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1130 lines (1064 loc) · 108 KB
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2025-03-29 13:58:08,196 - INFO - CSV file uploaded successfully.
2025-03-30 20:10:28,087 - INFO - CSV file uploaded successfully.
2025-03-30 20:10:41,890 - INFO - CSV file uploaded successfully.
2025-03-30 20:10:41,987 - INFO - CSV file uploaded successfully.
2025-03-30 20:10:41,987 - INFO - User Prompt: Generate python code for How many ballers took more than 3 wickets in 2022
2025-03-30 20:10:41,999 - INFO - Dataset info retrieved: {'columns': ['Year', 'Player_Name', 'Matches_Batted', 'Not_Outs', 'Runs_Scored', 'Highest_Score', 'Batting_Average', 'Balls_Faced', 'Batting_Strike_Rate', 'Centuries', 'Half_Centuries', 'Fours', 'Sixes', 'Catches_Taken', 'Stumpings', 'Matches_Bowled', 'Balls_Bowled', 'Runs_Conceded', 'Wickets_Taken', 'Best_Bowling_Match', 'Bowling_Average', 'Economy_Rate', 'Bowling_Strike_Rate', 'Four_Wicket_Hauls', 'Five_Wicket_Hauls'], 'num_rows': 1008, 'num_columns': 25, 'sample_data': {'Year': {0: nan, 1: 2024.0, 2: 2023.0}, 'Player_Name': {0: 'Aaron Hardie', 1: 'Abdul Samad', 2: 'Abdul Samad'}, 'Matches_Batted': {0: 'No stats', 1: '16', 2: '9'}, 'Not_Outs': {0: 'No stats', 1: '2', 2: '4'}, 'Runs_Scored': {0: 'No stats', 1: '182', 2: '169'}, 'Highest_Score': {0: 'No stats', 1: '37*', 2: '37*'}, 'Batting_Average': {0: 'No stats', 1: '18.2', 2: '42.25'}, 'Balls_Faced': {0: 'No stats', 1: '108', 2: '128'}, 'Batting_Strike_Rate': {0: 'No stats', 1: '168.52', 2: '132.03'}, 'Centuries': {0: 'No stats', 1: '0', 2: '0'}, 'Half_Centuries': {0: 'No stats', 1: '0', 2: '0'}, 'Fours': {0: 'No stats', 1: '15', 2: '10'}, 'Sixes': {0: 'No stats', 1: '11', 2: '11'}, 'Catches_Taken': {0: 'No stats', 1: '9', 2: '4'}, 'Stumpings': {0: 'No stats', 1: '0', 2: '0'}, 'Matches_Bowled': {0: 'No stats', 1: '16', 2: '9'}, 'Balls_Bowled': {0: 'No stats', 1: '0', 2: '0'}, 'Runs_Conceded': {0: 'No stats', 1: '0', 2: '0'}, 'Wickets_Taken': {0: 'No stats', 1: '0', 2: '0'}, 'Best_Bowling_Match': {0: 'No stats', 1: '0', 2: '0'}, 'Bowling_Average': {0: 'No stats', 1: '0', 2: '0'}, 'Economy_Rate': {0: 'No stats', 1: '0', 2: '0'}, 'Bowling_Strike_Rate': {0: 'No stats', 1: '0', 2: '0'}, 'Four_Wicket_Hauls': {0: 'No stats', 1: '0', 2: '0'}, 'Five_Wicket_Hauls': {0: 'No stats', 1: '0', 2: '0'}}}
2025-03-30 20:10:56,412 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 20:10:56,414 - INFO - Code generated successfully.
2025-03-30 20:10:56,414 - INFO - Extracted Python code successfully.
2025-03-30 20:10:56,415 - INFO - Chat history updated.
2025-03-30 20:10:56,418 - INFO - Code written to generated_script.py.
2025-03-30 20:10:57,044 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 7, in <module>
numWicketTakers = filtered_data.loc[(filtered_data["Five_Wicket_Hauls"] > 3) & (filtered_data['Year']==2022), "Player_Name"].count() # Filters for players who took more than three wickets in 'year' equal to two zeroes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/ops/common.py", line 72, in new_method
return method(self, other)
^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/arraylike.py", line 58, in __gt__
return self._cmp_method(other, operator.gt)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/series.py", line 6243, in _cmp_method
res_values = ops.comparison_op(lvalues, rvalues, op)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/ops/array_ops.py", line 287, in comparison_op
res_values = comp_method_OBJECT_ARRAY(op, lvalues, rvalues)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/ops/array_ops.py", line 75, in comp_method_OBJECT_ARRAY
result = libops.scalar_compare(x.ravel(), y, op)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pandas/_libs/ops.pyx", line 107, in pandas._libs.ops.scalar_compare
TypeError: '>' not supported between instances of 'str' and 'int'
2025-03-30 20:12:05,697 - INFO - CSV file uploaded successfully.
2025-03-30 20:12:11,487 - INFO - CSV file uploaded successfully.
2025-03-30 20:12:32,340 - INFO - CSV file uploaded successfully.
2025-03-30 20:12:54,626 - INFO - CSV file uploaded successfully.
2025-03-30 20:12:57,394 - INFO - CSV file uploaded successfully.
2025-03-30 20:12:57,395 - INFO - User Prompt: Generate python code for How many ballers took more than 3 wickets in 2021
2025-03-30 20:12:57,404 - INFO - Dataset info retrieved: {'columns': ['Year', 'Player_Name', 'Matches_Batted', 'Not_Outs', 'Runs_Scored', 'Highest_Score', 'Batting_Average', 'Balls_Faced', 'Batting_Strike_Rate', 'Centuries', 'Half_Centuries', 'Fours', 'Sixes', 'Catches_Taken', 'Stumpings', 'Matches_Bowled', 'Balls_Bowled', 'Runs_Conceded', 'Wickets_Taken', 'Best_Bowling_Match', 'Bowling_Average', 'Economy_Rate', 'Bowling_Strike_Rate', 'Four_Wicket_Hauls', 'Five_Wicket_Hauls'], 'num_rows': 1008, 'num_columns': 25, 'sample_data': {'Year': {0: nan, 1: 2024.0, 2: 2023.0}, 'Player_Name': {0: 'Aaron Hardie', 1: 'Abdul Samad', 2: 'Abdul Samad'}, 'Matches_Batted': {0: 'No stats', 1: '16', 2: '9'}, 'Not_Outs': {0: 'No stats', 1: '2', 2: '4'}, 'Runs_Scored': {0: 'No stats', 1: '182', 2: '169'}, 'Highest_Score': {0: 'No stats', 1: '37*', 2: '37*'}, 'Batting_Average': {0: 'No stats', 1: '18.2', 2: '42.25'}, 'Balls_Faced': {0: 'No stats', 1: '108', 2: '128'}, 'Batting_Strike_Rate': {0: 'No stats', 1: '168.52', 2: '132.03'}, 'Centuries': {0: 'No stats', 1: '0', 2: '0'}, 'Half_Centuries': {0: 'No stats', 1: '0', 2: '0'}, 'Fours': {0: 'No stats', 1: '15', 2: '10'}, 'Sixes': {0: 'No stats', 1: '11', 2: '11'}, 'Catches_Taken': {0: 'No stats', 1: '9', 2: '4'}, 'Stumpings': {0: 'No stats', 1: '0', 2: '0'}, 'Matches_Bowled': {0: 'No stats', 1: '16', 2: '9'}, 'Balls_Bowled': {0: 'No stats', 1: '0', 2: '0'}, 'Runs_Conceded': {0: 'No stats', 1: '0', 2: '0'}, 'Wickets_Taken': {0: 'No stats', 1: '0', 2: '0'}, 'Best_Bowling_Match': {0: 'No stats', 1: '0', 2: '0'}, 'Bowling_Average': {0: 'No stats', 1: '0', 2: '0'}, 'Economy_Rate': {0: 'No stats', 1: '0', 2: '0'}, 'Bowling_Strike_Rate': {0: 'No stats', 1: '0', 2: '0'}, 'Four_Wicket_Hauls': {0: 'No stats', 1: '0', 2: '0'}, 'Five_Wicket_Hauls': {0: 'No stats', 1: '0', 2: '0'}}}
2025-03-30 20:12:57,416 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 404 Not Found"
2025-03-30 20:12:57,417 - ERROR - Error generating code: model "gemini3:7b" not found, try pulling it first (status code: 404)
2025-03-30 20:12:57,417 - INFO - Chat history updated.
