add .ebook_search_bm25 to gitignore

.gitignore

@@ -172,3 +172,4 @@ frontend/node_modules/
 
 # data from testing llms
 data/*
+.ebook_search_bm25

AGENTS.md

@@ -0,0 +1,12 @@
+## Dev environment tips
+
+- use treefmt to format all files
+- make python code ruff compliant
+- use pytest to test python code
+- always use the minimum amount of complexity
+- if judgment calls are easy to reverse make them. if not ask me first
+- Match existing code style.
+- Use builtin helpers getenv() over os.environ.get.
+- Prefer single-purpose functions over “do everything” helpers.
+- Avoid compatibility branches like PG_USER and POSTGRESQL_URL unless requested.
+- Keep helpers only if reused or they simplify the code otherwise inline.

overlays/default.nix

@@ -17,15 +17,41 @@
 
   python-env = final: _prev: {
     my_python = final.python314.withPackages (
-      ps: with ps; [
+      ps:
+      let
+        bm25s = ps.buildPythonPackage rec {
+          pname = "bm25s";
+          version = "0.3.9";
+          pyproject = true;
+
+          src = final.fetchPypi {
+            inherit pname version;
+            hash = "sha256-iVxnnZUrfeg1XttfPhpiCh4vKU0dQrkZvwghzOLi9Zc=";
+          };
+
+          build-system = [ ps.setuptools ];
+          dependencies = with ps; [
+            numpy
+            scipy
+          ];
+
+          pythonImportsCheck = [ "bm25s" ];
+        };
+      in
+      with ps;
+      [
         alembic
         apprise
         apscheduler
+        beautifulsoup4
+        ebooklib
         fastapi
         fastapi-cli
         httpx
         mypy
+        numpy
         orjson
+        pgvector
         polars
         psycopg
         pydantic
@@ -38,6 +64,8 @@
         ruff
         scalene
         sqlalchemy
+        sqlalchemy
+        bm25s
         tenacity
         textual
         tiktoken

pyproject.toml

@@ -3,7 +3,7 @@ name = "system_tools"
 version = "0.1.0"
 description = ""
 authors = [{ name = "Richie Cahill", email = "richie@tmmworkshop.com" }]
-requires-python = "~=3.14.0"
+requires-python = "~=3.13.0"
 readme = "README.md"
 license = "MIT"
 # these dependencies are a best effort and aren't guaranteed to work
@@ -12,22 +12,20 @@ dependencies = [
     "alembic",
     "apprise",
     "apscheduler",
-    "fastapi",
-    "fastapi-cli",
     "httpx",
+    "python-multipart",
     "polars",
     "psycopg[binary]",
     "pydantic",
-    "python-multipart",
+    "pyyaml",
     "sqlalchemy",
-    "tenacity",
-    "tinytuya",
     "typer",
     "websockets",
 ]
 
 [project.scripts]
 database = "python.database_cli:app"
+van-inventory = "python.van_inventory.main:serve"
 whisper-transcribe = "python.tools.whisper.transcribe:main"
 
 [dependency-groups]
@@ -43,7 +41,7 @@ dev = [
 
 [tool.ruff]
 
-target-version = "py314"
+target-version = "py313"
 
 line-length = 120
 
@@ -86,6 +84,9 @@ lint.ignore = [
 "python/alembic/**" = [
     "INP001", # (perm) this creates LSP issues for alembic
 ]
+"python/signal_bot/**" = [
+    "D107", # (perm) class docstrings cover __init__
+]
 
 [tool.ruff.lint.pydocstyle]
 convention = "google"

python/alembic/data_science_dev/versions/2026_03_24-adding_failedingestion_2f43120e3ffc.py

@@ -0,0 +1,50 @@
+"""adding FailedIngestion.
+
+Revision ID: 2f43120e3ffc
+Revises: f99be864fe69
+Create Date: 2026-03-24 23:46:17.277897
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+from python.orm import DataScienceDevBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "2f43120e3ffc"
+down_revision: str | None = "f99be864fe69"
+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(
+        "failed_ingestion",
+        sa.Column("raw_line", sa.Text(), nullable=False),
+        sa.Column("error", sa.Text(), 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_failed_ingestion")),
+        schema=schema,
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table("failed_ingestion", schema=schema)
+    # ### end Alembic commands ###

python/alembic/data_science_dev/versions/2026_03_25-attach_partitions_to_posts.py

@@ -0,0 +1,72 @@
+"""Attach all partition tables to the posts parent table.
+
+Alembic autogenerate creates partition tables as standalone tables but does not
+emit the ALTER TABLE ... ATTACH PARTITION statements needed for PostgreSQL to
+route inserts to the correct partition.
+
+Revision ID: a1b2c3d4e5f6
+Revises: 605b1794838f
+Create Date: 2026-03-25 10:00:00.000000
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from alembic import op
+from sqlalchemy import text
+
+from python.orm import DataScienceDevBase
+from python.orm.data_science_dev.posts.partitions import (
+    PARTITION_END_YEAR,
+    PARTITION_START_YEAR,
+    iso_weeks_in_year,
+    week_bounds,
+)
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "a1b2c3d4e5f6"
+down_revision: str | None = "605b1794838f"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+schema = DataScienceDevBase.schema_name
+
+ALREADY_ATTACHED_QUERY = text("""
+    SELECT inhrelid::regclass::text
+    FROM pg_inherits
+    WHERE inhparent = :parent::regclass
+""")
+
+
+def upgrade() -> None:
+    """Attach all weekly partition tables to the posts parent table."""
+    connection = op.get_bind()
+    already_attached = {row[0] for row in connection.execute(ALREADY_ATTACHED_QUERY, {"parent": f"{schema}.posts"})}
+
+    for year in range(PARTITION_START_YEAR, PARTITION_END_YEAR + 1):
+        for week in range(1, iso_weeks_in_year(year) + 1):
+            table_name = f"posts_{year}_{week:02d}"
+            qualified_name = f"{schema}.{table_name}"
+            if qualified_name in already_attached:
+                continue
+            start, end = week_bounds(year, week)
+            start_str = start.strftime("%Y-%m-%d %H:%M:%S")
+            end_str = end.strftime("%Y-%m-%d %H:%M:%S")
+            op.execute(
+                f"ALTER TABLE {schema}.posts "
+                f"ATTACH PARTITION {qualified_name} "
+                f"FOR VALUES FROM ('{start_str}') TO ('{end_str}')"
+            )
+
+
+def downgrade() -> None:
+    """Detach all weekly partition tables from the posts parent table."""
+    for year in range(PARTITION_START_YEAR, PARTITION_END_YEAR + 1):
+        for week in range(1, iso_weeks_in_year(year) + 1):
+            table_name = f"posts_{year}_{week:02d}"
+            op.execute(f"ALTER TABLE {schema}.posts DETACH PARTITION {schema}.{table_name}")

python/alembic/data_science_dev/versions/2026_03_27-adding_congress_data_83bfc8af92d8.py

@@ -0,0 +1,153 @@
+"""adding congress data.
+
+Revision ID: 83bfc8af92d8
+Revises: a1b2c3d4e5f6
+Create Date: 2026-03-27 10:43:02.324510
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+from python.orm import DataScienceDevBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "83bfc8af92d8"
+down_revision: str | None = "a1b2c3d4e5f6"
+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(
+        "bill",
+        sa.Column("congress", sa.Integer(), nullable=False),
+        sa.Column("bill_type", sa.String(), nullable=False),
+        sa.Column("number", sa.Integer(), nullable=False),
+        sa.Column("title", sa.String(), nullable=True),
+        sa.Column("title_short", sa.String(), nullable=True),
+        sa.Column("official_title", sa.String(), nullable=True),
+        sa.Column("status", sa.String(), nullable=True),
+        sa.Column("status_at", sa.Date(), nullable=True),
+        sa.Column("sponsor_bioguide_id", sa.String(), nullable=True),
+        sa.Column("subjects_top_term", 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_bill")),
+        sa.UniqueConstraint("congress", "bill_type", "number", name="uq_bill_congress_type_number"),
+        schema=schema,
+    )
+    op.create_index("ix_bill_congress", "bill", ["congress"], unique=False, schema=schema)
+    op.create_table(
+        "legislator",
+        sa.Column("bioguide_id", sa.Text(), nullable=False),
+        sa.Column("thomas_id", sa.String(), nullable=True),
+        sa.Column("lis_id", sa.String(), nullable=True),
+        sa.Column("govtrack_id", sa.Integer(), nullable=True),
+        sa.Column("opensecrets_id", sa.String(), nullable=True),
+        sa.Column("fec_ids", sa.String(), nullable=True),
+        sa.Column("first_name", sa.String(), nullable=False),
+        sa.Column("last_name", sa.String(), nullable=False),
+        sa.Column("official_full_name", sa.String(), nullable=True),
+        sa.Column("nickname", sa.String(), nullable=True),
+        sa.Column("birthday", sa.Date(), nullable=True),
+        sa.Column("gender", sa.String(), nullable=True),
+        sa.Column("current_party", sa.String(), nullable=True),
+        sa.Column("current_state", sa.String(), nullable=True),
+        sa.Column("current_district", sa.Integer(), nullable=True),
+        sa.Column("current_chamber", 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_legislator")),
+        schema=schema,
+    )
+    op.create_index(op.f("ix_legislator_bioguide_id"), "legislator", ["bioguide_id"], unique=True, schema=schema)
+    op.create_table(
+        "bill_text",
+        sa.Column("bill_id", sa.Integer(), nullable=False),
+        sa.Column("version_code", sa.String(), nullable=False),
+        sa.Column("version_name", sa.String(), nullable=True),
+        sa.Column("text_content", sa.String(), nullable=True),
+        sa.Column("date", sa.Date(), 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_text_bill_id_bill"), ondelete="CASCADE"
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_bill_text")),
+        sa.UniqueConstraint("bill_id", "version_code", name="uq_bill_text_bill_id_version_code"),
+        schema=schema,
+    )
+    op.create_table(
+        "vote",
+        sa.Column("congress", sa.Integer(), nullable=False),
+        sa.Column("chamber", sa.String(), nullable=False),
+        sa.Column("session", sa.Integer(), nullable=False),
+        sa.Column("number", sa.Integer(), nullable=False),
+        sa.Column("vote_type", sa.String(), nullable=True),
+        sa.Column("question", sa.String(), nullable=True),
+        sa.Column("result", sa.String(), nullable=True),
+        sa.Column("result_text", sa.String(), nullable=True),
+        sa.Column("vote_date", sa.Date(), nullable=False),
+        sa.Column("yea_count", sa.Integer(), nullable=True),
+        sa.Column("nay_count", sa.Integer(), nullable=True),
+        sa.Column("not_voting_count", sa.Integer(), nullable=True),
+        sa.Column("present_count", sa.Integer(), nullable=True),
+        sa.Column("bill_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_vote_bill_id_bill")),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_vote")),
+        sa.UniqueConstraint("congress", "chamber", "session", "number", name="uq_vote_congress_chamber_session_number"),
+        schema=schema,
+    )
+    op.create_index("ix_vote_congress_chamber", "vote", ["congress", "chamber"], unique=False, schema=schema)
+    op.create_index("ix_vote_date", "vote", ["vote_date"], unique=False, schema=schema)
+    op.create_table(
+        "vote_record",
+        sa.Column("vote_id", sa.Integer(), nullable=False),
+        sa.Column("legislator_id", sa.Integer(), nullable=False),
+        sa.Column("position", sa.String(), nullable=False),
+        sa.ForeignKeyConstraint(
+            ["legislator_id"],
+            [f"{schema}.legislator.id"],
+            name=op.f("fk_vote_record_legislator_id_legislator"),
+            ondelete="CASCADE",
+        ),
+        sa.ForeignKeyConstraint(
+            ["vote_id"], [f"{schema}.vote.id"], name=op.f("fk_vote_record_vote_id_vote"), ondelete="CASCADE"
+        ),
+        sa.PrimaryKeyConstraint("vote_id", "legislator_id", name=op.f("pk_vote_record")),
+        schema=schema,
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table("vote_record", schema=schema)
+    op.drop_index("ix_vote_date", table_name="vote", schema=schema)
+    op.drop_index("ix_vote_congress_chamber", table_name="vote", schema=schema)
+    op.drop_table("vote", schema=schema)
+    op.drop_table("bill_text", schema=schema)
+    op.drop_index(op.f("ix_legislator_bioguide_id"), table_name="legislator", schema=schema)
+    op.drop_table("legislator", schema=schema)
+    op.drop_index("ix_bill_congress", table_name="bill", schema=schema)
+    op.drop_table("bill", schema=schema)
+    # ### end Alembic commands ###

python/alembic/data_science_dev/versions/2026_03_29-adding_legislatorsocialmedia_5cd7eee3549d.py

@@ -0,0 +1,58 @@
+"""adding LegislatorSocialMedia.
+
+Revision ID: 5cd7eee3549d
+Revises: 83bfc8af92d8
+Create Date: 2026-03-29 11:53:44.224799
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+
+from python.orm import DataScienceDevBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "5cd7eee3549d"
+down_revision: str | None = "83bfc8af92d8"
+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_social_media",
+        sa.Column("legislator_id", sa.Integer(), nullable=False),
+        sa.Column("platform", sa.String(), nullable=False),
+        sa.Column("account_name", sa.String(), nullable=False),
+        sa.Column("url", sa.String(), nullable=True),
+        sa.Column("source", 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(
+            ["legislator_id"],
+            [f"{schema}.legislator.id"],
+            name=op.f("fk_legislator_social_media_legislator_id_legislator"),
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_legislator_social_media")),
+        schema=schema,
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table("legislator_social_media", schema=schema)
+    # ### end Alembic commands ###

python/alembic/richie/versions/2026_06_10-add_ebook_search_tables_2db132cace1a.py

@@ -0,0 +1,200 @@
+"""add ebook search tables.
+
+Revision ID: 2db132cace1a
+Revises: b3c60cc5beb5
+Create Date: 2026-06-10 22:10:54.379159
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import pgvector
+import sqlalchemy as sa
+from alembic import op
+
+from python.orm import RichieBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "2db132cace1a"
+down_revision: str | None = "b3c60cc5beb5"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+schema = RichieBase.schema_name
+
+
+def upgrade() -> None:
+    """Upgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        "ebook_embedding_model",
+        sa.Column("name", sa.String(), nullable=False),
+        sa.Column("dimension", sa.Integer(), nullable=False),
+        sa.Column("is_default", sa.Boolean(), 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_ebook_embedding_model")),
+        sa.UniqueConstraint("name", name=op.f("uq_ebook_embedding_model_name")),
+        schema=schema,
+    )
+    op.create_table(
+        "ebook_source",
+        sa.Column("title", sa.String(), nullable=False),
+        sa.Column("author", sa.String(), nullable=True),
+        sa.Column("language", sa.String(), nullable=True),
+        sa.Column("publisher", sa.String(), nullable=True),
+        sa.Column("identifier", sa.String(), nullable=True),
+        sa.Column("file_path", sa.String(), nullable=False),
+        sa.Column("file_sha256", sa.String(length=64), nullable=False),
+        sa.Column("file_mtime", sa.DateTime(timezone=True), nullable=False),
+        sa.Column("file_size", sa.BigInteger(), 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_ebook_source")),
+        sa.UniqueConstraint("file_path", name=op.f("uq_ebook_source_file_path")),
+        sa.UniqueConstraint("file_sha256", name=op.f("uq_ebook_source_file_sha256")),
+        schema=schema,
+    )
+    op.create_table(
+        "ebook_chapter",
+        sa.Column("source_id", sa.Integer(), nullable=False),
+        sa.Column("spine_index", sa.Integer(), nullable=False),
+        sa.Column("title", sa.String(), nullable=True),
+        sa.Column("href", 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(
+            ["source_id"],
+            [f"{schema}.ebook_source.id"],
+            name=op.f("fk_ebook_chapter_source_id_ebook_source"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_chapter")),
+        sa.UniqueConstraint("source_id", "spine_index", name=op.f("uq_ebook_chapter_source_id")),
+        schema=schema,
+    )
+    op.create_table(
+        "ebook_chunk",
+        sa.Column("source_id", sa.Integer(), nullable=False),
+        sa.Column("chapter_id", sa.Integer(), nullable=True),
+        sa.Column("chunk_index", sa.Integer(), nullable=False),
+        sa.Column("text", sa.String(), nullable=False),
+        sa.Column("token_start", sa.Integer(), nullable=False),
+        sa.Column("token_count", sa.Integer(), nullable=False),
+        sa.Column("page_label", sa.String(), nullable=True),
+        sa.Column("content_sha256", sa.String(length=64), nullable=False),
+        sa.Column("search_text", sa.String(), nullable=False),
+        sa.Column("id", sa.BigInteger(), 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(
+            ["chapter_id"],
+            [f"{schema}.ebook_chapter.id"],
+            name=op.f("fk_ebook_chunk_chapter_id_ebook_chapter"),
+            ondelete="SET NULL",
+        ),
+        sa.ForeignKeyConstraint(
+            ["source_id"],
+            [f"{schema}.ebook_source.id"],
+            name=op.f("fk_ebook_chunk_source_id_ebook_source"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_chunk")),
+        sa.UniqueConstraint("source_id", "chunk_index", name="uq_ebook_chunk_source_id_chunk_index"),
+        sa.UniqueConstraint("source_id", "content_sha256", name="uq_ebook_chunk_source_id_content_sha256"),
+        schema=schema,
+    )
+    op.create_table(
+        "ebook_chunk_embedding_1024",
+        sa.Column("chunk_id", sa.BigInteger(), nullable=False),
+        sa.Column("model_id", sa.Integer(), nullable=False),
+        sa.Column("embedding", pgvector.sqlalchemy.vector.VECTOR(dim=1024), nullable=False),
+        sa.Column("id", sa.BigInteger(), 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(
+            ["chunk_id"],
+            [f"{schema}.ebook_chunk.id"],
+            name=op.f("fk_ebook_chunk_embedding_1024_chunk_id_ebook_chunk"),
+            ondelete="CASCADE",
+        ),
+        sa.ForeignKeyConstraint(
+            ["model_id"],
+            [f"{schema}.ebook_embedding_model.id"],
+            name=op.f("fk_ebook_chunk_embedding_1024_model_id_ebook_embedding_model"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_chunk_embedding_1024")),
+        sa.UniqueConstraint("chunk_id", "model_id", name=op.f("uq_ebook_chunk_embedding_1024_chunk_id")),
+        schema=schema,
+    )
+    op.create_table(
+        "ebook_chunk_embedding_2560",
+        sa.Column("chunk_id", sa.BigInteger(), nullable=False),
+        sa.Column("model_id", sa.Integer(), nullable=False),
+        sa.Column("embedding", pgvector.sqlalchemy.vector.VECTOR(dim=2560), nullable=False),
+        sa.Column("id", sa.BigInteger(), 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(
+            ["chunk_id"],
+            [f"{schema}.ebook_chunk.id"],
+            name=op.f("fk_ebook_chunk_embedding_2560_chunk_id_ebook_chunk"),
+            ondelete="CASCADE",
+        ),
+        sa.ForeignKeyConstraint(
+            ["model_id"],
+            [f"{schema}.ebook_embedding_model.id"],
+            name=op.f("fk_ebook_chunk_embedding_2560_model_id_ebook_embedding_model"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_chunk_embedding_2560")),
+        sa.UniqueConstraint("chunk_id", "model_id", name=op.f("uq_ebook_chunk_embedding_2560_chunk_id")),
+        schema=schema,
+    )
+    op.create_table(
+        "ebook_chunk_embedding_4096",
+        sa.Column("chunk_id", sa.BigInteger(), nullable=False),
+        sa.Column("model_id", sa.Integer(), nullable=False),
+        sa.Column("embedding", pgvector.sqlalchemy.vector.VECTOR(dim=4096), nullable=False),
+        sa.Column("id", sa.BigInteger(), 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(
+            ["chunk_id"],
+            [f"{schema}.ebook_chunk.id"],
+            name=op.f("fk_ebook_chunk_embedding_4096_chunk_id_ebook_chunk"),
+            ondelete="CASCADE",
+        ),
+        sa.ForeignKeyConstraint(
+            ["model_id"],
+            [f"{schema}.ebook_embedding_model.id"],
+            name=op.f("fk_ebook_chunk_embedding_4096_model_id_ebook_embedding_model"),
+            ondelete="CASCADE",
+        ),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_ebook_chunk_embedding_4096")),
+        sa.UniqueConstraint("chunk_id", "model_id", name=op.f("uq_ebook_chunk_embedding_4096_chunk_id")),
+        schema=schema,
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table("ebook_chunk_embedding_4096", schema=schema)
+    op.drop_table("ebook_chunk_embedding_2560", schema=schema)
+    op.drop_table("ebook_chunk_embedding_1024", schema=schema)
+    op.drop_table("ebook_chunk", schema=schema)
+    op.drop_table("ebook_chapter", schema=schema)
+    op.drop_table("ebook_source", schema=schema)
+    op.drop_table("ebook_embedding_model", schema=schema)
+    # ### end Alembic commands ###

python/alembic/signal_bot/versions/2026_03_17-seprating_signal_bot_database_6eaf696e07a5.py

@@ -0,0 +1,100 @@
+"""seprating signal_bot database.
+
+Revision ID: 6eaf696e07a5
+Revises:
+Create Date: 2026-03-17 21:35:37.612672
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.dialects import postgresql
+
+from python.orm import SignalBotBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "6eaf696e07a5"
+down_revision: str | None = None
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+schema = SignalBotBase.schema_name
+
+
+def upgrade() -> None:
+    """Upgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table(
+        "dead_letter_message",
+        sa.Column("source", sa.String(), nullable=False),
+        sa.Column("message", sa.Text(), nullable=False),
+        sa.Column("received_at", sa.DateTime(timezone=True), nullable=False),
+        sa.Column(
+            "status", postgresql.ENUM("UNPROCESSED", "PROCESSED", name="message_status", schema=schema), 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_dead_letter_message")),
+        schema=schema,
+    )
+    op.create_table(
+        "role",
+        sa.Column("name", sa.String(length=50), nullable=False),
+        sa.Column("id", sa.SmallInteger(), 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_role")),
+        sa.UniqueConstraint("name", name=op.f("uq_role_name")),
+        schema=schema,
+    )
+    op.create_table(
+        "signal_device",
+        sa.Column("phone_number", sa.String(length=50), nullable=False),
+        sa.Column("safety_number", sa.String(), nullable=True),
+        sa.Column(
+            "trust_level",
+            postgresql.ENUM("VERIFIED", "UNVERIFIED", "BLOCKED", name="trust_level", schema=schema),
+            nullable=False,
+        ),
+        sa.Column("last_seen", sa.DateTime(timezone=True), 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_signal_device")),
+        sa.UniqueConstraint("phone_number", name=op.f("uq_signal_device_phone_number")),
+        schema=schema,
+    )
+    op.create_table(
+        "device_role",
+        sa.Column("device_id", sa.Integer(), nullable=False),
+        sa.Column("role_id", sa.SmallInteger(), 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(
+            ["device_id"], [f"{schema}.signal_device.id"], name=op.f("fk_device_role_device_id_signal_device")
+        ),
+        sa.ForeignKeyConstraint(["role_id"], [f"{schema}.role.id"], name=op.f("fk_device_role_role_id_role")),
+        sa.PrimaryKeyConstraint("id", name=op.f("pk_device_role")),
+        sa.UniqueConstraint("device_id", "role_id", name="uq_device_role_device_role"),
+        schema=schema,
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_table("device_role", schema=schema)
+    op.drop_table("signal_device", schema=schema)
+    op.drop_table("role", schema=schema)
+    op.drop_table("dead_letter_message", schema=schema)
+    # ### end Alembic commands ###

python/alembic/signal_bot/versions/2026_03_18-test_66bdd532bcab.py

@@ -0,0 +1,72 @@
+"""test.
+
+Revision ID: 66bdd532bcab
+Revises: 6eaf696e07a5
+Create Date: 2026-03-18 19:21:14.561568
+
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.dialects import postgresql
+
+from python.orm import SignalBotBase
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+# revision identifiers, used by Alembic.
+revision: str = "66bdd532bcab"
+down_revision: str | None = "6eaf696e07a5"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+schema = SignalBotBase.schema_name
+
+
+def upgrade() -> None:
+    """Upgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.alter_column(
+        "dead_letter_message",
+        "status",
+        existing_type=postgresql.ENUM("UNPROCESSED", "PROCESSED", name="message_status", schema=schema),
+        type_=sa.Enum("UNPROCESSED", "PROCESSED", name="message_status", native_enum=False),
+        existing_nullable=False,
+        schema=schema,
+    )
+    op.alter_column(
+        "signal_device",
+        "trust_level",
+        existing_type=postgresql.ENUM("VERIFIED", "UNVERIFIED", "BLOCKED", name="trust_level", schema=schema),
+        type_=sa.Enum("VERIFIED", "UNVERIFIED", "BLOCKED", name="trust_level", native_enum=False),
+        existing_nullable=False,
+        schema=schema,
+    )
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.alter_column(
+        "signal_device",
+        "trust_level",
+        existing_type=sa.Enum("VERIFIED", "UNVERIFIED", "BLOCKED", name="trust_level", native_enum=False),
+        type_=postgresql.ENUM("VERIFIED", "UNVERIFIED", "BLOCKED", name="trust_level", schema=schema),
+        existing_nullable=False,
+        schema=schema,
+    )
+    op.alter_column(
+        "dead_letter_message",
+        "status",
+        existing_type=sa.Enum("UNPROCESSED", "PROCESSED", name="message_status", native_enum=False),
+        type_=postgresql.ENUM("UNPROCESSED", "PROCESSED", name="message_status", schema=schema),
+        existing_nullable=False,
+        schema=schema,
+    )
+    # ### end Alembic commands ###

python/api/dependencies.py

@@ -1,15 +1,11 @@
 """FastAPI dependencies."""
 
-from __future__ import annotations
+from collections.abc import Iterator
-
+from typing import Annotated
-from typing import TYPE_CHECKING, Annotated
 
 from fastapi import Depends, Request
 from sqlalchemy.orm import Session
 
-if TYPE_CHECKING:
-    from collections.abc import Iterator
-
 
 def get_db(request: Request) -> Iterator[Session]:
     """Get database session from app state."""

python/api/main.py

@@ -1,10 +1,9 @@
 """FastAPI interface for Contact database."""
 
-from __future__ import annotations
-
 import logging
+from collections.abc import AsyncIterator
 from contextlib import asynccontextmanager
-from typing import TYPE_CHECKING, Annotated
+from typing import Annotated
 
 import typer
 import uvicorn
@@ -15,9 +14,6 @@ from python.api.routers import contact_router, views_router
 from python.common import configure_logger
 from python.orm.common import get_postgres_engine
 
-if TYPE_CHECKING:
-    from collections.abc import AsyncIterator
-
 logger = logging.getLogger(__name__)
 
 

python/api/middleware.py

@@ -1,14 +1,10 @@
 """Middleware for the FastAPI application."""
 
 from compression import zstd
-from typing import TYPE_CHECKING
-
 from starlette.middleware.base import BaseHTTPMiddleware, RequestResponseEndpoint
+from starlette.requests import Request
 from starlette.responses import Response
 
-if TYPE_CHECKING:
-    from starlette.requests import Request
-
 MINIMUM_RESPONSE_SIZE = 500
 
 

python/api/routers/contact.py

@@ -9,7 +9,7 @@ from pydantic import BaseModel
 from sqlalchemy import select
 from sqlalchemy.orm import selectinload
 
-from python.api.dependencies import DbSession  # noqa: TC001 this is a FastAPI needed at runtime
+from python.api.dependencies import DbSession
 from python.orm.richie.contact import Contact, ContactRelationship, Need, RelationshipType
 
 TEMPLATES_DIR = Path(__file__).parent.parent / "templates"

python/api/routers/views.py

@@ -9,7 +9,7 @@ from fastapi.templating import Jinja2Templates
 from sqlalchemy import select
 from sqlalchemy.orm import Session, selectinload
 
-from python.api.dependencies import DbSession  # noqa: TC001 this is a FastAPI needed at runtime
+from python.api.dependencies import DbSession
 from python.orm.richie.contact import Contact, ContactRelationship, Need, RelationshipType
 
 TEMPLATES_DIR = Path(__file__).parent.parent / "templates"

python/data_science/__init__.py

@@ -0,0 +1,3 @@
+"""Data science CLI tools."""
+
+from __future__ import annotations

