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"importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [metadata] lock-version = "2.0" python-versions = ">=3.9" -content-hash = "b96ab7208061b32e2013d1e3aee727a4ef9a95902352d9a6d88e916e90721843" +content-hash = "eeb3c8e7b79916e553f863169d130bde5dc45a8841f5a35dcea65f85c51711fe" diff --git a/pyproject.toml b/pyproject.toml index 1328ad1..b330006 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "substrate" -version = "220240530.0.0" +version = "220240604.0.0" description = "Substrate Python SDK" readme = "README.md" authors = [ "vprtwn ", "liamgriffiths ",] @@ -44,6 +44,7 @@ exclude = [ "examples/notebooks",] [tool.poetry.dependencies] python = ">=3.9" +cloudpickle = "3.0.0" networkx = ">=3.2.1" httpx = ">=0.26.0" distro = ">=1.8.0" diff --git a/substrate/GEN_VERSION b/substrate/GEN_VERSION index 9674ffc..820eb52 100644 --- a/substrate/GEN_VERSION +++ b/substrate/GEN_VERSION @@ -1 +1 @@ -20240530.20240531 \ No newline at end of file +20240604.20240610 \ No newline at end of file diff --git a/substrate/__init__.py b/substrate/__init__.py index 267c4af..7655271 100644 --- a/substrate/__init__.py +++ b/substrate/__init__.py @@ -1,7 +1,7 @@ """ 𐃏 Substrate Python SDK -20240530.20240531 +20240604.20240610 """ from .nodes import ( @@ -10,7 +10,6 @@ JinaV2, FillMask, EmbedText, - RunPython, EmbedImage, Experimental, FetchVectors, @@ -32,27 +31,26 @@ RemoveBackground, BatchGenerateJSON, BatchGenerateText, - CreateVectorStore, DeleteVectorStore, Llama3Instruct70B, Mistral7BInstruct, MultiGenerateJSON, MultiGenerateText, SegmentUnderPoint, - StableDiffusionXL, GenerateTextVision, MultiGenerateImage, GenerativeEditImage, Mixtral8x7BInstruct, + FindOrCreateVectorStore, MultiGenerativeEditImage, StableDiffusionXLInpaint, - StableDiffusionXLIPAdapter, StableDiffusionXLLightning, StableDiffusionXLControlNet, ) from .core.sb import sb from ._version import __version__ from .substrate import Substrate, SubstrateResponse +from .run_python import RunPython __all__ = [ "__version__", @@ -77,11 +75,9 @@ "MultiGenerateImage", "GenerativeEditImage", "MultiGenerativeEditImage", - "StableDiffusionXL", "StableDiffusionXLLightning", "StableDiffusionXLInpaint", "StableDiffusionXLControlNet", - "StableDiffusionXLIPAdapter", "TranscribeMedia", "GenerateSpeech", "XTTSV2", @@ -96,7 +92,7 @@ "MultiEmbedImage", "JinaV2", "CLIP", - "CreateVectorStore", + "FindOrCreateVectorStore", "ListVectorStores", "DeleteVectorStore", "QueryVectorStore", diff --git a/substrate/_version.py b/substrate/_version.py index eb5ccaa..d6c93dd 100644 --- a/substrate/_version.py +++ b/substrate/_version.py @@ -1 +1 @@ -__version__ = "220240530.0.0" +__version__ = "220240604.0.0" diff --git a/substrate/core/models.py b/substrate/core/models.py index 89ef25f..5e2e12b 100644 --- a/substrate/core/models.py +++ b/substrate/core/models.py @@ -7,18 +7,11 @@ from __future__ import annotations -import os from typing import Any, Dict, List, Optional - -use_pydantic_v1 = os.getenv("USE_PYDANTIC_V1", "0").lower() == "1" - -if use_pydantic_v1: - from pydantic.v1 import Field, BaseModel -else: - from pydantic import Field, BaseModel - from typing_extensions import Literal, Annotated +from pydantic import Field, BaseModel + class ErrorOut(BaseModel): type: Literal["api_error", "invalid_request_error"] @@ -54,13 +47,17 @@ class ExperimentalOut(BaseModel): class RunPythonIn(BaseModel): - code: str + pkl_function: Optional[str] = None """ - Python code to execute. In your code, access values from the `input` parameter using the `SB_IN` variable. Update the `SB_OUT` variable with results you want returned in `output`. + Pickled function. """ - input: Optional[Dict[str, Any]] = None + kwargs: Dict[str, Any] """ - Input to your code, accessible using the preloaded `SB_IN` variable. + Keyword arguments to your function. + """ + python_version: Optional[str] = None + """ + Python version. """ pip_install: Optional[List[str]] = None """ @@ -69,13 +66,17 @@ class RunPythonIn(BaseModel): class RunPythonOut(BaseModel): - stdout: str + output: Optional[Any] = None """ - Everything printed to stdout while running your code. + Return value of your function. """ - output: Dict[str, Any] + pkl_output: Optional[str] = None + """ + Pickled return value. """ - Contents of the `SB_OUT` variable after running your code. + stdout: str + """ + Everything printed to stdout while running your code. """ stderr: str """ @@ -101,7 +102,7 @@ class GenerateTextIn(BaseModel): "Mixtral8x7BInstruct", "Llama3Instruct8B", "Llama3Instruct70B", - ] = "Mistral7BInstruct" + ] = "Llama3Instruct8B" """ Selected node. """ @@ -131,7 +132,7 @@ class GenerateJSONIn(BaseModel): """ Maximum number of tokens to generate. """ - node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Mistral7BInstruct" + node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Llama3Instruct8B" """ Selected node. """ @@ -170,7 +171,7 @@ class MultiGenerateTextIn(BaseModel): "Mixtral8x7BInstruct", "Llama3Instruct8B", "Llama3Instruct70B", - ] = "Mistral7BInstruct" + ] = "Llama3Instruct8B" """ Selected node. """ @@ -226,7 +227,7 @@ class MultiGenerateJSONIn(BaseModel): """ Maximum number of tokens to generate. """ - node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Mistral7BInstruct" + node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Llama3Instruct8B" """ Selected node. """ @@ -240,7 +241,7 @@ class MultiGenerateJSONOut(BaseModel): class BatchGenerateJSONIn(BaseModel): - node: Literal["Mistral7BInstruct", "Llama3Instruct8B"] = "Mistral7BInstruct" + node: Literal["Mistral7BInstruct", "Llama3Instruct8B"] = "Llama3Instruct8B" """ Selected node. """ @@ -1355,7 +1356,7 @@ class CLIPOut(BaseModel): """ -class CreateVectorStoreIn(BaseModel): +class FindOrCreateVectorStoreIn(BaseModel): collection_name: Annotated[str, Field(max_length=63, min_length=1)] """ Vector store name. @@ -1364,21 +1365,9 @@ class CreateVectorStoreIn(BaseModel): """ Selected embedding model. """ - m: Annotated[int, Field(ge=1, le=64)] = 16 - """ - The max number of connections per layer for the index. - """ - ef_construction: Annotated[int, Field(ge=1, le=128)] = 64 - """ - The size of the dynamic candidate list for constructing the index graph. - """ - metric: Literal["cosine", "l2", "inner"] = "inner" - """ - The distance metric to construct the index with. - """ -class CreateVectorStoreOut(BaseModel): +class FindOrCreateVectorStoreOut(BaseModel): collection_name: Annotated[str, Field(max_length=63, min_length=1)] """ Vector store name. @@ -1387,18 +1376,6 @@ class CreateVectorStoreOut(BaseModel): """ Selected embedding model. """ - m: Annotated[int, Field(ge=1, le=64)] - """ - The max number of connections per layer for the index. - """ - ef_construction: Annotated[int, Field(ge=1, le=128)] - """ - The size of the dynamic candidate list for constructing the index graph. - """ - metric: Literal["cosine", "l2", "inner"] - """ - The distance metric to construct the index with. - """ class ListVectorStoresIn(BaseModel): @@ -1406,7 +1383,7 @@ class ListVectorStoresIn(BaseModel): class ListVectorStoresOut(BaseModel): - items: Optional[List[CreateVectorStoreOut]] = None + items: Optional[List[FindOrCreateVectorStoreOut]] = None """ List of vector stores. """ diff --git a/substrate/future_dataclass_models.py b/substrate/future_dataclass_models.py index 