更新dbv2、删除旧的db1、为static添加log

This commit is contained in:
qing committed 2026-07-27 10:22:16 +08:00
1 parent 08021015b1
commit 18ac572442
4 files changed
+211 -374

No files matched your search

+7 -208
View File
@@ -15,19 +15,9 @@ dbv2 — 基于 pymsg 协议(MsgServer)的数据库服务。
"limit": 10
}
{
"_route": "log/ingest",
"logs": [{"service": "waf", "level": "INFO", "message": "..."}]
}
支持的路由::
execute → 原 /execute
log/ingest → 原 /log/ingest
log/query → 原 /log/query
log/stats → 原 /log/stats
log/purge → 原 /log/purge
log/health → 原 /log/health
execute → 通用 CRUD(select / insert / update / delete)
"""
import json
@@ -53,15 +43,8 @@ DATABASE_URL = os.environ.get("DATABASE_URL", "sqlite:///database.db")
# ── 日志模块常量 ────────────────────────────────────────────────────────
VALID_SERVICES = {
"waf", "gateway", "static", "dnfs", "db",
"ai_review", "captcha", "core",
}
VALID_LEVELS = {"DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"}
MAX_BATCH = 100
MAX_MESSAGE_LEN = 8192
MAX_EXTRA_LEN = 4096
MAX_MESSAGE_LEN = 8192 # message 上限 8KB
MAX_EXTRA_LEN = 4096 # extra 上限 4KB
DEFAULT_RETENTION_DAYS = 30
DEFAULT_MAX_RECORDS = 1_000_000
@@ -82,23 +65,19 @@ class DBServer:
self.metadata = MetaData()
self._server = MsgServer(addr, port)
# 日志模块内部状态
# 日志表缓存(避免重复反射)
self._logs_table_cache = {}
# 路由表
self._routes = {
"execute": self._handle_execute,
"log/ingest": self._handle_log_ingest,
"log/query": self._handle_log_query,
"log/stats": self._handle_log_stats,
"log/purge": self._handle_log_purge,
"log/health": self._handle_log_health,
"execute": self._handle_execute,
}
# ── 启动 / 停止 ──────────────────────────────────────────────────
def start(self) -> None:
"""启动服务(阻塞当前线程)。"""
print(f"[dbv2] 监听 tcp://{self.addr}:{self.port}")
self._ensure_logs_table() # 确保 Logs 表已建好(外部 MsgClient 写日志前)
self._start_cleanup_thread()
self._server.start(self._dispatch)
@@ -251,7 +230,7 @@ class DBServer:
return [{"rowcount": res.rowcount}]
# ═══════════════════════════════════════════════════════════════════
# 路由处理 — log/*
# 日志表管理 + 后台清理
# ═══════════════════════════════════════════════════════════════════
# ── 日志表管理 ────────────────────────────────────────────────────
@@ -313,186 +292,6 @@ class DBServer:
except Exception:
pass
# ── log/ingest ────────────────────────────────────────────────────
def _handle_log_ingest(self, data, **kw):
logs = data.get("logs")
if not isinstance(logs, list) or not logs:
raise ValueError("logs 必须是非空数组")
if len(logs) > MAX_BATCH:
raise ValueError(f"单次最多 {MAX_BATCH} 条,当前 {len(logs)} 条")
table = self._ensure_logs_table()
now = datetime.now(timezone.utc).isoformat()
rows = []
for i, log in enumerate(logs):
if not isinstance(log, dict):
raise ValueError(f"第 {i} 条日志不是有效对象")
service = log.get("service")
level = log.get("level")
message = log.get("message")
if not service or service not in VALID_SERVICES:
raise ValueError(f"第 {i} 条: service 无效或缺失")
if not level or level not in VALID_LEVELS:
raise ValueError(f"第 {i} 条: level 无效或缺失")
if not message or not isinstance(message, str):
raise ValueError(f"第 {i} 条: message 缺失或非字符串")
if len(message) > MAX_MESSAGE_LEN:
message = message[:MAX_MESSAGE_LEN]
trace_id = log.get("trace_id")
extra = log.get("extra")
extra_json = None
if extra is not None:
extra_json = json.dumps(extra, ensure_ascii=False)
if len(extra_json) > MAX_EXTRA_LEN:
extra_json = extra_json[:MAX_EXTRA_LEN]
rows.append({
"ts": log.get("ts") or now,
"service": service,
"level": level,
"message": message,
"trace_id": trace_id,
"extra": extra_json,
})
with self.engine.connect() as conn:
conn.execute(insert(table), rows)
conn.commit()
return {"inserted": len(rows)}
# ── log/query ─────────────────────────────────────────────────────
def _handle_log_query(self, data, **kw):
table = self._ensure_logs_table()
clauses = []
svc = data.get("service")
if svc:
col = table.columns["service"]
clauses.append(col.in_(svc) if isinstance(svc, list) else col == svc)
