Scaffold adscrub: feed ingest + chapter-based ad detection (M0/M1, v0.1.0)

Podcast ad-removal proxy: fetch feed -> find ad spans -> cut -> re-host
clean feed, so AntennaPod (or any player) needs zero changes. M0 ingest
and M1 chapter-marker detection are working; transcribe/detect/cut/serve
(Whisper transcription, LLM ad-span classification, ffmpeg cutting, feed
re-hosting) are stubbed with clear milestones in docs/PLAN.md.

Shaped to match hark's conventions (uv/src layout, SQLite, CLI) since this
is a candidate for later merging into hark as a module.

.gitignore

@@ -0,0 +1,12 @@
+# Python
+__pycache__/
+*.py[cod]
+.venv/
+dist/
+*.egg-info/
+.pytest_cache/
+
+# Local data
+adscrub.db
+adscrub.db-*
+data/

CHANGELOG.md

@@ -0,0 +1,23 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [Unreleased]
+
+## [0.1.0] - 2026-07-10
+
+### Added
+
+- Project scaffold: uv/pyproject, src layout, pytest.
+- SQLite schema: feeds, episodes, ad_segments (transcript/cut path fields nullable —
+  populated starting M2/M4).
+- Feed ingest: register a source feed (`add-feed`), fetch + parse it, upsert episodes.
+  Idempotent re-runs. Captures each episode's Podcasting 2.0 chapters URL if declared.
+- Chapter-sourced ad detection: scan an episode's chapters JSON for ad/sponsor-keyword
+  titles, store spans in `ad_segments` with no transcription needed.
+- CLI: `adscrub add-feed`, `adscrub ingest`, `adscrub chapters`, `adscrub stats`;
+  `transcribe`/`detect`/`cut`/`serve` registered as stubs reporting their milestone.
+- Unit tests with feed fixtures (no network in tests).

CLAUDE.md

@@ -0,0 +1,72 @@
+# adscrub
+
+Self-hosted podcast ad-detection and removal proxy. Working title — renaming is cheap,
+don't get attached.
+
+## What this is
+
+A homelab service (NOT a mobile app, NOT an AntennaPod fork) that sits between a real
+podcast feed and the owner's player:
+
+1. Fetch each new episode server-side.
+2. Find ad spans — cheaply via existing chapter markers where a feed provides them,
+   otherwise via local transcription + LLM classification.
+3. Cut the ad spans out of the audio (`ffmpeg`).
+4. Re-host a cleaned RSS feed pointing at the cut audio.
+
+The owner's player (AntennaPod) subscribes to the proxy's feed URL instead of the
+original. No player-side modification, ever — same principle as hark's output
+integration.
+
+Origin: a chat design discussion on 2026-07-10 about automatic podcast ad-skipping,
+prompted by AntennaPod's own long-open, unresolved feature request
+(github.com/AntennaPod/AntennaPod/issues/4159 — SponsorBlock-style skipping, still
+`Needs: Decision` as of that date). Decided against waiting on that or building a
+SponsorBlock-style crowdsourced timestamp database (coverage only exists for popular
+shows, and dynamically-inserted/host-read ads are unique per download anyway — nothing
+to crowdsource against). A per-owner proxy that actually transcribes/classifies each
+episode works on any feed, at the cost of real per-episode compute.
+
+## Architecture decisions (already made — don't relitigate)
+
+- Standalone service, shaped like hark/tiltmeter: scheduled ingest → pipeline → SQLite
+  → re-hosted feed. The owner's player stays AntennaPod.
+- **Detection is layered, cheapest-first:** check for existing Podcasting 2.0
+  `<podcast:chapters>` ad markers before ever transcribing. Only fall back to
+  Whisper + LLM classification for feeds/episodes with no usable chapters.
+- **Ad-span classification is LLM-over-transcript, not audio fingerprinting.**
+  Fingerprinting (à la AdBlockRadio) only catches ads that repeat verbatim; modern
+  podcast ads are frequently host-read and/or dynamically inserted per listener, so
+  there's often nothing to fingerprint against. Transcribe, then classify the text.
+- **No CUDA device on this host** (`code`, a LAN host — confirmed no `/dev/nvidia*`,
+  no `nvidia-smi`, 2026-07-10) despite Tendril's GPU work happening elsewhere on the
+  fleet. Whisper here means CPU-only inference (int8-quantized small/base model) until
+  proven otherwise on a box with real passthrough. This is the same open question hark's
+  own PLAN.md already flagged and deferred — now empirically confirmed, not just
+  suspected.
+- Integration output is a regenerated RSS feed, same pattern as hark: the player
+  subscribes to it like any podcast, zero app-side changes.
+
+## Relationship to hark
+
+Explicitly a candidate for later merging into `flan/hark` as a module — both projects
+fetch feeds, upsert episodes into SQLite, and re-host derived feeds for the same
+AntennaPod-stays-unmodified loop. Kept as a separate repo for now because the two
+pipelines (topic extraction from metadata vs. audio transcription/cutting) don't share
+meaningful code yet. Don't build permanence into this separateness (e.g. don't invent
+a distinct auth/web layer, deployment identity, or feed-registration UX that would
+just get thrown away on merge) — keep it a thin CLI + SQLite + pipeline, matching
+hark's own M0/M1 shape, so a later merge is a module import, not a rewrite.
+
+## Conventions
+
+- Python 3.12+, `uv` + `pyproject.toml`, src layout. SQLite for storage. Keep
+  dependencies minimal; don't add faster-whisper/torch etc. until M2 actually needs them.
+- CHANGELOG.md in Keep a Changelog format; SemVer.
+- **No AI/Claude attribution in commit messages** (no Co-Authored-By). Disclose AI use
+  in the README instead. Commit messages describe actual changes, concise; never
+  reference prompts or instructions.
+- Significant multi-commit features go on a feature branch; small increments can go on
+  main while the project is pre-0.1.
+- Remote: private Gitea repo `flan/adscrub` (origin, SSH). Do not create additional
+  remotes or mirrors unprompted.

