<jupyter_start><jupyter_text>Configuration_Initial steps to get the notebook ready to play nice with our repository. Do not delete this section._ Code formatting with [black](https://pypi.org/project/nb-black/).<jupyter_code>%load_ext lab_black<jupyter_output><empty_output><jupyter_text>Add our `utils` directory to the system's `$PATH` so we can import Python files from sibling directories.<jupyter_code>import os
import pathlib
this_dir = pathlib.Path(os.path.abspath(""))
data_dir = this_dir / "data"
import pytz
import glob
import json
import urllib
import requests
import regex as re
import pandas as pd
from datetime import datetime
from bs4 import BeautifulSoup<jupyter_output><empty_output><jupyter_text>Download Retrieve the page<jupyter_code>url = "https://services6.arcgis.com/rNuo8nvF17v2dPFX/arcgis/rest/services/COVID19_DashboardData/FeatureServer/0/query"
params = dict(f="json", where="0=0", outFields="*")
session = requests.Session()
r = session.get(url, headers={"User-Agent": "Mozilla/5.0"}, params=params)
data = r.json()<jupyter_output><empty_output><jupyter_text>Parse<jupyter_code>zips = data["features"]
dict_list = []
for item in zips:
    d = dict(item["attributes"])
    dict_list.append(d)
df = pd.DataFrame(dict_list)
df = df[df["Aggregate_Area"] == "No"]
df["Date_Reported"] = pd.to_datetime(df["Date_Reported"], unit="ms").dt.strftime(
    "%Y-%m-%d"
)<jupyter_output><empty_output><jupyter_text>Eliminate unneeded rows<jupyter_code>df = df[["Name", "Date_Reported", "Positive"]]
df.insert(0, "county", "Calaveras")<jupyter_output><empty_output><jupyter_text>Rename fields to standardized column headers<jupyter_code>df = df.rename(
    columns={
        "Name": "area",
        "Positive": "confirmed_cases",
        "Date_Reported": "county_date",
    }
)
df = df.astype({"confirmed_cases": int})<jupyter_output><empty_output><jupyter_text>Vet<jupyter_code>default_cc_len = 13
try:
    assert not len(df) < default_cc_len
except AssertionError:
    raise AssertionError("Calaveras County scraper: latest entry is missing row(s)")
try:
    assert not len(df) > default_cc_len
except AssertionError:
    raise AssertionError(
        "Calaveras County scraper: latest entry has more area(s) than previously reported"
    )<jupyter_output><empty_output><jupyter_text>Export<jupyter_code>tz = pytz.timezone("America/Los_Angeles")
today = datetime.now(tz).date()
slug = "calaveras"
df.to_csv(data_dir / slug / f"{today}.csv", index=False)<jupyter_output><empty_output><jupyter_text>Combine<jupyter_code>csv_list = [
    i
    for i in glob.glob(str(data_dir / slug / "*.csv"))
    if not str(i).endswith("timeseries.csv")
]
df_list = []
for csv in csv_list:
    if "manual" in csv:
        df = pd.read_csv(csv, parse_dates=["date"])
    else:
        file_date = csv.split("/")[-1].replace(".csv", "")
        df = pd.read_csv(csv, parse_dates=["county_date"])
        df["date"] = file_date
    df_list.append(df)
df = pd.concat(df_list).sort_values(["date", "area"])
df.to_csv(data_dir / slug / "timeseries.csv", index=False)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14276464875364195, 'fraction_numerical': 0.005503399158303658, 'mean_word_length': 5.702819956616052, 'pattern_counts': {'":': 5, '<': 38, '<?xml version=': 0, '>': 38, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '9', 'dir': 'jupyter-structured-clean-dedup', 'id': '229941', 'license': 'MIT', 'n_tokens_mistral': 1141, 'n_tokens_neox': 1110, 'n_words': 218, 'path': 'places/calaveras.ipynb', 'repo_name': 'datadesk/california-coronavirus-scrapers', 'size': '3089'}