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83 lines (66 loc) · 2.11 KB
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"""Main entry point for the Data Analysis Agent."""
import argparse
import logging
import sys
from agent import DataAnalysisAgent
from data_loader import load_dataset
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
)
logger = logging.getLogger(__name__)
def print_result(result) -> None:
"""Print an analysis result in a readable format."""
print("\n" + "=" * 60)
print("DATA ANALYSIS RESULT")
print("=" * 60)
print(f"Query: {result.query}")
print(f"Code: {result.pandas_code}")
print("-" * 60)
if result.error:
print(f"Error: {result.error}")
else:
print(result.result_text)
if result.result_data:
print()
print(result.result_data)
print("=" * 60 + "\n")
def interactive_mode(agent: DataAnalysisAgent) -> None:
"""Run the agent in interactive mode."""
print("Data Analysis Agent (type 'quit' to exit)")
print(f"Dataset: {agent.info.filename} ({agent.info.num_rows} rows, {agent.info.num_columns} columns)")
print(f"Columns: {', '.join(agent.info.columns)}")
print("-" * 50)
while True:
query = input("\nAsk: ").strip()
if not query:
continue
if query.lower() in ("quit", "exit", "q"):
print("Goodbye!")
break
result = agent.analyze(query)
print_result(result)
def main() -> None:
parser = argparse.ArgumentParser(
description="Data Analysis Agent -- ask questions about your data in plain English"
)
parser.add_argument(
"--data",
default="sample_data.csv",
help="Path to CSV file (default: sample_data.csv)",
)
parser.add_argument(
"--query",
default=None,
help="Single query to run (omit for interactive mode)",
)
args = parser.parse_args()
df = load_dataset(args.data)
agent = DataAnalysisAgent(df=df, filename=args.data)
if args.query:
result = agent.analyze(args.query)
print_result(result)
else:
interactive_mode(agent)
if __name__ == "__main__":
main()