fixing workos auth

Reviewed-on: #9

.dockerignore

@@ -0,0 +1,16 @@
+.git
+.pytest_cache
+.ruff_cache
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.venv
+venv
+env
+ENV
+.env
+dist
+build
+htmlcov
+coverage.xml

.env.example

@@ -0,0 +1,21 @@
+# Postgres used by the FastAPI app
+DATA_SCIENCE_DEV_DB=your_existing_database
+DATA_SCIENCE_DEV_HOST=your_existing_postgres_host
+DATA_SCIENCE_DEV_PORT=5432
+DATA_SCIENCE_DEV_USER=your_existing_postgres_user
+DATA_SCIENCE_DEV_PASSWORD=your_existing_postgres_password
+
+# WorkOS AuthKit
+WORKOS_API_KEY=sk_test_your_workos_api_key
+WORKOS_CLIENT_ID=client_your_workos_client_id
+WORKOS_COOKIE_PASSWORD=replace_with_a_long_random_secret_at_least_32_chars
+WORKOS_ORGANIZATION_ID=org_your_workspace_org_id
+WORKOS_REDIRECT_URI=http://localhost:8000/callback
+WORKOS_LOGOUT_REDIRECT_URI=http://localhost:8000/
+WORKOS_SESSION_COOKIE_NAME=workos_session
+
+# Optional local port overrides for Docker Compose
+WEB_PUBLISHED_PORT=8000
+
+# Only used if you explicitly start the optional local Postgres profile
+POSTGRES_PUBLISHED_PORT=5432

.gitignore

@@ -110,7 +110,7 @@ ipython_config.py
 
 # pdm
 #   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#   pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-pipelines.
+#   pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
 #   https://pdm-project.org/en/latest/usage/project/#working-with-version-control
 # pdm.lock
 # pdm.toml

Dockerfile

@@ -0,0 +1,25 @@
+FROM python:3.12-slim
+
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+WORKDIR /app
+
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends libpq5 \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY pyproject.toml /app/pyproject.toml
+COPY __init__.py /app/__init__.py
+COPY alembic /app/alembic
+COPY database_cli.py /app/database_cli.py
+COPY pipelines /app/pipelines
+COPY docker /app/docker
+
+RUN pip install --no-cache-dir .
+
+RUN chmod +x /app/docker/web-entrypoint.sh
+
+EXPOSE 8000
+
+CMD ["/app/docker/web-entrypoint.sh"]

alembic/data_science_dev/versions/2026_04_22-adding_legislatorscorefake_06f833813bd7.py

@@ -0,0 +1,98 @@
+"""adding LegislatorScoreFake.
+
+Revision ID: 06f833813bd7
+Revises: b63ed11d6775
+Create Date: 2026-04-22 18:41:07.484609
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+
+from alembic import op
+from pipelines.orm import DataScienceDevBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "06f833813bd7"
+down_revision: str | None = "b63ed11d6775"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+schema = DataScienceDevBase.schema_name
+
+
+def upgrade() -> None:
+    """Upgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        "legislator_score_fake",
+        sa.Column("legislator_id", sa.Integer(), nullable=False),
+        sa.Column("year", sa.Integer(), nullable=False),
+        sa.Column("topic", sa.String(), nullable=False),
+        sa.Column("score", sa.Float(), nullable=False),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["legislator_id"],
+            [f"{schema}.legislator.id"],
+            name=op.f("fk_legislator_score_fake_legislator_id_legislator"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_legislator_score_fake")),
+        sa.UniqueConstraint(
+            "legislator_id",
+            "year",
+            "topic",
+            name="uq_legislator_score_fake_legislator_id_year_topic",
+        ),
+        schema=schema,
+    )
+    op.create_index(
+        op.f("ix_legislator_score_fake_legislator_id"),
+        "legislator_score_fake",
+        ["legislator_id"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_index(
+        "ix_legislator_score_fake_year_topic",
+        "legislator_score_fake",
+        ["year", "topic"],
+        unique=False,
+        schema=schema,
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_index(
+        "ix_legislator_score_fake_year_topic",
+        table_name="legislator_score_fake",
+        schema=schema,
+    )
+    op.drop_index(
+        op.f("ix_legislator_score_fake_legislator_id"),
+        table_name="legislator_score_fake",
+        schema=schema,
+    )
+    op.drop_table("legislator_score_fake", schema=schema)
+    # ### end Alembic commands ###

alembic/data_science_dev/versions/2026_04_23-add_vote_bill_text_link_9c7d4a2e1b10.py

@@ -0,0 +1,64 @@
+"""add vote.bill_text_id linkage.
+
+Revision ID: 9c7d4a2e1b10
+Revises: 06f833813bd7
+Create Date: 2026-04-23 00:00:00.000000
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+
+from alembic import op
+from pipelines.orm import DataScienceDevBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "9c7d4a2e1b10"
+down_revision: str | None = "06f833813bd7"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+schema = DataScienceDevBase.schema_name
+
+
+def upgrade() -> None:
+    """Upgrade."""
+    op.add_column(
+        "vote",
+        sa.Column("bill_text_id", sa.Integer(), nullable=True),
+        schema=schema,
+    )
+    op.create_index(
+        "ix_vote_bill_text_id",
+        "vote",
+        ["bill_text_id"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_foreign_key(
+        "fk_vote_bill_text_id_bill_text",
+        "vote",
+        "bill_text",
+        ["bill_text_id"],
+        ["id"],
+        source_schema=schema,
+        referent_schema=schema,
+    )
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    op.drop_constraint(
+        "fk_vote_bill_text_id_bill_text",
+        "vote",
+        schema=schema,
+        type_="foreignkey",
+    )
+    op.drop_index("ix_vote_bill_text_id", table_name="vote", schema=schema)
+    op.drop_column("vote", "bill_text_id", schema=schema)

alembic/data_science_dev/versions/2026_04_25-canonical_vote_context_v3_1f8c0e7a9d21.py

@@ -0,0 +1,844 @@
+"""canonical vote context v3.
+
+Revision ID: 1f8c0e7a9d21
+Revises: 9c7d4a2e1b10
+Create Date: 2026-04-25 00:00:00.000000
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+from alembic import op
+from pipelines.orm import DataScienceDevBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+
+revision: str = "1f8c0e7a9d21"
+down_revision: str | None = "9c7d4a2e1b10"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+schema = DataScienceDevBase.schema_name
+
+
+def upgrade() -> None:
+    """Upgrade."""
+    op.create_table(
+        "ingest_run",
+        sa.Column("started_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("completed_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("git_sha", sa.String(), nullable=True),
+        sa.Column("classifier_version", sa.String(), nullable=True),
+        sa.Column("source_snapshot_label", sa.String(), nullable=True),
+        sa.Column("status", sa.String(), nullable=False),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_ingest_run")),
+        schema=schema,
+    )
+    op.create_table(
+        "source_artifact",
+        sa.Column("source_kind", sa.String(), nullable=False),
+        sa.Column("congress", sa.Integer(), nullable=False),
+        sa.Column("chamber", sa.String(), nullable=True),
+        sa.Column("local_path", sa.String(), nullable=False),
+        sa.Column("source_url", sa.String(), nullable=True),
+        sa.Column("sha256", sa.String(), nullable=False),
+        sa.Column("byte_size", sa.Integer(), nullable=False),
+        sa.Column("modified_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("ingested_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("ingest_run_id", sa.Integer(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["ingest_run_id"],
+            [f"{schema}.ingest_run.id"],
+            name=op.f("fk_source_artifact_ingest_run_id_ingest_run"),
+            ondelete="SET NULL",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_source_artifact")),
+        schema=schema,
+    )
+    op.create_index(
+        "ix_source_artifact_source_kind",
+        "source_artifact",
+        ["source_kind"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_index(
+        "ix_source_artifact_congress",
+        "source_artifact",
+        ["congress"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_table(
+        "score_run",
+        sa.Column("ingest_run_id", sa.Integer(), nullable=True),
+        sa.Column("classifier_version", sa.String(), nullable=True),
+        sa.Column("scoring_version", sa.String(), nullable=True),
+        sa.Column("included_vote_count", sa.Integer(), nullable=False),
+        sa.Column("excluded_vote_count", sa.Integer(), nullable=False),
+        sa.Column("started_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("completed_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["ingest_run_id"],
+            [f"{schema}.ingest_run.id"],
+            name=op.f("fk_score_run_ingest_run_id_ingest_run"),
+            ondelete="SET NULL",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_score_run")),
+        schema=schema,
+    )
+    op.add_column(
+        "legislator_score",
+        sa.Column("score_run_id", sa.Integer(), nullable=True),
+        schema=schema,
+    )
+    op.create_index(
+        op.f("ix_legislator_score_score_run_id"),
+        "legislator_score",
+        ["score_run_id"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_foreign_key(
+        op.f("fk_legislator_score_score_run_id_score_run"),
+        "legislator_score",
+        "score_run",
+        ["score_run_id"],
+        ["id"],
+        source_schema=schema,
+        referent_schema=schema,
+        ondelete="CASCADE",
+    )
+    op.add_column(
+        "bill_text",
+        sa.Column("source_datetime_raw", sa.String(), nullable=True),
+        schema=schema,
+    )
+    op.add_column(
+        "bill_text", sa.Column("text_url_xml", sa.String(), nullable=True), schema=schema
+    )
+    op.add_column(
+        "bill_text", sa.Column("text_url_pdf", sa.String(), nullable=True), schema=schema
+    )
+    op.add_column(
+        "bill_text",
+        sa.Column("text_url_html", sa.String(), nullable=True),
+        schema=schema,
+    )
+    op.add_column(
+        "bill_text",
+        sa.Column("source_artifact_id", sa.Integer(), nullable=True),
+        schema=schema,
+    )
+    op.create_foreign_key(
+        op.f("fk_bill_text_source_artifact_id_source_artifact"),
+        "bill_text",
+        "source_artifact",
+        ["source_artifact_id"],
+        ["id"],
+        source_schema=schema,
+        referent_schema=schema,
+        ondelete="SET NULL",
+    )
+    op.create_table(
+        "bill_action",
+        sa.Column("bill_id", sa.Integer(), nullable=False),
+        sa.Column("sequence", sa.Integer(), nullable=False),
+        sa.Column("action_date", sa.Date(), nullable=False),
+        sa.Column("action_time", sa.String(), nullable=True),
+        sa.Column("action_text", sa.String(), nullable=False),
+        sa.Column("action_type", sa.String(), nullable=True),
+        sa.Column("action_code", sa.String(), nullable=True),
+        sa.Column("source_system_code", sa.String(), nullable=True),
+        sa.Column("source_system_name", sa.String(), nullable=True),
+        sa.Column("source_artifact_id", sa.Integer(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["bill_id"],
+            [f"{schema}.bill.id"],
+            name=op.f("fk_bill_action_bill_id_bill"),
+            ondelete="CASCADE",
+        ),
+        sa.ForeignKeyConstraint(
+            ["source_artifact_id"],
+            [f"{schema}.source_artifact.id"],
+            name=op.f("fk_bill_action_source_artifact_id_source_artifact"),
+            ondelete="SET NULL",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_bill_action")),
+        sa.UniqueConstraint("bill_id", "sequence", name="uq_bill_action_bill_id_sequence"),
+        schema=schema,
+    )
+    op.create_table(
+        "bill_action_recorded_vote",
+        sa.Column("bill_action_id", sa.Integer(), nullable=False),
+        sa.Column("congress", sa.Integer(), nullable=False),
+        sa.Column("chamber", sa.String(), nullable=False),
+        sa.Column("session_number", sa.Integer(), nullable=False),
+        sa.Column("roll_number", sa.Integer(), nullable=False),
+        sa.Column("vote_datetime", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("vote_url", sa.String(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["bill_action_id"],
+            [f"{schema}.bill_action.id"],
+            name=op.f("fk_bill_action_recorded_vote_bill_action_id_bill_action"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_bill_action_recorded_vote")),
+        sa.UniqueConstraint(
+            "bill_action_id",
+            "congress",
+            "chamber",
+            "session_number",
+            "roll_number",
+            name="uq_bill_action_recorded_vote_match_key",
+        ),
+        schema=schema,
+    )
+    op.create_table(
+        "bill_relation",
+        sa.Column("bill_id", sa.Integer(), nullable=False),
+        sa.Column("related_bill_id", sa.Integer(), nullable=False),
+        sa.Column("relationship_type", sa.String(), nullable=False),
+        sa.Column("identified_by", sa.String(), nullable=True),
+        sa.Column("latest_action_date", sa.Date(), nullable=True),
+        sa.Column("latest_action_text", sa.String(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["bill_id"],
+            [f"{schema}.bill.id"],
+            name=op.f("fk_bill_relation_bill_id_bill"),
+            ondelete="CASCADE",
+        ),
+        sa.ForeignKeyConstraint(
+            ["related_bill_id"],
+            [f"{schema}.bill.id"],
+            name=op.f("fk_bill_relation_related_bill_id_bill"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_bill_relation")),
+        schema=schema,
+    )
+    op.create_index(
+        "ix_bill_relation_bill_id",
+        "bill_relation",
+        ["bill_id"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_index(
+        "ix_bill_relation_related_bill_id",
+        "bill_relation",
+        ["related_bill_id"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_table(
+        "amendment",
+        sa.Column("congress", sa.Integer(), nullable=False),
+        sa.Column("amendment_type", sa.String(), nullable=False),
+        sa.Column("number", sa.Integer(), nullable=False),
+        sa.Column("chamber", sa.String(), nullable=False),
+        sa.Column("description", sa.String(), nullable=True),
+        sa.Column("purpose", sa.String(), nullable=True),
+        sa.Column("amended_bill_id", sa.Integer(), nullable=True),
+        sa.Column("amended_amendment_id", sa.Integer(), nullable=True),
+        sa.Column("source_path", sa.String(), nullable=True),
+        sa.Column("source_artifact_id", sa.Integer(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["amended_amendment_id"],
+            [f"{schema}.amendment.id"],
+            name=op.f("fk_amendment_amended_amendment_id_amendment"),
+            ondelete="SET NULL",
+        ),
+        sa.ForeignKeyConstraint(
+            ["amended_bill_id"],
+            [f"{schema}.bill.id"],
+            name=op.f("fk_amendment_amended_bill_id_bill"),
+            ondelete="SET NULL",
+        ),
+        sa.ForeignKeyConstraint(
+            ["source_artifact_id"],
+            [f"{schema}.source_artifact.id"],
+            name=op.f("fk_amendment_source_artifact_id_source_artifact"),
+            ondelete="SET NULL",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_amendment")),
+        sa.UniqueConstraint(
+            "congress",
+            "amendment_type",
+            "number",
+            name="uq_amendment_congress_type_number",
+        ),
+        schema=schema,
+    )
+    op.create_table(
+        "amendment_action",
+        sa.Column("amendment_id", sa.Integer(), nullable=False),
+        sa.Column("sequence", sa.Integer(), nullable=False),
+        sa.Column("action_date", sa.Date(), nullable=False),
+        sa.Column("action_time", sa.String(), nullable=True),
+        sa.Column("action_text", sa.String(), nullable=False),
+        sa.Column("action_type", sa.String(), nullable=True),
+        sa.Column("action_code", sa.String(), nullable=True),
+        sa.Column("source_system_code", sa.String(), nullable=True),
+        sa.Column("source_system_name", sa.String(), nullable=True),
+        sa.Column("source_artifact_id", sa.Integer(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["amendment_id"],
+            [f"{schema}.amendment.id"],
+            name=op.f("fk_amendment_action_amendment_id_amendment"),
+            ondelete="CASCADE",
+        ),
+        sa.ForeignKeyConstraint(
+            ["source_artifact_id"],
+            [f"{schema}.source_artifact.id"],
+            name=op.f("fk_amendment_action_source_artifact_id_source_artifact"),
+            ondelete="SET NULL",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_amendment_action")),
+        sa.UniqueConstraint(
+            "amendment_id",
+            "sequence",
+            name="uq_amendment_action_amendment_id_sequence",
+        ),
+        schema=schema,
+    )
+    op.create_table(
+        "amendment_action_recorded_vote",
+        sa.Column("amendment_action_id", sa.Integer(), nullable=False),
+        sa.Column("congress", sa.Integer(), nullable=False),
+        sa.Column("chamber", sa.String(), nullable=False),
+        sa.Column("session_number", sa.Integer(), nullable=False),
+        sa.Column("roll_number", sa.Integer(), nullable=False),
+        sa.Column("vote_datetime", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("vote_url", sa.String(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["amendment_action_id"],
+            [f"{schema}.amendment_action.id"],
+            name=op.f(
+                "fk_amendment_action_recorded_vote_amendment_action_id_amendment_action"
+            ),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_amendment_action_recorded_vote")),
+        sa.UniqueConstraint(
+            "amendment_action_id",
+            "congress",
+            "chamber",
+            "session_number",
+            "roll_number",
+            name="uq_amendment_action_recorded_vote_match_key",
+        ),
+        schema=schema,
+    )
+
+    op.drop_constraint(
+        "uq_vote_congress_chamber_session_number",
+        "vote",
+        schema=schema,
+        type_="unique",
+    )
+    op.alter_column("vote", "session", new_column_name="session_year", schema=schema)
+    op.alter_column("vote", "number", new_column_name="roll_number", schema=schema)
+    op.add_column("vote", sa.Column("session_number", sa.Integer(), nullable=True), schema=schema)
+    op.add_column(
+        "vote",
+        sa.Column("vote_datetime", sa.DateTime(timezone=True), nullable=True),
+        schema=schema,
+    )
+    op.add_column(
+        "vote", sa.Column("raw_vote_source_url", sa.String(), nullable=True), schema=schema
+    )
+    op.add_column(
+        "vote",
+        sa.Column("raw_bill_ref", postgresql.JSONB(astext_type=sa.Text()), nullable=True),
+        schema=schema,
+    )
+    op.add_column(
+        "vote",
+        sa.Column(
+            "raw_amendment_ref",
+            postgresql.JSONB(astext_type=sa.Text()),
+            nullable=True,
+        ),
+        schema=schema,
+    )
+    op.add_column(
+        "vote",
+        sa.Column(
+            "raw_nomination_ref",
+            postgresql.JSONB(astext_type=sa.Text()),
+            nullable=True,
+        ),
+        schema=schema,
+    )
+    op.add_column(
+        "vote",
+        sa.Column(
+            "raw_treaty_ref",
+            postgresql.JSONB(astext_type=sa.Text()),
+            nullable=True,
+        ),
+        schema=schema,
+    )
+    op.add_column(
+        "vote",
+        sa.Column("raw_vote_source_artifact_id", sa.Integer(), nullable=True),
+        schema=schema,
+    )
+    op.create_foreign_key(
+        op.f("fk_vote_raw_vote_source_artifact_id_source_artifact"),
+        "vote",
+        "source_artifact",
+        ["raw_vote_source_artifact_id"],
+        ["id"],
+        source_schema=schema,
+        referent_schema=schema,
+        ondelete="SET NULL",
+    )
+    op.execute(
+        sa.text(
+            f"""
+            UPDATE {schema}.vote
+            SET session_number = session_year - (((congress - 1) * 2) + 1789) + 1
+            """
+        )
+    )
+    op.alter_column("vote", "session_number", nullable=False, schema=schema)
+    op.create_unique_constraint(
+        "uq_vote_congress_chamber_session_number_roll_number",
+        "vote",
+        ["congress", "chamber", "session_number", "roll_number"],
+        schema=schema,
+    )
+    op.drop_constraint(
+        op.f("fk_vote_bill_id_bill"),
+        "vote",
+        schema=schema,
+        type_="foreignkey",
+    )
+    op.drop_constraint(
+        "fk_vote_bill_text_id_bill_text",
+        "vote",
+        schema=schema,
+        type_="foreignkey",
+    )
+    op.drop_index("ix_vote_bill_text_id", table_name="vote", schema=schema)
+    op.drop_column("vote", "bill_id", schema=schema)
+    op.drop_column("vote", "bill_text_id", schema=schema)
+
+    op.create_table(
+        "vote_action_match",
+        sa.Column("vote_id", sa.Integer(), nullable=False),
+        sa.Column("action_scope", sa.String(), nullable=False),
+        sa.Column("bill_action_id", sa.Integer(), nullable=True),
+        sa.Column("amendment_action_id", sa.Integer(), nullable=True),
+        sa.Column("is_selected", sa.Boolean(), nullable=False),
+        sa.Column("match_method", sa.String(), nullable=False),
+        sa.Column("match_reason", sa.String(), nullable=True),
+        sa.Column("match_confidence", sa.String(), nullable=False),
+        sa.Column(
+            "created_at",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["amendment_action_id"],
+            [f"{schema}.amendment_action.id"],
+            name=op.f("fk_vote_action_match_amendment_action_id_amendment_action"),
+            ondelete="CASCADE",
+        ),
+        sa.ForeignKeyConstraint(
+            ["bill_action_id"],
+            [f"{schema}.bill_action.id"],
+            name=op.f("fk_vote_action_match_bill_action_id_bill_action"),
+            ondelete="CASCADE",
+        ),
+        sa.ForeignKeyConstraint(
+            ["vote_id"],
+            [f"{schema}.vote.id"],
+            name=op.f("fk_vote_action_match_vote_id_vote"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_vote_action_match")),
+        schema=schema,
+    )
+    op.create_index(
+        "ix_vote_action_match_vote_id",
+        "vote_action_match",
+        ["vote_id"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_index(
+        "uq_vote_action_match_selected_vote_id",
+        "vote_action_match",
+        ["vote_id"],
+        unique=True,
+        schema=schema,
+        postgresql_where=sa.text("is_selected"),
+    )
+    op.create_table(
+        "vote_classification",
+        sa.Column("vote_id", sa.Integer(), nullable=False),
+        sa.Column("subject_type", sa.String(), nullable=False),
+        sa.Column("measure_type", sa.String(), nullable=True),
+        sa.Column("measure_subtype", sa.String(), nullable=True),
+        sa.Column("measure_function", sa.String(), nullable=True),
+        sa.Column("vote_relationship", sa.String(), nullable=False),
+        sa.Column("is_legislation_related", sa.Boolean(), nullable=False),
+        sa.Column("is_direct_vote_on_legislative_text", sa.Boolean(), nullable=False),
+        sa.Column("is_substantive_policy_vote", sa.Boolean(), nullable=False),
+        sa.Column("is_lawmaking_vehicle", sa.Boolean(), nullable=False),
+        sa.Column("is_special_rule", sa.Boolean(), nullable=False),
+        sa.Column("classification_method", sa.String(), nullable=False),
+        sa.Column("classification_confidence_reason", sa.String(), nullable=True),
+        sa.Column("confidence", sa.String(), nullable=False),
+        sa.Column("classified_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("classification_version", sa.String(), nullable=False),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["vote_id"],
+            [f"{schema}.vote.id"],
+            name=op.f("fk_vote_classification_vote_id_vote"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_vote_classification")),
+        sa.UniqueConstraint("vote_id", name=op.f("uq_vote_classification_vote_id")),
+        schema=schema,
+    )
+    op.create_index(
+        "ix_vote_classification_subject_type",
+        "vote_classification",
+        ["subject_type"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_table(
+        "vote_measure_link",
+        sa.Column("vote_id", sa.Integer(), nullable=False),
+        sa.Column("measure_id", sa.Integer(), nullable=False),
+        sa.Column("role", sa.String(), nullable=False),
+        sa.Column("source", sa.String(), nullable=False),
+        sa.Column("confidence", sa.String(), nullable=False),
+        sa.Column("notes", sa.String(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["measure_id"],
+            [f"{schema}.bill.id"],
+            name=op.f("fk_vote_measure_link_measure_id_bill"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_vote_measure_link")),
+        schema=schema,
+    )
+    op.create_index(
+        "ix_vote_measure_link_vote_id",
+        "vote_measure_link",
+        ["vote_id"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_foreign_key(
+        op.f("fk_vote_measure_link_vote_id_vote"),
+        "vote_measure_link",
+        "vote",
+        ["vote_id"],
+        ["id"],
+        source_schema=schema,
+        referent_schema=schema,
+        ondelete="CASCADE",
+    )
+    op.create_table(
+        "vote_text_target",
+        sa.Column("vote_id", sa.Integer(), nullable=False),
+        sa.Column("text_target_type", sa.String(), nullable=False),
+        sa.Column("voted_text_version_id", sa.Integer(), nullable=True),
+        sa.Column("resulting_text_version_id", sa.Integer(), nullable=True),
+        sa.Column("related_amendment_id", sa.Integer(), nullable=True),
+        sa.Column("text_target_basis", sa.String(), nullable=False),
+        sa.Column("text_resolution_method", sa.String(), nullable=False),
+        sa.Column("text_resolution_confidence_reason", sa.String(), nullable=True),
+        sa.Column("confidence", sa.String(), nullable=False),
+        sa.Column("notes", sa.String(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["related_amendment_id"],
+            [f"{schema}.amendment.id"],
+            name=op.f("fk_vote_text_target_related_amendment_id_amendment"),
+            ondelete="SET NULL",
+        ),
+        sa.ForeignKeyConstraint(
+            ["resulting_text_version_id"],
+            [f"{schema}.bill_text.id"],
+            name=op.f("fk_vote_text_target_resulting_text_version_id_bill_text"),
+            ondelete="SET NULL",
+        ),
+        sa.ForeignKeyConstraint(
+            ["vote_id"],
+            [f"{schema}.vote.id"],
+            name=op.f("fk_vote_text_target_vote_id_vote"),
+            ondelete="CASCADE",
+        ),
+        sa.ForeignKeyConstraint(
+            ["voted_text_version_id"],
+            [f"{schema}.bill_text.id"],
+            name=op.f("fk_vote_text_target_voted_text_version_id_bill_text"),
+            ondelete="SET NULL",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_vote_text_target")),
+        sa.UniqueConstraint("vote_id", name=op.f("uq_vote_text_target_vote_id")),
+        schema=schema,
+    )
+    op.create_table(
+        "vote_position_meaning",
+        sa.Column("vote_id", sa.Integer(), nullable=False),
+        sa.Column("yea_effect", sa.String(), nullable=False),
+        sa.Column("nay_effect", sa.String(), nullable=False),
+        sa.Column("present_effect", sa.String(), nullable=False),
+        sa.Column("polarity_confidence", sa.String(), nullable=False),
+        sa.Column("polarity_method", sa.String(), nullable=False),
+        sa.Column("notes", sa.String(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["vote_id"],
+            [f"{schema}.vote.id"],
+            name=op.f("fk_vote_position_meaning_vote_id_vote"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_vote_position_meaning")),
+        sa.UniqueConstraint("vote_id", name=op.f("uq_vote_position_meaning_vote_id")),
+        schema=schema,
+    )
+    op.create_table(
+        "vote_context_audit",
+        sa.Column("vote_id", sa.Integer(), nullable=False),
+        sa.Column("step", sa.String(), nullable=False),
+        sa.Column("message", sa.String(), nullable=False),
+        sa.Column("severity", sa.String(), nullable=False),
+        sa.Column("source_path", sa.String(), nullable=True),
+        sa.Column(
+            "created_at",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.ForeignKeyConstraint(
+            ["vote_id"],
+            [f"{schema}.vote.id"],
+            name=op.f("fk_vote_context_audit_vote_id_vote"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_vote_context_audit")),
+        schema=schema,
+    )
+    op.create_index(
+        "ix_vote_context_audit_vote_id",
+        "vote_context_audit",
+        ["vote_id"],
+        unique=False,
+        schema=schema,
+    )
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    raise NotImplementedError("Downgrade is not supported for canonical vote context v3.")

alembic/data_science_dev/versions/2026_04_26-add_supporting_indexes_a7b91c4e2d30.py

@@ -0,0 +1,203 @@
+"""add supporting indexes for congress vote context and scoring.
+
+Revision ID: a7b91c4e2d30
+Revises: 1f8c0e7a9d21
+Create Date: 2026-04-26 00:00:00.000000
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+
+from alembic import op
+from pipelines.orm import DataScienceDevBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+
+revision: str = "a7b91c4e2d30"
+down_revision: str | None = "1f8c0e7a9d21"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+schema = DataScienceDevBase.schema_name
+
+
+def _dedupe_source_artifacts() -> None:
+    op.execute(
+        sa.text(
+            f"""
+            CREATE TEMP TABLE tmp_source_artifact_dups AS
+            WITH ranked AS (
+                SELECT
+                    id,
+                    first_value(id) OVER (
+                        PARTITION BY ingest_run_id, local_path, sha256
+                        ORDER BY id
+                    ) AS keep_id,
+                    row_number() OVER (
+                        PARTITION BY ingest_run_id, local_path, sha256
+                        ORDER BY id
+                    ) AS rn
+                FROM {schema}.source_artifact
+                WHERE ingest_run_id IS NOT NULL
+            )
+            SELECT id, keep_id
+            FROM ranked
+            WHERE rn > 1
+            """
+        )
+    )
+    for table_name, column_name in (
+        ("bill_text", "source_artifact_id"),
+        ("bill_action", "source_artifact_id"),
+        ("amendment", "source_artifact_id"),
+        ("amendment_action", "source_artifact_id"),
+        ("vote", "raw_vote_source_artifact_id"),
+    ):
+        op.execute(
+            sa.text(
+                f"""
+                UPDATE {schema}.{table_name} AS target
+                SET {column_name} = d.keep_id
+                FROM tmp_source_artifact_dups AS d
+                WHERE target.{column_name} = d.id
+                """
+            )
+        )
+    op.execute(
+        sa.text(
+            f"""
+            DELETE FROM {schema}.source_artifact AS source_artifact
+            USING tmp_source_artifact_dups AS d
+            WHERE source_artifact.id = d.id
+            """
+        )
+    )
+    op.execute(sa.text("DROP TABLE tmp_source_artifact_dups"))
+
+
+def upgrade() -> None:
+    """Upgrade."""
+    _dedupe_source_artifacts()
+
+    op.create_index(
+        "uq_source_artifact_ingest_identity",
+        "source_artifact",
+        ["ingest_run_id", "local_path", "sha256"],
+        unique=True,
+        schema=schema,
+    )
+    op.create_index(
+        "ix_bill_action_recorded_vote_match_tuple",
+        "bill_action_recorded_vote",
+        ["congress", "chamber", "session_number", "roll_number"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_index(
+        "ix_amendment_action_recorded_vote_match_tuple",
+        "amendment_action_recorded_vote",
+        ["congress", "chamber", "session_number", "roll_number"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_index(
+        "ix_vote_classification_eligible_vote_id",
+        "vote_classification",
+        ["vote_id"],
+        unique=False,
+        schema=schema,
+        postgresql_where=sa.text(
+            "subject_type = 'measure' "
+            "AND vote_relationship = 'direct_text_vote' "
+            "AND is_direct_vote_on_legislative_text "
+            "AND is_substantive_policy_vote "
+            "AND NOT is_special_rule"
+        ),
+    )
+    op.create_index(
+        "ix_vote_measure_link_vote_id_role",
+        "vote_measure_link",
+        ["vote_id", "role"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_index(
+        "ix_vote_measure_link_measure_id_role",
+        "vote_measure_link",
+        ["measure_id", "role"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_index(
+        "ix_vote_text_target_voted_text_version_id",
+        "vote_text_target",
+        ["voted_text_version_id"],
+        unique=False,
+        schema=schema,
+        postgresql_where=sa.text("voted_text_version_id IS NOT NULL"),
+    )
+    op.create_index(
+        "ix_vote_context_audit_severity_vote_id",
+        "vote_context_audit",
+        ["severity", "vote_id"],
+        unique=False,
+        schema=schema,
+    )
+    op.create_index(
+        "ix_legislator_current_chamber",
+        "legislator",
+        ["current_chamber"],
+        unique=False,
+        schema=schema,
+    )
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    op.drop_index("ix_legislator_current_chamber", table_name="legislator", schema=schema)
+    op.drop_index(
+        "ix_vote_context_audit_severity_vote_id",
+        table_name="vote_context_audit",
+        schema=schema,
+    )
+    op.drop_index(
+        "ix_vote_text_target_voted_text_version_id",
+        table_name="vote_text_target",
+        schema=schema,
+    )
+    op.drop_index(
+        "ix_vote_measure_link_measure_id_role",
+        table_name="vote_measure_link",
+        schema=schema,
+    )
+    op.drop_index(
+        "ix_vote_measure_link_vote_id_role",
+        table_name="vote_measure_link",
+        schema=schema,
+    )
+    op.drop_index(
+        "ix_vote_classification_eligible_vote_id",
+        table_name="vote_classification",
+        schema=schema,
+    )
+    op.drop_index(
+        "ix_amendment_action_recorded_vote_match_tuple",
+        table_name="amendment_action_recorded_vote",
+        schema=schema,
+    )
+    op.drop_index(
+        "ix_bill_action_recorded_vote_match_tuple",
+        table_name="bill_action_recorded_vote",
+        schema=schema,
+    )
+    op.drop_index(
+        "uq_source_artifact_ingest_identity",
+        table_name="source_artifact",
+        schema=schema,
+    )

alembic/data_science_dev/versions/2026_04_26-adding_posttopic_032e26bbfcb5.py

@@ -0,0 +1,66 @@
+"""adding PostTopic.
+
+Revision ID: 032e26bbfcb5
+Revises: a7b91c4e2d30
+Create Date: 2026-04-26 14:34:35.688341
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+
+from alembic import op
+from pipelines.orm import DataScienceDevBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "032e26bbfcb5"
+down_revision: str | None = "a7b91c4e2d30"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+schema = DataScienceDevBase.schema_name
+
+
+def upgrade() -> None:
+    """Upgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        "post_topic",
+        sa.Column("post_id", sa.BigInteger(), nullable=False),
+        sa.Column("topic_id", sa.SmallInteger(), nullable=False),
+        sa.Column("topic_label", sa.String(), nullable=True),
+        sa.Column("model_version", sa.String(), nullable=True),
+        sa.Column("id", sa.Integer(), nullable=False),
+        sa.Column(
+            "created",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("now()"),
+            nullable=False,
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_post_topic")),
+        schema=schema,
+    )
+    op.create_index(
+        "ix_post_topic_post_id", "post_topic", ["post_id"], unique=False, schema=schema
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_index("ix_post_topic_post_id", table_name="post_topic", schema=schema)
+    op.drop_table("post_topic", schema=schema)
+    # ### end Alembic commands ###

alembic/data_science_dev/versions/2026_04_26-pg_vector_b9360b0b0c22.py

@@ -0,0 +1,35 @@
+"""adding PG Vector.
+
+Revision ID: b9360b0b0c22
+Revises: 032e26bbfcb5
+Create Date: 2026-04-26 14:35:08.770128
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from pipelines.orm import DataScienceDevBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "b9360b0b0c22"
+down_revision: str | None = "032e26bbfcb5"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+schema = DataScienceDevBase.schema_name
+
+
+def upgrade() -> None:
+    """Upgrade."""
+    op.execute("CREATE EXTENSION IF NOT EXISTS vector")
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    op.execute("DROP EXTENSION IF EXISTS vector")

docker-compose.yml

@@ -0,0 +1,52 @@
+services:
+  db:
+    image: postgres:16
+    profiles: ["localdb"]
+    restart: unless-stopped
+    environment:
+      POSTGRES_DB: ${DATA_SCIENCE_DEV_DB:-nornsight}
+      POSTGRES_USER: ${DATA_SCIENCE_DEV_USER:-nornsight}
+      POSTGRES_PASSWORD: ${DATA_SCIENCE_DEV_PASSWORD:-nornsight}
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test:
+        [
+          "CMD-SHELL",
+          "pg_isready -U ${DATA_SCIENCE_DEV_USER:-nornsight} -d ${DATA_SCIENCE_DEV_DB:-nornsight}",
+        ]
+      interval: 5s
+      timeout: 5s
+      retries: 20
+      start_period: 5s
+    ports:
+      - "${POSTGRES_PUBLISHED_PORT:-5432}:5432"
+
+  web:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    restart: unless-stopped
+    dns:
+      - ${WEB_DNS_1:-1.1.1.1}
+      - ${WEB_DNS_2:-8.8.8.8}
+    environment:
+      DATA_SCIENCE_DEV_DB: ${DATA_SCIENCE_DEV_DB}
+      DATA_SCIENCE_DEV_HOST: ${DATA_SCIENCE_DEV_HOST}
+      DATA_SCIENCE_DEV_PORT: ${DATA_SCIENCE_DEV_PORT}
+      DATA_SCIENCE_DEV_USER: ${DATA_SCIENCE_DEV_USER}
+      DATA_SCIENCE_DEV_PASSWORD: ${DATA_SCIENCE_DEV_PASSWORD}
+      WORKOS_API_KEY: ${WORKOS_API_KEY}
+      WORKOS_CLIENT_ID: ${WORKOS_CLIENT_ID}
+      WORKOS_COOKIE_PASSWORD: ${WORKOS_COOKIE_PASSWORD}
+      WORKOS_ORGANIZATION_ID: ${WORKOS_ORGANIZATION_ID}
+      WORKOS_REDIRECT_URI: ${WORKOS_REDIRECT_URI:-http://localhost:8000/callback}
+      WORKOS_LOGOUT_REDIRECT_URI: ${WORKOS_LOGOUT_REDIRECT_URI:-http://localhost:8000/}
+      WORKOS_SESSION_COOKIE_NAME: ${WORKOS_SESSION_COOKIE_NAME:-workos_session}
+      UVICORN_HOST: 0.0.0.0
+      UVICORN_PORT: 8000
+    ports:
+      - "${WEB_PUBLISHED_PORT:-8000}:8000"
+
+volumes:
+  postgres_data:

