c1cd1bc9df
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>
113 lines
3.8 KiB
Python
113 lines
3.8 KiB
Python
"""CAPA fields for API Q1 §5.9.1.2 / §6.4.2
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Revision ID: 0003
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Revises: 0002
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Create Date: 2026-08-04
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Adds root cause capture, the corrective-action gate (required? +
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justification), the corrective action plan (owner + due date),
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effectiveness verification, the recurring-issue flag with NCR-to-NCR
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links, and the 6M root-cause category lookup (seeded here so upgraded
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deployments have the standard values without re-running app.seed).
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"""
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from alembic import op
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import sqlalchemy as sa
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revision = "0003"
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down_revision = "0002"
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branch_labels = None
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depends_on = None
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MYSQL = {"mysql_charset": "utf8mb4", "mysql_collate": "utf8mb4_unicode_ci"}
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SIX_M_CATEGORIES = ["Man", "Machine", "Method", "Material", "Measurement", "Environment"]
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def upgrade() -> None:
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op.create_table(
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"root_cause_categories",
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sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
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sa.Column("name", sa.String(100), nullable=False, unique=True),
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sa.Column("is_active", sa.Boolean(), nullable=False, server_default=sa.text("1")),
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**MYSQL,
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)
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categories = sa.table(
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"root_cause_categories", sa.column("name", sa.String), sa.column("is_active", sa.Boolean)
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)
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op.bulk_insert(categories, [{"name": n, "is_active": True} for n in SIX_M_CATEGORIES])
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op.create_table(
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"ncr_links",
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sa.Column(
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"ncr_id", sa.Integer(), sa.ForeignKey("ncrs.id", ondelete="CASCADE"), primary_key=True
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),
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sa.Column(
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"related_ncr_id",
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sa.Integer(),
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sa.ForeignKey("ncrs.id", ondelete="CASCADE"),
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primary_key=True,
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),
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**MYSQL,
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)
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op.add_column("ncrs", sa.Column("root_cause", sa.Text(), nullable=True))
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op.add_column(
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"ncrs",
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sa.Column(
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"root_cause_category_id",
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sa.Integer(),
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sa.ForeignKey("root_cause_categories.id"),
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nullable=True,
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),
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)
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op.add_column("ncrs", sa.Column("corrective_action_required", sa.Boolean(), nullable=True))
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op.add_column(
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"ncrs", sa.Column("corrective_action_justification", sa.Text(), nullable=True)
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)
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op.add_column("ncrs", sa.Column("corrective_action_plan", sa.Text(), nullable=True))
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op.add_column(
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"ncrs",
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sa.Column(
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"corrective_action_owner_id", sa.Integer(), sa.ForeignKey("users.id"), nullable=True
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),
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)
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op.add_column("ncrs", sa.Column("corrective_action_due_date", sa.Date(), nullable=True))
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op.add_column("ncrs", sa.Column("corrective_action_opened_at", sa.DateTime(), nullable=True))
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op.add_column("ncrs", sa.Column("effectiveness_result", sa.String(20), nullable=True))
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op.add_column("ncrs", sa.Column("effectiveness_notes", sa.Text(), nullable=True))
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op.add_column("ncrs", sa.Column("effectiveness_verified_at", sa.DateTime(), nullable=True))
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op.add_column(
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"ncrs",
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sa.Column(
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"effectiveness_verified_by_id",
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sa.Integer(),
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sa.ForeignKey("users.id"),
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nullable=True,
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),
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)
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op.add_column(
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"ncrs",
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sa.Column("is_recurring", sa.Boolean(), nullable=False, server_default=sa.text("0")),
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)
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def downgrade() -> None:
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for column in (
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"is_recurring",
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"effectiveness_verified_by_id",
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"effectiveness_verified_at",
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"effectiveness_notes",
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"effectiveness_result",
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"corrective_action_opened_at",
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"corrective_action_due_date",
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"corrective_action_owner_id",
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"corrective_action_plan",
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"corrective_action_justification",
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"corrective_action_required",
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"root_cause_category_id",
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"root_cause",
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):
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op.drop_column("ncrs", column)
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op.drop_table("ncr_links")
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op.drop_table("root_cause_categories")
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