| Commit message (Collapse) | Author | Age | Files | Lines |
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The live buffer preview was incomplete. It skipped highlight, isearch-fail, show-paren-mismatch, and vertical-border, and the fringe was painted its ground-colored default so it read as absent. The mock now renders all twenty ui faces: a highlighted line, a failing isearch in the echo area, a mismatched paren, and a vertical-border strip down the buffer's right edge. The fringe column is wider with a hairline edge so the gutter is locatable even at ground color, and the buffer runs a dozen lines to fit everything.
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I laid the tier-3 foundation: an APPS registry (org starter for now) and a PKGMAP holding {fg,bg,bold,italic,inherit,source} per face. Pure helpers seed PKGMAP from APPS defaults, build the export per the state policy, and merge an import back in. Export gains a packages key when any package face is present, and import reads it while old JSON with no packages key still loads cleanly onto the seeded defaults. No UI yet — that's phase 3.
A #selftest harness, guarded by the URL hash so it never shows in normal use, runs seed to export to import and checks the round-trip, old-JSON merge, and inherit/source survival. Headless Chrome reports PASS, which is how I verified the schema end-to-end against the real emitted code rather than a copy.
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Editing a color's value could create a new color instead of updating it. Enter in the hex or name field now applies to the selected color rather than adding, and Add color refuses a name that already exists with a noticeable inline notice, so re-saving an existing color can't silently spawn a duplicate. Picking from the native swatch focuses the hex field so Enter applies right after, and both add and update report what happened in the same notice line.
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I added the reverse lookup. Clicking a token in the code sample flashes the matching code/color assignment row and scrolls it into view; clicking an element in the mock frame flashes its ui-faces row, or the assignment row when it's a code token. Each token carries its category and each mock element its face as a data attribute, so the lookup survives sorting, reassignment, and palette edits.
Going color-first can't tell you which category owns a shared color, since operator, function, and punctuation all read as silver. Clicking the token answers it directly.
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I made palette colors editable. Click a chip and its hex and name load into the editor and the chip is selected. "Update selected" rewrites that entry and remaps every syntax and ui assignment from the old hex to the new, so nudging a color no longer means redoing the assignments that used it. "Add color" still appends a fresh one.
The ui-faces mock frame now stretches to the height of its face table, with the buffer filling and the mode-line pinned to the bottom like a real window. I also renamed "interface faces" to "ui faces."
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I split the interface-faces row into the face table on the left and a mock Emacs buffer on the right. The mock paints the faces in context: line numbers and fringe, a current line with hl-line and the current-line number, a region selection, an isearch match, a lazy-highlight, a show-paren match, a block cursor, active and inactive mode-lines, and a minibuffer prompt with an echo line for link, error, warning, and success. It rebuilds whenever a syntax or interface color changes, so it always reflects the current theme.
The face table told you each color. The mock shows what they look like together in a real buffer.
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I restructured the page into ordered rows. The top row splits palette on the left and save / load theme on the right. The next row, "code/color assignments," puts the assignment table on the left and a single code sample on the right, picked by a language dropdown and recolored live from the assignments. The last row is the interface faces.
I added a contrast column to the assignment table: each color's WCAG ratio on the current background plus an AAA / AA / FAIL rating, recomputed live and re-rated when the background changes.
I also replaced the six-language scroll with the one-language picker, lengthened every sample to roughly the height of the assignment table, and renamed the title suffix to "theme."
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A self-contained tool for building Emacs color themes by eye. generate.py emits one HTML page with six languages of tree-sitter-tokenized code, a category-to-color assignment table, a UI-faces table, and an editable palette. Reassign colors from the palette, toggle weight and slant per category, set foreground and background per UI face, then export a theme.json a later build step turns into theme files.
The export carries the name, palette, syntax assignments, bold and italic sets, and a ui object of per-face foreground and background. The theme name is both the json name field and the download filename.
samples.py holds the language samples and the default color map. theme-selector.html is the generated output. The json-to-theme converter is the next piece, and the part worth TDD.
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Google's .ics export drops per-occurrence response statuses on recurring events. When OOO auto-declines a meeting, the master event keeps PARTSTAT=ACCEPTED and declined instances inherit it. The .ics path can't filter the declines out. The API path expands recurrences server-side via singleEvents=True, and each occurrence carries its own attendees[].self.responseStatus.
scripts/calendar_sync_api.py fetches events and renders them as org entries. OAuth is one-time per account. The refresh token lives at ~/.config/calendar-sync/token-<account>.json under 0600. Output matches the existing .ics shape: heading sanitization, LOCATION/ORGANIZER/STATUS/URL property drawer, HTML-stripped descriptions, org timestamps with weekday abbreviations.
