starlink-grpc-tools/starlink_grpc.py
sparky8512 0ee39f61fd Small change to the interface between parser and calling scripts
Move the "samples" stat out of the ping drop group of stats and into a new general stats group.

This way, it  will make more sense if/when additional stat groups are added, since that stat will apply to all of them.
2021-01-08 19:17:34 -08:00

243 lines
9.4 KiB
Python

"""Helpers for grpc communication with a Starlink user terminal.
This module may eventually contain more expansive parsing logic, but for now
it contains functions to parse the history data for some specific packet loss
statistics.
General statistics:
This group of statistics contains data relevant to all the other groups.
The sample interval is currently 1 second.
samples: The number of valid samples analyzed.
General ping drop (packet loss) statistics:
This group of statistics characterize the packet loss (labeled "ping drop"
in the field names of the Starlink gRPC service protocol) in various ways.
total_ping_drop: The total amount of time, in sample intervals, that
experienced ping drop.
count_full_ping_drop: The number of samples that experienced 100%
ping drop.
count_obstructed: The number of samples that were marked as
"obstructed", regardless of whether they experienced any ping
drop.
total_obstructed_ping_drop: The total amount of time, in sample
intervals, that experienced ping drop in samples marked as
"obstructed".
count_full_obstructed_ping_drop: The number of samples that were
marked as "obstructed" and that experienced 100% ping drop.
count_unscheduled: The number of samples that were not marked as
"scheduled", regardless of whether they experienced any ping
drop.
total_unscheduled_ping_drop: The total amount of time, in sample
intervals, that experienced ping drop in samples not marked as
"scheduled".
count_full_unscheduled_ping_drop: The number of samples that were
not marked as "scheduled" and that experienced 100% ping drop.
Total packet loss ratio can be computed with total_ping_drop / samples.
Ping drop run length statistics:
This group of statistics characterizes packet loss by how long a
consecutive run of 100% packet loss lasts.
init_run_fragment: The number of consecutive sample periods at the
start of the sample set that experienced 100% ping drop. This
period may be a continuation of a run that started prior to the
sample set, so is not counted in the following stats.
final_run_fragment: The number of consecutive sample periods at the
end of the sample set that experienced 100% ping drop. This
period may continue as a run beyond the end of the sample set, so
is not counted in the following stats.
run_seconds: A 60 element list. Each element records the total amount
of time, in sample intervals, that experienced 100% ping drop in
a consecutive run that lasted for (list index + 1) sample
intervals (seconds). That is, the first element contains time
spent in 1 sample runs, the second element contains time spent in
2 sample runs, etc.
run_minutes: A 60 element list. Each element records the total amount
of time, in sample intervals, that experienced 100% ping drop in
a consecutive run that lasted for more that (list index + 1)
multiples of 60 sample intervals (minutes), but less than or equal
to (list index + 2) multiples of 60 sample intervals. Except for
the last element in the list, which records the total amount of
time in runs of more than 60*60 samples.
No sample should be counted in more than one of the run length stats or
stat elements, so the total of all of them should be equal to
count_full_ping_drop from the ping drop stats.
Samples that experience less than 100% ping drop are not counted in this
group of stats, even if they happen at the beginning or end of a run of
100% ping drop samples. To compute the amount of time that experienced
ping loss in less than a single run of 100% ping drop, use
(total_ping_drop - count_full_ping_drop) from the ping drop stats.
"""
from itertools import chain
import grpc
import spacex.api.device.device_pb2
import spacex.api.device.device_pb2_grpc
def history_ping_field_names():
"""Return the field names of the packet loss stats.
Returns:
A tuple with 3 lists, the first with general stat names, the second