docker/web-entrypoint.sh

@@ -0,0 +1,33 @@
+#!/usr/bin/env sh
+set -eu
+
+python - <<'PY'
+import os
+import time
+
+import psycopg
+
+db = os.environ["DATA_SCIENCE_DEV_DB"]
+host = os.environ["DATA_SCIENCE_DEV_HOST"]
+port = os.environ["DATA_SCIENCE_DEV_PORT"]
+user = os.environ["DATA_SCIENCE_DEV_USER"]
+password = os.environ.get("DATA_SCIENCE_DEV_PASSWORD", "")
+
+dsn = f"dbname={db} host={host} port={port} user={user} password={password}"
+
+for attempt in range(60):
+    try:
+        with psycopg.connect(dsn) as conn:
+            with conn.cursor() as cur:
+                cur.execute("CREATE SCHEMA IF NOT EXISTS main")
+            conn.commit()
+        break
+    except psycopg.OperationalError:
+        if attempt == 59:
+            raise
+        time.sleep(1)
+PY
+
+python /app/database_cli.py data_science_dev upgrade head
+
+exec uvicorn pipelines.web.main:app --host "${UVICORN_HOST:-0.0.0.0}" --port "${UVICORN_PORT:-8000}"

pipelines/bert_topic/infer.py

@@ -0,0 +1,116 @@
+"""Nornsight — BERTopic POC Inference Script.
+
+Loads the trained model and labels a small batch of posts,
+writing results to main.post_topic for inspection.
+
+POC: processes a single batch of 1k posts to validate the pipeline end-to-end.
+"""
+
+from __future__ import annotations
+
+import logging
+import time
+from collections import Counter
+from pathlib import Path
+
+from bertopic import BERTopic
+from sqlalchemy import Engine, func, insert, select
+from sqlalchemy.orm import Session
+
+from pipelines.config import BertTopicInferConfig, get_bertopic_infer_config
+from pipelines.orm.common import get_postgres_engine
+from pipelines.orm.data_science_dev.posts import PostTopic, Posts
+from pipelines.orm.data_science_dev.posts.lang_filters import ENGLISH_LANGS
+from pipelines.pipelines.common import configure_logger
+
+logger = logging.getLogger(__name__)
+
+
+def main() -> None:
+    """Run BERTopic inference against a sample of posts."""
+    configure_logger()
+
+    config = get_bertopic_infer_config()
+    run_inference(config)
+    logger.info(
+        "POC inference complete. Check main.post_topic in DBeaver to inspect results."
+    )
+
+
+def run_inference(config: BertTopicInferConfig) -> None:
+    model_save_path = Path(config.model_save_path)
+
+    logger.info(f"Loading BERTopic model from {model_save_path}")
+    topic_model = BERTopic.load(str(model_save_path))
+
+    topic_info = topic_model.get_topic_info()
+    label_map: dict[int, str] = dict(zip(topic_info["Topic"], topic_info["Name"]))
+    logger.info(f"Model loaded with {len(label_map)} topics")
+
+    engine = get_postgres_engine(name="DATA_SCIENCE_DEV")
+
+    post_ids, texts = get_post_ids_and_test(engine, config)
+
+    logger.info(f"Fetched {len(texts)} posts")
+
+    logger.info("Running BERTopic transform")
+    start = time.perf_counter()
+    topics, _probabilities = topic_model.transform(texts)
+    elapsed = time.perf_counter() - start
+    logger.info(f"Transform complete in {elapsed:.1f}s")
+
+    # Write results to main.post_topic
+    records = [
+        {
+            "post_id": pid,
+            "topic_id": int(topic_id),
+            "topic_label": label_map.get(int(topic_id), "unknown"),
+            "model_version": config.model_version,
+        }
+        for pid, topic_id in zip(post_ids, topics)
+    ]
+    with Session(engine) as session:
+        session.execute(insert(PostTopic), records)
+        session.commit()
+
+    count_topics(records)
+    logger.info(f"Wrote {len(records)} topic labels to main.post_topic")
+
+
+def get_post_ids_and_test(
+    engine: Engine,
+    config: BertTopicInferConfig,
+) -> None | tuple[list[int], list[str]]:
+    with Session(engine) as session:
+        logger.info(f"Fetching {config.poc_batch_size} posts for inference")
+        # Pull a fresh batch for inference — distinct from training sample
+        # using a fixed seed offset so we're not re-labeling training posts
+        stmt = select(Posts).where(
+            Posts.text.is_not(None),
+            Posts.langs.in_(ENGLISH_LANGS),
+            func.length(Posts.text) > config.min_text_length,
+        )
+        if config.poc_batch_size > 0:
+            stmt = stmt.limit(config.poc_batch_size)
+
+        posts = session.scalars(stmt).all()
+        if not posts:
+            logger.warning("No posts were selected for inference")
+            return [], []
+
+        post_ids = [post.post_id for post in posts]
+        texts = [post.text.strip() for post in posts]
+
+    return post_ids, texts
+
+
+def count_topics(records: list[dict]) -> None:
+    topic_counts = Counter(record.get("topic_label", "unknown") for record in records)
+
+    logger.info("Topic distribution in this batch:")
+    for label, count in topic_counts.most_common(10):
+        logger.info("  %s: %d", label, count)
+
+
+if __name__ == "__main__":
+    main()

pipelines/bert_topic/train.py

@@ -0,0 +1,119 @@
+"""Nornsight — BERTopic POC Training Script.
+
+Pulls a small stratified sample (~11.5k posts) from main.posts,
+trains BERTopic with MiniBatchKMeans on Jeeves, and saves the model locally.
+
+POC sample rate: random() < 0.00005 (~0.005% of 230M = ~11.5k posts)
+Full training rate will be: random() < 0.005 (~1.08M posts)
+"""
+
+from __future__ import annotations
+
+import logging
+import time
+from pathlib import Path
+
+from bertopic import BERTopic
+from sklearn.cluster import MiniBatchKMeans
+from sqlalchemy import func, select
+from sqlalchemy.orm import Session
+
+from pipelines.config import BertTopicTrainConfig, get_bertopic_train_config
+from pipelines.orm.common import get_postgres_engine
+from pipelines.orm.data_science_dev.posts import Posts
+from pipelines.orm.data_science_dev.posts.lang_filters import ENGLISH_LANGS
+from pipelines.pipelines.common import configure_logger
+
+logger = logging.getLogger(__name__)
+
+
+def main() -> None:
+    """Train and persist the BERTopic model."""
+    configure_logger()
+
+    config = get_bertopic_train_config()
+    docs = load_sample(config)
+    if not docs:
+        logger.warning("No training documents were selected")
+        return
+
+    train(docs, config)
+    logger.info(f"Done. Model saved as version {config.model_version}")
+    logger.info("Next: run infer.py to label a sample of posts in the database")
+
+
+def load_sample(config: BertTopicTrainConfig) -> list[str]:
+    logger.info("Connecting to PostgreSQL via SQLAlchemy")
+    engine = get_postgres_engine(name="DATA_SCIENCE_DEV")
+
+    logger.info(f"Pulling sample from main.posts (sample_rate={config.sample_rate})")
+    start = time.perf_counter()
+
+    with Session(engine) as session:
+        texts = session.scalars(
+            select(Posts.text).where(
+                Posts.text.is_not(None),
+                Posts.langs.in_(ENGLISH_LANGS),
+                func.length(Posts.text) > config.min_text_length,
+                func.random() < config.sample_rate,
+            )
+        ).all()
+
+    elapsed = time.perf_counter() - start
+    logger.info(f"Fetched {len(texts)} rows in {elapsed:.1f}s")
+
+    # Basic cleaning — strip whitespace and deduplicate
+    docs = list({text.strip() for text in texts})
+    logger.info(f"After cleaning and dedup: {len(docs)} posts")
+
+    return docs
+
+
+def train(docs: list[str], config: BertTopicTrainConfig) -> None:
+    logger.info(
+        f"Initialising BERTopic with MiniBatchKMeans (n_topics={config.n_topics})"
+    )
+
+    cluster_model = MiniBatchKMeans(
+        n_clusters=config.n_topics,
+        random_state=42,
+        batch_size=1024,
+        n_init=3,
+        verbose=1,
+    )
+
+    topic_model = BERTopic(
+        hdbscan_model=cluster_model,
+        language="english",
+        calculate_probabilities=False,  # saves memory
+        verbose=True,
+    )
+
+    logger.info(f"Starting fit_transform on {len(docs)} posts (CPU)")
+    start = time.perf_counter()
+
+    topic_model.fit_transform(docs)
+
+    elapsed = time.perf_counter() - start
+    logger.info(f"Training complete in {elapsed:.1f}s ({elapsed / 60:.1f} min)")
+
+    # Log topic summary for quick inspection
+    topic_info = topic_model.get_topic_info()
+    logger.info(f"Topics found: {len(topic_info)}")
+    logger.info(f"\n{topic_info.to_string()}")
+
+    model_save_path = Path(config.model_save_path)
+    model_save_path.mkdir(parents=True, exist_ok=True)
+    logger.info(f"Saving model to {model_save_path}")
+
+    topic_model.save(
+        str(model_save_path),
+        serialization="safetensors",
+        save_ctfidf=True,
+        save_embedding_model=True,
+    )
+    logger.info("Model saved")
+
+
+if __name__ == "__main__":
+    main()

pipelines/common.py

@@ -5,10 +5,8 @@ from __future__ import annotations
 import logging
 import sys
 from datetime import UTC, datetime
-from os import getenv
 from subprocess import PIPE, Popen
 
-from apprise import Apprise
 
 logger = logging.getLogger(__name__)
 
@@ -47,25 +45,6 @@ def bash_wrapper(command: str) -> tuple[str, int]:
     return output.decode(), process.returncode
 
 
-def signal_alert(body: str, title: str = "") -> None:
-    """Send a signal alert.
-
-    Args:
-        body (str): The body of the alert.
-        title (str, optional): The title of the alert. Defaults to "".
-    """
-    apprise_client = Apprise()
-
-    from_phone = getenv("SIGNAL_ALERT_FROM_PHONE")
-    to_phone = getenv("SIGNAL_ALERT_TO_PHONE")
-    if not from_phone or not to_phone:
-        logger.info("SIGNAL_ALERT_FROM_PHONE or SIGNAL_ALERT_TO_PHONE not set")
-        return
-
-    apprise_client.add(f"signal://localhost:8989/{from_phone}/{to_phone}")
-
-    apprise_client.notify(title=title, body=body)
-
 
 def utcnow() -> datetime:
     """Get the current UTC time."""

pipelines/config.py

@@ -1,6 +1,8 @@
 from __future__ import annotations
 
 from dataclasses import dataclass
+from os import getenv
+from datetime import date
 from pathlib import Path
 import tomllib
 
@@ -68,6 +70,76 @@ class BenchmarkConfig:
         return cls(**raw)
 
 
+@dataclass
+class OpenAIConfig:
+    """OpenAI API configuration."""
+
+    api_key: str
+    openai_project_id: str
+    openai_chat_completions_url: str
+    model: str
+    timeout_seconds: int
+
+    @classmethod
+    def from_toml(cls, config_path: Path) -> OpenAIConfig:
+        """Load OpenAI config from a TOML file."""
+        raw = tomllib.loads(config_path.read_text()).get("openai", {})
+        api_key = getenv("CLOSEDAI_TOKEN")
+        if not api_key:
+            message = "CLOSEDAI_TOKEN is required"
+            raise KeyError(message)
+        return cls(
+            api_key=api_key,
+            openai_project_id=raw.get(
+                "openai_project_id", "proj_fQBPEXFgnS87Fk6wZwploFwE"
+            ),
+            openai_chat_completions_url=raw.get(
+                "openai_chat_completions_url",
+                "https://api.openai.com/v1/chat/completions",
+            ),
+            model=raw.get("model", "gpt-5.4-mini"),
+            timeout_seconds=raw.get("timeout_seconds", 60),
+        )
+
+
+class BertTopicTrainConfig:
+    """BERTopic training configuration loaded from TOML."""
+
+    sample_rate: float
+    min_text_length: int
+    n_topics: int
+    model_save_path: str
+    model_version: str | None = None
+
+    @classmethod
+    def from_toml(cls, config_path: Path) -> BertTopicTrainConfig:
+        """Load BERTopic training config from a TOML file."""
+        raw = tomllib.loads(config_path.read_text())["bertopic"]["train"]
+
+        today = date.today().isoformat()
+        if raw.get("model_version") is None:
+            raw["model_version"] = (
+                f"{today}-{raw['sample_rate']}-{raw['min_text_length']}-{raw['n_topics']}"
+            )
+        return cls(**raw)
+
+
+@dataclass
+class BertTopicInferConfig:
+    """BERTopic inference configuration loaded from TOML."""
+
+    min_text_length: int
+    poc_batch_size: int
+    model_version: str
+    model_save_path: str
+
+    @classmethod
+    def from_toml(cls, config_path: Path) -> BertTopicInferConfig:
+        """Load BERTopic inference config from a TOML file."""
+        raw = tomllib.loads(config_path.read_text())["bertopic"]["infer"]
+        return cls(**raw)
+
+
 def get_config_dir() -> Path:
     """Get the path to the config directory."""
     return Path(__file__).resolve().parents[2] / "config"
@@ -78,6 +150,12 @@ def default_config_path() -> Path:
     return get_config_dir() / "config.toml"
 
 
+def get_openai_config(config_path: Path | None = None) -> OpenAIConfig:
+    if config_path is None:
+        config_path = default_config_path()
+    return OpenAIConfig.from_toml(config_path)
+
+
 def get_finetune_config(config_path: Path | None = None) -> FinetuneConfig:
     if config_path is None:
         config_path = default_config_path()
@@ -88,3 +166,19 @@ def get_benchmark_config(config_path: Path | None = None) -> BenchmarkConfig:
     if config_path is None:
         config_path = default_config_path()
     return BenchmarkConfig.from_toml(config_path)
+
+
+def get_bertopic_train_config(
+    config_path: Path | None = None,
+) -> BertTopicTrainConfig:
+    if config_path is None:
+        config_path = default_config_path()
+    return BertTopicTrainConfig.from_toml(config_path)
+
+
+def get_bertopic_infer_config(
+    config_path: Path | None = None,
+) -> BertTopicInferConfig:
+    if config_path is None:
+        config_path = default_config_path()
+    return BertTopicInferConfig.from_toml(config_path)

pipelines/containers/bert_topic.py

@@ -0,0 +1,235 @@
+"""Docker container lifecycle management for BERTopic jobs on Jeeves."""
+
+from __future__ import annotations
+
+import logging
+import os
+import subprocess
+from pathlib import Path
+from typing import Annotated, Literal
+
+import typer
+
+logger = logging.getLogger(__name__)
+
+JOBMode = Literal["train", "infer"]
+IMAGE_NAME = "bert-topic:latest"
+REPO_DIR = Path(__file__).resolve().parents[3]
+DEFAULT_CACHE_ROOT = Path("/zfs/storage/main/ds_thing/models/bert_topic")
+DEFAULT_POSTGRES_SOCKET_DIR = Path("/run/postgresql")
+DB_ENV_VARS = (
+    "DATA_SCIENCE_DEV_DB",
+    "DATA_SCIENCE_DEV_HOST",
+    "DATA_SCIENCE_DEV_PORT",
+    "DATA_SCIENCE_DEV_USER",
+    "DATA_SCIENCE_DEV_PASSWORD",
+)
+
+app = typer.Typer(help="BERTopic container management.")
+
+
+def _container_name(mode: JOBMode) -> str:
+    """Return the Docker container name for the selected BERTopic job."""
+    return f"bert-topic-{mode}"
+
+
+def _module_name(mode: JOBMode) -> str:
+    """Return the Python module to run inside the container."""
+    return f"pipelines.bert_topic.{mode}"
+
+
+def _env_args(*, use_postgres_socket: bool) -> list[str]:
+    """Pass through database environment variables from the host shell."""
+    required = [
+        "DATA_SCIENCE_DEV_DB",
+        "DATA_SCIENCE_DEV_PORT",
+        "DATA_SCIENCE_DEV_USER",
+    ]
+    if not use_postgres_socket:
+        required.append("DATA_SCIENCE_DEV_HOST")
+    missing = [name for name in required if not os.getenv(name)]
+    if missing:
+        message = "Missing required database environment variables: " + ", ".join(
+            missing
+        )
+        raise RuntimeError(message)
+    args: list[str] = []
+    if use_postgres_socket:
+        args.extend(["-e", f"DATA_SCIENCE_DEV_HOST={DEFAULT_POSTGRES_SOCKET_DIR}"])
+    for name in DB_ENV_VARS:
+        if use_postgres_socket and name == "DATA_SCIENCE_DEV_HOST":
+            continue
+        if os.getenv(name):
+            args.extend(["-e", name])
+    return args
+
+
+def build_image() -> None:
+    """Build the BERTopic Docker image."""
+    dockerfile = REPO_DIR / "pipelines/containers/docker_files/Dockerfile.bert_topic"
+    logger.info("Building BERTopic image: %s", IMAGE_NAME)
+    result = subprocess.run(
+        [
+            "docker",
+            "build",
+            "--network",
+            "host",
+            "-f",
+            str(dockerfile),
+            "-t",
+            IMAGE_NAME,
+            str(REPO_DIR),
+        ],
+        capture_output=True,
+        text=True,
+        check=False,
+    )
+    if result.returncode != 0:
+        message = (
+            "Failed to build BERTopic image. "
+            f"docker build stderr:\n{result.stderr.strip()}"
+        )
+        raise RuntimeError(message)
+    logger.info("Image built: %s", IMAGE_NAME)
+
+
+def stop_job(*, mode: JOBMode) -> None:
+    """Stop and remove the BERTopic container for the selected mode."""
+    container_name = _container_name(mode)
+    logger.info("Stopping BERTopic container: %s", container_name)
+    subprocess.run(["docker", "stop", container_name], capture_output=True, check=False)
+    subprocess.run(
+        ["docker", "rm", "-f", container_name], capture_output=True, check=False
+    )
+
+
+def start_job(
+    *,
+    mode: JOBMode,
+    cache_root: Path = DEFAULT_CACHE_ROOT,
+    postgres_socket_dir: Path = DEFAULT_POSTGRES_SOCKET_DIR,
+    detach: bool = False,
+) -> None:
+    """Run BERTopic training or inference in Docker on Jeeves."""
+    cache_root = cache_root.resolve()
+    cache_root.mkdir(parents=True, exist_ok=True)
+    postgres_socket_dir = postgres_socket_dir.resolve()
+    stop_job(mode=mode)
+    use_postgres_socket = postgres_socket_dir.exists()
+
+    command = [
+        "docker",
+        "run",
+        "--name",
+        _container_name(mode),
+        "--ipc=host",
+        "-v",
+        f"{cache_root}:/cache",
+        *_env_args(use_postgres_socket=use_postgres_socket),
+        IMAGE_NAME,
+        _module_name(mode),
+    ]
+    if use_postgres_socket:
+        command[7:7] = ["-v", f"{postgres_socket_dir}:{DEFAULT_POSTGRES_SOCKET_DIR}"]
+    if detach:
+        command.insert(2, "-d")
+
+    logger.info("Starting BERTopic %s container", mode)
+    logger.info("  Cache root: %s", cache_root)
+    if use_postgres_socket:
+        logger.info("  Postgres socket: %s", postgres_socket_dir)
+    result = subprocess.run(command, text=True, capture_output=detach, check=False)
+    if result.returncode != 0:
+        detail = (
+            result.stderr.strip() if result.stderr else f"exit code {result.returncode}"
+        )
+        raise RuntimeError(f"BERTopic container failed to start: {detail}")
+    if detach:
+        logger.info("Container started: %s", result.stdout.strip()[:12])
+    else:
+        logger.info("BERTopic %s run complete", mode)
+
+
+def logs_job(*, mode: JOBMode) -> str | None:
+    """Return recent logs from the BERTopic container, or None if absent."""
+    result = subprocess.run(
+        ["docker", "logs", "--tail", "100", _container_name(mode)],
+        capture_output=True,
+        text=True,
+        check=False,
+    )
+    if result.returncode != 0:
+        return None
+    return result.stdout + result.stderr
+
+
+@app.command()
+def build(
+    log_level: Annotated[str, typer.Option(help="Log level")] = "INFO",
+) -> None:
+    """Build the BERTopic Docker image."""
+    logging.basicConfig(
+        level=log_level,
+        format="%(asctime)s %(levelname)s %(name)s: %(message)s",
+    )
+    build_image()
+
+
+@app.command("run")
+def run_job_command(
+    mode: Annotated[JOBMode, typer.Option(help="Which BERTopic job to run")] = "train",
+    cache_root: Annotated[
+        Path, typer.Option(help="Host path mounted to /cache for model and HF cache")
+    ] = DEFAULT_CACHE_ROOT,
+    postgres_socket_dir: Annotated[
+        Path, typer.Option(help="Host Postgres socket directory to mount into the container")
+    ] = DEFAULT_POSTGRES_SOCKET_DIR,
+    detach: Annotated[
+        bool, typer.Option(help="Start the container in the background")
+    ] = False,
+    log_level: Annotated[str, typer.Option(help="Log level")] = "INFO",
+) -> None:
+    """Run BERTopic training or inference inside Docker."""
+    logging.basicConfig(
+        level=log_level,
+        format="%(asctime)s %(levelname)s %(name)s: %(message)s",
+    )
+    start_job(
+        mode=mode,
+        cache_root=cache_root,
+        postgres_socket_dir=postgres_socket_dir,
+        detach=detach,
+    )
+
+
+@app.command("stop")
+def stop_job_command(
+    mode: Annotated[
+        JOBMode, typer.Option(help="Which BERTopic container to stop")
+    ] = "train",
+) -> None:
+    """Stop and remove the BERTopic container."""
+    stop_job(mode=mode)
+
+
+@app.command("logs")
+def logs_job_command(
+    mode: Annotated[
+        JOBMode, typer.Option(help="Which BERTopic container logs to show")
+    ] = "train",
+) -> None:
+    """Show recent logs from the BERTopic container."""
+    output = logs_job(mode=mode)
+    if output is None:
+        typer.echo(f"No BERTopic container found for mode={mode}.")
+        raise typer.Exit(code=1)
+    typer.echo(output)
+
+
+def cli() -> None:
+    """Typer entry point."""
+    app()
+
+
+if __name__ == "__main__":
+    cli()

pipelines/containers/docker_files/Dockerfile.bert_topic

@@ -0,0 +1,38 @@
+FROM python:3.12-bookworm
+
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
+ENV PIP_NO_CACHE_DIR=1
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    gcc \
+    g++ \
+    git \
+    libgomp1 \
+    libpq-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+COPY pipelines ./pipelines
+
+RUN python -m pip install --upgrade pip setuptools wheel && \
+    python -m pip install \
+    torch \
+    --index-url https://download.pytorch.org/whl/cpu && \
+    python -m pip install \
+    typer \
+    sqlalchemy \
+    bertopic \
+    sentence-transformers \
+    scikit-learn \
+    pandas \
+    numpy \
+    "psycopg[binary]"
+
+ENV HF_HOME=/cache/huggingface
+ENV TRANSFORMERS_CACHE=/cache/huggingface
+
+ENTRYPOINT ["python", "-m"]
+CMD ["pipelines.bert_topic.train"]

pipelines/containers/docker_files/Dockerfile.finetune

@@ -0,0 +1,11 @@
+FROM ghcr.io/unslothai/unsloth:latest
+
+RUN pip install --no-cache-dir typer
+
+WORKDIR /workspace
+COPY python/prompt_bench/finetune.py python/prompt_bench/finetune.py
+COPY config/prompts/summarization_prompts.toml config/prompts/summarization_prompts.toml
+COPY python/prompt_bench/__init__.py python/prompt_bench/__init__.py
+COPY python/__init__.py python/__init__.py
+
+ENTRYPOINT ["python", "-m", "pipelines.prompt_bench.finetune"]

pipelines/containers/finetune.py

@@ -9,7 +9,7 @@ from typing import Annotated
 
 import typer
 
-from pipelines.tools.containers.lib import check_gpu_free
+from pipelines.pipelines.containers.lib import check_gpu_free
 
 logger = logging.getLogger(__name__)
 
@@ -27,7 +27,7 @@ def build_image() -> None:
             "docker",
             "build",
             "-f",
-            str(REPO_DIR / "python/prompt_bench/Dockerfile.finetune"),
+            str(REPO_DIR / "pipelines/containers/docker_files/Dockerfile.finetune"),
             "-t",
             FINETUNE_IMAGE,
             ".",

pipelines/containers/web.py

@@ -0,0 +1,197 @@
+"""Docker container lifecycle management for the web app stack."""
+
+from __future__ import annotations
+
+import logging
+import os
+import subprocess
+from pathlib import Path
+from typing import Annotated, Literal
+
+import typer
+
+logger = logging.getLogger(__name__)
+
+REPO_DIR = Path(__file__).resolve().parents[2]
+COMPOSE_FILE = REPO_DIR / "docker-compose.yml"
+EnvTarget = Literal["all", "web", "db"]
+REQUIRED_WORKOS_ENV_VARS = (
+    "WORKOS_API_KEY",
+    "WORKOS_CLIENT_ID",
+    "WORKOS_COOKIE_PASSWORD",
+    "WORKOS_ORGANIZATION_ID",
+)
+
+app = typer.Typer(help="Web stack container management.")
+
+
+def _compose_command(*args: str) -> list[str]:
+    """Build a docker compose command for the repo-local stack."""
+    return ["docker", "compose", "-f", str(COMPOSE_FILE), *args]
+
+
+def _run_compose(
+    *args: str,
+    capture_output: bool = False,
+    check: bool = True,
+) -> subprocess.CompletedProcess[str]:
+    """Run docker compose in the repository root."""
+    result = subprocess.run(
+        _compose_command(*args),
+        cwd=REPO_DIR,
+        text=True,
+        capture_output=capture_output,
+        check=False,
+    )
+    if check and result.returncode != 0:
+        detail = result.stderr.strip() if result.stderr else f"exit code {result.returncode}"
+        raise RuntimeError(f"docker compose {' '.join(args)} failed: {detail}")
+    return result
+
+
+def _validate_workos_env() -> None:
+    """Ensure the web app has the WorkOS env vars it needs before startup."""
+    missing = [name for name in REQUIRED_WORKOS_ENV_VARS if not os.getenv(name)]
+    if missing:
+        message = (
+            "Missing required WorkOS environment variables: "
+            + ", ".join(missing)
+            + ". Populate .env before running the web stack."
+        )
+        raise RuntimeError(message)
+
+    cookie_password = os.getenv("WORKOS_COOKIE_PASSWORD", "")
+    if len(cookie_password) < 32:
+        raise RuntimeError("WORKOS_COOKIE_PASSWORD must be at least 32 characters long.")
+
+
+def build_stack() -> None:
+    """Build the web app image."""
+    logger.info("Building web image from %s", COMPOSE_FILE)
+    _run_compose("build", "web", capture_output=False)
+    logger.info("Web image built")
+
+
+def _validate_database_env() -> None:
+    """Ensure the web app has the database env vars it needs before startup."""
+    required = (
+        "DATA_SCIENCE_DEV_DB",
+        "DATA_SCIENCE_DEV_HOST",
+        "DATA_SCIENCE_DEV_PORT",
+        "DATA_SCIENCE_DEV_USER",
+    )
+    missing = [name for name in required if not os.getenv(name)]
+    if missing:
+        message = (
+            "Missing required database environment variables: "
+            + ", ".join(missing)
+            + ". Populate .env before running the web stack."
+        )
+        raise RuntimeError(message)
+
+
+def start_stack(
+    *, build: bool = False, detach: bool = False, with_local_db: bool = False
+) -> None:
+    """Start the web stack, using the existing DB by default."""
+    _validate_workos_env()
+    _validate_database_env()
+    command = ["up"]
+    if build:
+        command.append("--build")
+    if detach:
+        command.append("-d")
+    if with_local_db:
+        command.extend(["--profile", "localdb", "db", "web"])
+    else:
+        command.append("web")
+    logger.info(
+        "Starting web stack%s",
+        " with local Postgres" if with_local_db else " against existing Postgres",
+    )
+    _run_compose(*command, capture_output=False)
+
+
+def stop_stack(*, drop_volumes: bool = False) -> None:
+    """Stop and remove the web stack."""
+    logger.info("Stopping web stack")
+    command = ["down"]
+    if drop_volumes:
+        command.append("--volumes")
+    _run_compose(*command, capture_output=False)
+
+
+def logs_stack(*, target: EnvTarget = "all", follow: bool = False, tail: int = 100) -> None:
+    """Show docker compose logs for the web stack."""
+    command = ["logs", "--tail", str(tail)]
+    if follow:
+        command.append("--follow")
+    if target != "all":
+        command.append(target)
+    _run_compose(*command, capture_output=False)
+
+
+@app.command()
+def build(
+    log_level: Annotated[str, typer.Option(help="Log level")] = "INFO",
+) -> None:
+    """Build the web Docker image."""
+    logging.basicConfig(
+        level=log_level,
+        format="%(asctime)s %(levelname)s %(name)s: %(message)s",
+    )
+    build_stack()
+
+
+@app.command()
+def run(
+    build: Annotated[
+        bool, typer.Option(help="Rebuild the web image before starting the stack")
+    ] = False,
+    detach: Annotated[
+        bool, typer.Option(help="Start the stack in the background")
+    ] = False,
+    with_local_db: Annotated[
+        bool, typer.Option(help="Also start the optional local Postgres container")
+    ] = False,
+    log_level: Annotated[str, typer.Option(help="Log level")] = "INFO",
+) -> None:
+    """Run the web + Postgres stack."""
+    logging.basicConfig(
+        level=log_level,
+        format="%(asctime)s %(levelname)s %(name)s: %(message)s",
+    )
+    start_stack(build=build, detach=detach, with_local_db=with_local_db)
+
+
+@app.command()
+def stop(
+    drop_volumes: Annotated[
+        bool, typer.Option(help="Also delete the Postgres volume")
+    ] = False,
+) -> None:
+    """Stop and remove the web stack."""
+    stop_stack(drop_volumes=drop_volumes)
+
+
+@app.command()
+def logs(
+    target: Annotated[
+        EnvTarget, typer.Option(help="Which service logs to show")
+    ] = "all",
+    follow: Annotated[
+        bool, typer.Option(help="Follow logs until interrupted")
+    ] = False,
+    tail: Annotated[int, typer.Option(help="How many recent lines to show")] = 100,
+) -> None:
+    """Show recent logs from the web stack."""
+    logs_stack(target=target, follow=follow, tail=tail)
+
+
+def cli() -> None:
+    """Typer entry point."""
+    app()
+
+
+if __name__ == "__main__":
+    cli()

