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"0.95.2" +version = "0.108.0" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "fastapi-0.95.2-py3-none-any.whl", hash = "sha256:d374dbc4ef2ad9b803899bd3360d34c534adc574546e25314ab72c0c4411749f"}, - {file = "fastapi-0.95.2.tar.gz", hash = "sha256:4d9d3e8c71c73f11874bcf5e33626258d143252e329a01002f767306c64fb982"}, + {file = "fastapi-0.108.0-py3-none-any.whl", hash = "sha256:8c7bc6d315da963ee4cdb605557827071a9a7f95aeb8fcdd3bde48cdc8764dd7"}, + {file = "fastapi-0.108.0.tar.gz", hash = "sha256:5056e504ac6395bf68493d71fcfc5352fdbd5fda6f88c21f6420d80d81163296"}, ] [package.dependencies] -pydantic = ">=1.6.2,<1.7 || >1.7,<1.7.1 || >1.7.1,<1.7.2 || >1.7.2,<1.7.3 || >1.7.3,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0" -starlette = ">=0.27.0,<0.28.0" +pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" +starlette = ">=0.29.0,<0.33.0" +typing-extensions = ">=4.8.0" [package.extras] -all = ["email-validator (>=1.1.1)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] -dev = ["pre-commit (>=2.17.0,<3.0.0)", "ruff (==0.0.138)", "uvicorn[standard] (>=0.12.0,<0.21.0)"] -doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.3.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pyyaml (>=5.3.1,<7.0.0)", "typer-cli (>=0.0.13,<0.0.14)", "typer[all] (>=0.6.1,<0.8.0)"] -test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==23.1.0)", "coverage[toml] (>=6.5.0,<8.0)", "databases[sqlite] (>=0.3.2,<0.7.0)", "email-validator (>=1.1.1,<2.0.0)", "flask (>=1.1.2,<3.0.0)", "httpx (>=0.23.0,<0.24.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.982)", "orjson (>=3.2.1,<4.0.0)", 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">=10.0", optional = true, markers = "extra == \"standard\""} +websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""} [package.extras] -standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.0)"] +standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] [[package]] name = "uvloop" diff --git a/python/kserve/kserve/protocol/rest/v2_datamodels.py b/python/kserve/kserve/protocol/rest/v2_datamodels.py index 48255d54494..6b69d751d4a 100644 --- a/python/kserve/kserve/protocol/rest/v2_datamodels.py +++ b/python/kserve/kserve/protocol/rest/v2_datamodels.py @@ -14,8 +14,17 @@ from typing import Optional, List, Union, Dict import orjson +import pydantic + from pydantic import BaseModel, StrictBool, StrictInt, StrictFloat + +# this is needed to add support for both pydantic 1.x and 2.x +is_pydantic_2 = pydantic.__version__.startswith("2.") + +if is_pydantic_2: + from pydantic import ConfigDict + # TODO: in the future, this file can be auto generated # https://pydantic-docs.helpmanual.io/datamodel_code_generator/ @@ -26,38 +35,47 @@ Parameters = Dict[str, InferParameter] +server_live_response_schema_extra = {"example": {"live": True}} + + class ServerLiveResponse(BaseModel): live: bool - class Config: - schema_extra = { - "example": { - "live": True - } - } + if is_pydantic_2: + model_config = ConfigDict(json_schema_extra=server_live_response_schema_extra) + + else: + + class Config: + schema_extra = server_live_response_schema_extra + + +server_ready_response_schema_extra = {"example": {"ready": True}} class ServerReadyResponse(BaseModel): ready: bool - class Config: - schema_extra = { - "example": { - "ready": True - } - } + if is_pydantic_2: + model_config = ConfigDict(json_schema_extra=server_ready_response_schema_extra) + + else: + + class Config: + schema_extra = server_ready_response_schema_extra class ServerMetadataResponse(BaseModel): """ServerMetadataResponse - $server_metadata_response = - { - "name" : $string, - "version" : $string, - "extensions" : [ $string, ... ] - } + $server_metadata_response = + { + "name" : $string, + "version" : $string, + "extensions" : [ $string, ... ] + } """ + name: str version: str extensions: List[str] @@ -66,13 +84,14 @@ class ServerMetadataResponse(BaseModel): class MetadataTensor(BaseModel): """MetadataTensor - $metadata_tensor = - { - "name" : $string, - "datatype" : $string, - "shape" : [ $number, ... ] - } + $metadata_tensor = + { + "name" : $string, + "datatype" : $string, + "shape" : [ $number, ... ] + } """ + name: str datatype: str shape: List[int] @@ -81,28 +100,30 @@ class MetadataTensor(BaseModel): class ListModelsResponse(BaseModel): """ListModelsResponse - $models_list_response = - { - "models" : [ $string, ... ] - } + $models_list_response = + { + "models" : [ $string, ... ] + } """ + models: List[str] class ModelMetadataResponse(BaseModel): """ModelMetadataResponse - $metadata_model_response = - { - "name" : $string, - "versions" : [ $string, ... ] #optional, - "platform" : $string, - "inputs" : [ $metadata_tensor, ... ], - "outputs" : [ $metadata_tensor, ... ] - } + $metadata_model_response = + { + "name" : $string, + "versions" : [ $string, ... ] #optional, + "platform" : $string, + "inputs" : [ $metadata_tensor, ... ], + "outputs" : [ $metadata_tensor, ... ] + } """ + name: str - versions: Optional[List[str]] + versions: Optional[List[str]] = None platform: str inputs: List[MetadataTensor] outputs: List[MetadataTensor] @@ -111,12 +132,13 @@ class ModelMetadataResponse(BaseModel): class ModelReadyResponse(BaseModel): """ModelReadyResponse - $ready_model_response = - { - "name": $string, - "ready": $bool - } + $ready_model_response = + { + "name": $string, + "ready": $bool + } """ + name: str ready: bool @@ -124,290 +146,362 @@ class ModelReadyResponse(BaseModel): class RequestInput(BaseModel): """RequestInput Model - $request_input = - { - "name" : $string, - "shape" : [ $number, ... ], - "datatype" : $string, - "parameters" : $parameters #optional, - "data" : $tensor_data - } + $request_input = + { + "name" : $string, + "shape" : [ $number, ... ], + "datatype" : $string, + "parameters" : $parameters #optional, + "data" : $tensor_data + } """ + name: str shape: List[int] datatype: str - parameters: Optional[Parameters] + parameters: Optional[Parameters] = None data: List class RequestOutput(BaseModel): """RequestOutput Model - $request_output = - { - "name" : $string, - "parameters" : $parameters #optional, - } + $request_output = + { + "name" : $string, + "parameters" : $parameters #optional, + } """ + name: str - parameters: Optional[Parameters] + parameters: Optional[Parameters] = None class ResponseOutput(BaseModel): """ResponseOutput Model - $response_output = - { - "name" : $string, - "shape" : [ $number, ... ], - "datatype" : $string, - "parameters" : $parameters #optional, - "data" : $tensor_data - } + $response_output = + { + "name" : $string, + "shape" : [ $number, ... ], + "datatype" : $string, + "parameters" : $parameters #optional, + "data" : $tensor_data + } """ + name: str shape: List[int] datatype: str - parameters: Optional[Parameters] + parameters: Optional[Parameters] = None data: List +inference_request_schema_extra = { + "example": { + "id": "42", + "inputs": [ + { + "name": "input0", + "shape": [2, 2], + "datatype": "UINT32", + "data": [1, 2, 3, 4], + }, + {"name": "input1", "shape": [3], "datatype": "BOOL", "data": ["true"]}, + ], + "outputs": [{"name": "output0"}], + } +} + + class InferenceRequest(BaseModel): """InferenceRequest Model - $inference_request = - { - "id" : $string #optional, - "parameters" : $parameters #optional, - "inputs" : [ $request_input, ... ], - "outputs" : [ $request_output, ... ] #optional - } + $inference_request = + { + "id" : $string #optional, + "parameters" : $parameters #optional, + "inputs" : [ $request_input, ... ], + "outputs" : [ $request_output, ... ] #optional + } """ - id: Optional[str] + + id: Optional[str] = None parameters: Optional[Parameters] = None inputs: List[RequestInput] outputs: Optional[List[RequestOutput]] = None - class Config: - json_loads = orjson.loads - schema_extra = { - "example": { - "id": "42", - "inputs": [ - { - "name": "input0", - "shape": [2, 2], - "datatype": "UINT32", - "data": [1, 2, 3, 4] - }, - { - "name": "input1", - "shape": [3], - "datatype": "BOOL", - "data": ["true"] - } - ], - "outputs": [ - { - "name": "output0" - } - ] + if is_pydantic_2: + model_config = ConfigDict( + json_loads=orjson.loads, json_schema_extra=inference_request_schema_extra + ) + + else: + + class Config: + json_loads = orjson.loads + schema_extra = inference_request_schema_extra + + +inference_response_schema_extra = { + "example": { + "id": "42", + "outputs": [ + { + "name": "output0", + "shape": [3, 2], + "datatype": "FP32", + "data": [1.0, 