mirror of
https://github.com/outbackdingo/optimclaw.git
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feat: add libSQL/Turso database backend with full feature parity
Introduce a Database trait abstraction (~60 async methods) enabling compile-time backend selection between PostgreSQL and libSQL/Turso. Convert all modules from concrete Store to Arc<dyn Database>, add LibSqlSecretsStore and LibSqlWasmToolStore implementations, wire libsql stores throughout CLI and main entry points, and make the setup wizard backend-agnostic. Key changes: - src/db/: Database trait, PostgresDatabase adapter, LibSqlBackend with native SQLite-dialect SQL, and idempotent migration system - src/secrets/store.rs: LibSqlSecretsStore (all 8 trait methods) - src/tools/wasm/storage.rs: LibSqlWasmToolStore (all 7 trait methods) - src/main.rs, cli/tool.rs, cli/mcp.rs: backend-conditional wiring - src/setup/channels.rs: SecretsContext uses Arc<dyn SecretsStore> - Feature-gate postgres-only tests and examples Co-Authored-By: Claude Opus 4.6 <[email protected]>
This commit is contained in:
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//! Database abstraction layer.
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//!
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//! Provides a backend-agnostic `Database` trait that unifies all persistence
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//! operations. Two implementations exist behind feature flags:
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//!
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//! - `postgres` (default): Uses `deadpool-postgres` + `tokio-postgres`
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//! - `libsql`: Uses libSQL (Turso's SQLite fork) for embedded/edge deployment
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//!
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//! The existing `Store`, `Repository`, `SecretsStore`, and `WasmToolStore`
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//! types become thin wrappers that delegate to `Arc<dyn Database>`.
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#[cfg(feature = "postgres")]
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pub mod postgres;
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#[cfg(feature = "libsql")]
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pub mod libsql_backend;
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#[cfg(feature = "libsql")]
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pub mod libsql_migrations;
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use std::collections::HashMap;
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use async_trait::async_trait;
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use chrono::{DateTime, Utc};
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use rust_decimal::Decimal;
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use uuid::Uuid;
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use crate::agent::routine::{Routine, RoutineRun, RunStatus};
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use crate::agent::BrokenTool;
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use crate::context::{ActionRecord, JobContext, JobState};
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use crate::error::DatabaseError;
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use crate::error::WorkspaceError;
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use crate::history::{
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ConversationMessage, ConversationSummary, JobEventRecord, LlmCallRecord, SandboxJobRecord,
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SandboxJobSummary, SettingRow,
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};
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use crate::workspace::{MemoryChunk, MemoryDocument, WorkspaceEntry};
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use crate::workspace::{SearchConfig, SearchResult};
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/// Backend-agnostic database trait.
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///
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/// Combines all persistence operations from Store, Repository, and related
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/// stores into a single trait that can be implemented for different backends.
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#[async_trait]
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pub trait Database: Send + Sync {
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/// Run schema migrations for this backend.
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async fn run_migrations(&self) -> Result<(), DatabaseError>;
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// ==================== Conversations ====================
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/// Create a new conversation.
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async fn create_conversation(
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&self,
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channel: &str,
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user_id: &str,
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thread_id: Option<&str>,
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) -> Result<Uuid, DatabaseError>;
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/// Update conversation last activity.
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async fn touch_conversation(&self, id: Uuid) -> Result<(), DatabaseError>;
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/// Add a message to a conversation.
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async fn add_conversation_message(
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&self,
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conversation_id: Uuid,
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role: &str,
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content: &str,
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) -> Result<Uuid, DatabaseError>;
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/// Ensure a conversation row exists (upsert).
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async fn ensure_conversation(
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&self,
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id: Uuid,
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channel: &str,
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user_id: &str,
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thread_id: Option<&str>,
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) -> Result<(), DatabaseError>;
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/// List conversations with a title preview.
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async fn list_conversations_with_preview(
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&self,
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user_id: &str,
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channel: &str,
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limit: i64,
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) -> Result<Vec<ConversationSummary>, DatabaseError>;
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/// Get or create the singleton assistant conversation.