pipelines/jobs/calculate_legislator_scores.py

@@ -0,0 +1,574 @@
+"""Calculate legislator topic scores from bill topics and roll-call votes."""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass
+from typing import Annotated, Sequence
+
+import typer
+from sqlalchemy import (
+    ColumnElement,
+    Integer,
+    Select,
+    and_,
+    case,
+    cast,
+    delete,
+    extract,
+    func,
+    or_,
+    select,
+    tuple_,
+)
+from sqlalchemy.orm import Session
+
+from pipelines.jobs.congress_vote_context import create_score_run, finalize_score_run
+from pipelines.orm.common import get_postgres_engine
+from pipelines.orm.data_science_dev.congress import (
+    BillTopic,
+    BillTopicPosition,
+    LegislatorScore,
+    SubjectType,
+    Vote,
+    VoteClassification,
+    VoteEffect,
+    VoteMeasureLink,
+    VoteMeasureRole,
+    VotePositionMeaning,
+    VoteRelationship,
+    VoteRecord,
+)
+from pipelines.jobs.extract_bill_topics import normalize_topic_label
+from pipelines.web.scoring import (
+    OPPOSE_POSITIONS,
+    SUPPORT_POSITIONS,
+    normalized_position_expression,
+)
+
+logger = logging.getLogger(__name__)
+
+DELETE_BATCH_SIZE = 5_000
+
+
+@dataclass(frozen=True)
+class ScoreDiagnostics:
+    """Counts for the input stages required to calculate legislator scores."""
+
+    bill_topic_rows: int
+    linked_vote_rows: int
+    vote_record_rows: int
+    topic_vote_links: int
+    scorable_vote_records: int
+
+
+@dataclass(frozen=True)
+class LegislatorScoreInput:
+    """One aggregated score ready to store in legislator_score."""
+
+    legislator_id: int
+    year: int
+    topic: str
+    score: float
+    supportive: int
+    opposed: int
+
+
+def create_legislator_score_query(
+    *,
+    congress: int | None = None,
+    bill_ids: Sequence[int] | None = None,
+    topics: Sequence[str] | None = None,
+) -> Select:
+    """Build the aggregate score query from extracted bill topics and vote records."""
+    normalized_vote = normalized_position_expression(VoteRecord.position)
+    supportive_vote = _supportive_vote_expression(normalized_vote)
+    opposed_vote = _opposed_vote_expression(normalized_vote)
+    supportive_count = func.sum(supportive_vote)
+    opposed_count = func.sum(opposed_vote)
+    total_count = supportive_count + opposed_count
+    vote_year = cast(extract("year", Vote.vote_date), Integer)
+    score = (100.0 * supportive_count / func.nullif(total_count, 0)).label("score")
+
+    stmt = (
+        select(
+            VoteRecord.legislator_id.label("legislator_id"),
+            vote_year.label("year"),
+            BillTopic.topic.label("topic"),
+            score,
+            supportive_count.label("supportive"),
+            opposed_count.label("opposed"),
+            total_count.label("total"),
+        )
+        .select_from(VoteRecord)
+        .join(Vote, Vote.id == VoteRecord.vote_id)
+        .join(VoteClassification, VoteClassification.vote_id == Vote.id)
+        .join(VotePositionMeaning, VotePositionMeaning.vote_id == Vote.id)
+        .join(
+            VoteMeasureLink,
+            and_(
+                VoteMeasureLink.vote_id == Vote.id,
+                VoteMeasureLink.role == VoteMeasureRole.VOTED_ON,
+            ),
+        )
+        .join(BillTopic, BillTopic.bill_id == VoteMeasureLink.measure_id)
+        .where(
+            *_eligible_vote_filters(),
+            _is_scorable_position(normalized_vote),
+        )
+        .group_by(VoteRecord.legislator_id, vote_year, BillTopic.topic)
+        .having(total_count > 0)
+        .order_by(VoteRecord.legislator_id, vote_year, BillTopic.topic)
+    )
+    if congress is not None:
+        stmt = stmt.where(Vote.congress == congress)
+    if bill_ids:
+        stmt = stmt.where(VoteMeasureLink.measure_id.in_(list(bill_ids)))
+
+    normalized_topics = _normalize_topics(topics)
+    if normalized_topics:
+        stmt = stmt.where(BillTopic.topic.in_(normalized_topics))
+
+    return stmt
+
+
+def collect_legislator_scores(
+    session: Session,
+    *,
+    congress: int | None = None,
+    bill_ids: Sequence[int] | None = None,
+    topics: Sequence[str] | None = None,
+) -> list[LegislatorScoreInput]:
+    """Run the aggregate query and return score rows."""
+    rows = session.execute(
+        create_legislator_score_query(
+            congress=congress,
+            bill_ids=bill_ids,
+            topics=topics,
+        )
+    )
+    return [
+        LegislatorScoreInput(
+            legislator_id=int(row.legislator_id),
+            year=int(row.year),
+            topic=str(row.topic),
+            score=float(row.score),
+            supportive=int(row.supportive),
+            opposed=int(row.opposed),
+        )
+        for row in rows
+        if row.score is not None
+    ]
+
+
+def collect_score_diagnostics(
+    session: Session,
+    *,
+    congress: int | None = None,
+    bill_ids: Sequence[int] | None = None,
+    topics: Sequence[str] | None = None,
+) -> ScoreDiagnostics:
+    """Count score pipeline inputs for explaining empty score runs."""
+    normalized_topics = _normalize_topics(topics)
+    vote_filters = _vote_scope_filters(congress=congress, bill_ids=bill_ids)
+    topic_filters = _topic_scope_filters(bill_ids=bill_ids, topics=normalized_topics)
+    normalized_vote = normalized_position_expression(VoteRecord.position)
+    eligible_vote_filters = _eligible_vote_filters()
+
+    bill_topic_rows = session.scalar(
+        select(func.count(BillTopic.id)).where(*topic_filters)
+    )
+    linked_vote_rows = session.scalar(
+        select(func.count(func.distinct(Vote.id)))
+        .select_from(Vote)
+        .join(VoteClassification, VoteClassification.vote_id == Vote.id)
+        .join(
+            VoteMeasureLink,
+            and_(
+                VoteMeasureLink.vote_id == Vote.id,
+                VoteMeasureLink.role == VoteMeasureRole.VOTED_ON,
+            ),
+        )
+        .where(*vote_filters, *eligible_vote_filters)
+    )
+    vote_record_rows = session.scalar(
+        select(func.count())
+        .select_from(VoteRecord)
+        .join(Vote, Vote.id == VoteRecord.vote_id)
+        .join(VoteClassification, VoteClassification.vote_id == Vote.id)
+        .where(*vote_filters, *eligible_vote_filters)
+    )
+    topic_vote_links = session.scalar(
+        select(func.count())
+        .select_from(VoteRecord)
+        .join(Vote, Vote.id == VoteRecord.vote_id)
+        .join(VoteClassification, VoteClassification.vote_id == Vote.id)
+        .join(VotePositionMeaning, VotePositionMeaning.vote_id == Vote.id)
+        .join(
+            VoteMeasureLink,
+            and_(
+                VoteMeasureLink.vote_id == Vote.id,
+                VoteMeasureLink.role == VoteMeasureRole.VOTED_ON,
+            ),
+        )
+        .join(BillTopic, BillTopic.bill_id == VoteMeasureLink.measure_id)
+        .where(*vote_filters, *topic_filters, *eligible_vote_filters)
+    )
+    scorable_vote_records = session.scalar(
+        select(func.count())
+        .select_from(VoteRecord)
+        .join(Vote, Vote.id == VoteRecord.vote_id)
+        .join(VoteClassification, VoteClassification.vote_id == Vote.id)
+        .join(VotePositionMeaning, VotePositionMeaning.vote_id == Vote.id)
+        .join(
+            VoteMeasureLink,
+            and_(
+                VoteMeasureLink.vote_id == Vote.id,
+                VoteMeasureLink.role == VoteMeasureRole.VOTED_ON,
+            ),
+        )
+        .join(BillTopic, BillTopic.bill_id == VoteMeasureLink.measure_id)
+        .where(
+            *vote_filters,
+            *topic_filters,
+            *eligible_vote_filters,
+            _is_scorable_position(normalized_vote),
+        )
+    )
+
+    return ScoreDiagnostics(
+        bill_topic_rows=bill_topic_rows or 0,
+        linked_vote_rows=linked_vote_rows or 0,
+        vote_record_rows=vote_record_rows or 0,
+        topic_vote_links=topic_vote_links or 0,
+        scorable_vote_records=scorable_vote_records or 0,
+    )
+
+
+def store_legislator_scores(
+    session: Session,
+    rows: Sequence[LegislatorScoreInput],
+    *,
+    score_run_id: int | None,
+    replace_all: bool = False,
+) -> int:
+    """Replace matching score rows and insert the newly calculated scores."""
+    if replace_all:
+        session.execute(delete(LegislatorScore))
+    elif rows:
+        keys = [
+            (row.legislator_id, row.year, row.topic)
+            for row in rows
+        ]
+        for key_batch in _batched(keys, DELETE_BATCH_SIZE):
+            session.execute(
+                delete(LegislatorScore).where(
+                    tuple_(
+                        LegislatorScore.legislator_id,
+                        LegislatorScore.year,
+                        LegislatorScore.topic,
+                    ).in_(key_batch)
+                )
+            )
+
+    session.add_all(
+        [
+            LegislatorScore(
+                legislator_id=row.legislator_id,
+                year=row.year,
+                topic=row.topic,
+                score=row.score,
+                score_run_id=score_run_id,
+            )
+            for row in rows
+        ]
+    )
+    return len(rows)
+
+
+def _supportive_vote_expression(
+    normalized_vote: ColumnElement[str | None],
+) -> ColumnElement[int]:
+    supports_text = _position_matches_effect(normalized_vote, VoteEffect.SUPPORTS_TEXT)
+    opposes_text = _position_matches_effect(normalized_vote, VoteEffect.OPPOSES_TEXT)
+    return case(
+        (
+            and_(
+                BillTopic.support_position == BillTopicPosition.FOR,
+                supports_text,
+            ),
+            1,
+        ),
+        (
+            and_(
+                BillTopic.support_position == BillTopicPosition.AGAINST,
+                opposes_text,
+            ),
+            1,
+        ),
+        else_=0,
+    )
+
+
+def _opposed_vote_expression(
+    normalized_vote: ColumnElement[str | None],
+) -> ColumnElement[int]:
+    supports_text = _position_matches_effect(normalized_vote, VoteEffect.SUPPORTS_TEXT)
+    opposes_text = _position_matches_effect(normalized_vote, VoteEffect.OPPOSES_TEXT)
+    return case(
+        (
+            and_(
+                BillTopic.support_position == BillTopicPosition.FOR,
+                opposes_text,
+            ),
+            1,
+        ),
+        (
+            and_(
+                BillTopic.support_position == BillTopicPosition.AGAINST,
+                supports_text,
+            ),
+            1,
+        ),
+        else_=0,
+    )
+
+
+def _position_matches_effect(
+    normalized_vote: ColumnElement[str | None],
+    effect: VoteEffect,
+) -> ColumnElement[bool]:
+    return or_(
+        and_(
+            normalized_vote.in_(sorted(SUPPORT_POSITIONS)),
+            VotePositionMeaning.yea_effect == effect,
+        ),
+        and_(
+            normalized_vote.in_(sorted(OPPOSE_POSITIONS)),
+            VotePositionMeaning.nay_effect == effect,
+        ),
+        and_(
+            normalized_vote == "present",
+            VotePositionMeaning.present_effect == effect,
+        ),
+    )
+
+
+def _is_scorable_position(normalized_vote: ColumnElement[str | None]) -> ColumnElement[bool]:
+    return or_(
+        _position_matches_effect(normalized_vote, VoteEffect.SUPPORTS_TEXT),
+        _position_matches_effect(normalized_vote, VoteEffect.OPPOSES_TEXT),
+    )
+
+
+def _normalize_topics(topics: Sequence[str] | None) -> list[str]:
+    normalized: list[str] = []
+    seen: set[str] = set()
+    for topic in topics or []:
+        value = normalize_topic_label(topic)
+        if value and value not in seen:
+            normalized.append(value)
+            seen.add(value)
+    return normalized
+
+
+def _batched[T](items: Sequence[T], batch_size: int) -> list[Sequence[T]]:
+    return [
+        items[index : index + batch_size]
+        for index in range(0, len(items), batch_size)
+    ]
+
+
+def _vote_scope_filters(
+    *,
+    congress: int | None,
+    bill_ids: Sequence[int] | None,
+) -> list[ColumnElement[bool]]:
+    filters: list[ColumnElement[bool]] = []
+    if congress is not None:
+        filters.append(Vote.congress == congress)
+    if bill_ids:
+        filters.append(VoteMeasureLink.measure_id.in_(list(bill_ids)))
+    return filters
+
+
+def _topic_scope_filters(
+    *,
+    bill_ids: Sequence[int] | None,
+    topics: Sequence[str],
+) -> list[ColumnElement[bool]]:
+    filters: list[ColumnElement[bool]] = []
+    if bill_ids:
+        filters.append(BillTopic.bill_id.in_(list(bill_ids)))
+    if topics:
+        filters.append(BillTopic.topic.in_(list(topics)))
+    return filters
+
+
+def _has_score_scope(
+    *,
+    congress: int | None,
+    bill_ids: Sequence[int] | None,
+    topics: Sequence[str] | None,
+) -> bool:
+    return congress is not None or bool(bill_ids) or bool(topics)
+
+
+def _eligible_vote_filters() -> list[ColumnElement[bool]]:
+    return [
+        VoteClassification.subject_type == SubjectType.MEASURE,
+        VoteClassification.vote_relationship == VoteRelationship.DIRECT_TEXT_VOTE,
+        VoteClassification.is_direct_vote_on_legislative_text.is_(True),
+        VoteClassification.is_substantive_policy_vote.is_(True),
+        VoteClassification.is_special_rule.is_(False),
+    ]
+
+
+def main(
+    congress: Annotated[
+        int | None,
+        typer.Option(help="Only score votes from one Congress."),
+    ] = None,
+    bill_ids: Annotated[
+        list[int] | None,
+        typer.Option(
+            "--bill-id",
+            help="Only score votes linked to one internal bill.id. Repeatable.",
+        ),
+    ] = None,
+    topics: Annotated[
+        list[str] | None,
+        typer.Option("--topic", help="Only score one normalized topic. Repeatable."),
+    ] = None,
+    replace_all: Annotated[
+        bool,
+        typer.Option(
+            help="Delete every existing legislator score before inserting. "
+            "Unfiltered runs do this automatically."
+        ),
+    ] = False,
+    dry_run: Annotated[
+        bool,
+        typer.Option(help="Calculate scores without writing to the database."),
+    ] = False,
+    log_level: Annotated[str, typer.Option(help="Log level.")] = "INFO",
+    diagnose: Annotated[
+        bool,
+        typer.Option(help="Log input-stage counts even when rows are calculated."),
+    ] = False,
+) -> None:
+    """CLI entrypoint for calculating and storing legislator topic scores."""
+    logging.basicConfig(
+        level=log_level,
+        format="%(asctime)s %(levelname)s %(name)s: %(message)s",
+    )
+
+    engine = get_postgres_engine(name="DATA_SCIENCE_DEV")
+    with Session(engine) as session:
+        rows = collect_legislator_scores(
+            session,
+            congress=congress,
+            bill_ids=bill_ids,
+            topics=topics,
+        )
+        logger.info("Calculated %d legislator topic score rows", len(rows))
+        if diagnose or not rows:
+            diagnostics = collect_score_diagnostics(
+                session,
+                congress=congress,
+                bill_ids=bill_ids,
+                topics=topics,
+            )
+            _log_diagnostics(diagnostics)
+
+        if dry_run:
+            session.rollback()
+            return
+
+        score_run = create_score_run(session)
+        should_replace_all = replace_all or not _has_score_scope(
+            congress=congress,
+            bill_ids=bill_ids,
+            topics=topics,
+        )
+        written = store_legislator_scores(
+            session,
+            rows,
+            score_run_id=score_run.id,
+            replace_all=should_replace_all,
+        )
+        included_vote_count = session.scalar(
+            select(func.count(func.distinct(Vote.id)))
+            .select_from(VoteRecord)
+            .join(Vote, Vote.id == VoteRecord.vote_id)
+            .join(VoteClassification, VoteClassification.vote_id == Vote.id)
+            .join(VotePositionMeaning, VotePositionMeaning.vote_id == Vote.id)
+            .join(
+                VoteMeasureLink,
+                and_(
+                    VoteMeasureLink.vote_id == Vote.id,
+                    VoteMeasureLink.role == VoteMeasureRole.VOTED_ON,
+                ),
+            )
+            .join(BillTopic, BillTopic.bill_id == VoteMeasureLink.measure_id)
+            .where(
+                *_vote_scope_filters(congress=congress, bill_ids=bill_ids),
+                *_topic_scope_filters(bill_ids=bill_ids, topics=_normalize_topics(topics)),
+                *_eligible_vote_filters(),
+                _is_scorable_position(normalized_position_expression(VoteRecord.position)),
+            )
+        ) or 0
+        total_scoped_votes = session.scalar(
+            select(func.count(func.distinct(Vote.id)))
+            .select_from(Vote)
+            .join(VoteClassification, VoteClassification.vote_id == Vote.id)
+            .join(
+                VoteMeasureLink,
+                and_(
+                    VoteMeasureLink.vote_id == Vote.id,
+                    VoteMeasureLink.role == VoteMeasureRole.VOTED_ON,
+                ),
+            )
+            .where(*_vote_scope_filters(congress=congress, bill_ids=bill_ids))
+        ) or 0
+        finalize_score_run(
+            session,
+            score_run=score_run,
+            included_vote_count=included_vote_count,
+            excluded_vote_count=max(total_scoped_votes - included_vote_count, 0),
+        )
+        session.commit()
+        logger.info("Stored %d legislator topic score rows", written)
+
+
+def _log_diagnostics(diagnostics: ScoreDiagnostics) -> None:
+    logger.info(
+        "Score input diagnostics: bill_topic_rows=%d linked_vote_rows=%d "
+        "vote_record_rows=%d topic_vote_links=%d scorable_vote_records=%d",
+        diagnostics.bill_topic_rows,
+        diagnostics.linked_vote_rows,
+        diagnostics.vote_record_rows,
+        diagnostics.topic_vote_links,
+        diagnostics.scorable_vote_records,
+    )
+    if diagnostics.bill_topic_rows == 0:
+        logger.warning(
+            "No extracted bill topics matched the score scope. Run "
+            "pipelines.tools.extract_bill_topics after bill summarization."
+        )
+    elif diagnostics.linked_vote_rows == 0:
+        logger.warning("No direct substantive text votes matched the score scope.")
+    elif diagnostics.vote_record_rows == 0:
+        logger.warning("No individual vote records matched the score scope.")
+    elif diagnostics.topic_vote_links == 0:
+        logger.warning(
+            "Bill topics exist, but none are attached to bills that have eligible scored votes."
+        )
+    elif diagnostics.scorable_vote_records == 0:
+        logger.warning(
+            "Topic-vote links exist, but no joined vote records had Yea/Aye/Yes/Nay/No positions."
+        )
+
+
+if __name__ == "__main__":
+    typer.run(main)

pipelines/jobs/extract_bill_topics.py

@@ -0,0 +1,682 @@
+"""Extract bill topics from bill text using a configurable topic catalog."""
+
+from __future__ import annotations
+
+import json
+import logging
+import re
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Annotated, Any, Sequence
+
+import httpx
+import typer
+from sqlalchemy import ColumnElement, Select, delete, exists, func, select
+from sqlalchemy.orm import Session, selectinload
+
+from pipelines.config import OpenAIConfig, get_config_dir, get_openai_config
+from pipelines.orm.common import get_postgres_engine
+from pipelines.orm.data_science_dev.congress import (
+    Bill,
+    BillText,
+    BillTopic,
+    BillTopicPosition,
+    SubjectType,
+    VoteClassification,
+    VoteRelationship,
+    VoteTextTarget,
+)
+
+logger = logging.getLogger(__name__)
+
+OPENAI_PROJECT_ID = "proj_fQBPEXFgnS87Fk6wZwploFwE"
+OPENAI_CHAT_COMPLETIONS_URL = "https://api.openai.com/v1/chat/completions"
+REQUEST_TIMEOUT_SECONDS = 60
+DEFAULT_TOPICS_PATH = get_config_dir() / "congressional_issues_comprehensive.json"
+
+
+class TopicExtractionError(RuntimeError):
+    """Raised when a topic extraction request or response is invalid."""
+
+
+@dataclass(frozen=True)
+class TopicCatalog:
+    """Loaded topic catalog with categories for prompting and flat candidates."""
+
+    topics_by_category: dict[str, list[str]]
+    candidate_topics: list[str]
+
+
+@dataclass(frozen=True)
+class TopicExtractionDiagnostics:
+    """Counts for the bill summary inputs needed by topic extraction."""
+
+    bill_rows: int
+    bill_text_rows: int
+    summarized_bill_text_rows: int
+    bills_with_summaries: int
+    bill_topic_rows: int
+    selected_bills: int
+
+
+@dataclass(frozen=True)
+class ExtractedBillTopic:
+    """One extracted bill topic and yes-vote stance."""
+
+    topic: str
+    support_position: BillTopicPosition
+    confidence: float | None = None
+    evidence: str | None = None
+
+
+def _select_bill_text_for_topic_extraction(bill: Bill) -> BillText | None:
+    """Pick one summarized bill_text row from the already-loaded relationship."""
+    for bill_text in bill.bill_texts:
+        if bill_text.summary and bill_text.summary.strip():
+            return bill_text
+    return None
+
+
+def normalize_topic_label(value: str) -> str:
+    """Normalize a topic label for storage, comparison, and de-duping."""
+    normalized = value.strip().strip("\"'")
+    normalized = normalized.strip().rstrip(".").strip()
+    return re.sub(r"\s+", " ", normalized).lower()
+
+
+def load_topic_catalog(path: Path | None = None) -> TopicCatalog:
+    """Load, validate, normalize, and flatten the bill topic catalog."""
+    topics_path = path or DEFAULT_TOPICS_PATH
+    try:
+        raw = json.loads(topics_path.read_text())
+    except FileNotFoundError as exc:
+        msg = f"Topic catalog not found: {topics_path}"
+        raise TopicExtractionError(msg) from exc
+    except json.JSONDecodeError as exc:
+        msg = f"Topic catalog is not valid JSON: {topics_path}: {exc}"
+        raise TopicExtractionError(msg) from exc
+
+    if not isinstance(raw, dict):
+        msg = "Topic catalog root must be an object mapping category names to lists"
+        raise TopicExtractionError(msg)
+
+    topics_by_category: dict[str, list[str]] = {}
+    candidate_topics: list[str] = []
+    seen_topics: set[str] = set()
+
+    for category, topics in raw.items():
+        if not isinstance(category, str) or not category.strip():
+            msg = "Topic catalog category names must be non-empty strings"
+            raise TopicExtractionError(msg)
+        if not isinstance(topics, list):
+            msg = f"Topic catalog category {category!r} must contain a list"
+            raise TopicExtractionError(msg)
+
+        normalized_topics: list[str] = []
+        for topic in topics:
+            if not isinstance(topic, str):
+                msg = f"Topic catalog category {category!r} contains a non-string topic"
+                raise TopicExtractionError(msg)
+            normalized_topic = normalize_topic_label(topic)
+            if not normalized_topic:
+                msg = f"Topic catalog category {category!r} contains a blank topic"
+                raise TopicExtractionError(msg)
+            if normalized_topic in seen_topics:
+                continue
+            seen_topics.add(normalized_topic)
+            normalized_topics.append(normalized_topic)
+            candidate_topics.append(normalized_topic)
+
+        topics_by_category[category.strip()] = normalized_topics
+
+    return TopicCatalog(
+        topics_by_category=topics_by_category,
+        candidate_topics=candidate_topics,
+    )
+
+
+def build_topic_extraction_messages(
+    *,
+    bill: Bill,
+    bill_text: str,
+    candidate_topics: Sequence[str],
+) -> list[dict[str, str]]:
+    """Build GPT messages for extracting a bill's scored topics."""
+    normalized_candidates = [normalize_topic_label(topic) for topic in candidate_topics]
+    candidate_list = "\n".join(f"- {topic}" for topic in normalized_candidates)
+    metadata = "\n".join(
+        (
+            f"Congress: {bill.congress}",
+            f"Bill: {bill.bill_type} {bill.number}",
+            f"Title: {bill.title_short or bill.title or bill.official_title or ''}",
+            f"Top subject term: {bill.subjects_top_term or ''}",
+        )
+    )
+
+    system_prompt = (
+        "You extract policy topics from U.S. congressional bills.\n"
+        'For each selected topic, decide whether a Yes/Yea vote on the bill is "for" or "against" that topic.\n'
+        'Use "support_position": "for" when a Yes/Yea vote advances or supports the topic.\n'
+        'Use "support_position": "against" when a Yes/Yea vote restricts, repeals, blocks, or opposes the topic.\n'
+        "Select only topics from the provided candidate topic list.\n"
+        "Omit topics that are not materially addressed by the bill.\n"
+        "Return strict JSON only, with this shape:\n"
+        '{"topics":[{"topic":"candidate topic","support_position":"for","confidence":0.0,"evidence":"short reason"}]}'
+    )
+    user_prompt = "\n\n".join(
+        (
+            "BILL METADATA:",
+            metadata,
+            "CANDIDATE TOPICS:",
+            candidate_list,
+            "BILL TEXT:",
+            bill_text,
+        )
+    )
+    return [
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": user_prompt},
+    ]
+
+
+def call_openai_topic_extraction(
+    *,
+    openai_config: OpenAIConfig,
+    messages: list[dict[str, str]],
+) -> str:
+    """Call GPT and return the assistant message content."""
+
+    response = httpx.post(
+        openai_config.openai_chat_completions_url,
+        headers={
+            "Authorization": f"Bearer {openai_config.api_key}",
+            "OpenAI-Project": openai_config.openai_project_id,
+            "Content-Type": "application/json",
+        },
+        json={
+            "model": "gpt-5.4-mini",
+            "messages": messages,
+        },
+        timeout=openai_config.timeout_seconds,
+    )
+    response.raise_for_status()
+    return extract_message_content(response.json())
+
+
+def extract_message_content(data: dict[str, Any]) -> str:
+    """Extract message content from a chat-completions response body."""
+    choices = data.get("choices")
+    if not isinstance(choices, list) or not choices:
+        msg = "Chat completion response did not contain choices"
+        raise TopicExtractionError(msg)
+
+    first = choices[0]
+    if not isinstance(first, dict):
+        msg = "Chat completion choice must be an object"
+        raise TopicExtractionError(msg)
+
+    message = first.get("message")
+    if isinstance(message, dict) and isinstance(message.get("content"), str):
+        return message["content"]
+    if isinstance(first.get("text"), str):
+        return first["text"]
+
+    msg = "Chat completion response did not contain message content"
+    raise TopicExtractionError(msg)
+
+
+def parse_topic_extraction_response(response_text: str) -> list[ExtractedBillTopic]:
+    """Parse, normalize, validate, and de-dupe a topic extraction response."""
+    payload = _load_json_response(response_text)
+    topics = payload.get("topics")
+    if not isinstance(topics, list):
+        msg = "Topic extraction response must contain a topics list"
+        raise TopicExtractionError(msg)
+
+    deduped: dict[tuple[str, BillTopicPosition], ExtractedBillTopic] = {}
+    for item in topics:
+        if not isinstance(item, dict):
+            msg = "Topic extraction response topics must be objects"
+            raise TopicExtractionError(msg)
+
+        raw_topic = _extract_topic_label(item)
+        topic = normalize_topic_label(raw_topic)
+        if not topic:
+            msg = "Topic extraction response topic must not be blank"
+            raise TopicExtractionError(msg)
+
+        raw_position = item.get("support_position")
+        try:
+            support_position = BillTopicPosition(raw_position)
+        except ValueError as exc:
+            msg = f"Invalid support_position: {raw_position!r}"
+            raise TopicExtractionError(msg) from exc
+
+        confidence = _parse_confidence(item.get("confidence"))
+        evidence = item.get("evidence")
+        if evidence is not None and not isinstance(evidence, str):
+            evidence = str(evidence)
+
+        extracted = ExtractedBillTopic(
+            topic=topic,
+            support_position=support_position,
+            confidence=confidence,
+            evidence=evidence,
+        )
+        key = (topic, support_position)
+        existing = deduped.get(key)
+        if existing is None or _confidence_rank(extracted) > _confidence_rank(existing):
+            deduped[key] = extracted
+
+    return list(deduped.values())
+
+
+def extract_topics_for_bill_text(
+    *,
+    openai_config: OpenAIConfig,
+    bill: Bill,
+    text: str,
+    candidate_topics: Sequence[str],
+) -> list[ExtractedBillTopic]:
+    """Extract accepted catalog topics for a bill text string."""
+    normalized_candidates = {normalize_topic_label(topic) for topic in candidate_topics}
+    messages = build_topic_extraction_messages(
+        bill=bill,
+        bill_text=text,
+        candidate_topics=sorted(normalized_candidates),
+    )
+    response_text = call_openai_topic_extraction(
+        openai_config=openai_config,
+        messages=messages,
+    )
+    extracted_topics = parse_topic_extraction_response(response_text)
+    return [topic for topic in extracted_topics if topic.topic in normalized_candidates]
+
+
+def store_bill_topic_result(
+    *,
+    session: Session,
+    bill: Bill,
+    topics: Sequence[ExtractedBillTopic],
+    replace_existing: bool = True,
+) -> None:
+    """Store extracted topics for one bill."""
+    if replace_existing:
+        session.execute(delete(BillTopic).where(BillTopic.bill_id == bill.id))
+
+    for topic in topics:
+        session.add(
+            BillTopic(
+                bill_id=bill.id,
+                topic=normalize_topic_label(topic.topic),
+                support_position=topic.support_position,
+            )
+        )
+
+
+def create_select_bills_for_topic_extraction(
+    congress: int | None = None,
+    bill_ids: list[int] | None = None,
+    bill_text_ids: list[int] | None = None,
+    with_votes_only: bool = False,
+    force: bool = False,
+    limit: int | None = None,
+) -> Select[tuple[Bill]]:
+    """Select bill rows that have summarized bill_text rows for topic extraction."""
+    has_summary = (BillText.summary.is_not(None), BillText.summary != "")
+    summarized_text_filters: list[ColumnElement[bool]] = [
+        BillText.bill_id == Bill.id,
+        *has_summary,
+    ]
+    if with_votes_only:
+        summarized_text_filters.append(
+            exists(
+                select(VoteTextTarget.vote_id)
+                .join(
+                    VoteClassification,
+                    VoteClassification.vote_id == VoteTextTarget.vote_id,
+                )
+                .where(
+                    VoteTextTarget.voted_text_version_id == BillText.id,
+                    VoteClassification.subject_type == SubjectType.MEASURE,
+                    VoteClassification.vote_relationship
+                    == VoteRelationship.DIRECT_TEXT_VOTE,
+                    VoteClassification.is_direct_vote_on_legislative_text.is_(True),
+                    VoteClassification.is_substantive_policy_vote.is_(True),
+                    VoteClassification.is_special_rule.is_(False),
+                )
+            )
+        )
+    summarized_text_exists = exists(select(BillText.id).where(*summarized_text_filters))
+    stmt = (
+        select(Bill)
+        .where(summarized_text_exists)
+        .options(selectinload(Bill.bill_texts.and_(*summarized_text_filters[1:])))
+        .order_by(Bill.id)
+    )
+    if congress is not None:
+        stmt = stmt.where(Bill.congress == congress)
+    if bill_ids:
+        stmt = stmt.where(Bill.id.in_(bill_ids))
+    if bill_text_ids:
+        selected_text_exists = exists(
+            select(BillText.id).where(
+                BillText.bill_id == Bill.id,
+                BillText.id.in_(bill_text_ids),
+                *summarized_text_filters[1:],
+            )
+        )
+        stmt = stmt.where(selected_text_exists)
+    if not force:
+        stmt = stmt.where(
+            ~exists(select(BillTopic.id).where(BillTopic.bill_id == Bill.id))
+        )
+    if limit is not None:
+        stmt = stmt.limit(limit)
+    return stmt
+
+
+def collect_topic_extraction_diagnostics(
+    session: Session,
+    *,
+    congress: int | None = None,
+    bill_ids: list[int] | None = None,
+    bill_text_ids: list[int] | None = None,
+    with_votes_only: bool = False,
+    force: bool = False,
+    limit: int | None = None,
+) -> TopicExtractionDiagnostics:
+    """Count topic extraction inputs for explaining empty selections."""
+    bill_filters = []
+    bill_text_filters: list[ColumnElement[bool]] = []
+    if congress is not None:
+        bill_filters.append(Bill.congress == congress)
+    if bill_ids:
+        bill_filters.append(Bill.id.in_(bill_ids))
+        bill_text_filters.append(BillText.bill_id.in_(bill_ids))
+    if bill_text_ids:
+        bill_text_filters.append(BillText.id.in_(bill_text_ids))
+    if with_votes_only:
+        bill_text_filters.append(
+            exists(
+                select(VoteTextTarget.vote_id)
+                .join(
+                    VoteClassification,
+                    VoteClassification.vote_id == VoteTextTarget.vote_id,
+                )
+                .where(
+                    VoteTextTarget.voted_text_version_id == BillText.id,
+                    VoteClassification.subject_type == SubjectType.MEASURE,
+                    VoteClassification.vote_relationship
+                    == VoteRelationship.DIRECT_TEXT_VOTE,
+                    VoteClassification.is_direct_vote_on_legislative_text.is_(True),
+                    VoteClassification.is_substantive_policy_vote.is_(True),
+                    VoteClassification.is_special_rule.is_(False),
+                )
+            )
+        )
+
+    has_summary = (BillText.summary.is_not(None), BillText.summary != "")
+    summary_filters = [*bill_text_filters, *has_summary]
+
+    bills_with_summaries = session.scalar(
+        select(func.count(func.distinct(Bill.id)))
+        .select_from(Bill)
+        .join(BillText, BillText.bill_id == Bill.id)
+        .where(*bill_filters, *summary_filters)
+    )
+    selected_bills = session.scalar(
+        select(func.count()).select_from(
+            create_select_bills_for_topic_extraction(
+                congress=congress,
+                bill_ids=bill_ids,
+                bill_text_ids=bill_text_ids,
+                with_votes_only=with_votes_only,
+                force=force,
+                limit=limit,
+            ).subquery()
+        )
+    )
+
+    return TopicExtractionDiagnostics(
+        bill_rows=session.scalar(select(func.count(Bill.id)).where(*bill_filters)) or 0,
+        bill_text_rows=_count_bill_texts(
+            session,
+            bill_filters=bill_filters,
+            bill_text_filters=bill_text_filters,
+        ),
+        summarized_bill_text_rows=_count_bill_texts(
+            session,
+            bill_filters=bill_filters,
+            bill_text_filters=summary_filters,
+        ),
+        bills_with_summaries=bills_with_summaries or 0,
+        bill_topic_rows=session.scalar(select(func.count(BillTopic.id))) or 0,
+        selected_bills=selected_bills or 0,
+    )
+
+
+def _load_json_response(response_text: str) -> dict[str, Any]:
+    text = response_text.strip()
+    fenced = re.fullmatch(r"```(?:json)?\s*(.*?)\s*```", text, flags=re.DOTALL)
+    if fenced:
+        text = fenced.group(1).strip()
+
+    try:
+        payload = json.loads(text)
+    except json.JSONDecodeError as exc:
+        msg = f"Topic extraction response is not valid JSON: {exc}"
+        raise TopicExtractionError(msg) from exc
+    if not isinstance(payload, dict):
+        msg = "Topic extraction response must be a JSON object"
+        raise TopicExtractionError(msg)
+    return payload
+
+
+def _parse_confidence(raw: Any) -> float | None:
+    if raw is None:
+        return None
+    try:
+        return float(raw)
+    except (TypeError, ValueError) as exc:
+        msg = f"Invalid confidence: {raw!r}"
+        raise TopicExtractionError(msg) from exc
+
+
+def _confidence_rank(topic: ExtractedBillTopic) -> tuple[int, float]:
+    if topic.confidence is None:
+        return (0, 0.0)
+    return (1, topic.confidence)
+
+
+def _extract_topic_label(item: dict[str, Any]) -> str:
+    raw_topic = item.get("topic")
+    if isinstance(raw_topic, str):
+        return raw_topic
+    if isinstance(raw_topic, dict):
+        for key in ("topic", "label", "name", "title"):
+            value = raw_topic.get(key)
+            if isinstance(value, str):
+                return value
+
+    msg = "Topic extraction response topic must be a string"
+    raise TopicExtractionError(msg)
+
+
+def _count_bill_texts(
+    session: Session,
+    *,
+    bill_filters: Sequence[ColumnElement[bool]],
+    bill_text_filters: Sequence[ColumnElement[bool]],
+) -> int:
+    stmt = select(func.count(BillText.id))
+    if bill_filters:
+        stmt = stmt.join(Bill, Bill.id == BillText.bill_id).where(*bill_filters)
+    return session.scalar(stmt.where(*bill_text_filters)) or 0
+
+
+def main(
+    topics_path: Annotated[
+        Path, typer.Option(help="Path to congressional issue topic JSON.")
+    ] = DEFAULT_TOPICS_PATH,
+    congress: Annotated[
+        int | None, typer.Option(help="Only process one Congress.")
+    ] = None,
+    bill_ids: Annotated[
+        list[int] | None,
+        typer.Option(
+            "--bill-id",
+            help="Only process one internal bill.id. Repeat for multiple bills.",
+        ),
+    ] = None,
+    bill_text_ids: Annotated[
+        list[int] | None,
+        typer.Option(
+            "--bill-text-id",
+            help="Only process one internal bill_text.id. Repeat for multiple rows.",
+        ),
+    ] = None,
+    with_votes_only: Annotated[
+        bool,
+        typer.Option(
+            "--with-votes-only",
+            help="Only process summarized bill_text rows linked to at least one vote.",
+        ),
+    ] = True,
+    limit: Annotated[int | None, typer.Option(help="Maximum rows to process.")] = None,
+    force: Annotated[
+        bool,
+        typer.Option(help="Regenerate topics for bills that already have topics."),
+    ] = False,
+    dry_run: Annotated[
+        bool,
+        typer.Option(help="Select bills and print diagnostics without calling OpenAI."),
+    ] = False,
+    diagnose: Annotated[
+        bool,
+        typer.Option(help="Log input-stage counts before processing."),
+    ] = False,
+    log_level: Annotated[str, typer.Option(help="Log level.")] = "INFO",
+) -> None:
+    """CLI entrypoint for generating and storing bill topics."""
+    logging.basicConfig(
+        level=log_level,
+        format="%(asctime)s %(levelname)s %(name)s: %(message)s",
+    )
+
+    topic_catalog = load_topic_catalog(topics_path)
+    logger.info(
+        "Loaded %d candidate topics from %s",
+        len(topic_catalog.candidate_topics),
+        topics_path,
+    )
+
+    engine = get_postgres_engine(name="DATA_SCIENCE_DEV")
+    with Session(engine) as session:
+        if diagnose or dry_run:
+            diagnostics = collect_topic_extraction_diagnostics(
+                session,
+                congress=congress,
+                bill_ids=bill_ids,
+                bill_text_ids=bill_text_ids,
+                with_votes_only=with_votes_only,
+                force=force,
+                limit=limit,
+            )
+            _log_topic_extraction_diagnostics(diagnostics)
+            if dry_run:
+                return
+
+        openai_config = get_openai_config()
+
+        stmt = create_select_bills_for_topic_extraction(
+            congress=congress,
+            bill_ids=bill_ids,
+            bill_text_ids=bill_text_ids,
+            with_votes_only=with_votes_only,
+            force=force,
+            limit=limit,
+        )
+        bills = session.scalars(stmt).all()
+        logger.info("Selected %d bills for topic extraction", len(bills))
+
+        written = 0
+        failed = 0
+        for index, bill in enumerate(bills, 1):
+            bill_text = _select_bill_text_for_topic_extraction(bill)
+            if bill_text is None:
+                logger.warning("Skipping bill id=%s: no usable summary", bill.id)
+                continue
+            summary = bill_text.summary.strip()
+
+            try:
+                extracted_topics = extract_topics_for_bill_text(
+                    openai_config=openai_config,
+                    bill=bill,
+                    text=summary,
+                    candidate_topics=topic_catalog.candidate_topics,
+                )
+            except (httpx.HTTPError, TopicExtractionError):
+                failed += 1
+                logger.exception(
+                    "Skipping bill id=%s after topic extraction failure", bill.id
+                )
+                continue
+
+            store_bill_topic_result(
+                session=session,
+                bill=bill,
+                topics=extracted_topics,
+                replace_existing=True,
+            )
+            written += 1
+            if index % 100 == 0:
+                session.commit()
+            logger.info(
+                "Stored %d topics for bill id=%s",
+                len(extracted_topics),
+                bill.id,
+            )
+
+        session.commit()
+        logger.info(
+            "Done: stored topic results for %d bills; failed %d bills",
+            written,
+            failed,
+        )
+
+
+def _log_topic_extraction_diagnostics(
+    diagnostics: TopicExtractionDiagnostics,
+) -> None:
+    logger.info(
+        "Topic extraction diagnostics: bill_rows=%d bill_text_rows=%d "
+        "summarized_bill_text_rows=%d bills_with_summaries=%d "
+        "bill_topic_rows=%d selected_bills=%d",
+        diagnostics.bill_rows,
+        diagnostics.bill_text_rows,
+        diagnostics.summarized_bill_text_rows,
+        diagnostics.bills_with_summaries,
+        diagnostics.bill_topic_rows,
+        diagnostics.selected_bills,
+    )
+    if diagnostics.bill_rows == 0:
+        logger.warning("No bills matched the topic extraction scope.")
+    elif diagnostics.bill_text_rows == 0:
+        logger.warning("No bill_text rows matched the topic extraction scope.")
+    elif diagnostics.summarized_bill_text_rows == 0:
+        logger.warning(
+            "No summarized bill_text rows matched the topic extraction scope. "
+            "Run pipelines.tools.summarize_bills first."
+        )
+    elif diagnostics.selected_bills == 0 and diagnostics.bill_topic_rows > 0:
+        logger.warning(
+            "No bills selected because matching bills already have topics. "
+            "Use --force to regenerate them."
+        )
+    elif diagnostics.selected_bills == 0:
+        logger.warning("No bills selected for topic extraction.")
+
+
+if __name__ == "__main__":
+    typer.run(main)

pipelines/jobs/ingest_congress.py

@@ -12,16 +12,36 @@ Usage:
 from __future__ import annotations
 
 import logging
+from dataclasses import dataclass
+from datetime import date
 from pathlib import Path  # noqa: TC003 needed at runtime for typer CLI argument
 from typing import TYPE_CHECKING, Annotated
 
 import orjson
 import typer
 import yaml
-from sqlalchemy import select
+from sqlalchemy import func, select
 from sqlalchemy.orm import Session
 
-from pipelines.pipelines.common import configure_logger
+from pipelines.common import configure_logger
+from pipelines.pipelines.jobs.congress_vote_context import (
+    build_billstatus_text_version_index,
+    build_vote_action_matches,
+    classify_votes,
+    coerce_raw_ref,
+    derive_session_number,
+    finish_ingest_run,
+    filter_context_supported_congress_dirs,
+    ingest_bill_status_context as rebuild_bill_status_context,
+    parse_date_like,
+    parse_vote_source_url,
+    parsed_vote_datetime,
+    register_source_artifact,
+    require_billstatus_artifacts,
+    resolve_vote_position_meanings,
+    resolve_vote_text_targets,
+    start_ingest_run,
+)
 from pipelines.orm.common import get_postgres_engine
 from pipelines.orm.data_science_dev.congress import (
     Bill,
@@ -29,17 +49,23 @@ from pipelines.orm.data_science_dev.congress import (
     Legislator,
     LegislatorSocialMedia,
     Vote,
+    VoteActionMatch,
+    VoteClassification,
+    VoteContextAudit,
     VoteRecord,
 )
+from pipelines.parallelize import parallelize_thread
 
 if TYPE_CHECKING:
-    from collections.abc import Iterator
+    from collections.abc import Iterator, Sequence
 
     from sqlalchemy.engine import Engine
 
 logger = logging.getLogger(__name__)
 
 BATCH_SIZE = 10_000
+PARALLEL_FILE_CHUNK_SIZE = 1_000
+PARALLEL_PROGRESS_TRACKER = 250
 
 app = typer.Typer(help="Ingest unitedstates/congress data into data_science_dev.")
 