1.1, 2.0, 2.1, 3.0, 3.1], } - } + ], + } +} class InferenceResponse(BaseModel): """InferenceResponse - $inference_response = - { - "model_name" : $string, - "model_version" : $string #optional, - "id" : $string, - "parameters" : $parameters #optional, - "outputs" : [ $response_output, ... ] - } + $inference_response = + { + "model_name" : $string, + "model_version" : $string #optional, + "id" : $string, + "parameters" : $parameters #optional, + "outputs" : [ $response_output, ... ] + } """ + model_name: str - model_version: Optional[str] + model_version: Optional[str] = None id: str - parameters: Optional[Parameters] + parameters: Optional[Parameters] = None outputs: List[ResponseOutput] - class Config: - schema_extra = { - "example": { - "id": "42", - "outputs": [ - { - "name": "output0", - "shape": [3, 2], - "datatype": "FP32", - "data": [1.0, 1.1, 2.0, 2.1, 3.0, 3.1] - } - ] - } - } + if is_pydantic_2: + model_config = ConfigDict( + protected_namespaces=(), json_schema_extra=inference_response_schema_extra + ) + else: + + class Config: + schema_extra = inference_response_schema_extra + + +generate_request_schema_extra = { + "example": { + "text_input": "Tell me about the AI", + "parameters": { + "temperature": 0.8, + "top_p": 0.9, + }, + } +} class GenerateRequest(BaseModel): """GenerateRequest Model - $generate_request = - { - "text_input" : $string, - "parameters" : $string #optional, - } + $generate_request = + { + "text_input" : $string, + "parameters" : $string #optional, + } """ + text_input: str parameters: Optional[Parameters] = None - class Config: - json_loads = orjson.loads - schema_extra = { - "example": { - "text_input": "Tell me about the AI", - "parameters": - { - "temperature": 0.8, - "top_p": 0.9, - } - } - } + if is_pydantic_2: + model_config = ConfigDict( + json_loads=orjson.loads, json_schema_extra=generate_request_schema_extra + ) + else: + + class Config: + json_loads = orjson.loads + schema_extra = generate_request_schema_extra + + +token_schema_extra = { + "example": { + "id": 267, + "logprob": -2.0723474, + "special": False, + "text": " a", + } +} class Token(BaseModel): - """Token Data Model + """Token Data Model""" - """ id: int logprob: float special: bool text: str - class Config: - json_loads = orjson.loads - schema_extra = { - "example": { + if is_pydantic_2: + model_config = ConfigDict( + json_loads=orjson.loads, json_schema_extra=token_schema_extra + ) + else: + + class Config: + json_loads = orjson.loads + schema_extra = token_schema_extra + + +details_schema_extra = { + "example": { + "finish_reason": "stop", + "logprobs": [ + { "id": 267, "logprob": -2.0723474, "special": False, "text": " a", } - } + ], + } +} class Details(BaseModel): - """Generate response details + """Generate response details""" - """ finish_reason: str logprobs: List[Token] - class Config: - json_loads = orjson.loads - schema_extra = { - "example": { - "finish_reason": "stop", - "logprobs": [{ - "id": 267, - "logprob": -2.0723474, - "special": False, - "text": " a", - }] - } - } + if is_pydantic_2: + model_config = ConfigDict( + json_loads=orjson.loads, + json_schema_extra=details_schema_extra, + ) + else: + class Config: + json_loads = orjson.loads + schema_extra = details_schema_extra + + +streaming_details_schema_extra = { + "example": { + "finish_reason": "stop", + "logprobs": { + "id": 267, + "logprob": -2.0723474, + "special": False, + "text": " a", + }, + } +} class StreamingDetails(BaseModel): - """Generate response details + """Generate response details""" - """ finish_reason: str logprobs: Token - class Config: - json_loads = orjson.loads - schema_extra = { - "example": { - "finish_reason": "stop", - "logprobs": { - "id": 267, - "logprob": -2.0723474, - "special": False, - "text": " a", + if is_pydantic_2: + model_config = ConfigDict( + json_loads=orjson.loads, + json_schema_extra=streaming_details_schema_extra, + ) + else: + + class Config: + json_loads = orjson.loads + schema_extra = streaming_details_schema_extra + + +generate_response_schema_extra = { + "example": { + "text_output": "Tell me about the AI", + "model_name": "bloom7b1", + "details": { + "finish_reason": "stop", + "logprobs": [ + { + "id": "267", + "logprob": -2.0723474, + "special": False, + "text": " a", } - } - } + ], + }, + } +} class