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https://git.ianrenton.com/ian/spothole.git
synced 2026-08-06 02:21:42 +00:00
Refactor of caching & data storage part 6 #118
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@@ -60,6 +60,14 @@ def get_solar_conditions_provider_from_config(config_providers_entry):
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return provider_class(config_providers_entry)
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def get_static_data_provider_from_config(config_providers_entry):
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"""Utility method to get a static reference data provider based on the class specified in its config entry."""
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module = importlib.import_module('staticdataproviders.' + config_providers_entry["class"].lower())
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provider_class = getattr(module, config_providers_entry["class"])
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return provider_class(config_providers_entry)
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def get_sig_ref_data_provider_from_config(config_providers_entry):
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"""Utility method to get a SIG reference data provider based on the class specified in its config entry."""
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+9
-4
@@ -22,6 +22,7 @@ class DataStore:
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self.alerts = None
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self.spots = None
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self.callsigns = None
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self.dxcc_data = None
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self.sigrefs = None
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self.status_data = None
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self._status = None
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@@ -42,10 +43,13 @@ class DataStore:
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self._status.add("status_data", {})
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self.status_data = self._status.get("status_data")
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# Standard disk cache for SIG ref data. Separate provider threads will repopulate theis on a regular basis
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# but there's no need for a TTL since old data is better than no data. We need to key on both SIG and reference,
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# and trying to do two layers of dict in diskcache absolutely destroys performance with unpickling huge dicts,
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# so we have an ugly "SIG:ref" syntax for keys to keep it a single level.
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# Standard disk cache for static reference and SIG ref data. Separate provider threads will repopulate these on
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# a regular basis but there's no need for a TTL since old data is better than no data.
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self.dxcc_data = diskcache.Cache(CACHE_DIR + "dxcc_data")
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# For SIG reference data specifically, we need to key on both SIG *and* reference, and trying to do two layers
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# of dict in diskcache absolutely destroys performance with unpickling huge dicts, so we have an ugly "SIG:ref"
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# syntax for keys to keep it a single level.
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self.sigrefs = diskcache.Cache(CACHE_DIR + "sigrefs")
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logging.info(f"Loaded data for %d SIG references.", len(self.sigrefs))
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@@ -73,6 +77,7 @@ class DataStore:
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self.alerts.close()
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self._solar.close()
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self._status.close()
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self.dxcc_data.close()
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self.sigrefs.close()
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self.callsigns.close()
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+4
-106
@@ -1,7 +1,5 @@
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import gzip
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import json
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import logging
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import re
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import urllib.parse
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from datetime import timedelta
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@@ -9,14 +7,13 @@ import xmltodict
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from diskcache import Cache
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from pyhamtools import LookupLib, Callinfo, callinfo
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from pyhamtools.exceptions import APIKeyMissingError
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from pyhamtools.frequency import freq_to_band
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from pyhamtools.locator import latlong_to_locator
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from requests.exceptions import ConnectionError, ReadTimeout, ConnectTimeout
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from requests_cache import CachedSession
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from core.config import config
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from core.constants import BANDS, UNKNOWN_BAND, CW_MODES, PHONE_MODES, DATA_MODES, ALL_MODES, \
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HTTP_HEADERS, HAMQTH_PRG, MODE_ALIASES
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from core.constants import HTTP_HEADERS, HAMQTH_PRG
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from core.data_store import DATA_STORE
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from core.url_data_cache import URLDataCache
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# QRZ XML field names differ from pyhamtools' normalised names; map them here.
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@@ -84,7 +81,6 @@ class LookupHelper:
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self._lookup_lib_basic = None
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self._country_files_cty_plist_download_location = None
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self._dxcc_json_download_location = None
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self._dxcc_data = None
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def start(self):
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# Lookup helpers from pyhamtools. We use five (!) of these. The simplest is country-files.com, which downloads
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@@ -118,22 +114,6 @@ class LookupHelper:
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filename=self._clublog_xml_download_location)
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self._clublog_callsign_data_cache = Cache('cache/clublog_callsign_lookup_cache')
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# We also get a lookup of DXCC data from K0SWE to use for additional lookups of e.g. flags.
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self._dxcc_json_download_location = "cache/dxcc.json"
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success = self._download_dxcc_json()
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if success:
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with open(self._dxcc_json_download_location) as f:
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tmp_dxcc_data = json.load(f)["dxcc"]
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# Reformat as a map for faster lookup
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self._dxcc_data = {}
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for dxcc in tmp_dxcc_data:
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self._dxcc_data[dxcc["entityCode"]] = dxcc
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else:
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logging.error("Could not download DXCC data, flags and similar data may be missing!")