@@ -58,7 +84,12 @@ def main(
     only: Annotated[
         str | None,
         typer.Option(
-            help="Only run a specific step: legislators, social-media, bills, votes, bill-text"
+            help=(
+                "Only run a specific step: legislators, legislators-social-media, "
+                "bills, bill-text, votes, bill-status-context, vote-context-match, "
+                "vote-context-classify, vote-text-resolve, vote-polarity-resolve, "
+                "vote-context-diagnostics"
+            )
         ),
     ] = None,
 ) -> None:
@@ -87,12 +118,32 @@ def main(
 
     logger.info("Found %d congress directories to process", len(congress_dirs))
 
+    with Session(engine) as session:
+        ingest_run = start_ingest_run(
+            session,
+            source_snapshot_label=str(parent_dir),
+            repo_root=Path(__file__).resolve().parent.parent,
+        )
+        ingest_run_id = ingest_run.id
+
     steps: dict[str, tuple] = {
         "legislators": (ingest_legislators, (engine, legislators_dir)),
         "legislators-social-media": (ingest_social_media, (engine, legislators_dir)),
         "bills": (ingest_bills, (engine, congress_dirs)),
-        "votes": (ingest_votes, (engine, congress_dirs)),
-        "bill-text": (ingest_bill_text, (engine, congress_dirs)),
+        "bill-text": (ingest_bill_text, (engine, congress_dirs, ingest_run_id)),
+        "votes": (ingest_votes, (engine, congress_dirs, ingest_run_id)),
+        "bill-status-context": (
+            ingest_bill_status_context_step,
+            (engine, congress_dirs, ingest_run_id),
+        ),
+        "vote-context-match": (vote_context_match_step, (engine, congress_dirs)),
+        "vote-context-classify": (vote_context_classify_step, (engine, congress_dirs)),
+        "vote-text-resolve": (vote_text_resolve_step, (engine, congress_dirs)),
+        "vote-polarity-resolve": (vote_polarity_resolve_step, (engine, congress_dirs)),
+        "vote-context-diagnostics": (
+            vote_context_diagnostics_step,
+            (engine, congress_dirs),
+        ),
     }
 
     if only:
@@ -103,11 +154,18 @@ def main(
             raise typer.Exit(code=1)
         steps = {only: steps[only]}
 
+    try:
         for step_name, (step_func, step_args) in steps.items():
             logger.info("=== Starting step: %s ===", step_name)
             step_func(*step_args)
             logger.info("=== Finished step: %s ===", step_name)
+    except Exception:
+        with Session(engine) as session:
+            finish_ingest_run(session, ingest_run_id, status="failed")
+        raise
 
+    with Session(engine) as session:
+        finish_ingest_run(session, ingest_run_id, status="completed")
     logger.info("ingest-congress done")
 
 
@@ -133,6 +191,56 @@ def _flush_batch(session: Session, batch: list[object], label: str) -> int:
     return count
 
 
+@dataclass(frozen=True)
+class LoadedJsonFile:
+    path: Path
+    data: dict | None
+
+
+@dataclass(frozen=True)
+class PreparedBillTextInput:
+    bill_id: int
+    bill_key: tuple[int, str, int]
+    version_code: str
+    text_content: str | None
+    version_data: dict | None
+    source_file: Path | None
+    billstatus_version: object | None
+
+
+def _chunked[T](items: Sequence[T], chunk_size: int) -> Iterator[Sequence[T]]:
+    """Yield fixed-size slices from a sequence."""
+    for start in range(0, len(items), chunk_size):
+        yield items[start : start + chunk_size]
+
+
+def _load_json_file(*, path: Path) -> LoadedJsonFile:
+    """Read one JSON file off disk for later serial DB processing."""
+    return LoadedJsonFile(path=path, data=_read_json(path))
+
+
+def _prepare_bill_text_input(
+    *,
+    bill_id: int,
+    bill_key: tuple[int, str, int],
+    version_dir: Path,
+    billstatus_version: object | None,
+) -> PreparedBillTextInput:
+    """Load one bill-text directory off disk for later serial DB processing."""
+    source_file = version_dir / "data.json"
+    if not source_file.exists():
+        source_file = _find_text_source_file(version_dir)
+    return PreparedBillTextInput(
+        bill_id=bill_id,
+        bill_key=bill_key,
+        version_code=version_dir.name,
+        text_content=_read_bill_text(version_dir),
+        version_data=_read_json(version_dir / "data.json"),
+        source_file=source_file if source_file and source_file.exists() else None,
+        billstatus_version=billstatus_version,
+    )
+
+
 # ---------------------------------------------------------------------------
 # Legislators — loaded from congress-legislators YAML files
 # ---------------------------------------------------------------------------
@@ -341,12 +449,22 @@ def ingest_bills(engine: Engine, congress_dirs: list[Path]) -> None:
             bills_dir = congress_dir / "bills"
             if not bills_dir.is_dir():
                 continue
-            logger.info("Scanning bills from %s", congress_dir.name)
-            for bill_file in bills_dir.rglob("data.json"):
-                data = _read_json(bill_file)
-                if data is None:
+            bill_files = sorted(bills_dir.rglob("data.json"))
+            logger.info(
+                "Scanning %d bill files from %s",
+                len(bill_files),
+                congress_dir.name,
+            )
+            for chunk in _chunked(bill_files, PARALLEL_FILE_CHUNK_SIZE):
+                results = parallelize_thread(
+                    _load_json_file,
+                    [{"path": bill_file} for bill_file in chunk],
+                    progress_tracker=PARALLEL_PROGRESS_TRACKER,
+                )
+                for loaded in results.results:
+                    if loaded.data is None:
                         continue
-                bill = _parse_bill(data, existing_bills)
+                    bill = _parse_bill(loaded.data, existing_bills)
                     if bill is not None:
                         batch.append(bill)
                         if len(batch) >= BATCH_SIZE:
@@ -392,15 +510,17 @@ def _parse_bill(data: dict, existing_bills: set[tuple[int, str, int]]) -> Bill |
 # ---------------------------------------------------------------------------
 
 
-def ingest_votes(engine: Engine, congress_dirs: list[Path]) -> None:
-    """Load vote data.json files with their vote records."""
-    with Session(engine) as session:
-        legislator_map = _build_legislator_map(session)
+def ingest_votes(
+    engine: Engine,
+    congress_dirs: list[Path],
+    ingest_run_id: int | None,
+) -> None:
+    """Load raw vote data and member positions without any guessed text linkage."""
+    legislator_map = _build_legislator_map_for_engine(engine)
     logger.info("Loaded %d legislators into lookup map", len(legislator_map))
-        bill_map = _build_bill_map(session)
-        logger.info("Loaded %d bills into lookup map", len(bill_map))
+    with Session(engine) as session:
         existing_votes = {
-            (vote.congress, vote.chamber, vote.session, vote.number)
+            (vote.congress, vote.chamber, vote.session_number, vote.roll_number)
             for vote in session.scalars(select(Vote)).all()
         }
         logger.info("Found %d existing votes in DB", len(existing_votes))
@@ -411,12 +531,39 @@ def ingest_votes(engine: Engine, congress_dirs: list[Path]) -> None:
             votes_dir = congress_dir / "votes"
             if not votes_dir.is_dir():
                 continue
-            logger.info("Scanning votes from %s", congress_dir.name)
-            for vote_file in votes_dir.rglob("data.json"):
-                data = _read_json(vote_file)
-                if data is None:
+            vote_files = sorted(votes_dir.rglob("data.json"))
+            logger.info(
+                "Scanning %d vote files from %s",
+                len(vote_files),
+                congress_dir.name,
+            )
+            for chunk in _chunked(vote_files, PARALLEL_FILE_CHUNK_SIZE):
+                results = parallelize_thread(
+                    _load_json_file,
+                    [{"path": vote_file} for vote_file in chunk],
+                    progress_tracker=PARALLEL_PROGRESS_TRACKER,
+                )
+                for loaded in results.results:
+                    if loaded.data is None:
                         continue
-                vote = _parse_vote(data, legislator_map, bill_map, existing_votes)
+                    chamber = normalize_vote_chamber(loaded.data.get("chamber"))
+                    if chamber is None:
+                        continue
+                    artifact = register_source_artifact(
+                        session,
+                        path=loaded.path,
+                        source_kind="vote_json",
+                        congress=int(loaded.data.get("congress", congress_dir.name)),
+                        chamber=chamber,
+                        ingest_run_id=ingest_run_id,
+                        source_url=parse_vote_source_url(loaded.data),
+                    )
+                    vote = _parse_vote(
+                        loaded.data,
+                        legislator_map,
+                        existing_votes,
+                        raw_vote_source_artifact_id=artifact.id,
+                    )
                     if vote is not None:
                         batch.append(vote)
                         if len(batch) >= BATCH_SIZE:
@@ -442,11 +589,24 @@ def _build_bill_map(session: Session) -> dict[tuple[int, str, int], int]:
     }
 
 
+def _build_legislator_map_for_engine(engine: Engine) -> dict[str, int]:
+    """Build the legislator lookup in a short-lived read session."""
+    with Session(engine) as session:
+        return _build_legislator_map(session)
+
+
+def _build_bill_map_for_engine(engine: Engine) -> dict[tuple[int, str, int], int]:
+    """Build the bill lookup in a short-lived read session."""
+    with Session(engine) as session:
+        return _build_bill_map(session)
+
+
 def _parse_vote(
     data: dict,
     legislator_map: dict[str, int],
-    bill_map: dict[tuple[int, str, int], int],
     existing_votes: set[tuple[int, str, int, int]],
+    *,
+    raw_vote_source_artifact_id: int | None,
 ) -> Vote | None:
     """Parse a vote data.json dict into a Vote ORM object with records."""
     raw_congress = data.get("congress")
@@ -462,30 +622,23 @@ def _parse_vote(
         return None
 
     raw_session = data.get("session")
-    if raw_session is None:
-        return None
-
     congress = int(raw_congress)
     number = int(raw_number)
+    parsed_vote_date = _coerce_iso_date(vote_date)
+    session_year = parsed_vote_date.year
+    if raw_session is None:
+        session_number = derive_session_number(congress, session_year)
+    else:
         session_number = int(raw_session)
 
     # Normalize chamber from "h"/"s" to "House"/"Senate"
-    chamber_normalized = {"h": "House", "s": "Senate"}.get(chamber, chamber)
+    chamber_normalized = normalize_vote_chamber(chamber)
+    if chamber_normalized is None:
+        return None
 
     if (congress, chamber_normalized, session_number, number) in existing_votes:
         return None
 
-    # Resolve linked bill
-    bill_id = None
-    bill_ref = data.get("bill")
-    if bill_ref:
-        bill_key = (
-            int(bill_ref.get("congress", congress)),
-            bill_ref.get("type"),
-            int(bill_ref.get("number", 0)),
-        )
-        bill_id = bill_map.get(bill_key)
-
     raw_votes = data.get("votes", {})
     vote_counts = _count_votes(raw_votes)
     vote_records = _build_vote_records(raw_votes, legislator_map)
@@ -493,14 +646,21 @@ def _parse_vote(
     return Vote(
         congress=congress,
         chamber=chamber_normalized,
-        session=session_number,
-        number=number,
+        session_year=session_year,
+        session_number=session_number,
+        roll_number=number,
         vote_type=data.get("type"),
         question=data.get("question"),
         result=data.get("result"),
         result_text=data.get("result_text"),
-        vote_date=vote_date[:10] if isinstance(vote_date, str) else vote_date,
-        bill_id=bill_id,
+        vote_date=parsed_vote_date,
+        vote_datetime=parsed_vote_datetime(data),
+        raw_vote_source_url=parse_vote_source_url(data),
+        raw_bill_ref=coerce_raw_ref(data.get("bill")),
+        raw_amendment_ref=coerce_raw_ref(data.get("amendment")),
+        raw_nomination_ref=coerce_raw_ref(data.get("nomination")),
+        raw_treaty_ref=coerce_raw_ref(data.get("treaty")),
+        raw_vote_source_artifact_id=raw_vote_source_artifact_id,
         vote_records=vote_records,
         **vote_counts,
     )
@@ -554,16 +714,36 @@ def _build_vote_records(
     return records
 
 
+def normalize_vote_chamber(raw_chamber: str | None) -> str | None:
+    """Normalize vote JSON chamber codes."""
+    if raw_chamber is None:
+        return None
+    value = raw_chamber.strip().lower()
+    return {"h": "House", "house": "House", "s": "Senate", "senate": "Senate"}.get(
+        value,
+        raw_chamber,
+    )
+
+
 # ---------------------------------------------------------------------------
 # Bill Text
 # ---------------------------------------------------------------------------
 
 
-def ingest_bill_text(engine: Engine, congress_dirs: list[Path]) -> None:
-    """Load bill text from text-versions directories."""
+def ingest_bill_text(
+    engine: Engine,
+    congress_dirs: list[Path],
+    ingest_run_id: int | None,
+) -> None:
+    """Load bill text from text-versions directories with official metadata when available."""
+    bill_map = _build_bill_map_for_engine(engine)
     with Session(engine) as session:
-        bill_map = _build_bill_map(session)
         logger.info("Loaded %d bills into lookup map", len(bill_map))
+        billstatus_text_index = build_billstatus_text_version_index(congress_dirs)
+        logger.info(
+            "Loaded bill status text metadata for %d bills",
+            len(billstatus_text_index),
+        )
         existing_bill_texts = {
             (bill_text.bill_id, bill_text.version_code)
             for bill_text in session.scalars(select(BillText)).all()
@@ -577,7 +757,12 @@ def ingest_bill_text(engine: Engine, congress_dirs: list[Path]) -> None:
         for congress_dir in congress_dirs:
             logger.info("Scanning bill texts from %s", congress_dir.name)
             for bill_text in _iter_bill_texts(
-                congress_dir, bill_map, existing_bill_texts
+                session,
+                congress_dir,
+                bill_map,
+                existing_bill_texts,
+                billstatus_text_index,
+                ingest_run_id,
             ):
                 batch.append(bill_text)
                 if len(batch) >= BATCH_SIZE:
@@ -588,15 +773,19 @@ def ingest_bill_text(engine: Engine, congress_dirs: list[Path]) -> None:
 
 
 def _iter_bill_texts(
+    session: Session,
     congress_dir: Path,
     bill_map: dict[tuple[int, str, int], int],
     existing_bill_texts: set[tuple[int, str]],
+    billstatus_text_index: dict[tuple[int, str, int], dict[str, object]],
+    ingest_run_id: int | None,
 ) -> Iterator[BillText]:
     """Yield BillText objects for a single congress directory, skipping existing."""
     bills_dir = congress_dir / "bills"
     if not bills_dir.is_dir():
         return
 
+    tasks: list[dict[str, object]] = []
     for bill_dir in bills_dir.rglob("text-versions"):
         if not bill_dir.is_dir():
             continue
@@ -612,14 +801,52 @@ def _iter_bill_texts(
                 continue
             if (bill_id, version_dir.name) in existing_bill_texts:
                 continue
-            text_content = _read_bill_text(version_dir)
-            version_data = _read_json(version_dir / "data.json")
+            tasks.append(
+                {
+                    "bill_id": bill_id,
+                    "bill_key": bill_key,
+                    "version_dir": version_dir,
+                    "billstatus_version": billstatus_text_index.get(bill_key, {}).get(
+                        version_dir.name.lower()
+                    ),
+                }
+            )
+
+    for chunk in _chunked(tasks, PARALLEL_FILE_CHUNK_SIZE):
+        results = parallelize_thread(
+            _prepare_bill_text_input,
+            list(chunk),
+            progress_tracker=PARALLEL_PROGRESS_TRACKER,
+        )
+        for prepared in results.results:
+            source_artifact_id = None
+            if prepared.source_file is not None:
+                artifact = register_source_artifact(
+                    session,
+                    path=prepared.source_file,
+                    source_kind="bill_text_artifact",
+                    congress=prepared.bill_key[0],
+                    chamber=None,
+                    ingest_run_id=ingest_run_id,
+                    source_url=None,
+                )
+                source_artifact_id = artifact.id
+            metadata = _merge_bill_text_metadata(
+                version_code=prepared.version_code,
+                version_data=prepared.version_data,
+                billstatus_version=prepared.billstatus_version,
+            )
             yield BillText(
-                bill_id=bill_id,
-                version_code=version_dir.name,
-                version_name=version_data.get("version_name") if version_data else None,
-                date=version_data.get("issued_on") if version_data else None,
-                text_content=text_content,
+                bill_id=prepared.bill_id,
+                version_code=prepared.version_code,
+                version_name=metadata["version_name"],
+                date=metadata["date"],
+                text_content=prepared.text_content,
+                source_datetime_raw=metadata["source_datetime_raw"],
+                text_url_xml=metadata["text_url_xml"],
+                text_url_pdf=metadata["text_url_pdf"],
+                text_url_html=metadata["text_url_html"],
+                source_artifact_id=source_artifact_id,
             )
 
 
@@ -651,6 +878,192 @@ def _read_bill_text(version_dir: Path) -> str | None:
     return None
 
 
+def _find_text_source_file(version_dir: Path) -> Path | None:
+    """Locate one representative local file for the bill text artifact manifest."""
+    for extension in ("txt", "htm", "html", "xml"):
+        candidates = list(version_dir.glob(f"document.{extension}"))
+        if not candidates:
+            candidates = list(version_dir.glob(f"*.{extension}"))
+        if candidates:
+            return candidates[0]
+    return None
+
+
+def _merge_bill_text_metadata(
+    *,
+    version_code: str,
+    version_data: dict | None,
+    billstatus_version: object | None,
+) -> dict[str, object | None]:
+    """Merge unitedstates/congress text-version metadata with official billstatus metadata."""
+    version_name = None
+    issued_on = None
+    source_datetime_raw = None
+    text_url_xml = None
+    text_url_pdf = None
+    text_url_html = None
+
+    if version_data:
+        version_name = version_data.get("version_name")
+        issued_on = parse_date_like(version_data.get("issued_on"))
+        urls = version_data.get("urls")
+        if isinstance(urls, dict):
+            text_url_xml = urls.get("xml") or urls.get("formatted_xml")
+            text_url_pdf = urls.get("pdf")
+            text_url_html = urls.get("html") or urls.get("formatted_text")
+
+    if billstatus_version is not None:
+        version_name = getattr(billstatus_version, "version_name", None) or version_name
+        issued_on = getattr(billstatus_version, "version_date", None) or issued_on
+        source_datetime_raw = (
+            getattr(billstatus_version, "source_datetime_raw", None) or source_datetime_raw
+        )
+        text_url_xml = getattr(billstatus_version, "text_url_xml", None) or text_url_xml
+        text_url_pdf = getattr(billstatus_version, "text_url_pdf", None) or text_url_pdf
+        text_url_html = getattr(billstatus_version, "text_url_html", None) or text_url_html
+
+    return {
+        "version_code": version_code,
+        "version_name": version_name,
+        "date": issued_on,
+        "source_datetime_raw": source_datetime_raw,
+        "text_url_xml": text_url_xml,
+        "text_url_pdf": text_url_pdf,
+        "text_url_html": text_url_html,
+    }
+
+
+def _coerce_iso_date(value: str | date) -> date:
+    """Normalize YYYY-MM-DD strings from the source data into date objects."""
+    if isinstance(value, date):
+        return value
+    return date.fromisoformat(value[:10])
+
+
+def ingest_bill_status_context_step(
+    engine: Engine,
+    congress_dirs: list[Path],
+    ingest_run_id: int | None,
+) -> None:
+    """Rebuild official bill/amendment context from offline artifacts."""
+    supported_congress_dirs = filter_context_supported_congress_dirs(congress_dirs)
+    if not supported_congress_dirs:
+        logger.info("No congress directories support offline BILLSTATUS context; skipping.")
+        return
+    require_billstatus_artifacts(supported_congress_dirs)
+    bill_map = _build_bill_map_for_engine(engine)
+    with Session(engine) as session:
+        rebuild_bill_status_context(
+            session,
+            congress_dirs=supported_congress_dirs,
+            bill_map=bill_map,
+            ingest_run_id=ingest_run_id,
+        )
+
+
+def vote_context_match_step(engine: Engine, congress_dirs: list[Path]) -> None:
+    """Persist canonical vote->action matches from recorded vote tuples."""
+    supported_congress_dirs = filter_context_supported_congress_dirs(congress_dirs)
+    if not supported_congress_dirs:
+        logger.info("No congress directories support offline BILLSTATUS context; skipping.")
+        return
+    require_billstatus_artifacts(supported_congress_dirs)
+    congress_numbers = [int(path.name) for path in supported_congress_dirs]
+    with Session(engine) as session:
+        build_vote_action_matches(session, congress_numbers=congress_numbers)
+
+
+def vote_context_classify_step(engine: Engine, congress_dirs: list[Path]) -> None:
+    """Classify votes and measure relationships after action matching."""
+    supported_congress_dirs = filter_context_supported_congress_dirs(congress_dirs)
+    if not supported_congress_dirs:
+        logger.info("No congress directories support offline BILLSTATUS context; skipping.")
+        return
+    require_billstatus_artifacts(supported_congress_dirs)
+    congress_numbers = [int(path.name) for path in supported_congress_dirs]
+    bill_map = _build_bill_map_for_engine(engine)
+    with Session(engine) as session:
+        classify_votes(
+            session,
+            congress_numbers=congress_numbers,
+            bill_map=bill_map,
+        )
+
+
+def vote_text_resolve_step(engine: Engine, congress_dirs: list[Path]) -> None:
+    """Resolve official text targets for direct legislative text votes."""
+    supported_congress_dirs = filter_context_supported_congress_dirs(congress_dirs)
+    if not supported_congress_dirs:
+        logger.info("No congress directories support offline BILLSTATUS context; skipping.")
+        return
+    require_billstatus_artifacts(supported_congress_dirs)
+    congress_numbers = [int(path.name) for path in supported_congress_dirs]
+    with Session(engine) as session:
+        resolve_vote_text_targets(session, congress_numbers=congress_numbers)
+
+
+def vote_polarity_resolve_step(engine: Engine, congress_dirs: list[Path]) -> None:
+    """Resolve position polarity/effect metadata for all classified votes."""
+    supported_congress_dirs = filter_context_supported_congress_dirs(congress_dirs)
+    if not supported_congress_dirs:
+        logger.info("No congress directories support offline BILLSTATUS context; skipping.")
+        return
+    require_billstatus_artifacts(supported_congress_dirs)
+    congress_numbers = [int(path.name) for path in supported_congress_dirs]
+    with Session(engine) as session:
+        resolve_vote_position_meanings(session, congress_numbers=congress_numbers)
+
+
+def vote_context_diagnostics_step(engine: Engine, congress_dirs: list[Path]) -> None:
+    """Log aggregate vote-context coverage and unresolved audit rows."""
+    supported_congress_dirs = filter_context_supported_congress_dirs(congress_dirs)
+    if not supported_congress_dirs:
+        logger.info("No congress directories support offline BILLSTATUS context; skipping.")
+        return
+    congress_numbers = [int(path.name) for path in supported_congress_dirs]
+    with Session(engine) as session:
+        classification_counts = session.execute(
+            select(
+                VoteClassification.subject_type,
+                VoteClassification.vote_relationship,
+                func.count(VoteClassification.vote_id),
+            )
+            .join(Vote, Vote.id == VoteClassification.vote_id)
+            .where(Vote.congress.in_(congress_numbers))
+            .group_by(
+                VoteClassification.subject_type,
+                VoteClassification.vote_relationship,
+            )
+            .order_by(
+                VoteClassification.subject_type,
+                VoteClassification.vote_relationship,
+            )
+        ).all()
+        match_counts = session.execute(
+            select(VoteActionMatch.match_method, func.count(VoteActionMatch.id))
+            .join(Vote, Vote.id == VoteActionMatch.vote_id)
+            .where(Vote.congress.in_(congress_numbers), VoteActionMatch.is_selected.is_(True))
+            .group_by(VoteActionMatch.match_method)
+            .order_by(VoteActionMatch.match_method)
+        ).all()
+        unresolved_audits = session.scalar(
+            select(func.count(VoteContextAudit.id))
+            .join(Vote, Vote.id == VoteContextAudit.vote_id)
+            .where(Vote.congress.in_(congress_numbers), VoteContextAudit.severity.in_(("warning", "error")))
+        )
+
+    for subject_type, vote_relationship, count in classification_counts:
+        logger.info(
+            "vote-context subject=%s relationship=%s count=%d",
+            subject_type,
+            vote_relationship,
+            count,
+        )
+    for match_method, count in match_counts:
+        logger.info("vote-context selected_match method=%s count=%d", match_method, count)
+    logger.info("vote-context unresolved audit rows=%d", unresolved_audits or 0)
+
+
 # ---------------------------------------------------------------------------
 # Helpers
 # ---------------------------------------------------------------------------

pipelines/jobs/summarize_bills.py

@@ -5,33 +5,41 @@ from __future__ import annotations
 import logging
 import tomllib
 from os import getenv
-from pathlib import Path
 from typing import Annotated, Any
 
 import httpx
 import typer
-from sqlalchemy import Select, or_, select
+from sqlalchemy import Select, exists, or_, select
 from sqlalchemy.orm import Session, selectinload
 
+from tiktoken import get_encoding
+
+
 from pipelines.config import get_config_dir
 from pipelines.orm.common import get_postgres_engine
-from pipelines.orm.data_science_dev.congress import Bill, BillText
+from pipelines.orm.data_science_dev.congress import (
+    Bill,
+    BillText,
+    SubjectType,
+    VoteClassification,
+    VoteRelationship,
+    VoteTextTarget,
+)
 from pipelines.tools.bill_token_compression import compress_bill_text
 
 logger = logging.getLogger(__name__)
 
+OPENAI_CHAT_COMPLETIONS_URL = "https://api.openai.com/v1/chat/completions"
 OPENAI_PROJECT_ID = "proj_fQBPEXFgnS87Fk6wZwploFwE"
-
-
-
-def _find_prompts_path() -> Path:
-    return get_config_dir() / "prompts" / "summarization_prompts.toml"
+REQUEST_TIMEOUT_SECONDS = 60
 
 
 def load_summarization_prompts(
     section: str = "summarization",
 ) -> dict[str, str]:
-    return tomllib.loads(_find_prompts_path().read_text())[section]
+    summarization_prompts = get_config_dir() / "prompts" / "summarization_prompts.toml"
+
+    return tomllib.loads(summarization_prompts.read_text())[section]
 
 
 class BillSummaryError(RuntimeError):
@@ -50,7 +58,7 @@ def call_openai_summary(
         raise BillSummaryError(msg)
 
     response = httpx.post(
-        "https://api.openai.com/v1/chat/completions",
+        OPENAI_CHAT_COMPLETIONS_URL,
         headers={
             "Authorization": f"Bearer {api_key}",
             "OpenAI-Project": OPENAI_PROJECT_ID,
@@ -60,8 +68,9 @@ def call_openai_summary(
             "model": model,
             "messages": messages,
         },
-        timeout=60,
+        timeout=REQUEST_TIMEOUT_SECONDS,
     )
+    logger.info(f"{response.text=}")
     response.raise_for_status()
     return extract_message_content(response.json())
 
@@ -69,53 +78,52 @@ def call_openai_summary(
 def build_bill_summary_messages(
     *,
     bill_text: BillText,
+    summarization_prompts: dict[str, str],
 ) -> list[dict[str, str]]:
-    """Build the GPT prompt messages for one bill text row."""
+    """Build the GPT prompt messages plus compressed text and user prompt."""
     if not bill_text.text_content:
         msg = f"bill_text id={bill_text.id} has no text_content"
         raise BillSummaryError(msg)
 
-    bill = bill_text.bill
     compressed_text = compress_bill_text(bill_text.text_content)
     if not compressed_text:
         msg = f"bill_text id={bill_text.id} has no summarizable text_content"
         raise BillSummaryError(msg)
 
-    metadata = "\n".join(
-        (
-            f"Congress: {bill.congress}",
-            f"Bill: {bill.bill_type} {bill.number}",
-            f"Title: {bill.title_short or bill.title or bill.official_title or ''}",
-            f"Top subject term: {bill.subjects_top_term or ''}",
-            f"Text version: {bill_text.version_code}"
-            + (f" ({bill_text.version_name})" if bill_text.version_name else ""),
-        )
-    )
-    summarization_prompts = load_summarization_prompts()
-    user_prompt = "\n\n".join(
-        (
-            "BILL METADATA:",
-            metadata,
-            summarization_prompts["user_template"].format(text_content=compressed_text),
-        )
+    user_prompt = summarization_prompts["user_template"].format(
+        text_content=compressed_text
     )
 
-    return [
+    user_prompt_tokens = len(get_encoding("o200k_base").encode(user_prompt))
+    logger.info(f"{user_prompt_tokens=}")
+
+    messages = [
         {"role": "system", "content": summarization_prompts["system_prompt"]},
         {
             "role": "user",
             "content": user_prompt,
         },
     ]
+    return messages, user_prompt_tokens
 
 
 def summarize_bill_text(
     *,
     model: str,
     bill_text: BillText,
+    summarization_prompts: dict[str, str],
 ) -> str:
     """Generate and return a summary for one bill_text row."""
-    messages = build_bill_summary_messages(bill_text=bill_text)
+    messages, user_prompt_tokens = build_bill_summary_messages(
+        bill_text=bill_text,
+        summarization_prompts=summarization_prompts,
+    )
+    # This may only be for gpt-5.4 mini I need to read the docs
+    if user_prompt_tokens > 272000:
+        msg = f"Compressed bill_text id={bill_text.id} is too long for summarization ({user_prompt_tokens} tokens)"
+        logger.warning(msg)
+        return None
+
     summary = call_openai_summary(
         model=model,
         messages=messages,
@@ -135,7 +143,7 @@ def store_bill_summary_result(
     """Store a generated summary and the prompt/model metadata that produced it."""
     bill_text.summary = summary
     bill_text.summarization_model = model
-    bill_text.summarization_system_prompt_version = "v1"
+    bill_text.summarization_system_prompt_version = "v1.2"
     bill_text.summarization_user_prompt_version = "v1"
 
 
@@ -143,6 +151,7 @@ def create_select_bill_texts_for_summarization(
     congress: int | None = None,
     bill_ids: list[int] | None = None,
     bill_text_ids: list[int] | None = None,
+    with_votes_only: bool = False,
     force: bool = False,
     limit: int | None = None,
 ) -> Select:
@@ -160,6 +169,25 @@ def create_select_bill_texts_for_summarization(
         stmt = stmt.where(BillText.bill_id.in_(bill_ids))
     if bill_text_ids:
         stmt = stmt.where(BillText.id.in_(bill_text_ids))
+    if with_votes_only:
+        stmt = stmt.where(
+            exists(
+                select(VoteTextTarget.vote_id)
+                .join(
+                    VoteClassification,
+                    VoteClassification.vote_id == VoteTextTarget.vote_id,
+                )
+                .where(
+                    VoteTextTarget.voted_text_version_id == BillText.id,
+                    VoteClassification.subject_type == SubjectType.MEASURE,
+                    VoteClassification.vote_relationship
+                    == VoteRelationship.DIRECT_TEXT_VOTE,
+                    VoteClassification.is_direct_vote_on_legislative_text.is_(True),
+                    VoteClassification.is_substantive_policy_vote.is_(True),
+                    VoteClassification.is_special_rule.is_(False),
+                )
+            )
+        )
     if not force:
         stmt = stmt.where(or_(BillText.summary.is_(None), BillText.summary == ""))
     if limit is not None:
@@ -208,6 +236,13 @@ def main(
             help="Only process one internal bill_text.id. Repeat for multiple rows.",
         ),
     ] = None,
+    with_votes_only: Annotated[
+        bool,
+        typer.Option(
+            "--with-votes-only",
+            help="Only process bill_text rows linked to at least one vote.",
+        ),
+    ] = False,
     limit: Annotated[int | None, typer.Option(help="Maximum rows to process.")] = None,
     force: Annotated[
         bool,
@@ -227,12 +262,14 @@ def main(
         message = "CLOSEDAI_TOKEN is required"
         raise typer.BadParameter(message)
 
+    summarization_prompts = load_summarization_prompts()
     engine = get_postgres_engine(name="DATA_SCIENCE_DEV")
     with Session(engine) as session:
         stmt = create_select_bill_texts_for_summarization(
             congress=congress,
             bill_ids=bill_ids,
             bill_text_ids=bill_text_ids,
+            with_votes_only=with_votes_only,
             force=force,
             limit=limit,
         )
@@ -244,7 +281,11 @@ def main(
             summary = summarize_bill_text(
                 model=model,
                 bill_text=bill_text,
+                summarization_prompts=summarization_prompts,
             )
+            if summary is None:
+                logger.warning("Skipping bill_text id=%s", bill_text.id)
+                continue
             store_bill_summary_result(
                 bill_text=bill_text,
                 summary=summary,

pipelines/orm/data_science_dev/congress/__init__.py

@@ -2,25 +2,85 @@
 
 from pipelines.orm.data_science_dev.congress.bill import (
     Bill,
+    BillAction,
+    BillActionRecordedVote,
+    BillRelation,
     BillText,
     BillTopic,
     BillTopicPosition,
 )
+from pipelines.orm.data_science_dev.congress.amendment import (
+    Amendment,
+    AmendmentAction,
+    AmendmentActionRecordedVote,
+)
+from pipelines.orm.data_science_dev.congress.context import (
+    ClassificationMethod,
+    ConfidenceLevel,
+    IngestRun,
+    MeasureFunction,
+    MeasureSubtype,
+    ScoreRun,
+    SourceArtifact,
+    SubjectType,
+    TextResolutionMethod,
+    TextTargetBasis,
+    TextTargetType,
+    VoteActionMatch,
+    VoteActionScope,
+    VoteClassification,
+    VoteContextAudit,
+    VoteEffect,
+    VoteMeasureLink,
+    VoteMeasureRole,
+    VotePositionMeaning,
+    VoteRelationship,
+    VoteTextTarget,
+)
 from pipelines.orm.data_science_dev.congress.legislator import (
     Legislator,
     LegislatorScore,
     LegislatorSocialMedia,
+    LegislatorScoreFake,
 )
 from pipelines.orm.data_science_dev.congress.vote import Vote, VoteRecord
 
 __all__ = [
+    "Amendment",
+    "AmendmentAction",
+    "AmendmentActionRecordedVote",
     "Bill",
+    "BillAction",
+    "BillActionRecordedVote",
+    "BillRelation",
     "BillText",
     "BillTopic",
     "BillTopicPosition",
+    "ClassificationMethod",
+    "ConfidenceLevel",
+    "IngestRun",
     "Legislator",
     "LegislatorScore",
+    "LegislatorScoreFake",
     "LegislatorSocialMedia",
+    "MeasureFunction",
+    "MeasureSubtype",
+    "ScoreRun",
+    "SourceArtifact",
+    "SubjectType",
+    "TextResolutionMethod",
+    "TextTargetBasis",
+    "TextTargetType",
     "Vote",
+    "VoteActionMatch",
+    "VoteActionScope",
+    "VoteClassification",
+    "VoteContextAudit",
+    "VoteEffect",
+    "VoteMeasureLink",
+    "VoteMeasureRole",
+    "VotePositionMeaning",
+    "VoteRelationship",
     "VoteRecord",
+    "VoteTextTarget",
 ]

pipelines/orm/data_science_dev/congress/amendment.py

@@ -0,0 +1,127 @@
+"""Amendment models and official action context."""
+
+from __future__ import annotations
+
+from datetime import date, datetime
+
+from sqlalchemy import DateTime, ForeignKey, Index, UniqueConstraint
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+
+from pipelines.orm.data_science_dev.base import DataScienceDevTableBase
+
+
+class Amendment(DataScienceDevTableBase):
+    """Congressional amendment linked to a bill or to another amendment."""
+
+    __tablename__ = "amendment"
+    __table_args__ = (
+        UniqueConstraint(
+            "congress",
+            "amendment_type",
+            "number",
+            name="uq_amendment_congress_type_number",
+        ),
+    )
+
+    congress: Mapped[int]
+    amendment_type: Mapped[str]
+    number: Mapped[int]
+    chamber: Mapped[str]
+    description: Mapped[str | None]
+    purpose: Mapped[str | None]
+    amended_bill_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.bill.id", ondelete="SET NULL")
+    )
+    amended_amendment_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.amendment.id", ondelete="SET NULL")
+    )
+    source_path: Mapped[str | None]
+    source_artifact_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.source_artifact.id", ondelete="SET NULL")
+    )
+
+    actions: Mapped[list[AmendmentAction]] = relationship(
+        "AmendmentAction",
+        back_populates="amendment",
+        cascade="all, delete-orphan",
+    )
+    amended_amendment: Mapped[Amendment | None] = relationship(
+        "Amendment",
+        remote_side="Amendment.id",
+    )
+
+
+class AmendmentAction(DataScienceDevTableBase):
+    """Official action row for an amendment."""
+
+    __tablename__ = "amendment_action"
+    __table_args__ = (
+        UniqueConstraint(
+            "amendment_id",
+            "sequence",
+            name="uq_amendment_action_amendment_id_sequence",
+        ),
+    )
+
+    amendment_id: Mapped[int] = mapped_column(
+        ForeignKey("main.amendment.id", ondelete="CASCADE")
+    )
+    sequence: Mapped[int]
+    action_date: Mapped[date]
+    action_time: Mapped[str | None]
+    action_text: Mapped[str]
+    action_type: Mapped[str | None]
+    action_code: Mapped[str | None]
+    source_system_code: Mapped[str | None]
+    source_system_name: Mapped[str | None]
+    source_artifact_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.source_artifact.id", ondelete="SET NULL")
+    )
+
+    amendment: Mapped[Amendment] = relationship(
+        "Amendment",
+        back_populates="actions",
+    )
+    recorded_votes: Mapped[list[AmendmentActionRecordedVote]] = relationship(
+        "AmendmentActionRecordedVote",
+        back_populates="amendment_action",
+        cascade="all, delete-orphan",
+    )
+
+
+class AmendmentActionRecordedVote(DataScienceDevTableBase):
+    """Recorded vote nested under one official amendment action."""
+
+    __tablename__ = "amendment_action_recorded_vote"
+    __table_args__ = (
+        UniqueConstraint(
+            "amendment_action_id",
+            "congress",
+            "chamber",
+            "session_number",
+            "roll_number",
+            name="uq_amendment_action_recorded_vote_match_key",
+        ),
+        Index(
+            "ix_amendment_action_recorded_vote_match_tuple",
+            "congress",
+            "chamber",
+            "session_number",
+            "roll_number",
+        ),
+    )
+
+    amendment_action_id: Mapped[int] = mapped_column(
+        ForeignKey("main.amendment_action.id", ondelete="CASCADE")
+    )
+    congress: Mapped[int]
+    chamber: Mapped[str]
+    session_number: Mapped[int]
+    roll_number: Mapped[int]
+    vote_datetime: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    vote_url: Mapped[str | None]
+
+    amendment_action: Mapped[AmendmentAction] = relationship(
+        "AmendmentAction",
+        back_populates="recorded_votes",
+    )

pipelines/orm/data_science_dev/congress/bill.py

@@ -1,4 +1,4 @@
-"""Bill model - legislation introduced in Congress."""
+"""Bill models for legislation, official actions, text versions, and topic tags."""
 
 from __future__ import annotations
 
@@ -12,7 +12,7 @@ from sqlalchemy.orm import Mapped, mapped_column, relationship
 from pipelines.orm.data_science_dev.base import DataScienceDevTableBase
 
 if TYPE_CHECKING:
-    from pipelines.orm.data_science_dev.congress.vote import Vote
+    from pipelines.orm.data_science_dev.congress.context import VoteMeasureLink
 
 
 class BillTopicPosition(StrEnum):
@@ -22,6 +22,17 @@ class BillTopicPosition(StrEnum):
     AGAINST = "against"
 
 
+def _enum_column(enum_cls: type[StrEnum], *, name: str) -> Enum:
+    """Build a portable SQLAlchemy enum column for StrEnum values."""
+
+    return Enum(
+        enum_cls,
+        values_callable=lambda enum_type: [member.value for member in enum_type],
+        native_enum=False,
+        name=name,
+    )
+
+
 class Bill(DataScienceDevTableBase):
     """Legislation with congress number, type, titles, status, and sponsor."""
 