I wrote 30 stdlib-unittest tests against fixture JSON, covering rendering, filtering, timestamp formatting, and HTML cleanup. I left auth and HTTP uncovered — they're thin wrappers around the Google client libraries, best checked by running the script once after OAuth setup.
docs/calendar-sync-api-setup.org walks through the Google Cloud OAuth client setup and the per-account auth bootstrap. .gitignore picks up Python bytecode now that the project has a Python helper.
The Elisp dispatch (:fetcher 'api routing in calendar-sync.el) lands in a follow-up commit.
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=make coverage= used to print a line-weighted percentage that only saw
files SimpleCov instrumented. 104 modules existed on disk but only 49
appeared in =.coverage/simplecov.json=, so the headline number was
flattering: untouched modules counted for nothing.
The summary script now adds two things on top of the existing report:
- A =Not in SimpleCov report= section listing modules present under
=modules/*.el= but absent from the SimpleCov output. Missing-module
detection is exactly direct =modules/*.el=; subdirectories and =.elc=
files are ignored.
- A =Project module coverage= line that is module-weighted across every
direct =modules/*.el= file. Tracked modules contribute their per-file
coverage percentage; missing modules contribute 0%.
The original line-weighted SimpleCov percentage stays as the
=instrumented coverage= number. The new module-weighted score is the
honest project-level reading: missing modules count as 0% without
inventing a fake executable-line denominator for them.
Tests assert the missing-module section, the new percentage, and the
ignore rules for .elc / nested files.
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modules/telega-config.el uses `:ensure nil' on the use-package block
(a stale MELPA archive index can 404 and take startup down if
auto-install runs in init). The trade-off was that a fresh clone
needed a one-time `M-x package-install RET telega' before the
dashboard launcher or `C-; G' would work -- the autoload stub
would fail with `Cannot open load file: telega' instead.
Hit it on this machine just now: dashboard pressed, autoload tried
to load telega.el, no telega.el on the load-path, cryptic error.
Add `ensure_telega_package' to the setup script: probe with
`(package-installed-p 'telega)' under `emacs --batch'; if absent,
refresh MELPA and install via package.el; if that fails, surface
the manual recovery path. Wire it into `main' after the docker
checks. Four new bats tests cover the missing-emacs, already-
installed, install-succeeds, and install-fails paths with `emacs'
stubbed at the function level.
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Verifies docker is installed and the daemon is reachable, then either pulls a public image (when `TELEGA_DOCKER_IMAGE` is set) or announces the in-Emacs build path (`M-x telega-server-build`) for the user to run once. Telegram auth (phone + verification code) is interactive on first `M-x telega` and not scripted here.
Same shape as setup-email.sh: helpers are sourceable for bats, `main` runs only under direct execution. 7 bats tests stub `docker` and `command` so the suite never talks to the real daemon.
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`setup-email.sh' ran top to bottom, so the only way to exercise `install_encrypted_password' / `decrypt_password' was to run the whole new-machine setup (mbsync, mu init). Its procedural body now lives in a `main()' function guarded by the usual `[[ "${BASH_SOURCE[0]}" == "${0}" ]]' check, so sourcing the script just defines the helpers, and running it directly is unchanged.
New `tests/test-setup-email.bats' sources the script, points the password dirs at a per-test tmpdir, and covers both helpers across the normal / skip-existing / missing-source / (for decrypt) gpg-failure paths, stubbing `gpg' so no real key is needed. `make test-bash' runs the bats files, and `make test' picks them up after the Elisp suite when bats is installed.
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`setup-email.sh' was still gmail+cmail only. Added `dmail' as a first-class maildir (`~/.mail/dmail') and the work address to the `mu init' list, and reworked password bootstrap to match the live config: the gmail and dmail password files stay encrypted (mbsync/msmtp decrypt them on use), while cmail decrypts to `~/.config/.cmailpass' for ProtonBridge. A missing password source now fails loudly instead of continuing silently. `bash -n' verified. The script itself wasn't run, since it decrypts credentials, runs mbsync, and reindexes mu.
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Replaced pandoc-based reveal.js export with native ox-reveal integration.
New org-reveal-config.el module provides offline, self-contained HTML export
with keybindings under C-; p. Includes setup script for reveal.js 5.1.0
and 34 ERT tests covering header template and title-to-filename helpers.
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GUI key translations (M-O → M-S-o, etc.) were never installed in daemon
mode because env-gui-p returns nil at startup with no frame. Use
server-after-make-frame-hook for daemon, emacs-startup-hook otherwise.
Also adds timestamps to assemblyai-transcribe output.
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- Add password decryption loop to scripts/setup-email.sh
- Decrypt .gpg files from assets/mail-passwords/ to ~/.config/
- Add encrypted password files (.gmailpass.gpg, .cmailpass.gpg)
- Fix missing paren in text-config.el that broke config parsing
- Clean up mail-config.el
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Integrated AssemblyAI as the third transcription backend alongside OpenAI
API and local-whisper, now set as the default due to superior speaker
diarization capabilities (up to 50 speakers).
