Files
SciMesh/scimesh/sdk/execution.py
T

470 lines
17 KiB
Python

"""Execution, retry, checkpoint, cancellation, and failure declarations."""
from __future__ import annotations
from dataclasses import dataclass
from enum import Enum
from types import MappingProxyType
from typing import Any, Mapping
from ._validation import (
enum_value,
freeze_json_mapping,
require_exact_keys,
require_identifier,
require_nonnegative_int,
require_safe_message,
require_positive_int,
require_string,
thaw_json,
)
from .identity import SchemaRef
from .resources import ResourceAllocation, ResourceRequirements
class ProcessModel(str, Enum):
"""How a task's code is executed.
``SINGLE`` is the only profile the local conformance runtime executes;
the other models require runtime features that are fail-closed in v1.
"""
SINGLE = "single"
PROCESS_POOL = "process_pool"
THREAD_POOL = "thread_pool"
EXTERNAL_RUNTIME = "external_runtime"
class NetworkPolicy(str, Enum):
"""Network isolation declared for a stage.
``TRUSTED`` is the only policy the local conformance runtime accepts;
stricter policies require runtime enforcement.
"""
NONE = "none"
COORDINATOR_ARTIFACTS_ONLY = "coordinator_artifacts_only"
ALLOWLISTED_EGRESS = "allowlisted_egress"
TRUSTED = "trusted"
class FailureCategory(str, Enum):
"""Sanitized failure classification for retry and reporting policy."""
INPUT = "input"
SCIENTIFIC = "scientific"
RESOURCE = "resource"
INFRASTRUCTURE = "infrastructure"
LEASE = "lease"
VERIFICATION = "verification"
POLICY = "policy"
@dataclass(frozen=True, slots=True)
class RetryPolicy:
"""Retry budget and backoff for a stage.
``max_attempts`` greater than one requires the runtime to advertise
``retries``; the local conformance executor rejects retries.
"""
max_attempts: int = 1
retryable_categories: tuple[FailureCategory, ...] = ()
initial_backoff_seconds: int = 1
max_backoff_seconds: int = 60
def __post_init__(self) -> None:
object.__setattr__(
self,
"max_attempts",
require_positive_int(self.max_attempts, "retry.max_attempts"),
)
categories = tuple(
enum_value(FailureCategory, value, "retryable_category")
for value in self.retryable_categories
)
if len(categories) != len(set(categories)):
raise ValueError("retryable_categories must be unique")
object.__setattr__(self, "retryable_categories", categories)
object.__setattr__(
self,
"initial_backoff_seconds",
require_nonnegative_int(
self.initial_backoff_seconds, "retry.initial_backoff_seconds"
),
)
object.__setattr__(
self,
"max_backoff_seconds",
require_nonnegative_int(
self.max_backoff_seconds, "retry.max_backoff_seconds"
),
)
if self.max_backoff_seconds < self.initial_backoff_seconds:
raise ValueError(
"retry max_backoff_seconds must not be less than initial_backoff_seconds"
)
if self.max_attempts == 1 and categories:
raise ValueError("a non-retrying policy must not list retryable categories")
def to_dict(self) -> dict[str, object]:
return {
"max_attempts": self.max_attempts,
"retryable_categories": [
category.value for category in self.retryable_categories
],
"initial_backoff_seconds": self.initial_backoff_seconds,
"max_backoff_seconds": self.max_backoff_seconds,
}
@classmethod
def from_dict(cls, value: object) -> "RetryPolicy":
if not isinstance(value, Mapping):
raise ValueError("retry policy must be an object")
fields = {
"max_attempts",
"retryable_categories",
"initial_backoff_seconds",
"max_backoff_seconds",
}
require_exact_keys(value, fields, "retry policy")
categories = value["retryable_categories"]
if not isinstance(categories, list):
raise ValueError("retryable_categories must be an array")
return cls(
max_attempts=value["max_attempts"], # type: ignore[arg-type]
retryable_categories=tuple(categories),
initial_backoff_seconds=value["initial_backoff_seconds"], # type: ignore[arg-type]
max_backoff_seconds=value["max_backoff_seconds"], # type: ignore[arg-type]
)
@dataclass(frozen=True, slots=True)
class CheckpointPolicy:
"""Checkpoint declaration for a stage.
Declared but not executable until a runtime advertises ``checkpoints``;
enabled policies require a schema and a compatibility version.
