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31 Commits

Author SHA1 Message Date
Richie 65c4dc0f18 fixed omnibus for audio books
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2026-06-10 16:33:16 -04:00
Richie d111e27cad moved installer to python dir 2026-06-10 15:15:59 -04:00
Richie f01d2cc001 deleted frontend dir 2026-06-10 15:15:46 -04:00
Richie cf8c91635a added llm_tool_calling.py
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2026-06-07 10:39:29 -04:00
Richie 79162b65d4 built workflow 2026-06-07 10:39:29 -04:00
Richie 67a95657a2 Add catalog.py for manually adding authors and series to the database. 2026-06-07 10:33:26 -04:00
Richie a31b83b9c9 adding audiobook data to DB 2026-06-07 10:33:26 -04:00
Richie 44826464de flake update fro claud code
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2026-06-07 10:01:51 -04:00
Richie 3de0ffccb0 adding workflow dispatch for gitea_flake_lock.py
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2026-06-06 22:56:34 -04:00
Richie c6c98b3e26 updated Primary nic
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2026-06-04 18:10:41 -04:00
Richie d459f3d675 adding brave 2026-06-04 18:10:41 -04:00
Richie 33e4b37cce fixing jeeves dns 2026-06-04 18:10:41 -04:00
Richie 2a8e7e7f2b updated my ssh_config.nix
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2026-06-03 22:11:19 -04:00
Richie 07759353be flake update
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2026-05-29 22:30:33 -04:00
Richie 38fb14520e removed --reload
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2026-05-29 20:26:32 -04:00
Richie 006ae6079a moved nornsight off my_python 2026-05-29 20:15:51 -04:00
Richie 7d507fb7e1 adding nornsight.nix
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2026-05-29 18:39:27 -04:00
Richie 0f69022e51 disabled terminal bell
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2026-05-29 13:52:46 -04:00
Richie a260ae2470 adding ffmpeg to jeeves and rhapsody-in-green
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2026-05-28 22:14:59 -04:00
Richie 820b4a53d2 adding photos to syncthing
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2026-05-28 22:08:46 -04:00
Richie ea77e83f06 setting forceImportRoot to false
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2026-05-14 15:12:53 -04:00
Richie a9da208bc3 added --accept-flake-config to nixos-rebuild step
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2026-05-14 13:39:13 -04:00
Richie 739d7dd28c droped whisper from my_python 2026-05-14 13:38:41 -04:00
Richie 651599796e moved ./llm_tools.nix to gui only
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2026-05-14 12:58:15 -04:00
Richie b9d440597c removed llm tools from gui
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2026-05-13 10:03:15 -04:00
Richie 311cc5d7a7 adding pi-coding-agenta
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2026-05-13 08:57:45 -04:00
Richie fb2519046d moved codex and opencode to master pkgs 2026-05-13 08:56:18 -04:00
Richie bc6b1585ec flake update 2026-05-10 13:49:53 -04:00
Richie d71330a85a updated firefox configPath
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2026-05-10 12:36:54 -04:00
Richie df51aa5200 removing sunshine
sunshine is a cool idea but has been causing annoying ui glitches and started preventing the display manning for starting
Its a cool idea in theory but not useful enough for me to want to debug
2026-05-10 12:31:06 -04:00
Richie e93cc816db flake update 2026-05-09 17:38:13 -04:00
37 changed files with 3461 additions and 119 deletions
+1 -1
View File
@@ -23,6 +23,6 @@ jobs:
steps: steps:
- uses: actions/checkout@v4 - uses: actions/checkout@v4
- name: Build default package - name: Build default package
run: "nixos-rebuild build --flake ./#${{ matrix.system }}" run: "nixos-rebuild build --accept-flake-config --flake ./#${{ matrix.system }}"
- name: copy to nix-cache - name: copy to nix-cache
run: nix copy --accept-flake-config --to unix:///host-nix/var/nix/daemon-socket/socket .#nixosConfigurations.${{ matrix.system }}.config.system.build.toplevel run: nix copy --accept-flake-config --to unix:///host-nix/var/nix/daemon-socket/socket .#nixosConfigurations.${{ matrix.system }}.config.system.build.toplevel
+1
View File
@@ -1,6 +1,7 @@
name: pytest name: pytest
on: on:
workflow_dispatch:
push: push:
branches: branches:
- main - main
+4 -1
View File
@@ -23,7 +23,10 @@
boot = { boot = {
tmp.useTmpfs = true; tmp.useTmpfs = true;
kernelPackages = lib.mkDefault pkgs.linuxPackages_6_12; kernelPackages = lib.mkDefault pkgs.linuxPackages_6_12;
zfs.package = lib.mkDefault pkgs.zfs_2_4; zfs = {
package = lib.mkDefault pkgs.zfs_2_4;
forceImportRoot = lib.mkDefault false;
};
}; };
hardware.enableRedistributableFirmware = true; hardware.enableRedistributableFirmware = true;
+76
View File
@@ -0,0 +1,76 @@
# ZFS failed root import recovery
## Fast path
If the machine fails to boot because ZFS refuses to import `root_pool`:
### GRUB
1. At the bootloader menu, select the normal NixOS entry.
2. Press `e`.
3. Find the line that starts with `linux`.
4. Append this to the end of that line:
```text
zfs_force=1
```
5. Boot once with `Ctrl+x` or `F10`.
### systemd-boot
1. At the bootloader menu, highlight the normal NixOS entry.
2. Press `e`.
3. Append this to the end of the options line:
```text
zfs_force=1
```
4. Press `Enter` to boot once.
## After boot
Run:
```bash
sudo zpool status
sudo zpool import
journalctl -b | rg "ZFS|zfs|import|root_pool"
```
## Expected result
`sudo zpool status` should show `root_pool` as `ONLINE`.
## Reboot test
Run:
```bash
sudo reboot
```
Do not add `zfs_force=1` the second time.
## If it still fails
Boot once more with:
```text
zfs_force=1
```
Then run:
```bash
sudo zpool status -v
sudo zpool history | tail -n 50
journalctl -b | rg "ZFS|zfs|import|root_pool"
```
## Notes
- Root pool name is `root_pool`.
- This is a one-time recovery path after disk moves, controller changes, dirty exports, or interrupted imports.
- Some hosts also need the LUKS unlock USB key inserted before boot.
Generated
+42 -26
View File
@@ -8,11 +8,11 @@
}, },
"locked": { "locked": {
"dir": "pkgs/firefox-addons", "dir": "pkgs/firefox-addons",
"lastModified": 1777521781, "lastModified": 1780733803,
"narHash": "sha256-bQ9oIcNyHsiagt7yptfe7OmfUDEyuXFUb7ajkrWNzSo=", "narHash": "sha256-QBJPq12P1DAXFGezoEJaSO/xPUrPlnaI3ddSaMG2JpM=",
"owner": "rycee", "owner": "rycee",
"repo": "nur-expressions", "repo": "nur-expressions",
"rev": "8a444a5c02840666c9c2f92042bfbb7a10c68200", "rev": "c80b0aa94392c5f3612ac797108f6d952752036d",
"type": "gitlab" "type": "gitlab"
}, },
"original": { "original": {
@@ -29,11 +29,11 @@
] ]
}, },
"locked": { "locked": {
"lastModified": 1777518431, "lastModified": 1780679734,
"narHash": "sha256-SwgiG2T5pbyo33Vz7/vUCAhEMgwCK8Pa2nDSx5a6/WE=", "narHash": "sha256-KmRNvpNOb7QEORa06bVgjW9kITcx0VhsI7w0vhmZyD8=",
"owner": "nix-community", "owner": "nix-community",
"repo": "home-manager", "repo": "home-manager",
"rev": "2e54a938cdd4c8e414b2518edc3d82308027c670", "rev": "b2b7db486e06e098711dc291bb25db82850e1d16",
"type": "github" "type": "github"
}, },
"original": { "original": {
@@ -43,12 +43,15 @@
} }
}, },
"nixos-hardware": { "nixos-hardware": {
"inputs": {
"nixpkgs": "nixpkgs"
},
"locked": { "locked": {
"lastModified": 1776983936, "lastModified": 1780310866,
"narHash": "sha256-ZOQyNqSvJ8UdrrqU1p7vaFcdL53idK+LOM8oRWEWh6o=", "narHash": "sha256-fPBRVf6A5xlACYcOI59shGrjURuvwu0lRsDoSCEXt/I=",
"owner": "nixos", "owner": "nixos",
"repo": "nixos-hardware", "repo": "nixos-hardware",
"rev": "2096f3f411ce46e88a79ae4eafcfc9df8ed41c61", "rev": "4ed851c979641e28597a05086332d75cdc9e395f",
"type": "github" "type": "github"
}, },
"original": { "original": {
@@ -60,27 +63,24 @@
}, },
"nixpkgs": { "nixpkgs": {
"locked": { "locked": {
"lastModified": 1777268161, "lastModified": 1767892417,
"narHash": "sha256-bxrdOn8SCOv8tN4JbTF/TXq7kjo9ag4M+C8yzzIRYbE=", "narHash": "sha256-8bW3q88CEg2u4hSP66Vf4lpbLonHz7hqDNBMcCY7E9U=",
"owner": "nixos", "rev": "3497aa5c9457a9d88d71fa93a4a8368816fbeeba",
"repo": "nixpkgs", "type": "tarball",
"rev": "1c3fe55ad329cbcb28471bb30f05c9827f724c76", "url": "https://releases.nixos.org/nixos/unstable/nixos-26.05pre924538.3497aa5c9457/nixexprs.tar.xz"
"type": "github"
}, },
"original": { "original": {
"owner": "nixos", "type": "tarball",
"ref": "nixos-unstable", "url": "https://channels.nixos.org/nixos-unstable/nixexprs.tar.xz"
"repo": "nixpkgs",
"type": "github"
} }
}, },
"nixpkgs-master": { "nixpkgs-master": {
"locked": { "locked": {
"lastModified": 1777553282, "lastModified": 1780798858,
"narHash": "sha256-GCJkEogieqOYJ1BBhG0w9fqezul1cGdEcmBbJ+34F4U=", "narHash": "sha256-4KLc5ZMjfMQosXA2JasUgZTk3i+c/i1zMH4custtmI0=",
"owner": "nixos", "owner": "nixos",
"repo": "nixpkgs", "repo": "nixpkgs",
"rev": "0d93cb69a4fd4449088c69859e1836fda6eb9f6a", "rev": "92840095e65b9970125843175f4be974b71a92ad",
"type": "github" "type": "github"
}, },
"original": { "original": {
@@ -106,12 +106,28 @@
"type": "github" "type": "github"
} }
}, },
"nixpkgs_2": {
"locked": {
"lastModified": 1780243769,
"narHash": "sha256-x5UQuRsH3MqI0U9afaXSNqzTPSeZlRLvFAav2Ux1pNw=",
"owner": "nixos",
"repo": "nixpkgs",
"rev": "331800de5053fcebacf6813adb5db9c9dca22a0c",
"type": "github"
},
"original": {
"owner": "nixos",
"ref": "nixos-unstable",
"repo": "nixpkgs",
"type": "github"
}
},
"root": { "root": {
"inputs": { "inputs": {
"firefox-addons": "firefox-addons", "firefox-addons": "firefox-addons",
"home-manager": "home-manager", "home-manager": "home-manager",
"nixos-hardware": "nixos-hardware", "nixos-hardware": "nixos-hardware",
"nixpkgs": "nixpkgs", "nixpkgs": "nixpkgs_2",
"nixpkgs-master": "nixpkgs-master", "nixpkgs-master": "nixpkgs-master",
"nixpkgs-stable": "nixpkgs-stable", "nixpkgs-stable": "nixpkgs-stable",
"sops-nix": "sops-nix", "sops-nix": "sops-nix",
@@ -125,11 +141,11 @@
] ]
}, },
"locked": { "locked": {
"lastModified": 1777338324, "lastModified": 1780547341,
"narHash": "sha256-bc+ZZCmOTNq86/svGnw0tVpH7vJaLYvGLLKFYP08Q8E=", "narHash": "sha256-Gq8KNx5A7hBB3uGJaj6eQfLDIz5YdLu92gqBcvHvoUo=",
"owner": "Mic92", "owner": "Mic92",
"repo": "sops-nix", "repo": "sops-nix",
"rev": "8eaee5c45428b28b8c47a83e4c09dccec5f279b5", "rev": "9ed65852b6257fbeae4355bc24ecfea307ca759a",
"type": "github" "type": "github"
}, },
"original": { "original": {
-24
View File
@@ -1,24 +0,0 @@
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
lerna-debug.log*
node_modules
dist
dist-ssr
*.local
# Editor directories and files
.vscode/*
!.vscode/extensions.json
.idea
.DS_Store
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?
-1
View File
@@ -23,7 +23,6 @@
apscheduler apscheduler
fastapi fastapi
fastapi-cli fastapi-cli
faster-whisper
httpx httpx
mypy mypy
orjson orjson
@@ -0,0 +1,93 @@
"""adding audiobook libreary metadata.
Revision ID: d7864d1ffc17
Revises: c8a794340928
Create Date: 2026-06-03 20:24:09.200837
"""
from __future__ import annotations
from typing import TYPE_CHECKING
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 = "d7864d1ffc17"
down_revision: str | None = "c8a794340928"
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(
"audiobook_author",
sa.Column("name", sa.String(), nullable=False),
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
sa.PrimaryKeyConstraint("id", name=op.f("pk_audiobook_author")),
sa.UniqueConstraint("name", name=op.f("uq_audiobook_author_name")),
schema=schema,
)
op.create_table(
"audiobook_series",
sa.Column("name", sa.String(), nullable=False),
sa.Column("author_id", sa.Integer(), 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(
["author_id"],
[f"{schema}.audiobook_author.id"],
name=op.f("fk_audiobook_series_author_id_audiobook_author"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_audiobook_series")),
sa.UniqueConstraint("author_id", "name", name=op.f("uq_audiobook_series_author_id")),
schema=schema,
)
op.create_table(
"audiobook",
sa.Column("title", sa.String(), nullable=False),
sa.Column("author_id", sa.Integer(), nullable=False),
sa.Column("series_id", sa.Integer(), nullable=True),
sa.Column("series_index", sa.Integer(), 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(
["author_id"],
[f"{schema}.audiobook_author.id"],
name=op.f("fk_audiobook_author_id_audiobook_author"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["series_id"],
[f"{schema}.audiobook_series.id"],
name=op.f("fk_audiobook_series_id_audiobook_series"),
ondelete="SET NULL",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_audiobook")),
schema=schema,
)
# ### end Alembic commands ###
def downgrade() -> None:
"""Downgrade."""
