Update app.py

app.py

@@ -9,25 +9,57 @@ from chartdiagnosischecker import ChartDiagnosisChecker
 from MeatValidatorAgent import MEATValidatorAgent
 from dotenv import load_dotenv
 
-APP_TITLE = "Risk Adjustment (HCC Chart Validation)"
-CSV_PATH = "hcc_mapping.csv"
-# Define the path to the static PDF file.
-STATIC_PDF_PATH = "static/sample_patient_chart.pdf"
+# app.py
 
+import os
+import gradio as gr
+import json
 
-# ---------- Helper: JSON → Markdown (Unchanged) ----------
-def json_to_markdown(meat_results) -> str:
-    if not meat_results:
-        return "<div style='color:orange; font-weight:bold;'>⚠️ No results found.</div>"
+# from HCCDiagnosisListEngine import HCCDiagnosisListEngine
+# from chartdiagnosischecker import ChartDiagnosisChecker
+# from MeatValidatorAgent import MEATValidatorAgent
+from dotenv import load_dotenv
+load_dotenv()
+
+# ==============================================================================
+# MOCK CLASSES FOR DEMONSTRATION (as original files were not provided)
+# NOTE: Replace these with your actual class imports.
+# ==============================================================================
+class HCCDiagnosisListEngine:
+    def __init__(self, hcc_code, model_version, csv_path):
+        self.hcc_code = hcc_code
+    def run(self):
+        print(f"Engine running for HCC: {self.hcc_code}")
+        return [
+            {'diagnosis': 'Type 2 diabetes mellitus with diabetic nephropathy', 'icd10': 'E11.22'},
+            {'diagnosis': 'Chronic kidney disease, stage 3', 'icd10': 'N18.3'}
+        ]
+
+class ChartDiagnosisChecker:
+    def __init__(self, pdf_path):
+        self.pdf_path = pdf_path
+    def run(self, diagnoses):
+        print(f"Checker running for PDF: {self.pdf_path}")
+        checked_diagnoses = diagnoses
+        for i, diag in enumerate(checked_diagnoses):
+            diag['answer'] = 'yes' if i == 0 else 'no'
+            diag['reference'] = f"Page {i+1}, line {i*3}"
+            diag['rationale'] = f"The patient record on page {i+1} explicitly mentions this condition."
+        return checked_diagnoses
+
+class MEATValidatorAgent:
+    def run(self, checked_diagnoses):
+        print("MEAT Validator running...")
+        positive_diagnoses = [d for d in checked_diagnoses if d.get("answer", "").lower() == "yes"]
+        for diag in positive_diagnoses:
+            diag['clinical_status'] = 'Chronic, Stable'
+            diag['meat'] = {'monitor': True, 'evaluate': True, 'assess': False, 'treat': True}
+            diag['meat_rationale'] = "Patient's condition is being monitored with regular blood tests (Monitor), evaluated for progression (Evaluate), and treated with Metformin (Treat)."
+        return positive_diagnoses
+# ==============================================================================
 
-    md = "<div style='border:2px solid #1e40af; border-radius:12px; padding:15px; background-color:#f0f9ff;'>"
-    md += "<h2 style='color:#1e40af;'>🩺 HCC Chart Validation Report</h2>"
 
-    for entry in meat_results:
-        md += f"<h3 style='color:#1d4ed8;'>📌 {entry['diagnosis']} ({entry['icd10']})</h3>"
-        md += f"<p><b>Reference:</b> {entry.get('reference', 'N/A')}<br>"
-        md += f"<b>Answer:</b> {entry.get('answer', 'unknown').upper()}<br>"
-        md += f"<b>RationAPP_TITLE = "Risk Adjustment (HCC Chart Validation)"
+APP_TITLE = "Risk Adjustment (HCC Chart Validation)"
 CSV_PATH = "hcc_mapping.csv"
 SAMPLE_PDF = "sample_patient_chart.pdf"
 
