Source code for cowidev.testing.incremental.morocco
import re
from bs4 import BeautifulSoup
import pandas as pd
from cowidev.utils import get_soup, clean_count
from cowidev.utils.clean import extract_clean_date
from cowidev.testing import CountryTestBase
[docs]class Morocco(CountryTestBase):
location: str = "Morocco"
units: str = "people tested"
source_label: str = "Ministry of Health"
source_url: str = "http://www.covidmaroc.ma/Pages/AccueilAR.aspx"
source_url_ref: str = "http://www.covidmaroc.ma/Pages/AccueilAR.aspx"
regex: dict = {
"date": r"00 (\d{1,2}\-\d{2}\-20\d{2})",
"count": r"\s+",
}
[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 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.find("table").find_all("span")[1].text
count = re.sub(self.regex["count"], "", text)
return clean_count(count)
[docs] def _parse_date(self, soup: BeautifulSoup) -> str:
"""Parse date from soup"""
date_str = soup.find("table").find("span").text.replace("\u200b", "")
return extract_clean_date(date_str, self.regex["date"], "%d-%m-%Y")
[docs] def pipeline(self, df: pd.DataFrame) -> pd.DataFrame:
"""Pipeline for data processing"""
return df.pipe(self.pipe_metadata)
[docs] def export(self):
"""Export data to csv"""
df = self.read().pipe(self.pipeline)
self.export_datafile(df, attach=True)