80 lines
2.7 KiB
Python
80 lines
2.7 KiB
Python
"""add ai call trace fields
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Revision ID: 20260429_add_ai_call_trace_fields
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Revises: 20260428_add_saved_idea_enrichment
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Create Date: 2026-04-29
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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 = "20260429_add_ai_call_trace_fields"
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down_revision = "20260428_add_saved_idea_enrichment"
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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 _column_exists(bind, table_name: str, column_name: str) -> bool:
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inspector = sa.inspect(bind)
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if not inspector.has_table(table_name):
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return False
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return any(str(item.get("name") or "") == column_name for item in inspector.get_columns(table_name))
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def upgrade() -> None:
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bind = op.get_bind()
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table_name = "ai_call_logs"
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if not _table_exists(bind, table_name):
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return
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columns = [
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("trace_id", sa.Column("trace_id", sa.String(length=80), nullable=True)),
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("provider", sa.Column("provider", sa.String(length=64), nullable=True)),
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("model", sa.Column("model", sa.String(length=120), nullable=True)),
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("latency_ms", sa.Column("latency_ms", sa.Integer(), nullable=True)),
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("routing_meta", sa.Column("routing_meta", _json_type(bind), nullable=True)),
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]
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for column_name, column in columns:
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if not _column_exists(bind, table_name, column_name):
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op.add_column(table_name, column)
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existing_indexes = {index["name"] for index in sa.inspect(bind).get_indexes(table_name)}
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for index_name, column_names in (
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("ix_ai_call_logs_trace_id", ["trace_id"]),
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("ix_ai_call_logs_provider", ["provider"]),
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("ix_ai_call_logs_model", ["model"]),
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):
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if index_name not in existing_indexes:
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op.create_index(index_name, table_name, column_names, unique=False)
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def downgrade() -> None:
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bind = op.get_bind()
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table_name = "ai_call_logs"
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if not _table_exists(bind, table_name):
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return
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existing_indexes = {index["name"] for index in sa.inspect(bind).get_indexes(table_name)}
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for index_name in ("ix_ai_call_logs_model", "ix_ai_call_logs_provider", "ix_ai_call_logs_trace_id"):
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if index_name in existing_indexes:
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op.drop_index(index_name, table_name=table_name)
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for column_name in ("routing_meta", "latency_ms", "model", "provider", "trace_id"):
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if _column_exists(bind, table_name, column_name):
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op.drop_column(table_name, column_name)
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