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refactor(pipeline): step8 输出文件命名统一为 training_spectra_indices.csv，produces 增加 trad_indices_dir

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DXC
2026-06-09 13:18:15 +08:00
parent 593719e7d0
commit 47cbb4a013
2 changed files with 4 additions and 4 deletions
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6
src/core/pipeline/runner.py
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@ -116,10 +116,10 @@ PIPELINE_STEPS: List[StepSpec] = [
), ),
StepSpec( StepSpec(
step_id="step8", method_name="step8_water_quality_indices", step_id="step8", method_name="step8_water_quality_indices",
requires=["training_csv_path"], produces=["indices_path"], requires=["training_csv_path"], produces=["indices_path", "trad_indices_dir"],
required_input_files=["training_csv_path"], required_input_files=["training_csv_path"],
output_file="{work_dir}/6_water_quality_indices/water_quality_indices.csv", output_file="{work_dir}/6_water_quality_indices/training_spectra_indices.csv",
description="水质光谱指数计算（optional）", description="水质光谱指数计算（双轨输出：A轨宽表 + B轨单文件）",
), ),
StepSpec( StepSpec(
step_id="step7", method_name="step7_ml_modeling", step_id="step7", method_name="step7_ml_modeling",

2
src/core/steps/data_preparation_step.py
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@ -161,7 +161,7 @@ class DataPreparationStep:
if output_file: if output_file:
output_path = str(Path(output_file)) output_path = str(Path(output_file))
else: else:
output_path = str(output_dir / "water_quality_indices.csv") output_path = str(output_dir / "training_spectra_indices.csv")
if Path(output_path).exists(): if Path(output_path).exists():
print(f"检测到已存在的水质指数文件，直接使用: {output_path}") print(f"检测到已存在的水质指数文件，直接使用: {output_path}")