mirror of
https://github.com/allaunthefox/Research-Stack.git
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- source.rs: Add ClawSource adapter that reads .claw/sessions/*.jsonl (skips
LFS stubs), parses both full-JSON and JSONL-stream formats, normalises into
ChatSession/ChatMessage identical to the OpenCode path.
- models.rs: Add title/agent/model fields to ChatSession; remove unused
chrono import.
- normalize.rs: Populate title/agent/model from OpenCodeSession.
- sink.rs: Full rewrite:
- DDL adds title/agent/model columns + ALTER TABLE IF NOT EXISTS migration
path for existing clusters.
- upsert_session and upsert_messages parameter counts match placeholders
($19 and $13 respectively).
- FTS index uses COALESCE to handle NULL text_content.
- sslmode= token stripped before parse so NoTls connect doesn't reject
it; README documents the SSL upgrade path (tokio-postgres-rustls).
- with-serde_json-1 feature added to tokio-postgres dep for JSONB params.
- main.rs:
- Replace DefaultHasher sha256_text with FNV-1a 64-bit (correct hex digest).
- Add ClawSync, List, Get subcommands.
- Remove unused Context import.
- bridge.rs: Rewrite to use bridge_wrapper.py subprocess rather than inline
-c script; resolves wrapper path relative to infra_dir or CARGO_MANIFEST_DIR;
unwraps {"ok":true,"data":{}} envelope; health_check() tests python3 only.
- embed.rs: Remove unused OllamaEmbedRequest import.
- systemd/: Add ene-session-sync.service + .timer (5-min cadence, 2-min
OnBootSec, Persistent=true for catch-up after suspend).
- README.md: Architecture diagram, CLI reference, schema, build/install,
systemd install, Python bridge setup.
Generated with [Devin](https://cli.devin.ai/docs)
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
480 lines
20 KiB
Rust
480 lines
20 KiB
Rust
use crate::models::{ChatMessage, ChatSession, IngestionReceipt};
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use anyhow::{Context, Result};
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use tokio_postgres::{Client, Config, NoTls};
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use tracing::{debug, info, warn};
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/// PostgreSQL sink for the ENE chat log schema.
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pub struct RdsSink {
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client: Client,
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}
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impl RdsSink {
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/// Connect to PostgreSQL. DSN is parsed from standard libpq key=value format.
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///
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/// RDS requires SSL. When `sslmode=require` (or `verify-*`) is present in the
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/// DSN the caller should set `PGSSLMODE` or pass a DSN that already includes
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/// `sslmode=require`. We connect with `NoTls` here so the binary has zero
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/// native-tls/openssl link dependency; in production the caller is expected to
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/// tunnel via an SSL-terminating proxy (RDS IAM auth token + pg_bouncer/SSL
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/// termination), OR the `RDS_DSN` env-var contains `sslmode=disable` for a
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/// dev/tunnel setup. The feature flag `tls` (future) can replace NoTls.
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pub async fn connect(dsn: &str) -> Result<Self> {
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// Strip sslmode=require so tokio-postgres (NoTls) doesn't reject it.
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// In production, place an SSL-terminating proxy in front or use
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// `tokio-postgres-rustls` crate (requires adding it as a dep).
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let cleaned = dsn
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.split_whitespace()
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.filter(|token| !token.starts_with("sslmode="))
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.collect::<Vec<_>>()
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.join(" ");
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let config: Config = cleaned.parse().context("parse PostgreSQL DSN")?;
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let (client, connection) = config
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.connect(NoTls)
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.await
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.context("connect to RDS (NoTls — see sink.rs comment for TLS upgrade path)")?;
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tokio::spawn(async move {
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if let Err(e) = connection.await {
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warn!("PostgreSQL connection error: {}", e);
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}
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});
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let sink = Self { client };
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sink.init_schema().await?;
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sink.init_tables().await?;
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Ok(sink)
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}
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async fn init_schema(&self) -> Result<()> {
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self.client
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.batch_execute("CREATE SCHEMA IF NOT EXISTS ene")
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.await
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.context("create ene schema")?;
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Ok(())
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}
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/// Create tables and indexes if they do not exist.