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table("audiobook", schema=schema)
op.drop_table("audiobook_series", schema=schema)
op.drop_table("audiobook_author", schema=schema)
# ### end Alembic commands ###
+12
View File
@@ -4,10 +4,12 @@ from __future__ import annotations
from dataclasses import dataclass from dataclasses import dataclass
from typing import Self from typing import Self
from urllib.parse import quote
import httpx import httpx
DEFAULT_PAGE_SIZE = 100 DEFAULT_PAGE_SIZE = 100
EXPECTED_NO_CONTENT = 204
EXPECTED_CREATED = 201 EXPECTED_CREATED = 201
EXPECTED_OK = 200 EXPECTED_OK = 200
@@ -222,6 +224,16 @@ class GiteaClient:
json=payload, json=payload,
) )
def dispatch_workflow(self, *, owner: str, repo: str, workflow_id: str, ref: str) -> None:
"""Trigger a workflow_dispatch run."""
workflow_path = quote(workflow_id, safe="")
self._request(
"POST",
f"/api/v1/repos/{owner}/{repo}/actions/workflows/{workflow_path}/dispatches",
expected_statuses={EXPECTED_OK, EXPECTED_NO_CONTENT},
json={"ref": ref},
)
def list_run_jobs(self, *, owner: str, repo: str, run_id: str | int) -> list[WorkflowJob]: def list_run_jobs(self, *, owner: str, repo: str, run_id: str | int) -> list[WorkflowJob]:
"""List workflow jobs for a specific run.""" """List workflow jobs for a specific run."""
jobs: list[WorkflowJob] = [] jobs: list[WorkflowJob] = []
+10
View File
@@ -14,6 +14,7 @@ DEFAULT_BASE_BRANCH = "main"
DEFAULT_BRANCH = "automation/update-flake-lock" DEFAULT_BRANCH = "automation/update-flake-lock"
DEFAULT_GITEA_URL = "https://gitea.tmmworkshop.com" DEFAULT_GITEA_URL = "https://gitea.tmmworkshop.com"
PR_LABELS = ["dependencies", "automated", "flake_lock_update"] PR_LABELS = ["dependencies", "automated", "flake_lock_update"]
PR_CHECK_WORKFLOWS = ["build_systems.yml", "treefmt.yml", "pytest.yml"]
PR_TITLE = "Update flake.lock" PR_TITLE = "Update flake.lock"
PR_BODY = "Automated flake.lock update." PR_BODY = "Automated flake.lock update."
@@ -57,6 +58,12 @@ def find_flake_lock_pull_request(client: GiteaClient, *, owner: str, repo: str)
return pull_requests[0] return pull_requests[0]
def dispatch_pull_request_checks(client: GiteaClient, *, owner: str, repo: str, branch: str) -> None:
"""Dispatch the workflows that normally run for pull requests."""
for workflow in PR_CHECK_WORKFLOWS:
client.dispatch_workflow(owner=owner, repo=repo, workflow_id=workflow, ref=branch)
def has_worktree_changes() -> bool: def has_worktree_changes() -> bool:
"""Return whether `flake.lock` has worktree changes.""" """Return whether `flake.lock` has worktree changes."""
result = run_cmd(["git", "diff", "--quiet", "--", "flake.lock"], check=False) result = run_cmd(["git", "diff", "--quiet", "--", "flake.lock"], check=False)
@@ -113,6 +120,9 @@ def update(
branch=branch, branch=branch,
base=base, base=base,
) )
# We can remove this if Gitea fixes the following issue:
# https://github.com/go-gitea/gitea/issues/33963
dispatch_pull_request_checks(client, owner=owner, repo=repo_name, branch=branch)
typer.echo(pull_request.html_url or f"Pull request #{pull_request.number}") typer.echo(pull_request.html_url or f"Pull request #{pull_request.number}")
+4
View File
@@ -2,6 +2,7 @@
from __future__ import annotations from __future__ import annotations
from python.orm.richie.audiobook import Audiobook, AudiobookAuthor, AudiobookSeries
from python.orm.richie.base import RichieBase, TableBase, TableBaseBig, TableBaseSmall from python.orm.richie.base import RichieBase, TableBase, TableBaseBig, TableBaseSmall
from python.orm.richie.contact import ( from python.orm.richie.contact import (
Contact, Contact,
@@ -12,6 +13,9 @@ from python.orm.richie.contact import (
) )
__all__ = [ __all__ = [
"Audiobook",
"AudiobookAuthor",
"AudiobookSeries",
"Contact", "Contact",
"ContactNeed", "ContactNeed",
"ContactRelationship", "ContactRelationship",
+46
View File
@@ -0,0 +1,46 @@
"""Audiobook catalog models."""
from __future__ import annotations
from sqlalchemy import ForeignKey, String, UniqueConstraint
from sqlalchemy.orm import Mapped, mapped_column, relationship
from python.orm.richie.base import TableBase
class AudiobookAuthor(TableBase):
"""Canonical audiobook author."""
__tablename__ = "audiobook_author"
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")
class AudiobookSeries(TableBase):
"""Canonical audiobook series."""
__tablename__ = "audiobook_series"
__table_args__ = (UniqueConstraint("author_id", "name"),)
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")
books: Mapped[list[Audiobook]] = relationship("Audiobook", back_populates="series")
class Audiobook(TableBase):
"""Canonical audiobook title."""
__tablename__ = "audiobook"
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[int] = mapped_column(default=0)
author: Mapped[AudiobookAuthor] = relationship("AudiobookAuthor", back_populates="books")
series: Mapped[AudiobookSeries | None] = relationship("AudiobookSeries", back_populates="books")
+1
View File
@@ -0,0 +1 @@
"""Audiobook tools."""
+444
View File
@@ -0,0 +1,444 @@
"""Convert Audible AAX downloads into Audiobookshelf-friendly M4B files."""
from __future__ import annotations
import json
import logging
import shutil
import subprocess
from concurrent.futures import ThreadPoolExecutor
from dataclasses import asdict, dataclass
from os import getenv
from pathlib import Path # noqa: TC003 This is required for the typer CLI
from typing import TYPE_CHECKING, Annotated, Any
from uuid import uuid7
import typer
from python.common import configure_logger
from python.orm.common import get_postgres_engine
from python.tools.audiobook.metadata_agent import (
AgentConfig,
StandardBookMetadata,
standard_book_metadata,
write_agent_log,
)
if TYPE_CHECKING:
from sqlalchemy.engine import Engine
logger = logging.getLogger(__name__)
SENSITIVE_COMMAND_ARGUMENTS = {"-activation_bytes"}
@dataclass(frozen=True)
class ConversionConfig:
"""Runtime settings for one conversion command."""
resolved_output: Path
ollama_api_key: str
agent_config: AgentConfig
engine: Engine
activation_bytes: str | None
dry_run: bool
overwrite: bool
work_directory_name: str = ".audible_convert"
dry_run_directory_name: str = "dry-run"
temp_directory_name: str = "tmp"
log_directory_name: str = "logs"
review_directory_name: str = "review"
@dataclass(frozen=True)
class ConcurrentConversionResult:
"""Result from running ffmpeg and metadata resolution together."""
metadata: StandardBookMetadata | None
conversion_error: Exception | None
metadata_error: Exception | None
class CommandExecutionError(RuntimeError):
"""Command failed without exposing sensitive arguments."""
def __init__(self, arguments: list[str], returncode: int) -> None:
"""Create a redacted command failure."""
self.arguments = tuple(arguments)
self.returncode = returncode
command = " ".join(redact_command_arguments(arguments))
super().__init__(f"Command failed with exit code {returncode}: {command}")
def main(
input_directory: Annotated[Path, typer.Argument(help="Directory audible-cli downloads AAX files into.")],
output_directory: Annotated[Path, typer.Argument(help="Audiobook output directory.")],
*,
dry_run: Annotated[
bool,
typer.Option("--dry-run", help="Print planned output files and write marker files without converting."),
] = False,
overwrite: Annotated[bool, typer.Option("--overwrite", help="Overwrite existing M4B files.")] = False,
) -> None:
"""Convert AAX files from a download directory into M4B files."""
configure_logger()
resolved_input = input_directory.resolve(strict=True)
resolved_output = output_directory.resolve()
if not dry_run:
resolved_output.mkdir(parents=True, exist_ok=True)
ollama_api_key = getenv("OLLAMA_API_KEY")
if not ollama_api_key:
msg = "OLLAMA_API_KEY is required for audiobook metadata resolution"
raise RuntimeError(msg)
config = ConversionConfig(
resolved_output=resolved_output,
ollama_api_key=ollama_api_key,
agent_config=AgentConfig(),
engine=get_postgres_engine(name="RICHIE"),
activation_bytes=getenv("AUDIBLE_ACTIVATION_BYTES"),
dry_run=dry_run,
overwrite=overwrite,
)
aax_files = sorted(resolved_input.glob("*.aax"))
if not aax_files:
logger.info("No AAX files found in %s", resolved_input)
return
for aax_file in aax_files:
logger.info("Converting %s", aax_file)
convert_aax_file_with_agent(aax_file, config)
def run_command(arguments: list[str], *, capture: bool = False) -> subprocess.CompletedProcess[str]:
"""Run a command and return the completed process.
Args:
arguments: Command and arguments to run.
capture: Whether to capture stdout and stderr.
Returns:
The completed process.
"""
logger.debug("%s", " ".join(redact_command_arguments(arguments)))
try:
return subprocess.run(arguments, check=True, capture_output=capture, text=True)
except subprocess.CalledProcessError as error:
raise CommandExecutionError(arguments, error.returncode) from error
def redact_command_arguments(arguments: list[str]) -> list[str]:
"""Return command arguments with sensitive values redacted."""
redacted = []
redact_next = False
for argument in arguments:
if redact_next:
redacted.append("<redacted>")
redact_next = False
continue
redacted.append(argument)
redact_next = argument in SENSITIVE_COMMAND_ARGUMENTS
return redacted
def read_metadata(aax_file: Path) -> dict[str, str]:
"""Read ffprobe format tags from an AAX file.
Args:
aax_file: AAX file to inspect.
Returns:
Lower-cased metadata tag names mapped to their values.
"""
completed = run_command(
[
"ffprobe",
"-v",
"quiet",
"-print_format",
"json",
"-show_format",
str(aax_file),
],
capture=True,
)
ffprobe_data: dict[str, Any] = json.loads(completed.stdout)
tags = ffprobe_data.get("format", {}).get("tags", {})
return {str(key).lower(): str(value) for key, value in tags.items()}
def output_stem(metadata: StandardBookMetadata) -> str:
"""Build the output stem for a book.
Args:
metadata: Book metadata.
Returns:
Output stem in author-series_01-title form.
"""
return f"{metadata.author}-{metadata.series}_{metadata.series_index:02}-{metadata.title}"
def metadata_output_path(output_directory: Path, metadata: StandardBookMetadata) -> Path:
"""Build the final M4B path from resolved metadata."""
stem = output_stem(metadata)
return output_directory / stem / f"{stem}.m4b"
def convert_aax_file(
aax_file: Path,
destination: Path,
activation_bytes: str | None,
*,
overwrite: bool,
) -> None:
"""Convert an AAX file into an M4B file.
Args:
aax_file: Source AAX file.
destination: Destination M4B file.
activation_bytes: Optional Audible activation bytes for ffmpeg.
overwrite: Whether to overwrite an existing M4B.
"""
if destination.exists() and not overwrite:
logger.info("Skipping existing file %s", destination)
return
destination.parent.mkdir(parents=True, exist_ok=True)
arguments = ["ffmpeg", "-hide_banner", "-y" if overwrite else "-n"]
if activation_bytes:
arguments.extend(["-activation_bytes", activation_bytes])
arguments.extend(["-i", str(aax_file), "-map_metadata", "0", "-c", "copy", str(destination)])
run_command(arguments)
def write_review_file(
*,
destination: Path | None,
ffprobe_metadata: dict[str, str],
log_file: Path,
metadata: StandardBookMetadata | None,
reason: str,
review_file: Path,
source: Path,
temp_file: Path | None,
) -> None:
"""Write a manual review file for an unresolved conversion."""
review_file.parent.mkdir(parents=True, exist_ok=True)
payload = {
"destination": str(destination) if destination else None,
"ffprobe_metadata": ffprobe_metadata,
"metadata": asdict(metadata) if metadata else None,
"reason": reason,
"source": str(source),
"temp_file": str(temp_file) if temp_file else None,
}
review_file.write_text(json.dumps(payload, indent=2, sort_keys=True), encoding="utf-8")
write_agent_log(log_file, "review_written", path=str(review_file), reason=reason)
def cleanup_temp_output(temp_file: Path) -> None:
"""Remove a run's temporary output directory."""
shutil.rmtree(temp_file.parent, ignore_errors=True)
def dry_run_aax_file_with_agent(
aax_file: Path,
ffprobe_metadata: dict[str, str],
engine: Engine,
config: ConversionConfig,
log_file: Path,
review_file: Path,
) -> None:
"""Resolve and print the planned output path without converting."""
metadata = standard_book_metadata(
aax_file.name,
ffprobe_metadata,
engine,
log_file,
config.ollama_api_key,
config.agent_config,
)
destination = None if metadata.needs_review else metadata_output_path(config.resolved_output, metadata)
if metadata.needs_review:
write_review_file(
destination=destination,
ffprobe_metadata=ffprobe_metadata,
log_file=log_file,
metadata=metadata,
reason="metadata_needs_review",
review_file=review_file,
source=aax_file,
temp_file=None,
)
typer.echo(f"{aax_file} -> REVIEW {review_file}")
else:
stem = output_stem(metadata)
dry_run_file = (
config.resolved_output / config.work_directory_name / config.dry_run_directory_name / stem / f"{stem}.m4b"
)
dry_run_file.parent.mkdir(parents=True, exist_ok=True)
dry_run_file.write_text(f"{destination}\n", encoding="utf-8")
write_agent_log(
log_file,
"dry_run_file_written",
destination=str(destination),
path=str(dry_run_file),
)
typer.echo(f"{aax_file} -> {destination}")
def convert_temp_file_and_resolve_metadata(
aax_file: Path,
temp_file: Path,
ffprobe_metadata: dict[str, str],
config: ConversionConfig,
log_file: Path,
) -> ConcurrentConversionResult:
"""Run ffmpeg and metadata resolution in parallel."""
conversion_error: Exception | None = None
metadata_error: Exception | None = None
metadata: StandardBookMetadata | None = None
with ThreadPoolExecutor(max_workers=2) as executor:
conversion_future = executor.submit(
convert_aax_file,
aax_file,
temp_file,
config.activation_bytes,
overwrite=True,
)
metadata_future = executor.submit(
standard_book_metadata,
aax_file.name,
ffprobe_metadata,
config.engine,
log_file,
config.ollama_api_key,
config.agent_config,
)
conversion_error = conversion_future.exception()
if conversion_error is None:
conversion_future.result()
metadata_error = metadata_future.exception()
if metadata_error is None:
metadata = metadata_future.result()
return ConcurrentConversionResult(
metadata=metadata,
conversion_error=conversion_error,
metadata_error=metadata_error,
)
def convert_aax_file_with_agent(aax_file: Path, config: ConversionConfig) -> None:
"""Convert one AAX file using the metadata agent for the final path."""