31e0f4a..dcbe0fb 100644 --- a/substrate/future_dataclass_models.py +++ b/substrate/future_dataclass_models.py @@ -72,15 +72,20 @@ class FutureRunPythonIn: Future reference to FutureRunPythonIn """ - code: str + kwargs: Dict[str, Any] """ (Future reference) - Python code to execute. In your code, access values from the `input` parameter using the `SB_IN` variable. Update the `SB_OUT` variable with results you want returned in `output`. + Keyword arguments to your function. """ - input: Optional[Dict[str, Any]] = None + pkl_function: Optional[str] = None """ (Future reference) - Input to your code, accessible using the preloaded `SB_IN` variable. + Pickled function. + """ + python_version: Optional[str] = None + """ + (Future reference) + Python version. """ pip_install: Optional[List[str]] = None """ @@ -100,15 +105,20 @@ class FutureRunPythonOut: (Future reference) Everything printed to stdout while running your code. """ - output: Dict[str, Any] + stderr: str """ (Future reference) - Contents of the `SB_OUT` variable after running your code. + Contents of stderr if your code did not run successfully. """ - stderr: str + output: Optional[Any] = None """ (Future reference) - Contents of stderr if your code did not run successfully. + Return value of your function. + """ + pkl_output: Optional[str] = None + """ + (Future reference) + Pickled return value. """ @@ -138,7 +148,7 @@ class FutureGenerateTextIn: "Mixtral8x7BInstruct", "Llama3Instruct8B", "Llama3Instruct70B", - ] = "Mistral7BInstruct" + ] = "Llama3Instruct8B" """ (Future reference) Selected node. @@ -184,7 +194,7 @@ class FutureGenerateJSONIn: (Future reference) Maximum number of tokens to generate. """ - node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Mistral7BInstruct" + node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Llama3Instruct8B" """ (Future reference) Selected node. @@ -240,7 +250,7 @@ class FutureMultiGenerateTextIn: "Mixtral8x7BInstruct", "Llama3Instruct8B", "Llama3Instruct70B", - ] = "Mistral7BInstruct" + ] = "Llama3Instruct8B" """ (Future reference) Selected node. @@ -327,7 +337,7 @@ class FutureMultiGenerateJSONIn: (Future reference) Maximum number of tokens to generate. """ - node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Mistral7BInstruct" + node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Llama3Instruct8B" """ (Future reference) Selected node. @@ -363,7 +373,7 @@ class FutureBatchGenerateJSONIn: (Future reference) JSON schema to guide `json_object` response. """ - node: Literal["Mistral7BInstruct", "Llama3Instruct8B"] = "Mistral7BInstruct" + node: Literal["Mistral7BInstruct", "Llama3Instruct8B"] = "Llama3Instruct8B" """ (Future reference) Selected node. @@ -2083,9 +2093,9 @@ class FutureCLIPOut: @dataclass -class FutureCreateVectorStoreIn: +class FutureFindOrCreateVectorStoreIn: """ - Future reference to FutureCreateVectorStoreIn + Future reference to FutureFindOrCreateVectorStoreIn """ collection_name: str @@ -2098,27 +2108,12 @@ class FutureCreateVectorStoreIn: (Future reference) Selected embedding model. """ - m: int = 16 - """ - (Future reference) - The max number of connections per layer for the index. - """ - ef_construction: int = 64 - """ - (Future reference) - The size of the dynamic candidate list for constructing the index graph. - """ - metric: Literal["cosine", "l2", "inner"] = "inner" - """ - (Future reference) - The distance metric to construct the index with. - """ @dataclass -class FutureCreateVectorStoreOut: +class FutureFindOrCreateVectorStoreOut: """ - Future reference to FutureCreateVectorStoreOut + Future reference to FutureFindOrCreateVectorStoreOut """ collection_name: str @@ -2131,21 +2126,6 @@ class FutureCreateVectorStoreOut: (Future reference) Selected embedding model. """ - m: int - """ - (Future reference) - The max number of connections per layer for the index. - """ - ef_construction: int - """ - (Future reference) - The size of the dynamic candidate list for constructing the index graph. - """ - metric: Literal["cosine", "l2", "inner"] - """ - (Future reference) - The distance metric to construct the index with. - """ @dataclass @@ -2163,7 +2143,7 @@ class FutureListVectorStoresOut: Future reference to FutureListVectorStoresOut """ - items: Optional[List[FutureCreateVectorStoreOut]] = None + items: Optional[List[FutureFindOrCreateVectorStoreOut]] = None """ (Future reference) List of vector stores. diff --git a/substrate/nodes.py b/substrate/nodes.py index 2291d57..c5c2395 100644 --- a/substrate/nodes.py +++ b/substrate/nodes.py @@ -13,7 +13,6 @@ XTTSV2Out, FillMaskOut, EmbedTextOut, - RunPythonOut, EmbedImageOut, ExperimentalOut, FetchVectorsOut, @@ -35,21 +34,19 @@ RemoveBackgroundOut, BatchGenerateJSONOut, BatchGenerateTextOut, - CreateVectorStoreOut, DeleteVectorStoreOut, Llama3Instruct70BOut, Mistral7BInstructOut, MultiGenerateJSONOut, MultiGenerateTextOut, SegmentUnderPointOut, - StableDiffusionXLOut, GenerateTextVisionOut, MultiGenerateImageOut, GenerativeEditImageOut, Mixtral8x7BInstructOut, + FindOrCreateVectorStoreOut, MultiGenerativeEditImageOut, StableDiffusionXLInpaintOut, - StableDiffusionXLIPAdapterOut, StableDiffusionXLLightningOut, StableDiffusionXLControlNetOut, ) @@ -60,7 +57,6 @@ FutureXTTSV2Out, FutureFillMaskOut, FutureEmbedTextOut, - FutureRunPythonOut, FutureEmbedImageOut, FutureExperimentalOut, FutureFetchVectorsOut, @@ -82,21 +78,19 @@ FutureRemoveBackgroundOut, FutureBatchGenerateJSONOut, FutureBatchGenerateTextOut, - FutureCreateVectorStoreOut, FutureDeleteVectorStoreOut, FutureLlama3Instruct70BOut, FutureMistral7BInstructOut, FutureMultiGenerateJSONOut, FutureMultiGenerateTextOut, FutureSegmentUnderPointOut, - FutureStableDiffusionXLOut, FutureGenerateTextVisionOut, FutureMultiGenerateImageOut, FutureGenerativeEditImageOut, FutureMixtral8x7BInstructOut, + FutureFindOrCreateVectorStoreOut, FutureMultiGenerativeEditImageOut, FutureStableDiffusionXLInpaintOut, - FutureStableDiffusionXLIPAdapterOut, FutureStableDiffusionXLLightningOut, FutureStableDiffusionXLControlNetOut, ) @@ -127,43 +121,6 @@ def future(self) -> FutureExperimentalOut: # type: ignore return super().future # type: ignore -class RunPython(CoreNode[RunPythonOut]): - """https://substrate.run/nodes#RunPython""" - - def __init__( - self, - code: str, - input: Optional[Dict[str, Any]] = None, - pip_install: Optional[List[str]] = None, - hide: bool = False, - ): - """ - Args: - code: Python code to execute. In your code, access values from the `input` parameter using the `SB_IN` variable. Update the `SB_OUT` variable with results you want returned in `output`. - input: Input to your code, accessible using the preloaded `SB_IN` variable. - pip_install: Python packages to install. You must import them in your code. - - https://substrate.run/nodes#RunPython - """ - super().__init__( - code=code, - input=input, - pip_install=pip_install, - hide=hide, - out_type=RunPythonOut, - ) - self.node = "RunPython" - - @property - def future(self) -> FutureRunPythonOut: # type: ignore - """ - Future reference to this node's output. - - https://substrate.run/nodes#RunPython - """ - return super().future # type: ignore - - class GenerateText(CoreNode[GenerateTextOut]): """https://substrate.run/nodes#GenerateText""" @@ -177,7 +134,7 @@ def __init__( "Mixtral8x7BInstruct", "Llama3Instruct8B", "Llama3Instruct70B", - ] = "Mistral7BInstruct", + ] = "Llama3Instruct8B", hide: bool = False, ): """ @@ -218,7 +175,7 @@ def __init__( json_schema: Dict[str, Any], temperature: float = 0.4, max_tokens: Optional[int] = None, - node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Mistral7BInstruct", + node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Llama3Instruct8B", hide: bool = False, ): """ @@ -266,7 +223,7 @@ def __init__( "Mixtral8x7BInstruct", "Llama3Instruct8B", "Llama3Instruct70B", - ] = "Mistral7BInstruct", + ] = "Llama3Instruct8B", hide: bool = False, ): """ @@ -347,7 +304,7 @@ def __init__( num_choices: int, temperature: float = 0.4, max_tokens: Optional[int] = None, - node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Mistral7BInstruct", + node: Literal["Mistral7BInstruct", "Mixtral8x7BInstruct", "Llama3Instruct8B"] = "Llama3Instruct8B", hide: bool = False, ): """ @@ -390,7 +347,7 @@ def __init__( self, prompts: List[str], json_schema: Dict[str, Any], - node: Literal["Mistral7BInstruct", "Llama3Instruct8B"] = "Mistral7BInstruct", + node: Literal["Mistral7BInstruct", "Llama3Instruct8B"] = "Llama3Instruct8B", temperature: float = 0.4, max_tokens: Optional[int] = None, hide: bool = False, @@ -730,61 +687,6 @@ def future(self) -> FutureMultiGenerateImageOut: # type: ignore return super().future # type: ignore -class StableDiffusionXL(CoreNode[StableDiffusionXLOut]): - """https://substrate.run/nodes#StableDiffusionXL""" - - def __init__( - self, - prompt: str, - num_images: int, - negative_prompt: Optional[str] = None, - steps: int = 30, - store: Optional[str] = None, - height: int = 1024, - width: int = 1024, - seeds: Optional[List[int]] = None, - guidance_scale: float = 7, - hide: bool = False, - ): - """ - Args: - prompt: Text prompt. - num_images: Number of images to generate. - negative_prompt: Negative input prompt. - steps: Number of diffusion steps. - store: Use "hosted" to return an image URL hosted on Substrate. You can also provide a URL to a registered [file store](https://guides.substrate.run/guides/external-file-storage). If unset, the image data will be returned as a base64-encoded string. - height: Height of output image, in pixels. - width: Width of output image, in pixels. - seeds: Seeds for deterministic generation. Default is a random seed. - guidance_scale: Higher values adhere to the text prompt more strongly, typically at the expense of image quality. - - https://substrate.run/nodes#StableDiffusionXL - """ - super().__init__( - prompt=prompt, - num_images=num_images, - negative_prompt=negative_prompt, - steps=steps, - store=store, - height=height, - width=width, - seeds=seeds, - guidance_scale=guidance_scale, - hide=hide, - out_type=StableDiffusionXLOut, - ) - self.node = "StableDiffusionXL" - - @property - def future(self) -> FutureStableDiffusionXLOut: # type: ignore - """ - Future reference to this node's output. - - https://substrate.run/nodes#StableDiffusionXL - """ - return super().future # type: ignore - - class StableDiffusionXLLightning(CoreNode[StableDiffusionXLLightningOut]): """https://substrate.run/nodes#StableDiffusionXLLightning""" @@ -834,61 +736,6 @@ def future(self) -> FutureStableDiffusionXLLightningOut: # type: ignore return super().future # type: ignore -class StableDiffusionXLIPAdapter(CoreNode[StableDiffusionXLIPAdapterOut]): - """https://substrate.run/nodes#StableDiffusionXLIPAdapter""" - - def __init__( - self, - prompt: str, - image_prompt_uri: str, - num_images: int, - ip_adapter_scale: float = 0.5, - negative_prompt: Optional[str] = None, - store: Optional[str] = None, - width: int = 1024, - height: int = 1024, - seeds: Optional[List[int]] = None, - hide: bool = False, - ): - """ - Args: - prompt: Text