Dockerfile

@@ -0,0 +1,38 @@
+# adscrub: pipeline CLI in one image. No web frontend yet (see docs/PLAN.md M4).
+#
+# Every pipeline stage is a one-shot command, e.g.:
+#   docker compose run --rm adscrub ingest
+#   docker compose run --rm adscrub chapters
+
+FROM python:3.13-slim
+
+COPY --from=ghcr.io/astral-sh/uv:0.7 /uv /uvx /bin/
+
+WORKDIR /app
+ENV UV_LINK_MODE=copy UV_COMPILE_BYTECODE=1
+
+# dependency layer first: rebuilds only when the lockfile changes
+COPY pyproject.toml uv.lock README.md ./
+RUN --mount=type=cache,target=/root/.cache/uv uv sync --frozen --no-dev --no-install-project
+
+COPY src ./src
+RUN --mount=type=cache,target=/root/.cache/uv uv sync --frozen --no-dev
+
+ENV PATH="/app/.venv/bin:$PATH" \
+    ADSCRUB_DB=/app/data/adscrub.db
+
+# gosu drops from root to the unprivileged `adscrub` user after the entrypoint fixes
+# ownership of /app/data. uid/gid 568 matches TrueNAS SCALE's standard "apps" account,
+# same convention as hark/tiltmeter.
+RUN apt-get update && apt-get install -y --no-install-recommends gosu ffmpeg \
+    && rm -rf /var/lib/apt/lists/* \
+    && groupadd --gid 568 adscrub \
+    && useradd --system --uid 568 --gid 568 --no-create-home adscrub
+
+COPY docker-entrypoint.sh /usr/local/bin/
+RUN chmod +x /usr/local/bin/docker-entrypoint.sh
+
+VOLUME ["/app/data"]
+
+ENTRYPOINT ["docker-entrypoint.sh"]
+CMD ["adscrub", "stats"]

README.md

@@ -0,0 +1,70 @@
+# adscrub
+
+Self-hosted podcast ad-detection and removal proxy. It sits between a real RSS feed
+and your podcast player: fetch each new episode server-side, find the ad spans,
+cut them out of the audio, and re-host a clean feed that the player subscribes to
+instead of the original. No player-side changes — AntennaPod (or anything else)
+just points at a different feed URL.
+
+Why a proxy instead of patching a player: AntennaPod has no ad-skip hook to build
+on, and a feed-level proxy works with any podcast app, not just one.
+
+## Pipeline
+
+1. **Ingest** (done) — register a source feed, fetch it, upsert episodes into SQLite.
+2. **Chapters** (done) — many feeds already mark ad breaks via Podcasting 2.0
+   `<podcast:chapters>`; scan those first since it's free (no transcription needed).
+3. **Transcribe** (not built — M2) — for episodes with no usable chapter markers,
+   transcribe locally with Whisper.
+4. **Detect** (not built — M3) — classify ad spans from the transcript via an LLM
+   call (host-read ad patterns: "brought to you by", promo codes, URL drops, tone
+   shift) — this matters because modern ads are often host-read and unique per
+   episode/listener, so a fingerprint/crowdsourced-timestamp database (SponsorBlock
+   style) can't catch them.
+5. **Cut** (not built — M4) — `ffmpeg` out the ad spans, write the clean audio.
+6. **Serve** (not built — M4/M5) — re-host a cleaned RSS feed pointing at the cut
+   audio; this is the only thing the podcast player ever sees.
+
+See [docs/PLAN.md](docs/PLAN.md) for the full milestone breakdown, including the
+open question about GPU/Whisper feasibility on this host (no CUDA device present
+here — CPU-only inference is the working assumption until proven otherwise
+elsewhere on the homelab).
+
+## Usage
+
+```
+uv sync
+uv run adscrub add-feed https://feeds.example.com/show   # register a feed to proxy
+uv run adscrub ingest                                     # fetch it, upsert episodes
+uv run adscrub chapters                                   # scan chapter markers for ad spans
+uv run adscrub stats                                      # counts
+```
+
+`transcribe` / `detect` / `cut` / `serve` are registered subcommands that report
+"not built yet" until their milestones land — see docs/PLAN.md.
+
+The database defaults to `./adscrub.db`; override with `--db` or `$ADSCRUB_DB`.
+
+## Development
+
+```
+uv run pytest
+```
+
+Tests use local feed fixtures — no network.
+
+## Relationship to hark
+
+This may end up merged into [hark](https://git.onetick.ninja/flan/hark) as a
+module rather than staying a permanently separate service — both projects fetch
+feeds, upsert episodes into SQLite, and re-host derived RSS feeds for the same
+AntennaPod-stays-unmodified loop. Kept separate for now since the two pipelines
+(topic extraction vs. audio transcription/cutting) don't share much code yet;
+don't over-invest in infrastructure that would need to be thrown away if they
+merge later.
+
+## AI use disclosure
+
+This project is developed with substantial assistance from AI coding tools
+(Anthropic Claude). Design decisions and review are human; much of the code is
+AI-written.

compose.yaml

@@ -0,0 +1,11 @@
+# Pipeline one-shot commands. No web frontend yet (see docs/PLAN.md M4).
+#   docker compose run --rm adscrub add-feed https://feeds.example.com/show
+#   docker compose run --rm adscrub ingest
+#   docker compose run --rm adscrub chapters
+#   docker compose run --rm adscrub stats
+services:
+  adscrub:
+    build: .
+    image: adscrub:latest
+    volumes:
+      - ./data:/app/data

docker-entrypoint.sh

@@ -0,0 +1,9 @@
+#!/bin/sh
+# Runs as root just long enough to fix ownership of the mounted /app/data
+# (Docker creates bind mounts and anonymous volumes as root, which the
+# unprivileged `adscrub` user can't write to), then execs into that user for
+# everything else. No application code ever runs as root.
+set -e
+mkdir -p /app/data
+chown -R adscrub:adscrub /app/data
+exec gosu adscrub "$@"

