373 lines
14 KiB
Python
373 lines
14 KiB
Python
"""Pipeline execution utilities for the Textual UI.
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The TUI is a frontend to the CLI, so it must use the same pipeline executor
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implementation as the CLI (`CLI.PipelineExecutor`).
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"""
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from __future__ import annotations
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import contextlib
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import io
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import shlex
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import sys
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import traceback
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from pathlib import Path
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from dataclasses import dataclass, field
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from typing import Any, Callable, Dict, List, Optional, Sequence
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BASE_DIR = Path(__file__).resolve().parent
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ROOT_DIR = BASE_DIR.parent
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for path in (ROOT_DIR, BASE_DIR):
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str_path = str(path)
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if str_path not in sys.path:
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sys.path.insert(0, str_path)
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from SYS import pipeline as ctx
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from CLI import ConfigLoader
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from SYS.pipeline import PipelineExecutor
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from SYS.worker import WorkerManagerRegistry
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from SYS.logger import set_debug, debug
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from SYS.rich_display import capture_rich_output
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import traceback
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from SYS.result_table import Table
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@dataclass(slots=True)
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class PipelineStageResult:
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"""Summary for a single pipeline stage."""
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name: str
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args: Sequence[str]
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emitted: List[Any] = field(default_factory=list)
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result_table: Optional[Any] = None # ResultTable object if available
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status: str = "pending"
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error: Optional[str] = None
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@dataclass(slots=True)
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class PipelineRunResult:
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"""Aggregate result for a pipeline run."""
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pipeline: str
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success: bool
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stages: List[PipelineStageResult] = field(default_factory=list)
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emitted: List[Any] = field(default_factory=list)
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result_table: Optional[Any] = None # Final ResultTable object if available
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stdout: str = ""
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stderr: str = ""
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error: Optional[str] = None
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def to_summary(self) -> Dict[str, Any]:
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"""Provide a JSON-friendly representation for logging or UI."""
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return {
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"pipeline":
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self.pipeline,
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"success":
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self.success,
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"error":
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self.error,
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"stages": [
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{
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"name": stage.name,
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"status": stage.status,
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"error": stage.error,
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"emitted": len(stage.emitted),
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} for stage in self.stages
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],
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}
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class PipelineRunner:
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"""TUI wrapper that delegates to the canonical CLI pipeline executor."""
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def __init__(self, config_loader: Optional[Any] = None, executor: Optional[Any] = None) -> None:
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# Allow dependency injection or lazily construct CLI dependencies so tests
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# don't fail due to import-order issues in pytest environments.
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self._config_loader = config_loader if config_loader is not None else (ConfigLoader(root=ROOT_DIR) if ConfigLoader else None)
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if executor is not None:
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self._executor = executor
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else:
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self._executor = PipelineExecutor(config_loader=self._config_loader)
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self._worker_manager = None
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@property
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def worker_manager(self):
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return self._worker_manager
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def run_pipeline(
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self,
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pipeline_text: str,
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*,
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seeds: Optional[Any] = None,
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seed_table: Optional[Any] = None,
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isolate: bool = False,
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on_log: Optional[Callable[[str],
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None]] = None,
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) -> PipelineRunResult:
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snapshot: Optional[Dict[str, Any]] = None
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if isolate:
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snapshot = self._snapshot_ctx_state()
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normalized = str(pipeline_text or "").strip()
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result = PipelineRunResult(pipeline=normalized, success=False)
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if not normalized:
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result.error = "Pipeline is empty"
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return result
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try:
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from SYS.cli_syntax import validate_pipeline_text
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syntax_error = validate_pipeline_text(normalized)
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if syntax_error:
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result.error = syntax_error.message
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result.stderr = syntax_error.message
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return result
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except Exception:
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debug(traceback.format_exc())
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try:
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tokens = shlex.split(normalized)
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except Exception as exc:
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result.error = f"Syntax error: {exc}"
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result.stderr = result.error
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return result
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if not tokens:
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result.error = "Pipeline contains no tokens"
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return result
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config = self._config_loader.load()
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try:
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set_debug(bool(config.get("debug", False)))
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except Exception:
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debug(traceback.format_exc())
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try:
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self._worker_manager = WorkerManagerRegistry.ensure(config)
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except Exception:
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debug(traceback.format_exc())
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self._worker_manager = None
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ctx.reset()
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ctx.set_current_command_text(normalized)
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if seeds is not None:
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try:
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if not isinstance(seeds, list):
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seeds = [seeds]
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ctx.set_last_result_items_only(list(seeds))
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except Exception:
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debug(traceback.format_exc())
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if seed_table is not None:
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try:
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ctx.set_current_stage_table(seed_table)
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except Exception:
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debug(traceback.format_exc())
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stdout_buffer = io.StringIO()
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stderr_buffer = io.StringIO()
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try:
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with capture_rich_output(stdout=stdout_buffer, stderr=stderr_buffer):
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with (
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contextlib.redirect_stdout(stdout_buffer),
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contextlib.redirect_stderr(stderr_buffer),
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):
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if on_log:
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on_log("Executing pipeline via CLI executor...")
