Drop family framing from anki-progress; add anki-deck-*.py tools

anki-progress.sh and its embedded app.py assumed a family/kids use case
(dashboard title, ntfy topic default, Authelia warning text, comments)
that was never actually stated — nothing in this repo should assume who
the accounts belong to. Retitled to plain "Anki Progress" throughout,
default ntfy topic changed from family-anki to anki-progress, and every
"family member" reference reworded to "account".

Also adds tools/anki-deck-math.py, tools/anki-deck-periodic.py, and
tools/anki-deck-visual.py — the Anki deck-generation scripts developed
earlier in this session, now committed as standalone, self-documented
tools (same tools/*.{sh,py} convention as tools/dedupe-finder.py) rather
than living only in chat. Each script's own header docstring carries the
full one-time setup (venv, genanki + piper-tts, downloading a voice) and
usage — anki-deck-periodic.py and anki-deck-visual.py point back to
anki-deck-math.py's copy rather than repeating it three times. Content is
generic (multiplication/division/addition/subtraction/fractions/decimals,
the periodic table, shapes/clocks/coin-counting) — nothing here assumes
who's using it or why.

Re-verified after the rename: the embedded app.py still passes its full
logic test suite once written out by the installer, and all three
tools/anki-deck-*.py scripts still build correct decks under
--dry-run-tts after their docstrings were rewritten.

Adds a README.md section pointing at the three scripts, and updates the
anki-progress Services table entry to drop "family" from its wording.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014DyceEVVeQ33EeS6C1PDv5
This commit is contained in:
Claude
2026-09-09 19:34:48 +00:00
parent 9c7a054d97
commit 102b0405b4
5 changed files with 1248 additions and 13 deletions
+23 -1
View File
@@ -186,7 +186,7 @@ a ready-to-copy Caddy config snippet to `~/docker/caddy-snippets/`.
|-------|---------|
| `base` | `net-tools`, `ncdu`, `git`, `curl`, `wget`, `htop`, `tree`, `zip`/`unzip`, `ca-certificates`, `gnupg`, `jq`, `rsync`; `glow` (terminal markdown reader, Charm apt repo); Docker CE + Compose plugin; `openssh-server` with GitHub/Launchpad SSH key import, optional password-auth lockdown, and SSH Host aliases; optional NetBird overlay network |
| `homelab` | `caddy`, `crowdsec`, `authelia`, `homeassistant`, `asterisk` (own dedicated coturn for TURN/STUN — see `mattermost` below for the other coturn-owning service), `pstn-trunk`, `sms-inbound`, `security-dashboard`, `sunshine`, `vpn-data-mount` (mount existing SMB shares from a NetBird-connected home box — SSH trust bootstrap, then read-only discovery of shares already configured there; never writes to the home box's Samba config; repeatable, pick from any number of a home box's shares in one pass; optional per-share [gocryptfs decrypt layer](#client-side-encryption-for-vpn-data-mount) so the VPS only ever handles ciphertext) |
| `utilities` | `actualbudget`, `ai-gpu`, `ai-stack`, `anki-progress` (read-only family study-progress dashboard for an `anki-sync-server` instance — reviews/accuracy/streak per account, plus an ntfy notification once a study session has been going for a configurable number of minutes; reads collection files with SQLite's read-only mode so it can't interfere with the live sync server), `anki-sync-server` (self-hosted sync backend for the Anki flashcard app — spaced-repetition scheduling stays in the Anki client, this just syncs collections across devices without AnkiWeb; supports multiple independent accounts per instance), `archivebox`, `beszel` (lightweight server + Docker monitoring — CPU/RAM/disk/network, auto-discovers running containers via the Docker socket; complements Gatus rather than replacing it — Gatus is a black-box HTTP check, Beszel is white-box host/process monitoring), `beszel-agent` (agent-only Beszel install for a remote/homelab box reporting to a hub elsewhere — connects outbound over HTTPS, no VPN/port-forwarding/FQDN needed on that box), `changedetection`, `ddclient`, `filebrowser`, `fmd`, `garage` (self-hosted S3-compatible object storage, single node — MinIO CE's actively-maintained replacement), `garage-webui` (browser-based bucket/object browser for an existing `garage` install — folders/files view, the same kind of thing Backblaze's own web console gives you), `gatus`, `gitea` (self-hosted Git server — raw local clones plus optional two-way GitHub mirror sync, standalone from the `ai-stack` bundle's own Gitea container), `homebox`, `iopaint`, `joplin`, `koha`, `magicmirror`, `mail-archiver`, `mattermost`, `mealie`, `meshcentral`, `n8n`, `nextcloud`, `ntfy`, `onlyoffice`, `paintplus`, `pihole` (standalone DNS ad/tracker blocking — not wired into any VPN's DNS push), `portainer`, `pressbooks` (self-hosted book platform — WordPress Multisite, drag-and-drop chapter editing, PDF export via PrinceXML/DocRaptor, Authelia-gated), `rustdesk`, `samba` (SMB/CIFS file sharing — shares, dedicated Samba users/passwords, LAN-scoped firewall by default; also offered as an optional nudge from `base`), `stirling-pdf`, `syncthing`, `traccar`, `unifi`, `uptimekuma`, `vaultwarden`, `watchyourlan`, `watchtower`, `wg-easy`, `wordpress` (multi-site, dedicated MariaDB per site — blogs, business sites, e-commerce via WooCommerce) |
| `utilities` | `actualbudget`, `ai-gpu`, `ai-stack`, `anki-progress` (read-only study-progress dashboard for an `anki-sync-server` instance — reviews/accuracy/streak per account, plus an ntfy notification once a study session has been going for a configurable number of minutes; reads collection files with SQLite's read-only mode so it can't interfere with the live sync server), `anki-sync-server` (self-hosted sync backend for the Anki flashcard app — spaced-repetition scheduling stays in the Anki client, this just syncs collections across devices without AnkiWeb; supports multiple independent accounts per instance), `archivebox`, `beszel` (lightweight server + Docker monitoring — CPU/RAM/disk/network, auto-discovers running containers via the Docker socket; complements Gatus rather than replacing it — Gatus is a black-box HTTP check, Beszel is white-box host/process monitoring), `beszel-agent` (agent-only Beszel install for a remote/homelab box reporting to a hub elsewhere — connects outbound over HTTPS, no VPN/port-forwarding/FQDN needed on that box), `changedetection`, `ddclient`, `filebrowser`, `fmd`, `garage` (self-hosted S3-compatible object storage, single node — MinIO CE's actively-maintained replacement), `garage-webui` (browser-based bucket/object browser for an existing `garage` install — folders/files view, the same kind of thing Backblaze's own web console gives you), `gatus`, `gitea` (self-hosted Git server — raw local clones plus optional two-way GitHub mirror sync, standalone from the `ai-stack` bundle's own Gitea container), `homebox`, `iopaint`, `joplin`, `koha`, `magicmirror`, `mail-archiver`, `mattermost`, `mealie`, `meshcentral`, `n8n`, `nextcloud`, `ntfy`, `onlyoffice`, `paintplus`, `pihole` (standalone DNS ad/tracker blocking — not wired into any VPN's DNS push), `portainer`, `pressbooks` (self-hosted book platform — WordPress Multisite, drag-and-drop chapter editing, PDF export via PrinceXML/DocRaptor, Authelia-gated), `rustdesk`, `samba` (SMB/CIFS file sharing — shares, dedicated Samba users/passwords, LAN-scoped firewall by default; also offered as an optional nudge from `base`), `stirling-pdf`, `syncthing`, `traccar`, `unifi`, `uptimekuma`, `vaultwarden`, `watchyourlan`, `watchtower`, `wg-easy`, `wordpress` (multi-site, dedicated MariaDB per site — blogs, business sites, e-commerce via WooCommerce) |
| `media` | `arm`, `audiobookshelf`, `calibre-web`, `emby`, `immich`, `jellyfin`, `lyrion` |
| `cameras` | `frigate`, `frigate-audio`, `frigate-notify`, `sky-cam` |
| `gaming` | `drum-rhythm-game`, `js99er`, `kyber-launcher`, `kyber-server`, `minecraft`, `wolf`, `wolf-pair` |
@@ -293,6 +293,28 @@ backup
</details>
## Generating Anki decks (tools/anki-deck-*.py)
`anki-sync-server` gives you a self-hosted sync backend, but a fresh
account has no content — `tools/anki-deck-math.py`,
`tools/anki-deck-periodic.py`, and `tools/anki-deck-visual.py` generate
ready-to-import `.apkg` decks (multiplication/division/addition/
subtraction/fractions/decimals, the periodic table, and shapes/clocks/
coin-counting) with Anki's built-in type-the-answer input and offline
neural TTS audio (Piper) on every card. All three are standalone Python
scripts, unrelated to the `services/*.sh` installer framework — run them
on any machine with Python, not necessarily the server itself. Full setup
(a venv, `genanki` + `piper-tts`, downloading a voice) and every deck's
exact usage is documented in `tools/anki-deck-math.py`'s own header
docstring; the other two scripts point back to it rather than repeating
the same instructions three times.
