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Update test.py
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test.py
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import pandas as pd
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import re
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json_string = re.search(r"```(.*?)```", llm_output, re.DOTALL).group(1).strip()
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import pandas as pd
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import re
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import json
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import pandas as pd
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import re
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# The text output from the LLM (you would replace this with the actual output)
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llm_output = """
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... [Your provided text goes here] ...
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"""
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# Extract JSON strings using regex
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json_strings = re.findall(r'```json\n(.*?)```', llm_output, re.DOTALL)
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# Parse each JSON string and collect the data
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data = []
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for json_str in json_strings:
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try:
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parsed = json.loads(json_str)
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entity_name = parsed['entity_name']
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attributes = parsed['attributes'][0]
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attributes['entity_name'] = entity_name
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data.append(attributes)
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except json.JSONDecodeError:
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print(f"Error parsing JSON: {json_str}")
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# Create a pandas DataFrame
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df = pd.DataFrame(data)
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# Reorder columns to have 'entity_name' first
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cols = ['entity_name'] + [col for col in df.columns if col != 'entity_name']
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df = df[cols]
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# Display the DataFrame
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print(df)
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json_string = re.search(r"```(.*?)```", llm_output, re.DOTALL).group(1).strip()
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