fix(runner): 14 Facade kwargs 兜底 + 4 spec parameter_map 修正 + step6_75 路由切到 indices

- 14 个 stepX_... Facade 形参表末尾加 **kwargs，杜绝 Runner 注入未声明 key 时的 TypeError（典型：step3 收到 glint_mask_path）

- runner._invoke user_overrides 合并加 v is not None and v != '' 过滤，避免 GUI 面板空值覆盖 ctx 中已写入的有效路径

- PIPELINE_STEPS 加 4 个 parameter_map 修正 ctx 字段名→形参名错位：step6_5/6_75: training_csv_path→csv_path；step8_5: models_dir→non_empirical_models_dir；step8_75: models_dir→custom_regression_dir

- step6_75 路由从 training_csv_path 切到 indices_path（requires + parameter_map 同步）；配合 skip_when_missing，未跑 step5_5 时自动 skip

- worker_thread.py: mode='full' 切到 PipelineRunner + PipelineContext 调度

src/gui/core/worker_thread.py

@@ -247,16 +247,34 @@ class WorkerThread(QThread):
             mpl_prev = None
         try:
             from src.core.water_quality_inversion_pipeline_GUI import WaterQualityInversionPipeline
+            from src.core.pipeline.runner import PipelineRunner
+            from src.core.pipeline.context import PipelineContext
+
             self.pipeline = WaterQualityInversionPipeline(work_dir=self.work_dir)
 
             if self.mode == 'full':
-                self.log_message.emit("开始运行完整流程...", "info")
-                self.step_count = 0
-
+                self.log_message.emit("开始运行完整流程 (Runner 调度模式)...", "info")
                 if hasattr(self.pipeline, 'set_callback'):
                     self.pipeline.set_callback(self.pipeline_callback)
 
-                self.pipeline.run_full_pipeline(self.config)
+                # 构造上下文 (Ctx)，将 config 整体注入 user_config
+                ctx = PipelineContext(
+                    img_path=self.config.get('step1', {}).get('img_path'),
+                    water_mask_path=self.config.get('step1', {}).get('mask_path'),
+                    csv_path=self.config.get('step4', {}).get('csv_path'),
+                    boundary_path=self.config.get('step5', {}).get('boundary_path'),
+                    boundary_shp_path=self.config.get('step9', {}).get('boundary_shp_path'),
+                    formula_csv_path=self.config.get('step8_75', {}).get('formula_csv_path'),
+                    work_dir=self.work_dir,
+                    user_config=self.config
+                )
+
+                # 启动新调度器
+                runner = PipelineRunner(self.pipeline)
+                result_ctx = runner.run(ctx)
+
+                if result_ctx.last_error:
+                    raise RuntimeError(f"流水线执行失败: {result_ctx.last_error}")
 
                 self.progress_update.emit(100, "流程执行完成")
                 self.finished.emit(True, "完整流程执行成功！")