223 lines
9.7 KiB
Python
223 lines
9.7 KiB
Python
"""Configuration parsing for the worker command."""
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from __future__ import annotations
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import json
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from dataclasses import dataclass
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from math import isfinite
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from pathlib import Path
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import os
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import socket
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from typing import Mapping
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from urllib.parse import urlsplit
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from scimesh.sdk.registry import AllowedPackage, workload_allowlist_from_json
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def _clean_url(value: object | None) -> str | None:
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"""Normalise an optional URL: drop a blank one, strip a trailing slash."""
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if value is None:
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return None
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text = str(value).strip()
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return text.rstrip("/") or None
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def _int_value(value: object | None, name: str) -> int | None:
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if value is None:
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return None
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if isinstance(value, bool) or not isinstance(value, (int, float, str)):
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raise ValueError(f"{name} must be a number")
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return int(value)
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def _float_value(value: object | None, name: str) -> float | None:
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if value is None:
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return None
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if isinstance(value, bool) or not isinstance(value, (int, float, str)):
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raise ValueError(f"{name} must be a number")
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return float(value)
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def _positive_number(value: object, name: str, *, allow_zero: bool = False) -> None:
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if (
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isinstance(value, bool)
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or not isinstance(value, (int, float))
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or not isfinite(value)
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or value < 0
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or (not allow_zero and value == 0)
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):
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qualifier = "non-negative" if allow_zero else "positive"
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raise ValueError(f"{name} must be {qualifier}")
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def _capabilities(value: object) -> tuple[str, ...]:
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"""Parse a comma-separated capability list into unique non-empty names."""
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if value is None:
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return ("similarity-search", "similarity_search")
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if not isinstance(value, str) or not value.strip():
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raise ValueError("capabilities must be a comma-separated list")
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names = tuple(
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dict.fromkeys(item.strip() for item in value.split(",") if item.strip())
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)
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if not names:
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raise ValueError("capabilities cannot be empty")
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return names
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def _workload_allowlist(value: object) -> tuple[AllowedPackage, ...]:
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return workload_allowlist_from_json(value)
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@dataclass(frozen=True)
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class WorkerConfig:
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coordinator_url: str
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worker_id: str | None
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work_dir: Path
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worker_name: str = "scimesh-worker"
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cpu_count: int = 1
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memory_mb: int | None = None
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poll_interval: float = 2.0
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request_timeout: float = 30.0
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heartbeat_interval: float = 15.0
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bearer_token: str | None = None
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# A long-lived per-user credential. When set (with userservice_url), the
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# worker exchanges it for short-lived JWTs instead of using bearer_token,
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# binding the worker to that user's account.
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worker_key: str | None = None
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userservice_url: str | None = None
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cleanup_after_seconds: float | None = None
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max_tasks: int | None = None
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exit_when_idle: bool = False
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# Distributed similarity-graph requires triangular block-pair planning and
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# is deliberately not advertised until CTX-10. A normal worker must never
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# make a multi-shard graph job appear scientifically complete.
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# The local CLI uses hyphens; the first coordinator contract used
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# underscores, so retain the search alias during migration.
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capabilities: tuple[str, ...] = (
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"similarity-search",
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"similarity_search",
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)
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# Optional allowlist of installed SDK workload packages to execute. When
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# empty, the worker runs the built-in similarity-search only. Entries are
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# ``{distribution, name, version, digest}`` JSON objects matching the
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# installed ``scimesh.workloads`` entry points.
