Source code for cowidev.testing.incremental.north_macedonia
import re
from bs4 import BeautifulSoup
import pandas as pd
from cowidev.utils import get_soup, clean_count, clean_date
from cowidev.testing import CountryTestBase
[docs]class NorthMacedonia(CountryTestBase):
location: str = "North Macedonia"
units: str = "tests performed"
source_label: str = "Ministry of Health"
source_url: str = "https://koronavirus.gov.mk/vesti"
source_url_ref: str = "https://koronavirus.gov.mk/vesti"
regex: dict = {
"date": r"(\d{1,2}.\d{2}.\d{4})",
"count": r"Досега во земјата се направени вкупно (\d+)",
}
[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 article URL
link = soup.find("article", {"class": "category-izvestuvanja"}).find("a")["href"]
if not link:
raise ValueError("Article not found, please update the script")
self.source_url_ref = link
soup = get_soup(link)
# Get the metrics
count = self._parse_metrics(soup)
# Get the date
date = self._parse_date(soup)
df = pd.DataFrame(
{
"Date": [date],
"Cumulative total": [count],
}
)
return df
[docs] def _parse_metrics(self, soup: BeautifulSoup) -> int:
"""Parse metrics from soup"""
text = soup.get_text()
text = re.sub(r"(\d)\.(\d)", r"\1\2", text)
count = re.search(self.regex["count"], text).group(1)
return clean_count(count)
[docs] def _parse_date(self, soup: BeautifulSoup) -> str:
"""Parse date from soup"""
text = soup.get_text()
date = re.search(self.regex["date"], text).group(1)
return clean_date(date, "%d.%m.%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)