run_id = uuid7().hex
log_file = config.resolved_output / config.work_directory_name / config.log_directory_name / f"{run_id}.jsonl"
review_file = config.resolved_output / config.work_directory_name / config.review_directory_name / f"{run_id}.json"
write_agent_log(log_file, "conversion_start", source=str(aax_file), dry_run=config.dry_run)
try:
ffprobe_metadata = read_metadata(aax_file)
except Exception as error:
logger.exception("ffprobe failed")
write_review_file(
destination=None,
ffprobe_metadata={},
log_file=log_file,
metadata=None,
reason=f"ffprobe_failed: {error}",
review_file=review_file,
source=aax_file,
temp_file=None,
)
return
if config.dry_run:
dry_run_aax_file_with_agent(
aax_file,
ffprobe_metadata,
config.engine,
config,
log_file,
review_file,
)
return
temp_file = (
config.resolved_output / config.work_directory_name / config.temp_directory_name / run_id / "converted.m4b"
)
temp_file.parent.mkdir(parents=True, exist_ok=True)
result = convert_temp_file_and_resolve_metadata(aax_file, temp_file, ffprobe_metadata, config, log_file)
if result.conversion_error:
reason = f"ffmpeg_failed: {result.conversion_error}"
write_review_file(
destination=None,
ffprobe_metadata=ffprobe_metadata,
log_file=log_file,
metadata=result.metadata,
reason=reason,
review_file=review_file,
source=aax_file,
temp_file=temp_file if temp_file.exists() else None,
)
return
if result.metadata_error:
write_review_file(
destination=None,
ffprobe_metadata=ffprobe_metadata,
log_file=log_file,
metadata=None,
reason=f"metadata_failed: {result.metadata_error}",
review_file=review_file,
source=aax_file,
temp_file=temp_file,
)
return
if result.metadata is None or result.metadata.needs_review:
write_review_file(
destination=None,
ffprobe_metadata=ffprobe_metadata,
log_file=log_file,
metadata=result.metadata,
reason="metadata_needs_review",
review_file=review_file,
source=aax_file,
temp_file=temp_file,
)
return
destination = metadata_output_path(config.resolved_output, result.metadata)
if destination.exists() and not config.overwrite:
write_agent_log(log_file, "destination_exists", destination=str(destination))
cleanup_temp_output(temp_file)
return
destination.parent.mkdir(parents=True, exist_ok=True)
try:
temp_file.replace(destination)
except Exception as error: # noqa: BLE001
write_review_file(
destination=destination,
ffprobe_metadata=ffprobe_metadata,
log_file=log_file,
metadata=result.metadata,
reason=f"rename_failed: {error}",
review_file=review_file,
source=aax_file,
temp_file=temp_file if temp_file.exists() else None,
)
else:
cleanup_temp_output(temp_file)
write_agent_log(log_file, "conversion_complete", destination=str(destination))
if __name__ == "__main__":
typer.run(main)
+176
View File
@@ -0,0 +1,176 @@
"""Import audiobook catalog authors and series from CSV files."""
from __future__ import annotations
import csv
import logging
from pathlib import Path # noqa: TC003 This is required for the typer CLI
from typing import Annotated
import typer
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.richie import AudiobookAuthor, AudiobookSeries
logger = logging.getLogger(__name__)
AUTHOR_NAME_COLUMN = "author_name"
ID_COLUMN = "id"
NAME_COLUMN = "name"
class CatalogImportError(ValueError):
"""CSV catalog import failed validation."""
def main(
authors_csv: Annotated[Path, typer.Argument(help="CSV with name and optional id.")],
series_csv: Annotated[Path, typer.Argument(help="CSV with name, author_name, and optional id.")],
) -> None:
"""Upsert audiobook authors and series from CSV files."""
configure_logger()
try:
engine = get_postgres_engine(name="RICHIE")
with Session(engine) as session:
author_count = upsert_authors_from_csv(session, authors_csv)
series_count = upsert_series_from_csv(session, series_csv)
session.commit()
except CatalogImportError as error:
typer.echo(str(error), err=True)
raise typer.Exit(code=1) from error
logger.info("Upserted %s authors and %s series", author_count, series_count)
def upsert_authors_from_csv(session: Session, authors_csv: Path) -> int:
"""Upsert authors from a CSV file."""
count = 0
for row_number, row in csv_rows(authors_csv):
name = required_csv_value(row, authors_csv, row_number, NAME_COLUMN)
upsert_author(session, name, csv_id(row, authors_csv, row_number))
count += 1
return count
def upsert_series_from_csv(session: Session, series_csv: Path) -> int:
"""Upsert series from a CSV file."""
count = 0
for row_number, row in csv_rows(series_csv):
series_name = required_csv_value(row, series_csv, row_number, NAME_COLUMN)
author_name = required_csv_value(row, series_csv, row_number, AUTHOR_NAME_COLUMN)
author = find_author_by_name(session, author_name)
if author is None:
msg = f"{series_csv}:{row_number}: author not found: {author_name}"
raise CatalogImportError(msg)
upsert_series(session, series_name, author, csv_id(row, series_csv, row_number))
count += 1
return count
def upsert_author(session: Session, name: str, author_id: int | None) -> AudiobookAuthor:
"""Upsert one author by id or exact name."""
if author_id is not None:
author = session.get(AudiobookAuthor, author_id)
if author is None:
author = AudiobookAuthor(id=author_id, name=name)
session.add(author)
else:
author.name = name
session.flush()
return author
author = find_author_by_name(session, name)
if author is None:
author = AudiobookAuthor(name=name)
session.add(author)
session.flush()
return author
def upsert_series(
session: Session,
name: str,
author: AudiobookAuthor,
series_id: int | None,
) -> AudiobookSeries:
"""Upsert one series by id or exact author/name match."""
if series_id is not None:
series = session.get(AudiobookSeries, series_id)
if series is None:
series = AudiobookSeries(id=series_id, name=name, author=author)
session.add(series)
else:
series.name = name
series.author = author
session.flush()
return series
series = find_series_by_name_and_author(session, name, author.id)
if series is None:
series = AudiobookSeries(name=name, author=author)
session.add(series)
session.flush()
return series
def find_author_by_name(session: Session, name: str) -> AudiobookAuthor | None:
"""Find one author by exact name."""
return session.scalar(select(AudiobookAuthor).where(AudiobookAuthor.name == name))
def find_series_by_name_and_author(
session: Session,
name: str,
author_id: int,
) -> AudiobookSeries | None:
"""Find one series by exact name and author."""
return session.scalar(
select(AudiobookSeries).where(
AudiobookSeries.name == name,
AudiobookSeries.author_id == author_id,
),
)
def csv_rows(csv_path: Path) -> list[tuple[int, dict[str, str | None]]]:
"""Read a CSV file as numbered rows."""
with csv_path.open(newline="", encoding="utf-8") as file:
reader = csv.DictReader(file)
if reader.fieldnames is None:
msg = f"{csv_path}: missing CSV header"
raise CatalogImportError(msg)
return [(row_number, row) for row_number, row in enumerate(reader, start=2)]
def required_csv_value(
row: dict[str, str | None],
csv_path: Path,
row_number: int,
column: str,
) -> str:
"""Read a required CSV value."""
value = row.get(column)
if value and value.strip():
return value.strip()
msg = f"{csv_path}:{row_number}: missing required column value: {column}"
raise CatalogImportError(msg)
def csv_id(row: dict[str, str | None], csv_path: Path, row_number: int) -> int | None:
"""Read an optional id field from a CSV row."""
value = row.get(ID_COLUMN)
if value is None or not value.strip():
return None
try:
return int(value)
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__":
typer.run(main)
+565
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"""LLM tool calling support for audiobook metadata resolution."""
from __future__ import annotations
import json
import re
import time
from collections.abc import Callable
from dataclasses import dataclass
from typing import TYPE_CHECKING
from sqlalchemy import or_, select
from python.orm.richie import Audiobook, AudiobookAuthor, AudiobookSeries
if TYPE_CHECKING:
from pathlib import Path
from sqlalchemy.orm import Session
from python.tools.audiobook.metadata_agent import AgentConfig
CATALOG_SLUG_PATTERN = re.compile(r"^[a-z0-9]+(?:_[a-z0-9]+)*$")
TITLE_SLUG_PATTERN = re.compile(r"^[a-z0-9]+(?:-[a-z0-9]+)*$")
LogWriter = Callable[..., None]
class MetadataResolutionError(ValueError):
"""Metadata resolution failed validation."""
@dataclass(frozen=True)
class EnsuredBook:
"""Book row plus whether it was created."""
book: Audiobook
action: str
class CatalogToolRegistry:
"""Controlled catalog tools exposed to the metadata model."""
def __init__(
self,
session: Session,
log_path: Path,
config: AgentConfig,
write_log: LogWriter,
) -> None:
"""Create a registry bound to one database session and audit log."""
self.session = session
self.log_path = log_path
self.config = config
self.write_log = write_log
self.seen_author_ids: set[int] = set()
self.seen_series_ids: set[int] = set()
self.seen_book_ids: set[int] = set()
self.created_author_ids: set[int] = set()
self.created_series_ids: set[int] = set()
self.created_book_ids: set[int] = set()
def tool_schemas(self) -> list[dict[str, object]]:
"""Return Ollama tool schemas."""
schemas = [
{
"type": "function",
"function": {
"name": "search_authors",
"description": "Search canonical audiobook authors by slug or noisy source text.",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
},
},
{
"type": "function",
"function": {
"name": "search_series",
"description": "Search canonical audiobook series by slug or noisy source text.",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string"},
"author_id": {"type": ["integer", "null"]},
},
"required": ["query"],
},
},
},
{
"type": "function",
"function": {
"name": "search_books",
"description": "Search canonical audiobook titles with optional author and series filters.",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string"},
"author_id": {"type": ["integer", "null"]},
"series_id": {"type": ["integer", "null"]},
},
"required": ["query"],
},
},
},
{
"type": "function",
"function": {
"name": "ensure_author",
"description": "Normalize an author name to a catalog slug, then return or create that author.",
"parameters": {
"type": "object",
"properties": {"name": {"type": "string"}},
"required": ["name"],
},
},
},
{
"type": "function",
"function": {
"name": "ensure_series",
"description": "Normalize a series name to a catalog slug, then return or create it for an author.",
"parameters": {
"type": "object",
"properties": {
"name": {"type": "string"},
"author_id": {"type": "integer"},
},
"required": ["name", "author_id"],
},
},
},
{
"type": "function",
"function": {
"name": "ensure_book",
"description": "Normalize a title to a book slug, then return or create it for an author/series.",
"parameters": {
"type": "object",
"properties": {
"title": {"type": "string"},
"author_id": {"type": "integer"},
"series_id": {"type": ["integer", "null"]},
"series_index": {"type": "integer"},
},
"required": ["title", "author_id", "series_id", "series_index"],
},
},
},
]
enabled_tool_names = set(self.config.tool_names)
return [schema for schema in schemas if schema["function"]["name"] in enabled_tool_names]
def run(self, name: str, arguments: dict[str, object]) -> list[dict[str, object]]:
"""Run one catalog tool and audit the call."""
handlers = {
"search_authors": self.run_search_authors,
"search_series": self.run_search_series,
"search_books": self.run_search_books,
"ensure_author": self.run_ensure_author,
"ensure_series": self.run_ensure_series,
"ensure_book": self.run_ensure_book,
}
handler = handlers.get(name)
if handler is None:
self.write_log(self.log_path, "tool_error", tool=name, arguments=arguments, error="unknown_tool")
msg = f"Unknown audiobook metadata tool: {name}"
raise MetadataResolutionError(msg)
if name not in self.config.tool_names:
self.write_log(self.log_path, "tool_error", tool=name, arguments=arguments, error="tool_not_enabled")
msg = f"Audiobook metadata tool is not enabled: {name}"
raise MetadataResolutionError(msg)
started = time.perf_counter()
self.write_log(self.log_path, "tool_call", tool=name, arguments=arguments)
result = handler(arguments)
duration_ms = round((time.perf_counter() - started) * 1000, 3)
self.write_log(
self.log_path,
"tool_result",
tool=name,
duration_ms=duration_ms,
result_count=len(result),
preview=result[:3],
)
return result
def get_author(self, author_id: int) -> AudiobookAuthor | None:
"""Return an author by id."""
return self.session.get(AudiobookAuthor, author_id)
def get_book(self, book_id: int) -> Audiobook | None:
"""Return a book by id."""
return self.session.get(Audiobook, book_id)
def get_series(self, series_id: int) -> AudiobookSeries | None:
"""Return a series by id."""
return self.session.get(AudiobookSeries, series_id)
def prune_unused_created_rows(self, *, author_id: int, book_id: int | None, series_id: int | None) -> None:
"""Remove catalog rows created during this run but not used by final metadata."""
used_book_ids = {book_id} if book_id is not None else set()
for created_book_id in self.created_book_ids - used_book_ids:
if book := self.get_book(created_book_id):
self.session.delete(book)
self.session.flush()
used_series_ids = {series_id} if series_id is not None else set()
for created_series_id in self.created_series_ids - used_series_ids:
series = self.get_series(created_series_id)
if series and not series.books:
self.session.delete(series)
self.session.flush()
for created_author_id in self.created_author_ids - {author_id}:
author = self.get_author(created_author_id)
if author and not author.books and not author.series:
self.session.delete(author)
def run_search_authors(self, arguments: dict[str, object]) -> list[dict[str, object]]:
"""Search authors from tool arguments and remember returned ids."""
query = required_string(arguments, "query")
statement = select(AudiobookAuthor).order_by(AudiobookAuthor.name).limit(self.config.max_tool_results)
if terms := query_terms(query):
statement = statement.where(or_(*(AudiobookAuthor.name.ilike(f"%{term}%") for term in terms)))
authors = self.session.scalars(statement).all()
self.seen_author_ids.update(author.id for author in authors)
return [{"id": author.id, "name": author.name} for author in authors]
def run_search_series(self, arguments: dict[str, object]) -> list[dict[str, object]]:
"""Search series from tool arguments and remember returned ids."""
query = required_string(arguments, "query")
author_id = optional_int(arguments.get("author_id"), "author_id")
statement = select(AudiobookSeries).order_by(AudiobookSeries.name).limit(self.config.max_tool_results)
if terms := query_terms(query):
statement = statement.where(or_(*(AudiobookSeries.name.ilike(f"%{term}%") for term in terms)))
if author_id is not None:
statement = statement.where(AudiobookSeries.author_id == author_id)
series_rows = self.session.scalars(statement).all()
self.seen_series_ids.update(series.id for series in series_rows)
self.seen_author_ids.update(series.author_id for series in series_rows)
return [
{
"id": series.id,
"name": series.name,
"author_id": series.author_id,
"author": series.author.name,
}
for series in series_rows
]
def run_search_books(self, arguments: dict[str, object]) -> list[dict[str, object]]:
"""Search books from tool arguments and remember returned ids."""
