diff options
Diffstat (limited to 'benchmark/agbenchmark/utils/dependencies/graphs.py')
| -rw-r--r-- | benchmark/agbenchmark/utils/dependencies/graphs.py | 17 |
1 files changed, 10 insertions, 7 deletions
diff --git a/benchmark/agbenchmark/utils/dependencies/graphs.py b/benchmark/agbenchmark/utils/dependencies/graphs.py index 8155e2bfd..47d3d5c09 100644 --- a/benchmark/agbenchmark/utils/dependencies/graphs.py +++ b/benchmark/agbenchmark/utils/dependencies/graphs.py @@ -1,3 +1,5 @@ +import json +import logging import math from pathlib import Path from typing import Any, Dict, List, Tuple @@ -11,6 +13,8 @@ from pyvis.network import Network from agbenchmark.generate_test import DATA_CATEGORY from agbenchmark.utils.utils import write_pretty_json +logger = logging.getLogger(__name__) + def bezier_curve( src: np.ndarray, ctrl: List[float], dst: np.ndarray @@ -221,8 +225,8 @@ def graph_interactive_network( f"{source_id_str}_to_{target_id_str}" # Construct a unique edge id ) if not (source_id_str in nt.get_nodes() and target_id_str in nt.get_nodes()): - print( - f"Skipping edge {source_id_str} -> {target_id_str} due to missing nodes." + logger.warning( + f"Skipping edge {source_id_str} -> {target_id_str} due to missing nodes" ) continue nt.add_edge(source_id_str, target_id_str, id=edge_id_str) @@ -271,9 +275,12 @@ def graph_interactive_network( "layout": {"hierarchical": hierarchical_options}, } - # Serialize the graph to JSON + # Serialize the graph to JSON and save in appropriate locations graph_data = {"nodes": nt.nodes, "edges": nt.edges} + logger.debug(f"Generated graph data:\n{json.dumps(graph_data, indent=4)}") + # FIXME: use more reliable method to find the right location for these files. + # This will fail in all cases except if run from the root of our repo. home_path = Path.cwd() write_pretty_json(graph_data, home_path / "frontend" / "public" / "graph.json") @@ -284,7 +291,6 @@ def graph_interactive_network( # this literally only works in the AutoGPT repo, but this part of the code is not reached if BUILD_SKILL_TREE is false write_pretty_json(graph_data, flutter_app_path / "tree_structure.json") validate_skill_tree(graph_data, "") - import json # Extract node IDs with category "coding" @@ -317,9 +323,6 @@ def graph_interactive_network( scrape_synthesize_tree, flutter_app_path / "scrape_synthesize_tree_structure.json", ) - # If you want to convert back to JSON - filtered_json = json.dumps(graph_data, indent=4) - print(filtered_json) if html_graph_path: file_path = str(Path(html_graph_path).resolve()) |