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# Precompile regex matches for DXCCs to improve efficiency when iterating through them
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for dxcc in (self._dxcc_data.values() if self._dxcc_data else []):
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dxcc["_prefixRegexCompiled"] = re.compile(dxcc["prefixRegex"])
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def _download_country_files_cty_plist(self):
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"""Download the cty.plist file from country-files.com on first startup. The pyhamtools lib can actually download and use
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@@ -163,31 +143,6 @@ class LookupHelper:
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logging.error("Exception when downloading Clublog cty.xml", e)
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return False
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def _download_dxcc_json(self):
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"""Download the dxcc.json file on first startup."""
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try:
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logging.info("Downloading dxcc.json...")
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response = _URL_DATA_CACHE.get(
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"https://raw.githubusercontent.com/k0swe/dxcc-json/refs/heads/main/dxcc.json",
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headers=HTTP_HEADERS)
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if response.ok:
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with open(self._dxcc_json_download_location, "w") as f:
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f.write(response.text)
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f.flush()
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return True
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else:
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logging.warning(f"HTTP {response.status_code} when downloading dxcc.json.")
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return False
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except ConnectionError:
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logging.warning(f"Connection error when downloading dxcc.json.")
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except (ConnectTimeout, ReadTimeout):
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logging.warning(f"Timeout when downloading dxcc.json.")
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except Exception as e:
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logging.error("Exception when downloading dxcc.json", e)
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return False
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def _download_clublog_ctyxml(self):
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"""Download the cty.xml (gzipped) file from Clublog on first startup, so we can use it in preference to querying the
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@@ -374,7 +329,8 @@ class LookupHelper:
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def get_flag_for_dxcc(self, dxcc):
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"""Get an emoji flag for a given DXCC entity ID"""
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return self._dxcc_data[dxcc]["flag"] if dxcc in self._dxcc_data else None
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dxcc_data = DATA_STORE.dxcc_data[dxcc]
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return dxcc_data["flag"] if dxcc_data else None
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def infer_name_from_callsign_online_lookup(self, call, credentials=None):
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"""Infer an operator name from a callsign (requires QRZ.com/HamQTH)"""
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@@ -680,61 +636,3 @@ class LookupHelper:
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# Singleton object
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lookup_helper = LookupHelper()
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def infer_mode_from_comment(comment):
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"""Infer a mode from the comment"""
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for mode in ALL_MODES:
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if mode in comment.upper():
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return mode
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for mode in MODE_ALIASES.keys():
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if mode in comment.upper():
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return MODE_ALIASES[mode]
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return None
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def infer_mode_type_from_mode(mode):
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"""Infer a "mode family" from a mode."""
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if mode.upper() in CW_MODES:
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return "CW"
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elif mode.upper() in PHONE_MODES:
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return "PHONE"
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elif mode.upper() in DATA_MODES:
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return "DATA"
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else:
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if mode.upper() != "OTHER":
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logging.warning("Found an unrecognised mode: " + mode + ". Developer should categorise this.")
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return None
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def infer_band_from_freq(freq):
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"""Infer a band from a frequency in Hz"""
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for b in BANDS:
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if b.start_freq <= freq <= b.end_freq:
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return b
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return UNKNOWN_BAND
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def infer_mode_from_frequency(freq):
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"""Infer a mode from the frequency (in Hz) according to the band plan. Just a guess really."""
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try:
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khz = freq / 1000.0
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mode = freq_to_band(khz)["mode"]
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# Some additional common digimode ranges in addition to what the 3rd-party freq_to_band function returns.
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# This is mostly here just because freq_to_band is very specific about things like FT8 frequencies, and e.g.
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# a spot at 7074.5 kHz will be indicated as LSB, even though it's clearly in the FT8 range. Future updates
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# might include other common digimode centres of activity here, but this achieves the main goal of keeping
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# large numbers of clearly-FT* spots off the list of people filtering out digimodes.
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if (7074 <= khz < 7077) or (10136 <= khz < 10139) or (14074 <= khz < 14077) or (18100 <= khz < 18103) or (
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21074 <= khz < 21077) or (24915 <= khz < 24918) or (28074 <= khz < 28077):
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mode = "FT8"
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if (7047.5 <= khz < 7050.5) or (10140 <= khz < 10143) or (14080 <= khz < 14083) or (
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18104 <= khz < 18107) or (21140 <= khz < 21143) or (24919 <= khz < 24922) or (28180 <= khz < 28183):
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mode = "FT4"
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return mode
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except KeyError:
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return None
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@@ -15,7 +15,7 @@ class StatusReporter:
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"""Provides a timed update of the application's status data."""
