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Runtime error
File size: 2,086 Bytes
b74c6ae 95412b7 b74c6ae 95412b7 b74c6ae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | """support_chat: conversations and messages for the in app help bot
Revision ID: 0016_support_chat
Revises: 0015_message_feedback
Create Date: 2026-10-06
"""
import sqlalchemy as sa
from alembic import op
revision = "0016_support_chat"
down_revision = "0015_message_feedback"
branch_labels = None
depends_on = None
def upgrade() -> None:
# 0001 builds from the live models, so a fresh database may already have these.
if "support_conversations" in sa.inspect(op.get_bind()).get_table_names():
return
op.create_table(
"support_conversations",
sa.Column("id", sa.Uuid(), primary_key=True),
sa.Column("created_at", sa.DateTime(timezone=True), nullable=False),
sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False),
sa.Column("user_id", sa.Uuid(), sa.ForeignKey("users.id", ondelete="CASCADE"), nullable=False),
sa.Column("title", sa.String(200)),
sa.Column("summary", sa.Text(), nullable=False, server_default=""),
sa.Column("session_state", sa.JSON(), nullable=False),
sa.Column("escalation_count", sa.Integer(), nullable=False, server_default="0"),
)
op.create_index("ix_support_conversations_user_id", "support_conversations", ["user_id"])
op.create_table(
"support_messages",
sa.Column("id", sa.Uuid(), primary_key=True),
sa.Column("created_at", sa.DateTime(timezone=True), nullable=False),
sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False),
sa.Column(
"conversation_id", sa.Uuid(), sa.ForeignKey("support_conversations.id", ondelete="CASCADE"), nullable=False
),
sa.Column("role", sa.String(20), nullable=False),
sa.Column("content", sa.Text(), nullable=False),
sa.Column("page_path", sa.String(300)),
sa.Column("cited_docs", sa.JSON()),
)
op.create_index("ix_support_messages_conversation_id", "support_messages", ["conversation_id"])
def downgrade() -> None:
op.drop_table("support_messages")
op.drop_table("support_conversations")
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