python/data_science/ingest_congress.py

@@ -0,0 +1,613 @@
+"""Ingestion pipeline for loading congress data from unitedstates/congress JSON files.
+
+Loads legislators, bills, votes, vote records, and bill text into the data_science_dev database.
+Expects the parent directory to contain congress-tracker/ and congress-legislators/ as siblings.
+
+Usage:
+    ingest-congress /path/to/parent/
+    ingest-congress /path/to/parent/ --congress 118
+    ingest-congress /path/to/parent/ --congress 118 --only bills
+"""
+
+from __future__ import annotations
+
+import logging
+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.orm import Session
+
+from python.common import configure_logger
+from python.orm.common import get_postgres_engine
+from python.orm.data_science_dev.congress import Bill, BillText, Legislator, LegislatorSocialMedia, Vote, VoteRecord
+
+if TYPE_CHECKING:
+    from collections.abc import Iterator
+
+    from sqlalchemy.engine import Engine
+
+logger = logging.getLogger(__name__)
+
+BATCH_SIZE = 10_000
+
+app = typer.Typer(help="Ingest unitedstates/congress data into data_science_dev.")
+
+
+@app.command()
+def main(
+    parent_dir: Annotated[
+        Path,
+        typer.Argument(help="Parent directory containing congress-tracker/ and congress-legislators/"),
+    ],
+    congress: Annotated[int | None, typer.Option(help="Only ingest a specific congress number")] = None,
+    only: Annotated[
+        str | None,
+        typer.Option(help="Only run a specific step: legislators, social-media, bills, votes, bill-text"),
+    ] = None,
+) -> None:
+    """Ingest congress data from unitedstates/congress JSON files."""
+    configure_logger(level="INFO")
+
+    data_dir = parent_dir / "congress-tracker/congress/data/"
+    legislators_dir = parent_dir / "congress-legislators"
+
+    if not data_dir.is_dir():
+        typer.echo(f"Expected congress-tracker/ directory: {data_dir}", err=True)
+        raise typer.Exit(code=1)
+
+    if not legislators_dir.is_dir():
+        typer.echo(f"Expected congress-legislators/ directory: {legislators_dir}", err=True)
+        raise typer.Exit(code=1)
+
+    engine = get_postgres_engine(name="DATA_SCIENCE_DEV")
+
+    congress_dirs = _resolve_congress_dirs(data_dir, congress)
+    if not congress_dirs:
+        typer.echo("No congress directories found.", err=True)
+        raise typer.Exit(code=1)
+
+    logger.info("Found %d congress directories to process", len(congress_dirs))
+
+    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)),
+    }
+
+    if only:
+        if only not in steps:
+            typer.echo(f"Unknown step: {only}. Choose from: {', '.join(steps)}", err=True)
+            raise typer.Exit(code=1)
+        steps = {only: steps[only]}
+
+    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)
+
+    logger.info("ingest-congress done")
+
+
+def _resolve_congress_dirs(data_dir: Path, congress: int | None) -> list[Path]:
+    """Find congress number directories under data_dir."""
+    if congress is not None:
+        target = data_dir / str(congress)
+        return [target] if target.is_dir() else []
+    return sorted(path for path in data_dir.iterdir() if path.is_dir() and path.name.isdigit())
+
+
+def _flush_batch(session: Session, batch: list[object], label: str) -> int:
+    """Add a batch of ORM objects to the session and commit. Returns count added."""
+    if not batch:
+        return 0
+    session.add_all(batch)
+    session.commit()
+    count = len(batch)
+    logger.info("Committed %d %s", count, label)
+    batch.clear()
+    return count
+
+
+# ---------------------------------------------------------------------------
+# Legislators — loaded from congress-legislators YAML files
+# ---------------------------------------------------------------------------
+
+
+def ingest_legislators(engine: Engine, legislators_dir: Path) -> None:
+    """Load legislators from congress-legislators YAML files."""
+    legislators_data = _load_legislators_yaml(legislators_dir)
+    logger.info("Loaded %d legislators from YAML files", len(legislators_data))
+
+    with Session(engine) as session:
+        existing_legislators = {
+            legislator.bioguide_id: legislator for legislator in session.scalars(select(Legislator)).all()
+        }
+        logger.info("Found %d existing legislators in DB", len(existing_legislators))
+
+        total_inserted = 0
+        total_updated = 0
+        for entry in legislators_data:
+            bioguide_id = entry.get("id", {}).get("bioguide")
+            if not bioguide_id:
+                continue
+
+            fields = _parse_legislator(entry)
+            if existing := existing_legislators.get(bioguide_id):
+                changed = False
+                for field, value in fields.items():
+                    if value is not None and getattr(existing, field) != value:
+                        setattr(existing, field, value)
+                        changed = True
+                if changed:
+                    total_updated += 1
+            else:
+                session.add(Legislator(bioguide_id=bioguide_id, **fields))
+                total_inserted += 1
+
+        session.commit()
+    logger.info("Inserted %d new legislators, updated %d existing", total_inserted, total_updated)
+
+
+def _load_legislators_yaml(legislators_dir: Path) -> list[dict]:
+    """Load and combine legislators-current.yaml and legislators-historical.yaml."""
+    legislators: list[dict] = []
+    for filename in ("legislators-current.yaml", "legislators-historical.yaml"):
+        path = legislators_dir / filename
+        if not path.exists():
+            logger.warning("Legislators file not found: %s", path)
+            continue
+        with path.open() as file:
+            data = yaml.safe_load(file)
+            if isinstance(data, list):
+                legislators.extend(data)
+    return legislators
+
+
+def _parse_legislator(entry: dict) -> dict:
+    """Extract Legislator fields from a congress-legislators YAML entry."""
+    ids = entry.get("id", {})
+    name = entry.get("name", {})
+    bio = entry.get("bio", {})
+    terms = entry.get("terms", [])
+    latest_term = terms[-1] if terms else {}
+
+    fec_ids = ids.get("fec")
+    fec_ids_joined = ",".join(fec_ids) if isinstance(fec_ids, list) else fec_ids
+
+    chamber = latest_term.get("type")
+    chamber_normalized = {"rep": "House", "sen": "Senate"}.get(chamber, chamber)
+
+    return {
+        "thomas_id": ids.get("thomas"),
+        "lis_id": ids.get("lis"),
+        "govtrack_id": ids.get("govtrack"),
+        "opensecrets_id": ids.get("opensecrets"),
+        "fec_ids": fec_ids_joined,
+        "first_name": name.get("first"),
+        "last_name": name.get("last"),
+        "official_full_name": name.get("official_full"),
+        "nickname": name.get("nickname"),
+        "birthday": bio.get("birthday"),
+        "gender": bio.get("gender"),
+        "current_party": latest_term.get("party"),
+        "current_state": latest_term.get("state"),
+        "current_district": latest_term.get("district"),
+        "current_chamber": chamber_normalized,
+    }
+
+
+# ---------------------------------------------------------------------------
+# Social Media — loaded from legislators-social-media.yaml
+# ---------------------------------------------------------------------------
+
+SOCIAL_MEDIA_PLATFORMS = {
+    "twitter": "https://twitter.com/{account}",
+    "facebook": "https://facebook.com/{account}",
+    "youtube": "https://youtube.com/{account}",
+    "instagram": "https://instagram.com/{account}",
+    "mastodon": None,
+}
+
+
+def ingest_social_media(engine: Engine, legislators_dir: Path) -> None:
+    """Load social media accounts from legislators-social-media.yaml."""
+    social_media_path = legislators_dir / "legislators-social-media.yaml"
+    if not social_media_path.exists():
+        logger.warning("Social media file not found: %s", social_media_path)
+        return
+
+    with social_media_path.open() as file:
+        social_media_data = yaml.safe_load(file)
+
+    if not isinstance(social_media_data, list):
+        logger.warning("Unexpected format in %s", social_media_path)
+        return
+
+    logger.info("Loaded %d entries from legislators-social-media.yaml", len(social_media_data))
+
+    with Session(engine) as session:
+        legislator_map = _build_legislator_map(session)
+        existing_accounts = {
+            (account.legislator_id, account.platform)
+            for account in session.scalars(select(LegislatorSocialMedia)).all()
+        }
+        logger.info("Found %d existing social media accounts in DB", len(existing_accounts))
+
+        total_inserted = 0
+        total_updated = 0
+        for entry in social_media_data:
+            bioguide_id = entry.get("id", {}).get("bioguide")
+            if not bioguide_id:
+                continue
+
+            legislator_id = legislator_map.get(bioguide_id)
+            if legislator_id is None:
+                continue
+
+            social = entry.get("social", {})
+            for platform, url_template in SOCIAL_MEDIA_PLATFORMS.items():
+                account_name = social.get(platform)
+                if not account_name:
+                    continue
+
+                url = url_template.format(account=account_name) if url_template else None
+
+                if (legislator_id, platform) in existing_accounts:
+                    total_updated += 1
+                else:
+                    session.add(
+                        LegislatorSocialMedia(
+                            legislator_id=legislator_id,
+                            platform=platform,
+                            account_name=str(account_name),
+                            url=url,
+                            source="https://github.com/unitedstates/congress-legislators",
+                        )
+                    )
+                    existing_accounts.add((legislator_id, platform))
+                    total_inserted += 1
+
+        session.commit()
+    logger.info("Inserted %d new social media accounts, updated %d existing", total_inserted, total_updated)
+
+
+def _iter_voters(position_group: object) -> Iterator[dict]:
+    """Yield voter dicts from a vote position group (handles list, single dict, or string)."""
+    if isinstance(position_group, dict):
+        yield position_group
+    elif isinstance(position_group, list):
+        for voter in position_group:
+            if isinstance(voter, dict):
+                yield voter
+
+
+# ---------------------------------------------------------------------------
+# Bills
+# ---------------------------------------------------------------------------
+
+
+def ingest_bills(engine: Engine, congress_dirs: list[Path]) -> None:
+    """Load bill data.json files."""
+    with Session(engine) as session:
+        existing_bills = {(bill.congress, bill.bill_type, bill.number) for bill in session.scalars(select(Bill)).all()}
+        logger.info("Found %d existing bills in DB", len(existing_bills))
+
+        total_inserted = 0
+        batch: list[Bill] = []
+        for congress_dir in congress_dirs:
+            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:
+                    continue
+                bill = _parse_bill(data, existing_bills)
+                if bill is not None:
+                    batch.append(bill)
+                    if len(batch) >= BATCH_SIZE:
+                        total_inserted += _flush_batch(session, batch, "bills")
+
+        total_inserted += _flush_batch(session, batch, "bills")
+    logger.info("Inserted %d new bills total", total_inserted)
+
+
+def _parse_bill(data: dict, existing_bills: set[tuple[int, str, int]]) -> Bill | None:
+    """Parse a bill data.json dict into a Bill ORM object, skipping existing."""
+    raw_congress = data.get("congress")
+    bill_type = data.get("bill_type")
+    raw_number = data.get("number")
+    if raw_congress is None or bill_type is None or raw_number is None:
+        return None
+    congress = int(raw_congress)
+    number = int(raw_number)
+    if (congress, bill_type, number) in existing_bills:
+        return None
+
+    sponsor_bioguide = None
+    sponsor = data.get("sponsor")
+    if sponsor:
+        sponsor_bioguide = sponsor.get("bioguide_id")
+
+    return Bill(
+        congress=congress,
+        bill_type=bill_type,
+        number=number,
+        title=data.get("short_title") or data.get("official_title"),
+        title_short=data.get("short_title"),
+        official_title=data.get("official_title"),
+        status=data.get("status"),
+        status_at=data.get("status_at"),
+        sponsor_bioguide_id=sponsor_bioguide,
+        subjects_top_term=data.get("subjects_top_term"),
+    )
+
+
+# ---------------------------------------------------------------------------
+# Votes (and vote records)
+# ---------------------------------------------------------------------------
+
+
+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)
+        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))
+        existing_votes = {
+            (vote.congress, vote.chamber, vote.session, vote.number) for vote in session.scalars(select(Vote)).all()
+        }
+        logger.info("Found %d existing votes in DB", len(existing_votes))
+
+        total_inserted = 0
+        batch: list[Vote] = []
+        for congress_dir in congress_dirs:
+            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:
+                    continue
+                vote = _parse_vote(data, legislator_map, bill_map, existing_votes)
+                if vote is not None:
+                    batch.append(vote)
+                    if len(batch) >= BATCH_SIZE:
+                        total_inserted += _flush_batch(session, batch, "votes")
+
+        total_inserted += _flush_batch(session, batch, "votes")
+    logger.info("Inserted %d new votes total", total_inserted)
+
+
+def _build_legislator_map(session: Session) -> dict[str, int]:
+    """Build a mapping of bioguide_id -> legislator.id."""
+    return {legislator.bioguide_id: legislator.id for legislator in session.scalars(select(Legislator)).all()}
+
+
+def _build_bill_map(session: Session) -> dict[tuple[int, str, int], int]:
+    """Build a mapping of (congress, bill_type, number) -> bill.id."""
+    return {(bill.congress, bill.bill_type, bill.number): bill.id for bill in session.scalars(select(Bill)).all()}
+
+
+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]],
+) -> Vote | None:
+    """Parse a vote data.json dict into a Vote ORM object with records."""
+    raw_congress = data.get("congress")
+    chamber = data.get("chamber")
+    raw_number = data.get("number")
+    vote_date = data.get("date")
+    if raw_congress is None or chamber is None or raw_number is None or vote_date is None:
+        return None
+
+    raw_session = data.get("session")
+    if raw_session is None:
+        return None
+
+    congress = int(raw_congress)
+    number = int(raw_number)
+    session_number = int(raw_session)
+
+    # Normalize chamber from "h"/"s" to "House"/"Senate"
+    chamber_normalized = {"h": "House", "s": "Senate"}.get(chamber, chamber)
+
+    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)
+
+    return Vote(
+        congress=congress,
+        chamber=chamber_normalized,
+        session=session_number,
+        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_records=vote_records,
+        **vote_counts,
+    )
+
+
+def _count_votes(raw_votes: dict) -> dict[str, int]:
+    """Count voters per position category, correctly handling dict and list formats."""
+    yea_count = 0
+    nay_count = 0
+    not_voting_count = 0
+    present_count = 0
+
+    for position, position_group in raw_votes.items():
+        voter_count = sum(1 for _ in _iter_voters(position_group))
+        if position in ("Yea", "Aye"):
+            yea_count += voter_count
+        elif position in ("Nay", "No"):
+            nay_count += voter_count
+        elif position == "Not Voting":
+            not_voting_count += voter_count
+        elif position == "Present":
+            present_count += voter_count
+
+    return {
+        "yea_count": yea_count,
+        "nay_count": nay_count,
+        "not_voting_count": not_voting_count,
+        "present_count": present_count,
+    }
+
+
+def _build_vote_records(raw_votes: dict, legislator_map: dict[str, int]) -> list[VoteRecord]:
+    """Build VoteRecord objects from raw vote data."""
+    records: list[VoteRecord] = []
+    for position, position_group in raw_votes.items():
+        for voter in _iter_voters(position_group):
+            bioguide_id = voter.get("id")
+            if not bioguide_id:
+                continue
+            legislator_id = legislator_map.get(bioguide_id)
+            if legislator_id is None:
+                continue
+            records.append(
+                VoteRecord(
+                    legislator_id=legislator_id,
+                    position=position,
+                )
+            )
+    return records
+
+
+# ---------------------------------------------------------------------------
+# Bill Text
+# ---------------------------------------------------------------------------
+
+
+def ingest_bill_text(engine: Engine, congress_dirs: list[Path]) -> None:
+    """Load bill text from text-versions directories."""
+    with Session(engine) as session:
+        bill_map = _build_bill_map(session)
+        logger.info("Loaded %d bills into lookup map", len(bill_map))
+        existing_bill_texts = {
+            (bill_text.bill_id, bill_text.version_code) for bill_text in session.scalars(select(BillText)).all()
+        }
+        logger.info("Found %d existing bill text versions in DB", len(existing_bill_texts))
+
+        total_inserted = 0
+        batch: list[BillText] = []
+        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):
+                batch.append(bill_text)
+                if len(batch) >= BATCH_SIZE:
+                    total_inserted += _flush_batch(session, batch, "bill texts")
+
+        total_inserted += _flush_batch(session, batch, "bill texts")
+    logger.info("Inserted %d new bill text versions total", total_inserted)
+
+
+def _iter_bill_texts(
+    congress_dir: Path,
+    bill_map: dict[tuple[int, str, int], int],
+    existing_bill_texts: set[tuple[int, str]],
+) -> Iterator[BillText]:
+    """Yield BillText objects for a single congress directory, skipping existing."""
+    bills_dir = congress_dir / "bills"
+    if not bills_dir.is_dir():
+        return
+
+    for bill_dir in bills_dir.rglob("text-versions"):
+        if not bill_dir.is_dir():
+            continue
+        bill_key = _bill_key_from_dir(bill_dir.parent, congress_dir)
+        if bill_key is None:
+            continue
+        bill_id = bill_map.get(bill_key)
+        if bill_id is None:
+            continue
+
+        for version_dir in sorted(bill_dir.iterdir()):
+            if not version_dir.is_dir():
+                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")
+            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,
+            )
+
+
+def _bill_key_from_dir(bill_dir: Path, congress_dir: Path) -> tuple[int, str, int] | None:
+    """Extract (congress, bill_type, number) from directory structure."""
+    congress = int(congress_dir.name)
+    bill_type = bill_dir.parent.name
+    name = bill_dir.name
+    # Directory name is like "hr3590" — strip the type prefix to get the number
+    number_str = name[len(bill_type) :]
+    if not number_str.isdigit():
+        return None
+    return (congress, bill_type, int(number_str))
+
+
+def _read_bill_text(version_dir: Path) -> str | None:
+    """Read bill text from a version directory, preferring .txt over .xml."""
+    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:
+            try:
+                return candidates[0].read_text(encoding="utf-8")
+            except Exception:
+                logger.exception("Failed to read %s", candidates[0])
+    return None
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+
+def _read_json(path: Path) -> dict | None:
+    """Read and parse a JSON file, returning None on failure."""
+    try:
+        return orjson.loads(path.read_bytes())
+    except FileNotFoundError:
+        return None
+    except Exception:
+        logger.exception("Failed to parse %s", path)
+        return None
+
+
+if __name__ == "__main__":
+    app()

python/data_science/ingest_posts.py

@@ -0,0 +1,247 @@
+"""Ingestion pipeline for loading JSONL post files into the weekly-partitioned posts table.
+
+Usage:
+    ingest-posts /path/to/files/
+    ingest-posts /path/to/single_file.jsonl
+    ingest-posts /data/dir/ --workers 4 --batch-size 5000
+"""
+
+from __future__ import annotations
+
+import logging
+from datetime import UTC, datetime
+from pathlib import Path  # noqa: TC003 this is needed for typer
+from typing import TYPE_CHECKING, Annotated
+
+import orjson
+import psycopg
+import typer
+
+from python.common import configure_logger
+from python.orm.common import get_connection_info
+from python.parallelize import parallelize_process
+
+if TYPE_CHECKING:
+    from collections.abc import Iterator
+
+logger = logging.getLogger(__name__)
+
+
+app = typer.Typer(help="Ingest JSONL post files into the partitioned posts table.")
+
+
+@app.command()
+def main(
+    path: Annotated[Path, typer.Argument(help="Directory containing JSONL files, or a single JSONL file")],
+    batch_size: Annotated[int, typer.Option(help="Rows per INSERT batch")] = 10000,
+    workers: Annotated[int, typer.Option(help="Parallel workers for multi-file ingestion")] = 4,
+    pattern: Annotated[str, typer.Option(help="Glob pattern for JSONL files")] = "*.jsonl",
+) -> None:
+    """Ingest JSONL post files into the weekly-partitioned posts table."""
+    configure_logger(level="INFO")
+
+    logger.info("starting ingest-posts")
+    logger.info("path=%s batch_size=%d workers=%d pattern=%s", path, batch_size, workers, pattern)
+    if path.is_file():
+        ingest_file(path, batch_size=batch_size)
+    elif path.is_dir():
+        ingest_directory(path, batch_size=batch_size, max_workers=workers, pattern=pattern)
+    else:
+        typer.echo(f"Path does not exist: {path}", err=True)
+        raise typer.Exit(code=1)
+
+    logger.info("ingest-posts done")
+
+
+def ingest_directory(
+    directory: Path,
+    *,
+    batch_size: int,
+    max_workers: int,
+    pattern: str = "*.jsonl",
+) -> None:
+    """Ingest all JSONL files in a directory using parallel workers."""
+    files = sorted(directory.glob(pattern))
+    if not files:
+        logger.warning("No JSONL files found in %s", directory)
+        return
+
+    logger.info("Found %d JSONL files to ingest", len(files))
+
+    kwargs_list = [{"path": fp, "batch_size": batch_size} for fp in files]
+    parallelize_process(ingest_file, kwargs_list, max_workers=max_workers)
+
+
+SCHEMA = "main"
+
+COLUMNS = (
+    "post_id",
+    "user_id",
+    "instance",
+    "date",
+    "text",
+    "langs",
+    "like_count",
+    "reply_count",
+    "repost_count",
+    "reply_to",
+    "replied_author",
+    "thread_root",
+    "thread_root_author",
+    "repost_from",
+    "reposted_author",
+    "quotes",
+    "quoted_author",
+    "labels",
+    "sent_label",
+    "sent_score",
+)
+
+INSERT_FROM_STAGING = f"""
+    INSERT INTO {SCHEMA}.posts ({", ".join(COLUMNS)})
+    SELECT {", ".join(COLUMNS)} FROM pg_temp.staging
+    ON CONFLICT (post_id, date) DO NOTHING
+"""  # noqa: S608
+
+FAILED_INSERT = f"""
+    INSERT INTO {SCHEMA}.failed_ingestion (raw_line, error)
+    VALUES (%(raw_line)s, %(error)s)
+"""  # noqa: S608
+
+
+def get_psycopg_connection() -> psycopg.Connection:
+    """Create a raw psycopg3 connection from environment variables."""
+    database, host, port, username, password = get_connection_info("DATA_SCIENCE_DEV")
+    return psycopg.connect(
+        dbname=database,
+        host=host,
+        port=int(port),
+        user=username,
+        password=password,
+        autocommit=False,
+    )
+
+
+def ingest_file(path: Path, *, batch_size: int) -> None:
+    """Ingest a single JSONL file into the posts table."""
+    log_trigger = max(100_000 // batch_size, 1)
+    failed_lines: list[dict] = []
+    try:
+        with get_psycopg_connection() as connection:
+            for index, batch in enumerate(read_jsonl_batches(path, batch_size, failed_lines), 1):
+                ingest_batch(connection, batch)
+                if index % log_trigger == 0:
+                    logger.info("Ingested %d batches (%d rows) from %s", index, index * batch_size, path)
+
+            if failed_lines:
+                logger.warning("Recording %d malformed lines from %s", len(failed_lines), path.name)
+                with connection.cursor() as cursor:
+                    cursor.executemany(FAILED_INSERT, failed_lines)
+                connection.commit()
+    except Exception:
+        logger.exception("Failed to ingest file: %s", path)
+        raise
+
+
+def ingest_batch(connection: psycopg.Connection, batch: list[dict]) -> None:
+    """COPY batch into a temp staging table, then INSERT ... ON CONFLICT into posts."""
+    if not batch:
+        return
+
+    try:
+        with connection.cursor() as cursor:
+            cursor.execute(f"""
+                CREATE TEMP TABLE IF NOT EXISTS staging
+                (LIKE {SCHEMA}.posts INCLUDING DEFAULTS)
+                ON COMMIT DELETE ROWS
+            """)
+            cursor.execute("TRUNCATE pg_temp.staging")
+
+            with cursor.copy(f"COPY pg_temp.staging ({', '.join(COLUMNS)}) FROM STDIN") as copy:
+                for row in batch:
+                    copy.write_row(tuple(row.get(column) for column in COLUMNS))
+
+            cursor.execute(INSERT_FROM_STAGING)
+        connection.commit()
+    except Exception as error:
+        connection.rollback()
+
+        if len(batch) == 1:
+            logger.exception("Skipping bad row post_id=%s", batch[0].get("post_id"))
+            with connection.cursor() as cursor:
+                cursor.execute(
+                    FAILED_INSERT,
+                    {
+                        "raw_line": orjson.dumps(batch[0], default=str).decode(),
+                        "error": str(error),
+                    },
+                )
+            connection.commit()
+            return
+
+        midpoint = len(batch) // 2
+        ingest_batch(connection, batch[:midpoint])
+        ingest_batch(connection, batch[midpoint:])
+
+
+def read_jsonl_batches(file_path: Path, batch_size: int, failed_lines: list[dict]) -> Iterator[list[dict]]:
+    """Stream a JSONL file and yield batches of transformed rows."""
+    batch: list[dict] = []
+    with file_path.open("r", encoding="utf-8") as handle:
+        for raw_line in handle:
+            line = raw_line.strip()
+            if not line:
+                continue
+            batch.extend(parse_line(line, file_path, failed_lines))
+            if len(batch) >= batch_size:
+                yield batch
+                batch = []
+    if batch:
+        yield batch
+
+
+def parse_line(line: str, file_path: Path, failed_lines: list[dict]) -> Iterator[dict]:
+    """Parse a JSONL line, handling concatenated JSON objects."""
+    try:
+        yield transform_row(orjson.loads(line))
+    except orjson.JSONDecodeError:
+        if "}{" not in line:
+            logger.warning("Skipping malformed line in %s: %s", file_path.name, line[:120])
+            failed_lines.append({"raw_line": line, "error": "malformed JSON"})
+            return
+        fragments = line.replace("}{", "}\n{").split("\n")
+        for fragment in fragments:
+            try:
+                yield transform_row(orjson.loads(fragment))
+            except (orjson.JSONDecodeError, KeyError, ValueError) as error:
+                logger.warning("Skipping malformed fragment in %s: %s", file_path.name, fragment[:120])
+                failed_lines.append({"raw_line": fragment, "error": str(error)})
+    except Exception as error:
+        logger.exception("Skipping bad row in %s: %s", file_path.name, line[:120])
+        failed_lines.append({"raw_line": line, "error": str(error)})
+
+
+def transform_row(raw: dict) -> dict:
+    """Transform a raw JSONL row into a dict matching the Posts table columns."""
+    raw["date"] = parse_date(raw["date"])
+    if raw.get("langs") is not None:
+        raw["langs"] = orjson.dumps(raw["langs"])
+    if raw.get("text") is not None:
+        raw["text"] = raw["text"].replace("\x00", "")
+    return raw
+
+
+def parse_date(raw_date: int) -> datetime:
+    """Parse compact YYYYMMDDHHmm integer into a naive datetime (input is UTC by spec)."""
+    return datetime(
+        raw_date // 100000000,
+        (raw_date // 1000000) % 100,
+        (raw_date // 10000) % 100,
+        (raw_date // 100) % 100,
+        raw_date % 100,
+        tzinfo=UTC,
+    )
+
+
+if __name__ == "__main__":
+    app()

python/database_cli.py

@@ -4,10 +4,12 @@ Usage:
     database <db_name> <command> [args...]
 
 Examples:
+    database van_inventory upgrade head
+    database van_inventory downgrade head-1
+    database van_inventory revision --autogenerate -m "add meals table"
+    database van_inventory check
     database richie check
     database richie upgrade head
-    database richie downgrade head-1
-    database richie revision --autogenerate -m "add meals table"
 """
 
 from __future__ import annotations
@@ -46,7 +48,10 @@ class DatabaseConfig:
 
     def alembic_config(self) -> Config:
         """Build an alembic Config for this database."""
-        cfg = Config()
+        # Runtime import needed — Config is in TYPE_CHECKING for the return type annotation
+        from alembic.config import Config as AlembicConfig  # noqa: PLC0415
+
+        cfg = AlembicConfig()
         cfg.set_main_option("script_location", self.script_location)
         cfg.set_main_option("file_template", self.file_template)
         cfg.set_main_option("prepend_sys_path", ".")
@@ -71,6 +76,27 @@ DATABASES: dict[str, DatabaseConfig] = {
         base_class_name="RichieBase",
         models_module="python.orm.richie",
     ),
+    "van_inventory": DatabaseConfig(
+        env_prefix="VAN_INVENTORY",
+        version_location="python/alembic/van_inventory/versions",
+        base_module="python.orm.van_inventory.base",
+        base_class_name="VanInventoryBase",
+        models_module="python.orm.van_inventory.models",
+    ),
+    "signal_bot": DatabaseConfig(
+        env_prefix="SIGNALBOT",
+        version_location="python/alembic/signal_bot/versions",
+        base_module="python.orm.signal_bot.base",
+        base_class_name="SignalBotBase",
+        models_module="python.orm.signal_bot.models",
+    ),
+    "data_science_dev": DatabaseConfig(
+        env_prefix="DATA_SCIENCE_DEV",
+        version_location="python/alembic/data_science_dev/versions",
+        base_module="python.orm.data_science_dev.base",
+        base_class_name="DataScienceDevBase",
+        models_module="python.orm.data_science_dev.models",
+    ),
 }
 
 

python/ebook_search/__init__.py

@@ -0,0 +1 @@
+"""EPUB search package."""

python/ebook_search/answer.py

@@ -0,0 +1,57 @@
+"""Grounded answer generation."""
+
+from __future__ import annotations
+
+import logging
+from typing import TYPE_CHECKING
+
+from python.ebook_search.llm_interface import request_chat_completion
+
+if TYPE_CHECKING:
+    from python.ebook_search.config import EbookSearchConfig
+    from python.ebook_search.search import SearchResult
+
+logger = logging.getLogger(__name__)
+
+
+def answer_query(query: str, results: list[SearchResult], config: EbookSearchConfig) -> str:
+    """Answer a question using only retrieved chunks."""
+    if not config.answer_enabled:
+        logger.info("ebook_answer_skipped_disabled")
+        return "Answer generation is disabled. Source chunks are shown below."
+
+    if not results:
+        logger.info("ebook_answer_skipped_no_results")
+        return "No relevant sources were found."
+
+    logger.info(
+        "ebook_answer_request_start base_url=%s model=%s sources=%s query_length=%s",
+        config.vllm_base_url,
+        config.chat_model,
+        len(results),
+        len(query),
+    )
+    context = "\n\n".join(
+        f"[{index}] {result.source_title}{' - ' + result.chapter_title if result.chapter_title else ''}\n{result.text}"
+        for index, result in enumerate(results, start=1)
+    )
+    content = request_chat_completion(
+        config,
+        [
+            {
+                "role": "system",
+                "content": (
+                    "Answer only from the provided context. Cite sources with bracketed numbers like [1]. "
+                    "If the context is insufficient, say so."
+                ),
+            },
+            {"role": "user", "content": f"Question:\n{query}\n\nContext:\n{context}"},
+        ],
+    )
+
+    logger.info(
+        "ebook_answer_request_complete model=%s answer_length=%s",
+        config.chat_model,
+        len(content),
+    )
+    return content or "The model returned an empty answer."

python/ebook_search/api/__init__.py

@@ -0,0 +1 @@
+"""Web and external API adapters for EPUB search."""

python/ebook_search/api/bm25_tasks.py

@@ -0,0 +1,58 @@
+"""Background BM25 refresh tasks for the web app."""
+
+from __future__ import annotations
+
+import logging
+from threading import Timer
+from typing import TYPE_CHECKING
+
+from sqlalchemy.orm import Session
+
+from python.ebook_search.bm25_corpus import refresh_bm25_corpus
+
+if TYPE_CHECKING:
+    from fastapi import FastAPI
+    from sqlalchemy.engine import Engine
+
+    from python.ebook_search.config import EbookSearchConfig
+
+logger = logging.getLogger(__name__)
+
+
+def schedule_bm25_refresh(app: FastAPI) -> None:
+    """Schedule a delayed BM25 corpus refresh, replacing any pending refresh."""
+    existing_timer = getattr(app.state, "bm25_refresh_timer", None)
+    if existing_timer is not None:
+        existing_timer.cancel()
+
+    timer = Timer(app.state.config.bm25_refresh_delay_seconds, refresh_bm25_for_app, args=(app,))
+    timer.daemon = True
+    timer.start()
+    app.state.bm25_refresh_timer = timer
+    logger.info(
+        "ebook_bm25_refresh_scheduled delay_seconds=%s",
+        app.state.config.bm25_refresh_delay_seconds,
+    )
+
+
+def cancel_bm25_refresh(app: FastAPI) -> None:
+    """Cancel any pending BM25 corpus refresh."""
+    existing_timer = getattr(app.state, "bm25_refresh_timer", None)
+    if existing_timer is not None:
+        existing_timer.cancel()
+        app.state.bm25_refresh_timer = None
+        logger.info("ebook_bm25_refresh_cancelled")
+
+
+def refresh_bm25_for_app(app: FastAPI) -> None:
+    """Refresh the BM25 corpus using the app engine and config."""
+    try:
+        refresh_bm25_for_engine(app.state.engine, app.state.config)
+    except Exception:
+        logger.exception("ebook_bm25_refresh_failed")
+
+
+def refresh_bm25_for_engine(engine: Engine, config: EbookSearchConfig) -> None:
+    """Refresh the BM25 corpus using a SQLAlchemy engine."""
+    with Session(engine) as session:
+        refresh_bm25_corpus(session, config)

python/ebook_search/api/main.py

@@ -0,0 +1,75 @@
+"""FastAPI HTMX app for EPUB search."""
+
+from __future__ import annotations
+
+import logging
+from contextlib import asynccontextmanager
+from typing import TYPE_CHECKING, Annotated
+
+import typer
+import uvicorn
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from sqlalchemy.orm import Session
+
+from python.common import configure_logger
+from python.ebook_search.api.bm25_tasks import cancel_bm25_refresh
+from python.ebook_search.api.routes import register_admin_routes, register_page_routes, register_search_routes
+from python.ebook_search.api.web import STATIC_DIR
+from python.ebook_search.bm25_corpus import ensure_bm25_corpus
+from python.ebook_search.config import load_config
+from python.orm.common import get_postgres_engine
+
+if TYPE_CHECKING:
+    from collections.abc import AsyncIterator
+
+
+logger = logging.getLogger(__name__)
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI) -> AsyncIterator[None]:
+    """Manage application startup and shutdown resources."""
+    logger.info("ebook_search_startup")
+    app.state.engine = get_postgres_engine(name="RICHIE")
+    with Session(app.state.engine) as session:
+        ensure_bm25_corpus(session, app.state.config)
+    try:
+        yield
+    finally:
+        logger.info("ebook_search_shutdown")
+        cancel_bm25_refresh(app)
+        app.state.engine.dispose()
+
+
+def create_app() -> FastAPI:
+    """Create the EPUB search web app."""
+    app = FastAPI(title="EPUB Search", lifespan=lifespan)
+    app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
+    app.state.config = load_config()
+    logger.info(
+        "ebook_search_config_loaded top_k=%s embedding_model=%s rerank_enabled=%s answer_enabled=%s library_paths=%s",
+        app.state.config.top_k,
+        app.state.config.embedding_model,
+        app.state.config.rerank.enabled,
+        app.state.config.answer_enabled,
+        len(app.state.config.library_paths),
+    )
+    register_page_routes(app)
+    register_search_routes(app)
+    register_admin_routes(app)
+    return app
+
+
+def serve(
+    host: Annotated[str, typer.Option("--host", "-h", help="Host to bind to")] = "127.0.0.1",
+    port: Annotated[int, typer.Option("--port", "-p", help="Port to bind to")] = 8070,
+    log_level: Annotated[str, typer.Option("--log-level", "-l", help="Log level")] = "INFO",
+) -> None:
+    """Start the EPUB search server."""
+    configure_logger(log_level)
+    uvicorn.run(create_app(), host=host, port=port)
+
+
+if __name__ == "__main__":
+    typer.run(serve)

python/ebook_search/api/routes/__init__.py

@@ -0,0 +1,16 @@
+"""EPUB search web route modules."""
+
+from python.ebook_search.api.routes import admin, page, search
+
+register_admin_routes = admin.register_admin_routes
+register_page_routes = page.register_page_routes
+register_search_routes = search.register_search_routes
+
+__all__ = [
+    "admin",
+    "page",
+    "register_admin_routes",
+    "register_page_routes",
+    "register_search_routes",
+    "search",
+]

python/ebook_search/api/routes/admin.py

@@ -0,0 +1,116 @@
+"""Admin routes for the EPUB search web UI."""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import replace
+from typing import TYPE_CHECKING
+
+from fastapi import APIRouter, Request
+from fastapi.responses import HTMLResponse
+from sqlalchemy.orm import Session
+
+from python.ebook_search.api.bm25_tasks import schedule_bm25_refresh
+from python.ebook_search.api.web import templates
+from python.ebook_search.embeddings import embed_missing_chunks, embedding_model_stats
+from python.ebook_search.ingest import ingest_configured_paths
+
+if TYPE_CHECKING:
+    from fastapi import FastAPI
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/admin")
+EMBED_ALL_BATCH_SIZE = 32
+
+
+def register_admin_routes(app: FastAPI) -> None:
+    """Register admin routes on the app."""
+    app.include_router(router)
+
+
+@router.get("", response_class=HTMLResponse)
+def admin(request: Request) -> HTMLResponse:
+    """Render the admin page."""
+    with Session(request.app.state.engine) as session:
+        stats = embedding_model_stats(session)
+    logger.info("ebook_admin_page_loaded models=%s", len(stats))
+    return templates.TemplateResponse(request, "admin.html", {"config": request.app.state.config, "stats": stats})
+
+
+@router.post("/scan", response_class=HTMLResponse)
+def scan_library(request: Request) -> HTMLResponse:
+    """Scan configured library paths for EPUB changes."""
+    try:
+        with Session(request.app.state.engine) as session:
+            count = ingest_configured_paths(session, request.app.state.config)
+            session.commit()
+    except Exception as error:
+        logger.exception("ebook_admin_scan_failed")
+        return templates.TemplateResponse(request, "partials/error.html", {"message": str(error)}, status_code=500)
+
+    logger.info("ebook_admin_scan_complete changed_files=%s", count)
+    if count > 0:
+        schedule_bm25_refresh(request.app)
+    return templates.TemplateResponse(request, "partials/admin_status.html", {"message": f"Indexed {count} EPUBs"})
+
+
+@router.post("/embed-missing", response_class=HTMLResponse)
+def embed_missing(request: Request) -> HTMLResponse:
+    """Embed chunks missing vectors for the configured model."""
+    try:
+        with Session(request.app.state.engine) as session:
+            count = embed_missing_chunks(session, request.app.state.config)
+            session.commit()
+    except Exception as error:
+        logger.exception("ebook_admin_embed_missing_failed")
+        return templates.TemplateResponse(request, "partials/error.html", {"message": str(error)}, status_code=500)
+
+    logger.info("ebook_admin_embed_missing_complete chunks=%s", count)
+    return templates.TemplateResponse(
+        request,
+        "partials/admin_status.html",
+        {"message": f"Embedded {count} chunks"},
+    )
+
+
+@router.post("/embed-all", response_class=HTMLResponse)
+def embed_all(request: Request) -> HTMLResponse:
+    """Embed all chunks missing vectors in fixed-size batches."""
+    total = 0
+    batches = 0
+    config = replace(request.app.state.config, embedding_batch_size=EMBED_ALL_BATCH_SIZE)
+    try:
+        with Session(request.app.state.engine) as session:
+            while True:
+                count = embed_missing_chunks(session, config)
+                if count == 0:
+                    break
+                session.commit()
+                total += count
+                batches += 1
+                logger.info(
+                    "ebook_admin_embed_all_batch_complete batch=%s chunks=%s total_chunks=%s",
+                    batches,
+                    count,
+                    total,
+                )
+    except Exception as error:
+        logger.exception(
+            "ebook_admin_embed_all_failed batches=%s chunks=%s",
+            batches,
+            total,
+        )
+        return templates.TemplateResponse(
+            request,
+            "partials/error.html",
+            {"message": f"Embed all failed after {total} chunks in {batches} batches: {error}"},
+            status_code=500,
+        )
+
+    logger.info("ebook_admin_embed_all_complete batches=%s chunks=%s", batches, total)
+    return templates.TemplateResponse(
+        request,
+        "partials/admin_status.html",
+        {"message": f"Embedded {total} chunks in {batches} batches of {EMBED_ALL_BATCH_SIZE}"},
+    )

python/ebook_search/api/routes/page.py

@@ -0,0 +1,66 @@
+"""Page routes for the EPUB search web UI."""
+
+from __future__ import annotations
+
+import logging
+from typing import TYPE_CHECKING
+
+from fastapi import APIRouter, Request
+from fastapi.responses import HTMLResponse
+from sqlalchemy import select
+from sqlalchemy.orm import Session
+
+from python.ebook_search.api.web import templates
+from python.orm.richie import EbookSource
+
+if TYPE_CHECKING:
+    from fastapi import FastAPI
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+
+def register_page_routes(app: FastAPI) -> None:
+    """Register page routes on the app."""
+    app.include_router(router)
+
+
+@router.get("/", response_class=HTMLResponse)
+def index(request: Request) -> HTMLResponse:
+    """Render the search page."""
+    return templates.TemplateResponse(request, "search.html", {"config": request.app.state.config})
+
+
+@router.get("/books", response_class=HTMLResponse)
+def books(request: Request) -> HTMLResponse:
+    """Render the indexed books page."""
+    with Session(request.app.state.engine) as session:
+        sources = list(session.scalars(select(EbookSource).order_by(EbookSource.title)).all())
+    logger.info("ebook_books_page_loaded count=%s", len(sources))
+    return templates.TemplateResponse(request, "books.html", {"sources": sources})
+
+
+@router.get("/books/{source_id}", response_class=HTMLResponse)
+def book_detail(source_id: int, request: Request) -> HTMLResponse:
+    """Render details for one indexed book."""
+    with Session(request.app.state.engine) as session:
+        source = session.get(EbookSource, source_id)
+        if source is not None:
+            chapter_count = len(source.chapters)
+            chunk_count = len(source.chunks)
+        else:
+            chapter_count = 0
+            chunk_count = 0
+    logger.info(
+        "ebook_book_detail_loaded source_id=%s found=%s chapters=%s chunks=%s",
+        source_id,
+        source is not None,
+        chapter_count,
+        chunk_count,
+    )
+    return templates.TemplateResponse(
+        request,
+        "book_detail.html",
+        {"chapter_count": chapter_count, "chunk_count": chunk_count, "source": source},
+    )