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def __init__(self, run_interval, web_server, spot_providers, alert_providers, solar_condition_providers,
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sig_ref_data_providers):
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static_data_providers, sig_ref_data_providers):
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"""Constructor"""
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self._run_interval = run_interval
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@@ -23,6 +23,7 @@ class StatusReporter:
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self._spot_providers = spot_providers
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self._alert_providers = alert_providers
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self._solar_condition_providers = solar_condition_providers
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self._static_data_providers = static_data_providers
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self._sig_ref_data_providers = sig_ref_data_providers
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self._thread = None
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self._stop_event = Event()
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@@ -74,6 +75,11 @@ class StatusReporter:
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"last_updated": p.last_update_time.replace(
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tzinfo=pytz.UTC).timestamp() if p.last_update_time.year > 2000 else 0},
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self._solar_condition_providers))
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DATA_STORE.status_data["static_data_providers"] = list(
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map(lambda p: {"name": p.name, "enabled": p.enabled, "status": p.status,
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"last_updated": p.last_update_time.replace(
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tzinfo=pytz.UTC).timestamp() if p.last_update_time.year > 2000 else 0},
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self._static_data_providers))
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DATA_STORE.status_data["sig_ref_data_providers"] = list(
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map(lambda p: {"sig_name": p.sig_name, "enabled": p.enabled, "status": p.status,
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"last_updated": p.last_update_time.replace(
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+64
-1
@@ -1,8 +1,71 @@
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import logging
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import simplejson
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from pyhamtools.frequency import freq_to_band
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from core.constants import UNKNOWN_BAND, BANDS, CW_MODES, PHONE_MODES, DATA_MODES, MODE_ALIASES, ALL_MODES
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def safe_json_dumps(obj):
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"""Safe version of json.dumps that also converts objects to dicts so they can be output, and ignores NaN floats
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which are invalid in JSON."""
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return simplejson.dumps(obj, ensure_ascii=False, ignore_nan=True, default=lambda o: o.__dict__)
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return simplejson.dumps(obj, ensure_ascii=False, ignore_nan=True, default=lambda o: o.__dict__)
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def infer_mode_from_comment(comment):
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"""Infer a mode from the comment"""
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for mode in ALL_MODES:
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if mode in comment.upper():
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return mode
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for mode in MODE_ALIASES.keys():
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if mode in comment.upper():
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return MODE_ALIASES[mode]
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return None
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def infer_mode_type_from_mode(mode):
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"""Infer a "mode family" from a mode."""
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if mode.upper() in CW_MODES:
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return "CW"
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elif mode.upper() in PHONE_MODES:
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return "PHONE"
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elif mode.upper() in DATA_MODES:
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return "DATA"
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else:
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if mode.upper() != "OTHER":
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logging.warning("Found an unrecognised mode: " + mode + ". Developer should categorise this.")
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return None
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def infer_band_from_freq(freq):
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"""Infer a band from a frequency in Hz"""
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for b in BANDS:
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if b.start_freq <= freq <= b.end_freq:
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return b
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return UNKNOWN_BAND
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def infer_mode_from_frequency(freq):
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"""Infer a mode from the frequency (in Hz) according to the band plan. Just a guess really."""
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try:
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khz = freq / 1000.0
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mode = freq_to_band(khz)["mode"]
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# Some additional common digimode ranges in addition to what the 3rd-party freq_to_band function returns.
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# This is mostly here just because freq_to_band is very specific about things like FT8 frequencies, and e.g.
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# a spot at 7074.5 kHz will be indicated as LSB, even though it's clearly in the FT8 range. Future updates
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# might include other common digimode centres of activity here, but this achieves the main goal of keeping
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# large numbers of clearly-FT* spots off the list of people filtering out digimodes.
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if (7074 <= khz < 7077) or (10136 <= khz < 10139) or (14074 <= khz < 14077) or (18100 <= khz < 18103) or (
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21074 <= khz < 21077) or (24915 <= khz < 24918) or (28074 <= khz < 28077):
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mode = "FT8"
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if (7047.5 <= khz < 7050.5) or (10140 <= khz < 10143) or (14080 <= khz < 14083) or (
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18104 <= khz < 18107) or (21140 <= khz < 21143) or (24919 <= khz < 24922) or (28180 <= khz < 28183):
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mode = "FT4"
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return mode
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except KeyError:
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return None
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