Shapes, clocks, and coin images are drawn programmatically (SVG) rather
than AI-generated — image generation is a poor fit for content that has
to be exactly correct (an exact clock time, an exact side count), not
just plausible-looking; see `tools/anki-deck-visual.py`'s own docstring
for more on that tradeoff.
## Layout
```
+12 -12
View File
@@ -1,5 +1,5 @@
#!/bin/bash
# services/anki-progress.sh — Family Anki study-progress dashboard + ntfy
# services/anki-progress.sh — Anki study-progress dashboard + ntfy
# "started studying" notifications. Reads an anki-sync-server instance's
# data directly (read-only) — see services/anki-sync-server.sh, which this
# service requires.
@@ -208,7 +208,7 @@ CBLOCK
fi
# ─────────────────────────────────────────────────────────────────────────────
register_service anki-progress utilities "Family Anki study-progress dashboard + ntfy 'started studying' notifications (reads an anki-sync-server instance's data read-only)" 8099
register_service anki-progress utilities "Anki study-progress dashboard + ntfy 'started studying' notifications (reads an anki-sync-server instance's data read-only)" 8099
install_anki-progress() {
require_docker || return 1
@@ -323,7 +323,7 @@ install_anki-progress() {
else
prompt_text " ntfy server URL (e.g. https://ntfy.yourdomain.com, or https://ntfy.sh):" "https://ntfy.sh" NTFY_URL
fi
prompt_text " ntfy topic to publish 'started studying' notifications to:" "family-anki" NTFY_TOPIC
prompt_text " ntfy topic to publish 'started studying' notifications to:" "anki-progress" NTFY_TOPIC
local SESSION_GAP_MINUTES="" NOTIFY_DELAY_MINUTES=""
prompt_text " Minutes of inactivity that counts as a new study session starting:" "30" SESSION_GAP_MINUTES
@@ -356,7 +356,7 @@ networks:
backup_if_exists app.py
cat > app.py << 'PYEOF'
#!/usr/bin/env python3
"""Family Anki progress dashboard + ntfy "started studying" notifications.
"""Anki study-progress dashboard + ntfy "started studying" notifications.
Reads every account's collection.anki2 directly (READ-ONLY — never opens for
write, so it can't corrupt live data the sync server or a client is using)
@@ -387,7 +387,7 @@ import requests
from flask import Flask, render_template_string
NTFY_URL = os.environ.get("NTFY_URL", "https://ntfy.example.com")
NTFY_TOPIC = os.environ.get("NTFY_TOPIC", "family-anki")
NTFY_TOPIC = os.environ.get("NTFY_TOPIC", "anki-progress")
SESSION_GAP_MINUTES = int(os.environ.get("SESSION_GAP_MINUTES", 30))
NOTIFY_DELAY_MINUTES = int(os.environ.get("NOTIFY_DELAY_MINUTES", 10))
@@ -502,7 +502,7 @@ def detect_current_session_start(revlog_rows, now_ms):
DASHBOARD_TEMPLATE = """
<!doctype html>
<title>Family Anki Progress</title>
<title>Anki Progress</title>
<meta http-equiv="refresh" content="60">
<style>
body { font-family: Arial, sans-serif; background: #f4f6f8; margin: 0; padding: 24px; }
@@ -514,7 +514,7 @@ DASHBOARD_TEMPLATE = """
.stat b { color: #1c4587; }
.empty { color: #888; font-style: italic; }
</style>
<h1>Family Anki Progress</h1>
<h1>Anki Progress</h1>
<div class="grid">
{% for user, s in stats.items() %}
<div class="card">
@@ -667,8 +667,8 @@ ENVEOF
fi
# ── Caddy + Authelia-aware protection ────────────────────────────────────
# This dashboard shows every family member's personal study activity —
# same "sensitive, protect by default" reasoning as
# This dashboard shows every account's personal study activity — same
# "sensitive, protect by default" reasoning as
# services/security-dashboard.sh: auto-use local Authelia if present, no
# prompt needed; otherwise warn clearly and offer a remote instance,
# since leaving it open is a real privacy tradeoff, not a neutral default.
@@ -677,9 +677,9 @@ ENVEOF
EXTRA_BLOCK=" import authelia"
log_info "Local Authelia detected — protecting with it."
else
log_warning "No local Authelia found. This dashboard shows every family"
log_warning "member's personal study activity — recommend protecting it"
log_warning "before exposing it publicly."
log_warning "No local Authelia found. This dashboard shows every account's"
log_warning "personal study activity — recommend protecting it before"
log_warning "exposing it publicly."
local _use_remote=""
prompt_yn " Protect with a remote Authelia instance (e.g. on a homelab)? (y/n):" "y" _use_remote
if [[ "$_use_remote" =~ ^[Yy]$ ]]; then
+420
View File
@@ -0,0 +1,420 @@
#!/usr/bin/env python3
"""tools/anki-deck-math.py — Generate math-fact Anki decks (.apkg) with a
vertical/stacked problem layout, Anki's built-in type-the-answer input, and
Piper (offline, local neural TTS) audio on both the question and answer
side of every card.
Standalone content-generation tool, unrelated to this repo's services/*.sh
installers — run it on any machine with Python (your desktop, laptop, or
the same box running services/anki-sync-server.sh), then import the
resulting .apkg into Anki (File -> Import) or push it into a sync-server
account with AnkiConnect's importPackage action. See services/anki-sync-server.sh
and services/anki-progress.sh for the actual self-hosted sync backend and
progress dashboard this content is meant to be studied through.
Decks:
multiplication 1-12, all 144 ordered pairs (a x b), shuffled
(not sequential — see the note near
random.shuffle(pairs) below for why)
division inverse of the multiplication deck (144 facts)
addsub --lo L --hi H addition + subtraction fact family for [L, H]
(subtraction facts derived from the addition
facts, e.g. 7+3=10 also gives 10-7=3 and
10-3=7 — never negative results)
fractions reducing fractions to lowest terms (denominators 2-12)
decimals fraction -> decimal conversion (only denominators
whose decimal expansion terminates: 2,4,5,8,10,20,25)
Setup (one time):
python3 -m venv ~/anki-deck-venv
source ~/anki-deck-venv/bin/activate
pip install genanki piper-tts
# Download at least one voice (one time per voice you want to try —
# download_voices saves into the CURRENT directory by default, so cd
# somewhere sensible first, e.g. your home directory):
python3 -m piper.download_voices en_US-lessac-medium
# Other options: en_US-amy-medium (warm/friendly), en_US-ryan-high
# (best-quality US male), en_US-libritts_r-medium (multi-speaker),
# en_GB-alba-medium / en_GB-cori-high (British accent). Tiers are
# low < medium < high — higher sounds more natural but is bigger/slower.
# Sanity-check the voice before generating a full deck's worth of clips:
echo "three times seven" | python3 -m piper -m en_US-lessac-medium.onnx -f /tmp/test.wav
# play /tmp/test.wav and confirm it sounds right first.
Usage (run with the venv activated):
python3 anki-deck-math.py --deck multiplication
python3 anki-deck-math.py --deck division
python3 anki-deck-math.py --deck addsub --lo 3 --hi 7
python3 anki-deck-math.py --deck addsub --lo 3 --hi 13
python3 anki-deck-math.py --deck addsub --lo 2 --hi 21
python3 anki-deck-math.py --deck fractions
python3 anki-deck-math.py --deck decimals
(add --voice en_US-amy-medium etc. to any of the above to use a voice other
than the default en_US-lessac-medium; --model-path to point at a voice
file directly if it's not found in any of the usual places checked
automatically; --dry-run-tts to test the deck-building logic itself
without Piper or any voice model at all, using silent placeholder audio)
The addsub --hi 21 deck generates ~1600 audio clips and will take noticeably
longer than the others — consider `nohup python3 anki-deck-math.py --deck
addsub --lo 2 --hi 21 > addsub.log 2>&1 &` if you don't want to wait on it.