python/ebook_search/api/routes/search.py

@@ -0,0 +1,66 @@
+"""Search routes for the EPUB search web UI."""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import replace
+from time import perf_counter
+from typing import TYPE_CHECKING, Annotated
+
+from fastapi import APIRouter, Form, Request
+from fastapi.responses import HTMLResponse
+
+from python.ebook_search.answer import answer_query
+from python.ebook_search.api.web import templates
+from python.ebook_search.search import search_ebooks
+from python.ebook_search.timing import runtime_step_from_start
+
+if TYPE_CHECKING:
+    from fastapi import FastAPI
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+
+def register_search_routes(app: FastAPI) -> None:
+    """Register search routes on the app."""
+    app.include_router(router)
+
+
+@router.post("/search", response_class=HTMLResponse)
+def search(
+    request: Request,
+    query: Annotated[str, Form()],
+    rerank: Annotated[str | None, Form()] = None,
+) -> HTMLResponse:
+    """Run a search and render HTMX results."""
+    try:
+        response = search_ebooks(request.app.state.engine, query, request.app.state.config, rerank=rerank == "true")
+    except Exception as error:
+        logger.exception("ebook_search_request_failed")
+        return templates.TemplateResponse(request, "partials/error.html", {"message": str(error)}, status_code=500)
+
+    answer_start = perf_counter()
+    if request.app.state.config.answer_enabled:
+        try:
+            answer = answer_query(query, response.results, request.app.state.config)
+        except RuntimeError as error:
+            logger.warning("ebook_answer_request_failed_falling_back error=%s", error)
+            answer = "Answer generation failed. Source chunks are still shown below."
+    else:
+        logger.info("ebook_answer_skipped_disabled")
+        answer = "Answer generation is disabled. Source chunks are shown below."
+    answer_step_name = "Answer generation" if request.app.state.config.answer_enabled else "Answer skipped"
+    response = replace(
+        response,
+        timings=(*response.timings, runtime_step_from_start(answer_step_name, answer_start)),
+    )
+
+    logger.info(
+        "ebook_search_request_complete results=%s rank_label=%s runtime_ms=%.1f",
+        len(response.results),
+        response.rank_label,
+        response.total_runtime_ms,
+    )
+    return templates.TemplateResponse(request, "partials/results.html", {"answer": answer, "response": response})

python/ebook_search/api/static/style.css

@@ -0,0 +1,140 @@
+body {
+    margin: 0;
+    background: #f7f7f4;
+    color: #202124;
+    font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
+}
+
+main {
+    max-width: 960px;
+    margin: 0 auto;
+    padding: 24px;
+}
+
+nav {
+    display: flex;
+    gap: 12px;
+    align-items: center;
+    margin-bottom: 20px;
+}
+
+nav form {
+    margin: 0;
+}
+
+.actions {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 12px;
+    margin-bottom: 24px;
+}
+
+textarea {
+    display: block;
+    width: 100%;
+    margin: 8px 0 12px;
+}
+
+button {
+    padding: 8px 14px;
+}
+
+.check {
+    display: inline-flex;
+    gap: 8px;
+    align-items: center;
+    margin-right: 12px;
+}
+
+.rank-label {
+    margin-top: 24px;
+    font-weight: 700;
+}
+
+.results {
+    padding-left: 24px;
+}
+
+.meta,
+.scores,
+.status {
+    color: #626a73;
+}
+
+.scores {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 8px;
+    margin: 12px 0;
+}
+
+.scores div {
+    display: inline-flex;
+    gap: 4px;
+    align-items: baseline;
+}
+
+.scores dt {
+    font-weight: 700;
+}
+
+.scores dd {
+    margin: 0;
+}
+
+.runtime {
+    margin-top: 16px;
+}
+
+.timing-chart {
+    display: grid;
+    gap: 8px;
+    padding: 0;
+    list-style: none;
+}
+
+.timing-chart li {
+    display: grid;
+    grid-template-columns: minmax(150px, 1fr) minmax(160px, 2fr) auto auto;
+    gap: 8px;
+    align-items: center;
+}
+
+.timing-bar {
+    height: 10px;
+    overflow: hidden;
+    background: #e5e5df;
+}
+
+.timing-bar span {
+    display: block;
+    height: 100%;
+    background: #3767c8;
+}
+
+.timing-value,
+.timing-remaining {
+    color: #626a73;
+    font-variant-numeric: tabular-nums;
+}
+
+table {
+    width: 100%;
+    border-collapse: collapse;
+}
+
+th,
+td {
+    padding: 8px;
+    border-bottom: 1px solid #d8d8d2;
+    text-align: left;
+}
+
+th {
+    font-weight: 700;
+}
+
+.error {
+    color: #9f1d20;
+    font-weight: 700;
+}

python/ebook_search/api/templates/admin.html

@@ -0,0 +1,57 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>EPUB Admin</title>
+    <script src="https://unpkg.com/htmx.org@2.0.4"></script>
+    <link rel="stylesheet" href="/static/style.css">
+</head>
+<body>
+    <main>
+        <nav>
+            <a href="/">Search</a>
+            <a href="/books">Books</a>
+            <a href="/admin">Admin</a>
+        </nav>
+        <h1>Admin</h1>
+        <section id="admin-status"></section>
+        <section class="actions">
+            <form hx-post="/admin/scan" hx-target="#admin-status" hx-swap="innerHTML">
+                <button type="submit">Scan</button>
+            </form>
+            <form hx-post="/admin/embed-missing" hx-target="#admin-status" hx-swap="innerHTML">
+                <button type="submit">Embed</button>
+            </form>
+            <form hx-post="/admin/embed-all" hx-target="#admin-status" hx-swap="innerHTML">
+                <button type="submit">Embed all</button>
+            </form>
+        </section>
+        <section>
+            <h2>Embeddings</h2>
+            <table>
+                <thead>
+                    <tr>
+                        <th>Model</th>
+                        <th>Dimensions</th>
+                        <th>Embedded</th>
+                        <th>Missing</th>
+                        <th>Total chunks</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    {% for item in stats %}
+                        <tr>
+                            <td>{{ item.model_name }}</td>
+                            <td>{{ item.dimension }}</td>
+                            <td>{{ item.embedded_chunks }}</td>
+                            <td>{{ item.missing_chunks }}</td>
+                            <td>{{ item.total_chunks }}</td>
+                        </tr>
+                    {% endfor %}
+                </tbody>
+            </table>
+        </section>
+    </main>
+</body>
+</html>

python/ebook_search/api/templates/book_detail.html

@@ -0,0 +1,32 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>{% if source %}{{ source.title }}{% else %}Book not found{% endif %}</title>
+    <link rel="stylesheet" href="/static/style.css">
+</head>
+<body>
+    <main>
+        <nav>
+            <a href="/">Search</a>
+            <a href="/books">Books</a>
+            <a href="/admin">Admin</a>
+        </nav>
+        {% if source %}
+            <h1>{{ source.title }}</h1>
+            <p class="meta">{{ source.author or "Unknown author" }}</p>
+            <dl>
+                <dt>File</dt>
+                <dd>{{ source.file_path }}</dd>
+                <dt>Chapters</dt>
+                <dd>{{ chapter_count }}</dd>
+                <dt>Chunks</dt>
+                <dd>{{ chunk_count }}</dd>
+            </dl>
+        {% else %}
+            <h1>Book not found</h1>
+        {% endif %}
+    </main>
+</body>
+</html>

python/ebook_search/api/templates/books.html

@@ -0,0 +1,31 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>EPUB Books</title>
+    <link rel="stylesheet" href="/static/style.css">
+</head>
+<body>
+    <main>
+        <nav>
+            <a href="/">Search</a>
+            <a href="/books">Books</a>
+            <a href="/admin">Admin</a>
+        </nav>
+        <h1>Books</h1>
+        {% if sources %}
+            <ol class="results">
+                {% for source in sources %}
+                    <li>
+                        <h2><a href="/books/{{ source.id }}">{{ source.title }}</a></h2>
+                        <p class="meta">{{ source.author or "Unknown author" }}</p>
+                    </li>
+                {% endfor %}
+            </ol>
+        {% else %}
+            <p>No EPUBs indexed.</p>
+        {% endif %}
+    </main>
+</body>
+</html>

python/ebook_search/api/templates/partials/admin_status.html

@@ -0,0 +1 @@
+<p class="status">{{ message }}</p>

python/ebook_search/api/templates/partials/error.html

@@ -0,0 +1 @@
+<p class="error">{{ message }}</p>

python/ebook_search/api/templates/partials/results.html

@@ -0,0 +1,74 @@
+<div class="rank-label">{{ response.rank_label }}</div>
+{% if response.timings %}
+    <section class="runtime">
+        <h2>Runtime</h2>
+        <p class="meta">Total {{ "%.1f"|format(response.total_runtime_ms) }} ms</p>
+        <ol class="timing-chart">
+            {% set total = response.total_runtime_ms %}
+            {% set ns = namespace(remaining=total) %}
+            {% for step in response.timings %}
+                {% set width = (step.duration_ms / total * 100) if total else 0 %}
+                {% if step.counts_toward_total %}
+                    {% set ns.remaining = ns.remaining - step.duration_ms %}
+                {% endif %}
+                <li>
+                    <span class="timing-label">{{ step.name }}</span>
+                    <span class="timing-bar"><span style="width: {{ "%.2f"|format(width) }}%"></span></span>
+                    <span class="timing-value">{{ "%.1f"|format(step.duration_ms) }} ms</span>
+                    <span class="timing-remaining">{{ "%.1f"|format([ns.remaining, 0]|max) }} ms left</span>
+                </li>
+            {% endfor %}
+        </ol>
+    </section>
+{% endif %}
+<section class="answer">
+    <h2>Answer</h2>
+    <p>{{ answer }}</p>
+</section>
+{% if response.results %}
+    <ol class="results">
+        {% for result in response.results %}
+            <li>
+                <h2>{{ result.source_title }}</h2>
+                <p class="meta">
+                    {% if result.source_author %}{{ result.source_author }}{% endif %}
+                    {% if result.chapter_title %} · {{ result.chapter_title }}{% endif %}
+                    {% if result.page_label %} · page {{ result.page_label }}{% endif %}
+                </p>
+                <p>{{ result.text }}</p>
+                <dl class="scores">
+                    <div>
+                        <dt>final</dt>
+                        <dd>{{ "%.3f"|format(result.score) }}</dd>
+                    </div>
+                    {% if result.rerank_score is not none %}
+                        <div>
+                            <dt>rerank</dt>
+                            <dd>{{ "%.3f"|format(result.rerank_score) }}</dd>
+                        </div>
+                    {% endif %}
+                    {% if result.vector_score is not none %}
+                        <div>
+                            <dt>vector cosine</dt>
+                            <dd>{{ "%.3f"|format(result.vector_score) }}</dd>
+                        </div>
+                    {% endif %}
+                    {% if result.bm25_score is not none %}
+                        <div>
+                            <dt>BM25</dt>
+                            <dd>{{ "%.6f"|format(result.bm25_score) }}</dd>
+                        </div>
+                    {% endif %}
+                    {% if result.fused_score is not none %}
+                        <div>
+                            <dt>RRF</dt>
+                            <dd>{{ "%.3f"|format(result.fused_score) }}</dd>
+                        </div>
+                    {% endif %}
+                </dl>
+            </li>
+        {% endfor %}
+    </ol>
+{% else %}
+    <p>No results.</p>
+{% endif %}

python/ebook_search/api/templates/search.html

@@ -0,0 +1,30 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>EPUB Search</title>
+    <script src="https://unpkg.com/htmx.org@2.0.4"></script>
+    <link rel="stylesheet" href="/static/style.css">
+</head>
+<body>
+    <main>
+        <nav>
+            <a href="/">Search</a>
+            <a href="/books">Books</a>
+            <a href="/admin">Admin</a>
+        </nav>
+        <h1>EPUB Search</h1>
+        <form hx-post="/search" hx-target="#results" hx-swap="innerHTML">
+            <label for="query">Search</label>
+            <textarea id="query" name="query" rows="4" required></textarea>
+            <label class="check">
+                <input type="checkbox" name="rerank" value="true" {% if config.rerank.enabled %}checked{% endif %}>
+                Rerank
+            </label>
+            <button type="submit">Search</button>
+        </form>
+        <section id="results"></section>
+    </main>
+</body>
+</html>

python/ebook_search/api/web.py

@@ -0,0 +1,13 @@
+"""Shared web UI resources for EPUB search."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+from fastapi.templating import Jinja2Templates
+
+PACKAGE_DIR = Path(__file__).resolve().parent
+TEMPLATE_DIR = PACKAGE_DIR / "templates"
+STATIC_DIR = PACKAGE_DIR / "static"
+
+templates = Jinja2Templates(directory=TEMPLATE_DIR)

python/ebook_search/bm25_corpus.py

@@ -0,0 +1,249 @@
+"""Persisted BM25 corpus management."""
+
+from __future__ import annotations
+
+import json
+import logging
+import shutil
+import tempfile
+from dataclasses import dataclass
+from datetime import UTC, datetime
+from functools import cache
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+import bm25s
+from sqlalchemy import func, select, union_all
+
+from python.orm.richie import EbookChapter, EbookChunk, EbookSource
+
+if TYPE_CHECKING:
+    from sqlalchemy.orm import Session
+
+    from python.ebook_search.config import EbookSearchConfig
+
+logger = logging.getLogger(__name__)
+MANIFEST_NAME = "manifest.json"
+REQUIRED_INDEX_FILES = frozenset(
+    {
+        "data.csc.index.npy",
+        "indices.csc.index.npy",
+        "indptr.csc.index.npy",
+        "params.index.json",
+        "vocab.index.json",
+        "corpus.jsonl",
+    }
+)
+
+
+@dataclass(frozen=True)
+class BM25Manifest:
+    """Metadata describing a persisted BM25 corpus."""
+
+    created_at: datetime
+    db_updated_at: datetime | None
+    chunk_count: int
+
+
+@dataclass(frozen=True)
+class BM25Corpus:
+    """Loaded persisted BM25 corpus and retriever."""
+
+    retriever: object | None
+    records: tuple[dict[str, object], ...]
+    manifest: BM25Manifest
+
+
+class BM25CorpusUnavailableError(RuntimeError):
+    """Raised when the persisted BM25 corpus cannot be loaded."""
+
+
+def bm25_index_path(config: EbookSearchConfig) -> Path:
+    """Return the configured BM25 index path relative to the current working directory."""
+    path = Path(config.bm25_index_dir).expanduser()
+    if path.is_absolute():
+        return path
+    return Path.cwd() / path
+
+
+def ensure_bm25_corpus(session: Session, config: EbookSearchConfig) -> None:
+    """Create or refresh the persisted BM25 corpus when it is missing or stale."""
+    index_path = bm25_index_path(config)
+    manifest = read_bm25_manifest(index_path)
+    db_updated_at = corpus_last_updated_at(session)
+    if not bm25_index_exists(index_path, manifest):
+        logger.info("ebook_bm25_index_missing path=%s", index_path)
+        refresh_bm25_corpus(session, config, db_updated_at=db_updated_at)
+        return
+    if db_updated_at is not None and manifest is not None and manifest.created_at < db_updated_at:
+        logger.info(
+            "ebook_bm25_index_stale path=%s created_at=%s db_updated_at=%s",
+            index_path,
+            manifest.created_at.isoformat(),
+            db_updated_at.isoformat(),
+        )
+        refresh_bm25_corpus(session, config, db_updated_at=db_updated_at)
+        return
+    logger.info(
+        "ebook_bm25_index_current path=%s chunks=%s created_at=%s",
+        index_path,
+        manifest.chunk_count if manifest else 0,
+        manifest.created_at.isoformat() if manifest else None,
+    )
+
+
+def refresh_bm25_corpus(
+    session: Session,
+    config: EbookSearchConfig,
+    *,
+    db_updated_at: datetime | None = None,
+) -> BM25Manifest:
+    """Rebuild and persist the BM25 corpus from the current database chunks."""
+    index_path = bm25_index_path(config)
+    records = fetch_bm25_corpus_records(session)
+    manifest = BM25Manifest(
+        created_at=datetime.now(tz=UTC),
+        db_updated_at=db_updated_at if db_updated_at is not None else corpus_last_updated_at(session),
+        chunk_count=len(records),
+    )
+    write_bm25_corpus(index_path, records, manifest)
+    logger.info(
+        "ebook_bm25_index_refreshed path=%s chunks=%s created_at=%s note=%s",
+        index_path,
+        manifest.chunk_count,
+        manifest.created_at.isoformat(),
+        "restart_service_to_use_refreshed_bm25_cache",
+    )
+    return manifest
+
+
+@cache
+def load_bm25_corpus(config: EbookSearchConfig) -> BM25Corpus:
+    """Load the BM25 corpus into memory once per process.
+
+    This cache intentionally does not notice later on-disk corpus refreshes. Restart the service after rebuilding the
+    BM25 corpus for searches to use the new index.
+    """
+    index_path = bm25_index_path(config)
+    logger.info(
+        "ebook_bm25_corpus_cache_load path=%s note=%s",
+        index_path,
+        "restart_service_after_bm25_refresh",
+    )
+    manifest = read_bm25_manifest(index_path)
+    if manifest is None or not bm25_index_exists(index_path, manifest):
+        msg = f"BM25 corpus is not available: {index_path}"
+        raise BM25CorpusUnavailableError(msg)
+    if manifest.chunk_count == 0:
+        return BM25Corpus(retriever=None, records=(), manifest=manifest)
+
+    retriever = bm25s.BM25.load(index_path, load_corpus=True, mmap=True)
+    records = tuple(dict(record) for record in retriever.corpus)
+    return BM25Corpus(retriever=retriever, records=records, manifest=manifest)
+
+
+def score_bm25_corpus(query: str, corpus: BM25Corpus, *, limit: int) -> list[tuple[dict[str, object], float]]:
+    """Score a query against a loaded BM25 corpus."""
+    if corpus.retriever is None or not corpus.records:
+        return []
+    k = min(limit, len(corpus.records))
+    documents, scores = corpus.retriever.retrieve(
+        bm25s.tokenize(query, show_progress=False),
+        corpus=list(corpus.records),
+        k=k,
+        show_progress=False,
+    )
+    results: list[tuple[dict[str, object], float]] = []
+    for document, score in zip(documents[0], scores[0], strict=True):
+        score_value = float(score)
+        if score_value <= 0:
+            continue
+        results.append((dict(document), score_value))
+    return results
+
+
+def fetch_bm25_corpus_records(session: Session) -> list[dict[str, object]]:
+    """Fetch BM25 corpus records from the database."""
+    statement = (
+        select(
+            EbookChunk.id.label("chunk_id"),
+            EbookChunk.text.label("text"),
+            EbookSource.title.label("source_title"),
+            EbookSource.author.label("source_author"),
+            EbookChapter.title.label("chapter_title"),
+            EbookChunk.page_label.label("page_label"),
+            func.concat_ws(
+                " ",
+                EbookSource.title,
+                EbookSource.author,
+                EbookChapter.title,
+                EbookChunk.search_text,
+            ).label("bm25_text"),
+        )
+        .select_from(EbookChunk)
+        .join(EbookSource, EbookSource.id == EbookChunk.source_id)
+        .outerjoin(EbookChapter, EbookChapter.id == EbookChunk.chapter_id)
+        .order_by(EbookChunk.id)
+    )
+    return [dict(row) for row in session.execute(statement).mappings()]
+
+
+def corpus_last_updated_at(session: Session) -> datetime | None:
+    """Return the latest source/chapter/chunk update timestamp relevant to BM25 text."""
+    update_times = union_all(
+        select(func.max(EbookSource.updated).label("updated")),
+        select(func.max(EbookChapter.updated).label("updated")),
+        select(func.max(EbookChunk.updated).label("updated")),
+    ).subquery()
+    return session.scalar(select(func.max(update_times.c.updated)))
+
+
+def write_bm25_corpus(index_path: Path, records: list[dict[str, object]], manifest: BM25Manifest) -> None:
+    """Write a BM25 corpus and manifest atomically."""
+    index_path.parent.mkdir(parents=True, exist_ok=True)
+    temp_path = Path(tempfile.mkdtemp(prefix=f"{index_path.name}.", dir=index_path.parent))
+    try:
+        if records:
+            retriever = bm25s.BM25()
+            texts = [str(record["bm25_text"]) for record in records]
+            retriever.index(bm25s.tokenize(texts, show_progress=False), show_progress=False)
+            retriever.save(temp_path, corpus=records, show_progress=False)
+        write_bm25_manifest(temp_path, manifest)
+        if index_path.exists():
+            shutil.rmtree(index_path)
+        temp_path.rename(index_path)
+    except Exception:
+        shutil.rmtree(temp_path, ignore_errors=True)
+        raise
+
+
+def read_bm25_manifest(index_path: Path) -> BM25Manifest | None:
+    """Read the BM25 manifest if it exists and is valid."""
+    manifest_path = index_path / MANIFEST_NAME
+    if not manifest_path.exists():
+        return None
+    body = json.loads(manifest_path.read_text(encoding="utf-8"))
+    return BM25Manifest(
+        created_at=datetime.fromisoformat(str(body["created_at"])),
+        db_updated_at=datetime.fromisoformat(str(body["db_updated_at"])) if body.get("db_updated_at") else None,
+        chunk_count=int(body["chunk_count"]),
+    )
+
+
+def write_bm25_manifest(index_path: Path, manifest: BM25Manifest) -> None:
+    """Write the BM25 manifest to an index directory."""
+    body = {
+        "created_at": manifest.created_at.isoformat(),
+        "db_updated_at": manifest.db_updated_at.isoformat() if manifest.db_updated_at else None,
+        "chunk_count": manifest.chunk_count,
+    }
+    (index_path / MANIFEST_NAME).write_text(json.dumps(body, indent=2, sort_keys=True), encoding="utf-8")
+
+
+def bm25_index_exists(index_path: Path, manifest: BM25Manifest | None) -> bool:
+    """Return whether a usable persisted BM25 index exists."""
+    if manifest is None or not index_path.is_dir():
+        return False
+    if manifest.chunk_count == 0:
+        return True
+    return all((index_path / file_name).exists() for file_name in REQUIRED_INDEX_FILES)

python/ebook_search/config.py

@@ -0,0 +1,117 @@
+"""Configuration for the EPUB search app."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from os import getenv
+
+
+def getenv_bool(name: str, *, default: bool) -> bool:
+    """Read a boolean environment variable with a default fallback."""
+    value = getenv(name)
+    if value is None:
+        return default
+    return value.strip().lower() in {"1", "true", "yes", "on"}
+
+
+def getenv_int(name: str, *, default: int) -> int:
+    """Read an integer environment variable with a default fallback."""
+    value = getenv(name)
+    if value is None or not value.strip():
+        return default
+    return int(value)
+
+
+@dataclass(frozen=True)
+class RerankConfig:
+    """vLLM reranker settings."""
+
+    enabled: bool = False
+    base_url: str = "http://192.168.90.25:8001"
+    model: str = "qwen3-reranker-06b"
+    candidates: int = 24
+    timeout_seconds: float = 30.0
+
+
+@dataclass(frozen=True)
+class EbookSearchConfig:
+    """Runtime settings for EPUB search."""
+
+    rerank: RerankConfig
+    top_k: int = 12
+    library_paths: tuple[str, ...] = ()
+    vllm_base_url: str = "https://ollama.com/v1"
+    vllm_api_key: str = "not-needed"
+    chat_model: str = "deepseek-v4-flash"
+    answer_enabled: bool = True
+    embedding_base_url: str = "http://192.168.90.25:8000/v1"
+    embedding_api_key: str = "not-needed"
+    embedding_model: str = "qwen3-embedding-0.6b"
+    embedding_batch_size: int = 32
+    bm25_index_dir: str = ".ebook_search_bm25"
+    bm25_refresh_delay_seconds: int = 60
+
+
+def load_rerank_config() -> RerankConfig:
+    """Load reranker config from environment variables."""
+    return RerankConfig(
+        enabled=getenv_bool("EBOOK_SEARCH_RERANK_ENABLED", default=False),
+        base_url=getenv("EBOOK_SEARCH_RERANK_BASE_URL", "http://192.168.90.25:8001"),
+        model=getenv("EBOOK_SEARCH_RERANK_MODEL", "qwen3-reranker-06b"),
+        candidates=getenv_int("EBOOK_SEARCH_RERANK_CANDIDATES", default=24),
+        timeout_seconds=float(getenv_int("EBOOK_SEARCH_RERANK_TIMEOUT_SECONDS", default=30)),
+    )
+
+
+def load_config() -> EbookSearchConfig:
+    """Load EPUB search config from environment variables."""
+    return EbookSearchConfig(
+        rerank=load_rerank_config(),
+        top_k=getenv_int("EBOOK_SEARCH_TOP_K", default=12),
+        library_paths=library_paths_from_env(),
+        vllm_base_url=getenv("EBOOK_SEARCH_VLLM_BASE_URL", "https://ollama.com/v1"),
+        vllm_api_key=getenv("EBOOK_SEARCH_VLLM_API_KEY") or getenv("OLLAMA_API_KEY") or "not-needed",
+        chat_model=getenv("EBOOK_SEARCH_CHAT_MODEL", "deepseek-v4-flash"),
+        answer_enabled=getenv_bool("EBOOK_SEARCH_ANSWER_ENABLED", default=True),
+        embedding_base_url=getenv("EBOOK_SEARCH_EMBEDDING_BASE_URL", "http://192.168.90.25:8000/v1"),
+        embedding_api_key=getenv("EBOOK_SEARCH_EMBEDDING_API_KEY", "not-needed"),
+        embedding_model=normalize_embedding_model(),
+        embedding_batch_size=getenv_int("EBOOK_SEARCH_EMBEDDING_BATCH_SIZE", default=32),
+        bm25_index_dir=getenv("EBOOK_SEARCH_BM25_INDEX_DIR", ".ebook_search_bm25"),
+        bm25_refresh_delay_seconds=getenv_int("EBOOK_SEARCH_BM25_REFRESH_DELAY_SECONDS", default=60),
+    )
+
+
+def normalize_embedding_model(default: str = "qwen3-embedding-0.6b") -> str:
+    """Normalize supported embedding aliases to provider model names."""
+    aliases = {
+        "Qwen3-Embedding-0.6B": "qwen3-embedding-0.6b",
+        "Qwen3-Embedding-4B": "qwen3-embedding-4b",
+        "Qwen3-Embedding-8B": "qwen3-embedding-8b",
+        "Qwen/Qwen3-Embedding-0.6B": "qwen3-embedding-0.6b",
+        "Qwen/Qwen3-Embedding-4B": "qwen3-embedding-4b",
+        "Qwen/Qwen3-Embedding-8B": "qwen3-embedding-8b",
+        "qwen3-embedding:0.6b": "qwen3-embedding-0.6b",
+        "qwen3-embedding:4b": "qwen3-embedding-4b",
+        "qwen3-embedding:8b": "qwen3-embedding-8b",
+        "qwen3-embedding-0.6b": "qwen3-embedding-0.6b",
+        "qwen3-embedding-4b": "qwen3-embedding-4b",
+        "qwen3-embedding-8b": "qwen3-embedding-8b",
+    }
+
+    model = getenv("EBOOK_SEARCH_EMBEDDING_MODEL", default)
+    standard_model = aliases.get(model)
+
+    if standard_model is None:
+        error = f"Embedding model {model} is not supported. Supported models are {aliases.keys()}"
+        raise ValueError(error)
+
+    return standard_model
+
+
+def library_paths_from_env() -> tuple[str, ...]:
+    """Read configured EPUB library paths from the environment."""
+    value = getenv("EBOOK_SEARCH_LIBRARY_PATHS")
+    if value is None:
+        return ()
+    return tuple(path for path in value.split(":") if path)

python/ebook_search/embeddings.py

@@ -0,0 +1,170 @@
+"""Embedding model helpers."""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass
+from typing import TYPE_CHECKING
+
+from sqlalchemy import func, select
+from sqlalchemy.dialects.postgresql import insert
+
+from python.ebook_search.llm_interface import request_embeddings
+from python.orm.richie import (
+    EbookChunk,
+    EbookChunkEmbedding1024,
+    EbookChunkEmbedding2560,
+    EbookChunkEmbedding4096,
+    EbookEmbeddingModel,
+)
+
+logger = logging.getLogger(__name__)
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from sqlalchemy.orm import Session
+
+    from python.ebook_search.config import EbookSearchConfig
+
+MODEL_DIMENSIONS = {
+    "qwen3-embedding-0.6b": 1024,
+    "qwen3-embedding-4b": 2560,
+    "qwen3-embedding-8b": 4096,
+}
+
+
+def get_embedding_table(
+    dimension: int,
+) -> type[EbookChunkEmbedding1024 | EbookChunkEmbedding2560 | EbookChunkEmbedding4096]:
+    """Return the embedding table mapped to an embedding dimension."""
+    embedding_tables = {
+        1024: EbookChunkEmbedding1024,
+        2560: EbookChunkEmbedding2560,
+        4096: EbookChunkEmbedding4096,
+    }
+    table = embedding_tables.get(dimension)
+    if not table:
+        msg = f"Embedding dimension {dimension} is not supported"
+        raise ValueError(msg)
+    return table
+
+
+@dataclass(frozen=True)
+class EmbeddingModelStats:
+    """Embedding coverage for one model."""
+
+    model_name: str
+    dimension: int
+    embedded_chunks: int
+    total_chunks: int
+
+    @property
+    def missing_chunks(self) -> int:
+        """Return chunks missing this embedding model."""
+        return max(self.total_chunks - self.embedded_chunks, 0)
+
+
+def embed_texts(texts: Sequence[str], config: EbookSearchConfig) -> list[list[float]]:
+    """Embed text with the configured vLLM embedding model."""
+    logger.info(
+        "ebook_embed_request_start base_url=%s model=%s count=%s",
+        config.embedding_base_url,
+        config.embedding_model,
+        len(texts),
+    )
+    vectors = request_embeddings(texts, config)
+    expected_dimension = MODEL_DIMENSIONS[config.embedding_model]
+    for vector in vectors:
+        if len(vector) != expected_dimension:
+            msg = f"Expected {expected_dimension} dimensions, got {len(vector)}"
+            raise ValueError(msg)
+    logger.info(
+        "ebook_embed_request_complete model=%s count=%s dimension=%s",
+        config.embedding_model,
+        len(vectors),
+        expected_dimension,
+    )
+    return vectors
+
+
+def embed_query(query: str, config: EbookSearchConfig) -> list[float]:
+    """Embed a search query with the Qwen retrieval instruction."""
+    instructed_query = f"Instruct: Retrieve relevant passages for the query.\nQuery: {query}"
+    return embed_texts([instructed_query], config)[0]
+
+
+def ensure_embedding_models(session: Session) -> None:
+    """Ensure supported embedding model rows exist."""
+    for name, dimension in MODEL_DIMENSIONS.items():
+        existing = session.scalar(select(EbookEmbeddingModel).where(EbookEmbeddingModel.name == name))
+        if existing is None:
+            session.add(EbookEmbeddingModel(name=name, dimension=dimension, is_default=name == "qwen3-embedding-0.6b"))
+            logger.info("ebook_embedding_model_created model=%s dimension=%s", name, dimension)
+    session.flush()
+
+
+def embedding_model_stats(session: Session) -> list[EmbeddingModelStats]:
+    """Return embedding coverage counts for every supported model."""
+    total_chunks = session.scalar(select(func.count(EbookChunk.id))) or 0
+    models = {
+        model.name: model
+        for model in session.scalars(
+            select(EbookEmbeddingModel)
+            .where(EbookEmbeddingModel.name.in_(MODEL_DIMENSIONS))
+            .order_by(EbookEmbeddingModel.name)
+        )
+    }
+
+    stats: list[EmbeddingModelStats] = []
+    for model_name, dimension in MODEL_DIMENSIONS.items():
+        model = models.get(model_name)
+        embedded_chunks = 0
+        if model is not None:
+            table = get_embedding_table(dimension)
+            embedded_chunks = session.scalar(select(func.count(table.id)).where(table.model_id == model.id)) or 0
+        stats.append(
+            EmbeddingModelStats(
+                model_name=model_name,
+                dimension=dimension,
+                embedded_chunks=embedded_chunks,
+                total_chunks=total_chunks,
+            )
+        )
+    return stats
+
+
+def embed_missing_chunks(session: Session, config: EbookSearchConfig) -> int:
+    """Embed chunks missing embeddings for the configured model."""
+    ensure_embedding_models(session)
+    model = session.scalar(select(EbookEmbeddingModel).where(EbookEmbeddingModel.name == config.embedding_model))
+    if model is None:
+        supported_models = ", ".join(MODEL_DIMENSIONS)
+        msg = f"Unknown embedding model: {config.embedding_model}. Supported models: {supported_models}"
+        raise ValueError(msg)
+
+    table = get_embedding_table(model.dimension)
+    chunks = list(
+        session.scalars(
+            select(EbookChunk)
+            .outerjoin(table, (table.chunk_id == EbookChunk.id) & (table.model_id == model.id))
+            .where(table.id.is_(None))
+            .order_by(EbookChunk.id)
+            .limit(config.embedding_batch_size)
+        )
+    )
+    if not chunks:
+        logger.info("ebook_embed_missing_none model=%s", config.embedding_model)
+        return 0
+
+    logger.info("ebook_embed_missing_batch_start model=%s count=%s", config.embedding_model, len(chunks))
+    vectors = embed_texts([chunk.text for chunk in chunks], config)
+    rows = [
+        {"chunk_id": chunk.id, "model_id": model.id, "embedding": vector}
+        for chunk, vector in zip(chunks, vectors, strict=True)
+    ]
+    statement = insert(table).values(rows).on_conflict_do_nothing(index_elements=["chunk_id", "model_id"])
+    session.execute(statement)
+    session.flush()
+    logger.info("ebook_embed_missing_batch_complete model=%s count=%s", config.embedding_model, len(rows))
+    return len(rows)

python/ebook_search/epub_parse.py

@@ -0,0 +1,95 @@
+"""EPUB parsing helpers."""
+
+from __future__ import annotations
+
+import re
+from dataclasses import dataclass
+from typing import TYPE_CHECKING
+
+from bs4 import BeautifulSoup
+from ebooklib import ITEM_DOCUMENT, epub
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+WHITESPACE_RE = re.compile(r"\s+")
+
+
+@dataclass(frozen=True)
+class ParsedChapter:
+    """Text extracted from one EPUB spine document."""
+
+    title: str | None
+    href: str | None
+    text: str
+    page_labels: tuple[str, ...]
+
+
+@dataclass(frozen=True)
+class ParsedEpub:
+    """Parsed EPUB metadata and text."""
+
+    title: str
+    author: str | None
+    language: str | None
+    publisher: str | None
+    identifier: str | None
+    chapters: tuple[ParsedChapter, ...]
+
+
+def parse_epub(path: Path) -> ParsedEpub:
+    """Parse EPUB metadata and spine text."""
+    book = epub.read_epub(path)
+    chapters = []
+    for item in book.get_items_of_type(ITEM_DOCUMENT):
+        soup = BeautifulSoup(item.get_content(), "html.parser")
+        title = chapter_title(soup)
+        page_labels = tuple(extract_page_labels(soup))
+        text = clean_text(soup.get_text(" "))
+        if text:
+            chapters.append(ParsedChapter(title=title, href=item.get_name(), text=text, page_labels=page_labels))
+
+    return ParsedEpub(
+        title=metadata_value(book, "title") or path.stem,
+        author=metadata_value(book, "creator"),
+        language=metadata_value(book, "language"),
+        publisher=metadata_value(book, "publisher"),
+        identifier=metadata_value(book, "identifier"),
+        chapters=tuple(chapters),
+    )
+
+
+def metadata_value(book: epub.EpubBook, name: str) -> str | None:
+    """Return the first non-empty Dublin Core metadata value for a name."""
+    values = book.get_metadata("DC", name)
+    if not values:
+        return None
+    value = values[0][0]
+    return str(value).strip() or None
+
+
+def chapter_title(soup: BeautifulSoup) -> str | None:
+    """Extract the best available title from an EPUB document soup."""
+    heading = soup.find(["h1", "h2", "h3"])
+    if heading is None:
+        title = soup.find("title")
+        if title is None:
+            return None
+        return clean_text(title.get_text(" ")) or None
+    return clean_text(heading.get_text(" ")) or None
+
+
+def extract_page_labels(soup: BeautifulSoup) -> list[str]:
+    """Extract EPUB page-break labels from a document soup."""
+    labels: list[str] = []
+    for tag in soup.find_all(attrs={"epub:type": "pagebreak"}):
+        label = tag.get("title") or tag.get("aria-label") or tag.get_text(" ")
+        clean = clean_text(str(label))
+        if clean:
+            labels.append(clean)
+    return labels
+
+
+def clean_text(text: str) -> str:
+    """Normalize whitespace in extracted EPUB text."""
+    return WHITESPACE_RE.sub(" ", text).strip()