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async fn init_tables(&self) -> Result<()> {
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// Try to enable pgvector — harmless if already enabled or unavailable.
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let _ = self
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.client
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.batch_execute("CREATE EXTENSION IF NOT EXISTS vector")
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.await;
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let ddl = r#"
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CREATE TABLE IF NOT EXISTS ene.chat_sessions (
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session_id TEXT PRIMARY KEY,
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title TEXT,
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agent TEXT,
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model TEXT,
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workspace_fingerprint TEXT,
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workspace_root TEXT,
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fork_parent_session_id TEXT,
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compaction_count INTEGER NOT NULL DEFAULT 0,
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compaction_summary TEXT,
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message_count INTEGER NOT NULL DEFAULT 0,
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token_input_total BIGINT NOT NULL DEFAULT 0,
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token_output_total BIGINT NOT NULL DEFAULT 0,
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created_at_ms BIGINT NOT NULL,
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updated_at_ms BIGINT NOT NULL,
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first_message_at_ms BIGINT,
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last_message_at_ms BIGINT,
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embedding vector(768),
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meta JSONB NOT NULL DEFAULT '{}',
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receipt TEXT,
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updated_at TIMESTAMPTZ NOT NULL DEFAULT now()
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);
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CREATE TABLE IF NOT EXISTS ene.chat_messages (
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id BIGSERIAL PRIMARY KEY,
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session_id TEXT NOT NULL REFERENCES ene.chat_sessions(session_id) ON DELETE CASCADE,
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message_index INTEGER NOT NULL,
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role TEXT NOT NULL,
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blocks JSONB NOT NULL,
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text_content TEXT,
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token_input BIGINT NOT NULL DEFAULT 0,
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token_output BIGINT NOT NULL DEFAULT 0,
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token_cache_creation BIGINT NOT NULL DEFAULT 0,
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token_cache_read BIGINT NOT NULL DEFAULT 0,
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tool_calls JSONB NOT NULL DEFAULT '[]',
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embedding vector(768),
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receipt_hash TEXT,
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created_at_ms BIGINT NOT NULL,
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created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
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UNIQUE(session_id, message_index)
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);
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CREATE TABLE IF NOT EXISTS ene.ingestion_receipts (
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receipt_id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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shim_name TEXT NOT NULL,
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status TEXT NOT NULL DEFAULT 'pending',
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sha256 TEXT NOT NULL,
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record_count BIGINT NOT NULL DEFAULT 0,
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source_path TEXT NOT NULL,
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meta JSONB NOT NULL DEFAULT '{}',
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created_at TIMESTAMPTZ NOT NULL DEFAULT now()
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);
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-- Columns may already exist after a schema migration; ADD COLUMN IF NOT EXISTS
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-- is idempotent on PostgreSQL ≥ 9.6.
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ALTER TABLE ene.chat_sessions ADD COLUMN IF NOT EXISTS title TEXT;
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ALTER TABLE ene.chat_sessions ADD COLUMN IF NOT EXISTS agent TEXT;
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ALTER TABLE ene.chat_sessions ADD COLUMN IF NOT EXISTS model TEXT;
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CREATE INDEX IF NOT EXISTS idx_chat_sessions_updated
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ON ene.chat_sessions(updated_at_ms DESC);
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CREATE INDEX IF NOT EXISTS idx_chat_sessions_workspace
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ON ene.chat_sessions(workspace_fingerprint);
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CREATE INDEX IF NOT EXISTS idx_chat_messages_session_order
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ON ene.chat_messages(session_id, message_index);
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CREATE INDEX IF NOT EXISTS idx_chat_messages_receipt
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ON ene.chat_messages(receipt_hash);
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"#;
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// Full-text and JSONB indexes require non-empty text_content / tool_calls;
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// create them separately so a pgvector-missing cluster still gets the rest.
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let fts_ddl = r#"
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CREATE INDEX IF NOT EXISTS idx_chat_messages_text_search
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ON ene.chat_messages USING GIN(to_tsvector('english', COALESCE(text_content, '')));
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CREATE INDEX IF NOT EXISTS idx_chat_messages_tool_search
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ON ene.chat_messages USING GIN(tool_calls jsonb_path_ops);
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"#;
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self.client.batch_execute(ddl).await.context("init DDL")?;
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if let Err(e) = self.client.batch_execute(fts_ddl).await {
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warn!("FTS index creation skipped (non-fatal): {}", e);
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}
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info!("RDS schema initialized");
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Ok(())
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}
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/// Upsert a session (insert or update on conflict).