"""
import argparse
import hashlib
import genanki
import math
import os
import random
import subprocess
parser = argparse.ArgumentParser()
parser.add_argument("--deck", required=True,
choices=["multiplication", "division", "addsub", "fractions", "decimals"])
parser.add_argument("--lo", type=int, default=None, help="addsub only: low end of range")
parser.add_argument("--hi", type=int, default=None, help="addsub only: high end of range")
parser.add_argument("--voice", default="en_US-lessac-medium")
parser.add_argument("--model-path", default=None)
parser.add_argument("--dry-run-tts", action="store_true",
help="Skip Piper entirely and write silent placeholder audio instead"
" (for testing the deck-building logic without a voice model).")
args = parser.parse_args()
if args.deck == "addsub":
if args.lo is None or args.hi is None:
raise SystemExit("--deck addsub requires --lo and --hi, e.g. --lo 3 --hi 7")
if args.lo >= args.hi:
raise SystemExit("--lo must be less than --hi")
SCRATCH = os.path.dirname(os.path.abspath(__file__))
# ─── Voice resolution (same search order as the multiplication script) ──────
_CANDIDATES = [
args.model_path,
f"{args.voice}.onnx",
os.path.join(SCRATCH, f"{args.voice}.onnx"),
os.path.expanduser(f"~/{args.voice}.onnx"),
os.path.expanduser(f"~/.local/share/piper/voices/{args.voice}.onnx"),
]
VOICE_MODEL = next((p for p in _CANDIDATES if p and os.path.isfile(p)), None)
if VOICE_MODEL is None and not args.dry_run_tts:
raise SystemExit(
f"Voice model for '{args.voice}' not found. Checked:\n"
+ "\n".join(f" {p}" for p in _CANDIDATES if p)
+ f"\n\nFind it with: find / -iname '{args.voice}.onnx' 2>/dev/null"
+ "\nThen pass its exact path with --model-path /the/real/path.onnx"
+ "\n(or pass --dry-run-tts to test deck-building without any voice at all)"
)
def piper_tts(text: str, out_path: str) -> None:
if args.dry_run_tts:
# 44-byte minimal valid WAV header, zero samples — enough for genanki
# to accept it as a real media file without needing Piper installed.
with open(out_path, "wb") as f:
f.write(
b"RIFF$\x00\x00\x00WAVEfmt \x10\x00\x00\x00\x01\x00\x01\x00"
b"\x22\x56\x00\x00\x44\xac\x00\x00\x02\x00\x10\x00data\x00\x00\x00\x00"
)
return
subprocess.run(
["python3", "-m", "piper", "-m", VOICE_MODEL, "-f", out_path],
input=text.encode("utf-8"),
check=True,
capture_output=True,
)
# ─── Number -> words ─────────────────────────────────────────────────────────
ONES = ["zero", "one", "two", "three", "four", "five", "six", "seven",
"eight", "nine", "ten", "eleven", "twelve", "thirteen", "fourteen",
"fifteen", "sixteen", "seventeen", "eighteen", "nineteen"]
TENS = ["", "", "twenty", "thirty", "forty", "fifty", "sixty", "seventy",
"eighty", "ninety"]
def num2words(n):
if n < 0:
return "negative " + num2words(-n)
if n < 20:
return ONES[n]
if n < 100:
t, o = divmod(n, 10)
return TENS[t] + ("-" + ONES[o] if o else "")
h, rem = divmod(n, 100)
return ONES[h] + " hundred" + (" " + num2words(rem) if rem else "")
_NUM_CHECKS = {0: "zero", 9: "nine", 10: "ten", 13: "thirteen", 20: "twenty",
21: "twenty-one", 45: "forty-five", 99: "ninety-nine",
100: "one hundred", 110: "one hundred ten",
121: "one hundred twenty-one", 144: "one hundred forty-four",
441: "four hundred forty-one"}
for _n, _w in _NUM_CHECKS.items():
assert num2words(_n) == _w, f"num2words({_n}) = {num2words(_n)!r}, expected {_w!r}"
# Ordinal words, singular form, denominators 2-21 (covers every deck below).
# Irregular forms (half, third, fifth, eighth, ninth, twelfth) are real
# English irregularities, not a suffix rule, so this is a lookup table, not
# a formula — a formula would get exactly these wrong.
ORDINAL_SINGULAR = {
2: "half", 3: "third", 4: "fourth", 5: "fifth", 6: "sixth",
7: "seventh", 8: "eighth", 9: "ninth", 10: "tenth", 11: "eleventh",
12: "twelfth", 13: "thirteenth", 14: "fourteenth", 15: "fifteenth",
16: "sixteenth", 17: "seventeenth", 18: "eighteenth", 19: "nineteenth",
20: "twentieth", 21: "twenty-first", 25: "twenty-fifth", 50: "fiftieth",
100: "hundredth",
}
def ordinal_plural(n):
s = ORDINAL_SINGULAR[n]
return "halves" if s == "half" else s + "s"
def fraction_words(num, den):
"""'three fourths', 'one half', 'seven tenths'."""
ord_word = ORDINAL_SINGULAR[den] if num == 1 else ordinal_plural(den)
return f"{num2words(num)} {ord_word}"
_FRAC_CHECKS = {
(1, 2): "one half", (3, 4): "three fourths", (1, 4): "one fourth",
(7, 10): "seven tenths", (1, 3): "one third", (2, 3): "two thirds",
(5, 8): "five eighths", (1, 8): "one eighth",
}
for (_n, _d), _w in _FRAC_CHECKS.items():
assert fraction_words(_n, _d) == _w, f"fraction_words({_n},{_d}) = {fraction_words(_n, _d)!r}, expected {_w!r}"
def decimal_words(decimal_str):
"""'0.25' -> 'zero point two five' (each digit spoken individually,
avoids any ambiguity between e.g. 'point two five' vs 'twenty-five
hundredths')."""
whole, frac = decimal_str.split(".")
digit_words = " ".join(ONES[int(d)] for d in frac)
return f"{num2words(int(whole))} point {digit_words}"
assert decimal_words("0.25") == "zero point two five"
assert decimal_words("0.5") == "zero point five"
assert decimal_words("0.375") == "zero point three seven five"
