590 lines
21 KiB
Python
Executable File
590 lines
21 KiB
Python
Executable File
"""
|
||
聊天记录数据库（SQLite / MySQL）
|
||
每条消息独立存储，按客户ID分开，支持查询和展示。
|
||
支持 MySQL 连接池以提高性能。
|
||
"""
|
||
|
||
import sqlite3
|
||
import os
|
||
import threading
|
||
from queue import Queue, Empty
|
||
from datetime import datetime
|
||
from typing import List, Dict, Optional
|
||
|
||
_DB_PATH = os.path.join(os.path.dirname(__file__), "chat_log_db", "chats.db")
|
||
_DB_TYPE = os.getenv("DB_TYPE", "sqlite").lower()
|
||
_MYSQL_HOST = os.getenv("MYSQL_HOST", "127.0.0.1")
|
||
_MYSQL_PORT = int(os.getenv("MYSQL_PORT", "3306"))
|
||
_MYSQL_USER = os.getenv("MYSQL_USER", "root")
|
||
_MYSQL_PASSWORD = os.getenv("MYSQL_PASSWORD", "")
|
||
_MYSQL_DATABASE = os.getenv("MYSQL_DATABASE", "ai_cs")
|
||
|
||
# ========== MySQL 连接池 ==========
|
||
_POOL_SIZE = int(os.getenv("MYSQL_POOL_SIZE", "10"))
|
||
_POOL_WAIT_TIMEOUT = float(os.getenv("MYSQL_POOL_WAIT_TIMEOUT", "10"))
|
||
_mysql_pool: Optional[Queue] = None
|
||
_pool_lock = threading.Lock()
|
||
_mysql_conn_count = 0
|
||
|
||
|
||
def _create_mysql_conn():
|
||
"""创建单个 MySQL 连接"""
|
||
import pymysql
|
||
return pymysql.connect(
|
||
host=_MYSQL_HOST,
|
||
port=_MYSQL_PORT,
|
||
user=_MYSQL_USER,
|
||
password=_MYSQL_PASSWORD,
|
||
database=_MYSQL_DATABASE,
|
||
charset="utf8mb4",
|
||
cursorclass=pymysql.cursors.DictCursor,
|
||
autocommit=False,
|
||
connect_timeout=10,
|
||
read_timeout=30,
|
||
write_timeout=30,
|
||
)
|
||
|
||
|
||
def _init_mysql_pool():
|
||
"""初始化 MySQL 连接池（懒创建，不在启动时预建满）"""
|
||
global _mysql_pool
|
||
with _pool_lock:
|
||
if _mysql_pool is None:
|
||
_mysql_pool = Queue(maxsize=_POOL_SIZE)
|
||
|
||
|
||
def _discard_conn(conn):
|
||
"""丢弃失效连接并维护计数"""
|
||
global _mysql_conn_count
|
||
try:
|
||
conn.close()
|
||
except Exception:
|
||
pass
|
||
with _pool_lock:
|
||
if _mysql_conn_count > 0:
|
||
_mysql_conn_count -= 1
|
||
|
||
|
||
def _get_pooled_conn(timeout: float = 5.0):
|
||
"""从连接池获取连接，达到上限后阻塞等待，不再额外扩容。"""
|
||
global _mysql_pool, _mysql_conn_count
|
||
if _mysql_pool is None:
|
||
_init_mysql_pool()
|
||
|
||
with _pool_lock:
|
||
if _mysql_conn_count < _POOL_SIZE:
|
||
conn = _create_mysql_conn()
|
||
_mysql_conn_count += 1
|
||
return conn
|
||
|
||
try:
|
||
conn = _mysql_pool.get(timeout=timeout)
|
||
try:
|
||
conn.ping(reconnect=True)
|
||
except Exception:
|
||
_discard_conn(conn)
|
||
with _pool_lock:
|
||
if _mysql_conn_count < _POOL_SIZE:
|
||
conn = _create_mysql_conn()
|
||
_mysql_conn_count += 1
|
||
return conn
|
||
conn = _mysql_pool.get(timeout=timeout)
|
||
conn.ping(reconnect=True)
|
||
return conn
|
||
except Empty:
|
||
raise TimeoutError(f"MySQL连接池已耗尽（pool_size={_POOL_SIZE}, wait_timeout={timeout}s）")
|
||
|
||
|
||
def _return_conn(conn):
|
||
"""归还连接到池，失效连接直接丢弃。"""
|
||
global _mysql_pool
|
||
if _mysql_pool is None:
|
||
return
|
||
try:
|
||
conn.ping(reconnect=False)
|
||
_mysql_pool.put_nowait(conn)
|
||
except Exception:
|
||
_discard_conn(conn)