"""
enabled: bool = False
schema: SchemaRef | None = None
compatibility_version: int | None = None
interval_seconds: int | None = None
def __post_init__(self) -> None:
if not isinstance(self.enabled, bool):
raise ValueError("checkpoint.enabled must be a boolean")
if not self.enabled:
if any(
value is not None
for value in (
self.schema,
self.compatibility_version,
self.interval_seconds,
)
):
raise ValueError(
"disabled checkpoint policy must not declare checkpoint fields"
)
return
if not isinstance(self.schema, SchemaRef):
raise ValueError("enabled checkpoint policy requires a schema")
if self.compatibility_version is None:
raise ValueError(
"enabled checkpoint policy requires a compatibility_version"
)
object.__setattr__(
self,
"compatibility_version",
require_positive_int(
self.compatibility_version, "checkpoint.compatibility_version"
),
)
if self.interval_seconds is not None:
object.__setattr__(
self,
"interval_seconds",
require_positive_int(
self.interval_seconds, "checkpoint.interval_seconds"
),
)
def to_dict(self) -> dict[str, object]:
return {
"enabled": self.enabled,
"schema": self.schema.canonical if self.schema is not None else None,
"compatibility_version": self.compatibility_version,
"interval_seconds": self.interval_seconds,
}
@classmethod
def from_dict(cls, value: object) -> "CheckpointPolicy":
if not isinstance(value, Mapping):
raise ValueError("checkpoint policy must be an object")
fields = {"enabled", "schema", "compatibility_version", "interval_seconds"}
require_exact_keys(value, fields, "checkpoint policy")
raw_schema = value["schema"]
return cls(
enabled=value["enabled"], # type: ignore[arg-type]
schema=None if raw_schema is None else SchemaRef.from_dict(raw_schema),
compatibility_version=value["compatibility_version"], # type: ignore[arg-type]
interval_seconds=value["interval_seconds"], # type: ignore[arg-type]
)
@dataclass(frozen=True, slots=True)
class ExecutionProfile:
profile: str
process_model: ProcessModel = ProcessModel.SINGLE
max_processes: int = 1
threads_per_process: int = 1
native_threads: int = 1
nested_parallelism: bool = False
network: NetworkPolicy = NetworkPolicy.NONE
timeout_seconds: int = 3600
cancellation_grace_seconds: int = 10
checkpoint: CheckpointPolicy = CheckpointPolicy()
allowed_egress: tuple[str, ...] = ()
secret_handles: tuple[str, ...] = ()
def __post_init__(self) -> None:
object.__setattr__(
self, "profile", require_identifier(self.profile, "execution.profile")
)
object.__setattr__(
self,
"process_model",
enum_value(ProcessModel, self.process_model, "process_model"),
)
object.__setattr__(
self,
"max_processes",
require_positive_int(self.max_processes, "max_processes"),
)
object.__setattr__(
self,
"threads_per_process",
require_positive_int(self.threads_per_process, "threads_per_process"),
)
object.__setattr__(
self,
"native_threads",
require_positive_int(self.native_threads, "native_threads"),
)
if not isinstance(self.nested_parallelism, bool):
raise ValueError("nested_parallelism must be a boolean")
object.__setattr__(
self, "network", enum_value(NetworkPolicy, self.network, "network")
)
object.__setattr__(
self,
"timeout_seconds",
require_positive_int(self.timeout_seconds, "timeout_seconds"),
)
object.__setattr__(
self,
"cancellation_grace_seconds",
require_nonnegative_int(
self.cancellation_grace_seconds, "cancellation_grace_seconds"
),
)
if not isinstance(self.checkpoint, CheckpointPolicy):
raise ValueError("checkpoint must be a CheckpointPolicy")
egress = tuple(
require_string(value, "allowed_egress", max_length=253)
for value in self.allowed_egress
)
if len(egress) != len(set(egress)):
raise ValueError("allowed_egress must be unique")
if self.network is NetworkPolicy.ALLOWLISTED_EGRESS and not egress:
raise ValueError("allowlisted egress policy requires at least one target")
if self.network is not NetworkPolicy.ALLOWLISTED_EGRESS and egress:
raise ValueError("allowed_egress is valid only for allowlisted egress")
object.__setattr__(self, "allowed_egress", egress)
handles = tuple(
require_identifier(value, "secret_handle") for value in self.secret_handles
)
if len(handles) != len(set(handles)):
raise ValueError("secret_handles must be unique")
if handles and self.network is NetworkPolicy.NONE:
raise ValueError("secret handles require an explicit network policy")
object.__setattr__(self, "secret_handles", handles)
if self.process_model is ProcessModel.SINGLE and (
self.max_processes != 1 or self.threads_per_process != 1
):
raise ValueError(
"single process model requires one process and one Python thread"
)
if (
not self.nested_parallelism
and self.threads_per_process > 1
and self.native_threads > 1
):
raise ValueError("nested thread pools require nested_parallelism=true")
@property
def maximum_cpu_threads(self) -> int:
return self.max_processes * self.threads_per_process * self.native_threads
def validate_resources(self, resources: ResourceRequirements) -> None:
if self.maximum_cpu_threads > resources.cpu_cores:
raise ValueError("execution profile can oversubscribe its CPU reservation")
if self.timeout_seconds > resources.max_duration_seconds:
raise ValueError("execution timeout exceeds the resource maximum duration")
def allocation_environment(
self, allocation: ResourceAllocation
) -> Mapping[str, str]:
"""Return only allocation-derived thread/device isolation variables."""
