Files
iAs/src/db/models.rs
T
wunianxiao b2fe054eaf feat: 高德地图工具 + 多轮 bug 修复
新增:
- 高德地图 6 个内置工具: amap_poi_search, amap_geocode, amap_reverse_geocode, amap_route_plan, amap_travel_plan, amap_map_link
- CLI 子命令: ias tool amap (poi-search/geocode/route-plan/travel-plan/map-link)
- 工具优先级指南: build_capability_guide() 含 amap > weather > web_search 优先级
- DEFAULT_SYSTEM_PROMPT 内置工具优先级说明(不再依赖环境变量)

Bug 修复:
1. (HIGH) call_capability 参数契约修复 — 新增 unpack_call_params() 统一解包 prompt 字段
2. (MEDIUM) 天气 hours=0 不再调用逐时 API
3. (MEDIUM) 长期记忆 daemon 双写缓存+DB,无 DB 不丢失
4. (HIGH) 审批流程状态语义修复 — handle_reply 返回 ApprovalDecision,拒绝/过期不再当作通过
5. (HIGH) 审批有效期基于 expires_at 时间戳而非 receiver drop
6. (MEDIUM) 摘要保存改为 current_user_id 与读取一致
7. (MEDIUM) worker 审批通过后删除孤立 tool result,仅保留 approved_tool 状态放行

架构:
- daemon + worker IPC 架构 (Unix Domain Socket)
- build_capability_guide 共享函数消除 main.rs/worker.rs 重复
2026-06-03 17:01:04 +08:00

