Source code for cowidev.testing.batch.senegal
import pandas as pd
from cowidev.utils.web import request_json
from cowidev.utils.clean import clean_date_series, clean_count
from cowidev.testing import CountryTestBase
[docs]class Senegal(CountryTestBase):
location: str = "Senegal"
units: str = "tests performed"
source_label: str = "Ministry for Health and Social Action"
source_url: str = (
"https://services7.arcgis.com/Z6qiqUaS6ImjYL5S/arcgis/rest/services/tendance_nationale/FeatureServer/0/query"
)
source_url_ref: str = "http://www.sante.gouv.sn/"
rename_columns: dict = {
"attributes.Nombre_de_tests_realises": "Daily change in cumulative total",
"attributes.Date": "Date",
}
params: dict = {
"f": "json",
"where": "1=1",
"returnGeometry": False,
"spatialRel": "esriSpatialRelIntersects",
"outFields": "Date,Nombre_de_tests_realises",
"orderByFields": f"Date asc",
"resultOffset": 0,
"resultRecordCount": 32000,
"resultType": "standard",
}
[docs] def read(self) -> pd.DataFrame:
"""Reads data from source."""
data = request_json(self.source_url, params=self.params)
df = pd.json_normalize(data, record_path=["features"])
return df
[docs] def pipe_date(self, df: pd.DataFrame) -> pd.DataFrame:
"""Cleans date column"""
return df.assign(Date=clean_date_series(df["Date"], "%d/%m/%Y"))
[docs] def pipe_metrics(self, df: pd.DataFrame):
"""Pipes metrics"""
return df.assign(
**{
"Daily change in cumulative total": df["Daily change in cumulative total"].apply(clean_count),
}
)
[docs] def pipeline(self, df: pd.DataFrame) -> pd.DataFrame:
"""pipeline for data"""
return (
df.pipe(self.pipe_rename_columns)
.pipe(self.pipe_date)
.pipe(self.pipe_metrics)
.pipe(self.pipe_metadata)
.sort_values("Date")
)
[docs] def export(self):
"""Exports data to csv"""
df = self.read().pipe(self.pipeline)
self.export_datafile(df, attach=True)