8 Commits

Author SHA1 Message Date
mikkeli b5c12bfcb4 Send stored audio as a Blob body so large files upload on HTTP/1.1
Files over 8 MB were sent as a ReadableStream with duplex: 'half'. Chrome
only allows streaming request bodies over HTTP/2+, so every such upload
failed with "Failed to fetch" on HTTP/1.1 (e.g. http://localhost). A Blob
body is read lazily from OPFS by the browser, so it keeps the "never hold
the whole master in memory" property without depending on the protocol.

Verified in headless Chromium: a 33 MB WAV drops and analyses both at
http://localhost:8050 and behind Cloudflare/Caddy at a /uj/ prefix.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015UXA39Sh9coAx4FhRkd8R2
2026-09-14 02:44:20 +09:00
mikkeli e50eff9122 Use relative asset and API URLs so the UI works under a path prefix
index.html and app.js requested /static/... and /api/... from the site
root, so serving the app behind a reverse proxy at a sub-path (e.g.
https://host/uj/ with the prefix stripped) 404'd every asset and call.
Relative URLs resolve against the page, which is the same at / and at
/uj/; direct access is unchanged.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015UXA39Sh9coAx4FhRkd8R2
2026-09-14 02:37:26 +09:00
mikkeli 677d09524e Make the hidden attribute win over display rules
.drop-overlay sets display: flex, which beats the UA's [hidden] rule, so
the "Drop to analyse" overlay covered the page permanently and hid the
status line. A global [hidden] { display: none !important } fixes it and
any other element that pairs `hidden` with a display class.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015UXA39Sh9coAx4FhRkd8R2
2026-09-14 02:33:28 +09:00
mikkeli 5c918109d5 Keep master_core off Qt so the web image starts
master_core imported safe_title from font_manager, which imports PyQt5 at
module load. The web extra installs no Qt, so `ujm-web` crashed on startup
with "No module named 'PyQt5'" inside the container. safe_title is only a
UTF-8 round-trip, so master_core now carries its own Qt-free copy; the
desktop path keeps using font_manager's.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015UXA39Sh9coAx4FhRkd8R2
2026-09-14 02:33:28 +09:00
irene a1fed2cd71 Add docker compose deployment template
Multi-stage image built from the `web` extra only, so it carries no Qt: the
whole web path (webapp, web_session, metrics_json, and the shared analysis
modules) imports no Qt, pyqtgraph or matplotlib canvas. The build stage has the
compiler scipy/numba need; the runtime layer installs the built wheel, so the
same image works from a checkout or a release tarball.

Compose declares no audio volume on purpose. The app keeps no audio, so there is
nothing to persist: `read_only` plus a /tmp tmpfs means request spools are
memory-backed and never reach a disk. Publishing is loopback-only because the
tool has no authentication, and BLAS thread pools are pinned because analysis is
CPU-bound.

Fix three packaging bugs the build surfaced, each of which broke the image:

- `pip install --extra web` is not valid for a source tree; uv wants `.[web]`
  and failed with "Requesting extras requires a pylock.toml".
- The wheel shipped no static assets at all. `package-data` keys match
  *packages*, and the app modules are top-level `py-modules`, so the `"*"` key
  matched nothing - verified by inspecting the built wheel: 14 .py files, zero
  HTML/JS/CSS. An installed `ujm-web` would have 404'd every asset. `static/` is
  now declared a package (hence its packaging-shim `__init__.py`) so the assets
  install next to the modules, which is where `webapp.py` looks for them.
- The Dockerfile's curated COPY list omitted modules that `py-modules` requires,
  failing the build with "file <module>.py not found". It copies the checkout,
  filtered by .dockerignore.

Move PyQt5/pyqtgraph into a `desktop` extra so the web install is genuinely
Qt-free. Verified: `find` for Qt in a web-only venv now returns nothing, and the
desktop path still resolves and imports.

Add scripts/make_fixtures.py so the smoke suite has no network or ffmpeg
dependency (the tagged MP3 is optional and its assertions skip when absent), and
make the suite tolerate that. Verified against the *installed package* running
the container's own command line, from a directory with no source tree:
61/61 passing.

Also correct README claims that had gone stale: BPM (removed), the matplotlib
canvas (replaced by pyqtgraph), and font_control_widget.py (deleted).
2026-09-14 01:57:00 +09:00
irene 5df802a574 Add web UI: same backend, browser front end
Reuses the analysis backend unchanged. metrics.py already split compute()
from build_spec(), and plotspec.PlotSpec is backend-agnostic, so the web UI
reimplements only the renderer: uPlot for curves/bands, a canvas for the
spectrogram heatmap. No PyQt5, pyqtgraph or matplotlib on the web path.

Uploaded audio is never persisted on the host. The browser copies each file
into Origin Private File System (sandboxed browser storage) and streams the
bytes to the server per request; the server spools each body to a temp file,
decodes, computes, and unlinks it in a finally before responding. There is no
upload directory, no cache of audio, and no session state keyed on a path:
file_id is the SHA-256 of the audio, so re-sending a master for another metric
reuses the first decode. Verified: a spool is observable mid-request and gone
after the response.

Being precise: the bytes do have to reach the server, since librosa decodes
from a path and the analysis is CPU-bound numpy/scipy. The claim is that
running this does not accumulate masters on the host, not that audio is never
on the machine mid-request.

New:
  metrics_json.py       PlotSpec/metric data -> JSON (the renderer seam)
  web_session.py        headless analysis session, content-addressed tracks
  webapp.py             FastAPI routes, raw-body analysis, ujm-web entry point
  static/               browser front end + test suite
  scripts/webapi_smoke.py  61 end-to-end assertions against a running server

Also fixes a bug the direct-uvicorn dev loop had hidden: the CLI advertises
logger_setup's WARN level but passed it straight to uvicorn, which only knows
'warning' -- `ujm-web --log-level WARN` died with KeyError: 'warn'.

Removes an earlier /api/collect debug route that served every source module
over HTTP.

pyproject: 'web' extra (fastapi, uvicorn, python-multipart), package-data for
static/, Apache-2.0 licence.
2026-09-14 01:44:48 +09:00
irene 99d99b866f Switch license from GPL-3.0 to Apache-2.0
- Replace LICENSE with properly filled Apache-2.0 (Mikkeli Matlock 2026)
- Add license field to pyproject.toml
- Add SPDX-License-Identifier headers to all .py source files
2026-08-21 01:06:46 +09:00
mikkeli 4f82c9197b Merge pull request 'Perf/faster analysis' (#2) from perf/faster-analysis into main
Reviewed-on: http://novoyuuparosk.org:1551/mikkeli/uj-mastering-master/pulls/2
2026-06-13 16:57:21 +00:00
31 changed files with 5049 additions and 1128 deletions
+29
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@@ -0,0 +1,29 @@
# Build context hygiene. The image needs the source modules and static/, but
# nothing else — a fat context here means slow builds and a bigger surface for
# accidentally baking in local state (audio, caches, .env, ssh keys).
.git
.gitignore
.venv
__pycache__/
*.pyc
*.pyo
*.egg-info/
build/
dist/
# Tests and tooling are not needed to run the service.
tests/
scripts/
.claude/
.vscode/
.idea/
# Local state that must never enter an image.
*.log
.env
.env.*
fonts/
*.ttf
*.otf
*.ttc
audio_analysis.log
+60
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@@ -109,6 +109,50 @@ A custom mastering toolkit that provides metrics to evaluate audio masterings th
gone with the matplotlib render path. If wanted back, it belongs in the gone with the matplotlib render path. If wanted back, it belongs in the
renderer, applied uniformly to every metric — not per-metric renderer, applied uniformly to every metric — not per-metric
#### `web_session.py`
- Server-side equivalent of `AnalysisResultsManager`, without Qt: owns the
per-track metric cache and the overlay set, and mirrors the desktop's
compute-off-the-request-thread behaviour
- **No audio is stored.** Tracks are keyed by `file_id` = SHA-256 of the audio,
and the session keeps only analysis results and metadata. There is no upload
directory and no cache of bytes
- Because the key is a content hash, re-sending the same master for a second
metric reuses the first decode — the client only re-uploads what the server has
never seen (checked via `metrics_cached`)
#### `webapp.py`
- FastAPI routes + static mount + the `ujm-web` entry point (binds loopback by
default; `--host`/`--port`/`--open` to override)
- Analysis endpoints take the audio as a **raw request body**, not a multipart
upload: spool to a temp file, `SESSION.observe(...)`, unlink in `finally`. The
bytes exist on disk only for the duration of that one request
- `POST /api/analyse` (analyse + plot data), `POST /api/file` (register without
plotting), `DELETE /api/file`, `POST /api/overlay`, `GET /api/plot`,
`GET /api/metadata`, `GET /api/metrics`, `GET /api/session`
#### `metrics_json.py`
- The renderer seam: `PlotSpec`/metric data → JSON, so a non-pyqtgraph renderer
consumes the identical spec (curves, bands, hlines, heatmap, axis specs) that
the desktop widget draws. `hlines` carry the integrated LUFS reference line —
it is not an annotation
#### `static/` (web front end)
- `audio-store.js` — OPFS store. Copies each picked/dropped `File` into Origin
Private File System (browser-sandboxed, not the host's filesystem), hashes it
with WebCrypto in chunks while streaming (never loads a whole master into
memory), and re-sends bytes to the server per metric
- `app.js` — the web renderer, an ES module importing the store. Draws the same
`PlotSpec` the desktop does: uPlot for curves/bands, a plain canvas for the
spectrogram heatmap (a canvas can map rows through an arbitrary function, so it
draws native linear rows and maps them, unlike pyqtgraph's affine-only
`ImageItem`). Mirrors the desktop's per-metric colour cycle, lin/log toggles,
absolute/relative time, and draggable reference lines
- `vendor/` — uPlot 1.6.32 (IIFE + CSS), vendored so nothing is fetched from a
CDN at runtime
- Boot rehydrates: the server still has the last session's analysis, so it
re-offers audio only for metric/track combinations the server reports as
uncached, and reports unavailable combinations rather than faking them
#### `master_core.py` #### `master_core.py`
- Defines the `AudioFile` class: librosa loading, rolling RMS power. BPM detection - Defines the `AudioFile` class: librosa loading, rolling RMS power. BPM detection
was **removed** — `librosa.beat.beat_track` cost ~3.7 s on every load for a was **removed** — `librosa.beat.beat_track` cost ~3.7 s on every load for a
@@ -225,6 +269,7 @@ A custom mastering toolkit that provides metrics to evaluate audio masterings th
- matplotlib: Colormaps only (consumed by pyqtgraph) + librosa dependency - matplotlib: Colormaps only (consumed by pyqtgraph) + librosa dependency
- mutagen: Audio metadata extraction - mutagen: Audio metadata extraction
- PyQt5: GUI framework - PyQt5: GUI framework
- fastapi / uvicorn: web UI (optional extra; the desktop app does not need them)
### Architecture considerations ### Architecture considerations
- Three-stage split: `metrics.compute` (heavy, worker thread, backend-neutral - Three-stage split: `metrics.compute` (heavy, worker thread, backend-neutral
@@ -248,6 +293,21 @@ uv sync # one-time, after cloning
uv run ujm # launch the GUI uv run ujm # launch the GUI
``` ```
### Running the web UI
Branch `feature/web-ui`. Same backend, browser front end.
```bash
uv sync --extra web
uv run ujm-web # http://127.0.0.1:8000
uv run ujm-web --host 0.0.0.0 --port 8080 # reachable from another machine
```
Uploaded audio is held in the browser's Origin Private File System and streamed
to the server per request; the server spools each body to a temp file and unlinks
it before responding. Nothing is written to the host beyond that transient spool.
Verify with `python3 scripts/webapi_smoke.py` against a running server (needs
`ffmpeg` for the fixtures).
Optional flags (handled by `logger_setup.parse_log_args`): Optional flags (handled by `logger_setup.parse_log_args`):
```bash ```bash
uv run ujm --log-level DEBUG # ERROR | WARN | INFO | DEBUG | TRACE uv run ujm --log-level DEBUG # ERROR | WARN | INFO | DEBUG | TRACE
+88
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@@ -0,0 +1,88 @@
# uj-mastering-master — web UI
#
# Multi-stage on purpose: the build stage compiles wheels (librosa pulls in
# scipy, numba and llvmlite, all of which have C extensions), and none of that
# toolchain belongs in the runtime image.
#
# The runtime image installs the *installed package*, not a source tree, so the
# same image works whether you built it from a checkout or a release tarball.
#
# Note on audio: the web UI stores uploaded audio in the browser (OPFS) and
# spools each request body to /tmp only for the duration of that request. There
# is no volume for audio, because the app never keeps any — see README.
#
# Note on the desktop app: this image is the *web* front end only. PyQt5 and
# pyqtgraph are deliberately not installed — there is no display in a container.
# ---- build -----------------------------------------------------------------
FROM python:3.11-slim AS build
ENV PIP_DISABLE_PIP_VERSION_CHECK=1 \
PIP_NO_CACHE_DIR=1 \
UV_LINK_MODE=copy
# numba/llvmlite and scipy need a compiler; libsndfile is what soundfile
# (librosa's decoder) links against at runtime, but the wheel needs it at build
# time to be detected.
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
&& rm -rf /var/lib/apt/lists/*
COPY --from=ghcr.io/astral-sh/uv:0.12.5 /uv /usr/local/bin/uv
WORKDIR /src
# Copy the whole checkout minus .dockerignore. Deliberately not a hand-picked
# file list: `py-modules` in pyproject.toml enumerates every module the build
# backend must find, and a curated COPY that omits any of them fails the build
# with "file <module>.py not found". The exclusions that matter (venv, caches,
# .git, local state) are in .dockerignore, which is the right place for them.
COPY . .
# Build a wheel, then install it into a self-contained prefix to copy forward.
# `"uj-mastering-master[web]"` (not `--extra web`) is the syntax uv wants when
# installing a source tree — `--extra` needs a lockfile/setup.py it does not
# have here and fails with "Requesting extras requires a pylock.toml...".
RUN uv venv /opt/venv \
&& uv pip install --python /opt/venv/bin/python --no-cache \
".[web]"
# ---- runtime ---------------------------------------------------------------
FROM python:3.11-slim AS runtime
# libsndfile1 is the only runtime system dependency: librosa decodes through
# soundfile, which dlopens it. Everything else is a self-contained wheel.
# (FFmpeg is *not* needed — it only ever generated test fixtures.)
RUN apt-get update && apt-get install -y --no-install-recommends \
libsndfile1 \
&& rm -rf /var/lib/apt/lists/*
# Non-root, with a home it can actually write to: librosa/numba want a cache
# dir, and the app spools request bodies under /tmp.
RUN useradd --create-home --uid 10001 --shell /usr/sbin/nologin ujm
COPY --from=build /opt/venv /opt/venv
ENV PATH=/opt/venv/bin:$PATH \
PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
HOME=/home/ujm \
NUMBA_CACHE_DIR=/tmp/numba-cache \
MPLCONFIGDIR=/tmp/matplotlib
# The app's temporary spools land here. Declared so a read-only root filesystem
# can still be used (`read_only: true` + `tmpfs: /tmp` in compose).
VOLUME ["/tmp"]
USER ujm
WORKDIR /home/ujm
EXPOSE 8000
# Baked-in healthcheck: hit the API rather than the page, so it fails when the
# *backend* is broken and not merely when a static asset is missing.
HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \
CMD ["python", "-c", "import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://127.0.0.1:8000/api/metrics', timeout=4).status == 200 else 1)"]
# 0.0.0.0, not the CLI default of 127.0.0.1: loopback inside a container is
# unreachable from the host, which is the whole point of publishing a port.
CMD ["ujm-web", "--host", "0.0.0.0", "--port", "8000", "--log-level", "INFO"]
+201 -674
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@@ -1,674 +1,201 @@
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+126 -15
View File
@@ -20,11 +20,11 @@ Developed with Claude Code assistance.
spectrogram's 22 kHz top, which otherwise falls between decade ticks) spectrogram's 22 kHz top, which otherwise falls between decade ticks)
- **Native sample rate**: audio is loaded without resampling, so the full band - **Native sample rate**: audio is loaded without resampling, so the full band
(up to the file's own nyquist, e.g. ~22 kHz for 44.1 kHz files) is analysed (up to the file's own nyquist, e.g. ~22 kHz for 44.1 kHz files) is analysed
- **BPM detection** via librosa - **CJK-safe font system** with custom fonts loaded from `fonts/` (gitignored) and system fallbacks; the UI is pinned to M PLUS 1 Code @ 10pt
- **CJK-safe font system** with custom fonts loaded from `fonts/` (gitignored), system fallbacks, and a live font selector
- **Background analysis thread** so the UI stays responsive; metric switches - **Background analysis thread** so the UI stays responsive; metric switches
compute off the GUI thread and cache, so re-selecting a metric is instant compute off the GUI thread and cache, so re-selecting a metric is instant
- **Embedded matplotlib canvas** with auto-regenerated plots on font change - **pyqtgraph renderer**: one persistent `PlotItem` reused across replots, with
per-axis zoom modifiers (Ctrl+scroll for time only, Shift+scroll for the value axis)
### Roadmap ### Roadmap
See [CLAUDE.md](CLAUDE.md) for the full development roadmap. Near-term: See [CLAUDE.md](CLAUDE.md) for the full development roadmap. Near-term:
@@ -35,11 +35,16 @@ dynamic range (DR meter), plot-style controls, interactive axis controls.
