feat(tools): Enhance guest tools installation and management
- Added new API endpoints for tool catalog and installation management. - Updated usage documentation to include new tool installation features. - Implemented asynchronous tool installation with job tracking. - Introduced integration tests for tool installation in disposable VMs. - Enhanced dashboard UI to reflect tool installation status and usage instructions. - Improved error handling and logging for tool installation processes. - Added support for multiple Python versions and Conda environments. - Refactored tool management logic to ensure better state handling and job persistence.
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@@ -2,8 +2,8 @@
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from __future__ import annotations
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import os
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import math
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import os
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from dataclasses import dataclass, field
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from ipaddress import IPv4Address, IPv4Network
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from pathlib import Path
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@@ -62,7 +62,7 @@ class Settings:
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raise ConfigurationError("tool_workers must be an integer between 1 and 8")
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for name in ("tool_ready_timeout_s", "tool_install_timeout_s"):
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value = getattr(self, name)
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if type(value) not in (int, float) or not math.isfinite(value) or not 0 < value <= 3600:
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if type(value) not in (int, float) or not 0 < value <= 3600 or not math.isfinite(value):
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raise ConfigurationError(f"{name} must be finite, greater than zero, and at most 3600 seconds")
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# Resolve defaults at construction time, while preserving individual URL overrides.
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