174 lines
6.8 KiB
Python
Executable File
174 lines
6.8 KiB
Python
Executable File
#! /usr/bin/env python3
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import psycopg2
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import requests
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import io
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import zipfile
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import datetime
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from config.db import db as config_db
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import threading
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class DwdScraper:
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def __init__(self, worker=1):
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self._worker = worker
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self._tasks = {}
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self._request_new_task = threading.Event()
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self._close = True
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def run(self):
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for n in range(self._worker):
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threading.Thread(target=self._run_scraper, kwargs={"id": n}, daemon=True).start()
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while self._close:
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self._request_new_task.wait()
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self._request_new_task.clear()
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print("Checking for waiting workers")
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for id, t in list(self._tasks.items()):
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if t["dwd_id"] is None:
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print("Worker {} needs a job".format(id))
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dwd_id = self.get_station_to_update()
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if dwd_id is not None:
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print("Worker {} got {}".format(id, dwd_id))
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self._tasks[id]["dwd_id"] = dwd_id
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self._tasks[id]["wait_for_dwd_id"].set()
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def _run_scraper(self, id):
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print("Worker {} spawned".format(id))
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while self._close:
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self._tasks[id] = {
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"wait_for_dwd_id": threading.Event(),
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"dwd_id": None
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}
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self._request_new_task.set()
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print(id, "Waits for new task")
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self._tasks[id]["wait_for_dwd_id"].wait()
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print(id, "Got task {}".format(self._tasks[id]["dwd_id"]))
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self._do_scrape(self._tasks[id]["dwd_id"])
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def _do_scrape(self, dwd_id):
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last_station = dwd_id
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r = requests.get('https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/daily/kl/recent/tageswerte_KL_' + str(last_station) + '_akt.zip', stream=True)
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print(dwd_id, "downloaded file")
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r.raise_for_status()
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zip = zipfile.ZipFile(io.BytesIO(r.content))
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files = zip.namelist()
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files_climate = [f for f in files if f.startswith("produkt_klima_")]
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with psycopg2.connect(config_db["uri"]) as conn:
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with conn.cursor() as cur:
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cur.execute("SELECT id, name, lat, lon, dwd_id, dwd_last_update FROM stations WHERE dwd_id = %s;", [last_station])
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current_station = cur.fetchone()
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curr_station_id = current_station[0]
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curr_station_dwd_id = current_station[4]
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is_first_line = True
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count = 0
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for line in zip.open(files_climate[0]):
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l = line.decode('utf-8').strip()
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if is_first_line:
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is_first_line = False
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continue
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count += 1
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b = {}
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b["dwd_id"], l = l.strip().split(";", 1)
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b["dwd_id"] = str(b["dwd_id"])
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b["date"], l = l.strip().split(";", 1)
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b["date"] = str(b["date"])
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b["date"] = datetime.date(int(b["date"][0:4]), int(b["date"][4:6]), int(b["date"][6:8]))
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b["qn_3"], l = l.strip().split(";", 1)
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b["qn_3"] = self.cleanup_value(int(b["qn_3"]))
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b["fx"], l = l.strip().split(";", 1)
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b["fx"] = self.cleanup_value(float(b["fx"]))
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b["fm"], l = l.strip().split(";", 1)
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b["fm"] = self.cleanup_value(float(b["fm"]))
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b["qn_4"], l = l.strip().split(";", 1)
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b["qn_4"] = self.cleanup_value(int(b["qn_4"]))
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b["rsk"], l = l.strip().split(";", 1)
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b["rsk"] = self.cleanup_value(float(b["rsk"]))
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b["rskf"], l = l.strip().split(";", 1)
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b["rskf"] = self.cleanup_value(int(b["rskf"]))
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b["sdk"], l = l.strip().split(";", 1)
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b["sdk"] = self.cleanup_value(float(b["sdk"]))
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b["shk_tag"], l = l.strip().split(";", 1)
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b["shk_tag"] = self.cleanup_value(float(b["shk_tag"]))
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b["nm"], l = l.strip().split(";", 1)
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b["nm"] = self.cleanup_value(float(b["nm"]))
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b["vpm"], l = l.strip().split(";", 1)
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b["vpm"] = self.cleanup_value(float(b["vpm"]))
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b["pm"], l = l.strip().split(";", 1)
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b["pm"] = self.cleanup_value(float(b["pm"]))
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b["tmk"], l = l.strip().split(";", 1)
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b["tmk"] = self.cleanup_value(float(b["tmk"]))
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b["upm"], l = l.strip().split(";", 1)
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b["upm"] = self.cleanup_value(float(b["upm"]))
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b["txk"], l = l.strip().split(";", 1)
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b["txk"] = self.cleanup_value(float(b["txk"]))
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b["tnk"], l = l.strip().split(";", 1)
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b["tnk"] = self.cleanup_value(float(b["tnk"]))
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b["tgk"], l = l.strip().split(";", 1)
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b["tgk"] = self.cleanup_value(float(b["tgk"]))
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cur.execute("SELECT id FROM climate WHERE station = %s AND date = %s; ", [curr_station_id, b["date"].isoformat()])
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if cur.rowcount == 0:
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cur.execute("INSERT INTO climate (station, date, qn_3, fx, fm, qn_4, rsk, rskf, sdk, shk_tag, nm, vpm, pm, tmk, upm, txk, tnk, tgk) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s);",
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[curr_station_id, b["date"].isoformat(), b["qn_3"], b["fx"], b["fm"], b["qn_4"], b["rsk"], b["rskf"], b["sdk"], b["shk_tag"], b["nm"], b["vpm"], b["pm"], b["tmk"], b["upm"], b["txk"], b["tnk"], b["tgk"]])
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if count % 20 == 0:
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print(dwd_id, "still updating")
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print(dwd_id, "finished import")
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cur.execute("UPDATE stations SET dwd_last_update = %s WHERE dwd_id = %s;", [datetime.datetime.today().isoformat(), last_station])
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conn.commit()
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print(dwd_id, "updated last change data")
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def get_station_to_update(self):
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"""
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Returns DWD ID of station that should get updated soon.
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"""
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with psycopg2.connect(config_db["uri"]) as conn:
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with conn.cursor() as cur:
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cur.execute("SELECT dwd_id FROM stations ORDER BY dwd_last_update ASC LIMIT %s", [self._worker + 1])
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stations = cur.fetchall()
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#print(stations)
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for station in stations:
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if station[0] not in [t["dwd_id"] for id, t in self._tasks.items()]:
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return station[0]
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return None
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def cleanup_value(self, v):
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if int(v) == -999:
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return None
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return v
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if __name__ == "__main__":
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DwdScraper(worker=8).run()
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