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# What does this PR do? - Removed Optional return types for GET methods - Raised ValueError when requested resource is not found - Ensures proper 4xx response for missing resources - Updated the API generator to check for wrong signatures ``` $ uv run --with ".[dev]" ./docs/openapi_generator/run_openapi_generator.sh Validating API method return types... API Method Return Type Validation Errors: Method ScoringFunctions.get_scoring_function returns Optional type ``` Closes: https://github.com/meta-llama/llama-stack/issues/1630 ## Test Plan Run the server then: ``` curl http://127.0.0.1:8321/v1/models/foo {"detail":"Invalid value: Model 'foo' not found"}% ``` Server log: ``` INFO: 127.0.0.1:52307 - "GET /v1/models/foo HTTP/1.1" 400 Bad Request 09:51:42.654 [END] /v1/models/foo [StatusCode.OK] (134.65ms) 09:51:42.651 [ERROR] Error executing endpoint route='/v1/models/{model_id:path}' method='get' Traceback (most recent call last): File "/Users/leseb/Documents/AI/llama-stack/llama_stack/distribution/server/server.py", line 193, in endpoint return await maybe_await(value) File "/Users/leseb/Documents/AI/llama-stack/llama_stack/distribution/server/server.py", line 156, in maybe_await return await value File "/Users/leseb/Documents/AI/llama-stack/llama_stack/providers/utils/telemetry/trace_protocol.py", line 102, in async_wrapper result = await method(self, *args, **kwargs) File "/Users/leseb/Documents/AI/llama-stack/llama_stack/distribution/routers/routing_tables.py", line 217, in get_model raise ValueError(f"Model '{model_id}' not found") ValueError: Model 'foo' not found ``` Signed-off-by: Sébastien Han <seb@redhat.com>
91 lines
2.9 KiB
Python
91 lines
2.9 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described found in the
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# LICENSE file in the root directory of this source tree.
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from datetime import datetime
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from pathlib import Path
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import sys
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import fire
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import ruamel.yaml as yaml
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from llama_stack.apis.version import LLAMA_STACK_API_VERSION # noqa: E402
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from llama_stack.distribution.stack import LlamaStack # noqa: E402
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from .pyopenapi.options import Options # noqa: E402
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from .pyopenapi.specification import Info, Server # noqa: E402
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from .pyopenapi.utility import Specification, validate_api_method_return_types # noqa: E402
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def str_presenter(dumper, data):
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if data.startswith(f"/{LLAMA_STACK_API_VERSION}") or data.startswith(
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"#/components/schemas/"
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):
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style = None
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else:
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style = ">" if "\n" in data or len(data) > 40 else None
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return dumper.represent_scalar("tag:yaml.org,2002:str", data, style=style)
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def main(output_dir: str):
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output_dir = Path(output_dir)
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if not output_dir.exists():
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raise ValueError(f"Directory {output_dir} does not exist")
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# Validate API protocols before generating spec
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print("Validating API method return types...")
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return_type_errors = validate_api_method_return_types()
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if return_type_errors:
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print("\nAPI Method Return Type Validation Errors:\n")
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for error in return_type_errors:
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print(error)
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sys.exit(1)
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now = str(datetime.now())
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print(
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"Converting the spec to YAML (openapi.yaml) and HTML (openapi.html) at " + now
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)
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print("")
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spec = Specification(
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LlamaStack,
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Options(
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server=Server(url="http://any-hosted-llama-stack.com"),
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info=Info(
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title="Llama Stack Specification",
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version=LLAMA_STACK_API_VERSION,
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description="""This is the specification of the Llama Stack that provides
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a set of endpoints and their corresponding interfaces that are tailored to
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best leverage Llama Models.""",
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),
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include_standard_error_responses=True,
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),
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)
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with open(output_dir / "llama-stack-spec.yaml", "w", encoding="utf-8") as fp:
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y = yaml.YAML()
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y.default_flow_style = False
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y.block_seq_indent = 2
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y.map_indent = 2
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y.sequence_indent = 4
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y.sequence_dash_offset = 2
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y.width = 80
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y.allow_unicode = True
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y.representer.add_representer(str, str_presenter)
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y.dump(
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spec.get_json(),
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fp,
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)
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with open(output_dir / "llama-stack-spec.html", "w") as fp:
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spec.write_html(fp, pretty_print=True)
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if __name__ == "__main__":
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fire.Fire(main)
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