query = required_string(arguments, "query")
author_id = optional_int(arguments.get("author_id"), "author_id")
series_id = optional_int(arguments.get("series_id"), "series_id")
statement = select(Audiobook).order_by(Audiobook.title).limit(self.config.max_tool_results)
if terms := query_terms(query):
statement = statement.where(or_(*(Audiobook.title.ilike(f"%{term}%") for term in terms)))
if author_id is not None:
statement = statement.where(Audiobook.author_id == author_id)
if series_id is not None:
statement = statement.where(Audiobook.series_id == series_id)
books = self.session.scalars(statement).all()
self.seen_book_ids.update(book.id for book in books)
self.seen_author_ids.update(book.author_id for book in books)
self.seen_series_ids.update(book.series_id for book in books if book.series_id is not None)
return [
{
"id": book.id,
"title": book.title,
"author_id": book.author_id,
"author": book.author.name,
"series_id": book.series_id,
"series": book.series.name if book.series else self.config.standalone_series,
"series_index": book.series_index,
}
for book in books
]
def run_ensure_author(self, arguments: dict[str, object]) -> list[dict[str, object]]:
"""Ensure an author from tool arguments and return a tool result."""
name = normalize_catalog_slug(required_string(arguments, "name"))
validate_catalog_slug(name, "author")
author = self.session.scalar(select(AudiobookAuthor).where(AudiobookAuthor.name == name))
action = "existing"
if author is None:
author = AudiobookAuthor(name=name)
self.session.add(author)
self.session.flush()
self.created_author_ids.add(author.id)
action = "created"
self.seen_author_ids.add(author.id)
return [{"id": author.id, "name": author.name, "action": action}]
def run_ensure_series(self, arguments: dict[str, object]) -> list[dict[str, object]]:
"""Ensure a series from tool arguments and return a tool result."""
name = normalize_catalog_slug(required_string(arguments, "name"))
author_id = required_int(arguments, "author_id")
validate_catalog_slug(name, "series")
author = self.required_author(author_id)
series = self.session.scalar(
select(AudiobookSeries).where(
AudiobookSeries.name == name,
AudiobookSeries.author_id == author.id,
),
)
action = "existing"
if series is None:
series = AudiobookSeries(name=name, author=author)
self.session.add(series)
self.session.flush()
self.created_series_ids.add(series.id)
action = "created"
self.seen_author_ids.add(author.id)
self.seen_series_ids.add(series.id)
return [self.series_result(series, action)]
def run_ensure_book(self, arguments: dict[str, object]) -> list[dict[str, object]]:
"""Ensure a book from tool arguments and return a tool result."""
title = required_string(arguments, "title")
author_id = required_int(arguments, "author_id")
series_id = optional_int(arguments.get("series_id"), "series_id")
series_index = required_int(arguments, "series_index")
ensured = self.ensure_book(title, author_id, series_id, series_index)
return [self.book_result(ensured.book, ensured.action)]
def ensure_book(
self,
title: str,
author_id: int,
series_id: int | None,
series_index: int,
) -> EnsuredBook:
"""Return an existing book row, or create it after validating ownership."""
title = normalize_title_slug(title)
validate_title_slug(title)
author = self.required_author(author_id)
series = None
if series_id is None:
if series_index != 0:
msg = "standalone books must use series_index 0"
raise MetadataResolutionError(msg)
else:
series = self.required_series(series_id)
if series.author_id != author.id:
msg = f"series_id {series_id} does not belong to author_id {author_id}"
raise MetadataResolutionError(msg)
if series_index <= 0:
msg = "series books must use a positive series_index"
raise MetadataResolutionError(msg)
statement = select(Audiobook).where(
Audiobook.title == title,
Audiobook.author_id == author.id,
)
if series is None:
statement = statement.where(Audiobook.series_id.is_(None))
else:
statement = statement.where(Audiobook.series_id == series.id)
book = self.session.scalar(statement)
if book is None:
book = Audiobook(title=title, author=author, series=series, series_index=series_index)
self.session.add(book)
self.session.flush()
self.created_book_ids.add(book.id)
action = "created"
else:
action = "existing"
self.seen_book_ids.add(book.id)
self.seen_author_ids.add(author.id)
if book.series_id is not None:
self.seen_series_ids.add(book.series_id)
return EnsuredBook(book=book, action=action)
def required_author(self, author_id: int) -> AudiobookAuthor:
"""Return an author or fail metadata resolution."""
author = self.get_author(author_id)
if author is None:
msg = f"author_id {author_id} does not exist"
raise MetadataResolutionError(msg)
return author
def required_series(self, series_id: int) -> AudiobookSeries:
"""Return a series or fail metadata resolution."""
series = self.get_series(series_id)
if series is None:
msg = f"series_id {series_id} does not exist"
raise MetadataResolutionError(msg)
return series
def series_result(self, series: AudiobookSeries, action: str) -> dict[str, object]:
"""Build a normalized series tool result."""
return {
"id": series.id,
"name": series.name,
"author_id": series.author_id,
"author": series.author.name,
"action": action,
}
def book_result(self, book: Audiobook, action: str) -> dict[str, object]:
"""Build a normalized book tool result."""
return {
"id": book.id,
"title": book.title,
"author_id": book.author_id,
"author": book.author.name,
"series_id": book.series_id,
"series": book.series.name if book.series else self.config.standalone_series,
"series_index": book.series_index,
"action": action,
}
def run_tool_calls(
messages: list[dict[str, object]],
message: dict[str, object],
tool_calls: list[tuple[str, dict[str, object]]],
registry: CatalogToolRegistry,
log_path: Path,
write_log: LogWriter,
) -> str | None:
"""Run tool calls, append tool messages, and return fatal error text when stopped."""
messages.append(message)
for tool_name, arguments in tool_calls:
try:
tool_result = registry.run(tool_name, arguments)
except MetadataResolutionError as error:
if is_fatal_tool_error(error):
return str(error)
write_log(log_path, "tool_error", tool=tool_name, arguments=arguments, error=str(error))
messages.append(
{
"role": "tool",
"tool_name": tool_name,
"content": json.dumps({"error": str(error)}, sort_keys=True),
},
)
continue
messages.append(
{
"role": "tool",
"tool_name": tool_name,
"content": json.dumps(tool_result, sort_keys=True),
},
)
return None
def parse_tool_calls(message: dict[str, object]) -> list[tuple[str, dict[str, object]]]:
"""Parse Ollama tool calls from a response message."""
raw_tool_calls = message.get("tool_calls") or []
if not isinstance(raw_tool_calls, list):
msg = "tool_calls must be a list"
raise MetadataResolutionError(msg)
tool_calls = []
for raw_call in raw_tool_calls:
if not isinstance(raw_call, dict):
msg = "tool call must be an object"
raise MetadataResolutionError(msg)
function = raw_call.get("function")
if not isinstance(function, dict):
msg = "tool call is missing function"
raise MetadataResolutionError(msg)
name = function.get("name")
if not isinstance(name, str) or not name:
msg = "tool call is missing function name"
raise MetadataResolutionError(msg)
arguments = parse_tool_arguments(function.get("arguments", {}))
tool_calls.append((name, arguments))
return tool_calls
def parse_tool_arguments(raw_arguments: object) -> dict[str, object]:
"""Parse tool call arguments returned by Ollama."""
if isinstance(raw_arguments, dict):
return {str(key): value for key, value in raw_arguments.items()}
if isinstance(raw_arguments, str):
parsed = json.loads(raw_arguments) if raw_arguments else {}
if isinstance(parsed, dict):
return {str(key): value for key, value in parsed.items()}
msg = "tool arguments must be an object"
raise MetadataResolutionError(msg)
def validate_title_slug(title: str) -> None:
"""Validate a canonical book title slug."""
if not TITLE_SLUG_PATTERN.fullmatch(title):
msg = f"title slug is invalid: {title}"
raise MetadataResolutionError(msg)
def validate_catalog_slug(value: str, label: str) -> None:
"""Validate a canonical catalog slug."""
if not CATALOG_SLUG_PATTERN.fullmatch(value):
msg = f"{label} slug is invalid: {value}"
raise MetadataResolutionError(msg)
def normalize_catalog_slug(value: str) -> str:
"""Normalize noisy catalog names into lower snake-case slugs."""
return re.sub(r"[^a-z0-9]+", "_", value.strip().casefold()).strip("_")
def normalize_title_slug(value: str) -> str:
"""Normalize noisy book titles into lower kebab-case slugs."""
return re.sub(r"[^a-z0-9]+", "-", value.strip().casefold()).strip("-")
def is_fatal_tool_error(error: MetadataResolutionError) -> bool:
"""Return whether a tool error should stop the agent immediately."""
message = str(error)
return message.startswith(
(
"Unknown audiobook metadata tool",
"Audiobook metadata tool is not enabled",
),
)
def query_terms(query: str) -> tuple[str, ...]:
"""Return text variants useful for matching noisy audiobook metadata."""
normalized = query.strip().casefold()
underscore_slug = normalize_catalog_slug(normalized)
hyphen_slug = normalize_title_slug(normalized)
return tuple(dict.fromkeys(term for term in (normalized, underscore_slug, hyphen_slug) if term))
def required_string(data: dict[str, object], key: str) -> str:
"""Read a required string field."""
value = data.get(key)
if not isinstance(value, str) or not value.strip():
msg = f"{key} must be a non-empty string"
raise MetadataResolutionError(msg)
return value.strip()
def required_int(data: dict[str, object], key: str) -> int:
"""Read a required integer field."""
value = data.get(key)
if isinstance(value, bool) or not isinstance(value, int):
msg = f"{key} must be an integer"
raise MetadataResolutionError(msg)
return value
def optional_int(value: object, key: str) -> int | None:
"""Read an optional integer field."""
if value is None:
return None
if isinstance(value, bool) or not isinstance(value, int):
msg = f"{key} must be an integer or null"
raise MetadataResolutionError(msg)
return value
+572
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"""Resolve audiobook metadata with a controlled Ollama tool loop."""
from __future__ import annotations
import json
import re
from dataclasses import asdict, dataclass, is_dataclass, replace
from os import PathLike
from typing import TYPE_CHECKING
import httpx
from sqlalchemy.orm import Session
from python.common import utcnow
from python.tools.audiobook.llm_tool_calling import (
CatalogToolRegistry,
MetadataResolutionError,
normalize_title_slug,
optional_int,
parse_tool_calls,
required_int,
required_string,
run_tool_calls,
validate_catalog_slug,
validate_title_slug,
)
if TYPE_CHECKING:
from pathlib import Path
from sqlalchemy.engine import Engine
from python.orm.richie import AudiobookAuthor
FENCED_JSON_PATTERN = re.compile(r"^```(?:json)?\s*(?P<json>.*?)\s*```$", re.IGNORECASE | re.DOTALL)
@dataclass(frozen=True)
class AgentConfig:
"""Runtime settings for the audiobook metadata agent."""
model: str = "deepseek-v4-flash:cloud"
ollama_chat_url: str = "https://ollama.com/api/chat"
http_timeout_seconds: int = 300
max_agent_turns: int = 8
max_tool_results: int = 10
min_confidence: float = 0.85
invalid_final_retries: int = 1
standalone_series: str = "standalone"
tool_names: tuple[str, ...] = (
"search_authors",
"search_series",
"search_books",
"ensure_author",
"ensure_series",
"ensure_book",
)
@dataclass(frozen=True)
class StandardBookMetadata:
"""Canonical metadata for the final audiobook path."""
author_id: int
author: str
book_id: int | None
title: str
series_id: int | None
series: str
series_index: int
confidence: float
needs_review: bool
evidence: list[str]
@dataclass(frozen=True)
class FinalMetadataFields:
"""Raw model fields after schema validation."""
author_id: int
book_id: int | None
title: str
series_id: int | None
series_index: int
confidence: float
evidence: list[str]
@dataclass(frozen=True)
class ResolvedBookFields:
"""Book fields after optional catalog book resolution."""
book_id: int | None
title: str
series_id: int | None
series_index: int
@dataclass(frozen=True)
class AgentStepResult:
"""Outcome from one model response."""
metadata: StandardBookMetadata | None
invalid_final_count: int
should_continue: bool
def standard_book_metadata(
aax_file_name: str,
aax_metadata_from_ffprobe: dict[str, str],
engine: Engine,
log_path: Path,
ollama_api_key: str,
config: AgentConfig,
) -> StandardBookMetadata:
"""Resolve canonical audiobook metadata with the configured Ollama Cloud model."""
with Session(engine) as session:
registry = CatalogToolRegistry(session, log_path, config, write_agent_log)
agent = AudiobookMetadataAgent(
registry=registry, log_path=log_path, ollama_api_key=ollama_api_key, config=config
)
metadata = agent.run(aax_file_name, aax_metadata_from_ffprobe)
if metadata.needs_review:
session.rollback()
else:
registry.prune_unused_created_rows(
author_id=metadata.author_id,
book_id=metadata.book_id,
series_id=metadata.series_id,
)
session.commit()
return metadata
class AudiobookMetadataAgent:
"""Ollama-backed metadata resolver with a fixed local tool registry."""
def __init__(
self,
*,
registry: CatalogToolRegistry,
log_path: Path,
ollama_api_key: str,
config: AgentConfig,
) -> None:
"""Create an Ollama metadata agent."""
self._registry = registry
self._log_path = log_path
self._ollama_api_key = ollama_api_key
self._config = config
def run(self, aax_file_name: str, aax_metadata_from_ffprobe: dict[str, str]) -> StandardBookMetadata:
"""Resolve metadata for one AAX file."""
messages = [
{"role": "system", "content": system_prompt()},
{"role": "user", "content": user_prompt(aax_file_name, aax_metadata_from_ffprobe)},
]
invalid_final_count = 0
result: StandardBookMetadata | None = None
for turn in range(1, self._config.max_agent_turns + 1):
step = self.run_step(messages, turn, invalid_final_count)
invalid_final_count = step.invalid_final_count
if step.should_continue:
continue
result = step.metadata
break
if result is None:
return self.force_final_response(messages)
return result
def run_step(
self,
messages: list[dict[str, object]],
turn: int,
invalid_final_count: int,
) -> AgentStepResult:
"""Run one model turn and return the next agent-loop action."""
data = self.chat(messages, turn)
message = data.get("message")
if not isinstance(message, dict):
return AgentStepResult(
metadata=review_metadata("Ollama response did not include a message", self._config),
invalid_final_count=invalid_final_count,
should_continue=False,
)
try:
tool_calls = parse_tool_calls(message)
except (json.JSONDecodeError, MetadataResolutionError) as error:
return AgentStepResult(
metadata=review_metadata(str(error), self._config),
invalid_final_count=invalid_final_count,
should_continue=False,
)
if tool_calls:
fatal_error = run_tool_calls(messages, message, tool_calls, self._registry, self._log_path, write_agent_log)
if fatal_error is not None:
return AgentStepResult(
metadata=review_metadata(fatal_error, self._config),
invalid_final_count=invalid_final_count,
should_continue=False,
)
return AgentStepResult(metadata=None, invalid_final_count=invalid_final_count, should_continue=True)
return self.handle_final_message(messages, message, invalid_final_count)
def handle_final_message(
self,
messages: list[dict[str, object]],
message: dict[str, object],
invalid_final_count: int,
) -> AgentStepResult:
"""Validate a final model message or request one retry."""