# ─── Shared genanki model builder ────────────────────────────────────────────
# Every deck here renders as two stacked lines with a line under them (same
# visual language as the original multiplication deck): TOP over BOTTOM,
# with an optional prefix (operator) on the bottom line. Fractions/decimals
# reuse the exact same layout as numerator-over-denominator.
def build_model(deck_key):
voice_hash = int(hashlib.sha256(f"{deck_key}:{args.voice}".encode()).hexdigest(), 16)
model_id = 1_600_000_000 + (voice_hash % 90_000_000)
return model_id, genanki.Model(
model_id,
f"Math Fact ({deck_key}, {args.voice})",
fields=[{"name": "Top"}, {"name": "Bottom"}, {"name": "Answer"},
{"name": "QSound"}, {"name": "ASound"}],
templates=[{
"name": "Card",
"qfmt": """
<div class="problem">
<div class="line1">{{Top}}</div>
<div class="line2">{{Bottom}}</div>
<div class="rule"></div>
</div>
{{QSound}}
{{type:Answer}}
""",
"afmt": """
<div class="problem">
<div class="line1">{{Top}}</div>
<div class="line2">{{Bottom}}</div>
<div class="rule"></div>
</div>
<hr id="answer">
{{type:Answer}}
{{ASound}}
""",
}],
css="""
.card { font-family: Arial, sans-serif; font-size: 28px; text-align: center; }
.problem { display: inline-block; text-align: right; margin: 20px auto; }
.line1, .line2 { font-size: 48px; padding: 2px 10px; }
.rule { border-top: 3px solid black; margin-top: 4px; width: 100%; }
""",
)
def build_deck(deck_key, deck_title):
voice_hash = int(hashlib.sha256(f"{deck_key}:{args.voice}".encode()).hexdigest(), 16)
deck_id = 2_000_000_000 + (voice_hash % 90_000_000)
return genanki.Deck(deck_id, deck_title)
def add_note(deck, model, top, bottom, answer, qtext, atext, media_files, tag):
qfile = f"q_{tag}.wav"
afile = f"a_{tag}.wav"
qpath = os.path.join(MEDIA_DIR, qfile)
apath = os.path.join(MEDIA_DIR, afile)
piper_tts(qtext, qpath)
piper_tts(atext, apath)
media_files += [qpath, apath]
deck.add_note(genanki.Note(
model=model,
fields=[top, bottom, answer, f"[sound:{qfile}]", f"[sound:{afile}]"],
))
# ─── Per-deck generators ─────────────────────────────────────────────────────
def gen_multiplication():
deck_key = "multiplication"
model_id, model = build_model(deck_key)
deck = build_deck(deck_key, "Multiplication Facts (1-12)")
media_files = []
pairs = [(a, b) for a in range(1, 13) for b in range(1, 13)]
random.seed(42)
random.shuffle(pairs)
for a, b in pairs:
ans = a * b
add_note(deck, model, str(a), f"&times; {b}", str(ans),
f"{num2words(a)} times {num2words(b)}", num2words(ans),
media_files, f"mul_{a}_{b}")
return deck, media_files, len(pairs)
def gen_division():
deck_key = "division"
model_id, model = build_model(deck_key)
deck = build_deck(deck_key, "Division Facts (inverse of 1-12 times tables)")
media_files = []
# Same (a, b) pairs as multiplication: product / a = b. This is the
# direct inverse of every multiplication card in that deck.
pairs = [(a, b) for a in range(1, 13) for b in range(1, 13)]
random.seed(43)
random.shuffle(pairs)
for a, b in pairs:
product = a * b
add_note(deck, model, str(product), f"&divide; {a}", str(b),
f"{num2words(product)} divided by {num2words(a)}", num2words(b),
media_files, f"div_{a}_{b}")
return deck, media_files, len(pairs)
def gen_addsub(lo, hi):
deck_key = f"addsub_{lo}_{hi}"
model_id, model = build_model(deck_key)
deck = build_deck(deck_key, f"Addition & Subtraction Facts ({lo}-{hi})")
media_files = []
add_pairs = [(a, b) for a in range(lo, hi + 1) for b in range(lo, hi + 1)]
random.seed(hash((lo, hi)) & 0xFFFFFFFF)
random.shuffle(add_pairs)
sub_facts = [] # (minuend, subtrahend, answer)
seen = set()
for a, b in add_pairs:
c = a + b
for minuend, subtrahend, answer in ((c, a, b), (c, b, a)):
key = (minuend, subtrahend)
if key not in seen:
seen.add(key)
sub_facts.append((minuend, subtrahend, answer))
random.shuffle(sub_facts)
count = 0
for a, b in add_pairs:
ans = a + b
add_note(deck, model, str(a), f"+ {b}", str(ans),
f"{num2words(a)} plus {num2words(b)}", num2words(ans),
media_files, f"add_{lo}_{hi}_{a}_{b}")
count += 1
for minuend, subtrahend, answer in sub_facts:
add_note(deck, model, str(minuend), f"&minus; {subtrahend}", str(answer),
f"{num2words(minuend)} minus {num2words(subtrahend)}", num2words(answer),
media_files, f"sub_{lo}_{hi}_{minuend}_{subtrahend}")
count += 1
return deck, media_files, count
def gen_fractions():
deck_key = "fractions"
model_id, model = build_model(deck_key)
deck = build_deck(deck_key, "Reducing Fractions to Lowest Terms")
media_files = []
facts = []
for den in range(2, 13):
for num in range(1, den):
g = math.gcd(num, den)
if g > 1:
facts.append((num, den, num // g, den // g))
random.seed(44)
random.shuffle(facts)
for num, den, rnum, rden in facts:
answer = f"{rnum}/{rden}"
add_note(deck, model, str(num), f"&frasl; {den}", answer,
fraction_words(num, den), fraction_words(rnum, rden),
media_files, f"frac_{num}_{den}")
return deck, media_files, len(facts)
def gen_decimals():
deck_key = "decimals"
model_id, model = build_model(deck_key)
deck = build_deck(deck_key, "Fraction to Decimal Conversion")
media_files = []
# Only denominators whose only prime factors are 2 and 5 terminate in a
# finite decimal (1/3 = 0.333... never terminates) — restricting to
# these avoids ever needing to round/repeat.
facts = []
for den in (2, 4, 5, 8, 10, 20, 25):
for num in range(1, den):
if math.gcd(num, den) != 1:
continue # skip non-lowest-terms fractions (already covered by the fractions deck)
value = num / den
decimal_str = f"{value:.10f}".rstrip("0")
if decimal_str.endswith("."):
decimal_str += "0"
facts.append((num, den, decimal_str))
random.seed(45)
random.shuffle(facts)
for num, den, decimal_str in facts:
add_note(deck, model, str(num), f"&frasl; {den}", decimal_str,
fraction_words(num, den), decimal_words(decimal_str),
media_files, f"dec_{num}_{den}")
return deck, media_files, len(facts)
# ─── Dispatch ─────────────────────────────────────────────────────────────────
if args.deck == "addsub":
deck_key = f"addsub_{args.lo}_{args.hi}"
else:
deck_key = args.deck
MEDIA_DIR = os.path.join(SCRATCH, f"media_{deck_key}_{args.voice}")
os.makedirs(MEDIA_DIR, exist_ok=True)
GENERATORS = {
"multiplication": lambda: gen_multiplication(),
"division": lambda: gen_division(),
"addsub": lambda: gen_addsub(args.lo, args.hi),
"fractions": lambda: gen_fractions(),
"decimals": lambda: gen_decimals(),
}
deck, media_files, count = GENERATORS[args.deck]()
if count == 0:
raise SystemExit(f"No cards generated for --deck {args.deck} — check the range/args.")
package = genanki.Package(deck)
package.media_files = media_files
out_path = os.path.join(SCRATCH, f"{deck_key}_{args.voice}.apkg")
package.write_to_file(out_path)
size_mb = os.path.getsize(out_path) / (1024 * 1024)
print(f"\nDone: {out_path} ({size_mb:.1f} MB, {count} cards, {len(media_files)} audio clips)")
+385
View File
@@ -0,0 +1,385 @@
#!/usr/bin/env python3
"""tools/anki-deck-periodic.py — Generate periodic table Anki decks (.apkg)
with Anki's built-in type-the-answer input and Piper (offline, local
neural TTS) audio on both sides. See tools/anki-deck-math.py's docstring
for one-time setup (venv, genanki + piper-tts, downloading a voice) — same
steps apply here, this is a standalone, self-contained script otherwise.
Decks:
prehs symbol<->name, elements 1-36 (H through Kr)
hs symbol<->name plus number->symbol, all 118 elements
category element category as multiple choice (A/B/C/D shown as
plain text options — not a clickable UI, since that needs
a desktop-only Anki add-on and would break on
AnkiDroid/AnkiMobile), type the letter — only elements
with a confirmed category (excludes 8 very recent
superheavy elements whose category is still officially
unconfirmed)
Element data: Bowserinator/Periodic-Table-JSON (a widely used, actively
maintained public dataset), fetched and spot-checked against known facts
before being embedded below — not typed from memory.