@@ -49,10 +60,6 @@ class Bill(DataScienceDevTableBase):
     subjects_top_term: Mapped[str | None]
     score_processed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
 
-    votes: Mapped[list[Vote]] = relationship(
-        "Vote",
-        back_populates="bill",
-    )
     bill_texts: Mapped[list[BillText]] = relationship(
         "BillText",
         back_populates="bill",
@@ -63,6 +70,28 @@ class Bill(DataScienceDevTableBase):
         back_populates="bill",
         cascade="all, delete-orphan",
     )
+    bill_actions: Mapped[list[BillAction]] = relationship(
+        "BillAction",
+        back_populates="bill",
+        cascade="all, delete-orphan",
+    )
+    outgoing_bill_relations: Mapped[list[BillRelation]] = relationship(
+        "BillRelation",
+        foreign_keys="BillRelation.bill_id",
+        back_populates="bill",
+        cascade="all, delete-orphan",
+    )
+    incoming_bill_relations: Mapped[list[BillRelation]] = relationship(
+        "BillRelation",
+        foreign_keys="BillRelation.related_bill_id",
+        back_populates="related_bill",
+        cascade="all, delete-orphan",
+    )
+    vote_measure_links: Mapped[list[VoteMeasureLink]] = relationship(
+        "VoteMeasureLink",
+        back_populates="measure",
+        cascade="all, delete-orphan",
+    )
 
 
 class BillText(DataScienceDevTableBase):
@@ -84,10 +113,113 @@ class BillText(DataScienceDevTableBase):
     summarization_user_prompt_version: Mapped[str | None]
     summarization_system_prompt_version: Mapped[str | None]
     date: Mapped[date | None]
+    source_datetime_raw: Mapped[str | None]
+    text_url_xml: Mapped[str | None]
+    text_url_pdf: Mapped[str | None]
+    text_url_html: Mapped[str | None]
+    source_artifact_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.source_artifact.id", ondelete="SET NULL")
+    )
 
     bill: Mapped[Bill] = relationship("Bill", back_populates="bill_texts")
 
-# suport multipu summary prer bill
+
+class BillAction(DataScienceDevTableBase):
+    """Official action row from Bill Status XML."""
+
+    __tablename__ = "bill_action"
+    __table_args__ = (
+        UniqueConstraint("bill_id", "sequence", name="uq_bill_action_bill_id_sequence"),
+    )
+
+    bill_id: Mapped[int] = mapped_column(ForeignKey("main.bill.id", ondelete="CASCADE"))
+    sequence: Mapped[int]
+    action_date: Mapped[date]
+    action_time: Mapped[str | None]
+    action_text: Mapped[str]
+    action_type: Mapped[str | None]
+    action_code: Mapped[str | None]
+    source_system_code: Mapped[str | None]
+    source_system_name: Mapped[str | None]
+    source_artifact_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.source_artifact.id", ondelete="SET NULL")
+    )
+
+    bill: Mapped[Bill] = relationship("Bill", back_populates="bill_actions")
+    recorded_votes: Mapped[list[BillActionRecordedVote]] = relationship(
+        "BillActionRecordedVote",
+        back_populates="bill_action",
+        cascade="all, delete-orphan",
+    )
+
+
+class BillActionRecordedVote(DataScienceDevTableBase):
+    """Recorded vote nested under one official bill action."""
+
+    __tablename__ = "bill_action_recorded_vote"
+    __table_args__ = (
+        UniqueConstraint(
+            "bill_action_id",
+            "congress",
+            "chamber",
+            "session_number",
+            "roll_number",
+            name="uq_bill_action_recorded_vote_match_key",
+        ),
+        Index(
+            "ix_bill_action_recorded_vote_match_tuple",
+            "congress",
+            "chamber",
+            "session_number",
+            "roll_number",
+        ),
+    )
+
+    bill_action_id: Mapped[int] = mapped_column(
+        ForeignKey("main.bill_action.id", ondelete="CASCADE")
+    )
+    congress: Mapped[int]
+    chamber: Mapped[str]
+    session_number: Mapped[int]
+    roll_number: Mapped[int]
+    vote_datetime: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    vote_url: Mapped[str | None]
+
+    bill_action: Mapped[BillAction] = relationship(
+        "BillAction",
+        back_populates="recorded_votes",
+    )
+
+
+class BillRelation(DataScienceDevTableBase):
+    """Relationship between one bill/resolution and another."""
+
+    __tablename__ = "bill_relation"
+    __table_args__ = (
+        Index("ix_bill_relation_bill_id", "bill_id"),
+        Index("ix_bill_relation_related_bill_id", "related_bill_id"),
+    )
+
+    bill_id: Mapped[int] = mapped_column(ForeignKey("main.bill.id", ondelete="CASCADE"))
+    related_bill_id: Mapped[int] = mapped_column(
+        ForeignKey("main.bill.id", ondelete="CASCADE")
+    )
+    relationship_type: Mapped[str]
+    identified_by: Mapped[str | None]
+    latest_action_date: Mapped[date | None]
+    latest_action_text: Mapped[str | None]
+
+    bill: Mapped[Bill] = relationship(
+        "Bill",
+        foreign_keys=[bill_id],
+        back_populates="outgoing_bill_relations",
+    )
+    related_bill: Mapped[Bill] = relationship(
+        "Bill",
+        foreign_keys=[related_bill_id],
+        back_populates="incoming_bill_relations",
+    )
+
 
 class BillTopic(DataScienceDevTableBase):
     """One bill stance on one topic used to score roll-call votes."""
@@ -106,12 +238,7 @@ class BillTopic(DataScienceDevTableBase):
     bill_id: Mapped[int] = mapped_column(ForeignKey("main.bill.id", ondelete="CASCADE"))
     topic: Mapped[str]
     support_position: Mapped[BillTopicPosition] = mapped_column(
-        Enum(
-            BillTopicPosition,
-            values_callable=lambda enum_cls: [member.value for member in enum_cls],
-            native_enum=False,
-            name="bill_topic_position",
-        )
+        _enum_column(BillTopicPosition, name="bill_topic_position")
     )
 
     bill: Mapped[Bill] = relationship("Bill", back_populates="topics")

pipelines/orm/data_science_dev/congress/context.py

@@ -0,0 +1,462 @@
+"""Canonical vote context, artifact tracking, and run metadata models."""
+
+from __future__ import annotations
+
+from datetime import datetime
+from enum import StrEnum
+from typing import TYPE_CHECKING
+
+from sqlalchemy import DateTime, Enum, ForeignKey, Index, func, text
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+
+from pipelines.orm.data_science_dev.base import DataScienceDevTableBase
+
+if TYPE_CHECKING:
+    from pipelines.orm.data_science_dev.congress.amendment import Amendment, AmendmentAction
+    from pipelines.orm.data_science_dev.congress.bill import Bill, BillAction, BillText
+    from pipelines.orm.data_science_dev.congress.legislator import LegislatorScore
+    from pipelines.orm.data_science_dev.congress.vote import Vote
+
+
+def _enum_column(enum_cls: type[StrEnum], *, name: str) -> Enum:
+    """Build a portable SQLAlchemy enum column for StrEnum values."""
+
+    return Enum(
+        enum_cls,
+        values_callable=lambda enum_type: [member.value for member in enum_type],
+        native_enum=False,
+        name=name,
+    )
+
+
+class ConfidenceLevel(StrEnum):
+    """Low/medium/high confidence buckets."""
+
+    HIGH = "high"
+    MEDIUM = "medium"
+    LOW = "low"
+
+
+class VoteActionScope(StrEnum):
+    """Whether a matched action came from bill or amendment context."""
+
+    BILL = "bill"
+    AMENDMENT = "amendment"
+
+
+class SubjectType(StrEnum):
+    """The direct legal/procedural subject of the vote."""
+
+    MEASURE = "measure"
+    AMENDMENT = "amendment"
+    NOMINATION = "nomination"
+    TREATY = "treaty"
+    QUORUM = "quorum"
+    CHAMBER_ADMIN = "chamber_admin"
+    UNKNOWN = "unknown"
+
+
+class MeasureSubtype(StrEnum):
+    """Formal congressional measure subtype."""
+
+    BILL = "bill"
+    JOINT_RESOLUTION = "joint_resolution"
+    CONCURRENT_RESOLUTION = "concurrent_resolution"
+    SIMPLE_RESOLUTION = "simple_resolution"
+
+
+class MeasureFunction(StrEnum):
+    """Semantic function of a measure beyond its formal subtype."""
+
+    SUBSTANTIVE_MEASURE = "substantive_measure"
+    SPECIAL_RULE = "special_rule"
+    BUDGET_RESOLUTION = "budget_resolution"
+    CHAMBER_INTERNAL = "chamber_internal"
+    COMMEMORATIVE_OR_SENSE_OF = "commemorative_or_sense_of"
+    UNKNOWN = "unknown"
+
+
+class VoteRelationship(StrEnum):
+    """The vote's relationship to the direct subject and its text."""
+
+    DIRECT_TEXT_VOTE = "direct_text_vote"
+    AMENDMENT_TEXT_VOTE = "amendment_text_vote"
+    PROCEDURAL_RELATED_TO_MEASURE = "procedural_related_to_measure"
+    PROCEDURAL_RELATED_TO_AMENDMENT = "procedural_related_to_amendment"
+    NON_LEGISLATIVE = "non_legislative"
+    UNKNOWN = "unknown"
+
+
+class ClassificationMethod(StrEnum):
+    """How the final classification was derived."""
+
+    RECORDED_VOTE_ACTION_EXACT = "recorded_vote_action_exact"
+    RECORDED_VOTE_ACTION_DUPLICATE_SOURCE_DEDUPED = (
+        "recorded_vote_action_duplicate_source_deduped"
+    )
+    VOTE_XML_ONLY = "vote_xml_only"
+    QUESTION_TEXT_ONLY = "question_text_only"
+    MANUAL_REVIEW = "manual_review"
+
+
+class VoteMeasureRole(StrEnum):
+    """How one measure relates to one classified vote."""
+
+    VOTED_ON = "voted_on"
+    RULE_FOR = "rule_for"
+    UNDERLYING_BILL = "underlying_bill"
+    PROCEDURAL_TARGET = "procedural_target"
+    AMENDS = "amends"
+    AMENDED_BY = "amended_by"
+    CONFERENCE_REPORT_FOR = "conference_report_for"
+    RELATED_ONLY = "related_only"
+
+
+class TextTargetType(StrEnum):
+    """Which kind of legislative text was the object of a vote."""
+
+    BILL_TEXT = "bill_text"
+    RESOLUTION_TEXT = "resolution_text"
+    AMENDMENT_TEXT = "amendment_text"
+    NONE = "none"
+    UNKNOWN = "unknown"
+
+
+class TextTargetBasis(StrEnum):
+    """How the text target should be interpreted."""
+
+    EXACT_ACTION_TEXT_VERSION = "exact_action_text_version"
+    RESULTING_ENGROSSED_VERSION = "resulting_engrossed_version"
+    RECEIVED_PRIOR_CHAMBER_VERSION = "received_prior_chamber_version"
+    AMENDMENT_TEXT = "amendment_text"
+    RULE_RESOLUTION_TEXT = "rule_resolution_text"
+    NO_TEXT_TARGET = "no_text_target"
+    UNKNOWN = "unknown"
+
+
+class TextResolutionMethod(StrEnum):
+    """How the official text target was resolved."""
+
+    TEXT_EXACT_ACTION_DATE_AND_CODE = "text_exact_action_date_and_code"
+    TEXT_EXACT_ACTION_DATE_WRONG_CODE = "text_exact_action_date_wrong_code"
+    TEXT_PRIOR_VERSION_CODE_MATCH = "text_prior_version_code_match"
+    TEXT_RECEIVED_PRIOR_CHAMBER_VERSION = "text_received_prior_chamber_version"
+    TEXT_RESULTING_ENROLLED_ONLY = "text_resulting_enrolled_only"
+    AMENDMENT_TEXT_UNMODELED_PHASE1 = "amendment_text_unmodeled_phase1"
+    NO_TEXT_TARGET = "no_text_target"
+    UNKNOWN = "unknown"
+
+
+class VoteEffect(StrEnum):
+    """Meaning of one member position relative to the target text/procedure."""
+
+    SUPPORTS_TEXT = "supports_text"
+    OPPOSES_TEXT = "opposes_text"
+    ADVANCES_PROCEDURE = "advances_procedure"
+    BLOCKS_PROCEDURE = "blocks_procedure"
+    UNKNOWN = "unknown"
+
+
+class IngestRun(DataScienceDevTableBase):
+    """One full ingestion or context rebuild run."""
+
+    __tablename__ = "ingest_run"
+
+    started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    git_sha: Mapped[str | None]
+    classifier_version: Mapped[str | None]
+    source_snapshot_label: Mapped[str | None]
+    status: Mapped[str]
+
+    source_artifacts: Mapped[list[SourceArtifact]] = relationship(
+        "SourceArtifact",
+        back_populates="ingest_run",
+        cascade="all, delete-orphan",
+    )
+    score_runs: Mapped[list[ScoreRun]] = relationship(
+        "ScoreRun",
+        back_populates="ingest_run",
+        cascade="all, delete-orphan",
+    )
+
+
+class SourceArtifact(DataScienceDevTableBase):
+    """Local artifact manifest entry for reproducibility."""
+
+    __tablename__ = "source_artifact"
+    __table_args__ = (
+        Index("ix_source_artifact_source_kind", "source_kind"),
+        Index("ix_source_artifact_congress", "congress"),
+        Index(
+            "uq_source_artifact_ingest_identity",
+            "ingest_run_id",
+            "local_path",
+            "sha256",
+            unique=True,
+        ),
+    )
+
+    source_kind: Mapped[str]
+    congress: Mapped[int]
+    chamber: Mapped[str | None]
+    local_path: Mapped[str]
+    source_url: Mapped[str | None]
+    sha256: Mapped[str]
+    byte_size: Mapped[int]
+    modified_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    ingested_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    ingest_run_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.ingest_run.id", ondelete="SET NULL")
+    )
+
+    ingest_run: Mapped[IngestRun | None] = relationship(
+        "IngestRun",
+        back_populates="source_artifacts",
+    )
+
+
+class ScoreRun(DataScienceDevTableBase):
+    """One full score recomputation tied to one ingest snapshot."""
+
+    __tablename__ = "score_run"
+
+    ingest_run_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.ingest_run.id", ondelete="SET NULL")
+    )
+    classifier_version: Mapped[str | None]
+    scoring_version: Mapped[str | None]
+    included_vote_count: Mapped[int]
+    excluded_vote_count: Mapped[int]
+    started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+
+    ingest_run: Mapped[IngestRun | None] = relationship(
+        "IngestRun",
+        back_populates="score_runs",
+    )
+    scores: Mapped[list[LegislatorScore]] = relationship(
+        "LegislatorScore",
+        back_populates="score_run",
+        cascade="all, delete-orphan",
+    )
+
+
+class VoteActionMatch(DataScienceDevTableBase):
+    """A candidate or selected official action match for one raw vote."""
+
+    __tablename__ = "vote_action_match"
+    __table_args__ = (
+        Index("ix_vote_action_match_vote_id", "vote_id"),
+        Index(
+            "uq_vote_action_match_selected_vote_id",
+            "vote_id",
+            unique=True,
+            postgresql_where=text("is_selected"),
+        ),
+    )
+
+    vote_id: Mapped[int] = mapped_column(ForeignKey("main.vote.id", ondelete="CASCADE"))
+    action_scope: Mapped[VoteActionScope] = mapped_column(
+        _enum_column(VoteActionScope, name="vote_action_scope")
+    )
+    bill_action_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.bill_action.id", ondelete="CASCADE")
+    )
+    amendment_action_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.amendment_action.id", ondelete="CASCADE")
+    )
+    is_selected: Mapped[bool]
+    match_method: Mapped[str]
+    match_reason: Mapped[str | None]
+    match_confidence: Mapped[ConfidenceLevel] = mapped_column(
+        _enum_column(ConfidenceLevel, name="vote_action_match_confidence")
+    )
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+    )
+
+    vote: Mapped[Vote] = relationship("Vote", back_populates="action_matches")
+    bill_action: Mapped[BillAction | None] = relationship("BillAction")
+    amendment_action: Mapped[AmendmentAction | None] = relationship("AmendmentAction")
+
+
+class VoteClassification(DataScienceDevTableBase):
+    """Normalized classification for what a vote was legally/procedurally on."""
+
+    __tablename__ = "vote_classification"
+    __table_args__ = (
+        Index("ix_vote_classification_subject_type", "subject_type"),
+        Index(
+            "ix_vote_classification_eligible_vote_id",
+            "vote_id",
+            postgresql_where=text(
+                "subject_type = 'measure' "
+                "AND vote_relationship = 'direct_text_vote' "
+                "AND is_direct_vote_on_legislative_text "
+                "AND is_substantive_policy_vote "
+                "AND NOT is_special_rule"
+            ),
+        ),
+    )
+
+    vote_id: Mapped[int] = mapped_column(
+        ForeignKey("main.vote.id", ondelete="CASCADE"),
+        unique=True,
+    )
+    subject_type: Mapped[SubjectType] = mapped_column(
+        _enum_column(SubjectType, name="vote_subject_type")
+    )
+    measure_type: Mapped[str | None]
+    measure_subtype: Mapped[MeasureSubtype | None] = mapped_column(
+        _enum_column(MeasureSubtype, name="vote_measure_subtype")
+    )
+    measure_function: Mapped[MeasureFunction | None] = mapped_column(
+        _enum_column(MeasureFunction, name="vote_measure_function")
+    )
+    vote_relationship: Mapped[VoteRelationship] = mapped_column(
+        _enum_column(VoteRelationship, name="vote_relationship")
+    )
+    is_legislation_related: Mapped[bool]
+    is_direct_vote_on_legislative_text: Mapped[bool]
+    is_substantive_policy_vote: Mapped[bool]
+    is_lawmaking_vehicle: Mapped[bool]
+    is_special_rule: Mapped[bool]
+    classification_method: Mapped[ClassificationMethod] = mapped_column(
+        _enum_column(ClassificationMethod, name="vote_classification_method")
+    )
+    classification_confidence_reason: Mapped[str | None]
+    confidence: Mapped[ConfidenceLevel] = mapped_column(
+        _enum_column(ConfidenceLevel, name="vote_classification_confidence")
+    )
+    classified_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    classification_version: Mapped[str]
+
+    vote: Mapped[Vote] = relationship("Vote", back_populates="classification")
+
+
+class VoteMeasureLink(DataScienceDevTableBase):
+    """Relationship between a classified vote and one bill/resolution measure."""
+
+    __tablename__ = "vote_measure_link"
+    __table_args__ = (
+        Index("ix_vote_measure_link_vote_id", "vote_id"),
+        Index("ix_vote_measure_link_vote_id_role", "vote_id", "role"),
+        Index("ix_vote_measure_link_measure_id_role", "measure_id", "role"),
+    )
+
+    vote_id: Mapped[int] = mapped_column(ForeignKey("main.vote.id", ondelete="CASCADE"))
+    measure_id: Mapped[int] = mapped_column(ForeignKey("main.bill.id", ondelete="CASCADE"))
+    role: Mapped[VoteMeasureRole] = mapped_column(
+        _enum_column(VoteMeasureRole, name="vote_measure_role")
+    )
+    source: Mapped[str]
+    confidence: Mapped[ConfidenceLevel] = mapped_column(
+        _enum_column(ConfidenceLevel, name="vote_measure_link_confidence")
+    )
+    notes: Mapped[str | None]
+
+    vote: Mapped[Vote] = relationship("Vote", back_populates="vote_measure_links")
+    measure: Mapped[Bill] = relationship("Bill", back_populates="vote_measure_links")
+
+
+class VoteTextTarget(DataScienceDevTableBase):
+    """Official text target, if any, resolved for one classified vote."""
+
+    __tablename__ = "vote_text_target"
+    __table_args__ = (
+        Index(
+            "ix_vote_text_target_voted_text_version_id",
+            "voted_text_version_id",
+            postgresql_where=text("voted_text_version_id IS NOT NULL"),
+        ),
+    )
+
+    vote_id: Mapped[int] = mapped_column(
+        ForeignKey("main.vote.id", ondelete="CASCADE"),
+        unique=True,
+    )
+    text_target_type: Mapped[TextTargetType] = mapped_column(
+        _enum_column(TextTargetType, name="vote_text_target_type")
+    )
+    voted_text_version_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.bill_text.id", ondelete="SET NULL")
+    )
+    resulting_text_version_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.bill_text.id", ondelete="SET NULL")
+    )
+    related_amendment_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.amendment.id", ondelete="SET NULL")
+    )
+    text_target_basis: Mapped[TextTargetBasis] = mapped_column(
+        _enum_column(TextTargetBasis, name="vote_text_target_basis")
+    )
+    text_resolution_method: Mapped[TextResolutionMethod] = mapped_column(
+        _enum_column(TextResolutionMethod, name="vote_text_resolution_method")
+    )
+    text_resolution_confidence_reason: Mapped[str | None]
+    confidence: Mapped[ConfidenceLevel] = mapped_column(
+        _enum_column(ConfidenceLevel, name="vote_text_target_confidence")
+    )
+    notes: Mapped[str | None]
+
+    vote: Mapped[Vote] = relationship("Vote", back_populates="text_target")
+    voted_text_version: Mapped[BillText | None] = relationship(
+        "BillText",
+        foreign_keys=[voted_text_version_id],
+    )
+    resulting_text_version: Mapped[BillText | None] = relationship(
+        "BillText",
+        foreign_keys=[resulting_text_version_id],
+    )
+    related_amendment: Mapped[Amendment | None] = relationship("Amendment")
+
+
+class VotePositionMeaning(DataScienceDevTableBase):
+    """Meaning of Yea/Nay/Present positions for one classified vote."""
+
+    __tablename__ = "vote_position_meaning"
+
+    vote_id: Mapped[int] = mapped_column(
+        ForeignKey("main.vote.id", ondelete="CASCADE"),
+        unique=True,
+    )
+    yea_effect: Mapped[VoteEffect] = mapped_column(
+        _enum_column(VoteEffect, name="vote_yea_effect")
+    )
+    nay_effect: Mapped[VoteEffect] = mapped_column(
+        _enum_column(VoteEffect, name="vote_nay_effect")
+    )
+    present_effect: Mapped[VoteEffect] = mapped_column(
+        _enum_column(VoteEffect, name="vote_present_effect")
+    )
+    polarity_confidence: Mapped[ConfidenceLevel] = mapped_column(
+        _enum_column(ConfidenceLevel, name="vote_polarity_confidence")
+    )
+    polarity_method: Mapped[str]
+    notes: Mapped[str | None]
+
+    vote: Mapped[Vote] = relationship("Vote", back_populates="position_meaning")
+
+
+class VoteContextAudit(DataScienceDevTableBase):
+    """Audit/event row for ambiguous or noteworthy vote-context decisions."""
+
+    __tablename__ = "vote_context_audit"
+    __table_args__ = (
+        Index("ix_vote_context_audit_vote_id", "vote_id"),
+        Index("ix_vote_context_audit_severity_vote_id", "severity", "vote_id"),
+    )
+
+    vote_id: Mapped[int] = mapped_column(ForeignKey("main.vote.id", ondelete="CASCADE"))
+    step: Mapped[str]
+    message: Mapped[str]
+    severity: Mapped[str]
+    source_path: Mapped[str | None]
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+    )
+
+    vote: Mapped[Vote] = relationship("Vote", back_populates="context_audit_rows")

pipelines/orm/data_science_dev/congress/legislator.py

@@ -11,6 +11,7 @@ from sqlalchemy.orm import Mapped, mapped_column, relationship
 from pipelines.orm.data_science_dev.base import DataScienceDevTableBase
 
 if TYPE_CHECKING:
+    from pipelines.orm.data_science_dev.congress.context import ScoreRun
     from pipelines.orm.data_science_dev.congress.vote import VoteRecord
 
 
@@ -18,6 +19,7 @@ class Legislator(DataScienceDevTableBase):
     """Members of Congress with identification and current term info."""
 
     __tablename__ = "legislator"
+    __table_args__ = (Index("ix_legislator_current_chamber", "current_chamber"),)
 
     bioguide_id: Mapped[str] = mapped_column(Text, unique=True, index=True)
 
@@ -91,8 +93,39 @@ class LegislatorScore(DataScienceDevTableBase):
         ForeignKey("main.legislator.id", ondelete="CASCADE"),
         index=True,
     )
+    score_run_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.score_run.id", ondelete="CASCADE"),
+        index=True,
+    )
     year: Mapped[int]
     topic: Mapped[str]
     score: Mapped[float]
 
     legislator: Mapped[Legislator] = relationship(back_populates="scores")
+    score_run: Mapped[ScoreRun | None] = relationship(
+        "ScoreRun",
+        back_populates="scores",
+    )
+
+
+class LegislatorScoreFake(DataScienceDevTableBase):
+    """Computed topic score for a legislator in one calendar year."""
+
+    __tablename__ = "legislator_score_fake"
+    __table_args__ = (
+        UniqueConstraint(
+            "legislator_id",
+            "year",
+            "topic",
+            name="uq_legislator_score_fake_legislator_id_year_topic",
+        ),
+        Index("ix_legislator_score_fake_year_topic", "year", "topic"),
+    )
+
+    legislator_id: Mapped[int] = mapped_column(
+        ForeignKey("main.legislator.id", ondelete="CASCADE"),
+        index=True,
+    )
+    year: Mapped[int]
+    topic: Mapped[str]
+    score: Mapped[float]

pipelines/orm/data_science_dev/congress/vote.py

@@ -1,11 +1,12 @@
-"""Vote model - roll call votes in Congress."""
+"""Vote models for raw roll-call data and member positions."""
 
 from __future__ import annotations
 
-from datetime import date
+from datetime import date, datetime
 from typing import TYPE_CHECKING
 
-from sqlalchemy import ForeignKey, Index, UniqueConstraint
+from sqlalchemy import DateTime, ForeignKey, Index, UniqueConstraint
+from sqlalchemy.dialects.postgresql import JSONB
 from sqlalchemy.orm import Mapped, mapped_column, relationship
 
 from pipelines.orm.data_science_dev.base import (
@@ -14,9 +15,15 @@ from pipelines.orm.data_science_dev.base import (
 )
 
 if TYPE_CHECKING:
-    from pipelines.orm.data_science_dev.congress.bill import Bill
+    from pipelines.orm.data_science_dev.congress.context import (
+        VoteActionMatch,
+        VoteClassification,
+        VoteContextAudit,
+        VoteMeasureLink,
+        VotePositionMeaning,
+        VoteTextTarget,
+    )
     from pipelines.orm.data_science_dev.congress.legislator import Legislator
-    from pipelines.orm.data_science_dev.congress.vote import Vote
 
 
 class VoteRecord(DataScienceDevBase):
@@ -41,16 +48,16 @@ class VoteRecord(DataScienceDevBase):
 
 
 class Vote(DataScienceDevTableBase):
-    """Roll call votes with counts and optional bill linkage."""
+    """Raw roll call vote facts from House or Senate vote sources."""
 