docs/PLAN.md

@@ -0,0 +1,67 @@
+# adscrub — plan
+
+Milestones. Each one ships something usable and gets a CHANGELOG version.
+
+## M0 — scaffold + ingest (done, 0.1.0)
+
+- Project scaffold: uv/pyproject, src layout, pytest.
+- SQLite schema: feeds, episodes, ad_segments.
+- Feed ingest: `add-feed`, `ingest`, idempotent upsert, captures chapters URL.
+- CLI stubs for transcribe/detect/cut/serve so the eventual pipeline shape is visible
+  from `adscrub --help` even before it's built.
+
+## M1 — chapter-sourced ad detection (done, 0.1.0)
+
+- Fetch a feed's `<podcast:chapters>` JSON, keyword-match ad/sponsor chapter titles,
+  store spans in `ad_segments` with `source='chapter'`. No transcription, no LLM call —
+  this is the free case and should cover any feed whose creator already tags ad breaks.
+- Confirmed against feedparser 6.x: the chapters URL lands in
+  `entry["podcast_chapters"]["url"]` for feeds using the conventional "podcast" prefix.
+  Not yet tested against a real-world feed (only a synthetic fixture) — validate against
+  an actual subscribed show before trusting this path in production.
+
+## M2 — transcription
+
+- Local Whisper (faster-whisper, CPU-first) for episodes with no usable chapters URL,
+  or where the chapters pass found nothing.
+- **Open question:** no CUDA device on `code` (confirmed 2026-07-10 — no `/dev/nvidia*`).
+  Decide whether M2 runs CPU-only here (slow but simple) or ships the transcription
+  step to a different homelab box with real GPU passthrough (adds a network hop and a
+  deployment target, but much faster). Don't guess — benchmark CPU-only first; only
+  build the remote-dispatch option if CPU throughput is actually a problem given
+  realistic episode volume.
+- Store transcript + word/segment timestamps; `episodes.transcript_path`.
+
+## M3 — LLM ad-span classification
+
+- Send the timestamped transcript to a Claude model (reuse hark's
+  `$ANTHROPIC_API_KEY`-from-rbw pattern, not a file). Ask it to flag spans matching
+  host-read ad patterns: "brought to you by", promo codes, URL drops, tone/topic shift.
+- Store spans in `ad_segments` with `source='llm'`; keep chapter-sourced spans too
+  (dedup/precedence is a pipeline decision, not a schema one — don't drop lower-confidence
+  sources, prefer/override at cut time).
+
+## M4 — cut + re-hosted feed
+
+- `ffmpeg` extraction of the surviving (non-ad) spans, concat back together, write to
+  `episodes.cut_path`.
+- `feedgen`-based feed regeneration: same episodes, `cut_path` audio instead of the
+  original `audio_url`, served over HTTP. This is the only integration point any
+  podcast player needs — subscribe to this feed's URL instead of the original.
+- Docker deploy on TrueNAS, same shape as hark/tiltmeter (scheduled ingest → pipeline →
+  serve), once the pipeline actually produces something worth deploying.
+
+## M5 — hark module decision
+
+- Once M4 is working end-to-end, decide whether to fold this into `flan/hark` as a
+  module (shared feed-ingest code, one deployed service) or keep it standalone. Don't
+  pre-build shared infrastructure for this before M4 proves the pipeline works —
+  premature merging risks coupling two still-changing pipelines.
+
+## Open questions (owner input needed, don't block on these)
+
+- GPU/Whisper feasibility: CPU-only on `code`, or dispatch to a box with real
+  passthrough? (M2 decision — see above.)
+- Which Claude model for M3 classification (cost vs. accuracy on ad-span boundaries).
+- Real-world validation of the M1 chapters-URL parsing against an actual subscribed
+  feed, not just the synthetic test fixture.

pyproject.toml

@@ -0,0 +1,27 @@
+[project]
+name = "adscrub"
+version = "0.1.0"
+description = "Self-hosted podcast ad-detection and removal proxy"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "anthropic>=0.116.0",
+    "feedparser>=6.0.11",
+    "httpx>=0.28",
+    "feedgen>=1.0.0",
+]
+
+[project.scripts]
+adscrub = "adscrub.cli:main"
+
+[dependency-groups]
+dev = [
+    "pytest>=8.3",
+]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]

src/adscrub/__init__.py

@@ -0,0 +1 @@
+__version__ = "0.1.0"

src/adscrub/chapters.py

@@ -0,0 +1,75 @@
+"""M1: detect ad spans from existing chapter markers (Podcasting 2.0 chapters JSON).
+
+Many feeds already mark ad breaks as chapters (e.g. "Sponsor Break", "Advertisement").
+Where present this is free — no transcription or LLM call needed — so it runs before
+the transcribe/detect pipeline (M2/M3) and its results simply seed the same
+ad_segments table with source="chapter".
+"""
+
+from __future__ import annotations
+
+import re
+import sqlite3
+
+import httpx
+
+_AD_KEYWORDS = re.compile(
+    r"\b(ad|ads|advert|advertisement|sponsor|sponsors|sponsored|promo)\b", re.IGNORECASE
+)
+
+
+def fetch_chapters(client: httpx.Client, chapters_url: str) -> list[dict]:
+    """Fetch and return the raw chapter list from a Podcasting 2.0 chapters JSON URL.
+
+    Format: {"chapters": [{"startTime": 0, "title": "...", "endTime": 30}, ...]}
+    endTime is optional in the spec — callers should treat a missing one as
+    "runs until the next chapter's startTime".
+    """
+    resp = client.get(chapters_url)
+    resp.raise_for_status()
+    return resp.json().get("chapters", [])
+
+
+def ad_spans_from_chapters(chapters: list[dict], episode_duration: float | None = None) -> list[tuple[float, float]]:
+    """Return (start, end) spans for chapters whose title looks like an ad break."""
+    spans = []
+    for i, chapter in enumerate(chapters):
+        title = chapter.get("title") or ""
+        if not _AD_KEYWORDS.search(title):
+            continue
+        start = chapter.get("startTime")
+        if start is None:
+            continue
+        end = chapter.get("endTime")
+        if end is None:
+            end = (
+                chapters[i + 1]["startTime"]
+                if i + 1 < len(chapters) and "startTime" in chapters[i + 1]
+                else episode_duration
+            )
+        if end is None:
+            continue
+        spans.append((float(start), float(end)))
+    return spans
+
+
+def scan_episode(conn: sqlite3.Connection, client: httpx.Client, episode: sqlite3.Row) -> int:
+    """Fetch chapters for one episode and store any ad spans found. Returns count stored."""
+    if not episode["chapters_url"]:
+        return 0
+    chapters = fetch_chapters(client, episode["chapters_url"])
+    spans = ad_spans_from_chapters(chapters, episode["duration_seconds"])
+    for start, end in spans:
+        conn.execute(
+            """
+            INSERT INTO ad_segments (episode_id, start_second, end_second, source)
+            VALUES (?, ?, ?, 'chapter')
+            """,
+            (episode["id"], start, end),
+        )
+    if spans:
+        conn.execute(
+            "UPDATE episodes SET status = 'chapters_scanned' WHERE id = ?", (episode["id"],)
+        )
+    conn.commit()
+    return len(spans)

