feat(tier4): Integrate patch generation into GUI workflow
- Add patch_callback parameter throughout the tool execution chain - Add _render_patch_modal() to gui_2.py with colored diff display - Add patch modal state variables to App.__init__ - Add request_patch_from_tier4() to trigger patch generation - Add run_tier4_patch_callback() to ai_client.py - Update shell_runner to accept and execute patch_callback - Diff colors: green for additions, red for deletions, cyan for headers - 36 tests passing
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@@ -44,13 +44,14 @@ def _build_subprocess_env() -> dict[str, str]:
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env[key] = os.path.expandvars(str(val))
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return env
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def run_powershell(script: str, base_dir: str, qa_callback: Optional[Callable[[str], str]] = None) -> str:
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def run_powershell(script: str, base_dir: str, qa_callback: Optional[Callable[[str], str]] = None, patch_callback: Optional[Callable[[str, str], Optional[str]]] = None) -> str:
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"""
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Run a PowerShell script with working directory set to base_dir.
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Returns a string combining stdout, stderr, and exit code.
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Environment is configured via mcp_env.toml (project root).
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If qa_callback is provided and the command fails or has stderr,
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the callback is called with the stderr content and its result is appended.
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If patch_callback is provided, it receives (error, file_context) and returns patch text.
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"""
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safe_dir: str = str(base_dir).replace("'", "''")
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full_script: str = f"Set-Location -LiteralPath '{safe_dir}'\n{script}"
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@@ -72,6 +73,10 @@ def run_powershell(script: str, base_dir: str, qa_callback: Optional[Callable[[s
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qa_analysis: Optional[str] = qa_callback(stderr.strip())
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if qa_analysis:
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parts.append(f"\nQA ANALYSIS:\n{qa_analysis}")
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if patch_callback and (process.returncode != 0 or stderr.strip()):
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patch_text = patch_callback(stderr.strip(), base_dir)
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if patch_text:
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parts.append(f"\nAUTO_PATCH:\n{patch_text}")
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return "\n".join(parts)
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except subprocess.TimeoutExpired:
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if 'process' in locals() and process:
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