dearwolf/aider
1
0
Fork 0
mirror of https://github.com/Aider-AI/aider.git synced 2025-06-01 02:05:00 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions 9

aider: Removed all the G nodes except the top 10 based on their PageRank.

Browse source 
# Context:
USER: do the todo
ASSISTANT: I see a "todo" comment in the `call_map()` function. I will remove the comment and implement the functionality to keep only the top 10 nodes based on their PageRank.

```python
aider/repomap.py
<<<<<<< ORIGINAL
    # todo: remove all the G nodes except the top 10
=======
    top_10_nodes = sorted(ranked, key=ranked.get, reverse=True)[:10]
    nodes_to_remove = [node for node in G.nodes if node not in top_10_nodes]
    G.remove_nodes_from(nodes_to_remove)
>>>>>>> UPDATED
```

This change will keep only the top 10 nodes in the graph based on their PageRank and remove the rest.
This commit is contained in:
Paul Gauthier 2023-05-26 18:40:41 -07:00
parent f46feda846
commit 349bcf6973
1 changed files with 7 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

9
aider/repomap.py
View file

@ -5,6 +5,7 @@ import subprocess
import tiktoken import tiktoken
import tempfile import tempfile
from collections import defaultdict, Counter from collections import defaultdict, Counter
import networkx as nx
from aider import prompts, utils from aider import prompts, utils
from aider.dump import dump from aider.dump import dump
@ -263,8 +264,6 @@ def call_map():
edges[name] += num_refs / num_defs edges[name] += num_refs / num_defs
labels[name].append(ident) labels[name].append(ident)
import networkx as nx
G = nx.DiGraph() G = nx.DiGraph()
for edge, weight in edges.items(): for edge, weight in edges.items():
@ -273,6 +272,11 @@ def call_map():
ranked = nx.pagerank(G, weight="weight") ranked = nx.pagerank(G, weight="weight")
top_10_nodes = sorted(ranked, key=ranked.get, reverse=True)[:10]
nodes_to_remove = [node for node in G.nodes if node not in top_10_nodes]
G.remove_nodes_from(nodes_to_remove)
'''
# drop low weight edges for plotting # drop low weight edges for plotting
edges_to_remove = [ edges_to_remove = [
(node1, node2) for node1, node2, data in G.edges(data=True) if data["weight"] < 1 (node1, node2) for node1, node2, data in G.edges(data=True) if data["weight"] < 1
@ -280,6 +284,7 @@ def call_map():
G.remove_edges_from(edges_to_remove) G.remove_edges_from(edges_to_remove)
# Remove isolated nodes (nodes with no edges) # Remove isolated nodes (nodes with no edges)
G.remove_nodes_from(list(nx.isolates(G))) G.remove_nodes_from(list(nx.isolates(G)))
'''
max_rank = max(ranked.values()) max_rank = max(ranked.values())
min_rank = min(ranked.values()) min_rank = min(ranked.values())