Issue 308 python linting (#443)

* 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

data/data-pipeline/etl/sources/ejscreen/etl.py

@@ -8,20 +8,22 @@ logger = get_module_logger(__name__)
 
 class EJScreenETL(ExtractTransformLoad):
     def __init__(self):
-        self.EJSCREEN_FTP_URL = "https://gaftp.epa.gov/EJSCREEN/2019/EJSCREEN_2019_StatePctile.csv.zip"
+        self.EJSCREEN_FTP_URL = (
+            "https://gaftp.epa.gov/EJSCREEN/2019/EJSCREEN_2019_StatePctile.csv.zip"
+        )
         self.EJSCREEN_CSV = self.TMP_PATH / "EJSCREEN_2019_StatePctiles.csv"
         self.CSV_PATH = self.DATA_PATH / "dataset" / "ejscreen_2019"
         self.df: pd.DataFrame
 
     def extract(self) -> None:
-        logger.info(f"Downloading EJScreen Data")
+        logger.info("Downloading EJScreen Data")
         super().extract(
             self.EJSCREEN_FTP_URL,
             self.TMP_PATH,
         )
 
     def transform(self) -> None:
-        logger.info(f"Transforming EJScreen Data")
+        logger.info("Transforming EJScreen Data")
         self.df = pd.read_csv(
             self.EJSCREEN_CSV,
             dtype={"ID": "string"},
@@ -31,7 +33,7 @@ class EJScreenETL(ExtractTransformLoad):
         )
 
     def load(self) -> None:
-        logger.info(f"Saving EJScreen CSV")
+        logger.info("Saving EJScreen CSV")
         # write nationwide csv
         self.CSV_PATH.mkdir(parents=True, exist_ok=True)
-        self.df.to_csv(self.CSV_PATH / f"usa.csv", index=False)
+        self.df.to_csv(self.CSV_PATH / "usa.csv", index=False)