121 lines
4.1 KiB
Python
121 lines
4.1 KiB
Python
"""add pmflow ai feedback events
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Revision ID: 20260503_add_pmflow_ai_feedback_events
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Revises: 20260501_add_pmflow_launch_draft_jobs
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Create Date: 2026-05-03
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"""
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from __future__ import annotations
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from alembic import op
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import sqlalchemy as sa
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try:
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from sqlalchemy.dialects.postgresql import JSONB
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except Exception: # pragma: no cover
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JSONB = sa.JSON
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revision = "20260503_add_pmflow_ai_feedback_events"
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down_revision = "20260501_add_pmflow_launch_draft_jobs"
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branch_labels = None
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depends_on = None
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def _json_type(bind):
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return JSONB() if bind.dialect.name == "postgresql" else sa.JSON()
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def _table_exists(bind, table_name: str) -> bool:
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return sa.inspect(bind).has_table(table_name)
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def upgrade() -> None:
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bind = op.get_bind()
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if _table_exists(bind, "pmflow_ai_feedback_events"):
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return
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json_type = _json_type(bind)
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op.create_table(
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"pmflow_ai_feedback_events",
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sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
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sa.Column("tenant_id", sa.BigInteger(), nullable=False),
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sa.Column("created_at", sa.TIMESTAMP(), server_default=sa.func.now(), nullable=False),
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sa.Column("updated_at", sa.TIMESTAMP(), server_default=sa.func.now(), nullable=False),
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sa.Column("project_id", sa.BigInteger(), sa.ForeignKey("projects.id"), nullable=False),
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sa.Column("thread_id", sa.BigInteger(), sa.ForeignKey("pmflow_threads.id"), nullable=True),
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sa.Column("message_id", sa.BigInteger(), sa.ForeignKey("pmflow_thread_messages.id"), nullable=True),
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sa.Column("change_set_id", sa.BigInteger(), sa.ForeignKey("pmflow_change_sets.id"), nullable=True),
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sa.Column("ai_call_log_id", sa.BigInteger(), nullable=True),
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sa.Column("actor_user_id", sa.BigInteger(), sa.ForeignKey("users.id"), nullable=False),
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sa.Column("target_type", sa.String(length=64), nullable=False),
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sa.Column("target_id", sa.String(length=128), nullable=False),
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sa.Column("answer_kind", sa.String(length=64), nullable=False, server_default="chat_answer"),
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sa.Column("rating", sa.String(length=16), nullable=False),
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sa.Column("reason_tags", json_type, nullable=False),
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sa.Column("comment", sa.Text(), nullable=True),
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sa.Column("scene_key", sa.String(length=128), nullable=True),
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sa.Column("prompt_key", sa.String(length=128), nullable=True),
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sa.Column("prompt_release_id", sa.Integer(), nullable=True),
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sa.Column("runtime_profile_id", sa.String(length=128), nullable=True),
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sa.Column("model_provider", sa.String(length=64), nullable=True),
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sa.Column("model_name", sa.String(length=120), nullable=True),
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sa.Column("feedback_metadata", json_type, nullable=False),
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sa.UniqueConstraint(
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"tenant_id",
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"project_id",
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"actor_user_id",
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"target_type",
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"target_id",
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name="uq_pmflow_ai_feedback_target_user",
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),
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)
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for column_name in (
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"tenant_id",
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"project_id",
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"thread_id",
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"message_id",
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"change_set_id",
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"ai_call_log_id",
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"actor_user_id",
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"target_type",
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"target_id",
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"answer_kind",
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"rating",
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"scene_key",
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"prompt_key",
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"prompt_release_id",
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"runtime_profile_id",
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):
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op.create_index(
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f"ix_pmflow_ai_feedback_events_{column_name}",
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"pmflow_ai_feedback_events",
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[column_name],
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unique=False,
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)
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def downgrade() -> None:
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bind = op.get_bind()
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if not _table_exists(bind, "pmflow_ai_feedback_events"):
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return
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for column_name in (
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"runtime_profile_id",
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"prompt_release_id",
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"prompt_key",
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"scene_key",
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"rating",
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"answer_kind",
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"target_id",
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"target_type",
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"actor_user_id",
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"ai_call_log_id",
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"change_set_id",
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"message_id",
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"thread_id",
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"project_id",
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"tenant_id",
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):
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op.drop_index(f"ix_pmflow_ai_feedback_events_{column_name}", table_name="pmflow_ai_feedback_events")
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op.drop_table("pmflow_ai_feedback_events")
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