dadams
eccfbdbad9
Adds three coordinated changes: - Request nameplate, summer, and winter capacity from the EIA operating-generator-capacity endpoint and project them as typed columns on energy_eia_operating_generator_capacity_flat. The original ingest only pulled latitude and longitude, leaving the flat table with no MW values despite its name. - New cluster_analysis.ipynb joins master_data_centers to ACS-2024 demographics, USDA RUCA-2020 codes (loaded from new/), and EIA generation capacity within 50 km of each site. - Summary doc consolidates the headline findings: DC tracts skew higher income / more educated / more racially diverse than US average, the metro over-index is only 1.11x, the non-metro tail is dominated by hyperscalers in the Columbia River corridor (OR+WA = 66% of non-metro DCs), and Microsoft co-locates with Palo Verde Nuclear in Goodyear AZ. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
1302 lines
48 KiB
Python
1302 lines
48 KiB
Python
#!/usr/bin/env python3
|
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"""
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Ingest EIA energy infrastructure data via EIA API into PostGIS with GEOID linking.
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Usage:
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ingest_eia_energy_layers.py [--category electric|power|gas|all] [--max-records N] [--skip-ingest] [--list-only]
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Features:
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- Queries EIA API for energy infrastructure datasets
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- Filters by category (electric grid, power plants, gas infrastructure)
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- Imports GeoJSON features to standardized PostGIS table names
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- Creates source catalog, tract-level GEOID linkage, and summary tables
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- Skips unavailable or invalid datasets gracefully
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Environment:
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- EIA_API_KEY: Required. Your EIA API key from https://www.eia.gov/opendata/
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- PGWEB_HOST, PGWEB_PORT, PGWEB_USER, PGWEB_PASSWORD: PostGIS connection
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"""
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import argparse
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import hashlib
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import json
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import os
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import re
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import sys
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import time
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from dataclasses import dataclass
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from pathlib import Path
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from typing import List, Optional, Dict, Any
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import psycopg2
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import requests
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from psycopg2 import sql
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from psycopg2.extras import execute_values
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DB_NAME = "data_centers"
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TRACT_TABLE = "public.data_center_census_tracts_2024"
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LINK_TABLE = "public.energy_atlas_tract_link"
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SUMMARY_TABLE = "public.energy_atlas_tract_summary"
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# EIA API configuration
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EIA_API_BASE = "https://api.eia.gov/v2"
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EIA_API_KEY = os.environ.get("EIA_API_KEY")
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if not EIA_API_KEY:
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print("ERROR: EIA_API_KEY environment variable not set")
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sys.exit(1)
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SERVICE_URL_RE = re.compile(r"https?://[^\s\"']+", re.IGNORECASE)
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SAFE_RE = re.compile(r"[^a-z0-9_]+")
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# EIA dataset categories mapped to infrastructure types
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EIA_DATASETS = {
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"power": {
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"category": "power_plants",
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"endpoints": [
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# Plant-level generation assets with coordinates: what + where.
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"electricity/operating-generator-capacity",
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# Per-plant monthly net + gross generation (Form EIA-923): how much.
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"electricity/facility-fuel",
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],
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},
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"state_energy": {
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"category": "state_energy",
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"endpoints": [
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# State Energy Data System (SEDS): annual state-level production,
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# consumption, price, and expenditure across all energy sources.
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"seds",
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],
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},
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}
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# Extra data fields (the EIA `data[N]=` query params) each endpoint needs.
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# operating-generator-capacity returns only id columns by default; latitude/longitude
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# must be requested explicitly. facility-fuel returns only id columns; generation
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# values must be requested explicitly. seds returns only id columns; the numeric
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# value column must be requested explicitly.
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EIA_DATASET_DATA_FIELDS = {
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"electricity/operating-generator-capacity": [
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"latitude",
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"longitude",
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"nameplate-capacity-mw",
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"net-summer-capacity-mw",
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"net-winter-capacity-mw",
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],
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"electricity/facility-fuel": ["generation", "gross-generation"],
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"seds": ["value"],
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}
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# Frequency for each endpoint. Drives how period range is discovered and how
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# pagination iterates. Endpoints not listed default to "monthly".
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EIA_DATASET_FREQUENCY = {
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"electricity/operating-generator-capacity": "monthly",
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"electricity/facility-fuel": "monthly",
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"seds": "annual",
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}
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def endpoint_frequency(endpoint: str) -> str:
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return EIA_DATASET_FREQUENCY.get(endpoint, "monthly")
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# Endpoints that do not reliably support retry with ad-hoc data[] field requests.
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EIA_NO_RETRY_EXTRA_FIELDS = {
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}
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# US state abbreviation to FIPS code mapping for state-level GEOID linking
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STATE_FIPS = {
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"AL": "01", "AK": "02", "AZ": "04", "AR": "05", "CA": "06",
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"CO": "08", "CT": "09", "DE": "10", "DC": "11", "FL": "12",
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"GA": "13", "HI": "15", "ID": "16", "IL": "17", "IN": "18",
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"IA": "19", "KS": "20", "KY": "21", "LA": "22", "ME": "23",
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"MD": "24", "MA": "25", "MI": "26", "MN": "27", "MS": "28",
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"MO": "29", "MT": "30", "NE": "31", "NV": "32", "NH": "33",
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"NJ": "34", "NM": "35", "NY": "36", "NC": "37", "ND": "38",
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"OH": "39", "OK": "40", "OR": "41", "PA": "42", "RI": "44",
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"SC": "45", "SD": "46", "TN": "47", "TX": "48", "UT": "49",
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"VT": "50", "VA": "51", "WA": "53", "WV": "54", "WI": "55",
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"WY": "56", "PR": "72",
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}
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@dataclass
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class EIADataset:
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dataset_id: str
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name: str
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category: str
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api_endpoint: str
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description: str = ""
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source_url: str = ""
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def slugify(value: str) -> str:
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"""Convert string to SQL-safe identifier."""
