Source code for cowidev.testing.incremental.saint_kitts_nevis
from bs4 import BeautifulSoup, element
import pandas as pd
from cowidev.utils import get_soup, clean_count, clean_date
from cowidev.testing import CountryTestBase
[docs]class SaintKittsNevis(CountryTestBase):
location: str = "Saint Kitts and Nevis"
units: str = "people tested"
source_label: str = "Ministry of Health"
source_url: str = "https://covid19.gov.kn/src/stats2/"
source_url_ref: str = "https://covid19.gov.kn/src/stats2/"
regex: dict = {
"element": r"No. of Persons Tested",
}
[docs] def read(self) -> pd.DataFrame:
"""Read data from source"""
soup = get_soup(self.source_url)
df = self._parse_data(soup)
return df
[docs] def _parse_data(self, soup: BeautifulSoup) -> pd.DataFrame:
"""Parse data from soup"""
# Get the element
elem = soup.find(text=self.regex["element"]).parent
if not elem:
raise ValueError("Element not found, please update the script")
# Get the metrics
count = self._parse_metrics(elem)
# Get the date from soup
date = self._parse_date(soup)
df = pd.DataFrame(
{
"Date": [date],
"Cumulative total": [count],
}
)
return df
[docs] def _parse_metrics(self, elem: element.Tag) -> int:
"""Parse metrics from element"""
count = elem.find_next_sibling("td").text
return clean_count(count)
[docs] def _parse_date(self, soup: BeautifulSoup) -> str:
"""Parse date from soup"""
date = soup.find("p").text.lower()
return clean_date(date, "As of %B %d, %Y")
[docs] def pipeline(self, df: pd.DataFrame) -> pd.DataFrame:
"""Pipeline for data processing"""
return (
df.pipe(self.pipe_metadata)
.pipe(self.pipe_merge_current)
.drop_duplicates(subset=["Cumulative total"], keep="first")
)
[docs] def export(self):
"""Export data to csv"""
df = self.read().pipe(self.pipeline)
self.export_datafile(df)