Update README.md

README.md

@@ -121,7 +121,7 @@ print(doc)
 ### 1. Code Documentation
 ### prompt
 ```python
-text=''' <example_response>
+prompt =''' <example_response>
 --code:def function_2(x): return x / 2
 --question:Document the python code above giving function description ,parameters and return type and example how to call the function.
 --doc:
@@ -210,7 +210,7 @@ text=''' <example_response>
 ### 2. SQL Generation
 ### prompt
 ```python
-text = """Generate a simple SQL query from the schema mentioned for the following question.
+prompt = """Generate a simple SQL query from the schema mentioned for the following question.
 <schema>CREATE TABLE department (Department_ID number,
   Name text,
   Creation text,
@@ -238,7 +238,7 @@ SELECT head.name FROM head WHERE head.born_state <> 'California';
 ### 3. Performance Schema Monitoring
 ### prompt
 ```python
-text = """Generate the SQL query for SkySQL performance schema for the following question.
+prompt = """Generate the SQL query for SkySQL performance schema for the following question.
 <example>
 --question: What are the top 10 most frequently used queries/statements?
 --sql: SELECT DIGEST_TEXT, COUNT(*) as frequency FROM performance_schema.events_statements_summary_by_digest GROUP BY DIGEST_TEXT ORDER BY frequency DESC LIMIT 10;
@@ -263,7 +263,7 @@ SELECT USER, CURRENT_CONNECTIONS FROM accounts;
 
 ### prompt
 ```python
-text = """Generate the SQL query for SkySQL performance schema for the following question.
+prompt = """Generate the SQL query for SkySQL performance schema for the following question.
 <example>
 --question: What are the top 10 most frequently used queries/statements?
 --sql: SELECT DIGEST_TEXT, COUNT(*) as frequency FROM performance_schema.events_statements_summary_by_digest GROUP BY DIGEST_TEXT ORDER BY frequency DESC LIMIT 10;
@@ -309,5 +309,145 @@ List out 10 names of the files with the most read and writes
 SELECT FILE_NAME FROM file_summary_by_instance ORDER BY SUM_NUMBER_OF_BYTES_READ DESC, SUM_NUMBER_OF_BYTES_WRITE DESC LIMIT 10;
 ```
 
+
+### 4. Function Calling
+
+### prompt
+```python
+prompt = """
+Give a function call in python langugae for the following question:
+<example_response>
+--doc: Description: This function logs a curl command in debug mode.
+Parameters:
+- method (str): The HTTP method to use for the request.
+- url (str): The URL to send the request to.
+- data (dict, optional): The data to send in the request. Defaults to None.
+- headers (dict, optional): The headers to send with the request. Defaults to None.
+- level (int, optional): The log level to use for this log message. Defaults to logging.DEBUG.
+Returns:
+- None
+Example:
+log_curl_debug('GET', 'https://example.com')
+--question: log a curl PUT request for url https://web.io/
+--function_call: log_curl_debug(method='PUT', url = 'https://web.io')
+</example_response>
+<doc>
+Function Name: make_get_req()
+Description: This function is used to make a GET request.
+Parameters:
+- path (str): The path of the URL to be requested.
+- data (dict): The data to be sent in the body of the request.
+- flags (dict): The flags to be sent in the request.
+- params (dict): The parameters to be sent in the request.
+- headers (dict): The headers to be sent in the request.
+- not_json_response (bool): OPTIONAL: If set to True, the function will return the raw response content instead of trying to parse it as JSON.
+- trailing (str): OPTIONAL: For wrapping slash symbol in the end of string.
+- absolute (bool): OPTIONAL: If set to True, the function will not prefix the URL with the base URL.
+- advanced_mode (bool): OPTIONAL: If set to True, the function will return the raw response instead of trying to parse it as JSON.
+Returns:
+- Union[str, dict, list, None]: The response content as a string, a dictionary, a list, or None if the response was not successful.
