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add a new multi-checkbox to select background detection services

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This commit is contained in:
Jakob Ketterl
2020-03-29 19:50:37 +02:00
parent 056a8a3289
commit 199dfe106a
2 changed files with 104 additions and 25 deletions
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44
owrx/controllers/settings.py
View File

@@ -1,6 +1,7 @@
from abc import ABC, abstractmethod
from .admin import AdminController
from owrx.config import Config
from owrx.service import ServiceDetector
from urllib.parse import parse_qs
import logging
@@ -109,6 +110,48 @@ class CheckboxInput(Input):
return {self.id: self.id in data and data[self.id][0] == "on"}
class MultiCheckboxInput(Input):
def __init__(self, id, label, options, infotext=None):
super().__init__(id, label, infotext=infotext)
self.options = options
def render_input(self, value):
return "".join(self.render_checkbox(o, value) for o in self.options)
def checkbox_id(self, option):
return "{0}-{1}".format(self.id, option.value)
def render_checkbox(self, option, value):
return """
<div class="{classes}">
<input class="form-check-input" type="checkbox" id="{id}" name="{id}" {checked}>
<label class="form-check-label" for="{id}">
{checkboxText}
</label>
</div>
""".format(
id=self.checkbox_id(option),
classes=self.input_classes(),
checked="checked" if option.value in value else "",
checkboxText=option.text
)
def parse(self, data):
def in_response(option):
boxid = self.checkbox_id(option)
return boxid in data and data[boxid][0] == "on"
return {self.id: [o.value for o in self.options if in_response(o)]}
def input_classes(self):
return " ".join(["form-check", "form-control-sm"])
class ServicesCheckboxInput(MultiCheckboxInput):
def __init__(self, id, label, infotext=None):
services = [DropdownOption(s, s.upper()) for s in ServiceDetector.getAvailableServices()]
super().__init__(id, label, services, infotext)
class DropdownOption(object):
def __init__(self, value, text):
self.value = value
@@ -270,6 +313,7 @@ class SettingsController(AdminController):
Section(
"Background decoding",
CheckboxInput("services_enabled", "Service", checkboxText="Enable background decoding services"),
ServicesCheckboxInput("services_decoders", "Enabled services")
),
Section(
"APRS settings",

85
owrx/service/__init__.py
View File

@@ -11,6 +11,7 @@ from owrx.feature import FeatureDetector
from owrx.property import PropertyLayer
from abc import ABCMeta, abstractmethod
from .schedule import ServiceScheduler
from functools import reduce
import logging
@@ -49,6 +50,30 @@ class AprsServiceOutput(ServiceOutput):
return t == "packet_demod"
class ServiceDetector(object):
requirements = {
"ft8": ["wsjt-x"],
"ft4": ["wsjt-x"],
"jt65": ["wsjt-x"],
"jt9": ["wsjt-x"],
"wspr": ["wsjt-x"],
"packet": ["packet"],
}
@staticmethod
def getAvailableServices():
# TODO this should be in a more central place (the frontend also needs this)
fd = FeatureDetector()
return [
name
for name, requirements in ServiceDetector.requirements.items()
if reduce(
lambda a, b: a and b, [fd.is_available(r) for r in requirements], True
)
]
class ServiceHandler(object):
def __init__(self, source):
self.lock = threading.Lock()
@@ -83,24 +108,9 @@ class ServiceHandler(object):
pass
def isSupported(self, mode):
# TODO this should be in a more central place (the frontend also needs this)
requirements = {
"ft8": "wsjt-x",
"ft4": "wsjt-x",
"jt65": "wsjt-x",
"jt9": "wsjt-x",
"wspr": "wsjt-x",
"packet": "packet",
}
fd = FeatureDetector()
# this looks overly complicated... but i'd like modes with no requirements to be always available without
# being listed in the hash above
unavailable = [mode for mode, req in requirements.items() if not fd.is_available(req)]
configured = Config.get()["services_decoders"]
available = [mode for mode in configured if mode not in unavailable]
return mode in available
available = ServiceDetector.getAvailableServices()
return mode in configured and mode in available
def shutdown(self):
self.stopServices()
@@ -141,7 +151,9 @@ class ServiceHandler(object):
dials = [
dial
for dial in Bandplan.getSharedInstance().collectDialFrequencies(frequency_range)
for dial in Bandplan.getSharedInstance().collectDialFrequencies(
frequency_range
)
if self.isSupported(dial["mode"])
]
@@ -155,7 +167,9 @@ class ServiceHandler(object):
groups = self.optimizeResampling(dials, sr)
if groups is None:
for dial in dials:
self.services.append(self.setupService(dial["mode"], dial["frequency"], self.source))
self.services.append(
self.setupService(dial["mode"], dial["frequency"], self.source)
)
else:
for group in groups:
frequencies = sorted([f["frequency"] for f in group])
@@ -163,7 +177,9 @@ class ServiceHandler(object):
max = frequencies[-1]
cf = (min + max) / 2
bw = max - min
logger.debug("group center frequency: {0}, bandwidth: {1}".format(cf, bw))
logger.debug(
"group center frequency: {0}, bandwidth: {1}".format(cf, bw)
)
resampler_props = PropertyLayer()
resampler_props["center_freq"] = cf
# TODO the + 24000 is a temporary fix since the resampling optimizer does not account for required bandwidths
@@ -172,7 +188,11 @@ class ServiceHandler(object):
resampler.start()
for dial in group:
self.services.append(self.setupService(dial["mode"], dial["frequency"], resampler))
self.services.append(
self.setupService(
dial["mode"], dial["frequency"], resampler
)
)
# resampler goes in after the services since it must not be shutdown as long as the services are still running
self.services.append(resampler)
@@ -180,7 +200,10 @@ class ServiceHandler(object):
def optimizeResampling(self, freqs, bandwidth):
freqs = sorted(freqs, key=lambda f: f["frequency"])
distances = [
{"frequency": freqs[i]["frequency"], "distance": freqs[i + 1]["frequency"] - freqs[i]["frequency"]}
{
"frequency": freqs[i]["frequency"],
"distance": freqs[i + 1]["frequency"] - freqs[i]["frequency"],
}
for i in range(0, len(freqs) - 1)
]
@@ -203,15 +226,27 @@ class ServiceHandler(object):
return bandwidth + len(group) * (freqs[-1] - freqs[0] + 24000)
total_bandwidth = sum([get_bandwitdh(group) for group in groups])
return {"num_splits": num_splits, "total_bandwidth": total_bandwidth, "groups": groups}
return {
"num_splits": num_splits,
"total_bandwidth": total_bandwidth,
"groups": groups,
}
usages = [calculate_usage(i) for i in range(0, len(freqs))]
# another possible outcome might be that it's best not to resample at all. this is a special case.
usages += [{"num_splits": None, "total_bandwidth": bandwidth * len(freqs), "groups": [freqs]}]
usages += [
{
"num_splits": None,
"total_bandwidth": bandwidth * len(freqs),
"groups": [freqs],
}
]
results = sorted(usages, key=lambda f: f["total_bandwidth"])
for r in results:
logger.debug("splits: {0}, total: {1}".format(r["num_splits"], r["total_bandwidth"]))
logger.debug(
"splits: {0}, total: {1}".format(r["num_splits"], r["total_bandwidth"])
)
best = results[0]
if best["num_splits"] is None: