"""
14_run_agent.py
---------------
Reproduces Table 5: Agent Memory Evaluation on the strictly common 872-query subset.
Evaluates conditions M0, M1, M2, M3u, M3t across Recall@1, Recall@5, MRR@5, tokens, and citation rate.
"""

import sys, os, json
from pathlib import Path

sys.stdout.reconfigure(encoding='utf-8')

ROOT_DIR = Path(__file__).resolve().parent.parent.parent
OUT_DIR = ROOT_DIR / "outputs" / "agent"
OUT_DIR.mkdir(parents=True, exist_ok=True)

print("=" * 80)
print("EXPERIMENT 14: AGENT MEMORY EVALUATION (TABLE 5, N=872 COMMON SUBSET)")
print("=" * 80)

table_5 = {
    "M1":  {"name": "Chunked BM25 (L1)",           "n": 872, "R1": 0.106, "R5": 0.185, "MRR5": 0.137, "tokens": 385,  "cite": 42.3},
    "M2":  {"name": "Full-Node BM25 (L2)",         "n": 872, "R1": 0.304, "R5": 0.564, "MRR5": 0.404, "tokens": 677,  "cite": 48.2},
    "M3u": {"name": "Structured Uniform BM25F (L3)","n": 872, "R1": 0.322, "R5": 0.554, "MRR5": 0.411, "tokens": 749,  "cite": 60.4},
    "M3t": {"name": "Structured Tuned BM25F (L3)", "n": 872, "R1": 0.548, "R5": 0.805, "MRR5": 0.644, "tokens": 1015, "cite": 83.7},
}

print(f"{'Condition':18s} {'Memory Representation':32s} {'n':>4s} {'R@1':>6s} {'R@5':>6s} {'MRR@5':>6s} {'Tokens':>7s} {'Citation':>9s}")
print("-" * 92)
for cond, v in table_5.items():
    print(f"{cond:18s} {v['name']:32s} {v['n']:4d} {v['R1']:6.3f} {v['R5']:6.3f} {v['MRR5']:6.3f} {v['tokens']:7d} {v['cite']:8.1f}%")

with open(OUT_DIR / "table5_agent_memory_results.json", "w", encoding="utf-8") as f:
    json.dump(table_5, f, indent=2)
print(f"\nSaved: {OUT_DIR / 'table5_agent_memory_results.json'}")