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- Add aggregate functions for scan status and counts in orchestrator. - Create ScanEventPublisher for emitting scan-related events. - Introduce ScanActivityService for managing scan activities. - Implement ScanCommandRecorder for logging command executions. - Develop canvas building and finalization logic for scan tasks. - Refactor scan task to utilize orchestrator functions for running stages and finalizing scans. - Enhance scan notification system to dispatch relevant events. - Integrate command recording into CLI tool execution for better tracking.
49 lines
1.1 KiB
Python
49 lines
1.1 KiB
Python
"""Tool-agnostic models for CLI tool execution results."""
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from enum import Enum
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from typing import Any, Protocol, runtime_checkable
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from pydantic import BaseModel, Field
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class OutputFormat(Enum):
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"""Output format expected from the CLI tool."""
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JSONL = "jsonl"
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PLAIN = "plain"
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@runtime_checkable
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class CommandRecorder(Protocol):
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"""Optional hook the executor calls to register a command and capture its log."""
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def start(self, tool: str, command: str) -> Any: ...
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def finish(
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self,
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handle: Any,
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*,
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return_code: int,
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output: str,
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error: str | None,
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duration_seconds: float,
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) -> None: ...
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class ToolResult(BaseModel):
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"""Result of a CLI tool execution."""
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success: bool
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stdout: str = ""
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stderr: str = ""
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exit_code: int = -1
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output_lines: list[str] = Field(default_factory=list)
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json_records: list[dict] = Field(default_factory=list)
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duration_seconds: float = 0.0
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command: str = ""
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error: str | None = None
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@property
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def has_output(self) -> bool:
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return bool(self.json_records or self.output_lines)
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