Five-slice navigable map of the entire codebase under
docs/architecture-map/. Each slice is a self-contained
breadcrumbed sub-tree:
01-frontend (16) Svelte/SvelteKit UI
02-tauri-runtime (26) src-tauri commands + lifecycle
03-audio-transcription (16) audio + transcription crates
04-llm-formatting-mcp (19) llm, ai-formatting, mcp, cloud
05-core-storage-hotkey-build core, storage, hotkey, workspace,
(26) CI, dev glue
Plus master README.md and data-flow-end-to-end.md tracing
audio bytes from microphone to FTS5 search to MCP read.
Generated by 5 parallel subagents on 2026/05/09 against
HEAD 3c47000. Each page has YAML frontmatter, file:line code
refs, sibling cross-links, plain-English summaries.
Aggregated debt surfaced (full lists in master README):
RB-08 macOS power assertion, schema head drift v14 vs v15,
VAD blocked on ort version conflict, streaming primitives
not wired into live.rs, no prompt versioning, MCP has no
auth, cloud-providers in-memory keystore, SettingsPage
2 484 LOC, commands/live.rs 1 737 LOC, dual theme system,
brand rename to Lumenote pending across the codebase.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
4.3 KiB
name, type, slice, last_verified
| name | type | slice | last_verified |
|---|---|---|---|
| HITL feedback | architecture-map-page | 02-tauri-runtime | 2026/05/09 |
commands::feedback
Where you are: Architecture map → Tauri runtime → Commands → Feedback
Plain English summary. Phase 2: thumbs + correction capture on AI-generated output (microsteps from a task decomposition, task lines extracted from a transcript, or LLM cleanup). The captured rows feed a few-shot loop: subsequent prompts are conditioned on the user's preferred style by injecting the (input, preferred-output) pairs as exemplars.
At a glance
- Path:
src-tauri/src/commands/feedback.rs. - LOC: 110.
- Tauri commands exposed:
record_feedback(state, input: RecordFeedbackInput) -> Result<i64, String>— returns the new row id.list_feedback_examples_cmd(state, target_type, limit, min_rating, profile_id) -> Result<Vec<FeedbackDto>, String>.
- Events emitted: none.
- Depends on:
magnotia_storage::{record_feedback, list_feedback_examples, FeedbackRow, FeedbackTargetType, RecordFeedbackParams}. - Called from frontend at: dictation result panel (thumb up/down + correction-text on cleanup); Tasks page (thumb on extracted tasks and decomposed microsteps).
What's in here
RecordFeedbackInput (src-tauri/src/commands/feedback.rs:15)
Frontend-supplied shape:
targetType:"microstep" | "task_extraction" | "cleanup". Parsed viaFeedbackTargetType::parse.targetId: optional surface-specific id (subtask id, task id, transcript id).rating:-1(thumbs down),0(correction, neutral),+1(thumbs up).originalText: the AI-generated text the user is rating.correctedText: the user's preferred text (when they corrected it).contextJson: freeform JSON used by the prompt builder later to reconstruct the (input, preferred-output) pair.profileId: scopes the row.
FeedbackDto (:38)
camelCase mirror of FeedbackRow. Note rating widens to i64 in the DTO (storage uses i64).
parse_target_type (:68)
Wraps FeedbackTargetType::parse(raw), returning "unknown feedback target_type: <raw>" on miss.
record_feedback (:73)
parse_target_type then db_record_feedback. Returns the row id.
list_feedback_examples_cmd (:95)
Clamps limit to [1, 64], defaults 8. Clamps min_rating to [-1, 1], default 0. Calls db_list_feedback_examples. Returns FeedbackDtos. Used by the commands::tasks few-shot exemplar pull and would be used by the equivalent in commands::llm if/when cleanup gets its own exemplar path.
Data flow
dictation result thumbs-up -> invoke('record_feedback', { targetType: 'cleanup', rating: +1, originalText, correctedText, contextJson, profileId })
-> magnotia_storage::record_feedback -> row id
decomposition thumbs-down + correction -> record_feedback({ targetType: 'microstep', rating: 0, originalText, correctedText: "user's preferred wording", contextJson: {parent_text}, profileId })
next decompose call -> list_feedback_examples_cmd('microstep', 5, 0, profile_id)
-> [FeedbackDto, ...] -> few-shot exemplars
Watch-outs
- No
ensure_main_windowguard. Tasks float and History viewer secondary windows can also fire feedback. Intentional. If you ever want to lock down feedback writes, this is where to add the guard. contextJsonis freeform. Storage stores the raw string.commands::tasks::to_llm_examplesparses it and skips rows that are malformed. Bad data therefore degrades gracefully but doesn't surface to the user. Theeprintln!into_llm_examplesis the only visibility.min_ratingclamp is[-1, 1]. Pass1to get only thumbs-up examples,0for thumbs-up + corrections,-1for everything. The default of0is whatcommands::taskspicks.- No deduplication. A user thumbs-upping the same output twice creates two rows. The exemplar trim in
commands::tasksdoes not dedupe byoriginalText. If two identical exemplars steal slots, that's just lost prompt budget.