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cleaned = SAFE_RE.sub("_", value.lower()).strip("_")
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cleaned = re.sub(r"_+", "_", cleaned)
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return cleaned or "layer"
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def standardize_table_name(dataset_id: str) -> str:
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"""Generate standardized table name from dataset ID."""
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base = f"energy_eia_{slugify(dataset_id)}"
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if len(base) <= 55:
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return base
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digest = hashlib.md5(base.encode("utf-8")).hexdigest()[:8]
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return f"{base[:46]}_{digest}"
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class EIAClientError(Exception):
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"""Non-retryable EIA API error (e.g. 400 for unsupported fields)."""
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def iter_months(start: str, end: str):
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"""Yield 'YYYY-MM' strings from start to end inclusive."""
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sy, sm = (int(x) for x in start.split("-"))
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ey, em = (int(x) for x in end.split("-"))
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y, m = sy, sm
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while (y, m) <= (ey, em):
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yield f"{y:04d}-{m:02d}"
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m += 1
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if m > 12:
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m = 1
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y += 1
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def iter_years(start: str, end: str):
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"""Yield 'YYYY' strings from start to end inclusive."""
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sy = int(start[:4])
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ey = int(end[:4])
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for y in range(sy, ey + 1):
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yield f"{y:04d}"
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def iter_periods(frequency: str, start: str, end: str):
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if frequency == "annual":
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yield from iter_years(start, end)
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else:
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yield from iter_months(start, end)
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def discover_period_range(endpoint: str, frequency: str = "monthly") -> tuple:
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"""Return (earliest, latest) period strings for an endpoint.
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Forces an explicit frequency so endpoints that publish multiple frequencies
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(e.g. facility-fuel monthly+annual) return periods in the expected format.
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Monthly endpoints get 'YYYY-MM'; annual endpoints (e.g. SEDS) get 'YYYY'.
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Routes through query_eia_api for retry/backoff coverage.
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"""
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def _one(direction: str) -> str:
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data = query_eia_api(
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endpoint,
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params={
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"length": 1,
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"sort[0][column]": "period",
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"sort[0][direction]": direction,
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},
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query_params={"frequency": frequency},
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)
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rows = (data or {}).get("response", {}).get("data", [])
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if not rows:
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raise RuntimeError(f"no rows returned discovering period range for {endpoint}")
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return rows[0]["period"]
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return _one("asc"), _one("desc")
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def query_eia_api(
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endpoint: str,
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params: Optional[Dict[str, Any]] = None,
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extra_data_fields: Optional[List[str]] = None,
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query_params: Optional[Dict[str, Any]] = None,
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) -> Optional[Dict]:
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"""Query EIA API endpoint with retry/backoff on transient errors.
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Returns parsed JSON on success. Raises EIAClientError on 4xx (caller
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decides whether to retry without extra fields). Raises requests.RequestException
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after exhausting retries on transient errors.
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"""
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if not endpoint.endswith("/data"):
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endpoint = f"{endpoint}/data"
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url = f"{EIA_API_BASE}/{endpoint}/"
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req_params: Dict[str, Any] = {"api_key": EIA_API_KEY, "length": 5000}
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if query_params:
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req_params.update(query_params)
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if params:
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req_params.update(params)
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if extra_data_fields:
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for i, field in enumerate(extra_data_fields):
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req_params[f"data[{i}]"] = field
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max_attempts = 10
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base_backoff = 5.0
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max_backoff = 120.0
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last_exc: Optional[Exception] = None
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for attempt in range(1, max_attempts + 1):
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try:
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resp = requests.get(url, params=req_params, timeout=(10, 120))
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if 400 <= resp.status_code < 500 and resp.status_code != 429:
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raise EIAClientError(f"HTTP {resp.status_code} on {endpoint}: {resp.text[:200]}")
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resp.raise_for_status()
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return resp.json()
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except EIAClientError:
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raise
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except (requests.Timeout, requests.ConnectionError, requests.HTTPError, ValueError) as e:
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last_exc = e
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if attempt == max_attempts:
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break
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sleep_s = min(base_backoff * (2 ** (attempt - 1)), max_backoff)
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print(f" api error on {endpoint} (attempt {attempt}/{max_attempts}): {e}; retrying in {sleep_s:.0f}s")
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time.sleep(sleep_s)
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raise last_exc # type: ignore[misc]
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def fetch_eia_pages(
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endpoint: str,
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max_records: int = 0,
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extra_data_fields: Optional[List[str]] = None,
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query_params: Optional[Dict[str, Any]] = None,
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) -> Any:
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"""Yield paged EIA records; retry without extra fields on unsupported endpoints."""
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page_size = 5000
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offset = 0
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yielded = 0
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used_extra_fields = extra_data_fields
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previous_first_row: Optional[str] = None
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while True:
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params = {"offset": offset, "length": page_size}
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try:
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data = query_eia_api(
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endpoint,
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params=params,
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extra_data_fields=used_extra_fields,
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query_params=query_params,
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)
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except EIAClientError as e:
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if used_extra_fields and endpoint not in EIA_NO_RETRY_EXTRA_FIELDS:
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print(f" retrying {endpoint} without extra data fields ({e})")
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used_extra_fields = None
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data = query_eia_api(
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endpoint,
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params=params,
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extra_data_fields=None,
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query_params=query_params,
|
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)
|
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else:
|
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raise
|
||
|
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if not data:
|
||
return
|
||
|
||
response = data.get("response", {})
|
||
page_records = response.get("data", [])
|
||
if not page_records:
|
||
return
|
||
|
||
# Some EIA endpoints ignore offset and repeat page 1 forever.
|
||
# Detect repeated first row signature and stop pagination.
|
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first_row_sig = json.dumps(page_records[0], sort_keys=True, default=str)
|
||
if previous_first_row is not None and first_row_sig == previous_first_row:
|
||
return
|
||
previous_first_row = first_row_sig
|
||
|
||
total = response.get("total")
|
||
try:
|
||
total_int = int(total) if total is not None else None
|
||
except (TypeError, ValueError):
|
||
total_int = None
|
||
|
||
if max_records > 0:
|
||
remaining = max_records - yielded
|
||
if remaining <= 0:
|
||
return
|
||
if len(page_records) > remaining:
|
||
page_records = page_records[:remaining]
|
||
|
||
yield page_records, used_extra_fields
|
||
yielded += len(page_records)
|
||
|
||
if max_records > 0 and yielded >= max_records:
|
||
return
|
||
|
||
if total_int is not None and yielded >= total_int:
|
||
return
|
||
|
||
if len(page_records) < page_size:
|
||
return
|
||
|
||
offset += len(page_records)
|
||
|
||
|
||
def fetch_eia_pages_by_period(
|
||
endpoint: str,
|
||
frequency: str,
|
||
earliest: str,
|
||
latest: str,
|
||
max_records: int = 0,
|
||
extra_data_fields: Optional[List[str]] = None,
|
||
) -> Any:
|
||
"""Yield pages across periods, querying one period (month or year) at a time.