+</doc>
+<instruction>
+1. Strictly use named parameters mentioned in the doc to generate function calls.
+2. Only return the response as python parsable string version of function call.
+3. mention the 'self' parameter if required.
+</instruction>
+<question>
+Make a GET request for the URL parameter using variable_2. For the params parameter, use 'weight' as one of the keys with variable_3 as its value, and 'width' as another key with a value of 10. For the data parameter, use variable_1. Prefix the URL with the base URL, and ensure the response is in raw format.
+</question>
+<response>
+"""
+```
+
+### response
+```python
+make_get_req(path='https://example.com/api/v1/users', data=variable_1, params={'weight': variable_3, 'width': 10}, headers={'Content-Type': 'application/json'}, not_json_response=True, absolute=True)
+```
+
+
+```python
+prompt = """
+Give only function call in python langugae as response for the following question:
+<example_response>
+--doc:
+Function:
+Help on function head in module pandas.core.generic:
+
+head(self, n: 'int' = 5) -> 'Self'
+Return the first `n` rows.
+
+This function returns the first `n` rows for the object based
+on position. It is useful for quickly testing if your object
+has the right type of data in it.
+
+For negative values of `n`, this function returns all rows except
+the last `|n|` rows, equivalent to ``df[:n]``.
+
+If n is larger than the number of rows, this function returns all rows.
+
+Parameters
+----------
+n : int, default 5
+Number of rows to select.
+
+Returns
+-------
+same type as caller
+The first `n` rows of the caller object.
+
+See Also
+--------
+DataFrame.tail: Returns the last `n` rows.
+
+Examples
+--------
+>>> df = pd.DataFrame({'animal': ['alligator', 'bee', 'falcon', 'lion',
+... 'monkey', 'parrot', 'shark', 'whale', 'zebra']})
+>>> df
+animal
+0 alligator
+
+--question: Get the top 5 rows with the highest Engagement_Score. Parameter Description: Use 5 as Number of rows to return ,Use variable_3 as Sorted DataFrame, Do not call any other function, Pass variable to self parameter for method calls
+--function_call: head(self=variable_3, n=5)
+</example_response>
+<doc>
+Function: sort_values
+sort_values in module pandas.core.frame:
+sort_values(self, by: 'IndexLabel', *, axis: 'Axis' = 0, ascending: 'bool | list[bool] | tuple[bool, ...]' = True, inplace: 'bool' = False, kind: 'SortKind' = 'quicksort', na_position: 'str' = 'last', ignore_index: 'bool' = False, key: 'ValueKeyFunc | None' = None) -> 'DataFrame | None'
+Sort by the values along either axis.
+Parameters
+----------
+by : str or list of str
+Name or list of names to sort by.
+
+- if `axis` is 0 or `'index'` then `by` may contain index
+levels and/or column labels.
+- if `axis` is 1 or `'columns'` then `by` may contain column
+levels and/or index labels.
+axis : "{0 or 'index', 1 or 'columns'}", default 0
+Axis to be sorted.
+ascending : bool or list of bool, default True
+Sort ascending vs. descending. Specify list for multiple sort
+orders. If this is a list of bools, must match the length of
+the 
+</doc>
+<instruction>
+1. Strictly use named parameters mentioned in the doc to generate function calls.
+2. Only return the response as python parsable string version of function call.
+3. Use the 'self' parameter if required in the function call with it's value in named keyword format.
+</instruction>
+<question>
+Using the above function, Sort the DataFrame by the Engagement_Score in descending order. Parameter Description: Use Engagement_Score as Column name to sort by ,Use False as Sort in descending order ,Use variable_1 as DataFrame to sort, Do not call any other function, Pass variable to self parameter for method calls
+</question>
+<function_call>
+"""
+```
+### response
+```python
+sort_values(self=variable_1, by='Engagement_Score', ascending=False)
+```
+
+
+
 ### Team
 Avi Kothari, Gyan Ranjan, Pratham Gupta, Ritvik Aryan Kalra, Soham Acharya