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async fn get_or_create_assistant_conversation(
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&self,
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user_id: &str,
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channel: &str,
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) -> Result<Uuid, DatabaseError>;
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/// Create a conversation with specific metadata.
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async fn create_conversation_with_metadata(
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&self,
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channel: &str,
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user_id: &str,
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metadata: &serde_json::Value,
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) -> Result<Uuid, DatabaseError>;
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/// Load messages with cursor-based pagination.
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async fn list_conversation_messages_paginated(
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&self,
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conversation_id: Uuid,
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before: Option<DateTime<Utc>>,
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limit: i64,
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) -> Result<(Vec<ConversationMessage>, bool), DatabaseError>;
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/// Merge a single key into conversation metadata.
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async fn update_conversation_metadata_field(
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&self,
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id: Uuid,
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key: &str,
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value: &serde_json::Value,
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) -> Result<(), DatabaseError>;
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/// Read conversation metadata.
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async fn get_conversation_metadata(
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&self,
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id: Uuid,
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) -> Result<Option<serde_json::Value>, DatabaseError>;
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/// Load all messages for a conversation.
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async fn list_conversation_messages(
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&self,
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conversation_id: Uuid,
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) -> Result<Vec<ConversationMessage>, DatabaseError>;
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// ==================== Jobs ====================
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/// Save a job context.
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async fn save_job(&self, ctx: &JobContext) -> Result<(), DatabaseError>;
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/// Get a job by ID.
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async fn get_job(&self, id: Uuid) -> Result<Option<JobContext>, DatabaseError>;
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/// Update job status.
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async fn update_job_status(
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&self,
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id: Uuid,
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status: JobState,
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failure_reason: Option<&str>,
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) -> Result<(), DatabaseError>;
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/// Mark job as stuck.
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async fn mark_job_stuck(&self, id: Uuid) -> Result<(), DatabaseError>;
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/// Get stuck jobs.
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async fn get_stuck_jobs(&self) -> Result<Vec<Uuid>, DatabaseError>;
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// ==================== Actions ====================
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/// Save a job action.
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async fn save_action(
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&self,
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job_id: Uuid,
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action: &ActionRecord,
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) -> Result<(), DatabaseError>;
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/// Get actions for a job.
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async fn get_job_actions(
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&self,
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job_id: Uuid,
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) -> Result<Vec<ActionRecord>, DatabaseError>;
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// ==================== LLM Calls ====================
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/// Record an LLM call.
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async fn record_llm_call(&self, record: &LlmCallRecord<'_>) -> Result<Uuid, DatabaseError>;
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// ==================== Estimation Snapshots ====================
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/// Save an estimation snapshot.
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async fn save_estimation_snapshot(
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&self,
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job_id: Uuid,
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category: &str,
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tool_names: &[String],
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estimated_cost: Decimal,
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estimated_time_secs: i32,
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estimated_value: Decimal,
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) -> Result<Uuid, DatabaseError>;
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/// Update estimation snapshot with actual values.
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async fn update_estimation_actuals(
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&self,
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id: Uuid,
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actual_cost: Decimal,
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actual_time_secs: i32,
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actual_value: Option<Decimal>,
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) -> Result<(), DatabaseError>;
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// ==================== Sandbox Jobs ====================
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/// Insert a new sandbox job.
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async fn save_sandbox_job(&self, job: &SandboxJobRecord) -> Result<(), DatabaseError>;
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/// Get a sandbox job by ID.
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async fn get_sandbox_job(
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&self,
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id: Uuid,
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) -> Result<Option<SandboxJobRecord>, DatabaseError>;
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/// List all sandbox jobs, most recent first.
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async fn list_sandbox_jobs(&self) -> Result<Vec<SandboxJobRecord>, DatabaseError>;
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/// Update sandbox job status.
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async fn update_sandbox_job_status(
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&self,
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id: Uuid,
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status: &str,
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success: Option<bool>,
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message: Option<&str>,
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started_at: Option<DateTime<Utc>>,
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completed_at: Option<DateTime<Utc>>,
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) -> Result<(), DatabaseError>;
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/// Mark stale sandbox jobs as interrupted.