lvl = data.get("level")
if lvl:
col = table.columns["level"]
clauses.append(col.in_(lvl) if isinstance(lvl, list) else col == lvl)
tid = data.get("trace_id")
if tid:
clauses.append(table.columns["trace_id"] == tid)
since = data.get("since")
until = data.get("until")
ts_col = table.columns["ts"]
if since:
clauses.append(ts_col >= since)
if until:
clauses.append(ts_col <= until)
keyword = data.get("keyword")
if keyword:
clauses.append(table.columns["message"].like(f"%{keyword}%"))
where_cond = and_(*clauses) if clauses else None
order_col_name = data.get("order_by", "ts")
if order_col_name not in ("id", "ts", "service", "level"):
order_col_name = "ts"
order_col = table.columns[order_col_name]
order_expr = order_col.desc() if data.get("desc", True) else order_col.asc()
limit = min(data.get("limit", 100), 1000)
offset = data.get("offset", 0)
with self.engine.connect() as conn:
count_stmt = select(func.count()).select_from(table)
if where_cond is not None:
count_stmt = count_stmt.where(where_cond)
total = conn.execute(count_stmt).scalar() or 0
stmt = select(table)
if where_cond is not None:
stmt = stmt.where(where_cond)
stmt = stmt.order_by(order_expr).limit(limit).offset(offset)
rows = conn.execute(stmt).fetchall()
logs = []
for row in rows:
d = dict(row._mapping)
if d.get("extra"):
try:
d["extra"] = json.loads(d["extra"])
except (json.JSONDecodeError, TypeError):
pass
logs.append(d)
return {"total": total, "logs": logs}
# ── log/stats ─────────────────────────────────────────────────────
def _handle_log_stats(self, data, **kw):
table = self._ensure_logs_table()
group_by = data.get("group_by", "service")
group_fields = [g.strip() for g in group_by.split(",") if g.strip()]
for g in group_fields:
if g not in ("service", "level"):
raise ValueError(f"group_by 仅支持 service / level,收到: {g}")
clauses = []
since = data.get("since")
until = data.get("until")
ts_col = table.columns["ts"]
if since:
clauses.append(ts_col >= since)
if until:
clauses.append(ts_col <= until)
where_cond = and_(*clauses) if clauses else None
with self.engine.connect() as conn:
cols = [table.columns[g] for g in group_fields] + [func.count().label("count")]
stmt = select(*cols)
if where_cond is not None:
stmt = stmt.where(where_cond)
stmt = stmt.group_by(*[table.columns[g] for g in group_fields])
rows = conn.execute(stmt).fetchall()
groups = [dict(row._mapping) for row in rows]
count_stmt = select(func.count()).select_from(table)
if where_cond is not None:
count_stmt = count_stmt.where(where_cond)
total = conn.execute(count_stmt).scalar() or 0
return {"groups": groups, "total": total}
# ── log/purge ─────────────────────────────────────────────────────
def _handle_log_purge(self, data, **kw):
before = data.get("before")
if not before:
raise ValueError("缺少 before 字段")
table = self._ensure_logs_table()
with self.engine.connect() as conn:
stmt = delete(table).where(table.columns["ts"] < before)
result = conn.execute(stmt)
conn.commit()
deleted = result.rowcount
self._log_internal("db", "INFO",
f"purge 清理 {deleted} 条 (before={before})")
return {"deleted": deleted}
# ── log/health ────────────────────────────────────────────────────
def _handle_log_health(self, data, **kw):
table = self._ensure_logs_table()
with self.engine.connect() as conn:
count = conn.execute(
select(func.count()).select_from(table)
).scalar() or 0
return {"status": "ok", "count": count}
# ── 后台自动清理线程 ──────────────────────────────────────────────
def _start_cleanup_thread(self):
def _loop():
-166
View File
@@ -1,166 +0,0 @@
import os
from flask import Flask, request, jsonify, g
from sqlalchemy import (
create_engine, MetaData, Table, select, insert, update, delete, text
)
from sqlalchemy.exc import SQLAlchemyError
from waitress import serve
from security_middleware import apply_security_headers
from log_module import init_log_routes, log_internal
app = Flask(__name__)
apply_security_headers(app)