2025-03-30 20:12:57,418 - INFO - Code written to generated_script.py.
2025-03-30 20:12:57,454 - ERROR - Execution Error: File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 1
Error generating code: model "gemini3:7b" not found, try pulling it first (status code: 404)
^^^^^^^^^^
SyntaxError: invalid syntax
2025-03-30 20:13:48,886 - INFO - CSV file uploaded successfully.
2025-03-30 20:13:59,797 - INFO - CSV file uploaded successfully.
2025-03-30 20:13:59,900 - INFO - CSV file uploaded successfully.
2025-03-30 20:13:59,901 - INFO - User Prompt: Generate python code for How many ballers took more than 3 wickets in 2021
2025-03-30 20:13:59,909 - INFO - Dataset info retrieved: {'columns': ['Year', 'Player_Name', 'Matches_Batted', 'Not_Outs', 'Runs_Scored', 'Highest_Score', 'Batting_Average', 'Balls_Faced', 'Batting_Strike_Rate', 'Centuries', 'Half_Centuries', 'Fours', 'Sixes', 'Catches_Taken', 'Stumpings', 'Matches_Bowled', 'Balls_Bowled', 'Runs_Conceded', 'Wickets_Taken', 'Best_Bowling_Match', 'Bowling_Average', 'Economy_Rate', 'Bowling_Strike_Rate', 'Four_Wicket_Hauls', 'Five_Wicket_Hauls'], 'num_rows': 1008, 'num_columns': 25, 'sample_data': {'Year': {0: nan, 1: 2024.0, 2: 2023.0}, 'Player_Name': {0: 'Aaron Hardie', 1: 'Abdul Samad', 2: 'Abdul Samad'}, 'Matches_Batted': {0: 'No stats', 1: '16', 2: '9'}, 'Not_Outs': {0: 'No stats', 1: '2', 2: '4'}, 'Runs_Scored': {0: 'No stats', 1: '182', 2: '169'}, 'Highest_Score': {0: 'No stats', 1: '37*', 2: '37*'}, 'Batting_Average': {0: 'No stats', 1: '18.2', 2: '42.25'}, 'Balls_Faced': {0: 'No stats', 1: '108', 2: '128'}, 'Batting_Strike_Rate': {0: 'No stats', 1: '168.52', 2: '132.03'}, 'Centuries': {0: 'No stats', 1: '0', 2: '0'}, 'Half_Centuries': {0: 'No stats', 1: '0', 2: '0'}, 'Fours': {0: 'No stats', 1: '15', 2: '10'}, 'Sixes': {0: 'No stats', 1: '11', 2: '11'}, 'Catches_Taken': {0: 'No stats', 1: '9', 2: '4'}, 'Stumpings': {0: 'No stats', 1: '0', 2: '0'}, 'Matches_Bowled': {0: 'No stats', 1: '16', 2: '9'}, 'Balls_Bowled': {0: 'No stats', 1: '0', 2: '0'}, 'Runs_Conceded': {0: 'No stats', 1: '0', 2: '0'}, 'Wickets_Taken': {0: 'No stats', 1: '0', 2: '0'}, 'Best_Bowling_Match': {0: 'No stats', 1: '0', 2: '0'}, 'Bowling_Average': {0: 'No stats', 1: '0', 2: '0'}, 'Economy_Rate': {0: 'No stats', 1: '0', 2: '0'}, 'Bowling_Strike_Rate': {0: 'No stats', 1: '0', 2: '0'}, 'Four_Wicket_Hauls': {0: 'No stats', 1: '0', 2: '0'}, 'Five_Wicket_Hauls': {0: 'No stats', 1: '0', 2: '0'}}}
2025-03-30 20:14:14,934 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 20:14:14,938 - INFO - Code generated successfully.
2025-03-30 20:14:14,938 - INFO - Extracted Python code successfully.
2025-03-30 20:14:14,939 - INFO - Chat history updated.
2025-03-30 20:14:14,943 - INFO - Code written to generated_script.py.
2025-03-30 20:14:16,021 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 9, in <module>
df['Year'] = df['Year'].astype(int)
^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/generic.py", line 6240, in astype
new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/internals/managers.py", line 448, in astype
return self.apply("astype", dtype=dtype, copy=copy, errors=errors)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/internals/managers.py", line 352, in apply
applied = getattr(b, f)(**kwargs)
^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/internals/blocks.py", line 526, in astype
new_values = astype_array_safe(values, dtype, copy=copy, errors=errors)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/dtypes/astype.py", line 299, in astype_array_safe
new_values = astype_array(values, dtype, copy=copy)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/dtypes/astype.py", line 230, in astype_array
values = astype_nansafe(values, dtype, copy=copy)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/dtypes/astype.py", line 140, in astype_nansafe
return _astype_float_to_int_nansafe(arr, dtype, copy)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/dtypes/astype.py", line 182, in _astype_float_to_int_nansafe
raise IntCastingNaNError(
pandas.errors.IntCastingNaNError: Cannot convert non-finite values (NA or inf) to integer
2025-03-30 20:20:14,959 - INFO - CSV file uploaded successfully.
2025-03-30 20:20:29,366 - INFO - CSV file uploaded successfully.
2025-03-30 23:21:22,098 - INFO - CSV file uploaded successfully.
2025-03-30 23:21:22,180 - INFO - CSV file uploaded successfully.
2025-03-30 23:21:22,180 - INFO - User Prompt: Generate python code for How many ballers took more than 5 wickets in 2023?
2025-03-30 23:21:22,181 - ERROR - Error reading dataset: 'utf-8' codec can't decode byte 0xa2 in position 11: invalid start byte
2025-03-30 23:21:38,056 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:21:38,059 - INFO - Code generated successfully.
2025-03-30 23:21:38,059 - INFO - Extracted Python code successfully.
2025-03-30 23:21:38,060 - INFO - Chat history updated.
2025-03-30 23:21:38,065 - INFO - Code written to generated_script.py.
2025-03-30 23:21:39,016 - INFO - Execution Output: Error reading dataset: 'utf-8' codec can't decode byte 0xa2 in position 11: invalid start byte
Attempting to read the file with 'latin-1' encoding...
