Source code for cowidev.testing.incremental.myanmar

import re

from bs4 import BeautifulSoup
import pandas as pd

from cowidev.utils.web.scraping import request_json
from cowidev.utils import get_soup, clean_count, clean_date
from cowidev.testing import CountryTestBase


[docs]class Myanmar(CountryTestBase): location: str = "Myanmar" units: str = "samples tested" source_label: str = "Ministry of Health" source_url: str = "https://services7.arcgis.com/AB2LoFxJT2bJUJYC/arcgis/rest/services/CaseCount_130720/FeatureServer/0/query?f=json&where=1%3D1&returnGeometry=false&spatialRel=esriSpatialRelIntersects&outFields=*&outStatistics=%5B%7B%22statisticType%22%3A%22sum%22%2C%22onStatisticField%22%3A%22Tested%22%2C%22outStatisticFieldName%22%3A%22value%22%7D%5D&resultType=standard" source_url_ref: str = "https://mohs.gov.mm/Main/content/publication/2019-ncov" regex: dict = { "date": r"as of (\d{1,2}\-\d{1,2}\-20\d{2})", }
[docs] def read(self) -> pd.DataFrame: """Read data from source""" soup = get_soup(self.source_url_ref, verify=False) date = self._parse_date(soup) df = pd.DataFrame( { "Date": [date], } ) return df
[docs] def pipe_metrics(self, df: pd.DataFrame) -> pd.DataFrame: """Parse metrics from source""" data = request_json(self.source_url) count = data["features"][0]["attributes"]["value"] return df.assign(**{"Cumulative total": 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_metrics).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(): Myanmar().export()