"""Update the columns that need to change their type to text

Revision ID: 0ae3a2674f32
Revises: d2d475a1f7c0
Create Date: 2024-10-04 17:30:12.924809

"""

from collections.abc import Sequence

import sqlalchemy as sa
from alembic import op

from langflow.utils import migration

# revision identifiers, used by Alembic.
revision: str = "0ae3a2674f32"
down_revision: str | None = "d2d475a1f7c0"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None


def upgrade() -> None:
    conn = op.get_bind()
    # ### commands auto generated by Alembic - please adjust! ###
    inspector = sa.inspect(conn)  # type: ignore

    with op.batch_alter_table("vertex_build", schema=None) as batch_op:
        if migration.column_exists(table_name="vertex_build", column_name="params", conn=conn):
            columns = inspector.get_columns("vertex_build")
            params_column = next((column for column in columns if column["name"] == "params"), None)
            if params_column is not None and isinstance(params_column["type"], sa.VARCHAR):
                batch_op.alter_column("params", existing_type=sa.VARCHAR(), type_=sa.Text(), existing_nullable=True)

    with op.batch_alter_table("message", schema=None) as batch_op:
        if migration.column_exists(table_name="message", column_name="text", conn=conn):
            columns = inspector.get_columns("message")
            text_column = next((column for column in columns if column["name"] == "text"), None)
            if text_column is not None and isinstance(text_column["type"], sa.VARCHAR):
                batch_op.alter_column("text", existing_type=sa.VARCHAR(), type_=sa.Text(), existing_nullable=True)

    # ### end Alembic commands ###


def downgrade() -> None:
    conn = op.get_bind()
    # ### commands auto generated by Alembic - please adjust! ###
    inspector = sa.inspect(conn)  # type: ignore
    with op.batch_alter_table("message", schema=None) as batch_op:
        if migration.column_exists(table_name="message", column_name="text", conn=conn):
            columns = inspector.get_columns("message")
            text_column = next((column for column in columns if column["name"] == "text"), None)
            if text_column is not None and isinstance(text_column["type"], sa.VARCHAR):
                batch_op.alter_column("text", existing_type=sa.VARCHAR(), type_=sa.Text(), existing_nullable=True)

    with op.batch_alter_table("vertex_build", schema=None) as batch_op:
        if migration.column_exists(table_name="vertex_build", column_name="params", conn=conn):
            columns = inspector.get_columns("vertex_build")
            params_column = next((column for column in columns if column["name"] == "params"), None)
            if params_column is not None and isinstance(params_column["type"], sa.VARCHAR):
                batch_op.alter_column("params", existing_type=sa.VARCHAR(), type_=sa.Text(), existing_nullable=True)
    # ### end Alembic commands ###