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async fn cleanup_stale_sandbox_jobs(&self) -> Result<u64, DatabaseError>;
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/// Get sandbox job summary.
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async fn sandbox_job_summary(&self) -> Result<SandboxJobSummary, DatabaseError>;
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/// Update sandbox job mode.
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async fn update_sandbox_job_mode(
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&self,
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id: Uuid,
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mode: &str,
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) -> Result<(), DatabaseError>;
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/// Get sandbox job mode.
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async fn get_sandbox_job_mode(
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&self,
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id: Uuid,
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) -> Result<Option<String>, DatabaseError>;
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// ==================== Job Events ====================
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/// Persist a job event.
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async fn save_job_event(
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&self,
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job_id: Uuid,
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event_type: &str,
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data: &serde_json::Value,
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) -> Result<(), DatabaseError>;
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/// Load all job events.
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async fn list_job_events(
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&self,
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job_id: Uuid,
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) -> Result<Vec<JobEventRecord>, DatabaseError>;
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// ==================== Routines ====================
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/// Create a new routine.
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async fn create_routine(&self, routine: &Routine) -> Result<(), DatabaseError>;
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/// Get a routine by ID.
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async fn get_routine(&self, id: Uuid) -> Result<Option<Routine>, DatabaseError>;
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/// Get a routine by user_id and name.
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async fn get_routine_by_name(
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&self,
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user_id: &str,
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name: &str,
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) -> Result<Option<Routine>, DatabaseError>;
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/// List routines for a user.
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async fn list_routines(&self, user_id: &str) -> Result<Vec<Routine>, DatabaseError>;
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/// List all enabled event routines.
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async fn list_event_routines(&self) -> Result<Vec<Routine>, DatabaseError>;
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/// List due cron routines.
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async fn list_due_cron_routines(&self) -> Result<Vec<Routine>, DatabaseError>;
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/// Update a routine.
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async fn update_routine(&self, routine: &Routine) -> Result<(), DatabaseError>;
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/// Update runtime state after a routine fires.
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async fn update_routine_runtime(
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&self,
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id: Uuid,
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last_run_at: DateTime<Utc>,
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next_fire_at: Option<DateTime<Utc>>,
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run_count: u64,
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consecutive_failures: u32,
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state: &serde_json::Value,
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) -> Result<(), DatabaseError>;
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/// Delete a routine.
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async fn delete_routine(&self, id: Uuid) -> Result<bool, DatabaseError>;
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// ==================== Routine Runs ====================
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/// Record a routine run starting.
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async fn create_routine_run(&self, run: &RoutineRun) -> Result<(), DatabaseError>;
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/// Complete a routine run.
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async fn complete_routine_run(
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&self,
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id: Uuid,
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status: RunStatus,
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result_summary: Option<&str>,
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tokens_used: Option<i32>,
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) -> Result<(), DatabaseError>;
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/// List recent runs for a routine.
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async fn list_routine_runs(
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&self,
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routine_id: Uuid,
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limit: i64,
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) -> Result<Vec<RoutineRun>, DatabaseError>;
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/// Count currently running runs for a routine.
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async fn count_running_routine_runs(
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&self,
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routine_id: Uuid,
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) -> Result<i64, DatabaseError>;
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// ==================== Tool Failures ====================
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/// Record a tool failure (upsert).
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async fn record_tool_failure(
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&self,
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tool_name: &str,
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error_message: &str,
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) -> Result<(), DatabaseError>;
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/// Get broken tools exceeding threshold.
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async fn get_broken_tools(
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&self,
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threshold: i32,
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) -> Result<Vec<BrokenTool>, DatabaseError>;
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/// Mark a tool as repaired.
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async fn mark_tool_repaired(&self, tool_name: &str) -> Result<(), DatabaseError>;
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/// Increment repair attempts.
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async fn increment_repair_attempts(&self, tool_name: &str) -> Result<(), DatabaseError>;
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// ==================== Settings ====================
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/// Get a single setting.
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async fn get_setting(
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&self,
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user_id: &str,
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key: &str,
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) -> Result<Option<serde_json::Value>, DatabaseError>;
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/// Get a single setting with metadata.