2025-03-30 23:21:39,016 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 7, in <module>
df = pd.read_csv('uploaded_file.csv')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/util/_decorators.py", line 211, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/util/_decorators.py", line 331, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 950, in read_csv
return _read(filepath_or_buffer, kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 605, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1442, in __init__
self._engine = self._make_engine(f, self.engine)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1753, in _make_engine
return mapping[engine](f, **self.options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 79, in __init__
self._reader = parsers.TextReader(src, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pandas/_libs/parsers.pyx", line 547, in pandas._libs.parsers.TextReader.__cinit__
File "pandas/_libs/parsers.pyx", line 636, in pandas._libs.parsers.TextReader._get_header
File "pandas/_libs/parsers.pyx", line 852, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 1965, in pandas._libs.parsers.raise_parser_error
File "<frozen codecs>", line 322, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa2 in position 11: invalid start byte
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 12, in <module>
df = pd.read_csv('uploaded_file.csv', encoding='latin-1')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/util/_decorators.py", line 211, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/util/_decorators.py", line 331, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 950, in read_csv
return _read(filepath_or_buffer, kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 611, in _read
return parser.read(nrows)
^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1778, in read
) = self._engine.read( # type: ignore[attr-defined]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 230, in read
chunks = self._reader.read_low_memory(nrows)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pandas/_libs/parsers.pyx", line 808, in pandas._libs.parsers.TextReader.read_low_memory
File "pandas/_libs/parsers.pyx", line 866, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 852, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 1973, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 12, saw 2
2025-03-30 23:33:11,950 - INFO - CSV file uploaded successfully.
2025-03-30 23:34:12,633 - INFO - CSV file uploaded successfully.
2025-03-30 23:34:12,687 - INFO - CSV file uploaded successfully.
2025-03-30 23:34:12,687 - INFO - User Prompt: Generate python code for Does people between age 20 to 30 or 30 to 40 have more diabetese cases?
2025-03-30 23:34:12,692 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:34:53,851 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:34:53,854 - INFO - Code generated successfully.
2025-03-30 23:34:53,855 - INFO - Extracted Python code successfully.
2025-03-30 23:34:53,855 - INFO - Chat history updated.
2025-03-30 23:34:53,860 - INFO - Code written to generated_script.py.
2025-03-30 23:34:53,907 - ERROR - Execution Error: File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 13
except UnicodeDecodeError as e:
^
IndentationError: unindent does not match any outer indentation level
2025-03-30 23:35:14,704 - INFO - CSV file uploaded successfully.
2025-03-30 23:35:14,705 - INFO - User Prompt: Generate python code for Does people between age 20 to 30 or 30 to 40 have more diabetese cases?
2025-03-30 23:35:14,715 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:35:33,698 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:35:33,701 - INFO - Code generated successfully.
2025-03-30 23:35:33,701 - INFO - Extracted Python code successfully.
2025-03-30 23:35:33,702 - INFO - Chat history updated.
2025-03-30 23:35:33,706 - INFO - Code written to generated_script.py.
2025-03-30 23:35:33,756 - ERROR - Execution Error: File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 13
except UnicodeDecodeError as e:
^
IndentationError: unindent does not match any outer indentation level
2025-03-30 23:37:26,323 - INFO - CSV file uploaded successfully.
2025-03-30 23:37:49,196 - INFO - CSV file uploaded successfully.
2025-03-30 23:37:49,284 - INFO - CSV file uploaded successfully.
2025-03-30 23:37:49,285 - INFO - User Prompt: Generate python code for How many people in the range 30 to 40 years have daibetese?
2025-03-30 23:37:49,288 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:38:07,545 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:38:07,547 - INFO - Code generated successfully.
2025-03-30 23:38:07,548 - INFO - Extracted Python code successfully.
2025-03-30 23:38:07,548 - INFO - Chat history updated.
2025-03-30 23:38:07,552 - INFO - Code written to generated_script.py.
2025-03-30 23:38:07,948 - INFO - Execution Output: Number of people aged between 30 and 40 with diabetes: 82
2025-03-30 23:39:21,154 - INFO - CSV file uploaded successfully.
2025-03-30 23:39:37,702 - INFO - CSV file uploaded successfully.
2025-03-30 23:39:37,707 - INFO - User Prompt: Generate python code for Can you compare the number of people having diabetese in age ranges 0 to 10, 10 to 20, 20 to 30, 30 to 40 and 40 to 50. And make a bar graph
2025-03-30 23:39:37,716 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:39:51,267 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:39:51,270 - INFO - Code generated successfully.
2025-03-30 23:39:51,270 - WARNING - No code block found in response.
2025-03-30 23:39:51,271 - INFO - Chat history updated.
2025-03-30 23:39:51,273 - INFO - Code written to generated_script.py.
2025-03-30 23:39:51,844 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 18, in <module>
plt.bar(diabetes_counts.index.left, diabetes_counts.values, width=10, edgecolor='black')
^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'Index' object has no attribute 'left'
2025-03-30 23:40:00,652 - INFO - CSV file uploaded successfully.
2025-03-30 23:40:00,653 - INFO - User Prompt: Generate python code for Can you compare the number of people having diabetese in age ranges 0 to 10, 10 to 20, 20 to 30, 30 to 40 and 40 to 50. And make a bar graph
2025-03-30 23:40:00,658 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:40:13,758 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:40:13,759 - INFO - Code generated successfully.
2025-03-30 23:40:13,759 - WARNING - No code block found in response.
2025-03-30 23:40:13,759 - INFO - Chat history updated.
2025-03-30 23:40:13,762 - INFO - Code written to generated_script.py.
2025-03-30 23:40:14,300 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 18, in <module>
plt.bar(diabetes_counts.index.left, diabetes_counts.values, width=10, edgecolor='black')
^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'Index' object has no attribute 'left'
2025-03-30 23:40:39,681 - INFO - CSV file uploaded successfully.
2025-03-30 23:40:45,989 - INFO - CSV file uploaded successfully.
2025-03-30 23:40:45,990 - INFO - User Prompt: Generate python code for Can you compare the number of people having diabetese in age ranges 0 to 10, 10 to 20, 20 to 30, 30 to 40 and 40 to 50. And make a bar graph.
And do not make this mistake
Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 18, in <module>
plt.bar(diabetes_counts.index.left, diabetes_counts.values, width=10, edgecolor='black')
^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'Index' object has no attribute 'left'
2025-03-30 23:40:45,997 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:41:03,008 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:41:03,010 - INFO - Code generated successfully.
2025-03-30 23:41:03,010 - WARNING - No code block found in response.
2025-03-30 23:41:03,010 - INFO - Chat history updated.
2025-03-30 23:41:03,012 - INFO - Code written to generated_script.py.
2025-03-30 23:41:03,557 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 17, in <module>
bin_edges = [interval.left for interval in diabetes_counts.index]
^^^^^^^^^^^^^
AttributeError: 'int' object has no attribute 'left'
2025-03-30 23:41:20,075 - INFO - CSV file uploaded successfully.
2025-03-30 23:41:22,377 - INFO - CSV file uploaded successfully.
2025-03-30 23:41:22,377 - INFO - User Prompt: Generate python code for Can you compare the number of people having diabetese in age ranges 0 to 10, 10 to 20, 20 to 30, 30 to 40 and 40 to 50. And make a bar graph.
And do not make this mistake
Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 18, in <module>
plt.bar(diabetes_counts.index.left, diabetes_counts.values, width=10, edgecolor='black')
^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'Index' object has no attribute 'left'
and this
Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 17, in <module>
bin_edges = [interval.left for interval in diabetes_counts.index]
^^^^^^^^^^^^^
AttributeError: 'int' object has no attribute 'left'
2025-03-30 23:41:22,386 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:41:41,317 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:41:41,318 - INFO - Code generated successfully.
2025-03-30 23:41:41,318 - WARNING - No code block found in response.
2025-03-30 23:41:41,318 - INFO - Chat history updated.
2025-03-30 23:41:41,320 - INFO - Code written to generated_script.py.
2025-03-30 23:41:41,861 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 17, in <module>
bin_edges = [interval.left for interval in diabetes_counts.index]
^^^^^^^^^^^^^
AttributeError: 'int' object has no attribute 'left'
2025-03-30 23:42:15,639 - INFO - CSV file uploaded successfully.
2025-03-30 23:42:18,914 - INFO - CSV file uploaded successfully.