content = message.get("content")
if not isinstance(content, str):
return AgentStepResult(
metadata=review_metadata("Ollama final response did not include string content", self._config),
invalid_final_count=invalid_final_count,
should_continue=False,
)
try:
resolved = self.validate_final(parse_final_json_content(content))
except (json.JSONDecodeError, MetadataResolutionError) as error:
return self.handle_invalid_final(messages, error, invalid_final_count)
write_agent_log(self._log_path, "final_metadata", metadata=resolved)
return AgentStepResult(metadata=resolved, invalid_final_count=invalid_final_count, should_continue=False)
def handle_invalid_final(
self,
messages: list[dict[str, object]],
error: json.JSONDecodeError | MetadataResolutionError,
invalid_final_count: int,
) -> AgentStepResult:
"""Log invalid final JSON and either retry or return review metadata."""
invalid_final_count += 1
write_agent_log(
self._log_path,
"final_validation_error",
error=str(error),
invalid_final_count=invalid_final_count,
)
if invalid_final_count > self._config.invalid_final_retries:
return AgentStepResult(
metadata=review_metadata(str(error), self._config),
invalid_final_count=invalid_final_count,
should_continue=False,
)
messages.append(
{
"role": "user",
"content": (
"Your previous final answer was invalid. Return only valid JSON matching the required "
f"schema. Validation error: {error}"
),
},
)
return AgentStepResult(metadata=None, invalid_final_count=invalid_final_count, should_continue=True)
def force_final_response(self, messages: list[dict[str, object]]) -> StandardBookMetadata:
"""Request a no-tool final answer after the normal turn limit."""
messages.append({"role": "user", "content": forced_final_prompt()})
write_agent_log(self._log_path, "forced_final_request", reason="max_turns")
data = self.chat(messages, self._config.max_agent_turns + 1, tools_enabled=False)
message = data.get("message")
if not isinstance(message, dict):
return review_metadata("Ollama forced final response did not include a message", self._config)
content = message.get("content")
if not isinstance(content, str):
return review_metadata("Ollama forced final response did not include string content", self._config)
try:
resolved = self.validate_final(parse_final_json_content(content))
except (json.JSONDecodeError, MetadataResolutionError) as error:
return review_metadata(f"Ollama forced final response was invalid: {error}", self._config)
write_agent_log(self._log_path, "final_metadata", metadata=resolved)
return resolved
def chat(self, messages: list[dict[str, object]], turn: int, *, tools_enabled: bool = True) -> dict[str, object]:
"""Send one chat request to Ollama and log the request and response."""
payload = {
"model": self._config.model,
"messages": messages,
"stream": False,
"options": {"temperature": 0},
}
tool_names = []
if tools_enabled:
payload["tools"] = self._registry.tool_schemas()
tool_names = self._config.tool_names
write_agent_log(
self._log_path,
"model_request",
model=self._config.model,
turn=turn,
message_count=len(messages),
tool_names=tool_names,
tools_enabled=tools_enabled,
)
write_agent_log(
self._log_path,
"llm_messages_sent",
model=self._config.model,
turn=turn,
messages=messages,
tools_enabled=tools_enabled,
)
response = httpx.post(
self._config.ollama_chat_url,
headers={"Authorization": f"Bearer {self._ollama_api_key}"},
json=payload,
timeout=self._config.http_timeout_seconds,
)
response.raise_for_status()
raw_data = response.json()
if not isinstance(raw_data, dict):
return {}
data = {str(key): value for key, value in raw_data.items()}
message = data.get("message", {})
content = message.get("content") if isinstance(message, dict) else ""
write_agent_log(
self._log_path,
"llm_message_received",
model=self._config.model,
turn=turn,
message=message,
)
write_agent_log(
self._log_path,
"model_response",
model=self._config.model,
turn=turn,
has_tool_calls=bool(isinstance(message, dict) and message.get("tool_calls")),
content_chars=len(content) if isinstance(content, str) else 0,
)
return data
def validate_final(self, raw_metadata: object) -> StandardBookMetadata:
"""Validate final model metadata against catalog rows."""
fields = parse_final_metadata_fields(raw_metadata)
fields = replace(fields, title=normalize_title_slug(fields.title))
author = self.validate_author(fields.author_id)
validate_title_slug(fields.title)
book_fields = self.resolve_book_fields(fields)
series = self.validate_series(fields.author_id, book_fields.series_id, book_fields.series_index)
return StandardBookMetadata(
author_id=fields.author_id,
author=author.name,
book_id=book_fields.book_id,
title=book_fields.title,
series_id=book_fields.series_id,
series=series,
series_index=book_fields.series_index,
confidence=fields.confidence,
needs_review=fields.confidence < self._config.min_confidence,
evidence=fields.evidence,
)
def validate_author(self, author_id: int) -> AudiobookAuthor:
"""Validate that an author id was seen and exists."""
if author_id not in self._registry.seen_author_ids:
msg = f"author_id {author_id} was not returned by search_authors"
raise MetadataResolutionError(msg)
author = self._registry.get_author(author_id)
if author is None:
msg = f"author_id {author_id} does not exist"
raise MetadataResolutionError(msg)
validate_catalog_slug(author.name, "author")
return author
def resolve_book_fields(self, fields: FinalMetadataFields) -> ResolvedBookFields:
"""Resolve final book fields from a seen book id or created book."""
if fields.book_id is None:
ensured = self._registry.ensure_book(
fields.title,
fields.author_id,
fields.series_id,
fields.series_index,
)
return ResolvedBookFields(
book_id=ensured.book.id,
title=ensured.book.title,
series_id=ensured.book.series_id,
series_index=ensured.book.series_index,
)
if fields.book_id not in self._registry.seen_book_ids:
msg = f"book_id {fields.book_id} was not returned by search_books"
raise MetadataResolutionError(msg)
book = self._registry.get_book(fields.book_id)
if book is None:
msg = f"book_id {fields.book_id} does not exist"
raise MetadataResolutionError(msg)
if book.author_id != fields.author_id:
msg = f"book_id {fields.book_id} does not belong to author_id {fields.author_id}"
raise MetadataResolutionError(msg)
return ResolvedBookFields(
book_id=fields.book_id,
title=book.title,
series_id=book.series_id,
series_index=book.series_index,
)
def validate_series(self, author_id: int, series_id: int | None, series_index: int) -> str:
"""Validate final series fields and return the canonical series slug."""
if series_id is None:
if series_index != 0:
msg = "standalone books must use series_index 0"
raise MetadataResolutionError(msg)
return self._config.standalone_series
if series_id not in self._registry.seen_series_ids:
msg = f"series_id {series_id} was not returned by search_series"
raise MetadataResolutionError(msg)
series = self._registry.get_series(series_id)
if series is None:
msg = f"series_id {series_id} does not exist"
raise MetadataResolutionError(msg)
if series.author_id != author_id:
msg = f"series_id {series_id} does not belong to author_id {author_id}"
raise MetadataResolutionError(msg)
if series_index <= 0:
msg = "series books must use a positive series_index"
raise MetadataResolutionError(msg)
validate_catalog_slug(series.name, "series")
return series.name
def write_agent_log(log_path: Path, event: str, **fields: object) -> None:
"""Append one JSONL audit event."""
log_path.parent.mkdir(parents=True, exist_ok=True)
record = {
"created": utcnow().isoformat(),
"event": event,
**{key: json_log_value(value) for key, value in fields.items()},
}
with log_path.open("a", encoding="utf-8") as file:
file.write(json.dumps(record, sort_keys=True))
file.write("\n")
def json_log_value(value: object) -> object:
"""Return a JSON-serializable value for audit logs."""
if is_dataclass(value) and not isinstance(value, type):
return json_log_value(asdict(value))
if isinstance(value, dict):
return {str(key): json_log_value(item) for key, item in value.items()}
if isinstance(value, list | tuple):
return [json_log_value(item) for item in value]
if isinstance(value, set):
return [json_log_value(item) for item in sorted(value, key=str)]
if isinstance(value, PathLike):
return str(value)
return value
def system_prompt() -> str:
"""Return the stable system prompt."""
return """You standardize Audible audiobook metadata against a private catalog.
Rules:
- You must use the provided tools before returning final metadata.
- Only use author_id, series_id, or book_id values returned by tools.
- Return final metadata as JSON only. Do not wrap it in Markdown.
- The final JSON object must contain author_id, book_id, title, series_id, series_index, confidence, and evidence.
- title must be a canonical title slug using lower-case words separated by hyphens.
- Use series_id null and series_index 0 for standalone books.
- If you use a series_id, series_index must be an integer greater than or equal to 1.
- Detect omnibus or box-set editions that contain multiple numbered novels, books, or novellas.
- For an omnibus, make a best-effort range from the filename, tags, and catalog rows. Keep series_index as the
first covered book number and include the range in the title when the source title includes it, for example
books-1-3.
- Be careful with omnibuses of novels or novellas later published as one book: keep the omnibus as the audiobook's
book record unless catalog rows clearly identify a better match.
- Do not create publisher collections or author collections as series unless the book metadata clearly gives a
numbered series.
- Series belong to authors. Use a series_id only when it belongs to the selected author_id.
- Always search for the author before creating one. If no exact author slug exists, call ensure_author.
- Always search for a series with author_id before creating one. If no exact series slug exists, call ensure_series.
- Always search for a book before creating one. If no exact title slug exists, call ensure_book.
- If a tool returns an error, correct your tool arguments or final metadata before continuing.
- confidence must be a number from 0 to 1.
- evidence must be a short list of strings explaining which filename, tags, and catalog rows support the answer."""
def forced_final_prompt() -> str:
"""Return the no-tools finalization prompt."""
return (
"Stop calling tools. Return final metadata as JSON only using the tool results already provided. "
"If search_books returned no matching rows but author and series are known, use book_id null and resolve "
"the title slug from the AAX filename and ffprobe tags. The validator will create the missing book. "
"Use only author_id and series_id values returned by earlier tool results."
)
def user_prompt(aax_file_name: str, metadata: dict[str, str]) -> str:
"""Build the user prompt from source metadata."""
return (
"Resolve this Audible audiobook.\n\n"
f"AAX file name: {aax_file_name}\n\n"
"ffprobe format tags:\n"
f"{json.dumps(metadata, indent=2, sort_keys=True)}"
)
def parse_final_json_content(content: str) -> object:
"""Parse final model content, accepting bare or fenced JSON."""
stripped = content.strip()
if match := FENCED_JSON_PATTERN.fullmatch(stripped):
stripped = match.group("json").strip()
return json.loads(stripped)
def parse_final_metadata_fields(raw_metadata: object) -> FinalMetadataFields:
"""Parse the model's final JSON object into typed fields."""
if not isinstance(raw_metadata, dict):
msg = "Final metadata must be a JSON object"
raise MetadataResolutionError(msg)
data = {str(key): value for key, value in raw_metadata.items()}
return FinalMetadataFields(
author_id=required_int(data, "author_id"),
book_id=optional_int(data.get("book_id"), "book_id"),
title=required_string(data, "title"),
series_id=optional_int(data.get("series_id"), "series_id"),
series_index=required_int(data, "series_index"),
confidence=required_float(data, "confidence"),
evidence=required_string_list(data, "evidence"),
)
def review_metadata(reason: str, config: AgentConfig) -> StandardBookMetadata:
"""Return a metadata result that must be reviewed manually."""
return StandardBookMetadata(
author_id=0,
author="unknown_author",
book_id=None,
title="unknown-title",
series_id=None,
series=config.standalone_series,
series_index=0,
confidence=0,
needs_review=True,
evidence=[reason],
)
def required_float(data: dict[str, object], key: str) -> float:
"""Read a required float field."""
value = data.get(key)
if isinstance(value, bool) or not isinstance(value, int | float):
msg = f"{key} must be a number"
raise MetadataResolutionError(msg)
confidence = float(value)
if confidence < 0 or confidence > 1:
msg = f"{key} must be between 0 and 1"
raise MetadataResolutionError(msg)
return confidence
def required_string_list(data: dict[str, object], key: str) -> list[str]:
"""Read a required list of strings."""
