BHI layer v1: docs, schema, Phase A ingestion stubs

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BHI Staging Agent
2026-04-05 20:15:36 +00:00
commit 3dfd9ea3c6
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jobs/ingestion/nppes.py Normal file
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#!/usr/bin/env python3
# READY TO DEPLOY — requires base Brain Postgres schema + run schemas/bhi_tables.sql
"""
CMS NPPES (National Plan & Provider Enumeration System) — behavioral health
providers by taxonomy + state.
API: https://npiregistry.cms.hhs.gov/api/?version=2.1
Filter: taxonomy codes for psychiatry, psychology, counseling, SUD.
"""
import logging
import sys
from _common import RateLimitedSession, bulk_insert, job_run
LOG = logging.getLogger("bhi.nppes")
BASE = "https://npiregistry.cms.hhs.gov/api/"
BH_TAXONOMY_CODES = [
"2084P0800X", # Psychiatry
"2084P0802X", # Addiction Psychiatry
"2084P0804X", # Child & Adolescent Psychiatry
"103T00000X", # Psychologist
"103TC2200X", # Clinical Child & Adolescent Psychologist
"101YM0800X", # Mental Health Counselor
"1041C0700X", # Clinical Social Worker
"324500000X", # Substance Abuse Rehabilitation Facility
"283Q00000X", # Psychiatric Hospital
"323P00000X", # Psychiatric Residential Treatment Facility
]
STATES = ["AL","AK","AZ","AR","CA","CO","CT","DE","FL","GA","HI","ID","IL","IN",
"IA","KS","KY","LA","ME","MD","MA","MI","MN","MS","MO","MT","NE","NV",
"NH","NJ","NM","NY","NC","ND","OH","OK","OR","PA","RI","SC","SD","TN",
"TX","UT","VT","VA","WA","WV","WI","WY","DC"]
def test_endpoint():
s = RateLimitedSession()
r = s.get(BASE, params={
"version": "2.1", "taxonomy_description": "psychiatric",
"state": "NY", "limit": 2,
}).json()
print(f"OK: result_count={r.get('result_count')}")
return r.get("result_count", 0) > 0
def fetch_rows():
s = RateLimitedSession(min_interval=0.1)
all_rows = []
for state in STATES:
for taxonomy in BH_TAXONOMY_CODES:
skip = 0
while True:
r = s.get(BASE, params={
"version": "2.1",
"taxonomy_description": taxonomy,
"state": state,
"limit": 200,
"skip": skip,
}).json()
results = r.get("results", [])
if not results:
break
for row in results:
row["_state"] = state
row["_taxonomy"] = taxonomy
all_rows.extend(results)
if len(results) < 200:
break
skip += 200
if skip > 1200: # NPPES caps paging
break
LOG.info("state=%s tax=%s total=%d", state, taxonomy, len(all_rows))
return all_rows
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:
addresses = r.get("addresses") or []
location = next((a for a in addresses if a.get("address_purpose") == "LOCATION"), addresses[0] if addresses else {})
basic = r.get("basic") or {}
name = basic.get("organization_name") or " ".join(filter(None, [basic.get("first_name"), basic.get("last_name")]))
rows.append((
None, str(r.get("number", "")),
name,
location.get("address_1"), location.get("city"),
location.get("state"), location.get("postal_code"), None,
None, None,
"provider" if basic.get("name_prefix") is None else "org",
None, None, None, None, None, None,
[r.get("_taxonomy", "")], [], [], None, None, None, None, None,
"nppes", None,
))
bulk_insert(conn, "bhi_facilities", cols, rows)
return len(rows)
def main():
with job_run("bhi_nppes") 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()