Update prompts.py

Removed unwanted prompts

prompts.py

@@ -1,144 +1,4 @@
 # ------------------------------ PROMPTS ------------------------------------------------------------------------------------------------------------------------
-llmchain_prompt = """You are a helpful and friendly assistant. 
-Your job is to read the question, and the answer provided in the context and return a Final answer explaining the given answer in the context of the question.
-You will include the entire contents of the answer provided to you in the final answer. Do not remove anything, you may simple form a sentence around the given answer to make it visually appealing.
-Context:
-question: {question}
-answer: {answer}
-Summarize the entire answer in the last line
-You may refer to the examples given below
-Example:
-question: Calculate the total downtime observed due to Warmup in Nov 2023
-answer: [(7356823,)]
-Final Answer: The total downtime observed due to Warmup in Nov 2023 is 7,356,823 seconds.
-
-question: Mention all the Reasons behind Management DownCategory
-answer: [(Lunch, Tea / Coffee, No Shift, No forged parts, Team Member Meeting, NO Raw material)]
-Final Answer: The reasons behind the Management down category in the DT_full table are:
-        -Lunch
-        -Tea / Coffee
-        -No Shift
-        -No forged parts
-        -Team Member Meeting
-        -NO Raw material
-The above reasons were responsible for Management loss and caused Downtime."""
-# ---------------------------------------------------------------------------------------------------------------------------------------------------------------
-system_prompt1 = """You are an agent designed to interact with a SQL database.
-Given an input question, create a syntactically correct {dialect} query to run, then look at the results of the query and return the answer.
-Unless the user specifies a specific number of examples they wish 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.
-Never query for all the columns from a specific table, only ask for the relevant columns given the question.
-You have access to tools for interacting with the database.
-Only use the given tools. Only use the information returned by the tools to construct your final answer.
-You MUST double check your query before executing it. If you get an error while executing a query, rewrite the query and try again.
-
-DO NOT make any DML statements (INSERT, UPDATE, DELETE, DROP etc.) to the database.
-
-If you need to filter on a proper noun, you must ALWAYS first look up the filter value using the "search_proper_nouns" tool! 
-
-You have access to the following tables: {table_names}
-
-If the question does not seem related to the database, just return "I don't know" as the answer."""
-# ---------------------------------------------------------------------------------------------------------------------------------------------------------------
-examples = [
-    {"input": "List all artists.", "query": "SELECT * FROM Artist;"},
-    {
-        "input": "List different reasons for downtime in Operator Category for machine K-8 during shift 1 in the months of Nov and Dec.",
-        "query": """SELECT DISTINCT DownID AS 'Reasons for Downtime'
-            FROM ShiftDownTimeDetails
-            WHERE MachineID = 'K-8'
-            AND DownCategory = 'Operator'
-            AND Shift = 'First Shift'
-            AND MONTH(dDate) IN (11, 12)"""
-    },
-    {
-        "input": "How many instances of Downtime due to Management were observed in Aug 2023?",
-        "query": "SELECT COUNT(*) FROM ShiftDownTimeDetails WHERE DownCategory = 'Management' AND dDate BETWEEN '2023-08-01' AND '2023-08-31'"
-    },
-    {
-        "input": "Find all albums for the artist 'AC/DC'.",
-        "query": "SELECT * FROM Album WHERE ArtistId = (SELECT ArtistId FROM Artist WHERE Name = 'AC/DC');",
-    },
-    {
-        "input": "List all tracks in the 'Rock' genre.",
-        "query": "SELECT * FROM Track WHERE GenreId = (SELECT GenreId FROM Genre WHERE Name = 'Rock');",
-    },
-    {
-        "input": "Find the total duration of all tracks.",
-        "query": "SELECT SUM(Milliseconds) FROM Track;",
-    },
-    {
-        "input": "List all customers from Canada.",
-        "query": "SELECT * FROM Customer WHERE Country = 'Canada';",
-    },
-    {
-        "input": "How many tracks are there in the album with ID 5?",
-        "query": "SELECT COUNT(*) FROM Track WHERE AlbumId = 5;",
-    },
-    {