Usage (run with the venv from anki-deck-math.py's docstring activated):
python3 anki-deck-periodic.py --deck prehs
python3 anki-deck-periodic.py --deck hs
python3 anki-deck-periodic.py --deck category
(add --voice en_US-amy-medium etc.; --model-path if a voice isn't found
automatically; --dry-run-tts to test the deck-building logic without any
voice model at all, using silent placeholder audio)
"""
import argparse
import hashlib
import genanki
import os
import random
import subprocess
parser = argparse.ArgumentParser()
parser.add_argument("--deck", required=True, choices=["prehs", "hs", "category"])
parser.add_argument("--voice", default="en_US-lessac-medium")
parser.add_argument("--model-path", default=None)
parser.add_argument("--dry-run-tts", action="store_true")
args = parser.parse_args()
SCRATCH = os.path.dirname(os.path.abspath(__file__))
_CANDIDATES = [
args.model_path,
f"{args.voice}.onnx",
os.path.join(SCRATCH, f"{args.voice}.onnx"),
os.path.expanduser(f"~/{args.voice}.onnx"),
os.path.expanduser(f"~/.local/share/piper/voices/{args.voice}.onnx"),
]
VOICE_MODEL = next((p for p in _CANDIDATES if p and os.path.isfile(p)), None)
if VOICE_MODEL is None and not args.dry_run_tts:
raise SystemExit(
f"Voice model for '{args.voice}' not found. Checked:\n"
+ "\n".join(f" {p}" for p in _CANDIDATES if p)
+ f"\n\nFind it with: find / -iname '{args.voice}.onnx' 2>/dev/null"
+ "\nThen pass its exact path with --model-path /the/real/path.onnx"
+ "\n(or pass --dry-run-tts to test deck-building without any voice at all)"
)
def piper_tts(text: str, out_path: str) -> None:
if args.dry_run_tts:
with open(out_path, "wb") as f:
f.write(
b"RIFF$\x00\x00\x00WAVEfmt \x10\x00\x00\x00\x01\x00\x01\x00"
b"\x22\x56\x00\x00\x44\xac\x00\x00\x02\x00\x10\x00data\x00\x00\x00\x00"
)
return
subprocess.run(
["python3", "-m", "piper", "-m", VOICE_MODEL, "-f", out_path],
input=text.encode("utf-8"),
check=True,
capture_output=True,
)
ONES = ["zero", "one", "two", "three", "four", "five", "six", "seven",
"eight", "nine", "ten", "eleven", "twelve", "thirteen", "fourteen",
"fifteen", "sixteen", "seventeen", "eighteen", "nineteen"]
TENS = ["", "", "twenty", "thirty", "forty", "fifty", "sixty", "seventy",
"eighty", "ninety"]
def num2words(n):
if n < 20:
return ONES[n]
if n < 100:
t, o = divmod(n, 10)
return TENS[t] + ("-" + ONES[o] if o else "")
h, rem = divmod(n, 100)
return ONES[h] + " hundred" + (" " + num2words(rem) if rem else "")
assert num2words(1) == "one"
assert num2words(26) == "twenty-six"
assert num2words(118) == "one hundred eighteen"
# ─── Element data: (atomic_number, symbol, name, category-or-None) ─────────
# category is None for the 8 most recently synthesized superheavy elements
# whose chemical category is still officially unconfirmed (excluded from
# the category deck below, still included in prehs/hs symbol/name/number).
ELEMENTS = [
(1, 'H', 'Hydrogen', 'diatomic nonmetal'),
(2, 'He', 'Helium', 'noble gas'),
(3, 'Li', 'Lithium', 'alkali metal'),
(4, 'Be', 'Beryllium', 'alkaline earth metal'),
(5, 'B', 'Boron', 'metalloid'),
(6, 'C', 'Carbon', 'polyatomic nonmetal'),
(7, 'N', 'Nitrogen', 'diatomic nonmetal'),
(8, 'O', 'Oxygen', 'diatomic nonmetal'),
(9, 'F', 'Fluorine', 'diatomic nonmetal'),
(10, 'Ne', 'Neon', 'noble gas'),
(11, 'Na', 'Sodium', 'alkali metal'),
(12, 'Mg', 'Magnesium', 'alkaline earth metal'),
(13, 'Al', 'Aluminium', 'post-transition metal'),
(14, 'Si', 'Silicon', 'metalloid'),
(15, 'P', 'Phosphorus', 'polyatomic nonmetal'),
(16, 'S', 'Sulfur', 'polyatomic nonmetal'),
(17, 'Cl', 'Chlorine', 'diatomic nonmetal'),
(18, 'Ar', 'Argon', 'noble gas'),
(19, 'K', 'Potassium', 'alkali metal'),
(20, 'Ca', 'Calcium', 'alkaline earth metal'),
(21, 'Sc', 'Scandium', 'transition metal'),
(22, 'Ti', 'Titanium', 'transition metal'),
(23, 'V', 'Vanadium', 'transition metal'),
(24, 'Cr', 'Chromium', 'transition metal'),
(25, 'Mn', 'Manganese', 'transition metal'),
(26, 'Fe', 'Iron', 'transition metal'),
(27, 'Co', 'Cobalt', 'transition metal'),
(28, 'Ni', 'Nickel', 'transition metal'),
(29, 'Cu', 'Copper', 'transition metal'),
(30, 'Zn', 'Zinc', 'transition metal'),
(31, 'Ga', 'Gallium', 'post-transition metal'),
(32, 'Ge', 'Germanium', 'metalloid'),
(33, 'As', 'Arsenic', 'metalloid'),
(34, 'Se', 'Selenium', 'polyatomic nonmetal'),
(35, 'Br', 'Bromine', 'diatomic nonmetal'),
(36, 'Kr', 'Krypton', 'noble gas'),
(37, 'Rb', 'Rubidium', 'alkali metal'),
(38, 'Sr', 'Strontium', 'alkaline earth metal'),
(39, 'Y', 'Yttrium', 'transition metal'),
(40, 'Zr', 'Zirconium', 'transition metal'),
(41, 'Nb', 'Niobium', 'transition metal'),
(42, 'Mo', 'Molybdenum', 'transition metal'),
(43, 'Tc', 'Technetium', 'transition metal'),
(44, 'Ru', 'Ruthenium', 'transition metal'),
(45, 'Rh', 'Rhodium', 'transition metal'),
(46, 'Pd', 'Palladium', 'transition metal'),
(47, 'Ag', 'Silver', 'transition metal'),
(48, 'Cd', 'Cadmium', 'transition metal'),
(49, 'In', 'Indium', 'post-transition metal'),
(50, 'Sn', 'Tin', 'post-transition metal'),
(51, 'Sb', 'Antimony', 'metalloid'),
(52, 'Te', 'Tellurium', 'metalloid'),
(53, 'I', 'Iodine', 'diatomic nonmetal'),
(54, 'Xe', 'Xenon', 'noble gas'),
(55, 'Cs', 'Cesium', 'alkali metal'),
(56, 'Ba', 'Barium', 'alkaline earth metal'),
(57, 'La', 'Lanthanum', 'lanthanide'),
(58, 'Ce', 'Cerium', 'lanthanide'),
(59, 'Pr', 'Praseodymium', 'lanthanide'),
(60, 'Nd', 'Neodymium', 'lanthanide'),
(61, 'Pm', 'Promethium', 'lanthanide'),
(62, 'Sm', 'Samarium', 'lanthanide'),
(63, 'Eu', 'Europium', 'lanthanide'),
(64, 'Gd', 'Gadolinium', 'lanthanide'),
(65, 'Tb', 'Terbium', 'lanthanide'),
(66, 'Dy', 'Dysprosium', 'lanthanide'),
(67, 'Ho', 'Holmium', 'lanthanide'),
(68, 'Er', 'Erbium', 'lanthanide'),
(69, 'Tm', 'Thulium', 'lanthanide'),
(70, 'Yb', 'Ytterbium', 'lanthanide'),
(71, 'Lu', 'Lutetium', 'lanthanide'),
(72, 'Hf', 'Hafnium', 'transition metal'),
(73, 'Ta', 'Tantalum', 'transition metal'),
(74, 'W', 'Tungsten', 'transition metal'),
(75, 'Re', 'Rhenium', 'transition metal'),
(76, 'Os', 'Osmium', 'transition metal'),
(77, 'Ir', 'Iridium', 'transition metal'),
(78, 'Pt', 'Platinum', 'transition metal'),
(79, 'Au', 'Gold', 'transition metal'),
(80, 'Hg', 'Mercury', 'transition metal'),
(81, 'Tl', 'Thallium', 'post-transition metal'),
(82, 'Pb', 'Lead', 'post-transition metal'),
(83, 'Bi', 'Bismuth', 'post-transition metal'),
(84, 'Po', 'Polonium', 'post-transition metal'),
(85, 'At', 'Astatine', 'diatomic nonmetal'),
(86, 'Rn', 'Radon', 'noble gas'),
(87, 'Fr', 'Francium', 'alkali metal'),
(88, 'Ra', 'Radium', 'alkaline earth metal'),