|
||
|
||
|
||
class _CompatResult:
|
||
def __init__(self, rows=None, rowcount: int = 0, lastrowid: int = 0):
|
||
self._rows = rows or []
|
||
self.rowcount = rowcount
|
||
self.lastrowid = lastrowid
|
||
|
||
def fetchall(self):
|
||
return self._rows
|
||
|
||
def fetchone(self):
|
||
return self._rows[0] if self._rows else None
|
||
|
||
|
||
class _PyMySQLCompatConn:
|
||
"""让 pymysql 连接兼容 sqlite 的 conn.execute 用法，支持连接池。"""
|
||
|
||
def __init__(self, conn, use_pool: bool = True):
|
||
self._conn = conn
|
||
self._use_pool = use_pool
|
||
|
||
def __enter__(self):
|
||
return self
|
||
|
||
def __exit__(self, exc_type, exc, tb):
|
||
if exc_type:
|
||
try:
|
||
self._conn.rollback()
|
||
except Exception:
|
||
pass
|
||
# 归还连接到池而不是关闭
|
||
if self._use_pool:
|
||
_return_conn(self._conn)
|
||
else:
|
||
self._conn.close()
|
||
|
||
def execute(self, query: str, args=None):
|
||
cur = self._conn.cursor()
|
||
cur.execute(query, args or ())
|
||
rows = cur.fetchall() if cur.description else []
|
||
res = _CompatResult(rows=rows, rowcount=cur.rowcount, lastrowid=getattr(cur, "lastrowid", 0))
|
||
cur.close()
|
||
return res
|
||
|
||
def commit(self):
|
||
self._conn.commit()
|
||
|
||
def close(self):
|
||
if self._use_pool:
|
||
_return_conn(self._conn)
|
||
else:
|
||
self._conn.close()
|
||
|
||
def _is_mysql() -> bool:
|
||
return _DB_TYPE in ("mysql", "mariadb")
|
||
|
||
def _sql(query: str) -> str:
|
||
return query.replace("?", "%s") if _is_mysql() else query
|
||
|
||
|
||
def _get_conn(max_retries: int = 3, retry_delay: float = 0.5) -> sqlite3.Connection:
|
||
"""获取数据库连接，MySQL 使用连接池"""
|
||
if _is_mysql():
|
||
import time
|
||
last_error = None
|
||
for attempt in range(max_retries):
|
||
try:
|
||
conn = _get_pooled_conn(timeout=_POOL_WAIT_TIMEOUT)
|
||
return _PyMySQLCompatConn(conn, use_pool=True)
|
||
except Exception as e:
|
||
last_error = e
|
||
if attempt < max_retries - 1:
|
||
time.sleep(retry_delay * (attempt + 1))
|
||
continue
|
||
raise
|
||
raise last_error
|
||
os.makedirs(os.path.dirname(_DB_PATH), exist_ok=True)
|
||
conn = sqlite3.connect(_DB_PATH)
|
||
conn.row_factory = sqlite3.Row
|
||
return conn
|
||
|
||
|
||
def init_db():
|
||
"""建表（首次运行时自动调用）"""
|
||
with _get_conn() as conn:
|
||
if _is_mysql():
|
||
conn.execute("""
|
||
CREATE TABLE IF NOT EXISTS chat_logs (
|
||
id INTEGER PRIMARY KEY AUTO_INCREMENT,
|
||
customer_id VARCHAR(128) NOT NULL,
|
||
customer_name VARCHAR(255) DEFAULT '',
|
||
acc_id VARCHAR(128) DEFAULT '',
|
||
platform VARCHAR(64) DEFAULT '',
|
||
direction VARCHAR(8) NOT NULL,
|
||
message TEXT NOT NULL,
|
||
msg_type INTEGER DEFAULT 0,
|
||
timestamp DATETIME NOT NULL
|
||
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
|
||
""")
|
||
idx_rows = conn.execute("SHOW INDEX FROM chat_logs").fetchall()
|
||
exists = {str(r.get("Key_name", "")) for r in idx_rows}
|
||
if "idx_customer" not in exists:
|
||
conn.execute("CREATE INDEX idx_customer ON chat_logs(customer_id)")
