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add clickhouse prompt (#4456)

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# Add clickhouse prompt

Add clickhouse database sql prompt
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zvrr 2023-05-10 22:22:42 +08:00 committed by GitHub
parent 05e749d9fe
commit 274dc4bc53
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1 changed files with 23 additions and 0 deletions
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23
langchain/chains/sql_database/prompt.py
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@ -220,6 +220,28 @@ SQLITE_PROMPT = PromptTemplate(
template=_sqlite_prompt,
)
_clickhouse_prompt = """You are a ClickHouse expert. Given an input question, first create a syntactically correct Clic query to run, then look at the results of the query and return the answer to the input question.
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 ClickHouse. You can order the results to return the most informative data in the database.
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.
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.
Use the following format:
Question: "Question here"
SQLQuery: "SQL Query to run"
SQLResult: "Result of the SQLQuery"
Answer: "Final answer here"
Only use the following tables:
{table_info}
Question: {input}"""
CLICKHOUSE_PROMPT = PromptTemplate(
input_variables=["input", "table_info", "top_k"],
template=_clickhouse_prompt,
)
SQL_PROMPTS = {
"duckdb": DUCKDB_PROMPT,
@ -230,4 +252,5 @@ SQL_PROMPTS = {
"oracle": ORACLE_PROMPT,
"postgresql": POSTGRES_PROMPT,
"sqlite": SQLITE_PROMPT,
"clickhouse": CLICKHOUSE_PROMPT,
}