|
||
|
||
EIA's bulk endpoints serve large offsets slowly and return frequent 503s
|
||
under sustained load. Filtering by &frequency=F&start=X&end=X keeps each
|
||
query small (~17k–28k rows per month for operating-generator-capacity,
|
||
~40k rows per year for SEDS) and dramatically reduces failure rate and
|
||
wall time.
|
||
"""
|
||
yielded = 0
|
||
for period in iter_periods(frequency, earliest, latest):
|
||
if max_records > 0 and yielded >= max_records:
|
||
return
|
||
remaining = max_records - yielded if max_records > 0 else 0
|
||
period_params = {"frequency": frequency, "start": period, "end": period}
|
||
for page_records, used_extra_fields in fetch_eia_pages(
|
||
endpoint,
|
||
max_records=remaining,
|
||
extra_data_fields=extra_data_fields,
|
||
query_params=period_params,
|
||
):
|
||
yield page_records, used_extra_fields, period
|
||
yielded += len(page_records)
|
||
if max_records > 0 and yielded >= max_records:
|
||
return
|
||
|
||
|
||
def get_eia_datasets(category: str = "all") -> List[EIADataset]:
|
||
"""Discover EIA datasets by category."""
|
||
datasets = []
|
||
cats = [category] if category != "all" else list(EIA_DATASETS.keys())
|
||
|
||
for cat in cats:
|
||
if cat not in EIA_DATASETS:
|
||
continue
|
||
cat_info = EIA_DATASETS[cat]
|
||
for endpoint in cat_info.get("endpoints", []):
|
||
dataset_id = endpoint.replace("/", "_")
|
||
datasets.append(
|
||
EIADataset(
|
||
dataset_id=dataset_id,
|
||
name=endpoint.split("/")[-1],
|
||
category=cat_info["category"],
|
||
api_endpoint=endpoint,
|
||
source_url=f"{EIA_API_BASE}/{endpoint}",
|
||
)
|
||
)
|
||
|
||
return datasets
|
||
|
||
|
||
def parse_seed_line(line: str) -> Optional[EIADataset]:
|
||
"""Parse stub - not used with EIA API."""
|
||
return None
|
||
|
||
|
||
def read_seed_file(seed_path: Path) -> List[EIADataset]:
|
||
"""Stub - datasets discovered via EIA API catalog."""
|
||
return []
|
||
|
||
|
||
def classify_layer(text: str) -> Optional[str]:
|
||
"""Stub - classification handled by get_eia_datasets()."""
|
||
return None
|
||
|
||
|
||
def import_layer_to_postgis(dataset: EIADataset, table_name: str, max_records: int = 0) -> bool:
|
||
"""Import EIA dataset to PostGIS table."""
|
||
conn = connect_db()
|
||
try:
|
||
extra_fields = EIA_DATASET_DATA_FIELDS.get(dataset.api_endpoint)
|
||
frequency = endpoint_frequency(dataset.api_endpoint)
|
||
|
||
earliest, latest = discover_period_range(dataset.api_endpoint, frequency)
|
||
print(f" period range ({frequency}): {earliest} -> {latest}")
|
||
|
||
count = 0
|
||
geo_count = 0
|
||
initialized = False
|
||
current_period: Optional[str] = None
|
||
|
||
for page_records, used_extra_fields, period in fetch_eia_pages_by_period(
|
||
dataset.api_endpoint,
|
||
frequency=frequency,
|
||
earliest=earliest,
|
||
latest=latest,
|
||
max_records=max_records,
|
||
extra_data_fields=extra_fields,
|
||
):
|
||
if period != current_period:
|
||
if current_period is not None:
|
||
print(f" progress: {count} rows ingested through {current_period}")
|
||
current_period = period
|
||
if not initialized:
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
f"""
|
||
CREATE TABLE IF NOT EXISTS public.{table_name} (
|
||
gid SERIAL PRIMARY KEY,
|
||
geom GEOMETRY(GEOMETRY, 4326),
|
||
properties JSONB
|
||
)
|
||
"""
|
||
)
|
||
cur.execute(f"TRUNCATE TABLE public.{table_name}")
|
||
initialized = True
|
||
|
||
geom_rows = []
|
||
prop_rows = []
|
||
for record in page_records:
|
||
props_json = json.dumps(record)
|
||
lat = record.get("latitude") or record.get("lat")
|
||
lon = record.get("longitude") or record.get("lon")
|
||
try:
|
||
lat = float(lat) if lat is not None else None
|
||
lon = float(lon) if lon is not None else None
|
||
except (TypeError, ValueError):
|
||
lat = lon = None
|
||
|
||
if lat is not None and lon is not None and -90 <= lat <= 90 and -180 <= lon <= 180:
|
||
geom_rows.append((lon, lat, props_json))
|
||
geo_count += 1
|
||
else:
|
||
prop_rows.append((props_json,))
|
||
count += 1
|
||
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
if geom_rows:
|
||
execute_values(
|
||
cur,
|
||
f"INSERT INTO public.{table_name} (geom, properties) VALUES %s",
|
||
geom_rows,
|
||
template="(ST_SetSRID(ST_MakePoint(%s, %s), 4326), %s)",
|
||
page_size=1000,
|
||
)
|
||
if prop_rows:
|
||
execute_values(
|
||
cur,
|
||
f"INSERT INTO public.{table_name} (properties) VALUES %s",
|
||
prop_rows,
|
||
template="(%s)",
|
||
page_size=1000,
|
||
)
