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README.md
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# breadpad / breadman
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A quick-capture scratchpad and structured note viewer for Hyprland / Wayland, with AI-powered classification, reminders, recurrence, and snooze.
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Two entry points, one binary, one shared workspace:
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| Binary | Purpose |
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|--------|---------|
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| `breadpad` | Layer-shell capture popup — type a note, press Enter, done |
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| `breadman` | Full note viewer and manager |
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---
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## Workspace layout
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```
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breadpad-shared shared types, storage, classification, scheduler
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breadpad GTK4 layer-shell capture popup
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breadman GTK4 note viewer / manager
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```
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---
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## Features
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### Capture (`breadpad`)
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- Layer-shell popup, centered, keyboard-exclusive — appears instantly on your keybind
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- Single text field; press **Enter** or click **✓** to save, **Escape** to dismiss
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- Optional manual type override before saving (defaults to AI classification)
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- Timestamp and active Hyprland workspace recorded automatically
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### Classification
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Every note passes through a three-tier pipeline at capture time:
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1. **Rule-based parser** — always runs first; handles time extraction ("at 7pm", "in 30 minutes", "tomorrow morning", "next Friday"), recurrence ("every Sunday at 9pm", "every weekday morning"), and strong type signals ("?" → question, "idea:" prefix → idea, action verbs → todo). High-confidence results skip the remaining tiers entirely.
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2. **Small local ONNX model** — runs when Tier 1 can't confidently assign a type. Responsible for type classification only; Tier 1's extracted time, recurrence rule, and cleaned body are always preserved.
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3. **Large local model via Ollama** — runs only when Tier 2 confidence falls below a configurable threshold. Communicates with a locally running Ollama instance over HTTP. If Ollama is unreachable, the Tier 2 result is used. No cloud APIs are involved.
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Manual override always available — the AI-assigned type is shown as a chip you can tap to change before saving.
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### Note types (built-in)
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| Type | Example |
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|------|---------|
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| `todo` | "buy milk on the way home" |
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| `reminder` | "pack calculator in bag at 7pm" |
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| `idea` | "what if breadman had a calendar view" |
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| `note` | "meeting went well, follow up Friday" |
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| `question` | "why does nmcli drop on suspend?" |
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User-defined tags can be added freely on top of the built-in types.
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### Reminders, recurrence, and snooze
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- **One-off reminders** — natural language time ("at 7pm", "in 30 minutes", "tomorrow morning") parsed at classification time; scheduled via a systemd user timer
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- **Recurring reminders** — "every Sunday at 9pm", "every weekday morning" — stored as an iCal-compatible RRULE and re-scheduled on each trigger
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- **Snooze** — notification popup includes snooze actions: 15 min / 1 hour / tomorrow morning / custom; snoozing reschedules the timer without touching the original note
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- **Missed reminders** — if the system was off or suspended at the scheduled time, the reminder fires on next login
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### Viewer (`breadman`)
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- Sidebar with one entry per type + "All" and "Upcoming"
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- Each note card shows: body, type chip, timestamp, workspace tag, recurrence badge if set
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- **Upcoming** view: chronological list of all pending reminders and todos with times
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- Inline editing — click any card to edit body, type, time, or recurrence
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- Mark todo/reminder as done; done items move to an archive accessible via a toggle
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- Search across all notes (full-text, instant)
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- Sort by: newest, oldest, due time
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### Theming
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- Reads `~/.cache/wal/colors.json` (pywal) on startup — matches the rest of the bread ecosystem
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- Falls back to Catppuccin Mocha
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- CSS override: `~/.config/breadpad/style.css`
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- `SIGHUP` reloads theme at runtime
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---
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## Storage
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Notes are stored as JSONL at `~/.local/share/breadpad/notes.jsonl` — one JSON object per line, human-readable, easy to back up or script against.
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```jsonl
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{"id":"a1b2c3","body":"Pack calculator in bag","type":"reminder","time":"2026-05-25T19:00:00","rrule":null,"done":false,"workspace":"1","created":"2026-05-25T18:45:00","snoozed_until":null}
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{"id":"d4e5f6","body":"Look into relm4 reactive patterns","type":"idea","time":null,"rrule":null,"done":false,"workspace":"2","created":"2026-05-25T14:10:00","snoozed_until":null}
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```
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Completed notes are never deleted — they gain `"done": true` and a `"completed"` timestamp. A separate `~/.local/share/breadpad/archive.jsonl` is written periodically for notes older than 30 days.
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---
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## AI classification
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### Three-tier pipeline
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#### Tier 1 — Rule-based parser
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Always runs. Handles:
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- **Time extraction**: "at 7pm", "in 30 minutes", "tomorrow morning", "next Friday at 9am"
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- **Recurrence**: "every Sunday at 9pm", "every weekday morning" → stored as RRULE
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- **Type signals**: leading "?" or "why/how/what" → `question`; "idea:" prefix or "what if" → `idea`; action verbs → `todo`; time present → `reminder`
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Returns a calibrated confidence. If ≥ 0.82, Tiers 2 and 3 are skipped.
