crosslingual-clinical-rag-study / code /rag_isolation_3col.py
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Cross-lingual clinical RAG study: benchmark, 3-arm harness, results, paper (EN+TR)
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#!/usr/bin/env python3
# NOT: Bu script KADIM sistemine (kadim_core, test_regression, ChromaDB indeksi) bağımlıdır;
# metodoloji referansı olarak sunulur, standalone çalışmaz. / This script depends on
# the KADIM system; provided as a methodology reference, not standalone-runnable.
# -*- coding: utf-8 -*-
"""Fable izolasyon deneyi: expand ↔ retrieval ayrıştır. 40 DEV × 3 kol × n=8, aynı-seed.
Kollar: NORAG / RAG-no-expand (RAG_DISABLE_EXPAND=1) / RAG-with-expand (mevcut)."""
import sys, os, json, re, argparse
os.environ["CHAT_MODEL"] = "qwen3:8b"
os.environ["RAG_EXPAND_WB"] = "0" # WB terk edildi
os.environ["RAG_SORT_DISTANCE"] = "0" # distance-primary no-op, kapalı
sys.path.insert(0, "/path/to/kadim")
import test_regression as T
import kadim_core
from config.model_config import MODEL_CONFIG
from config.settings import Settings
HELD = {"ACL-02","ACL-06","NRL-02","DAH-01","DAH-04","DAH-05","DAH-06","JNK-02",
"URO-01","URO-02","KBB-01","KRD-04","KRD-05","DRM-01","ENF-02","NEF-02",
"PED-02","PSK-02","GAS-02","GNL-01"}
DEV = [c for c in T.TEST_CASES if c["id"] not in HELD]
OPT = MODEL_CONFIG.get_options("clinical"); OPT["temperature"]=0.1
def primary_section(ans):
m = re.search(r"Olas[ıi]\s*Tan[ıi]lar", ans, re.I)
return ans[m.end():m.end()+300] if m else ans[:280]
def grp_hit(text, group):
low=text.lower(); return any(t.lower() in low for t in group)
def run_rag(q):
kadim_core._rag_cache._cache.clear()
return kadim_core.rag_query(query=q, model_url=Settings.CHAT_URL, options=OPT,
k=Settings.DEFAULT_TOP_K, api_key=Settings.OPENWEBUI_API_KEY, mode="auto")
def run_norag(q):
mode=kadim_core.PROMPTS.detect_mode(q)
specs=kadim_core.route_multi_specialty(q, max_specs=2)
base=kadim_core.PROMPTS.get_system_prompt(mode, specialties=specs)
a=kadim_core.ollama_chat(base+"\n\n(Not: Context bulunamadı)", q, "qwen3:8b", OPT, Settings.CHAT_URL, Settings.OPENWEBUI_API_KEY)
return kadim_core.clean_response(a)
def main():
ap=argparse.ArgumentParser(); ap.add_argument("--runs",type=int,default=8); args=ap.parse_args()
N=args.runs; res={}
for ci,c in enumerate(DEV,1):
cid,q,must=c["id"],c["query"],c.get("must_contain",[])
g0=must[0] if must else None
row={"NORAG":0,"NOEXP":0,"EXP":0}
for r in range(N):
OPT["seed"]=42+ci*100+r
# NORAG
a=run_norag(q)
if g0 and grp_hit(primary_section(a),g0): row["NORAG"]+=1
# RAG no-expand
os.environ["RAG_DISABLE_EXPAND"]="1"
a=run_rag(q); a=a if isinstance(a,str) else a.get("answer","")
if g0 and grp_hit(primary_section(a),g0): row["NOEXP"]+=1
# RAG with-expand
os.environ["RAG_DISABLE_EXPAND"]="0"
a=run_rag(q); a=a if isinstance(a,str) else a.get("answer","")
if g0 and grp_hit(primary_section(a),g0): row["EXP"]+=1
res[cid]=row
json.dump(res, open("/path/to/kadim/logs/rag_isolation_3col.json","w"), ensure_ascii=False, indent=1)
print(f"[{ci}/{len(DEV)}] {cid:8} NORAG={row['NORAG']} NOEXP={row['NOEXP']} EXP={row['EXP']} (n={N})")
# özet
tot=len(res)*N
sN=sum(r["NORAG"] for r in res.values()); sX=sum(r["NOEXP"] for r in res.values()); sE=sum(r["EXP"] for r in res.values())
print(f"\n=== İZOLASYON ÖZET ({len(res)} vaka × n={N} = {tot}) ===")
print(f"NORAG : {sN}/{tot} ({sN/tot:.0%})")
print(f"RAG no-expand : {sX}/{tot} ({sX/tot:.0%})")
print(f"RAG with-expand : {sE}/{tot} ({sE/tot:.0%})")
print(f"\n--- expand'in ETKİSİ (EXP - NOEXP, vaka bazı |Δ|>=2) ---")
for cid,r in res.items():
d=r["EXP"]-r["NOEXP"]
if abs(d)>=2: print(f" {cid:8} EXP={r['EXP']} NOEXP={r['NOEXP']}{d:+d}) {'expand ZARAR' if d<0 else 'expand YARDIM'}")
print(f"\n--- retrieval'in ETKİSİ (NOEXP - NORAG, vaka bazı |Δ|>=2) ---")
for cid,r in res.items():
d=r["NOEXP"]-r["NORAG"]
if abs(d)>=2: print(f" {cid:8} NOEXP={r['NOEXP']} NORAG={r['NORAG']}{d:+d}) {'retrieval ZARAR' if d<0 else 'retrieval YARDIM'}")
if __name__=="__main__": main()