j40-cejst-2/data/data-pipeline/data_pipeline/etl/sources/census/etl.py
Travis Newby 03a6d3c660
User Story 2152 – Clean up logging (#2155)
Update logging messages and message consistency

This update includes changes to the level of many log messages. Rather than everything being logged at the info level, it differentiates between debug, info, warning, and error messages. It also changes the default log level to info to avoid much of the noise previously in the logs.

It also removes many extra log messages, and adds additional decorators at the beginning of each pipeline run.
2023-02-08 13:08:55 -06:00

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import csv
import json
import subprocess
from enum import Enum
from pathlib import Path
import geopandas as gpd
from data_pipeline.etl.base import ExtractTransformLoad
from data_pipeline.etl.sources.census.etl_utils import get_state_fips_codes
from data_pipeline.utils import get_module_logger
from data_pipeline.utils import unzip_file_from_url
logger = get_module_logger(__name__)
class GeoFileType(Enum):
SHP = 1
GEOJSON = 2
CSV = 3
class CensusETL(ExtractTransformLoad):
SHP_BASE_PATH = ExtractTransformLoad.DATA_PATH / "census" / "shp"
GEOJSON_BASE_PATH = ExtractTransformLoad.DATA_PATH / "census" / "geojson"
CSV_BASE_PATH = ExtractTransformLoad.DATA_PATH / "census" / "csv"
GEOJSON_PATH = ExtractTransformLoad.DATA_PATH / "census" / "geojson"
NATIONAL_TRACT_CSV_PATH = CSV_BASE_PATH / "us.csv"
NATIONAL_TRACT_JSON_PATH = GEOJSON_BASE_PATH / "us.json"
GEOID_TRACT_FIELD_NAME: str = "GEOID10_TRACT"
def __init__(self):
# the fips_states_2010.csv is generated from data here
# https://www.census.gov/geographies/reference-files/time-series/geo/tallies.html
self.STATE_FIPS_CODES = get_state_fips_codes(self.DATA_PATH)
self.TRACT_PER_STATE: dict = {} # in-memory dict per state
self.TRACT_NATIONAL: list = [] # in-memory global list
def _path_for_fips_file(
self, fips_code: str, file_type: GeoFileType
) -> Path:
"""Get paths for associated geospatial files for the provided FIPS code
Args:
fips_code (str): the FIPS code for the region of interest
file_type (GeoFileType): the geo file type of interest
Returns:
Path on disk to the file_type file corresponding to this FIPS
"""
file_path: Path
if file_type == GeoFileType.SHP:
file_path = Path(
self.SHP_BASE_PATH
/ fips_code
/ f"tl_2010_{fips_code}_tract10.shp"
)
elif file_type == GeoFileType.GEOJSON:
file_path = Path(self.GEOJSON_BASE_PATH / f"{fips_code}.json")
elif file_type == GeoFileType.CSV:
file_path = Path(self.CSV_BASE_PATH / f"{fips_code}.csv")
return file_path
def _extract_shp(self, fips_code: str) -> None:
"""Download the SHP file for the provided FIPS code
Args:
fips_code (str): the FIPS code for the region of interest
Returns:
None
"""
shp_file_path = self._path_for_fips_file(fips_code, GeoFileType.SHP)
# check if file exists
if not shp_file_path.is_file():
tract_state_url = f"https://www2.census.gov/geo/tiger/TIGER2010/TRACT/2010/tl_2010_{fips_code}_tract10.zip"
unzip_file_from_url(
tract_state_url,
self.TMP_PATH,
self.DATA_PATH / "census" / "shp" / fips_code,
)
def extract(self) -> None:
logger.debug("Extracting census data")
for index, fips_code in enumerate(self.STATE_FIPS_CODES):
logger.debug(
f"Extracting shape for FIPS {fips_code} {index+1} of {len(self.STATE_FIPS_CODES)}"
)
self._extract_shp(fips_code)
def _transform_to_geojson(self, fips_code: str) -> None:
"""Convert the downloaded SHP file for the associated FIPS to geojson