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self._executor.execute_tokens(list(tokens))
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except Exception as exc:
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result.error = f"{type(exc).__name__}: {exc}"
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finally:
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try:
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ctx.clear_current_command_text()
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except Exception:
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debug(traceback.format_exc())
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result.stdout = stdout_buffer.getvalue()
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result.stderr = stderr_buffer.getvalue()
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# Pull the canonical state out of pipeline context.
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table = None
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try:
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table = (
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ctx.get_display_table() or ctx.get_current_stage_table()
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or ctx.get_last_result_table()
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)
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except Exception:
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table = None
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items: List[Any] = []
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try:
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items = list(ctx.get_last_result_items() or [])
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except Exception:
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items = []
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if table is None and items:
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try:
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synth = Table("Results")
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for item in items:
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synth.add_result(item)
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table = synth
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except Exception:
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table = None
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result.emitted = items
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result.result_table = table
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combined = (result.stdout + "\n" + result.stderr).strip().lower()
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failure_markers = (
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"unknown command:",
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"pipeline order error:",
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"invalid selection:",
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"invalid pipeline syntax",
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"failed to execute pipeline",
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"[error]",
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)
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if result.error:
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result.success = False
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elif any(m in combined for m in failure_markers):
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result.success = False
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if not result.error:
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result.error = "Pipeline failed"
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else:
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result.success = True
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if isolate and snapshot is not None:
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try:
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self._restore_ctx_state(snapshot)
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except Exception:
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# Best-effort; isolation should never break normal operation.
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pass
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return result
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@staticmethod
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def _snapshot_ctx_state() -> Dict[str, Any]:
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"""Best-effort snapshot of pipeline context using PipelineState.
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This reads from the active PipelineState (ContextVar or global fallback)
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to produce a consistent snapshot that can be restored later.
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"""
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def _copy(val: Any) -> Any:
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if isinstance(val, list):
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return val.copy()
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if isinstance(val, dict):
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return val.copy()
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return val
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state = ctx.get_pipeline_state()
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snap: Dict[str, Any] = {}
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# Simple scalar/list/dict fields
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snap["live_progress"] = _copy(state.live_progress)
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snap["current_context"] = state.current_context
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snap["last_search_query"] = state.last_search_query
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snap["pipeline_refreshed"] = state.pipeline_refreshed
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snap["last_items"] = _copy(state.last_items)
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snap["last_result_table"] = state.last_result_table
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snap["last_result_items"] = _copy(state.last_result_items)
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snap["last_result_subject"] = state.last_result_subject
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# Deep-copy history/forward stacks (copy nested item lists)
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def _copy_history(hist: Optional[List[tuple]]) -> List[tuple]:
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out: List[tuple] = []
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try:
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for (t, items, subj) in list(hist or []):
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items_copy = items.copy() if isinstance(items, list) else list(items) if items else []
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out.append((t, items_copy, subj))
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except Exception:
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debug(traceback.format_exc())
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return out
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snap["result_table_history"] = _copy_history(state.result_table_history)
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snap["result_table_forward"] = _copy_history(state.result_table_forward)
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snap["current_stage_table"] = state.current_stage_table