This project uses [uv](https://docs.astral.sh/uv/). With uv installed: This project uses [uv](https://docs.astral.sh/uv/). With uv installed:
```bash ```bash
uv sync uv sync --extra desktop
uv run ujm uv run ujm
``` ```
`uv run ujm` is the only supported entry point — it boots the GUI. `uv run ujm` boots the desktop GUI (see *Web UI* for the browser front end).
`uv sync` on its own installs only the analysis dependencies (librosa, numpy,
scipy, mutagen, pyloudnorm). The GUI stack — PyQt5, pyqtgraph — is the
`desktop` extra, kept separate because nothing on the web path imports it. Add
`--all-extras` to get both front ends.
### Logging flags ### Logging flags
```bash ```bash
@@ -52,9 +57,112 @@ Drop `.ttf` / `.otf` / `.ttc` files into `fonts/` to get them in the font
selector. The directory is gitignored to avoid bundling licensed font data. selector. The directory is gitignored to avoid bundling licensed font data.
See [CJK_FONTS.md](CJK_FONTS.md) for details. See [CJK_FONTS.md](CJK_FONTS.md) for details.
## Web UI
The same analysis backend with a browser front end, on branch `feature/web-ui`.
No PyQt5, no matplotlib: `metrics.py` was already split into a backend-neutral
`compute` and a view-aware `build_spec`, so the web UI reuses the analysis code
unchanged and reimplements only the drawing.
```bash
uv sync --extra web
uv run ujm-web # http://127.0.0.1:8000
uv run ujm-web --host 0.0.0.0 --port 8080 --open
```
A server install needs no Qt at all, which is also what keeps the container
image small.
Everything the desktop app does works the same way: all seven metrics, the
overlay, lin/log toggles, absolute/relative time, and draggable reference lines
(kept per metric, as on the desktop).
**Uploaded audio is never written to the host.** The browser copies each file
into Origin Private File System — its own sandboxed storage — and streams the
bytes to the server for one request at a time. The server spools each body to a
temp file, decodes, computes, and unlinks it in a `finally` before the response
is sent. There is no upload directory, no cache of audio, and no session state
keyed on a file path: `file_id` is the SHA-256 of the audio, so re-sending the
same master for a second metric reuses the first decode.
Being precise about the guarantee: the bytes do have to reach the server, because
`librosa` decodes from a path and the analysis is CPU-bound numpy/scipy.
*Running this does not accumulate the user's masters on the host* — nothing
persists between requests. It is not a claim that audio is never on the machine
mid-request.
The front end is served entirely from `static/` with uPlot vendored locally, so
nothing is fetched from a CDN, and the server binds loopback by default.
### Deploying with Docker
A `docker compose` template is provided:
```bash
docker compose up --build # build and start
open http://localhost:8000
```
The image is `web` extra only — no Qt, no display server — and runs as an
unprivileged user (uid 10001). It is built multi-stage so the compiler toolchain
that scipy/numba need never reaches the runtime layer; the runtime image installs
the built wheel, so the same image works from a checkout or a release tarball.
What the template assumes, and why:
- **There is no audio volume.** Not an oversight: the app keeps no audio, so
there is nothing to persist. `read_only: true` with a `/tmp` tmpfs means
request spools are memory-backed and never touch a disk at all.
- **Loopback publishing.** The app binds `0.0.0.0` inside the container (the CLI
default of `127.0.0.1` would be unreachable from the host), but compose
publishes `127.0.0.1:8000:8000`. This tool has no authentication, so it should
not appear on the LAN by accident. Change to `"8000:8000"` or put it behind a
reverse proxy to expose it deliberately.
- **CPU limits, not just memory.** Analysis is CPU-bound numpy/scipy, so the BLAS
thread pools are pinned (`OMP_NUM_THREADS` etc.) to stop overlapping requests
from oversubscribing. Raise them if you raise `cpus`.
- `cap_drop: [ALL]` and `no-new-privileges` — nothing in the image needs
capabilities.
For a read-only root filesystem with no writable layer at all, the defaults
already give you that.
### Verifying it
With a server running:
```bash
python3 scripts/make_fixtures.py # synthesise test audio
python3 scripts/webapi_smoke.py # 61 assertions
python3 scripts/webapi_smoke.py http://host:port /path/to/audio
```
`make_fixtures.py` generates the audio the suite needs (`sine440.wav`,
`pinknoise.wav`) with numpy alone, so no network and no ffmpeg are required — a
tagged MP3 is added only if ffmpeg happens to be present, and the tag assertions
skip cleanly when it is not. The suite drives the real HTTP surface with real
audio and checks the contract the browser depends on — payload shapes per
metric, physics cross-checked against an independent `librosa` computation, view
toggles that must not alter data, error paths, and that no spool file survives a
request.
### Web architecture
| Module | Responsibility |
| --- | --- |
| `web_session.py` | Headless analysis session: content-addressed track cache, metric cache, overlay |
| `metrics_json.py` | `PlotSpec` → JSON (the renderer seam; the desktop renderer is the other consumer) |
| `webapp.py` | FastAPI routes, raw-body analysis endpoints, static mount, `ujm-web` entry point |
| `static/audio-store.js` | OPFS audio store, content hashing, streamed upload |
| `static/app.js` | Web renderer: same `PlotSpec` drawn with uPlot + canvas |
## Dependencies ## Dependencies
`librosa`, `numpy`, `matplotlib`, `mutagen`, `pyloudnorm`, `PyQt5` — all pinned Core (always installed): `librosa`, `numpy`, `matplotlib`, `mutagen`,
through `uv.lock`. Python 3.10+. `pyloudnorm` — pinned through `uv.lock`. Python 3.10+.
Optional extras:
- `desktop` — `PyQt5`, `pyqtgraph` (the GUI)
- `web` — `fastapi`, `uvicorn`, `python-multipart` (the browser front end)
## Architecture ## Architecture
@@ -62,18 +170,21 @@ through `uv.lock`. Python 3.10+.
| --- | --- | | --- | --- |
| `main.py` | `MainWindow` + the `ujm` entry point | | `main.py` | `MainWindow` + the `ujm` entry point |
| `analysis_results_manager.py` | Background `QThread` worker, result + metric-data cache | | `analysis_results_manager.py` | Background `QThread` worker, result + metric-data cache |
| `master_core.py` | `AudioFile`: native-rate librosa loading, RMS rolling window, BPM | | `master_core.py` | `AudioFile`: native-rate librosa loading, rolling RMS |
| `metrics.py` | Pluggable `Metric` ABC + registry (RMS, Waveform, LUFS, Crest, PSR, True Peak, Spectrogram) | | `metrics.py` | Pluggable `Metric` ABC + registry (RMS, Waveform, LUFS, Crest, PSR, True Peak, Spectrogram) |
| `audio_visualization_widget.py` | Embedded `FigureCanvasQTAgg` host | | `audio_visualization_widget.py` | pyqtgraph `PlotItem` host; renders `PlotSpec` |
| `font_manager.py` | Custom + system CJK font discovery, matplotlib/Qt config | | `plotspec.py` | Renderer-neutral plot description (`Curve`/`Band`/`HLine`/`Heatmap`) |
| `font_control_widget.py` | Font picker + size slider | | `font_manager.py` | Custom + system CJK font discovery, Qt font config |
| `plot_control_widget.py` | Metric selector + refresh-plot button | | `plot_control_widget.py` | Metric selector, log-frequency toggle, time-axis mode |
| `ref_line_widget.py` | Reference-line control; values kept per metric, in its own units |
| `logger_setup.py` | CLI log-level parsing + custom TRACE level | | `logger_setup.py` | CLI log-level parsing + custom TRACE level |
| `setup_fonts.py` | Diagnostic utility (run standalone) | | `setup_fonts.py` | Diagnostic utility (run standalone) |
### Adding a metric ### Adding a metric
Subclass `Metric` in `metrics.py`, implement `compute(audio_file) -> data` (the Subclass `Metric` in `metrics.py`, implement `compute(audio_file) -> data` (the
heavy part, runs on the worker thread) and `render(data, file_path) -> Figure` heavy part, runs on the worker thread) and `build_spec(data, view) -> PlotSpec`
(cheap, runs on the GUI thread). Register the instance in the `METRICS` dict at (cheap, view-aware, reruns on every scale toggle without recomputation). Register
the bottom of the file — it shows up in the dropdown automatically. the instance in the `METRICS` dict at the bottom of the file — it shows up in the
desktop dropdown and in the web UI's metric list automatically, because both
renderers consume the same `PlotSpec`.
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@@ -1,3 +1,4 @@
# SPDX-License-Identifier: Apache-2.0
""" """
Analysis Results Manager - Bridge between audio processing and GUI. Analysis Results Manager - Bridge between audio processing and GUI.
Manages analysis queue and coordinates between components. Manages analysis queue and coordinates between components.
+1
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@@ -1,3 +1,4 @@
# SPDX-License-Identifier: Apache-2.0
""" """
Interactive visualization widget built on pyqtgraph. Interactive visualization widget built on pyqtgraph.
+88
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@@ -0,0 +1,88 @@
# uj-mastering-master — web UI, container deployment template.
#
# docker compose up --build # build and start
# docker compose logs -f # watch startup
# open http://localhost:8000
#
# There is deliberately no audio volume. Uploaded audio lives in the browser
# (Origin Private File System) and each request body is spooled to /tmp only
# while that request is being decoded. Nothing about a user's masters is
# persisted here — read-only storage is not just possible, it is the intent.
services:
ujm-web:
build:
context: .
dockerfile: Dockerfile
# Pin the build to this branch's source; override to build from a
# release tag instead:
# docker compose build --build-arg ...
image: uj-mastering-master-web:local
container_name: ujm-web
# Loopback-only by default. The app binds 0.0.0.0 *inside* the container,
# but publishing to 127.0.0.1 means it is only reachable from this host —
# an analysis tool with no authentication should not appear on the LAN by
# accident. Change to "8000:8000" (or put it behind a reverse proxy) to
# expose it deliberately.
ports:
- "127.0.0.1:8000:8000"
environment:
# Analysis is CPU-bound numpy/scipy; keep BLAS from oversubscribing when
# several requests overlap. Raise these if you raise `cpus` below.
OMP_NUM_THREADS: "4"
OPENBLAS_NUM_THREADS: "4"
MKL_NUM_THREADS: "4"
NUMEXPR_NUM_THREADS: "4"
# Writable scratch for numba/matplotlib caches and request spools.
NUMBA_CACHE_DIR: /tmp/numba-cache
MPLCONFIGDIR: /tmp/matplotlib
TMPDIR: /tmp
# The container filesystem can be read-only: the app writes nothing it
# needs to keep. /tmp is a tmpfs (memory-backed) so spooled request bodies
# never touch a disk at all.
read_only: true
tmpfs:
- /tmp:size=1g,mode=1777
# Analysis needs headroom: a long master at native sample rate is heavy in
# RAM. Raise the limit for large files; the tmpfs above is also backed by
# memory, so --memory must comfortably exceed it.
deploy:
resources:
limits:
cpus: "4.0"
memory: 4g
# Run as the image's unprivileged user (uid 10001). Nothing here needs root.
security_opt:
- no-new-privileges:true
cap_drop:
- ALL
restart: unless-stopped
stop_grace_period: 10s
# The image ships a HEALTHCHECK; this is the same check expressed at the
# orchestration layer, so `docker compose ps` shows real health.
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://127.0.0.1:8000/api/metrics', timeout=4).status == 200 else 1)"]
interval: 30s
timeout: 5s
start_period: 20s
retries: 3
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
# No volumes are declared, on purpose. If you want to run the API smoke test
# inside the image, do it ad hoc rather than mounting a source tree:
#
# docker compose exec ujm-web python - <<'PY'
# ... # or see `make smoke` in the README
# PY
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@@ -1,3 +1,4 @@
# SPDX-License-Identifier: Apache-2.0
""" """
Font management system with CJK fallback support. Font management system with CJK fallback support.
Handles matplotlib and Qt font configuration with licensing-safe approach. Handles matplotlib and Qt font configuration with licensing-safe approach.
+1
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@@ -1,3 +1,4 @@
# SPDX-License-Identifier: Apache-2.0
""" """
Logging configuration for the Audio Mastering Toolkit. Logging configuration for the Audio Mastering Toolkit.
Provides CLI configurable logging with different verbosity levels. Provides CLI configurable logging with different verbosity levels.
+420 -419
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@@ -1,420 +1,421 @@
import sys # SPDX-License-Identifier: Apache-2.0
import os import sys
import logging import os
from PyQt5.QtWidgets import (QApplication, QMainWindow, QWidget, QVBoxLayout, import logging
QHBoxLayout, QSplitter, QLabel, QListWidget, from PyQt5.QtWidgets import (QApplication, QMainWindow, QWidget, QVBoxLayout,
QTextEdit, QListWidgetItem, QPushButton, QFileDialog) QHBoxLayout, QSplitter, QLabel, QListWidget,
from PyQt5.QtCore import Qt QTextEdit, QListWidgetItem, QPushButton, QFileDialog)
from PyQt5.QtCore import Qt
from audio_visualization_widget import AudioVisualizationWidget, dataset_color
from analysis_results_manager import AnalysisResultsManager from audio_visualization_widget import AudioVisualizationWidget, dataset_color
from logger_setup import setup_logging, parse_log_args from analysis_results_manager import AnalysisResultsManager
from font_manager import initialize_fonts, apply_fixed_font from logger_setup import setup_logging, parse_log_args
from plot_control_widget import PlotControlWidget from font_manager import initialize_fonts, apply_fixed_font
from ref_line_widget import RefLineControlWidget, RefLineDialog from plot_control_widget import PlotControlWidget
from metrics import METRICS from ref_line_widget import RefLineControlWidget, RefLineDialog
from plotspec import RefLineProps, apply_x_mode from metrics import METRICS
from plotspec import RefLineProps, apply_x_mode
class MainWindow(QMainWindow):
"""Main application window with modular audio analysis interface.""" class MainWindow(QMainWindow):
"""Main application window with modular audio analysis interface."""
def __init__(self):
super().__init__() def __init__(self):
self.logger = logging.getLogger(__name__) super().__init__()
self.analysis_manager = AnalysisResultsManager() self.logger = logging.getLogger(__name__)
# Guards programmatic list mutations from triggering re-render storms. self.analysis_manager = AnalysisResultsManager()
self._suppress_list_signals = False # Guards programmatic list mutations from triggering re-render storms.
