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logging.info("Step 1: Understanding question")
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logging.info("Step 2: Generating search queries")
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queries = self.generate_search_queries()
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logging.info("Step 3: Processing search queries in parallel")
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with ThreadPoolExecutor(max_workers=5) as executor:
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futures = [
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executor.submit(self.process_search_query, query) for query in queries
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]
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all_results = [future.result() for future in futures]
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logging.info("Step 4: Collecting all outputs")
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logging.info("Step 5: Printing graph structure")
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self.print_graph()
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return all_results
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def print_graph(self):
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"""Print the graph structure"""
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logging.info("\nGraph Summary:")
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print(f"Number of nodes: {self.graph.number_of_nodes()}")
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print(f"Number of edges: {self.graph.number_of_edges()}")
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logging.debug("\nNodes:")
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for node in self.graph.nodes(data=True):
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logging.debug(f"Node: {node[0]}")
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if "content" in node[1]:
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logging.debug(f"Content preview: {node[1]['content'][:100]}...")
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logging.debug("\nEdges:")
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for edge in self.graph.edges(data=True):
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logging.debug(
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f"Edge: {edge[0]} -> {edge[1]} (weight: {edge[2].get('weight', 1)})"
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)
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def setup_logging(verbosity):
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logging_level = logging.WARNING
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if verbosity == 1:
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logging_level = logging.INFO
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elif verbosity >= 2:
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logging_level = logging.DEBUG
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logging.basicConfig(
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handlers=[
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logging.StreamHandler(),
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],
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format="%(asctime)s - %(filename)s:%(lineno)d - %(message)s",
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datefmt="%Y-%m-%d %H:%M:%S",
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level=logging_level,
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)
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logging.captureWarnings(capture=True)
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def parse_args():
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parser = ArgumentParser(
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description=__doc__, formatter_class=RawDescriptionHelpFormatter
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)
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parser.add_argument(
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"-v",
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"--verbose",
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action="count",
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default=0,
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dest="verbose",
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help="Increase verbosity of logging output",
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)
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parser.add_argument(
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"-q",
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"--question",
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type=str,
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required=True,
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help="The question to process",
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)
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parser.add_argument(
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"-o",
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"--output",
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type=str,
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default="search_graph.html",
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help="Output HTML file for visualization (default: search_graph.html)",
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)
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return parser.parse_args()
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def main(args):
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start_time = time.time()
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search_graph = SearchGraph(args.question)
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search_graph.process_question()
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search_graph.visualize_graph(args.output)
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end_time = time.time()
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logging.info(f"Total processing time: {end_time - start_time:.2f} seconds")
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logging.info(f"Visualization saved to: {args.output}")
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if __name__ == "__main__":
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args = parse_args()
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setup_logging(args.verbose)
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