python/ebook_search/ingest.py

@@ -0,0 +1,190 @@
+"""EPUB ingestion into Richie DB."""
+
+from __future__ import annotations
+
+import hashlib
+import logging
+from dataclasses import dataclass
+from datetime import UTC, datetime
+from pathlib import Path
+from typing import TYPE_CHECKING
+
+import tiktoken
+from sqlalchemy import or_, select
+
+from python.ebook_search.epub_parse import parse_epub
+from python.orm.richie import EbookChapter, EbookChunk, EbookSource
+
+logger = logging.getLogger(__name__)
+DEFAULT_CHUNK_TOKENS = 700
+DEFAULT_CHUNK_OVERLAP = 100
+
+if TYPE_CHECKING:
+    from sqlalchemy.orm import Session
+
+    from python.ebook_search.config import EbookSearchConfig
+    from python.ebook_search.epub_parse import ParsedChapter
+
+
+@dataclass(frozen=True)
+class TextChunk:
+    """A token-bounded chunk of text."""
+
+    text: str
+    token_start: int
+    token_count: int
+
+
+def chunk_text(
+    text: str,
+    *,
+    chunk_tokens: int = DEFAULT_CHUNK_TOKENS,
+    overlap_tokens: int = DEFAULT_CHUNK_OVERLAP,
+) -> list[TextChunk]:
+    """Split text into overlapping token chunks."""
+    if chunk_tokens <= 0:
+        msg = "chunk_tokens must be positive"
+        raise ValueError(msg)
+    if overlap_tokens < 0 or overlap_tokens >= chunk_tokens:
+        msg = "overlap_tokens must be non-negative and smaller than chunk_tokens"
+        raise ValueError(msg)
+
+    encoding = tiktoken.get_encoding("cl100k_base")
+    tokens = encoding.encode(text)
+    if not tokens:
+        return []
+
+    chunks: list[TextChunk] = []
+    step = chunk_tokens - overlap_tokens
+    for start in range(0, len(tokens), step):
+        chunk = tokens[start : start + chunk_tokens]
+        if not chunk:
+            continue
+        chunks.append(
+            TextChunk(
+                text=encoding.decode(chunk).strip(),
+                token_start=start,
+                token_count=len(chunk),
+            )
+        )
+        if start + chunk_tokens >= len(tokens):
+            break
+    return [chunk for chunk in chunks if chunk.text]
+
+
+def ingest_configured_paths(session: Session, config: EbookSearchConfig) -> int:
+    """Ingest every EPUB found under configured library paths."""
+    count = 0
+    for library_path in config.library_paths:
+        path = Path(library_path).expanduser()
+        logger.info("ebook_ingest_path_start path=%s", path)
+        if path.is_file() and path.suffix.lower() == ".epub":
+            count += int(ingest_file(session, path))
+        elif path.is_dir():
+            for epub_path in sorted(path.rglob("*.epub")):
+                count += int(ingest_file(session, epub_path))
+        else:
+            logger.warning("ebook_ingest_path_missing path=%s", path)
+    logger.info("ebook_ingest_paths_complete changed_files=%s configured_paths=%s", count, len(config.library_paths))
+    return count
+
+
+def ingest_file(session: Session, path: Path) -> bool:
+    """Ingest one EPUB file. Return True when the database changed."""
+    resolved_path = path.expanduser().resolve()
+    logger.info("ebook_ingest_file_start path=%s", resolved_path)
+    file_hash = sha256_file(resolved_path)
+    existing = find_existing_source(session, resolved_path, file_hash)
+    if existing is not None and existing.file_sha256 == file_hash:
+        stat = resolved_path.stat()
+        existing.file_path = str(resolved_path)
+        existing.file_mtime = datetime.fromtimestamp(stat.st_mtime, tz=UTC)
+        existing.file_size = stat.st_size
+        session.flush()
+        logger.info("ebook_ingest_file_unchanged source_id=%s path=%s", existing.id, resolved_path)
+        return False
+    if existing is not None:
+        logger.info("ebook_ingest_file_replacing source_id=%s path=%s", existing.id, resolved_path)
+        session.delete(existing)
+        session.flush()
+
+    stat = resolved_path.stat()
+    parsed = parse_epub(resolved_path)
+    source = EbookSource(
+        title=parsed.title,
+        author=parsed.author,
+        language=parsed.language,
+        publisher=parsed.publisher,
+        identifier=parsed.identifier,
+        file_path=str(resolved_path),
+        file_sha256=file_hash,
+        file_mtime=datetime.fromtimestamp(stat.st_mtime, tz=UTC),
+        file_size=stat.st_size,
+    )
+    session.add(source)
+    session.flush()
+
+    chunk_index = 0
+    for spine_index, parsed_chapter in enumerate(parsed.chapters):
+        chapter = EbookChapter(
+            source_id=source.id,
+            spine_index=spine_index,
+            title=parsed_chapter.title,
+            href=parsed_chapter.href,
+        )
+        session.add(chapter)
+        session.flush()
+        chunk_index = add_chapter_chunks(session, source, chapter, parsed_chapter, chunk_index)
+
+    session.flush()
+    logger.info(
+        "ebook_ingest_file_complete source_id=%s path=%s chapters=%s chunks=%s",
+        source.id,
+        resolved_path,
+        len(parsed.chapters),
+        chunk_index,
+    )
+    return True
+
+
+def find_existing_source(session: Session, path: Path, file_hash: str) -> EbookSource | None:
+    """Find an existing source by canonical path or file hash."""
+    return session.scalar(
+        select(EbookSource).where(or_(EbookSource.file_path == str(path), EbookSource.file_sha256 == file_hash))
+    )
+
+
+def add_chapter_chunks(
+    session: Session,
+    source: EbookSource,
+    chapter: EbookChapter,
+    parsed_chapter: ParsedChapter,
+    chunk_index: int,
+) -> int:
+    """Add chunk rows for one parsed chapter and return the next chunk index."""
+    page_label = parsed_chapter.page_labels[0] if parsed_chapter.page_labels else None
+    for text_chunk in chunk_text(parsed_chapter.text):
+        session.add(
+            EbookChunk(
+                source_id=source.id,
+                chapter_id=chapter.id,
+                chunk_index=chunk_index,
+                text=text_chunk.text,
+                token_start=text_chunk.token_start,
+                token_count=text_chunk.token_count,
+                page_label=page_label,
+                content_sha256=hashlib.sha256(text_chunk.text.encode()).hexdigest(),
+                search_text=f"{source.title} {source.author or ''} {chapter.title or ''} {text_chunk.text}",
+            )
+        )
+        chunk_index += 1
+    return chunk_index
+
+
+def sha256_file(path: Path) -> str:
+    """Calculate the SHA-256 digest for a file."""
+    digest = hashlib.sha256()
+    with path.open("rb") as file:
+        for block in iter(lambda: file.read(1024 * 1024), b""):
+            digest.update(block)
+    return digest.hexdigest()

python/ebook_search/llm_interface.py

@@ -0,0 +1,143 @@
+"""LLM provider HTTP adapters."""
+
+from __future__ import annotations
+
+import logging
+from typing import TYPE_CHECKING
+
+import httpx
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from python.ebook_search.config import EbookSearchConfig, RerankConfig
+
+logger = logging.getLogger(__name__)
+
+
+def auth_headers(api_key: str) -> dict[str, str]:
+    """Build authorization headers when an API key is configured."""
+    if api_key == "not-needed":
+        return {}
+    return {"Authorization": f"Bearer {api_key}"}
+
+
+def request_embeddings(texts: Sequence[str], config: EbookSearchConfig) -> list[list[float]]:
+    """Request embeddings from the configured OpenAI-compatible endpoint."""
+    try:
+        response = httpx.post(
+            f"{config.embedding_base_url.rstrip('/')}/embeddings",
+            headers=auth_headers(config.embedding_api_key),
+            json={"model": config.embedding_model, "input": list(texts)},
+            timeout=60,
+        )
+        response.raise_for_status()
+        return embedding_vectors_from_response(response.json())
+    except (httpx.HTTPError, ValueError, KeyError, TypeError) as error:
+        logger.exception(
+            "ebook_embed_request_failed base_url=%s model=%s count=%s",
+            config.embedding_base_url,
+            config.embedding_model,
+            len(texts),
+        )
+        msg = f"Embedding request failed. base_url={config.embedding_base_url} model={config.embedding_model}"
+        raise RuntimeError(msg) from error
+
+
+def embedding_vectors_from_response(body: object) -> list[list[float]]:
+    """Extract embedding vectors from an OpenAI-compatible embedding response."""
+    if not isinstance(body, dict):
+        msg = "Embedding response is not an object"
+        raise TypeError(msg)
+
+    data = body["data"]
+    if not isinstance(data, list):
+        msg = "Embedding response data is not a list"
+        raise TypeError(msg)
+
+    vectors: list[list[float]] = []
+    for item in data:
+        if not isinstance(item, dict):
+            msg = "Embedding item is not an object"
+            raise TypeError(msg)
+        embedding = item["embedding"]
+        if not isinstance(embedding, list):
+            msg = "Embedding value is not a list"
+            raise TypeError(msg)
+        vectors.append([float(value) for value in embedding])
+    return vectors
+
+
+def request_rerank(
+    query: str,
+    documents: Sequence[str],
+    config: RerankConfig,
+) -> object | None:
+    """Request rerank scores from the configured vLLM endpoint."""
+    payload = {
+        "model": config.model,
+        "query": query,
+        "documents": list(documents),
+    }
+    response = httpx.post(
+        f"{config.base_url.rstrip('/')}/rerank",
+        json=payload,
+        timeout=config.timeout_seconds,
+    )
+    response.raise_for_status()
+    try:
+        return response.json()
+    except ValueError:
+        logger.debug("ebook_rerank_response_invalid_json", extra={"response": response.text})
+        return None
+
+
+def request_chat_completion(
+    config: EbookSearchConfig,
+    messages: Sequence[dict[str, str]],
+) -> str:
+    """Request a chat completion from the configured OpenAI-compatible endpoint."""
+    try:
+        response = httpx.post(
+            f"{config.vllm_base_url.rstrip('/')}/chat/completions",
+            headers=auth_headers(config.vllm_api_key),
+            json={
+                "model": config.chat_model,
+                "messages": list(messages),
+                "temperature": 0,
+            },
+            timeout=60,
+        )
+        response.raise_for_status()
+        return chat_content_from_response(response.json())
+    except (httpx.HTTPError, ValueError, KeyError, TypeError) as error:
+        msg = f"Chat request failed. base_url={config.vllm_base_url} model={config.chat_model}"
+        raise RuntimeError(msg) from error
+
+
+def chat_content_from_response(body: object) -> str:
+    """Extract text content from an OpenAI-compatible chat response."""
+    if not isinstance(body, dict):
+        msg = "Chat response is not an object"
+        raise TypeError(msg)
+
+    choices = body["choices"]
+    if not isinstance(choices, list) or not choices:
+        msg = "Chat response has no choices"
+        raise ValueError(msg)
+
+    first = choices[0]
+    if not isinstance(first, dict):
+        msg = "Chat choice is not an object"
+        raise TypeError(msg)
+
+    message = first["message"]
+    if not isinstance(message, dict):
+        msg = "Chat message is not an object"
+        raise TypeError(msg)
+
+    content = message.get("content") or ""
+    if not isinstance(content, str):
+        msg = "Chat content is not text"
+        raise TypeError(msg)
+    return content

python/ebook_search/rerank.py

@@ -0,0 +1,127 @@
+"""vLLM-backed optional reranking."""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass, replace
+from typing import TYPE_CHECKING
+
+from python.ebook_search.llm_interface import request_rerank
+
+if TYPE_CHECKING:
+    from python.ebook_search.config import RerankConfig
+    from python.ebook_search.search import SearchResult
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass(frozen=True)
+class RerankResult:
+    """A relevance score for one candidate chunk."""
+
+    chunk_id: int
+    score: float
+
+
+def rerank_chunks(query: str, candidates: list[SearchResult], config: RerankConfig) -> list[SearchResult]:
+    """Rerank candidates with a vLLM rerank endpoint."""
+    if not candidates:
+        return []
+
+    logger.info(
+        "ebook_rerank_request_start base_url=%s model=%s candidates=%s",
+        config.base_url,
+        config.model,
+        len(candidates),
+    )
+    scores = score_candidates(query, candidates, config)
+    results = sorted(
+        (
+            replace(
+                result,
+                score=final_rerank_score(result, scores[result.chunk_id].score, candidates),
+                rerank_score=scores[result.chunk_id].score,
+            )
+            for result in candidates
+        ),
+        key=lambda result: result.score,
+        reverse=True,
+    )
+    logger.info(
+        "ebook_rerank_request_complete base_url=%s model=%s candidates=%s",
+        config.base_url,
+        config.model,
+        len(results),
+    )
+    return results
+
+
+def score_candidates(
+    query: str,
+    candidates: list[SearchResult],
+    config: RerankConfig,
+) -> dict[int, RerankResult]:
+    """Score candidate chunks with the configured rerank API."""
+    body = request_rerank(query, [candidate.text for candidate in candidates], config)
+    if body is None:
+        return zero_rerank_scores(candidates)
+
+    scores = parse_vllm_scores(body, candidates)
+    for result in scores.values():
+        logger.debug("ebook_rerank_candidate_scored chunk_id=%s score=%s", result.chunk_id, result.score)
+    return scores
+
+
+def parse_vllm_scores(body: object, candidates: list[SearchResult]) -> dict[int, RerankResult]:
+    """Parse vLLM rerank scores into chunk-id keyed results."""
+    if not isinstance(body, dict):
+        logger.debug("ebook_rerank_response_not_object", extra={"response": body})
+        return zero_rerank_scores(candidates)
+
+    results = body.get("results") or body.get("data")
+    if not isinstance(results, list):
+        logger.debug("ebook_rerank_response_missing_results", extra={"response": body})
+        return zero_rerank_scores(candidates)
+
+    scores = zero_rerank_scores(candidates)
+    for item in results:
+        if not isinstance(item, dict):
+            continue
+        index = item.get("index")
+        score = item.get("relevance_score", item.get("score"))
+        if not isinstance(index, int) or index < 0 or index >= len(candidates):
+            continue
+        if not isinstance(score, int | float):
+            continue
+        chunk_id = candidates[index].chunk_id
+        scores[chunk_id] = RerankResult(chunk_id=chunk_id, score=clamp_score(float(score)))
+    return scores
+
+
+def zero_rerank_scores(candidates: list[SearchResult]) -> dict[int, RerankResult]:
+    """Return zero relevance scores for all candidate chunks."""
+    return {candidate.chunk_id: RerankResult(chunk_id=candidate.chunk_id, score=0.0) for candidate in candidates}
+
+
+def clamp_score(score: float) -> float:
+    """Clamp a rerank score into the supported 0.0 to 1.0 range."""
+    return min(max(score, 0.0), 1.0)
+
+
+def final_rerank_score(result: SearchResult, rerank_score: float, candidates: list[SearchResult]) -> float:
+    """Combine rerank relevance with normalized hybrid retrieval evidence."""
+    return rerank_score * normalized_hybrid_score(result, candidates)
+
+
+def normalized_hybrid_score(result: SearchResult, candidates: list[SearchResult]) -> float:
+    """Normalize a candidate hybrid score against the rerank candidate set."""
+    hybrid_scores = [
+        candidate.fused_score if candidate.fused_score is not None else candidate.score for candidate in candidates
+    ]
+    low = min(hybrid_scores)
+    high = max(hybrid_scores)
+    if high == low:
+        return 1.0
+
+    score = result.fused_score if result.fused_score is not None else result.score
+    return (score - low) / (high - low)

python/ebook_search/search.py

@@ -0,0 +1,371 @@
+"""Hybrid search orchestration."""
+
+from __future__ import annotations
+
+import logging
+import re
+from concurrent.futures import ThreadPoolExecutor
+from dataclasses import dataclass, replace
+from typing import TYPE_CHECKING
+
+from pgvector.sqlalchemy import Vector
+from sqlalchemy import literal, select
+from sqlalchemy.orm import Session
+
+from python.ebook_search.bm25_corpus import (
+    load_bm25_corpus,
+    score_bm25_corpus,
+)
+from python.ebook_search.embeddings import MODEL_DIMENSIONS, embed_query, get_embedding_table
+from python.ebook_search.rerank import rerank_chunks
+from python.ebook_search.timing import RuntimeStep, timed_result
+from python.orm.richie import (
+    EbookChapter,
+    EbookChunk,
+    EbookEmbeddingModel,
+    EbookSource,
+)
+
+if TYPE_CHECKING:
+    from collections.abc import Mapping
+
+    from sqlalchemy.engine import Engine
+
+    from python.ebook_search.config import EbookSearchConfig
+
+logger = logging.getLogger(__name__)
+BM25_CANDIDATE_LIMIT = 120
+
+
+@dataclass(frozen=True)
+class SearchResult:
+    """One source chunk returned by search."""
+
+    chunk_id: int
+    text: str
+    source_title: str
+    score: float = 0.0
+    vector_score: float | None = None
+    bm25_score: float | None = None
+    fused_score: float | None = None
+    rerank_score: float | None = None
+    source_author: str | None = None
+    chapter_title: str | None = None
+    page_label: str | None = None
+    rank_source: str = "Hybrid"
+
+
+@dataclass(frozen=True)
+class SearchResponse:
+    """Search output for the UI."""
+
+    query: str
+    results: list[SearchResult]
+    rank_label: str
+    timings: tuple[RuntimeStep, ...] = ()
+
+    @property
+    def total_runtime_ms(self) -> float:
+        """Return total measured runtime for the response."""
+        return sum(step.duration_ms for step in self.timings if step.counts_toward_total)
+
+
+@dataclass(frozen=True)
+class RetrievalResponse:
+    """Parallel retrieval output for vector and BM25 candidates."""
+
+    vector_results: list[SearchResult]
+    lexical_results: list[SearchResult]
+    timings: tuple[RuntimeStep, ...]
+
+
+def search_ebooks(
+    engine: Engine,
+    query: str,
+    config: EbookSearchConfig,
+    *,
+    rerank: bool = False,
+) -> SearchResponse:
+    """Run hybrid vector/BM25 search and optional reranking."""
+    if not query.strip():
+        logger.info("ebook_search_empty_query")
+        return SearchResponse(query=query, results=[], rank_label="Hybrid")
+
+    logger.info("ebook_search_start query_length=%s rerank=%s", len(query), rerank)
+    timings: list[RuntimeStep] = []
+    retrieval_query, timing = timed_result("Query preparation", retrieval_query_from_text, query)
+    timings.append(timing)
+    retrieval, timing = timed_result(
+        "Hybrid retrieval",
+        parallel_retrieval,
+        engine,
+        retrieval_query,
+        config,
+    )
+    timings.extend(retrieval.timings)
+    timings.append(timing)
+    fused, timing = timed_result(
+        "Reciprocal rank fusion",
+        reciprocal_rank_fusion,
+        retrieval.vector_results,
+        retrieval.lexical_results,
+    )
+    timings.append(timing)
+    if config.rerank.enabled and rerank:
+        response, timing = timed_result("Rerank", apply_rerank, query, fused, config)
+    else:
+        response, timing = timed_result("Rerank skipped", skip_rerank, query, fused, config)
+    timings.append(timing)
+    response = replace(response, timings=tuple(timings))
+    logger.info(
+        "ebook_search_complete vector_candidates=%s lexical_candidates=%s "
+        "fused_candidates=%s returned=%s rank_label=%s runtime_ms=%.1f",
+        len(retrieval.vector_results),
+        len(retrieval.lexical_results),
+        len(fused),
+        len(response.results),
+        response.rank_label,
+        response.total_runtime_ms,
+    )
+    return response
+
+
+def parallel_retrieval(engine: Engine, query: str, config: EbookSearchConfig) -> RetrievalResponse:
+    """Run vector and BM25 candidate retrieval concurrently with separate database sessions."""
+    with ThreadPoolExecutor(max_workers=2, thread_name_prefix="ebook-search") as executor:
+        vector_future = executor.submit(
+            timed_result,
+            "Embedding + vector search",
+            vector_candidates,
+            engine,
+            query,
+            config,
+        )
+        bm25_future = executor.submit(
+            timed_result,
+            "BM25 search",
+            bm25_candidates,
+            query,
+            config,
+        )
+        vector_results, vector_timing = vector_future.result()
+        lexical_results, lexical_timing = bm25_future.result()
+
+    logger.info(
+        "ebook_parallel_retrieval_complete vector_candidates=%s lexical_candidates=%s",
+        len(vector_results),
+        len(lexical_results),
+    )
+    return RetrievalResponse(
+        vector_results=vector_results,
+        lexical_results=lexical_results,
+        timings=(
+            replace(vector_timing, counts_toward_total=False),
+            replace(lexical_timing, counts_toward_total=False),
+        ),
+    )
+
+
+def skip_rerank(
+    query: str,
+    candidates: list[SearchResult],
+    config: EbookSearchConfig,
+) -> SearchResponse:
+    """Return fused hybrid results without reranking."""
+    logger.info("ebook_rerank_skipped candidates=%s", len(candidates))
+    return SearchResponse(query=query, results=candidates[: config.top_k], rank_label="Hybrid")
+
+
+def apply_rerank(
+    query: str,
+    candidates: list[SearchResult],
+    config: EbookSearchConfig,
+) -> SearchResponse:
+    """Rerank already-fused hybrid candidates."""
+    reranked = rerank_chunks(query, candidates[: config.rerank.candidates], config.rerank)
+    logger.info(
+        "ebook_rerank_complete input_candidates=%s returned=%s",
+        min(len(candidates), config.rerank.candidates),
+        len(reranked),
+    )
+    return SearchResponse(
+        query=query,
+        results=[replace(result, rank_source="Hybrid + rerank") for result in reranked[: config.top_k]],
+        rank_label="Hybrid + rerank",
+    )
+
+
+def vector_candidates(engine: Engine, query: str, config: EbookSearchConfig) -> list[SearchResult]:
+    """Return pgvector cosine candidates for a normalized query."""
+    with Session(engine) as session:
+        model = session.scalar(select(EbookEmbeddingModel).where(EbookEmbeddingModel.name == config.embedding_model))
+        if model is None:
+            msg = f"Embedding model is not registered: {config.embedding_model}"
+            raise ValueError(msg)
+
+        expected_dimension = MODEL_DIMENSIONS[config.embedding_model]
+        if model.dimension != expected_dimension:
+            msg = f"Model row dimension {model.dimension} does not match configured dimension {expected_dimension}"
+            raise ValueError(msg)
+
+        embedding = embed_query(query, config)
+        limit = max(config.rerank.candidates, config.top_k) * 4
+        embedding_table = get_embedding_table(model.dimension)
+
+        embedding_param = literal(embedding, type_=Vector(model.dimension))
+        distance = embedding_table.embedding.op("<=>")(embedding_param)
+        score = (literal(1.0) - distance).label("score")
+        statement = (
+            select(
+                EbookChunk.id.label("chunk_id"),
+                EbookChunk.text.label("text"),
+                EbookSource.title.label("source_title"),
+                EbookSource.author.label("source_author"),
+                EbookChapter.title.label("chapter_title"),
+                EbookChunk.page_label.label("page_label"),
+                score,
+            )
+            .select_from(embedding_table)
+            .join(EbookChunk, EbookChunk.id == embedding_table.chunk_id)
+            .join(EbookSource, EbookSource.id == EbookChunk.source_id)
+            .outerjoin(EbookChapter, EbookChapter.id == EbookChunk.chapter_id)
+            .where(embedding_table.model_id == model.id)
+            .order_by(distance)
+            .limit(limit)
+        )
+        rows = session.execute(statement).mappings()
+        results = [search_result_from_row(row) for row in rows]
+        logger.info(
+            "ebook_vector_search_complete model=%s dimension=%s candidates=%s",
+            config.embedding_model,
+            model.dimension,
+            len(results),
+        )
+        return results
+
+
+def bm25_candidates(query: str, config: EbookSearchConfig) -> list[SearchResult]:
+    """Return BM25-ranked lexical candidates using the persisted corpus."""
+    corpus = load_bm25_corpus(config)
+    if not corpus.records:
+        logger.info("ebook_bm25_search_complete corpus=0 candidates=0")
+        return []
+
+    scored_records = score_bm25_corpus(query, corpus, limit=BM25_CANDIDATE_LIMIT)
+    results = [
+        replace(search_result_from_row(record), score=score, vector_score=None, bm25_score=score)
+        for record, score in scored_records
+    ]
+
+    max_score = results[0].bm25_score if results else 0.0
+    logger.info(
+        "ebook_bm25_search_complete corpus=%s candidates=%s max_score=%.6f",
+        len(corpus.records),
+        len(results),
+        max_score,
+    )
+    return results
+
+
+def reciprocal_rank_fusion(
+    vector_results: list[SearchResult],
+    lexical_results: list[SearchResult],
+    *,
+    rank_constant: int = 60,
+) -> list[SearchResult]:
+    """Fuse vector and lexical rankings with Reciprocal Rank Fusion."""
+    by_chunk: dict[int, SearchResult] = {}
+    scores: dict[int, float] = {}
+    vector_scores: dict[int, float] = {}
+    bm25_scores: dict[int, float] = {}
+
+    for rank, result in enumerate(vector_results, start=1):
+        by_chunk.setdefault(result.chunk_id, result)
+        vector_scores[result.chunk_id] = result.vector_score if result.vector_score is not None else result.score
+        scores[result.chunk_id] = scores.get(result.chunk_id, 0.0) + (1 / (rank_constant + rank))
+
+    for rank, result in enumerate(lexical_results, start=1):
+        by_chunk.setdefault(result.chunk_id, result)
+        bm25_scores[result.chunk_id] = result.bm25_score if result.bm25_score is not None else result.score
+        scores[result.chunk_id] = scores.get(result.chunk_id, 0.0) + (1 / (rank_constant + rank))
+
+    return sorted(
+        (
+            replace(
+                result,
+                score=scores[result.chunk_id],
+                vector_score=vector_scores.get(result.chunk_id),
+                bm25_score=bm25_scores.get(result.chunk_id),
+                fused_score=scores[result.chunk_id],
+                rank_source="Hybrid",
+            )
+            for result in by_chunk.values()
+        ),
+        key=lambda result: result.score,
+        reverse=True,
+    )
+
+
+def search_result_from_row(row: Mapping[str, object]) -> SearchResult:
+    """Convert a database row mapping into a search result."""
+    return SearchResult(
+        chunk_id=int(row["chunk_id"]),
+        text=str(row["text"]),
+        source_title=str(row["source_title"]),
+        source_author=optional_str(row["source_author"]),
+        chapter_title=optional_str(row["chapter_title"]),
+        page_label=optional_str(row["page_label"]),
+        score=float(row["score"]) if "score" in row else 0.0,
+        vector_score=float(row["score"]) if "score" in row else None,
+    )
+
+
+def optional_str(value: object) -> str | None:
+    """Convert nullable database values to optional strings."""
+    if value is None:
+        return None
+    return str(value)
+
+
+TOKEN_RE = re.compile(r"[A-Za-z0-9_]+")
+
+
+def tokens(text_value: str) -> list[str]:
+    """Extract tokens from a text value.
+
+    This is a simple approximation of the tokenization used by PostgreSQL's full-text search,
+    which is sufficient for BM25 candidate retrieval. It lowercases tokens and includes alphanumeric characters and
+    underscores.
+    """
+    return [match.group(0).lower() for match in TOKEN_RE.finditer(text_value)]
+
+
+QUERY_STOP_WORDS = {
+    "a",
+    "an",
+    "and",
+    "are",
+    "as",
+    "at",
+    "does",
+    "for",
+    "in",
+    "is",
+    "of",
+    "the",
+    "to",
+    "what",
+    "when",
+    "where",
+    "which",
+    "who",
+    "why",
+}
+
+
+def retrieval_query_from_text(query: str) -> str:
+    """Remove generic question words while preserving entity and series terms."""
+    keywords = [token for token in tokens(query) if token not in QUERY_STOP_WORDS]
+    if not keywords:
+        return query
+    return " ".join(keywords)

python/ebook_search/timing.py

@@ -0,0 +1,36 @@
+"""Runtime timing helpers for EPUB search."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from time import perf_counter
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+
+@dataclass(frozen=True)
+class RuntimeStep:
+    """Elapsed runtime for one named search step."""
+
+    name: str
+    duration_ms: float
+    counts_toward_total: bool = True
+
+
+def runtime_step_from_start(name: str, start_seconds: float) -> RuntimeStep:
+    """Create a runtime step from a prior perf_counter timestamp."""
+    return RuntimeStep(name=name, duration_ms=(perf_counter() - start_seconds) * 1000)
+
+
+def timed_result[T, **P](
+    name: str,
+    operation: Callable[P, T],
+    *args: P.args,
+    **kwargs: P.kwargs,
+) -> tuple[T, RuntimeStep]:
+    """Run an operation and return its result plus elapsed runtime."""
+    start_seconds = perf_counter()
+    result = operation(*args, **kwargs)
+    return result, runtime_step_from_start(name, start_seconds)

python/heater/main.py

@@ -1,10 +1,9 @@
 """FastAPI heater control service."""
 
-from __future__ import annotations
-
 import logging
+from collections.abc import AsyncIterator
 from contextlib import asynccontextmanager
-from typing import TYPE_CHECKING, Annotated
+from typing import Annotated
 
 import typer
 import uvicorn
@@ -14,9 +13,6 @@ from python.common import configure_logger
 from python.heater.controller import HeaterController
 from python.heater.models import ActionResult, DeviceConfig, HeaterStatus
 
-if TYPE_CHECKING:
-    from collections.abc import AsyncIterator
-
 logger = logging.getLogger(__name__)
 
 

python/installer/__main__.py

@@ -262,7 +262,6 @@ def installer(
             ):
                 run(command, check=True, stdin=test.stdout)
 
-    # Fixed mount point for the new system; the installer runs as root on a fresh disk
     mnt_dir = "/tmp/nix_install"  # noqa: S108
 
     Path(mnt_dir).mkdir(parents=True, exist_ok=True)

python/orm/__init__.py

@@ -1,7 +1,13 @@
 """ORM package exports."""
 
+from python.orm.data_science_dev.base import DataScienceDevBase
 from python.orm.richie.base import RichieBase
+from python.orm.signal_bot.base import SignalBotBase
+from python.orm.van_inventory.base import VanInventoryBase
 
 __all__ = [
+    "DataScienceDevBase",
     "RichieBase",
+    "SignalBotBase",
+    "VanInventoryBase",
 ]

python/orm/data_science_dev/__init__.py

@@ -0,0 +1,11 @@
+"""Data science dev database ORM exports."""
+
+from __future__ import annotations
+
+from python.orm.data_science_dev.base import DataScienceDevBase, DataScienceDevTableBase, DataScienceDevTableBaseBig
+
+__all__ = [
+    "DataScienceDevBase",
+    "DataScienceDevTableBase",
+    "DataScienceDevTableBaseBig",
+]

python/orm/data_science_dev/base.py

@@ -0,0 +1,52 @@
+"""Data science dev database ORM base."""
+
+from __future__ import annotations
+
+from datetime import datetime
+
+from sqlalchemy import BigInteger, DateTime, MetaData, func
+from sqlalchemy.ext.declarative import AbstractConcreteBase
+from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
+
+from python.orm.common import NAMING_CONVENTION
+
+
+class DataScienceDevBase(DeclarativeBase):
+    """Base class for data_science_dev database ORM models."""
+
+    schema_name = "main"
+
+    metadata = MetaData(
+        schema=schema_name,
+        naming_convention=NAMING_CONVENTION,
+    )
+
+
+class _TableMixin:
+    """Shared timestamp columns for all table bases."""
+
+    created: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+    )
+    updated: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+        onupdate=func.now(),
+    )
+
+
+class DataScienceDevTableBase(_TableMixin, AbstractConcreteBase, DataScienceDevBase):
+    """Table with Integer primary key."""
+
+    __abstract__ = True
+
+    id: Mapped[int] = mapped_column(primary_key=True)
+
+
+class DataScienceDevTableBaseBig(_TableMixin, AbstractConcreteBase, DataScienceDevBase):
+    """Table with BigInteger primary key."""
+
+    __abstract__ = True
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True)

python/orm/data_science_dev/congress/__init__.py

@@ -0,0 +1,14 @@
+"""init."""
+
+from python.orm.data_science_dev.congress.bill import Bill, BillText
+from python.orm.data_science_dev.congress.legislator import Legislator, LegislatorSocialMedia
+from python.orm.data_science_dev.congress.vote import Vote, VoteRecord
+
+__all__ = [
+    "Bill",
+    "BillText",
+    "Legislator",
+    "LegislatorSocialMedia",
+    "Vote",
+    "VoteRecord",
+]

python/orm/data_science_dev/congress/bill.py

@@ -0,0 +1,66 @@
+"""Bill model - legislation introduced in Congress."""
+
+from __future__ import annotations
+
+from datetime import date
+from typing import TYPE_CHECKING
+
+from sqlalchemy import ForeignKey, Index, UniqueConstraint
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+
+from python.orm.data_science_dev.base import DataScienceDevTableBase
+
+if TYPE_CHECKING:
+    from python.orm.data_science_dev.congress.vote import Vote
+
+
+class Bill(DataScienceDevTableBase):
+    """Legislation with congress number, type, titles, status, and sponsor."""
+
+    __tablename__ = "bill"
+
+    congress: Mapped[int]
+    bill_type: Mapped[str]
+    number: Mapped[int]
+
+    title: Mapped[str | None]
+    title_short: Mapped[str | None]
+    official_title: Mapped[str | None]
+
+    status: Mapped[str | None]
+    status_at: Mapped[date | None]
+
+    sponsor_bioguide_id: Mapped[str | None]
+
+    subjects_top_term: Mapped[str | None]
+
+    votes: Mapped[list[Vote]] = relationship(
+        "Vote",
+        back_populates="bill",
+    )
+    bill_texts: Mapped[list[BillText]] = relationship(
+        "BillText",
+        back_populates="bill",
+        cascade="all, delete-orphan",
+    )
+
+    __table_args__ = (
+        UniqueConstraint("congress", "bill_type", "number", name="uq_bill_congress_type_number"),
+        Index("ix_bill_congress", "congress"),
+    )
+
+
+class BillText(DataScienceDevTableBase):
+    """Stores different text versions of a bill (introduced, enrolled, etc.)."""
+
+    __tablename__ = "bill_text"
+
+    bill_id: Mapped[int] = mapped_column(ForeignKey("main.bill.id", ondelete="CASCADE"))
+    version_code: Mapped[str]
+    version_name: Mapped[str | None]
+    text_content: Mapped[str | None]
+    date: Mapped[date | None]
+
+    bill: Mapped[Bill] = relationship("Bill", back_populates="bill_texts")
+
+    __table_args__ = (UniqueConstraint("bill_id", "version_code", name="uq_bill_text_bill_id_version_code"),)

python/orm/data_science_dev/congress/legislator.py

@@ -0,0 +1,66 @@
+"""Legislator model - members of Congress."""
+
+from __future__ import annotations
+
+from datetime import date
+from typing import TYPE_CHECKING
+
+from sqlalchemy import ForeignKey, Text
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+
+from python.orm.data_science_dev.base import DataScienceDevTableBase
+
+if TYPE_CHECKING:
+    from python.orm.data_science_dev.congress.vote import VoteRecord
+
+
+class Legislator(DataScienceDevTableBase):
+    """Members of Congress with identification and current term info."""
+
+    __tablename__ = "legislator"
+
+    bioguide_id: Mapped[str] = mapped_column(Text, unique=True, index=True)
+
+    thomas_id: Mapped[str | None]
+    lis_id: Mapped[str | None]
+    govtrack_id: Mapped[int | None]
+    opensecrets_id: Mapped[str | None]
+    fec_ids: Mapped[str | None]
+
+    first_name: Mapped[str]
+    last_name: Mapped[str]
+    official_full_name: Mapped[str | None]
+    nickname: Mapped[str | None]
+
+    birthday: Mapped[date | None]
+    gender: Mapped[str | None]
+
+    current_party: Mapped[str | None]
+    current_state: Mapped[str | None]
+    current_district: Mapped[int | None]
+    current_chamber: Mapped[str | None]
+
+    social_media_accounts: Mapped[list[LegislatorSocialMedia]] = relationship(
+        "LegislatorSocialMedia",
+        back_populates="legislator",
+        cascade="all, delete-orphan",
+    )
+    vote_records: Mapped[list[VoteRecord]] = relationship(
+        "VoteRecord",
+        back_populates="legislator",
+        cascade="all, delete-orphan",
+    )
+
+
+class LegislatorSocialMedia(DataScienceDevTableBase):
+    """Social media account linked to a legislator."""
+
+    __tablename__ = "legislator_social_media"
+
+    legislator_id: Mapped[int] = mapped_column(ForeignKey("main.legislator.id"))
+    platform: Mapped[str]
+    account_name: Mapped[str]
+    url: Mapped[str | None]
+    source: Mapped[str]
+
+    legislator: Mapped[Legislator] = relationship(back_populates="social_media_accounts")

