forked from Archives/langchain
36138f28c8
This PR extends upon @jzluo 's PR #2748 which addressed dialect-specific issues with SQL prompts, and adds a prompt that uses backticks for column names when querying BigQuery. See [GoogleSQL quoted identifiers](https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#quoted_identifiers). Additionally, the SQL agent currently uses a generic prompt. Not sure how best to adopt the same optional dialect-specific prompts as above, but will consider making an issue and PR for that too. See [langchain/agents/agent_toolkits/sql/prompt.py](langchain/agents/agent_toolkits/sql/prompt.py).
212 lines
9.8 KiB
Python
212 lines
9.8 KiB
Python
# flake8: noqa
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from langchain.output_parsers.list import CommaSeparatedListOutputParser
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from langchain.prompts.prompt import PromptTemplate
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_DEFAULT_TEMPLATE = """Given an input question, first create a syntactically correct {dialect} query to run, then look at the results of the query and return the answer. Unless the user specifies in his question a specific number of examples he wishes to obtain, always limit your query to at most {top_k} results. You can order the results by a relevant column to return the most interesting examples in the database.
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Never query for all the columns from a specific table, only ask for a the few relevant columns given the question.
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Pay attention to use only the column names that you can see in the schema description. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.
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Use the following format:
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Question: "Question here"
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SQLQuery: "SQL Query to run"
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SQLResult: "Result of the SQLQuery"
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Answer: "Final answer here"
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Only use the tables listed below.
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{table_info}
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Question: {input}"""
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PROMPT = PromptTemplate(
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input_variables=["input", "table_info", "dialect", "top_k"],
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template=_DEFAULT_TEMPLATE,
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)
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_DECIDER_TEMPLATE = """Given the below input question and list of potential tables, output a comma separated list of the table names that may be necessary to answer this question.
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Question: {query}
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Table Names: {table_names}
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Relevant Table Names:"""
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DECIDER_PROMPT = PromptTemplate(
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input_variables=["query", "table_names"],
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template=_DECIDER_TEMPLATE,
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output_parser=CommaSeparatedListOutputParser(),
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)
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_googlesql_prompt = """You are a GoogleSQL expert. Given an input question, first create a syntactically correct GoogleSQL query to run, then look at the results of the query and return the answer to the input question.
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Unless the user specifies in the question a specific number of examples to obtain, query for at most {top_k} results using the LIMIT clause as per GoogleSQL. You can order the results to return the most informative data in the database.
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Never query for all columns from a table. You must query only the columns that are needed to answer the question. Wrap each column name in backticks (`) to denote them as delimited identifiers.
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Pay attention to use only the column names you can see in the tables below. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.
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Use the following format:
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Question: "Question here"
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SQLQuery: "SQL Query to run"
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SQLResult: "Result of the SQLQuery"
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Answer: "Final answer here"
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Only use the following tables:
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{table_info}
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Question: {input}"""
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GOOGLESQL_PROMPT = PromptTemplate(
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input_variables=["input", "table_info", "top_k"],
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template=_googlesql_prompt,
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)
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_mssql_prompt = """You are an MS SQL expert. Given an input question, first create a syntactically correct MS SQL query to run, then look at the results of the query and return the answer to the input question.
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Unless the user specifies in the question a specific number of examples to obtain, query for at most {top_k} results using the TOP clause as per MS SQL. You can order the results to return the most informative data in the database.
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Never query for all columns from a table. You must query only the columns that are needed to answer the question. Wrap each column name in square brackets ([]) to denote them as delimited identifiers.
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Pay attention to use only the column names you can see in the tables below. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.
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Use the following format:
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Question: "Question here"
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SQLQuery: "SQL Query to run"
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SQLResult: "Result of the SQLQuery"
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Answer: "Final answer here"
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Only use the following tables:
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{table_info}
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Question: {input}"""
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MSSQL_PROMPT = PromptTemplate(
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input_variables=["input", "table_info", "top_k"], template=_mssql_prompt
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)
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_mysql_prompt = """You are a MySQL expert. Given an input question, first create a syntactically correct MySQL query to run, then look at the results of the query and return the answer to the input question.
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Unless the user specifies in the question a specific number of examples to obtain, query for at most {top_k} results using the LIMIT clause as per MySQL. You can order the results to return the most informative data in the database.
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Never query for all columns from a table. You must query only the columns that are needed to answer the question. Wrap each column name in backticks (`) to denote them as delimited identifiers.
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Pay attention to use only the column names you can see in the tables below. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.