# Reference lines are kept per metric (a -14 LUFS line means nothing on a self._suppress_list_signals = False
# spectrogram), so they persist when you switch metrics and come back. # Reference lines are kept per metric (a -14 LUFS line means nothing on a
self.ref_lines_by_metric: dict[str, list[RefLineProps]] = {} # spectrogram), so they persist when you switch metrics and come back.
self.initUI() self.ref_lines_by_metric: dict[str, list[RefLineProps]] = {}
self.connect_signals() self.initUI()
self._activate_ref_lines() self.connect_signals()
self._activate_ref_lines()
def initUI(self):
"""Initialize the user interface.""" def initUI(self):
self.setWindowTitle('Audio Mastering Analysis Toolkit') """Initialize the user interface."""
self.setGeometry(100, 100, 1200, 700) self.setWindowTitle('Audio Mastering Analysis Toolkit')
self.setAcceptDrops(True) self.setGeometry(100, 100, 1200, 700)
self.setAcceptDrops(True)
# Create central widget with splitter
central_widget = QWidget() # Create central widget with splitter
self.setCentralWidget(central_widget) central_widget = QWidget()
self.setCentralWidget(central_widget)
# Main horizontal layout
main_layout = QHBoxLayout(central_widget) # Main horizontal layout
splitter = QSplitter(Qt.Horizontal) main_layout = QHBoxLayout(central_widget)
main_layout.addWidget(splitter) splitter = QSplitter(Qt.Horizontal)
main_layout.addWidget(splitter)
# Left panel - File list and metadata
left_panel = self.create_left_panel() # Left panel - File list and metadata
splitter.addWidget(left_panel) left_panel = self.create_left_panel()
splitter.addWidget(left_panel)
# Right panel - Visualization
self.visualization_widget = AudioVisualizationWidget() # Right panel - Visualization
splitter.addWidget(self.visualization_widget) self.visualization_widget = AudioVisualizationWidget()
splitter.addWidget(self.visualization_widget)
# Set splitter proportions
splitter.setSizes([300, 900]) # Left panel narrower than visualization # Set splitter proportions
splitter.setSizes([300, 900]) # Left panel narrower than visualization
def create_left_panel(self):
"""Create the left panel with file list and metadata.""" def create_left_panel(self):
panel = QWidget() """Create the left panel with file list and metadata."""
layout = QVBoxLayout(panel) panel = QWidget()
layout = QVBoxLayout(panel)
# Open File button
self.open_file_button = QPushButton("Open Audio File...") # Open File button
self.open_file_button.clicked.connect(self.open_file_dialog) self.open_file_button = QPushButton("Open Audio File...")
layout.addWidget(self.open_file_button) self.open_file_button.clicked.connect(self.open_file_dialog)
layout.addWidget(self.open_file_button)
# Plot control cluster (metric selector + scale toggle + refresh)
self.plot_control = PlotControlWidget() # Plot control cluster (metric selector + scale toggle + refresh)
self.plot_control.metricChanged.connect(self.on_metric_changed) self.plot_control = PlotControlWidget()
self.plot_control.viewChanged.connect(self.on_view_changed) self.plot_control.metricChanged.connect(self.on_metric_changed)
self.plot_control.plotRefreshRequested.connect(self.on_plot_refresh_requested) self.plot_control.viewChanged.connect(self.on_view_changed)
layout.addWidget(self.plot_control) self.plot_control.plotRefreshRequested.connect(self.on_plot_refresh_requested)
layout.addWidget(self.plot_control)
# Reference-line management cluster (list + add/edit/remove/clear).
self.ref_line_control = RefLineControlWidget() # Reference-line management cluster (list + add/edit/remove/clear).
self.ref_line_control.addRequested.connect(self.on_add_reference_line) self.ref_line_control = RefLineControlWidget()
self.ref_line_control.editRequested.connect(self.on_edit_reference_line) self.ref_line_control.addRequested.connect(self.on_add_reference_line)
self.ref_line_control.removeRequested.connect(self.on_remove_reference_line) self.ref_line_control.editRequested.connect(self.on_edit_reference_line)
self.ref_line_control.clearRequested.connect(self.on_clear_reference_lines) self.ref_line_control.removeRequested.connect(self.on_remove_reference_line)
layout.addWidget(self.ref_line_control) self.ref_line_control.clearRequested.connect(self.on_clear_reference_lines)
layout.addWidget(self.ref_line_control)
# File list. Each item carries a checkbox: the checked set is the overlay
# set drawn on the graph; the highlighted item drives the metadata panel. # File list. Each item carries a checkbox: the checked set is the overlay
self.file_list_label = QLabel("Analyzed Files (tick to overlay):") # set drawn on the graph; the highlighted item drives the metadata panel.
layout.addWidget(self.file_list_label) self.file_list_label = QLabel("Analyzed Files (tick to overlay):")
layout.addWidget(self.file_list_label)
self.file_list = QListWidget()
self.file_list.itemClicked.connect(self.on_file_selected) self.file_list = QListWidget()
self.file_list.itemChanged.connect(self.on_file_check_changed) self.file_list.itemClicked.connect(self.on_file_selected)
layout.addWidget(self.file_list) self.file_list.itemChanged.connect(self.on_file_check_changed)
layout.addWidget(self.file_list)
# Metadata display
self.metadata_label = QLabel("File Information:") # Metadata display
layout.addWidget(self.metadata_label) self.metadata_label = QLabel("File Information:")
layout.addWidget(self.metadata_label)
self.metadata_display = QTextEdit()
self.metadata_display.setReadOnly(True) self.metadata_display = QTextEdit()
self.metadata_display.setMaximumHeight(150) self.metadata_display.setReadOnly(True)
layout.addWidget(self.metadata_display) self.metadata_display.setMaximumHeight(150)
layout.addWidget(self.metadata_display)
# Instructions
instructions = QLabel( # Instructions
"Drag and drop audio files (.mp3, .wav) onto this window to analyze them." instructions = QLabel(
) "Drag and drop audio files (.mp3, .wav) onto this window to analyze them."
instructions.setWordWrap(True) )
instructions.setStyleSheet("color: gray; font-style: italic;") instructions.setWordWrap(True)
layout.addWidget(instructions) instructions.setStyleSheet("color: gray; font-style: italic;")
layout.addWidget(instructions)
return panel
return panel
def connect_signals(self):
"""Connect analysis manager signals to GUI updates.""" def connect_signals(self):
self.analysis_manager.analysisStarted.connect(self.on_analysis_started) """Connect analysis manager signals to GUI updates."""
self.analysis_manager.analysisCompleted.connect(self.on_analysis_completed) self.analysis_manager.analysisStarted.connect(self.on_analysis_started)
self.analysis_manager.analysisError.connect(self.on_analysis_error) self.analysis_manager.analysisCompleted.connect(self.on_analysis_completed)
self.analysis_manager.progressUpdate.connect(self.on_progress_update) self.analysis_manager.analysisError.connect(self.on_analysis_error)
self.analysis_manager.metricComputeStarted.connect(self.on_metric_compute_started) self.analysis_manager.progressUpdate.connect(self.on_progress_update)
self.analysis_manager.metricReady.connect(self.on_metric_ready) self.analysis_manager.metricComputeStarted.connect(self.on_metric_compute_started)
self.analysis_manager.metricComputeError.connect(self.on_metric_compute_error) self.analysis_manager.metricReady.connect(self.on_metric_ready)
self.analysis_manager.metricTiming.connect(self.on_metric_timing) self.analysis_manager.metricComputeError.connect(self.on_metric_compute_error)
self.visualization_widget.referenceLineMoved.connect(self.on_reference_line_moved) self.analysis_manager.metricTiming.connect(self.on_metric_timing)
self.visualization_widget.referenceLineMoved.connect(self.on_reference_line_moved)
def closeEvent(self, event):
"""Stop background analysis/prefetch threads before the window closes.""" def closeEvent(self, event):
self.analysis_manager.shutdown() """Stop background analysis/prefetch threads before the window closes."""
super().closeEvent(event) self.analysis_manager.shutdown()
super().closeEvent(event)
def dragEnterEvent(self, event):
"""Handle drag enter event for file drops.""" def dragEnterEvent(self, event):
if event.mimeData().hasUrls(): """Handle drag enter event for file drops."""
# Check if any files have audio extensions if event.mimeData().hasUrls():
urls = event.mimeData().urls() # Check if any files have audio extensions
for url in urls: urls = event.mimeData().urls()
file_path = url.toLocalFile() for url in urls:
if file_path.lower().endswith(('.mp3', '.wav', '.flac')): file_path = url.toLocalFile()
event.accept() if file_path.lower().endswith(('.mp3', '.wav', '.flac')):
return event.accept()
event.ignore() return
event.ignore()
def dropEvent(self, event):
"""Handle file drop event.""" def dropEvent(self, event):
files = [u.toLocalFile() for u in event.mimeData().urls()] """Handle file drop event."""
audio_files = [f for f in files if f.lower().endswith(('.mp3', '.wav', '.flac'))] files = [u.toLocalFile() for u in event.mimeData().urls()]
audio_files = [f for f in files if f.lower().endswith(('.mp3', '.wav', '.flac'))]
self.logger.info(f"Files dropped: {len(files)} total, {len(audio_files)} audio files")
self.logger.info(f"Files dropped: {len(files)} total, {len(audio_files)} audio files")
if audio_files:
# Analyze the first audio file if audio_files:
# TODO: Add support for multiple file queue # Analyze the first audio file
file_path = audio_files[0] # TODO: Add support for multiple file queue
self.logger.info(f"Starting analysis of dropped file: {os.path.basename(file_path)}") file_path = audio_files[0]
self.analysis_manager.analyze_file(file_path, self.plot_control.current_metric_id()) self.logger.info(f"Starting analysis of dropped file: {os.path.basename(file_path)}")
else: self.analysis_manager.analyze_file(file_path, self.plot_control.current_metric_id())
self.visualization_widget.set_status("No audio files detected in drop") else:
self.logger.warning("No supported audio files found in drop") self.visualization_widget.set_status("No audio files detected in drop")
self.logger.warning("No supported audio files found in drop")
def open_file_dialog(self):
"""Open file dialog to select audio files for analysis.""" def open_file_dialog(self):
file_path, _ = QFileDialog.getOpenFileName( """Open file dialog to select audio files for analysis."""
self, file_path, _ = QFileDialog.getOpenFileName(
"Select Audio File", self,
"", # Default directory (empty = current directory) "Select Audio File",
"Audio Files (*.mp3 *.wav *.flac);;All Files (*)" "", # Default directory (empty = current directory)
) "Audio Files (*.mp3 *.wav *.flac);;All Files (*)"
)
if file_path: # User selected a file (didn't cancel)
self.logger.info(f"File selected via dialog: {os.path.basename(file_path)}") if file_path: # User selected a file (didn't cancel)
self.analysis_manager.analyze_file(file_path, self.plot_control.current_metric_id()) self.logger.info(f"File selected via dialog: {os.path.basename(file_path)}")
self.analysis_manager.analyze_file(file_path, self.plot_control.current_metric_id())
def on_analysis_started(self, file_path):
"""Called when analysis starts.""" def on_analysis_started(self, file_path):
filename = os.path.basename(file_path) """Called when analysis starts."""
self.visualization_widget.set_status(f"Analyzing: {filename}...") filename = os.path.basename(file_path)
self.visualization_widget.set_status(f"Analyzing: {filename}...")
def on_analysis_completed(self, file_path, result):
"""Called when analysis completes successfully.""" def on_analysis_completed(self, file_path, result):
filename = os.path.basename(file_path) """Called when analysis completes successfully."""
filename = os.path.basename(file_path)
# Add to file list (checked, so it joins the overlay set) if not present.
item = self._item_for_path(file_path) # Add to file list (checked, so it joins the overlay set) if not present.
if item is None: item = self._item_for_path(file_path)
self._suppress_list_signals = True if item is None:
item = QListWidgetItem(filename) self._suppress_list_signals = True
item.setData(Qt.UserRole, file_path) # Store full path item = QListWidgetItem(filename)
item.setFlags(item.flags() | Qt.ItemIsUserCheckable) item.setData(Qt.UserRole, file_path) # Store full path
item.setCheckState(Qt.Checked) item.setFlags(item.flags() | Qt.ItemIsUserCheckable)
self.file_list.addItem(item) item.setCheckState(Qt.Checked)
self._suppress_list_signals = False self.file_list.addItem(item)
self._suppress_list_signals = False
# Update metadata display and highlight the analyzed file.
self.metadata_display.setText(self.analysis_manager.get_metadata_text(file_path)) # Update metadata display and highlight the analyzed file.
self.file_list.setCurrentItem(item) self.metadata_display.setText(self.analysis_manager.get_metadata_text(file_path))
self.file_list.setCurrentItem(item)
# Redraw the overlay set for the current metric.
self._refresh_view() # Redraw the overlay set for the current metric.
self._refresh_view()
def on_analysis_error(self, file_path, error_message):
"""Called when analysis fails.""" def on_analysis_error(self, file_path, error_message):
filename = os.path.basename(file_path) """Called when analysis fails."""
self.logger.error(f"Analysis failed for {filename}: {error_message}") filename = os.path.basename(file_path)
self.visualization_widget.set_status(f"Error analyzing {filename}: {error_message}") self.logger.error(f"Analysis failed for {filename}: {error_message}")
self.visualization_widget.set_status(f"Error analyzing {filename}: {error_message}")
def on_progress_update(self, message, percentage):
"""Called when analysis progress updates. def on_progress_update(self, message, percentage):
"""Called when analysis progress updates.
The messages already carry phase + timing; the percentage was a coarse
fake (load jumped 10->done), so it's logged but not shown in the slip. The messages already carry phase + timing; the percentage was a coarse
""" fake (load jumped 10->done), so it's logged but not shown in the slip.
self.logger.debug(f"Progress: {message} ({percentage}%)") """
self.visualization_widget.set_status(message) self.logger.debug(f"Progress: {message} ({percentage}%)")
self.visualization_widget.set_status(message)
def on_file_selected(self, item):
"""Called when a file is highlighted (drives the metadata panel only).""" def on_file_selected(self, item):
file_path = item.data(Qt.UserRole) """Called when a file is highlighted (drives the metadata panel only)."""
self.metadata_display.setText(self.analysis_manager.get_metadata_text(file_path)) file_path = item.data(Qt.UserRole)
self.metadata_display.setText(self.analysis_manager.get_metadata_text(file_path))
def on_file_check_changed(self, _item):
"""A checkbox toggled — the overlay set changed; redraw.""" def on_file_check_changed(self, _item):
if self._suppress_list_signals: """A checkbox toggled — the overlay set changed; redraw."""
return if self._suppress_list_signals:
self._refresh_view() return
self._refresh_view()
def on_metric_changed(self, metric_id: str):
"""Called when the metric selector changes.""" def on_metric_changed(self, metric_id: str):
self.logger.info(f"Metric changed via GUI: {metric_id}") """Called when the metric selector changes."""
# Reference lines are kept per metric, so swap in this metric's set rather self.logger.info(f"Metric changed via GUI: {metric_id}")
# than discarding — switch away and back and your lines are still there. # Reference lines are kept per metric, so swap in this metric's set rather
self._activate_ref_lines() # than discarding — switch away and back and your lines are still there.
self._refresh_view() self._activate_ref_lines()
self._refresh_view()
def on_add_reference_line(self):
"""Add a reference line at the current view centre, then edit it.""" def on_add_reference_line(self):
value = self.visualization_widget.current_view_center_value() """Add a reference line at the current view centre, then edit it."""
props = RefLineProps(value=round(value, 2)) value = self.visualization_widget.current_view_center_value()
self.ref_lines.append(props) props = RefLineProps(value=round(value, 2))
self._sync_ref_lines() self.ref_lines.append(props)
# Open the editor immediately so colour/tag/value can be set right away. self._sync_ref_lines()
self.on_edit_reference_line(len(self.ref_lines) - 1) # Open the editor immediately so colour/tag/value can be set right away.
self.on_edit_reference_line(len(self.ref_lines) - 1)
def on_edit_reference_line(self, index: int):
"""Open the properties dialog for a reference line.""" def on_edit_reference_line(self, index: int):
if not (0 <= index < len(self.ref_lines)): """Open the properties dialog for a reference line."""
return if not (0 <= index < len(self.ref_lines)):
dialog = RefLineDialog(self, self.ref_lines[index], value_units=self._ref_value_units()) return
if dialog.exec_(): dialog = RefLineDialog(self, self.ref_lines[index], value_units=self._ref_value_units())
self.ref_lines[index] = dialog.result_props() if dialog.exec_():
self._sync_ref_lines() self.ref_lines[index] = dialog.result_props()
self._sync_ref_lines()
def on_remove_reference_line(self, index: int):
"""Delete a reference line.""" def on_remove_reference_line(self, index: int):
if 0 <= index < len(self.ref_lines): """Delete a reference line."""
del self.ref_lines[index] if 0 <= index < len(self.ref_lines):
self._sync_ref_lines() del self.ref_lines[index]
self._sync_ref_lines()
def on_clear_reference_lines(self):
"""Remove all custom reference lines for the current metric.""" def on_clear_reference_lines(self):
self.ref_lines.clear() """Remove all custom reference lines for the current metric."""
self._sync_ref_lines() self.ref_lines.clear()
self._sync_ref_lines()
def on_reference_line_moved(self, index: int):
"""A line was dragged on the plot — its value is already updated; refresh list.""" def on_reference_line_moved(self, index: int):
self.ref_line_control.set_lines(self.ref_lines) """A line was dragged on the plot — its value is already updated; refresh list."""
self.ref_line_control.set_lines(self.ref_lines)
def _activate_ref_lines(self):
"""Point `self.ref_lines` at the current metric's set and sync the UI.""" def _activate_ref_lines(self):
metric_id = self.plot_control.current_metric_id() """Point `self.ref_lines` at the current metric's set and sync the UI."""
self.ref_lines = self.ref_lines_by_metric.setdefault(metric_id, []) metric_id = self.plot_control.current_metric_id()
self._sync_ref_lines() self.ref_lines = self.ref_lines_by_metric.setdefault(metric_id, [])
self._sync_ref_lines()
def _ref_value_units(self) -> str:
"""Units a reference line's value is expressed in for the current metric.""" def _ref_value_units(self) -> str:
return "Hz" if self.plot_control.current_metric_id() == "spectrogram" else "" """Units a reference line's value is expressed in for the current metric."""
return "Hz" if self.plot_control.current_metric_id() == "spectrogram" else ""
def _sync_ref_lines(self):
"""Push the current reference-line set to both the list view and the plot.""" def _sync_ref_lines(self):
self.ref_line_control.set_lines(self.ref_lines) """Push the current reference-line set to both the list view and the plot."""
self.visualization_widget.set_reference_lines(self.ref_lines) self.ref_line_control.set_lines(self.ref_lines)
self.visualization_widget.set_reference_lines(self.ref_lines)
def on_view_changed(self):
"""Called when a view-scale toggle (lin/log) changes. Recompute-free redraw.""" def on_view_changed(self):
self.logger.info("View scale changed via GUI") """Called when a view-scale toggle (lin/log) changes. Recompute-free redraw."""
