Initial Commit
Hofei90
5 years ago
parent
71aea7c242
commit
362ef48409
@ -0,0 +1,48 @@
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import toml
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import os
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import db_model as db
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import requests
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import json
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from peewee import SqliteDatabase
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import datetime
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def config_laden():
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configfile = os.path.join(SKRIPTPFAD, "config.toml")
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with open(configfile) as file:
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return toml.loads(file.read())
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SKRIPTPFAD = os.path.abspath(os.path.dirname(__file__))
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CONFIG = config_laden()
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def headers_erstellen():
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headers = {"Authorization": "Bearer {token}".format(token=CONFIG["token"]),
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"Prefer": "resolution=merge-duplicates"}
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return headers
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def tabelle_auslesen(tabelle, headers):
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url = f"{CONFIG['url']}{tabelle}"
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r = requests.get(url, headers=headers)
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erg = json.loads(r.text)
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return erg
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def main():
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db.DATABASE.initialize(SqliteDatabase(os.path.join(SKRIPTPFAD, "corona.db3")))
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db.create_tables()
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headers = headers_erstellen()
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erg = tabelle_auslesen(CONFIG['tablename_countryliste'], headers)
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for data_dict in erg:
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db.CoronaCountry.create(**data_dict)
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erg = tabelle_auslesen(CONFIG["tablename_daten"], headers)
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for data_dict in erg:
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data_dict["ts"] = datetime.datetime.strptime(data_dict["ts"], "%Y-%m-%dT%H:%M:%S")
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db.CoronaDaten.create(**data_dict)
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main()
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@ -0,0 +1,86 @@
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import toml
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import os
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import db_model as db
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from peewee import SqliteDatabase, IntegrityError, PostgresqlDatabase
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from sshtunnel import SSHTunnelForwarder
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def config_laden():
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configfile = os.path.join(SKRIPTPFAD, "config.toml")
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with open(configfile) as file:
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return toml.loads(file.read())
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SKRIPTPFAD = os.path.abspath(os.path.dirname(__file__))
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CONFIG = config_laden()
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QUELLEN = ["jhu", "who", "rki"]
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def alle_country_vereinheitlichen():
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print("Betrete country vereinheitlichen")
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country_dict = {}
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for datensatz in db.CoronaCountry.select():
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neuer_name = datensatz.country_region.lower().capitalize()
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print(neuer_name)
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try:
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if neuer_name not in country_dict[datensatz.quelle]:
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country_dict[datensatz.quelle].append(neuer_name)
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except KeyError:
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country_dict[datensatz.quelle] = [neuer_name]
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with db.database.atomic() as transaction:
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try:
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db.CoronaDaten.update(country_region=neuer_name).where(
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db.CoronaDaten.country_region == datensatz.country_region).execute()
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print(neuer_name, datensatz.country_region)
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except IntegrityError:
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print("Fehler")
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transaction.rollback()
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print("Schleife Beendet")
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db.CoronaCountry.delete().execute()
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with db.database.atomic():
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print("CountryCreate")
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for quelle, countrys in country_dict.items():
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print(quelle, countrys)
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for country in countrys:
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db.CoronaCountry.create(country_region=country, quelle=quelle)
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def country_umbennnen():
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quelle = input("Quelle eingeben: ")
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name_altes_land = input("Name der alten Bezeichnung des Landes eingeben: ")
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name_neues_land = input("Name der neuen Bezeichnung des Landes eingeben: ")
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anzahl_daten = db.CoronaCountry.select().where(
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(db.CoronaCountry.country_region == name_neues_land) & (db.CoronaCountry.quelle == quelle)
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).count()
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if anzahl_daten > 0:
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db.CoronaCountry.delete().where(
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db.CoronaCountry.country_region == name_altes_land
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).execute()
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else:
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db.CoronaCountry.update(country_region=name_neues_land).where(
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db.CoronaCountry.country_region == name_altes_land
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).execute()
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try:
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db.CoronaDaten.update(country_region=name_neues_land).where(