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snap["display_items"] = _copy(state.display_items)
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snap["display_table"] = state.display_table
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snap["display_subject"] = state.display_subject
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snap["last_selection"] = _copy(state.last_selection)
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snap["pipeline_command_text"] = state.pipeline_command_text
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snap["current_cmdlet_name"] = state.current_cmdlet_name
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snap["current_stage_text"] = state.current_stage_text
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snap["pipeline_values"] = _copy(state.pipeline_values) if isinstance(state.pipeline_values, dict) else state.pipeline_values
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snap["pending_pipeline_tail"] = [list(stage) for stage in (state.pending_pipeline_tail or [])]
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snap["pending_pipeline_source"] = state.pending_pipeline_source
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snap["ui_library_refresh_callback"] = state.ui_library_refresh_callback
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snap["pipeline_stop"] = state.pipeline_stop
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return snap
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@staticmethod
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def _restore_ctx_state(snapshot: Dict[str, Any]) -> None:
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if not snapshot:
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return
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state = ctx.get_pipeline_state()
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# Helper for restoring history-like stacks
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def _restore_history(key: str, val: Any) -> None:
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try:
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if isinstance(val, list):
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out: List[tuple] = []
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for (t, items, subj) in val:
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items_copy = items.copy() if isinstance(items, list) else list(items) if items else []
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out.append((t, items_copy, subj))
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setattr(state, key, out)
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except Exception:
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debug(traceback.format_exc())
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try:
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if "live_progress" in snapshot:
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state.live_progress = snapshot["live_progress"]
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if "current_context" in snapshot:
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state.current_context = snapshot["current_context"]
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if "last_search_query" in snapshot:
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state.last_search_query = snapshot["last_search_query"]
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if "pipeline_refreshed" in snapshot:
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state.pipeline_refreshed = snapshot["pipeline_refreshed"]
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if "last_items" in snapshot:
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state.last_items = snapshot["last_items"] or []
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if "last_result_table" in snapshot:
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state.last_result_table = snapshot["last_result_table"]
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if "last_result_items" in snapshot:
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state.last_result_items = snapshot["last_result_items"] or []
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if "last_result_subject" in snapshot:
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state.last_result_subject = snapshot["last_result_subject"]
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if "result_table_history" in snapshot:
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_restore_history("result_table_history", snapshot["result_table_history"])
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if "result_table_forward" in snapshot:
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_restore_history("result_table_forward", snapshot["result_table_forward"])
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if "current_stage_table" in snapshot:
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state.current_stage_table = snapshot["current_stage_table"]
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if "display_items" in snapshot:
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state.display_items = snapshot["display_items"] or []
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if "display_table" in snapshot:
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state.display_table = snapshot["display_table"]
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if "display_subject" in snapshot:
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state.display_subject = snapshot["display_subject"]
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if "last_selection" in snapshot:
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state.last_selection = snapshot["last_selection"] or []
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if "pipeline_command_text" in snapshot:
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state.pipeline_command_text = snapshot["pipeline_command_text"] or ""
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if "current_cmdlet_name" in snapshot:
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state.current_cmdlet_name = snapshot["current_cmdlet_name"] or ""
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if "current_stage_text" in snapshot:
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state.current_stage_text = snapshot["current_stage_text"] or ""
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if "pipeline_values" in snapshot:
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state.pipeline_values = snapshot["pipeline_values"] or {}
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if "pending_pipeline_tail" in snapshot:
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state.pending_pipeline_tail = snapshot["pending_pipeline_tail"] or []
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if "pending_pipeline_source" in snapshot:
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state.pending_pipeline_source = snapshot["pending_pipeline_source"]
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if "ui_library_refresh_callback" in snapshot:
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state.ui_library_refresh_callback = snapshot["ui_library_refresh_callback"]
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if "pipeline_stop" in snapshot:
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state.pipeline_stop = snapshot["pipeline_stop"]
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except Exception:
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# Best-effort; don't break the pipeline runner
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pass
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