@@ -200,271 +232,3 @@ with gr.Blocks(theme=simple_theme, title=APP_TITLE) as interface:
 
 if __name__ == "__main__":
     interface.queue().launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))
-
-
-# import os
-# import gradio as gr
-# import json
-
-# from HCCDiagnosisListEngine import HCCDiagnosisListEngine
-# from chartdiagnosischecker import ChartDiagnosisChecker
-# from MeatValidatorAgent import MEATValidatorAgent
-
-# APP_TITLE = "Risk Adjustment (HCC Chart Validation)"
-# CSV_PATH = "hcc_mapping.csv"
-# SAMPLE_PDF = "sample_patient_chart.pdf"  # Place a sample PDF in the same folder
-
-
-# # ---------- Helper: JSON → Markdown ----------
-# def json_to_markdown(meat_results: list[dict]) -> str:
-#     if not meat_results:
-#         return "<div style='color:orange; font-weight:bold;'>⚠️ No results found.</div>"
-
-#     md = "<div style='border:2px solid #1e40af; border-radius:12px; padding:15px; background-color:#f0f9ff;'>"
-#     md += "<h2 style='color:#1e40af;'>🩺 HCC Chart Validation Report</h2>"
-
-#     for entry in meat_results:
-#         md += f"<h3 style='color:#1d4ed8;'>📌 {entry['diagnosis']} ({entry['icd10']})</h3>"
-#         md += f"<p><b>Reference:</b> {entry.get('reference', 'N/A')}<br>"
-#         md += f"<b>Answer:</b> {entry.get('answer', 'unknown').upper()}<br>"
-#         md += f"<b>Rationale:</b> {entry.get('rationale', '')}<br>"
-#         md += f"<b>Clinical Status:</b> {entry.get('clinical_status', 'N/A')}</p>"
-#         md += "<b>MEAT Criteria:</b><ul>"
-#         meat = entry.get("meat", {})
-#         md += f"<li>Monitor: {'✅' if meat.get('monitor') else '❌'}</li>"
-#         md += f"<li>Evaluate: {'✅' if meat.get('evaluate') else '❌'}</li>"
-#         md += f"<li>Assess: {'✅' if meat.get('assess') else '❌'}</li>"
-#         md += f"<li>Treat: {'✅' if meat.get('treat') else '❌'}</li>"
-#         md += "</ul>"
-#         md += f"<b>MEAT Rationale:</b> {entry.get('meat_rationale', '')}<br><br>"
-#     md += "</div>"
-#     return md
-
-
-# # ---------- Pipeline ----------
-# def process_pipeline(pdf_file, hcc_code, model_version, csv_path=CSV_PATH):
-#     try:
-#         if pdf_file is None:
-#             return "<div style='color:orange; font-weight:bold;'>⚠️ Please upload a patient chart PDF.</div>"
-
-#         if not hcc_code or str(hcc_code).strip() == "":
-#             return "<div style='color:orange; font-weight:bold;'>⚠️ Please enter a valid HCC Code before running validation.</div>"
-
-#         pdf_path = pdf_file.name
-#         patient_name = os.path.splitext(os.path.basename(pdf_path))[0]
-#         print(f"\n[PROCESSING] {patient_name}")
-
-#         # Step 1: HCC Diagnoses
-#         diag_engine = HCCDiagnosisListEngine(hcc_code, model_version, csv_path)
-#         diagnoses = diag_engine.run()
-
-#         # Step 2: Chart Checking
-#         checker = ChartDiagnosisChecker(pdf_path)
-#         checked = checker.run(diagnoses)
-
-#         # ✅ Only proceed if at least one "yes"
-#         has_positive = any(entry.get("answer", "").lower() == "yes" for entry in checked)
-#         if not has_positive:
-#             return f"<b>❌ Not found diagnosis in the chart related to HCC code {hcc_code}.</b>"
-
-#         # Step 3: MEAT Validation
-#         meat_validator = MEATValidatorAgent()
-#         meat_results = meat_validator.run(checked)
-
-#         return json_to_markdown(meat_results)
-
-#     except Exception as e:
-#         print(f"[ERROR] {e}")
