Create prompt_templates.py

prompt_templates.py

@@ -0,0 +1,31 @@
+# prompt_templates.py
+import json
+from typing import Dict
+
+DECISION_FRAME = """FRAME:
+- SAFETY/RISK: crowding proxy; p95 boarding time; # critical waits; isolation/telemetry constraints.
+- CAPACITY: staffed beds now; free beds; unit occupancy & imbalance; EVS/transport turnaround.
+- DISCHARGES: # ready now; # by noon; barriers (AH, placement, Rx, paperwork).
+- ADMISSIONS: ED admits waiting (by service/needs); forecast next 6–24h; elective admits deferrable.
+- STAFFING: RN/RT/Allied gaps; redeploy/OT/agency options.
+- MATH: beds needed now to clear ED; additional buffer for next 12h; target occupancy.
+- DECISION: ranked actions with owner, ETA, expected beds, and risks.
+"""
+
+def build_system_preamble(snapshot: Dict, policy_context: str, computed_numbers: Dict) -> str:
+    return f"""
+You are ClarityOps, a hospital flow decision co-pilot.
+Use the snapshot JSON, computed numbers, and policy excerpts to recommend next actions.
+Return EXACTLY: (1) Risks, (2) Beds needed & by when, (3) Actions ranked with owner/ETA/expected beds, (4) Expected impact, (5) Escalations/Comms.
+
+Policies & SOP Excerpts:
+{policy_context}
+
+Snapshot (JSON):
+{json.dumps(snapshot, indent=2)}
+
+Computed Numbers:
+{json.dumps(computed_numbers, indent=2)}
+
+{DECISION_FRAME}
+""".strip()