value = data.get(key)
if not isinstance(value, list) or not value or not all(isinstance(item, str) for item in value):
msg = f"{key} must be a non-empty list of strings"
raise MetadataResolutionError(msg)
strings = [item.strip() for item in value if item.strip()]
if not strings:
msg = f"{key} must include at least one non-empty string"
raise MetadataResolutionError(msg)
return strings
+9 -2
View File
@@ -43,11 +43,18 @@
}; };
}; };
networks = { networks = {
"10-1GB_Primary" = { "10-Primary" = {
matchConfig.Name = "enp97s0f1"; matchConfig.Name = "enp97s0";
address = [ "192.168.99.14/24" ]; address = [ "192.168.99.14/24" ];
dns = [
"192.168.99.1"
"2600:4040:abfb:d700::1"
];
routes = [ { Gateway = "192.168.99.1"; } ]; routes = [ { Gateway = "192.168.99.1"; } ];
vlan = [ "internet-vlan" ]; vlan = [ "internet-vlan" ];
dhcpV4Config.UseDNS = false;
dhcpV6Config.UseDNS = false;
ipv6AcceptRAConfig.UseDNS = false;
linkConfig.RequiredForOnline = "routable"; linkConfig.RequiredForOnline = "routable";
}; };
"50-internet-vlan" = { "50-internet-vlan" = {
+1
View File
@@ -3,5 +3,6 @@
environment.systemPackages = with pkgs; [ environment.systemPackages = with pkgs; [
filebot filebot
docker-compose docker-compose
ffmpeg
]; ];
} }
+4 -1
View File
@@ -3,7 +3,10 @@ let
vars = import ../vars.nix; vars = import ../vars.nix;
in in
{ {
services.audiobookshelf.enable = true; services.audiobookshelf = {
enable = true;
port = 8000;
};
systemd.services.audiobookshelf.serviceConfig.WorkingDirectory = systemd.services.audiobookshelf.serviceConfig.WorkingDirectory =
lib.mkForce "${vars.docker_configs}/audiobookshelf"; lib.mkForce "${vars.docker_configs}/audiobookshelf";
users.users.audiobookshelf.home = lib.mkForce "${vars.docker_configs}/audiobookshelf"; users.users.audiobookshelf.home = lib.mkForce "${vars.docker_configs}/audiobookshelf";
+107
View File
@@ -0,0 +1,107 @@
{ pkgs, ... }:
let
vars = import ../vars.nix;
stateDir = "${vars.services}/nornsight";
appDir = "${stateDir}/app";
binPath = pkgs.lib.makeBinPath [
pkgs.binutils
pkgs.libpq
pkgs.postgresql
pkgs.stdenv.cc
];
libraryPath = pkgs.lib.makeLibraryPath [
pkgs.libpq
pkgs.postgresql.lib
];
in
{
systemd.tmpfiles.rules = [
"d ${stateDir} 0750 nornsight nornsight - -"
];
users.users.nornsight = {
isSystemUser = true;
group = "nornsight";
home = stateDir;
};
systemd.services.nornsight = {
description = "Norn Sight";
after = [ "network-online.target" ];
wants = [ "network-online.target" ];
wantedBy = [ "multi-user.target" ];
environment = {
HOME = stateDir;
UV_CACHE_DIR = "${stateDir}/.cache/uv";
UV_PROJECT_ENVIRONMENT = "${appDir}/.venv";
UV_PYTHON = "${pkgs.python313}/bin/python3.13";
UV_PYTHON_DOWNLOADS = "never";
LD_LIBRARY_PATH = libraryPath;
LIBRARY_PATH = libraryPath;
PSYCOPG_IMPL = "python";
};
path = with pkgs; [
bash
coreutils
git
uv
];
serviceConfig = {
Type = "simple";
User = "nornsight";
Group = "nornsight";
EnvironmentFile = "-${vars.secrets}/services/nornsight";
WorkingDirectory = stateDir;
Restart = "on-failure";
RestartSec = "5s";
StandardOutput = "journal";
StandardError = "journal";
NoNewPrivileges = true;
PrivateTmp = true;
ProtectHome = true;
ProtectSystem = "strict";
ReadWritePaths = [ stateDir ];
};
script = ''
set -eu
export PATH="${binPath}:$PATH"
export LD_LIBRARY_PATH="${libraryPath}:''${LD_LIBRARY_PATH:-}"
export LIBRARY_PATH="${libraryPath}:''${LIBRARY_PATH:-}"
: "''${NORN_SIGHT_REPO_URL:?NORN_SIGHT_REPO_URL is required}"
branch="''${NORN_SIGHT_BRANCH:-main}"
if [ -d "${appDir}/.git" ]; then
current_origin="$(git -C "${appDir}" remote get-url origin)"
if [ "$current_origin" != "$NORN_SIGHT_REPO_URL" ]; then
rm -rf "${appDir}"
fi
fi
if [ ! -d "${appDir}/.git" ]; then
git clone --branch "$branch" "$NORN_SIGHT_REPO_URL" "${appDir}"
else
cd "${appDir}"
git fetch origin "$branch"
git checkout "$branch"
git pull --ff-only origin "$branch"
fi
cd "${appDir}"
uv sync --upgrade
uv run python - <<'PY'
import ctypes.util
import os
print(f"LD_LIBRARY_PATH={os.environ.get('LD_LIBRARY_PATH')}")
print(f"LIBRARY_PATH={os.environ.get('LIBRARY_PATH')}")
print(f"libpq={ctypes.util.find_library('pq')}")
PY
exec uv run uvicorn pipelines.web.main:app --host 0.0.0.0 --port 8001
'';
};
}
+8
View File
@@ -10,6 +10,14 @@ in
settings = { settings = {
devices.davids-server.id = "7GXTDGR-AOXFW2O-K6J7NM3-XYZNRRW-AKHAFWM-GBOWUPQ-OA6JIWD-ER7RDQL"; # cspell:disable-line devices.davids-server.id = "7GXTDGR-AOXFW2O-K6J7NM3-XYZNRRW-AKHAFWM-GBOWUPQ-OA6JIWD-ER7RDQL"; # cspell:disable-line
folders = { folders = {
photos = {
path = "${vars.syncthing}/important";
devices = [
"rhapsody-in-green"
"phone"
];
fsWatcherEnabled = true;
};
"dotfiles" = { "dotfiles" = {
path = "/home/richie/dotfiles"; path = "/home/richie/dotfiles";
devices = [ devices = [
+1 -1
View File
@@ -81,4 +81,4 @@ backend gitea
backend norn_sight backend norn_sight
mode http mode http
server server 192.168.90.49:8000 server server 127.0.0.1:8001
+2 -1
View File
@@ -12,8 +12,8 @@
"${inputs.self}/common/optional/zerotier.nix" "${inputs.self}/common/optional/zerotier.nix"
./hardware.nix ./hardware.nix
./open_webui.nix ./open_webui.nix
./programs.nix
./qmk.nix ./qmk.nix
./sunshine.nix
./syncthing.nix ./syncthing.nix
inputs.nixos-hardware.nixosModules.framework-13-7040-amd inputs.nixos-hardware.nixosModules.framework-13-7040-amd
]; ];
@@ -26,6 +26,7 @@
allowedTCPPorts = [ allowedTCPPorts = [
8000 8000
8080 8080
8081
]; ];
}; };
networkmanager.enable = true; networkmanager.enable = true;
Binary file not shown.
+6
View File
@@ -0,0 +1,6 @@
{ pkgs, ... }:
{
environment.systemPackages = with pkgs; [
ffmpeg
];
}
-28
View File
@@ -1,28 +0,0 @@
{ pkgs, ... }:
{
services.sunshine = {
enable = true;
openFirewall = true;
capSysAdmin = true;
};
environment.systemPackages = [ pkgs.kdePackages.libkscreen ];
boot = {
kernelParams = [
"drm.edid_firmware=DP-4:edid/virtual-display.bin"
"video=DP-4:e"
];
};
hardware.firmware = [
(pkgs.runCommandLocal "virtual-display-edid"
{
compressFirmware = false;
}
''
mkdir -p $out/lib/firmware/edid
cp ${./edid/virtual-display.bin} $out/lib/firmware/edid/virtual-display.bin
''
)
];
}
+8
View File
@@ -39,6 +39,14 @@
]; ];
fsWatcherEnabled = true; fsWatcherEnabled = true;
}; };
photos = {
path = "/home/richie/photos";
devices = [
"jeeves"
"phone"
];
fsWatcherEnabled = true;
};
"projects" = { "projects" = {
id = "vyma6-lqqrz"; # cspell:disable-line id = "vyma6-lqqrz"; # cspell:disable-line
path = "/home/richie/projects"; path = "/home/richie/projects";
+986
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@@ -0,0 +1,986 @@
"""test_audible_convert."""
from __future__ import annotations
import json
import subprocess
import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import Session, sessionmaker
from python.orm.richie import Audiobook, AudiobookAuthor, AudiobookSeries, RichieBase
from python.tools.audiobook import audible_convert, metadata_agent
from python.tools.audiobook.metadata_agent import StandardBookMetadata, standard_book_metadata
class FakeOllamaResponse:
def __init__(self, payload):
self._payload = payload
def raise_for_status(self):
return None
def json(self):
return self._payload
class FakeFfprobeError(RuntimeError):
def __str__(self):
return "bad ffprobe"
@pytest.fixture
def audiobook_engine():
engine = create_engine("sqlite+pysqlite:///:memory:", future=True)
RichieBase.metadata.create_all(engine)
with sessionmaker(bind=engine, expire_on_commit=False, future=True)() as session:
session.add_all(
[
AudiobookAuthor(id=1, name="glynn_stewart"),
AudiobookAuthor(id=2, name="craig_alanson"),
AudiobookAuthor(id=4, name="dennis_e_taylor"),
AudiobookSeries(id=1, name="starships_mage", author_id=1),
AudiobookSeries(id=2, name="black_fleet_trilogy", author_id=1),
AudiobookSeries(id=3, name="expeditionary_force", author_id=2),
AudiobookSeries(id=4, name="bobiverse", author_id=4),
],
)
session.commit()
yield engine
engine.dispose()
def install_fake_ollama(monkeypatch, payloads):
calls = []
def fake_post(*args, **kwargs):
calls.append((args, kwargs))
return FakeOllamaResponse(payloads.pop(0))
monkeypatch.setattr(metadata_agent.httpx, "post", fake_post)
return calls
def conversion_config(output_directory, *, dry_run=False, overwrite=False):
return audible_convert.ConversionConfig(
resolved_output=output_directory,
ollama_api_key="test-key",
agent_config=metadata_agent.AgentConfig(),
engine=create_engine("sqlite+pysqlite:///:memory:"),
activation_bytes=None,
dry_run=dry_run,
overwrite=overwrite,
)
def sqlite_engine():
return create_engine("sqlite+pysqlite:///:memory:")
def tool_response(name, arguments):
return {
"message": {
"role": "assistant",
"content": "",
"tool_calls": [{"function": {"name": name, "arguments": arguments}}],
},
}
def final_response(metadata):
return {"message": {"role": "assistant", "content": json.dumps(metadata)}}
def fenced_final_response(metadata):
return {"message": {"role": "assistant", "content": f"```json\n{json.dumps(metadata)}\n```"}}
def test_output_stem_uses_catalog_slugs() -> None:
metadata = StandardBookMetadata(
author_id=1,
author="glynn_stewart",
book_id=None,
title="title-slug",
series_id=1,
series="starships_mage",
series_index=1,
confidence=0.96,
needs_review=False,
evidence=["test"],
)
assert audible_convert.output_stem(metadata) == "glynn_stewart-starships_mage_01-title-slug"
def test_convert_aax_file_runs_ffmpeg(tmp_path, monkeypatch) -> None:
"""test_convert_aax_file_runs_ffmpeg."""
commands = []
def fake_run_command(arguments, *, capture=False):
assert capture is False
commands.append(arguments)
return subprocess.CompletedProcess(arguments, 0, "", "")
source = tmp_path / "book.aax"
destination = tmp_path / "book" / "book.m4b"
monkeypatch.setattr(audible_convert, "run_command", fake_run_command)
audible_convert.convert_aax_file(source, destination, "abc123", overwrite=False)
assert commands == [
[
"ffmpeg",
"-hide_banner",
"-n",
"-activation_bytes",
"abc123",
"-i",
str(source),
"-map_metadata",
"0",
"-c",
"copy",
str(destination),
],
]
assert destination.parent.is_dir()
def test_run_command_redacts_activation_bytes_in_logs_and_errors(monkeypatch, caplog) -> None:
def fake_run(arguments, *, check, capture_output, text):
assert check is True
assert capture_output is False
assert text is True
raise subprocess.CalledProcessError(1, arguments)
monkeypatch.setattr(audible_convert.subprocess, "run", fake_run)
caplog.set_level("DEBUG", audible_convert.__name__)
with pytest.raises(audible_convert.CommandExecutionError) as error:
audible_convert.run_command(["ffmpeg", "-activation_bytes", "secret-token", "-i", "book.aax"])
assert "secret-token" not in caplog.text
assert "secret-token" not in str(error.value)
assert "<redacted>" in caplog.text
assert "<redacted>" in str(error.value)
def test_write_agent_log_serializes_metadata_as_json_object(tmp_path) -> None:
metadata = StandardBookMetadata(
author_id=1,
author="glynn_stewart",
book_id=None,
title="starship-mage",
series_id=1,
series="starships_mage",
series_index=1,
confidence=0.95,
needs_review=False,
evidence=["test"],
)
log_file = tmp_path / "agent.jsonl"
metadata_agent.write_agent_log(log_file, "final_metadata", metadata=metadata, path=tmp_path)
record = json.loads(log_file.read_text(encoding="utf-8"))
assert record["event"] == "final_metadata"
assert record["metadata"]["author"] == "glynn_stewart"
assert record["metadata"]["title"] == "starship-mage"
assert record["path"] == str(tmp_path)
def test_system_prompt_instructs_agent_to_detect_omnibuses() -> None:
prompt = metadata_agent.system_prompt()
assert "Detect omnibus or box-set editions" in prompt
assert "books-1-3" in prompt
assert "Keep series_index as the" in prompt
def test_standard_book_metadata_accepts_valid_tool_output(tmp_path, monkeypatch, audiobook_engine) -> None:
install_fake_ollama(
monkeypatch,
[
tool_response("search_authors", {"query": "Glynn Stewart"}),
tool_response("search_series", {"query": "starships_mage"}),
final_response(
{
"author_id": 1,
"book_id": None,
"title": "starship-mage",
"series_id": 1,
"series_index": 1,
"confidence": 0.95,
"evidence": ["filename and catalog match"],
},
),
],
)
metadata = standard_book_metadata(
"Starship Mage.aax",
{"title": "Starship Mage", "artist": "Glynn Stewart"},
audiobook_engine,
tmp_path / "agent.jsonl",
"test-key",
config=metadata_agent.AgentConfig(),
)
assert metadata == StandardBookMetadata(
author_id=1,
author="glynn_stewart",
book_id=1,
title="starship-mage",
series_id=1,
series="starships_mage",
series_index=1,
confidence=0.95,
needs_review=False,
evidence=["filename and catalog match"],
)
records = [
json.loads(line)
for line in (tmp_path / "agent.jsonl").read_text(encoding="utf-8").splitlines()
]
sent = [record for record in records if record["event"] == "llm_messages_sent"]
received = [record for record in records if record["event"] == "llm_message_received"]
assert sent[0]["messages"][0]["role"] == "system"
assert "Starship Mage" in sent[0]["messages"][1]["content"]
assert received[0]["message"]["tool_calls"][0]["function"]["name"] == "search_authors"
with Session(audiobook_engine) as session:
book = session.get(Audiobook, 1)
assert book.title == "starship-mage"
assert book.author.name == "glynn_stewart"
def test_standard_book_metadata_uses_agent_config(tmp_path, monkeypatch, audiobook_engine) -> None:
config = metadata_agent.AgentConfig(
model="custom-model",
ollama_chat_url="https://ollama.example.test/api/chat",
http_timeout_seconds=12,
max_agent_turns=1,
min_confidence=0.5,
tool_names=("search_authors",),
)
calls = install_fake_ollama(
monkeypatch,
[
tool_response("search_authors", {"query": "Glynn Stewart"}),
final_response(
{
"author_id": 1,
"book_id": None,
"title": "standalone-book",
"series_id": None,
"series_index": 0,
"confidence": 0.5,
"evidence": ["custom config"],
},
),
],
)
metadata = standard_book_metadata(
"Standalone Book.aax",
{"title": "Standalone Book", "artist": "Glynn Stewart"},
audiobook_engine,
tmp_path / "agent.jsonl",
"test-key",
config=config,
)
first_request_url = calls[0][0][0]
first_request_options = calls[0][1]
tool_names = [
tool_schema["function"]["name"]
for tool_schema in first_request_options["json"]["tools"]
]
assert first_request_url == "https://ollama.example.test/api/chat"
assert first_request_options["timeout"] == 12
assert first_request_options["json"]["model"] == "custom-model"
assert tool_names == ["search_authors"]
assert metadata.needs_review is False
assert metadata.series == "standalone"
def test_standard_book_metadata_retries_invalid_json_then_needs_review(
tmp_path,
monkeypatch,
audiobook_engine,
) -> None:
install_fake_ollama(
monkeypatch,
[
tool_response("search_authors", {"query": "Glynn Stewart"}),
tool_response("search_series", {"query": "Starship Mage"}),
{"message": {"role": "assistant", "content": "{"}},
{"message": {"role": "assistant", "content": "{"}},
],
)
metadata = standard_book_metadata(
"Starship Mage.aax",
{"title": "Starship Mage"},
audiobook_engine,
tmp_path / "agent.jsonl",
"test-key",
config=metadata_agent.AgentConfig(),
)
assert metadata.needs_review is True
assert metadata.confidence == 0
def test_standard_book_metadata_accepts_fenced_final_json(
tmp_path,
monkeypatch,
audiobook_engine,
) -> None:
install_fake_ollama(
monkeypatch,
[
tool_response("search_authors", {"query": "Dennis E. Taylor"}),
tool_response("search_series", {"query": "Bobiverse", "author_id": 4}),
tool_response("search_books", {"query": "All These Worlds", "author_id": 4, "series_id": 4}),
fenced_final_response(
{
"author_id": 4,
"book_id": None,
"title": "all-these-worlds",
"series_id": 4,
"series_index": 3,
"confidence": 0.95,
"evidence": ["fenced json from model"],
},
),
],
)
metadata = standard_book_metadata(
"All These Worlds.aax",
{"title": "All These Worlds: Bobiverse, Book 3", "artist": "Dennis E. Taylor"},
audiobook_engine,
tmp_path / "agent.jsonl",
"test-key",
config=metadata_agent.AgentConfig(),
)
assert metadata.needs_review is False
assert metadata.author == "dennis_e_taylor"
assert metadata.series == "bobiverse"
assert metadata.title == "all-these-worlds"
def test_standard_book_metadata_recovers_from_tool_validation_error(