|
||
|
||
# Track if API ended up running without extra fields after retry.
|
||
if used_extra_fields is None:
|
||
extra_fields = None
|
||
|
||
if not initialized:
|
||
print(" no data returned")
|
||
return False
|
||
|
||
geo_msg = f", {geo_count} with geometry" if extra_fields else ""
|
||
print(f" inserted {count} features into {table_name}{geo_msg}")
|
||
return count > 0
|
||
finally:
|
||
try:
|
||
conn.close()
|
||
except:
|
||
pass
|
||
|
||
|
||
def connect_db():
|
||
"""Connect to PostGIS database."""
|
||
return psycopg2.connect(
|
||
host=os.environ["PGWEB_HOST"],
|
||
port=os.environ["PGWEB_PORT"],
|
||
user=os.environ["PGWEB_USER"],
|
||
password=os.environ["PGWEB_PASSWORD"],
|
||
dbname=DB_NAME,
|
||
)
|
||
|
||
|
||
def ensure_source_catalog_table(conn):
|
||
"""Create source catalog table if it doesn't exist."""
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"""
|
||
create table if not exists public.energy_atlas_layers_catalog (
|
||
table_name text primary key,
|
||
source_item_id text,
|
||
source_type text,
|
||
source_title text,
|
||
source_owner text,
|
||
source_url text,
|
||
category text,
|
||
imported_at timestamptz default now()
|
||
)
|
||
"""
|
||
)
|
||
|
||
|
||
def upsert_layer_catalog(conn, table_name: str, dataset: EIADataset, category: str):
|
||
"""Upsert layer metadata into source catalog."""
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"""
|
||
insert into public.energy_atlas_layers_catalog (
|
||
table_name,
|
||
source_item_id,
|
||
source_type,
|
||
source_title,
|
||
source_owner,
|
||
source_url,
|
||
category,
|
||
imported_at
|
||
)
|
||
values (%s,%s,%s,%s,%s,%s,%s,now())
|
||
on conflict (table_name) do update
|
||
set source_item_id = excluded.source_item_id,
|
||
source_type = excluded.source_type,
|
||
source_title = excluded.source_title,
|
||
source_owner = excluded.source_owner,
|
||
source_url = excluded.source_url,
|
||
category = excluded.category,
|
||
imported_at = now()
|
||
""",
|
||
(
|
||
table_name,
|
||
dataset.dataset_id,
|
||
"EIA API",
|
||
dataset.name,
|
||
"U.S. Energy Information Administration",
|
||
dataset.source_url,
|
||
category,
|
||
),
|
||
)
|
||
|
||
|
||
def add_geom_index_and_analyze(conn, table_name: str):
|
||
"""Create spatial index and analyze table."""
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
f"create index if not exists {table_name}_geom_gix on public.{table_name} using gist (geom)"
|
||
)
|
||
cur.execute(f"analyze public.{table_name}")
|
||
|
||
|
||
def table_geom_class(conn, table_name: str) -> Optional[str]:
|
||
"""Get geometry type of table."""
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
f"""
|
||
select st_geometrytype(geom)
|
||
from public.{table_name}
|
||
where geom is not null
|
||
limit 1
|
||
"""
|
||
)
|
||
row = cur.fetchone()
|
||
if not row:
|
||
return None
|
||
return (row[0] or "").lower()
|
||
|
||
|
||
def reset_link_tables(conn):
|
||
"""Recreate GEOID linkage tables."""
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(f"drop table if exists {LINK_TABLE}")
|
||
cur.execute(
|
||
f"""
|
||
create table {LINK_TABLE} (
|
||
geoid text not null,
|
||
source_table text not null,
|
||
category text not null,
|
||
feature_count integer,
|
||
intersect_length_m numeric,
|
||
intersect_area_sqm numeric,
|
||
unique (geoid, source_table)
|
||
)
|
||
"""
|
||
)
|
||
|
||
|
||
def link_one_table(conn, table_name: str, category: str):
|
||
"""Link infrastructure features to census tracts via spatial join or state FIPS fallback."""
