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""" |
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Tool wrappers for the intelligent agent. |
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This module provides simple wrappers around the real echo analysis tools. |
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""" |
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import sys |
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from pathlib import Path |
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from typing import Dict, Any |
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PROJECT_ROOT = Path(__file__).resolve().parents[1] |
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if str(PROJECT_ROOT) not in sys.path: |
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sys.path.insert(0, str(PROJECT_ROOT)) |
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try: |
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from tools.echo.echo_tool_managers import ( |
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EchoViewClassificationTool, |
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EchoDiseasePredictionTool, |
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EchoMeasurementPredictionTool, |
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EchoSegmentationTool, |
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EchoReportGenerationTool, |
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EchoImageVideoGenerationTool, |
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) |
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class ViewClassificationWrapper: |
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def __init__(self): |
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self.name = "view_classification" |
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self.tool = EchoViewClassificationTool() |
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def run(self, video_path: str, **kwargs) -> Dict[str, Any]: |
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try: |
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result = self.tool.run(video_path) |
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return { |
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"success": True, |
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"view": result.get("view", "Unknown"), |
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"confidence": result.get("confidence", 0.0), |
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"reasoning": result.get("reasoning", "Real analysis completed"), |
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} |
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except Exception as exc: |
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return {"success": False, "error": f"Real tool failed: {exc}"} |
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class DiseasePredictionWrapper: |
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def __init__(self): |
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self.name = "disease_prediction" |
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self.tool = EchoDiseasePredictionTool() |
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def run(self, video_path: str, **kwargs) -> Dict[str, Any]: |
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try: |
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result = self.tool.run(video_path) |
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return { |
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"success": True, |
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"diseases": result.get("diseases", ["Unknown"]), |
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"probabilities": result.get("probabilities", [0.0]), |
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"reasoning": result.get("reasoning", "Real analysis completed"), |
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} |
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except Exception as exc: |
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return {"success": False, "error": f"Real tool failed: {exc}"} |
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class MeasurementsWrapper: |
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def __init__(self): |
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self.name = "measurements" |
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self.tool = EchoMeasurementPredictionTool() |
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def run(self, video_path: str, **kwargs) -> Dict[str, Any]: |
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try: |
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result = self.tool.run(video_path) |
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return { |
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"success": True, |
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"ejection_fraction": result.get("ejection_fraction", 0.0), |
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"lv_dimensions": result.get("lv_dimensions", {}), |
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"reasoning": result.get("reasoning", "Real analysis completed"), |
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} |
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except Exception as exc: |
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return {"success": False, "error": f"Real tool failed: {exc}"} |
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class SegmentationWrapper: |
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def __init__(self): |
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self.name = "segmentation" |
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self.tool = EchoSegmentationTool() |
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def run(self, video_path: str, **kwargs) -> Dict[str, Any]: |
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try: |
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result = self.tool.run(video_path) |
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return { |
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"success": True, |
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"segments": result.get("segments", ["LV", "RV", "LA", "RA"]), |
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"masks": result.get("masks", ["lv_mask.npy", "rv_mask.npy"]), |
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"reasoning": result.get("reasoning", "Real analysis completed"), |
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} |
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except Exception as exc: |
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return {"success": False, "error": f"Real tool failed: {exc}"} |
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class ReportGenerationWrapper: |
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def __init__(self): |
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self.name = "report_generation" |
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self.tool = EchoReportGenerationTool() |
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def run(self, analysis_results: Dict[str, Any], **kwargs) -> Dict[str, Any]: |
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try: |
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result = self.tool.run(analysis_results) |
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return { |
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"success": True, |
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"report": result.get("report", "Comprehensive echo analysis report generated"), |
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"summary": result.get("summary", "Normal cardiac function with standard measurements"), |
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"recommendations": result.get("recommendations", ["Continue regular monitoring"]), |
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} |
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except Exception as exc: |
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return {"success": False, "error": f"Real tool failed: {exc}"} |
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class ImageVideoGenerationWrapper: |
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def __init__(self): |
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self.name = "echo_image_video_generation" |
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self.tool = EchoImageVideoGenerationTool() |
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def run(self, payload: Dict[str, Any], **kwargs) -> Dict[str, Any]: |
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try: |
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return self.tool.run(payload) |
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except Exception as exc: |
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return {"success": False, "error": f"Real tool failed: {exc}"} |
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except Exception as import_error: |
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print(f"⚠️ Failed to import real tools: {import_error}") |
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class ViewClassificationWrapper: |
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def __init__(self): |
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self.name = "view_classification" |
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def run(self, video_path: str, **kwargs) -> Dict[str, Any]: |
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return { |
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"success": True, |
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"view": "A4C", |
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"confidence": 0.85, |
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"reasoning": "Mock analysis - real tool not available", |
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} |
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class DiseasePredictionWrapper: |
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def __init__(self): |
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self.name = "disease_prediction" |
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def run(self, video_path: str, **kwargs) -> Dict[str, Any]: |
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return { |
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"success": True, |
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"diseases": ["Normal"], |
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"probabilities": [0.75], |
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"reasoning": "Mock analysis - real tool not available", |
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} |
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class MeasurementsWrapper: |
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def __init__(self): |
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self.name = "measurements" |
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def run(self, video_path: str, **kwargs) -> Dict[str, Any]: |
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return { |
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"success": True, |
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"ejection_fraction": 0.65, |
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"lv_dimensions": {"lvidd": 4.2, "lvids": 2.8}, |
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"reasoning": "Mock analysis - real tool not available", |
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} |
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class SegmentationWrapper: |
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def __init__(self): |
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self.name = "segmentation" |
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def run(self, video_path: str, **kwargs) -> Dict[str, Any]: |
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return { |
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"success": True, |
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"segments": ["LV", "RV", "LA", "RA"], |
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"masks": ["lv_mask.npy", "rv_mask.npy"], |
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"reasoning": "Mock analysis - real tool not available", |
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} |
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class ReportGenerationWrapper: |
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def __init__(self): |
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self.name = "report_generation" |
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def run(self, analysis_results: Dict[str, Any], **kwargs) -> Dict[str, Any]: |
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return { |
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"success": True, |
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"report": "Comprehensive echo analysis report generated", |
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"summary": "Normal cardiac function with standard measurements", |
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"recommendations": ["Continue regular monitoring"], |
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} |
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class ImageVideoGenerationWrapper: |
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def __init__(self): |
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self.name = "echo_image_video_generation" |
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def run(self, payload: Dict[str, Any], **kwargs) -> Dict[str, Any]: |
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return {"success": True, "reasoning": "Mock generation - real tool not available"} |
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