pyr0ball
da28757a20
- Move app/services/diagnose.py verbatim to app/services/diagnose/legacy.py
- Create app/services/diagnose/__init__.py with full implementation so that
patch('app.services.diagnose._HAS_DATEPARSER') targets the correct namespace
and all 303 existing tests continue to pass without modification
- Add app/services/diagnose/models.py with 5 pipeline dataclasses:
EventCluster, TimelineResult, ClassifiedTimeline, Hypothesis, RankedHypothesis
- Add app/services/diagnose/pipeline.py with run_pipeline() stub (Task 6)
- Add MULTI_AGENT_ENABLED feature flag (off by default via env var)
- Zero behavior change; ruff clean
Closes: #29
61 lines
1.4 KiB
Python
61 lines
1.4 KiB
Python
"""Pipeline data types for the multi-agent diagnose pipeline."""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Literal
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SeverityLabel = Literal["CRITICAL", "ERROR", "WARN", "INFO", "DEBUG", "UNKNOWN"]
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@dataclass
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class EventCluster:
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cluster_id: str
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entries: list[str] # entry_id refs
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start_iso: str | None
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end_iso: str | None
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duration_seconds: float
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source_ids: list[str]
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pattern_tags: list[str]
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severity: SeverityLabel # highest severity from raw text
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burst: bool
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gap_before_seconds: float
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representative_text: str
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@dataclass
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class TimelineResult:
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clusters: list[EventCluster]
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total_entries: int
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window_start: str | None
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window_end: str | None
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gap_count: int
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burst_count: int
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dominant_sources: list[str]
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@dataclass
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class ClassifiedTimeline:
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timeline: TimelineResult
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cluster_severities: dict[str, SeverityLabel]
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classifier_used: Literal["ml", "pattern_tags", "regex"]
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model_id: str | None
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@dataclass
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class Hypothesis:
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hypothesis_id: str
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title: str
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description: str
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confidence: float
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supporting_cluster_ids: list[str]
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runbook_refs: list[str]
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severity: SeverityLabel
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@dataclass
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class RankedHypothesis:
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hypothesis: Hypothesis
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novelty_score: float
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similarity_to_known: float
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suppress: bool
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suppression_reason: str | None
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