_renderer(cls, name: str) -> Callable:
+        def inner_wrapper(wrapped_class: Invoker) -> Callable:
+            cls._renderers[name] = wrapped_class
+            return wrapped_class  # type: ignore
+
+        return inner_wrapper
+
+    @classmethod
+    def register_parser(cls, name: str) -> Callable:
+        def inner_wrapper(wrapped_class: Invoker) -> Callable:
+            cls._parsers[name] = wrapped_class
+            return wrapped_class  # type: ignore
+
+        return inner_wrapper
+
+    @classmethod
+    def register_executor(cls, name: str) -> Callable:
+        def inner_wrapper(wrapped_class: Invoker) -> Callable:
+            cls._executors[name] = wrapped_class
+            return wrapped_class  # type: ignore
+
+        return inner_wrapper
+
+    @classmethod
+    def register_processor(cls, name: str) -> Callable:
+        def inner_wrapper(wrapped_class: Invoker) -> Callable:
+            cls._processors[name] = wrapped_class
+            return wrapped_class  # type: ignore
+
+        return inner_wrapper
+
+    @classmethod
+    def _get_name(
+        cls,
+        type: Literal["renderer", "parser", "executor", "processor"],
+        prompty: Prompty,
+    ) -> str:
+        if type == "renderer":
+            return prompty.template.type
+        elif type == "parser":
+            return f"{prompty.template.parser}.{prompty.model.api}"
+        elif type == "executor":
+            return prompty.model.configuration["type"]
+        elif type == "processor":
+            return prompty.model.configuration["type"]
+        else:
+            raise ValueError(f"Type {type} not found")
+
+    @classmethod
+    def _get_invoker(
+        cls,
+        type: Literal["renderer", "parser", "executor", "processor"],
+        prompty: Prompty,
+    ) -> Invoker:
+        if type == "renderer":
+            name = prompty.template.type
+            if name not in cls._renderers:
+                raise ValueError(f"Renderer {name} not found")
+
+            return cls._renderers[name](prompty)  # type: ignore
+
+        elif type == "parser":
+            name = f"{prompty.template.parser}.{prompty.model.api}"
+            if name not in cls._parsers:
+                raise ValueError(f"Parser {name} not found")
+
+            return cls._parsers[name](prompty)  # type: ignore
+
+        elif type == "executor":
+            name = prompty.model.configuration["type"]
+            if name not in cls._executors:
+                raise ValueError(f"Executor {name} not found")
+
+            return cls._executors[name](prompty)  # type: ignore
+
+        elif type == "processor":
+            name = prompty.model.configuration["type"]
+            if name not in cls._processors:
+                raise ValueError(f"Processor {name} not found")
+
+            return cls._processors[name](prompty)  # type: ignore
+
+        else:
+            raise ValueError(f"Type {type} not found")
+
+    @classmethod
+    def run(
+        cls,
+        type: Literal["renderer", "parser", "executor", "processor"],
+        prompty: Prompty,
+        data: Any,
+        default: Any = None,
+    ):
+        name = cls._get_name(type, prompty)
+        if name.startswith("NOOP") and default is not None:
+            return default
+        elif name.startswith("NOOP"):
+            return data
+
+        invoker = cls._get_invoker(type, prompty)
+        value = invoker.run(data)
+        return value
+
+    @classmethod
+    async def run_async(
+        cls,
+        type: Literal["renderer", "parser", "executor", "processor"],
+        prompty: Prompty,
+        data: Any,
+        default: Any = None,
+    ):
+        name = cls._get_name(type, prompty)
+        if name.startswith("NOOP") and default is not None:
+            return default
+        elif name.startswith("NOOP"):
+            return data
+        invoker = cls._get_invoker(type, prompty)
+        value = await invoker.run_async(data)
+        return value
+
+    @classmethod
+    def run_renderer(cls, prompty: Prompty, data: Any, default: Any = None) -> Any:
+        return cls.run("renderer", prompty, data, default)
+
+    @classmethod
+    async def run_renderer_async(cls, prompty: Prompty, data: Any, default: Any = None) -> Any:
+        return await cls.run_async("renderer", prompty, data, default)
+
+    @classmethod
+    def run_parser(cls, prompty: Prompty, data: Any, default: Any = None) -> Any:
+        return cls.run("parser", prompty, data, default)
+
+    @classmethod
+    async def run_parser_async(cls, prompty: Prompty, data: Any, default: Any = None) -> Any:
+        return await cls.run_async("parser", prompty, data, default)
+
+    @classmethod
+    def run_executor(cls, prompty: Prompty, data: Any, default: Any = None) -> Any:
+        return cls.run("executor", prompty, data, default)
+
+    @classmethod
+    async def run_executor_async(cls, prompty: Prompty, data: Any, default: Any = None) -> Any:
+        return await cls.run_async("executor", prompty, data, default)
+
+    @classmethod
+    def run_processor(cls, prompty: Prompty, data: Any, default: Any = None) -> Any:
+        return cls.run("processor", prompty, data, default)
+
+    @classmethod
+    async def run_processor_async(cls, prompty: Prompty, data: Any, default: Any = None) -> Any:
+        return await cls.run_async("processor", prompty, data, default)
+
+
+class InvokerException(Exception):
+    """Exception class for Invoker"""
+
+    def __init__(self, message: str, type: str) -> None:
+        super().__init__(message)
+        self.type = type
+
+    def __str__(self) -> str:
+        return f"{super().__str__()}. Make sure to pip install any necessary package extras (i.e. could be something like `pip install prompty[{self.type}]`) for {self.type} as well as import the appropriate invokers (i.e. could be something like `import prompty.{self.type}`)."
+
+
+@InvokerFactory.register_renderer("NOOP")
+@InvokerFactory.register_parser("NOOP")
+@InvokerFactory.register_executor("NOOP")
+@InvokerFactory.register_processor("NOOP")
+@InvokerFactory.register_parser("prompty.embedding")
+@InvokerFactory.register_parser("prompty.image")
+@InvokerFactory.register_parser("prompty.completion")
+class NoOp(Invoker):
+    def invoke(self, data: Any) -> Any:
+        return data
+
+    async def invoke_async(self, data: str) -> Any:
+        return self.invoke(data)