python/orm/data_science_dev/congress/vote.py

@@ -0,0 +1,79 @@
+"""Vote model - roll call votes in Congress."""
+
+from __future__ import annotations
+
+from datetime import date
+from typing import TYPE_CHECKING
+
+from sqlalchemy import ForeignKey, Index, UniqueConstraint
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+
+from python.orm.data_science_dev.base import DataScienceDevBase, DataScienceDevTableBase
+
+if TYPE_CHECKING:
+    from python.orm.data_science_dev.congress.bill import Bill
+    from python.orm.data_science_dev.congress.legislator import Legislator
+    from python.orm.data_science_dev.congress.vote import Vote
+
+
+class VoteRecord(DataScienceDevBase):
+    """Links a vote to a legislator with their position (Yea, Nay, etc.)."""
+
+    __tablename__ = "vote_record"
+
+    vote_id: Mapped[int] = mapped_column(
+        ForeignKey("main.vote.id", ondelete="CASCADE"),
+        primary_key=True,
+    )
+    legislator_id: Mapped[int] = mapped_column(
+        ForeignKey("main.legislator.id", ondelete="CASCADE"),
+        primary_key=True,
+    )
+    position: Mapped[str]
+
+    vote: Mapped[Vote] = relationship("Vote", back_populates="vote_records")
+    legislator: Mapped[Legislator] = relationship("Legislator", back_populates="vote_records")
+
+
+class Vote(DataScienceDevTableBase):
+    """Roll call votes with counts and optional bill linkage."""
+
+    __tablename__ = "vote"
+
+    congress: Mapped[int]
+    chamber: Mapped[str]
+    session: Mapped[int]
+    number: Mapped[int]
+
+    vote_type: Mapped[str | None]
+    question: Mapped[str | None]
+    result: Mapped[str | None]
+    result_text: Mapped[str | None]
+
+    vote_date: Mapped[date]
+
+    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"))
+
+    bill: Mapped[Bill | None] = relationship("Bill", back_populates="votes")
+    vote_records: Mapped[list[VoteRecord]] = relationship(
+        "VoteRecord",
+        back_populates="vote",
+        cascade="all, delete-orphan",
+    )
+
+    __table_args__ = (
+        UniqueConstraint(
+            "congress",
+            "chamber",
+            "session",
+            "number",
+            name="uq_vote_congress_chamber_session_number",
+        ),
+        Index("ix_vote_date", "vote_date"),
+        Index("ix_vote_congress_chamber", "congress", "chamber"),
+    )

python/orm/data_science_dev/models.py

@@ -0,0 +1,16 @@
+"""Data science dev database ORM models."""
+
+from __future__ import annotations
+
+from python.orm.data_science_dev.congress import Bill, BillText, Legislator, Vote, VoteRecord
+from python.orm.data_science_dev.posts import partitions  # noqa: F401 — registers partition classes in metadata
+from python.orm.data_science_dev.posts.tables import Posts
+
+__all__ = [
+    "Bill",
+    "BillText",
+    "Legislator",
+    "Posts",
+    "Vote",
+    "VoteRecord",
+]

python/orm/data_science_dev/posts/__init__.py

@@ -0,0 +1,11 @@
+"""Posts module — weekly-partitioned posts table and partition ORM models."""
+
+from __future__ import annotations
+
+from python.orm.data_science_dev.posts.failed_ingestion import FailedIngestion
+from python.orm.data_science_dev.posts.tables import Posts
+
+__all__ = [
+    "FailedIngestion",
+    "Posts",
+]

python/orm/data_science_dev/posts/columns.py

@@ -0,0 +1,33 @@
+"""Shared column definitions for the posts partitioned table family."""
+
+from __future__ import annotations
+
+from datetime import datetime
+
+from sqlalchemy import BigInteger, SmallInteger, Text
+from sqlalchemy.orm import Mapped, mapped_column
+
+
+class PostsColumns:
+    """Mixin providing all posts columns. Used by both the parent table and partitions."""
+
+    post_id: Mapped[int] = mapped_column(BigInteger, primary_key=True)
+    user_id: Mapped[int] = mapped_column(BigInteger)
+    instance: Mapped[str]
+    date: Mapped[datetime] = mapped_column(primary_key=True)
+    text: Mapped[str] = mapped_column(Text)
+    langs: Mapped[str | None]
+    like_count: Mapped[int]
+    reply_count: Mapped[int]
+    repost_count: Mapped[int]
+    reply_to: Mapped[int | None] = mapped_column(BigInteger)
+    replied_author: Mapped[int | None] = mapped_column(BigInteger)
+    thread_root: Mapped[int | None] = mapped_column(BigInteger)
+    thread_root_author: Mapped[int | None] = mapped_column(BigInteger)
+    repost_from: Mapped[int | None] = mapped_column(BigInteger)
+    reposted_author: Mapped[int | None] = mapped_column(BigInteger)
+    quotes: Mapped[int | None] = mapped_column(BigInteger)
+    quoted_author: Mapped[int | None] = mapped_column(BigInteger)
+    labels: Mapped[str | None]
+    sent_label: Mapped[int | None] = mapped_column(SmallInteger)
+    sent_score: Mapped[float | None]

python/orm/data_science_dev/posts/failed_ingestion.py

@@ -0,0 +1,17 @@
+"""Table for storing JSONL lines that failed during post ingestion."""
+
+from __future__ import annotations
+
+from sqlalchemy import Text
+from sqlalchemy.orm import Mapped, mapped_column
+
+from python.orm.data_science_dev.base import DataScienceDevTableBase
+
+
+class FailedIngestion(DataScienceDevTableBase):
+    """Stores raw JSONL lines and their error messages when ingestion fails."""
+
+    __tablename__ = "failed_ingestion"
+
+    raw_line: Mapped[str] = mapped_column(Text)
+    error: Mapped[str] = mapped_column(Text)

python/orm/data_science_dev/posts/partitions.py

@@ -0,0 +1,71 @@
+"""Dynamically generated ORM classes for each weekly partition of the posts table.
+
+Each class maps to a PostgreSQL partition table (e.g. posts_2024_01).
+These are real ORM models tracked by Alembic autogenerate.
+
+Uses ISO week numbering (datetime.isocalendar().week). ISO years can have
+52 or 53 weeks, and week boundaries are always Monday to Monday.
+"""
+
+from __future__ import annotations
+
+import sys
+from datetime import UTC, datetime
+
+from python.orm.data_science_dev.base import DataScienceDevBase
+from python.orm.data_science_dev.posts.columns import PostsColumns
+
+PARTITION_START_YEAR = 2023
+PARTITION_END_YEAR = 2026
+
+_current_module = sys.modules[__name__]
+
+
+def iso_weeks_in_year(year: int) -> int:
+    """Return the number of ISO weeks in a given year (52 or 53)."""
+    dec_28 = datetime(year, 12, 28, tzinfo=UTC)
+    return dec_28.isocalendar().week
+
+
+def week_bounds(year: int, week: int) -> tuple[datetime, datetime]:
+    """Return (start, end) datetimes for an ISO week.
+
+    Start = Monday 00:00:00 UTC of the given ISO week.
+    End   = Monday 00:00:00 UTC of the following ISO week.
+    """
+    start = datetime.fromisocalendar(year, week, 1).replace(tzinfo=UTC)
+    if week < iso_weeks_in_year(year):
+        end = datetime.fromisocalendar(year, week + 1, 1).replace(tzinfo=UTC)
+    else:
+        end = datetime.fromisocalendar(year + 1, 1, 1).replace(tzinfo=UTC)
+    return start, end
+
+
+def _build_partition_classes() -> dict[str, type]:
+    """Generate one ORM class per ISO week partition."""
+    classes: dict[str, type] = {}
+
+    for year in range(PARTITION_START_YEAR, PARTITION_END_YEAR + 1):
+        for week in range(1, iso_weeks_in_year(year) + 1):
+            class_name = f"PostsWeek{year}W{week:02d}"
+            table_name = f"posts_{year}_{week:02d}"
+
+            partition_class = type(
+                class_name,
+                (PostsColumns, DataScienceDevBase),
+                {
+                    "__tablename__": table_name,
+                    "__table_args__": ({"implicit_returning": False},),
+                },
+            )
+
+            classes[class_name] = partition_class
+
+    return classes
+
+
+# Generate all partition classes and register them on this module
+_partition_classes = _build_partition_classes()
+for _name, _cls in _partition_classes.items():
+    setattr(_current_module, _name, _cls)
+__all__ = list(_partition_classes.keys())

python/orm/data_science_dev/posts/tables.py

@@ -0,0 +1,13 @@
+"""Posts parent table with PostgreSQL weekly range partitioning on date column."""
+
+from __future__ import annotations
+
+from python.orm.data_science_dev.base import DataScienceDevBase
+from python.orm.data_science_dev.posts.columns import PostsColumns
+
+
+class Posts(PostsColumns, DataScienceDevBase):
+    """Parent partitioned table for posts, partitioned by week on `date`."""
+
+    __tablename__ = "posts"
+    __table_args__ = ({"postgresql_partition_by": "RANGE (date)"},)

python/orm/richie/__init__.py

@@ -11,6 +11,15 @@ from python.orm.richie.contact import (
     Need,
     RelationshipType,
 )
+from python.orm.richie.ebook import (
+    EbookChapter,
+    EbookChunk,
+    EbookChunkEmbedding1024,
+    EbookChunkEmbedding2560,
+    EbookChunkEmbedding4096,
+    EbookEmbeddingModel,
+    EbookSource,
+)
 
 __all__ = [
     "Audiobook",
@@ -19,6 +28,13 @@ __all__ = [
     "Contact",
     "ContactNeed",
     "ContactRelationship",
+    "EbookChapter",
+    "EbookChunk",
+    "EbookChunkEmbedding1024",
+    "EbookChunkEmbedding2560",
+    "EbookChunkEmbedding4096",
+    "EbookEmbeddingModel",
+    "EbookSource",
     "Need",
     "RelationshipType",
     "RichieBase",

python/orm/richie/audiobook.py

@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from sqlalchemy import ForeignKey, UniqueConstraint
+from sqlalchemy import ForeignKey, String, UniqueConstraint
 from sqlalchemy.orm import Mapped, mapped_column, relationship
 
 from python.orm.richie.base import TableBase
@@ -14,7 +14,7 @@ class AudiobookAuthor(TableBase):
     __tablename__ = "audiobook_author"
     __table_args__ = (UniqueConstraint("name"),)
 
-    name: Mapped[str]
+    name: Mapped[str] = mapped_column(String, unique=True)
 
     books: Mapped[list[Audiobook]] = relationship("Audiobook", back_populates="author")
     series: Mapped[list[AudiobookSeries]] = relationship("AudiobookSeries", back_populates="author")
@@ -26,7 +26,7 @@ class AudiobookSeries(TableBase):
     __tablename__ = "audiobook_series"
     __table_args__ = (UniqueConstraint("author_id", "name"),)
 
-    name: Mapped[str]
+    name: Mapped[str] = mapped_column(String)
     author_id: Mapped[int] = mapped_column(ForeignKey("main.audiobook_author.id", ondelete="CASCADE"))
 
     author: Mapped[AudiobookAuthor] = relationship("AudiobookAuthor", back_populates="series")
@@ -46,7 +46,7 @@ class Audiobook(TableBase):
         ),
     )
 
-    title: Mapped[str]
+    title: Mapped[str] = mapped_column(String)
     author_id: Mapped[int] = mapped_column(ForeignKey("main.audiobook_author.id", ondelete="CASCADE"))
     series_id: Mapped[int | None] = mapped_column(ForeignKey("main.audiobook_series.id", ondelete="SET NULL"))
     series_index: Mapped[float] = mapped_column(default=0.0)

python/orm/richie/ebook.py

@@ -0,0 +1,130 @@
+"""EPUB search models."""
+
+from __future__ import annotations
+
+from datetime import datetime
+
+from pgvector.sqlalchemy import Vector
+from sqlalchemy import BigInteger, Boolean, DateTime, ForeignKey, String, UniqueConstraint
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+
+from python.orm.richie.base import TableBase, TableBaseBig
+
+
+class EbookSource(TableBase):
+    """One indexed EPUB file."""
+
+    __tablename__ = "ebook_source"
+    __table_args__ = (
+        UniqueConstraint("file_path"),
+        UniqueConstraint("file_sha256"),
+    )
+
+    title: Mapped[str]
+    author: Mapped[str | None]
+    language: Mapped[str | None]
+    publisher: Mapped[str | None]
+    identifier: Mapped[str | None]
+    file_path: Mapped[str]
+    file_sha256: Mapped[str] = mapped_column(String(64))
+    file_mtime: Mapped[datetime] = mapped_column(DateTime(timezone=True))
+    file_size: Mapped[int] = mapped_column(BigInteger)
+
+    chapters: Mapped[list[EbookChapter]] = relationship(
+        "EbookChapter",
+        back_populates="source",
+        cascade="all, delete-orphan",
+        passive_deletes=True,
+    )
+    chunks: Mapped[list[EbookChunk]] = relationship(
+        "EbookChunk",
+        back_populates="source",
+        cascade="all, delete-orphan",
+        passive_deletes=True,
+    )
+
+
+class EbookChapter(TableBase):
+    """A chapter or spine document inside an EPUB."""
+
+    __tablename__ = "ebook_chapter"
+    __table_args__ = (UniqueConstraint("source_id", "spine_index"),)
+
+    source_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_source.id", ondelete="CASCADE"))
+    spine_index: Mapped[int]
+    title: Mapped[str | None]
+    href: Mapped[str | None]
+
+    source: Mapped[EbookSource] = relationship("EbookSource", back_populates="chapters")
+    chunks: Mapped[list[EbookChunk]] = relationship(
+        "EbookChunk",
+        back_populates="chapter",
+        cascade="all, delete-orphan",
+        passive_deletes=True,
+    )
+
+
+class EbookChunk(TableBaseBig):
+    """A searchable text chunk."""
+
+    __tablename__ = "ebook_chunk"
+    __table_args__ = (
+        UniqueConstraint("source_id", "chunk_index", name="uq_ebook_chunk_source_id_chunk_index"),
+        UniqueConstraint("source_id", "content_sha256", name="uq_ebook_chunk_source_id_content_sha256"),
+    )
+
+    source_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_source.id", ondelete="CASCADE"))
+    chapter_id: Mapped[int | None] = mapped_column(ForeignKey("main.ebook_chapter.id", ondelete="SET NULL"))
+    chunk_index: Mapped[int]
+    text: Mapped[str]
+    token_start: Mapped[int]
+    token_count: Mapped[int]
+    page_label: Mapped[str | None]
+    content_sha256: Mapped[str] = mapped_column(String(64))
+    search_text: Mapped[str]
+
+    source: Mapped[EbookSource] = relationship("EbookSource", back_populates="chunks")
+    chapter: Mapped[EbookChapter | None] = relationship("EbookChapter", back_populates="chunks")
+
+
+class EbookEmbeddingModel(TableBase):
+    """A supported embedding model."""
+
+    __tablename__ = "ebook_embedding_model"
+
+    name: Mapped[str] = mapped_column(String, unique=True)
+    dimension: Mapped[int]
+    is_default: Mapped[bool] = mapped_column(Boolean, default=False)
+
+
+class EbookChunkEmbedding1024(TableBaseBig):
+    """1024-dimensional chunk embedding."""
+
+    __tablename__ = "ebook_chunk_embedding_1024"
+    __table_args__ = (UniqueConstraint("chunk_id", "model_id"),)
+
+    chunk_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_chunk.id", ondelete="CASCADE"))
+    model_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_embedding_model.id", ondelete="CASCADE"))
+    embedding: Mapped[list[float]] = mapped_column(Vector(1024))
+
+
+class EbookChunkEmbedding2560(TableBaseBig):
+    """2560-dimensional chunk embedding."""
+
+    __tablename__ = "ebook_chunk_embedding_2560"
+    __table_args__ = (UniqueConstraint("chunk_id", "model_id"),)
+
+    chunk_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_chunk.id", ondelete="CASCADE"))
+    model_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_embedding_model.id", ondelete="CASCADE"))
+    embedding: Mapped[list[float]] = mapped_column(Vector(2560))
+
+
+class EbookChunkEmbedding4096(TableBaseBig):
+    """4096-dimensional chunk embedding."""
+
+    __tablename__ = "ebook_chunk_embedding_4096"
+    __table_args__ = (UniqueConstraint("chunk_id", "model_id"),)
+
+    chunk_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_chunk.id", ondelete="CASCADE"))
+    model_id: Mapped[int] = mapped_column(ForeignKey("main.ebook_embedding_model.id", ondelete="CASCADE"))
+    embedding: Mapped[list[float]] = mapped_column(Vector(4096))

python/orm/signal_bot/__init__.py

@@ -0,0 +1,16 @@
+"""Signal bot database ORM exports."""
+
+from __future__ import annotations
+
+from python.orm.signal_bot.base import SignalBotBase, SignalBotTableBase, SignalBotTableBaseSmall
+from python.orm.signal_bot.models import DeadLetterMessage, DeviceRole, RoleRecord, SignalDevice
+
+__all__ = [
+    "DeadLetterMessage",
+    "DeviceRole",
+    "RoleRecord",
+    "SignalBotBase",
+    "SignalBotTableBase",
+    "SignalBotTableBaseSmall",
+    "SignalDevice",
+]

python/orm/signal_bot/base.py

@@ -0,0 +1,52 @@
+"""Signal bot database ORM base."""
+
+from __future__ import annotations
+
+from datetime import datetime
+
+from sqlalchemy import DateTime, MetaData, SmallInteger, func
+from sqlalchemy.ext.declarative import AbstractConcreteBase
+from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
+
+from python.orm.common import NAMING_CONVENTION
+
+
+class SignalBotBase(DeclarativeBase):
+    """Base class for signal_bot database ORM models."""
+
+    schema_name = "main"
+
+    metadata = MetaData(
+        schema=schema_name,
+        naming_convention=NAMING_CONVENTION,
+    )
+
+
+class _TableMixin:
+    """Shared timestamp columns for all table bases."""
+
+    created: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+    )
+    updated: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+        onupdate=func.now(),
+    )
+
+
+class SignalBotTableBaseSmall(_TableMixin, AbstractConcreteBase, SignalBotBase):
+    """Table with SmallInteger primary key."""
+
+    __abstract__ = True
+
+    id: Mapped[int] = mapped_column(SmallInteger, primary_key=True)
+
+
+class SignalBotTableBase(_TableMixin, AbstractConcreteBase, SignalBotBase):
+    """Table with Integer primary key."""
+
+    __abstract__ = True
+
+    id: Mapped[int] = mapped_column(primary_key=True)

python/orm/signal_bot/models.py

@@ -0,0 +1,62 @@
+"""Signal bot device, role, and dead letter ORM models."""
+
+from __future__ import annotations
+
+from datetime import datetime
+
+from sqlalchemy import DateTime, Enum, ForeignKey, SmallInteger, String, Text, UniqueConstraint
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+
+from python.orm.signal_bot.base import SignalBotTableBase, SignalBotTableBaseSmall
+from python.signal_bot.models import MessageStatus, TrustLevel
+
+
+class RoleRecord(SignalBotTableBaseSmall):
+    """Lookup table for RBAC roles, keyed by smallint."""
+
+    __tablename__ = "role"
+
+    name: Mapped[str] = mapped_column(String(50), unique=True)
+
+
+class DeviceRole(SignalBotTableBase):
+    """Association between a device and a role."""
+
+    __tablename__ = "device_role"
+    __table_args__ = (
+        UniqueConstraint("device_id", "role_id", name="uq_device_role_device_role"),
+        {"schema": "main"},
+    )
+
+    device_id: Mapped[int] = mapped_column(ForeignKey("main.signal_device.id"))
+    role_id: Mapped[int] = mapped_column(SmallInteger, ForeignKey("main.role.id"))
+
+
+class SignalDevice(SignalBotTableBase):
+    """A Signal device tracked by phone number and safety number."""
+
+    __tablename__ = "signal_device"
+
+    phone_number: Mapped[str] = mapped_column(String(50), unique=True)
+    safety_number: Mapped[str | None]
+    trust_level: Mapped[TrustLevel] = mapped_column(
+        Enum(TrustLevel, name="trust_level", create_constraint=False, native_enum=False),
+        default=TrustLevel.UNVERIFIED,
+    )
+    last_seen: Mapped[datetime] = mapped_column(DateTime(timezone=True))
+
+    roles: Mapped[list[RoleRecord]] = relationship(secondary=DeviceRole.__table__)
+
+
+class DeadLetterMessage(SignalBotTableBase):
+    """A Signal message that failed processing and was sent to the dead letter queue."""
+
+    __tablename__ = "dead_letter_message"
+
+    source: Mapped[str]
+    message: Mapped[str] = mapped_column(Text)
+    received_at: Mapped[datetime] = mapped_column(DateTime(timezone=True))
+    status: Mapped[MessageStatus] = mapped_column(
+        Enum(MessageStatus, name="message_status", create_constraint=False, native_enum=False),
+        default=MessageStatus.UNPROCESSED,
+    )

python/orm/van_inventory/__init__.py

@@ -0,0 +1 @@
+"""Van inventory database ORM exports."""

python/orm/van_inventory/base.py

@@ -0,0 +1,39 @@
+"""Van inventory database ORM base."""
+
+from __future__ import annotations
+
+from datetime import datetime
+
+from sqlalchemy import DateTime, MetaData, func
+from sqlalchemy.ext.declarative import AbstractConcreteBase
+from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
+
+from python.orm.common import NAMING_CONVENTION
+
+
+class VanInventoryBase(DeclarativeBase):
+    """Base class for van_inventory database ORM models."""
+
+    schema_name = "main"
+
+    metadata = MetaData(
+        schema=schema_name,
+        naming_convention=NAMING_CONVENTION,
+    )
+
+
+class VanTableBase(AbstractConcreteBase, VanInventoryBase):
+    """Abstract concrete base for van_inventory tables with IDs and timestamps."""
+
+    __abstract__ = True
+
+    id: Mapped[int] = mapped_column(primary_key=True)
+    created: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+    )
+    updated: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+        onupdate=func.now(),
+    )

python/orm/van_inventory/models.py

@@ -0,0 +1,46 @@
+"""Van inventory ORM models."""
+
+from __future__ import annotations
+
+from sqlalchemy import ForeignKey, UniqueConstraint
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+
+from python.orm.van_inventory.base import VanTableBase
+
+
+class Item(VanTableBase):
+    """A food item in the van."""
+
+    __tablename__ = "items"
+
+    name: Mapped[str] = mapped_column(unique=True)
+    quantity: Mapped[float] = mapped_column(default=0)
+    unit: Mapped[str]
+    category: Mapped[str | None]
+
+    meal_ingredients: Mapped[list[MealIngredient]] = relationship(back_populates="item")
+
+
+class Meal(VanTableBase):
+    """A meal that can be made from items in the van."""
+
+    __tablename__ = "meals"
+
+    name: Mapped[str] = mapped_column(unique=True)
+    instructions: Mapped[str | None]
+
+    ingredients: Mapped[list[MealIngredient]] = relationship(back_populates="meal")
+
+
+class MealIngredient(VanTableBase):
+    """Links a meal to the items it requires, with quantities."""
+
+    __tablename__ = "meal_ingredients"
+    __table_args__ = (UniqueConstraint("meal_id", "item_id"),)
+
+    meal_id: Mapped[int] = mapped_column(ForeignKey("meals.id"))
+    item_id: Mapped[int] = mapped_column(ForeignKey("items.id"))
+    quantity_needed: Mapped[float]
+
+    meal: Mapped[Meal] = relationship(back_populates="ingredients")
+    item: Mapped[Item] = relationship(back_populates="meal_ingredients")

python/signal_bot/__init__.py

@@ -0,0 +1 @@
+"""Signal command and control bot."""

python/signal_bot/commands/__init__.py

@@ -0,0 +1 @@
+"""Signal bot commands."""

python/signal_bot/commands/inventory.py

@@ -0,0 +1,137 @@
+"""Van inventory command — parse receipts and item lists via LLM, push to API."""
+
+from __future__ import annotations
+
+import json
+import logging
+from typing import TYPE_CHECKING, Any
+
+import httpx
+
+from python.signal_bot.models import InventoryItem, InventoryUpdate
+
+if TYPE_CHECKING:
+    from python.signal_bot.llm_client import LLMClient
+    from python.signal_bot.models import SignalMessage
+    from python.signal_bot.signal_client import SignalClient
+
+logger = logging.getLogger(__name__)
+
+SYSTEM_PROMPT = """\
+You are an inventory assistant. Extract items from the input and return ONLY
+a JSON array. Each element must have these fields:
+  - "name": item name (string)
+  - "quantity": numeric count or amount (default 1)
+  - "unit": unit of measure (e.g. "each", "lb", "oz", "gallon", "bag", "box")
+  - "category": category like "food", "tools", "supplies", etc.
+  - "notes": any extra detail (empty string if none)
+
+Example output:
+[{"name": "water bottles", "quantity": 6, "unit": "gallon", "category": "supplies", "notes": "1 gallon each"}]
+
+Return ONLY the JSON array, no other text.\
+"""
+
+IMAGE_PROMPT = "Extract all items from this receipt or inventory photo."
+TEXT_PROMPT = "Extract all items from this inventory list."
+
+
+def parse_llm_response(raw: str) -> list[InventoryItem]:
+    """Parse the LLM JSON response into InventoryItem list."""
+    text = raw.strip()
+    # Strip markdown code fences if present
+    if text.startswith("```"):
+        lines = text.split("\n")
+        lines = [line for line in lines if not line.startswith("```")]
+        text = "\n".join(lines)
+
+    items_data: list[dict[str, Any]] = json.loads(text)
+    return [InventoryItem.model_validate(item) for item in items_data]
+
+
+def _upsert_item(api_url: str, item: InventoryItem) -> None:
+    """Create or update an item via the van_inventory API.
+
+    Fetches existing items, and if one with the same name exists,
+    patches its quantity (summing). Otherwise creates a new item.
+    """
+    base = api_url.rstrip("/")
+    response = httpx.get(f"{base}/api/items", timeout=10)
+    response.raise_for_status()
+    existing: list[dict[str, Any]] = response.json()
+
+    match = next((e for e in existing if e["name"].lower() == item.name.lower()), None)
+
+    if match:
+        new_qty = match["quantity"] + item.quantity
+        patch = {"quantity": new_qty}
+        if item.category:
+            patch["category"] = item.category
+        response = httpx.patch(f"{base}/api/items/{match['id']}", json=patch, timeout=10)
+        response.raise_for_status()
+        return
+    payload = {
+        "name": item.name,
+        "quantity": item.quantity,
+        "unit": item.unit,
+        "category": item.category or None,
+    }
+    response = httpx.post(f"{base}/api/items", json=payload, timeout=10)
+    response.raise_for_status()
+
+
+def handle_inventory_update(
+    message: SignalMessage,
+    signal: SignalClient,
+    llm: LLMClient,
+    api_url: str,
+) -> InventoryUpdate:
+    """Process an inventory update from a Signal message.
+
+    Accepts either an image (receipt photo) or text list.
+    Uses the LLM to extract structured items, then pushes to the van_inventory API.
+    """
+    try:
+        logger.info(f"Processing inventory update from {message.source}")
+        if message.attachments:
+            image_data = signal.get_attachment(message.attachments[0])
+            raw_response = llm.chat(
+                IMAGE_PROMPT,
+                image_data=image_data,
+                system=SYSTEM_PROMPT,
+            )
+            source_type = "receipt_photo"
+        elif message.message.strip():
+            raw_response = llm.chat(
+                f"{TEXT_PROMPT}\n\n{message.message}",
+                system=SYSTEM_PROMPT,
+            )
+            source_type = "text_list"
+        else:
+            signal.reply(message, "Send a photo of a receipt or a text list of items to update inventory.")
+            return InventoryUpdate()
+
+        logger.info(f"{raw_response=}")
+
+        new_items = parse_llm_response(raw_response)
+
+        logger.info(f"{new_items=}")
+
+        for item in new_items:
+            _upsert_item(api_url, item)
+
+        summary = _format_summary(new_items)
+        signal.reply(message, f"Inventory updated with {len(new_items)} item(s):\n{summary}")
+
+        return InventoryUpdate(items=new_items, raw_response=raw_response, source_type=source_type)
+
+    except Exception:
+        logger.exception("Failed to process inventory update")
+        signal.reply(message, "Failed to process inventory update. Check logs for details.")
+        return InventoryUpdate()
+
+
+def _format_summary(items: list[InventoryItem]) -> str:
+    """Format items into a readable summary."""
+    lines = [f"  - {item.name} x{item.quantity} {item.unit} [{item.category}]" for item in items]
+    return "\n".join(lines)

python/signal_bot/commands/location.py

@@ -0,0 +1,64 @@
+"""Location command for the Signal bot."""
+
+from __future__ import annotations
+
+import logging
+from typing import TYPE_CHECKING, Any
+
+import httpx
+
+if TYPE_CHECKING:
+    from python.signal_bot.models import SignalMessage
+    from python.signal_bot.signal_client import SignalClient
+
+logger = logging.getLogger(__name__)
+
+
+def _get_entity_state(ha_url: str, ha_token: str, entity_id: str) -> dict[str, Any]:
+    """Fetch an entity's state from Home Assistant."""
+    entity_url = f"{ha_url}/api/states/{entity_id}"
+    logger.debug(f"Fetching {entity_url=}")
+    response = httpx.get(
+        entity_url,
+        headers={"Authorization": f"Bearer {ha_token}"},
+        timeout=30,
+    )
+    response.raise_for_status()
+    return response.json()
+
+
+def _format_location(latitude: str, longitude: str) -> str:
+    """Render a friendly location response."""
+    return f"Van location: {latitude}, {longitude}\nhttps://maps.google.com/?q={latitude},{longitude}"
+
+
+def handle_location_request(
+    message: SignalMessage,
+    signal: SignalClient,
+    ha_url: str | None,
+    ha_token: str | None,
+) -> None:
+    """Reply with van location from Home Assistant."""
+    if ha_url is None or ha_token is None:
+        signal.reply(message, "Location command is not configured (missing HA_URL or HA_TOKEN).")
+        return
+
+    lat_payload = None
+    lon_payload = None
+    try:
+        lat_payload = _get_entity_state(ha_url, ha_token, "sensor.van_last_known_latitude")
+        lon_payload = _get_entity_state(ha_url, ha_token, "sensor.van_last_known_longitude")
+    except httpx.HTTPError:
+        logger.exception("Couldn't fetch van location from Home Assistant right now.")
+        logger.debug(f"{ha_url=} {lat_payload=} {lon_payload=}")
+        signal.reply(message, "Couldn't fetch van location from Home Assistant right now.")
+        return
+
+    latitude = lat_payload.get("state", "")
+    longitude = lon_payload.get("state", "")
+
+    if not latitude or not longitude or latitude == "unavailable" or longitude == "unavailable":
+        signal.reply(message, "Van location is unavailable in Home Assistant right now.")
+        return
+
+    signal.reply(message, _format_location(latitude, longitude))

