81 lines
3.0 KiB
Python
81 lines
3.0 KiB
Python
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"""Remove retired template scope metadata without changing execution scopes."""
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import sqlalchemy as sa
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from alembic import op
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revision = "0023"
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down_revision = "0022"
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branch_labels = None
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depends_on = None
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# Only structured research documents carry reusable template definitions. Do not
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# rewrite opaque model messages, audit digests, or already-authorized tool calls.
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DOCUMENTS = (
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("research_revisions", ("asset_id", "version"), ("content", "provenance")),
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("research_experiments", ("id",), ("evidence", "parents")),
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("research_flow_runs", ("id",), ("definition", "authorization")),
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("research_step_runs", ("id",), ("output",)),
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("research_requests", ("id",), ("response",)),
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)
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def remove_template_scope(value):
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"""Copy structured templates without scope; preserve input scopes and bindings.
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Match the frozen persisted TemplateSpec shape, including nested feature
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templates and asset snapshots. Never remove an arbitrary key named scope:
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input snapshots and scope-named expression variables still require it.
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"""
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if isinstance(value, list):
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return [remove_template_scope(item) for item in value]
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if not isinstance(value, dict):
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return value
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is_template = (
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isinstance(value.get("name"), str)
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and isinstance(value.get("expression"), str)
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and isinstance(value.get("variables"), dict)
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)
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return {
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key: remove_template_scope(item)
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for key, item in value.items()
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if not (is_template and key == "scope")
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}
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def upgrade():
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"""Clean template documents in bounded batches, retaining IDs and versions."""
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connection = op.get_bind()
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for name, keys, documents in DOCUMENTS:
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table = sa.table(name, *(
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[sa.column(key, sa.Integer() if key == "version" else sa.String()) for key in keys]
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+ [sa.column(column, sa.JSON()) for column in documents]
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))
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last = None
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while True:
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query = sa.select(table).order_by(*(table.c[key] for key in keys)).limit(500)
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if last is not None:
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query = query.where(sa.or_(*(
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sa.and_(*(table.c[keys[j]] == last[j] for j in range(i)), table.c[key] > last[i])
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for i, key in enumerate(keys)
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)))
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rows = connection.execute(query).mappings().all()
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if not rows:
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break
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for row in rows:
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changes = {}
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for column in documents:
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cleaned = remove_template_scope(row[column])
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if cleaned != row[column]:
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changes[column] = cleaned
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if changes:
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connection.execute(table.update().where(
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*(table.c[key] == row[key] for key in keys)
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).values(**changes))
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last = tuple(rows[-1][key] for key in keys)
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def downgrade():
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# Previous schemas allow absent template scope; deleted metadata cannot be
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# reconstructed. Execution scopes and all other research data are unchanged.
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pass
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