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db.CoronaDaten.country_region == name_altes_land
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).execute()
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except IntegrityError:
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db.CoronaDaten.delete().where(
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db.CoronaDaten.country_region == name_altes_land
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).execute()
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def main():
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with SSHTunnelForwarder(
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(CONFIG["ssh"]["ip_server"], CONFIG["ssh"]["ssh_port"]), ssh_username=CONFIG["ssh"]["user"],
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ssh_password=CONFIG["ssh"]["pw"], remote_bind_address=('127.0.0.1', CONFIG["pg"]["pgport"])) as server:
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db.database.initialize(PostgresqlDatabase(CONFIG["pg"]["pgdb"],
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user=CONFIG["pg"]["pguser"], password=CONFIG["pg"]["pgpw"],
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host="127.0.0.1",
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port=server.local_bind_port))
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country_umbennnen()
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main()
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@ -0,0 +1,44 @@
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from peewee import *
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database = Proxy()
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class UnknownField(object):
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def __init__(self, *_, **__): pass
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class BaseModel(Model):
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class Meta:
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database = database
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class CoronaCountry(BaseModel):
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country_region = TextField(primary_key=True)
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quelle = TextField(null=True)
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class Meta:
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table_name = 'corona_country'
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class CoronaDaten(BaseModel):
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active = IntegerField(null=True)
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confirmed = IntegerField(null=True)
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country_region = TextField()
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deaths = IntegerField(null=True)
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quelle = TextField(null=True)
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recoverd = IntegerField(null=True)
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ts = DateTimeField()
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class Meta:
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table_name = 'corona_daten'
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indexes = (
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(('ts', 'country_region'), True),
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)
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primary_key = CompositeKey('country_region', 'ts')
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def create_tables():
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database.create_tables([CoronaCountry, CoronaDaten])
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@ -0,0 +1,44 @@
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from dataclasses import dataclass
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from dataclasses_json import dataclass_json
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import datetime
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import requests
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@dataclass_json
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@dataclass
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class CoronaDaten:
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ts: datetime.datetime or str
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country_region: str
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quelle: str
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confirmed: int
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deaths: int
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recoverd: int
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active: int
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@dataclass_json
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@dataclass
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class CoronaCountry:
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country_region: str
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quelle: str
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def sende_daten(url, table, headers, daten):
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url = f"{url}{table}"
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for data in daten:
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try:
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r = requests.post(url, headers=headers, json=data.to_dict())
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except AttributeError:
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r = requests.post(url, headers=headers, data=data)
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status_auswerten(r, daten)
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def status_auswerten(r, daten):
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if not (r.status_code == 200 or r.status_code == 201):
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print(f"Statuscode: {r.status_code}\n Message: {r.text}")
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print(daten)
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else:
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print("Erfolgreich übertragen")
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@ -0,0 +1,16 @@
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import requests
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from bs4 import BeautifulSoup
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countrys = ["Germany"]
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URL = "https://countrymeters.info/en/"
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def scrape_bev(land):
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r = requests.get(f"{URL}{land}")
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soup = BeautifulSoup(r.text, features="html5lib")
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table = soup.find("div", {"id": "cp1"})
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print(table)
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scrape_bev("Germany")
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@ -0,0 +1,158 @@
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"""
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Quellen:
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Johns Hopkins University:
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https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
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https://services1.arcgis.com/0MSEUqKaxRlEPj5g/arcgis/rest/services/ncov_cases/FeatureServer/1/query?f=json&where=Confirmed%20%3E%200&returnGeometry=false&spatialRel=esriSpatialRelIntersects&outFields=*&orderByFields=Confirmed%20desc%2CCountry_Region%20asc%2CProvince_State%20asc&resultOffset=0&resultRecordCount=250&cacheHint=true
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WHO:
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https://experience.arcgis.com/experience/685d0ace521648f8a5beeeee1b9125cd
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https://services.arcgis.com/5T5nSi527N4F7luB/arcgis/rest/services/Cases_by_country_Plg_V3/FeatureServer/0/query?f=json&where=1%3D1&returnGeometry=false&spatialRel=esriSpatialRelIntersects&outFields=*&orderByFields=cum_conf%20desc&resultOffset=0&resultRecordCount=125&cacheHint=true
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Deutschland RKI:
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https://experience.arcgis.com/experience/478220a4c454480e823b17327b2bf1d4
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https://services7.arcgis.com/mOBPykOjAyBO2ZKk/arcgis/rest/services/Coronaf%C3%A4lle_in_den_Bundesl%C3%A4ndern/FeatureServer/0/query?f=json&where=1%3D1&returnGeometry=false&spatialRel=esriSpatialRelIntersects&outFields=*&orderByFields=faelle_100000_EW%20desc&resultOffset=0&resultRecordCount=50&cacheHint=true
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"""
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import json
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import requests
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import db_model_postgrest as db
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import toml
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import os
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import datetime
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QUELLEN = {
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"jhu": "https://services1.arcgis.com/0MSEUqKaxRlEPj5g/arcgis/rest/services/ncov_cases/FeatureServer/1/query?f"
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"=json&where=Confirmed%20%3E%200&returnGeometry=false&spatialRel=esriSpatialRelIntersects&outFields"
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"=*&orderByFields=Confirmed%20desc%2CCountry_Region%20asc%2CProvince_State%20asc&resultOffset=0"
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"&resultRecordCount=250&cacheHint=true",
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"who": "https://services.arcgis.com/5T5nSi527N4F7luB/arcgis/rest/services/Cases_by_country_Plg_V3/FeatureServer/0"
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"/query?f=json&where=1%3D1&returnGeometry=false&spatialRel=esriSpatialRelIntersects&outFields"
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"=*&orderByFields=cum_conf%20desc&resultOffset=0&resultRecordCount=125&cacheHint=true",
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"rki": "https://services7.arcgis.com/mOBPykOjAyBO2ZKk/arcgis/rest/services/Coronaf%C3%A4lle_in_den_Bundesl%C3"
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"%A4ndern/FeatureServer/0/query?f=json&where=1%3D1&returnGeometry=false&spatialRel"
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"=esriSpatialRelIntersects&outFields=*&orderByFields=faelle_100000_EW%20desc&resultOffset=0"
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"&resultRecordCount=50&cacheHint=true "
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}
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def config_laden():
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configfile = os.path.join(SKRIPTPFAD, "config.toml")
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with open(configfile) as file:
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return toml.loads(file.read())
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SKRIPTPFAD = os.path.abspath(os.path.dirname(__file__))
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CONFIG = config_laden()
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def daten_abrufen(url):
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response = requests.get(url)
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json_text = json.loads(response.text)
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return json_text["features"]
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def jhu_daten_erstellen(quelle, daten):
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daten_dict = {}
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for data in daten:
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datum = data["attributes"]
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country = datum["Country_Region"].replace(" ", "")
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if country in daten_dict:
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datensatz = daten_dict[country]
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datensatz.ts = max(datensatz.ts, datetime.datetime.fromtimestamp(datum["Last_Update"] / 1000))
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datensatz.confirmed = datensatz.confirmed + datum["Confirmed"]
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datensatz.deaths = datensatz.deaths + datum["Deaths"]
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datensatz.recoverd = datensatz.recoverd + datum["Recovered"]
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datensatz.active = datensatz.confirmed - datensatz.deaths - datensatz.recoverd
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daten_dict[country] = datensatz
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else:
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daten_dict[country] = (db.CoronaDaten(
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datetime.datetime.fromtimestamp(datum["Last_Update"] / 1000),
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country.lower().capitalize(),
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quelle,
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datum["Confirmed"],
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datum["Deaths"],
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datum["Recovered"],
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datum["Confirmed"] - datum["Deaths"] - datum["Recovered"]
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))
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return daten_dict
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def who_daten_erstellen(quelle, daten):
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daten_dict = {}
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for data in daten:
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datum = data["attributes"]
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daten_dict[datum["ADM0_NAME"]] = (db.CoronaDaten(
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datetime.datetime.fromtimestamp(datum["DateOfReport"] / 1000),
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datum["ADM0_NAME"].lower().capitalize(),
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quelle,
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datum["cum_conf"],
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datum["cum_death"],
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-1,
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-1
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))
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return daten_dict
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def rki_daten_erstellen(quelle, daten):
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daten_dict = {}
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for data in daten:
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datum = data["attributes"]
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daten_dict[datum["LAN_ew_GEN"]] = (db.CoronaDaten(
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datetime.datetime.fromtimestamp(datum["Aktualisierung"] / 1000),
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datum["LAN_ew_GEN"].lower().capitalize(),
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quelle,
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datum["Fallzahl"],
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datum["Death"],
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-1,