src/adscrub/cli.py

@@ -0,0 +1,134 @@
+"""adscrub command line: add-feed, ingest, chapters, stats (transcribe/detect/cut/serve: M2+)."""
+
+from __future__ import annotations
+
+import argparse
+import os
+import sys
+
+import httpx
+
+from . import __version__, chapters, db, ingest
+
+DEFAULT_DB = os.environ.get("ADSCRUB_DB", "adscrub.db")
+USER_AGENT = f"adscrub/{__version__} (homelab podcast ad-removal proxy)"
+
+_NOT_BUILT_YET = {
+    "transcribe": "M2",
+    "detect": "M3",
+    "cut": "M4",
+    "serve": "M4/M5",
+}
+
+
+def make_client() -> httpx.Client:
+    return httpx.Client(
+        timeout=30.0, follow_redirects=True, headers={"User-Agent": USER_AGENT}
+    )
+
+
+def cmd_add_feed(args: argparse.Namespace) -> int:
+    conn = db.connect(args.db)
+    feed = ingest.add_feed(conn, args.url)
+    print(f"  ok    feed #{feed['id']}: {feed['source_url']}")
+    return 0
+
+
+def cmd_ingest(args: argparse.Namespace) -> int:
+    conn = db.connect(args.db)
+    with make_client() as client:
+        results = ingest.ingest_all(conn, client)
+    if not results:
+        print("no feeds registered — run `adscrub add-feed <url>` first", file=sys.stderr)
+        return 1
+    errors = 0
+    for r in results:
+        if r.error:
+            errors += 1
+            print(f"  FAIL  {r.source_url}: {r.error}")
+        else:
+            print(f"  ok    {r.source_url}: +{r.inserted} new, {r.updated} updated ({r.total} in feed)")
+    return 1 if errors else 0
+
+
+def cmd_chapters(args: argparse.Namespace) -> int:
+    conn = db.connect(args.db)
+    episodes = conn.execute(
+        "SELECT * FROM episodes WHERE chapters_url IS NOT NULL AND status = 'new'"
+    ).fetchall()
+    if not episodes:
+        print("no episodes with an unscanned chapters_url", file=sys.stderr)
+        return 1
+    found = 0
+    with make_client() as client:
+        for ep in episodes:
+            try:
+                n = chapters.scan_episode(conn, client, ep)
+            except httpx.HTTPError as exc:
+                print(f"  FAIL  {ep['title']}: {exc}")
+                continue
+            found += n
+            print(f"  ok    {ep['title']}: {n} ad span(s) from chapters")
+    print(f"found {found} chapter-sourced ad span(s) across {len(episodes)} episode(s)")
+    return 0
+
+
+def cmd_stats(args: argparse.Namespace) -> int:
+    conn = db.connect(args.db)
+    feeds = conn.execute("SELECT COUNT(*) FROM feeds").fetchone()[0]
+    episodes = conn.execute("SELECT COUNT(*) FROM episodes").fetchone()[0]
+    segments = conn.execute("SELECT COUNT(*) FROM ad_segments").fetchone()[0]
+    by_source = conn.execute(
+        "SELECT source, COUNT(*) AS n FROM ad_segments GROUP BY source"
+    ).fetchall()
+    print(f"feeds:       {feeds}")
+    print(f"episodes:    {episodes}")
+    print(f"ad_segments: {segments}")
+    for row in by_source:
+        print(f"  {row['source']:<10} {row['n']}")
+    return 0
+
+
+def _cmd_not_built_yet(name: str):
+    def handler(args: argparse.Namespace) -> int:
+        milestone = _NOT_BUILT_YET[name]
+        print(f"`adscrub {name}` is not built yet ({milestone}) — see docs/PLAN.md",
+              file=sys.stderr)
+        return 1
+    return handler
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(
+        prog="adscrub", description="Self-hosted podcast ad-detection and removal proxy."
+    )
+    parser.add_argument("--version", action="version", version=f"adscrub {__version__}")
+    parser.add_argument(
+        "--db", default=DEFAULT_DB,
+        help=f"SQLite database path (default: $ADSCRUB_DB or {DEFAULT_DB})",
+    )
+    sub = parser.add_subparsers(dest="command", required=True)
+
+    p = sub.add_parser("add-feed", help="register a source podcast feed to proxy")
+    p.add_argument("url", help="source feed URL")
+    p.set_defaults(func=cmd_add_feed)
+
+    p = sub.add_parser("ingest", help="fetch registered feeds and upsert episodes")
+    p.set_defaults(func=cmd_ingest)
+
+    p = sub.add_parser("chapters", help="scan episodes' existing chapter markers for ad spans")
+    p.set_defaults(func=cmd_chapters)
+
+    p = sub.add_parser("stats", help="print database counts")
+    p.set_defaults(func=cmd_stats)
+
+    for name in _NOT_BUILT_YET:
+        p = sub.add_parser(name, help=f"not built yet ({_NOT_BUILT_YET[name]})")
+        p.set_defaults(func=_cmd_not_built_yet(name))
+
+    args = parser.parse_args(argv)
+    return args.func(args)
+
+
+if __name__ == "__main__":
+    sys.exit(main())

src/adscrub/cut.py

@@ -0,0 +1,14 @@
+"""M4: cut ad_segments out of the downloaded audio with ffmpeg.
+
+Not implemented yet. Approach: ffmpeg -ss/-to segment extraction for the
+surviving (non-ad) spans, concat-demuxer them back together, write the
+result to episodes.cut_path. See docs/PLAN.md M4.
+"""
+
+from __future__ import annotations
+
+import sqlite3
+
+
+def cut_ads(conn: sqlite3.Connection, episode: sqlite3.Row, audio_path: str) -> str:
+    raise NotImplementedError("M4: audio cutting not built yet — see docs/PLAN.md")