GenerateResponse(BaseModel): """GenerateResponse Model - $generate_response = - { - "text_output" : $string, - "model_name" : $string, - "model_version" : $string #optional, - "details": $Details #optional - } + $generate_response = + { + "text_output" : $string, + "model_name" : $string, + "model_version" : $string #optional, + "details": $Details #optional + } """ + text_output: str model_name: str - model_version: Optional[str] - details: Optional[Details] - - class Config: - json_loads = orjson.loads - schema_extra = { - "example": { - "text_output": "Tell me about the AI", - "model_name": "bloom7b1", - "details": { - "finish_reason": "stop", - "logprobs": [ - { - "id": "267", - "logprob": -2.0723474, - "special": False, - "text": " a", - } - ] - } - } - } + model_version: Optional[str] = None + details: Optional[Details] = None + + if is_pydantic_2: + model_config = ConfigDict( + json_loads=orjson.loads, json_schema_extra=generate_response_schema_extra + ) + else: + + class Config: + json_loads = orjson.loads + schema_extra = generate_response_schema_extra + + +generate_streaming_response_schema_extra = { + "example": { + "text_output": "Tell me about the AI", + "model_name": "bloom7b1", + "details": { + "finish_reason": "stop", + "logprobs": { + "id": "267", + "logprob": -2.0723474, + "special": False, + "text": " a", + }, + }, + } +} class GenerateStreamingResponse(BaseModel): """GenerateStreamingResponse Model - $generate_response = - { - "text_output" : $string, - "model_name" : $string, - "model_version" : $string #optional, - "details": $Details #optional - } + $generate_response = + { + "text_output" : $string, + "model_name" : $string, + "model_version" : $string #optional, + "details": $Details #optional + } """ + text_output: str model_name: str - model_version: Optional[str] - details: Optional[StreamingDetails] - - class Config: - json_loads = orjson.loads - schema_extra = { - "example": { - "text_output": "Tell me about the AI", - "model_name": "bloom7b1", - "details": { - "finish_reason": "stop", - "logprobs": { - "id": "267", - "logprob": -2.0723474, - "special": False, - "text": " a", - } - } - } - } + model_version: Optional[str] = None + details: Optional[StreamingDetails] = None + + if is_pydantic_2: + model_config = ConfigDict( + json_loads=orjson.loads, + json_schema_extra=generate_streaming_response_schema_extra, + ) + + else: + class Config: + json_loads = orjson.loads + schema_extra = generate_streaming_response_schema_extra diff --git a/python/kserve/poetry.lock b/python/kserve/poetry.lock index 75634df7abf..27163d02736 100644 --- a/python/kserve/poetry.lock +++ b/python/kserve/poetry.lock @@ -135,6 +135,20 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" +[[package]] +name = "annotated-types" +version = "0.6.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +files = [ + {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, + {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, +] + +[package.dependencies] +typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} + [[package]] name = "ansicon" version = "1.89.0" @@ -793,24 +807,22 @@ testing = ["hatch", "pre-commit", "pytest", "tox"] [[package]] name = "fastapi" -version = "0.95.2" +version = "0.108.0" description = 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pydantic >= 2 + # eg {"name":"TestModel","ready":"True"} vs {"name":"TestModel","ready":true} + if is_pydantic_2: + expected_content = b'{"name":"TestModel","ready":true}' + else: + expected_content = b'{"name":"TestModel","ready":"True"}' + assert resp.content == expected_content def test_predict(self, http_server_client): resp = http_server_client.post('/v1/models/TestModel:predict', diff --git a/python/lgbserver/poetry.lock b/python/lgbserver/poetry.lock index 39323df15c5..d200fc78e20 100644 --- a/python/lgbserver/poetry.lock +++ b/python/lgbserver/poetry.lock @@ -135,6 +135,20 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" +[[package]] +name = "annotated-types" +version = "0.6.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +files = [ + {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, + {file = 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