|
||
if "idx_ts" not in exists:
|
||
conn.execute("CREATE INDEX idx_ts ON chat_logs(timestamp)")
|
||
if "idx_acc" not in exists:
|
||
conn.execute("CREATE INDEX idx_acc ON chat_logs(acc_id)")
|
||
# 添加 image_urls 列（如果不存在）
|
||
try:
|
||
conn.execute("ALTER TABLE chat_logs ADD COLUMN image_urls TEXT DEFAULT ''")
|
||
except Exception:
|
||
pass # 列已存在
|
||
else:
|
||
conn.execute("""
|
||
CREATE TABLE IF NOT EXISTS chat_logs (
|
||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||
customer_id TEXT NOT NULL,
|
||
customer_name TEXT DEFAULT '',
|
||
acc_id TEXT DEFAULT '',
|
||
platform TEXT DEFAULT '',
|
||
direction TEXT NOT NULL CHECK(direction IN ('in','out')),
|
||
message TEXT NOT NULL,
|
||
msg_type INTEGER DEFAULT 0,
|
||
timestamp TEXT NOT NULL
|
||
)
|
||
""")
|
||
conn.execute("CREATE INDEX IF NOT EXISTS idx_customer ON chat_logs(customer_id)")
|
||
conn.execute("CREATE INDEX IF NOT EXISTS idx_ts ON chat_logs(timestamp)")
|
||
try:
|
||
conn.execute("ALTER TABLE chat_logs ADD COLUMN acc_id TEXT DEFAULT ''")
|
||
except Exception:
|
||
pass
|
||
try:
|
||
conn.execute("ALTER TABLE chat_logs ADD COLUMN image_urls TEXT DEFAULT ''")
|
||
except Exception:
|
||
pass
|
||
conn.execute("CREATE INDEX IF NOT EXISTS idx_acc ON chat_logs(acc_id)")
|
||
|
||
# ---- customer_orders 表 ----
|
||
if _is_mysql():
|
||
conn.execute("""
|
||
CREATE TABLE IF NOT EXISTS customer_orders (
|
||
id INTEGER PRIMARY KEY AUTO_INCREMENT,
|
||
customer_id VARCHAR(128) NOT NULL,
|
||
acc_id VARCHAR(128) DEFAULT '',
|
||
order_id VARCHAR(64) NOT NULL,
|
||
order_status VARCHAR(64) DEFAULT '',
|
||
product_title VARCHAR(512) DEFAULT '',
|
||
amount DECIMAL(10,2) DEFAULT 0,
|
||
quantity INTEGER DEFAULT 0,
|
||
buyer_note TEXT,
|
||
created_at DATETIME NOT NULL,
|
||
updated_at DATETIME NOT NULL
|
||
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
|
||
""")
|
||
idx_rows2 = conn.execute("SHOW INDEX FROM customer_orders").fetchall()
|
||
exists2 = {str(r.get("Key_name", "")) for r in idx_rows2}
|
||
if "idx_co_customer" not in exists2:
|
||
conn.execute("CREATE INDEX idx_co_customer ON customer_orders(customer_id)")
|
||
if "idx_co_order" not in exists2:
|
||
conn.execute("CREATE UNIQUE INDEX idx_co_order ON customer_orders(order_id, order_status)")
|
||
else:
|
||
conn.execute("""
|
||
CREATE TABLE IF NOT EXISTS customer_orders (
|
||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||
customer_id TEXT NOT NULL,
|
||
acc_id TEXT DEFAULT '',
|
||
order_id TEXT NOT NULL,
|
||
order_status TEXT DEFAULT '',
|
||
product_title TEXT DEFAULT '',
|
||
amount REAL DEFAULT 0,
|
||
quantity INTEGER DEFAULT 0,
|
||
buyer_note TEXT DEFAULT '',
|
||
created_at TEXT NOT NULL,
|
||
updated_at TEXT NOT NULL
|
||
)
|
||
""")
|
||
conn.execute("CREATE INDEX IF NOT EXISTS idx_co_customer ON customer_orders(customer_id)")
|
||
conn.execute("CREATE UNIQUE INDEX IF NOT EXISTS idx_co_order ON customer_orders(order_id, order_status)")
|
||
|
||
conn.commit()
