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goinception.py
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goinception.py
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# -*- coding: UTF-8 -*-
import logging
import re
import traceback
import MySQLdb
from common.config import SysConfig
from sql.utils.sql_utils import get_syntax_type
from . import EngineBase
from .models import ResultSet, ReviewSet, ReviewResult
logger = logging.getLogger('default')
class GoInceptionEngine(EngineBase):
@property
def name(self):
return 'GoInception'
@property
def info(self):
return 'GoInception engine'
def get_connection(self, db_name=None):
if self.conn:
return self.conn
if hasattr(self, 'instance'):
self.conn = MySQLdb.connect(host=self.host, port=self.port, charset=self.instance.charset or 'utf8mb4',
connect_timeout=10)
return self.conn
archer_config = SysConfig()
go_inception_host = archer_config.get('go_inception_host')
go_inception_port = int(archer_config.get('go_inception_port', 4000))
self.conn = MySQLdb.connect(host=go_inception_host, port=go_inception_port, charset='utf8mb4',
connect_timeout=10)
return self.conn
def execute_check(self, instance=None, db_name=None, sql=''):
"""inception check"""
# 判断如果配置了隧道则连接隧道
host, port, user, password = self.remote_instance_conn(instance)
check_result = ReviewSet(full_sql=sql)
# inception 校验
check_result.rows = []
inception_sql = f"""/*--user='{user}';--password='{password}';--host='{host}';--port={port};--check=1;*/
inception_magic_start;
use `{db_name}`;
{sql.rstrip(';')};
inception_magic_commit;"""
inception_result = self.query(sql=inception_sql)
check_result.syntax_type = 2 # TODO 工单类型 0、其他 1、DDL，2、DML 仅适用于MySQL，待调整
for r in inception_result.rows:
check_result.rows += [ReviewResult(inception_result=r)]
if r[2] == 1: # 警告
check_result.warning_count += 1
elif r[2] == 2: # 错误
check_result.error_count += 1
# 没有找出DDL语句的才继续执行此判断
if check_result.syntax_type == 2:
if get_syntax_type(r[5], parser=False, db_type='mysql') == 'DDL':
check_result.syntax_type = 1
check_result.column_list = inception_result.column_list
check_result.checked = True
check_result.error = inception_result.error
check_result.warning = inception_result.warning
return check_result
def execute(self, workflow=None):
"""执行上线单"""
instance = workflow.instance
# 判断如果配置了隧道则连接隧道
host, port, user, password = self.remote_instance_conn(instance)
execute_result = ReviewSet(full_sql=workflow.sqlworkflowcontent.sql_content)
if workflow.is_backup:
str_backup = "--backup=1"
else:
str_backup = "--backup=0"
# 提交inception执行
sql_execute = f"""/*--user='{user}';--password='{password}';--host='{host}';--port={port};--execute=1;--ignore-warnings=1;{str_backup};--sleep=200;--sleep_rows=100*/
inception_magic_start;
use `{workflow.db_name}`;
{workflow.sqlworkflowcontent.sql_content.rstrip(';')};
inception_magic_commit;"""
inception_result = self.query(sql=sql_execute)
# 执行报错，inception crash或者执行中连接异常的场景
if inception_result.error and not execute_result.rows:
execute_result.error = inception_result.error
execute_result.rows = [ReviewResult(
stage='Execute failed',
errlevel=2,
stagestatus='异常终止',
errormessage=f'goInception Error: {inception_result.error}',
sql=workflow.sqlworkflowcontent.sql_content)]
return execute_result
# 把结果转换为ReviewSet
for r in inception_result.rows:
execute_result.rows += [ReviewResult(inception_result=r)]