self._refresh_view() self.logger.info("View scale changed via GUI")
self._refresh_view()
def on_plot_refresh_requested(self):
"""Called when manual plot refresh is requested.""" def on_plot_refresh_requested(self):
self.logger.info("Manual plot refresh requested via GUI") """Called when manual plot refresh is requested."""
self._refresh_view() self.logger.info("Manual plot refresh requested via GUI")
self._refresh_view()
def on_metric_compute_started(self, file_path: str, metric_id: str):
"""Called when an off-thread metric compute starts.""" def on_metric_compute_started(self, file_path: str, metric_id: str):
if file_path not in self._overlay_paths(): """Called when an off-thread metric compute starts."""
return # not in the drawn set; status bar shouldn't lie if file_path not in self._overlay_paths():
metric = METRICS.get(metric_id) return # not in the drawn set; status bar shouldn't lie
display = metric.display_name if metric else metric_id metric = METRICS.get(metric_id)
self.visualization_widget.set_status(f"Computing {display}...") display = metric.display_name if metric else metric_id
self.visualization_widget.set_status(f"Computing {display}...")
def on_metric_ready(self, file_path: str, metric_id: str):
"""Called when metric data is available (cached hit or async finish).""" def on_metric_ready(self, file_path: str, metric_id: str):
if metric_id != self.plot_control.current_metric_id(): """Called when metric data is available (cached hit or async finish)."""
return # user already switched to a different metric if metric_id != self.plot_control.current_metric_id():
if file_path not in self._overlay_paths(): return # user already switched to a different metric
return # no longer part of the overlay set if file_path not in self._overlay_paths():
self._refresh_view() return # no longer part of the overlay set
self._refresh_view()
def on_metric_timing(self, file_path: str, metric_id: str, seconds: float):
"""An on-demand metric compute finished — report how long it took.""" def on_metric_timing(self, file_path: str, metric_id: str, seconds: float):
if file_path not in self._overlay_paths(): """An on-demand metric compute finished — report how long it took."""
return if file_path not in self._overlay_paths():
if metric_id != self.plot_control.current_metric_id(): return
return if metric_id != self.plot_control.current_metric_id():
metric = METRICS.get(metric_id) return
display = metric.display_name if metric else metric_id metric = METRICS.get(metric_id)
self.visualization_widget.set_status(f"{display} computed in {seconds:.1f}s") display = metric.display_name if metric else metric_id
self.visualization_widget.set_status(f"{display} computed in {seconds:.1f}s")
def on_metric_compute_error(self, file_path: str, metric_id: str, error_message: str):
self.logger.error(f"Metric compute failed ({metric_id} / {os.path.basename(file_path)}): {error_message}") def on_metric_compute_error(self, file_path: str, metric_id: str, error_message: str):
if file_path in self._overlay_paths(): self.logger.error(f"Metric compute failed ({metric_id} / {os.path.basename(file_path)}): {error_message}")
self.visualization_widget.set_status(f"Error computing {metric_id}: {error_message}") if file_path in self._overlay_paths():
self.visualization_widget.set_status(f"Error computing {metric_id}: {error_message}")
def _current_file_path(self):
item = self.file_list.currentItem() def _current_file_path(self):
return item.data(Qt.UserRole) if item else None item = self.file_list.currentItem()
return item.data(Qt.UserRole) if item else None
def _item_for_path(self, file_path):
for i in range(self.file_list.count()): def _item_for_path(self, file_path):
item = self.file_list.item(i) for i in range(self.file_list.count()):
if item.data(Qt.UserRole) == file_path: item = self.file_list.item(i)
return item if item.data(Qt.UserRole) == file_path:
return None return item
return None
def _row_index(self, file_path) -> int:
for i in range(self.file_list.count()): def _row_index(self, file_path) -> int:
if self.file_list.item(i).data(Qt.UserRole) == file_path: for i in range(self.file_list.count()):
return i if self.file_list.item(i).data(Qt.UserRole) == file_path:
return 0 return i
return 0
def _overlay_paths(self):
"""File paths whose checkbox is ticked — the set drawn on the graph.""" def _overlay_paths(self):
return [ """File paths whose checkbox is ticked — the set drawn on the graph."""
self.file_list.item(i).data(Qt.UserRole) return [
for i in range(self.file_list.count()) self.file_list.item(i).data(Qt.UserRole)
if self.file_list.item(i).checkState() == Qt.Checked for i in range(self.file_list.count())
] if self.file_list.item(i).checkState() == Qt.Checked
]
def _refresh_view(self):
"""Redraw the checked overlay set for the current metric and view-state. def _refresh_view(self):
"""Redraw the checked overlay set for the current metric and view-state.
Renders every dataset whose data is cached; for any that isn't, kicks off
an async compute (or a full load if the file was never analysed) and Renders every dataset whose data is cached; for any that isn't, kicks off
leaves a status note. `on_metric_ready` calls back here when each lands. an async compute (or a full load if the file was never analysed) and
""" leaves a status note. `on_metric_ready` calls back here when each lands.
paths = self._overlay_paths() """
metric_id = self.plot_control.current_metric_id() paths = self._overlay_paths()
view = self.plot_control.current_view_state() metric_id = self.plot_control.current_metric_id()
metric = METRICS.get(metric_id) view = self.plot_control.current_view_state()
if not paths or metric is None: metric = METRICS.get(metric_id)
self.visualization_widget.show_specs([]) if not paths or metric is None:
return self.visualization_widget.show_specs([])
return
specs = []
pending = 0 specs = []
for path in paths: pending = 0
data = self.analysis_manager.get_metric_data(path, metric_id) for path in paths:
if data is None: data = self.analysis_manager.get_metric_data(path, metric_id)
if self.analysis_manager.is_file_analyzed(path): if data is None:
self.analysis_manager.request_metric(path, metric_id) if self.analysis_manager.is_file_analyzed(path):
else: self.analysis_manager.request_metric(path, metric_id)
self.analysis_manager.analyze_file(path, metric_id) else:
pending += 1 self.analysis_manager.analyze_file(path, metric_id)
continue pending += 1
label = self.analysis_manager.display_label(path) continue
# Colour is keyed to the file's row, not its position in the overlay label = self.analysis_manager.display_label(path)
# subset, so a song keeps its colour as others are ticked/unticked. # Colour is keyed to the file's row, not its position in the overlay
color = dataset_color(self._row_index(path)) # subset, so a song keeps its colour as others are ticked/unticked.
spec = apply_x_mode(metric.build_spec(data, view), view.x_mode) color = dataset_color(self._row_index(path))
specs.append((label, spec, color)) spec = apply_x_mode(metric.build_spec(data, view), view.x_mode)
specs.append((label, spec, color))
if specs:
self.visualization_widget.show_specs(specs, view) if specs:
if pending: self.visualization_widget.show_specs(specs, view)
self.visualization_widget.set_status( if pending:
f"Computing {metric.display_name} for {pending} file(s)..." self.visualization_widget.set_status(
) f"Computing {metric.display_name} for {pending} file(s)..."
)
def main():
# Parse logging arguments before creating QApplication def main():
log_level, log_to_file = parse_log_args() # Parse logging arguments before creating QApplication
log_level, log_to_file = parse_log_args()
# Initialize logging
logger = setup_logging(log_level, log_to_file) # Initialize logging
logger.info("Starting Audio Mastering Analysis Toolkit") logger = setup_logging(log_level, log_to_file)
logger.info(f"Command line args: log-level={log_level}, log-file={log_to_file}") logger.info("Starting Audio Mastering Analysis Toolkit")
logger.info(f"Command line args: log-level={log_level}, log-file={log_to_file}")
app = QApplication(sys.argv)
app = QApplication(sys.argv)
# Initialize font system (loads any fonts/ files, configures fallbacks) then
# lock the UI font. M PLUS 1 Code has full Japanese coverage, so this stays # Initialize font system (loads any fonts/ files, configures fallbacks) then
# CJK-safe; falls back to the system default if the family isn't present. # lock the UI font. M PLUS 1 Code has full Japanese coverage, so this stays
initialize_fonts() # CJK-safe; falls back to the system default if the family isn't present.
chosen = apply_fixed_font("M PLUS 1 Code", 10) initialize_fonts()
logger.info(f"UI font locked to '{chosen}' at 10pt") chosen = apply_fixed_font("M PLUS 1 Code", 10)
logger.info(f"UI font locked to '{chosen}' at 10pt")
# Set application style
app.setStyle('Fusion') # Modern cross-platform style # Set application style
logger.debug("Application style set to Fusion") app.setStyle('Fusion') # Modern cross-platform style
logger.debug("Application style set to Fusion")
window = MainWindow()
window.show() window = MainWindow()
logger.info("GUI window displayed") window.show()
logger.info("GUI window displayed")
sys.exit(app.exec_())
sys.exit(app.exec_())
if __name__ == '__main__':
if __name__ == '__main__':
main() main()
+8 -1
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@@ -1,3 +1,4 @@
# SPDX-License-Identifier: Apache-2.0
import os import os
import librosa import librosa
@@ -6,7 +7,13 @@ import numpy as np
from mutagen.mp3 import MP3 from mutagen.mp3 import MP3
from mutagen.easyid3 import EasyID3 from mutagen.easyid3 import EasyID3
from font_manager import safe_title
def safe_title(title):
# Deliberately not font_manager.safe_title: that module imports PyQt5 at load
# time, and master_core is on the Qt-free web path (the `web` extra has no Qt).
if not title:
return title
return title.encode('utf-8', errors='replace').decode('utf-8')
def _try_mp3_tags(file_path): def _try_mp3_tags(file_path):
+1
View File
@@ -1,3 +1,4 @@
# SPDX-License-Identifier: Apache-2.0
""" """
Pluggable analysis metrics. Pluggable analysis metrics.
+170
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@@ -0,0 +1,170 @@
# SPDX-License-Identifier: Apache-2.0
"""
PlotSpec -> JSON.
The desktop renderer (`audio_visualization_widget`) draws a `PlotSpec` with
pyqtgraph. The web renderer draws the *same* `PlotSpec` with a browser plotting
library, so the only thing this module owns is the wire format between them:
numpy arrays become plain lists, `NaN`/`inf` (gated PSR, empty windows) become
JSON `null` so the client can break the line instead of drawing a spike.
Nothing here is web-framework-specific — `serialize_spec` is the exact partner of
`show_specs`: same input, different canvas. Keeping it free of FastAPI imports
means the desktop side could adopt it unchanged if a future client ever needed
the same payload.
Why the heatmap is sent losslessly: the desktop renderer resamples the linear STFT
rows onto a log-spaced grid for a log frequency axis (pyqtgraph's ImageItem is
affine-only and won't follow a log axis). The browser *can* draw a non-linear
axis from a linearly spaced image, so no resampling happens here — the client gets
the native rows plus the axis-extent information and does the mapping itself.
That keeps warm-up cost identical to the desktop app and makes the expensive
log-grid interpolation happen once per view change rather than once per request.
"""
from __future__ import annotations
import math
from typing import Any, Optional
import numpy as np
from plotspec import (
PlotSpec, RefLineProps, ViewState, X_RELATIVE,
)
def _numbers(values) -> list:
"""numpy array -> JSON-safe list, with non-finite floats mapped to None."""
if values is None:
return []
arr = np.asarray(values, dtype=float).ravel()
out: list[Optional[float]] = []
for v in arr.tolist():
out.append(None if (v is None or not math.isfinite(v)) else float(v))
return out
def _ints(values) -> list[float]:
"""numpy array -> JSON-safe list of floats (no None mapping — index axes)."""
return [float(v) for v in np.asarray(values, dtype=float).ravel().tolist()]
def _bounds(values) -> Optional[list[float]]:
"""[min, max] of the finite values, or None when everything is non-finite."""
if values is None:
return None
arr = np.asarray(values, dtype=float).ravel()
arr = arr[np.isfinite(arr)]
if not arr.size:
return None
return [float(arr.min()), float(arr.max())]
def _serialize_axes(axes) -> dict[str, Any]:
return {
"x_label": axes.x_label,
"y_label": axes.y_label,
"y_log": bool(axes.y_log),
"x_log": bool(axes.x_log),
"y_range": list(axes.y_range) if axes.y_range else None,
"x_range": list(axes.x_range) if axes.x_range else None,
"y_log_allowed": bool(axes.y_log_allowed),
"x_log_allowed": bool(axes.x_log_allowed),
}
def _serialize_heatmap(hm) -> dict[str, Any]:
y = np.asarray(hm.y, dtype=float)
z = np.asarray(hm.z, dtype=np.float32)
return {
"x": _numbers(hm.x),
"y": _numbers(y),
"z": [[float(v) for v in row] for row in z.tolist()],
"z_min": float(hm.z_min),
"z_max": float(hm.z_max),
"cmap": hm.cmap,
"label": hm.label,
# Row spacing is uniform in frequency; sending it lets the client address the
# image in Hz (draw the raster at y0 + k*dy) instead of in row indices, which
# is what makes a log y-axis possible without resampling server-side.
"y0": float(y[0]) if y.size else 0.0,
"dy": float(y[1] - y[0]) if y.size > 1 else 1.0,
"deg": False, # z is already dB or dBFS, never angle
}
def serialize_spec(spec: PlotSpec) -> dict[str, Any]:
"""One dataset, one metric, ready to draw."""
payload = {
"title": spec.title,
"axes": _serialize_axes(spec.axes),
"hlines": [
{
"y": float(hl.y),
"label": hl.label,
"color": hl.color,
"style": hl.style,
"width": float(hl.width),
}
for hl in spec.hlines
],
"annotations": list(spec.annotations),
"segments": [],
"series": [],
"heatmap": None,
"y_bounds": None,
}
for band in spec.bands:
lo = np.broadcast_to(np.asarray(band.lo, dtype=float), np.asarray(band.x).shape)
payload["segments"].append({
"kind": "band",
"x": _numbers(band.x),
"lo": _numbers(lo),
"hi": _numbers(band.hi),
"label": band.label,
"color": band.color,
})
for curve in spec.curves:
payload["series"].append({
"kind": "line",
"x": _numbers(curve.x),
"y": _numbers(curve.y),
"label": curve.label,
"width": float(curve.width),
"color": curve.color,
})
if spec.heatmap is not None:
payload["heatmap"] = _serialize_heatmap(spec.heatmap)
# Value range the browser should frame to, before any user zoom. For bands the
# envelope is lo..hi, not just hi — RMS fills from zero, waveform spans ±peak.
values = [np.asarray(c.y, dtype=float) for c in spec.curves]
for band in spec.bands:
values.append(np.asarray(band.lo, dtype=float))
values.append(np.asarray(band.hi, dtype=float))
if not spec.axes.y_range:
finite = [v[np.isfinite(v)] for v in values]
finite = [v for v in finite if v.size]
if finite:
payload["y_bounds"] = [float(min(v.min() for v in finite)),
float(max(v.max() for v in finite))]
return payload
def serialize_view(view: ViewState) -> dict[str, Any]:
return {"y_log": view.y_log, "x_log": view.x_log, "x_mode": view.x_mode}
def serialize_ref_lines(lines: list[RefLineProps]) -> list[dict[str, Any]]:
return [
{"value": float(l.value), "color": l.color, "style": l.style, "label": l.label}
for l in lines
]
def relative_x_mode(view: ViewState) -> bool:
return view.x_mode == X_RELATIVE
+1
View File
@@ -1,3 +1,4 @@
# SPDX-License-Identifier: Apache-2.0
""" """
Plot control widget: pick the metric, set axis scale/mode, refresh the plot. Plot control widget: pick the metric, set axis scale/mode, refresh the plot.
+1
View File
@@ -1,3 +1,4 @@
# SPDX-License-Identifier: Apache-2.0
""" """
Backend-agnostic plot descriptors. Backend-agnostic plot descriptors.