2025-03-30 23:42:18,914 - INFO - User Prompt: Generate python code for Can you compare the number of people having diabetese in age ranges 0 to 10, 10 to 20, 20 to 30, 30 to 40 and 40 to 50. And make a bar graph.
2025-03-30 23:42:18,923 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:42:47,437 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:42:47,438 - INFO - Code generated successfully.
2025-03-30 23:42:47,438 - WARNING - No code block found in response.
2025-03-30 23:42:47,439 - INFO - Chat history updated.
2025-03-30 23:42:47,441 - INFO - Code written to generated_script.py.
2025-03-30 23:42:47,969 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 17, in <module>
bin_edges = [interval.left for interval in diabetes_counts.index]
^^^^^^^^^^^^^
AttributeError: 'int' object has no attribute 'left'
2025-03-30 23:43:05,571 - INFO - CSV file uploaded successfully.
2025-03-30 23:43:07,838 - INFO - CSV file uploaded successfully.
2025-03-30 23:43:07,839 - INFO - User Prompt: Generate python code for Can you compare the number of people having diabetese in age ranges 0 to 10, 10 to 20, 20 to 30, 30 to 40 and 40 to 50.
2025-03-30 23:43:07,846 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:43:27,380 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:43:27,381 - INFO - Code generated successfully.
2025-03-30 23:43:27,381 - WARNING - No code block found in response.
2025-03-30 23:43:27,381 - INFO - Chat history updated.
2025-03-30 23:43:27,384 - INFO - Code written to generated_script.py.
2025-03-30 23:43:27,712 - INFO - Execution Output: 0 0
(0, 10] 0
(10, 20] 0
(20, 30] 90
(30, 40] 76
(40, 50] 64
Name: AgeGroup, dtype: int64
2025-03-30 23:43:46,228 - INFO - CSV file uploaded successfully.
2025-03-30 23:43:46,286 - INFO - CSV file uploaded successfully.
2025-03-30 23:43:46,286 - INFO - User Prompt: Generate python code for Can you compare the number of people having diabetese in age ranges 0 to 10, 10 to 20, 20 to 30, 30 to 40 and 40 to 50. can you make a plot of it too
2025-03-30 23:43:46,288 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:44:14,713 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:44:14,714 - INFO - Code generated successfully.
2025-03-30 23:44:14,715 - WARNING - No code block found in response.
2025-03-30 23:44:14,715 - INFO - Chat history updated.
2025-03-30 23:44:14,717 - INFO - Code written to generated_script.py.
2025-03-30 23:44:15,259 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 17, in <module>
bin_edges = [interval.left for interval in diabetes_counts.index]
^^^^^^^^^^^^^
AttributeError: 'int' object has no attribute 'left'
2025-03-30 23:45:27,164 - INFO - CSV file uploaded successfully.
2025-03-30 23:45:34,063 - INFO - CSV file uploaded successfully.
2025-03-30 23:45:34,064 - INFO - User Prompt: Generate python code for Can you provide me the age range of 5 years in which the diabetes cases are maximum
2025-03-30 23:45:34,070 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:45:56,788 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:45:56,790 - INFO - Code generated successfully.
2025-03-30 23:45:56,791 - WARNING - No code block found in response.
2025-03-30 23:45:56,791 - INFO - Chat history updated.
2025-03-30 23:45:56,796 - INFO - Code written to generated_script.py.
2025-03-30 23:45:57,187 - INFO - Execution Output: The age range of 5 years in which the diabetes cases are maximum is: (20, 25]
2025-03-30 23:46:40,101 - INFO - CSV file uploaded successfully.
2025-03-30 23:46:40,174 - INFO - CSV file uploaded successfully.
2025-03-30 23:46:40,174 - INFO - User Prompt: Generate python code for Can you provide me the age range of 5 years in which the diabetes cases are maximum, and how many are there?
Also compare it with second and third highest 5 year ranges
2025-03-30 23:46:40,177 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:47:03,564 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:47:03,566 - INFO - Code generated successfully.
2025-03-30 23:47:03,566 - WARNING - No code block found in response.
2025-03-30 23:47:03,566 - INFO - Chat history updated.
2025-03-30 23:47:03,568 - INFO - Code written to generated_script.py.
2025-03-30 23:47:03,944 - INFO - Execution Output: Top Three Age Ranges with Maximum Diabetes Cases:
(20, 25]: 45 cases
(25, 30]: 45 cases
(40, 45]: 44 cases
2025-03-30 23:47:50,722 - INFO - CSV file uploaded successfully.
2025-03-30 23:47:50,724 - INFO - User Prompt: Generate python code for Can you provide me the age range of 5 years in which the diabetes cases are maximum, and how many are there?
Also compare it with second and third highest 5 year ranges
2025-03-30 23:47:50,730 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:48:11,595 - INFO - CSV file uploaded successfully.
2025-03-30 23:48:47,603 - INFO - CSV file uploaded successfully.
2025-03-30 23:48:47,681 - INFO - CSV file uploaded successfully.
2025-03-30 23:48:47,681 - INFO - User Prompt: Generate python code for Which age range of 10 years has maximum cases of diabetes, provide the count. Do this analysis for second and third highest age range as well.
2025-03-30 23:48:47,684 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:49:02,640 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:49:02,641 - INFO - Code generated successfully.
2025-03-30 23:49:02,642 - INFO - Extracted Python code successfully.
2025-03-30 23:49:02,642 - INFO - Chat history updated.
2025-03-30 23:49:02,644 - INFO - Code written to generated_script.py.
2025-03-30 23:49:03,268 - INFO - Execution Output: Top 3 age groups with maximum cases of diabetes:
0-29 396
30-39 165
40-49 118
Name: AgeGroup, dtype: int64
2025-03-30 23:49:03,280 - INFO - Generated plot displayed successfully.
2025-03-30 23:50:08,847 - INFO - CSV file uploaded successfully.
2025-03-30 23:50:08,958 - INFO - CSV file uploaded successfully.
2025-03-30 23:50:08,959 - INFO - Previous plot deleted.
2025-03-30 23:50:08,959 - INFO - User Prompt: Generate python code for Which age range of 20 years has maximum cases of diabetes, provide the count. Do this analysis for second and third highest age range as well.
2025-03-30 23:50:08,962 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:50:23,827 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:50:23,828 - INFO - Code generated successfully.
2025-03-30 23:50:23,828 - INFO - Extracted Python code successfully.
2025-03-30 23:50:23,828 - INFO - Chat history updated.
2025-03-30 23:50:23,830 - INFO - Code written to generated_script.py.
2025-03-30 23:50:24,483 - INFO - Execution Output: Top 3 age groups with maximum cases of diabetes in 20-year intervals:
20-39 561
40-59 175
60-79 31
Name: AgeGroup, dtype: int64
2025-03-30 23:50:24,484 - INFO - Generated plot displayed successfully.
2025-03-30 23:53:04,819 - INFO - CSV file uploaded successfully.
2025-03-30 23:53:39,111 - INFO - CSV file uploaded successfully.
2025-03-30 23:53:39,173 - INFO - CSV file uploaded successfully.
2025-03-30 23:53:39,174 - INFO - Previous plot deleted.
2025-03-30 23:53:39,174 - INFO - User Prompt: Generate python code for What percentage of people in the range of 20-30 has diabetese?
Do this analysis for age ranges of 30-40 and 40-50 as well
2025-03-30 23:53:39,176 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:53:50,670 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:53:50,671 - INFO - Code generated successfully.
2025-03-30 23:53:50,672 - INFO - Extracted Python code successfully.
2025-03-30 23:53:50,672 - INFO - Chat history updated.
2025-03-30 23:53:50,679 - INFO - Code written to generated_script.py.