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Use the following format:
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Question: "Question here"
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SQLQuery: "SQL Query to run"
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SQLResult: "Result of the SQLQuery"
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Answer: "Final answer here"
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Only use the following tables:
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{table_info}
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Question: {input}"""
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MYSQL_PROMPT = PromptTemplate(
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input_variables=["input", "table_info", "top_k"],
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template=_mysql_prompt,
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)
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_mariadb_prompt = """You are a MariaDB expert. Given an input question, first create a syntactically correct MariaDB query to run, then look at the results of the query and return the answer to the input question.
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Unless the user specifies in the question a specific number of examples to obtain, query for at most {top_k} results using the LIMIT clause as per MariaDB. You can order the results to return the most informative data in the database.
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Never query for all columns from a table. You must query only the columns that are needed to answer the question. Wrap each column name in backticks (`) to denote them as delimited identifiers.
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Pay attention to use only the column names you can see in the tables below. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.
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Use the following format:
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Question: "Question here"
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SQLQuery: "SQL Query to run"
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SQLResult: "Result of the SQLQuery"
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Answer: "Final answer here"
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Only use the following tables:
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{table_info}
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Question: {input}"""
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MARIADB_PROMPT = PromptTemplate(
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input_variables=["input", "table_info", "top_k"],
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template=_mariadb_prompt,
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)
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_oracle_prompt = """You are an Oracle SQL expert. Given an input question, first create a syntactically correct Oracle SQL query to run, then look at the results of the query and return the answer to the input question.
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Unless the user specifies in the question a specific number of examples to obtain, query for at most {top_k} results using the FETCH FIRST n ROWS ONLY clause as per Oracle SQL. You can order the results to return the most informative data in the database.
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Never query for all columns from a table. You must query only the columns that are needed to answer the question. Wrap each column name in double quotes (") to denote them as delimited identifiers.
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Pay attention to use only the column names you can see in the tables below. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.
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Use the following format:
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Question: "Question here"
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SQLQuery: "SQL Query to run"
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SQLResult: "Result of the SQLQuery"
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Answer: "Final answer here"
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Only use the following tables:
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{table_info}
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Question: {input}"""
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ORACLE_PROMPT = PromptTemplate(
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input_variables=["input", "table_info", "top_k"],
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template=_oracle_prompt,
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)
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_postgres_prompt = """You are a PostgreSQL expert. Given an input question, first create a syntactically correct PostgreSQL query to run, then look at the results of the query and return the answer to the input question.
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Unless the user specifies in the question a specific number of examples to obtain, query for at most {top_k} results using the LIMIT clause as per PostgreSQL. You can order the results to return the most informative data in the database.
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Never query for all columns from a table. You must query only the columns that are needed to answer the question. Wrap each column name in double quotes (") to denote them as delimited identifiers.
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Pay attention to use only the column names you can see in the tables below. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.
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Use the following format:
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Question: "Question here"
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SQLQuery: "SQL Query to run"
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SQLResult: "Result of the SQLQuery"
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Answer: "Final answer here"
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Only use the following tables:
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{table_info}
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Question: {input}"""
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POSTGRES_PROMPT = PromptTemplate(
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input_variables=["input", "table_info", "top_k"], template=_postgres_prompt
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)
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_sqlite_prompt = """You are a SQLite expert. Given an input question, first create a syntactically correct SQLite query to run, then look at the results of the query and return the answer to the input question.
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Unless the user specifies in the question a specific number of examples to obtain, query for at most {top_k} results using the LIMIT clause as per SQLite. You can order the results to return the most informative data in the database.
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Never query for all columns from a table. You must query only the columns that are needed to answer the question. Wrap each column name in double quotes (") to denote them as delimited identifiers.
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Pay attention to use only the column names you can see in the tables below. Be careful to not query for columns that do not exist. Also, pay attention to which column is in which table.
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Use the following format:
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Question: "Question here"
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SQLQuery: "SQL Query to run"
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SQLResult: "Result of the SQLQuery"
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Answer: "Final answer here"
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Only use the following tables:
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{table_info}
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Question: {input}"""
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SQLITE_PROMPT = PromptTemplate(
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input_variables=["input", "table_info", "top_k"],
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template=_sqlite_prompt,
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)
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SQL_PROMPTS = {
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"googlesql": GOOGLESQL_PROMPT,
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"mssql": MSSQL_PROMPT,
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"mysql": MYSQL_PROMPT,
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"mariadb": MARIADB_PROMPT,
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"oracle": ORACLE_PROMPT,
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"postgresql": POSTGRES_PROMPT,
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"sqlite": SQLITE_PROMPT,
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}
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