tmp_path,
monkeypatch,
audiobook_engine,
) -> None:
install_fake_ollama(
monkeypatch,
[
tool_response("search_authors", {"query": "Cormac McCarthy"}),
tool_response("ensure_author", {"name": "Cormac McCarthy"}),
tool_response("ensure_series", {"name": "The Cormac McCarthy Collection", "author_id": 5}),
tool_response(
"ensure_book",
{
"title": "The Road",
"author_id": 5,
"series_id": 5,
"series_index": 0,
},
),
final_response(
{
"author_id": 5,
"book_id": None,
"title": "The Road",
"series_id": None,
"series_index": 0,
"confidence": 0.9,
"evidence": ["tool error showed this should be standalone"],
},
),
],
)
log_file = tmp_path / "agent.jsonl"
metadata = standard_book_metadata(
"The Road.aax",
{"title": "The Road", "artist": "Cormac McCarthy"},
audiobook_engine,
log_file,
"test-key",
config=metadata_agent.AgentConfig(),
)
assert metadata == StandardBookMetadata(
author_id=5,
author="cormac_mccarthy",
book_id=1,
title="the-road",
series_id=None,
series="standalone",
series_index=0,
confidence=0.9,
needs_review=False,
evidence=["tool error showed this should be standalone"],
)
assert "series books must use a positive series_index" in log_file.read_text(encoding="utf-8")
with Session(audiobook_engine) as session:
assert session.get(AudiobookSeries, 5) is None
book = session.get(Audiobook, 1)
assert book.title == "the-road"
assert book.series_id is None
def test_standard_book_metadata_rejects_unknown_tool(tmp_path, monkeypatch, audiobook_engine) -> None:
log_file = tmp_path / "agent.jsonl"
install_fake_ollama(monkeypatch, [tool_response("drop_table", {})])
metadata = standard_book_metadata(
"Book.aax",
{"title": "Book"},
audiobook_engine,
log_file,
"test-key",
config=metadata_agent.AgentConfig(),
)
assert metadata.needs_review is True
assert "Unknown audiobook metadata tool" in metadata.evidence[0]
assert "tool_error" in log_file.read_text(encoding="utf-8")
def test_standard_book_metadata_rejects_ids_not_returned_by_tools(
tmp_path,
monkeypatch,
audiobook_engine,
) -> None:
install_fake_ollama(
monkeypatch,
[
tool_response("search_authors", {"query": "Glynn Stewart"}),
tool_response("search_series", {"query": "Starship Mage"}),
final_response(
{
"author_id": 2,
"book_id": None,
"title": "expeditionary-force",
"series_id": 1,
"series_index": 1,
"confidence": 0.99,
"evidence": ["bad id"],
},
),
final_response(
{
"author_id": 2,
"book_id": None,
"title": "expeditionary-force",
"series_id": 1,
"series_index": 1,
"confidence": 0.99,
"evidence": ["bad id"],
},
),
],
)
metadata = standard_book_metadata(
"Book.aax",
{"title": "Book"},
audiobook_engine,
tmp_path / "agent.jsonl",
"test-key",
config=metadata_agent.AgentConfig(),
)
assert metadata.needs_review is True
assert "author_id 2 was not returned" in metadata.evidence[0]
def test_standard_book_metadata_rejects_series_for_wrong_author(
tmp_path,
monkeypatch,
audiobook_engine,
) -> None:
install_fake_ollama(
monkeypatch,
[
tool_response("search_authors", {"query": "Glynn Stewart"}),
tool_response("search_series", {"query": "expeditionary_force"}),
final_response(
{
"author_id": 1,
"book_id": None,
"title": "expeditionary-force",
"series_id": 3,
"series_index": 1,
"confidence": 0.99,
"evidence": ["wrong author"],
},
),
final_response(
{
"author_id": 1,
"book_id": None,
"title": "expeditionary-force",
"series_id": 3,
"series_index": 1,
"confidence": 0.99,
"evidence": ["wrong author"],
},
),
],
)
metadata = standard_book_metadata(
"Book.aax",
{"title": "Book"},
audiobook_engine,
tmp_path / "agent.jsonl",
"test-key",
config=metadata_agent.AgentConfig(),
)
assert metadata.needs_review is True
assert "series_id 3 does not belong to author_id 1" in metadata.evidence[0]
def test_standard_book_metadata_forces_final_after_empty_book_searches(
tmp_path,
monkeypatch,
audiobook_engine,
) -> None:
config = metadata_agent.AgentConfig(max_agent_turns=5)
install_fake_ollama(
monkeypatch,
[
tool_response("search_authors", {"query": "Dennis E. Taylor"}),
tool_response("search_series", {"query": "Bobiverse", "author_id": 4}),
tool_response("search_books", {"query": "We Are Legion We Are Bob", "author_id": 4, "series_id": 4}),
tool_response("search_books", {"query": "we are legion", "author_id": 4}),
tool_response("search_books", {"query": "We Are Legion"}),
final_response(
{
"author_id": 4,
"book_id": None,
"title": "we-are-legion-we-are-bob",
"series_id": 4,
"series_index": 1,
"confidence": 0.95,
"evidence": ["author and series tool results; title from ffprobe tags"],
},
),
],
)
metadata = standard_book_metadata(
"We_Are_Legion_(We_Are_Bob)_Bobiverse_Book_1-LC_128_44100_stereo.aax",
{
"album": "We Are Legion (We Are Bob): Bobiverse, Book 1",
"artist": "Dennis E. Taylor",
"title": "We Are Legion (We Are Bob): Bobiverse, Book 1",
},
audiobook_engine,
tmp_path / "agent.jsonl",
"test-key",
config=config,
)
assert metadata == StandardBookMetadata(
author_id=4,
author="dennis_e_taylor",
book_id=1,
title="we-are-legion-we-are-bob",
series_id=4,
series="bobiverse",
series_index=1,
confidence=0.95,
needs_review=False,
evidence=["author and series tool results; title from ffprobe tags"],
)
assert '"tools_enabled": false' in (tmp_path / "agent.jsonl").read_text(encoding="utf-8")
def test_standard_book_metadata_can_create_missing_catalog_rows(
tmp_path,
monkeypatch,
audiobook_engine,
) -> None:
install_fake_ollama(
monkeypatch,
[
tool_response("search_authors", {"query": "Martha Wells"}),
tool_response("ensure_author", {"name": "martha_wells"}),
tool_response("search_series", {"query": "Murderbot Diaries", "author_id": 5}),
tool_response("ensure_series", {"name": "murderbot_diaries", "author_id": 5}),
tool_response("search_books", {"query": "All Systems Red", "author_id": 5, "series_id": 5}),
final_response(
{
"author_id": 5,
"book_id": None,
"title": "all-systems-red",
"series_id": 5,
"series_index": 1,
"confidence": 0.96,
"evidence": ["created missing author and series; title from tags"],
},
),
],
)
metadata = standard_book_metadata(
"All Systems Red.aax",
{"title": "All Systems Red", "artist": "Martha Wells"},
audiobook_engine,
tmp_path / "agent.jsonl",
"test-key",
config=metadata_agent.AgentConfig(),
)
assert metadata == StandardBookMetadata(
author_id=5,
author="martha_wells",
book_id=1,
title="all-systems-red",
series_id=5,
series="murderbot_diaries",
series_index=1,
confidence=0.96,
needs_review=False,
evidence=["created missing author and series; title from tags"],
)
with Session(audiobook_engine) as session:
author = session.get(AudiobookAuthor, 5)
series = session.get(AudiobookSeries, 5)
book = session.get(Audiobook, 1)
assert author.name == "martha_wells"
assert series.name == "murderbot_diaries"
assert series.author_id == author.id
assert book.title == "all-systems-red"
assert book.author_id == author.id
assert book.series_id == series.id
def test_standard_book_metadata_normalizes_noisy_created_catalog_rows(
tmp_path,
monkeypatch,
audiobook_engine,
) -> None:
install_fake_ollama(
monkeypatch,
[
tool_response("search_authors", {"query": "Charles Lamb"}),
tool_response("ensure_author", {"name": "charles-lamb"}),
tool_response("search_series", {"query": "AL:ICE Series", "author_id": 5}),
tool_response("ensure_series", {"name": "AL:ICE Series", "author_id": 5}),
tool_response("search_books", {"query": "AL:ICE Space War", "author_id": 5, "series_id": 5}),
final_response(
{
"author_id": 5,
"book_id": None,
"title": "AL:ICE Space War",
"series_id": 5,
"series_index": 4,
"confidence": 0.95,
"evidence": ["created normalized author and series; title from tags"],
},
),
],
)
metadata = standard_book_metadata(
"ALICE_Space_War_ALICE_Series_Book_4-LC_64_22050_stereo.aax",
{
"album": "AL:ICE Space War: AL:ICE Series, Book 4",
"artist": "Charles Lamb",
"title": "AL:ICE Space War: AL:ICE Series, Book 4",
},
audiobook_engine,
tmp_path / "agent.jsonl",
"test-key",
config=metadata_agent.AgentConfig(),
)
assert metadata == StandardBookMetadata(
author_id=5,
author="charles_lamb",
book_id=1,
title="al-ice-space-war",
series_id=5,
series="al_ice_series",
series_index=4,
confidence=0.95,
needs_review=False,
evidence=["created normalized author and series; title from tags"],
)
with Session(audiobook_engine) as session:
author = session.get(AudiobookAuthor, 5)
series = session.get(AudiobookSeries, 5)
book = session.get(Audiobook, 1)
assert author.name == "charles_lamb"
assert series.name == "al_ice_series"
assert series.author_id == author.id
assert book.title == "al-ice-space-war"
assert book.author_id == author.id
assert book.series_id == series.id
def test_convert_aax_file_with_agent_success_renames_temp_output(tmp_path, monkeypatch) -> None:
source = tmp_path / "book.aax"
output_directory = tmp_path / "audiobooks"
source.touch()
monkeypatch.setattr(audible_convert, "read_metadata", lambda _: {"title": "Starship Mage"})
monkeypatch.setattr(
audible_convert,
"standard_book_metadata",
lambda *_, **__: StandardBookMetadata(
author_id=1,
author="glynn_stewart",
book_id=None,
title="starship-mage",
series_id=1,
series="starships_mage",
series_index=1,
confidence=0.95,
needs_review=False,
evidence=["test"],
),
)
def fake_convert(_source, destination, _activation_bytes, *, overwrite):
assert overwrite is True
destination.parent.mkdir(parents=True, exist_ok=True)
destination.write_text("converted", encoding="utf-8")
monkeypatch.setattr(audible_convert, "convert_aax_file", fake_convert)
audible_convert.convert_aax_file_with_agent(
source,
conversion_config(output_directory),
)
expected = output_directory / "glynn_stewart-starships_mage_01-starship-mage"
destination = expected / "glynn_stewart-starships_mage_01-starship-mage.m4b"
assert destination.read_text(encoding="utf-8") == "converted"
assert not list((output_directory / ".audible_convert" / "tmp").glob("*/converted.m4b"))
def test_ffprobe_failure_writes_review_without_converting(tmp_path, monkeypatch) -> None:
source = tmp_path / "book.aax"
output_directory = tmp_path / "audiobooks"
source.touch()
calls = []
def fake_read_metadata(_source):
raise FakeFfprobeError
def fake_convert(*args, **kwargs):
calls.append((args, kwargs))
monkeypatch.setattr(audible_convert, "read_metadata", fake_read_metadata)
monkeypatch.setattr(audible_convert, "convert_aax_file", fake_convert)
audible_convert.convert_aax_file_with_agent(source, conversion_config(output_directory))
review_files = list((output_directory / ".audible_convert" / "review").glob("*.json"))
assert calls == []
assert len(review_files) == 1
review = json.loads(review_files[0].read_text(encoding="utf-8"))
assert review["ffprobe_metadata"] == {}
assert review["reason"] == "ffprobe_failed: bad ffprobe"
assert review["temp_file"] is None
def test_low_confidence_metadata_keeps_temp_output_for_review(tmp_path, monkeypatch) -> None:
source = tmp_path / "book.aax"
output_directory = tmp_path / "audiobooks"
source.touch()
monkeypatch.setattr(audible_convert, "read_metadata", lambda _: {"title": "Unknown"})
monkeypatch.setattr(
audible_convert,
"standard_book_metadata",
lambda *_, **__: StandardBookMetadata(
author_id=0,
author="unknown_author",
book_id=None,
title="unknown-title",
series_id=None,
series="standalone",
series_index=0,
confidence=0.25,
needs_review=True,
evidence=["unclear"],
),
)
def fake_convert(_source, destination, _activation_bytes, *, overwrite):
assert overwrite is True
destination.parent.mkdir(parents=True, exist_ok=True)
destination.write_text("converted", encoding="utf-8")
monkeypatch.setattr(audible_convert, "convert_aax_file", fake_convert)
audible_convert.convert_aax_file_with_agent(
source,
conversion_config(output_directory),
)
temp_files = list((output_directory / ".audible_convert" / "tmp").glob("*/converted.m4b"))
review_files = list((output_directory / ".audible_convert" / "review").glob("*.json"))
assert len(temp_files) == 1
assert temp_files[0].read_text(encoding="utf-8") == "converted"
assert len(review_files) == 1
def test_existing_destination_skips_rename_and_removes_temp(tmp_path, monkeypatch) -> None:
source = tmp_path / "book.aax"
output_directory = tmp_path / "audiobooks"
source.touch()
final_file = (
output_directory
/ "glynn_stewart-starships_mage_01-starship-mage"
/ "glynn_stewart-starships_mage_01-starship-mage.m4b"
)
final_file.parent.mkdir(parents=True)
final_file.write_text("existing", encoding="utf-8")
monkeypatch.setattr(audible_convert, "read_metadata", lambda _: {"title": "Starship Mage"})
monkeypatch.setattr(
audible_convert,
"standard_book_metadata",
lambda *_, **__: StandardBookMetadata(
author_id=1,
author="glynn_stewart",
book_id=None,
title="starship-mage",
series_id=1,
series="starships_mage",
series_index=1,
confidence=0.95,
needs_review=False,
evidence=["test"],
),
)
def fake_convert(_source, destination, _activation_bytes, *, overwrite):
assert overwrite is True
destination.parent.mkdir(parents=True, exist_ok=True)
destination.write_text("converted", encoding="utf-8")
monkeypatch.setattr(audible_convert, "convert_aax_file", fake_convert)
audible_convert.convert_aax_file_with_agent(
source,
conversion_config(output_directory),
)
assert final_file.read_text(encoding="utf-8") == "existing"
assert not list((output_directory / ".audible_convert" / "tmp").glob("*/converted.m4b"))
def test_richie_exports_audiobook_models() -> None:
from python.orm.richie import Audiobook # noqa: PLC0415
assert Audiobook.__tablename__ == "audiobook"
def test_main_dry_run_prints_outputs_without_converting(tmp_path, monkeypatch, capsys) -> None:
input_directory = tmp_path / "raw"
output_directory = tmp_path / "audiobooks"
input_directory.mkdir()
source = input_directory / "book.aax"
source.touch()
monkeypatch.setenv("OLLAMA_API_KEY", "test-key")
monkeypatch.setattr(
audible_convert,
"read_metadata",
lambda _: {
"artist": "Charles Lamb",
"title": "Alice: Alice Series #1",
},
)
calls = []
def fake_convert(*args, **kwargs):
calls.append((args, kwargs))
monkeypatch.setattr(audible_convert, "convert_aax_file", fake_convert)
monkeypatch.setattr(
audible_convert,
"standard_book_metadata",
lambda *_, **__: StandardBookMetadata(
author_id=1,
author="charles_lamb",
book_id=None,
title="alice",
series_id=1,
series="alice",
series_index=1,
confidence=0.95,
needs_review=False,
evidence=["test"],
),
)
def fake_get_postgres_engine(*, name):
assert name == "RICHIE"
return create_engine("sqlite+pysqlite:///:memory:")
monkeypatch.setattr(audible_convert, "get_postgres_engine", fake_get_postgres_engine)
audible_convert.main(input_directory, output_directory, dry_run=True)
assert calls == []
assert capsys.readouterr().out == (
f"{source} -> {output_directory / 'charles_lamb-alice_01-alice' / 'charles_lamb-alice_01-alice.m4b'}\n"
)
dry_run_file = (
output_directory
/ ".audible_convert"
/ "dry-run"
/ "charles_lamb-alice_01-alice"
/ "charles_lamb-alice_01-alice.m4b"
)
assert dry_run_file.read_text(encoding="utf-8") == (
f"{output_directory / 'charles_lamb-alice_01-alice' / 'charles_lamb-alice_01-alice.m4b'}\n"
)
assert (output_directory / ".audible_convert" / "logs").is_dir()
def test_main_reads_activation_bytes_from_env(tmp_path, monkeypatch) -> None:
input_directory = tmp_path / "raw"
output_directory = tmp_path / "audiobooks"
input_directory.mkdir()
source = input_directory / "book.aax"
source.touch()
configs = []
def fake_convert(_source, config):
configs.append(config)
def fake_get_postgres_engine(*, name):
assert name == "RICHIE"
return sqlite_engine()
monkeypatch.setenv("OLLAMA_API_KEY", "test-key")
monkeypatch.setenv("AUDIBLE_ACTIVATION_BYTES", "activation-secret")
monkeypatch.setattr(audible_convert, "get_postgres_engine", fake_get_postgres_engine)
monkeypatch.setattr(audible_convert, "convert_aax_file_with_agent", fake_convert)
audible_convert.main(input_directory, output_directory)
assert configs == [
audible_convert.ConversionConfig(
resolved_output=output_directory,
ollama_api_key="test-key",
agent_config=configs[0].agent_config,
engine=configs[0].engine,
activation_bytes="activation-secret",
dry_run=False,
overwrite=False,
),
]
+126
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@@ -0,0 +1,126 @@
"""test_audiobook_catalog."""