|
||
gclass = table_geom_class(conn, table_name)
|
||
|
||
# Check if table has a properties column (EIA API tables do; legacy tables may not)
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"SELECT count(*) FROM information_schema.columns "
|
||
"WHERE table_schema='public' AND table_name=%s AND column_name='properties'",
|
||
(table_name,),
|
||
)
|
||
has_properties = cur.fetchone()[0] > 0
|
||
|
||
# Check if table has any rows with stateid for state-level fallback
|
||
stateid_count = 0
|
||
if has_properties:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
f"SELECT count(*) FROM public.{table_name} WHERE geom IS NULL AND properties->>'stateid' IS NOT NULL"
|
||
)
|
||
stateid_count = cur.fetchone()[0]
|
||
|
||
if gclass:
|
||
# Spatial join for rows that have geometry
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
if "point" in gclass:
|
||
cur.execute(
|
||
f"""
|
||
INSERT INTO {LINK_TABLE} (
|
||
geoid,
|
||
source_table,
|
||
category,
|
||
feature_count,
|
||
intersect_length_m,
|
||
intersect_area_sqm
|
||
)
|
||
SELECT
|
||
t.geoid,
|
||
%s,
|
||
%s,
|
||
count(*)::integer,
|
||
null,
|
||
null
|
||
FROM {TRACT_TABLE} t
|
||
JOIN public.{table_name} s
|
||
ON t.geom && s.geom
|
||
AND st_covers(t.geom, s.geom)
|
||
GROUP BY t.geoid
|
||
""",
|
||
(table_name, category),
|
||
)
|
||
elif "line" in gclass:
|
||
cur.execute(
|
||
f"""
|
||
INSERT INTO {LINK_TABLE} (
|
||
geoid,
|
||
source_table,
|
||
category,
|
||
feature_count,
|
||
intersect_length_m,
|
||
intersect_area_sqm
|
||
)
|
||
SELECT
|
||
t.geoid,
|
||
%s,
|
||
%s,
|
||
count(*)::integer,
|
||
sum(st_length(st_intersection(t.geom, s.geom)::geography)),
|
||
null
|
||
FROM {TRACT_TABLE} t
|
||
JOIN public.{table_name} s
|
||
ON t.geom && s.geom
|
||
AND st_intersects(t.geom, s.geom)
|
||
GROUP BY t.geoid
|
||
""",
|
||
(table_name, category),
|
||
)
|
||
elif "polygon" in gclass:
|
||
cur.execute(
|
||
f"""
|
||
INSERT INTO {LINK_TABLE} (
|
||
geoid,
|
||
source_table,
|
||
category,
|
||
feature_count,
|
||
intersect_length_m,
|
||
intersect_area_sqm
|
||
)
|
||
SELECT
|
||
t.geoid,
|
||
%s,
|
||
%s,
|
||
count(*)::integer,
|
||
null,
|
||
sum(st_area(st_intersection(t.geom, s.geom)::geography))
|
||
FROM {TRACT_TABLE} t
|
||
JOIN public.{table_name} s
|
||
ON t.geom && s.geom
|
||
AND st_intersects(t.geom, s.geom)
|
||
GROUP BY t.geoid
|
||
""",
|
||
(table_name, category),
|
||
)
|
||
|
||
# State-level GEOID fallback: link rows without geometry using stateid → state FIPS prefix
|
||
if stateid_count > 0:
|
||
link_table_by_state(conn, table_name, category)
|
||
|
||
|
||
def link_table_by_state(conn, table_name: str, category: str):
|
||
"""Link EIA records to census tracts via state FIPS code prefix on GEOID.
|
||
|
||
EIA data has stateid (2-letter abbreviation). We map to FIPS and match
|
||
all census tracts whose GEOID starts with that state FIPS code.
|
||
Each state gets one link row with the count of records for that state.
|
||
"""
|
||
# Build a VALUES list for the state FIPS mapping
|
||
fips_values = ", ".join(f"('{abbr}', '{fips}')" for abbr, fips in STATE_FIPS.items())
|
||
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
f"""
|
||
INSERT INTO {LINK_TABLE} (
|
||
geoid,
|
||
source_table,
|
||
category,
|
||
feature_count,
|
||
intersect_length_m,
|
||
intersect_area_sqm
|
||
)
|
||
SELECT
|
||
t.geoid,
|
||
%s,
|
||
%s,
|
||
state_counts.record_count::integer,
|
||
null,
|
||
null
|
||
FROM (
|
||
SELECT
|
||
sf.fips AS state_fips,
|
||
count(*) AS record_count
|
||
FROM public.{table_name} s
|
||
JOIN (VALUES {fips_values}) AS sf(abbr, fips)
|
||
ON upper(s.properties->>'stateid') = sf.abbr
|
||
WHERE s.geom IS NULL
|
||
GROUP BY sf.fips
|
||
) state_counts
|
||
JOIN {TRACT_TABLE} t
|
||
ON left(t.geoid, 2) = state_counts.state_fips
|
||
ON CONFLICT DO NOTHING
|
||
""",
|
||
(table_name, category),
|
||
)
|
||
rows = cur.rowcount
|
||
|
||
if rows > 0:
|
||
print(f" state-level geocoding linked {rows} tract rows for {table_name}")
|
||
|
||
|
||
def build_summary_table(conn):
|
||
"""Create GEOID summary aggregating all categories."""
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute(f"drop table if exists {SUMMARY_TABLE}")
|
||
cur.execute(
|
||
f"""
|
||
create table {SUMMARY_TABLE} as
|
||
select
|
||
geoid,
|
||
sum(feature_count) filter (where category = 'electric_grid')::integer
|
||
as electric_grid_feature_count,
|
||
sum(coalesce(intersect_length_m, 0)) filter (where category = 'electric_grid')
|
||
as electric_grid_length_m,
|
||
sum(coalesce(intersect_area_sqm, 0)) filter (where category = 'electric_grid')
|
||
as electric_grid_area_sqm,
|
||
sum(feature_count) filter (where category = 'power_plants')::integer
|
||
as power_plant_feature_count,
|
||
sum(feature_count) filter (where category = 'gas_infrastructure')::integer
|
||
as gas_infrastructure_feature_count,
|
||
sum(coalesce(intersect_length_m, 0)) filter (where category = 'gas_infrastructure')
|
||
as gas_infrastructure_length_m,
|
||
sum(coalesce(intersect_area_sqm, 0)) filter (where category = 'gas_infrastructure')
|
||
as gas_infrastructure_area_sqm
|
||
from {LINK_TABLE}
|
||
group by geoid
|
||
"""
|
||
)
|
||
cur.execute(f"alter table {SUMMARY_TABLE} add primary key (geoid)")
|
||
cur.execute(
|
||
f"create index energy_atlas_tract_link_geoid_idx on {LINK_TABLE} (geoid)"
|
||
)
|
||
cur.execute(
|
||
f"create index energy_atlas_tract_link_category_idx on {LINK_TABLE} (category)"
|
||
)
|
||
cur.execute(f"analyze {LINK_TABLE}")
|
||
cur.execute(f"analyze {SUMMARY_TABLE}")
|
||
|
||
|
||
def build_flat_tables(conn):
|
||
"""Create analyst-friendly flat tables from JSON properties."""