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#### Tier 2 — Small local ONNX model
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Runs when Tier 1 confidence is below threshold. Responsible for **type classification only** — Tier 1's extracted time, recurrence rule, and cleaned body are always preserved.
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Invoked via `ort` (ONNX Runtime Rust bindings). Execution provider order:
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1. **QNN (Qualcomm/AMD XDNA NPU)** — requires `libQnnHtp.so` from the AMD Ryzen AI software stack
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2. **Vulkan** — iGPU via the ONNX Runtime Vulkan EP
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3. **CPU** — always available fallback
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Active provider shown in `breadpad --status`.
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#### Tier 3 — Large local model via Ollama
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Runs only when Tier 2 confidence falls below `model.ollama.confidence_threshold` (default 0.6). Sends a structured prompt to a locally running Ollama instance over HTTP and parses the JSON response for `type`, `body`, and `confidence`. The Ollama model runs on the iGPU via Ollama's own backend — breadpad does not manage GPU allocation for this tier.
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If Ollama is unreachable or returns an invalid response, breadpad logs a warning and uses the Tier 2 result. No cloud APIs are used anywhere.
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### Model location (Tier 2)
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```
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~/.local/share/breadpad/model/classifier.onnx
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~/.local/share/breadpad/model/tokenizer.json
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```
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breadpad ships without a bundled model. Run `breadpad download-model` to fetch a recommended quantised model, or drop your own ONNX model in the above path.
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```bash
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breadpad download-model # fetches default model (~150 MB)
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breadpad model-info # shows active EP, model path, last inference time
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```
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---
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## Requirements
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- Linux with a running Hyprland compositor
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- GTK4 (≥ 4.12) + `gtk4-layer-shell`
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- D-Bus session bus (for notifications)
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- systemd user session (for timer-backed reminders)
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- Rust 1.77+
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- ONNX Runtime (`ort` crate pulls this in automatically via the `download-binaries` feature)
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- **NPU path only:** AMD Ryzen AI software stack (`amdxdna` kernel driver ≥ 6.11, QNN EP shared libs)
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- **Tier 3 only (optional):** [Ollama](https://ollama.com) running locally with your chosen model pulled (`ollama pull llama3.2:3b`). Tier 3 is silently skipped if Ollama is not running.
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---
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## Installation
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```bash
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git clone https://github.com/breadway/breadpad
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cd breadpad
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cargo build --release
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cp target/release/breadpad ~/.local/bin/
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cp target/release/breadman ~/.local/bin/
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# Fetch the default classifier model
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breadpad download-model
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```
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On Arch Linux, install GTK4 dependencies first:
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```bash
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sudo pacman -S gtk4 gtk4-layer-shell
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```
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---
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## Configuration
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On first run, breadpad writes `~/.config/breadpad/breadpad.toml`:
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```toml
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[settings]
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default_type = "note" # fallback type if classification is skipped
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workspace_tag = true # tag notes with active Hyprland workspace
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snooze_options = ["15m", "1h", "tomorrow_morning"] # shown in notification actions
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archive_after_days = 30
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[model]
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path = "~/.local/share/breadpad/model/classifier.onnx"
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tokenizer = "~/.local/share/breadpad/model/tokenizer.json"
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execution_provider = "auto" # auto | npu | vulkan | cpu
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[model.ollama]
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endpoint = "http://localhost:11434"
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model = "llama3.2:3b" # any model you have pulled in Ollama
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confidence_threshold = 0.6 # Tier 2 scores below this trigger Tier 3
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enabled = true # set false to never call Ollama
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[reminders]
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default_morning = "08:00" # what "tomorrow morning" resolves to
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missed_grace_minutes = 60 # how long after boot to still fire a missed reminder
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```
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---
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## Usage
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### breadpad (capture)
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```bash
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# Open the capture popup (bind this to a key in hyprland.conf)
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breadpad
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# Open with a pre-selected type
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breadpad --type todo
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# Skip AI classification (save as plain note)
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breadpad --no-classify
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# Show model and storage status
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breadpad --status
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```
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Hyprland keybind:
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```
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bind = $mainMod, N, exec, breadpad
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```
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### breadman (viewer)
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```bash
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# Open the note viewer
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breadman
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# Open directly to a specific type view
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breadman --view todo
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breadman --view upcoming
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# Mark a note done by ID (scriptable)
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breadman done <id>
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# List upcoming reminders in the terminal
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breadman upcoming --plain
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```
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---
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## Scheduler
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breadpad manages reminders via systemd user timers. Each scheduled note gets a transient timer unit:
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```
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breadpad-reminder-<id>.timer
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breadpad-reminder-<id>.service
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```
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The service unit runs `breadpad fire <id>`, which sends a `notify-send` notification with snooze actions. Snoozing writes the new time back to the note and creates a replacement timer. Recurring notes create the next timer immediately on fire.
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You can inspect pending timers:
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```bash
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systemctl --user list-timers 'breadpad-*'
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```
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---
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## Testing
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`breadpad-test` is a CLI test harness for the classification pipeline. It runs a JSON corpus of labelled inputs through any tier of the pipeline and reports pass/fail.
