Update settings.py

settings.py

@@ -1,34 +1,19 @@
 # settings.py
 import os
 
-# Basic settings
-SNAPSHOT_PATH = os.getenv("SNAPSHOT_PATH", "snapshot.json")
+# Snapshot settings
+SNAPSHOT_PATH = os.getenv("SNAPSHOT_PATH", "./snapshots")
 PERSIST_CONTENT = os.getenv("PERSIST_CONTENT", "false").lower() == "true"
 
-# Healthcare-specific settings
+# Healthcare settings
 HEALTHCARE_SETTINGS = {
-    "phi_detection_enabled": True,
-    "min_facility_count_for_aggregation": 10,
-    "default_occupancy_threshold": 85.0,
-    "bed_change_significance_threshold": 5.0,
-    "supported_file_types": [".csv", ".xlsx", ".xls", ".json", ".parquet", ".pdf", ".docx", ".txt"],
     "healthcare_keywords": [
-        "hospital", "patient", "bed", "care", "health", "medical", "clinical",
-        "facility", "nursing", "residential", "ambulatory", "healthcare", "occupancy",
-        "capacity", "staff", "zone", "province", "alberta", "cihi", "odhf",
-        "respiratory", "virus", "flu", "surge", "acute", "long-term", "ltc"
+        "hospital", "clinic", "patient", "doctor", "nurse", "medical",
+        "healthcare", "diagnosis", "treatment", "pharmacy", "surgery",
+        "emergency", "icu", "ward", "bed", "capacity", "occupancy"
     ],
-    # Dynamic column patterns for detection
-    "column_patterns": {
-        "facility_name": ["facility", "name", "hospital", "site", "location"],
-        "facility_type": ["type", "category", "class", "facility_type", "odhf_facility_type"],
-        "beds_current": ["current", "2023", "2024", "beds_current", "staffed_beds", "capacity"],
-        "beds_prev": ["prev", "previous", "2022", "beds_prev", "previous_beds"],
-        "zone": ["zone", "region", "area", "district"],
-        "province": ["province", "state", "territory"],
-        "city": ["city", "municipality", "town"],
-        "teaching_status": ["teaching", "status", "type", "hospital_type"]
-    }
+    "supported_file_types": [".csv", ".json", ".txt", ".xlsx", ".xls"],
+    "max_file_size_mb": 50
 }
 
 # Model settings
@@ -39,5 +24,48 @@ MODEL_SETTINGS = {
     "repetition_penalty": 1.15
 }
 
-# Debug settings
-DEBUG = os.getenv("DEBUG", "false").lower() == "true"
+# System prompts
+HEALTHCARE_SYSTEM_PROMPT = """
+You are a specialized healthcare analytics AI with expertise in:
+- Healthcare facility operations and capacity planning
+- Medical resource allocation and optimization
+- Health data analysis and trend identification
+- Healthcare policy and operational recommendations
+
+When analyzing healthcare scenarios:
+1. Always structure your response with clear sections:
+   - Executive Summary
+   - Data Analysis (with subsections)
+   - Key Findings
+   - Operational Recommendations
+   - Future Integration Opportunities
+   - Provenance
+
+2. For data analysis:
+   - Include specific metrics and calculations
+   - Provide context and interpretation
+   - Identify trends and patterns
+   - Highlight significant findings
+
+3. For recommendations:
+   - Prioritize by impact and feasibility
+   - Include implementation considerations
+   - Reference supporting data
+
+4. Maintain strict privacy standards:
+   - Aggregate data appropriately
+   - Suppress small cohorts (<10)
+   - Never infer individual data
+
+5. Use precise healthcare terminology and concepts.
+"""
+
+GENERAL_CONVERSATION_PROMPT = """
+You are a helpful AI assistant with broad knowledge. When responding:
+1. Be conversational and engaging
+2. Provide accurate, well-researched information
+3. Structure responses clearly with headings and bullet points
+4. Cite sources when possible
+5. Admit when you don't know something
+6. Maintain a professional yet approachable tone
+"""