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making node colors static across clusters #530

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making node colors static across clusters #530

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873b8dd
making node colors static across clusters
joker2411 Dec 11, 2024
e1c9a95
de-duplication of ids
joker2411 Dec 12, 2024
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12 changes: 8 additions & 4 deletions src/predictions/profiles_mlcorelib/py_native/id_stitcher/cluster_report.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,6 +52,7 @@ def __init__(
self.counter = 0
self.logger = logger
self.color_map = {}
self.cluster_specific_id_types = None
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def get_edges_data(self, node_id: str) -> pd.DataFrame:
cluster_query_template = """
Expand Down Expand Up @@ -317,10 +318,6 @@ def _visualize_large_graph(self, G: nx.Graph, file_path: str):
def _pre_compute_graph_info(self, G: nx.Graph):
degrees = dict(G.degree())
max_degree = max(degrees.values()) if degrees else 0
id_types = set(nx.get_node_attributes(G, "id_type").values())

if not self.color_map:
self.color_map = self._generate_color_map(id_types)
return degrees, max_degree

def _initialise_network(self):
Expand All @@ -345,6 +342,7 @@ def _add_legend_to_file(self, file_path):
</div>
"""
for id_type, color in self.color_map.items()
if id_type in self.cluster_specific_id_types
]

legend_html = f"""
Expand Down Expand Up @@ -382,6 +380,9 @@ def run(self):
"You can explore specific clusters by entering an ID to see how the other ids are all connected and the cluster is formed."
)
print("The ID can be either the main ID or any other ID type.")
self.color_map = self._generate_color_map(
self.table_report.analysis_results["node_types"]
)
output_dir = os.path.join(os.getcwd(), "graph_outputs")
while True:
user_input = self.reader.get_input(
Expand All @@ -392,6 +393,9 @@ def run(self):
break
print("\n\n")
metrics, G = self._analyse_cluster(user_input)
self.cluster_specific_id_types = set(
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nx.get_node_attributes(G, "id_type").values()
)
if metrics is None:
continue
cluster_summary = self.get_cluster_summary(metrics)
Expand Down
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