"""合成A股报告样本；样本均值不冒充供应商一致预期。"""
import json
from decimal import Decimal as D

reports = [
    ("A", "2026-10-01", 2027, "1.00"),
    ("A", "2026-10-20", 2027, "1.20"),
    ("B", "2026-10-19", 2027, "1.40"),
    ("C", "2026-10-20", 2028, "2.00"),
    ("B", "2026-10-27", 2027, "1.60"),
]
cutoff, year = "2026-10-26", 2027
latest = {}
for broker, published, fiscal_year, eps in reports:
    if published > cutoff or fiscal_year != year:
        continue
    if broker not in latest or published > latest[broker][0]:
        latest[broker] = (published, D(eps))
sample_mean = sum(v[1] for v in latest.values()) / D(len(latest))
vendor_mean = D("1.35")
assert set(latest) == {"A", "B"}
assert latest["A"][1] == D("1.20") and sample_mean == D("1.30")
assert sample_mean != vendor_mean
naive = sum(D(r[3]) for r in reports[:4]) / 4
assert naive == D("1.40") and naive != sample_mean
print(json.dumps({"fiscal_year": year, "brokers": sorted(latest), "sample_mean": str(sample_mean),
                  "vendor_mean": str(vendor_mean), "difference": str(sample_mean-vendor_mean),
                  "bad_mixed_mean": str(naive)}, sort_keys=True))