# 数据库配置
DATABASE_URL = os.environ.get('DATABASE_URL', 'sqlite:///database.db')
engine = create_engine(DATABASE_URL)
# 缓存反射的元数据(避免每次请求都反射)
metadata = MetaData()
# 注册日志模块(/log/* 路由 + 后台清理线程)
init_log_routes(app, engine, metadata)
def get_table(table_name):
"""反射表对象(若已缓存则直接返回)"""
if table_name not in metadata.tables:
Table(table_name, metadata, autoload_with=engine)
return metadata.tables[table_name]
def build_where(table, conditions):
"""将条件字典转换为 SQLAlchemy 条件表达式"""
if not conditions:
return None
clauses = []
for col, val in conditions.items():
column = table.columns[col]
if isinstance(val, dict):
# 支持多种比较操作
if 'eq' in val:
clauses.append(column == val['eq'])
if 'ne' in val:
clauses.append(column != val['ne'])
if 'gt' in val:
clauses.append(column > val['gt'])
if 'lt' in val:
clauses.append(column < val['lt'])
if 'ge' in val:
clauses.append(column >= val['ge'])
if 'le' in val:
clauses.append(column <= val['le'])
if 'like' in val:
clauses.append(column.like(val['like']))
if 'in' in val:
clauses.append(column.in_(val['in']))
else:
# 直接等值比较
clauses.append(column == val)
from sqlalchemy import and_
return and_(*clauses)
@app.route('/execute', methods=['POST'])
def execute_structured():
data = request.get_json()
if not data:
return jsonify({'success': False, 'error': '请求体不能为空'}), 400
action = data.get('action', 'select')
table_name = data.get('table')
if not table_name:
return jsonify({'success': False, 'error': '缺少 table 字段'}), 400
try:
table = get_table(table_name)
except Exception as e:
return jsonify({'success': False, 'error': f'表加载失败: {str(e)}'}), 400
conn = None
try:
conn = engine.connect()
result = []
if action == 'select':
columns = data.get('columns', None)
if columns:
cols = [table.columns[c] for c in columns]
else:
cols = [table] # select *
stmt = select(*cols)
where_cond = build_where(table, data.get('where'))
if where_cond is not None:
stmt = stmt.where(where_cond)
# 排序
order_by = data.get('order_by')
if order_by:
for item in order_by:
col = table.columns[item['column']]
stmt = stmt.order_by(col.desc() if item.get('desc') else col.asc())
# 分页
limit = data.get('limit')
if limit is not None:
stmt = stmt.limit(limit)
offset = data.get('offset')
if offset is not None:
stmt = stmt.offset(offset)
res = conn.execute(stmt)
rows = res.fetchall()
result = [dict(row._mapping) for row in rows]
elif action == 'insert':
values = data.get('values', {})
stmt = insert(table).values(**values)
res = conn.execute(stmt)
conn.commit()
result = [{'lastrowid': res.lastrowid}] if hasattr(res, 'lastrowid') else []
elif action == 'update':
values = data.get('values', {})
where_cond = build_where(table, data.get('where'))
stmt = update(table).values(**values)
if where_cond is not None:
stmt = stmt.where(where_cond)
res = conn.execute(stmt)
conn.commit()
result = [{'rowcount': res.rowcount}]
elif action == 'delete':
where_cond = build_where(table, data.get('where'))
stmt = delete(table)
if where_cond is not None:
stmt = stmt.where(where_cond)
res = conn.execute(stmt)
conn.commit()
result = [{'rowcount': res.rowcount}]
else:
return jsonify({'success': False, 'error': f'不支持的操作: {action}'}), 400
return jsonify({'success': True, 'data': result})
except SQLAlchemyError as e:
if conn:
conn.rollback()
log_internal(engine, metadata, 'db', 'ERROR',
f'{action} {table_name} FAILED: {e}',
extra={'client_ip': request.remote_addr})
return jsonify({'success': False, 'error': str(e)}), 400
except Exception as e:
if conn:
conn.rollback()
log_internal(engine, metadata, 'db', 'ERROR',
f'{action} {table_name} EXCEPTION: {e}',
extra={'client_ip': request.remote_addr})
return jsonify({'success': False, 'error': str(e)}), 400
finally:
if conn:
conn.close()
if __name__ == '__main__':
# 日志模块的初始化输出在 init_log_routes 调用时已完成
log_internal(engine, metadata, 'db', 'INFO',
'服务启动,监听 http://127.0.0.1:8005')
# 单线程单进程,绑定 127.0.0.1
serve(app, host='127.0.0.1', port=8005, threads=1)