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https://github.com/DOI-DO/j40-cejst-2.git
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5504528fdf
* Adds flake8, pylint, liccheck, flake8 to dependencies for data-pipeline * Sets up and runs black autoformatting * Adds flake8 to tox linting * Fixes flake8 error F541 f string missing placeholders * Fixes flake8 E501 line too long * Fixes flake8 F401 imported but not used * Adds pylint to tox and disables the following pylint errors: - C0114: module docstrings - R0201: method could have been a function - R0903: too few public methods - C0103: name case styling - W0511: fix me - W1203: f-string interpolation in logging * Adds utils.py to tox.ini linting, runs black on utils.py * Fixes import related pylint errors: C0411 and C0412 * Fixes or ignores remaining pylint errors (for discussion later) * Adds safety and liccheck to tox.ini
72 lines
1.8 KiB
Python
72 lines
1.8 KiB
Python
import os
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import csv
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from pathlib import Path
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import pandas as pd
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from config import settings
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from utils import (
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remove_files_from_dir,
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remove_all_dirs_from_dir,
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unzip_file_from_url,
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get_module_logger,
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)
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logger = get_module_logger(__name__)
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def reset_data_directories(data_path: Path) -> None:
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census_data_path = data_path / "census"
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# csv
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csv_path = census_data_path / "csv"
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remove_files_from_dir(csv_path, ".csv")
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# geojson
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geojson_path = census_data_path / "geojson"
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remove_files_from_dir(geojson_path, ".json")
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# shp
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shp_path = census_data_path / "shp"
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remove_all_dirs_from_dir(shp_path)
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def get_state_fips_codes(data_path: Path) -> list:
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fips_csv_path = data_path / "census" / "csv" / "fips_states_2010.csv"
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# check if file exists
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if not os.path.isfile(fips_csv_path):
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logger.info("Downloading fips from S3 repository")
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unzip_file_from_url(
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settings.AWS_JUSTICE40_DATA_URL + "/Census/fips_states_2010.zip",
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data_path / "tmp",
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data_path / "census" / "csv",
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)
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fips_state_list = []
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with open(fips_csv_path) as csv_file:
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csv_reader = csv.reader(csv_file, delimiter=",")
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line_count = 0
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for row in csv_reader:
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if line_count == 0:
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line_count += 1
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else:
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fips = row[0].strip()
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fips_state_list.append(fips)
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return fips_state_list
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def get_state_information(data_path: Path) -> pd.DataFrame:
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"""Load the full state file as a dataframe.
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Useful because of the state regional information.
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"""
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fips_csv_path = data_path / "census" / "csv" / "fips_states_2010.csv"
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df = pd.read_csv(fips_csv_path)
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# Left pad the FIPS codes with 0s
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df["fips"] = df["fips"].astype(str).apply(lambda x: x.zfill(2))
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return df
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