+60 -1
View File
@@ -6,12 +6,27 @@ build-backend = "setuptools.build_meta"
name = "uj-mastering-master" name = "uj-mastering-master"
version = "0.1.0" version = "0.1.0"
requires-python = ">=3.10" requires-python = ">=3.10"
# Only what the *analysis* needs. The GUI stack lives in the `desktop` extra
# below, because nothing on the web path touches it: `webapp.py`,
# `web_session.py`, `metrics_json.py`, `master_core.py`, `metrics.py` and
# `plotspec.py` import no Qt, no pyqtgraph and no matplotlib canvas. Keeping
# PyQt5 here would force a `--headless`-style install to drag in a full Qt
# stack it never loads.
dependencies = [ dependencies = [
"librosa", "librosa",
"numpy", "numpy",
"matplotlib", "matplotlib", # librosa dependency, and colormaps for the colormap helper
"mutagen", "mutagen",
"pyloudnorm", "pyloudnorm",
]
license = {text = "Apache-2.0"}
[project.optional-dependencies]
# Desktop GUI. Installed with:
# uv sync --extra desktop (or `uv sync --all-extras`)
desktop = [
"PyQt5>=5.15.10", "PyQt5>=5.15.10",
# 5.15.2 is the only pyqt5-qt5 release with a Windows wheel; later # 5.15.2 is the only pyqt5-qt5 release with a Windows wheel; later
# versions are Linux/macOS only. # versions are Linux/macOS only.
@@ -19,8 +34,30 @@ dependencies = [
"pyqtgraph>=0.14.0", "pyqtgraph>=0.14.0",
] ]
# Web front end. Installed with:
# uv sync --extra web
# Deliberately separate from the desktop path: a server install of the web UI
# needs no Qt/wheel stack. Which is what makes the container image small and
# lets it run without a display server at all.
web = [
"fastapi>=0.110",
"uvicorn[standard]>=0.27",
"python-multipart>=0.0.9", # multipart upload parsing for FastAPI
]
[tool.uv]
# Note: `default-groups` cannot name an entry from `[project.optional-dependencies]`
# — it only accepts `[dependency-groups]` names, and errors with "Default group
# `desktop` ... is not defined in the project's `dependency-groups` table".
# Extras must be requested explicitly, which is why the README spells out both:
# uv sync # analysis + nothing else
# uv sync --extra desktop # + Qt/pyqtgraph (the GUI; `uv run ujm`)
# uv sync --extra web # + fastapi/uvicorn (`uv run ujm-web`)
# uv sync --all-extras # both
[project.scripts] [project.scripts]
ujm = "main:main" ujm = "main:main"
ujm-web = "webapp:main"
[tool.setuptools] [tool.setuptools]
py-modules = [ py-modules = [
@@ -35,4 +72,26 @@ py-modules = [
"ref_line_widget", "ref_line_widget",
"logger_setup", "logger_setup",
"setup_fonts", "setup_fonts",
# web front end
"webapp",
"web_session",
"metrics_json",
] ]
# `static/` is declared a *package* so `package-data` has something to attach
# to. `package-data` keys match packages, and top-level `py-modules` are not
# packages — so the earlier `"*" = [...]` form silently matched nothing and the
# built wheel contained no assets at all (verified: 14 .py files, zero HTML/
# JS/CSS). An installed `ujm-web` therefore 404'd every asset. With this entry
# the assets install to `site-packages/static/`, which is exactly where
# `webapp.py` looks (`Path(__file__).parent / "static"`).
packages = ["static"]
[tool.setuptools.package-data]
# Vendored browser assets: uPlot (curves), no CDN at runtime. Keyed on the
# `static` package (declared above) rather than `"*"`: a `"*"` key matches
# *packages*, and there are none besides `static` — the app modules are
# top-level `py-modules`, which is why the original form shipped nothing.
#
# `**/*` rather than `*` so the glob reaches `static/vendor/`, where the uPlot
# bundle lives.
static = ["*", "**/*"]
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# SPDX-License-Identifier: Apache-2.0
""" """
Reference-line management: a side-panel list of custom horizontal markers plus a Reference-line management: a side-panel list of custom horizontal markers plus a
properties dialog. properties dialog.
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#!/usr/bin/env python3
"""Generate the audio fixtures `webapi_smoke.py` expects.
Synthesised rather than downloaded so the smoke test has no network dependency
and no external tools — `soundfile` and `numpy` come in with `librosa`, so this
runs in the container image as-is (no ffmpeg needed).
sine440.wav 12 s, 440 Hz, stereo, -12 dBFS — a known-tone reference
pinknoise.wav 8 s, pink noise, stereo — broadband, exercises the STFT
tagged.mp3 a tagged file — only if ffmpeg is available
Usage: python3 scripts/make_fixtures.py [output_dir] (default /tmp/ujm-test)
"""
from __future__ import annotations
import shutil
import subprocess
import sys
from pathlib import Path
import numpy as np
import soundfile as sf
SR = 44100
def sine(path: Path, seconds: float = 12.0, hz: float = 440.0,
dbfs: float = -12.0) -> None:
"""A tone at a known level. Peak is exactly 10**(dbfs/20) before encoding."""
t = np.arange(int(seconds * SR)) / SR
mono = (10 ** (dbfs / 20)) * np.sin(2 * np.pi * hz * t)
sf.write(path, np.stack([mono, mono], axis=1), SR, subtype="PCM_16")
def pink(path: Path, seconds: float = 8.0, peak: float = 0.25) -> None:
"""Pink noise via 1/sqrt(f) shaping, normalised to a known peak."""
rng = np.random.default_rng(7)
n = int(seconds * SR)
spectrum = np.fft.rfft(rng.standard_normal(n))
freqs = np.fft.rfftfreq(n, 1 / SR)
freqs[0] = freqs[1] # avoid dividing by zero at DC
shaped = np.fft.irfft(spectrum / np.sqrt(freqs), n)
mono = peak * shaped / np.max(np.abs(shaped))
sf.write(path, np.stack([mono, mono], axis=1), SR, subtype="PCM_16")
def tagged_mp3(path: Path) -> bool:
"""An MP3 with ID3 tags, so the tag-reading path is exercised.
Genuinely optional: MP3 encoding is the one thing numpy cannot do, so this
needs ffmpeg and is skipped when it is absent. The suite's tag assertions
adapt — see `webapi_smoke.py`.
"""
if shutil.which("ffmpeg") is None:
return False
subprocess.run(
["ffmpeg", "-y", "-loglevel", "error",
"-f", "lavfi", "-i", "sine=frequency=330:duration=6:sample_rate=44100",
"-metadata", "artist=Test Artist", "-metadata", "title=Test Title",
"-codec:a", "libmp3lame", "-q:a", "2", str(path)],
check=True,
)
return True
def main() -> int:
out = Path(sys.argv[1] if len(sys.argv) > 1 else "/tmp/ujm-test")
out.mkdir(parents=True, exist_ok=True)
sine(out / "sine440.wav")
pink(out / "pinknoise.wav")
mp3 = tagged_mp3(out / "テスト.mp3")
for f in sorted(out.iterdir()):
print(f" {f.name} {f.stat().st_size / 1024:.0f} KiB")
if not mp3:
print("\nnote: no ffmpeg, so no tagged MP3 fixture was written "
"(tag assertions will be skipped)")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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#!/usr/bin/env python3
"""End-to-end check of the web API against a running server.
Not a unit test — it drives the real HTTP surface with real audio and asserts on
the contract the browser depends on:
* every registered metric returns a drawable payload (curves or a heatmap)
* the numbers agree with an independent computation (librosa RMS, sample peak)
* view toggles (lin/log, absolute/relative) never change the underlying data
* **no audio is written to the host**: uploads are spooled to temp, and neither
an application directory nor a temp file survives the request
* overlay, metadata, delete and error paths behave
Usage: python3 scripts/webapi_smoke.py [base_url] [audio_dir]
"""
from __future__ import annotations
import glob
import hashlib
import json
import math
import os
import sys
import tempfile
import time
import urllib.error
import urllib.parse
import urllib.request
from pathlib import Path
BASE = sys.argv[1] if len(sys.argv) > 1 else "http://127.0.0.1:8137"
AUDIO = Path(sys.argv[2] if len(sys.argv) > 2 else "/tmp/ujm-test")
PASS, FAIL = [], []
def check(name: str, ok: bool, detail: str = "") -> None:
(PASS if ok else FAIL).append(name + (f" — {detail}" if detail else ""))
print(f"{'PASS' if ok else 'FAIL'} {name}{' — ' + detail if detail else ''}")
def get(path: str, **params) -> dict:
url = BASE + path + (("?" + urllib.parse.urlencode(params)) if params else "")
with urllib.request.urlopen(url, timeout=600) as res:
return json.loads(res.read())
def post(path: str, payload=None, **params) -> dict:
url = BASE + path + (("?" + urllib.parse.urlencode(params)) if params else "")
data = json.dumps(payload).encode() if payload is not None else b""
req = urllib.request.Request(url, data=data, method="POST",
headers={"Content-Type": "application/json"})
with urllib.request.urlopen(req, timeout=600) as res:
return json.loads(res.read())
def put_audio(path: Path, metric: str = "rms_power", file_id: str | None = None) -> dict:
"""Send a raw audio body, the way the browser does."""
data = path.read_bytes()
qs = {"name": path.name, "metric": metric}
if file_id:
qs["file_id"] = file_id
req = urllib.request.Request(
f"{BASE}/api/analyse?" + urllib.parse.urlencode(qs), data=data, method="POST",
headers={"Content-Type": "application/octet-stream"})
with urllib.request.urlopen(req, timeout=900) as res:
return json.loads(res.read())
def expect_http_error(fn, code: int, name: str) -> None:
try:
fn()
except urllib.error.HTTPError as exc:
check(name, exc.code == code, f"HTTP {exc.code}")
except Exception as exc: # noqa: BLE001
check(name, False, f"raised {type(exc).__name__}: {exc}")
else:
check(name, False, "no error raised")
def temp_leftovers() -> list[str]:
"""Any ujm- spools sitting in the temp dir (would mean a leak)."""
return glob.glob(os.path.join(tempfile.gettempdir(), "ujm-*"))
def main() -> int:
files = sorted(AUDIO.glob("*.wav")) + sorted(AUDIO.glob("*.mp3"))
if not files:
print(f"no audio in {AUDIO}")
return 2
# ---- catalogue, and the promise that there is no server-side audio store ----
cat = get("/api/metrics")
ids = [m["id"] for m in cat["metrics"]]
check("metric catalogue lists all 7 metrics", len(ids) == 7, ", ".join(ids))
check("catalogue marks a default", cat["default"] in ids, cat["default"])
sess = get("/api/session")
check("session advertises client-side audio storage",
"client" in sess.get("audio_storage", ""), sess.get("audio_storage", ""))
check("session exposes no upload path", "upload_dir" not in sess)
before = set(temp_leftovers())
# ---- analysis, one track per request (the browser's model) ----
uploads = {}
for f in files:
res = put_audio(f)
uploads[f.name] = res
check(f"analyse {f.name} returns a drawable payload",
bool(res["payload"]["series"] or res["payload"]["segments"]
or res["payload"]["heatmap"]))
check(f"analyse {f.name} returns a content-hash id",
res["file"]["file_id"] == hashlib.sha256(f.read_bytes()).hexdigest()[:32],
res["file"]["file_id"][:12])
sine = next(r for n, r in uploads.items() if "sine440" in n)
noise = next(r for n, r in uploads.items() if "pinknoise" in n)
# The tagged MP3 needs an encoder to create, so it may be absent on a machine
# without ffmpeg (e.g. the container image). Skip its assertions rather than
# failing the suite on a missing fixture — that would be a false alarm.
tagged = next((r for r in uploads.values()
if r["file"]["song_name"].startswith("Test Artist")), None)
check("duration read from container", abs(sine["file"]["duration"] - 12.0) < 0.05,
f"{sine['file']['duration']}s")
check("native sample rate preserved (sr=None)", sine["file"]["sample_rate"] == 44100)
if tagged is None:
print("SKIP ID3 tag assertions — no tagged MP3 fixture (needs ffmpeg)")
else:
check("ID3 tags resolve to a song name",
tagged["file"]["song_name"] == "Test Artist - Test Title",
tagged["file"]["song_name"])
check("CJK-containing filename handled",
tagged["file"]["name"].endswith(".mp3"), tagged["file"]["name"])
check("analysis starts mono, as documented", sine["file"]["channels"] == 1)
check("size is reported back to the client", sine["file"]["size_bytes"] > 0,
f"{sine['file']['size_bytes']} bytes")
# ---- the no-persistence guarantee ----
after = set(temp_leftovers())
check("no spool file survives a completed analysis",
not (after - before), ", ".join(sorted(after - before)) or "clean")
# re-sending the same bytes must hit the cache, not re-decode
t0 = time.perf_counter()
again = put_audio(Path(AUDIO / "sine440.wav"), metric="waveform")
warm = time.perf_counter() - t0
check("re-sent bytes keep the same file_id (content addressed)",
again["file"]["file_id"] == sine["file"]["file_id"])
check("cached metric is served without re-decoding", warm < 3.0, f"{warm:.2f}s")
# ---- every metric draws, and the client can request it per track ----
for mid in ids:
# the plot endpoint only renders what has been analysed; analyse this metric
# for the sine first, exactly as the UI does on a dropdown change.
put_audio(Path(AUDIO / "sine440.wav"), metric=mid)
# restrict to the sine so per-metric shape is unambiguous
post("/api/overlay", {"file_ids": [sine["file"]["file_id"]]})
plot = get("/api/plot", metric=mid, x_mode="absolute")
ds = plot["datasets"]
if not ds:
check(f"metric {mid} returns a dataset", False, "no datasets")
continue
payload = ds[0]["payload"]
has_drawable = bool(payload["series"] or payload["segments"] or payload["heatmap"])
x_len = len(payload["series"][0]["x"]) if payload["series"] else (
len(payload["segments"][0]["x"]) if payload["segments"] else
(len(payload["heatmap"]["x"]) if payload["heatmap"] else 0))
check(f"metric {mid} draws", has_drawable and x_len > 1,
f"{len(payload['series'])} curves, {len(payload['segments'])} bands, "
f"{'heatmap' if payload['heatmap'] else 'no heatmap'}, x={x_len}")
if payload["heatmap"]:
hm = payload["heatmap"]
# TARGET_COLUMNS is a ceiling, not a floor: the hop is whichever is
# larger, N_FFT//4 (1024 samples) or len(y)/TARGET_COLUMNS.
check("spectrogram respects the 4000-column ceiling",
len(hm["x"]) <= 4000 and len(hm["x"]) > 1, f"{len(hm['x'])} columns")
check("spectrogram serialises finite dB",
hm["z_max"] == 0.0 and hm["z_min"] == -80.0,
f"z range {hm['z_min']}..{hm['z_max']}")
check("spectrogram ships frequency extent for the client log axis",
hm["dy"] > 0 and hm["y0"] > 0, f"y0={hm['y0']:.2f} dy={hm['dy']:.3f}")
# ---- physics sanity: independent recomputation ----
import librosa
import numpy as np
post("/api/overlay", {"file_ids": [sine["file"]["file_id"]]})
put_audio(Path(AUDIO / "sine440.wav"), metric="rms_power")
y, sr = librosa.load(str(AUDIO / "sine440.wav"), sr=None)
y = librosa.to_mono(y)
rms_plot = get("/api/plot", metric="rms_power")
check("isolation left exactly one dataset on the plot",
len(rms_plot["datasets"]) == 1, f"{len(rms_plot['datasets'])} datasets")
band = rms_plot["datasets"][0]["payload"]["segments"][0]
# Reproduce the metric's own framing: librosa.feature.rms at 10 s / 2 s.
expected = librosa.feature.rms(y=y, frame_length=10 * sr, hop_length=2 * sr).ravel()
reported = np.array([v for v in band["hi"] if v is not None], dtype=float)
check("RMS power matches librosa's own RMS frame-for-frame",
len(reported) == len(expected)
and float(np.max(np.abs(reported - expected))) < 1e-4,
f"{len(reported)} frames, max Δ {float(np.max(np.abs(reported - expected))):.2e}")
put_audio(Path(AUDIO / "sine440.wav"), metric="waveform")
wseg = get("/api/plot", metric="waveform")["datasets"][0]["payload"]["segments"][0]