(89, 'Ac', 'Actinium', 'actinide'),
(90, 'Th', 'Thorium', 'actinide'),
(91, 'Pa', 'Protactinium', 'actinide'),
(92, 'U', 'Uranium', 'actinide'),
(93, 'Np', 'Neptunium', 'actinide'),
(94, 'Pu', 'Plutonium', 'actinide'),
(95, 'Am', 'Americium', 'actinide'),
(96, 'Cm', 'Curium', 'actinide'),
(97, 'Bk', 'Berkelium', 'actinide'),
(98, 'Cf', 'Californium', 'actinide'),
(99, 'Es', 'Einsteinium', 'actinide'),
(100, 'Fm', 'Fermium', 'actinide'),
(101, 'Md', 'Mendelevium', 'actinide'),
(102, 'No', 'Nobelium', 'actinide'),
(103, 'Lr', 'Lawrencium', 'actinide'),
(104, 'Rf', 'Rutherfordium', 'transition metal'),
(105, 'Db', 'Dubnium', 'transition metal'),
(106, 'Sg', 'Seaborgium', 'transition metal'),
(107, 'Bh', 'Bohrium', 'transition metal'),
(108, 'Hs', 'Hassium', 'transition metal'),
(109, 'Mt', 'Meitnerium', None),
(110, 'Ds', 'Darmstadtium', None),
(111, 'Rg', 'Roentgenium', None),
(112, 'Cn', 'Copernicium', None),
(113, 'Nh', 'Nihonium', 'post-transition metal'),
(114, 'Fl', 'Flerovium', 'post-transition metal'),
(115, 'Mc', 'Moscovium', None),
(116, 'Lv', 'Livermorium', None),
(117, 'Ts', 'Tennessine', None),
(118, 'Og', 'Oganesson', None),
]
assert len(ELEMENTS) == 118
assert [e[0] for e in ELEMENTS] == list(range(1, 119))
assert ELEMENTS[0] == (1, 'H', 'Hydrogen', 'diatomic nonmetal')
assert ELEMENTS[25] == (26, 'Fe', 'Iron', 'transition metal')
assert ELEMENTS[-1] == (118, 'Og', 'Oganesson', None)
ALL_CATEGORIES = sorted({e[3] for e in ELEMENTS if e[3] is not None})
def build_model(deck_key):
voice_hash = int(hashlib.sha256(f"{deck_key}:{args.voice}".encode()).hexdigest(), 16)
model_id = 1_700_000_000 + (voice_hash % 90_000_000)
return model_id, genanki.Model(
model_id,
f"Periodic Table ({deck_key}, {args.voice})",
fields=[{"name": "Prompt"}, {"name": "Answer"}, {"name": "QSound"}, {"name": "ASound"}],
templates=[{
"name": "Card",
"qfmt": """
<div class="prompt">{{Prompt}}</div>
{{QSound}}
{{type:Answer}}
""",
"afmt": """
<div class="prompt">{{Prompt}}</div>
<hr id="answer">
{{type:Answer}}
{{ASound}}
""",
}],
css="""
.card { font-family: Arial, sans-serif; font-size: 26px; text-align: center; }
.prompt { font-size: 40px; margin: 20px auto; white-space: pre-line; }
""",
)
def build_deck(deck_key, deck_title):
voice_hash = int(hashlib.sha256(f"{deck_key}:{args.voice}".encode()).hexdigest(), 16)
deck_id = 2_100_000_000 + (voice_hash % 90_000_000)
return genanki.Deck(deck_id, deck_title)
def add_note(deck, model, prompt, answer, qtext, atext, media_files, tag):
qfile = f"q_{tag}.wav"
afile = f"a_{tag}.wav"
qpath = os.path.join(MEDIA_DIR, qfile)
apath = os.path.join(MEDIA_DIR, afile)
piper_tts(qtext, qpath)
piper_tts(atext, apath)
media_files += [qpath, apath]
deck.add_note(genanki.Note(
model=model,
fields=[prompt, answer, f"[sound:{qfile}]", f"[sound:{afile}]"],
))
def gen_prehs():
deck_key = "periodic_prehs"
model_id, model = build_model(deck_key)
deck = build_deck(deck_key, "Periodic Table: Symbols & Names (1-36)")
media_files = []
subset = [e for e in ELEMENTS if e[0] <= 36]
cards = []
for number, symbol, name, category in subset:
cards.append(("symbol_to_name", number, symbol, name))
cards.append(("name_to_symbol", number, symbol, name))
random.seed(50)
random.shuffle(cards)
for kind, number, symbol, name in cards:
if kind == "symbol_to_name":
add_note(deck, model, symbol, name,
f"What element has the symbol {symbol}?", name,
media_files, f"prehs_s2n_{number}")
else:
add_note(deck, model, name, symbol,
f"What is the symbol for {name}?", symbol,
media_files, f"prehs_n2s_{number}")
return deck, media_files, len(cards)
def gen_hs():
deck_key = "periodic_hs"
model_id, model = build_model(deck_key)
deck = build_deck(deck_key, "Periodic Table: Symbols, Names & Numbers (1-118)")
media_files = []
cards = []
for number, symbol, name, category in ELEMENTS:
cards.append(("symbol_to_name", number, symbol, name))
cards.append(("name_to_symbol", number, symbol, name))
cards.append(("number_to_symbol", number, symbol, name))
random.seed(51)
random.shuffle(cards)
for kind, number, symbol, name in cards:
if kind == "symbol_to_name":
add_note(deck, model, symbol, name,
f"What element has the symbol {symbol}?", name,
media_files, f"hs_s2n_{number}")
elif kind == "name_to_symbol":
add_note(deck, model, name, symbol,
f"What is the symbol for {name}?", symbol,
media_files, f"hs_n2s_{number}")
else:
add_note(deck, model, f"Element #{number}", symbol,
f"What is the symbol for element number {num2words(number)}?", symbol,
media_files, f"hs_num2s_{number}")
return deck, media_files, len(cards)
def gen_category():
deck_key = "periodic_category"
model_id, model = build_model(deck_key)
deck = build_deck(deck_key, "Periodic Table: Element Categories (multiple choice)")
media_files = []
subset = [e for e in ELEMENTS if e[3] is not None]
random.seed(52)
shuffled = subset[:]
random.shuffle(shuffled)
letters = ["A", "B", "C", "D"]
for number, symbol, name, category in shuffled:
distractor_pool = [c for c in ALL_CATEGORIES if c != category]
distractors = random.sample(distractor_pool, 3)
choices = distractors + [category]
random.shuffle(choices)
correct_letter = letters[choices.index(category)]
prompt_lines = [f"{name} ({symbol})", ""]
for letter, choice in zip(letters, choices):
prompt_lines.append(f"{letter}) {choice}")
prompt = "\n".join(prompt_lines)
qtext = f"What category is {name}?"
atext = f"{category}"
add_note(deck, model, prompt, correct_letter, qtext, atext,
media_files, f"cat_{number}")
return deck, media_files, len(subset)
if args.deck == "prehs":
deck_key = "periodic_prehs"
elif args.deck == "hs":
deck_key = "periodic_hs"
else:
deck_key = "periodic_category"
MEDIA_DIR = os.path.join(SCRATCH, f"media_{deck_key}_{args.voice}")
os.makedirs(MEDIA_DIR, exist_ok=True)
GENERATORS = {"prehs": gen_prehs, "hs": gen_hs, "category": gen_category}
deck, media_files, count = GENERATORS[args.deck]()
package = genanki.Package(deck)
package.media_files = media_files
out_path = os.path.join(SCRATCH, f"{deck_key}_{args.voice}.apkg")
package.write_to_file(out_path)
size_mb = os.path.getsize(out_path) / (1024 * 1024)
print(f"\nDone: {out_path} ({size_mb:.1f} MB, {count} cards, {len(media_files)} audio clips)")
+408
View File
@@ -0,0 +1,408 @@
#!/usr/bin/env python3
"""tools/anki-deck-visual.py — Generate image-based Anki decks (.apkg) for
shapes, clocks, and coin-counting, with Anki's built-in type-the-answer
input and Piper (offline, local neural TTS) audio. See
tools/anki-deck-math.py's docstring for one-time setup (venv, genanki +
piper-tts, downloading a voice) — same steps apply here.