2025-03-30 23:53:51,228 - ERROR - Execution Error: /Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py:40: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown
plt.show()
2025-03-30 23:53:51,240 - INFO - Generated plot displayed successfully.
2025-03-30 23:56:26,480 - INFO - CSV file uploaded successfully.
2025-03-30 23:56:54,139 - INFO - CSV file uploaded successfully.
2025-03-30 23:56:54,211 - INFO - CSV file uploaded successfully.
2025-03-30 23:56:54,211 - INFO - Previous plot deleted.
2025-03-30 23:56:54,211 - INFO - User Prompt: Generate python code for Which factor is most corelated to the diabetese?
2025-03-30 23:56:54,213 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:57:06,258 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:57:06,259 - INFO - Code generated successfully.
2025-03-30 23:57:06,259 - INFO - Extracted Python code successfully.
2025-03-30 23:57:06,259 - INFO - Chat history updated.
2025-03-30 23:57:06,262 - INFO - Code written to generated_script.py.
2025-03-30 23:57:06,981 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 26, in <module>
plot_correlation_matrix(df)
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 18, in plot_correlation_matrix
sns.heatmap(corr_matrix, annot=True, fmt=".2f", cmap='coolwarm')
^^^
NameError: name 'sns' is not defined
2025-03-30 23:57:40,747 - INFO - CSV file uploaded successfully.
2025-03-30 23:57:40,855 - INFO - CSV file uploaded successfully.
2025-03-30 23:57:40,855 - INFO - User Prompt: Generate python code for Which factor is most corelated to the diabetese?
2025-03-30 23:57:40,860 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:57:47,467 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:57:47,468 - INFO - Code generated successfully.
2025-03-30 23:57:47,468 - INFO - Extracted Python code successfully.
2025-03-30 23:57:47,469 - INFO - Chat history updated.
2025-03-30 23:57:47,471 - INFO - Code written to generated_script.py.
2025-03-30 23:58:07,425 - INFO - CSV file uploaded successfully.
2025-03-30 23:58:09,328 - INFO - CSV file uploaded successfully.
2025-03-30 23:58:09,329 - INFO - User Prompt: Generate python code for Which factor is most corelated to the diabetese? Can you provide some visuals for understanding as well?
2025-03-30 23:58:09,334 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:58:22,947 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:58:22,948 - INFO - Code generated successfully.
2025-03-30 23:58:22,948 - INFO - Extracted Python code successfully.
2025-03-30 23:58:22,949 - INFO - Chat history updated.
2025-03-30 23:58:22,951 - INFO - Code written to generated_script.py.
2025-03-30 23:58:24,332 - ERROR - Execution Error: /Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py:45: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown
plt.show()
2025-03-30 23:58:39,096 - INFO - CSV file uploaded successfully.
2025-03-30 23:59:04,560 - INFO - CSV file uploaded successfully.
2025-03-30 23:59:04,654 - INFO - CSV file uploaded successfully.
2025-03-30 23:59:04,655 - INFO - User Prompt: Generate python code for Which factor is most corelated to diabetese, explain through graphs
2025-03-30 23:59:04,658 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-30 23:59:19,496 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-30 23:59:19,497 - INFO - Code generated successfully.
2025-03-30 23:59:19,497 - INFO - Extracted Python code successfully.
2025-03-30 23:59:19,497 - INFO - Chat history updated.
2025-03-30 23:59:19,499 - INFO - Code written to generated_script.py.
2025-03-30 23:59:20,521 - ERROR - Execution Error: /Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py:36: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown
plt.show()
2025-03-30 23:59:48,256 - INFO - CSV file uploaded successfully.
2025-03-31 00:00:37,535 - INFO - CSV file uploaded successfully.
2025-03-31 00:00:37,608 - INFO - CSV file uploaded successfully.
2025-03-31 00:00:37,609 - INFO - User Prompt: Generate python code for What percentage of people with no pregnancy has diabetese and what percentage of people with preganancy has diabetese
2025-03-31 00:00:37,611 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 00:00:46,329 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 00:00:46,330 - INFO - Code generated successfully.
2025-03-31 00:00:46,330 - INFO - Extracted Python code successfully.
2025-03-31 00:00:46,330 - INFO - Chat history updated.
2025-03-31 00:00:46,333 - INFO - Code written to generated_script.py.
2025-03-31 00:09:59,851 - INFO - CSV file uploaded successfully.
2025-03-31 00:10:30,310 - INFO - CSV file uploaded successfully.
2025-03-31 00:10:30,390 - INFO - CSV file uploaded successfully.
2025-03-31 00:10:30,390 - INFO - User Prompt: Generate python code for What is the percentage of diabetic people in the age of 30 to 50?
2025-03-31 00:10:30,393 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 00:10:35,254 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 00:10:35,255 - INFO - Code generated successfully.
2025-03-31 00:10:35,256 - INFO - Extracted Python code successfully.
2025-03-31 00:10:35,256 - INFO - Chat history updated.
2025-03-31 00:10:35,259 - INFO - Code written to generated_script.py.
2025-03-31 00:10:35,963 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 5, in <module>
df = pd.read_csv(url)
^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/util/_decorators.py", line 211, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/util/_decorators.py", line 331, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 950, in read_csv
return _read(filepath_or_buffer, kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 605, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1442, in __init__
self._engine = self._make_engine(f, self.engine)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1735, in _make_engine
self.handles = get_handle(
^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/common.py", line 713, in get_handle
ioargs = _get_filepath_or_buffer(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/common.py", line 363, in _get_filepath_or_buffer
with urlopen(req_info) as req:
^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/common.py", line 265, in urlopen
return urllib.request.urlopen(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 215, in urlopen
return opener.open(url, data, timeout)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 521, in open
response = meth(req, response)
^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 630, in http_response
response = self.parent.error(
^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 559, in error
return self._call_chain(*args)
^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 492, in _call_chain
result = func(*args)
^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 639, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 404: Not Found
2025-03-31 00:12:16,347 - INFO - CSV file uploaded successfully.
2025-03-31 00:12:16,425 - INFO - CSV file uploaded successfully.
2025-03-31 00:12:16,425 - INFO - User Prompt: Generate python code for What is the percentage of diabetic people in the age of 30 to 50, do not make any plots?
2025-03-31 00:12:16,427 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 00:12:18,353 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 00:12:18,354 - INFO - Code generated successfully.
2025-03-31 00:12:18,354 - WARNING - No code block found in response.
2025-03-31 00:12:18,355 - INFO - Chat history updated.
2025-03-31 00:12:18,357 - INFO - Code written to generated_script.py.
2025-03-31 00:12:19,134 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 5, in <module>
df = pd.read_csv(url)
^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/util/_decorators.py", line 211, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/util/_decorators.py", line 331, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 950, in read_csv
return _read(filepath_or_buffer, kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 605, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1442, in __init__
self._engine = self._make_engine(f, self.engine)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1735, in _make_engine
self.handles = get_handle(
^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/common.py", line 713, in get_handle
ioargs = _get_filepath_or_buffer(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/common.py", line 363, in _get_filepath_or_buffer
with urlopen(req_info) as req:
^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/io/common.py", line 265, in urlopen
return urllib.request.urlopen(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 215, in urlopen
return opener.open(url, data, timeout)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 521, in open
response = meth(req, response)
^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 630, in http_response
response = self.parent.error(
^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 559, in error
return self._call_chain(*args)
^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 492, in _call_chain
result = func(*args)
^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/urllib/request.py", line 639, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 404: Not Found
2025-03-31 00:12:51,960 - INFO - CSV file uploaded successfully.
2025-03-31 00:13:13,181 - INFO - CSV file uploaded successfully.
