122 lines
5.3 KiB
Python
122 lines
5.3 KiB
Python
"""initial
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Revision ID: 0001
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Revises:
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Create Date: 2026-08-02 00:00:00.000000
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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from sqlalchemy.dialects import postgresql
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# revision identifiers, used by Alembic.
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revision: str = "0001"
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down_revision: Union[str, None] = None
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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op.create_table(
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"samples",
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sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True),
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sa.Column("repo", sa.String(255), nullable=False),
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sa.Column("commit_sha", sa.String(40), nullable=False),
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sa.Column("language", sa.String(50), nullable=False),
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sa.Column("diff", sa.Text, nullable=False),
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sa.Column("before_context", sa.Text, nullable=True),
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sa.Column("after_context", sa.Text, nullable=True),
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sa.Column("created_at", sa.DateTime, nullable=False),
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)
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op.create_table(
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"defects",
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sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True),
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sa.Column("sample_id", postgresql.UUID(as_uuid=True), sa.ForeignKey("samples.id"), nullable=False),
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sa.Column("defect_type", sa.String(100), nullable=False),
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sa.Column("language", sa.String(50), nullable=False),
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sa.Column("line_start", sa.Integer, nullable=True),
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sa.Column("line_end", sa.Integer, nullable=True),
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sa.Column("description", sa.Text, nullable=True),
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sa.Column("reference_fix", sa.Text, nullable=True),
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sa.Column("created_at", sa.DateTime, nullable=False),
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)
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op.create_table(
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"prompt_templates",
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sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True),
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sa.Column("strategy_id", sa.String(100), nullable=False),
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sa.Column("level", sa.String(20), nullable=False),
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sa.Column("created_at", sa.DateTime, nullable=False),
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sa.UniqueConstraint("strategy_id", "level", name="uix_strategy_level"),
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)
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op.create_table(
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"prompt_template_versions",
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sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True),
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sa.Column("template_id", postgresql.UUID(as_uuid=True), sa.ForeignKey("prompt_templates.id"), nullable=False),
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sa.Column("version_number", sa.Integer, nullable=False),
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sa.Column("body", sa.Text, nullable=False),
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sa.Column("variables_schema", sa.JSON, nullable=False),
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sa.Column("created_at", sa.DateTime, nullable=False),
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)
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op.create_table(
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"experiments",
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sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True),
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sa.Column("name", sa.String(255), nullable=False),
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sa.Column("models", sa.JSON, nullable=False),
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sa.Column("levels", sa.JSON, nullable=False),
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sa.Column("sample_ids", sa.JSON, nullable=False),
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sa.Column("repeats", sa.Integer, nullable=False),
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sa.Column("sampling_params", sa.JSON, nullable=False),
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sa.Column("status", sa.String(20), nullable=False),
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sa.Column("created_at", sa.DateTime, nullable=False),
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)
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op.create_table(
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"experiment_runs",
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sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True),
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sa.Column("run_id", sa.String(64), unique=True, nullable=False),
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sa.Column("experiment_id", postgresql.UUID(as_uuid=True), sa.ForeignKey("experiments.id"), nullable=False),
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sa.Column("sample_id", postgresql.UUID(as_uuid=True), sa.ForeignKey("samples.id"), nullable=False),
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sa.Column("model_id", sa.String(100), nullable=False),
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sa.Column("template_version_id", postgresql.UUID(as_uuid=True), sa.ForeignKey("prompt_template_versions.id"), nullable=False),
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sa.Column("repeat_index", sa.Integer, nullable=False),
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sa.Column("status", sa.String(20), nullable=False),
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sa.Column("retry_count", sa.Integer, nullable=False),
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sa.Column("sampling_params", sa.JSON, nullable=False),
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sa.Column("started_at", sa.DateTime, nullable=True),
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sa.Column("completed_at", sa.DateTime, nullable=True),
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sa.Column("created_at", sa.DateTime, nullable=False),
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)
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op.create_table(
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"results",
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sa.Column("id", postgresql.UUID(as_uuid=True), primary_key=True),
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sa.Column("run_id", postgresql.UUID(as_uuid=True), sa.ForeignKey("experiment_runs.id"), nullable=False, unique=True),
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sa.Column("raw_output", sa.Text, nullable=True),
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sa.Column("token_usage", sa.JSON, nullable=True),
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sa.Column("latency_ms", sa.Float, nullable=True),
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sa.Column("parsed_findings", sa.JSON, nullable=True),
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sa.Column("detection_rate", sa.Float, nullable=True),
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sa.Column("false_positive_rate", sa.Float, nullable=True),
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sa.Column("coverage_rate", sa.Float, nullable=True),
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sa.Column("stability_score", sa.Float, nullable=True),
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sa.Column("likert_score", sa.Integer, nullable=True),
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sa.Column("created_at", sa.DateTime, nullable=False),
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sa.Column("updated_at", sa.DateTime, nullable=False),
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)
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def downgrade() -> None:
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op.drop_table("results")
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op.drop_table("experiment_runs")
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op.drop_table("experiments")
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op.drop_table("prompt_template_versions")
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op.drop_table("prompt_templates")
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op.drop_table("defects")
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op.drop_table("samples")
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