     __tablename__ = "vote"
     __table_args__ = (
         UniqueConstraint(
             "congress",
             "chamber",
-            "session",
-            "number",
-            name="uq_vote_congress_chamber_session_number",
+            "session_number",
+            "roll_number",
+            name="uq_vote_congress_chamber_session_number_roll_number",
         ),
         Index("ix_vote_date", "vote_date"),
         Index("ix_vote_congress_chamber", "congress", "chamber"),
@@ -58,8 +65,9 @@ class Vote(DataScienceDevTableBase):
 
     congress: Mapped[int]
     chamber: Mapped[str]
-    session: Mapped[int]
-    number: Mapped[int]
+    session_year: Mapped[int]
+    session_number: Mapped[int]
+    roll_number: Mapped[int]
 
     vote_type: Mapped[str | None]
     question: Mapped[str | None]
@@ -67,18 +75,57 @@ class Vote(DataScienceDevTableBase):
     result_text: Mapped[str | None]
 
     vote_date: Mapped[date]
+    vote_datetime: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+    raw_vote_source_url: Mapped[str | None]
 
     yea_count: Mapped[int | None]
     nay_count: Mapped[int | None]
     not_voting_count: Mapped[int | None]
     present_count: Mapped[int | None]
 
-    bill_id: Mapped[int | None] = mapped_column(ForeignKey("main.bill.id"))
+    raw_bill_ref: Mapped[dict | None] = mapped_column(JSONB)
+    raw_amendment_ref: Mapped[dict | None] = mapped_column(JSONB)
+    raw_nomination_ref: Mapped[dict | None] = mapped_column(JSONB)
+    raw_treaty_ref: Mapped[dict | None] = mapped_column(JSONB)
+    raw_vote_source_artifact_id: Mapped[int | None] = mapped_column(
+        ForeignKey("main.source_artifact.id", ondelete="SET NULL")
+    )
 
-    bill: Mapped[Bill | None] = relationship("Bill", back_populates="votes")
     vote_records: Mapped[list[VoteRecord]] = relationship(
         "VoteRecord",
         back_populates="vote",
         cascade="all, delete-orphan",
     )
-
+    action_matches: Mapped[list[VoteActionMatch]] = relationship(
+        "VoteActionMatch",
+        back_populates="vote",
+        cascade="all, delete-orphan",
+    )
+    classification: Mapped[VoteClassification | None] = relationship(
+        "VoteClassification",
+        back_populates="vote",
+        cascade="all, delete-orphan",
+        uselist=False,
+    )
+    vote_measure_links: Mapped[list[VoteMeasureLink]] = relationship(
+        "VoteMeasureLink",
+        back_populates="vote",
+        cascade="all, delete-orphan",
+    )
+    text_target: Mapped[VoteTextTarget | None] = relationship(
+        "VoteTextTarget",
+        back_populates="vote",
+        cascade="all, delete-orphan",
+        uselist=False,
+    )
+    position_meaning: Mapped[VotePositionMeaning | None] = relationship(
+        "VotePositionMeaning",
+        back_populates="vote",
+        cascade="all, delete-orphan",
+        uselist=False,
+    )
+    context_audit_rows: Mapped[list[VoteContextAudit]] = relationship(
+        "VoteContextAudit",
+        back_populates="vote",
+        cascade="all, delete-orphan",
+    )

pipelines/orm/data_science_dev/models.py

@@ -3,26 +3,80 @@
 from __future__ import annotations
 
 from pipelines.orm.data_science_dev.congress import (
+    Amendment,
+    AmendmentAction,
+    AmendmentActionRecordedVote,
     Bill,
+    BillAction,
+    BillActionRecordedVote,
+    BillRelation,
     BillText,
     BillTopic,
     BillTopicPosition,
+    ClassificationMethod,
+    ConfidenceLevel,
+    IngestRun,
     Legislator,
     LegislatorScore,
+    MeasureFunction,
+    MeasureSubtype,
+    ScoreRun,
+    SourceArtifact,
+    SubjectType,
+    TextResolutionMethod,
+    TextTargetBasis,
+    TextTargetType,
     Vote,
+    VoteActionMatch,
+    VoteActionScope,
+    VoteClassification,
+    VoteContextAudit,
+    VoteEffect,
+    VoteMeasureLink,
+    VoteMeasureRole,
+    VotePositionMeaning,
+    VoteRelationship,
     VoteRecord,
+    VoteTextTarget,
 )
 from pipelines.orm.data_science_dev.posts import partitions  # noqa: F401 — registers partition classes in metadata
 from pipelines.orm.data_science_dev.posts.tables import Posts
 
 __all__ = [
+    "Amendment",
+    "AmendmentAction",
+    "AmendmentActionRecordedVote",
     "Bill",
+    "BillAction",
+    "BillActionRecordedVote",
+    "BillRelation",
     "BillText",
     "BillTopic",
     "BillTopicPosition",
+    "ClassificationMethod",
+    "ConfidenceLevel",
+    "IngestRun",
     "Legislator",
     "LegislatorScore",
+    "MeasureFunction",
+    "MeasureSubtype",
     "Posts",
+    "ScoreRun",
+    "SourceArtifact",
+    "SubjectType",
+    "TextResolutionMethod",
+    "TextTargetBasis",
+    "TextTargetType",
     "Vote",
+    "VoteActionMatch",
+    "VoteActionScope",
+    "VoteClassification",
+    "VoteContextAudit",
+    "VoteEffect",
+    "VoteMeasureLink",
+    "VoteMeasureRole",
+    "VotePositionMeaning",
+    "VoteRelationship",
     "VoteRecord",
+    "VoteTextTarget",
 ]

pipelines/orm/data_science_dev/posts/__init__.py

@@ -3,9 +3,10 @@
 from __future__ import annotations
 
 from pipelines.orm.data_science_dev.posts.failed_ingestion import FailedIngestion
-from pipelines.orm.data_science_dev.posts.tables import Posts
+from pipelines.orm.data_science_dev.posts.tables import Posts, PostTopic
 
 __all__ = [
     "FailedIngestion",
     "Posts",
+    "PostTopic",
 ]

pipelines/orm/data_science_dev/posts/lang_filters.py

@@ -0,0 +1,195 @@
+"""Shared language filter constants for post sampling queries."""
+
+from __future__ import annotations
+
+ENGLISH_LANGS = (
+    '["", "", ""]',
+    '[""]',
+    "[]",
+    '["", "eng"]',
+    '["eng", "", ""]',
+    '["eng", ""]',
+    '["eng"]',
+    '["eng", "aar"]',
+    '["eng", "abk", "afr"]',
+    '["eng", "afr"]',
+    '["eng", "afr", "abk"]',
+    '["eng", "afr", "anp"]',
+    '["eng", "afr", "ber"]',
+    '["eng", "afr", "dan"]',
+    '["eng", "afr", "deu"]',
+    '["eng", "afr", "est"]',
+    '["eng", "afr", "fra"]',
+    '["eng", "afr", "ind"]',
+    '["eng", "afr", "lat"]',
+    '["eng", "afr", "nld"]',
+    '["eng", "afr", "nor"]',
+    '["eng", "afr", "pol"]',
+    '["eng", "afr", "por"]',
+    '["eng", "afr", "ron"]',
+    '["eng", "afr", "slk"]',
+    '["eng", "afr", "spa"]',
+    '["eng", "afr", "tgl"]',
+    '["eng", "afr", "tuk"]',
+    '["eng", "afr", "tur"]',
+    '["eng", "afr", "ukr"]',
+    '["eng", "afr", "vol"]',
+    '["eng", "agq"]',
+    '["eng", "ain"]',
+    '["eng", "ain", "amh"]',
+    '["eng", "ain", "jpn"]',
+    '["eng", "aka"]',
+    '["eng", "amh"]',
+    '["eng", "amh", "afr"]',
+    '["eng", "amh", "ara"]',
+    '["eng", "amh", "fra"]',
+    '["eng", "anp"]',
+    '["eng", "anp", "hye"]',
+    '["eng", "anp", "sqi"]',
+    '["eng", "", "ara"]',
+    '["eng", "ara", ""]',
+    '["eng", "ara"]',
+    '["eng", "ara", "afr"]',
+    '["eng", "ara", "anp"]',
+    '["eng", "ara", "ars"]',
+    '["eng", "ara", "bul"]',
+    '["eng", "ara", "cat"]',
+    '["eng", "ara", "deu"]',
+    '["eng", "ara", "ell"]',
+    '["eng", "ara", "fas"]',
+    '["eng", "ara", "fra"]',
+    '["eng", "ara", "heb"]',
+    '["eng", "ara", "hin"]',
+    '["eng", "ara", "ind"]',
+    '["eng", "ara", "ita"]',
+    '["eng", "ara", "jpn"]',
+    '["eng", "ara", "kas"]',
+    '["eng", "ara", "kor"]',
+    '["eng", "ara", "nob"]',
+    '["eng", "ara", "nor"]',
+    '["eng", "ara", "rus"]',
+    '["eng", "ara", "spa"]',
+    '["eng", "ara", "swe"]',
+    '["eng", "ara", "tam"]',
+    '["eng", "ara", "tur"]',
+    '["eng", "ara", "urd"]',
+    '["eng", "ara", "zho"]',
+    '["eng", "arg"]',
+    '["eng", "arg", "amh"]',
+    '["eng", "arg", "aze"]',
+    '["eng", "ars"]',
+    '["eng", "ars", "ara"]',
+    '["eng", "asm"]',
+    '["eng", "ava", "sqi"]',
+    '["eng", "ave"]',
+    '["eng", "aze"]',
+    '["eng", "aze", "deu"]',
+    '["eng", "aze", "hye"]',
+    '["eng", "aze", "ita"]',
+    '["eng", "aze", "rus"]',
+    '["eng", "bam", ""]',
+    '["eng", "bel"]',
+    '["eng", "bel", "rus"]',
+    '["eng", "ben"]',
+    '["eng", "ben", "deu"]',
+    '["eng", "ben", "fra"]',
+    '["eng", "ben", "hin"]',
+    '["eng", "ben", "mya"]',
+    '["eng", "ber"]',
+    '["eng", "ber", "afr"]',
+    '["eng", "ber", "deu"]',
+    '["eng", "ber", "est"]',
+    '["eng", "ber", "hun"]',
+    '["eng", "ber", "isl"]',
+    '["eng", "ber", "jpn"]',
+    '["eng", "ber", "lat"]',
+    '["eng", "ber", "nor"]',
+    '["eng", "ber", "pol"]',
+    '["eng", "ber", "por"]',
+    '["eng", "ber", "ron"]',
+    '["eng", "ber", "run"]',
+    '["eng", "ber", "slk"]',
+    '["eng", "ber", "spa"]',
+    '["eng", "ber", "tgl"]',
+    '["eng", "ber", "tlh"]',
+    '["eng", "ber", "tuk"]',
+    '["eng", "bod"]',
+    '["eng", "bod", "nep"]',
+    '["eng", "bos", "hrv"]',
+    '["eng", "bos", "srp"]',
+    '["eng", "bul"]',
+    '["eng", "bul", "deu"]',
+    '["eng", "bul", "fra"]',
+    '["eng", "bul", "jpn"]',
+    '["eng", "bul", "mkd"]',
+    '["eng", "bul", "mri"]',
+    '["eng", "bul", "nld"]',
+    '["eng", "bul", "rus"]',
+    '["eng", "bul", "srp"]',
+    '["eng", "cat"]',
+    '["eng", "cat", "fra"]',
+    '["eng", "cat", "ind"]',
+    '["eng", "cat", "isl"]',
+    '["eng", "cat", "jpn"]',
+    '["eng", "cat", "nld"]',
+    '["eng", "cat", "spa"]',
+    '["eng", "ces"]',
+    '["eng", "ces", "deu"]',
+    '["eng", "ces", "ell"]',
+    '["eng", "ces", "haw"]',
+    '["eng", "ces", "ind"]',
+    '["eng", "ces", "ita"]',
+    '["eng", "ces", "jpn"]',
+    '["eng", "ces", "por"]',
+    '["eng", "ces", "rus"]',
+    '["eng", "ces", "slk"]',
+    '["eng", "ces", "spa"]',
+    '["eng", "ces", "tuk"]',
+    '["eng", "cha"]',
+    '["eng", "chr"]',
+    '["eng", "chr", "ara"]',
+    '["eng", "chr", "deu"]',
+    '["eng", "chr", "ell"]',
+    '["eng", "chr", "fil"]',
+    '["eng", "chr", "isl"]',
+    '["eng", "chr", "kor"]',
+    '["eng", "chr", "rus"]',
+    '["eng", "chr", "spa"]',
+    '["eng", "chr", "zho"]',
+    '["eng", "chu", "oci"]',
+    '["eng", "cor"]',
+    '["eng", "", "cos"]',
+    '["eng", "cos"]',
+    '["eng", "cym"]',
+    '["eng", "cym", "deu"]',
+    '["eng", "cym", "fra"]',
+    '["eng", "cym", "jpn"]',
+    '["eng", "cym", "spa"]',
+    '["eng", "cym", "zho"]',
+    '["eng", "dan"]',
+    '["eng", "dan", "ber"]',
+    '["eng", "dan", "deu"]',
+    '["eng", "dan", "ell"]',
+    '["eng", "dan", "est"]',
+    '["eng", "dan", "fas"]',
+    '["eng", "dan", "fin"]',
+    '["eng", "dan", "fra"]',
+    '["eng", "dan", "gle"]',
+    '["eng", "dan", "hun"]',
+    '["eng", "dan", "isl"]',
+    '["eng", "dan", "ita"]',
+    '["eng", "dan", "jpn"]',
+    '["eng", "dan", "lat"]',
+    '["eng", "dan", "nld"]',
+    '["eng", "dan", "nob"]',
+    '["eng", "dan", "nor"]',
+    '["eng", "dan", "por"]',
+    '["eng", "dan", "rus"]',
+    '["eng", "dan", "slk"]',
+    '["eng", "dan", "spa"]',
+    '["eng", "dan", "swe"]',
+    '["eng", "dan", "tuk"]',
+    '["eng", "dan", "zho"]',
+    '["eng", "deu", ""]',
+    '["eng", "deu"]',
+)

pipelines/orm/data_science_dev/posts/tables.py

@@ -1,13 +1,36 @@
-"""Posts parent table with PostgreSQL weekly range partitioning on date column."""
+"""Posts parent table and PostTopic table for the data_science_dev database."""
 
 from __future__ import annotations
 
-from pipelines.orm.data_science_dev.base import DataScienceDevBase
+from pipelines.orm.data_science_dev.base import (
+    DataScienceDevBase,
+    DataScienceDevTableBase,
+)
 from pipelines.orm.data_science_dev.posts.columns import PostsColumns
 
 
+from sqlalchemy import BigInteger, Index, SmallInteger
+from sqlalchemy.orm import Mapped, mapped_column
+
+
 class Posts(PostsColumns, DataScienceDevBase):
     """Parent partitioned table for posts, partitioned by week on `date`."""
 
     __tablename__ = "posts"
     __table_args__ = ({"postgresql_partition_by": "RANGE (date)"},)
+
+
+class PostTopic(DataScienceDevTableBase):
+    """Stores BERTopic topic assignments for posts.
+
+    post_id references main.posts but without a FK constraint
+    since posts is a partitioned table.
+    """
+
+    __tablename__ = "post_topic"
+    __table_args__ = (Index("ix_post_topic_post_id", "post_id"),)
+
+    post_id: Mapped[int] = mapped_column(BigInteger)
+    topic_id: Mapped[int] = mapped_column(SmallInteger)
+    topic_label: Mapped[str | None]
+    model_version: Mapped[str | None]

pipelines/tools/Dockerfile.finetune

@@ -1,25 +0,0 @@
-# Unsloth fine-tuning container for Qwen 3.5 4B on RTX 3090.
-#
-# Build:
-#   docker build -f python/prompt_bench/Dockerfile.finetune -t bill-finetune .
-#
-# Run:
-#   docker run --rm --device=nvidia.com/gpu=all --ipc=host \
-#     -v $(pwd)/output:/workspace/output \
-#     -v $(pwd)/output/finetune_dataset.jsonl:/workspace/dataset.jsonl:ro \
-#     -v /zfs/models/hf:/models \
-#     bill-finetune \
-#     --dataset /workspace/dataset.jsonl \
-#     --output-dir /workspace/output/qwen-bill-summarizer
-
-FROM ghcr.io/unslothai/unsloth:latest
-
-RUN pip install --no-cache-dir typer
-
-WORKDIR /workspace
-COPY python/prompt_bench/finetune.py python/prompt_bench/finetune.py
-COPY config/prompts/summarization_prompts.toml config/prompts/summarization_prompts.toml
-COPY python/prompt_bench/__init__.py python/prompt_bench/__init__.py
-COPY python/__init__.py python/__init__.py
-
-ENTRYPOINT ["python", "-m", "pipelines.prompt_bench.finetune"]

pipelines/tools/prompt_bench.py

@@ -11,8 +11,8 @@ from typing import Annotated
 
 import typer
 
-from pipelines.tools.containers.lib import check_gpu_free
-from pipelines.tools.containers.vllm import start_vllm, stop_vllm
+from pipelines.containers.lib import check_gpu_free
+from pipelines.containers.vllm import start_vllm, stop_vllm
 from pipelines.tools.downloader import is_model_present
 from pipelines.tools.models import BenchmarkConfig
 from pipelines.tools.vllm_client import VLLMClient

pipelines/web/__init__.py

@@ -0,0 +1 @@
+"""FastAPI HTMX front end for the legislative database."""

pipelines/web/auth.py

@@ -0,0 +1,208 @@
+"""WorkOS AuthKit helpers for the FastAPI web app."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from functools import lru_cache
+from os import getenv
+from typing import Any
+
+from fastapi import Request
+from workos import WorkOSClient
+from workos.session import seal_session_from_auth_response
+
+
+@dataclass(frozen=True)
+class AuthConfig:
+    """Runtime configuration for WorkOS AuthKit."""
+
+    api_key: str
+    client_id: str
+    cookie_password: str
+    redirect_uri: str
+    logout_redirect_uri: str
+    session_cookie_name: str
+    organization_id: str
+
+    @property
+    def secure_cookies(self) -> bool:
+        return self.redirect_uri.startswith("https://")
+
+
+@dataclass(frozen=True)
+class AuthSession:
+    """Normalized auth session passed through the app."""
+
+    user_id: str
+    email: str
+    first_name: str | None
+    last_name: str | None
+    role_slugs: set[str]
+    organization_id: str | None
+    raw_user: Any
+    raw_session: Any
+
+    @property
+    def display_name(self) -> str:
+        parts = [part for part in (self.first_name, self.last_name) if part]
+        return " ".join(parts) if parts else self.email
+
+    @property
+    def is_admin(self) -> bool:
+        return "admin" in self.role_slugs
+
+
+@dataclass(frozen=True)
+class CallbackResult:
+    """Result of exchanging a WorkOS callback code."""
+
+    sealed_session: str
+    next_path: str
+
+
+def safe_next_path(value: str | None, default: str = "/dashboard") -> str:
+    """Allow only local relative redirect targets."""
+    if value and value.startswith("/") and not value.startswith("//"):
+        return value
+    return default
+
+
+def build_authorization_url(next_path: str) -> str:
+    """Build the WorkOS hosted login URL."""
+    config = get_auth_config()
+    return get_workos_client().user_management.get_authorization_url(
+        provider="authkit",
+        redirect_uri=config.redirect_uri,
+        state=safe_next_path(next_path),
+        organization_id=config.organization_id,
+    )
+
+
+def exchange_code(request: Request) -> CallbackResult:
+    """Exchange a WorkOS callback code for a sealed session cookie value."""
+    code = request.query_params.get("code")
+    if not code:
+        raise ValueError("Missing authentication code.")
+
+    config = get_auth_config()
+    auth_response = get_workos_client().user_management.authenticate_with_code(
+        code=code,
+        ip_address=_request_ip(request),
+        user_agent=request.headers.get("user-agent"),
+    )
+    sealed_session = seal_session_from_auth_response(
+        access_token=auth_response.access_token,
+        refresh_token=auth_response.refresh_token,
+        user=auth_response.user.to_dict(),
+        impersonator=auth_response.impersonator.to_dict()
+        if auth_response.impersonator is not None
+        else None,
+        cookie_password=config.cookie_password,
+    )
+
+    return CallbackResult(
+        sealed_session=sealed_session,
+        next_path=safe_next_path(request.query_params.get("state")),
+    )
+
+
+def get_current_session(request: Request) -> AuthSession | None:
+    """Load the current signed-in WorkOS session from the sealed cookie."""
+    cookie_name = getenv("WORKOS_SESSION_COOKIE_NAME", "workos_session")
+    sealed_session = request.cookies.get(cookie_name)
+    if not sealed_session:
+        return None
+
+    config = get_auth_config()
+    try:
+        session = get_workos_client().user_management.load_sealed_session(
+            session_data=sealed_session,
+            cookie_password=config.cookie_password,
+        )
+        auth_response = session.authenticate()
+    except ValueError:
+        return None
+    if not getattr(auth_response, "authenticated", False):
+        return None
+
+    user = auth_response.user or {}
+    organization_id = getattr(auth_response, "organization_id", None)
+    if config.organization_id and organization_id != config.organization_id:
+        return None
+    role_slugs = set(getattr(auth_response, "roles", None) or [])
+    role = getattr(auth_response, "role", None)
+    if role:
+        role_slugs.add(role)
+
+    return AuthSession(
+        user_id=_user_field(user, "id") or "",
+        email=_user_field(user, "email") or "",
+        first_name=_user_field(user, "first_name"),
+        last_name=_user_field(user, "last_name"),
+        role_slugs=role_slugs,
+        organization_id=organization_id,
+        raw_user=user,
+        raw_session=auth_response,
+    )
+
+
+def get_logout_url(request: Request) -> str:
+    """Return the WorkOS logout URL for the current sealed session."""
+    config = get_auth_config()
+    sealed_session = request.cookies.get(config.session_cookie_name)
+    if not sealed_session:
+        return config.logout_redirect_uri
+
+    try:
+        session = get_workos_client().user_management.load_sealed_session(
+            session_data=sealed_session,
+            cookie_password=config.cookie_password,
+        )
+        return session.get_logout_url(return_to=config.logout_redirect_uri)
+    except ValueError:
+        return config.logout_redirect_uri
+
+
+@lru_cache(maxsize=1)
+def get_auth_config() -> AuthConfig:
+    """Load and validate WorkOS environment configuration."""
+    values = {
+        "WORKOS_API_KEY": getenv("WORKOS_API_KEY"),
+        "WORKOS_CLIENT_ID": getenv("WORKOS_CLIENT_ID"),
+        "WORKOS_COOKIE_PASSWORD": getenv("WORKOS_COOKIE_PASSWORD"),
+        "WORKOS_ORGANIZATION_ID": getenv("WORKOS_ORGANIZATION_ID"),
+    }
+    missing = [name for name, value in values.items() if not value]
+    if missing:
+        raise RuntimeError(
+            "Missing WorkOS configuration: " + ", ".join(sorted(missing))
+        )
+
+    return AuthConfig(
+        api_key=values["WORKOS_API_KEY"] or "",
+        client_id=values["WORKOS_CLIENT_ID"] or "",
+        cookie_password=values["WORKOS_COOKIE_PASSWORD"] or "",
+        redirect_uri=getenv("WORKOS_REDIRECT_URI", "http://localhost:8000/callback"),
+        logout_redirect_uri=getenv("WORKOS_LOGOUT_REDIRECT_URI", "http://localhost:8000/"),
+        session_cookie_name=getenv("WORKOS_SESSION_COOKIE_NAME", "workos_session"),
+        organization_id=values["WORKOS_ORGANIZATION_ID"] or "",
+    )
+
+
+@lru_cache(maxsize=1)
+def get_workos_client():
+    """Create and cache the WorkOS SDK client."""
+    config = get_auth_config()
+    return WorkOSClient(api_key=config.api_key, client_id=config.client_id)
+
+
+def _request_ip(request: Request) -> str | None:
+    if request.client is None:
+        return None
+    return request.client.host
+
+
+def _user_field(user: Any, key: str) -> Any:
+    if isinstance(user, dict):
+        return user.get(key)
+    return getattr(user, key, None)

pipelines/web/db.py

@@ -0,0 +1,31 @@
+"""Database access for the FastAPI web app."""
+
+from __future__ import annotations
+
+from collections.abc import Iterator
+from contextlib import contextmanager
+from functools import lru_cache
+
+from sqlalchemy.engine import Engine
+from sqlalchemy.orm import Session
+
+from pipelines.orm.common import get_postgres_engine
+
+
+@lru_cache(maxsize=1)
+def get_engine() -> Engine:
+    """Return the lazily-created DATA_SCIENCE_DEV SQLAlchemy engine."""
+    return get_postgres_engine(name="DATA_SCIENCE_DEV")
+
+
+def validate_database_connection() -> None:
+    """Fail fast if the configured DATA_SCIENCE_DEV database is unavailable."""
+    with get_engine().connect():
+        pass
+
+
+@contextmanager
+def session_scope() -> Iterator[Session]:
+    """Yield a SQLAlchemy session for a read-only request."""
+    with Session(get_engine()) as session:
+        yield session

pipelines/web/main.py

@@ -0,0 +1,609 @@
+"""FastAPI app for the HTMX legislative dashboard."""
+
+from __future__ import annotations
+
+from contextlib import asynccontextmanager
+from dataclasses import dataclass
+import logging
+from os import getenv
+from pathlib import Path
+from typing import Any
+
+from fastapi import Depends, FastAPI, HTTPException, Request, Response, status
+from fastapi.responses import HTMLResponse, PlainTextResponse, RedirectResponse
+from fastapi.staticfiles import StaticFiles
+from fastapi.templating import Jinja2Templates
+
+from pipelines.web import auth, repository
+from pipelines.web.db import session_scope, validate_database_connection
+from pipelines.web.repository import Chamber, RankingResult
+from pipelines.web.scoring import normalize_issues
+from pipelines.web.svg import render_compare_radar_svg, render_score_history_svg
+
+BASE_DIR = Path(__file__).resolve().parent
+TEMPLATES_DIR = BASE_DIR / "templates"
+STATIC_DIR = BASE_DIR / "static"
+
+templates = Jinja2Templates(directory=TEMPLATES_DIR)
+logger = logging.getLogger(__name__)
+
+
+@asynccontextmanager
+async def lifespan(_: FastAPI):
+    """Validate database access when the CLI starts the web server."""
+    if getenv("PYTEST_CURRENT_TEST") is None:
+        validate_database_connection()
+    yield
+
+
+app = FastAPI(title="Nornsight Legislative Dashboard", lifespan=lifespan)
+app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
+
+
+@dataclass(frozen=True)
+class DashboardState:
+    """Dashboard query-string state."""
+
+    issues: list[str]
+    chamber: Chamber
+    congress: int | None
+    compare: list[int]
+
+
+@app.get("/healthz", response_class=PlainTextResponse)
+def healthz() -> str:
+    """Return a simple liveness response."""
+    return "ok"
+
+
+@app.get("/", response_class=HTMLResponse)
+def home(request: Request) -> Response:
+    """Render the public home page."""
+    current_user = auth.get_current_session(request)
+    return templates.TemplateResponse(
+        request,
+        "home.html",
+        {
+            **_auth_context(current_user),
+            "auth_error": request.query_params.get("auth_error") == "1",
+        },
+    )
+
+
+@app.get("/login")
+def login(request: Request) -> Response:
+    """Start the WorkOS hosted login flow."""
+    next_path = auth.safe_next_path(request.query_params.get("next"))
+    current_user = auth.get_current_session(request)
+    if current_user is not None:
+        return RedirectResponse(next_path, status_code=status.HTTP_303_SEE_OTHER)
+    return RedirectResponse(
+        auth.build_authorization_url(next_path),
+        status_code=status.HTTP_303_SEE_OTHER,
+    )
+
+
+@app.get("/callback")
+def callback(request: Request) -> Response:
+    """Exchange the WorkOS code for a sealed session cookie."""
+    try:
+        result = auth.exchange_code(request)
+    except Exception:
+        logger.exception("WorkOS callback exchange failed.")
+        response = RedirectResponse("/?auth_error=1", status_code=status.HTTP_303_SEE_OTHER)
+        _delete_auth_cookie(response)
+        return response
+
+    config = auth.get_auth_config()
+    response = RedirectResponse(result.next_path, status_code=status.HTTP_303_SEE_OTHER)
+    response.set_cookie(
+        config.session_cookie_name,
+        result.sealed_session,
+        httponly=True,
+        samesite="lax",
+        secure=config.secure_cookies,
+    )
+    return response
+
+
+@app.post("/logout")
+def logout(request: Request) -> Response:
+    """End the WorkOS session and clear the local sealed session cookie."""
+    response = RedirectResponse(auth.get_logout_url(request), status_code=status.HTTP_303_SEE_OTHER)
+    _delete_auth_cookie(response)
+    return response
+
+
+def require_user(request: Request) -> auth.AuthSession:
+    """Redirect unauthenticated users to the WorkOS sign-in flow."""
+    current_user = auth.get_current_session(request)
+    if current_user is not None:
+        return current_user
+    next_path = request.url.path
+    if request.url.query:
+        next_path = f"{next_path}?{request.url.query}"
+    login_url = request.url_for("login").include_query_params(next=next_path)
+    raise HTTPException(
+        status_code=status.HTTP_303_SEE_OTHER,
+        headers={"Location": str(login_url)},
+    )
+
+
+def require_admin(current_user: auth.AuthSession = Depends(require_user)) -> auth.AuthSession:
+    """Restrict a route to WorkOS users with the admin role."""
+    if current_user.is_admin:
+        return current_user
+    raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Admin access required.")
+
+
+@app.get("/dashboard", response_class=HTMLResponse)
+def dashboard(
+    request: Request, current_user: auth.AuthSession = Depends(require_user)
+) -> Response:
+    """Render the full dashboard page."""
+    context = {**_auth_context(current_user), **_dashboard_context(request)}
+    if request.headers.get("hx-request") == "true":
+        return templates.TemplateResponse(request, "partials/_dashboard.html", context)
+    return templates.TemplateResponse(request, "dashboard.html", context)
+
+
+@app.get("/partials/dashboard", response_class=HTMLResponse)
+def dashboard_partial(request: Request, _: auth.AuthSession = Depends(require_user)) -> Response:
+    """Render the filter-dependent dashboard body."""
+    context = _dashboard_context(request)
+    return templates.TemplateResponse(request, "partials/_dashboard.html", context)
+
+
+@app.get("/partials/issues", response_class=HTMLResponse)
+def issues_partial(request: Request, _: auth.AuthSession = Depends(require_user)) -> Response:
+    """Render only issue filters."""
+    context = _dashboard_context(request)
+    return templates.TemplateResponse(request, "partials/_issue_filters.html", context)
+
+
+@app.get("/partials/rankings", response_class=HTMLResponse)
+def rankings_partial(request: Request, _: auth.AuthSession = Depends(require_user)) -> Response:
+    """Render only ranking panels."""
+    context = _dashboard_context(request)
+    return templates.TemplateResponse(request, "partials/_rankings.html", context)
+
+
+@app.get("/partials/chart", response_class=HTMLResponse)
+def chart_partial(request: Request, _: auth.AuthSession = Depends(require_user)) -> Response:
+    """Render only the SVG chart panel."""
+    context = _dashboard_context(request)
+    return templates.TemplateResponse(request, "partials/_chart.html", context)
+
+
+@app.get("/legislators", response_class=HTMLResponse)
+def legislators(
+    request: Request, current_user: auth.AuthSession = Depends(require_user)
+) -> Response:
+    """Render the legislator profile/search page."""
+    context = {**_auth_context(current_user), **_legislators_context(request)}
+    return templates.TemplateResponse(request, "legislators.html", context)
+
+
+@app.get("/partials/legislator-suggestions", response_class=HTMLResponse)
+def legislator_suggestions_partial(
+    request: Request, _: auth.AuthSession = Depends(require_user)
+) -> Response:
+    """Render legislator search suggestions for the HTMX typeahead."""
+    query = request.query_params.get("q", "").strip()
+    context: dict[str, Any] = {
+        "q": query if len(query) >= 2 else "",
+        "matches": [],
+        "build_legislator_url": _build_legislator_url,
+    }
+    if len(query) >= 2:
+        with session_scope() as session:
+            context["matches"] = repository.search_legislators(
+                session, query=query, limit=8
+            )
+    return templates.TemplateResponse(
+        request, "partials/_legislator_suggestions.html", context
+    )
+
+
+@app.get("/compare", response_class=HTMLResponse)
+def compare(
+    request: Request, current_user: auth.AuthSession = Depends(require_user)
+) -> Response:
+    """Render the legislator radar comparison page."""
+    context = {**_auth_context(current_user), **_compare_context(request)}
+    return templates.TemplateResponse(request, "compare.html", context)
+
+
+@app.get("/admin", response_class=HTMLResponse)
+def admin_page(
+    request: Request, current_user: auth.AuthSession = Depends(require_admin)
+) -> Response:
+    """Render the admin-only placeholder page."""
+    return templates.TemplateResponse(
+        request,
+        "admin.html",
+        {
+            **_auth_context(current_user),
+            "organization_id": auth.get_auth_config().organization_id,
+        },
+    )
+
+
+def _dashboard_context(request: Request) -> dict[str, Any]:
+    state = _parse_state(request)
+    base_context: dict[str, Any] = {
+        "state": state,
+        "issues": state.issues,
+        "selected_issue_label": " + ".join(state.issues) if state.issues else "",
+        "chamber": state.chamber,
+        "congress": state.congress,
+        "latest_score_year": None,
+        "last_updated": None,
+        "suggestions": [],
+        "rankings": RankingResult(supportive=[], opposed=[]),
+        "compare": [],
+        "chart_svg": render_score_history_svg([]),
+        "chart_series": [],
+        "has_votes": False,
+        "has_scores": False,
+        "empty_message": "",
+        "build_url": _build_url,
+        "build_dashboard_partial_url": _build_dashboard_partial_url,
+        "toggle_compare": _toggle_compare,
+    }
+    with session_scope() as session:
+        congress = state.congress or repository.latest_congress(session)
+        base_context["congress"] = congress
+        base_context["has_scores"] = repository.has_scores(session)
+        base_context["latest_score_year"] = repository.latest_score_year(session)
+        base_context["last_updated"] = repository.latest_vote_date(session, congress)
+        base_context["suggestions"] = repository.issue_suggestions(
+            session, congress=congress
+        )
+
+        if not base_context["has_scores"]:
+            base_context["empty_message"] = (
+                "No legislator scores are loaded yet. Run the score calculator first."
+            )
+            return base_context
+
+        if congress is None:
+            base_context["congress"] = "Computed"
+
+        if not state.issues:
+            base_context["empty_message"] = (
+                "Choose one or more issue areas to calculate roll-call support scores."
+            )
+            return base_context
+
+        rankings = repository.get_rankings(
+            session,
+            issues=state.issues,
+            chamber=state.chamber,
+            congress=congress,
+        )
+        base_context["rankings"] = rankings
+        compare = state.compare or [row.legislator_id for row in rankings.supportive[:2]]
+        base_context["compare"] = compare
+        if not rankings.supportive and not rankings.opposed:
+            base_context["empty_message"] = "No matching roll-call votes."
+            return base_context
+
+        history = repository.get_score_history(
+            session,
+            issues=state.issues,
+            chamber=state.chamber,
+            congress=congress,
+            legislator_ids=compare,
+        )
+        base_context["chart_series"] = history
+        base_context["chart_svg"] = render_score_history_svg(history)
+    return base_context
+
+
+def _parse_state(request: Request) -> DashboardState:
+    query = request.query_params
+    chamber = query.get("chamber", "senate").lower()
+    if chamber not in {"house", "senate", "all"}:
+        chamber = "senate"
+    congress = _parse_int(query.get("congress"))
+    compare = [
+        value
+        for value in (_parse_int(raw) for raw in query.getlist("compare"))
+        if value is not None
+    ]
+    return DashboardState(
+        issues=normalize_issues(query.getlist("issues")),
+        chamber=chamber,  # type: ignore[arg-type]
+        congress=congress,
+        compare=compare,
+    )
+
+
+def _legislators_context(request: Request) -> dict[str, Any]:
+    query = request.query_params.get("q", "").strip()
+    legislator_id = _parse_int(request.query_params.get("legislator_id"))
+    selected_topic = request.query_params.get("topic", "").strip()
+    per_page = _parse_per_page(request.query_params.get("per_page"))
+    page = max(_parse_int(request.query_params.get("page")) or 1, 1)
+    base_context: dict[str, Any] = {
+        "q": query,
+        "profile": None,
+        "matches": [],
+        "result_count": 0,
+        "page": page,
+        "per_page": per_page,
+        "per_page_options": [10, 25, 50],
+        "total_pages": 1,
+        "previous_page": None,
+        "next_page": None,
+        "selected_topic": selected_topic,
+        "history_svg": render_score_history_svg([]),
+        "history_series": [],
+        "build_legislator_url": _build_legislator_url,
+        "build_legislator_search_url": _build_legislator_search_url,
+    }
+    with session_scope() as session:
+        result_count = repository.count_legislators(session, query=query) if query else 0
+        total_pages = max((result_count + per_page - 1) // per_page, 1)
+        if page > total_pages:
+            page = total_pages
+            base_context["page"] = page
+        matches = (
+            repository.search_legislators(
+                session,
+                query=query,
+                limit=per_page,
+                offset=(page - 1) * per_page,
+            )
+            if query
+            else []
+        )
+        profile = repository.get_legislator_profile(
+            session, legislator_id=legislator_id, query=None
+        )
+        base_context["profile"] = profile
+        base_context["matches"] = matches
+        base_context["result_count"] = result_count
+        base_context["total_pages"] = total_pages
+        base_context["previous_page"] = page - 1 if page > 1 else None
+        base_context["next_page"] = page + 1 if page < total_pages else None
+        if profile is None:
+            return base_context
+        if not selected_topic:
+            if profile.bottom_topics:
+                selected_topic = profile.bottom_topics[0].topic
+            elif profile.top_topics:
+                selected_topic = profile.top_topics[0].topic
+        base_context["selected_topic"] = selected_topic
+        if selected_topic:
+            history = repository.get_single_legislator_history(
+                session,
+                legislator_id=profile.legislator.legislator_id,
+                topic=selected_topic,
+            )
+            base_context["history_series"] = history
+            base_context["history_svg"] = render_score_history_svg(history)
+    return base_context
+
+
+def _compare_context(request: Request) -> dict[str, Any]:
+    selected_legislators = _parse_int_list(
+        request.query_params.getlist("legislator_id")
+        or request.query_params.getlist("compare")
+    )[:4]
+    topics = normalize_issues(
+        request.query_params.getlist("topic") or request.query_params.getlist("issues")
+    )[:8]
+    query = request.query_params.get("q", "").strip()
+    base_context: dict[str, Any] = {
+        "selected_legislators": selected_legislators,
+        "selected_legislator_options": [],
+        "topics": topics,
+        "q": query,
+        "series": [],
+        "radar_svg": render_compare_radar_svg([], []),
+        "legislator_options": [],
+        "topic_options": [],
+        "build_compare_url": _build_compare_url,
+    }
+    with session_scope() as session:
+        default_legislators, default_topics = repository.get_compare_defaults(session)
+        if not selected_legislators and not query:
+            selected_legislators = default_legislators[:3]
+        if not topics:
+            topics = default_topics[:6]
+        selected_legislator_options = repository.get_legislator_options(
+            session, selected_legislators
+        )
+        series = repository.get_compare_radar_series(
+            session, legislator_ids=selected_legislators, topics=topics
+        )
+        base_context.update(
+            {
+                "selected_legislators": selected_legislators,
+                "selected_legislator_options": selected_legislator_options,
+                "topics": topics,
+                "q": query,
+                "series": series,
+                "radar_svg": render_compare_radar_svg(topics, series),
+                "legislator_options": repository.search_legislators(
+                    session, query=query or None, limit=12
+                ),
+                "topic_options": repository.issue_suggestions(
+                    session, congress=None, limit=12
+                ),
+            }
+        )
+    return base_context
+
+
+def _parse_int(value: str | None) -> int | None:
+    if value is None or value == "":
+        return None
+    try:
+        return int(value)
+    except ValueError:
+        return None
+
+
+def _parse_int_list(values: list[str]) -> list[int]:
+    parsed: list[int] = []
+    seen: set[int] = set()
+    for value in values:
+        integer = _parse_int(value)
+        if integer is not None and integer not in seen:
+            parsed.append(integer)
+            seen.add(integer)
+    return parsed
+
+
+def _parse_per_page(value: str | None) -> int:
+    parsed = _parse_int(value)
+    return parsed if parsed in {10, 25, 50} else 10
+
+
+def _build_url(
+    request: Request,
+    *,
+    issues: list[str] | None = None,
+    chamber: str | None = None,
+    congress: int | None = None,
+    compare: list[int] | None = None,
+) -> str:
+    params: list[tuple[str, str]] = []
+    chosen_issues = (
+        issues
+        if issues is not None
+        else normalize_issues(request.query_params.getlist("issues"))
+    )
+    chosen_chamber = (
+        chamber
+        if chamber is not None
+        else request.query_params.get("chamber", "senate")
+    )
+    chosen_congress = (
+        congress
+        if congress is not None
+        else _parse_int(request.query_params.get("congress"))
+    )
+    chosen_compare = (
+        compare
+        if compare is not None
+        else [
+            value
+            for value in (
+                _parse_int(raw) for raw in request.query_params.getlist("compare")
+            )
+            if value is not None
+        ]
+    )
+    for issue in chosen_issues:
+        params.append(("issues", issue))
+    params.append(("chamber", chosen_chamber))
+    if chosen_congress is not None:
+        params.append(("congress", str(chosen_congress)))
+    for legislator_id in chosen_compare:
+        params.append(("compare", str(legislator_id)))
+    if not params:
+        return "/dashboard"
+    from urllib.parse import urlencode
+
+    return f"/dashboard?{urlencode(params, doseq=True)}"
+
+
+def _build_dashboard_partial_url(
+    request: Request,
+    *,
+    issues: list[str] | None = None,
+    chamber: str | None = None,
+    congress: int | None = None,
+    compare: list[int] | None = None,
+) -> str:
+    """Return the HTMX endpoint matching the current dashboard query state."""
+    dashboard_url = _build_url(
+        request,
+        issues=issues,
+        chamber=chamber,
+        congress=congress,
+        compare=compare,
+    )
+    return dashboard_url.replace("/dashboard", "/partials/dashboard", 1)
+
+
+def _toggle_compare(compare: list[int], legislator_id: int) -> list[int]:
+    """Return compare IDs with the legislator added or removed."""
+    if legislator_id in compare:
+        return [value for value in compare if value != legislator_id]
+    return [*compare, legislator_id]
+
+
+def _build_legislator_url(
+    *,
+    legislator_id: int | None = None,
+    q: str | None = None,
+    topic: str | None = None,
+    per_page: int | None = None,
+) -> str:
+    from urllib.parse import urlencode
+
+    params: list[tuple[str, str]] = []
+    if legislator_id is not None:
+        params.append(("legislator_id", str(legislator_id)))
+    if q:
+        params.append(("q", q))
+    if topic:
+        params.append(("topic", topic))
+    if per_page in {10, 25, 50} and per_page != 10:
+        params.append(("per_page", str(per_page)))
+    return f"/legislators?{urlencode(params)}" if params else "/legislators"
+
+
+def _build_legislator_search_url(
+    *,
+    q: str,
+    per_page: int,
+    page: int = 1,
+) -> str:
+    from urllib.parse import urlencode
+
+    params: list[tuple[str, str]] = []
+    if q:
+        params.append(("q", q))
+    params.append(("per_page", str(per_page)))
+    if page > 1:
+        params.append(("page", str(page)))
+    return f"/legislators?{urlencode(params)}" if params else "/legislators"
+
+
+def _build_compare_url(
+    *,
+    legislator_ids: list[int],
+    topics: list[str],
+    q: str | None = None,
+) -> str:
+    from urllib.parse import urlencode
+
+    params: list[tuple[str, str]] = []
+    for legislator_id in legislator_ids[:4]:
+        params.append(("legislator_id", str(legislator_id)))
+    for topic in topics[:8]:
+        params.append(("topic", topic))
+    if q:
+        params.append(("q", q))
+    return f"/compare?{urlencode(params, doseq=True)}" if params else "/compare"
+
+
+def _auth_context(current_user: auth.AuthSession | None) -> dict[str, Any]:
+    """Shared template context for auth-aware navigation."""
+    return {
+        "is_authenticated": current_user is not None,
+        "is_admin": current_user.is_admin if current_user is not None else False,
+        "current_user_name": current_user.display_name if current_user is not None else "",
+        "current_user_email": current_user.email if current_user is not None else "",
+    }
+
+
+def _delete_auth_cookie(response: Response) -> None:
+    """Delete the sealed WorkOS session cookie."""
+    response.delete_cookie(getenv("WORKOS_SESSION_COOKIE_NAME", "workos_session"))

