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修复interactive viewer中的metadata配置和列名问题

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1. 在metadata中添加database.load配置，确保前端能正确加载数据到DuckDB
2. 将neighbors列名从'neighbors'改为'__neighbors'以符合embedding-atlas标准
3. 更新launch_interactive_viewer和visualize_csv_comparison函数中的相关配置
This commit is contained in:
lingyuzeng
2025-10-23 18:00:10 +08:00
parent bbf1746046
commit 991bcc491f
1 changed files with 13 additions and 9 deletions
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22
src/visualization/comparison.py
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@@ -20,13 +20,17 @@ def launch_interactive_viewer(df: pd.DataFrame, text_column: str, port: int = 50
from embedding_atlas.utils import Hasher
import pathlib
# 创建metadata
# 创建metadata - 添加database配置
metadata = {
"columns": {
"id": "_row_index",
"text": text_column,
"embedding": {"x": "projection_x", "y": "projection_y"},
"neighbors": "neighbors"
"neighbors": "__neighbors" # 使用双下划线
},
"database": {
"type": "wasm",
"load": True # 关键: 告诉前端加载数据
}
}
@@ -109,7 +113,7 @@ def create_embedding_service(
text=text_column,
x="projection_x",
y="projection_y",
neighbors="neighbors",
neighbors="__neighbors", # 改为双下划线
model=model,
batch_size=batch_size,
umap_args=umap_args
@@ -234,7 +238,7 @@ def visualize_csv_comparison(
text=text_column,
x="projection_x",
y="projection_y",
neighbors="neighbors",
neighbors="__neighbors", # 改为双下划线
model=model,
batch_size=batch_size,
umap_args=umap_args
@@ -298,11 +302,11 @@ def main():
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
python visualize_csv_comparison.py file1.csv file2.csv
python visualize_csv_comparison.py file1.csv file2.csv --column1 smiles --column2 SMILES
python visualize_csv_comparison.py file1.csv file2.csv --label1 "Dataset A" --label2 "Dataset B"
python visualize_csv_comparison.py file1.csv file2.csv --output comparison.png
python visualize_csv_comparison.py file1.csv file2.csv --interactive --port 8080
python -m visualization.comparison file1.csv file2.csv
python -m visualization.comparison file1.csv file2.csv --column1 smiles --column2 SMILES
python -m visualization.comparison file1.csv file2.csv --label1 "Dataset A" --label2 "Dataset B"
python -m visualization.comparison file1.csv file2.csv --output comparison.png
python -m visualization.comparison file1.csv file2.csv --interactive --port 8080
"""
)