-#         return f"<div style='color:red; font-weight:bold;'>⚠️ Error during processing: {e}</div>"
-
-
-# # ---------- Gradio Theme ----------
-# simple_theme = gr.themes.Soft(
-#     primary_hue=gr.themes.colors.blue,
-#     secondary_hue=gr.themes.colors.slate,
-#     neutral_hue=gr.themes.colors.slate,
-# ).set(
-#     button_primary_background_fill="#1e40af",
-#     button_primary_background_fill_hover="#1d4ed8",
-#     button_primary_text_color="white",
-#     background_fill_primary="white",
-#     background_fill_secondary="#f8fafc",
-# )
-
-
-# # ---------- Gradio UI ----------
-# with gr.Blocks(theme=simple_theme, title=APP_TITLE) as interface:
-#     gr.HTML(f"""
-#         <h1 style='text-align:center;color:#1e40af;'> 🏩 {APP_TITLE}</h1>
-#         <p style='text-align:center;color:#64748b;'>
-#             Upload a chart, set HCC + model version, and validate MEAT criteria.
-#         </p>
-#     """)
-
-#     with gr.Row():
-#         with gr.Column(scale=1):
-#             pdf_upload = gr.File(label="Upload Patient Chart (PDF)", file_types=[".pdf"])
-#             hcc_code = gr.Textbox(label="HCC Code (e.g., 12)", placeholder="Enter HCC code")
-#             model_version = gr.Dropdown(choices=["V24", "V28"], label="Model Version", value="V24")
-#             run_btn = gr.Button("🚀 Run Validation", variant="primary")
-#             sample_btn = gr.Button("📄 Use Sample PDF", variant="secondary")
-
-#         with gr.Column(scale=2):
-#             output_md = gr.Markdown(
-#                 label="Validation Report",
-#                 value="<div style='border:2px solid #1e40af; border-radius:12px; padding:15px; background-color:#f0f9ff;'>📄 Upload a PDF and click <b>Run Validation</b> to start.</div>",
-#             )
-
-#     # ---------- Button Events ----------
-#     sample_btn.click(
-#         fn=lambda: gr.File.update(value=SAMPLE_PDF),
-#         inputs=[],
-#         outputs=[pdf_upload],
-#     )
-
-#     run_btn.click(
-#         fn=process_pipeline,
-#         inputs=[pdf_upload, hcc_code, model_version],
-#         outputs=[output_md],
-#     )
-
-
-# if __name__ == "__main__":
-#     interface.queue().launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))
-
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-#### old
-# import os
-# import gradio as gr
-# import json
-
-# from HCCDiagnosisListEngine import HCCDiagnosisListEngine
-# from chartdiagnosischecker import ChartDiagnosisChecker
-# from MeatValidatorAgent import MEATValidatorAgent
-
-# APP_TITLE = "Risk Adjustment (HCC Chart Validation)"
-# CSV_PATH = "hcc_mapping.csv"
-
-# # ---------- Helper: JSON → Markdown ----------
-# def json_to_markdown(meat_results: list[dict]) -> str:
-#     if not meat_results:
-#         return "⚠️ **No results found.**"
-
-#     md = "## 🏥 HCC Chart Validation Report\n\n"
-
-#     for entry in meat_results:
-#         md += f"### 📌 {entry['diagnosis']} ({entry['icd10']})\n"
-#         md += f"- **Reference:** {entry.get('reference', 'N/A')}\n"
-#         md += f"- **Answer:** {entry.get('answer', 'unknown').upper()}\n"
-#         md += f"- **Rationale:** {entry.get('rationale', '')}\n"
-#         md += f"- **Clinical Status:** {entry.get('clinical_status', 'N/A')}\n"
-#         md += f"- **MEAT Criteria:**\n"
-#         meat = entry.get("meat", {})
-#         if meat:
-#             md += "  - Monitor: ✅\n" if meat.get("monitor") else "  - Monitor: ❌\n"
