#!/usr/bin/env python3
# READY TO DEPLOY — requires base Brain Postgres schema + run schemas/bhi_tables.sql
"""
SAMHSA findtreatment.gov behavioral health facility locator.

Source: https://findtreatment.gov/locator/exportsAsJson/v2
Confirmed: 96,009 facilities across 3,201 pages (sType=BH).
"""
import logging
import sys
from _common import RateLimitedSession, bulk_insert, job_run

LOG = logging.getLogger("bhi.samhsa_locator")
BASE = "https://findtreatment.gov/locator/exportsAsJson/v2"
ZIP_SEED = "10001"  # any valid zip works; results are national in the 'BH' sType
PAGE_SIZE = 30      # server default; respected


def test_endpoint():
    s = RateLimitedSession()
    r = s.get(BASE, params={"sType": "BH", "sAddr": ZIP_SEED, "page": 1}).json()
    print(f"OK: recordCount={r.get('recordCount')}, totalPages={r.get('totalPages')}")
    rows = r.get("rows", [])
    if rows:
        print("sample:", rows[0].get("name1"), rows[0].get("state"))
    return bool(rows)


def fetch_rows(max_pages: int | None = None):
    s = RateLimitedSession(min_interval=0.3)
    out = []
    page = 1
    total = None
    while True:
        r = s.get(BASE, params={"sType": "BH", "sAddr": ZIP_SEED, "pageSize": PAGE_SIZE, "page": page}).json()
        total = total or r.get("totalPages", 1)
        out.extend(r.get("rows", []))
        if page % 50 == 0:
            LOG.info("page %d/%d (total rows %d)", page, total, len(out))
        if page >= total or (max_pages and page >= max_pages):
            break
        page += 1
    LOG.info("fetched %d facilities", len(out))
    return out


def _parse_float(v):
    try:
        return float(v) if v not in (None, "") else None
    except (TypeError, ValueError):
        return None


def write_rows(conn, raw):
    cols = [
        "ccn","npi","name","address","city","state","zip","county_fips",
        "lat","lon","facility_type","ownership","bed_count","psych_bed_count",
        "pediatric_psych_bed_count","adolescent_unit","young_adult_unit",
        "services_offered","populations_served","payment_accepted",
        "medicaid_accepted","accreditation","opened_date","closed_date",
        "last_verified","source","source_raw_id",
    ]
    rows = []
    for r in raw:
        name = " ".join(filter(None, [r.get("name1"), (r.get("name2") or "").strip()])).strip()
        services = (r.get("services") or "").split(",") if r.get("services") else []
        # SAMHSA flags adolescent/young-adult services in the services string
        services_lc = [s.lower() for s in services]
        adolescent = any("adolescent" in s or "youth" in s or "teen" in s for s in services_lc) or None
        young_adult = any("young adult" in s or "transitional age" in s for s in services_lc) or None
        rows.append((
            None, None,  # ccn/npi unknown from this source
            name, r.get("street1"),
            r.get("city"), r.get("state"), r.get("zip"), None,
            _parse_float(r.get("latitude")), _parse_float(r.get("longitude")),
            r.get("typeFacility") or "bh_facility",
            None, None, None, None,
            adolescent, young_adult,
            services, [], [], None, None, None, None, None,
            "samhsa_locator", None,
        ))
    bulk_insert(conn, "bhi_facilities", cols, rows)
    return len(rows)


def main():
    with job_run("bhi_samhsa_locator") as (conn, _):
        n = write_rows(conn, fetch_rows())
        LOG.info("inserted %d", n)


if __name__ == "__main__":
    if len(sys.argv) > 1 and sys.argv[1] == "test":
        sys.exit(0 if test_endpoint() else 1)
    main()