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45 lines
1.9 KiB
Python
45 lines
1.9 KiB
Python
import logging
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from datetime import datetime
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import pytz
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from data.spot import Spot
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from providers.http_provider import HTTPProvider
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# Provider for Parks n Peaks
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class ParksNPeaks(HTTPProvider):
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POLL_INTERVAL_SEC = 120
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SPOTS_URL = "https://www.parksnpeaks.org/api/ALL"
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def __init__(self):
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super().__init__(self.SPOTS_URL, self.POLL_INTERVAL_SEC)
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def name(self):
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return "ParksNPeaks"
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def http_response_to_spots(self, http_response):
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new_spots = []
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# Iterate through source data
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for source_spot in http_response.json():
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# Convert to our spot format
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spot = Spot(source=self.name(),
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source_id=source_spot["actID"],
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dx_call=source_spot["actCallsign"].upper(),
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de_call=source_spot["actSpoter"].upper(), # typo exists in API
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freq=float(source_spot["actFreq"]) * 1000 if (source_spot["actFreq"] != "") else None, # Seen PNP spots with empty frequency!
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mode=source_spot["actMode"].upper(),
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comment=source_spot["actComments"],
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sig=source_spot["actClass"],
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sig_refs=[source_spot["actSiteID"]],
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time=datetime.strptime(source_spot["actTime"], "%Y-%m-%d %H:%M:%S").replace(tzinfo=pytz.UTC))
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# If this is POTA, SOTA or WWFF data we already have it through other means, so ignore.
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if spot.sig not in ["POTA", "SOTA", "WWFF"]:
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logging.warn("PNP spot found with sig " + spot.sig + ", developer needs to figure out how to look this up for grid/lat/lon!")
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# Fill in any missing data
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spot.infer_missing()
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# Add to our list. Don't worry about de-duping, removing old spots etc. at this point; other code will do
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# that for us.
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new_spots.append(spot)
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return new_spots |