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https://github.com/DOI-DO/j40-cejst-2.git
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03a6d3c660
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.
80 lines
2.2 KiB
Python
80 lines
2.2 KiB
Python
from pathlib import Path
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import geopandas as gpd
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import pandas as pd
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from data_pipeline.config import settings
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from data_pipeline.etl.base import ExtractTransformLoad
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from data_pipeline.etl.base import ValidGeoLevel
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from data_pipeline.etl.sources.geo_utils import add_tracts_for_geometries
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from data_pipeline.utils import get_module_logger
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logger = get_module_logger(__name__)
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class AbandonedMineETL(ExtractTransformLoad):
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"""Data from Office Of Surface Mining Reclamation and Enforcement's
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eAMLIS. These are the locations of abandoned mines.
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"""
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# Metadata for the baseclass
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NAME = "eamlis"
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GEO_LEVEL = ValidGeoLevel.CENSUS_TRACT
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AML_BOOLEAN: str
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LOAD_YAML_CONFIG: bool = True
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PUERTO_RICO_EXPECTED_IN_DATA = False
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EXPECTED_MISSING_STATES = [
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"10",
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"11",
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"12",
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"15",
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"23",
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"27",
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"31",
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"33",
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"34",
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"36",
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"45",
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"50",
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"55",
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]
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# Define these for easy code completion
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def __init__(self):
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self.SOURCE_URL = (
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settings.AWS_JUSTICE40_DATASOURCES_URL
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+ "/eAMLIS export of all data.tsv.zip"
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)
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self.TRACT_INPUT_COLUMN_NAME = self.INPUT_GEOID_TRACT_FIELD_NAME
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self.OUTPUT_PATH: Path = (
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self.DATA_PATH / "dataset" / "abandoned_mine_land_inventory_system"
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)
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self.COLUMNS_TO_KEEP = [
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self.GEOID_TRACT_FIELD_NAME,
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self.AML_BOOLEAN,
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]
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self.output_df: pd.DataFrame
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def transform(self) -> None:
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df = pd.read_csv(
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self.get_tmp_path() / "eAMLIS export of all data.tsv",
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sep="\t",
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low_memory=False,
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)
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gdf = gpd.GeoDataFrame(
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df,
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geometry=gpd.points_from_xy(
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x=df["Longitude"],
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y=df["Latitude"],
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),
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crs="epsg:4326",
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)
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gdf = gdf.drop_duplicates(subset=["geometry"], keep="last")
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gdf_tracts = add_tracts_for_geometries(gdf)
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gdf_tracts = gdf_tracts.drop_duplicates(self.GEOID_TRACT_FIELD_NAME)
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gdf_tracts[self.AML_BOOLEAN] = True
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self.output_df = gdf_tracts[self.COLUMNS_TO_KEEP]
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