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```bash
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# Run Tier 1 (rule-based only) — fast, no model needed
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breadpad-test run
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# See only failing cases
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breadpad-test run --format failures
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# Run Tier 2 (+ ONNX model)
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breadpad-test run --tier 2
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# Run full pipeline including Ollama
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breadpad-test run --tier all
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# Machine-readable output
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breadpad-test run --format json
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```
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### Corpus format
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Default path: `breadpad-test/corpus.json`. Override with `--corpus <path>`.
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```json
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[
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{
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"input": "pack my calculator in my bag tonight",
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"expected_type": "todo",
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"expected_time": null,
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"expected_body": "pack my calculator in my bag",
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"expected_rrule": null,
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"notes": "no time specified, should not infer one"
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}
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]
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```
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- `expected_time` — `HH:MM`; date component is ignored so tests are never date-sensitive
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- `expected_rrule` — matched as substring of the actual RRULE string
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- Any `null` field is skipped — only non-null fields are asserted
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### Tier modes
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| `--tier` | What runs |
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|----------|-----------|
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| `1` (default) | Tier 1 rule-based parser only — no model required |
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| `2` | Tiers 1 + 2 (ONNX classifier) |
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| `3` / `all` | Full pipeline including Tier 3 Ollama |
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### Corpus management
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```bash
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# Interactively add an entry
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breadpad-test add
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# Show entry #5 and the pipeline's actual output
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breadpad-test show 5
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# Open corpus file in $EDITOR at entry #5
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breadpad-test edit 5
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```
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### Typical tuning workflow
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```bash
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# 1. See what Tier 1 gets wrong
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breadpad-test run --tier 1 --format failures
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# 2. Edit parser.rs, then rerun
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cargo build -p breadpad-shared && breadpad-test run --tier 1 --format failures
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# 3. Once Tier 1 is stable, audit Tier 2 regressions
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breadpad-test run --tier 2 --format failures
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```
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---
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## Nextcloud Calendar integration
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breadpad can push scheduled notes and recurring reminders to a CalDAV calendar (Nextcloud or any RFC 4791-compliant server). No cloud APIs are used — everything goes directly to your own server over HTTPS.
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### What gets pushed
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Notes with a scheduled time (`time` field) or recurrence rule (`rrule`) are pushed as VEVENT entries when saved. Notes without a time are not pushed. Deleting a note also deletes the corresponding calendar event.
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### Configuration
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Add a `[calendar]` section to `~/.config/breadpad/breadpad.toml`:
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```toml
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[calendar]
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enabled = true
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url = "https://nextcloud.example.com/remote.php/dav/calendars/you/breadpad/"
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username = "you"
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password = "app-password-here" # use a Nextcloud app password, not your login password
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```
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The calendar must already exist on the server. Create it in the Nextcloud Calendar app before enabling this integration.
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### CLI commands
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```bash
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# Verify the CalDAV connection and credentials
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breadpad calendar test
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# List CalDAV UIDs for all scheduled notes (queries the server if enabled, local store if not)
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breadpad calendar list-uid
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# Show the CalDAV UID for a specific note by its local ID
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breadpad calendar list-uid <note-id>
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```
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### Event format
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Each note is pushed as a VEVENT with:
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- `UID` — `<note-id>@breadpad` (stable and deterministic)
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- `SUMMARY` — note body
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- `DTSTART` / `DTEND` — scheduled time (or creation time for recurring notes without a fixed start)
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- `RRULE` — recurrence rule if set
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- `DESCRIPTION` — `type=<note-type>`
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### Security note
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Store your CalDAV password using a Nextcloud app password rather than your account password. App passwords can be revoked individually from the Nextcloud security settings.
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---
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## Module layout
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| Crate / module | Responsibility |
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|----------------|---------------|
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| `breadpad-shared/src/types.rs` | `Note`, `NoteType`, `RecurrenceRule`, `SnoozeState` |
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| `breadpad-shared/src/store.rs` | JSONL read/write, atomic saves, archive rotation |
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| `breadpad-shared/src/classifier.rs` | Three-tier pipeline orchestration (Tier 1 → 2 → 3) |
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| `breadpad-shared/src/parser.rs` | Tier 1: rule-based time/recurrence/type parsing |
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| `breadpad-shared/src/ai.rs` | Tier 3: Ollama HTTP client, prompt construction, response parsing |
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| `breadpad-shared/src/calendar.rs` | CalDAV client: push, delete, list events; iCal VEVENT builder |
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| `breadpad-shared/src/scheduler.rs` | systemd timer creation, snooze, recurrence next-occurrence |
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| `breadpad/src/main.rs` | GTK4 layer-shell popup, text field, type chip selector |
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| `breadman/src/main.rs` | GTK4 app entry, sidebar, note list, search |
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| `breadman/src/views/` | `upcoming.rs`, `archive.rs`, per-type list views |
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| `breadman/src/editor.rs` | Inline note editor popover |
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---
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## License
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MIT
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