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47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
from __future__ import annotations
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import io
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from time import sleep
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from typing import Any
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import pandas as pd
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import requests
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from core.enums import ActivityName, ActivityRefType
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from data.activity_ref import ActivityRef
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from providers.activityrefdata.file_download_activity_ref_data_provider import FileDownloadActivityRefDataProvider
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class DCE(FileDownloadActivityRefDataProvider):
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"""Activity ref data provider for Diploma Castillos de España"""
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POLL_INTERVAL_DAYS = 365
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ACTIVITY = ActivityName.DCE
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DATA_URL = "https://www.acracb.org/dce/descargas/General/directorio_referencias_dce.xls"
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def __init__(self, provider_config: dict[str, Any]) -> None:
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super().__init__(self.ACTIVITY, provider_config, self.DATA_URL, self.POLL_INTERVAL_DAYS)
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def _http_response_to_data(self, http_response: requests.Response) -> list[ActivityRef]:
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new_data: list[ActivityRef] = []
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file_stream = io.BytesIO(http_response.content)
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df = pd.read_excel(file_stream, engine="xlrd", header=None)
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for index, row in df.iterrows():
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if row.iloc[0] and row.iloc[2]:
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new_data.append(
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ActivityRef(sig=self.ACTIVITY, id=row.iloc[0].strip(), name=row.iloc[2].strip(), ref_type=ActivityRefType.CASTLE)
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)
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# Bail out if a stop has been requested, i.e. the program is shutting down - no need to parse the rest of
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# the data in this case
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if self._stop_event.is_set():
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break
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# Very short pause. This will extend the time to handle activity refs by a few seconds but will ensure some time
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# is available for other threads e.g. the web server.
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sleep(0.001)
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return new_data
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