src/adscrub/db.py

@@ -0,0 +1,69 @@
+"""SQLite storage: schema and connection helper."""
+
+from __future__ import annotations
+
+import sqlite3
+from datetime import datetime, timezone
+from pathlib import Path
+
+SCHEMA = """
+PRAGMA foreign_keys = ON;
+
+CREATE TABLE IF NOT EXISTS feeds (
+    id              INTEGER PRIMARY KEY,
+    source_url      TEXT NOT NULL UNIQUE,
+    title           TEXT,
+    description     TEXT,
+    image_url       TEXT,
+    last_fetched_at TEXT,
+    created_at      TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
+    updated_at      TEXT
+);
+
+CREATE TABLE IF NOT EXISTS episodes (
+    id               INTEGER PRIMARY KEY,
+    feed_id          INTEGER NOT NULL REFERENCES feeds(id) ON DELETE CASCADE,
+    guid             TEXT NOT NULL,
+    title            TEXT,
+    description      TEXT,
+    pubdate          TEXT,
+    duration_seconds INTEGER,
+    audio_url        TEXT,
+    chapters_url     TEXT,
+    status           TEXT NOT NULL DEFAULT 'new',
+    local_path       TEXT,
+    transcript_path  TEXT,
+    cut_path         TEXT,
+    created_at       TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
+    updated_at       TEXT,
+    UNIQUE (feed_id, guid)
+);
+
+-- Ad spans for an episode, however they were found. Multiple sources can
+-- coexist (e.g. a chapter-sourced span later confirmed by transcript
+-- classification) — dedup/precedence is a pipeline concern, not a schema one.
+CREATE TABLE IF NOT EXISTS ad_segments (
+    id           INTEGER PRIMARY KEY,
+    episode_id   INTEGER NOT NULL REFERENCES episodes(id) ON DELETE CASCADE,
+    start_second REAL NOT NULL,
+    end_second   REAL NOT NULL,
+    source       TEXT NOT NULL,
+    confidence   REAL,
+    created_at   TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now'))
+);
+
+CREATE INDEX IF NOT EXISTS idx_episodes_feed_pubdate ON episodes (feed_id, pubdate);
+CREATE INDEX IF NOT EXISTS idx_ad_segments_episode ON ad_segments (episode_id);
+"""
+
+
+def connect(path: str | Path) -> sqlite3.Connection:
+    conn = sqlite3.connect(path)
+    conn.row_factory = sqlite3.Row
+    conn.executescript(SCHEMA)
+    conn.commit()
+    return conn
+
+
+def utcnow() -> str:
+    return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")

src/adscrub/detect.py

@@ -0,0 +1,17 @@
+"""M3: classify ad spans from a transcript via LLM call.
+
+Not implemented yet. Approach: send the timestamped transcript to a Claude
+model and ask it to flag spans matching host-read ad patterns ("brought to
+you by", promo codes, URL drops, sudden tone/topic shift) — this is far more
+robust than fingerprinting, since dynamically-inserted and host-read ads are
+usually unique per download and can't be matched against a known-ad database.
+See docs/PLAN.md M3.
+"""
+
+from __future__ import annotations
+
+import sqlite3
+
+
+def detect_ad_spans(conn: sqlite3.Connection, episode: sqlite3.Row, transcript_path: str) -> list[tuple[float, float]]:
+    raise NotImplementedError("M3: LLM ad-span classification not built yet — see docs/PLAN.md")

src/adscrub/feed.py

@@ -0,0 +1,15 @@
+"""M4/M5: re-host a cleaned feed (feedgen) pointing at cut_path episodes.
+
+Not implemented yet. This is the only integration point AntennaPod (or any
+podcast app) ever sees: subscribe to this feed's URL instead of the
+original — same shape as hark's own "output integration" (custom RSS feeds
+subscribed to like any podcast, no app-side changes). See docs/PLAN.md M4-M5.
+"""
+
+from __future__ import annotations
+
+import sqlite3
+
+
+def build_feed(conn: sqlite3.Connection, feed_id: int) -> bytes:
+    raise NotImplementedError("M4/M5: proxy feed generation not built yet — see docs/PLAN.md")