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-1
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))
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return daten_dict
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def daten_erstellen(quelle, daten):
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if quelle == "jhu":
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daten_db = jhu_daten_erstellen(quelle, daten)
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elif quelle == "who":
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daten_db = who_daten_erstellen(quelle, daten)
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elif quelle == "rki":
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daten_db = rki_daten_erstellen(quelle, daten)
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else:
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raise ValueError("Quelle nicht bekannt")
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return daten_db
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def daten_trennen(daten):
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daten_liste = []
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for _, value in daten.items():
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value.ts = value.ts.strftime("%Y-%m-%d %H:%M:%S")
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daten_liste.append(value)
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return daten_liste
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def country_liste_erstellen(quelle, daten):
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country_liste = []
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for key in daten.keys():
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country_liste.append(db.CoronaCountry(key, quelle))
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return country_liste
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def headers_erstellen():
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headers = {"Authorization": "Bearer {token}".format(token=CONFIG["token"]),
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"Prefer": "resolution=ignore-duplicates"}
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return headers
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def main():
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headers = headers_erstellen()
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for quelle, url in QUELLEN.items():
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json_daten = daten_abrufen(url)
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daten = daten_erstellen(quelle, json_daten)
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country_liste = country_liste_erstellen(quelle, daten)
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daten_server = daten_trennen(daten)
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db.sende_daten(CONFIG["url"], CONFIG["tablename_countryliste"], headers, country_liste)
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db.sende_daten(CONFIG["url"], CONFIG["tablename_daten"], headers, daten_server)
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if __name__ == "__main__":
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main()
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@ -0,0 +1,80 @@
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import toml
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import os
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import db_model as db
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from peewee import SqliteDatabase
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from peewee import fn
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import datetime
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def config_laden():
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configfile = os.path.join(SKRIPTPFAD, "config.toml")
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with open(configfile) as file:
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return toml.loads(file.read())
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SKRIPTPFAD = os.path.abspath(os.path.dirname(__file__))
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CONFIG = config_laden()
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QUELLEN = ["jhu", "who", "rki"]
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def verdoppelungsrate_ermitteln(quelle, land, confirmed, confirmed_ts):
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halbe_infizierte = confirmed / 2
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ts_halbe = db.CoronaDaten.select(db.CoronaDaten.ts).where(
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(db.CoronaDaten.quelle == quelle) & (db.CoronaDaten.country_region == land) &
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(db.CoronaDaten.confirmed < halbe_infizierte)).order_by(db.CoronaDaten.confirmed.desc()).limit(1).scalar()
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try:
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verdoppelungstage = (confirmed_ts - ts_halbe).total_seconds()
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except TypeError:
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verdoppelungstage = None
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return verdoppelungstage
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def letzte_verdopplungsrate(quelle, land):
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query = db.CoronaDaten.select(db.CoronaDaten.ts, fn.max(db.CoronaDaten.confirmed).alias("confirmed")).where(
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(db.CoronaDaten.quelle == quelle) & (db.CoronaDaten.country_region == land)).dicts()
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for datensatz in query:
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verdoppelung = verdoppelungsrate_ermitteln(quelle, land, datensatz["confirmed"], datensatz["ts"])
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print(verdoppelung)
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def durchschnittliche_verdoppelungsrate(quelle, land):
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query = db.CoronaDaten.select(db.CoronaDaten.ts, db.CoronaDaten.confirmed).where(
|
||||
(db.CoronaDaten.quelle == quelle) & (db.CoronaDaten.country_region == land)
|
||||
).namedtuples()
|
||||
|
||||
verdoppelungsraten = []
|
||||
for datensatz in query:
|
||||
verdoppelungsrate = verdoppelungsrate_ermitteln(quelle, land, datensatz.confirmed, datensatz.ts)
|
||||
if verdoppelungsrate is not None:
|
||||
verdoppelungsraten.append(verdoppelungsrate)
|
||||
durchschnitt = sum(verdoppelungsraten) / len(verdoppelungsraten)
|
||||
print(verdoppelungsrate_in_tagen(durchschnitt))
|
||||
|
||||
|
||||
def jede_verdoppelungsrate(quelle, land):
|
||||
query = db.CoronaDaten.select(db.CoronaDaten.ts, db.CoronaDaten.confirmed).where(
|
||||
(db.CoronaDaten.quelle == quelle) & (db.CoronaDaten.country_region == land)
|
||||
).order_by(db.CoronaDaten.ts.desc()).namedtuples()
|
||||
for datensatz in query:
|
||||
verdoppelungsrate = verdoppelungsrate_ermitteln(quelle, land, datensatz.confirmed, datensatz.ts)
|
||||
print(f"Verdoppelungsrate am {datensatz.ts}: {verdoppelungsrate_in_tagen(verdoppelungsrate)}")
|
||||
|
||||
|
||||
def verdoppelungsrate_in_tagen(verdoppelungsrate):
|
||||
try:
|
||||
return verdoppelungsrate / (60 * 60 * 24)
|
||||
except TypeError:
|
||||
return None
|
||||
|
||||
|
||||
def main():
|
||||
db.DATABASE.initialize(SqliteDatabase(os.path.join(SKRIPTPFAD, "corona.db3")))
|
||||
for quelle in QUELLEN:
|
||||
query = db.CoronaCountry.select().where(db.CoronaCountry.quelle == quelle)
|
||||
for datensatz in query:
|
||||
if quelle == "jhu" and datensatz.country_region == "Germany":
|
||||
jede_verdoppelungsrate(quelle, datensatz.country_region)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Loading…
Reference in New Issue