# -*- coding: utf-8 -*-
"""讀取 stats_fdr_results.csv，重算多重比較校正（Benjamini-Hochberg FDR 與 Bonferroni）。
用法：python compute_fdr.py  （與 stats_fdr_results.csv 同目錄執行）"""
import csv, os, sys
try:
    sys.stdout.reconfigure(encoding="utf-8", errors="replace")
except Exception:
    pass

here = os.path.dirname(os.path.abspath(__file__))
path = os.path.join(here, "..", "stats_fdr_results.csv")
rows = list(csv.DictReader(open(path, encoding="utf-8-sig")))
ps = [(r["code"], r["indicator"], float(r["p_raw"])) for r in rows]
m = len(ps)
srt = sorted(range(m), key=lambda i: ps[i][2])

# BH adjusted q-values
q = [0.0]*m; prev = 1.0
for rank in range(m-1, -1, -1):
    i = srt[rank]; prev = min(prev, ps[i][2]*m/(rank+1)); q[i] = prev
kmax = 0
for rank in range(m):
    if ps[srt[rank]][2] <= (rank+1)/m*0.05: kmax = rank+1
bh = set(srt[r] for r in range(kmax))
bonf = set(i for i in range(m) if ps[i][2]*m < 0.05)

raw = [i for i in range(m) if ps[i][2] < 0.05]
print(f"m={m} indicators; raw p<.05: {len(raw)}; BH-FDR survivors: {len(bh)}; Bonferroni: {len(bonf)}")
print("\nBH-FDR survivors (alpha=.05):")
for i in sorted(bh, key=lambda i: ps[i][2]):
    print(f"  {ps[i][0]:7s} {ps[i][1]:20s} p={ps[i][2]:.4f} q={q[i]:.4f}")