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7c1998db25
This allows a set of rules to be defined for determining access to
resources. The rules are (loosely) based on the cedar policy format.
A rule defines a list of action either to permit or to forbid. It may
specify a principal or a resource that must match for the rule to take
effect. It may also specify a condition, either a 'when' or an 'unless',
with additional constraints as to where the rule applies.
A list of rules is held for each type to be protected and tried in order
to find a match. If a match is found, the request is permitted or
forbidden depening on the type of rule. If no match is found, the
request is denied. If no rules are specified for a given type, a rule
that allows any action as long as the resource attributes match the user
attributes is added (i.e. the previous behaviour is the default.
Some examples in yaml:
```
model:
- permit:
principal: user-1
actions: [create, read, delete]
comment: user-1 has full access to all models
- permit:
principal: user-2
actions: [read]
resource: model-1
comment: user-2 has read access to model-1 only
- permit:
actions: [read]
when:
user_in: resource.namespaces
comment: any user has read access to models with matching attributes
vector_db:
- forbid:
actions: [create, read, delete]
unless:
user_in: role::admin
comment: only user with admin role can use vector_db resources
```
---------
Signed-off-by: Gordon Sim <gsim@redhat.com>
58 lines
2.1 KiB
Python
58 lines
2.1 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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from typing import Any
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from llama_stack.apis.benchmarks import Benchmark, Benchmarks, ListBenchmarksResponse
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from llama_stack.distribution.datatypes import (
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BenchmarkWithOwner,
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)
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from llama_stack.log import get_logger
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from .common import CommonRoutingTableImpl
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logger = get_logger(name=__name__, category="core")
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class BenchmarksRoutingTable(CommonRoutingTableImpl, Benchmarks):
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async def list_benchmarks(self) -> ListBenchmarksResponse:
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return ListBenchmarksResponse(data=await self.get_all_with_type("benchmark"))
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async def get_benchmark(self, benchmark_id: str) -> Benchmark:
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benchmark = await self.get_object_by_identifier("benchmark", benchmark_id)
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if benchmark is None:
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raise ValueError(f"Benchmark '{benchmark_id}' not found")
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return benchmark
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async def register_benchmark(
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self,
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benchmark_id: str,
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dataset_id: str,
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scoring_functions: list[str],
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metadata: dict[str, Any] | None = None,
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provider_benchmark_id: str | None = None,
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provider_id: str | None = None,
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) -> None:
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if metadata is None:
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metadata = {}
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if provider_id is None:
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if len(self.impls_by_provider_id) == 1:
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provider_id = list(self.impls_by_provider_id.keys())[0]
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else:
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raise ValueError(
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"No provider specified and multiple providers available. Please specify a provider_id."
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)
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if provider_benchmark_id is None:
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provider_benchmark_id = benchmark_id
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benchmark = BenchmarkWithOwner(
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identifier=benchmark_id,
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dataset_id=dataset_id,
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scoring_functions=scoring_functions,
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metadata=metadata,
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provider_id=provider_id,
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provider_resource_id=provider_benchmark_id,
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)
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await self.register_object(benchmark)
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