2025-03-31 00:13:13,260 - INFO - CSV file uploaded successfully.
2025-03-31 00:13:13,261 - INFO - User Prompt: Generate python code for Which is the percentage of diabetic people in age of 30 to 40?
2025-03-31 00:13:13,268 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 00:13:17,935 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 00:13:17,936 - INFO - Code generated successfully.
2025-03-31 00:13:17,936 - INFO - Extracted Python code successfully.
2025-03-31 00:13:17,936 - INFO - Chat history updated.
2025-03-31 00:13:17,939 - INFO - Code written to generated_script.py.
2025-03-31 00:13:18,491 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/indexes/base.py", line 3802, in get_loc
return self._engine.get_loc(casted_key)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 146, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index_class_helper.pxi", line 49, in pandas._libs.index.Int64Engine._check_type
KeyError: '1'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 11, in <module>
diabetic_people = filtered_data['Outcome'].value_counts()['1']
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/series.py", line 981, in __getitem__
return self._get_value(key)
^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/series.py", line 1089, in _get_value
loc = self.index.get_loc(label)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/pandas/core/indexes/base.py", line 3804, in get_loc
raise KeyError(key) from err
KeyError: '1'
2025-03-31 00:14:36,287 - INFO - CSV file uploaded successfully.
2025-03-31 00:15:02,311 - INFO - CSV file uploaded successfully.
2025-03-31 00:15:02,374 - INFO - CSV file uploaded successfully.
2025-03-31 00:15:02,375 - INFO - User Prompt: Generate python code for What percentage of people in the range of 40 to 50 years have diabetese?
2025-03-31 00:15:02,378 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 00:15:19,486 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 00:15:19,487 - INFO - Code generated successfully.
2025-03-31 00:15:19,487 - INFO - Extracted Python code successfully.
2025-03-31 00:15:19,487 - INFO - Chat history updated.
2025-03-31 00:15:19,489 - INFO - Code written to generated_script.py.
2025-03-31 00:15:20,136 - ERROR - Execution Error: /Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py:23: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown
plt.show()
2025-03-31 00:15:20,148 - INFO - Generated plot displayed successfully.
2025-03-31 00:18:45,725 - INFO - CSV file uploaded successfully.
2025-03-31 00:19:20,025 - INFO - CSV file uploaded successfully.
2025-03-31 00:19:20,085 - INFO - CSV file uploaded successfully.
2025-03-31 00:19:20,086 - INFO - Previous plot deleted.
2025-03-31 00:19:20,086 - INFO - User Prompt: Generate python code for Are more people in the range of 30 to 40 diabetic or 20 to 30, give me the stats
2025-03-31 00:19:20,088 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 00:19:39,952 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 00:19:39,954 - INFO - Code generated successfully.
2025-03-31 00:19:39,955 - INFO - Extracted Python code successfully.
2025-03-31 00:19:39,955 - INFO - Chat history updated.
2025-03-31 00:19:39,958 - INFO - Code written to generated_script.py.
2025-03-31 00:19:40,363 - ERROR - Execution Error: /Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py:11: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
count_30_to_40_diabetic = range_30_to_40[df['Outcome'] == 1].shape[0]
/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py:12: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
count_20_to_30_diabetic = range_20_to_30[df['Outcome'] == 1].shape[0]
2025-03-31 12:18:50,133 - INFO - CSV file uploaded successfully.
2025-03-31 12:18:55,144 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:00,626 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:00,691 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:00,692 - INFO - User Prompt: Generate python code for How many rows are there?
2025-03-31 12:19:00,695 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:19:07,804 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:19:07,808 - INFO - Code generated successfully.
2025-03-31 12:19:07,809 - INFO - Extracted Python code successfully.
2025-03-31 12:19:07,809 - INFO - Chat history updated.
2025-03-31 12:19:07,819 - INFO - Code written to generated_script.py.
2025-03-31 12:19:16,258 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:16,329 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:16,329 - INFO - User Prompt: Generate python code for How many fields are there?
2025-03-31 12:19:16,333 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:19:18,899 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:19:18,900 - INFO - Code generated successfully.
2025-03-31 12:19:18,901 - WARNING - No code block found in response.
2025-03-31 12:19:18,901 - INFO - Chat history updated.
2025-03-31 12:19:18,904 - INFO - Code written to generated_script.py.
2025-03-31 12:19:18,953 - ERROR - Execution Error: File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 12
The number of fields in the dataset is: 9
^^^^^^
SyntaxError: invalid syntax
2025-03-31 12:19:33,101 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:36,738 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:40,717 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:40,812 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:41,991 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:42,682 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:43,616 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:45,926 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:46,508 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:47,405 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:47,406 - INFO - User Prompt: Generate python code for How many fields are there?
2025-03-31 12:19:47,412 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:19:51,482 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:19:51,483 - INFO - Code generated successfully.
2025-03-31 12:19:51,483 - INFO - Extracted Python code successfully.
2025-03-31 12:19:51,483 - INFO - Chat history updated.
2025-03-31 12:19:51,485 - INFO - Code written to generated_script.py.
2025-03-31 12:19:56,718 - INFO - CSV file uploaded successfully.
2025-03-31 12:19:58,465 - INFO - CSV file uploaded successfully.
2025-03-31 12:20:01,167 - INFO - CSV file uploaded successfully.
2025-03-31 12:20:01,168 - INFO - User Prompt: Generate python code for How many fields are there?
2025-03-31 12:20:01,173 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:20:05,785 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:20:05,786 - INFO - Code generated successfully.
2025-03-31 12:20:05,786 - INFO - Extracted Python code successfully.
2025-03-31 12:20:05,786 - INFO - Chat history updated.
2025-03-31 12:20:05,789 - INFO - Code written to generated_script.py.
2025-03-31 12:20:09,844 - INFO - CSV file uploaded successfully.
2025-03-31 12:20:10,984 - INFO - CSV file uploaded successfully.
2025-03-31 12:20:11,957 - INFO - CSV file uploaded successfully.
2025-03-31 12:20:34,809 - INFO - CSV file uploaded successfully.
2025-03-31 12:20:34,873 - INFO - CSV file uploaded successfully.
2025-03-31 12:20:34,873 - INFO - User Prompt: How many rows are there?
2025-03-31 12:20:34,879 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:20:39,510 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:20:39,511 - INFO - Code generated successfully.
2025-03-31 12:20:39,511 - INFO - Extracted Python code successfully.
2025-03-31 12:20:39,511 - INFO - Chat history updated.
2025-03-31 12:20:39,513 - INFO - Code written to generated_script.py.
2025-03-31 12:20:39,555 - ERROR - Execution Error: File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 12
The number of rows (records) is: 768
^^^^^^
SyntaxError: invalid syntax
2025-03-31 12:20:44,194 - INFO - CSV file uploaded successfully.
2025-03-31 12:20:44,195 - INFO - User Prompt: How many rows are there?
2025-03-31 12:20:44,203 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:20:48,243 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:20:48,244 - INFO - Code generated successfully.
2025-03-31 12:20:48,244 - INFO - Extracted Python code successfully.
2025-03-31 12:20:48,245 - INFO - Chat history updated.
2025-03-31 12:20:48,247 - INFO - Code written to generated_script.py.
2025-03-31 12:20:52,290 - INFO - CSV file uploaded successfully.
2025-03-31 12:20:53,796 - INFO - CSV file uploaded successfully.
2025-03-31 12:21:10,020 - INFO - CSV file uploaded successfully.
2025-03-31 12:21:10,103 - INFO - CSV file uploaded successfully.
2025-03-31 12:21:10,104 - INFO - User Prompt: How many people are diabetic in the age bracket of 30 to 40
2025-03-31 12:21:10,106 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:21:13,036 - INFO - CSV file uploaded successfully.