234 lines
6.4 KiB
Rust

use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use sqlx::PgPool;
use crate::state::AuthState;
// ─── 认证状态 ───
/// 从数据库加载认证状态
pub async fn load_auth(pool: &PgPool) -> Option<AuthState> {
let row = sqlx::query_as::<_, (serde_json::Value,)>(
"SELECT value FROM app_state WHERE key = 'auth'",
)
.fetch_optional(pool)
.await
.ok()??;
serde_json::from_value(row.0).ok()
}
/// 保存认证状态到数据库
pub async fn save_auth(pool: &PgPool, auth: &AuthState) -> Result<(), String> {
let value = serde_json::to_value(auth).map_err(|e| format!("序列化 auth 失败: {}", e))?;
sqlx::query(
r#"
INSERT INTO app_state (key, value, updated_at)
VALUES ('auth', $1, NOW())
ON CONFLICT (key) DO UPDATE
SET value = EXCLUDED.value, updated_at = NOW()
"#,
)
.bind(&value)
.execute(pool)
.await
.map_err(|e| format!("保存 auth 到数据库失败: {}", e))?;
Ok(())
}
// ─── 聊天记录 ───
#[derive(Debug, Clone, Serialize, Deserialize, sqlx::FromRow)]
pub struct ChatRecord {
pub id: i64,
pub created_at: DateTime<Utc>,
pub direction: String,
pub user_id: String,
pub account_id: String,
pub text: String,
pub source: String,
pub context_token: String,
pub message_id: String,
}
/// 插入一条聊天记录
pub async fn insert_chat_record(
pool: &PgPool,
direction: &str,
user_id: &str,
account_id: &str,
text: &str,
source: &str,
context_token: Option<&str>,
message_id: &str,
) -> Result<i64, String> {
let ctx = context_token.unwrap_or("");
let row: Option<(i64,)> = sqlx::query_as(
r#"
INSERT INTO chat_records (direction, user_id, account_id, text, source, context_token, message_id)
VALUES ($1, $2, $3, $4, $5, $6, $7)
ON CONFLICT (message_id) WHERE message_id NOT IN ('', '0') DO NOTHING
RETURNING id
"#,
)
.bind(direction)
.bind(user_id)
.bind(account_id)
.bind(text)
.bind(source)
.bind(ctx)
.bind(message_id)
.fetch_optional(pool)
.await
.map_err(|e| format!("插入聊天记录失败: {}", e))?;
Ok(row.map(|r| r.0).unwrap_or(0))
}
/// 查询最近的聊天记录(用户维度)
pub async fn list_recent_chat_records(
pool: &PgPool,
user_id: &str,
limit: i64,
) -> Result<Vec<ChatRecord>, String> {
let records = sqlx::query_as::<_, ChatRecord>(
r#"
SELECT id, created_at, direction, user_id, account_id, text, source, context_token, message_id
FROM chat_records
WHERE user_id = $1
ORDER BY created_at DESC
LIMIT $2
"#,
)
.bind(user_id)
.bind(limit)
.fetch_all(pool)
.await
.map_err(|e| format!("查询聊天记录失败: {}", e))?;
Ok(records)
}
// ─── LLM 用量 ───
/// 插入一条 LLM 用量记录
/// kind/entry 为 iPet 遗留兼容字段,写入默认值 ("llm_call" / null)
pub async fn insert_llm_usage(
pool: &PgPool,
user_id: &str,
model: &str,
provider: &str,
prompt_tokens: u32,
completion_tokens: u32,
cache_hit_tokens: u32,
cache_miss_tokens: u32,
) -> Result<(), String> {
let total = prompt_tokens + completion_tokens;
sqlx::query(
r#"
INSERT INTO llm_usage (user_id, model, provider, prompt_tokens, completion_tokens, total_tokens, cache_hit_tokens, cache_miss_tokens, kind, entry)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
"#,
)
.bind(user_id)
.bind(model)
.bind(provider)
.bind(prompt_tokens as i32)
.bind(completion_tokens as i32)
.bind(total as i32)
.bind(cache_hit_tokens as i32)
.bind(cache_miss_tokens as i32)
.bind("llm_call")
.bind(serde_json::Value::Null)
.execute(pool)
.await
.map_err(|e| format!("插入 LLM 用量失败: {}", e))?;
Ok(())
}
/// LLM 用量聚合统计
#[derive(Debug, Clone, sqlx::FromRow)]
pub struct LlmUsageStats {
pub total_calls: i64,
pub total_prompt_tokens: i64,
pub total_completion_tokens: i64,
pub total_tokens: i64,
pub total_cache_hit: i64,
pub total_cache_miss: i64,
}
/// 查询 LLM 用量统计(按时间范围过滤)
pub async fn query_llm_usage_stats(
pool: &PgPool,
since: Option<chrono::DateTime<chrono::Utc>>,
until: Option<chrono::DateTime<chrono::Utc>>,
model_filter: Option<&str>,
) -> Result<LlmUsageStats, String> {
let since = since.unwrap_or_else(|| {
chrono::Utc::now() - chrono::Duration::days(7)
});
let until = until.unwrap_or_else(chrono::Utc::now);
let row = sqlx::query_as::<_, LlmUsageStats>(
r#"
SELECT
COUNT(*)::bigint as total_calls,
COALESCE(SUM(prompt_tokens), 0)::bigint as total_prompt_tokens,
COALESCE(SUM(completion_tokens), 0)::bigint as total_completion_tokens,
COALESCE(SUM(total_tokens), 0)::bigint as total_tokens,
COALESCE(SUM(cache_hit_tokens), 0)::bigint as total_cache_hit,
COALESCE(SUM(cache_miss_tokens), 0)::bigint as total_cache_miss
FROM llm_usage
WHERE created_at >= $1 AND created_at <= $2
AND ($3::text IS NULL OR model = $3)
"#,
)
.bind(since)
.bind(until)
.bind(model_filter)
.fetch_one(pool)
.await
.map_err(|e| format!("查询 LLM 用量失败: {}", e))?;
Ok(row)
}
// ─── 会话摘要 ───
/// 保存一条摘要到数据库
pub async fn save_summary(
pool: &PgPool,
user_id: &str,
text: &str,
reason: &str,
message_count: i32,
) -> Result<(), String> {
sqlx::query(
"INSERT INTO session_summaries (user_id, summary_text, reason, message_count) VALUES ($1, $2, $3, $4)",
)
.bind(user_id)
.bind(text)
.bind(reason)
.bind(message_count)
.execute(pool)
.await
.map_err(|e| format!("保存摘要失败: {}", e))?;
Ok(())
}
/// 加载最近的摘要(用于 read_summaries 工具),按 user_id 过滤
pub async fn load_summaries(pool: &PgPool, user_id: &str, limit: i64) -> Result<Vec<String>, String> {
let rows = sqlx::query_as::<_, (String,)>(
"SELECT summary_text FROM session_summaries WHERE user_id = $1 ORDER BY created_at DESC LIMIT $2",
)
.bind(user_id)
.bind(limit)
.fetch_all(pool)
.await
.map_err(|e| format!("查询摘要失败: {}", e))?;
Ok(rows.into_iter().map(|(t,)| t).collect())
}