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workload_allowlist: tuple[AllowedPackage, ...] = ()
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def __post_init__(self) -> None:
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parsed = urlsplit(self.coordinator_url)
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if parsed.scheme not in {"http", "https"} or not parsed.hostname:
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raise ValueError("coordinator_url must be an absolute HTTP(S) URL")
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if not isinstance(self.worker_name, str) or not self.worker_name.strip():
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raise ValueError("worker_name must be non-empty")
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if self.userservice_url is not None:
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us = urlsplit(self.userservice_url)
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if us.scheme not in {"http", "https"} or not us.hostname:
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raise ValueError("userservice_url must be an absolute HTTP(S) URL")
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if self.worker_key is not None and not self.userservice_url:
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raise ValueError(
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"worker_key requires userservice_url (SCIMESH_USERSERVICE_URL)"
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)
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if (
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isinstance(self.cpu_count, bool)
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or not isinstance(self.cpu_count, int)
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or self.cpu_count < 1
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):
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raise ValueError("cpu_count must be positive")
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if self.worker_id is not None and not isinstance(self.worker_id, str):
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raise ValueError("worker_id must be a string when set")
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if self.memory_mb is not None and (
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isinstance(self.memory_mb, bool)
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or not isinstance(self.memory_mb, int)
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or self.memory_mb < 1
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):
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raise ValueError("memory_mb must be positive when set")
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_positive_number(self.poll_interval, "poll_interval")
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_positive_number(self.request_timeout, "request_timeout")
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_positive_number(self.heartbeat_interval, "heartbeat_interval")
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if self.cleanup_after_seconds is not None:
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_positive_number(
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self.cleanup_after_seconds, "cleanup_after_seconds", allow_zero=True
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)
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if self.max_tasks is not None:
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if (
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isinstance(self.max_tasks, bool)
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or not isinstance(self.max_tasks, int)
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or self.max_tasks < 1
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):
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raise ValueError("max_tasks must be positive when set")
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if not isinstance(self.exit_when_idle, bool):
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raise ValueError("exit_when_idle must be a boolean")
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if not self.capabilities:
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raise ValueError("capabilities cannot be empty")
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if any(
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not isinstance(capability, str) or not capability.strip()
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for capability in self.capabilities
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):
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raise ValueError("capabilities must contain non-empty names")
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if len(self.capabilities) != len(set(self.capabilities)):
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raise ValueError("capabilities must be unique")
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if any(
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not isinstance(package, AllowedPackage)
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for package in self.workload_allowlist
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):
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raise ValueError("workload_allowlist must contain AllowedPackage values")
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# Runner subprocesses use a task directory as their cwd. Keep the
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# configured root absolute so input/output paths remain valid there
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# even when the CLI received a convenient relative --work-dir value.
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object.__setattr__(self, "work_dir", self.work_dir.expanduser().resolve())
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@classmethod
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def from_environment(
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cls, overrides: Mapping[str, object] | None = None
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) -> "WorkerConfig":
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"""Build config from environment, allowing typed CLI values to override it."""
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values = overrides or {}
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def value(
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name: str, environment: str, default: object | None = None
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) -> object | None:
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override = values.get(name)
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return override if override is not None else os.getenv(environment, default)
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url = value("coordinator_url", "SCIMESH_COORDINATOR_URL")
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if not isinstance(url, str) or not url:
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raise ValueError("SCIMESH_COORDINATOR_URL or --coordinator-url is required")
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cleanup = value("cleanup_after_seconds", "SCIMESH_CLEANUP_AFTER_SECONDS")
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cpu_count = value("cpu_count", "SCIMESH_CPU_COUNT", os.cpu_count() or 1)
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memory_mb = value("memory_mb", "SCIMESH_MEMORY_MB")
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max_tasks = value("max_tasks", "SCIMESH_MAX_TASKS")
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capabilities = value("capabilities", "SCIMESH_CAPABILITIES")
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allowlist = value("workload_allowlist", "SCIMESH_WORKLOAD_ALLOWLIST")
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worker_id = value("worker_id", "SCIMESH_WORKER_ID")
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work_dir = value("work_dir", "SCIMESH_WORK_DIR", "./scimesh-worker-data")
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worker_name = value("worker_name", "SCIMESH_WORKER_NAME", socket.gethostname())
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poll_interval = value("poll_interval", "SCIMESH_POLL_INTERVAL", "2")
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request_timeout = value("request_timeout", "SCIMESH_REQUEST_TIMEOUT", "30")
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heartbeat_interval = value(
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"heartbeat_interval", "SCIMESH_HEARTBEAT_INTERVAL", "15"
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)
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bearer_token = value("bearer_token", "SCIMESH_BEARER_TOKEN")
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worker_key = value("worker_key", "SCIMESH_WORKER_KEY")
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userservice_url = _clean_url(
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value("userservice_url", "SCIMESH_USERSERVICE_URL")
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)
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return cls(
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coordinator_url=url.rstrip("/"),
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worker_id=str(worker_id) if worker_id is not None else None,
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work_dir=Path(str(work_dir)),
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worker_name=str(worker_name),
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cpu_count=_int_value(cpu_count, "cpu_count") or 1,
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memory_mb=_int_value(memory_mb, "memory_mb"),
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poll_interval=_float_value(poll_interval, "poll_interval") or 2.0,
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request_timeout=_float_value(request_timeout, "request_timeout") or 30.0,
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heartbeat_interval=_float_value(heartbeat_interval, "heartbeat_interval") or 15.0,
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bearer_token=str(bearer_token) if bearer_token is not None else None,
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worker_key=str(worker_key) if worker_key is not None else None,
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userservice_url=userservice_url,
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cleanup_after_seconds=_float_value(cleanup, "cleanup_after_seconds"),
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max_tasks=_int_value(max_tasks, "max_tasks"),
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exit_when_idle=bool(values.get("exit_when_idle", False)),
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capabilities=_capabilities(capabilities),
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workload_allowlist=_workload_allowlist(allowlist),
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)
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