Major quality pass on top of Phase 2. Five substantive changes plus
cross-cutting touches across audio, hotkey, transcription, and Tauri
command layers.
Transcription quality
- Long-audio chunking in commands/transcription.rs: Parakeet and large
file transcription now chunk-and-recompose with overlap trimming, so
the live-path chunking advantage extends to file-based workflows.
- Stateful live speech gate in commands/live.rs on top of the earlier
duplicate-boundary filtering — distinguishes start-of-speech from
mid-speech and holds state across chunks.
Auto-learning corrections
- New crates/ai-formatting/src/correction_learning.rs: extracts user
text corrections from viewer edits and proposes additions to the
active profile's vocabulary.
- src-tauri/src/commands/profiles.rs bridge for frontend-driven
confirmation of learned terms.
- src/routes/viewer/+page.svelte hooks the learning path into the
segment-edit flow so corrections feed profile_terms without a
separate 'train this profile' UX.
Transcript profile provenance
- Migration v8 (crates/storage/src/migrations.rs) adds profile_id to
transcripts, defaulting to DEFAULT_PROFILE_ID so existing rows stay
valid.
- crates/storage/src/database.rs: TranscriptRow + CRUD carry profile_id.
- src-tauri/src/commands/transcripts.rs: add_transcript accepts and
persists profile_id.
- DictationPage.svelte + FilesPage.svelte send activeProfileId on
capture so learned corrections are attributed to the right profile.
Cleanup prompt contract
- crates/ai-formatting/src/llm_client.rs hardened: the CLEANUP_PROMPT
now specifies concrete do/do-not rules, ready for a real model-backed
cleanup pass. The llm_client is still a stub — kon-llm remains unwired
— but the prompt shape is final.
Cross-cutting polish
- Minor touches in audio (capture/decode/resample), hotkey (lib/linux/stub),
core, transcription (concurrency/model_manager/local_engine/whisper_rs),
and the rest of src-tauri/src/commands/*: error-path tightening, log
clarity, TS-migration follow-ups (@ts-nocheck additions for incremental
typing).
Verified locally: npm run check, cargo test -p kon-ai-formatting,
cargo test -p kon-storage, cargo test -p kon --lib commands::live::tests,
cargo check — all green.
Scope boundary: kon-llm crate is still a stub; task extraction remains
rule-based. Bundled local-LLM runtime is the next clean step and is not
in this commit.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
218 lines
6.1 KiB
Rust
218 lines
6.1 KiB
Rust
// Tauri commands wrapping kon_storage task CRUD.
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// Pattern mirrors transcripts.rs — TaskDto is the camelCase frontend shape,
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// storage functions are aliased with db_ prefix to avoid name collisions.
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use serde::{Deserialize, Serialize};
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use uuid::Uuid;
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use kon_storage::{
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complete_subtask_and_check_parent as db_complete_subtask, complete_task as db_complete_task,
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delete_task as db_delete_task, get_task_by_id as db_get_task,
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insert_subtask as db_insert_subtask, insert_task as db_insert_task,
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list_subtasks as db_list_subtasks, list_tasks as db_list_tasks,
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uncomplete_task as db_uncomplete_task, update_task as db_update_task, TaskRow,
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};
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use crate::AppState;
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/// Frontend-facing task shape. Matches the in-memory object in page.svelte.js.
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#[derive(Debug, Clone, Serialize)]
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#[serde(rename_all = "camelCase")]
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pub struct TaskDto {
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pub id: String,
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pub text: String,
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pub bucket: String,
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pub list_id: Option<String>,
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pub effort: Option<String>,
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pub notes: String,
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pub done: bool,
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pub done_at: Option<String>,
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pub created_at: String,
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pub source_transcript_id: Option<String>,
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pub parent_task_id: Option<String>,
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}
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impl From<TaskRow> for TaskDto {
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fn from(r: TaskRow) -> Self {
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Self {
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id: r.id,
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text: r.text,
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bucket: r.bucket,
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list_id: r.list_id,
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effort: r.effort,
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notes: r.notes,
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done: r.done,
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done_at: r.done_at,
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created_at: r.created_at,
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source_transcript_id: r.source_transcript_id,
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parent_task_id: r.parent_task_id,
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}
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}
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}
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#[derive(Debug, Deserialize)]
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#[serde(rename_all = "camelCase")]
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pub struct CreateTaskRequest {
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pub id: String,
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pub text: String,
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pub bucket: String,
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#[serde(default)]
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pub source_transcript_id: Option<String>,
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#[serde(default)]
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pub list_id: Option<String>,
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#[serde(default)]
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pub effort: Option<String>,
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}
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#[tauri::command]
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pub async fn create_task_cmd(
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state: tauri::State<'_, AppState>,
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request: CreateTaskRequest,
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) -> Result<TaskDto, String> {
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db_insert_task(
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&state.db,
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&request.id,
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&request.text,
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&request.bucket,
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request.source_transcript_id.as_deref(),
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request.list_id.as_deref(),
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request.effort.as_deref(),
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)
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.await
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.map_err(|e| e.to_string())?;
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// Fetch the freshly-inserted row so the frontend can stop doing
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// client-side object construction. Mirrors list_tasks_cmd's shape.