Returns:
None
"""
shp_file_path = self._path_for_fips_file(fips_code, GeoFileType.SHP)
geojson_file_path = self._path_for_fips_file(
fips_code, GeoFileType.GEOJSON
)
if not geojson_file_path.is_file():
cmd = [
"ogr2ogr",
"-f",
"GeoJSON",
str(geojson_file_path),
str(shp_file_path),
]
subprocess.run(cmd, check=True)
def _generate_tract_table(self) -> None:
"""Generate Tract CSV table for pandas, load in memory
Returns:
None
"""
logger.debug("Transforming tracts")
for file in self.GEOJSON_BASE_PATH.iterdir():
if file.suffix == ".json":
logger.debug(f"Adding GEOID10 for file {file.name}")
with open(self.GEOJSON_BASE_PATH / file, encoding="utf-8") as f:
geojson = json.load(f)
for feature in geojson["features"]:
tractid10 = feature["properties"]["GEOID10"]
self.TRACT_NATIONAL.append(str(tractid10))
tractid10_state_id = tractid10[:2]
if not self.TRACT_PER_STATE.get(tractid10_state_id):
self.TRACT_PER_STATE[tractid10_state_id] = []
self.TRACT_PER_STATE[tractid10_state_id].append(
tractid10
)
def transform(self) -> None:
"""Download all census shape files from the Census FTP and extract the geojson
to generate national and by state Census tract CSVs and GeoJSONs
Returns:
None
"""
logger.debug("Transforming census data")
logger.debug("Transforming SHP files to GeoJSON")
for index, fips_code in enumerate(self.STATE_FIPS_CODES):
logger.debug(
f"Transforming FIPS {fips_code} to GeoJSON {index+1} of {len(self.STATE_FIPS_CODES)}"
)
self._transform_to_geojson(fips_code)
self._generate_tract_table()
def _load_into_state_csvs(self, fips_code: str) -> None:
"""Load state CSVs into individual CSV files
Args:
fips_code (str): the FIPS code for the region of interest
Returns:
None
"""
## write to individual state csv
tractid10_list = self.TRACT_PER_STATE[fips_code]
csv_path = self._path_for_fips_file(fips_code, GeoFileType.CSV)
with open(
csv_path, mode="w", newline="", encoding="utf-8"
) as cbg_csv_file:
tract_csv_file_writer = csv.writer(
cbg_csv_file,
delimiter=",",
quotechar='"',
quoting=csv.QUOTE_MINIMAL,
)
for tractid10 in tractid10_list:
tract_csv_file_writer.writerow(
[
tractid10,
]
)
def _load_national_csv(self):
"""Write national-level csv combining
Returns:
None
"""
logger.debug("Loading national US.csv")
if not self.NATIONAL_TRACT_CSV_PATH.is_file():
with open(
self.NATIONAL_TRACT_CSV_PATH,
mode="w",
newline="",
encoding="utf-8",
) as cbg_csv_file:
cbg_csv_file_writer = csv.writer(
cbg_csv_file,
delimiter=",",
quotechar='"',
quoting=csv.QUOTE_MINIMAL,
)
for geoid10 in self.TRACT_NATIONAL:
cbg_csv_file_writer.writerow(
[
geoid10,
]
)
def _load_national_geojson(self):
"""Create national geojson
Returns:
None
"""
logger.debug("Loading National GeoJson")
usa_df = gpd.GeoDataFrame()
for file_name in self.GEOJSON_BASE_PATH.rglob("*.json"):
logger.debug(f"Adding national GeoJSON file {file_name.name}")
state_gdf = gpd.read_file(file_name)
usa_df = usa_df.append(state_gdf)
usa_df = usa_df.to_crs(
"+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"
)
logger.debug("Saving national GeoJSON file")
usa_df.to_file(self.NATIONAL_TRACT_JSON_PATH, driver="GeoJSON")
def load(self) -> None:
"""Create state CSVs, National CSV, and National GeoJSON
Returns:
None
"""
logger.debug("Loading census data")
logger.debug("Loading individual state csv files")
for fips_code in self.TRACT_PER_STATE:
self._load_into_state_csvs(fips_code)
self._load_national_csv()
self._load_national_geojson()
logger.debug("Census data complete")