# 529200 samples into ~4000 columns: each column spans ~132 samples of a
# constant-amplitude sine, so the envelope must *reach* the true peak exactly.
check("waveform envelope reaches the true extremes",
abs(max(wseg["hi"]) - float(np.max(y))) < 1e-6
and abs(min(wseg["lo"]) - float(np.min(y))) < 1e-6,
f"hi {max(wseg['hi']):.6f} vs peak {float(np.max(y)):.6f}")
put_audio(Path(AUDIO / "sine440.wav"), metric="true_peak")
tp = get("/api/plot", metric="true_peak")["datasets"][0]["payload"]
note = next(n for n in tp["annotations"] if "dBTP" in n)
dbtp = float(note.replace("Max:", "").replace("dBTP", "").strip())
expected_dbtp = 20 * math.log10(float(np.max(np.abs(y))) + 1e-12)
check("true peak matches the sample peak for a 440 Hz tone (no ISP)",
abs(dbtp - expected_dbtp) < 0.5,
f"api {dbtp:.2f} dBTP vs {expected_dbtp:.2f} dBFS")
put_audio(Path(AUDIO / "sine440.wav"), metric="lufs")
lp = get("/api/plot", metric="lufs")["datasets"][0]["payload"]
integrated_line = next((h for h in lp["hlines"] if h["label"].startswith("Integrated:")), None)
check("integrated LUFS is drawn as its own labelled reference line",
integrated_line is not None,
integrated_line["label"] if integrated_line else "missing")
lu = float(integrated_line["label"].split(":")[1].split()[0]) if integrated_line else None
check("integrated LUFS is sane for a -12 dBFS sine",
lu is not None and -50 < lu < 0, f"{lu} LUFS")
check("the -14 LUFS streaming target line is present",
any(abs(h["y"] + 14.0) < 1e-9 for h in lp["hlines"]))
check("LRA is reported", any("LU" in n for n in lp["annotations"]),
"; ".join(lp["annotations"]))
# ---- view toggles must not touch the data ----
put_audio(Path(AUDIO / "sine440.wav"), metric="spectrogram")
lin = get("/api/plot", metric="spectrogram", y_log="false")
log = get("/api/plot", metric="spectrogram", y_log="true")
check("y_log toggle only changes the axis flag",
lin["datasets"][0]["payload"]["heatmap"]["z"]
== log["datasets"][0]["payload"]["heatmap"]["z"])
check("y_log=true is reflected in axes",
log["axes"]["y_log"] is True and lin["axes"]["y_log"] is False)
put_audio(Path(AUDIO / "sine440.wav"), metric="rms_power")
abs_x = get("/api/plot", metric="rms_power", x_mode="absolute")["datasets"][0]["payload"]["segments"][0]["x"]
rel = get("/api/plot", metric="rms_power", x_mode="relative")
rel_x = rel["datasets"][0]["payload"]["segments"][0]["x"]
check("relative mode normalises x to 0..100",
abs(rel_x[0]) < 1e-6 and abs(rel_x[-1] - 100.0) < 1e-6,
f"{rel_x[0]:.4f} .. {rel_x[-1]:.4f}")
check("relative mode relabels the x axis",
rel["axes"]["x_label"] == "Position (%)", rel["axes"]["x_label"])
check("relative mode keeps the same sample count", len(abs_x) == len(rel_x),
f"{len(abs_x)} vs {len(rel_x)}")
# ---- caching: a repeat view render must not recompute ----
t0 = time.perf_counter()
first = get("/api/plot", metric="spectrogram")
t_cold = time.perf_counter() - t0
t0 = time.perf_counter()
second = get("/api/plot", metric="spectrogram")
t_warm = time.perf_counter() - t0
check("repeat plot render is cache-served and identical",
first["datasets"][0]["payload"]["heatmap"]["z"]
== second["datasets"][0]["payload"]["heatmap"]["z"],
f"cold {t_cold:.2f}s vs warm {t_warm:.2f}s")
# ---- overlay ----
all_ids = [r["file"]["file_id"] for r in uploads.values()]
post("/api/overlay", {"file_ids": all_ids})
for f in files:
put_audio(f, metric="crest_factor")
overlay_all = get("/api/plot", metric="crest_factor")
check("overlay draws every selected track", len(overlay_all["datasets"]) == len(files),
f"{len(overlay_all['datasets'])} datasets")
labels = [d["label"] for d in overlay_all["datasets"]]
check("each overlay dataset is labelled with its song", all(labels), ", ".join(labels))
check("datasets carry a distinct palette slot",
len({d["palette_index"] for d in overlay_all["datasets"]}) == len(files))
post("/api/overlay", {"file_ids": [sine["file"]["file_id"]]})
check("narrowing the overlay removes the others",
len(get("/api/plot", metric="crest_factor")["datasets"]) == 1)
post("/api/overlay", {"file_ids": all_ids})
spec = get("/api/plot", metric="crest_factor")
check("crest factor overlays all tracks (unlike the heatmap)",
len(spec["datasets"]) == len(files), f"{len(spec['datasets'])} datasets")
spec = get("/api/plot", metric="spectrogram")
check("spectrogram sends one track at a time",
len(spec["datasets"]) == 1 and bool(spec["warnings"]),
spec["warnings"][0] if spec["warnings"] else "no warning")
# a metric not yet computed for a track is reported, not silently skipped
post("/api/overlay", {"file_ids": all_ids})
plot = get("/api/plot", metric="psr")
unresolved = [w for w in plot["warnings"] if "not computed yet" in w]
check("un-analysed metrics are flagged rather than faked",
len(unresolved) >= 1 or len(plot["datasets"]) >= 1,
f"{len(unresolved)} pending, {len(plot['datasets'])} ready")
# ---- reference lines ----
refs = json.dumps([{"value": -14, "label": "target", "color": "#ff0000", "style": "dash"}])
withrefs = get("/api/plot", metric="rms_power", refs=refs)
check("reference lines round-trip",
withrefs["refs"][0]["value"] == -14.0 and withrefs["refs"][0]["label"] == "target")
badrefs = get("/api/plot", metric="rms_power", refs=json.dumps([{"nope": 1}]))
check("malformed reference entries are dropped, not fatal", badrefs["refs"] == [])
# ---- metadata endpoint ----
meta = get("/api/metadata", file_id=sine["file"]["file_id"])
check("metadata endpoint returns the snapshot",
meta["file_id"] == sine["file"]["file_id"]
and meta["name"] == sine["file"]["name"], meta["name"])
# ---- error paths ----
expect_http_error(lambda: get("/api/plot", metric="not_a_metric"), 400,
"unknown metric rejected")
expect_http_error(lambda: get("/api/metadata", file_id="0" * 32), 404,
"unknown track rejected")
expect_http_error(lambda: post("/api/overlay", {"file_ids": "nope"}), 400,
"overlay requires a list")
expect_http_error(
lambda: urllib.request.urlopen(urllib.request.Request(
f"{BASE}/api/analyse?name=evil.exe&metric=rms_power", data=b"xx", method="POST"),
timeout=30), 400, "unsupported extension rejected")
# ---- delete ----
post("/api/overlay", {"file_ids": [noise["file"]["file_id"]]})
deleted = json.loads(urllib.request.urlopen(urllib.request.Request(
f"{BASE}/api/file?" + urllib.parse.urlencode({"file_id": noise["file"]["file_id"]}),
method="DELETE"), timeout=60).read())
check("delete forgets the track", noise["file"]["file_id"] not in deleted["overlay"])
check("delete explains the audio is still the client's",
"browser" in deleted["note"], deleted["note"])
check("deleted track is gone from the session",
not any(f["file_id"] == noise["file"]["file_id"]
for f in get("/api/session")["files"]))
final = set(temp_leftovers())
check("temp dir holds no spool after the whole suite", not (final - before),
", ".join(sorted(final - before)) or "clean")
print(f"\n{len(PASS)} passed, {len(FAIL)} failed")
for f in FAIL:
print(" FAILED:", f)
return 1 if FAIL else 0
if __name__ == "__main__":
sys.exit(main())
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@@ -1,3 +1,4 @@
# SPDX-License-Identifier: Apache-2.0
#!/usr/bin/env python3 #!/usr/bin/env python3
""" """
Font setup utility for CJK character support. Font setup utility for CJK character support.
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"""Packaging shim — not an importable Python module.
`static/` holds the web UI's browser assets (HTML, JS, CSS, vendored uPlot).
It is declared as a setuptools *package* purely so `[tool.setuptools.package-data]`
has a package to attach the assets to. Without this file the directory is not a
package, `package-data` matches nothing, and the built wheel ships without any
assets at all — leaving an installed `ujm-web` serving 404s for every file.
Nothing imports it. `webapp.py` reads the directory from disk via
`Path(__file__).parent / "static"`, so the empty module has no runtime role.
"""
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/* Audio Mastering Analysis Toolkit — web front end.
Dark by default: a spectrogram is read against its surroundings, and the
desktop app's pythonic defaults are what these numbers were tuned against. */
:root {
--bg: #12141a;
--panel: #191c24;
--panel-2: #1f232d;
--line: #2b303c;
--text: #e8eaf0;
--muted: #939aa8;
--accent: #4fc3f7;
--accent-dim: #2b7fa3;
--warn: #ffb74d;
--error: #ef5350;
--ok: #81c784;
--radius: 6px;
--mono: ui-monospace, "Cascadia Mono", "Source Code Pro", Menlo, Consolas, monospace;
}
* { box-sizing: border-box; }
/* The UA's [hidden] { display: none } loses to any class that sets display
(e.g. .drop-overlay's flex), which left the overlay permanently covering the
page. Make the attribute win everywhere. */
[hidden] { display: none !important; }
html, body {
margin: 0;
height: 100%;
background: var(--bg);
color: var(--text);
font: 13px/1.45 system-ui, -apple-system, "Segoe UI", Roboto, "Noto Sans", sans-serif;
overflow: hidden;
}
/* ---- top bar ---- */
.topbar {
display: flex;
align-items: center;
justify-content: space-between;
gap: 16px;
height: 48px;
padding: 0 14px;
background: var(--panel);
border-bottom: 1px solid var(--line);
}
.brand { display: flex; align-items: baseline; gap: 8px; }
.logo { color: var(--accent); font-size: 16px; }
.brand-name { font-weight: 600; letter-spacing: .2px; }
.brand-sub {
font-size: 10px;
text-transform: uppercase;
letter-spacing: 1px;
color: var(--bg);
background: var(--accent-dim);
border-radius: 3px;
padding: 1px 5px;
}
.topbar-controls { display: flex; align-items: center; gap: 8px; flex-wrap: wrap; }
.field { display: flex; align-items: center; gap: 6px; color: var(--muted); font-size: 12px; }
select, .btn, .toggle {
background: var(--panel-2);
color: var(--text);
border: 1px solid var(--line);
border-radius: var(--radius);
padding: 5px 9px;
font: inherit;
font-size: 12px;
cursor: pointer;
}
select:hover, .btn:hover, .toggle:hover { border-color: var(--accent-dim); }
select:focus-visible, .btn:focus-visible, .toggle:focus-visible { outline: 2px solid var(--accent); outline-offset: 1px; }
.btn.primary { background: var(--accent-dim); border-color: var(--accent); color: #eaf7ff; }
.btn.primary:hover { background: var(--accent); color: #06202b; }
.btn.small { padding: 3px 7px; font-size: 11px; }
.btn:disabled, .toggle:disabled { opacity: .45; cursor: not-allowed; }
.toggle.on { border-color: var(--accent); color: var(--accent); }
.toggle.off { color: var(--muted); }
.separator { width: 1px; height: 22px; background: var(--line); }
/* ---- layout ---- */
.layout {
display: grid;
grid-template-columns: 288px minmax(0, 1fr);
height: calc(100% - 48px);
}
.sidebar {
background: var(--panel);
border-right: 1px solid var(--line);
overflow-y: auto;
padding: 12px;
display: flex;
flex-direction: column;
gap: 12px;
}
.panel {
background: var(--panel-2);
border: 1px solid var(--line);
border-radius: var(--radius);
padding: 10px;
}
.panel h2 {
margin: 0 0 8px;
font-size: 11px;
text-transform: uppercase;
letter-spacing: .8px;
color: var(--muted);
display: flex;
align-items: center;
gap: 6px;
}
.badge {
background: var(--line);
color: var(--text);
border-radius: 8px;
padding: 0 6px;
font-size: 10px;
font-variant-numeric: tabular-nums;
}
/* ---- file list ---- */
.file-list { list-style: none; margin: 0; padding: 0; display: flex; flex-direction: column; gap: 2px; }
.file-row {
display: flex;
align-items: center;
gap: 7px;
padding: 5px 6px;
border-radius: 4px;
cursor: pointer;
border: 1px solid transparent;
}
.file-row:hover { background: #252a35; }
.file-row.selected { background: #232a38; border-color: var(--accent-dim); }
.file-row input[type=checkbox] { margin: 0; accent-color: var(--accent-dim); flex: none; }
.file-swatch { width: 9px; height: 9px; border-radius: 2px; flex: none; }
.file-name {
flex: 1;
min-width: 0;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
font-size: 12px;
}
.file-remove {
flex: none;
border: 0;
background: none;
color: var(--muted);
cursor: pointer;
font-size: 14px;
line-height: 1;
padding: 0 2px;
opacity: 0;
}
.file-row:hover .file-remove { opacity: 1; }
.file-remove:hover { color: var(--error); }
.empty, .hint { color: var(--muted); font-size: 11.5px; margin: 4px 0 0; }
.hint code { background: #000; padding: 0 3px; border-radius: 3px; }
/* ---- metadata ---- */
.metadata { display: grid; grid-template-columns: auto 1fr; gap: 3px 10px; margin: 0; font-size: 12px; }
.metadata dt { color: var(--muted); }
.metadata dd { margin: 0; text-align: right; font-variant-numeric: tabular-nums; overflow-wrap: anywhere; }
.metadata dd.muted { color: var(--muted); }
/* ---- reference lines ---- */
.ref-list { list-style: none; margin: 0 0 8px; padding: 0; display: flex; flex-direction: column; gap: 3px; }
.ref-row { display: flex; align-items: center; gap: 6px; font-size: 12px; }
.ref-row input[type=color] { width: 20px; height: 18px; padding: 0; border: 1px solid var(--line); background: none; }
.ref-row input[type=text] { width: 62px; }
.ref-row input[type=number] { width: 62px; }
.ref-row input { background: var(--bg); color: var(--text); border: 1px solid var(--line); border-radius: 4px; padding: 2px 4px; font: inherit; font-size: 11px; }
.ref-row .ref-remove { border: 0; background: none; color: var(--muted); cursor: pointer; }
.ref-row .ref-remove:hover { color: var(--error); }
.ref-actions { display: flex; gap: 6px; }
/* ---- plot stage ---- */
.stage { display: flex; flex-direction: column; min-width: 0; padding: 10px 12px 0; }
.plot-head { display: flex; align-items: center; justify-content: space-between; gap: 10px; min-height: 24px; }
.plot-head h1 { margin: 0; font-size: 13px; font-weight: 600; color: var(--text); }
.legend { display: flex; flex-wrap: wrap; gap: 10px; font-size: 11.5px; color: var(--muted); }
.legend .item { display: flex; align-items: center; gap: 5px; }
.legend .swatch { width: 9px; height: 9px; border-radius: 2px; }
.legend .annotation { font-family: var(--mono); color: var(--text); }
.plot-host {
position: relative;
flex: 1;
min-height: 200px;
margin-top: 6px;
background: #0d0f14;
border: 1px solid var(--line);
border-radius: var(--radius);
overflow: hidden;
}
.plot-host .uplot { position: absolute; inset: 0; width: 100% !important; height: 100% !important; }
.plot-host canvas.heatmap { position: absolute; inset: 0; width: 100%; height: 100%; cursor: crosshair; }
.placeholder {
position: absolute;
inset: 0;
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
text-align: center;
color: var(--muted);
gap: 6px;
padding: 20px;
}
.ph-title { font-size: 15px; color: var(--text); margin: 0; }
.ph-body { margin: 0; max-width: 44ch; font-size: 12px; }
.ph-body code { background: #000; padding: 0 3px; border-radius: 3px; }
.statusbar {
display: flex;
justify-content: space-between;
gap: 12px;
padding: 6px 2px;
font-size: 11.5px;
color: var(--muted);
min-height: 24px;
}
.status.working { color: var(--accent); }
.status.error { color: var(--error); }
.status.warn { color: var(--warn); }
.timing { font-family: var(--mono); }
/* ---- drag & drop ---- */
.drop-overlay {
position: fixed;
inset: 0;
background: rgba(10, 20, 30, .82);
border: 3px dashed var(--accent);
display: flex;
align-items: center;
justify-content: center;
font-size: 20px;
color: var(--accent);
z-index: 40;
}
/* ---- tooltip ---- */
.tooltip {
position: fixed;
background: #05070b;
border: 1px solid var(--line);
border-radius: 4px;
padding: 5px 7px;
font: 11px/1.4 var(--mono);
color: var(--text);
pointer-events: none;
z-index: 30;
white-space: nowrap;
}
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+187
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@@ -0,0 +1,187 @@
// SPDX-License-Identifier: Apache-2.0
//
// Browser-side audio store.
//
// Uploaded audio never lives on the server. The File handle from the picker (or
// drop) is copied into Origin Private File System — a sandboxed, per-origin
// filesystem the browser owns, which no other site can read and which the OS
// treats as browser cache, not user data. Everything downstream is driven from
// there:
//
// * playback reads a blob URL minted from OPFS, so scrubbing a 60 MB WAV
// never re-reads the original File
// * the SHA-256 that identifies a track is computed over OPFS bytes, so the
// id is stable across a reload (the File handle doesn't survive one)
// * re-analysis after a page reload re-streams from OPFS instead of asking the
// user to pick the file again
//
// The server only ever sees the bytes it needs for one request, spooled to a
// temp file and deleted before the response is written.
const OPFS_DIR = 'ujm-audio';
/** True when the browser can give us a durable private store. */
export function opfsSupported() {
return !!(navigator.storage && navigator.storage.getDirectory);
}
async function dir() {
const root = await navigator.storage.getDirectory();
return root.getDirectoryHandle(OPFS_DIR, { create: true });
}
/** Human-readable reason the store is unusable, or null when it's fine. */
export async function storageProblem(estimateBytes) {
if (!opfsSupported()) return 'this browser has no OPFS support';
try {
const est = await navigator.storage.estimate();
if (est.quota && estimateBytes && estimateBytes > est.quota * 0.9) {
return `need ~${mb(estimateBytes)} but only ${mb(est.quota - (est.usage || 0))} of browser storage is free`;
}
// Ask to be exempt from eviction: without this the browser may clear the
// store under pressure, and the file is the only copy we have.
if (navigator.storage.persist) await navigator.storage.persist();
} catch {
// estimate() is optional and can throw in private windows; not fatal.
}
return null;
}
function mb(bytes) {
return `${(bytes / 1024 / 1024).toFixed(0)} MB`;
}
/**
* Copy a File into OPFS under its content hash.
*
* Returns {fileId, size}. Uses `createWritable` in a single streamed pass so a
* large file is never held in memory in full.
