fix: use dynamic .env path resolution

agents/orchestrator.py

@@ -11,6 +11,7 @@
 import logging
 import os
 import sqlite3
+from pathlib import Path
 from typing import TypedDict
 from dotenv import load_dotenv
 
@@ -286,7 +287,7 @@ def run_pipeline(
     - clinical_note: radiologist context improves report quality
     - hil: always True in production
     """
-    load_dotenv("/home/moez/projects/radiology-ai/.env")
+    load_dotenv(Path(__file__).resolve().parent.parent / ".env")
     os.makedirs("data", exist_ok=True)
 
     thread_id = thread_id or anonymized_id
@@ -336,7 +337,7 @@ def resume_pipeline(
     approved: bool = True,
 ) -> PipelineState:
     """Resume after radiologist review."""
-    load_dotenv("/home/moez/projects/radiology-ai/.env")
+    load_dotenv(Path(__file__).resolve().parent.parent / ".env")
 
     conn = sqlite3.connect(DB_PATH, check_same_thread=False)
     checkpointer = SqliteSaver(conn)

api/models/database.py

@@ -1,9 +1,10 @@
 import os
+from pathlib import Path
 from sqlalchemy import create_engine
 from sqlalchemy.orm import sessionmaker, declarative_base
 from dotenv import load_dotenv
 
-load_dotenv("/home/moez/projects/radiology-ai/.env")
+load_dotenv(Path(__file__).resolve().parents[2] / ".env")
 
 DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///./data/radiology.db")
 

mcp_server/radiology_mcp.py

@@ -28,7 +28,7 @@
 
 from dotenv import load_dotenv
 
-load_dotenv("/home/moez/projects/radiology-ai/.env")
+load_dotenv(os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), ".env"))
 
 from mcp.server import Server  # noqa: E402
 from mcp.server.stdio import stdio_server  # noqa: E402

mlops/ingest_medical_knowledge.py

@@ -10,9 +10,10 @@
 import logging
 import os
 import hashlib
+from pathlib import Path
 from dotenv import load_dotenv
 
-load_dotenv("/home/moez/projects/radiology-ai/.env")
+load_dotenv(Path(__file__).resolve().parent.parent / ".env")
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 

ui/app.py

@@ -6,11 +6,12 @@
 
 import logging
 import os
+from pathlib import Path
 import gradio as gr
 from dotenv import load_dotenv
 from PIL import Image
 
-load_dotenv("/home/moez/projects/radiology-ai/.env")
+load_dotenv(Path(__file__).resolve().parent.parent / ".env")
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)