busya
8219540ade
- DashboardHealthItem schema: add run_id, policy_id, execution_path, issues_count, timings, token_usage, screenshot_paths, chunk_count, dashboard_name fields for v2 LLM validation reporting. - HealthService: populate v2 fields from validation run records. - ValidationService: update to support v2 validation run fields. - validation_tasks route: minor fix for v2 field handling. - tailwind.config.js: refactor design tokens — add success/warning/info palettes, surface/border/text hierarchy, semantic action colors. - Agent configs: update svelte-coder and semantics-svelte for .svelte.ts runes and Screen Model patterns.
52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
# #region HealthSchemas [C:3] [TYPE Module] [SEMANTICS pydantic, health, schema, dashboard, dashboard-health-item]
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# @BRIEF Pydantic schemas for dashboard health summary — includes v2 LLM validation fields.
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# @LAYER Domain
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# @RELATION DEPENDS_ON -> [EXT:Library:pydantic]
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from datetime import datetime
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from typing import Any
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from pydantic import BaseModel, Field
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# #region DashboardHealthItem [TYPE Class]
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# @BRIEF Represents the latest health status of a single dashboard, with v2 LLM validation data.
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class DashboardHealthItem(BaseModel):
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record_id: str | None = None
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dashboard_id: str
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dashboard_slug: str | None = None
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dashboard_title: str | None = None
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environment_id: str
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status: str = Field(..., pattern="^(PASS|WARN|FAIL|UNKNOWN)$")
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last_check: datetime
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task_id: str | None = None
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run_id: str | None = None
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policy_id: str | None = None
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summary: str | None = None
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# v2 LLM validation fields
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execution_path: str | None = None # "screenshot" or "text_only"
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issues_count: int = 0
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timings: dict[str, Any] | None = None
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token_usage: dict[str, Any] | None = None
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screenshot_paths: list[str] | None = None
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chunk_count: int | None = None
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dashboard_name: str | None = None # human-readable alias for dashboard_title
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# #endregion DashboardHealthItem
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# #region HealthSummaryResponse [TYPE Class]
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# @BRIEF Aggregated health summary for all dashboards.
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class HealthSummaryResponse(BaseModel):
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items: list[DashboardHealthItem]
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pass_count: int
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warn_count: int
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fail_count: int
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unknown_count: int
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# #endregion HealthSummaryResponse
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# #endregion HealthSchemas
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