| """Managed Claude Code diagnostic classification.""" |
|
|
| from dataclasses import dataclass |
|
|
| _BENIGN_STDERR_MARKERS = ("claude.ai connectors are disabled",) |
|
|
|
|
| @dataclass(frozen=True, slots=True) |
| class ManagedClaudeStderrDiagnostics: |
| """Classified stderr lines from one managed Claude Code invocation.""" |
|
|
| benign_lines: tuple[str, ...] |
| fatal_lines: tuple[str, ...] |
|
|
| @property |
| def fatal_text(self) -> str | None: |
| text = "\n".join(self.fatal_lines).strip() |
| return text or None |
|
|
| @property |
| def has_benign(self) -> bool: |
| return bool(self.benign_lines) |
|
|
|
|
| def classify_managed_claude_stderr( |
| stderr_text: str, |
| ) -> ManagedClaudeStderrDiagnostics: |
| """Classify known benign Claude Code diagnostics separately from failures.""" |
| benign_lines: list[str] = [] |
| fatal_lines: list[str] = [] |
| for line in _stderr_lines(stderr_text): |
| lowered = line.lower() |
| if any(marker in lowered for marker in _BENIGN_STDERR_MARKERS): |
| benign_lines.append(line) |
| else: |
| fatal_lines.append(line) |
| return ManagedClaudeStderrDiagnostics( |
| benign_lines=tuple(benign_lines), |
| fatal_lines=tuple(fatal_lines), |
| ) |
|
|
|
|
| def _stderr_lines(stderr_text: str) -> tuple[str, ...]: |
| stripped = stderr_text.strip() |
| if not stripped: |
| return () |
| return tuple(line.strip() for line in stripped.splitlines() if line.strip()) |
|
|