2025-03-31 12:21:14,053 - INFO - CSV file uploaded successfully.
2025-03-31 12:21:14,158 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:21:14,159 - INFO - Code generated successfully.
2025-03-31 12:21:14,159 - WARNING - No code block found in response.
2025-03-31 12:21:16,643 - INFO - CSV file uploaded successfully.
2025-03-31 12:21:16,644 - INFO - User Prompt: How many people are diabetic in the age bracket of 30 to 40
2025-03-31 12:21:16,649 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:21:22,327 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:21:22,329 - INFO - Code generated successfully.
2025-03-31 12:21:22,329 - INFO - Extracted Python code successfully.
2025-03-31 12:21:22,329 - INFO - Chat history updated.
2025-03-31 12:21:22,332 - INFO - Code written to generated_script.py.
2025-03-31 12:21:26,142 - INFO - CSV file uploaded successfully.
2025-03-31 12:21:28,139 - INFO - CSV file uploaded successfully.
2025-03-31 12:21:29,547 - INFO - CSV file uploaded successfully.
2025-03-31 12:48:21,310 - INFO - CSV file uploaded successfully.
2025-03-31 12:48:39,086 - INFO - CSV file uploaded successfully.
2025-03-31 12:48:39,159 - INFO - CSV file uploaded successfully.
2025-03-31 12:48:39,159 - INFO - User Prompt: What are the different fields in the dataset?
2025-03-31 12:48:39,170 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:48:47,817 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:48:47,819 - INFO - Code generated successfully.
2025-03-31 12:48:47,819 - WARNING - No code block found in response.
2025-03-31 12:48:47,819 - INFO - Chat history updated.
2025-03-31 12:48:47,822 - INFO - Code written to generated_script.py.
2025-03-31 12:48:47,886 - ERROR - Execution Error: File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 1
The dataset contains the following fields:
^^^^^^^
SyntaxError: invalid syntax
2025-03-31 12:48:58,049 - INFO - CSV file uploaded successfully.
2025-03-31 12:48:58,049 - INFO - User Prompt: What are the different fields in the dataset?
2025-03-31 12:48:58,051 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:49:02,532 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:49:02,533 - INFO - Code generated successfully.
2025-03-31 12:49:02,533 - WARNING - No code block found in response.
2025-03-31 12:49:02,533 - INFO - Chat history updated.
2025-03-31 12:49:02,536 - INFO - Code written to generated_script.py.
2025-03-31 12:49:02,585 - ERROR - Execution Error: File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 1
Based on the information provided, the dataset contains the following fields:
^^
SyntaxError: invalid syntax
2025-03-31 12:49:08,039 - INFO - CSV file uploaded successfully.
2025-03-31 12:49:08,039 - INFO - User Prompt: What are the different fields in the dataset?
2025-03-31 12:49:08,045 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:49:12,391 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:49:12,392 - INFO - Code generated successfully.
2025-03-31 12:49:12,392 - WARNING - No code block found in response.
2025-03-31 12:49:12,392 - INFO - Chat history updated.
2025-03-31 12:49:12,394 - INFO - Code written to generated_script.py.
2025-03-31 12:49:12,441 - ERROR - Execution Error: File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 1
The dataset contains the following fields:
^^^^^^^
SyntaxError: invalid syntax
2025-03-31 12:51:45,507 - INFO - CSV file uploaded successfully.
2025-03-31 12:51:57,189 - INFO - CSV file uploaded successfully.
2025-03-31 12:51:57,272 - INFO - CSV file uploaded successfully.
2025-03-31 12:51:57,272 - INFO - User Prompt: How many fields are there in this dataset?
2025-03-31 12:51:57,276 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:52:00,828 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:52:00,830 - INFO - Code generated successfully.
2025-03-31 12:52:00,830 - INFO - Extracted Python code successfully.
2025-03-31 12:52:00,830 - INFO - Chat history updated.
2025-03-31 12:52:00,832 - INFO - Code written to generated_script.py.
2025-03-31 12:52:17,120 - INFO - CSV file uploaded successfully.
2025-03-31 12:52:18,756 - INFO - CSV file uploaded successfully.
2025-03-31 12:52:18,757 - INFO - User Prompt: Can you name all the fields?
2025-03-31 12:52:18,759 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:52:22,392 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:52:22,393 - INFO - Code generated successfully.
2025-03-31 12:52:22,393 - INFO - Extracted Python code successfully.
2025-03-31 12:52:22,393 - INFO - Chat history updated.
2025-03-31 12:52:22,395 - INFO - Code written to generated_script.py.
2025-03-31 12:53:06,287 - INFO - CSV file uploaded successfully.
2025-03-31 12:53:13,195 - INFO - CSV file uploaded successfully.
2025-03-31 12:53:13,195 - INFO - User Prompt: Which age bracket of 10 years has highest percentage of diabetic people?
2025-03-31 12:53:13,198 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:53:20,345 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:53:20,347 - INFO - Code generated successfully.
2025-03-31 12:53:20,347 - INFO - Extracted Python code successfully.
2025-03-31 12:53:20,347 - INFO - Chat history updated.
2025-03-31 12:53:20,350 - INFO - Code written to generated_script.py.
2025-03-31 12:54:22,962 - INFO - CSV file uploaded successfully.
2025-03-31 12:54:23,973 - INFO - CSV file uploaded successfully.
2025-03-31 12:54:23,973 - INFO - User Prompt: Which age range of 10 years (e.g. 0 to 10, 10 to 20, 20 to 30 etc) has highest percentage of diabetese?
2025-03-31 12:54:23,975 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:54:36,944 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:54:36,946 - INFO - Code generated successfully.
2025-03-31 12:54:36,947 - WARNING - No code block found in response.
2025-03-31 12:54:36,947 - INFO - Chat history updated.
2025-03-31 12:54:36,950 - INFO - Code written to generated_script.py.
2025-03-31 12:54:37,010 - ERROR - Execution Error: File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 28
This code will categorize the ages into ranges (0-10, 11-20, etc.) and calculate the percentage of diabetic people in each range. It then identifies the age range with the highest percentage.
^^^^
SyntaxError: invalid syntax
2025-03-31 12:54:55,166 - INFO - CSV file uploaded successfully.
2025-03-31 12:54:55,167 - INFO - User Prompt: Which age range of 10 years (e.g. 0 to 10, 10 to 20, 20 to 30 etc) has highest percentage of diabetese?
2025-03-31 12:54:55,170 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:55:07,926 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:55:07,928 - INFO - Code generated successfully.
2025-03-31 12:55:07,928 - INFO - Extracted Python code successfully.
2025-03-31 12:55:07,928 - INFO - Chat history updated.
2025-03-31 12:55:07,931 - INFO - Code written to generated_script.py.
2025-03-31 12:55:08,463 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 18, in <module>
percentage = len(filtered_df[filtered_df['Outcome'] == 1]) / len(filtered_df) * 100
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
ZeroDivisionError: division by zero
2025-03-31 12:57:21,854 - INFO - CSV file uploaded successfully.
2025-03-31 12:57:45,632 - INFO - CSV file uploaded successfully.
2025-03-31 12:57:49,487 - INFO - CSV file uploaded successfully.
2025-03-31 12:57:49,613 - INFO - CSV file uploaded successfully.
2025-03-31 12:57:49,613 - INFO - User Prompt: Which age range of 10 years (e.g. 0 to 10, 10 to 20, 20 to 30 etc) has highest percentage of diabetese?
ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 18, in <module>
percentage = len(filtered_df[filtered_df['Outcome'] == 1]) / len(filtered_df) * 100
2025-03-31 12:57:49,616 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:58:05,970 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:58:05,973 - INFO - Code generated successfully.