python/signal_bot/device_registry.py

@@ -0,0 +1,284 @@
+"""Device registry — tracks verified/unverified devices by safety number."""
+
+from __future__ import annotations
+
+import logging
+from datetime import datetime, timedelta
+from typing import TYPE_CHECKING, NamedTuple
+
+from sqlalchemy import delete, select
+from sqlalchemy.orm import Session
+
+from python.common import utcnow
+from python.orm.signal_bot.models import RoleRecord, SignalDevice
+from python.signal_bot.models import Role, TrustLevel
+
+if TYPE_CHECKING:
+    from sqlalchemy.engine import Engine
+
+    from python.signal_bot.signal_client import SignalClient
+
+logger = logging.getLogger(__name__)
+
+_BLOCKED_TTL = timedelta(minutes=60)
+_DEFAULT_TTL = timedelta(minutes=5)
+
+
+class _CacheEntry(NamedTuple):
+    expires: datetime
+    trust_level: TrustLevel
+    has_safety_number: bool
+    safety_number: str | None
+    roles: list[Role]
+
+
+class DeviceRegistry:
+    """Manage device trust based on Signal safety numbers.
+
+    Devices start as UNVERIFIED. An admin verifies them over SSH by calling
+    ``verify(phone_number)`` which marks the device VERIFIED and also tells
+    signal-cli to trust the identity.
+
+    Only VERIFIED devices may execute commands.
+    """
+
+    def __init__(self, signal_client: SignalClient, engine: Engine) -> None:
+        self.signal_client = signal_client
+        self.engine = engine
+        self._contact_cache: dict[str, _CacheEntry] = {}
+
+    def is_verified(self, phone_number: str) -> bool:
+        """Check if a phone number is verified."""
+        if entry := self._cached(phone_number):
+            return entry.trust_level == TrustLevel.VERIFIED
+        device = self._load_device(phone_number)
+        return device is not None and device.trust_level == TrustLevel.VERIFIED
+
+    def record_contact(self, phone_number: str, safety_number: str | None = None) -> None:
+        """Record seeing a device. Creates entry if new, updates last_seen."""
+        now = utcnow()
+
+        entry = self._cached(phone_number)
+        if entry and entry.safety_number == safety_number:
+            return
+
+        with Session(self.engine) as session:
+            device = session.scalars(
+                select(SignalDevice).where(SignalDevice.phone_number == phone_number)
+            ).one_or_none()
+
+            if device:
+                if device.safety_number != safety_number and device.trust_level != TrustLevel.BLOCKED:
+                    logger.warning(f"Safety number changed for {phone_number}, resetting to UNVERIFIED")
+                    device.safety_number = safety_number
+                    device.trust_level = TrustLevel.UNVERIFIED
+                device.last_seen = now
+            else:
+                device = SignalDevice(
+                    phone_number=phone_number,
+                    safety_number=safety_number,
+                    trust_level=TrustLevel.UNVERIFIED,
+                    last_seen=now,
+                )
+                session.add(device)
+                logger.info(f"New device registered: {phone_number}")
+
+            session.commit()
+            self._update_cache(phone_number, device)
+
+    def has_safety_number(self, phone_number: str) -> bool:
+        """Check if a device has a safety number on file."""
+        if entry := self._cached(phone_number):
+            return entry.has_safety_number
+        device = self._load_device(phone_number)
+        return device is not None and device.safety_number is not None
+
+    def verify(self, phone_number: str) -> bool:
+        """Mark a device as verified. Called by admin over SSH.
+
+        Returns True if the device was found and verified.
+        """
+        with Session(self.engine) as session:
+            device = session.scalars(
+                select(SignalDevice).where(SignalDevice.phone_number == phone_number)
+            ).one_or_none()
+
+            if not device:
+                logger.warning(f"Cannot verify unknown device: {phone_number}")
+                return False
+
+            device.trust_level = TrustLevel.VERIFIED
+            self.signal_client.trust_identity(phone_number, trust_all_known_keys=True)
+            session.commit()
+            self._update_cache(phone_number, device)
+            logger.info(f"Device verified: {phone_number}")
+            return True
+
+    def block(self, phone_number: str) -> bool:
+        """Block a device."""
+        return self._set_trust(phone_number, TrustLevel.BLOCKED, "Device blocked")
+
+    def unverify(self, phone_number: str) -> bool:
+        """Reset a device to unverified."""
+        return self._set_trust(phone_number, TrustLevel.UNVERIFIED)
+
+    # -- role management ------------------------------------------------------
+
+    def get_roles(self, phone_number: str) -> list[Role]:
+        """Return the roles for a device, defaulting to empty."""
+        if entry := self._cached(phone_number):
+            return entry.roles
+        device = self._load_device(phone_number)
+        return _extract_roles(device) if device else []
+
+    def has_role(self, phone_number: str, role: Role) -> bool:
+        """Check if a device has a specific role or is admin."""
+        roles = self.get_roles(phone_number)
+        return Role.ADMIN in roles or role in roles
+
+    def grant_role(self, phone_number: str, role: Role) -> bool:
+        """Add a role to a device. Called by admin over SSH."""
+        with Session(self.engine) as session:
+            device = session.scalars(
+                select(SignalDevice).where(SignalDevice.phone_number == phone_number)
+            ).one_or_none()
+
+            if not device:
+                logger.warning(f"Cannot grant role for unknown device: {phone_number}")
+                return False
+
+            if any(record.name == role for record in device.roles):
+                return True
+
+            role_record = session.scalars(select(RoleRecord).where(RoleRecord.name == role)).one_or_none()
+
+            if not role_record:
+                logger.warning(f"Unknown role: {role}")
+                return False
+
+            device.roles.append(role_record)
+            session.commit()
+            self._update_cache(phone_number, device)
+            logger.info(f"Device {phone_number} granted role {role}")
+            return True
+
+    def revoke_role(self, phone_number: str, role: Role) -> bool:
+        """Remove a role from a device. Called by admin over SSH."""
+        with Session(self.engine) as session:
+            device = session.scalars(
+                select(SignalDevice).where(SignalDevice.phone_number == phone_number)
+            ).one_or_none()
+
+            if not device:
+                logger.warning(f"Cannot revoke role for unknown device: {phone_number}")
+                return False
+
+            device.roles = [record for record in device.roles if record.name != role]
+            session.commit()
+            self._update_cache(phone_number, device)
+            logger.info(f"Device {phone_number} revoked role {role}")
+            return True
+
+    def set_roles(self, phone_number: str, roles: list[Role]) -> bool:
+        """Replace all roles for a device. Called by admin over SSH."""
+        with Session(self.engine) as session:
+            device = session.scalars(
+                select(SignalDevice).where(SignalDevice.phone_number == phone_number)
+            ).one_or_none()
+
+            if not device:
+                logger.warning(f"Cannot set roles for unknown device: {phone_number}")
+                return False
+
+            role_names = [str(role) for role in roles]
+            records = session.scalars(select(RoleRecord).where(RoleRecord.name.in_(role_names))).all()
+            device.roles = records
+            session.commit()
+            self._update_cache(phone_number, device)
+            logger.info(f"Device {phone_number} roles set to {role_names}")
+            return True
+
+    # -- queries --------------------------------------------------------------
+
+    def list_devices(self) -> list[SignalDevice]:
+        """Return all known devices."""
+        with Session(self.engine) as session:
+            return list(session.scalars(select(SignalDevice)).all())
+
+    def sync_identities(self) -> None:
+        """Pull identity list from signal-cli and record any new ones."""
+        identities = self.signal_client.get_identities()
+        for identity in identities:
+            number = identity.get("number", "")
+            safety = identity.get("safety_number", identity.get("fingerprint", ""))
+            if number:
+                self.record_contact(number, safety)
+
+    # -- internals ------------------------------------------------------------
+
+    def _cached(self, phone_number: str) -> _CacheEntry | None:
+        """Return the cache entry if it exists and hasn't expired."""
+        entry = self._contact_cache.get(phone_number)
+        if entry and utcnow() < entry.expires:
+            return entry
+        return None
+
+    def _load_device(self, phone_number: str) -> SignalDevice | None:
+        """Fetch a device by phone number (with joined roles)."""
+        with Session(self.engine) as session:
+            return session.scalars(select(SignalDevice).where(SignalDevice.phone_number == phone_number)).one_or_none()
+
+    def _update_cache(self, phone_number: str, device: SignalDevice) -> None:
+        """Refresh the cache entry for a device."""
+        ttl = _BLOCKED_TTL if device.trust_level == TrustLevel.BLOCKED else _DEFAULT_TTL
+        self._contact_cache[phone_number] = _CacheEntry(
+            expires=utcnow() + ttl,
+            trust_level=device.trust_level,
+            has_safety_number=device.safety_number is not None,
+            safety_number=device.safety_number,
+            roles=_extract_roles(device),
+        )
+
+    def _set_trust(self, phone_number: str, level: str, log_msg: str | None = None) -> bool:
+        """Update the trust level for a device."""
+        with Session(self.engine) as session:
+            device = session.scalars(
+                select(SignalDevice).where(SignalDevice.phone_number == phone_number)
+            ).one_or_none()
+
+            if not device:
+                return False
+
+            device.trust_level = level
+            session.commit()
+            self._update_cache(phone_number, device)
+            if log_msg:
+                logger.info(f"{log_msg}: {phone_number}")
+            return True
+
+
+def _extract_roles(device: SignalDevice) -> list[Role]:
+    """Convert a device's RoleRecord objects to a list of Role enums."""
+    return [Role(record.name) for record in device.roles]
+
+
+def sync_roles(engine: Engine) -> None:
+    """Sync the Role enum to the role table, adding new and removing stale entries."""
+    expected = {role.value for role in Role}
+
+    with Session(engine) as session:
+        existing = set(session.scalars(select(RoleRecord.name)).all())
+
+        to_add = expected - existing
+        to_remove = existing - expected
+
+        for name in to_add:
+            session.add(RoleRecord(name=name))
+            logger.info(f"Role added: {name}")
+
+        if to_remove:
+            session.execute(delete(RoleRecord).where(RoleRecord.name.in_(to_remove)))
+            for name in to_remove:
+                logger.info(f"Role removed: {name}")
+
+        session.commit()

python/signal_bot/llm_client.py

@@ -0,0 +1,80 @@
+"""Flexible LLM client for ollama backends."""
+
+from __future__ import annotations
+
+import base64
+import logging
+from typing import Any, Self
+
+import httpx
+
+logger = logging.getLogger(__name__)
+
+
+class LLMClient:
+    """Talk to an ollama instance.
+
+    Args:
+        model: Ollama model name.
+        host: Ollama host.
+        port: Ollama port.
+        temperature: Sampling temperature.
+    """
+
+    def __init__(
+        self,
+        *,
+        model: str,
+        host: str,
+        port: int = 11434,
+        temperature: float = 0.1,
+        timeout: int = 300,
+    ) -> None:
+        self.model = model
+        self.temperature = temperature
+        self._client = httpx.Client(base_url=f"http://{host}:{port}", timeout=timeout)
+
+    def chat(self, prompt: str, image_data: bytes | None = None, system: str | None = None) -> str:
+        """Send a text prompt and return the response."""
+        messages: list[dict[str, Any]] = []
+        if system:
+            messages.append({"role": "system", "content": system})
+
+        user_msg = {"role": "user", "content": prompt}
+        if image_data:
+            user_msg["images"] = [base64.b64encode(image_data).decode()]
+
+        messages.append(user_msg)
+        return self._generate(messages)
+
+    def _generate(self, messages: list[dict[str, Any]]) -> str:
+        """Call the ollama chat API."""
+        payload = {
+            "model": self.model,
+            "messages": messages,
+            "stream": False,
+            "options": {"temperature": self.temperature},
+        }
+        logger.info(f"LLM request to {self.model}")
+        response = self._client.post("/api/chat", json=payload)
+        response.raise_for_status()
+        data = response.json()
+        return data["message"]["content"]
+
+    def list_models(self) -> list[str]:
+        """List available models on the ollama instance."""
+        response = self._client.get("/api/tags")
+        response.raise_for_status()
+        return [m["name"] for m in response.json().get("models", [])]
+
+    def __enter__(self) -> Self:
+        """Enter the context manager."""
+        return self
+
+    def __exit__(self, *args: object) -> None:
+        """Close the HTTP client on exit."""
+        self.close()
+
+    def close(self) -> None:
+        """Close the HTTP client."""
+        self._client.close()

python/signal_bot/main.py

@@ -0,0 +1,239 @@
+"""Signal command and control bot — main entry point."""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass
+from os import getenv
+from typing import TYPE_CHECKING, Annotated
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+import typer
+from alembic.command import upgrade
+from sqlalchemy.orm import Session
+from tenacity import before_sleep_log, retry, stop_after_attempt, wait_exponential
+
+from python.common import configure_logger, utcnow
+from python.database_cli import DATABASES
+from python.orm.common import get_postgres_engine
+from python.orm.signal_bot.models import DeadLetterMessage
+from python.signal_bot.commands.inventory import handle_inventory_update
+from python.signal_bot.commands.location import handle_location_request
+from python.signal_bot.device_registry import DeviceRegistry, sync_roles
+from python.signal_bot.llm_client import LLMClient
+from python.signal_bot.models import BotConfig, MessageStatus, Role, SignalMessage
+from python.signal_bot.signal_client import SignalClient
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass(frozen=True, slots=True)
+class Command:
+    """A registered bot command."""
+
+    action: Callable[[SignalMessage, str], None]
+    help_text: str
+    role: Role | None  # None = no role required (always allowed)
+
+
+class Bot:
+    """Holds shared resources and dispatches incoming messages to command handlers."""
+
+    def __init__(
+        self,
+        signal: SignalClient,
+        llm: LLMClient,
+        registry: DeviceRegistry,
+        config: BotConfig,
+    ) -> None:
+        self.signal = signal
+        self.llm = llm
+        self.registry = registry
+        self.config = config
+        self.commands: dict[str, Command] = {
+            "help": Command(action=self._help, help_text="show this help message", role=None),
+            "status": Command(action=self._status, help_text="show bot status", role=Role.STATUS),
+            "inventory": Command(
+                action=self._inventory,
+                help_text="update van inventory from a text list or receipt photo",
+                role=Role.INVENTORY,
+            ),
+            "location": Command(
+                action=self._location,
+                help_text="get current van location",
+                role=Role.LOCATION,
+            ),
+        }
+
+    # -- actions --------------------------------------------------------------
+
+    def _help(self, message: SignalMessage, _cmd: str) -> None:
+        """Return help text filtered to the sender's roles."""
+        self.signal.reply(message, self._build_help(self.registry.get_roles(message.source)))
+
+    def _status(self, message: SignalMessage, _cmd: str) -> None:
+        """Return the status of the bot."""
+        models = self.llm.list_models()
+        model_list = ", ".join(models[:10])
+        device_count = len(self.registry.list_devices())
+        self.signal.reply(
+            message,
+            f"Bot online.\nLLM: {self.llm.model}\nAvailable models: {model_list}\nKnown devices: {device_count}",
+        )
+
+    def _inventory(self, message: SignalMessage, _cmd: str) -> None:
+        """Process an inventory update."""
+        handle_inventory_update(message, self.signal, self.llm, self.config.inventory_api_url)
+
+    def _location(self, message: SignalMessage, _cmd: str) -> None:
+        """Reply with current van location."""
+        handle_location_request(message, self.signal, self.config.ha_url, self.config.ha_token)
+
+    # -- dispatch -------------------------------------------------------------
+
+    def _build_help(self, roles: list[Role]) -> str:
+        """Build help text showing only the commands the user can access."""
+        is_admin = Role.ADMIN in roles
+        lines = ["Available commands:"]
+        for name, cmd in self.commands.items():
+            if cmd.role is None or is_admin or cmd.role in roles:
+                lines.append(f"  {name:20s} — {cmd.help_text}")
+        return "\n".join(lines)
+
+    def dispatch(self, message: SignalMessage) -> None:
+        """Route an incoming message to the right command handler."""
+        source = message.source
+
+        if not self.registry.is_verified(source):
+            logger.info(f"Device {source} not verified, ignoring message")
+            return
+
+        if not self.registry.has_safety_number(source) and self.registry.has_role(source, Role.ADMIN):
+            logger.warning(f"Admin device {source} missing safety number, ignoring message")
+            return
+
+        text = message.message.strip()
+        parts = text.split()
+
+        if not parts and not message.attachments:
+            return
+
+        cmd = parts[0].lower() if parts else ""
+
+        logger.info(f"f{source=} running {cmd=} with {message=}")
+
+        command = self.commands.get(cmd)
+        if command is None:
+            if message.attachments:
+                command = self.commands["inventory"]
+                cmd = "inventory"
+            else:
+                return
+
+        if command.role is not None and not self.registry.has_role(source, command.role):
+            logger.warning(f"Device {source} denied access to {cmd!r}")
+            self.signal.reply(message, f"Permission denied: you do not have the '{command.role}' role.")
+            return
+
+        command.action(message, cmd)
+
+    def process_message(self, message: SignalMessage) -> None:
+        """Process a single message, sending it to the dead letter queue after repeated failures."""
+        max_attempts = self.config.max_message_attempts
+        for attempt in range(1, max_attempts + 1):
+            try:
+                safety_number = self.signal.get_safety_number(message.source)
+                self.registry.record_contact(message.source, safety_number)
+                self.dispatch(message)
+            except Exception:
+                logger.exception(f"Failed to process message (attempt {attempt}/{max_attempts})")
+            else:
+                return
+
+        logger.error(f"Message from {message.source} failed {max_attempts} times, sending to dead letter queue")
+        with Session(self.config.engine) as session:
+            session.add(
+                DeadLetterMessage(
+                    source=message.source,
+                    message=message.message,
+                    received_at=utcnow(),
+                    status=MessageStatus.UNPROCESSED,
+                )
+            )
+            session.commit()
+
+    def run(self) -> None:
+        """Listen for messages via WebSocket, reconnecting on failure."""
+        logger.info("Bot started — listening via WebSocket")
+
+        @retry(
+            stop=stop_after_attempt(self.config.max_retries),
+            wait=wait_exponential(multiplier=self.config.reconnect_delay, max=self.config.max_reconnect_delay),
+            before_sleep=before_sleep_log(logger, logging.WARNING),
+            reraise=True,
+        )
+        def _listen() -> None:
+            for message in self.signal.listen():
+                logger.info(f"Message from {message.source}: {message.message[:80]}")
+                self.process_message(message)
+
+        try:
+            _listen()
+        except Exception:
+            logger.critical("Max retries exceeded, shutting down")
+            raise
+
+
+def main(
+    log_level: Annotated[str, typer.Option()] = "DEBUG",
+    llm_timeout: Annotated[int, typer.Option()] = 600,
+) -> None:
+    """Run the Signal command and control bot."""
+    configure_logger(log_level)
+    signal_api_url = getenv("SIGNAL_API_URL")
+    phone_number = getenv("SIGNAL_PHONE_NUMBER")
+    inventory_api_url = getenv("INVENTORY_API_URL")
+
+    if signal_api_url is None:
+        error = "SIGNAL_API_URL environment variable not set"
+        raise ValueError(error)
+    if phone_number is None:
+        error = "SIGNAL_PHONE_NUMBER environment variable not set"
+        raise ValueError(error)
+    if inventory_api_url is None:
+        error = "INVENTORY_API_URL environment variable not set"
+        raise ValueError(error)
+
+    signal_bot_config = DATABASES["signal_bot"].alembic_config()
+    upgrade(signal_bot_config, "head")
+    engine = get_postgres_engine(name="SIGNALBOT")
+    sync_roles(engine)
+    config = BotConfig(
+        signal_api_url=signal_api_url,
+        phone_number=phone_number,
+        inventory_api_url=inventory_api_url,
+        ha_url=getenv("HA_URL"),
+        ha_token=getenv("HA_TOKEN"),
+        engine=engine,
+    )
+
+    llm_host = getenv("LLM_HOST")
+    llm_model = getenv("LLM_MODEL", "qwen3-vl:32b")
+    llm_port = int(getenv("LLM_PORT", "11434"))
+    if llm_host is None:
+        error = "LLM_HOST environment variable not set"
+        raise ValueError(error)
+
+    with (
+        SignalClient(config.signal_api_url, config.phone_number) as signal,
+        LLMClient(model=llm_model, host=llm_host, port=llm_port, timeout=llm_timeout) as llm,
+    ):
+        registry = DeviceRegistry(signal, engine)
+        bot = Bot(signal, llm, registry, config)
+        bot.run()
+
+
+if __name__ == "__main__":
+    typer.run(main)

python/signal_bot/models.py

@@ -0,0 +1,97 @@
+"""Models for the Signal command and control bot."""
+
+from __future__ import annotations
+
+from datetime import datetime  # noqa: TC003 - pydantic needs this at runtime
+from enum import StrEnum
+from typing import Any
+
+from pydantic import BaseModel, ConfigDict
+from sqlalchemy.engine import Engine  # noqa: TC002 - pydantic needs this at runtime
+
+
+class TrustLevel(StrEnum):
+    """Device trust level."""
+
+    VERIFIED = "verified"
+    UNVERIFIED = "unverified"
+    BLOCKED = "blocked"
+
+
+class Role(StrEnum):
+    """RBAC roles — one per command, plus admin which grants all."""
+
+    ADMIN = "admin"
+    STATUS = "status"
+    INVENTORY = "inventory"
+    LOCATION = "location"
+
+
+class MessageStatus(StrEnum):
+    """Dead letter queue message status."""
+
+    UNPROCESSED = "unprocessed"
+    PROCESSED = "processed"
+
+
+class Device(BaseModel):
+    """A registered device tracked by safety number."""
+
+    phone_number: str
+    safety_number: str
+    trust_level: TrustLevel = TrustLevel.UNVERIFIED
+    first_seen: datetime
+    last_seen: datetime
+
+
+class SignalMessage(BaseModel):
+    """An incoming Signal message."""
+
+    source: str
+    timestamp: int
+    message: str = ""
+    attachments: list[str] = []
+    group_id: str | None = None
+    is_receipt: bool = False
+
+
+class SignalEnvelope(BaseModel):
+    """Raw envelope from signal-cli-rest-api."""
+
+    envelope: dict[str, Any]
+    account: str | None = None
+
+
+class InventoryItem(BaseModel):
+    """An item in the van inventory."""
+
+    name: str
+    quantity: float = 1
+    unit: str = "each"
+    category: str = ""
+    notes: str = ""
+
+
+class InventoryUpdate(BaseModel):
+    """Result of processing an inventory update."""
+
+    items: list[InventoryItem] = []
+    raw_response: str = ""
+    source_type: str = ""  # "receipt_photo" or "text_list"
+
+
+class BotConfig(BaseModel):
+    """Top-level bot configuration."""
+
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    signal_api_url: str
+    phone_number: str
+    inventory_api_url: str
+    ha_url: str | None = None
+    ha_token: str | None = None
+    engine: Engine
+    reconnect_delay: int = 5
+    max_reconnect_delay: int = 300
+    max_retries: int = 10
+    max_message_attempts: int = 3

python/signal_bot/signal_client.py

@@ -0,0 +1,141 @@
+"""Client for the signal-cli-rest-api."""
+
+from __future__ import annotations
+
+import json
+import logging
+from typing import TYPE_CHECKING, Any, Self
+
+import httpx
+import websockets.sync.client
+
+if TYPE_CHECKING:
+    from collections.abc import Generator
+
+from python.signal_bot.models import SignalMessage
+
+logger = logging.getLogger(__name__)
+
+
+def _parse_envelope(envelope: dict[str, Any]) -> SignalMessage | None:
+    """Parse a signal-cli envelope into a SignalMessage, or None if not a data message."""
+    data_message = envelope.get("dataMessage")
+    if not data_message:
+        return None
+
+    attachment_ids = [att["id"] for att in data_message.get("attachments", []) if "id" in att]
+
+    group_info = data_message.get("groupInfo")
+    group_id = group_info.get("groupId") if group_info else None
+
+    return SignalMessage(
+        source=envelope.get("source", ""),
+        timestamp=envelope.get("timestamp", 0),
+        message=data_message.get("message", "") or "",
+        attachments=attachment_ids,
+        group_id=group_id,
+    )
+
+
+class SignalClient:
+    """Communicate with signal-cli-rest-api.
+
+    Args:
+        base_url: URL of the signal-cli-rest-api (e.g. http://localhost:8989).
+        phone_number: The registered phone number to send/receive as.
+    """
+
+    def __init__(self, base_url: str, phone_number: str) -> None:
+        self.base_url = base_url.rstrip("/")
+        self.phone_number = phone_number
+        self._client = httpx.Client(base_url=self.base_url, timeout=30)
+
+    def _ws_url(self) -> str:
+        """Build the WebSocket URL from the base HTTP URL."""
+        url = self.base_url.replace("http://", "ws://").replace("https://", "wss://")
+        return f"{url}/v1/receive/{self.phone_number}"
+
+    def listen(self) -> Generator[SignalMessage]:
+        """Connect via WebSocket and yield messages as they arrive."""
+        ws_url = self._ws_url()
+        logger.info(f"Connecting to WebSocket: {ws_url}")
+
+        with websockets.sync.client.connect(ws_url) as ws:
+            for raw in ws:
+                try:
+                    data = json.loads(raw)
+                    envelope = data.get("envelope", {})
+                    message = _parse_envelope(envelope)
+                    if message:
+                        yield message
+                except json.JSONDecodeError:
+                    logger.warning(f"Non-JSON WebSocket frame: {raw[:200]}")
+
+    def send(self, recipient: str, message: str) -> None:
+        """Send a text message."""
+        payload = {
+            "message": message,
+            "number": self.phone_number,
+            "recipients": [recipient],
+        }
+        response = self._client.post("/v2/send", json=payload)
+        response.raise_for_status()
+
+    def send_to_group(self, group_id: str, message: str) -> None:
+        """Send a message to a group."""
+        payload = {
+            "message": message,
+            "number": self.phone_number,
+            "recipients": [group_id],
+        }
+        response = self._client.post("/v2/send", json=payload)
+        response.raise_for_status()
+
+    def get_attachment(self, attachment_id: str) -> bytes:
+        """Download an attachment by ID."""
+        response = self._client.get(f"/v1/attachments/{attachment_id}")
+        response.raise_for_status()
+        return response.content
+
+    def get_identities(self) -> list[dict[str, Any]]:
+        """List known identities and their trust levels."""
+        response = self._client.get(f"/v1/identities/{self.phone_number}")
+        response.raise_for_status()
+        return response.json()
+
+    def get_safety_number(self, phone_number: str) -> str | None:
+        """Look up the safety number for a contact from signal-cli's local store."""
+        for identity in self.get_identities():
+            if identity.get("number") == phone_number:
+                return identity.get("safety_number", identity.get("fingerprint", ""))
+        return None
+
+    def trust_identity(self, number_to_trust: str, *, trust_all_known_keys: bool = False) -> None:
+        """Trust an identity (verify safety number)."""
+        payload: dict[str, Any] = {}
+        if trust_all_known_keys:
+            payload["trust_all_known_keys"] = True
+        response = self._client.put(
+            f"/v1/identities/{self.phone_number}/trust/{number_to_trust}",
+            json=payload,
+        )
+        response.raise_for_status()
+
+    def reply(self, message: SignalMessage, text: str) -> None:
+        """Reply to a message, routing to group or individual."""
+        if message.group_id:
+            self.send_to_group(message.group_id, text)
+        else:
+            self.send(message.source, text)
+
+    def __enter__(self) -> Self:
+        """Enter the context manager."""
+        return self
+
+    def __exit__(self, *args: object) -> None:
+        """Close the HTTP client on exit."""
+        self.close()
+
+    def close(self) -> None:
+        """Close the HTTP client."""
+        self._client.close()

python/splendor/.gitignore

@@ -0,0 +1 @@
+game_data/

python/splendor/__init__.py

@@ -0,0 +1 @@
+"""init."""

python/splendor/base.py

@@ -0,0 +1,675 @@
+"""Base logic for the Splendor game."""
+
+from __future__ import annotations
+
+import itertools
+import json
+import random
+from dataclasses import dataclass, field
+from typing import TYPE_CHECKING, Literal, Protocol
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+    from pathlib import Path
+
+GemColor = Literal["white", "blue", "green", "red", "black", "gold"]
+
+GEM_COLORS: tuple[GemColor, ...] = (
+    "white",
+    "blue",
+    "green",
+    "red",
+    "black",
+    "gold",
+)
+BASE_COLORS: tuple[GemColor, ...] = (
+    "white",
+    "blue",
+    "green",
+    "red",
+    "black",
+)
+
+GEM_ORDER: list[GemColor] = list(GEM_COLORS)
+GEM_INDEX: dict[GemColor, int] = {c: i for i, c in enumerate(GEM_ORDER)}
+BASE_INDEX: dict[GemColor, int] = {c: i for i, c in enumerate(BASE_COLORS)}
+
+
+@dataclass(frozen=True)
+class Card:
+    """Development card: gives points + a permanent gem discount."""
+
+    tier: int
+    points: int
+    color: GemColor
+    cost: dict[GemColor, int]
+
+
+@dataclass(frozen=True)
+class Noble:
+    """Noble tile: gives points if you have enough bonuses."""
+
+    name: str
+    points: int
+    requirements: dict[GemColor, int]
+
+
+@dataclass
+class PlayerState:
+    """State of a player in the game."""
+
+    strategy: Strategy
+    tokens: dict[GemColor, int] = field(default_factory=lambda: dict.fromkeys(GEM_COLORS, 0))
+    discounts: dict[GemColor, int] = field(default_factory=lambda: dict.fromkeys(GEM_COLORS, 0))
+    cards: list[Card] = field(default_factory=list)
+    reserved: list[Card] = field(default_factory=list)
+    nobles: list[Noble] = field(default_factory=list)
+    card_score: int = 0
+    noble_score: int = 0
+
+    def total_tokens(self) -> int:
+        """Total tokens in player's bank."""
+        return sum(self.tokens.values())
+
+    def add_noble(self, noble: Noble) -> None:
+        """Add a noble to the player."""
+        self.nobles.append(noble)
+        self.noble_score = sum(noble.points for noble in self.nobles)
+
+    def add_card(self, card: Card) -> None:
+        """Add a card to the player."""
+        self.cards.append(card)
+        self.card_score = sum(card.points for card in self.cards)
+
+    @property
+    def score(self) -> int:
+        """Total points in player's cards + nobles."""
+        return self.card_score + self.noble_score
+
+    def can_afford(self, card: Card) -> bool:
+        """Check if player can afford card, using discounts + gold."""
+        missing = 0
+        gold = self.tokens["gold"]
+
+        for color, cost in card.cost.items():
+            missing += max(0, cost - self.discounts.get(color, 0) - self.tokens.get(color, 0))
+            if missing > gold:
+                return False
+
+        return True
+
+    def pay_for_card(self, card: Card) -> dict[GemColor, int]:
+        """Pay tokens for card, move card to tableau, return payment for bank."""
+        if not self.can_afford(card):
+            msg = f"cannot afford card {card}"
+            raise ValueError(msg)
+
+        payment: dict[GemColor, int] = dict.fromkeys(GEM_COLORS, 0)
+        gold_available = self.tokens["gold"]
+
+        for color in BASE_COLORS:
+            cost = card.cost.get(color, 0)
+            effective_cost = max(0, cost - self.discounts.get(color, 0))
+
+            use = min(self.tokens[color], effective_cost)
+            self.tokens[color] -= use
+            payment[color] += use
+
+            remaining = effective_cost - use
+            if remaining > 0:
+                use_gold = min(gold_available, remaining)
+                gold_available -= use_gold
+                self.tokens["gold"] -= use_gold
+                payment["gold"] += use_gold
+
+        self.add_card(card)
+        self.discounts[card.color] += 1
+        return payment
+
+
+def get_default_starting_tokens(player_count: int) -> dict[GemColor, int]:
+    """get_default_starting_tokens."""
+    token_count = (player_count * player_count - 3 * player_count + 10) // 2
+    return {
+        "white": token_count,
+        "blue": token_count,
+        "green": token_count,
+        "red": token_count,
+        "black": token_count,
+        "gold": 5,
+    }
+
+
+@dataclass
+class GameConfig:
+    """Game configuration: gems, bank, cards, nobles, etc."""
+
+    win_score: int = 15
+    table_cards_per_tier: int = 4
+    reserve_limit: int = 3
+    token_limit: int = 10
+    turn_limit: int = 1000
+    minimum_tokens_to_buy_2: int = 4
+    max_token_take: int = 3
+
+    cards: list[Card] = field(default_factory=list)
+    nobles: list[Noble] = field(default_factory=list)
+
+
+class GameState:
+    """Game state: players, bank, decks, table, available nobles, etc."""
+
+    def __init__(
+        self,
+        config: GameConfig,
+        players: list[PlayerState],
+        bank: dict[GemColor, int],
+        decks_by_tier: dict[int, list[Card]],
+        table_by_tier: dict[int, list[Card]],
+        available_nobles: list[Noble],
+    ) -> None:
+        """Game state."""
+        self.config = config
+        self.players = players
+        self.bank = bank
+        self.decks_by_tier = decks_by_tier
+        self.table_by_tier = table_by_tier
+        self.available_nobles = available_nobles
+        self.noble_min_requirements = 0
+        self.get_noble_min_requirements()
+        self.current_player_index = 0
+        self.finished = False
+
+    def get_noble_min_requirements(self) -> None:
+        """Find the minimum requirement for all available nobles."""
+        test = 0
+
+        for noble in self.available_nobles:
+            test = max(test, min(foo for foo in noble.requirements.values()))
+
+        self.noble_min_requirements = test
+
+    def next_player(self) -> None:
+        """Advance to the next player."""
+        self.current_player_index = (self.current_player_index + 1) % len(self.players)
+
+    @property
+    def current_player(self) -> PlayerState:
+        """Current player."""
+        return self.players[self.current_player_index]
+
+    def refill_table(self) -> None:
+        """Refill face-up cards from decks."""
+        for tier, deck in self.decks_by_tier.items():
+            table = self.table_by_tier[tier]
+            while len(table) < self.config.table_cards_per_tier and deck:
+                table.append(deck.pop())
+
+    def check_winner_simple(self) -> PlayerState | None:
+        """Simplified: end immediately when someone hits win_score."""
+        eligible = [player for player in self.players if player.score >= self.config.win_score]
+        if not eligible:
+            return None
+        eligible.sort(
+            key=lambda p: (p.score, -len(p.cards)),
+            reverse=True,
+        )
+        self.finished = True
+        return eligible[0]
+
+
+class Action:
+    """Marker protocol for actions."""
+
+
+@dataclass
+class TakeDifferent(Action):
+    """Take up to 3 different gem colors."""
+
+    colors: list[GemColor]
+
+
+@dataclass
+class TakeDouble(Action):
+    """Take two of the same color."""
+
+    color: GemColor
+
+
+@dataclass
+class BuyCard(Action):
+    """Buy a face-up card."""
+
+    tier: int
+    index: int
+
+
+@dataclass
+class BuyCardReserved(Action):
+    """Buy a face-up card."""
+
+    index: int
+
+
+@dataclass
+class ReserveCard(Action):
+    """Reserve a face-up card."""
+
+    tier: int
+    index: int | None = None
+    from_deck: bool = False
+
+
+class Strategy(Protocol):
+    """Implement this to make a bot or human controller."""
+
+    def __init__(self, name: str) -> None:
+        """Initialize a strategy."""
+        self.name = name
+
+    def choose_action(self, game: GameState, player: PlayerState) -> Action | None:
+        """Return an Action, or None to concede/end."""
+        raise NotImplementedError
+
+    def choose_discard(
+        self,
+        game: GameState,  # noqa: ARG002
+        player: PlayerState,
+        excess: int,
+    ) -> dict[GemColor, int]:
+        """Called if player has more than token_limit tokens after an action.
+
+        Default: naive auto-discard.
+        """
+        return auto_discard_tokens(player, excess)
+
+    def choose_noble(
+        self,
+        game: GameState,  # noqa: ARG002
+        player: PlayerState,  # noqa: ARG002
+        nobles: list[Noble],
+    ) -> Noble:
+        """Called if player qualifies for multiple nobles. Default: first."""
+        return nobles[0]
+
+
+def auto_discard_tokens(player: PlayerState, excess: int) -> dict[GemColor, int]:
+    """Very dumb discard logic: discard from colors you have the most of."""
+    to_discard: dict[GemColor, int] = dict.fromkeys(GEM_COLORS, 0)
+    remaining = excess
+    while remaining > 0:
+        color = max(player.tokens, key=lambda c: player.tokens[c])
+        if player.tokens[color] == 0:
+            break
+        player.tokens[color] -= 1
+        to_discard[color] += 1
+        remaining -= 1
+    return to_discard
+
+
+def enforce_token_limit(
+    game: GameState,
+    strategy: Strategy,
+    player: PlayerState,
+) -> None:
+    """If player has more than token_limit tokens, force discards."""
+    limit = game.config.token_limit
+    total = player.total_tokens()
+    if total <= limit:
+        return
+    excess = total - limit
+    discards = strategy.choose_discard(game, player, excess)
+    for color, amount in discards.items():
+        available = player.tokens[color]
+        to_remove = min(amount, available)
+        if to_remove <= 0:
+            continue
+        player.tokens[color] -= to_remove
+        game.bank[color] += to_remove
+    remaining = player.total_tokens() - limit
+    if remaining > 0:
+        auto = auto_discard_tokens(player, remaining)
+        for color, amount in auto.items():
+            game.bank[color] += amount
+
+
+def _check_nobles_for_player(player: PlayerState, noble: Noble) -> bool:
+    # this rule is slower
+    for color, cost in noble.requirements.items():  # noqa: SIM110
+        if player.discounts[color] < cost:
+            return False
+    return True
+
+
+def check_nobles_for_player(
+    game: GameState,
+    strategy: Strategy,
+    player: PlayerState,
+) -> None:
+    """Award at most one noble to player if they qualify."""
+    if game.noble_min_requirements > max(player.discounts.values()):
+        return
+
+    candidates = [noble for noble in game.available_nobles if _check_nobles_for_player(player, noble)]
+
+    if not candidates:
+        return
+
+    chosen = candidates[0] if len(candidates) == 1 else strategy.choose_noble(game, player, candidates)
+
+    if chosen not in game.available_nobles:
+        return
+    game.available_nobles.remove(chosen)
+    game.get_noble_min_requirements()
+
+    player.add_noble(chosen)
+
+
+def apply_take_different(game: GameState, strategy: Strategy, action: TakeDifferent) -> None:
+    """Mutate game state according to action."""
+    player = game.current_player
+
+    colors = [color for color in action.colors if color in BASE_COLORS and game.bank[color] > 0]
+    if not (1 <= len(colors) <= game.config.max_token_take):
+        return
+
+    for color in colors:
+        game.bank[color] -= 1
+        player.tokens[color] += 1
+
+    enforce_token_limit(game, strategy, player)
+
+
+def apply_take_double(game: GameState, strategy: Strategy, action: TakeDouble) -> None:
+    """Mutate game state according to action."""
+    player = game.current_player
+    color = action.color
+    if color not in BASE_COLORS:
+        return
+    if game.bank[color] < game.config.minimum_tokens_to_buy_2:
+        return
+    game.bank[color] -= 2
+    player.tokens[color] += 2
+    enforce_token_limit(game, strategy, player)
+
+
+def apply_buy_card(game: GameState, _strategy: Strategy, action: BuyCard) -> None:
+    """Mutate game state according to action."""
+    player = game.current_player
+
+    row = game.table_by_tier.get(action.tier)
+    if row is None or not (0 <= action.index < len(row)):
+        return
+    card = row[action.index]
+    if not player.can_afford(card):
+        return
+    row.pop(action.index)
+    payment = player.pay_for_card(card)
+    for color, amount in payment.items():
+        game.bank[color] += amount
+    game.refill_table()
+
+
+def apply_buy_card_reserved(game: GameState, _strategy: Strategy, action: BuyCardReserved) -> None:
+    """Mutate game state according to action."""
+    player = game.current_player
+    if not (0 <= action.index < len(player.reserved)):
+        return
+    card = player.reserved[action.index]
+    if not player.can_afford(card):
+        return
+    player.reserved.pop(action.index)
+    payment = player.pay_for_card(card)
+    for color, amount in payment.items():
+        game.bank[color] += amount
+
+
+def apply_reserve_card(game: GameState, strategy: Strategy, action: ReserveCard) -> None:
+    """Mutate game state according to action."""
+    player = game.current_player
+
+    if len(player.reserved) >= game.config.reserve_limit:
+        return
+
+    card: Card | None = None
+    if action.from_deck:
+        deck = game.decks_by_tier.get(action.tier)
+        if deck:
+            card = deck.pop()
+    else:
+        row = game.table_by_tier.get(action.tier)
+        if row is None:
+            return
+        if action.index is None or not (0 <= action.index < len(row)):
+            return
+        card = row.pop(action.index)
+        game.refill_table()
+
+    if card is None:
+        return
+    player.reserved.append(card)
+
+    if game.bank["gold"] > 0:
+        game.bank["gold"] -= 1
+        player.tokens["gold"] += 1
+        enforce_token_limit(game, strategy, player)
+
+
+def apply_action(game: GameState, strategy: Strategy, action: Action) -> None:
+    """Mutate game state according to action."""
+    actions = {
+        TakeDifferent: apply_take_different,
+        TakeDouble: apply_take_double,
+        BuyCard: apply_buy_card,
+        ReserveCard: apply_reserve_card,
+        BuyCardReserved: apply_buy_card_reserved,
+    }
+    action_func = actions.get(type(action))
+    if action_func is None:
+        msg = f"Unknown action type: {type(action)}"
+        raise ValueError(msg)
+    action_func(game, strategy, action)
+
+
+# not sure how to simplify this yet
+def get_legal_actions(  # noqa: C901
+    game: GameState,
+    player: PlayerState | None = None,
+) -> list[Action]:
+    """Enumerate all syntactically legal actions for the given player.
+
+    This enforces:
+    - token-taking rules
+    - reserve limits
+    - affordability for buys
+    """
+    if player is None:
+        player = game.players[game.current_player_index]
+
+    actions: list[Action] = []
+
+    colors_available = [c for c in BASE_COLORS if game.bank[c] > 0]
+    for r in (1, 2, 3):
+        actions.extend(TakeDifferent(colors=list(combo)) for combo in itertools.combinations(colors_available, r))
+
+    actions.extend(
+        TakeDouble(color=color) for color in BASE_COLORS if game.bank[color] >= game.config.minimum_tokens_to_buy_2
+    )
+
+    for tier, row in game.table_by_tier.items():
+        for idx, card in enumerate(row):
+            if player.can_afford(card):
+                actions.append(BuyCard(tier=tier, index=idx))
+
+    for idx, card in enumerate(player.reserved):
+        if player.can_afford(card):
+            actions.append(BuyCardReserved(index=idx))
+
+    if len(player.reserved) < game.config.reserve_limit:
+        for tier, row in game.table_by_tier.items():
+            for idx, _ in enumerate(row):
+                actions.append(
+                    ReserveCard(tier=tier, index=idx, from_deck=False),
+                )
+        for tier, deck in game.decks_by_tier.items():
+            if deck:
+                actions.append(
+                    ReserveCard(tier=tier, index=None, from_deck=True),
+                )
+
+    return actions
+
+
+def create_random_cards_tier(
+    tier: int,
+    card_count: int,
+    cost_choices: list[int],
+    point_choices: list[int],
+) -> list[Card]:
+    """Create a random set of cards for a given tier."""
+    cards: list[Card] = []
+
+    for color in BASE_COLORS:
+        for _ in range(card_count):
+            cost = dict.fromkeys(GEM_COLORS, 0)
+            for c in BASE_COLORS:
+                if c == color:
+                    continue
+                cost[c] = random.choice(cost_choices)
+            points = random.choice(point_choices)
+            cards.append(Card(tier=tier, points=points, color=color, cost=cost))
+
+    return cards
+
+
+def create_random_cards() -> list[Card]:
+    """Generate a generic but Splendor-ish set of cards.
+
+    This is not the official deck, but structured similarly enough for play.
+    """
+    cards: list[Card] = []
+    cards.extend(
+        create_random_cards_tier(
+            tier=1,
+            card_count=5,
+            cost_choices=[0, 1, 1, 2],
+            point_choices=[0, 0, 1],
+        )
+    )
+    cards.extend(
+        create_random_cards_tier(
+            tier=2,
+            card_count=4,
+            cost_choices=[2, 3, 4],
+            point_choices=[1, 2, 2, 3],
+        )
+    )
+    cards.extend(
+        create_random_cards_tier(
+            tier=3,
+            card_count=3,
+            cost_choices=[4, 5, 6],
+            point_choices=[3, 4, 5],
+        )
+    )
+
+    random.shuffle(cards)
+    return cards
+
+
+def create_random_nobles() -> list[Noble]:
+    """A small set of noble tiles, roughly Splendor-ish."""
+    nobles: list[Noble] = []
+
+    base_requirements: list[dict[GemColor, int]] = [
+        {"white": 3, "blue": 3, "green": 3},
+        {"blue": 3, "green": 3, "red": 3},
+        {"green": 3, "red": 3, "black": 3},
+        {"red": 3, "black": 3, "white": 3},
+        {"black": 3, "white": 3, "blue": 3},
+        {"white": 4, "blue": 4},
+        {"green": 4, "red": 4},
+        {"blue": 4, "black": 4},
+    ]
+
+    for idx, req in enumerate(base_requirements, start=1):
+        nobles.append(
+            Noble(
+                name=f"Noble {idx}",
+                points=3,
+                requirements=dict(req.items()),
+            ),
+        )
+    return nobles
+
+
+def load_nobles(file: Path) -> list[Noble]:
+    """Load nobles from a file."""
+    nobles = json.loads(file.read_text())
+    return [Noble(**noble) for noble in nobles]
+
+
+def load_cards(file: Path) -> list[Card]:
+    """Load cards from a file."""
+    cards = json.loads(file.read_text())
+    return [Card(**card) for card in cards]
+
+
+def new_game(
+    strategies: Sequence[Strategy],
+    config: GameConfig,
+) -> GameState:
+    """Create a new game state from a config + list of players."""
+    num_players = len(strategies)
+    bank = get_default_starting_tokens(num_players)
+
+    decks_by_tier: dict[int, list[Card]] = {1: [], 2: [], 3: []}
+    for card in config.cards:
+        decks_by_tier.setdefault(card.tier, []).append(card)
+    for deck in decks_by_tier.values():
+        random.shuffle(deck)
+
+    table_by_tier: dict[int, list[Card]] = {1: [], 2: [], 3: []}
+    players = [PlayerState(strategy=strategy) for strategy in strategies]
+
+    nobles = list(config.nobles)
+    random.shuffle(nobles)
+    nobles = nobles[: num_players + 1]
+
+    game = GameState(
+        config=config,
+        players=players,
+        bank=bank,
+        decks_by_tier=decks_by_tier,
+        table_by_tier=table_by_tier,
+        available_nobles=nobles,
+    )
+    game.refill_table()
+    return game
+
+
+def run_game(game: GameState) -> tuple[PlayerState, int]:
+    """Run a full game loop until someone wins or a player returns None."""
+    turn_count = 0
+    while not game.finished:
+        turn_count += 1
+        player = game.current_player
+        strategy = player.strategy
+        action = strategy.choose_action(game, player)
+        if action is None:
+            game.finished = True
+            break
+
+        apply_action(game, strategy, action)
+        check_nobles_for_player(game, strategy, player)
+
+        winner = game.check_winner_simple()
+        if winner is not None:
+            return winner, turn_count
+
+        game.next_player()
+        if turn_count >= game.config.turn_limit:
+            break
+
+    fallback = max(game.players, key=lambda player: player.score)
+    return fallback, turn_count

