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### What problem does this PR solve? #5061 #5067 ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
158 lines
6.6 KiB
Python
158 lines
6.6 KiB
Python
#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from abc import ABC
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import re
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from copy import deepcopy
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import pandas as pd
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import pymysql
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import psycopg2
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from agent.component import GenerateParam, Generate
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import pyodbc
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import logging
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class ExeSQLParam(GenerateParam):
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"""
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Define the ExeSQL component parameters.
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"""
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def __init__(self):
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super().__init__()
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self.db_type = "mysql"
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self.database = ""
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self.username = ""
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self.host = ""
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self.port = 3306
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self.password = ""
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self.loop = 3
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self.top_n = 30
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def check(self):
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super().check()
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self.check_valid_value(self.db_type, "Choose DB type", ['mysql', 'postgresql', 'mariadb', 'mssql'])
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self.check_empty(self.database, "Database name")
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self.check_empty(self.username, "database username")
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self.check_empty(self.host, "IP Address")
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self.check_positive_integer(self.port, "IP Port")
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self.check_empty(self.password, "Database password")
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self.check_positive_integer(self.top_n, "Number of records")
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if self.database == "rag_flow":
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if self.host == "ragflow-mysql":
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raise ValueError("The host is not accessible.")
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if self.password == "infini_rag_flow":
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raise ValueError("The host is not accessible.")
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class ExeSQL(Generate, ABC):
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component_name = "ExeSQL"
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def _refactor(self, ans):
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ans = re.sub(r"<think>.*</think>", "", ans, flags=re.DOTALL)
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match = re.search(r"```sql\s*(.*?)\s*```", ans, re.DOTALL)
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if match:
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ans = match.group(1) # Query content
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return ans
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else:
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print("no markdown")
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ans = re.sub(r'^.*?SELECT ', 'SELECT ', (ans), flags=re.IGNORECASE)
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ans = re.sub(r';.*?SELECT ', '; SELECT ', ans, flags=re.IGNORECASE)
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ans = re.sub(r';[^;]*$', r';', ans)
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if not ans:
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raise Exception("SQL statement not found!")
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return ans
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def _run(self, history, **kwargs):
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ans = self.get_input()
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ans = "".join([str(a) for a in ans["content"]]) if "content" in ans else ""
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ans = self._refactor(ans)
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logging.info("db_type: ", self._param.db_type)
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if self._param.db_type in ["mysql", "mariadb"]:
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db = pymysql.connect(db=self._param.database, user=self._param.username, host=self._param.host,
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port=self._param.port, password=self._param.password)
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elif self._param.db_type == 'postgresql':
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db = psycopg2.connect(dbname=self._param.database, user=self._param.username, host=self._param.host,
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port=self._param.port, password=self._param.password)
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elif self._param.db_type == 'mssql':
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conn_str = (
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r'DRIVER={ODBC Driver 17 for SQL Server};'
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r'SERVER=' + self._param.host + ',' + str(self._param.port) + ';'
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r'DATABASE=' + self._param.database + ';'
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r'UID=' + self._param.username + ';'
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r'PWD=' + self._param.password
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)
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db = pyodbc.connect(conn_str)
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try:
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cursor = db.cursor()
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except Exception as e:
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raise Exception("Database Connection Failed! \n" + str(e))
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if not hasattr(self, "_loop"):
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setattr(self, "_loop", 0)
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self._loop += 1
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input_list = re.split(r';', ans.replace(r"\n", " "))
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sql_res = []
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for i in range(len(input_list)):
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single_sql = input_list[i]
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while self._loop <= self._param.loop:
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self._loop += 1
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if not single_sql:
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break
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try:
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logging.info("single_sql: ", single_sql)
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cursor.execute(single_sql)
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if cursor.rowcount == 0:
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sql_res.append({"content": "No record in the database!"})
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break
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if self._param.db_type == 'mssql':
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single_res = pd.DataFrame.from_records(cursor.fetchmany(self._param.top_n),
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columns=[desc[0] for desc in cursor.description])
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else:
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single_res = pd.DataFrame([i for i in cursor.fetchmany(self._param.top_n)])
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single_res.columns = [i[0] for i in cursor.description]
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sql_res.append({"content": single_res.to_markdown(index=False, floatfmt=".6f")})
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break
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except Exception as e:
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single_sql = self._regenerate_sql(single_sql, str(e), **kwargs)
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single_sql = self._refactor(single_sql)
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if self._loop > self._param.loop:
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sql_res.append({"content": "Can't query the correct data via SQL statement."})
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# raise Exception("Maximum loop time exceeds. Can't query the correct data via SQL statement.")
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db.close()
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if not sql_res:
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return ExeSQL.be_output("")
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return pd.DataFrame(sql_res)
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def _regenerate_sql(self, failed_sql, error_message, **kwargs):
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prompt = f'''
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## You are the Repair SQL Statement Helper, please modify the original SQL statement based on the SQL query error report.
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## The original SQL statement is as follows:{failed_sql}.
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## The contents of the SQL query error report is as follows:{error_message}.
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## Answer only the modified SQL statement. Please do not give any explanation, just answer the code.
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'''
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self._param.prompt = prompt
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kwargs_ = deepcopy(kwargs)
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kwargs_["stream"] = False
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response = Generate._run(self, [], **kwargs_)
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try:
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regenerated_sql = response.loc[0, "content"]
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return regenerated_sql
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except Exception as e:
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logging.error(f"Failed to regenerate SQL: {e}")
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return None
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def debug(self, **kwargs):
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return self._run([], **kwargs)
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