New Features:
- AssemblyAI backend with automatic speaker labeling
- Backend switching UI via C-; T b (completing-read interface)
- Universal speech model supporting 99 languages
- API key management through auth-source/authinfo.gpg
Implementation:
- Created scripts/assemblyai-transcribe (upload → poll → format workflow)
- Updated transcription-config.el with multi-backend support
- Added cj/--get-assemblyai-api-key for secure credential retrieval
- Refactored process environment handling from if to pcase
- Added cj/transcription-switch-backend interactive command
Testing:
- Created test-transcription-config--transcription-script-path.el
- 5 unit tests covering all 3 backends (100% passing)
- Followed quality-engineer.org guidelines (test pure functions only)
- Investigated 18 test failures: documented cleanup in todo.org
Files Modified:
- modules/transcription-config.el - Multi-backend support and UI
- scripts/assemblyai-transcribe - NEW: AssemblyAI integration script
- tests/test-transcription-config--transcription-script-path.el - NEW
- todo.org - Added test cleanup task (Method 3, priority C)
- docs/NOTES.org - Comprehensive session notes added
Successfully tested with 33KB and 4.1MB audio files (3s and 9s processing).
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Integrated LanguageTool as an on-demand grammar checker, replacing the
previously disabled proselint checker.
Changes:
- Created scripts/languagetool-flycheck wrapper for flycheck integration
- Converts LanguageTool JSON output to flycheck format
- Includes suggestions in error messages
- 30-second timeout for large files
- Updated modules/flycheck-config.el:
- Defined languagetool checker for text/markdown/org/gfm modes
- Updated cj/flycheck-prose-on-demand to use LanguageTool
- Added installation instructions (sudo pacman -S languagetool)
- Improved documentation clarity
- Usage: Press C-; ? in org/text/markdown files
- Enables flycheck with LanguageTool
- Shows errors in *Flycheck errors* buffer
- On-demand only (no performance impact)
- Updated docs/NOTES.org:
- Added best practice: Test Emacs launch after non-trivial changes
- Example: emacs --eval "(kill-emacs)"
- Catches startup errors before committing
- Disabled weather debug mode (wttrin-debug nil)
- Marked todo.org grammar checker task as DONE
LanguageTool catches real grammar issues (subject-verb agreement, tense,
punctuation, common mistakes) that proselint missed.
Installation: LanguageTool 6.6 (222MB) from Arch repos
Dependencies: Python 3 (for wrapper script)
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Implemented full transcription system with local Whisper and OpenAI API
support. Includes comprehensive test suite (60 tests) and reorganized
keybindings for better discoverability.
Features:
- Async transcription (non-blocking workflow)
- Desktop notifications (started/complete/error)
- Output: audio.txt (transcript) + audio.log (process logs)
- Modeline integration showing active transcription count
- Dired integration (press T on audio files)
- Process management and tracking
Scripts:
- install-whisper.sh: Install Whisper via AUR or pip
- uninstall-whisper.sh: Clean removal with cache cleanup
- local-whisper: Offline transcription using installed Whisper
- oai-transcribe: Cloud transcription via OpenAI API
Tests (60 passing):
- Audio file detection (16 tests)
- Path generation logic (11 tests)
- Log cleanup behavior (5 tests)
- Duration formatting (9 tests)
- Active counter & modeline (11 tests)
- Integration workflows (8 tests)
Keybindings:
- Reorganized gcal to C-; g submenu (s/t/r/c)
- Added C-; t transcription submenu (t/b/k)
- Dired: T to transcribe file at point
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Add Makefile adapted from chime.el with targets for:
Testing:
- make test - Run all tests (unit + integration)
- make test-unit - Run unit tests only
- make test-integration - Run integration tests only
- make test-file FILE=<filename> - Run specific test file
- make test-name TEST=<pattern> - Run tests matching pattern
Validation:
- make validate-parens - Check for unbalanced parentheses
- make validate-modules - Load all modules to verify compilation
- make compile - Byte-compile all modules
- make lint - Run checkdoc, package-lint, elisp-lint
Utilities:
- make profile - Profile Emacs startup
- make clean - Remove test artifacts and compiled files
- make clean-compiled - Remove .elc/.eln files only
- make clean-tests - Remove test artifacts only
- make reset - Reset to first launch (destructive!)
Default target is 'make help' which displays all available targets.
Inline scripts from scripts/ directory:
- delete-elisp-compiled-files.sh → make clean-compiled
- profile-dotemacs.sh → make profile
- reset-to-first-launch.sh → make reset
Delete inlined scripts to reduce duplication.
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Add removal of `emms` and `request` directories and several files to
enhance the reset-to-first-launch script to ensure complete cleanup
of user data.
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Remove user confirmation and file listing prompt. Simplify the
script by directly deleting .eln and .elc files in the specified
location and confirming completion.
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