93 lines
4.3 KiB
Python
93 lines
4.3 KiB
Python
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"""
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Copyright 2024-2026 ReplyPier
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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"""add investigation_runs (AI triage/investigation queue)
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Revision ID: add_investigation_runs_001
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Revises: add_ticketing_core_001
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Create Date: 2026-07-16
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Phase 2 of AI-first ticketing: the run table doubles as the worker queue
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(ticket_investigator polls status='pending', mirroring faq_generation_jobs).
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Budgets and token actuals live on the row for cost tracking.
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"""
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from alembic import op
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import sqlalchemy as sa
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from sqlalchemy.dialects import postgresql
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# revision identifiers, used by Alembic.
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revision = 'add_investigation_runs_001'
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down_revision = 'add_ticketing_core_001'
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branch_labels = None
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depends_on = None
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ACTIVE_RUN_STATUSES = ('pending', 'running')
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def upgrade() -> None:
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op.create_table(
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'investigation_runs',
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sa.Column('id', postgresql.UUID(as_uuid=True), nullable=False),
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sa.Column('ticket_id', postgresql.UUID(as_uuid=True), nullable=False),
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sa.Column('organization_id', postgresql.UUID(as_uuid=True), nullable=False),
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sa.Column('run_type', sa.String(), nullable=False),
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sa.Column('status', sa.String(), nullable=False),
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sa.Column('trigger', sa.String(), nullable=False),
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sa.Column('requested_by_user_id', postgresql.UUID(as_uuid=True), nullable=True),
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sa.Column('context_note', sa.Text(), nullable=True),
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sa.Column('max_tool_calls', sa.Integer(), server_default='25', nullable=False),
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sa.Column('max_wall_seconds', sa.Integer(), server_default='600', nullable=False),
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sa.Column('tool_calls_used', sa.Integer(), server_default='0', nullable=False),
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sa.Column('llm_calls', sa.Integer(), server_default='0', nullable=False),
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sa.Column('input_tokens', sa.BigInteger(), server_default='0', nullable=False),
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sa.Column('output_tokens', sa.BigInteger(), server_default='0', nullable=False),
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sa.Column('model_name', sa.String(), nullable=True),
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sa.Column('error', sa.Text(), nullable=True),
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sa.Column('started_at', sa.DateTime(timezone=True), nullable=True),
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sa.Column('finished_at', sa.DateTime(timezone=True), nullable=True),
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sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=True),
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sa.Column('updated_at', sa.DateTime(timezone=True), nullable=True),
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sa.ForeignKeyConstraint(['ticket_id'], ['tickets.id'], ondelete='CASCADE'),
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sa.ForeignKeyConstraint(['organization_id'], ['organizations.id'], ondelete='CASCADE'),
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sa.ForeignKeyConstraint(['requested_by_user_id'], ['users.id'], ondelete='SET NULL'),
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sa.PrimaryKeyConstraint('id'),
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)
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op.create_index(op.f('ix_investigation_runs_ticket_id'), 'investigation_runs', ['ticket_id'])
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op.create_index(op.f('ix_investigation_runs_organization_id'), 'investigation_runs', ['organization_id'])
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# Keeps the worker's poll O(active rows) as terminal rows accumulate.
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op.create_index(
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'ix_investigation_runs_active',
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'investigation_runs',
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['status'],
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postgresql_where=sa.text(
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"status IN ({})".format(", ".join(f"'{s}'" for s in ACTIVE_RUN_STATUSES))
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),
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)
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# Closes the enqueue check-then-insert race: at most one active run per
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# ticket. Lives only in the migration (sqlite tests can't compile the
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# partial WHERE).
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op.execute(
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"CREATE UNIQUE INDEX uq_investigation_runs_one_active ON investigation_runs "
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"(ticket_id) WHERE status IN ('pending', 'running')"
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)
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def downgrade() -> None:
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op.execute("DROP INDEX IF EXISTS uq_investigation_runs_one_active")
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op.drop_index('ix_investigation_runs_active', table_name='investigation_runs')
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op.drop_index(op.f('ix_investigation_runs_organization_id'), table_name='investigation_runs')
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op.drop_index(op.f('ix_investigation_runs_ticket_id'), table_name='investigation_runs')
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op.drop_table('investigation_runs')
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