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"""
|
||
select table_name
|
||
from information_schema.tables
|
||
where table_schema='public'
|
||
and table_name in (
|
||
'energy_eia_electricity_operating_generator_capacity',
|
||
'energy_eia_electricity_facility_fuel',
|
||
'energy_eia_seds'
|
||
)
|
||
"""
|
||
)
|
||
available = {row[0] for row in cur.fetchall()}
|
||
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
cur.execute("drop table if exists public.energy_eia_electric_power_operational_data_flat")
|
||
cur.execute("drop table if exists public.energy_eia_rto_region_data_flat")
|
||
|
||
if "energy_eia_electricity_operating_generator_capacity" in available:
|
||
cur.execute("drop table if exists public.energy_eia_operating_generator_capacity_flat")
|
||
# EIA stored lower-48 longitudes as positive numbers for periods
|
||
# 2008-01 through 2010-11 (~600k rows). The negative sign is
|
||
# restored here for any state other than AK (Alaska legitimately
|
||
# has Aleutian plants east of the dateline with positive lons).
|
||
# geom is rebuilt from the corrected coordinates so the source
|
||
# table's pre-correction geometry is discarded.
|
||
cur.execute(
|
||
r"""
|
||
create table public.energy_eia_operating_generator_capacity_flat as
|
||
with parsed as (
|
||
select
|
||
gid,
|
||
properties,
|
||
properties->>'stateid' as state_id_raw,
|
||
case
|
||
when (properties->>'latitude') ~ '^-?[0-9]+(\.[0-9]+)?$'
|
||
then (properties->>'latitude')::double precision
|
||
end as latitude_raw,
|
||
case
|
||
when (properties->>'longitude') ~ '^-?[0-9]+(\.[0-9]+)?$'
|
||
then (properties->>'longitude')::double precision
|
||
end as longitude_raw
|
||
from public.energy_eia_electricity_operating_generator_capacity
|
||
),
|
||
fixed as (
|
||
select
|
||
*,
|
||
case
|
||
when longitude_raw > 0 and state_id_raw <> 'AK'
|
||
then -longitude_raw
|
||
else longitude_raw
|
||
end as longitude_fixed
|
||
from parsed
|
||
)
|
||
select
|
||
gid,
|
||
case
|
||
when latitude_raw is not null
|
||
and longitude_fixed is not null
|
||
and latitude_raw between -90 and 90
|
||
and longitude_fixed between -180 and 180
|
||
then st_setsrid(st_makepoint(longitude_fixed, latitude_raw), 4326)
|
||
end as geom,
|
||
properties->>'period' as period,
|
||
properties->>'plantid' as plant_id,
|
||
properties->>'plantName' as plant_name,
|
||
state_id_raw as state_id,
|
||
properties->>'stateName' as state_name,
|
||
properties->>'entityid' as entity_id,
|
||
properties->>'entityName' as entity_name,
|
||
properties->>'generatorid' as generator_id,
|
||
properties->>'status' as status,
|
||
properties->>'sector' as sector,
|
||
properties->>'sectorName' as sector_name,
|
||
properties->>'energy_source_code' as energy_source_code,
|
||
properties->>'energy-source-desc' as energy_source_desc,
|
||
properties->>'prime_mover_code' as prime_mover_code,
|
||
properties->>'balancing_authority_code' as balancing_authority_code,
|
||
properties->>'balancing-authority-name' as balancing_authority_name,
|
||
latitude_raw as latitude,
|
||
longitude_fixed as longitude,
|
||
nullif(properties->>'nameplate-capacity-mw', '')::double precision as nameplate_capacity_mw,
|
||
nullif(properties->>'net-summer-capacity-mw', '')::double precision as net_summer_capacity_mw,
|
||
nullif(properties->>'net-winter-capacity-mw', '')::double precision as net_winter_capacity_mw,
|
||
properties as raw_properties
|
||
from fixed
|
||
"""
|
||
)
|
||
cur.execute(
|
||
"create index energy_eia_operating_generator_capacity_flat_geom_gix "
|
||
"on public.energy_eia_operating_generator_capacity_flat using gist (geom)"
|
||
)
|
||
cur.execute(
|
||
"create index energy_eia_operating_generator_capacity_flat_plant_id_idx "
|
||
"on public.energy_eia_operating_generator_capacity_flat (plant_id)"
|
||
)
|
||
cur.execute(
|
||
"create index energy_eia_operating_generator_capacity_flat_state_id_idx "
|
||
"on public.energy_eia_operating_generator_capacity_flat (state_id)"
|
||
)
|
||
cur.execute("analyze public.energy_eia_operating_generator_capacity_flat")
|
||
|
||
if "energy_eia_electricity_facility_fuel" in available:
|
||
cur.execute("drop table if exists public.energy_eia_facility_fuel_flat")
|
||
cur.execute(
|
||
r"""
|
||
create table public.energy_eia_facility_fuel_flat as
|
||
select
|
||
gid,
|
||
properties->>'period' as period,
|
||
coalesce(properties->>'plantCode', properties->>'plantid') as plant_id,
|
||
properties->>'plantName' as plant_name,
|
||
properties->>'state' as state_id,
|
||
properties->>'stateDescription' as state_name,
|
||
properties->>'primeMover' as prime_mover_code,
|
||
properties->>'primeMoverDescription' as prime_mover_desc,
|
||
properties->>'fuel2002' as energy_source_code,
|
||
properties->>'fuel2002Description' as energy_source_desc,
|
||
case
|
||
when (properties->>'generation') ~ '^-?[0-9]+(\.[0-9]+)?$'
|
||
then (properties->>'generation')::double precision
|
||
else null
|
||
end as generation_mwh,
|
||
case
|
||
when (properties->>'gross-generation') ~ '^-?[0-9]+(\.[0-9]+)?$'
|
||
then (properties->>'gross-generation')::double precision
|
||
else null
|
||
end as gross_generation_mwh,
|
||
properties as raw_properties
|
||
from public.energy_eia_electricity_facility_fuel
|
||
"""
|
||
)
|
||
cur.execute(
|
||
"create index energy_eia_facility_fuel_flat_plant_id_idx "
|
||
"on public.energy_eia_facility_fuel_flat (plant_id)"
|
||
)
|
||
cur.execute(
|
||
"create index energy_eia_facility_fuel_flat_period_idx "
|
||
"on public.energy_eia_facility_fuel_flat (period)"
|
||
)
|
||
cur.execute(
|
||
"create index energy_eia_facility_fuel_flat_state_id_idx "
|
||
"on public.energy_eia_facility_fuel_flat (state_id)"
|
||
)
|
||
cur.execute("analyze public.energy_eia_facility_fuel_flat")
|
||
|
||
if "energy_eia_seds" in available:
|
||
# SEDS column mapping verified 2026-05-17 via length=5 probe of
|
||
# https://api.eia.gov/v2/seds/data/. Confirmed keys: period (YYYY),
|
||
# seriesId, seriesDescription, stateId, stateDescription, value, unit.
|
||
# No sector field — sector is encoded in seriesId.
|
||
cur.execute("drop table if exists public.energy_eia_seds_flat")
|
||
cur.execute(
|
||
r"""
|
||
create table public.energy_eia_seds_flat as
|
||
select
|
||
gid,
|
||
properties->>'period' as period,
|
||
case
|
||
when (properties->>'period') ~ '^[0-9]{4}$'
|
||
then (properties->>'period')::integer
|
||
end as year,
|
||
properties->>'seriesId' as series_id,
|
||
properties->>'seriesDescription' as series_description,
|
||
properties->>'stateId' as state_id,
|
||
properties->>'stateDescription' as state_name,
|
||
case
|
||
when (properties->>'value') ~ '^-?[0-9]+(\.[0-9]+)?$'
|
||
then (properties->>'value')::double precision
|
||
end as value,
|
||
properties->>'unit' as unit,
|
||
properties as raw_properties
|
||
from public.energy_eia_seds
|
||
"""
|
||
)
|
||
cur.execute(
|
||
"create index energy_eia_seds_flat_state_id_idx "
|
||
"on public.energy_eia_seds_flat (state_id)"
|
||
)
|
||
cur.execute(
|
||
"create index energy_eia_seds_flat_series_id_idx "
|
||
"on public.energy_eia_seds_flat (series_id)"
|
||
)
|
||
cur.execute(
|
||
"create index energy_eia_seds_flat_year_idx "
|
||
"on public.energy_eia_seds_flat (year)"
|
||
)
|
||
cur.execute("analyze public.energy_eia_seds_flat")
|
||
|
||
|
||
def prune_stale_layer_versions(conn) -> int:
|
||
"""Drop superseded EIA layer tables and remove stale catalog rows.
|
||
|
||
Superseded versions are identified by a normalized source key
|
||
(source_url without trailing /data). The newest entry is kept.
|
||
"""
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"""
|
||
with ranked as (
|
||
select
|
||
c.table_name,
|
||
row_number() over (
|
||
partition by coalesce(
|
||
nullif(regexp_replace(c.source_url, '/data/?$', ''), ''),
|
||
nullif(c.source_item_id, ''),
|
||
c.table_name
|
||
)
|
||
order by c.imported_at desc, c.table_name desc
|
||
) as rn
|
||
from public.energy_atlas_layers_catalog c
|
||
)
|
||
select r.table_name
|
||
from ranked r
|
||
where r.rn > 1
|
||
"""
|
||
)
|
||
stale_tables = [row[0] for row in cur.fetchall()]
|
||
|
||
pruned = 0
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
for table_name in stale_tables:
|
||
# Guardrail: only manage script-owned EIA tables.
|
||
if not table_name.startswith("energy_eia_"):
|
||
continue
|
||
|
||
cur.execute(
|
||
"""
|
||
select exists (
|
||
select 1
|
||
from information_schema.tables
|
||
where table_schema='public' and table_name=%s
|
||
)
|
||
""",
|
||
(table_name,),
|
||
)
|
||
table_exists = cur.fetchone()[0]
|
||
|
||
if table_exists:
|
||
cur.execute(
|
||
sql.SQL("drop table if exists public.{} cascade").format(
|
||
sql.Identifier(table_name)
|
||
)
|
||
)
|
||
print(f"pruned stale table public.{table_name}")
|
||
|
||
cur.execute(
|
||
"delete from public.energy_atlas_layers_catalog where table_name = %s",
|
||
(table_name,),
|
||
)
|
||
pruned += 1
|
||
|
||
return pruned
|
||
|
||
|
||
def prune_unselected_layers(conn, selected_table_names: List[str]) -> int:
|
||
"""Drop catalog/table entries that are not in the currently selected dataset set."""
|
||
selected = set(selected_table_names)
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"""
|
||
select table_name
|
||
from public.energy_atlas_layers_catalog
|
||
where table_name like 'energy_eia_%'
|
||
"""
|
||
)
|
||
existing = [row[0] for row in cur.fetchall()]
|
||
|
||
to_remove = [name for name in existing if name not in selected]
|
||
removed = 0
|
||
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
for table_name in to_remove:
|
||
cur.execute(
|
||
"""
|
||
select exists (
|
||
select 1
|
||
from information_schema.tables
|
||
where table_schema='public' and table_name=%s
|
||
)
|
||
""",
|
||
(table_name,),
|
||
)
|
||
table_exists = cur.fetchone()[0]
|
||
|
||
if table_exists:
|
||
cur.execute(
|
||
sql.SQL("drop table if exists public.{} cascade").format(
|
||
sql.Identifier(table_name)
|
||
)
|
||
)
|
||
print(f"pruned unselected table public.{table_name}")
|
||
|
||
cur.execute(
|
||
"delete from public.energy_atlas_layers_catalog where table_name = %s",
|
||
(table_name,),
|
||
)
|
||
removed += 1
|
||
|
||
return removed
|
||
|
||
|
||
FINAL_FLAT_TABLES = (
|
||
"energy_eia_operating_generator_capacity_flat",
|
||
"energy_eia_facility_fuel_flat",
|
||
"energy_eia_seds_flat",
|
||
)
|
||
|
||
|
||
def keep_only_target_flat_table(conn) -> int:
|
||
"""Drop all energy_eia_* tables except the final flat tables."""