|
||
|
||
|
||
init_db()
|
||
|
||
|
||
# ========== 重试装饰器 ==========
|
||
|
||
def _retry_db_operation(func):
|
||
"""数据库操作重试装饰器，处理连接丢失等临时错误"""
|
||
import functools
|
||
import time
|
||
@functools.wraps(func)
|
||
def wrapper(*args, **kwargs):
|
||
max_retries = 3
|
||
last_error = None
|
||
for attempt in range(max_retries):
|
||
try:
|
||
return func(*args, **kwargs)
|
||
except Exception as e:
|
||
err_str = str(e).lower()
|
||
# 判断是否为可重试的连接错误
|
||
is_conn_error = any(k in err_str for k in [
|
||
"lost connection", "gone away", "connection reset",
|
||
"can't connect", "connection refused", "2013", "2006"
|
||
])
|
||
if is_conn_error and attempt < max_retries - 1:
|
||
last_error = e
|
||
time.sleep(0.5 * (attempt + 1))
|
||
continue
|
||
raise
|
||
raise last_error
|
||
return wrapper
|
||
|
||
|
||
# ========== 写入 ==========
|
||
|
||
@_retry_db_operation
|
||
def log_message(
|
||
customer_id: str,
|
||
message: str,
|
||
direction: str, # "in" = 客户发来，"out" = 客服回复
|
||
customer_name: str = "",
|
||
acc_id: str = "", # 店铺账号ID
|
||
platform: str = "",
|
||
msg_type: int = 0,
|
||
image_urls: str = "", # 图片URL列表，用\n分隔
|
||
):
|
||
"""记录一条聊天消息"""
|
||
ts = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
||
with _get_conn() as conn:
|
||
conn.execute(
|
||
_sql("INSERT INTO chat_logs "
|
||
"(customer_id, customer_name, acc_id, platform, direction, message, msg_type, timestamp, image_urls) "
|
||
"VALUES (?,?,?,?,?,?,?,?,?)"),
|
||
(customer_id, customer_name, acc_id, platform, direction, message, msg_type, ts, image_urls),
|
||
)
|
||
conn.commit()
|
||
|
||
|
||
# ========== 查询 ==========
|
||
|
||
def get_customers(limit: int = 100) -> List[Dict]:
|
||
"""返回所有有记录的客户列表（按最新消息时间排序）"""
|
||
with _get_conn() as conn:
|
||
rows = conn.execute("""
|
||
SELECT
|
||
customer_id,
|
||
MAX(customer_name) AS customer_name,
|
||
MAX(platform) AS platform,
|
||
COUNT(*) AS total_msgs,
|
||
SUM(direction='in') AS recv,
|
||
SUM(direction='out') AS sent,
|
||
MAX(timestamp) AS last_time
|
||
FROM chat_logs
|
||
GROUP BY customer_id
|
||
ORDER BY last_time DESC
|
||
LIMIT %s
|
||
""" if _is_mysql() else """
|
||
SELECT
|
||
customer_id,
|
||
MAX(customer_name) AS customer_name,
|
||
MAX(platform) AS platform,
|
||
COUNT(*) AS total_msgs,
|
||
SUM(direction='in') AS recv,
|
||
SUM(direction='out') AS sent,
|
||
MAX(timestamp) AS last_time
|
||
FROM chat_logs
|
||
GROUP BY customer_id
|
||
ORDER BY last_time DESC
|
||
LIMIT ?
|
||
""", (limit,)).fetchall()
|
||
return [dict(r) for r in rows]
|
||
|
||
|
||
@_retry_db_operation
|
||
def get_conversation(customer_id: str, limit: int = 200, acc_id: str = "") -> List[Dict]:
|
||
"""返回某客户的最近对话记录（按时间升序）"""
|
||
# 忽略 acc_id 过滤，实现全店铺记忆
|
||
with _get_conn() as conn:
|
||
rows = conn.execute(_sql("""
|
||
SELECT * FROM (
|
||
SELECT id, direction, message, msg_type, timestamp, acc_id, image_urls
|
||
FROM chat_logs
|
||
WHERE customer_id = ?
|
||
ORDER BY timestamp DESC, id DESC
|
||
LIMIT ?