# 如果发现任何一个行执行结果里有errLevel为1或2，并且状态列没有包含Execute Successfully，则最终执行结果为有异常.
for r in execute_result.rows:
if r.errlevel in (1, 2) and not re.search(r"Execute Successfully", r.stagestatus):
execute_result.error = "Line {0} has error/warning: {1}".format(r.id, r.errormessage)
break
return execute_result
def query(self, db_name=None, sql='', limit_num=0, close_conn=True, **kwargs):
"""返回 ResultSet """
result_set = ResultSet(full_sql=sql)
conn = self.get_connection()
try:
cursor = conn.cursor()
effect_row = cursor.execute(sql)
if int(limit_num) > 0:
rows = cursor.fetchmany(size=int(limit_num))
else:
rows = cursor.fetchall()
fields = cursor.description
result_set.column_list = [i[0] for i in fields] if fields else []
result_set.rows = rows
result_set.affected_rows = effect_row
except Exception as e:
logger.warning(f'goInception语句执行报错，错误信息{traceback.format_exc()}')
result_set.error = str(e)
if close_conn:
self.close()
return result_set
def query_print(self, instance, db_name=None, sql=''):
"""
打印语法树。
"""
# 判断如果配置了隧道则连接隧道
host, port, user, password = self.remote_instance_conn(instance)
sql = f"""/*--user='{user}';--password='{password}';--host='{host}';--port={port};--enable-query-print;*/
inception_magic_start;\
use `{db_name}`;
{sql.rstrip(';')};
inception_magic_commit;"""
print_info = self.query(db_name=db_name, sql=sql).to_dict()[1]
if print_info.get('errmsg'):
raise RuntimeError(print_info.get('errmsg'))
return print_info
def get_variables(self, variables=None):
"""获取实例参数"""
if variables:
sql = f"inception get variables like '{variables[0]}';"
else:
sql = "inception get variables;"
return self.query(sql=sql)
def set_variable(self, variable_name, variable_value):
"""修改实例参数值"""
sql = f"""inception set {variable_name}={variable_value};"""
return self.query(sql=sql)
def osc_control(self, **kwargs):
"""控制osc执行，获取进度、终止、暂停、恢复等"""
sqlsha1 = kwargs.get('sqlsha1')
command = kwargs.get('command')
if command == 'get':
sql = f"inception get osc_percent '{sqlsha1}';"
else:
sql = f"inception {command} osc '{sqlsha1}';"
return self.query(sql=sql)
@staticmethod
def get_table_ref(query_tree, db_name=None):
__author__ = 'xxlrr'
"""
* 从goInception解析后的语法树里解析出兼容Inception格式的引用表信息。
* 目前的逻辑是在SQL语法树中通过递归查找选中最小的 TableRefs 子树（可能有多个），
然后在最小的 TableRefs 子树选中Source节点来获取表引用信息。
* 查找最小TableRefs子树的方案竟然是通过逐步查找最大子树（直到找不到）来获得的，
具体为什么这样实现，我不记得了，只记得当时是通过猜测goInception的语法树生成规
则来写代码，结果猜一次错一次错一次猜一次，最终代码逐渐演变于此。或许直接查找最
小子树才是效率较高的算法，但是就这样吧，反正它能运行 :)
"""
table_ref = []
find_queue = [query_tree]
for tree in find_queue:
tree = DictTree(tree)
# nodes = tree.find_max_tree("TableRefs") or tree.find_max_tree("Left", "Right")
nodes = tree.find_max_tree("TableRefs")
if nodes:
# assert isinstance(v, dict) is true
find_queue.extend([v for node in nodes for v in node.values() if v])
else:
snodes = tree.find_max_tree("Source")
if snodes:
table_ref.extend([
{
"schema": snode['Source']['Schema']['O'] or db_name,
"name": snode['Source']['Name']['O']
} for snode in snodes
])
# assert: source node must exists if table_refs node exists.
# else:
# raise Exception("GoInception Error: not found source node")
return table_ref
def close(self):
if self.conn:
self.conn.close()
self.conn = None
class DictTree(dict):
def find_max_tree(self, *keys):
__author__ = 'xxlrr'
"""通过广度优先搜索算法查找满足条件的最大子树(不找叶子节点)"""
fit = []
find_queue = [self]
for tree in find_queue:
for k, v in tree.items():
if k in keys:
fit.append({k: v})
elif isinstance(v, dict):
find_queue.append(v)
elif isinstance(v, list):
find_queue.extend([n for n in v if isinstance(n, dict)])
return fit