prompt. - image_prompt_uri: Image prompt. - num_images: Number of images to generate. - ip_adapter_scale: Controls the influence of the image prompt on the generated output. - negative_prompt: Negative input prompt. - store: Use "hosted" to return an image URL hosted on Substrate. You can also provide a URL to a registered [file store](https://guides.substrate.run/guides/external-file-storage). If unset, the image data will be returned as a base64-encoded string. - width: Width of output image, in pixels. - height: Height of output image, in pixels. - seeds: Random noise seeds. Default is random seeds for each generation. - - https://substrate.run/nodes#StableDiffusionXLIPAdapter - """ - super().__init__( - prompt=prompt, - image_prompt_uri=image_prompt_uri, - num_images=num_images, - ip_adapter_scale=ip_adapter_scale, - negative_prompt=negative_prompt, - store=store, - width=width, - height=height, - seeds=seeds, - hide=hide, - out_type=StableDiffusionXLIPAdapterOut, - ) - self.node = "StableDiffusionXLIPAdapter" - - @property - def future(self) -> FutureStableDiffusionXLIPAdapterOut: # type: ignore - """ - Future reference to this node's output. - - https://substrate.run/nodes#StableDiffusionXLIPAdapter - """ - return super().future # type: ignore - - class StableDiffusionXLControlNet(CoreNode[StableDiffusionXLControlNetOut]): """https://substrate.run/nodes#StableDiffusionXLControlNet""" @@ -1610,45 +1457,36 @@ def future(self) -> FutureCLIPOut: # type: ignore return super().future # type: ignore -class CreateVectorStore(CoreNode[CreateVectorStoreOut]): - """https://substrate.run/nodes#CreateVectorStore""" +class FindOrCreateVectorStore(CoreNode[FindOrCreateVectorStoreOut]): + """https://substrate.run/nodes#FindOrCreateVectorStore""" def __init__( self, collection_name: str, model: Literal["jina-v2", "clip"], - m: int = 16, - ef_construction: int = 64, - metric: Literal["cosine", "l2", "inner"] = "inner", hide: bool = False, ): """ Args: collection_name: Vector store name. model: Selected embedding model. - m: The max number of connections per layer for the index. - ef_construction: The size of the dynamic candidate list for constructing the index graph. - metric: The distance metric to construct the index with. - https://substrate.run/nodes#CreateVectorStore + https://substrate.run/nodes#FindOrCreateVectorStore """ super().__init__( collection_name=collection_name, model=model, - m=m, - ef_construction=ef_construction, - metric=metric, hide=hide, - out_type=CreateVectorStoreOut, + out_type=FindOrCreateVectorStoreOut, ) - self.node = "CreateVectorStore" + self.node = "FindOrCreateVectorStore" @property - def future(self) -> FutureCreateVectorStoreOut: # type: ignore + def future(self) -> FutureFindOrCreateVectorStoreOut: # type: ignore """ Future reference to this node's output. - https://substrate.run/nodes#CreateVectorStore + https://substrate.run/nodes#FindOrCreateVectorStore """ return super().future # type: ignore diff --git a/substrate/run_python.py b/substrate/run_python.py new file mode 100644 index 0000000..b924f52 --- /dev/null +++ b/substrate/run_python.py @@ -0,0 +1,55 @@ +from typing import Any, Dict, List, Callable, Optional + +from .core.models import RunPythonOut +from .core.corenode import CoreNode +from .future_dataclass_models import FutureRunPythonOut + + +class RunPython(CoreNode[RunPythonOut]): + """https://substrate.run/nodes#RunPython""" + + def __init__( + self, + function: Callable, + kwargs: Dict[str, Any] = {}, + pip_install: Optional[List[str]] = None, + hide: bool = False, + ): + """ + Args: + function: The function to run remotely. + kwargs: Keyword arguments to your function. This can include future references to the output of previous nodes. + pip_install: List of pip dependencies to install in your function's sandbox + + https://guides.substrate.run/reference/run-python + """ + import sys + import base64 + + import cloudpickle + + og_module = function.