|
||
with conn.cursor() as cur:
|
||
cur.execute(
|
||
"""
|
||
select table_name
|
||
from information_schema.tables
|
||
where table_schema='public'
|
||
and table_name like 'energy_eia_%%'
|
||
and table_name <> ALL(%s)
|
||
""",
|
||
(list(FINAL_FLAT_TABLES),),
|
||
)
|
||
to_drop = [row[0] for row in cur.fetchall()]
|
||
|
||
dropped = 0
|
||
with conn:
|
||
with conn.cursor() as cur:
|
||
for table_name in to_drop:
|
||
cur.execute(
|
||
sql.SQL("drop table if exists public.{} cascade").format(
|
||
sql.Identifier(table_name)
|
||
)
|
||
)
|
||
print(f"dropped non-target table public.{table_name}")
|
||
dropped += 1
|
||
|
||
return dropped
|
||
|
||
|
||
def parse_args():
|
||
"""Parse command-line arguments."""
|
||
parser = argparse.ArgumentParser(
|
||
description=(
|
||
"Ingest EIA energy infrastructure data via EIA API into PostGIS with GEOID linking."
|
||
)
|
||
)
|
||
parser.add_argument(
|
||
"--category",
|
||
choices=["power", "state_energy", "all"],
|
||
default="power",
|
||
help="Infrastructure category to ingest.",
|
||
)
|
||
parser.add_argument(
|
||
"--max-records",
|
||
type=int,
|
||
default=0,
|
||
help="Cap on API records to process per dataset (0=all).",
|
||
)
|
||
parser.add_argument(
|
||
"--endpoint",
|
||
action="append",
|
||
default=None,
|
||
help=(
|
||
"Limit ingest to specific EIA endpoint(s). "
|
||
"Repeatable. Substring match against api_endpoint. "
|
||
"Other datasets are skipped (not re-ingested, not pruned)."
|
||
),
|
||
)
|
||
parser.add_argument(
|
||
"--skip-ingest",
|
||
action="store_true",
|
||
help="Skip import; rebuild GEOID links/summary only.",
|
||
)
|
||
parser.add_argument(
|
||
"--list-only",
|
||
action="store_true",
|
||
help="List selected datasets and exit.",
|
||
)
|
||
parser.add_argument(
|
||
"--keep-stale-tables",
|
||
action="store_true",
|
||
help="Do not prune superseded EIA tables/catalog entries.",
|
||
)
|
||
return parser.parse_args()
|
||
|
||
|
||
def main():
|
||
"""Main ingestion pipeline."""
|
||
args = parse_args()
|
||
|
||
if not EIA_API_KEY:
|
||
print("ERROR: EIA_API_KEY not set. Export it and try again.")
|
||
sys.exit(1)
|
||
|
||
# Discover EIA datasets by category
|
||
datasets = get_eia_datasets(args.category)
|
||
|
||
if not datasets:
|
||
raise RuntimeError(f"No datasets found for category '{args.category}'")
|
||
|
||
if args.max_records > 0:
|
||
print(f"limiting to {args.max_records} records per dataset")
|
||
|
||
# Build ingest list with table names
|
||
datasets_to_ingest = []
|
||
for dataset in datasets:
|
||
if args.endpoint and not any(filt in dataset.api_endpoint for filt in args.endpoint):
|
||
continue
|
||
table_name = standardize_table_name(dataset.dataset_id)
|
||
datasets_to_ingest.append((dataset, table_name, dataset.category))
|
||
|
||
if args.list_only:
|
||
print(f"selected_datasets={len(datasets_to_ingest)}")
|
||
for dataset, table_name, category in datasets_to_ingest:
|
||
print(f"{category}\tpublic.{table_name}\t{dataset.name}\t{dataset.source_url}")
|
||
return
|
||
|
||
if not datasets_to_ingest:
|
||
raise RuntimeError("No datasets selected. Try --category all or --list-only.")
|
||
|
||
conn = connect_db()
|
||
try:
|
||
ensure_source_catalog_table(conn)
|
||
|
||
if not args.skip_ingest:
|
||
for dataset, table_name, category in datasets_to_ingest:
|
||
print(f"importing {dataset.name} -> public.{table_name} [{category}]")
|
||
success = import_layer_to_postgis(dataset, table_name, max_records=args.max_records)
|
||
if success:
|
||
upsert_layer_catalog(conn, table_name, dataset, category)
|
||
add_geom_index_and_analyze(conn, table_name)
|
||
|
||
# Pruning compares against the *full* selected set; skip when --endpoint
|
||
# is narrowing the run, otherwise we'd drop catalog entries for endpoints
|
||
# we deliberately chose not to touch.
|
||
if not args.endpoint:
|
||
selected_table_names = [table_name for _, table_name, _ in datasets_to_ingest]
|
||
removed = prune_unselected_layers(conn, selected_table_names)
|
||
if removed > 0:
|
||
print(f"pruned unselected layers: {removed}")
|
||
|
||
if not args.keep_stale_tables:
|
||
pruned = prune_stale_layer_versions(conn)
|
||
if pruned > 0:
|
||
print(f"pruned stale layer versions: {pruned}")
|
||
|
||
build_flat_tables(conn)
|
||
dropped_non_target = keep_only_target_flat_table(conn)
|
||
if dropped_non_target > 0:
|
||
print(f"dropped non-target energy tables: {dropped_non_target}")
|
||
|
||
with conn.cursor() as cur:
|
||
cur.execute("select count(*) from public.energy_atlas_layers_catalog")
|
||
catalog_count = cur.fetchone()[0]
|
||
counts = {}
|
||
for tbl in FINAL_FLAT_TABLES:
|
||
cur.execute(
|
||
"select to_regclass(%s) is not null",
|
||
(f"public.{tbl}",),
|
||
)
|
||
if cur.fetchone()[0]:
|
||
cur.execute(f"select count(*) from public.{tbl}")
|
||
counts[tbl] = cur.fetchone()[0]
|
||
else:
|
||
counts[tbl] = None
|
||
|
||
print(f"\ndone: catalog_layers={catalog_count}")
|
||
for tbl, n in counts.items():
|
||
print(f" {tbl}: {n if n is not None else 'missing'} rows")
|
||
finally:
|
||
conn.close()
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|