"""
Basic example — fetch a few series and print the latest values.
Run from the bls/ directory:  python3 examples/basic_pull.py
"""

import sys, os
sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))

from config import BLS_API_KEY
from bls_client import BLSClient
from bls_client.queries import employment, prices, wages

client = BLSClient(BLS_API_KEY)

# ── Single series ────────────────────────────────────────────────────────────
print("=== National Nonfarm Payrolls ===")
result = client.fetch_latest(employment.nonfarm_payrolls(), years=1)
for sid, s in result.items():
    obs = client.latest_obs(s)
    print(f"  {obs['periodName']} {obs['year']}: {float(obs['value']):,.0f} thousand jobs")

# ── Named dict pull ──────────────────────────────────────────────────────────
print("\n=== CPI Dashboard (latest month) ===")
results = client.fetch_named(prices.cpi_dashboard(), 2025, 2026)
for label, s in results.items():
    obs = client.latest_obs(s)
    if obs:
        print(f"  {label:<30} {obs['value']:>8}  ({obs['periodName']} {obs['year']})")

# ── DC region unemployment ───────────────────────────────────────────────────
print("\n=== DC Region Unemployment Rates ===")
results = client.fetch_named(employment.dc_region_unemployment(), 2025, 2026)
for label, s in results.items():
    obs = client.latest_obs(s)
    if obs:
        print(f"  {label:<20} {obs['value']}%  ({obs['periodName']} {obs['year']})")

# ── Flatten to rows ──────────────────────────────────────────────────────────
print("\n=== Raw rows (first 3) ===")
result = client.fetch_latest(employment.nonfarm_payrolls(), years=1, catalog=True)
rows = client.to_rows(result)
for row in rows[:3]:
    print(f"  {row}")