pipelines/web/repository.py

@@ -0,0 +1,670 @@
+"""Congress database queries for the web dashboard."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from datetime import date
+from typing import Literal
+
+from sqlalchemy import ColumnElement, Select, case, desc, false, func, or_, select, true
+from sqlalchemy.orm import Session
+
+from pipelines.orm.data_science_dev.congress import (
+    BillTopic,
+    Legislator,
+    LegislatorScore,
+    Vote,
+)
+from pipelines.web.scoring import normalize_issues
+
+Chamber = Literal["house", "senate", "all"]
+
+STATE_ALIASES = {
+    "alabama": "AL",
+    "alaska": "AK",
+    "arizona": "AZ",
+    "arkansas": "AR",
+    "california": "CA",
+    "colorado": "CO",
+    "connecticut": "CT",
+    "delaware": "DE",
+    "florida": "FL",
+    "georgia": "GA",
+    "hawaii": "HI",
+    "idaho": "ID",
+    "illinois": "IL",
+    "indiana": "IN",
+    "iowa": "IA",
+    "kansas": "KS",
+    "kentucky": "KY",
+    "louisiana": "LA",
+    "maine": "ME",
+    "maryland": "MD",
+    "massachusetts": "MA",
+    "michigan": "MI",
+    "minnesota": "MN",
+    "mississippi": "MS",
+    "missouri": "MO",
+    "montana": "MT",
+    "nebraska": "NE",
+    "nevada": "NV",
+    "new hampshire": "NH",
+    "new jersey": "NJ",
+    "new mexico": "NM",
+    "new york": "NY",
+    "north carolina": "NC",
+    "north dakota": "ND",
+    "ohio": "OH",
+    "oklahoma": "OK",
+    "oregon": "OR",
+    "pennsylvania": "PA",
+    "rhode island": "RI",
+    "south carolina": "SC",
+    "south dakota": "SD",
+    "tennessee": "TN",
+    "texas": "TX",
+    "utah": "UT",
+    "vermont": "VT",
+    "virginia": "VA",
+    "washington": "WA",
+    "west virginia": "WV",
+    "wisconsin": "WI",
+    "wyoming": "WY",
+    "district of columbia": "DC",
+}
+
+
+@dataclass(frozen=True)
+class RankingRow:
+    """A legislator support score row."""
+
+    legislator_id: int
+    display_name: str
+    party: str | None
+    state: str | None
+    chamber: str | None
+    score: float | None
+    supportive: int
+    opposed: int
+
+    @property
+    def total(self) -> int:
+        return self.supportive + self.opposed
+
+
+@dataclass(frozen=True)
+class RankingResult:
+    """Supportive and opposed ranking lists."""
+
+    supportive: list[RankingRow]
+    opposed: list[RankingRow]
+
+
+@dataclass(frozen=True)
+class TimePoint:
+    """One yearly chart point."""
+
+    year: int
+    score: float
+
+
+@dataclass(frozen=True)
+class ChartSeries:
+    """One legislator score-history series."""
+
+    legislator_id: int
+    label: str
+    party: str | None
+    state: str | None
+    points: list[TimePoint]
+
+
+@dataclass(frozen=True)
+class TopicScore:
+    """Average score for one topic."""
+
+    topic: str
+    score: float
+    count: int
+
+
+@dataclass(frozen=True)
+class LegislatorOption:
+    """Compact legislator metadata for search and comparison controls."""
+
+    legislator_id: int
+    display_name: str
+    party: str | None
+    state: str | None
+    chamber: str | None
+
+
+@dataclass(frozen=True)
+class LegislatorProfile:
+    """Legislator metadata plus issue score summary."""
+
+    legislator: LegislatorOption
+    overall_score: float | None
+    serving_since: int | None
+    top_topics: list[TopicScore]
+    bottom_topics: list[TopicScore]
+
+
+@dataclass(frozen=True)
+class RadarSeries:
+    """One legislator polygon for the compare radar chart."""
+
+    legislator: LegislatorOption
+    average_score: float | None
+    scores_by_topic: dict[str, float]
+
+
+def latest_congress(session: Session) -> int | None:
+    """Return the latest congress number in the vote table."""
+    return session.scalar(select(func.max(Vote.congress)))
+
+
+def latest_vote_date(session: Session, congress: int | None = None) -> date | None:
+    """Return the most recent vote date, optionally scoped to a congress."""
+    stmt = select(func.max(Vote.vote_date))
+    if congress is not None:
+        stmt = stmt.where(Vote.congress == congress)
+    return session.scalar(stmt)
+
+
+def latest_score_year(session: Session) -> int | None:
+    """Return the latest year in the precomputed legislator score table."""
+    return session.scalar(select(func.max(LegislatorScore.year)))
+
+
+def has_scores(session: Session) -> bool:
+    """Return True when the database has at least one precomputed score."""
+    return session.scalar(select(LegislatorScore.id).limit(1)) is not None
+
+
+def issue_suggestions(
+    session: Session,
+    *,
+    congress: int | None,
+    limit: int = 12,
+) -> list[str]:
+    """Return common precomputed score topics for issue filter suggestions."""
+    stmt = (
+        select(LegislatorScore.topic, func.count(LegislatorScore.id).label("score_count"))
+        .where(LegislatorScore.topic != "")
+        .group_by(LegislatorScore.topic)
+        .order_by(desc("score_count"), LegislatorScore.topic)
+        .limit(limit)
+    )
+    suggestions = [row[0] for row in session.execute(stmt).all()]
+    if suggestions:
+        return suggestions
+
+    fallback = (
+        select(BillTopic.topic, func.count(BillTopic.id).label("topic_count"))
+        .where(BillTopic.topic != "")
+        .group_by(BillTopic.topic)
+        .order_by(desc("topic_count"), BillTopic.topic)
+        .limit(limit)
+    )
+    return [row[0] for row in session.execute(fallback).all()]
+
+
+def ranking_query(
+    *,
+    issues: list[str],
+    chamber: Chamber,
+    congress: int,
+) -> Select:
+    """Build the aggregate ranking query from precomputed scores."""
+    average_score = func.avg(LegislatorScore.score).label("score")
+    supportive = func.sum(case((LegislatorScore.score >= 50, 1), else_=0)).label(
+        "supportive"
+    )
+    opposed = func.sum(case((LegislatorScore.score < 50, 1), else_=0)).label("opposed")
+
+    stmt = (
+        select(
+            Legislator.id,
+            Legislator.official_full_name,
+            Legislator.last_name,
+            Legislator.current_party,
+            Legislator.current_state,
+            Legislator.current_chamber,
+            average_score,
+            supportive,
+            opposed,
+        )
+        .join(LegislatorScore, LegislatorScore.legislator_id == Legislator.id)
+        .where(_score_topic_match_condition(issues))
+        .group_by(
+            Legislator.id,
+            Legislator.official_full_name,
+            Legislator.last_name,
+            Legislator.current_party,
+            Legislator.current_state,
+            Legislator.current_chamber,
+        )
+    )
+    if chamber != "all":
+        stmt = stmt.where(Legislator.current_chamber == _db_chamber(chamber))
+    return stmt
+
+
+def get_rankings(
+    session: Session,
+    *,
+    issues: list[str],
+    chamber: Chamber,
+    congress: int,
+    limit: int = 10,
+) -> RankingResult:
+    """Return top supportive and opposed legislators from precomputed scores."""
+    rows = [
+        _ranking_row(row)
+        for row in session.execute(
+            ranking_query(issues=issues, chamber=chamber, congress=congress)
+        )
+    ]
+    scored = [row for row in rows if row.score is not None]
+    supportive = sorted(
+        scored, key=lambda row: (-float(row.score), -row.total, row.display_name)
+    )[:limit]
+    opposed = sorted(
+        scored, key=lambda row: (float(row.score), -row.total, row.display_name)
+    )[:limit]
+    return RankingResult(supportive=supportive, opposed=opposed)
+
+
+def get_score_history(
+    session: Session,
+    *,
+    issues: list[str],
+    chamber: Chamber,
+    congress: int,
+    legislator_ids: list[int],
+) -> list[ChartSeries]:
+    """Return yearly score history from precomputed scores."""
+    if not legislator_ids:
+        return []
+
+    average_score = func.avg(LegislatorScore.score).label("score")
+    stmt = (
+        select(
+            Legislator.id,
+            Legislator.official_full_name,
+            Legislator.last_name,
+            Legislator.current_party,
+            Legislator.current_state,
+            LegislatorScore.year,
+            average_score,
+        )
+        .join(LegislatorScore, LegislatorScore.legislator_id == Legislator.id)
+        .where(
+            Legislator.id.in_(legislator_ids),
+            _score_topic_match_condition(issues),
+        )
+        .group_by(
+            Legislator.id,
+            Legislator.official_full_name,
+            Legislator.last_name,
+            Legislator.current_party,
+            Legislator.current_state,
+            LegislatorScore.year,
+        )
+        .order_by(Legislator.id, LegislatorScore.year)
+    )
+    if chamber != "all":
+        stmt = stmt.where(Legislator.current_chamber == _db_chamber(chamber))
+
+    by_legislator: dict[int, ChartSeries] = {}
+    for row in session.execute(stmt):
+        if row.score is None:
+            continue
+        series = by_legislator.setdefault(
+            row.id,
+            ChartSeries(
+                legislator_id=row.id,
+                label=_display_name(row.official_full_name, row.last_name),
+                party=row.current_party,
+                state=row.current_state,
+                points=[],
+            ),
+        )
+        series.points.append(TimePoint(year=int(row.year), score=float(row.score)))
+    return list(by_legislator.values())
+
+
+def _ranking_row(row: object) -> RankingRow:
+    return RankingRow(
+        legislator_id=row.id,
+        display_name=_display_name(row.official_full_name, row.last_name),
+        party=row.current_party,
+        state=row.current_state,
+        chamber=row.current_chamber,
+        score=float(row.score) if row.score is not None else None,
+        supportive=row.supportive or 0,
+        opposed=row.opposed or 0,
+    )
+
+
+def _score_topic_match_condition(
+    issues: list[str] | tuple[str, ...],
+) -> ColumnElement[bool]:
+    normalized = normalize_issues(list(issues))
+    if not normalized:
+        return false()
+    return or_(*(LegislatorScore.topic.ilike(f"%{issue}%") for issue in normalized))
+
+
+def search_legislators(
+    session: Session,
+    *,
+    query: str | None = None,
+    limit: int = 12,
+    offset: int = 0,
+) -> list[LegislatorOption]:
+    """Search ingested legislators, preferring those with computed scores."""
+    return [
+        _legislator_option(row)
+        for row in session.execute(
+            legislator_search_query(query=query, limit=limit, offset=offset)
+        )
+    ]
+
+
+def count_legislators(session: Session, *, query: str | None = None) -> int:
+    """Return the total number of legislators matching a search query."""
+    return int(
+        session.scalar(
+            select(func.count(Legislator.id)).where(_legislator_search_condition(query))
+        )
+        or 0
+    )
+
+
+def get_legislator_options(
+    session: Session, legislator_ids: list[int]
+) -> list[LegislatorOption]:
+    """Return legislator options in the same order as the selected IDs."""
+    options = {
+        option.legislator_id: option
+        for option in (
+            _get_legislator_option(session, legislator_id)
+            for legislator_id in legislator_ids
+        )
+        if option is not None
+    }
+    return [
+        options[legislator_id]
+        for legislator_id in legislator_ids
+        if legislator_id in options
+    ]
+
+
+def legislator_search_query(
+    *,
+    query: str | None = None,
+    limit: int = 12,
+    offset: int = 0,
+) -> Select:
+    """Build the legislator search query used by profile and compare controls."""
+    score_count = func.count(LegislatorScore.id).label("score_count")
+    stmt = (
+        select(
+            Legislator.id,
+            Legislator.official_full_name,
+            Legislator.last_name,
+            Legislator.current_party,
+            Legislator.current_state,
+            Legislator.current_chamber,
+            score_count,
+        )
+        .outerjoin(LegislatorScore, LegislatorScore.legislator_id == Legislator.id)
+        .group_by(
+            Legislator.id,
+            Legislator.official_full_name,
+            Legislator.first_name,
+            Legislator.last_name,
+            Legislator.current_party,
+            Legislator.current_state,
+            Legislator.current_chamber,
+            Legislator.bioguide_id,
+        )
+        .order_by(desc("score_count"), Legislator.last_name, Legislator.first_name)
+        .limit(limit)
+        .offset(offset)
+    )
+    return stmt.where(_legislator_search_condition(query))
+
+
+def _legislator_search_condition(query: str | None) -> ColumnElement[bool]:
+    cleaned_query = query.strip() if query else ""
+    if not cleaned_query:
+        return true()
+
+    pattern = f"%{cleaned_query}%"
+    state_alias = _state_alias(cleaned_query)
+    conditions: list[ColumnElement[bool]] = [
+        Legislator.official_full_name.ilike(pattern),
+        Legislator.first_name.ilike(pattern),
+        Legislator.last_name.ilike(pattern),
+        Legislator.current_state.ilike(pattern),
+        Legislator.bioguide_id.ilike(pattern),
+    ]
+    if state_alias is not None:
+        conditions.append(Legislator.current_state == state_alias)
+    return or_(*conditions)
+
+
+def _state_alias(query: str) -> str | None:
+    normalized = " ".join(query.lower().replace(".", "").split())
+    if len(normalized) == 2 and normalized.isalpha():
+        return normalized.upper()
+    return STATE_ALIASES.get(normalized)
+
+
+def get_legislator_profile(
+    session: Session,
+    *,
+    legislator_id: int | None = None,
+    query: str | None = None,
+) -> LegislatorProfile | None:
+    """Return the selected legislator profile and top/bottom topic scores."""
+    selected = _get_legislator_option(session, legislator_id)
+    cleaned_query = query.strip() if query else ""
+    if selected is None and cleaned_query:
+        matches = search_legislators(session, query=query, limit=1)
+        selected = matches[0] if matches else None
+    if selected is None:
+        return None
+
+    topic_scores = get_legislator_topic_scores(
+        session, legislator_id=selected.legislator_id
+    )
+    top_topics = sorted(topic_scores, key=lambda item: (-item.score, item.topic))[:3]
+    bottom_topics = sorted(topic_scores, key=lambda item: (item.score, item.topic))[:3]
+    overall_score = session.scalar(
+        select(func.avg(LegislatorScore.score)).where(
+            LegislatorScore.legislator_id == selected.legislator_id
+        )
+    )
+    serving_since = session.scalar(
+        select(func.min(LegislatorScore.year)).where(
+            LegislatorScore.legislator_id == selected.legislator_id
+        )
+    )
+    return LegislatorProfile(
+        legislator=selected,
+        overall_score=float(overall_score) if overall_score is not None else None,
+        serving_since=int(serving_since) if serving_since is not None else None,
+        top_topics=top_topics,
+        bottom_topics=bottom_topics,
+    )
+
+
+def get_legislator_topic_scores(
+    session: Session,
+    *,
+    legislator_id: int,
+) -> list[TopicScore]:
+    """Return all average topic scores for one legislator."""
+    rows = session.execute(
+        select(
+            LegislatorScore.topic,
+            func.avg(LegislatorScore.score).label("score"),
+            func.count(LegislatorScore.id).label("count"),
+        )
+        .where(LegislatorScore.legislator_id == legislator_id)
+        .group_by(LegislatorScore.topic)
+        .order_by(LegislatorScore.topic)
+    )
+    return [
+        TopicScore(topic=row.topic, score=float(row.score), count=row.count)
+        for row in rows
+        if row.score is not None
+    ]
+
+
+def get_single_legislator_history(
+    session: Session,
+    *,
+    legislator_id: int,
+    topic: str,
+) -> list[ChartSeries]:
+    """Return score history for one legislator/topic pair."""
+    option = _get_legislator_option(session, legislator_id)
+    if option is None:
+        return []
+
+    rows = session.execute(
+        select(
+            LegislatorScore.year,
+            func.avg(LegislatorScore.score).label("score"),
+        )
+        .where(
+            LegislatorScore.legislator_id == legislator_id,
+            LegislatorScore.topic == topic,
+        )
+        .group_by(LegislatorScore.year)
+        .order_by(LegislatorScore.year)
+    )
+    points = [
+        TimePoint(year=int(row.year), score=float(row.score))
+        for row in rows
+        if row.score is not None
+    ]
+    return [
+        ChartSeries(
+            legislator_id=option.legislator_id,
+            label=option.display_name,
+            party=option.party,
+            state=option.state,
+            points=points,
+        )
+    ]
+
+
+def get_compare_defaults(session: Session) -> tuple[list[int], list[str]]:
+    """Return default compare legislators and topics."""
+    legislators = search_legislators(session, limit=3)
+    topics = issue_suggestions(session, congress=None, limit=6)
+    return [item.legislator_id for item in legislators], topics
+
+
+def get_compare_radar_series(
+    session: Session,
+    *,
+    legislator_ids: list[int],
+    topics: list[str],
+) -> list[RadarSeries]:
+    """Return radar chart scores for selected legislators and topics."""
+    if not legislator_ids:
+        return []
+
+    options = {
+        option.legislator_id: option
+        for option in (
+            _get_legislator_option(session, legislator_id)
+            for legislator_id in legislator_ids
+        )
+        if option is not None
+    }
+    if not options:
+        return []
+
+    scores: dict[int, dict[str, float]] = {
+        legislator_id: {} for legislator_id in options
+    }
+    if topics:
+        rows = session.execute(
+            select(
+                LegislatorScore.legislator_id,
+                LegislatorScore.topic,
+                func.avg(LegislatorScore.score).label("score"),
+            )
+            .where(
+                LegislatorScore.legislator_id.in_(list(options)),
+                LegislatorScore.topic.in_(topics),
+            )
+            .group_by(LegislatorScore.legislator_id, LegislatorScore.topic)
+        )
+        for row in rows:
+            scores[row.legislator_id][row.topic] = float(row.score)
+
+    series: list[RadarSeries] = []
+    for legislator_id in legislator_ids:
+        option = options.get(legislator_id)
+        if option is None:
+            continue
+        topic_scores = scores.get(legislator_id, {})
+        values = list(topic_scores.values())
+        series.append(
+            RadarSeries(
+                legislator=option,
+                average_score=sum(values) / len(values) if values else None,
+                scores_by_topic=topic_scores,
+            )
+        )
+    return series
+
+
+def _display_name(official_full_name: str | None, last_name: str | None) -> str:
+    if official_full_name:
+        parts = official_full_name.split()
+        if len(parts) > 1:
+            return f"{parts[-1]}, {' '.join(parts[:-1])}"
+        return official_full_name
+    return last_name or "Unknown"
+
+
+def _legislator_option(row: object) -> LegislatorOption:
+    return LegislatorOption(
+        legislator_id=row.id,
+        display_name=_display_name(row.official_full_name, row.last_name),
+        party=row.current_party,
+        state=row.current_state,
+        chamber=row.current_chamber,
+    )
+
+
+def _get_legislator_option(
+    session: Session, legislator_id: int | None
+) -> LegislatorOption | None:
+    if legislator_id is None:
+        return None
+    row = session.execute(
+        select(
+            Legislator.id,
+            Legislator.official_full_name,
+            Legislator.last_name,
+            Legislator.current_party,
+            Legislator.current_state,
+            Legislator.current_chamber,
+        ).where(Legislator.id == legislator_id)
+    ).first()
+    return _legislator_option(row) if row is not None else None
+
+
+def _db_chamber(chamber: Chamber) -> str:
+    return {"house": "House", "senate": "Senate", "all": "all"}[chamber]

pipelines/web/scoring.py

@@ -0,0 +1,100 @@
+"""Issue matching and voting score helpers."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+from sqlalchemy import ColumnElement, false, func, or_
+from sqlalchemy.sql.elements import BinaryExpression
+
+from pipelines.orm.data_science_dev.congress import Bill, BillTopicPosition, Vote
+
+SUPPORT_POSITIONS = frozenset({"yea", "aye", "yes"})
+OPPOSE_POSITIONS = frozenset({"nay", "no"})
+
+
+@dataclass(frozen=True)
+class ScoreCounts:
+    """Support/opposition counts for one legislator or time bucket."""
+
+    supportive: int
+    opposed: int
+
+    @property
+    def total(self) -> int:
+        return self.supportive + self.opposed
+
+
+def normalize_position(position: str | None) -> str | None:
+    """Normalize a raw roll-call position into support/oppose/ignore buckets."""
+    if position is None:
+        return None
+    value = position.strip().lower()
+    if value in SUPPORT_POSITIONS:
+        return "support"
+    if value in OPPOSE_POSITIONS:
+        return "oppose"
+    return None
+
+
+def score_vote_position(
+    position: str | None,
+    support_position: BillTopicPosition | str,
+) -> str | None:
+    """Score a raw vote as support/opposition for an extracted bill topic."""
+    normalized_vote = normalize_position(position)
+    if normalized_vote is None:
+        return None
+
+    topic_position = BillTopicPosition(support_position)
+    if topic_position is BillTopicPosition.FOR:
+        return normalized_vote
+    if normalized_vote == "support":
+        return "oppose"
+    return "support"
+
+
+def calculate_score(counts: ScoreCounts) -> int | None:
+    """Calculate the 0-100 support score, or None when there are no scored votes."""
+    if counts.total == 0:
+        return None
+    return round(100 * counts.supportive / counts.total)
+
+
+def normalize_issues(issues: list[str] | tuple[str, ...]) -> list[str]:
+    """Trim, de-duplicate, and preserve issue order for display and queries."""
+    normalized: list[str] = []
+    seen: set[str] = set()
+    for issue in issues:
+        value = issue.strip()
+        key = value.casefold()
+        if value and key not in seen:
+            normalized.append(value)
+            seen.add(key)
+    return normalized
+
+
+def issue_match_condition(issues: list[str] | tuple[str, ...]) -> ColumnElement[bool]:
+    """Build the SQLAlchemy condition for issue text matching."""
+    normalized = normalize_issues(list(issues))
+    if not normalized:
+        return false()
+
+    fields: tuple[ColumnElement[str | None], ...] = (
+        Bill.subjects_top_term,
+        Bill.title,
+        Bill.title_short,
+        Bill.official_title,
+        Vote.question,
+        Vote.result_text,
+    )
+    terms: list[BinaryExpression[bool]] = []
+    for issue in normalized:
+        pattern = f"%{issue}%"
+        terms.extend(field.ilike(pattern) for field in fields)
+    return or_(*terms)
+
+
+def normalized_position_expression(column: ColumnElement[str]) -> ColumnElement[str | None]:
+    """Lowercase and trim a SQL column containing raw vote positions."""
+    return func.lower(func.trim(column))

pipelines/web/svg.py

@@ -0,0 +1,231 @@
+"""Inline SVG rendering helpers."""
+
+from __future__ import annotations
+
+from html import escape
+from math import cos, pi, sin
+
+from pipelines.web.repository import ChartSeries, RadarSeries
+
+SERIES_STYLES = (
+    {
+        "color": "#009e73",
+        "dasharray": None,
+        "marker": "circle",
+    },
+    {
+        "color": "#0072b2",
+        "dasharray": "10 6",
+        "marker": "square",
+    },
+    {
+        "color": "#e69f00",
+        "dasharray": "4 5",
+        "marker": "diamond",
+    },
+    {
+        "color": "#cc79a7",
+        "dasharray": "14 5 3 5",
+        "marker": "triangle",
+    },
+)
+
+
+def render_score_history_svg(series: list[ChartSeries]) -> str:
+    """Render a responsive inline SVG score history chart."""
+    width = 880
+    height = 300
+    margin_left = 70
+    margin_right = 28
+    margin_top = 24
+    margin_bottom = 48
+    plot_width = width - margin_left - margin_right
+    plot_height = height - margin_top - margin_bottom
+
+    all_years = sorted({point.year for item in series for point in item.points})
+    if not all_years:
+        return _empty_svg(width, height, "No score history for this selection")
+
+    min_year = min(all_years)
+    max_year = max(all_years)
+    year_span = max(max_year - min_year, 1)
+
+    def x_for(year: int) -> float:
+        return margin_left + ((year - min_year) / year_span) * plot_width
+
+    def y_for(score: int) -> float:
+        return margin_top + ((100 - score) / 100) * plot_height
+
+    parts: list[str] = [
+        f'<svg viewBox="0 0 {width} {height}" role="img" aria-label="Score history chart" class="score-chart">',
+        '<rect width="100%" height="100%" fill="transparent" />',
+    ]
+
+    for score in (0, 25, 50, 75, 100):
+        y = y_for(score)
+        parts.append(
+            f'<line x1="{margin_left}" y1="{y:.2f}" x2="{width - margin_right}" y2="{y:.2f}" class="chart-grid" />'
+        )
+        parts.append(
+            f'<text x="{margin_left - 16}" y="{y + 4:.2f}" text-anchor="end" class="chart-axis-label">{score}</text>'
+        )
+
+    tick_years = _tick_years(all_years)
+    for year in tick_years:
+        x = x_for(year)
+        parts.append(
+            f'<line x1="{x:.2f}" y1="{margin_top}" x2="{x:.2f}" y2="{height - margin_bottom}" class="chart-year-line" />'
+        )
+        parts.append(
+            f'<text x="{x:.2f}" y="{height - 18}" text-anchor="middle" class="chart-axis-label">{year}</text>'
+        )
+
+    parts.append(
+        f'<line x1="{margin_left}" y1="{height - margin_bottom}" x2="{width - margin_right}" y2="{height - margin_bottom}" class="chart-axis" />'
+    )
+    parts.append(
+        f'<line x1="{margin_left}" y1="{margin_top}" x2="{margin_left}" y2="{height - margin_bottom}" class="chart-axis" />'
+    )
+
+    for index, item in enumerate(series):
+        points = sorted(item.points, key=lambda point: point.year)
+        if not points:
+            continue
+        style = SERIES_STYLES[index % len(SERIES_STYLES)]
+        color = style["color"]
+        path = " ".join(
+            f"{'M' if point_index == 0 else 'L'} {x_for(point.year):.2f} {y_for(point.score):.2f}"
+            for point_index, point in enumerate(points)
+        )
+        label = escape(item.label)
+        dash_attr = (
+            f' stroke-dasharray="{style["dasharray"]}"'
+            if style["dasharray"]
+            else ""
+        )
+        parts.append(
+            f'<path d="{path}" fill="none" stroke="{color}" stroke-width="3.5" stroke-linecap="round" stroke-linejoin="round"{dash_attr}>'
+            f"<title>{label}</title></path>"
+        )
+        for point in points:
+            parts.append(
+                _point_marker(
+                    marker=style["marker"],
+                    x=x_for(point.year),
+                    y=y_for(point.score),
+                    color=color,
+                    label=f"{label}: {point.score:.0f} in {point.year}",
+                )
+            )
+        last = points[-1]
+        parts.append(
+            f'<text x="{x_for(last.year) - 10:.2f}" y="{y_for(last.score) + 4:.2f}" text-anchor="end" class="chart-series-label" fill="{color}">'
+            f"{last.score:.0f}</text>"
+        )
+
+    parts.append("</svg>")
+    return "".join(parts)
+
+
+def _empty_svg(width: int, height: int, message: str) -> str:
+    return (
+        f'<svg viewBox="0 0 {width} {height}" role="img" aria-label="{escape(message)}" class="score-chart">'
+        '<rect width="100%" height="100%" fill="transparent" />'
+        f'<text x="{width / 2}" y="{height / 2}" text-anchor="middle" class="chart-empty">{escape(message)}</text>'
+        "</svg>"
+    )
+
+
+def _tick_years(years: list[int]) -> list[int]:
+    first = years[0]
+    last = years[-1]
+    start = first - (first % 5)
+    tick_years = {year for year in range(start, last + 1, 5) if first <= year <= last}
+    tick_years.add(first)
+    tick_years.add(last)
+    return sorted(tick_years)
+
+
+def render_compare_radar_svg(topics: list[str], series: list[RadarSeries]) -> str:
+    """Render a server-side radar chart for legislator comparison."""
+    width = 720
+    height = 560
+    center_x = 285
+    center_y = 280
+    radius = 200
+    if len(topics) < 3 or not series:
+        return _empty_svg(width, height, "Choose at least 3 axes and 1 legislator")
+
+    axis_count = len(topics)
+
+    def point_for(index: int, score: float) -> tuple[float, float]:
+        angle = -pi / 2 + (2 * pi * index / axis_count)
+        distance = radius * max(0, min(score, 100)) / 100
+        return center_x + cos(angle) * distance, center_y + sin(angle) * distance
+
+    def ring_points(score: float) -> str:
+        return " ".join(
+            f"{point_for(index, score)[0]:.2f},{point_for(index, score)[1]:.2f}"
+            for index in range(axis_count)
+        )
+
+    parts: list[str] = [
+        f'<svg viewBox="0 0 {width} {height}" role="img" aria-label="Compare legislators radar chart" class="radar-chart">',
+        '<rect width="100%" height="100%" fill="transparent" />',
+    ]
+    for ring in (25, 50, 75, 100):
+        parts.append(f'<polygon points="{ring_points(ring)}" class="radar-ring" />')
+    for index, topic in enumerate(topics):
+        outer_x, outer_y = point_for(index, 100)
+        label_x, label_y = point_for(index, 113)
+        parts.append(
+            f'<line x1="{center_x}" y1="{center_y}" x2="{outer_x:.2f}" y2="{outer_y:.2f}" class="radar-axis" />'
+        )
+        anchor = "middle"
+        if label_x < center_x - 24:
+            anchor = "end"
+        elif label_x > center_x + 24:
+            anchor = "start"
+        parts.append(
+            f'<text x="{label_x:.2f}" y="{label_y:.2f}" text-anchor="{anchor}" class="radar-label">{escape(topic)}</text>'
+        )
+
+    for index, item in enumerate(series):
+        color = SERIES_STYLES[index % len(SERIES_STYLES)]["color"]
+        points = " ".join(
+            f"{point_for(topic_index, item.scores_by_topic.get(topic, 50.0))[0]:.2f},"
+            f"{point_for(topic_index, item.scores_by_topic.get(topic, 50.0))[1]:.2f}"
+            for topic_index, topic in enumerate(topics)
+        )
+        label = escape(item.legislator.display_name)
+        parts.append(
+            f'<polygon points="{points}" fill="{color}" fill-opacity="0.14" stroke="{color}" stroke-width="3" class="radar-series">'
+            f"<title>{label}</title></polygon>"
+        )
+    parts.append("</svg>")
+    return "".join(parts)
+
+
+def _point_marker(*, marker: str, x: float, y: float, color: str, label: str) -> str:
+    title = f"<title>{escape(label)}</title>"
+    if marker == "square":
+        return (
+            f'<rect x="{x - 4.25:.2f}" y="{y - 4.25:.2f}" width="8.5" height="8.5" '
+            f'fill="{color}" rx="1.5" ry="1.5">{title}</rect>'
+        )
+    if marker == "diamond":
+        points = (
+            f"{x:.2f},{y - 5.2:.2f} "
+            f"{x + 5.2:.2f},{y:.2f} "
+            f"{x:.2f},{y + 5.2:.2f} "
+            f"{x - 5.2:.2f},{y:.2f}"
+        )
+        return f'<polygon points="{points}" fill="{color}">{title}</polygon>'
+    if marker == "triangle":
+        points = (
+            f"{x:.2f},{y - 5.5:.2f} "
+            f"{x + 5.5:.2f},{y + 4.5:.2f} "
+            f"{x - 5.5:.2f},{y + 4.5:.2f}"
+        )
+        return f'<polygon points="{points}" fill="{color}">{title}</polygon>'
+    return f'<circle cx="{x:.2f}" cy="{y:.2f}" r="4.5" fill="{color}">{title}</circle>'

pipelines/web/templates/admin.html

@@ -0,0 +1,36 @@
+{% extends "base.html" %}
+
+{% block title %}Admin Settings{% endblock %}
+
+{% block body %}
+  <main class="shell">
+    <section class="page-heading stacked-heading">
+      <div>
+        <h1>Admin settings</h1>
+        <p>Admin-only operational controls for the Nornsight workspace.</p>
+      </div>
+    </section>
+
+    <section class="admin-card">
+      <h2>WorkOS-managed access</h2>
+      <p>
+        Invitations, Google access, and role assignments are managed in the WorkOS dashboard.
+        This page confirms that app-level admin gating is active.
+      </p>
+      <dl class="admin-meta">
+        <div>
+          <dt>Workspace organization</dt>
+          <dd><code>{{ organization_id }}</code></dd>
+        </div>
+        <div>
+          <dt>Current administrator</dt>
+          <dd>{{ current_user_email }}</dd>
+        </div>
+      </dl>
+      <div class="admin-actions">
+        <a href="/dashboard">Return to dashboard</a>
+        <a href="https://dashboard.workos.com/" rel="noreferrer" target="_blank">Open WorkOS dashboard</a>
+      </div>
+    </section>
+  </main>
+{% endblock %}

pipelines/web/templates/base.html

@@ -0,0 +1,50 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1">
+    <title>{% block title %}Nornsight{% endblock %}</title>
+    <link rel="stylesheet" href="{{ url_for('static', path='styles.css') }}">
+    <script src="{{ url_for('static', path='vendor/htmx.min.js') }}" defer></script>
+  </head>
+  <body>
+    <header class="topbar">
+      <a class="brand" href="/">
+        <span class="brand-mark">N</span>
+        <span>Nornsight</span>
+      </a>
+      {% if show_primary_nav|default(true) %}
+      <nav class="primary-nav" aria-label="Primary">
+        {% if is_authenticated|default(false) %}
+        <a href="/dashboard">Dashboard</a>
+        <a href="/legislators">Legislators</a>
+        <a href="/compare">Compare</a>
+        {% if is_admin|default(false) %}
+        <a href="/admin">Admin</a>
+        {% endif %}
+        {% else %}
+        <a href="/">Overview</a>
+        {% endif %}
+      </nav>
+      {% endif %}
+      <nav class="account-nav" aria-label="Account">
+        <a href="#" aria-disabled="true">Help</a>
+        {% if is_authenticated|default(false) %}
+        <details class="account-menu">
+          <summary>{{ current_user_name or "My account" }}</summary>
+          <div class="account-menu-panel">
+            <span class="account-email">{{ current_user_email }}</span>
+            <a href="#" aria-disabled="true">Account settings</a>
+            <form action="/logout" method="post">
+              <button class="sign-out" type="submit">Sign out</button>
+            </form>
+          </div>
+        </details>
+        {% else %}
+        <a class="sign-in" href="/login?next=/dashboard">Sign in</a>
+        {% endif %}
+      </nav>
+    </header>
+    {% block body %}{% endblock %}
+  </body>
+</html>