-#             md += "  - Evaluate: ✅\n" if meat.get("evaluate") else "  - Evaluate: ❌\n"
-#             md += "  - Assess: ✅\n" if meat.get("assess") else "  - Assess: ❌\n"
-#             md += "  - Treat: ✅\n" if meat.get("treat") else "  - Treat: ❌\n"
-#         md += f"- **MEAT Rationale:** {entry.get('meat_rationale', '')}\n\n"
-#     return md.strip()
-
-
-
-# # ---------- Pipeline ----------
-# def process_pipeline(pdf_file, hcc_code, model_version, csv_path=CSV_PATH):
-#     try:
-#         if pdf_file is None:
-#             return "⚠️ Please upload a patient chart PDF."
-
-#         if not hcc_code or str(hcc_code).strip() == "":
-#             return "⚠️ Please enter a valid HCC Code before running validation."
-
-#         pdf_path = pdf_file.name
-#         patient_name = os.path.splitext(os.path.basename(pdf_path))[0]
-#         print(f"\n[PROCESSING] {patient_name}")
-
-     
-
-#         # Step 1: HCC Diagnoses
-#         diag_engine = HCCDiagnosisListEngine(hcc_code, model_version, csv_path)
-#         diagnoses = diag_engine.run()
-
-#         # Step 2: Chart Checking
-#         checker = ChartDiagnosisChecker(pdf_path)
-#         checked = checker.run(diagnoses)
-
-#         # ✅ New condition: only proceed if at least one "yes"
-#         has_positive = any(entry.get("answer", "").lower() == "yes" for entry in checked)
-#         if not has_positive:
-#             return f"**❌ Not found diagnosis in the chart related to HCC code {hcc_code}.**"
-
-#         # Step 3: MEAT Validation
-#         meat_validator = MEATValidatorAgent()
-#         meat_results = meat_validator.run(checked)
-
-#         return json_to_markdown(meat_results)
-
-#     except Exception as e:
-#         print(f"[ERROR] {e}")
-#         return f"⚠️ Error during processing: {e}"
-
-
-
-
-# # ---------- Gradio Theme ----------
-# simple_theme = gr.themes.Soft(
-#     primary_hue=gr.themes.colors.blue,
-#     secondary_hue=gr.themes.colors.slate,
-#     neutral_hue=gr.themes.colors.slate,
-# ).set(
-#     button_primary_background_fill="#1e40af",
-#     button_primary_background_fill_hover="#1d4ed8",
-#     button_primary_text_color="white",
-#     background_fill_primary="white",
-#     background_fill_secondary="#f8fafc",
-# )
-
-
-# # ---------- Gradio UI ----------
-# with gr.Blocks(theme=simple_theme, title=APP_TITLE) as interface:
-#     gr.HTML(f"<h1 style='text-align:center;color:#1e40af;'>🏥 {APP_TITLE}</h1>")
-#     gr.HTML("<p style='text-align:center;color:#64748b;'>Upload a chart, set HCC + model version, and validate MEAT criteria.</p>")
-
-#     with gr.Row():
-#         with gr.Column(scale=1):
-#             pdf_upload = gr.File(label="Upload Patient Chart (PDF)", file_types=[".pdf"])
-#             hcc_code = gr.Textbox(label="HCC Code (e.g., 12)", placeholder="Enter HCC code")
-#             model_version = gr.Dropdown(choices=["V24", "V28"], label="Model Version", value="V24")
-#             run_btn = gr.Button("🚀 Run Validation", variant="primary")
-
-#         with gr.Column(scale=2):
-#             output_md = gr.Markdown(
-#                 label="Validation Report",
-#                 value="📄 Upload a PDF and click **Run Validation** to start.",
-#             )
-
-#     run_btn.click(
-#         fn=process_pipeline,
-#         inputs=[pdf_upload, hcc_code, model_version],
-#         outputs=[output_md],
-#     )
-
-
-# if __name__ == "__main__":
-#     interface.queue().launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))