src/adscrub/ingest.py

@@ -0,0 +1,209 @@
+"""RSS ingest: fetch a proxied feed, parse episodes, upsert into SQLite.
+
+Re-runs are idempotent: unchanged episodes are left alone, changed ones are
+updated in place, new ones inserted. Episodes are keyed by (feed_id, guid).
+"""
+
+from __future__ import annotations
+
+import sqlite3
+import time
+from dataclasses import dataclass
+
+import feedparser
+import httpx
+
+from .db import utcnow
+
+# Fields compared to decide whether an existing episode row needs an update.
+_EPISODE_FIELDS = ("title", "description", "pubdate", "duration_seconds", "audio_url",
+                   "chapters_url")
+
+
+@dataclass
+class ParsedEpisode:
+    guid: str
+    title: str | None
+    description: str | None
+    pubdate: str | None
+    duration_seconds: int | None
+    audio_url: str | None
+    chapters_url: str | None
+
+
+@dataclass
+class ParsedFeed:
+    title: str | None
+    description: str | None
+    image_url: str | None
+    episodes: list[ParsedEpisode]
+
+
+@dataclass
+class IngestResult:
+    feed_id: int
+    source_url: str
+    inserted: int = 0
+    updated: int = 0
+    total: int = 0
+    error: str | None = None
+
+
+def parse_duration(value) -> int | None:
+    """Parse itunes:duration — plain seconds, MM:SS, or HH:MM:SS."""
+    if value is None:
+        return None
+    parts = str(value).strip().split(":")
+    try:
+        nums = [int(float(p)) for p in parts]
+    except ValueError:
+        return None
+    if len(nums) == 1:
+        return nums[0]
+    if len(nums) == 2:
+        return nums[0] * 60 + nums[1]
+    if len(nums) == 3:
+        return nums[0] * 3600 + nums[1] * 60 + nums[2]
+    return None
+
+
+def _audio_url(entry) -> str | None:
+    for enclosure in entry.get("enclosures", []):
+        href = enclosure.get("href")
+        mime = enclosure.get("type") or ""
+        if href and (not mime or mime.startswith("audio/")):
+            return href
+    return None
+
+
+def _pubdate(entry) -> str | None:
+    parsed = entry.get("published_parsed") or entry.get("updated_parsed")
+    if parsed:
+        return time.strftime("%Y-%m-%dT%H:%M:%SZ", parsed)
+    return None
+
+
+def _chapters_url(entry) -> str | None:
+    """Podcasting 2.0 <podcast:chapters url="..."/> if the feed declares it.
+
+    Verified against feedparser 6.x: it exposes elements from namespaces it
+    doesn't recognize under a key built from the document's own prefix, so a
+    feed using the conventional "podcast" prefix lands in entry["podcast_chapters"]
+    as {"url": ..., "type": ...}. A feed using a different prefix for the same
+    namespace URI would need a fallback here — not yet hit in practice.
+    """
+    chapters = entry.get("podcast_chapters")
+    if isinstance(chapters, dict):
+        return chapters.get("url") or chapters.get("href")
+    return None
+
+
+def parse_feed(content: bytes | str) -> ParsedFeed:
+    parsed = feedparser.parse(content)
+    episodes = []
+    for entry in parsed.entries:
+        audio_url = _audio_url(entry)
+        guid = entry.get("id") or audio_url or entry.get("link")
+        if not guid:
+            continue
+        episodes.append(
+            ParsedEpisode(
+                guid=guid,
+                title=entry.get("title"),
+                description=entry.get("summary"),
+                pubdate=_pubdate(entry),
+                duration_seconds=parse_duration(entry.get("itunes_duration")),
+                audio_url=audio_url,
+                chapters_url=_chapters_url(entry),
+            )
+        )
+    feed = parsed.feed
+    return ParsedFeed(
+        title=feed.get("title"),
+        description=feed.get("description") or feed.get("subtitle"),
+        image_url=feed.get("image", {}).get("href"),
+        episodes=episodes,
+    )
+
+
+def add_feed(conn: sqlite3.Connection, source_url: str) -> sqlite3.Row:
+    """Register a source feed to proxy. No-op (returns existing row) if already added."""
+    conn.execute(
+        "INSERT INTO feeds (source_url) VALUES (?) ON CONFLICT (source_url) DO NOTHING",
+        (source_url,),
+    )
+    conn.commit()
+    return conn.execute("SELECT * FROM feeds WHERE source_url = ?", (source_url,)).fetchone()
+
+
+def upsert_episodes(
+    conn: sqlite3.Connection, feed_id: int, episodes: list[ParsedEpisode]
+) -> tuple[int, int]:
+    """Insert new episodes, update changed ones. Returns (inserted, updated)."""
+    existing = {
+        row["guid"]: row
+        for row in conn.execute("SELECT * FROM episodes WHERE feed_id = ?", (feed_id,))
+    }
+    inserted = updated = 0
+    seen: set[str] = set()
+    for ep in episodes:
+        if ep.guid in seen:
+            continue
+        seen.add(ep.guid)
+        row = existing.get(ep.guid)
+        if row is None:
+            conn.execute(
+                """
+                INSERT INTO episodes
+                    (feed_id, guid, title, description, pubdate, duration_seconds,
+                     audio_url, chapters_url)
+                VALUES (?, ?, ?, ?, ?, ?, ?, ?)
+                """,
+                (feed_id, ep.guid, ep.title, ep.description, ep.pubdate,
+                 ep.duration_seconds, ep.audio_url, ep.chapters_url),
+            )
+            inserted += 1
+        elif any(row[field] != getattr(ep, field) for field in _EPISODE_FIELDS):
+            conn.execute(
+                """
+                UPDATE episodes
+                SET title = ?, description = ?, pubdate = ?, duration_seconds = ?,
+                    audio_url = ?, chapters_url = ?, updated_at = ?
+                WHERE id = ?
+                """,
+                (ep.title, ep.description, ep.pubdate, ep.duration_seconds,
+                 ep.audio_url, ep.chapters_url, utcnow(), row["id"]),
+            )
+            updated += 1
+    return inserted, updated
+
+
+def ingest_feed(conn: sqlite3.Connection, client: httpx.Client, feed: sqlite3.Row) -> IngestResult:
+    result = IngestResult(feed_id=feed["id"], source_url=feed["source_url"])
+    try:
+        resp = client.get(feed["source_url"])
+        resp.raise_for_status()
+    except httpx.HTTPError as exc:
+        result.error = str(exc)
+        return result
+    parsed = parse_feed(resp.content)
+    result.inserted, result.updated = upsert_episodes(conn, feed["id"], parsed.episodes)
+    result.total = len(parsed.episodes)
+    conn.execute(
+        """
+        UPDATE feeds
+        SET title = COALESCE(?, title),
+            description = COALESCE(?, description),
+            image_url = COALESCE(?, image_url),
+            last_fetched_at = ?
+        WHERE id = ?
+        """,
+        (parsed.title, parsed.description, parsed.image_url, utcnow(), feed["id"]),
+    )
+    conn.commit()
+    return result
+
+
+def ingest_all(conn: sqlite3.Connection, client: httpx.Client) -> list[IngestResult]:
+    feeds = conn.execute("SELECT * FROM feeds ORDER BY id").fetchall()
+    return [ingest_feed(conn, client, feed) for feed in feeds]

src/adscrub/transcribe.py

@@ -0,0 +1,17 @@
+"""M2: local transcription for episodes with no usable chapter markers.
+
+Not implemented yet. Intended backend: faster-whisper. This host has no
+CUDA device (`/dev/nvidia*` absent) so the first working version should
+assume CPU-only inference (int8 quantized small/base model) and treat GPU
+as an optional speed-up available only where real passthrough exists —
+see docs/PLAN.md M2 and the open question inherited from hark's own
+Whisper-feasibility note.
+"""
+
+from __future__ import annotations
+
+import sqlite3
+
+
+def transcribe_episode(conn: sqlite3.Connection, episode: sqlite3.Row, audio_path: str) -> str:
+    raise NotImplementedError("M2: transcription pipeline not built yet — see docs/PLAN.md")

