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| from abc import ABC |
| import re |
| from copy import deepcopy |
|
|
| import pandas as pd |
| import pymysql |
| import psycopg2 |
| from agent.component import GenerateParam, Generate |
| import pyodbc |
| import logging |
|
|
|
|
| class ExeSQLParam(GenerateParam): |
| """ |
| Define the ExeSQL component parameters. |
| """ |
|
|
| def __init__(self): |
| super().__init__() |
| self.db_type = "mysql" |
| self.database = "" |
| self.username = "" |
| self.host = "" |
| self.port = 3306 |
| self.password = "" |
| self.loop = 3 |
| self.top_n = 30 |
|
|
| def check(self): |
| super().check() |
| self.check_valid_value(self.db_type, "Choose DB type", ['mysql', 'postgresql', 'mariadb', 'mssql']) |
| self.check_empty(self.database, "Database name") |
| self.check_empty(self.username, "database username") |
| self.check_empty(self.host, "IP Address") |
| self.check_positive_integer(self.port, "IP Port") |
| self.check_empty(self.password, "Database password") |
| self.check_positive_integer(self.top_n, "Number of records") |
| if self.database == "rag_flow": |
| if self.host == "ragflow-mysql": |
| raise ValueError("The host is not accessible.") |
| if self.password == "infini_rag_flow": |
| raise ValueError("The host is not accessible.") |
|
|
|
|
| class ExeSQL(Generate, ABC): |
| component_name = "ExeSQL" |
|
|
| def _refactor(self,ans): |
| match = re.search(r"```sql\s*(.*?)\s*```", ans, re.DOTALL) |
| if match: |
| ans = match.group(1) |
| return ans |
| else: |
| print("no markdown") |
| ans = re.sub(r'^.*?SELECT ', 'SELECT ', (ans), flags=re.IGNORECASE) |
| ans = re.sub(r';.*?SELECT ', '; SELECT ', ans, flags=re.IGNORECASE) |
| ans = re.sub(r';[^;]*$', r';', ans) |
| if not ans: |
| raise Exception("SQL statement not found!") |
| return ans |
|
|
| def _run(self, history, **kwargs): |
| ans = self.get_input() |
| ans = "".join([str(a) for a in ans["content"]]) if "content" in ans else "" |
| ans = self._refactor(ans) |
| logging.info("db_type: ",self._param.db_type) |
| if self._param.db_type in ["mysql", "mariadb"]: |
| db = pymysql.connect(db=self._param.database, user=self._param.username, host=self._param.host, |
| port=self._param.port, password=self._param.password) |
| elif self._param.db_type == 'postgresql': |
| db = psycopg2.connect(dbname=self._param.database, user=self._param.username, host=self._param.host, |
| port=self._param.port, password=self._param.password) |
| elif self._param.db_type == 'mssql': |
| conn_str = ( |
| r'DRIVER={ODBC Driver 17 for SQL Server};' |
| r'SERVER=' + self._param.host + ',' + str(self._param.port) + ';' |
| r'DATABASE=' + self._param.database + ';' |
| r'UID=' + self._param.username + ';' |
| r'PWD=' + self._param.password |
| ) |
| db = pyodbc.connect(conn_str) |
| try: |
| cursor = db.cursor() |
| except Exception as e: |
| raise Exception("Database Connection Failed! \n" + str(e)) |
| if not hasattr(self, "_loop"): |
| setattr(self, "_loop", 0) |
| self._loop += 1 |
| input_list=re.split(r';', ans.replace(r"\n", " ")) |
| sql_res = [] |
| for i in range(len(input_list)): |
| single_sql=input_list[i] |
| while self._loop <= self._param.loop: |
| self._loop+=1 |
| if not single_sql: |
| break |
| try: |
| logging.info("single_sql: ", single_sql) |
| cursor.execute(single_sql) |
| if cursor.rowcount == 0: |
| sql_res.append({"content": "No record in the database!"}) |
| break |
| if self._param.db_type == 'mssql': |
| single_res = pd.DataFrame.from_records(cursor.fetchmany(self._param.top_n),columns = [desc[0] for desc in cursor.description]) |
| else: |
| single_res = pd.DataFrame([i for i in cursor.fetchmany(self._param.top_n)]) |
| single_res.columns = [i[0] for i in cursor.description] |
| sql_res.append({"content": single_res.to_markdown()}) |
| break |
| except Exception as e: |
| single_sql = self._regenerate_sql(single_sql, str(e), **kwargs) |
| single_sql = self._refactor(single_sql) |
| if self._loop > self._param.loop: |
| sql_res.append({"content": "Can't query the correct data via SQL statement."}) |
| |
| db.close() |
| if not sql_res: |
| return ExeSQL.be_output("") |
| return pd.DataFrame(sql_res) |
|
|
| def _regenerate_sql(self, failed_sql, error_message,**kwargs): |
| prompt = f''' |
| ## You are the Repair SQL Statement Helper, please modify the original SQL statement based on the SQL query error report. |
| ## The original SQL statement is as follows:{failed_sql}. |
| ## The contents of the SQL query error report is as follows:{error_message}. |
| ## Answer only the modified SQL statement. Please do not give any explanation, just answer the code. |
| ''' |
| self._param.prompt=prompt |
| kwargs_ = deepcopy(kwargs) |
| kwargs_["stream"] = False |
| response = Generate._run(self, [], **kwargs_) |
| try: |
| regenerated_sql = response.loc[0,"content"] |
| return regenerated_sql |
| except Exception as e: |
| logging.error(f"Failed to regenerate SQL: {e}") |
| return None |
|
|
| def debug(self, **kwargs): |
| return self._run([], **kwargs) |
|
|