2025-03-31 12:58:05,973 - INFO - Extracted Python code successfully.
2025-03-31 12:58:05,978 - INFO - Chat history updated.
2025-03-31 12:58:05,988 - INFO - Code written to generated_script.py.
2025-03-31 12:59:24,665 - INFO - CSV file uploaded successfully.
2025-03-31 12:59:24,767 - INFO - CSV file uploaded successfully.
2025-03-31 12:59:24,767 - INFO - User Prompt: Which age range of 10 years (e.g. 0 to 10, 10 to 20, 20 to 30 etc) has highest percentage of diabetese? Can you also plot it as a bargraph?
2025-03-31 12:59:24,774 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 12:59:46,160 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 12:59:46,160 - INFO - Code generated successfully.
2025-03-31 12:59:46,160 - WARNING - No code block found in response.
2025-03-31 12:59:46,160 - INFO - Chat history updated.
2025-03-31 12:59:46,163 - INFO - Code written to generated_script.py.
2025-03-31 12:59:46,229 - ERROR - Execution Error: File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 35
```
^
SyntaxError: invalid syntax
2025-03-31 12:59:55,974 - INFO - CSV file uploaded successfully.
2025-03-31 12:59:55,974 - INFO - User Prompt: Which age range of 10 years (e.g. 0 to 10, 10 to 20, 20 to 30 etc) has highest percentage of diabetese? Can you also plot it as a bargraph?
2025-03-31 12:59:55,981 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 13:00:17,320 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 13:00:17,322 - INFO - Code generated successfully.
2025-03-31 13:00:17,322 - INFO - Extracted Python code successfully.
2025-03-31 13:00:17,322 - INFO - Chat history updated.
2025-03-31 13:00:17,324 - INFO - Code written to generated_script.py.
2025-03-31 13:00:18,081 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 29, in <module>
plt.bar(age_ranges, list(age_range_percentages.values()), color='skyblue')
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/pyplot.py", line 2981, in bar
return gca().bar(
^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/__init__.py", line 1521, in inner
return func(
^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/axes/_axes.py", line 2572, in bar
x, height, width, y, linewidth, hatch = np.broadcast_arrays(
^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/numpy/lib/stride_tricks.py", line 540, in broadcast_arrays
shape = _broadcast_shape(*args)
^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/numpy/lib/stride_tricks.py", line 422, in _broadcast_shape
b = np.broadcast(*args[:32])
^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: shape mismatch: objects cannot be broadcast to a single shape. Mismatch is between arg 0 with shape (10, 2) and arg 1 with shape (7,).
2025-03-31 13:01:09,177 - INFO - CSV file uploaded successfully.
2025-03-31 13:01:10,579 - INFO - CSV file uploaded successfully.
2025-03-31 13:01:10,580 - INFO - User Prompt: Which age range of 10 years (e.g. 0 to 10, 10 to 20, 20 to 30 etc) has highest percentage of diabetese? Can you also plot it as a bargraph?
ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 29, in <module>
plt.bar(age_ranges, list(age_range_percentages.values()), color='skyblue')
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/pyplot.py", line 2981, in bar
return gca().bar(
^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/__init__.py", line 1521, in inner
return func(
^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/axes/_axes.py", line 2572, in bar
x, height, width, y, linewidth, hatch = np.broadcast_arrays(
^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/numpy/lib/stride_tricks.py", line 540, in broadcast_arrays
shape = _broadcast_shape(*args)
^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/numpy/lib/stride_tricks.py", line 422, in _broadcast_shape
b = np.broadcast(*args[:32])
^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: shape mismatch: objects cannot be broadcast to a single shape. Mismatch is between arg 0 with shape (10, 2) and arg 1 with shape (7,).
2025-03-31 13:01:10,592 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 13:01:36,295 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 13:01:36,299 - INFO - Code generated successfully.
2025-03-31 13:01:36,299 - INFO - Extracted Python code successfully.
2025-03-31 13:01:36,299 - INFO - Chat history updated.
2025-03-31 13:01:36,303 - INFO - Code written to generated_script.py.
2025-03-31 13:01:37,168 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 29, in <module>
plt.bar(age_ranges, list(age_range_percentages.values()), color='skyblue')
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/pyplot.py", line 2981, in bar
return gca().bar(
^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/__init__.py", line 1521, in inner
return func(
^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/axes/_axes.py", line 2572, in bar
x, height, width, y, linewidth, hatch = np.broadcast_arrays(
^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/numpy/lib/stride_tricks.py", line 540, in broadcast_arrays
shape = _broadcast_shape(*args)
^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/numpy/lib/stride_tricks.py", line 422, in _broadcast_shape
b = np.broadcast(*args[:32])
^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: shape mismatch: objects cannot be broadcast to a single shape. Mismatch is between arg 0 with shape (10, 2) and arg 1 with shape (7,).
2025-03-31 13:03:13,201 - INFO - CSV file uploaded successfully.
2025-03-31 13:03:13,335 - INFO - CSV file uploaded successfully.
2025-03-31 13:03:13,335 - INFO - User Prompt: Which age range of 10 years (e.g. 0 to 10, 10 to 20, 20 to 30 etc) has highest percentage of diabetese? Can you also plot the percentage of diabetic people in each range?
2025-03-31 13:03:13,338 - INFO - Dataset info retrieved: {'columns': ['Pregnancies', 'Glucose', 'BloodPressure', 'SkinThickness', 'Insulin', 'BMI', 'DiabetesPedigreeFunction', 'Age', 'Outcome'], 'num_rows': 768, 'num_columns': 9, 'sample_data': {'Pregnancies': {0: 6, 1: 1, 2: 8}, 'Glucose': {0: 148, 1: 85, 2: 183}, 'BloodPressure': {0: 72, 1: 66, 2: 64}, 'SkinThickness': {0: 35, 1: 29, 2: 0}, 'Insulin': {0: 0, 1: 0, 2: 0}, 'BMI': {0: 33.6, 1: 26.6, 2: 23.3}, 'DiabetesPedigreeFunction': {0: 0.627, 1: 0.351, 2: 0.672}, 'Age': {0: 50, 1: 31, 2: 32}, 'Outcome': {0: 1, 1: 0, 2: 1}}}
2025-03-31 13:03:33,922 - INFO - HTTP Request: POST http://127.0.0.1:11434/api/chat "HTTP/1.1 200 OK"
2025-03-31 13:03:33,923 - INFO - Code generated successfully.
2025-03-31 13:03:33,924 - INFO - Extracted Python code successfully.
2025-03-31 13:03:33,924 - INFO - Chat history updated.
2025-03-31 13:03:33,926 - INFO - Code written to generated_script.py.
2025-03-31 13:03:34,536 - ERROR - Execution Error: Traceback (most recent call last):
File "/Users/yuvraj/Desktop/KDaaS-Prototype/generated_script.py", line 28, in <module>
plt.bar(age_ranges, list(age_range_percentages.values()), color='skyblue')
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/pyplot.py", line 2981, in bar
return gca().bar(
^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/__init__.py", line 1521, in inner
return func(
^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/matplotlib/axes/_axes.py", line 2572, in bar
x, height, width, y, linewidth, hatch = np.broadcast_arrays(
^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/numpy/lib/stride_tricks.py", line 540, in broadcast_arrays
shape = _broadcast_shape(*args)
^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/yuvraj/miniconda3/lib/python3.12/site-packages/numpy/lib/stride_tricks.py", line 422, in _broadcast_shape
b = np.broadcast(*args[:32])
^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: shape mismatch: objects cannot be broadcast to a single shape. Mismatch is between arg 0 with shape (10, 2) and arg 1 with shape (7,).
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