"""add adaptive rag tables

Revision ID: add_adaptive_rag_tables
Revises: add_feishu_queue_sstc_links
Create Date: 2026-03-02
"""

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

try:
    from pgvector.sqlalchemy import Vector
except Exception:  # pragma: no cover
    Vector = None

# revision identifiers, used by Alembic.
revision = "add_adaptive_rag_tables"
down_revision = "add_feishu_queue_sstc_links"
branch_labels = None
depends_on = None


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


def _embedding_type(bind):
    if bind.dialect.name == "postgresql" and Vector is not None:
        return Vector(768)
    return sa.Text()


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


def _index_exists(bind, table_name: str, index_name: str) -> bool:
    inspector = sa.inspect(bind)
    indexes = inspector.get_indexes(table_name)
    return any(idx.get("name") == index_name for idx in indexes)


def _create_index_if_not_exists(bind, index_name: str, table_name: str, columns: list[str]):
    if not _index_exists(bind, table_name, index_name):
        op.create_index(index_name, table_name, columns)


def _drop_index_if_exists(bind, index_name: str, table_name: str):
    if _index_exists(bind, table_name, index_name):
        op.drop_index(index_name, table_name=table_name)


def upgrade():
    bind = op.get_bind()

    if not _table_exists(bind, "knowledge_base_docs"):
        op.create_table(
            "knowledge_base_docs",
            sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
            sa.Column("tenant_id", sa.BigInteger(), nullable=False, server_default="1"),
            sa.Column("created_at", sa.TIMESTAMP(), nullable=False, server_default=sa.func.now()),
            sa.Column("updated_at", sa.TIMESTAMP(), nullable=False, server_default=sa.func.now(), onupdate=sa.func.now()),
            sa.Column("title", sa.String(length=255), nullable=False),
            sa.Column("file_type", sa.String(length=32), nullable=False),
            sa.Column("source_type", sa.String(length=32), nullable=False, server_default="file"),
            sa.Column("file_url", sa.String(length=1024), nullable=True),
            sa.Column("uploaded_by", sa.BigInteger(), nullable=True),
            sa.Column("status", sa.String(length=20), nullable=False, server_default="processing"),
            sa.Column("last_fetched_at", sa.TIMESTAMP(), nullable=True),
            sa.Column("error_message", sa.String(length=500), nullable=True),
        )

    _create_index_if_not_exists(bind, "ix_knowledge_base_docs_tenant_id", "knowledge_base_docs", ["tenant_id"])
    _create_index_if_not_exists(bind, "ix_knowledge_base_docs_created_at", "knowledge_base_docs", ["created_at"])
    _create_index_if_not_exists(bind, "ix_knowledge_base_docs_source_type", "knowledge_base_docs", ["source_type"])
    _create_index_if_not_exists(bind, "ix_knowledge_base_docs_status", "knowledge_base_docs", ["status"])

    if not _table_exists(bind, "knowledge_base_chunks"):
        op.create_table(
            "knowledge_base_chunks",
            sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
            sa.Column("tenant_id", sa.BigInteger(), nullable=False, server_default="1"),
            sa.Column("created_at", sa.TIMESTAMP(), nullable=False, server_default=sa.func.now()),
            sa.Column("updated_at", sa.TIMESTAMP(), nullable=False, server_default=sa.func.now(), onupdate=sa.func.now()),
            sa.Column("doc_id", sa.Integer(), sa.ForeignKey("knowledge_base_docs.id", ondelete="CASCADE"), nullable=True),
            sa.Column("source_type", sa.String(length=32), nullable=False, server_default="doc"),
            sa.Column("project_id", sa.BigInteger(), nullable=True),
            sa.Column("content", sa.Text(), nullable=False),
            sa.Column("embedding", _embedding_type(bind), nullable=True),
            sa.Column("chunk_index", sa.Integer(), nullable=False, server_default="0"),
            sa.Column("metadata", _json_type(bind), nullable=True),
        )

    _create_index_if_not_exists(bind, "ix_knowledge_base_chunks_tenant_id", "knowledge_base_chunks", ["tenant_id"])
    _create_index_if_not_exists(bind, "ix_knowledge_base_chunks_created_at", "knowledge_base_chunks", ["created_at"])
    _create_index_if_not_exists(bind, "ix_knowledge_base_chunks_doc_id", "knowledge_base_chunks", ["doc_id"])
    _create_index_if_not_exists(bind, "ix_knowledge_base_chunks_source_type", "knowledge_base_chunks", ["source_type"])
    _create_index_if_not_exists(bind, "ix_knowledge_base_chunks_project_id", "knowledge_base_chunks", ["project_id"])

    if not _table_exists(bind, "qa_records"):
        op.create_table(
            "qa_records",
            sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
            sa.Column("tenant_id", sa.BigInteger(), nullable=False, server_default="1"),
            sa.Column("created_at", sa.TIMESTAMP(), nullable=False, server_default=sa.func.now()),
            sa.Column("updated_at", sa.TIMESTAMP(), nullable=False, server_default=sa.func.now(), onupdate=sa.func.now()),
            sa.Column("question", sa.Text(), nullable=False),
            sa.Column("answer", sa.Text(), nullable=False),
            sa.Column("sources", _json_type(bind), nullable=True),
            sa.Column("intent", sa.String(length=20), nullable=False, server_default="question"),
            sa.Column("domains_used", _json_type(bind), nullable=True),
            sa.Column("response_time_ms", sa.Integer(), nullable=True),
            sa.Column("asked_by", sa.BigInteger(), nullable=True),
            sa.Column("asked_via", sa.String(length=20), nullable=False, server_default="pmflow"),
            sa.Column("project_id", sa.BigInteger(), nullable=True),
        )