python/splendor/bot.py

@@ -0,0 +1,288 @@
+"""Bot for Splendor game."""
+
+from __future__ import annotations
+
+import random
+
+from .base import (
+    BASE_COLORS,
+    Action,
+    BuyCard,
+    BuyCardReserved,
+    Card,
+    GameState,
+    GemColor,
+    PlayerState,
+    ReserveCard,
+    Strategy,
+    TakeDifferent,
+    TakeDouble,
+    auto_discard_tokens,
+    get_legal_actions,
+)
+
+
+def can_bot_afford(player: PlayerState, card: Card) -> bool:
+    """Check if player can afford card, using discounts + gold."""
+    missing = 0
+    gold = player.tokens["gold"]
+    for color, cost in card.cost.items():
+        missing += max(0, cost - player.discounts.get(color, 0) - player.tokens.get(color, 0))
+        if missing > gold:
+            return False
+
+    return True
+
+
+class RandomBot(Strategy):
+    """Dumb bot that follows rules but doesn't think."""
+
+    def __init__(self, name: str) -> None:
+        """Initialize the bot."""
+        super().__init__(name=name)
+
+    def choose_action(self, game: GameState, player: PlayerState) -> Action | None:
+        """Choose an action for the current player."""
+        affordable: list[tuple[int, int]] = []
+        for tier, row in game.table_by_tier.items():
+            for idx, card in enumerate(row):
+                if can_bot_afford(player, card):
+                    affordable.append((tier, idx))
+        if affordable and random.random() < 0.5:
+            tier, idx = random.choice(affordable)
+            return BuyCard(tier=tier, index=idx)
+
+        if random.random() < 0.2:
+            tier = random.choice([1, 2, 3])
+            row = game.table_by_tier.get(tier, [])
+            if row:
+                idx = random.randrange(len(row))
+                return ReserveCard(tier=tier, index=idx, from_deck=False)
+
+        if random.random() < 0.5:
+            colors_for_double = [c for c in BASE_COLORS if game.bank[c] >= 4]
+            if colors_for_double:
+                return TakeDouble(color=random.choice(colors_for_double))
+
+        colors_for_diff = [c for c in BASE_COLORS if game.bank[c] > 0]
+        random.shuffle(colors_for_diff)
+        return TakeDifferent(colors=colors_for_diff[:3])
+
+    def choose_discard(
+        self,
+        game: GameState,  # noqa: ARG002
+        player: PlayerState,
+        excess: int,
+    ) -> dict[GemColor, int]:
+        """Choose how many tokens to discard."""
+        return auto_discard_tokens(player, excess)
+
+
+def check_cards_in_tier(row: list[Card], player: PlayerState) -> list[int]:
+    """Check if player can afford card, using discounts + gold."""
+    return [index for index, card in enumerate(row) if can_bot_afford(player, card)]
+
+
+class PersonalizedBot(Strategy):
+    """PersonalizedBot."""
+
+    """Dumb bot that follows rules but doesn't think."""
+
+    def __init__(self, name: str) -> None:
+        """Initialize the bot."""
+        super().__init__(name=name)
+
+    def choose_action(self, game: GameState, player: PlayerState) -> Action | None:
+        """Choose an action for the current player."""
+        for tier in (1, 2, 3):
+            row = game.table_by_tier[tier]
+            if affordable := check_cards_in_tier(row, player):
+                index = random.choice(affordable)
+                return BuyCard(tier=tier, index=index)
+
+        colors_for_diff = [c for c in BASE_COLORS if game.bank[c] > 0]
+        random.shuffle(colors_for_diff)
+        return TakeDifferent(colors=colors_for_diff[:3])
+
+    def choose_discard(
+        self,
+        game: GameState,  # noqa: ARG002
+        player: PlayerState,
+        excess: int,
+    ) -> dict[GemColor, int]:
+        """Choose how many tokens to discard."""
+        return auto_discard_tokens(player, excess)
+
+
+class PersonalizedBot2(Strategy):
+    """PersonalizedBot2."""
+
+    """Dumb bot that follows rules but doesn't think."""
+
+    def __init__(self, name: str) -> None:
+        """Initialize the bot."""
+        super().__init__(name=name)
+
+    def choose_action(self, game: GameState, player: PlayerState) -> Action | None:
+        """Choose an action for the current player."""
+        tiers = (1, 2, 3)
+        for tier in tiers:
+            row = game.table_by_tier[tier]
+            if affordable := check_cards_in_tier(row, player):
+                index = random.choice(affordable)
+                return BuyCard(tier=tier, index=index)
+
+        if affordable := check_cards_in_tier(player.reserved, player):
+            index = random.choice(affordable)
+            return BuyCardReserved(index=index)
+
+        colors_for_diff = [c for c in BASE_COLORS if game.bank[c] > 0]
+        if len(colors_for_diff) >= 3:
+            random.shuffle(colors_for_diff)
+            return TakeDifferent(colors=colors_for_diff[:3])
+
+        for tier in tiers:
+            len_deck = len(game.decks_by_tier[tier])
+            if len_deck:
+                return ReserveCard(tier=tier, index=None, from_deck=True)
+
+        return TakeDifferent(colors=colors_for_diff[:3])
+
+    def choose_discard(
+        self,
+        game: GameState,  # noqa: ARG002
+        player: PlayerState,
+        excess: int,
+    ) -> dict[GemColor, int]:
+        """Choose how many tokens to discard."""
+        return auto_discard_tokens(player, excess)
+
+
+def buy_card_reserved(player: PlayerState) -> Action | None:
+    """Buy a card reserved."""
+    if affordable := check_cards_in_tier(player.reserved, player):
+        index = random.choice(affordable)
+        return BuyCardReserved(index=index)
+    return None
+
+
+def buy_card(game: GameState, player: PlayerState) -> Action | None:
+    """Buy a card."""
+    for tier in (1, 2, 3):
+        row = game.table_by_tier[tier]
+        if affordable := check_cards_in_tier(row, player):
+            index = random.choice(affordable)
+            return BuyCard(tier=tier, index=index)
+    return None
+
+
+def take_tokens(game: GameState) -> Action | None:
+    """Take tokens."""
+    colors_for_diff = [color for color in BASE_COLORS if game.bank[color] > 0]
+    if len(colors_for_diff) >= 3:
+        random.shuffle(colors_for_diff)
+        return TakeDifferent(colors=colors_for_diff[: game.config.max_token_take])
+    return None
+
+
+class PersonalizedBot3(Strategy):
+    """PersonalizedBot3."""
+
+    """Dumb bot that follows rules but doesn't think."""
+
+    def __init__(self, name: str) -> None:
+        """Initialize the bot."""
+        super().__init__(name=name)
+
+    def choose_action(self, game: GameState, player: PlayerState) -> Action | None:
+        """Choose an action for the current player."""
+        print(len(get_legal_actions(game, player)))
+        print(get_legal_actions(game, player))
+        if action := buy_card_reserved(player):
+            return action
+        if action := buy_card(game, player):
+            return action
+
+        colors_for_diff = [color for color in BASE_COLORS if game.bank[color] > 0]
+        if len(colors_for_diff) >= 3:
+            random.shuffle(colors_for_diff)
+            return TakeDifferent(colors=colors_for_diff[:3])
+
+        for tier in (1, 2, 3):
+            len_deck = len(game.decks_by_tier[tier])
+            if len_deck:
+                return ReserveCard(tier=tier, index=None, from_deck=True)
+
+        return TakeDifferent(colors=colors_for_diff[:3])
+
+    def choose_discard(
+        self,
+        game: GameState,  # noqa: ARG002
+        player: PlayerState,
+        excess: int,
+    ) -> dict[GemColor, int]:
+        """Choose how many tokens to discard."""
+        return auto_discard_tokens(player, excess)
+
+
+def estimate_value_of_card(game: GameState, player: PlayerState, color: GemColor) -> int:
+    """Estimate value of a color in the player's bank."""
+    return game.bank[color] - player.discounts.get(color, 0)
+
+
+def estimate_value_of_token(game: GameState, player: PlayerState, color: GemColor) -> int:
+    """Estimate value of a color in the player's bank."""
+    return game.bank[color] - player.discounts.get(color, 0)
+
+
+class PersonalizedBot4(Strategy):
+    """PersonalizedBot4."""
+
+    def __init__(self, name: str) -> None:
+        """Initialize the bot."""
+        super().__init__(name=name)
+
+    def filter_actions(self, actions: list[Action]) -> list[Action]:
+        """Filter actions to only take different."""
+        return [
+            action
+            for action in actions
+            if (isinstance(action, TakeDifferent) and len(action.colors) == 3) or not isinstance(action, TakeDifferent)
+        ]
+
+    def choose_action(self, game: GameState, player: PlayerState) -> Action | None:
+        """Choose an action for the current player."""
+        legal_actions = get_legal_actions(game, player)
+        print(len(legal_actions))
+
+        good_actions = self.filter_actions(legal_actions)
+        print(len(good_actions))
+
+        print(good_actions)
+
+        print(len(get_legal_actions(game, player)))
+        if action := buy_card_reserved(player):
+            return action
+        if action := buy_card(game, player):
+            return action
+
+        colors_for_diff = [color for color in BASE_COLORS if game.bank[color] > 0]
+        if len(colors_for_diff) >= 3:
+            random.shuffle(colors_for_diff)
+            return TakeDifferent(colors=colors_for_diff[:3])
+
+        for tier in (1, 2, 3):
+            len_deck = len(game.decks_by_tier[tier])
+            if len_deck:
+                return ReserveCard(tier=tier, index=None, from_deck=True)
+
+        return TakeDifferent(colors=colors_for_diff[:3])
+
+    def choose_discard(
+        self,
+        game: GameState,  # noqa: ARG002
+        player: PlayerState,
+        excess: int,
+    ) -> dict[GemColor, int]:
+        """Choose how many tokens to discard."""
+        return auto_discard_tokens(player, excess)

python/splendor/human.py

@@ -0,0 +1,724 @@
+"""Splendor game."""
+
+from __future__ import annotations
+
+import sys
+from typing import TYPE_CHECKING, Any
+
+from textual.app import App, ComposeResult
+from textual.containers import Horizontal, Vertical
+from textual.widget import Widget
+from textual.widgets import Footer, Header, Input, Static
+
+from .base import (
+    BASE_COLORS,
+    GEM_COLORS,
+    Action,
+    BuyCard,
+    BuyCardReserved,
+    Card,
+    GameState,
+    GemColor,
+    Noble,
+    PlayerState,
+    ReserveCard,
+    Strategy,
+    TakeDifferent,
+    TakeDouble,
+)
+
+if TYPE_CHECKING:
+    from collections.abc import Mapping
+
+# Abbreviations used when rendering costs
+COST_ABBR: dict[GemColor, str] = {
+    "white": "W",
+    "blue": "B",
+    "green": "G",
+    "red": "R",
+    "black": "K",
+    "gold": "O",
+}
+
+# Abbreviations players can type on the command line
+COLOR_ABBR_TO_FULL: dict[str, GemColor] = {
+    "w": "white",
+    "b": "blue",
+    "g": "green",
+    "r": "red",
+    "k": "black",
+    "o": "gold",
+}
+
+
+def parse_color_token(raw: str) -> GemColor:
+    """Convert user input into a GemColor.
+
+    Supports:
+      - full names:  white, blue, green, red, black, gold
+      - abbreviations: w, b, g, r, k, o
+    """
+    key = raw.lower()
+
+    # full color names first
+    if key in BASE_COLORS:
+        return key  # type: ignore[return-value]
+
+    # abbreviations
+    if key in COLOR_ABBR_TO_FULL:
+        return COLOR_ABBR_TO_FULL[key]
+
+    error = f"Unknown color: {raw}"
+    raise ValueError(error)
+
+
+def format_cost(cost: Mapping[GemColor, int]) -> str:
+    """Format a cost/requirements dict as colored tokens like 'B:2, R:1'.
+
+    Uses `color_token` internally so colors are guaranteed to match your bank.
+    """
+    parts: list[str] = []
+    for color in GEM_COLORS:
+        n = cost.get(color, 0)
+        if not n:
+            continue
+
+        # color_token gives us e.g. "[blue]blue: 3[/]"
+        token = color_token(color, n)
+
+        # Turn the leading color name into the abbreviation (blue: 3 → B:3)
+        # We only replace the first occurrence.
+        full = f"{color}:"
+        abbr = f"{COST_ABBR[color]}:"
+        token = token.replace(full, abbr, 1)
+
+        parts.append(token)
+
+    return ", ".join(parts) if parts else "-"
+
+
+def format_card(card: Card) -> str:
+    """Readable card line using dataclass fields instead of __str__."""
+    color_abbr = COST_ABBR[card.color]
+    header = f"T{card.tier} {color_abbr} P{card.points}"
+    cost_str = format_cost(card.cost)
+    return f"{header} ({cost_str})"
+
+
+def format_noble(noble: Noble) -> str:
+    """Readable noble line using dataclass fields instead of __str__."""
+    cost_str = format_cost(noble.requirements)
+    return f"{noble.name} +{noble.points} ({cost_str})"
+
+
+def format_tokens(tokens: Mapping[GemColor, int]) -> str:
+    """Colored 'color: n' list for a token dict."""
+    return " ".join(color_token(c, tokens.get(c, 0)) for c in GEM_COLORS)
+
+
+def format_discounts(discounts: Mapping[GemColor, int]) -> str:
+    """Colored discounts, skipping zeros."""
+    parts: list[str] = []
+    for c in GEM_COLORS:
+        n = discounts.get(c, 0)
+        if not n:
+            continue
+        abbr = COST_ABBR[c]
+        fg, bg = COLOR_STYLE[c]
+        parts.append(f"[{fg} on {bg}]{abbr}:{n}[/{fg} on {bg}]")
+    return ", ".join(parts) if parts else "-"
+
+
+COLOR_STYLE: dict[GemColor, tuple[str, str]] = {
+    "white": ("black", "white"),  # fg, bg
+    "blue": ("bright_white", "blue"),
+    "green": ("bright_white", "sea_green4"),
+    "red": ("white", "red3"),
+    "black": ("white", "grey0"),
+    "gold": ("black", "yellow3"),
+}
+
+
+def fmt_gem(color: GemColor) -> str:
+    """Render gem name with fg/bg matching real token color."""
+    fg, bg = COLOR_STYLE[color]
+    return f"[{fg} on {bg}] {color} [/{fg} on {bg}]"
+
+
+def fmt_number(value: int) -> str:
+    """Return a Rich-markup colored 'value' string."""
+    return f"[bold cyan]{value}[/]"
+
+
+def color_token(name: GemColor, amount: int) -> str:
+    """Return a Rich-markup colored 'name: n' string."""
+    # Map Splendor colors -> terminal colors
+    color_map: Mapping[GemColor, str] = {
+        "white": "white",
+        "blue": "blue",
+        "green": "green",
+        "red": "red",
+        "black": "grey70",  # 'black' is unreadable on dark backgrounds
+        "gold": "yellow",
+    }
+    style = color_map.get(name, "white")
+    return f"[{style}]{name}: {amount}[/]"
+
+
+class Board(Widget):
+    """Big board widget with the layout you sketched."""
+
+    def __init__(self, game: GameState, me: PlayerState, **kwargs: Any) -> None:  # noqa: ANN401
+        """Initialize the board widget."""
+        super().__init__(**kwargs)
+        self.game = game
+        self.me = me
+
+    def compose(self) -> ComposeResult:
+        """Compose the board widget."""
+        # Structure:
+        # ┌ bank row
+        # ├ middle row (tiers | nobles)
+        # └ players row
+        with Vertical(id="board_root"):
+            yield Static(id="bank_box")
+            with Horizontal(id="middle_row"):
+                with Vertical(id="tiers_box"):
+                    yield Static(id="tier1_box")
+                    yield Static(id="tier2_box")
+                    yield Static(id="tier3_box")
+                yield Static(id="nobles_box")
+            yield Static(id="players_box")
+
+    def on_mount(self) -> None:
+        """Refresh the board content."""
+        self.refresh_content()
+
+    def refresh_content(self) -> None:
+        """Refresh the board content."""
+        self._render_bank()
+        self._render_tiers()
+        self._render_nobles()
+        self._render_players()
+
+    # --- sections ----------------------------------------------------
+
+    def _render_bank(self) -> None:
+        bank = self.game.bank
+        parts: list[str] = ["[b]Bank:[/b]"]
+        # One line, all tokens colored
+        parts.append(format_tokens(bank))
+        self.query_one("#bank_box", Static).update("\n".join(parts))
+
+    def _render_tiers(self) -> None:
+        for tier in (1, 2, 3):
+            box = self.query_one(f"#tier{tier}_box", Static)
+            cards: list[Card] = self.game.table_by_tier.get(tier, [])
+            lines: list[str] = [f"[b]Tier {tier} cards:[/b]"]
+            if not cards:
+                lines.append("  (none)")
+            else:
+                for idx, card in enumerate(cards):
+                    lines.append(f"  [{idx}] {format_card(card)}")
+            box.update("\n".join(lines))
+
+    def _render_nobles(self) -> None:
+        nobles_box = self.query_one("#nobles_box", Static)
+        lines: list[str] = ["[b]Nobles[/b]"]
+        if not self.game.available_nobles:
+            lines.append("  (none)")
+        else:
+            lines.extend("  - " + format_noble(noble) for noble in self.game.available_nobles)
+        nobles_box.update("\n".join(lines))
+
+    def _render_players(self) -> None:
+        players_box = self.query_one("#players_box", Static)
+        lines: list[str] = ["[b]Players:[/b]", ""]
+        for player in self.game.players:
+            mark = "*" if player is self.me else " "
+            token_str = format_tokens(player.tokens)
+            discount_str = format_discounts(player.discounts)
+
+            lines.append(
+                f"{mark} {player.name:10}  Score={player.score:2d}  Discounts={discount_str}",
+            )
+            lines.append(f"    Tokens: {token_str}")
+
+            if player.nobles:
+                noble_names = ", ".join(n.name for n in player.nobles)
+                lines.append(f"    Nobles: {noble_names}")
+
+            # Optional: show counts of cards / reserved
+            if player.cards:
+                lines.append(f"    Cards: {len(player.cards)}")
+            if player.reserved:
+                lines.append(f"    Reserved: {len(player.reserved)}")
+
+            lines.append("")
+        players_box.update("\n".join(lines))
+
+
+class ActionApp(App[None]):
+    """Textual app that asks for a single action command and returns an Action."""
+
+    CSS = """
+    Screen {
+        /* 3 rows: command zone, board, footer */
+        layout: grid;
+        grid-size: 1 3;
+        grid-rows: auto 1fr auto;
+    }
+
+    /* Top area with input + instructions */
+    #command_zone {
+        grid-columns: 1;
+        grid-rows: 1;
+        padding: 1 1;
+    }
+
+    /* Board sits in the middle row and can grow */
+    #board {
+        grid-columns: 1;
+        grid-rows: 2;
+        padding: 0 1 1 1;
+    }
+
+    Footer {
+        grid-columns: 1;
+        grid-rows: 3;
+    }
+
+    Input {
+        border: round $accent;
+    }
+
+    /* === Board layout === */
+
+    #board_root {
+        /* outer frame around the whole board area */
+        border: heavy white;
+        padding: 0 1;
+    }
+
+    /* Bank row: full width */
+    #bank_box {
+        border: heavy white;
+        padding: 0 1;
+    }
+
+    /* Middle row: tiers (left) + nobles (right) */
+    #middle_row {
+        layout: horizontal;
+    }
+
+    #tiers_box {
+        border: heavy white;
+        padding: 0 1;
+        width: 70%;
+    }
+
+    #tier1_box,
+    #tier2_box,
+    #tier3_box {
+        border-bottom: heavy white;
+        padding: 0 0 1 0;
+        margin-bottom: 1;
+    }
+
+    #nobles_box {
+        border: heavy white;
+        padding: 0 1;
+        width: 30%;
+    }
+
+    /* Players row: full width at bottom */
+    #players_box {
+        border: heavy white;
+        padding: 0 1;
+    }
+    """
+
+    def __init__(self, game: GameState, player: PlayerState) -> None:
+        """Initialize the action app."""
+        super().__init__()
+        self.game = game
+        self.player = player
+        self.result: Action | None = None
+        self.message: str = ""
+
+    def compose(self) -> ComposeResult:
+        """Compose the action app."""
+        # Row 1: input + Actions text
+        with Vertical(id="command_zone"):
+            yield Input(
+                placeholder="Enter command, e.g. '1 white blue red' or '1 w b r' or 'q'",
+                id="input_line",
+            )
+            yield Static("", id="prompt")
+
+        # Row 2: board
+        yield Board(self.game, self.player, id="board")
+
+        # Row 3: footer
+        yield Footer()
+
+    def on_mount(self) -> None:
+        """Mount the action app."""
+        self._update_prompt()
+        self.query_one(Input).focus()
+
+    def _update_prompt(self) -> None:
+        lines: list[str] = []
+        lines.append("[bold underline]Actions:[/]")
+        lines.append(
+            " [bold green]1[/] <colors...>  - Take up to 3 different gem colors "
+            "(e.g. [cyan]1 white blue red[/] or [cyan]1 w b r[/])",
+        )
+        lines.append(
+            f" [bold green]2[/] <color>      - Take 2 of the same color (needs {fmt_number(4)} in bank, "
+            "e.g. [cyan]2 blue[/] or [cyan]2 b[/])",
+        )
+        lines.append(
+            " [bold green]3[/] <tier> <idx> - Buy a face-up card (e.g. [cyan]3 1 0[/] for tier 1, index 0)",
+        )
+        lines.append(" [bold green]4[/] <idx>        - Buy a reserved card")
+        lines.append(" [bold green]5[/] <tier> <idx> - Reserve a face-up card")
+        lines.append(" [bold green]6[/] <tier>       - Reserve top card of a deck")
+        lines.append(" [bold red]q[/]                - Quit game")
+        if self.message:
+            lines.append("")
+            lines.append(f"[bold red]Message:[/] {self.message}")
+        self.query_one("#prompt", Static).update("\n".join(lines))
+
+    def _cmd_1(self, parts: list[str]) -> str | None:
+        """Take up to 3 different gem colors: 1 white blue red  OR  1 w b r."""
+        color_names = parts[1:]
+        if not color_names:
+            return "Need at least one color (full name or abbreviation)."
+        colors: list[GemColor] = []
+        for name in color_names:
+            color = parse_color_token(name)
+            if self.game.bank[color] <= 0:
+                return f"No tokens left for color: {color}"
+            colors.append(color)
+        self.result = TakeDifferent(colors=colors[:3])
+        self.exit()
+        return None
+
+    def _cmd_2(self, parts: list[str]) -> str | None:
+        """Take two of the same color."""
+        if len(parts) < 2:
+            return "Usage: 2 <color>"
+        color = parse_color_token(parts[1])
+        if self.game.bank[color] < self.game.config.minimum_tokens_to_buy_2:
+            return "Bank must have at least 4 of that color."
+        self.result = TakeDouble(color=color)
+        self.exit()
+        return None
+
+    def _cmd_3(self, parts: list[str]) -> str | None:
+        """Buy face-up card."""
+        if len(parts) < 3:
+            return "Usage: 3 <tier> <index>"
+        tier = int(parts[1])
+        idx = int(parts[2])
+        self.result = BuyCard(tier=tier, index=idx)
+        self.exit()
+        return None
+
+    def _cmd_4(self, parts: list[str]) -> str | None:
+        """Buy reserved card."""
+        if len(parts) < 2:
+            return "Usage: 4 <reserved_index>"
+        idx = int(parts[1])
+        if not (0 <= idx < len(self.player.reserved)):
+            return "Reserved index out of range."
+        self.result = BuyCardReserved(tier=0, index=idx)
+        self.exit()
+        return None
+
+    def _cmd_5(self, parts: list[str]) -> str | None:
+        """Reserve face-up card."""
+        if len(parts) < 3:
+            return "Usage: 5 <tier> <index>"
+        tier = int(parts[1])
+        idx = int(parts[2])
+        self.result = ReserveCard(tier=tier, index=idx, from_deck=False)
+        self.exit()
+        return None
+
+    def _cmd_6(self, parts: list[str]) -> str | None:
+        """Reserve top of deck."""
+        if len(parts) < 2:
+            return "Usage: 6 <tier>"
+        tier = int(parts[1])
+        self.result = ReserveCard(tier=tier, index=None, from_deck=True)
+        self.exit()
+        return None
+
+    def _unknown_cmd(self, _parts: list[str]) -> str:
+        return "Unknown command."
+
+    def on_input_submitted(self, event: Input.Submitted) -> None:
+        """Handle user input."""
+        text = (event.value or "").strip()
+        event.input.value = ""
+        if not text:
+            return
+        if text.lower() in {"q", "quit", "0"}:
+            self.result = None
+            self.exit()
+            return
+
+        parts = text.split()
+
+        cmds = {
+            "1": self._cmd_1,
+            "2": self._cmd_2,
+            "3": self._cmd_3,
+            "4": self._cmd_4,
+            "5": self._cmd_5,
+            "6": self._cmd_6,
+        }
+        cmd = parts[0]
+
+        error = cmds.get(cmd, self._unknown_cmd)(parts)
+
+        if error:
+            self.message = error
+            self._update_prompt()
+            return
+
+
+class DiscardApp(App[None]):
+    """Textual app to choose discards when over token limit."""
+
+    CSS = """
+    Screen {
+        layout: vertical;
+    }
+
+    #command_zone {
+        padding: 1 1;
+    }
+
+    #board {
+        padding: 0 1 1 1;
+    }
+
+    Input {
+        border: round $accent;
+    }
+    """
+
+    def __init__(self, game: GameState, player: PlayerState) -> None:
+        """Initialize the discard app."""
+        super().__init__()
+        self.game = game
+        self.player = player
+        self.discards: dict[GemColor, int] = dict.fromkeys(GEM_COLORS, 0)
+        self.message: str = ""
+
+    def compose(self) -> ComposeResult:  # type: ignore[override]
+        """Compose the discard app."""
+        yield Header(show_clock=False)
+
+        with Vertical(id="command_zone"):
+            yield Input(
+                placeholder="Enter color to discard, e.g. 'blue' or 'b'",
+                id="input_line",
+            )
+            yield Static("", id="prompt")
+
+        # Board directly under the command zone
+        yield Board(self.game, self.player, id="board")
+
+        yield Footer()
+
+    def on_mount(self) -> None:  # type: ignore[override]
+        """Mount the discard app."""
+        self._update_prompt()
+        self.query_one(Input).focus()
+
+    def _remaining_to_discard(self) -> int:
+        return self.player.total_tokens() - sum(self.discards.values()) - self.game.config.token_limit
+
+    def _update_prompt(self) -> None:
+        remaining = max(self._remaining_to_discard(), 0)
+        lines: list[str] = []
+        lines.append(
+            "You must discard "
+            f"{fmt_number(remaining)} token(s) "
+            f"to get down to {fmt_number(self.game.config.token_limit)}.",
+        )
+        disc_str = ", ".join(f"{fmt_gem(c)}={fmt_number(self.discards[c])}" for c in GEM_COLORS)
+        lines.append(f"Current planned discards: {{ {disc_str} }}")
+        lines.append(
+            "Type a color name or abbreviation (e.g. 'blue' or 'b') to discard one token.",
+        )
+        if self.message:
+            lines.append("")
+            lines.append(f"[bold red]Message:[/] {self.message}")
+        self.query_one("#prompt", Static).update("\n".join(lines))
+
+    def on_input_submitted(self, event: Input.Submitted) -> None:  # type: ignore[override]
+        """Handle user input."""
+        raw = (event.value or "").strip()
+        event.input.value = ""
+        if not raw:
+            return
+
+        try:
+            color = parse_color_token(raw)
+        except ValueError:
+            self.message = f"Unknown color: {raw}"
+            self._update_prompt()
+            return
+
+        available = self.player.tokens[color] - self.discards[color]
+        if available <= 0:
+            self.message = f"No more {color} tokens available to discard."
+            self._update_prompt()
+            return
+
+        self.discards[color] += 1
+        if self._remaining_to_discard() <= 0:
+            self.exit()
+            return
+
+        self.message = ""
+        self._update_prompt()
+
+
+# ---------------------------------------------------------------------------
+# Noble choice app
+# ---------------------------------------------------------------------------
+
+
+class NobleChoiceApp(App[None]):
+    """Textual app to choose one noble."""
+
+    CSS = """
+    Screen {
+        layout: vertical;
+    }
+
+    #command_zone {
+        padding: 1 1;
+    }
+
+    #board {
+        padding: 0 1 1 1;
+    }
+
+    Input {
+        border: round $accent;
+    }
+    """
+
+    def __init__(
+        self,
+        game: GameState,
+        player: PlayerState,
+        nobles: list[Noble],
+    ) -> None:
+        """Initialize the noble choice app."""
+        super().__init__()
+        self.game = game
+        self.player = player
+        self.nobles = nobles
+        self.result: Noble | None = None
+        self.message: str = ""
+
+    def compose(self) -> ComposeResult:  # type: ignore[override]
+        """Compose the noble choice app."""
+        yield Header(show_clock=False)
+
+        with Vertical(id="command_zone"):
+            yield Input(
+                placeholder="Enter noble index, e.g. '0'",
+                id="input_line",
+            )
+            yield Static("", id="prompt")
+
+        # Board directly under the command zone
+        yield Board(self.game, self.player, id="board")
+
+        yield Footer()
+
+    def on_mount(self) -> None:  # type: ignore[override]
+        """Mount the noble choice app."""
+        self._update_prompt()
+        self.query_one(Input).focus()
+
+    def _update_prompt(self) -> None:
+        lines: list[str] = []
+        lines.append("[bold underline]You qualify for nobles:[/]")
+        for i, noble in enumerate(self.nobles):
+            lines.append(f" [bright_cyan]{i})[/] {format_noble(noble)}")
+        lines.append("Enter the index of the noble you want.")
+        if self.message:
+            lines.append("")
+            lines.append(f"[bold red]Message:[/] {self.message}")
+        self.query_one("#prompt", Static).update("\n".join(lines))
+
+    def on_input_submitted(self, event: Input.Submitted) -> None:  # type: ignore[override]
+        """Handle user input."""
+        raw = (event.value or "").strip()
+        event.input.value = ""
+        if not raw:
+            return
+        try:
+            idx = int(raw)
+        except ValueError:
+            self.message = "Please enter a valid integer index."
+            self._update_prompt()
+            return
+        if not (0 <= idx < len(self.nobles)):
+            self.message = "Index out of range."
+            self._update_prompt()
+            return
+        self.result = self.nobles[idx]
+        self.exit()
+
+
+class TuiHuman(Strategy):
+    """Textual-based human player Strategy with colorful board."""
+
+    def choose_action(
+        self,
+        game: GameState,
+        player: PlayerState,
+    ) -> Action | None:
+        """Choose an action for the player."""
+        if not sys.stdout.isatty():
+            return None
+        app = ActionApp(game, player)
+        app.run()
+        return app.result
+
+    def choose_discard(
+        self,
+        game: GameState,
+        player: PlayerState,
+        excess: int,  # noqa: ARG002
+    ) -> dict[GemColor, int]:
+        """Choose tokens to discard."""
+        if not sys.stdout.isatty():
+            return dict.fromkeys(GEM_COLORS, 0)
+        app = DiscardApp(game, player)
+        app.run()
+        return app.discards
+
+    def choose_noble(
+        self,
+        game: GameState,
+        player: PlayerState,
+        nobles: list[Noble],
+    ) -> Noble:
+        """Choose a noble for the player."""
+        if not sys.stdout.isatty():
+            return nobles[0]
+        app = NobleChoiceApp(game, player, nobles)
+        app.run()
+        return app.result