|
||
) AS recent
|
||
ORDER BY timestamp ASC, id ASC
|
||
"""), (customer_id, limit)).fetchall()
|
||
return [dict(r) for r in rows]
|
||
|
||
|
||
def get_recent_conversation(customer_id: str, acc_id: str = "", limit: int = 10) -> List[Dict]:
|
||
"""返回某客户近期对话，忽略 acc_id 过滤"""
|
||
with _get_conn() as conn:
|
||
rows = conn.execute(_sql("""
|
||
SELECT id, direction, message, timestamp, acc_id
|
||
FROM chat_logs
|
||
WHERE customer_id = ?
|
||
ORDER BY id DESC
|
||
LIMIT ?
|
||
"""), (customer_id, limit)).fetchall()
|
||
out = [dict(r) for r in reversed(rows)]
|
||
return out
|
||
|
||
|
||
def get_conversation_today(customer_id: str) -> List[Dict]:
|
||
"""返回某客户今天的对话"""
|
||
today = datetime.now().strftime("%Y-%m-%d")
|
||
with _get_conn() as conn:
|
||
rows = conn.execute(_sql("""
|
||
SELECT id, direction, message, msg_type, timestamp
|
||
FROM chat_logs
|
||
WHERE customer_id = ? AND timestamp LIKE ?
|
||
ORDER BY timestamp ASC, id ASC
|
||
"""), (customer_id, f"{today}%")).fetchall()
|
||
return [dict(r) for r in rows]
|
||
|
||
|
||
def get_daily_stats(date: str = "") -> List[Dict]:
|
||
"""
|
||
返回指定日期各店铺的统计数据。
|
||
date 格式 'YYYY-MM-DD'，默认今天。
|
||
每条记录对应一个 acc_id（店铺）。
|
||
"""
|
||
if not date:
|
||
date = datetime.now().strftime("%Y-%m-%d")
|
||
with _get_conn() as conn:
|
||
rows = conn.execute(_sql("""
|
||
SELECT
|
||
acc_id,
|
||
platform,
|
||
COUNT(DISTINCT customer_id) AS unique_customers,
|
||
COUNT(*) AS total_msgs,
|
||
SUM(direction='in') AS recv,
|
||
SUM(direction='out') AS sent,
|
||
MIN(timestamp) AS first_msg,
|
||
MAX(timestamp) AS last_msg
|
||
FROM chat_logs
|
||
WHERE timestamp LIKE ?
|
||
GROUP BY acc_id
|
||
ORDER BY unique_customers DESC
|
||
"""), (f"{date}%",)).fetchall()
|
||
return [dict(r) for r in rows]
|
||
|
||
|
||
def get_daily_conversations(date: str = "") -> List[Dict]:
|
||
"""
|
||
返回指定日期每个客户的对话摘要（每人最多取前5条消息用于 AI 摘要）。
|
||
"""
|
||
if not date:
|
||
date = datetime.now().strftime("%Y-%m-%d")
|
||
with _get_conn() as conn:
|
||
if _is_mysql():
|
||
rows = conn.execute(_sql("""
|
||
SELECT
|
||
acc_id,
|
||
customer_id,
|
||
MAX(customer_name) AS customer_name,
|
||
COUNT(*) AS msg_count,
|
||
GROUP_CONCAT(
|
||
CONCAT(CASE WHEN direction='in' THEN '买:' ELSE '客:' END, LEFT(message,40))
|
||
SEPARATOR ' | '
|
||
) AS snippet
|
||
FROM chat_logs
|
||
WHERE timestamp LIKE ?
|
||
GROUP BY acc_id, customer_id
|
||
ORDER BY acc_id, MAX(timestamp) DESC
|
||
"""), (f"{date}%",)).fetchall()
|
||
else:
|
||
rows = conn.execute(_sql("""
|
||
SELECT
|
||
acc_id,
|
||
customer_id,
|
||
MAX(customer_name) AS customer_name,
|
||
COUNT(*) AS msg_count,
|
||
GROUP_CONCAT(
|
||
CASE WHEN direction='in' THEN '买:' || SUBSTR(message,1,40)
|
||
ELSE '客:' || SUBSTR(message,1,40) END,
|
||
' | '
|
||
) AS snippet
|
||
FROM chat_logs
|
||
WHERE timestamp LIKE ?
|
||
GROUP BY acc_id, customer_id
|
||
ORDER BY acc_id, MAX(timestamp) DESC
|
||
"""), (f"{date}%",)).fetchall()
|
||
return [dict(r) for r in rows]
|
||
|
||
|
||
def search_messages(keyword: str, customer_id: Optional[str] = None, limit: int = 50) -> List[Dict]:
|
||
"""全文搜索消息"""
|
||
if customer_id:
|
||
with _get_conn() as conn:
|
||
rows = conn.execute(_sql("""
|
||
SELECT customer_id, customer_name, direction, message, timestamp
|
||
FROM chat_logs
|
||
WHERE customer_id = ? AND message LIKE ?
