A R R R Associates
71 lines
4.0 KiB
Python
71 lines
4.0 KiB
Python
"""Phase 12 server AI semantic accounting layer.
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Revision ID: 20260822_accounting_ai_p12
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Revises: 20260822_bank_client_archive_p11b
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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 = "20260822_accounting_ai_p12"
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down_revision = "20260822_bank_client_archive_p11b"
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branch_labels = None
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depends_on = None
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def upgrade():
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op.create_table(
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"accounting_ai_semantic_decisions",
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sa.Column("id", sa.Integer(), primary_key=True),
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sa.Column("tenant_id", sa.Integer(), sa.ForeignKey("tenants.id", ondelete="CASCADE"), nullable=False),
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sa.Column("client_id", sa.Integer(), sa.ForeignKey("clients.id", ondelete="CASCADE"), nullable=False),
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sa.Column("source_type", sa.String(30), nullable=False),
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sa.Column("source_record_id", sa.Integer(), nullable=False),
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sa.Column("source_fingerprint", sa.String(80), nullable=False, server_default=""),
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sa.Column("provider_name", sa.String(60), nullable=False, server_default=""),
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sa.Column("model_name", sa.String(120), nullable=False, server_default=""),
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sa.Column("prompt_version", sa.String(40), nullable=False, server_default="phase12-v1"),
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sa.Column("deterministic_nature_id", sa.Integer(), sa.ForeignKey("accounting_natures.id", ondelete="SET NULL"), nullable=True),
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sa.Column("deterministic_confidence", sa.Integer(), nullable=False, server_default="0"),
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sa.Column("ai_nature_id", sa.Integer(), sa.ForeignKey("accounting_natures.id", ondelete="SET NULL"), nullable=True),
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sa.Column("ai_nature_code", sa.String(80), nullable=False, server_default=""),
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sa.Column("ai_confidence", sa.Integer(), nullable=False, server_default="0"),
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sa.Column("combined_confidence", sa.Integer(), nullable=False, server_default="0"),
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sa.Column("capital_revenue", sa.String(20), nullable=False, server_default=""),
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sa.Column("business_personal", sa.String(20), nullable=False, server_default="business"),
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sa.Column("concise_reason", sa.Text(), nullable=False, server_default=""),
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sa.Column("alternatives_json", sa.Text(), nullable=True),
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sa.Column("review_flags_json", sa.Text(), nullable=True),
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sa.Column("context_json", sa.Text(), nullable=True),
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sa.Column("raw_response_json", sa.Text(), nullable=True),
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sa.Column("applied_to_source", sa.Boolean(), nullable=False, server_default=sa.false()),
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sa.Column("skipped_reason", sa.Text(), nullable=True),
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sa.Column("status", sa.String(30), nullable=False, server_default="completed"),
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sa.Column("error_message", sa.Text(), nullable=True),
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sa.Column("final_nature_id", sa.Integer(), sa.ForeignKey("accounting_natures.id", ondelete="SET NULL"), nullable=True),
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sa.Column("final_ledger_name", sa.String(255), nullable=False, server_default=""),
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sa.Column("suggestion_accepted", sa.Boolean(), nullable=True),
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sa.Column("reviewed_by_user_id", sa.Integer(), sa.ForeignKey("users.id", ondelete="SET NULL"), nullable=True),
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sa.Column("reviewed_at_utc", sa.DateTime(timezone=True), nullable=True),
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sa.Column("input_tokens", sa.Integer(), nullable=False, server_default="0"),
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sa.Column("output_tokens", sa.Integer(), nullable=False, server_default="0"),
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sa.Column("latency_ms", sa.Integer(), nullable=False, server_default="0"),
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sa.Column("created_by_user_id", sa.Integer(), sa.ForeignKey("users.id", ondelete="SET NULL"), nullable=True),
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sa.Column("created_at_utc", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
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)
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for name in (
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"tenant_id", "client_id", "source_type", "source_record_id", "source_fingerprint",
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"deterministic_nature_id", "ai_nature_id", "applied_to_source", "status",
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"final_nature_id", "suggestion_accepted", "created_at_utc",
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):
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op.create_index(
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f"ix_accounting_ai_semantic_decisions_{name}",
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"accounting_ai_semantic_decisions",
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[name],
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)
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def downgrade():
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op.drop_table("accounting_ai_semantic_decisions")
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