python/splendor/main.py

@@ -0,0 +1,19 @@
+"""Main entry point for Splendor game."""
+
+from __future__ import annotations
+
+from .base import new_game, run_game
+from .bot import RandomBot
+from .human import TuiHuman
+
+
+def main() -> None:
+    """Main entry point."""
+    human = TuiHuman()
+    bot = RandomBot()
+    game_state = new_game(["You", "Bot A"])
+    run_game(game_state, [human, bot])
+
+
+if __name__ == "__main__":
+    main()

python/splendor/public_state.py

@@ -0,0 +1,111 @@
+"""Public state for RL/search."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+from .base import (
+    BASE_COLORS,
+    BASE_INDEX,
+    GEM_ORDER,
+    Card,
+    GameState,
+    Noble,
+    PlayerState,
+)
+
+
+@dataclass(frozen=True)
+class ObsCard:
+    """Numeric-ish card view for RL/search."""
+
+    tier: int
+    points: int
+    color_index: int
+    cost: list[int]
+
+
+@dataclass(frozen=True)
+class ObsNoble:
+    """Numeric-ish noble view for RL/search."""
+
+    points: int
+    requirements: list[int]
+
+
+@dataclass(frozen=True)
+class ObsPlayer:
+    """Numeric-ish player view for RL/search."""
+
+    tokens: list[int]
+    discounts: list[int]
+    score: int
+    cards: list[ObsCard]
+    reserved: list[ObsCard]
+    nobles: list[ObsNoble]
+
+
+@dataclass(frozen=True)
+class Observation:
+    """Full public state for RL/search."""
+
+    current_player: int
+    bank: list[int]
+    players: list[ObsPlayer]
+    table_by_tier: dict[int, list[ObsCard]]
+    decks_remaining: dict[int, int]
+    available_nobles: list[ObsNoble]
+
+
+def _encode_card(card: Card) -> ObsCard:
+    color_index = BASE_INDEX.get(card.color, -1)
+    cost_vec = [card.cost.get(c, 0) for c in BASE_COLORS]
+    return ObsCard(
+        tier=card.tier,
+        points=card.points,
+        color_index=color_index,
+        cost=cost_vec,
+    )
+
+
+def _encode_noble(noble: Noble) -> ObsNoble:
+    req_vec = [noble.requirements.get(c, 0) for c in BASE_COLORS]
+    return ObsNoble(
+        points=noble.points,
+        requirements=req_vec,
+    )
+
+
+def _encode_player(player: PlayerState) -> ObsPlayer:
+    tokens_vec = [player.tokens[c] for c in GEM_ORDER]
+    discounts_vec = [player.discounts[c] for c in GEM_ORDER]
+    cards_enc = [_encode_card(c) for c in player.cards]
+    reserved_enc = [_encode_card(c) for c in player.reserved]
+    nobles_enc = [_encode_noble(n) for n in player.nobles]
+    return ObsPlayer(
+        tokens=tokens_vec,
+        discounts=discounts_vec,
+        score=player.score,
+        cards=cards_enc,
+        reserved=reserved_enc,
+        nobles=nobles_enc,
+    )
+
+
+def to_observation(game: GameState) -> Observation:
+    """Create a structured observation of the full public state."""
+    bank_vec = [game.bank[c] for c in GEM_ORDER]
+    players_enc = [_encode_player(p) for p in game.players]
+    table_enc: dict[int, list[ObsCard]] = {
+        tier: [_encode_card(c) for c in row] for tier, row in game.table_by_tier.items()
+    }
+    decks_remaining = {tier: len(deck) for tier, deck in game.decks_by_tier.items()}
+    nobles_enc = [_encode_noble(n) for n in game.available_nobles]
+    return Observation(
+        current_player=game.current_player_index,
+        bank=bank_vec,
+        players=players_enc,
+        table_by_tier=table_enc,
+        decks_remaining=decks_remaining,
+        available_nobles=nobles_enc,
+    )

python/splendor/sim.py

@@ -0,0 +1,36 @@
+"""Simulate a step in the game."""
+
+from __future__ import annotations
+
+import copy
+
+from .base import Action, GameState, PlayerState, apply_action, check_nobles_for_player
+from .bot import RandomBot
+
+
+class SimStrategy(RandomBot):
+    """Strategy used in simulate_step.
+
+    We never call choose_action here (caller chooses actions),
+    but we reuse discard/noble-selection logic.
+    """
+
+    def choose_action(self, game: GameState, player: PlayerState) -> Action | None:  # noqa: ARG002
+        """Choose an action for the current player."""
+        msg = "SimStrategy.choose_action should not be used in simulate_step"
+        raise RuntimeError(msg)
+
+
+def simulate_step(game: GameState, action: Action) -> GameState:
+    """Return a deep-copied next state after applying action for the current player.
+
+    Useful for tree search / MCTS:
+
+        next_state = simulate_step(state, action)
+    """
+    next_state = copy.deepcopy(game)
+    sim_strategy = SimStrategy()
+    apply_action(next_state, sim_strategy, action)
+    check_nobles_for_player(next_state, sim_strategy, next_state.current_player)
+    next_state.next_player()
+    return next_state

python/splendor/simulat.py

@@ -0,0 +1,50 @@
+"""Simulator for Splendor game."""
+
+from __future__ import annotations
+
+from collections import defaultdict
+from pathlib import Path
+from statistics import mean
+
+from .base import GameConfig, load_cards, load_nobles, new_game, run_game
+from .bot import PersonalizedBot4, RandomBot
+
+
+def main() -> None:
+    """Main entry point."""
+    turn_limit = 1000
+    good_games = 0
+    games = 1
+    winners: dict[str, list] = defaultdict(list)
+    game_data = Path(__file__).parent / "game_data"
+
+    cards = load_cards(game_data / "cards/default.json")
+    nobles = load_nobles(game_data / "nobles/default.json")
+
+    for _ in range(games):
+        bot_a = RandomBot("bot_a")
+        bot_b = RandomBot("bot_b")
+        bot_c = RandomBot("bot_c")
+        bot_d = PersonalizedBot4("my_bot")
+        config = GameConfig(
+            cards=cards,
+            nobles=nobles,
+            turn_limit=turn_limit,
+        )
+        players = (bot_a, bot_b, bot_c, bot_d)
+        game_state = new_game(players, config)
+        winner, turns = run_game(game_state)
+        if turns < turn_limit:
+            good_games += 1
+            winners[winner.strategy.name].append(turns)
+
+    print(
+        f"out of {games} {turn_limit} turn games with {len(players)}"
+        f"random bots there where {good_games} games where a bot won"
+    )
+    for name, turns in winners.items():
+        print(f"{name} won {len(turns)} games in {mean(turns):.2f} turns")
+
+
+if __name__ == "__main__":
+    main()

python/system_tests/validate_system.py

@@ -4,7 +4,7 @@ import logging
 import sys
 import tomllib
 from os import environ
-from pathlib import Path  # noqa: TC003 This is required for the typer CLI
+from pathlib import Path
 from socket import gethostname
 
 import typer

python/tools/audiobook/audible_convert.py

@@ -451,7 +451,7 @@ def convert_aax_file_with_agent(aax_file: Path, config: ConversionConfig) -> Non
     destination.parent.mkdir(parents=True, exist_ok=True)
     try:
         temp_file.replace(destination)
-    except OSError as error:
+    except Exception as error:  # noqa: BLE001
         write_review_file(
             destination=destination,
             ffprobe_metadata=ffprobe_metadata,

python/tools/audiobook/catalog.py

@@ -169,6 +169,7 @@ def csv_id(row: dict[str, str | None], csv_path: Path, row_number: int) -> int |
     except ValueError as error:
         msg = f"{csv_path}:{row_number}: id must be an integer: {value}"
         raise CatalogImportError(msg) from error
+    return None
 
 
 if __name__ == "__main__":

python/tools/installer.py

@@ -16,13 +16,9 @@ from typing import TYPE_CHECKING
 if TYPE_CHECKING:
     from collections.abc import Sequence
 
-logger = logging.getLogger(__name__)
-ESCAPE_KEY = 27
-
 
 def configure_logger(level: str = "INFO") -> None:
     """Configure the logger.
-
     Args:
         level (str, optional): The logging level. Defaults to "INFO".
     """
@@ -36,17 +32,15 @@ def configure_logger(level: str = "INFO") -> None:
 
 def bash_wrapper(command: str) -> str:
     """Execute a bash command and capture the output.
-
     Args:
         command (str): The bash command to be executed.
-
     Returns:
         Tuple[str, int]: A tuple containing the output of the command (stdout) as a string,
         the error output (stderr) as a string (optional), and the return code as an integer.
     """
-    logger.debug(f"running {command=}")
+    logging.debug(f"running {command=}")
     # This is a acceptable risk
-    process = Popen(command.split(), stdout=PIPE, stderr=PIPE)
+    process = Popen(command.split(), stdout=PIPE, stderr=PIPE)  # noqa: S603
     output, _ = process.communicate()
     if process.returncode != 0:
         error = f"Failed to run command {command=} return code {process.returncode=}"
@@ -57,7 +51,6 @@ def bash_wrapper(command: str) -> str:
 
 def partition_disk(disk: str, swap_size: int, reserve: int = 0) -> None:
     """Partition a disk.
-
     Args:
         disk (str): The disk to partition.
         swap_size (int): The size of the swap partition in GB.
@@ -65,7 +58,7 @@ def partition_disk(disk: str, swap_size: int, reserve: int = 0) -> None:
         reserve (int, optional): The size of the reserve partition in GB. Defaults to 0.
             minimum value is 0.
     """
-    logger.info(f"partitioning {disk=}")
+    logging.info(f"partitioning {disk=}")
     swap_size = max(swap_size, 1)
     reserve = max(reserve, 0)
 
@@ -73,16 +66,16 @@ def partition_disk(disk: str, swap_size: int, reserve: int = 0) -> None:
 
     if reserve > 0:
         msg = f"Creating swap partition on {disk=} with size {swap_size=}GiB and reserve {reserve=}GiB"
-        logger.info(msg)
+        logging.info(msg)
 
         swap_start = swap_size + reserve
         swap_partition = f"mkpart swap -{swap_start}GiB -{reserve}GiB "
     else:
-        logger.info(f"Creating swap partition on {disk=} with size {swap_size=}GiB")
+        logging.info(f"Creating swap partition on {disk=} with size {swap_size=}GiB")
         swap_start = swap_size
         swap_partition = f"mkpart swap -{swap_start}GiB 100% "
 
-    logger.debug(f"{swap_partition=}")
+    logging.debug(f"{swap_partition=}")
 
     create_partitions = (
         f"parted --script --align=optimal {disk} -- "
@@ -94,14 +87,13 @@ def partition_disk(disk: str, swap_size: int, reserve: int = 0) -> None:
     )
     bash_wrapper(create_partitions)
 
-    logger.info(f"{disk=} successfully partitioned")
+    logging.info(f"{disk=} successfully partitioned")
 
 
 def create_zfs_pool(pool_disks: Sequence[str], mnt_dir: str) -> None:
     """Create a ZFS pool.
-
     Args:
-        pool_disks (Sequence[str]): A tuple of disks to use for the pool.
+        disks (Sequence[str]): A tuple of disks to use for the pool.
         mnt_dir (str): The mount directory.
     """
     if len(pool_disks) <= 0:
@@ -133,12 +125,13 @@ def create_zfs_pool(pool_disks: Sequence[str], mnt_dir: str) -> None:
     bash_wrapper(zpool_create)
     zpools = bash_wrapper("zpool list -o name")
     if "root_pool" not in zpools.splitlines():
-        logger.critical("Failed to create root_pool")
+        logging.critical("Failed to create root_pool")
         sys.exit(1)
 
 
 def create_zfs_datasets() -> None:
     """Create ZFS datasets."""
+
     bash_wrapper("zfs create -o canmount=noauto -o reservation=10G root_pool/root")
     bash_wrapper("zfs create root_pool/home")
     bash_wrapper("zfs create root_pool/var -o reservation=1G")
@@ -153,7 +146,7 @@ def create_zfs_datasets() -> None:
     }
     missing_datasets = expected_datasets.difference(datasets.splitlines())
     if missing_datasets:
-        logger.critical(f"Failed to create pools {missing_datasets}")
+        logging.critical(f"Failed to create pools {missing_datasets}")
         sys.exit(1)
 
 
@@ -166,8 +159,6 @@ def get_cpu_manufacturer() -> str:
     for line in output.splitlines():
         if "vendor_id" in line:
             return id_vendor[line.split(": ")[1].strip()]
-    error = "Failed to get CPU manufacturer"
-    raise RuntimeError(error)
 
 
 def get_boot_drive_id(disk: str) -> str:
@@ -176,8 +167,9 @@ def get_boot_drive_id(disk: str) -> str:
     return output.splitlines()[1]
 
 
-def create_nix_hardware_file(mnt_dir: str, disks: Sequence[str], *, encrypt: bool) -> None:
+def create_nix_hardware_file(mnt_dir: str, disks: Sequence[str], encrypt: bool) -> None:
     """Create a NixOS hardware file."""
+
     cpu_manufacturer = get_cpu_manufacturer()
 
     devices = ""
@@ -201,15 +193,7 @@ def create_nix_hardware_file(mnt_dir: str, disks: Sequence[str], *, encrypt: boo
         '  imports = [ (modulesPath + "/installer/scan/not-detected.nix") ];\n\n'
         "  boot = {\n"
         "    initrd = {\n"
-        "      availableKernelModules = [ \n"
+        '      availableKernelModules = [ \n        "ahci"\n        "ehci_pci"\n        "nvme"\n        "sd_mod"\n        "usb_storage"\n        "usbhid"\n        "xhci_pci"\n      ];\n'
-        '        "ahci"\n'
-        '        "ehci_pci"\n'
-        '        "nvme"\n'
-        '        "sd_mod"\n'
-        '        "usb_storage"\n'
-        '        "usbhid"\n'
-        '        "xhci_pci"\n'
-        "      ];\n"
         "      kernelModules = [ ];\n"
         f" {devices}"
         "    };\n"
@@ -223,18 +207,11 @@ def create_nix_hardware_file(mnt_dir: str, disks: Sequence[str], *, encrypt: boo
         '    "/nix" = {\n      device = "root_pool/nix";\n      fsType = "zfs";\n    };\n\n'
         '    "/boot" = {\n'
         f'      device = "/dev/disk/by-uuid/{get_boot_drive_id(disks[0])}";\n'
-        '      fsType = "vfat";\n'
+        '      fsType = "vfat";\n      options = [\n        "fmask=0077"\n        "dmask=0077"\n      ];\n    };\n  };\n\n'
-        "      options = [\n"
-        '        "fmask=0077"\n'
-        '        "dmask=0077"\n'
-        "      ];\n"
-        "    };\n"
-        "  };\n\n"
         "  swapDevices = [ ];\n\n"
         "  networking.useDHCP = lib.mkDefault true;\n\n"
         '  nixpkgs.hostPlatform = lib.mkDefault "x86_64-linux";\n'
-        f"  hardware.cpu.{cpu_manufacturer}.updateMicrocode = lib.mkDefault "
+        f"  hardware.cpu.{cpu_manufacturer}.updateMicrocode = lib.mkDefault config.hardware.enableRedistributableFirmware;\n"
-        "config.hardware.enableRedistributableFirmware;\n"
         f'  networking.hostId = "{host_id}";\n'
         "}\n"
     )
@@ -242,7 +219,7 @@ def create_nix_hardware_file(mnt_dir: str, disks: Sequence[str], *, encrypt: boo
     Path(f"{mnt_dir}/etc/nixos/hardware-configuration.nix").write_text(nix_hardware)
 
 
-def install_nixos(mnt_dir: str, disks: Sequence[str], *, encrypt: bool) -> None:
+def install_nixos(mnt_dir: str, disks: Sequence[str], encrypt: bool) -> None:
     """Install NixOS."""
     bash_wrapper(f"mount -o X-mount.mkdir -t zfs root_pool/root {mnt_dir}")
     bash_wrapper(f"mount -o X-mount.mkdir -t zfs root_pool/home {mnt_dir}/home")
@@ -253,16 +230,14 @@ def install_nixos(mnt_dir: str, disks: Sequence[str], *, encrypt: bool) -> None:
         bash_wrapper(f"mkfs.vfat -n EFI {disk}-part1")
 
     # set up mirroring afterwards if more than one disk
-    boot_partition = (
+    boot_partition = f"mount -t vfat -o fmask=0077,dmask=0077,iocharset=iso8859-1,X-mount.mkdir {disks[0]}-part1 {mnt_dir}/boot"
-        f"mount -t vfat -o fmask=0077,dmask=0077,iocharset=iso8859-1,X-mount.mkdir {disks[0]}-part1 {mnt_dir}/boot"
-    )
     bash_wrapper(boot_partition)
 
     bash_wrapper(f"nixos-generate-config --root {mnt_dir}")
 
-    create_nix_hardware_file(mnt_dir, disks, encrypt=encrypt)
+    create_nix_hardware_file(mnt_dir, disks, encrypt)
 
-    run(("nixos-install", "--root", mnt_dir), check=True)
+    run(("nixos-install", "--root", mnt_dir), check=True)  # noqa: S603
 
 
 def installer(
@@ -272,38 +247,27 @@ def installer(
     encrypt_key: str | None,
 ) -> None:
     """Main."""
-    logger.info("Starting installation")
+    logging.info("Starting installation")
 
     for disk in disks:
         partition_disk(disk, swap_size, reserve)
 
         if encrypt_key:
             sleep(1)
-            key_input = encrypt_key.encode()
+            for command in (
-            run(
+                f'printf "{encrypt_key}" | cryptsetup luksFormat --type luks2 {disk}-part2 -',
-                ("cryptsetup", "luksFormat", "--type", "luks2", f"{disk}-part2", "-"),
+                f'printf "{encrypt_key}" | cryptsetup luksOpen {disk}-part2 luks-root-pool-{disk.split("/")[-1]}-part2 -',
-                input=key_input,
+            ):
-                check=True,
+                run(command, shell=True, check=True)
-            )
-            run(
-                (
-                    "cryptsetup",
-                    "luksOpen",
-                    f"{disk}-part2",
-                    f"luks-root-pool-{disk.split('/')[-1]}-part2",
-                    "-",
-                ),
-                input=key_input,
-                check=True,
-            )
 
-    # Fixed mount point for the new system; the installer runs as root on a fresh disk
     mnt_dir = "/tmp/nix_install"  # noqa: S108
 
     Path(mnt_dir).mkdir(parents=True, exist_ok=True)
 
     if encrypt_key:
-        pool_disks = [f"/dev/mapper/luks-root-pool-{disk.split('/')[-1]}-part2" for disk in disks]
+        pool_disks = [
+            f"/dev/mapper/luks-root-pool-{disk.split('/')[-1]}-part2" for disk in disks
+        ]
     else:
         pool_disks = [f"{disk}-part2" for disk in disks]
 
@@ -311,73 +275,57 @@ def installer(
 
     create_zfs_datasets()
 
-    install_nixos(mnt_dir, disks, encrypt=bool(encrypt_key))
+    install_nixos(mnt_dir, disks, encrypt_key)
 
-    logger.info("Installation complete")
+    logging.info("Installation complete")
 
 
 class Cursor:
-    """Track cursor position and constrain movement to screen bounds."""
+    def __init__(self):
-
-    def __init__(self) -> None:
-        """Initialize cursor position and screen dimensions."""
         self.x_position = 0
         self.y_position = 0
         self.height = 0
         self.width = 0
 
-    def set_height(self, height: int) -> None:
+    def set_height(self, height: int):
-        """Set the maximum screen height."""
         self.height = height
 
-    def set_width(self, width: int) -> None:
+    def set_width(self, width: int):
-        """Set the maximum screen width."""
         self.width = width
 
     def x_bounce_check(self, cursor: int) -> int:
-        """Clamp an x position to the screen width."""
         cursor = max(0, cursor)
         return min(self.width - 1, cursor)
 
     def y_bounce_check(self, cursor: int) -> int:
-        """Clamp a y position to the screen height."""
         cursor = max(0, cursor)
         return min(self.height - 1, cursor)
 
-    def set_x(self, x: int) -> None:
+    def set_x(self, x: int):
-        """Set the cursor x position."""
         self.x_position = self.x_bounce_check(x)
 
-    def set_y(self, y: int) -> None:
+    def set_y(self, y: int):
-        """Set the cursor y position."""
         self.y_position = self.y_bounce_check(y)
 
     def get_x(self) -> int:
-        """Get the cursor x position."""
         return self.x_position
 
     def get_y(self) -> int:
-        """Get the cursor y position."""
         return self.y_position
 
-    def move_up(self) -> None:
+    def move_up(self):
-        """Move the cursor up one row."""
         self.set_y(self.y_position - 1)
 
-    def move_down(self) -> None:
+    def move_down(self):
-        """Move the cursor down one row."""
         self.set_y(self.y_position + 1)
 
-    def move_left(self) -> None:
+    def move_left(self):
-        """Move the cursor left one column."""
         self.set_x(self.x_position - 1)
 
-    def move_right(self) -> None:
+    def move_right(self):
-        """Move the cursor right one column."""
         self.set_x(self.x_position + 1)
 
     def navigation(self, key: int) -> None:
-        """Move the cursor for a curses navigation key."""
         action = {
             curses.KEY_DOWN: self.move_down,
             curses.KEY_UP: self.move_up,
@@ -391,8 +339,7 @@ class Cursor:
 class State:
     """State class to store the state of the program."""
 
-    def __init__(self) -> None:
+    def __init__(self):
-        """Initialize installer menu state."""
         self.key = 0
         self.cursor = Cursor()
 
@@ -410,9 +357,11 @@ class State:
 
 
 def get_device(raw_device: str) -> dict[str, str]:
-    """Parse an lsblk key-value device row."""
     raw_device_components = raw_device.split(" ")
-    return {thing.split("=")[0].lower(): thing.split("=")[1].strip('"') for thing in raw_device_components}
+    return {
+        thing.split("=")[0].lower(): thing.split("=")[1].strip('"')
+        for thing in raw_device_components
+    }
 
 
 def get_devices() -> list[dict[str, str]]:
@@ -424,7 +373,6 @@ def get_devices() -> list[dict[str, str]]:
 
 def get_device_id_mapping() -> dict[str, set[str]]:
     """Get a list of device ids.
-
     Returns:
         list[str]: the list of device ids
     """
@@ -439,8 +387,9 @@ def get_device_id_mapping() -> dict[str, set[str]]:
     return device_id_mapping
 
 
-def calculate_device_menu_padding(devices: list[dict[str, str]], column: str, padding: int = 0) -> int:
+def calculate_device_menu_padding(
-    """Calculate the width needed for a device menu column."""
+    devices: list[dict[str, str]], column: str, padding: int = 0
+) -> int:
     return max(len(device[column]) for device in devices) + padding
 
 
@@ -452,7 +401,6 @@ def draw_device_ids(
     menu_width: list[int],
     device_ids: set[str],
 ) -> tuple[State, int]:
-    """Draw selectable device IDs for a device row."""
     for device_id in sorted(device_ids):
         row_number = row_number + 1
         if row_number == state.cursor.get_y() and state.cursor.get_x() in menu_width:
@@ -481,9 +429,8 @@ def draw_device_menu(
     state: State,
     menu_start_y: int = 0,
     menu_start_x: int = 0,
-) -> tuple[State, int]:
+) -> State:
-    """Draw the device menu and handle user input.
+    """draw the device menu and handle user input
-
     Args:
         std_screen (curses.window): the curses window to draw on
         devices (list[dict[str, str]]): the list of devices to draw
@@ -491,7 +438,6 @@ def draw_device_menu(
         state (State): the state object to update
         menu_start_y (int, optional): the y position to start drawing the menu. Defaults to 0.
         menu_start_x (int, optional): the x position to start drawing the menu. Defaults to 0.
-
     Returns:
         State: the updated state object
     """
@@ -502,9 +448,7 @@ def draw_device_menu(
     type_padding = calculate_device_menu_padding(devices, "type", padding)
     mountpoints_padding = calculate_device_menu_padding(devices, "mountpoints", padding)
 
-    device_header = (
+    device_header = f"{'Name':{name_padding}}{'Size':{size_padding}}{'Type':{type_padding}}{'Mountpoints':{mountpoints_padding}}"
-        f"{'Name':{name_padding}}{'Size':{size_padding}}{'Type':{type_padding}}{'Mountpoints':{mountpoints_padding}}"
-    )
 
     menu_width = range(menu_start_x, len(device_header) + menu_start_x)
 
@@ -537,9 +481,8 @@ def draw_device_menu(
 
 
 def debug_menu(std_screen: curses.window, key: int) -> None:
-    """Draw debug information for the current curses screen."""
     height, width = std_screen.getmaxyx()
-    width_height = f"Width: {width}, Height: {height}"
+    width_height = "Width: {}, Height: {}".format(width, height)
     std_screen.addstr(height - 4, 0, width_height, curses.color_pair(5))
 
     key_pressed = f"Last key pressed: {key}"[: width - 1]
@@ -547,7 +490,7 @@ def debug_menu(std_screen: curses.window, key: int) -> None:
         key_pressed = "No key press detected..."[: width - 1]
     std_screen.addstr(height - 3, 0, key_pressed)
 
-    for i in range(8):
+    for i in range(0, 8):
         std_screen.addstr(height - 2, i * 3, f"{i}██", curses.color_pair(i))
 
 
@@ -557,11 +500,12 @@ def status_bar(
     width: int,
     height: int,
 ) -> None:
-    """Draw the footer status bar."""
     std_screen.attron(curses.A_REVERSE)
     std_screen.attron(curses.color_pair(3))
 
-    status_bar = f"Press 'q' to exit | STATUS BAR | Pos: {cursor.get_x()}, {cursor.get_y()}"
+    status_bar = (
+        f"Press 'q' to exit | STATUS BAR | Pos: {cursor.get_x()}, {cursor.get_y()}"
+    )
     std_screen.addstr(height - 1, 0, status_bar)
     std_screen.addstr(height - 1, len(status_bar), " " * (width - len(status_bar) - 1))
 
@@ -570,15 +514,13 @@ def status_bar(
 
 
 def set_color() -> None:
-    """Initialize curses color pairs."""
     curses.start_color()
     curses.use_default_colors()
-    for i in range(curses.COLORS):
+    for i in range(0, curses.COLORS):
         curses.init_pair(i + 1, i, -1)
 
 
 def get_text_input(std_screen: curses.window, prompt: str, y: int, x: int) -> str:
-    """Read text input from a curses screen."""
     curses.echo()
     std_screen.addstr(y, x, prompt)
     input_str = ""
@@ -586,10 +528,10 @@ def get_text_input(std_screen: curses.window, prompt: str, y: int, x: int) -> st
         key = std_screen.getch()
         if key == ord("\n"):
             break
-        if key == ESCAPE_KEY:
+        elif key == 27:  # ESC key
             input_str = ""
             break
-        if key in (curses.KEY_BACKSPACE, ord("\b"), 127):
+        elif key in (curses.KEY_BACKSPACE, ord("\b"), 127):
             input_str = input_str[:-1]
             std_screen.addstr(y, x + len(prompt), input_str + " ")
         else:
@@ -604,7 +546,6 @@ def swap_size_input(
     state: State,
     swap_offset: int,
 ) -> State:
-    """Handle swap size input."""
     swap_size_text = "Swap size (GB): "
     std_screen.addstr(swap_offset, 0, f"{swap_size_text}{state.swap_size}")
     if state.key == ord("\n") and state.cursor.get_y() == swap_offset:
@@ -616,7 +557,9 @@ def swap_size_input(
             state.swap_size = int(swap_size_str)
             state.show_swap_input = False
         except ValueError:
-            std_screen.addstr(swap_offset, 0, "Invalid input. Press any key to continue.")
+            std_screen.addstr(
+                swap_offset, 0, "Invalid input. Press any key to continue."
+            )
             std_screen.getch()
             state.show_swap_input = False
 
@@ -628,19 +571,22 @@ def reserve_size_input(
     state: State,
     reserve_offset: int,
 ) -> State:
-    """Handle reserve size input."""
     reserve_size_text = "reserve size (GB): "
     std_screen.addstr(reserve_offset, 0, f"{reserve_size_text}{state.reserve_size}")
     if state.key == ord("\n") and state.cursor.get_y() == reserve_offset:
         state.show_reserve_input = True
 
     if state.show_reserve_input:
-        reserve_size_str = get_text_input(std_screen, reserve_size_text, reserve_offset, 0)
+        reserve_size_str = get_text_input(
+            std_screen, reserve_size_text, reserve_offset, 0
+        )
         try:
             state.reserve_size = int(reserve_size_str)
             state.show_reserve_input = False
         except ValueError:
-            std_screen.addstr(reserve_offset, 0, "Invalid input. Press any key to continue.")
+            std_screen.addstr(
+                reserve_offset, 0, "Invalid input. Press any key to continue."
+            )
             std_screen.getch()
             state.show_reserve_input = False
 
@@ -648,11 +594,9 @@ def reserve_size_input(
 
 
 def draw_menu(std_screen: curses.window) -> State:
-    """Draw the menu and handle user input.
+    """draw the menu and handle user input
-
     Args:
         std_screen (curses.window): the curses window to draw on
-
     Returns:
         State: the state object
     """
@@ -712,18 +656,17 @@ def draw_menu(std_screen: curses.window) -> State:
 
 
 def main() -> None:
-    """Run the installer menu and start installation."""
     configure_logger("DEBUG")
 
     state = curses.wrapper(draw_menu)
 
     encrypt_key = getenv("ENCRYPT_KEY")
 
-    logger.info("installing_nixos")
+    logging.info("installing_nixos")
-    logger.info(f"disks: {state.selected_device_ids}")
+    logging.info(f"disks: {state.selected_device_ids}")
-    logger.info(f"swap_size: {state.swap_size}")
+    logging.info(f"swap_size: {state.swap_size}")
-    logger.info(f"reserve: {state.reserve_size}")
+    logging.info(f"reserve: {state.reserve_size}")
-    logger.info(f"encrypted: {bool(encrypt_key)}")
+    logging.info(f"encrypted: {bool(encrypt_key)}")
 
     sleep(3)
 

python/van_inventory/__init__.py

@@ -0,0 +1 @@
+"""Van inventory FastAPI application."""

python/van_inventory/dependencies.py

@@ -0,0 +1,16 @@
+"""FastAPI dependencies for van inventory."""
+
+from collections.abc import Iterator
+from typing import Annotated
+
+from fastapi import Depends, Request
+from sqlalchemy.orm import Session
+
+
+def get_db(request: Request) -> Iterator[Session]:
+    """Get database session from app state."""
+    with Session(request.app.state.engine) as session:
+        yield session
+
+
+DbSession = Annotated[Session, Depends(get_db)]

python/van_inventory/main.py

@@ -0,0 +1,56 @@
+"""FastAPI app for van inventory."""
+
+from __future__ import annotations
+
+import logging
+from contextlib import asynccontextmanager
+from pathlib import Path
+from typing import TYPE_CHECKING, Annotated
+
+import typer
+import uvicorn
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+
+from python.common import configure_logger
+from python.orm.common import get_postgres_engine
+from python.van_inventory.routers import api_router, frontend_router
+
+STATIC_DIR = Path(__file__).resolve().parent / "static"
+
+if TYPE_CHECKING:
+    from collections.abc import AsyncIterator
+
+logger = logging.getLogger(__name__)
+
+
+def create_app() -> FastAPI:
+    """Create and configure the FastAPI application."""
+
+    @asynccontextmanager
+    async def lifespan(app: FastAPI) -> AsyncIterator[None]:
+        app.state.engine = get_postgres_engine(name="VAN_INVENTORY")
+        yield
+        app.state.engine.dispose()
+
+    app = FastAPI(title="Van Inventory", lifespan=lifespan)
+    app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
+    app.include_router(api_router)
+    app.include_router(frontend_router)
+    return app
+
+
+def serve(
+    # Intentionally binds all interfaces — this is a LAN-only van server
+    host: Annotated[str, typer.Option("--host", "-h", help="Host to bind to")] = "0.0.0.0",  # noqa: S104
+    port: Annotated[int, typer.Option("--port", "-p", help="Port to bind to")] = 8001,
+    log_level: Annotated[str, typer.Option("--log-level", "-l", help="Log level")] = "INFO",
+) -> None:
+    """Start the Van Inventory server."""
+    configure_logger(log_level)
+    app = create_app()
+    uvicorn.run(app, host=host, port=port)
+
+
+if __name__ == "__main__":
+    typer.run(serve)