pipelines/web/templates/compare.html

@@ -0,0 +1,87 @@
+{% extends "base.html" %}
+
+{% block title %}Compare Legislators{% endblock %}
+
+{% block body %}
+  <main class="shell">
+    <section class="page-heading stacked-heading">
+      <div>
+        <h1>Compare legislators</h1>
+        <p>Up to 4 legislators · up to 8 issue axes · each polygon = one legislator's full issue profile</p>
+      </div>
+    </section>
+
+    <section class="compare-controls">
+      <form class="wide-search compare-search" action="/compare" method="get">
+        <label class="sr-only" for="compare-legislator-search">Search legislators</label>
+        {% for legislator_id in selected_legislators %}
+          <input type="hidden" name="legislator_id" value="{{ legislator_id }}">
+        {% endfor %}
+        {% for topic in topics %}
+          <input type="hidden" name="topic" value="{{ topic }}">
+        {% endfor %}
+        <input
+          id="compare-legislator-search"
+          type="search"
+          name="q"
+          value="{{ q }}"
+          placeholder="Search legislators to add"
+          autocomplete="off">
+        <button type="submit">Search</button>
+      </form>
+
+      <h2>Legislators ({{ selected_legislator_options|length }} / 4)</h2>
+      <div class="result-chips">
+        {% for legislator in selected_legislator_options %}
+          {% set without = selected_legislators | reject('equalto', legislator.legislator_id) | list %}
+          <a href="{{ build_compare_url(legislator_ids=without, topics=topics, q=q) }}"><span class="legend-dot dot-{{ loop.index0 }}"></span>{{ legislator.display_name }}{% if legislator.state %} — {{ legislator.state }}{% endif %} ×</a>
+        {% endfor %}
+        {% if selected_legislator_options|length < 4 %}
+          {% for option in legislator_options %}
+            {% if option.legislator_id not in selected_legislators %}
+              <a class="dashed-chip" href="{{ build_compare_url(legislator_ids=selected_legislators + [option.legislator_id], topics=topics, q=q) }}">+ {{ option.display_name }}</a>
+            {% endif %}
+          {% endfor %}
+        {% endif %}
+      </div>
+
+      <h2>Issue axes ({{ topics|length }} / 8)</h2>
+      <div class="axis-chips">
+        {% for topic in topics %}
+          {% set without_topic = topics[:loop.index0] + topics[loop.index:] %}
+          <a href="{{ build_compare_url(legislator_ids=selected_legislators, topics=without_topic, q=q) }}">{{ topic }} ×</a>
+        {% endfor %}
+        {% if topics|length < 8 %}
+          {% for topic in topic_options %}
+            {% if topic not in topics %}
+              <a href="{{ build_compare_url(legislator_ids=selected_legislators, topics=topics + [topic], q=q) }}">{{ topic }}</a>
+            {% endif %}
+          {% endfor %}
+        {% endif %}
+      </div>
+    </section>
+
+    <section class="compare-card">
+      <div class="radar-frame">{{ radar_svg | safe }}</div>
+      <aside class="compare-legend">
+        <h2>Legend</h2>
+        {% for item in series %}
+          <div class="legend-row">
+            <span class="legend-line line-{{ loop.index0 }}"></span>
+            <div>
+              <strong>{{ item.legislator.display_name }}</strong>
+              <small>{{ item.legislator.state or "US" }} · {{ item.legislator.party or "—" }} · avg {{ item.average_score|round(0) if item.average_score is not none else "—" }}</small>
+            </div>
+          </div>
+        {% endfor %}
+        <p>Outer ring = 100% support. Each axis is scored independently against full roll-call record.</p>
+        <p><em>Max 4 legislators · max 8 axes</em></p>
+      </aside>
+    </section>
+  </main>
+  <footer class="footer">
+    <span>Actual record, not rhetoric</span>
+    <span>Source: congressional roll-call votes</span>
+    <span>Not affiliated with any political party or organization</span>
+  </footer>
+{% endblock %}

pipelines/web/templates/dashboard.html

@@ -0,0 +1,31 @@
+{% extends "base.html" %}
+
+{% block title %}Legislative Accountability{% endblock %}
+
+{% block body %}
+  <main class="shell">
+    <section class="page-heading">
+      <div>
+        <h1>Legislative accountability</h1>
+        <p>US legislative accountability · precomputed legislator topic scores{% if latest_score_year %} through {{ latest_score_year }}{% endif %}</p>
+      </div>
+      <div class="heading-actions">
+        <span>{{ current_user_email }}</span>
+        <a href="#" aria-disabled="true">Methodology</a>
+        <a href="#" aria-disabled="true">Data sources</a>
+        <span>Last updated: {{ last_updated.strftime("%b %Y") if last_updated else "Unavailable" }}</span>
+      </div>
+    </section>
+
+    <div class="notice">Choose one or more score topics, then select lawmakers to compare computed records over time.</div>
+
+    <div id="dashboard-body">
+      {% include "partials/_dashboard.html" %}
+    </div>
+  </main>
+  <footer class="footer">
+    <span>Actual record, not rhetoric</span>
+    <span>Source: congressional roll-call votes</span>
+    <span>Not affiliated with any political party or organization</span>
+  </footer>
+{% endblock %}

pipelines/web/templates/home.html

@@ -0,0 +1,59 @@
+{% extends "base.html" %}
+
+{% block title %}Nornsight | Legislative Accountability{% endblock %}
+
+{% block body %}
+  <main class="shell home-shell">
+    {% if auth_error %}
+      <div class="notice auth-notice">Authentication failed. Try signing in again.</div>
+    {% endif %}
+
+    <section class="hero-panel">
+      <div class="hero-copy">
+        <p class="eyebrow">Invite-only access</p>
+        <h1>Track legislative behavior with role-aware access and shared WorkOS sign-in.</h1>
+        <p class="hero-text">
+          Nornsight turns roll-call data into issue-level accountability views for your invited team.
+          Use the public home page as the front door, then move signed-in users into the dashboard,
+          legislator search, and comparison tools.
+        </p>
+        <div class="hero-actions">
+          {% if is_authenticated %}
+            <a class="hero-primary" href="/dashboard">Open dashboard</a>
+            {% if is_admin %}
+              <a class="hero-secondary" href="/admin">Admin settings</a>
+            {% endif %}
+          {% else %}
+            <a class="hero-primary" href="/login?next=/dashboard">Sign in</a>
+            <a class="hero-secondary" href="#access-model">How access works</a>
+          {% endif %}
+        </div>
+      </div>
+
+      <aside class="hero-card">
+        <h2>Launch access model</h2>
+        <ul>
+          <li>Public landing page at <code>/</code></li>
+          <li>Invite-only AuthKit login with Email + Password and Google</li>
+          <li><code>viewer</code> role for dashboard, legislators, and compare</li>
+          <li><code>admin</code> role for settings and account administration</li>
+        </ul>
+      </aside>
+    </section>
+
+    <section id="access-model" class="home-grid">
+      <article class="home-card">
+        <h2>For invited users</h2>
+        <p>View the dashboard, inspect legislator profiles, and compare issue scoring without sharing a local password.</p>
+      </article>
+      <article class="home-card">
+        <h2>For admins</h2>
+        <p>Manage invitations and role assignments in WorkOS while the app enforces role-based route access.</p>
+      </article>
+      <article class="home-card">
+        <h2>For rollout</h2>
+        <p>Authentication is centralized, sessions are sealed, and the old hard-coded admin login is removed.</p>
+      </article>
+    </section>
+  </main>
+{% endblock %}

pipelines/web/templates/legislators.html

@@ -0,0 +1,148 @@
+{% extends "base.html" %}
+
+{% block title %}Legislator Profiles{% endblock %}
+
+{% block body %}
+  <main class="shell">
+    <section class="page-heading stacked-heading">
+      <div>
+        <h1>Legislator profiles</h1>
+        <p>Full issue taxonomy · search any current legislator</p>
+      </div>
+    </section>
+
+    <form class="wide-search legislator-search-form" action="/legislators" method="get">
+      <label class="sr-only" for="legislator-search">Search legislators</label>
+      <input
+        id="legislator-search"
+        type="search"
+        name="q"
+        value="{{ q }}"
+        placeholder="Search by name or state"
+        autocomplete="off"
+        hx-get="/partials/legislator-suggestions"
+        hx-trigger="input changed delay:200ms, search"
+        hx-target="#legislator-suggestions"
+        hx-swap="innerHTML">
+      <label class="sr-only" for="legislator-page-size">Results per page</label>
+      <select id="legislator-page-size" name="per_page" aria-label="Results per page">
+        {% for option in per_page_options %}
+          <option value="{{ option }}" {{ "selected" if option == per_page else "" }}>{{ option }}</option>
+        {% endfor %}
+      </select>
+      <button type="submit">Search</button>
+    </form>
+
+    <div id="legislator-suggestions" aria-live="polite"></div>
+
+    {% if q %}
+      <section class="phonebook-results" aria-label="Matching legislators">
+        <header>
+          <h2>Matching legislators</h2>
+          <span>{{ result_count }} result{{ "" if result_count == 1 else "s" }}</span>
+        </header>
+        {% if matches %}
+          <ol class="phonebook-list" start="{{ ((page - 1) * per_page) + 1 }}">
+            {% for option in matches %}
+              <li>
+                <a href="{{ build_legislator_url(legislator_id=option.legislator_id, q=q, per_page=per_page) }}">
+                  <span class="phonebook-name">{{ option.display_name }}</span>
+                  <span class="phonebook-meta">
+                    {{ option.state or "US" }}{% if option.party %} · {{ option.party }}{% endif %}{% if option.chamber %} · {{ option.chamber }}{% endif %}
+                  </span>
+                </a>
+              </li>
+            {% endfor %}
+          </ol>
+          <nav class="pagination" aria-label="Legislator results pages">
+            {% if previous_page %}
+              <a href="{{ build_legislator_search_url(q=q, per_page=per_page, page=previous_page) }}">Previous</a>
+            {% else %}
+              <span>Previous</span>
+            {% endif %}
+            <strong>Page {{ page }} of {{ total_pages }}</strong>
+            {% if next_page %}
+              <a href="{{ build_legislator_search_url(q=q, per_page=per_page, page=next_page) }}">Next</a>
+            {% else %}
+              <span>Next</span>
+            {% endif %}
+          </nav>
+        {% else %}
+          <p class="empty-state">No legislators matched this search.</p>
+        {% endif %}
+      </section>
+    {% endif %}
+
+    {% if profile %}
+      <section class="profile-card">
+        <header class="profile-header">
+          <div class="profile-identity">
+            <span class="avatar">{{ profile.legislator.display_name.split(',')[0][:1] }}{{ profile.legislator.display_name.split(',')[-1].strip()[:1] }}</span>
+            <div>
+              <h2>{{ profile.legislator.display_name }} <span class="party-pill">{{ profile.legislator.chamber or "LEG" }}</span></h2>
+              <p>{{ profile.legislator.state or "US" }} · {{ profile.legislator.party or "Unaffiliated" }}{% if profile.serving_since %} · Serving since {{ profile.serving_since }}{% endif %}</p>
+            </div>
+          </div>
+          <div class="overall-score">
+            <span>Overall avg</span>
+            <strong>{{ profile.overall_score|round(0) if profile.overall_score is not none else "—" }}</strong>
+            <small>/ 100</small>
+          </div>
+        </header>
+
+        {% if profile.top_topics or profile.bottom_topics %}
+          <div class="topic-panels">
+            <article>
+              <h3>Most important issues for</h3>
+              {% for item in profile.top_topics %}
+                <a class="topic-row" href="{{ build_legislator_url(legislator_id=profile.legislator.legislator_id, topic=item.topic) }}">
+                  <strong class="score positive">{{ item.score|round(0) }}</strong>
+                  <span>{{ item.topic }}</span>
+                  <i style="width: {{ item.score }}%"></i>
+                </a>
+              {% endfor %}
+            </article>
+            <article>
+              <h3 class="opposed-heading">Most important issues against</h3>
+              {% for item in profile.bottom_topics %}
+                <a class="topic-row {{ 'active' if item.topic == selected_topic else '' }}" href="{{ build_legislator_url(legislator_id=profile.legislator.legislator_id, topic=item.topic) }}">
+                  <strong class="score negative">{{ item.score|round(0) }}</strong>
+                  <span>{{ item.topic }}</span>
+                  <i style="width: {{ item.score }}%"></i>
+                </a>
+              {% endfor %}
+            </article>
+          </div>
+
+          <section class="profile-history">
+            <h3>{{ selected_topic or "Topic" }} — score history</h3>
+            <div class="chart-frame">{{ history_svg | safe }}</div>
+            {% if history_series %}
+              <div class="chart-legend compact" aria-label="Chart legend">
+                {% for item in history_series %}
+                  <div class="chart-legend-row">
+                    <span class="chart-legend-line line-0"></span>
+                    <span class="chart-legend-marker marker-0"></span>
+                    <div class="chart-legend-copy">
+                      <span class="chart-legend-label">{{ item.label }}</span>
+                      <span class="chart-legend-meta">
+                        {% if item.party %}{{ item.party }}{% endif %}{% if item.party and item.state %} · {% endif %}{% if item.state %}{{ item.state }}{% endif %}
+                      </span>
+                    </div>
+                  </div>
+                {% endfor %}
+              </div>
+            {% endif %}
+          </section>
+        {% else %}
+          <p class="empty-state">No issue scores are available for this legislator yet.</p>
+        {% endif %}
+      </section>
+    {% endif %}
+  </main>
+  <footer class="footer">
+    <span>Actual record, not rhetoric</span>
+    <span>Source: congressional roll-call votes</span>
+    <span>Not affiliated with any political party or organization</span>
+  </footer>
+{% endblock %}

pipelines/web/templates/login.html

@@ -0,0 +1,45 @@
+{% extends "base.html" %}
+
+{% block title %}Sign in | Nornsight{% endblock %}
+
+{% block body %}
+<main class="login-shell">
+  <section class="login-panel" aria-labelledby="login-title">
+    <div class="login-copy">
+      <p class="eyebrow">Admin access</p>
+      <h1 id="login-title">Sign in to Nornsight</h1>
+      <p>Use the dashboard account to review rankings, profiles, and legislator comparisons.</p>
+    </div>
+
+    <form class="login-form" action="/login" method="post">
+      <input type="hidden" name="next" value="{{ next_path }}">
+
+      {% if error %}
+      <p class="form-error" role="alert">{{ error }}</p>
+      {% endif %}
+
+      <label for="username">Username</label>
+      <input
+        id="username"
+        name="username"
+        type="text"
+        autocomplete="username"
+        value="{{ username }}"
+        required
+        autofocus
+      >
+
+      <label for="password">Password</label>
+      <input
+        id="password"
+        name="password"
+        type="password"
+        autocomplete="current-password"
+        required
+      >
+
+      <button type="submit">Sign in</button>
+    </form>
+  </section>
+</main>
+{% endblock %}

pipelines/web/templates/partials/_chart.html

@@ -0,0 +1,30 @@
+<section class="chart-card">
+  <header>
+    <h2>Score history{% if selected_issue_label %} — {{ selected_issue_label }}{% endif %}</h2>
+    <a href="{{ build_url(request, compare=[]) }}"
+       hx-get="{{ build_dashboard_partial_url(request, compare=[]) }}"
+       hx-target="#dashboard-body"
+       hx-push-url="{{ build_url(request, compare=[]) }}">Clear comparison</a>
+  </header>
+  <div class="chart-frame">
+    {{ chart_svg | safe }}
+  </div>
+  {% if chart_series %}
+    <div class="chart-legend" aria-label="Chart legend">
+      {% for item in chart_series %}
+        {% set style_index = loop.index0 % 4 %}
+        <div class="chart-legend-row">
+          <span class="chart-legend-line line-{{ style_index }}"></span>
+          <span class="chart-legend-marker marker-{{ style_index }}"></span>
+          <div class="chart-legend-copy">
+            <span class="chart-legend-label">{{ item.label }}</span>
+            <span class="chart-legend-meta">
+              {% if item.party %}{{ item.party }}{% endif %}{% if item.party and item.state %} · {% endif %}{% if item.state %}{{ item.state }}{% endif %}
+            </span>
+          </div>
+        </div>
+      {% endfor %}
+    </div>
+  {% endif %}
+  <p class="score-note">Scores reflect averaged precomputed topic rows per year. Sparse years are omitted rather than plotted as zero.</p>
+</section>

pipelines/web/templates/partials/_dashboard.html

@@ -0,0 +1,25 @@
+<section class="controls-grid">
+  {% include "partials/_issue_filters.html" %}
+  <div class="chamber-card">
+    <a class="segment {{ 'active' if chamber == 'house' else '' }}"
+       href="{{ build_url(request, chamber='house') }}"
+       hx-get="{{ build_dashboard_partial_url(request, chamber='house') }}"
+       hx-target="#dashboard-body"
+       hx-push-url="{{ build_url(request, chamber='house') }}">House</a>
+    <a class="segment {{ 'active' if chamber == 'senate' else '' }}"
+       href="{{ build_url(request, chamber='senate') }}"
+       hx-get="{{ build_dashboard_partial_url(request, chamber='senate') }}"
+       hx-target="#dashboard-body"
+       hx-push-url="{{ build_url(request, chamber='senate') }}">Senate</a>
+    <a class="segment {{ 'active' if chamber == 'all' else '' }}"
+       href="{{ build_url(request, chamber='all') }}"
+       hx-get="{{ build_dashboard_partial_url(request, chamber='all') }}"
+       hx-target="#dashboard-body"
+       hx-push-url="{{ build_url(request, chamber='all') }}">All</a>
+  </div>
+</section>
+
+<p class="score-note">Support score: 1-100 precomputed from bill topic stance and roll-call votes. Higher means more aligned with the topic.</p>
+
+{% include "partials/_rankings.html" %}
+{% include "partials/_chart.html" %}

pipelines/web/templates/partials/_issue_filters.html

@@ -0,0 +1,46 @@
+<section class="filter-card">
+  <h2>Issue filters</h2>
+  <form class="issue-form"
+        method="get"
+        action="/dashboard"
+        hx-get="/partials/dashboard"
+        hx-target="#dashboard-body"
+        hx-push-url="/dashboard">
+    <input type="hidden" name="chamber" value="{{ chamber }}">
+    {% if congress %}
+      <input type="hidden" name="congress" value="{{ congress }}">
+    {% endif %}
+    {% for legislator_id in compare %}
+      <input type="hidden" name="compare" value="{{ legislator_id }}">
+    {% endfor %}
+    {% for issue in issues %}
+      <span class="chip">
+        {{ issue }}
+        <a href="{{ build_url(request, issues=issues[:loop.index0] + issues[loop.index:]) }}"
+           hx-get="{{ build_dashboard_partial_url(request, issues=issues[:loop.index0] + issues[loop.index:]) }}"
+           hx-target="#dashboard-body"
+           hx-push-url="{{ build_url(request, issues=issues[:loop.index0] + issues[loop.index:]) }}"
+           aria-label="Remove {{ issue }}">×</a>
+      </span>
+      <input type="hidden" name="issues" value="{{ issue }}">
+    {% endfor %}
+    <label class="search-box">
+      <span class="sr-only">Search issue areas</span>
+      <input type="search" name="issues" placeholder="Search issue areas" autocomplete="off">
+    </label>
+    <button type="submit">Apply</button>
+  </form>
+
+  {% if suggestions %}
+    <div class="suggestions" aria-label="Issue suggestions">
+      {% for suggestion in suggestions %}
+        {% if suggestion not in issues %}
+          <a href="{{ build_url(request, issues=issues + [suggestion]) }}"
+             hx-get="{{ build_dashboard_partial_url(request, issues=issues + [suggestion]) }}"
+             hx-target="#dashboard-body"
+             hx-push-url="{{ build_url(request, issues=issues + [suggestion]) }}">{{ suggestion }}</a>
+        {% endif %}
+      {% endfor %}
+    </div>
+  {% endif %}
+</section>

pipelines/web/templates/partials/_legislator_suggestions.html

@@ -0,0 +1,11 @@
+{% if matches %}
+  <div class="result-chips" aria-label="Search suggestions">
+    {% for option in matches %}
+      <a href="{{ build_legislator_url(legislator_id=option.legislator_id) }}">
+        {{ option.display_name }}{% if option.state %} · {{ option.state }}{% endif %}
+      </a>
+    {% endfor %}
+  </div>
+{% elif q %}
+  <p class="suggestion-empty">No matches</p>
+{% endif %}

pipelines/web/templates/partials/_rankings.html

@@ -0,0 +1,61 @@
+<section class="rankings-grid">
+  <article class="ranking-card">
+    <header>
+      <h2>Most supportive</h2>
+      <span>Top 10</span>
+    </header>
+    {% if rankings.supportive %}
+      <ol class="ranking-list">
+        {% for row in rankings.supportive %}
+          {% set next_compare = toggle_compare(compare, row.legislator_id) %}
+          <li class="{{ 'selected' if row.legislator_id in compare else '' }}">
+            <a href="{{ build_url(request, compare=next_compare) }}"
+               hx-get="{{ build_dashboard_partial_url(request, compare=next_compare) }}"
+               hx-target="#dashboard-body"
+               hx-push-url="{{ build_url(request, compare=next_compare) }}">
+              <span class="rank">{{ loop.index }}</span>
+              <strong class="score positive">{{ row.score|round(1) }}</strong>
+              <span class="member">
+                <strong>{{ row.display_name }}</strong>
+                <small>{{ row.state or "US" }}{% if row.party %} · {{ row.party[:1] }}{% endif %}</small>
+              </span>
+              <span class="votes">{{ row.total }} rows</span>
+            </a>
+          </li>
+        {% endfor %}
+      </ol>
+    {% else %}
+      <p class="empty-state">{{ empty_message }}</p>
+    {% endif %}
+  </article>
+
+  <article class="ranking-card">
+    <header>
+      <h2>Most opposed</h2>
+      <span>Bottom 10</span>
+    </header>
+    {% if rankings.opposed %}
+      <ol class="ranking-list">
+        {% for row in rankings.opposed %}
+          {% set next_compare = toggle_compare(compare, row.legislator_id) %}
+          <li class="{{ 'selected' if row.legislator_id in compare else '' }}">
+            <a href="{{ build_url(request, compare=next_compare) }}"
+               hx-get="{{ build_dashboard_partial_url(request, compare=next_compare) }}"
+               hx-target="#dashboard-body"
+               hx-push-url="{{ build_url(request, compare=next_compare) }}">
+              <span class="rank">{{ loop.index }}</span>
+              <strong class="score negative">{{ row.score|round(1) }}</strong>
+              <span class="member">
+                <strong>{{ row.display_name }}</strong>
+                <small>{{ row.state or "US" }}{% if row.party %} · {{ row.party[:1] }}{% endif %}</small>
+              </span>
+              <span class="votes">{{ row.total }} rows</span>
+            </a>
+          </li>
+        {% endfor %}
+      </ol>
+    {% else %}
+      <p class="empty-state">{{ empty_message }}</p>
+    {% endif %}
+  </article>
+</section>

pipelines/web/templates/setup_error.html

@@ -0,0 +1,15 @@
+{% extends "base.html" %}
+
+{% block title %}Database Setup Required{% endblock %}
+
+{% block body %}
+  <main class="shell">
+    <section class="page-heading stacked-heading">
+      <div>
+        <h1>Database setup required</h1>
+        <p>Configure DATA_SCIENCE_DEV before opening the dashboard.</p>
+      </div>
+    </section>
+    <pre class="setup-error">{{ error }}</pre>
+  </main>
+{% endblock %}

pyproject.toml

@@ -4,12 +4,15 @@ version = "0.1.0"
 description = "Data science pipeline tools and legislative dashboard."
 requires-python = ">=3.12"
 dependencies = [
+    "alembic",
     "fastapi",
     "httpx",
-    "uvicorn[standard]",
     "jinja2",
-    "sqlalchemy",
     "psycopg",
+    "sqlalchemy",
+    "typer",
+    "uvicorn[standard]",
+    "workos",
 ]
 
 [project.optional-dependencies]
@@ -20,3 +23,6 @@ test = [
 [tool.pytest.ini_options]
 testpaths = ["tests"]
 pythonpath = ["."]
+
+[tool.setuptools.packages.find]
+include = ["pipelines*"]

tests/test_web_routes.py

@@ -0,0 +1,370 @@
+from __future__ import annotations
+
+from datetime import date
+
+import pytest
+from fastapi.testclient import TestClient
+
+from pipelines.web import auth, main
+from pipelines.web.repository import (
+    ChartSeries,
+    LegislatorOption,
+    RadarSeries,
+    RankingResult,
+    RankingRow,
+    TimePoint,
+)
+
+
+def test_healthz() -> None:
+    client = TestClient(main.app)
+    response = client.get("/healthz")
+    assert response.status_code == 200
+    assert response.text == "ok"
+
+
+def test_public_home_page_renders() -> None:
+    client = TestClient(main.app)
+    response = client.get("/")
+    assert response.status_code == 200
+    assert "Invite-only access" in response.text
+    assert "Sign in" in response.text
+
+
+def test_dashboard_redirects_to_login() -> None:
+    client = TestClient(main.app)
+    response = client.get("/dashboard?issues=Health", follow_redirects=False)
+    assert response.status_code == 303
+    assert response.headers["location"].endswith(
+        "/login?next=%2Fdashboard%3Fissues%3DHealth"
+    )
+
+
+def test_other_protected_routes_redirect_when_unauthenticated() -> None:
+    client = TestClient(main.app)
+    for path in ["/legislators", "/compare", "/admin"]:
+        response = client.get(path, follow_redirects=False)
+        assert response.status_code == 303
+        assert response.headers["location"].endswith(f"/login?next={path.replace('/', '%2F', 1)}")
+
+
+def test_login_redirects_to_workos(monkeypatch) -> None:
+    monkeypatch.setattr(main.auth, "get_current_session", lambda request: None)
+    monkeypatch.setattr(
+        main.auth,
+        "build_authorization_url",
+        lambda next_path: f"https://auth.example/login?state={next_path}",
+    )
+
+    client = TestClient(main.app)
+    response = client.get("/login?next=/compare", follow_redirects=False)
+    assert response.status_code == 303
+    assert response.headers["location"] == "https://auth.example/login?state=/compare"
+
+
+def test_login_redirects_authenticated_user(monkeypatch) -> None:
+    monkeypatch.setattr(main.auth, "get_current_session", lambda request: _viewer_session())
+
+    client = TestClient(main.app)
+    response = client.get("/login?next=/compare", follow_redirects=False)
+    assert response.status_code == 303
+    assert response.headers["location"] == "/compare"
+
+
+def test_callback_sets_session_cookie(monkeypatch) -> None:
+    monkeypatch.setattr(
+        main.auth,
+        "exchange_code",
+        lambda request: auth.CallbackResult(
+            sealed_session="sealed-session-value", next_path="/dashboard"
+        ),
+    )
+    monkeypatch.setattr(main.auth, "get_auth_config", _fake_auth_config)
+
+    client = TestClient(main.app)
+    response = client.get("/callback?code=abc&state=/dashboard", follow_redirects=False)
+    assert response.status_code == 303
+    assert response.headers["location"] == "/dashboard"
+    assert "workos_session=sealed-session-value" in response.headers["set-cookie"]
+
+
+def test_callback_failure_redirects_home_and_clears_cookie(monkeypatch) -> None:
+    def raise_exchange_error(request):
+        raise RuntimeError("bad code")
+
+    monkeypatch.setattr(main.auth, "exchange_code", raise_exchange_error)
+
+    client = TestClient(main.app)
+    response = client.get("/callback?code=bad", follow_redirects=False)
+    assert response.status_code == 303
+    assert response.headers["location"] == "/?auth_error=1"
+    assert "workos_session=" in response.headers["set-cookie"]
+
+
+def test_logout_redirects_to_workos_and_clears_cookie(monkeypatch) -> None:
+    monkeypatch.setattr(
+        main.auth,
+        "get_logout_url",
+        lambda request: "https://auth.example/logout",
+    )
+
+    client = TestClient(main.app)
+    response = client.post("/logout", follow_redirects=False)
+    assert response.status_code == 303
+    assert response.headers["location"] == "https://auth.example/logout"
+    assert "workos_session=" in response.headers["set-cookie"]
+
+
+def test_logout_with_invalid_session_cookie_clears_cookie(monkeypatch) -> None:
+    monkeypatch.setattr(main.auth, "get_auth_config", _fake_auth_config)
+    monkeypatch.setattr(main.auth, "get_workos_client", _invalid_workos_client)
+
+    client = TestClient(main.app)
+    client.cookies.set("workos_session", "bad-session-cookie")
+    response = client.post("/logout", follow_redirects=False)
+
+    assert response.status_code == 303
+    assert response.headers["location"] == "http://localhost:8000/"
+    assert "workos_session=" in response.headers["set-cookie"]
+
+
+def test_invalid_session_cookie_is_treated_as_unauthenticated(monkeypatch) -> None:
+    monkeypatch.setattr(main.auth, "get_auth_config", _fake_auth_config)
+    monkeypatch.setattr(main.auth, "get_workos_client", _invalid_workos_client)
+
+    client = TestClient(main.app)
+    client.cookies.set("workos_session", "bad-session-cookie")
+    response = client.get("/")
+
+    assert response.status_code == 200
+    assert "Sign in" in response.text
+
+
+def test_dashboard_route_renders_with_stubbed_repository(monkeypatch) -> None:
+    _patch_authenticated_dashboard(monkeypatch, current_user=_viewer_session())
+
+    client = TestClient(main.app)
+    response = client.get("/dashboard?issues=Health&chamber=senate")
+    assert response.status_code == 200
+    assert "Legislative accountability" in response.text
+    assert "Most supportive" in response.text
+    assert "viewer@nornsight.test" in response.text
+    assert "/admin" not in response.text
+    assert '/partials/dashboard?issues=Health&chamber=house' in response.text
+    assert "/partials/dashboarddashboard?" not in response.text
+
+
+def test_admin_route_forbids_viewer(monkeypatch) -> None:
+    monkeypatch.setattr(main.auth, "get_current_session", lambda request: _viewer_session())
+
+    client = TestClient(main.app)
+    response = client.get("/admin")
+    assert response.status_code == 403
+    assert response.json()["detail"] == "Admin access required."
+
+
+def test_admin_route_renders_for_admin(monkeypatch) -> None:
+    monkeypatch.setattr(main.auth, "get_current_session", lambda request: _admin_session())
+    monkeypatch.setattr(main.auth, "get_auth_config", _fake_auth_config)
+
+    client = TestClient(main.app)
+    response = client.get("/admin")
+    assert response.status_code == 200
+    assert "Admin settings" in response.text
+    assert "admin@nornsight.test" in response.text
+    assert "org_test_123" in response.text
+
+
+def test_compare_page_renders_for_authenticated_user(monkeypatch) -> None:
+    monkeypatch.setattr(main.auth, "get_current_session", lambda request: _viewer_session())
+    _patch_compare_page_data(monkeypatch)
+
+    client = TestClient(main.app)
+    response = client.get("/compare")
+    assert response.status_code == 200
+    assert "Compare legislators" in response.text
+    assert "Sanders, B." in response.text
+
+
+def _viewer_session() -> auth.AuthSession:
+    return auth.AuthSession(
+        user_id="user_viewer",
+        email="viewer@nornsight.test",
+        first_name="Viewer",
+        last_name="User",
+        role_slugs={"viewer"},
+        organization_id="org_test_123",
+        raw_user=None,
+        raw_session=None,
+    )
+
+
+def _admin_session() -> auth.AuthSession:
+    return auth.AuthSession(
+        user_id="user_admin",
+        email="admin@nornsight.test",
+        first_name="Admin",
+        last_name="User",
+        role_slugs={"admin", "viewer"},
+        organization_id="org_test_123",
+        raw_user=None,
+        raw_session=None,
+    )
+
+
+def _fake_auth_config() -> auth.AuthConfig:
+    return auth.AuthConfig(
+        api_key="sk_test",
+        client_id="client_test",
+        cookie_password="x" * 32,
+        redirect_uri="http://localhost:8000/callback",
+        logout_redirect_uri="http://localhost:8000/",
+        session_cookie_name="workos_session",
+        organization_id="org_test_123",
+    )
+
+
+def _invalid_workos_client():
+    class InvalidSession:
+        def authenticate(self):
+            raise ValueError("invalid session")
+
+        def get_logout_url(self, *, return_to: str) -> str:
+            raise ValueError("invalid session")
+
+    class DummyUserManagement:
+        def load_sealed_session(self, *, session_data: str, cookie_password: str):
+            return InvalidSession()
+
+    class DummyClient:
+        user_management = DummyUserManagement()
+
+    return DummyClient()
+
+
+def _patch_authenticated_dashboard(monkeypatch, *, current_user: auth.AuthSession) -> None:
+    monkeypatch.setattr(main.auth, "get_current_session", lambda request: current_user)
+
+    class DummySession:
+        pass
+
+    class DummyScope:
+        def __enter__(self):
+            return DummySession()
+
+        def __exit__(self, exc_type, exc, tb):
+            return False
+
+    rankings = RankingResult(
+        supportive=[
+            RankingRow(
+                legislator_id=1,
+                display_name="Sanders, B.",
+                party="I",
+                state="VT",
+                chamber="senate",
+                score=78.0,
+                supportive=7,
+                opposed=2,
+            )
+        ],
+        opposed=[
+            RankingRow(
+                legislator_id=2,
+                display_name="Cruz, T.",
+                party="R",
+                state="TX",
+                chamber="senate",
+                score=22.0,
+                supportive=2,
+                opposed=7,
+            )
+        ],
+    )
+    history = [
+        ChartSeries(
+            legislator_id=1,
+            label="Sanders, B.",
+            party="I",
+            state="VT",
+            points=[TimePoint(year=2024, score=74.0), TimePoint(year=2025, score=78.0)],
+        )
+    ]
+
+    monkeypatch.setattr(main, "session_scope", lambda: DummyScope())
+    monkeypatch.setattr(main.repository, "latest_congress", lambda session: 119)
+    monkeypatch.setattr(main.repository, "has_scores", lambda session: True)
+    monkeypatch.setattr(main.repository, "latest_score_year", lambda session: 2026)
+    monkeypatch.setattr(
+        main.repository, "latest_vote_date", lambda session, congress: date(2026, 1, 15)
+    )
+    monkeypatch.setattr(
+        main.repository,
+        "issue_suggestions",
+        lambda session, congress=None, limit=12: ["Health", "Taxation"],
+    )
+    monkeypatch.setattr(
+        main.repository,
+        "get_rankings",
+        lambda session, *, issues, chamber, congress: rankings,
+    )
+    monkeypatch.setattr(
+        main.repository,
+        "get_score_history",
+        lambda session, *, issues, chamber, congress, legislator_ids: history,
+    )
+
+
+def _patch_compare_page_data(monkeypatch) -> None:
+    class DummySession:
+        pass
+
+    class DummyScope:
+        def __enter__(self):
+            return DummySession()
+
+        def __exit__(self, exc_type, exc, tb):
+            return False
+
+    legislator = LegislatorOption(
+        legislator_id=1,
+        display_name="Sanders, B.",
+        party="I",
+        state="VT",
+        chamber="senate",
+    )
+    topics = ["Health", "Taxation", "Energy"]
+    series = [
+        RadarSeries(
+            legislator=legislator,
+            average_score=77.0,
+            scores_by_topic={"Health": 82.0, "Taxation": 71.0, "Energy": 78.0},
+        )
+    ]
+
+    monkeypatch.setattr(main, "session_scope", lambda: DummyScope())
+    monkeypatch.setattr(
+        main.repository,
+        "get_compare_defaults",
+        lambda session: ([1], topics),
+    )
+    monkeypatch.setattr(
+        main.repository,
+        "get_legislator_options",
+        lambda session, selected_legislators: [legislator],
+    )
+    monkeypatch.setattr(
+        main.repository,
+        "get_compare_radar_series",
+        lambda session, *, legislator_ids, topics: series,
+    )
+    monkeypatch.setattr(
+        main.repository,
+        "search_legislators",
+        lambda session, query=None, limit=12: [legislator],
+    )
+    monkeypatch.setattr(
+        main.repository,
+        "issue_suggestions",
+        lambda session, congress=None, limit=12: topics,
+    )