if not isinstance(allocation, ResourceAllocation):
raise ValueError("allocation must be a ResourceAllocation")
native = str(min(self.native_threads, allocation.cpu_cores))
values = {
"OMP_NUM_THREADS": native,
"OPENBLAS_NUM_THREADS": native,
"MKL_NUM_THREADS": native,
"NUMEXPR_NUM_THREADS": native,
"VECLIB_MAXIMUM_THREADS": native,
# Empty visibility explicitly prevents a CPU task from inheriting
# access to all host devices.
"CUDA_VISIBLE_DEVICES": ",".join(allocation.accelerator_ids),
"ROCR_VISIBLE_DEVICES": ",".join(allocation.accelerator_ids),
}
return MappingProxyType(values)
def to_dict(self) -> dict[str, object]:
return {
"profile": self.profile,
"process_model": self.process_model.value,
"max_processes": self.max_processes,
"threads_per_process": self.threads_per_process,
"native_threads": self.native_threads,
"nested_parallelism": self.nested_parallelism,
"network": self.network.value,
"timeout_seconds": self.timeout_seconds,
"cancellation_grace_seconds": self.cancellation_grace_seconds,
"checkpoint": self.checkpoint.to_dict(),
"allowed_egress": list(self.allowed_egress),
"secret_handles": list(self.secret_handles),
}
@classmethod
def from_dict(cls, value: object) -> "ExecutionProfile":
if not isinstance(value, Mapping):
raise ValueError("execution profile must be an object")
fields = {
"profile",
"process_model",
"max_processes",
"threads_per_process",
"native_threads",
"nested_parallelism",
"network",
"timeout_seconds",
"cancellation_grace_seconds",
"checkpoint",
"allowed_egress",
"secret_handles",
}
require_exact_keys(value, fields, "execution profile")
allowed_egress = value["allowed_egress"]
secret_handles = value["secret_handles"]
if not isinstance(allowed_egress, list) or not isinstance(secret_handles, list):
raise ValueError(
"execution allowed_egress and secret_handles must be arrays"
)
return cls(
profile=value["profile"], # type: ignore[arg-type]
process_model=value["process_model"], # type: ignore[arg-type]
max_processes=value["max_processes"], # type: ignore[arg-type]
threads_per_process=value["threads_per_process"], # type: ignore[arg-type]
native_threads=value["native_threads"], # type: ignore[arg-type]
nested_parallelism=value["nested_parallelism"], # type: ignore[arg-type]
network=value["network"], # type: ignore[arg-type]
timeout_seconds=value["timeout_seconds"], # type: ignore[arg-type]
cancellation_grace_seconds=value["cancellation_grace_seconds"], # type: ignore[arg-type]
checkpoint=CheckpointPolicy.from_dict(value["checkpoint"]),
allowed_egress=tuple(allowed_egress),
secret_handles=tuple(secret_handles),
)
@dataclass(frozen=True, slots=True)
class FailureReport:
"""A sanitized, location-free failure report for durable audit trails.
Message and evidence are bounded and reject local paths and transport
URLs; evidence is limited to 16 KiB.
"""
code: str
category: FailureCategory
retryable: bool
message: str
evidence: Mapping[str, Any]
def __post_init__(self) -> None:
object.__setattr__(self, "code", require_identifier(self.code, "failure.code"))
object.__setattr__(
self,
"category",
enum_value(FailureCategory, self.category, "failure.category"),
)
if not isinstance(self.retryable, bool):
raise ValueError("failure.retryable must be a boolean")
object.__setattr__(
self,
"message",
require_safe_message(self.message, "failure.message", max_length=512),
)
evidence = freeze_json_mapping(
self.evidence, "failure.evidence", forbid_locations=True
)
import json
if (
len(json.dumps(thaw_json(evidence), allow_nan=False).encode("utf-8"))
> 16_384
):
raise ValueError("failure evidence exceeds 16 KiB")
object.__setattr__(self, "evidence", evidence)
def to_dict(self) -> dict[str, object]:
return {
"code": self.code,
"category": self.category.value,
"retryable": self.retryable,
"message": self.message,
"evidence": thaw_json(self.evidence),
}
def to_json(self) -> str:
from ._validation import canonical_json
return canonical_json(self.to_dict())
@classmethod
def from_dict(cls, value: object) -> "FailureReport":
if not isinstance(value, Mapping):
raise ValueError("failure report must be an object")
fields = {"code", "category", "retryable", "message", "evidence"}
require_exact_keys(value, fields, "failure report")
return cls(
code=value["code"], # type: ignore[arg-type]
category=value["category"], # type: ignore[arg-type]
retryable=value["retryable"], # type: ignore[arg-type]
message=value["message"], # type: ignore[arg-type]
evidence=value["evidence"], # type: ignore[arg-type]
)
@classmethod
def from_json(cls, value: str) -> "FailureReport":
import json
try:
decoded = json.loads(value)
except (TypeError, json.JSONDecodeError, RecursionError) as error:
raise ValueError("failure report must be valid JSON") from error
return cls.from_dict(decoded)