mirror of
https://github.com/DOI-DO/j40-cejst-2.git
synced 2025-02-24 10:34:18 -08:00
6f39033dde
* Add a rough prototype allowing a developer to pre-download data sources for all ETLs * Update code to be more production-ish * Move fetch to Extract part of ETL * Create a downloader to house all downloading operations * Remove unnecessary "name" in data source * Format source files with black * Fix issues from pylint and get the tests working with the new folder structure * Clean up files with black * Fix unzip test * Add caching notes to README * Fix tests (linting and case sensitivity bug) * Address PR comments and add API keys for census where missing * Merging comparator changes from main into this branch for the sake of the PR * Add note on using cache (-u) during pipeline
60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
import zipfile
|
|
|
|
import pandas as pd
|
|
from data_pipeline.config import settings
|
|
from data_pipeline.etl.base import ExtractTransformLoad
|
|
from data_pipeline.etl.base import ValidGeoLevel
|
|
from data_pipeline.utils import get_module_logger
|
|
from data_pipeline.etl.datasource import DataSource
|
|
|
|
logger = get_module_logger(__name__)
|
|
|
|
|
|
class ExampleETL(ExtractTransformLoad):
|
|
"""A test-only, simple implementation of the ETL base class.
|
|
|
|
This can be used for the base tests of the `TestETL` class.
|
|
"""
|
|
|
|
INPUT_FIELD_NAME = "Input Field 1"
|
|
EXAMPLE_FIELD_NAME = "Example Field 1"
|
|
|
|
NAME = "example_dataset"
|
|
LAST_UPDATED_YEAR = 2017
|
|
SOURCE_URL = "https://www.example.com/example.zip"
|
|
GEO_LEVEL = ValidGeoLevel.CENSUS_TRACT
|
|
LOAD_YAML_CONFIG: bool = True
|
|
|
|
def __init__(self):
|
|
self.COLUMNS_TO_KEEP = [
|
|
self.GEOID_TRACT_FIELD_NAME,
|
|
self.EXAMPLE_FIELD_NAME,
|
|
]
|
|
|
|
def get_data_sources(self) -> [DataSource]:
|
|
return []
|
|
|
|
def extract(self):
|
|
# Pretend to download zip from external URL, write it to CSV.
|
|
zip_file_path = (
|
|
settings.APP_ROOT
|
|
/ "tests"
|
|
/ "sources"
|
|
/ "example"
|
|
/ "data"
|
|
/ "input.zip"
|
|
)
|
|
|
|
with zipfile.ZipFile(zip_file_path, "r") as zip_ref:
|
|
zip_ref.extractall(self.get_sources_path())
|
|
|
|
def transform(self):
|
|
df: pd.DataFrame = pd.read_csv(
|
|
self.get_sources_path() / "input.csv",
|
|
dtype={self.GEOID_TRACT_FIELD_NAME: "string"},
|
|
low_memory=False,
|
|
)
|
|
|
|
df[self.EXAMPLE_FIELD_NAME] = df[self.INPUT_FIELD_NAME] * 2
|
|
|
|
self.output_df = df
|