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async fn get_setting_full(
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&self,
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user_id: &str,
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key: &str,
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) -> Result<Option<SettingRow>, DatabaseError>;
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/// Set a single setting (upsert).
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async fn set_setting(
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&self,
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user_id: &str,
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key: &str,
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value: &serde_json::Value,
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) -> Result<(), DatabaseError>;
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/// Delete a single setting.
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async fn delete_setting(
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&self,
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user_id: &str,
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key: &str,
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) -> Result<bool, DatabaseError>;
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/// List all settings for a user.
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async fn list_settings(
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&self,
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user_id: &str,
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) -> Result<Vec<SettingRow>, DatabaseError>;
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/// Get all settings as a flat map.
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async fn get_all_settings(
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&self,
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user_id: &str,
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) -> Result<HashMap<String, serde_json::Value>, DatabaseError>;
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/// Bulk-write settings atomically.
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async fn set_all_settings(
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&self,
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user_id: &str,
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settings: &HashMap<String, serde_json::Value>,
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) -> Result<(), DatabaseError>;
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/// Check if settings exist for a user.
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async fn has_settings(&self, user_id: &str) -> Result<bool, DatabaseError>;
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// ==================== Workspace: Documents ====================
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/// Get a document by path.
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async fn get_document_by_path(
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&self,
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user_id: &str,
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agent_id: Option<Uuid>,
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path: &str,
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) -> Result<MemoryDocument, WorkspaceError>;
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/// Get a document by ID.
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async fn get_document_by_id(&self, id: Uuid) -> Result<MemoryDocument, WorkspaceError>;
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/// Get or create a document by path.
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async fn get_or_create_document_by_path(
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&self,
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user_id: &str,
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agent_id: Option<Uuid>,
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path: &str,
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) -> Result<MemoryDocument, WorkspaceError>;
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/// Update a document's content.
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async fn update_document(&self, id: Uuid, content: &str) -> Result<(), WorkspaceError>;
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/// Delete a document by path.
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async fn delete_document_by_path(
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&self,
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user_id: &str,
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agent_id: Option<Uuid>,
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path: &str,
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) -> Result<(), WorkspaceError>;
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/// List files and directories in a directory path.
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async fn list_directory(
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&self,
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user_id: &str,
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agent_id: Option<Uuid>,
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directory: &str,
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) -> Result<Vec<WorkspaceEntry>, WorkspaceError>;
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/// List all file paths in the workspace.
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async fn list_all_paths(
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&self,
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user_id: &str,
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agent_id: Option<Uuid>,
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) -> Result<Vec<String>, WorkspaceError>;
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/// List all documents for a user.
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async fn list_documents(
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&self,
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user_id: &str,
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agent_id: Option<Uuid>,
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) -> Result<Vec<MemoryDocument>, WorkspaceError>;
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// ==================== Workspace: Chunks ====================
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/// Delete all chunks for a document.
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async fn delete_chunks(&self, document_id: Uuid) -> Result<(), WorkspaceError>;
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/// Insert a chunk.
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async fn insert_chunk(
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&self,
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document_id: Uuid,
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chunk_index: i32,
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content: &str,
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embedding: Option<&[f32]>,
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) -> Result<Uuid, WorkspaceError>;
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/// Update a chunk's embedding.
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async fn update_chunk_embedding(
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&self,
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chunk_id: Uuid,
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embedding: &[f32],
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) -> Result<(), WorkspaceError>;
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/// Get chunks without embeddings for backfilling.
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async fn get_chunks_without_embeddings(
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&self,
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user_id: &str,
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agent_id: Option<Uuid>,
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limit: usize,
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) -> Result<Vec<MemoryChunk>, WorkspaceError>;
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// ==================== Workspace: Search ====================
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/// Perform hybrid search combining FTS and vector similarity.
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async fn hybrid_search(
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&self,
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user_id: &str,
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agent_id: Option<Uuid>,
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query: &str,
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embedding: Option<&[f32]>,
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config: &SearchConfig,
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) -> Result<Vec<SearchResult>, WorkspaceError>;
|
||||
}
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