tests/conftest.py

@@ -0,0 +1,10 @@
+from pathlib import Path
+
+import pytest
+
+FIXTURES = Path(__file__).parent / "fixtures"
+
+
+@pytest.fixture
+def fixtures():
+    return FIXTURES

tests/fixtures/ep1_chapters.json

@@ -0,0 +1,9 @@
+{
+  "chapters": [
+    {"startTime": 0, "title": "Intro"},
+    {"startTime": 45, "title": "Sponsor Break", "endTime": 105},
+    {"startTime": 105, "title": "Main segment"},
+    {"startTime": 3600, "title": "Ad: back to it later", "endTime": 3660},
+    {"startTime": 3660, "title": "Outro"}
+  ]
+}

tests/fixtures/feed_a.xml

@@ -0,0 +1,27 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<rss version="2.0"
+     xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"
+     xmlns:podcast="https://podcastindex.org/namespace/1.0">
+<channel>
+<title>Example Show</title>
+<description>A show for tests.</description>
+<image><url>https://example.com/art.png</url></image>
+<item>
+  <title>Episode 1: With chapters</title>
+  <guid>ep-001</guid>
+  <description>Has a chapters URL.</description>
+  <pubDate>Thu, 01 Jan 2026 06:00:00 GMT</pubDate>
+  <itunes:duration>01:02:03</itunes:duration>
+  <podcast:chapters url="https://example.com/ep1-chapters.json" type="application/json+chapters"/>
+  <enclosure url="https://example.com/audio/ep1.mp3" type="audio/mpeg" length="123"/>
+</item>
+<item>
+  <title>Episode 2: No chapters</title>
+  <guid>ep-002</guid>
+  <description>No chapters URL at all.</description>
+  <pubDate>Fri, 02 Jan 2026 06:00:00 GMT</pubDate>
+  <itunes:duration>45:00</itunes:duration>
+  <enclosure url="https://example.com/audio/ep2.mp3" type="audio/mpeg" length="456"/>
+</item>
+</channel>
+</rss>

tests/test_chapters.py

@@ -0,0 +1,68 @@
+import httpx
+import pytest
+
+from adscrub import chapters, db, ingest
+
+CHAPTERS_URL = "https://example.com/ep1-chapters.json"
+FEED_URL = "https://feeds.example.com/show-a"
+
+
+@pytest.fixture
+def conn(tmp_path, fixtures):
+    conn = db.connect(tmp_path / "test.db")
+    feed = ingest.add_feed(conn, FEED_URL)
+    with (fixtures / "feed_a.xml").open("rb") as fh:
+        parsed = ingest.parse_feed(fh.read())
+    ingest.upsert_episodes(conn, feed["id"], parsed.episodes)
+    conn.commit()
+    return conn
+
+
+def chapters_client(fixtures, status=200):
+    content = (fixtures / "ep1_chapters.json").read_bytes()
+
+    def handler(request):
+        assert str(request.url) == CHAPTERS_URL
+        return httpx.Response(status, content=content)
+
+    return httpx.Client(transport=httpx.MockTransport(handler))
+
+
+def test_ad_spans_from_chapters_matches_keyword_titles(fixtures):
+    data = (fixtures / "ep1_chapters.json").read_text()
+    import json
+
+    parsed = json.loads(data)["chapters"]
+    spans = chapters.ad_spans_from_chapters(parsed)
+    assert spans == [(45.0, 105.0), (3600.0, 3660.0)]
+
+
+def test_ad_spans_ignores_non_ad_chapters():
+    spans = chapters.ad_spans_from_chapters(
+        [{"startTime": 0, "title": "Intro"}, {"startTime": 60, "title": "Main"}]
+    )
+    assert spans == []
+
+
+def test_scan_episode_stores_ad_segments(conn, fixtures):
+    ep = conn.execute("SELECT * FROM episodes WHERE guid = 'ep-001'").fetchone()
+    with chapters_client(fixtures) as client:
+        n = chapters.scan_episode(conn, client, ep)
+    assert n == 2
+
+    rows = conn.execute(
+        "SELECT * FROM ad_segments WHERE episode_id = ? ORDER BY start_second", (ep["id"],)
+    ).fetchall()
+    assert [(r["start_second"], r["end_second"], r["source"]) for r in rows] == [
+        (45.0, 105.0, "chapter"),
+        (3600.0, 3660.0, "chapter"),
+    ]
+
+    status = conn.execute("SELECT status FROM episodes WHERE id = ?", (ep["id"],)).fetchone()[0]
+    assert status == "chapters_scanned"
+
+
+def test_scan_episode_skips_when_no_chapters_url(conn):
+    ep = conn.execute("SELECT * FROM episodes WHERE guid = 'ep-002'").fetchone()
+    n = chapters.scan_episode(conn, httpx.Client(), ep)
+    assert n == 0

tests/test_cli.py

@@ -0,0 +1,53 @@
+from adscrub import cli, db
+
+
+def test_add_feed_then_stats(tmp_path, capsys):
+    path = tmp_path / "t.db"
+    rc = cli.main(["--db", str(path), "add-feed", "http://a"])
+    assert rc == 0
+    assert "feed #1: http://a" in capsys.readouterr().out
+
+    rc = cli.main(["--db", str(path), "stats"])
+    assert rc == 0
+    out = capsys.readouterr().out
+    assert "feeds:       1" in out
+    assert "episodes:    0" in out
+
+
+def test_stats_on_empty_db(tmp_path, capsys):
+    rc = cli.main(["--db", str(tmp_path / "t.db"), "stats"])
+    assert rc == 0
+    out = capsys.readouterr().out
+    assert "feeds:       0" in out
+    assert "episodes:    0" in out
+    assert "ad_segments: 0" in out
+
+
+def test_ingest_with_no_feeds_fails(tmp_path, capsys):
+    rc = cli.main(["--db", str(tmp_path / "t.db"), "ingest"])
+    assert rc == 1
+    assert "adscrub add-feed" in capsys.readouterr().err
+
+
+def test_chapters_with_nothing_to_scan_fails(tmp_path, capsys):
+    rc = cli.main(["--db", str(tmp_path / "t.db"), "chapters"])
+    assert rc == 1
+    assert "no episodes" in capsys.readouterr().err
+
+
+def test_not_built_yet_commands_report_milestone(tmp_path, capsys):
+    for name, milestone in [
+        ("transcribe", "M2"), ("detect", "M3"), ("cut", "M4"), ("serve", "M4/M5"),
+    ]:
+        rc = cli.main(["--db", str(tmp_path / "t.db"), name])
+        assert rc == 1
+        assert milestone in capsys.readouterr().err
+
+
+def test_version(capsys):
+    try:
+        cli.main(["--version"])
+    except SystemExit as exc:
+        assert exc.code == 0
+    out = capsys.readouterr().out
+    assert "adscrub" in out