All images are drawn programmatically as SVG (regular-polygon geometry,
clock-hand trigonometry, coin layouts) rather than AI-generated — image
generation (local or cloud) is a poor fit for content that has to be
exactly correct (an exact clock time, an exact side count, an exact coin
total), not just plausible-looking. See this script's own point/angle
generation functions for how each shape's geometry is computed directly
rather than approximated.
Decks:
shapes regular polygons (3-10 sides, image->name and name->sides)
plus 5 quadrilateral types (image->name: square, rectangle,
rhombus, trapezoid, parallelogram — each one's geometry is
genuinely distinct, not just differently labeled)
clocks analog clock faces, all 144 hour/5-min combinations,
type the time as H:MM (the hour hand moves fractionally
with the minutes, e.g. 6:30 sits halfway between 6 and 7 —
a static hour hand is the most common "looks right but
teaches wrong" bug in generated clock faces)
currency US coins (nickel/dime/quarter — no pennies, since they're
barely used day to day at this point), 1-4 coins per card,
type the total in cents
Usage (run with the venv from anki-deck-math.py's docstring activated):
python3 anki-deck-visual.py --deck shapes
python3 anki-deck-visual.py --deck clocks
python3 anki-deck-visual.py --deck currency
(add --voice en_US-amy-medium etc.; --model-path if a voice isn't found
automatically; --dry-run-tts to test the deck-building logic without any
voice model at all, using silent placeholder audio)
"""
import argparse
import hashlib
import genanki
import math
import os
import random
import subprocess
parser = argparse.ArgumentParser()
parser.add_argument("--deck", required=True, choices=["shapes", "clocks", "currency"])
parser.add_argument("--voice", default="en_US-lessac-medium")
parser.add_argument("--model-path", default=None)
parser.add_argument("--dry-run-tts", action="store_true")
args = parser.parse_args()
SCRATCH = os.path.dirname(os.path.abspath(__file__))
_CANDIDATES = [
args.model_path,
f"{args.voice}.onnx",
os.path.join(SCRATCH, f"{args.voice}.onnx"),
os.path.expanduser(f"~/{args.voice}.onnx"),
os.path.expanduser(f"~/.local/share/piper/voices/{args.voice}.onnx"),
]
VOICE_MODEL = next((p for p in _CANDIDATES if p and os.path.isfile(p)), None)
if VOICE_MODEL is None and not args.dry_run_tts:
raise SystemExit(
f"Voice model for '{args.voice}' not found. Checked:\n"
+ "\n".join(f" {p}" for p in _CANDIDATES if p)
+ f"\n\nFind it with: find / -iname '{args.voice}.onnx' 2>/dev/null"
+ "\nThen pass its exact path with --model-path /the/real/path.onnx"
+ "\n(or pass --dry-run-tts to test deck-building without any voice at all)"
)
def piper_tts(text: str, out_path: str) -> None:
if args.dry_run_tts:
with open(out_path, "wb") as f:
f.write(
b"RIFF$\x00\x00\x00WAVEfmt \x10\x00\x00\x00\x01\x00\x01\x00"
b"\x22\x56\x00\x00\x44\xac\x00\x00\x02\x00\x10\x00data\x00\x00\x00\x00"
)
return
subprocess.run(
["python3", "-m", "piper", "-m", VOICE_MODEL, "-f", out_path],
input=text.encode("utf-8"),
check=True,
capture_output=True,
)
ONES = ["zero", "one", "two", "three", "four", "five", "six", "seven",
"eight", "nine", "ten", "eleven", "twelve", "thirteen", "fourteen",
"fifteen", "sixteen", "seventeen", "eighteen", "nineteen"]
TENS = ["", "", "twenty", "thirty", "forty", "fifty", "sixty", "seventy",
"eighty", "ninety"]
def num2words(n):
if n < 20:
return ONES[n]
if n < 100:
t, o = divmod(n, 10)
return TENS[t] + ("-" + ONES[o] if o else "")
h, rem = divmod(n, 100)
return ONES[h] + " hundred" + (" " + num2words(rem) if rem else "")
assert num2words(15) == "fifteen"
assert num2words(40) == "forty"
def time_words(hour, minute):
"""3, 5 -> 'three oh five'; 3, 15 -> 'three fifteen'; 3, 0 -> 'three o'clock'."""
if minute == 0:
return f"{num2words(hour)} o'clock"
if minute < 10:
return f"{num2words(hour)} oh {num2words(minute)}"
return f"{num2words(hour)} {num2words(minute)}"
assert time_words(3, 0) == "three o'clock"
assert time_words(3, 5) == "three oh five"
assert time_words(3, 15) == "three fifteen"
assert time_words(12, 45) == "twelve forty-five"
def build_model(deck_key):
voice_hash = int(hashlib.sha256(f"{deck_key}:{args.voice}".encode()).hexdigest(), 16)
model_id = 1_800_000_000 + (voice_hash % 90_000_000)
return model_id, genanki.Model(
model_id,
f"Visual Fact ({deck_key}, {args.voice})",
fields=[{"name": "Image"}, {"name": "Answer"}, {"name": "QSound"}, {"name": "ASound"}],
templates=[{
"name": "Card",
"qfmt": """
<div class="imgwrap">{{Image}}</div>
{{QSound}}
{{type:Answer}}
""",
"afmt": """
<div class="imgwrap">{{Image}}</div>
<hr id="answer">
{{type:Answer}}
{{ASound}}
""",
}],
css="""
.card { font-family: Arial, sans-serif; font-size: 24px; text-align: center; }
.imgwrap { margin: 10px auto; }
.imgwrap img { max-width: 260px; max-height: 260px; }
""",
)
def build_deck(deck_key, deck_title):
voice_hash = int(hashlib.sha256(f"{deck_key}:{args.voice}".encode()).hexdigest(), 16)
deck_id = 2_200_000_000 + (voice_hash % 90_000_000)
return genanki.Deck(deck_id, deck_title)
def add_note(deck, model, image_html, answer, qtext, atext, media_files, tag):
qfile = f"q_{tag}.wav"
afile = f"a_{tag}.wav"
qpath = os.path.join(MEDIA_DIR, qfile)
apath = os.path.join(MEDIA_DIR, afile)
piper_tts(qtext, qpath)
piper_tts(atext, apath)
media_files += [qpath, apath]
deck.add_note(genanki.Note(
model=model,
fields=[image_html, answer, f"[sound:{qfile}]", f"[sound:{afile}]"],
))
def add_text_note(deck, model, text, answer, qtext, atext, media_files, tag):
"""For directions that don't need an image (e.g. name -> number of sides)."""
add_note(deck, model, f'<div style="font-size:36px;">{text}</div>', answer,
qtext, atext, media_files, tag)
# ─── SVG generation ───────────────────────────────────────────────────────────
def save_svg(svg_body, filename, viewbox="0 0 200 200"):
path = os.path.join(MEDIA_DIR, filename)
with open(path, "w") as f:
f.write(
f'<svg xmlns="http://www.w3.org/2000/svg" viewBox="{viewbox}" '
f'width="200" height="200">{svg_body}</svg>'
)
return path
def regular_polygon_points(n_sides, cx=100, cy=100, r=80):
points = []