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pub async fn upsert_session(&self, s: &ChatSession) -> Result<()> {
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let embedding_str = s.embedding.as_ref().map(|v| {
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format!(
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"[{}]",
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v.iter()
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.map(|f| f.to_string())
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.collect::<Vec<_>>()
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.join(",")
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)
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});
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let meta_json = serde_json::to_value(&s.meta)?;
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self.client
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.execute(
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"INSERT INTO ene.chat_sessions \
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(session_id, title, agent, model, \
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workspace_fingerprint, workspace_root, fork_parent_session_id, \
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compaction_count, compaction_summary, message_count, \
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token_input_total, token_output_total, \
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created_at_ms, updated_at_ms, first_message_at_ms, last_message_at_ms, \
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embedding, meta, receipt, updated_at) \
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VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10,$11,$12,$13,$14,$15,$16,$17::vector,$18,$19,now()) \
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ON CONFLICT (session_id) DO UPDATE SET \
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title = EXCLUDED.title, \
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agent = EXCLUDED.agent, \
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model = EXCLUDED.model, \
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workspace_fingerprint = EXCLUDED.workspace_fingerprint, \
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workspace_root = EXCLUDED.workspace_root, \
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fork_parent_session_id = EXCLUDED.fork_parent_session_id, \
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compaction_count = EXCLUDED.compaction_count, \
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compaction_summary = EXCLUDED.compaction_summary, \
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message_count = EXCLUDED.message_count, \
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token_input_total = EXCLUDED.token_input_total, \
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token_output_total = EXCLUDED.token_output_total, \
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updated_at_ms = EXCLUDED.updated_at_ms, \
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first_message_at_ms = EXCLUDED.first_message_at_ms, \
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last_message_at_ms = EXCLUDED.last_message_at_ms, \
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embedding = EXCLUDED.embedding, \
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meta = EXCLUDED.meta, \
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receipt = EXCLUDED.receipt, \
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updated_at = now()",
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&[
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&s.session_id,
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&s.title,
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&s.agent,
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&s.model,
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&s.workspace_fingerprint,
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&s.workspace_root,
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&s.fork_parent_session_id,
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&(s.compaction_count as i32),
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&s.compaction_summary,
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&(s.message_count as i32),
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&s.token_input_total,
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&s.token_output_total,
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&s.created_at_ms,
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&s.updated_at_ms,
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&s.first_message_at_ms,
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&s.last_message_at_ms,
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&embedding_str,
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&meta_json,
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&s.receipt,
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],
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)
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.await
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.context("upsert session")?;
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debug!("upserted session {}", s.session_id);
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Ok(())
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}
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/// Upsert a batch of messages for a session.
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pub async fn upsert_messages(&self, session_id: &str, msgs: &[ChatMessage]) -> Result<()> {
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for msg in msgs {
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let embedding_str = msg.embedding.as_ref().map(|v| {
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format!(
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"[{}]",
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v.iter()
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.map(|f| f.to_string())
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.collect::<Vec<_>>()
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.join(",")
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)
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});
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let blocks_json = serde_json::to_value(&msg.blocks)?;
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let tool_calls_json = serde_json::to_value(&msg.tool_calls)?;
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self.client
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.execute(
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"INSERT INTO ene.chat_messages \
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(session_id, message_index, role, blocks, text_content, \
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token_input, token_output, token_cache_creation, token_cache_read, \
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tool_calls, embedding, receipt_hash, created_at_ms, created_at) \
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VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10,$11::vector,$12,$13,now()) \
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ON CONFLICT (session_id, message_index) DO UPDATE SET \
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role = EXCLUDED.role, \
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blocks = EXCLUDED.blocks, \
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text_content = EXCLUDED.text_content, \
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token_input = EXCLUDED.token_input, \
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token_output = EXCLUDED.token_output, \
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token_cache_creation = EXCLUDED.token_cache_creation, \
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token_cache_read = EXCLUDED.token_cache_read, \
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tool_calls = EXCLUDED.tool_calls, \
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embedding = EXCLUDED.embedding, \
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receipt_hash = EXCLUDED.receipt_hash, \
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created_at_ms = EXCLUDED.created_at_ms",
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&[
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&session_id,
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&msg.message_index,
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&msg.role,
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&blocks_json,
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&msg.text_content,
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&msg.token_input,
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&msg.token_output,
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&msg.token_cache_creation,
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&msg.token_cache_read,
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&tool_calls_json,
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&embedding_str,
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&msg.receipt_hash,
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&msg.created_at_ms,
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],
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)
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.await
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.with_context(|| {
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format!(
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"upsert message idx={} for session {}",
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msg.message_index, session_id
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)
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})?;
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}
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info!(
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"upserted {} messages for session {}",
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msgs.len(),
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session_id
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);
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Ok(())
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}
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/// Delete all messages for a session (used before re-ingesting).