with ping drop stat names, and the third with ping drop run length
stat names.
"""
return [
"samples"
], [
"total_ping_drop",
"count_full_ping_drop",
"count_obstructed",
"total_obstructed_ping_drop",
"count_full_obstructed_ping_drop",
"count_unscheduled",
"total_unscheduled_ping_drop",
"count_full_unscheduled_ping_drop"
], [
"init_run_fragment",
"final_run_fragment",
"run_seconds",
"run_minutes"
]
def get_history():
"""Fetch history data and return it in grpc structure format.
Raises:
grpc.RpcError: Communication or service error.
"""
with grpc.insecure_channel("192.168.100.1:9200") as channel:
stub = spacex.api.device.device_pb2_grpc.DeviceStub(channel)
response = stub.Handle(spacex.api.device.device_pb2.Request(get_history={}))
return response.dish_get_history
def history_ping_stats(parse_samples, verbose=False):
"""Fetch, parse, and compute the packet loss stats.
Args:
parse_samples (int): Number of samples to process, or -1 to parse all
available samples.
verbose (bool): Optionally produce verbose output.
Returns:
On success, a tuple with 3 dicts, the first mapping general stat names
to their values, the second mapping ping drop stat names to their
values and the third mapping ping drop run length stat names to their
values.
On failure, the tuple (None, None, None).
"""
try:
history = get_history()
except grpc.RpcError:
if verbose:
# RpcError is too verbose to print the details.
print("Failed getting history")
return None, None, None
# 'current' is the count of data samples written to the ring buffer,
# irrespective of buffer wrap.
current = int(history.current)
samples = len(history.pop_ping_drop_rate)
if verbose:
print("current counter: " + str(current))
print("All samples: " + str(samples))
samples = min(samples, current)
if verbose:
print("Valid samples: " + str(samples))
# This is ring buffer offset, so both index to oldest data sample and
# index to next data sample after the newest one.
offset = current % samples
tot = 0
count_full_drop = 0
count_unsched = 0
total_unsched_drop = 0
count_full_unsched = 0
count_obstruct = 0
total_obstruct_drop = 0
count_full_obstruct = 0
second_runs = [0] * 60
minute_runs = [0] * 60
run_length = 0
init_run_length = None
if parse_samples < 0 or samples < parse_samples:
parse_samples = samples
# Parse the most recent parse_samples-sized set of samples. This will
# iterate samples in order from oldest to newest.
if parse_samples <= offset:
sample_range = range(offset - parse_samples, offset)
else:
sample_range = chain(range(samples + offset - parse_samples, samples), range(0, offset))
for i in sample_range:
d = history.pop_ping_drop_rate[i]
tot += d
if d >= 1:
count_full_drop += d
run_length += 1
elif run_length > 0:
if init_run_length is None:
init_run_length = run_length
else:
if run_length <= 60:
second_runs[run_length - 1] += run_length
else:
minute_runs[min((run_length - 1)//60 - 1, 59)] += run_length
run_length = 0
elif init_run_length is None:
init_run_length = 0
if not history.scheduled[i]:
count_unsched += 1
total_unsched_drop += d
if d >= 1:
count_full_unsched += d
# scheduled=false and obstructed=true do not ever appear to overlap,
# but in case they do in the future, treat that as just unscheduled
# in order to avoid double-counting it.
elif history.obstructed[i]:
count_obstruct += 1
total_obstruct_drop += d
if d >= 1:
count_full_obstruct += d
# If the entire sample set is one big drop run, it will be both initial
# fragment (continued from prior sample range) and final one (continued
# to next sample range), but to avoid double-reporting, just call it
# the initial run.
if init_run_length is None:
init_run_length = run_length
run_length = 0
return {
"samples": parse_samples
}, {
"total_ping_drop": tot,
"count_full_ping_drop": count_full_drop,
"count_obstructed": count_obstruct,
"total_obstructed_ping_drop": total_obstruct_drop,
"count_full_obstructed_ping_drop": count_full_obstruct,
"count_unscheduled": count_unsched,
"total_unscheduled_ping_drop": total_unsched_drop,
"count_full_unscheduled_ping_drop": count_full_unsched
}, {
"init_run_fragment": init_run_length,
"final_run_fragment": run_length,
"run_seconds": second_runs,
"run_minutes": minute_runs
}