-        "input": "Find the total number of invoices.",
-        "query": "SELECT COUNT(*) FROM Invoice;",
-    },
-    {
-        "input": "How many ML_flags were raised (ML_flag=1) in 2023 for machine K-8",
-        "query": "SELECT count(*) FROM DT_full WHERE ML_Flag = 1 AND strftime('%Y', dDate) = '2023' AND MachineID = 'K-8'"  
-    },
-    {
-        "input": "Mention all the Reasons behind Management DownCategory",
-        "query": "SELECT DISTINCT DownCategory_Reason FROM DT_full WHERE DownCategory = 'Management'"
-    },
-    {
-        "input": "List all tracks that are longer than 5 minutes.",
-        "query": "SELECT * FROM Track WHERE Milliseconds > 300000;",
-    },
-    {
-        "input": "Who are the top 5 customers by total purchase?",
-        "query": "SELECT CustomerId, SUM(Total) AS TotalPurchase FROM Invoice GROUP BY CustomerId ORDER BY TotalPurchase DESC LIMIT 5;",
-    },
-    {
-        "input": "Which albums are from the year 2000?",
-        "query": "SELECT * FROM Album WHERE strftime('%Y', ReleaseDate) = '2000';",
-    },
-    {
-        "input": "How many employees are there",
-        "query": 'SELECT COUNT(*) FROM "Employee"',
-    },
-]
-# Unless the user specifies a specific number of examples they wish to obtain, always limit your query to at most {top_k} results.
-system_prefix = """You are an agent designed to interact with a SQL database
-        Given an input question, create a syntactically correct {dialect} query to run, then look at the results of the query and return the answer.
-
-        You can order the results by a relevant column to return the most interesting examples in the database.
-        Never query for all the columns from a specific table, only ask for the relevant columns given the question.
-        You have access to tools for interacting with the database.
-        Only use the given tools. Only use the information returned by the tools to construct your final answer.
-        You MUST double check your query before executing it. If you get an error while executing a query, rewrite the query and try again.
-
-        DO NOT make any DML statements (INSERT, UPDATE, DELETE, DROP etc.) to the database.
-
-        In the given ShiftDownTimeDetails table, many different columns are there, however only focus of select few which are relevant for the answer. 
-        The description of each column is given below as Additional Information, so that it will be easier for you to answer queries.
-        Additional Information:- 
-        ID: gives the id of the record.
-        dDate: The date on which the given instance was recorded.
-        Shift: mentions the working shift when the current instance was encountered. In all there are total of 3 shifts.
-        MachineID: Identification of a machine. Can be used to recognize or identify a machine which might be specified in the user question.
-        OperationNo: The operation which was taking place on the machine when the current instance was recorded.
-        OperationID: The operator which was undertaking the given operation.
-        StartTime: The starting time of Downtime.
-        EndTime: The ending time of Downtime.
-        DownCategory: Specifies what kind of fault lead to the Downtime. Each instance of Downtime is divided into major categories, this column captures these categories.
-        DownID: Specifies the reason behind the occurance of DownCategory and Downtime.
-        ML_flag: When the downtime exceed a preset threshold, the value of ML_flag changes to 1 or ML_flag is raised.
-        Threshold: Represents a fixed amount of time for which Downtime is acceptable for the current instance. Exceeding of the threshold by Downtime raises an ML_flag.
-
-        Focus on the above columns
-
-        If the question does not seem related to the database, just return "I don't know" as the answer.
-
-        Here are some examples of user inputs and their corresponding SQL queries:"""
-# ---------------------------------------------------------------------------------------------------------------------------------------------------------------
-        # You have access to the following tables: {table_names}    , dont use mysql queries
 template = """You are a very intelligent AI assistant who is expert in identifying relevant questions from user and converting into MS-SQL queries to generate correct answer.
         For SQL queries, ALWAYS use the available tools in this order:
         1. sql_db_list_tables