Source code for cowidev.testing.incremental.togo

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 Togo(CountryTestBase): location: str = "Togo" units: str = "tests performed" source_label: str = "Ministry of Health" source_url: str = "https://covid19.gouv.tg/" source_url_ref: str = "https://covid19.gouv.tg/" regex: dict = { "date": r"(\d{1,2} \w+ 20\d{2})", "count": r"Nombre total ", }
[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""" elem = soup.find(text=re.compile(self.regex["count"])) count = elem.parent.parent.parent.parent.text return clean_count(count)
[docs] def _parse_date(self, soup: BeautifulSoup) -> str: """Parse date from soup""" date_str = soup.find("h2", text=re.compile(self.regex["date"])).text return extract_clean_date(date_str, self.regex["date"], "%d %B %Y", lang="fr")
[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)
[docs]def main(): Togo().export()