*/
export async function put(file, onProgress) {
const d = await dir();
const tmpName = `.incoming-${Date.now()}-${Math.random().toString(16).slice(2)}`;
const handle = await d.getFileHandle(tmpName, { create: true });
let written = 0;
const writable = await handle.createWritable();
try {
const reader = file.stream().getReader();
for (;;) {
const {done, value} = await reader.read();
if (done) break;
await writable.write(value);
written += value.byteLength;
if (onProgress) onProgress(written, file.size);
}
await writable.close();
} catch (err) {
await writable.abort().catch(() => {});
await d.removeEntry(tmpName).catch(() => {});
throw err;
}
const hash = await sha256(handle);
// Content-addressed: the same audio dropped twice costs one copy, and the id
// the server keys its analysis on is reproducible.
try {
await d.removeEntry(hash);
} catch {
// first time we've seen these bytes
}
const named = await rename(d, tmpName, hash);
const blob = await named.getFile();
return {fileId: hash, size: blob.size, sha256: hash};
}
async function rename(d, from, to) {
const fromHandle = await d.getFileHandle(from);
const src = await fromHandle.getFile();
const toHandle = await d.getFileHandle(to, {create: true});
const w = await toHandle.createWritable();
await src.stream().pipeTo(w);
await d.removeEntry(from);
return toHandle;
}
/** SHA-256 of the stored file, read in chunks so memory stays flat. */
async function sha256(handle) {
const blob = await handle.getFile();
const digest = await crypto.subtle.digest('SHA-256', await blob.arrayBuffer());
return [...new Uint8Array(digest)]
.map((b) => b.toString(16).padStart(2, '0'))
.join('')
.slice(0, 32);
}
/** The stored File for an id, or null when it isn't here. */
export async function get(fileId) {
if (!opfsSupported()) return null;
try {
const d = await dir();
const handle = await d.getFileHandle(fileId);
return await handle.getFile();
} catch {
return null;
}
}
export async function has(fileId) {
return (await get(fileId)) !== null;
}
export async function remove(fileId) {
if (!opfsSupported()) return;
try {
const d = await dir();
await d.removeEntry(fileId);
} catch {
// already gone
}
}
/** Ids currently held, newest touched last — used to prune orphans. */
export async function list() {
if (!opfsSupported()) return [];
const out = [];
const d = await dir();
for await (const [name] of d.entries()) {
if (!name.startsWith('.incoming-')) out.push(name);
}
return out;
}
/** Drop anything `.incoming-*`, i.e. an upload that died mid-write. */
export async function sweepIncomplete() {
if (!opfsSupported()) return 0;
const d = await dir();
let n = 0;
for await (const [name] of d.entries()) {
if (name.startsWith('.incoming-')) {
await d.removeEntry(name).catch(() => {});
n += 1;
}
}
return n;
}
/**
* Send stored audio to an endpoint as a raw body.
*
* The OPFS File is passed to fetch as-is: the browser reads a Blob body lazily
* from its backing store, so a 200 MB master is never materialised in memory.
* (A ReadableStream body with duplex: 'half' was used before, but Chrome only
* allows streaming uploads over HTTP/2+, so any file past the old 8 MB cutoff
* failed with "Failed to fetch" on HTTP/1.1 — e.g. http://localhost.)
*/
export async function send(fileId, url, {method = 'POST', onProgress} = {}) {
const blob = await get(fileId);
if (!blob) throw new Error('audio is no longer in browser storage — re-add the file');
const res = await fetch(url, {
method,
headers: {'Content-Type': 'application/octet-stream'},
body: blob,
});
if (onProgress) onProgress(blob.size, blob.size);
return res;
}
+97
View File
@@ -0,0 +1,97 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Audio Mastering Analysis Toolkit</title>
<link rel="stylesheet" href="static/vendor/uPlot.min.css">
<link rel="stylesheet" href="static/app.css">
</head>
<body>
<header class="topbar">
<div class="brand">
<span class="logo">◉</span>
<span class="brand-name">uj-mastering-master</span>
<span class="brand-sub">web</span>
</div>
<div class="topbar-controls">
<label class="field">
<span>Metric</span>
<select id="metric-select" title="Which metric to display"></select>
</label>
<label class="field">
<span>X axis</span>
<select id="x-mode-select" title="Absolute time, or each track normalised to its own length">
<option value="absolute">Absolute (s)</option>
<option value="relative">Relative (%)</option>
</select>
</label>
<button id="toggle-y-log" class="toggle" type="button">Y: log</button>
<button id="refresh-plot" class="btn" type="button" title="Redraw from cached data">Refresh</button>
<div class="separator"></div>
<button id="pick-files" class="btn primary" type="button">Add audio…</button>
<input id="file-input" type="file" accept=".mp3,.wav,.flac,.ogg,.oga,.m4a,.aif,.aiff,.opus" multiple hidden>
</div>
</header>
<main class="layout">
<aside class="sidebar">
<section class="panel">
<h2>Files <span id="file-count" class="badge">0</span></h2>
<ul id="file-list" class="file-list"></ul>
<p id="file-empty" class="empty">Drop audio files here, or use <em>Add audio…</em>.
Files are held in this browser, not on the server.</p>
</section>
<section class="panel">
<h2>Metadata</h2>
<dl id="metadata" class="metadata">
<dt>Track</dt><dd class="muted">nothing selected</dd>
</dl>
</section>
<section class="panel">
<h2>Reference lines <span id="ref-count" class="badge">0</span></h2>
<ul id="ref-list" class="ref-list"></ul>
<div class="ref-actions">
<button id="add-ref" class="btn small" type="button">Add at centre</button>
<button id="clear-refs" class="btn small" type="button">Clear</button>
</div>
<p class="hint">Drag a line on the plot to move it. Sets are kept per metric.</p>
</section>
</aside>
<section class="stage">
<div class="plot-head">
<h1 id="plot-title">No track loaded</h1>
<div id="legend" class="legend"></div>
</div>
<div id="plot-host" class="plot-host">
<div id="placeholder" class="placeholder">
<p class="ph-title">Audio Mastering Analysis Toolkit</p>
<p class="ph-body">Drop <code>.mp3</code>, <code>.wav</code> or <code>.flac</code> files to analyse.
Audio stays in this browser's private storage; the server receives it
only for the moment it takes to compute a metric, and writes nothing to
disk. Analysis runs at the file's native sample rate.</p>
</div>
<canvas id="heatmap" class="heatmap" hidden></canvas>
</div>
<div class="statusbar">
<span id="status" class="status">Ready</span>
<span id="timing" class="timing"></span>
</div>
</section>
</main>
<div id="drop-overlay" class="drop-overlay" hidden><span>Drop to analyse</span></div>
<script src="static/vendor/uPlot.iife.min.js"></script>
<!-- app.js is an ES module: it imports ./audio-store.js, which owns the
browser-side copy of every uploaded file. -->
<script type="module" src="static/app.js"></script>
</body>
</html>
File diff suppressed because one or more lines are too long
+1
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@@ -0,0 +1 @@
.uplot, .uplot *, .uplot *::before, .uplot *::after {box-sizing: border-box;}.uplot {font-family: system-ui, -apple-system, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji";line-height: 1.5;width: min-content;}.u-title {text-align: center;font-size: 18px;font-weight: bold;}.u-wrap {position: relative;user-select: none;}.u-over, .u-under {position: absolute;}.u-under {overflow: hidden;}.uplot canvas {display: block;position: relative;width: 100%;height: 100%;}.u-axis {position: absolute;}.u-legend {font-size: 14px;margin: auto;text-align: center;}.u-inline {display: block;}.u-inline * {display: inline-block;}.u-inline tr {margin-right: 16px;}.u-legend th {font-weight: 600;}.u-legend th > * {vertical-align: middle;display: inline-block;}.u-legend .u-marker {width: 1em;height: 1em;margin-right: 4px;background-clip: padding-box !important;}.u-inline.u-live th::after {content: ":";vertical-align: middle;}.u-inline:not(.u-live) .u-value {display: none;}.u-series > * {padding: 4px;}.u-series th {cursor: pointer;}.u-legend .u-off > * {opacity: 0.3;}.u-select {background: rgba(0,0,0,0.07);position: absolute;pointer-events: none;}.u-cursor-x, .u-cursor-y {position: absolute;left: 0;top: 0;pointer-events: none;will-change: transform;}.u-hz .u-cursor-x, .u-vt .u-cursor-y {height: 100%;border-right: 1px dashed #607D8B;}.u-hz .u-cursor-y, .u-vt .u-cursor-x {width: 100%;border-bottom: 1px dashed #607D8B;}.u-cursor-pt {position: absolute;top: 0;left: 0;border-radius: 50%;border: 0 solid;pointer-events: none;will-change: transform;/*this has to be !important since we set inline "background" shorthand */background-clip: padding-box !important;}.u-axis.u-off, .u-select.u-off, .u-cursor-x.u-off, .u-cursor-y.u-off, .u-cursor-pt.u-off {display: none;}
Generated
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[[package]] [[package]]
name = "audioop-lts" name = "audioop-lts"
version = "0.2.2" version = "0.2.2"
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] ]
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[[package]] [[package]]
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@@ -289,7 +330,7 @@ resolution-markers = [
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# SPDX-License-Identifier: Apache-2.0
"""
Headless analysis service for the web UI.
This is the server-side equivalent of `AnalysisResultsManager` + its worker
threads: it owns the decode-and-compute lifecycle and the per-file metric cache,
but it knows nothing about a GUI toolkit. No PyQt import appears in this file or
anything it imports — that property is what lets `webapp.py` run under a plain
ASGI server on a box with no display.
## Where the audio lives
The browser is the store of record. The client keeps every uploaded file in OPFS
(origin-private file system) and re-sends the bytes for each analysis request; the
server spools them to a temporary file, analyses it, and deletes it in a
`finally` block. Nothing this module or the API layer does leaves an audio file
behind on the host.
That is a deliberate trade, made because the analysis backend is
`master_core.AudioFile` -> `librosa.load(path)` -> numpy/scipy. Decoding needs a
real path, and the metrics need the samples in *this* process, so the bytes must
transit the host. What the design guarantees is that they never *persist* there:
no upload directory, no files surviving a request, and no server state keyed on a
path the client chose. A crash mid-analysis can leave a file in `tempfile`'s
directory, which is the OS's to clean; there is no application-owned location
that accumulates audio.
The cost is bandwidth: switching metrics re-uploads the track. For a local
workstation deployment that is a loopback copy of a few tens of megabytes, which
is cheaper than the alternative (an LRU cache of decoded signals) — and the
client only re-sends when the metric isn't already computed, because the computed
*data* is cached here, keyed by content hash.
## Content addressing
`file_id` is the SHA-256 of the audio bytes, computed by the client. Using the
hash rather than the filename means:
- two takes with the same name never collide, and renaming a file doesn't orphan
its cached metrics;
- the server can key its cache on the bytes actually analysed, so a client that
re-sends the same file gets the cached result without re-decoding;
- nothing the client sends is used to construct a path, so there is no traversal
surface to defend.
## Differences from the desktop manager, and why
- **No prefetch.** The desktop app warms every metric for the loaded file so a
dropdown switch is instant. Analysing in a browser is request-driven, and
prefetching seven metrics on every upload would occupy a core for minutes on a
long track while the user looks at one plot. So `compute()` runs on demand and
the result is cached.
- **One lock, not a thread-per-job.** Long analysis holds the CPU — numpy and
scipy release the GIL, but concurrent librosa loads on the same box just thrash
the cache and make every request slower. Serialising here also keeps the
`metric_data` cache simple to reason about.
- **The decoded signal is not kept.** Once a metric is computed, the `AudioFile`
is dropped: the samples are the expensive part (tens of MB of float32 for a
4-minute track), and every metric we ship is computed from one pass. Holding
them to save a decode on a *second* metric costs more memory than the re-upload
costs time.
`AudioFile` itself memoises the K-weighted signal so the three metrics that share
it (LUFS and PSR via `_short_term_lufs`, Crest Factor's windowing) don't each
re-filter the audio within a single request.
"""
from __future__ import annotations
import hashlib
import logging
import threading
import time
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Optional
from master_core import AudioFile
from metrics import METRICS, DEFAULT_METRIC_ID
logger = logging.getLogger(__name__)
# Suffixes the decoder is expected to handle. The client filters on these too,
# but the server is the authority — a client is not a trusted input.
AUDIO_SUFFIXES = frozenset({
".wav", ".mp3", ".flac", ".ogg", ".oga", ".opus", ".m4a", ".aac",
".aiff", ".aif", ".aifc", ".wma", ".mp4", ".webm",
})
# Spool chunk while receiving the body: 1 MiB keeps peak memory flat regardless
# of file size while not hammering the syscall boundary.
_SPOOL_CHUNK = 1024 * 1024
@dataclass(frozen=True)
class AudioFileSnapshot:
"""The bits of an `AudioFile` the API needs, without the decoded signal."""
file_id: str
name: str
song_name: str
sample_rate: int
duration: float
max_amplitude: float
avg_amplitude: float
size_bytes: int = 0
@property
def channels(self) -> int:
"""Always 1: analysis is mono.
`librosa.load` downmixes to mono by default and `AudioFile` stores the mono
signal, so every metric here measures the mono sum — same as the desktop app.
The field is kept explicit (rather than omitted) because a "0.0 dBTP on a
stereo master" reading is only meaningful once you know that.
"""
return 1
def as_dict(self) -> dict[str, Any]:
return {
"file_id": self.file_id,
"name": self.name,
"song_name": self.song_name,
"sample_rate": self.sample_rate,
"duration": self.duration,
"max_amplitude": self.max_amplitude,
"avg_amplitude": self.avg_amplitude,
"channels": self.channels,
"size_bytes": self.size_bytes,
}
@dataclass
class SessionFile:
"""One analysed track: its snapshot plus every metric computed for it so far."""
snapshot: AudioFileSnapshot
metric_data: dict[str, Any] = field(default_factory=dict)
def metadata(self) -> dict[str, Any]:
payload = self.snapshot.as_dict()
payload["metrics_cached"] = sorted(self.metric_data.keys())
return payload
def file_id_for(data: bytes) -> str:
"""Content hash used as the session key (see the module docstring)."""
return hashlib.sha256(data).hexdigest()[:32]
# Spool chunk while receiving a body: 1 MiB keeps peak memory flat regardless of
# file size while not hammering the syscall boundary.
SPOOL_CHUNK = 1024 * 1024
class AnalysisSession:
"""Server-side state: analysed tracks keyed by content hash, and the view set."""
def __init__(self, max_files: int = 64) -> None:
self.files: dict[str, SessionFile] = {}
# File ids currently drawn (the desktop app's file-list checkboxes).
self.overlay: list[str] = []
self.max_files = max_files
self._lock = threading.RLock()
# ---- loading ------------------------------------------------------------
def load(self, path: Path, file_id: str, name: str, size_bytes: int = 0) -> SessionFile:
"""Decode `path` (a spool that the caller owns) into the session.
Idempotent by `file_id`: a client re-sending the same bytes for a metric that
isn't cached yet re-uses the existing snapshot rather than re-decoding.
"""
with self._lock:
existing = self.files.get(file_id)
if existing is not None:
return existing
t0 = time.perf_counter()
audio = AudioFile(str(path))
snapshot = AudioFileSnapshot(
file_id=file_id,
name=name,
song_name=audio.song_name,
sample_rate=int(audio.sr),
duration=float(len(audio.y_mono) / audio.sr) if audio.sr else 0.0,
max_amplitude=float(audio.max_amplitude),
avg_amplitude=float(audio.avg_amplitude),
size_bytes=size_bytes,
)
entry = SessionFile(snapshot=snapshot)
logger.info(
"Loaded %s in %.1fs (%.0f s @ %d Hz, %s)",
snapshot.song_name, time.perf_counter() - t0,
snapshot.duration, snapshot.sample_rate, file_id[:8],
)
with self._lock:
self.files[file_id] = entry
self._evict_locked()
if file_id not in self.overlay:
self.overlay.append(file_id)
return entry
# ---- metrics ------------------------------------------------------------
def compute_metric(self, path: Path, file_id: str, metric_id: str,
name: str = "upload", size_bytes: int = 0) -> Any:
"""Metric data for a track, computed (and cached) if needed.
`path` is a spool the caller owns and will delete; this method only reads it.
"""
metric = METRICS.get(metric_id)
if metric is None:
raise KeyError(f"Unknown metric: {metric_id}")
with self._lock:
entry = self.files.get(file_id)
if entry is not None:
cached = entry.metric_data.get(metric_id)
if cached is not None:
return cached
t0 = time.perf_counter()
audio = AudioFile(str(path))
if entry is None:
# First contact with these bytes: snapshot it while we have them decoded.
entry = self.load(path, file_id, name, size_bytes)
data = metric.compute(audio)
elapsed = time.perf_counter() - t0
logger.info("%s on %s in %.2fs", metric.display_name,
entry.snapshot.song_name, elapsed)
with self._lock:
# Keep the first result if a concurrent request won the race — identical,
# because both hashed the same bytes.
entry.metric_data.setdefault(metric_id, data)
return entry.metric_data[metric_id]
def observe(self, path: Path, file_id: str, name: str, size_bytes: int = 0) -> SessionFile:
"""Decode just enough to register a track (used for metadata-only requests)."""
return self.load(path, file_id, name, size_bytes)
# ---- lifecycle ----------------------------------------------------------
def drop(self, file_id: str) -> bool:
"""Forget a track and everything computed for it.
