80 lines
2.3 KiB
Python
80 lines
2.3 KiB
Python
from mlflow.models.resources import Resource, _ResourceBuilder
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class UserAuthPolicy:
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"""
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A minimal list of scopes that the user should have access to
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in order to invoke this model
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Note: This is only compatible with Databricks Environment currently.
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TODO: Add Databricks Documentation for User Auth Policy
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Args:
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api_scopes: A list of scopes. Example: "vectorsearch.vector-search-indexes", "sql"
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"""
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def __init__(self, api_scopes: list[str]):
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self._api_scopes = api_scopes
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@property
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def api_scopes(self) -> list[str]:
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return self._api_scopes
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@api_scopes.setter
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def api_scopes(self, value: list[str]):
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self._api_scopes = value
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def to_dict(self):
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return {"api_scopes": self.api_scopes}
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class SystemAuthPolicy:
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"""
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System Auth Policy, which defines a list of resources required to
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serve this model
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"""
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def __init__(self, resources: list[Resource]):
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self._resources = resources
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@property
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def resources(self) -> list[Resource]:
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return self._resources
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@resources.setter
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def resources(self, value: list[Resource]):
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self._resources = value
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def to_dict(self):
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serialized_resources = _ResourceBuilder.from_resources(self.resources)
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return {"resources": serialized_resources}
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class AuthPolicy:
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"""
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Specifies the authentication policy for the model, which includes two key
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components.
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System Auth Policy: A list of resources required to serve this model
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User Auth Policy: A minimal list of scopes that the user should
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have access to, in order to invoke this model
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"""
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def __init__(
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self,
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user_auth_policy: UserAuthPolicy | None = None,
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system_auth_policy: SystemAuthPolicy | None = None,
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):
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self.user_auth_policy = user_auth_policy
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self.system_auth_policy = system_auth_policy
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def to_dict(self):
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"""
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Serialize Auth Policy to a dictionary
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"""
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return {
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"system_auth_policy": self.system_auth_policy.to_dict()
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if self.system_auth_policy
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else {},
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"user_auth_policy": self.user_auth_policy.to_dict() if self.user_auth_policy else {},
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}
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