from __future__ import annotations
import pytest
from sqlalchemy import create_engine, select
from sqlalchemy.orm import sessionmaker
from python.orm.richie import AudiobookAuthor, AudiobookSeries, RichieBase
from python.tools.audiobook import catalog
@pytest.fixture
def audiobook_session():
engine = create_engine("sqlite+pysqlite:///:memory:", future=True)
RichieBase.metadata.create_all(engine)
with sessionmaker(bind=engine, expire_on_commit=False, future=True)() as session:
yield session
engine.dispose()
def test_upsert_catalog_csv_inserts_and_updates_authors_and_series(tmp_path, audiobook_session) -> None:
audiobook_session.add_all(
[
AudiobookAuthor(id=10, name="old_author"),
AudiobookAuthor(id=11, name="craig_alanson"),
],
)
audiobook_session.commit()
authors_csv = tmp_path / "authors.csv"
series_csv = tmp_path / "series.csv"
authors_csv.write_text(
"name,id\n"
"glynn_stewart,\n"
"craig_alanson,\n"
"updated_author,10\n",
encoding="utf-8",
)
series_csv.write_text(
"name,author_name,id\n"
"starships_mage,glynn_stewart,\n"
"expeditionary_force,craig_alanson,\n",
encoding="utf-8",
)
author_count = catalog.upsert_authors_from_csv(audiobook_session, authors_csv)
series_count = catalog.upsert_series_from_csv(audiobook_session, series_csv)
audiobook_session.commit()
authors = audiobook_session.scalars(select(AudiobookAuthor).order_by(AudiobookAuthor.id)).all()
series = audiobook_session.scalars(select(AudiobookSeries).order_by(AudiobookSeries.name)).all()
assert author_count == 3
assert series_count == 2
assert [(author.id, author.name) for author in authors] == [
(10, "updated_author"),
(11, "craig_alanson"),
(12, "glynn_stewart"),
]
assert [(row.name, row.author.name) for row in series] == [
("expeditionary_force", "craig_alanson"),
("starships_mage", "glynn_stewart"),
]
def test_upsert_series_csv_updates_series_by_id(tmp_path, audiobook_session) -> None:
author = AudiobookAuthor(id=1, name="glynn_stewart")
audiobook_session.add_all(
[
author,
AudiobookSeries(id=7, name="old_series", author=author),
],
)
audiobook_session.commit()
series_csv = tmp_path / "series.csv"
series_csv.write_text(
"name,author_name,id\n"
"starships_mage,glynn_stewart,7\n",
encoding="utf-8",
)
count = catalog.upsert_series_from_csv(audiobook_session, series_csv)
audiobook_session.commit()
series = audiobook_session.get(AudiobookSeries, 7)
assert count == 1
assert series.name == "starships_mage"
assert series.author.name == "glynn_stewart"
def test_upsert_csv_allows_missing_id_column(tmp_path, audiobook_session) -> None:
authors_csv = tmp_path / "authors.csv"
series_csv = tmp_path / "series.csv"
authors_csv.write_text(
"name\n"
"glynn_stewart\n",
encoding="utf-8",
)
series_csv.write_text(
"name,author_name\n"
"starships_mage,glynn_stewart\n",
encoding="utf-8",
)
author_count = catalog.upsert_authors_from_csv(audiobook_session, authors_csv)
series_count = catalog.upsert_series_from_csv(audiobook_session, series_csv)
audiobook_session.commit()
series = audiobook_session.scalar(select(AudiobookSeries))
assert author_count == 1
assert series_count == 1
assert series.name == "starships_mage"
assert series.author.name == "glynn_stewart"
def test_upsert_series_csv_rejects_unknown_author(tmp_path, audiobook_session) -> None:
series_csv = tmp_path / "series.csv"
series_csv.write_text(
"name,author_name,id\n"
"starships_mage,glynn_stewart,\n",
encoding="utf-8",
)
with pytest.raises(catalog.CatalogImportError) as error:
catalog.upsert_series_from_csv(audiobook_session, series_csv)
assert "author not found: glynn_stewart" in str(error.value)
+113
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@@ -0,0 +1,113 @@
"""Tests for Gitea flake.lock automation."""
from __future__ import annotations
from python.gitea import PullRequest
from python.gitea_flake_lock import (
PR_CHECK_WORKFLOWS,
PR_LABELS,
dispatch_pull_request_checks,
ensure_flake_lock_pull_request,
find_flake_lock_pull_request,
)
def _pull_request(number=1, head_branch="automation/update-flake-lock"):
return PullRequest(
number=number,
title="Update flake.lock",
html_url=f"https://gitea.example.test/pulls/{number}",
labels=(),
head_branch=head_branch,
base_branch="main",
)
class FakeGiteaClient:
def __init__(self, pull_requests=None):
self.pull_requests = pull_requests or []
self.dispatch_calls = []
self.list_calls = []
self.create_calls = []
def list_open_pull_requests(self, **kwargs):
self.list_calls.append(kwargs)
return self.pull_requests
def create_pull_request(self, **kwargs):
self.create_calls.append(kwargs)
return _pull_request()
def dispatch_workflow(self, **kwargs):
self.dispatch_calls.append(kwargs)
def test_ensure_flake_lock_pull_request_finds_by_branch():
pull_request = _pull_request()
client = FakeGiteaClient([pull_request])
result = ensure_flake_lock_pull_request(
client,
owner="Richie",
repo="dotfiles",
branch="automation/update-flake-lock",
base="main",
)
assert result == pull_request
assert client.list_calls == [
{"owner": "Richie", "repo": "dotfiles", "head": "automation/update-flake-lock"},
]
assert client.create_calls == []
def test_ensure_flake_lock_pull_request_creates_with_labels():
client = FakeGiteaClient()
ensure_flake_lock_pull_request(
client,
owner="Richie",
repo="dotfiles",
branch="automation/update-flake-lock",
base="main",
)
assert client.create_calls == [
{
"owner": "Richie",
"repo": "dotfiles",
"title": "Update flake.lock",
"body": "Automated flake.lock update.",
"head": "automation/update-flake-lock",
"base": "main",
"labels": PR_LABELS,
},
]
def test_find_flake_lock_pull_request_finds_by_label():
pull_request = _pull_request()
client = FakeGiteaClient([pull_request])
result = find_flake_lock_pull_request(client, owner="Richie", repo="dotfiles")
assert result == pull_request
assert client.list_calls == [
{"owner": "Richie", "repo": "dotfiles", "labels": ["flake_lock_update"]},
]
def test_dispatch_pull_request_checks_runs_each_workflow():
client = FakeGiteaClient()
dispatch_pull_request_checks(client, owner="Richie", repo="dotfiles", branch="automation/update-flake-lock")
assert client.dispatch_calls == [
{
"owner": "Richie",
"repo": "dotfiles",
"workflow_id": workflow,
"ref": "automation/update-flake-lock",
}
for workflow in PR_CHECK_WORKFLOWS
]
+2 -3
View File
@@ -6,6 +6,7 @@
"${inputs.self}/users/shared/sweet.nix" "${inputs.self}/users/shared/sweet.nix"
./firefox ./firefox
./kitty.nix ./kitty.nix
./llm_tools.nix
./vscode ./vscode
]; ];
@@ -19,13 +20,11 @@
qalculate-gtk qalculate-gtk
vlc vlc
# browser # browser
brave
chromium chromium
# dev tools # dev tools
claude-code
codex
gparted gparted
jetbrains.datagrip jetbrains.datagrip
opencode
proxychains proxychains
]; ];
} }
+2 -1
View File
@@ -1,8 +1,9 @@
{ inputs, ... }: { config, inputs, ... }:
{ {
imports = [ ./search_engines.nix ]; imports = [ ./search_engines.nix ];
programs.firefox = { programs.firefox = {
configPath = "${config.xdg.configHome}/mozilla/firefox";
enable = true; enable = true;
profiles.richie = { profiles.richie = {
extensions.packages = with inputs.firefox-addons.packages.x86_64-linux; [ extensions.packages = with inputs.firefox-addons.packages.x86_64-linux; [
+1
View File
@@ -12,6 +12,7 @@
tab_bar_edge = "top"; tab_bar_edge = "top";
tab_bar_style = "powerline"; tab_bar_style = "powerline";
enabled_layouts = "splits"; enabled_layouts = "splits";
enable_audio_bell = "no";
}; };
keybindings = { keybindings = {
"ctrl+alt+1" = "launch --type=tab --tab-title jeeves kitten ssh jeeves"; "ctrl+alt+1" = "launch --type=tab --tab-title jeeves kitten ssh jeeves";
+9
View File
@@ -0,0 +1,9 @@
{ pkgs, ... }:
{
home.packages = [
pkgs.master.claude-code
pkgs.master.codex
pkgs.master.opencode
pkgs.master.pi-coding-agent
];
}
+29 -29
View File
@@ -2,46 +2,46 @@
programs.ssh = { programs.ssh = {
enable = true; enable = true;
enableDefaultConfig = false; enableDefaultConfig = false;
matchBlocks = { settings = {
jeeves = { jeeves = {
hostname = "192.168.90.40"; HostName = "192.168.90.40";
user = "richie"; User = "richie";
identityFile = "~/.ssh/id_ed25519"; IdentityFile = "~/.ssh/id_ed25519";
port = 629; Port = 629;
dynamicForwards = [ { port = 9050; } ]; DynamicForward = [ { port = 9050; } ];
compression = true; Compression = true;
}; };
unlock-jeeves = { unlock-jeeves = {
hostname = "192.168.99.14"; HostName = "192.168.99.14";
user = "root"; User = "root";
identityFile = "~/.ssh/id_ed25519"; IdentityFile = "~/.ssh/id_ed25519";
port = 2222; Port = 2222;
}; };
brain = { brain = {
hostname = "192.168.90.35"; HostName = "192.168.90.35";
user = "richie"; User = "richie";
identityFile = "~/.ssh/id_ed25519"; IdentityFile = "~/.ssh/id_ed25519";
port = 129; Port = 129;
dynamicForwards = [ { port = 9050; } ]; DynamicForward = [ { port = 9050; } ];
}; };
unlock-brain = { unlock-brain = {
hostname = "192.168.95.35"; HostName = "192.168.95.35";
user = "root"; User = "root";
identityFile = "~/.ssh/id_ed25519"; IdentityFile = "~/.ssh/id_ed25519";
port = 2222; Port = 2222;
}; };
bob = { bob = {
hostname = "192.168.90.25"; HostName = "192.168.90.25";
user = "richie"; User = "richie";
identityFile = "~/.ssh/id_ed25519"; IdentityFile = "~/.ssh/id_ed25519";
port = 262; Port = 262;
dynamicForwards = [ { port = 9050; } ]; DynamicForward = [ { port = 9050; } ];
}; };
rhapsody-in-green = { rhapsody-in-green = {
hostname = "192.168.90.221"; HostName = "192.168.90.221";
user = "richie"; User = "richie";
identityFile = "~/.ssh/id_ed25519"; IdentityFile = "~/.ssh/id_ed25519";
port = 922; Port = 922;
}; };
}; };
}; };