Add API Q1 CAPA: root cause, corrective action gate, effectiveness verification
Implements tester feedback against API Q1 §5.9.1.2 / §6.4.2: - Root Cause field + 6M Root Cause Category lookup (Man/Machine/Method/ Material/Measurement/Environment), separate from Deviation Detail/Category - "Corrective Action Required?" Yes/No gate on every NCR with a required justification - Corrective action plan with owner + due date; owner is notified by email - Effectiveness verification (result, notes, server-stamped verifier/date) required before an NCR can close when corrective action is required — costing returns 409 listing the missing pieces - Recurring-issue flag with bidirectional NCR-to-NCR links; prior NCRs show a warning when later NCRs reference them - Dashboard metrics: % root cause completed, % CAPA verified effective, avg CAPA close time, overdue CAPA count, NCRs by root cause category - CAPA section in the NCR detail UI, printable PDF, CSV export, and the vw_ncr_full Power BI view; admin list manager for root cause categories - Migrations 0003 (schema + seeded 6M lookup) and 0004 (view refresh); demo seed data exercises every metric Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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@@ -21,3 +21,4 @@ class LookupPatchIn(BaseModel):
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class LookupsOut(BaseModel):
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departments: list[NamedLookupOut]
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deviation_categories: list[NamedLookupOut]
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root_cause_categories: list[NamedLookupOut]
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@@ -1,3 +1,4 @@
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from datetime import date
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from decimal import Decimal
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from typing import Annotated, Literal
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@@ -43,6 +44,27 @@ class InspectionIn(BaseModel):
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qc_closed: bool = False
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class CapaIn(BaseModel):
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"""Corrective & Preventive Action section (API Q1 §5.9.1.2 / §6.4.2).
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Only fields present in the request body are updated (exclude_unset), so
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partial saves from different roles never clobber each other's entries.
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"""
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root_cause: str | None = Field(default=None, max_length=20000)
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root_cause_category_id: int | None = None
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corrective_action_required: bool | None = None
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corrective_action_justification: str | None = Field(default=None, max_length=2000)
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corrective_action_plan: str | None = Field(default=None, max_length=20000)
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corrective_action_owner_id: int | None = None
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corrective_action_due_date: date | None = None
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effectiveness_result: Literal["effective", "not_effective"] | None = None
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effectiveness_notes: str | None = Field(default=None, max_length=20000)
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is_recurring: bool | None = None
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# Replaces the full set of linked prior NCRs when present.
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related_ncr_ids: list[int] | None = None
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class CostingIn(BaseModel):
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labor_cost: Money
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material_cost: Money
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@@ -91,6 +113,16 @@ class JobInfoOut(AppModel):
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source: str
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class NcrLinkOut(BaseModel):
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"""Light projection of a linked NCR (recurring-issue tracking)."""
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id: int
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ncr_number: str
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job_number: str
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stage: str
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stage_label: str
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class NcrListItem(BaseModel):
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id: int
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ncr_number: str
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@@ -146,6 +178,23 @@ class NcrDetailOut(BaseModel):
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qc_closed_at: UTCDateTime | None
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qc_closed_by: UserRef | None
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root_cause: str | None
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root_cause_category: str | None
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root_cause_category_id: int | None
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corrective_action_required: bool | None
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corrective_action_justification: str | None
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corrective_action_plan: str | None
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corrective_action_owner: UserRef | None
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corrective_action_due_date: date | None
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corrective_action_opened_at: UTCDateTime | None
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effectiveness_result: str | None
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effectiveness_notes: str | None
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effectiveness_verified_at: UTCDateTime | None
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effectiveness_verified_by: UserRef | None
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is_recurring: bool
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related_ncrs: list[NcrLinkOut]
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referenced_by: list[NcrLinkOut]
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labor_cost: Decimal | None
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material_cost: Decimal | None
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service_cost: Decimal | None
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@@ -44,6 +44,12 @@ class ReportsSummaryOut(BaseModel):
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open_ncrs: int
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closed_ncrs: int
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total_cost: Decimal
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# ── CAPA metrics (API Q1 §6.4.2) ─────────────────────────────────────────
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root_cause_pct: float | None # % of NCRs with a completed root cause
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effectiveness_verified_pct: float | None # % of CA-required NCRs verified effective
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avg_capa_close_days: float | None # CA opened → verified effective
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overdue_capa_count: int # CA required, past due, not yet verified effective
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by_root_cause_category: list[CountByName]
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by_department: list[CountByName]
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by_category: list[CountByName]
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by_month: list[CountByMonth]
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