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db_get_task(&state.db, &request.id)
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.await
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.map_err(|e| e.to_string())?
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.map(TaskDto::from)
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.ok_or_else(|| format!("Task {} not found after insert", request.id))
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}
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/// Patch-shaped update. Any field omitted (or explicit `null`) leaves the
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/// column untouched via `COALESCE` in the storage layer. Matches
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/// `update_transcript`'s partial-update philosophy. `done` / `doneAt` are
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/// intentionally absent — those flow through `complete_task_cmd` /
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/// `uncomplete_task_cmd` to stamp the server-side timestamp.
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#[derive(Debug, Deserialize)]
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#[serde(rename_all = "camelCase")]
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pub struct UpdateTaskRequest {
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#[serde(default)]
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pub text: Option<String>,
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#[serde(default)]
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pub bucket: Option<String>,
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#[serde(default)]
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pub list_id: Option<String>,
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#[serde(default)]
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pub effort: Option<String>,
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#[serde(default)]
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pub notes: Option<String>,
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}
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#[tauri::command]
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pub async fn update_task_cmd(
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state: tauri::State<'_, AppState>,
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id: String,
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patch: UpdateTaskRequest,
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) -> Result<TaskDto, String> {
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let row = db_update_task(
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&state.db,
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&id,
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patch.text.as_deref(),
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patch.bucket.as_deref(),
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patch.list_id.as_deref(),
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patch.effort.as_deref(),
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patch.notes.as_deref(),
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)
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.await
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.map_err(|e| e.to_string())?;
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Ok(TaskDto::from(row))
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}
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#[tauri::command]
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pub async fn list_tasks_cmd(state: tauri::State<'_, AppState>) -> Result<Vec<TaskDto>, String> {
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db_list_tasks(&state.db)
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.await
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.map(|rows| rows.into_iter().map(TaskDto::from).collect())
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.map_err(|e| e.to_string())
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}
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#[tauri::command]
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pub async fn complete_task_cmd(
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state: tauri::State<'_, AppState>,
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id: String,
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) -> Result<(), String> {
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db_complete_task(&state.db, &id)
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.await
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.map_err(|e| e.to_string())
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}
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#[tauri::command]
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pub async fn delete_task_cmd(state: tauri::State<'_, AppState>, id: String) -> Result<(), String> {
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db_delete_task(&state.db, &id)
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.await
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.map_err(|e| e.to_string())
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}
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#[tauri::command]
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pub async fn uncomplete_task_cmd(
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state: tauri::State<'_, AppState>,
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id: String,
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) -> Result<(), String> {
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db_uncomplete_task(&state.db, &id)
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.await
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.map_err(|e| e.to_string())
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}
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#[tauri::command]
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pub async fn decompose_and_store(
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state: tauri::State<'_, AppState>,
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parent_task_id: String,
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) -> Result<Vec<TaskDto>, String> {
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let parent = db_get_task(&state.db, &parent_task_id)
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.await
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.map_err(|e| e.to_string())?
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.ok_or_else(|| format!("Task {parent_task_id} not found"))?;
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let steps = state.llm_engine.decompose_task(&parent.text)?;
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let mut created = Vec::new();
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for text in steps {
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let id = Uuid::new_v4().to_string();
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db_insert_subtask(&state.db, &id, &text, &parent_task_id)
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.await
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.map_err(|e| e.to_string())?;
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if let Some(row) = db_get_task(&state.db, &id)
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.await
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.map_err(|e| e.to_string())?
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{
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created.push(TaskDto::from(row));
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}
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}
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Ok(created)
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}
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#[tauri::command]
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pub async fn list_subtasks_cmd(
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state: tauri::State<'_, AppState>,
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parent_task_id: String,
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) -> Result<Vec<TaskDto>, String> {
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db_list_subtasks(&state.db, &parent_task_id)
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.await
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.map(|rows| rows.into_iter().map(TaskDto::from).collect())
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.map_err(|e| e.to_string())
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}
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#[tauri::command]
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pub async fn complete_subtask_cmd(
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state: tauri::State<'_, AppState>,
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subtask_id: String,
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) -> Result<(), String> {
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db_complete_subtask(&state.db, &subtask_id)
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.await
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.map_err(|e| e.to_string())
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}
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