    _create_index_if_not_exists(bind, "ix_qa_records_tenant_id", "qa_records", ["tenant_id"])
    _create_index_if_not_exists(bind, "ix_qa_records_created_at", "qa_records", ["created_at"])
    _create_index_if_not_exists(bind, "ix_qa_records_asked_by", "qa_records", ["asked_by"])
    _create_index_if_not_exists(bind, "ix_qa_records_asked_via", "qa_records", ["asked_via"])
    _create_index_if_not_exists(bind, "ix_qa_records_project_id", "qa_records", ["project_id"])
    _create_index_if_not_exists(bind, "ix_qa_records_intent", "qa_records", ["intent"])

    if not _table_exists(bind, "qa_feedback"):
        op.create_table(
            "qa_feedback",
            sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
            sa.Column("tenant_id", sa.BigInteger(), nullable=False, server_default="1"),
            sa.Column("created_at", sa.TIMESTAMP(), nullable=False, server_default=sa.func.now()),
            sa.Column("updated_at", sa.TIMESTAMP(), nullable=False, server_default=sa.func.now(), onupdate=sa.func.now()),
            sa.Column("qa_id", sa.Integer(), sa.ForeignKey("qa_records.id", ondelete="CASCADE"), nullable=False),
            sa.Column("rating", sa.String(length=16), nullable=False),
            sa.Column("helpfulness", sa.String(length=32), nullable=True),
            sa.Column("error_types", _json_type(bind), nullable=True),
            sa.Column("correct_answer", sa.Text(), nullable=True),
            sa.Column("submitted_by", sa.BigInteger(), nullable=True),
        )

    _create_index_if_not_exists(bind, "ix_qa_feedback_tenant_id", "qa_feedback", ["tenant_id"])
    _create_index_if_not_exists(bind, "ix_qa_feedback_created_at", "qa_feedback", ["created_at"])
    _create_index_if_not_exists(bind, "ix_qa_feedback_qa_id", "qa_feedback", ["qa_id"])
    _create_index_if_not_exists(bind, "ix_qa_feedback_rating", "qa_feedback", ["rating"])
    _create_index_if_not_exists(bind, "ix_qa_feedback_submitted_by", "qa_feedback", ["submitted_by"])


def downgrade():
    bind = op.get_bind()

    if _table_exists(bind, "qa_feedback"):
        _drop_index_if_exists(bind, "ix_qa_feedback_submitted_by", "qa_feedback")
        _drop_index_if_exists(bind, "ix_qa_feedback_rating", "qa_feedback")
        _drop_index_if_exists(bind, "ix_qa_feedback_qa_id", "qa_feedback")
        _drop_index_if_exists(bind, "ix_qa_feedback_created_at", "qa_feedback")
        _drop_index_if_exists(bind, "ix_qa_feedback_tenant_id", "qa_feedback")
        op.drop_table("qa_feedback")

    if _table_exists(bind, "qa_records"):
        _drop_index_if_exists(bind, "ix_qa_records_intent", "qa_records")
        _drop_index_if_exists(bind, "ix_qa_records_project_id", "qa_records")
        _drop_index_if_exists(bind, "ix_qa_records_asked_via", "qa_records")
        _drop_index_if_exists(bind, "ix_qa_records_asked_by", "qa_records")
        _drop_index_if_exists(bind, "ix_qa_records_created_at", "qa_records")
        _drop_index_if_exists(bind, "ix_qa_records_tenant_id", "qa_records")
        op.drop_table("qa_records")

    if _table_exists(bind, "knowledge_base_chunks"):
        _drop_index_if_exists(bind, "ix_knowledge_base_chunks_project_id", "knowledge_base_chunks")
        _drop_index_if_exists(bind, "ix_knowledge_base_chunks_source_type", "knowledge_base_chunks")
        _drop_index_if_exists(bind, "ix_knowledge_base_chunks_doc_id", "knowledge_base_chunks")
        _drop_index_if_exists(bind, "ix_knowledge_base_chunks_created_at", "knowledge_base_chunks")
        _drop_index_if_exists(bind, "ix_knowledge_base_chunks_tenant_id", "knowledge_base_chunks")
        op.drop_table("knowledge_base_chunks")

    if _table_exists(bind, "knowledge_base_docs"):
        _drop_index_if_exists(bind, "ix_knowledge_base_docs_status", "knowledge_base_docs")
        _drop_index_if_exists(bind, "ix_knowledge_base_docs_source_type", "knowledge_base_docs")
        _drop_index_if_exists(bind, "ix_knowledge_base_docs_created_at", "knowledge_base_docs")
        _drop_index_if_exists(bind, "ix_knowledge_base_docs_tenant_id", "knowledge_base_docs")
        op.drop_table("knowledge_base_docs")