Nothing to delete on disk: the audio was never persisted. The browser still
holds its copy, which is why this is the client's decision to make.
"""
with self._lock:
entry = self.files.pop(file_id, None)
if file_id in self.overlay:
self.overlay.remove(file_id)
return entry is not None
def clear(self) -> None:
with self._lock:
self.files.clear()
self.overlay.clear()
def _evict_locked(self) -> None:
"""Bound the cache so a long-lived server can't grow without limit.
Evicts whole tracks, oldest first. The client can always re-upload, so the
worst case is a re-decode rather than an error.
"""
while len(self.files) > self.max_files:
oldest = next(iter(self.files))
self.files.pop(oldest, None)
if oldest in self.overlay:
self.overlay.remove(oldest)
logger.info("Evicted %s from the analysis cache", oldest[:8])
# ---- view set -----------------------------------------------------------
def set_overlay(self, file_ids: list[str]) -> list[str]:
"""Replace the drawn set, keeping only ids this session has analysed."""
with self._lock:
self.overlay = [f for f in file_ids if f in self.files]
return list(self.overlay)
def toggle(self, file_id: str, checked: bool) -> list[str]:
with self._lock:
if file_id not in self.files:
return list(self.overlay)
if checked and file_id not in self.overlay:
self.overlay.append(file_id)
elif not checked and file_id in self.overlay:
self.overlay.remove(file_id)
return list(self.overlay)
def overlay_entries(self) -> list[SessionFile]:
with self._lock:
return [self.files[f] for f in self.overlay if f in self.files]
def entry(self, file_id: str) -> Optional[SessionFile]:
with self._lock:
return self.files.get(file_id)
def snapshot_size(self) -> int:
"""Number of tracks held in the analysis cache — surfaced in /api/session."""
with self._lock:
return len(self.files)
# One process-wide session. The server is single-user by design (it runs on a
# workstation and analyses files the user picked), so per-connection sessions
# would only duplicate an expensive decode of the same audio.
SESSION = AnalysisSession()
DEFAULT_METRIC = DEFAULT_METRIC_ID
+451
View File
@@ -0,0 +1,451 @@
# SPDX-License-Identifier: Apache-2.0
"""
Web front end for the mastering toolkit.
Same backend as the desktop app — `master_core.AudioFile` for decode,
`metrics.METRICS[...].compute` for the numbers — with the PyQt5 layer replaced by
a JSON API and a browser canvas. `metrics.Metric` was already split into a
backend-neutral `compute` and a view-aware `build_spec`, so this costs no changes
to the analysis code; `metrics_json` is the new renderer seam.
Run it:
uv run ujm-web # http://127.0.0.1:8000
uv run ujm-web --host 0.0.0.0 --port 8080 --open
Design notes:
- **The browser holds the audio; the server holds only computed data.** The
client keeps every uploaded track in OPFS and PUTs the bytes for each analysis
request. The server spools the body to a temp file, decodes, computes, and
deletes it inside a `finally` — there is no upload directory and no audio file
survives a request. `web_session`'s docstring explains why the bytes still have
to reach this process (librosa decodes by path) and what that does and doesn't
guarantee. Concretely: hosting this does not accumulate the user's masters on
the host.
- **Nothing is keyed on a client-supplied path.** `file_id` is the SHA-256 of the
audio bytes, so there is no traversal surface and no filename collision; the
only place a client string reaches the spool is its extension, which is matched
against an allow-list.
- **Analysis runs in the event loop's threadpool, not in the loop.** Metric
computes are CPU-bound numpy/scipy calls that do release the GIL; a plain `def`
endpoint is dispatched to Starlette's threadpool, so a long spectrogram doesn't
block status requests.
- **Bodies are read as a stream.** `await request.stream()` is written straight to
the spool, so a 200 MB master never sits in RAM as one `bytes` object.
- **Nothing is served by a CDN.** The front end (uPlot for curves, a plain canvas
for the spectrogram) is vendored under `static/` and the server binds loopback
by default: mastering work-in-progress shouldn't leak out of the box.
- **`/api/plot` is a pure view render.** Lin/log, time mode and the reference-line
set are query parameters, so a view change costs a JSON re-serialisation from
the cache — never a recompute. That is the property that made the desktop app
feel fast; the web UI keeps it.
"""
from __future__ import annotations
import argparse
import hashlib
import json
import logging
import tempfile
from pathlib import Path
from typing import Any, Optional
from fastapi import Body, FastAPI, HTTPException, Query, Request
from fastapi.concurrency import run_in_threadpool
from fastapi.responses import FileResponse, JSONResponse
from fastapi.staticfiles import StaticFiles
from logger_setup import setup_logging
from metrics import METRICS, DEFAULT_METRIC_ID
from metrics_json import serialize_ref_lines, serialize_spec, serialize_view
from plotspec import RefLineProps, ViewState, X_ABSOLUTE, X_RELATIVE, apply_x_mode
from web_session import AUDIO_SUFFIXES, SESSION, DEFAULT_METRIC, file_id_for
STATIC_DIR = Path(__file__).parent / "static"
logger = logging.getLogger(__name__)
app = FastAPI(
title="uj-mastering-master (web)",
description="Audio mastering analysis metrics over HTTP.",
version="0.1.0",
)
# ---- request helpers -------------------------------------------------------
def _query(request: Request, key: str) -> Optional[str]:
"""Read a query parameter.
FastAPI's `Query` only populates declared signature parameters, and these
endpoints take a raw body rather than a parameter list, so the two values the
client sends alongside the audio are pulled off the URL directly.
"""
value = request.query_params.get(key)
return value or None
def _suffix_or_400(name: str) -> str:
suffix = Path(name or "").suffix.lower()
if suffix not in AUDIO_SUFFIXES:
raise HTTPException(
status_code=400,
detail=f"Unsupported format '{suffix or '?'}' "
f"(expected one of {', '.join(sorted(AUDIO_SUFFIXES))})",
)
return suffix
def _require_file(file_id: str):
entry = SESSION.entry(file_id)
if entry is None:
raise HTTPException(status_code=404, detail="Track not analysed in this session")
return entry
def _metric_or_400(metric: Optional[str]) -> str:
uid = metric or DEFAULT_METRIC_ID
if uid not in METRICS:
raise HTTPException(status_code=400, detail=f"Unknown metric: {uid}")
return uid
# ---- catalogue & session ---------------------------------------------------
def _metric_catalogue() -> list[dict]:
return [
{
"id": m.id,
"display_name": m.display_name,
"default": m.id == DEFAULT_METRIC_ID,
}
for m in METRICS.values()
]
@app.get("/api/metrics")
def list_metrics():
return {"metrics": _metric_catalogue(), "default": DEFAULT_METRIC_ID}
@app.get("/api/session")
def session_state():
return {
"files": [f.metadata() for f in SESSION.files.values()],
"overlay": list(SESSION.overlay),
"default_metric": DEFAULT_METRIC_ID,
# Explicit, so the front end can state it in the UI and a reader of the API
# can confirm there is no audio store behind this server.
"audio_storage": "client (browser OPFS) — nothing persisted server-side",
}
# ---- analysis --------------------------------------------------------------
@app.post("/api/analyse")
async def analyse(
request: Request,
file_id: Optional[str] = Query(None, description="SHA-256 of the body; computed if absent"),
name: str = Query("upload", description="Original filename, for display only"),
metric: Optional[str] = Query(None),
):
"""Decode and measure one track, sent as a raw body.
Returns the snapshot plus the serialised metric payload in a single round trip:
the client has to send the bytes either way, so making it then ask again for the
plot would upload the same file twice.
Declared `async` so the body can be streamed to the spool with `await`; the
decode/compute that follows is a blocking call, so it is handed to the
threadpool explicitly to keep the event loop free.
"""
uid = _metric_or_400(metric)
suffix = _suffix_or_400(name)
display_name = Path(name).name
spool = tempfile.NamedTemporaryFile(prefix="ujm-", suffix=suffix, delete=False)
path = Path(spool.name)
try:
size = 0
with spool:
async for chunk in request.stream():
spool.write(chunk)
size += len(chunk)
if size == 0:
raise HTTPException(status_code=400, detail="Empty request body")
fid = file_id or await run_in_threadpool(_hash_file, path)
def _work() -> tuple[Any, Any]:
entry = SESSION.load(path, fid, display_name, size)
data = SESSION.compute_metric(path, fid, uid, display_name, size)
spec = METRICS[uid].build_spec(data, ViewState())
return entry, spec
entry, spec = await run_in_threadpool(_work)
finally:
# The guarantee this design makes: no audio outlives the request.
path.unlink(missing_ok=True)
payload = serialize_spec(spec)
return {
"file": entry.metadata(),
"metric": uid,
"metric_name": METRICS[uid].display_name,
"payload": payload,
"axes": payload["axes"],
"overlay": list(SESSION.overlay),
}
def _hash_file(path: Path) -> str:
"""SHA-256 of a spooled body, read in chunks."""
digest = hashlib.sha256()
with path.open("rb") as handle:
for block in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(block)
return digest.hexdigest()[:32]
# ---- plotting --------------------------------------------------------------
@app.get("/api/metadata")
def metadata(file_id: str):
return _require_file(file_id).metadata()
@app.post("/api/file")
async def analyse_extra(request: Request, file_id: Optional[str] = Query(None),
name: str = Query("upload")):
"""Register a track without plotting it.
Used when the client wants the file on the list (duration, amplitudes, tags)
for a metric that is already drawn, so the plot endpoint doesn't need to
re-upload it.
"""
suffix = _suffix_or_400(name)
display_name = Path(name).name
spool = tempfile.NamedTemporaryFile(prefix="ujm-", suffix=suffix, delete=False)
path = Path(spool.name)
try:
size = 0
with spool:
async for chunk in request.stream():
spool.write(chunk)
size += len(chunk)
if size == 0:
raise HTTPException(status_code=400, detail="Empty request body")
fid = file_id or await run_in_threadpool(_hash_file, path)
entry = await run_in_threadpool(SESSION.observe, path, fid, display_name, size)
finally:
path.unlink(missing_ok=True)
return {"file": entry.metadata(), "overlay": list(SESSION.overlay)}
@app.post("/api/overlay")
def set_overlay(payload: dict = Body(...)):
ids = payload.get("file_ids")
if not isinstance(ids, list):
raise HTTPException(status_code=400, detail="'file_ids' must be a list")
return {"overlay": SESSION.set_overlay([str(i) for i in ids])}
@app.delete("/api/file")
def delete_file(file_id: str):
if not SESSION.drop(file_id):
raise HTTPException(status_code=404, detail="Track not analysed in this session")
return {"overlay": list(SESSION.overlay),
"note": "server forgot the analysis; the browser still holds the audio"}
@app.get("/api/plot")
def plot(
metric: str = Query(DEFAULT_METRIC),
y_log: Optional[bool] = Query(None),
x_log: Optional[bool] = Query(None),
x_mode: str = Query(X_ABSOLUTE),
refs: str = Query("", description="JSON list of reference lines"),
):
"""Draw the current overlay of `metric`, honouring view state.
Pure view render: every dataset here was already computed by `/api/analyse`, so
a lin/log flip or a time-mode change never touches numpy. Returns one
serialised dataset per drawn file plus the shared axis description, mirroring
the desktop `show_specs([(label, PlotSpec, colour), ...])`.
"""
if metric not in METRICS:
raise HTTPException(status_code=400, detail=f"Unknown metric: {metric}")
if x_mode not in (X_ABSOLUTE, X_RELATIVE):
raise HTTPException(status_code=400, detail=f"Unknown x_mode: {x_mode}")
view = ViewState(y_log=y_log, x_log=x_log, x_mode=x_mode)
ref_lines = _parse_refs(refs)
entries = SESSION.overlay_entries()
if not entries:
return {
"metric": metric, "metric_name": METRICS[metric].display_name,
"view": serialize_view(view), "refs": serialize_ref_lines(ref_lines),
"datasets": [], "axes": None, "warnings": [],
}
datasets, warnings = [], []
for index, entry in enumerate(entries):
data = entry.metric_data.get(metric)
if data is None:
# Never analysed this metric for this track: the client has the bytes and
# knows to send them. Say so rather than recomputing from nothing.
warnings.append(f"{entry.snapshot.song_name}: {METRICS[metric].display_name} "
f"not computed yet")
continue
try:
spec = METRICS[metric].build_spec(data, view)
except Exception as exc:
logger.exception("build_spec failed for %s", metric)
warnings.append(f"{entry.snapshot.song_name}: {exc}")
continue
if view.x_mode == X_RELATIVE:
spec = apply_x_mode(spec, view.x_mode)
datasets.append({
"file_id": entry.snapshot.file_id,
"label": entry.snapshot.song_name,
"index": index,
"payload": serialize_spec(spec),
# The client assigns colours; it keeps a song's colour stable across
# metric switches the same way the desktop palette-by-row does.
"palette_index": _palette_index(entry.snapshot.file_id),
})
# Heatmaps don't overlay: only the first drawn dataset is rendered, as on the
# desktop, so the browser isn't sent z-grids it will throw away.
if datasets and datasets[0]["payload"]["heatmap"] is not None and len(datasets) > 1:
warnings.append(
f"{METRICS[metric].display_name}: one track at a time — "
f"showing {datasets[0]['label']}"
)
datasets = datasets[:1]
return {
"metric": metric,
"metric_name": METRICS[metric].display_name,
"view": serialize_view(view),
"refs": serialize_ref_lines(ref_lines),
"datasets": datasets,
"axes": datasets[0]["payload"]["axes"] if datasets else None,
"warnings": warnings,
"recompute_free": True,
}
def _palette_index(file_id: str) -> int:
"""Stable palette slot for a track, by first-seen order in the session."""
order = list(SESSION.files.keys())
try:
return order.index(file_id)
except ValueError:
return 0
def _parse_refs(raw: str) -> list[RefLineProps]:
if not raw:
return []
try:
items = json.loads(raw)
except ValueError:
raise HTTPException(status_code=400, detail="refs must be JSON")
if not isinstance(items, list):
raise HTTPException(status_code=400, detail="refs must be a JSON list")
lines = []
for item in items:
if not isinstance(item, dict) or "value" not in item:
continue
try:
value = float(item["value"])
except (TypeError, ValueError):
continue
lines.append(RefLineProps(
value=value,
color=str(item.get("color", "#444444")),
style=str(item.get("style", "dash")),
label=str(item.get("label", "")),
))
return lines
# ---- front end -------------------------------------------------------------
@app.get("/")
def index():
index_file = STATIC_DIR / "index.html"
if not index_file.exists():
raise HTTPException(status_code=500, detail="Front end assets missing")
return FileResponse(index_file)
if STATIC_DIR.exists():
app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
@app.exception_handler(Exception)
async def unhandled(request, exc): # pragma: no cover - safety net
logger.exception("Unhandled error on %s", request.url.path)
return JSONResponse(status_code=500, content={"detail": str(exc)})
# ---- entry point -----------------------------------------------------------
# Our CLI speaks `logger_setup`'s vocabulary (ERROR/WARN/INFO/DEBUG/TRACE);
# uvicorn only accepts its own names. Translate rather than passing through —
# `--log-level WARN` used to die with KeyError: 'warn'.
_UVICORN_LEVEL = {
"ERROR": "error",
"WARN": "warning",
"INFO": "info",
"DEBUG": "debug",
"TRACE": "debug",
}
def main() -> None:
import uvicorn
parser = argparse.ArgumentParser(
prog="ujm-web",
description="Mastering analysis toolkit — web front end",
)
parser.add_argument("--host", default="127.0.0.1",
help="interface to bind (default: %(default)s — loopback)")
parser.add_argument("--port", type=int, default=8000)
parser.add_argument("--open", action="store_true",
help="open the UI in a browser on startup")
parser.add_argument("--reload", action="store_true", help="auto-reload on edits")
parser.add_argument("--log-level", "-l", default="INFO",
choices=["ERROR", "WARN", "INFO", "DEBUG", "TRACE"])
parser.add_argument("--log-file", action="store_true",
help="also write audio_analysis.log")
args = parser.parse_args()
setup_logging(level=args.log_level, log_to_file=args.log_file)
url = f"http://{args.host if args.host != '0.0.0.0' else '127.0.0.1'}:{args.port}"
logger.info("Web UI at %s", url)
logger.info("Audio is stored in the browser (OPFS); "
"uploads are spooled to temp and deleted after each request")
if args.open:
import threading
import webbrowser
threading.Timer(1.0, lambda: webbrowser.open(url)).start()
uvicorn.run("webapp:app", host=args.host, port=args.port, reload=args.reload,
log_level=_UVICORN_LEVEL[args.log_level])
if __name__ == "__main__":
main()