# Start pointing up (-90deg) so shapes sit "upright" rather than vertex-right.
start_angle = -90
for i in range(n_sides):
angle_deg = start_angle + i * (360 / n_sides)
angle_rad = math.radians(angle_deg)
x = cx + r * math.cos(angle_rad)
y = cy + r * math.sin(angle_rad)
points.append((round(x, 1), round(y, 1)))
return points
def polygon_svg(points):
pts_str = " ".join(f"{x},{y}" for x, y in points)
return f'<polygon points="{pts_str}" fill="#6fa8dc" stroke="#1c4587" stroke-width="4"/>'
POLYGON_NAMES = {
3: "triangle", 4: "square", 5: "pentagon", 6: "hexagon", 7: "heptagon",
8: "octagon", 9: "nonagon", 10: "decagon",
}
QUADRILATERALS = {
"square": [(50, 50), (150, 50), (150, 150), (50, 150)],
"rectangle": [(30, 60), (170, 60), (170, 140), (30, 140)],
"rhombus": [(100, 20), (170, 100), (100, 180), (30, 100)],
"trapezoid": [(60, 60), (140, 60), (170, 140), (30, 140)],
"parallelogram": [(60, 60), (160, 60), (140, 140), (40, 140)],
}
def clock_svg(hour, minute):
cx, cy, r = 100, 100, 90
minute_angle = minute * 6 - 90
hour_angle = (hour % 12) * 30 + minute * 0.5 - 90
def hand(angle_deg, length, width, color):
rad = math.radians(angle_deg)
x2 = cx + length * math.cos(rad)
y2 = cy + length * math.sin(rad)
return f'<line x1="{cx}" y1="{cy}" x2="{x2:.1f}" y2="{y2:.1f}" stroke="{color}" stroke-width="{width}" stroke-linecap="round"/>'
ticks = []
numerals = []
for h in range(1, 13):
angle = math.radians(h * 30 - 90)
tx1, ty1 = cx + (r - 10) * math.cos(angle), cy + (r - 10) * math.sin(angle)
tx2, ty2 = cx + r * math.cos(angle), cy + r * math.sin(angle)
ticks.append(f'<line x1="{tx1:.1f}" y1="{ty1:.1f}" x2="{tx2:.1f}" y2="{ty2:.1f}" stroke="black" stroke-width="2"/>')
nx, ny = cx + (r - 22) * math.cos(angle), cy + (r - 22) * math.sin(angle)
numerals.append(f'<text x="{nx:.1f}" y="{ny:.1f}" font-size="14" text-anchor="middle" dominant-baseline="middle">{h}</text>')
body = (
f'<circle cx="{cx}" cy="{cy}" r="{r}" fill="white" stroke="black" stroke-width="3"/>'
+ "".join(ticks) + "".join(numerals)
+ hand(hour_angle, 45, 6, "black")
+ hand(minute_angle, 70, 4, "black")
+ f'<circle cx="{cx}" cy="{cy}" r="4" fill="black"/>'
)
return body
COIN_INFO = {5: ("#c0c0c0", ""), 10: ("#d9d9d9", "10¢"), 25: ("#b8b8b8", "25¢")}
COIN_NAMES = {5: "nickel", 10: "dime", 25: "quarter"}
def coins_svg(coin_values):
n = len(coin_values)
spacing = 200 // (n + 1)
parts = []
for i, v in enumerate(coin_values):
cx = spacing * (i + 1)
color, label = COIN_INFO[v]
radius = 30 if v == 25 else (26 if v == 10 else 28)
parts.append(
f'<circle cx="{cx}" cy="100" r="{radius}" fill="{color}" stroke="#444" stroke-width="2"/>'
f'<text x="{cx}" y="105" font-size="14" text-anchor="middle">{label}</text>'
)
return "".join(parts)
def coin_list_words(coin_values):
names = [COIN_NAMES[v] for v in coin_values]
if len(names) == 1:
return f"a {names[0]}"
if len(names) == 2:
return f"a {names[0]} and a {names[1]}"
return ", ".join(f"a {n}" for n in names[:-1]) + f", and a {names[-1]}"
# ─── Per-deck generators ─────────────────────────────────────────────────────
def gen_shapes():
deck_key = "shapes"
model_id, model = build_model(deck_key)
deck = build_deck(deck_key, "Shapes: Polygons & Quadrilaterals")
media_files = []
jobs = []
for n in range(3, 11):
jobs.append(("polygon_image", n))
jobs.append(("polygon_sides", n))
for qname in QUADRILATERALS:
jobs.append(("quad_image", qname))
random.seed(60)
random.shuffle(jobs)
for kind, val in jobs:
if kind == "polygon_image":
n = val
name = POLYGON_NAMES[n]
svg_path = save_svg(polygon_svg(regular_polygon_points(n)), f"poly_{n}.svg")
media_files.append(svg_path)
add_note(deck, model, f'<img src="poly_{n}.svg">', name,
"What shape is this?", name, media_files, f"shape_img_{n}")
elif kind == "polygon_sides":
n = val
name = POLYGON_NAMES[n]
add_text_note(deck, model, name.capitalize(), str(n),
f"How many sides does a {name} have?", num2words(n),
media_files, f"shape_sides_{n}")
else:
qname = val
svg_path = save_svg(polygon_svg(QUADRILATERALS[qname]), f"quad_{qname}.svg")
media_files.append(svg_path)
add_note(deck, model, f'<img src="quad_{qname}.svg">', qname,
"What shape is this?", qname, media_files, f"shape_quad_{qname}")
return deck, media_files, len(jobs)
def gen_clocks():
deck_key = "clocks"
model_id, model = build_model(deck_key)
deck = build_deck(deck_key, "Telling Time: Analog Clocks")
media_files = []
times = [(h, m) for h in range(1, 13) for m in range(0, 60, 5)]
random.seed(61)
random.shuffle(times)
# The question prompt ("What time is it?") is identical for every card —
# generate it once instead of 144 times.
shared_qfile = "q_clock_prompt.wav"
piper_tts("What time is it?", os.path.join(MEDIA_DIR, shared_qfile))
media_files.append(os.path.join(MEDIA_DIR, shared_qfile))
for hour, minute in times:
svg_path = save_svg(clock_svg(hour, minute), f"clock_{hour}_{minute:02d}.svg")
media_files.append(svg_path)
answer = f"{hour}:{minute:02d}"
afile = f"a_clock_{hour}_{minute:02d}.wav"
apath = os.path.join(MEDIA_DIR, afile)
piper_tts(time_words(hour, minute), apath)
media_files.append(apath)
deck.add_note(genanki.Note(
model=model,
fields=[f'<img src="clock_{hour}_{minute:02d}.svg">', answer,
f"[sound:{shared_qfile}]", f"[sound:{afile}]"],
))
return deck, media_files, len(times)
def gen_currency():
deck_key = "currency"
model_id, model = build_model(deck_key)
# Deliberately nickel/dime/quarter only, no pennies — pennies are barely
# used day to day at this point, and skipping them keeps every total a
# multiple of 5 cents, which is a cleaner first pass at coin counting.
deck = build_deck(deck_key, "Counting Coins (nickels, dimes, quarters)")
media_files = []
denoms = [5, 10, 25]
combos = set()
for count in range(1, 5):
def rec(remaining, current):
if remaining == 0:
combos.add(tuple(sorted(current)))
return
for d in denoms:
if not current or d >= current[-1]:
rec(remaining - 1, current + [d])
rec(count, [])
combos = sorted(combos)
random.seed(62)
random.shuffle(combos)
for coin_values in combos:
total = sum(coin_values)
svg_path = save_svg(coins_svg(list(coin_values)), f"coins_{'_'.join(map(str, coin_values))}.svg")
media_files.append(svg_path)
qtext = f"How much money is {coin_list_words(list(coin_values))}?"
atext = f"{num2words(total)} cents"
add_note(deck, model, f'<img src="coins_{"_".join(map(str, coin_values))}.svg">',
str(total), qtext, atext, media_files, f"coins_{'_'.join(map(str, coin_values))}")
return deck, media_files, len(combos)
if args.deck == "shapes":
deck_key = "shapes"
elif args.deck == "clocks":
deck_key = "clocks"
else:
deck_key = "currency"
MEDIA_DIR = os.path.join(SCRATCH, f"media_{deck_key}_{args.voice}")
os.makedirs(MEDIA_DIR, exist_ok=True)
GENERATORS = {"shapes": gen_shapes, "clocks": gen_clocks, "currency": gen_currency}
deck, media_files, count = GENERATORS[args.deck]()
package = genanki.Package(deck)
package.media_files = media_files
out_path = os.path.join(SCRATCH, f"{deck_key}_{args.voice}.apkg")
package.write_to_file(out_path)
size_mb = os.path.getsize(out_path) / (1024 * 1024)
print(f"\nDone: {out_path} ({size_mb:.1f} MB, {count} cards, {len(media_files)} media files)")