"""add pmflow ai feedback events

Revision ID: 20260503_add_pmflow_ai_feedback_events
Revises: 20260501_add_pmflow_launch_draft_jobs
Create Date: 2026-05-03
"""

from __future__ import annotations

from alembic import op
import sqlalchemy as sa

try:
    from sqlalchemy.dialects.postgresql import JSONB
except Exception:  # pragma: no cover
    JSONB = sa.JSON


revision = "20260503_add_pmflow_ai_feedback_events"
down_revision = "20260501_add_pmflow_launch_draft_jobs"
branch_labels = None
depends_on = None


def _json_type(bind):
    return JSONB() if bind.dialect.name == "postgresql" else sa.JSON()


def _table_exists(bind, table_name: str) -> bool:
    return sa.inspect(bind).has_table(table_name)


def upgrade() -> None:
    bind = op.get_bind()
    if _table_exists(bind, "pmflow_ai_feedback_events"):
        return

    json_type = _json_type(bind)
    op.create_table(
        "pmflow_ai_feedback_events",
        sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
        sa.Column("tenant_id", sa.BigInteger(), nullable=False),
        sa.Column("created_at", sa.TIMESTAMP(), server_default=sa.func.now(), nullable=False),
        sa.Column("updated_at", sa.TIMESTAMP(), server_default=sa.func.now(), nullable=False),
        sa.Column("project_id", sa.BigInteger(), sa.ForeignKey("projects.id"), nullable=False),
        sa.Column("thread_id", sa.BigInteger(), sa.ForeignKey("pmflow_threads.id"), nullable=True),
        sa.Column("message_id", sa.BigInteger(), sa.ForeignKey("pmflow_thread_messages.id"), nullable=True),
        sa.Column("change_set_id", sa.BigInteger(), sa.ForeignKey("pmflow_change_sets.id"), nullable=True),
        sa.Column("ai_call_log_id", sa.BigInteger(), nullable=True),
        sa.Column("actor_user_id", sa.BigInteger(), sa.ForeignKey("users.id"), nullable=False),
        sa.Column("target_type", sa.String(length=64), nullable=False),
        sa.Column("target_id", sa.String(length=128), nullable=False),
        sa.Column("answer_kind", sa.String(length=64), nullable=False, server_default="chat_answer"),
        sa.Column("rating", sa.String(length=16), nullable=False),
        sa.Column("reason_tags", json_type, nullable=False),
        sa.Column("comment", sa.Text(), nullable=True),
        sa.Column("scene_key", sa.String(length=128), nullable=True),
        sa.Column("prompt_key", sa.String(length=128), nullable=True),
        sa.Column("prompt_release_id", sa.Integer(), nullable=True),
        sa.Column("runtime_profile_id", sa.String(length=128), nullable=True),
        sa.Column("model_provider", sa.String(length=64), nullable=True),
        sa.Column("model_name", sa.String(length=120), nullable=True),
        sa.Column("feedback_metadata", json_type, nullable=False),
        sa.UniqueConstraint(
            "tenant_id",
            "project_id",
            "actor_user_id",
            "target_type",
            "target_id",
            name="uq_pmflow_ai_feedback_target_user",
        ),
    )
    for column_name in (
        "tenant_id",
        "project_id",
        "thread_id",
        "message_id",
        "change_set_id",
        "ai_call_log_id",
        "actor_user_id",
        "target_type",
        "target_id",
        "answer_kind",
        "rating",
        "scene_key",
        "prompt_key",
        "prompt_release_id",
        "runtime_profile_id",
    ):
        op.create_index(
            f"ix_pmflow_ai_feedback_events_{column_name}",
            "pmflow_ai_feedback_events",
            [column_name],
            unique=False,
        )


def downgrade() -> None:
    bind = op.get_bind()
    if not _table_exists(bind, "pmflow_ai_feedback_events"):
        return
    for column_name in (
        "runtime_profile_id",
        "prompt_release_id",
        "prompt_key",
        "scene_key",
        "rating",
        "answer_kind",
        "target_id",
        "target_type",
        "actor_user_id",
        "ai_call_log_id",
        "change_set_id",
        "message_id",
        "thread_id",
        "project_id",
        "tenant_id",
    ):
        op.drop_index(f"ix_pmflow_ai_feedback_events_{column_name}", table_name="pmflow_ai_feedback_events")
    op.drop_table("pmflow_ai_feedback_events")