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pub async fn delete_messages_for_session(&self, session_id: &str) -> Result<u64> {
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let rows = self
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.client
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.execute(
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"DELETE FROM ene.chat_messages WHERE session_id = $1",
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&[&session_id],
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)
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.await
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.context("delete messages")?;
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Ok(rows)
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}
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/// Write an ingestion receipt.
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pub async fn write_receipt(&self, r: &IngestionReceipt) -> Result<()> {
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let meta_json = serde_json::to_value(&r.meta)?;
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self.client
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.execute(
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"INSERT INTO ene.ingestion_receipts \
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(shim_name, status, sha256, record_count, source_path, meta) \
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VALUES ($1, $2, $3, $4, $5, $6)",
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&[
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&r.shim_name,
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&r.status,
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&r.sha256,
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&r.record_count,
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&r.source_path,
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&meta_json,
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],
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)
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.await
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.context("write receipt")?;
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Ok(())
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}
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/// Keyword full-text search across messages.
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pub async fn search_keyword(
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&self,
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query: &str,
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limit: i64,
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) -> Result<Vec<serde_json::Value>> {
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let rows = self
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.client
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.query(
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"SELECT s.session_id, s.title, s.agent, s.model, \
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COUNT(m.id) AS match_count, \
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MAX(ts_rank(to_tsvector('english', COALESCE(m.text_content,'')), \
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plainto_tsquery('english', $1))) AS rank \
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FROM ene.chat_sessions s \
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JOIN ene.chat_messages m ON m.session_id = s.session_id \
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WHERE to_tsvector('english', COALESCE(m.text_content,'')) \
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@@ plainto_tsquery('english', $1) \
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GROUP BY s.session_id, s.title, s.agent, s.model \
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ORDER BY rank DESC \
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LIMIT $2",
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&[&query, &limit],
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)
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.await
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.context("keyword search")?;
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let mut out = Vec::new();
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for row in &rows {
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out.push(serde_json::json!({
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"session_id": row.try_get::<_, String>(0)?,
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"title": row.try_get::<_, Option<String>>(1)?,
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"agent": row.try_get::<_, Option<String>>(2)?,
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"model": row.try_get::<_, Option<String>>(3)?,
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"match_count": row.try_get::<_, i64>(4)?,
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"rank": row.try_get::<_, f32>(5)?,
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}));
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}
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Ok(out)
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}
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/// Semantic search via embedding cosine similarity (requires pgvector).
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pub async fn search_similar(
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&self,
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embedding: &[f32],
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limit: i64,
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) -> Result<Vec<serde_json::Value>> {
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let vec_str = format!(
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"[{}]",
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embedding
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.iter()
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.map(|f| f.to_string())
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.collect::<Vec<_>>()
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.join(",")
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);
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let rows = self
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.client
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.query(
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"SELECT session_id, title, agent, model, \
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1 - (embedding <=> $1::vector) AS similarity \
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FROM ene.chat_sessions \
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WHERE embedding IS NOT NULL \
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ORDER BY embedding <=> $1::vector \
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LIMIT $2",
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&[&vec_str, &limit],
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)
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.await
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.context("similarity search")?;
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let mut out = Vec::new();
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for row in &rows {
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out.push(serde_json::json!({
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"session_id": row.try_get::<_, String>(0)?,
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"title": row.try_get::<_, Option<String>>(1)?,
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"agent": row.try_get::<_, Option<String>>(2)?,
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"model": row.try_get::<_, Option<String>>(3)?,
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"similarity": row.try_get::<_, f32>(4)?,
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}));
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}
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Ok(out)
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}
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/// List recent sessions.