__module__ + function.__module__ = "__main__" + fn_bytes = cloudpickle.dumps(function) + function.__module__ = og_module + fn_str = base64.b64encode(fn_bytes).decode("utf-8") + + python_version = sys.version.split()[0] + super().__init__( + pkl_function=fn_str, + kwargs=kwargs, + pip_install=pip_install, + hide=hide, + python_version=python_version, + out_type=RunPythonOut, + ) + self.node = "RunPython" + + @property + def future(self) -> FutureRunPythonOut: # type: ignore + """ + Future reference to this node's output. + + https://guides.substrate.run/reference/run-python + """ + return super().future # type: ignore diff --git a/substrate/typeddict_models.py b/substrate/typeddict_models.py index 124dd65..b14f66a 100644 --- a/substrate/typeddict_models.py +++ b/substrate/typeddict_models.py @@ -45,13 +45,17 @@ class ExperimentalOut(TypedDict): class RunPythonIn(TypedDict): - code: NotRequired[str] + pkl_function: NotRequired[str] """ - Python code to execute. In your code, access values from the `input` parameter using the `SB_IN` variable. Update the `SB_OUT` variable with results you want returned in `output`. + Pickled function. """ - input: NotRequired[Dict[str, Any]] + kwargs: NotRequired[Dict[str, Any]] """ - Input to your code, accessible using the preloaded `SB_IN` variable. + Keyword arguments to your function. + """ + python_version: NotRequired[str] + """ + Python version. """ pip_install: NotRequired[List[str]] """ @@ -60,13 +64,17 @@ class RunPythonIn(TypedDict): class RunPythonOut(TypedDict): - stdout: NotRequired[str] + output: NotRequired[Any] """ - Everything printed to stdout while running your code. + Return value of your function. """ - output: NotRequired[Dict[str, Any]] + pkl_output: NotRequired[str] + """ + Pickled return value. """ - Contents of the `SB_OUT` variable after running your code. + stdout: NotRequired[str] + """ + Everything printed to stdout while running your code. """ stderr: NotRequired[str] """ @@ -1350,7 +1358,7 @@ class CLIPOut(TypedDict): """ -class CreateVectorStoreIn(TypedDict): +class FindOrCreateVectorStoreIn(TypedDict): collection_name: NotRequired[str] """ Vector store name. @@ -1359,21 +1367,9 @@ class CreateVectorStoreIn(TypedDict): """ Selected embedding model. """ - m: NotRequired[int] - """ - The max number of connections per layer for the index. - """ - ef_construction: NotRequired[int] - """ - The size of the dynamic candidate list for constructing the index graph. - """ - metric: NotRequired[Literal["cosine", "l2", "inner"]] - """ - The distance metric to construct the index with. - """ -class CreateVectorStoreOut(TypedDict): +class FindOrCreateVectorStoreOut(TypedDict): collection_name: NotRequired[str] """ Vector store name. @@ -1382,18 +1378,6 @@ class CreateVectorStoreOut(TypedDict): """ Selected embedding model. """ - m: NotRequired[int] - """ - The max number of connections per layer for the index. - """ - ef_construction: NotRequired[int] - """ - The size of the dynamic candidate list for constructing the index graph. - """ - metric: NotRequired[Literal["cosine", "l2", "inner"]] - """ - The distance metric to construct the index with. - """ class ListVectorStoresIn(TypedDict): @@ -1401,7 +1385,7 @@ class ListVectorStoresIn(TypedDict): class ListVectorStoresOut(TypedDict): - items: NotRequired[List[CreateVectorStoreOut]] + items: NotRequired[List[FindOrCreateVectorStoreOut]] """ List of vector stores. """