tests/test_db.py

@@ -0,0 +1,55 @@
+import sqlite3
+
+import pytest
+
+from adscrub import db
+
+
+@pytest.fixture
+def conn(tmp_path):
+    return db.connect(tmp_path / "test.db")
+
+
+def test_connect_creates_tables(conn):
+    tables = {
+        row["name"]
+        for row in conn.execute("SELECT name FROM sqlite_master WHERE type = 'table'")
+    }
+    assert {"feeds", "episodes", "ad_segments"} <= tables
+
+
+def test_connect_is_idempotent(tmp_path):
+    path = tmp_path / "test.db"
+    db.connect(path).close()
+    db.connect(path).close()
+
+
+def test_foreign_keys_enforced(conn):
+    with pytest.raises(sqlite3.IntegrityError):
+        conn.execute("INSERT INTO episodes (feed_id, guid) VALUES (999, 'x')")
+
+
+def test_episode_guid_unique_per_feed(conn):
+    conn.execute("INSERT INTO feeds (source_url) VALUES ('http://a')")
+    conn.execute("INSERT INTO feeds (source_url) VALUES ('http://b')")
+    conn.execute("INSERT INTO episodes (feed_id, guid) VALUES (1, 'ep-1')")
+    # same guid on another feed is fine
+    conn.execute("INSERT INTO episodes (feed_id, guid) VALUES (2, 'ep-1')")
+    with pytest.raises(sqlite3.IntegrityError):
+        conn.execute("INSERT INTO episodes (feed_id, guid) VALUES (1, 'ep-1')")
+
+
+def test_ad_segments_cascade_on_episode_delete(conn):
+    conn.execute("INSERT INTO feeds (source_url) VALUES ('http://a')")
+    conn.execute("INSERT INTO episodes (feed_id, guid) VALUES (1, 'ep-1')")
+    conn.execute(
+        "INSERT INTO ad_segments (episode_id, start_second, end_second, source)"
+        " VALUES (1, 0, 30, 'chapter')"
+    )
+    conn.execute("DELETE FROM episodes WHERE id = 1")
+    assert conn.execute("SELECT COUNT(*) FROM ad_segments").fetchone()[0] == 0
+
+
+def test_utcnow_format():
+    value = db.utcnow()
+    assert len(value) == 20 and value.endswith("Z") and value[10] == "T"

tests/test_ingest.py

@@ -0,0 +1,95 @@
+import httpx
+import pytest
+
+from adscrub import db, ingest
+
+FEED_URL = "https://feeds.example.com/show-a"
+
+
+@pytest.fixture
+def conn(tmp_path):
+    conn = db.connect(tmp_path / "test.db")
+    return conn
+
+
+def feed_client(fixtures, name, status=200):
+    content = (fixtures / name).read_bytes() if name else b""
+
+    def handler(request):
+        assert str(request.url) == FEED_URL
+        return httpx.Response(status, content=content)
+
+    return httpx.Client(transport=httpx.MockTransport(handler))
+
+
+# --- parsing ---
+
+
+def test_parse_feed(fixtures):
+    parsed = ingest.parse_feed((fixtures / "feed_a.xml").read_bytes())
+    assert parsed.title == "Example Show"
+    assert parsed.description == "A show for tests."
+    assert parsed.image_url == "https://example.com/art.png"
+    assert len(parsed.episodes) == 2
+
+    ep1, ep2 = parsed.episodes
+    assert ep1.guid == "ep-001"
+    assert ep1.duration_seconds == 3723
+    assert ep1.audio_url == "https://example.com/audio/ep1.mp3"
+    assert ep1.chapters_url == "https://example.com/ep1-chapters.json"
+
+    assert ep2.duration_seconds == 2700
+    assert ep2.chapters_url is None
+
+
+@pytest.mark.parametrize(
+    ("value", "expected"),
+    [
+        ("01:02:03", 3723),
+        ("45:00", 2700),
+        ("90", 90),
+        ("bogus", None),
+        (None, None),
+    ],
+)
+def test_parse_duration(value, expected):
+    assert ingest.parse_duration(value) == expected
+
+
+# --- add_feed / ingest ---
+
+
+def test_add_feed_is_idempotent(conn):
+    a = ingest.add_feed(conn, FEED_URL)
+    b = ingest.add_feed(conn, FEED_URL)
+    assert a["id"] == b["id"]
+    assert conn.execute("SELECT COUNT(*) FROM feeds").fetchone()[0] == 1
+
+
+def test_ingest_all_inserts_then_updates(conn, fixtures):
+    feed = ingest.add_feed(conn, FEED_URL)
+
+    with feed_client(fixtures, "feed_a.xml") as client:
+        [result] = ingest.ingest_all(conn, client)
+    assert result.error is None
+    assert result.inserted == 2
+    assert result.updated == 0
+    assert result.total == 2
+
+    episodes = conn.execute(
+        "SELECT * FROM episodes WHERE feed_id = ? ORDER BY guid", (feed["id"],)
+    ).fetchall()
+    assert [e["guid"] for e in episodes] == ["ep-001", "ep-002"]
+    assert episodes[0]["chapters_url"] == "https://example.com/ep1-chapters.json"
+
+    # re-ingesting the same feed content changes nothing
+    with feed_client(fixtures, "feed_a.xml") as client:
+        [result] = ingest.ingest_all(conn, client)
+    assert (result.inserted, result.updated) == (0, 0)
+
+
+def test_ingest_all_reports_http_errors(conn):
+    ingest.add_feed(conn, FEED_URL)
+    with feed_client(None, None, status=500) as client:
+        [result] = ingest.ingest_all(conn, client)
+    assert result.error is not None

uv.lock

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