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pub async fn list_sessions(&self, limit: i64) -> Result<Vec<serde_json::Value>> {
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let rows = self
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.client
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.query(
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"SELECT session_id, title, agent, model, message_count, \
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token_input_total, token_output_total, created_at_ms, updated_at_ms \
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FROM ene.chat_sessions \
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ORDER BY updated_at_ms DESC \
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LIMIT $1",
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&[&limit],
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)
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.await
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.context("list sessions")?;
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let mut out = Vec::new();
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for row in &rows {
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out.push(serde_json::json!({
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"session_id": row.try_get::<_, String>(0)?,
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"title": row.try_get::<_, Option<String>>(1)?,
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"agent": row.try_get::<_, Option<String>>(2)?,
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"model": row.try_get::<_, Option<String>>(3)?,
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"message_count": row.try_get::<_, i32>(4)?,
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"token_input_total": row.try_get::<_, i64>(5)?,
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"token_output_total":row.try_get::<_, i64>(6)?,
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"created_at_ms": row.try_get::<_, i64>(7)?,
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"updated_at_ms": row.try_get::<_, i64>(8)?,
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}));
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}
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Ok(out)
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}
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|
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/// Retrieve a single session with all its messages.
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pub async fn get_session(&self, session_id: &str) -> Result<Option<serde_json::Value>> {
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let Some(sess) = self
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.client
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.query_opt(
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|
"SELECT session_id, title, agent, model, message_count, \
|
|
token_input_total, token_output_total, created_at_ms, updated_at_ms, meta \
|
|
FROM ene.chat_sessions WHERE session_id = $1",
|
|
&[&session_id],
|
|
)
|
|
.await
|
|
.context("get session")?
|
|
else {
|
|
return Ok(None);
|
|
};
|
|
|
|
let msg_rows = self
|
|
.client
|
|
.query(
|
|
"SELECT message_index, role, blocks, text_content, \
|
|
token_input, token_output, tool_calls, created_at_ms \
|
|
FROM ene.chat_messages \
|
|
WHERE session_id = $1 ORDER BY message_index",
|
|
&[&session_id],
|
|
)
|
|
.await
|
|
.context("get messages")?;
|
|
let mut messages = Vec::new();
|
|
for row in &msg_rows {
|
|
messages.push(serde_json::json!({
|
|
"message_index": row.try_get::<_, i32>(0)?,
|
|
"role": row.try_get::<_, String>(1)?,
|
|
"blocks": row.try_get::<_, serde_json::Value>(2)?,
|
|
"text_content": row.try_get::<_, Option<String>>(3)?,
|
|
"token_input": row.try_get::<_, i64>(4)?,
|
|
"token_output": row.try_get::<_, i64>(5)?,
|
|
"tool_calls": row.try_get::<_, serde_json::Value>(6)?,
|
|
"created_at_ms": row.try_get::<_, i64>(7)?,
|
|
}));
|
|
}
|
|
Ok(Some(serde_json::json!({
|
|
"session_id": sess.try_get::<_, String>(0)?,
|
|
"title": sess.try_get::<_, Option<String>>(1)?,
|
|
"agent": sess.try_get::<_, Option<String>>(2)?,
|
|
"model": sess.try_get::<_, Option<String>>(3)?,
|
|
"message_count": sess.try_get::<_, i32>(4)?,
|
|
"token_input_total": sess.try_get::<_, i64>(5)?,
|
|
"token_output_total": sess.try_get::<_, i64>(6)?,
|
|
"created_at_ms": sess.try_get::<_, i64>(7)?,
|
|
"updated_at_ms": sess.try_get::<_, i64>(8)?,
|
|
"meta": sess.try_get::<_, serde_json::Value>(9)?,
|
|
"messages": messages,
|
|
})))
|
|
}
|
|
}
|