|
||
ORDER BY timestamp DESC LIMIT ?
|
||
"""), (customer_id, f"%{keyword}%", limit)).fetchall()
|
||
else:
|
||
with _get_conn() as conn:
|
||
rows = conn.execute(_sql("""
|
||
SELECT customer_id, customer_name, direction, message, timestamp
|
||
FROM chat_logs
|
||
WHERE message LIKE ?
|
||
ORDER BY timestamp DESC LIMIT ?
|
||
"""), (f"%{keyword}%", limit)).fetchall()
|
||
return [dict(r) for r in rows]
|
||
|
||
|
||
def get_latest_messages(limit: int = 20) -> List[Dict]:
|
||
with _get_conn() as conn:
|
||
rows = conn.execute(_sql("""
|
||
SELECT id, customer_id, customer_name, direction, message, timestamp
|
||
FROM chat_logs
|
||
ORDER BY id DESC LIMIT ?
|
||
"""), (limit,)).fetchall()
|
||
return [dict(r) for r in rows]
|
||
|
||
|
||
# ========== 订单相关 ==========
|
||
|
||
@_retry_db_operation
|
||
def upsert_order(
|
||
customer_id: str,
|
||
order_id: str,
|
||
order_status: str = "",
|
||
acc_id: str = "",
|
||
product_title: str = "",
|
||
amount: float = 0.0,
|
||
quantity: int = 0,
|
||
buyer_note: str = "",
|
||
):
|
||
"""写入或更新一条订单记录（按 order_id + order_status 去重）"""
|
||
ts = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
||
with _get_conn() as conn:
|
||
if _is_mysql():
|
||
conn.execute(
|
||
"INSERT INTO customer_orders "
|
||
"(customer_id, acc_id, order_id, order_status, product_title, amount, quantity, buyer_note, created_at, updated_at) "
|
||
"VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s) "
|
||
"ON DUPLICATE KEY UPDATE customer_id=VALUES(customer_id), acc_id=VALUES(acc_id), "
|
||
"product_title=VALUES(product_title), amount=VALUES(amount), quantity=VALUES(quantity), "
|
||
"buyer_note=VALUES(buyer_note), updated_at=VALUES(updated_at)",
|
||
(customer_id, acc_id, order_id, order_status, product_title, amount, quantity, buyer_note, ts, ts),
|
||
)
|
||
else:
|
||
conn.execute(
|
||
_sql("INSERT OR REPLACE INTO customer_orders "
|
||
"(customer_id, acc_id, order_id, order_status, product_title, amount, quantity, buyer_note, created_at, updated_at) "
|
||
"VALUES (?,?,?,?,?,?,?,?,?,?)"),
|
||
(customer_id, acc_id, order_id, order_status, product_title, amount, quantity, buyer_note, ts, ts),
|
||
)
|
||
conn.commit()
|
||
|
||
|
||
@_retry_db_operation
|
||
def get_customer_orders(customer_id: str, limit: int = 10) -> List[Dict]:
|
||
"""查询某客户的订单记录（按时间倒序）"""
|
||
with _get_conn() as conn:
|
||
rows = conn.execute(_sql("""
|
||
SELECT order_id, order_status, product_title, amount, quantity, buyer_note, created_at, updated_at
|
||
FROM customer_orders
|
||
WHERE customer_id = ?
|
||
ORDER BY updated_at DESC
|
||
LIMIT ?
|
||
"""), (customer_id, limit)).fetchall()
|
||
return [dict(r) for r in rows]
|
||
|
||
|
||
def get_order_by_id(order_id: str) -> List[Dict]:
|
||
"""按订单号查询所有状态变更记录"""
|
||
with _get_conn() as conn:
|
||
rows = conn.execute(_sql("""
|
||
SELECT customer_id, order_id, order_status, product_title, amount, quantity, buyer_note, created_at, updated_at
|
||
FROM customer_orders
|
||
WHERE order_id = ?
|
||
ORDER BY updated_at ASC
|
||
"""), (order_id,)).fetchall()
|
||
return [dict(r) for r in rows]
|