starlink-grpc-tools/starlink_grpc.py

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"""Helpers for grpc communication with a Starlink user terminal.
Refactor to reduce the amount of duplicate code Combined the history and status scripts for each data backend and moved some of the shared code into a separate module. Since the existing script names were not appropriate for the new combined versions, the main entry point scripts now have new names, which better conform with Python module name conventions: dish_grpc_text.py, dish_grpc_mqtt.py, and dish_grpc_influx.py. pylint seems happier with those names, at any rate. Switched the argument parsing from getopt to argparse, since that better facilitates sharing the common bits. The whole command line interface is now different in that the selection of data groups to process must be made as required arg(s) rather than option flags, but for the most part, the scripts support choosing an arbitrary list of groups and will process them all. Split the monster main() functions into a more reasonable set of functions. Added new functions to starlink_grpc to support getting the status, which returns the data in a form similar to the history data functions. Reformatted the starlink_grpc module docstring to render better with pydoc. Also changed the way sequence data field names are reported so that the consuming scripts can name them correctly without resorting to hacky special casing based on specific field names. This would subtly break the old scripts that had been expecting the old naming, but those scripts are now gone. The code is harder to follow now, IMO, but this should allow adding of new features and/or data backends without having to make the same change in 6 places as had been the case. To that end, dish_grpc_text now supports bulk history mode, since it was trivial to add once I had it implemented in order to support that feature for dish_grpc_influx.
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This module contains functions for getting the history and status data and
either return it as-is or parsed for some specific statistics.
Those functions return data grouped into sets, as follows.
Note:
Functions that return field names may indicate which fields hold sequences
(which are not necessarily lists) instead of single items. The field names
returned in those cases will be in one of the following formats:
: "name[]" : A sequence of indeterminate size (or a size that can be
determined from other parts of the returned data).
: "name[n]" : A sequence with exactly n elements.
: "name[n1,]" : A sequence of indeterminate size with recommended starting
index label n1.
: "name[n1,n2]" : A sequence with n2-n1 elements with recommended starting
index label n1. This is similar to the args to range() builtin.
For example, the field name "foo[1,5]" could be expanded to "foo_1",
"foo_2", "foo_3", and "foo_4" (or however else the caller wants to
indicate index numbers, if at all).
General status data
-------------------
This group holds information about the current state of the user terminal.
: **id** : A string identifying the specific user terminal device that was
reachable from the local network. Something like a serial number.
: **hardware_version** : A string identifying the user terminal hardware
version.
: **software_version** : A string identifying the software currently installed
on the user terminal.
: **state** : As string describing the current connectivity state of the user
terminal. One of: "UNKNOWN", "CONNECTED", "SEARCHING", "BOOTING".
: **uptime** : The amount of time, in seconds, since the user terminal last
rebooted.
: **snr** : Most recent sample value. See bulk history data for detail.
: **seconds_to_first_nonempty_slot** : Amount of time from now, in seconds,
until a satellite will be scheduled to be available for transmit/receive.
See also *scheduled* in the bulk history data.
: **pop_ping_drop_rate** : Most recent sample value. See bulk history data for
detail.
: **downlink_throughput_bps** : Most recent sample value. See bulk history
data for detail.
: **uplink_throughput_bps** : Most recent sample value. See bulk history data
for detail.
: **pop_ping_latency_ms** : Most recent sample value. See bulk history data
for detail.
: **alerts** : A bit field combining all active alerts, where a 1 bit
indicates the alert is active. See alert detail status data for which bits
correspond with each alert, or to get individual alert flags instead of a
combined bit mask.
: **fraction_obstructed** : The fraction of total area that the user terminal
has determined to be obstructed between it and the satellites with which
it communicates.
: **currently_obstructed** : Most recent sample value. See bulk history data
for detail.
: **seconds_obstructed** : The amount of time within the history buffer
(currently the smaller of 12 hours or since last reboot), in seconds that
the user terminal determined to be obstructed, regardless of whether or
not packets were able to be transmitted or received. See also
*count_obstructed* in general ping drop history data; this value will be
equal to that value when computed across all available history samples.
Obstruction detail status data
------------------------------
This group holds a single field, with more detail on the specific areas the
user terminal has determined to be obstructed.
: **wedges_fraction_obstructed** : A 12 element sequence. Each element
represents a 30 degree wedge of area and its value indicates the fraction
of area within that wedge that the user terminal has determined to be
obstructed between it and the satellites with which it communicates. The
values are expressed as a fraction of total area, not a fraction of the
wedge, so max value for each element should be 1/12.
See also *fraction_obstructed* in general status data, which should equal the
sum of all *wedges_fraction_obstructed* elements.
Alert detail status data
------------------------
This group holds the current state of each individual alert reported by the
user terminal. Note that more alerts may be added in the future. See also
*alerts* in the general status data for a bit field combining them if you
need a set of fields that will not change size in the future.
Descriptions on these are vague due to them being difficult to confirm by
their nature, but the field names are pretty self-explanatory.
: **alert_motors_stuck** : Alert corresponding with bit 0 (bit mask 1) in
*alerts*.
: **alert_thermal_throttle** : Alert corresponding with bit 1 (bit mask 2) in
*alerts*.
: **alert_thermal_shutdown** : Alert corresponding with bit 2 (bit mask 4) in
*alerts*.
: **alert_unexpected_location** : Alert corresponding with bit 3 (bit mask 8)
in *alerts*.
General history data
--------------------
This set of fields contains data relevant to all the other history groups.
The sample interval is currently 1 second.
: **samples** : The number of samples analyzed (for statistics) or returned
(for bulk data).
: **end_counter** : The total number of data samples that have been written to
the history buffer since dish reboot, irrespective of buffer wrap. This
can be used to keep track of how many samples are new in comparison to a
prior query of the history data.
Bulk history data
-----------------
This group holds the history data as-is for the requested range of
samples, just unwound from the circular buffers that the raw data holds.
It contains some of the same fields as the status info, but instead of
representing the current values, each field contains a sequence of values
representing the value over time, ending at the current time.
: **pop_ping_drop_rate** : Fraction of lost ping replies per sample.
: **pop_ping_latency_ms** : Round trip time, in milliseconds, during the
sample period, or None if a sample experienced 100% ping drop.
: **downlink_throughput_bps** : Download usage during the sample period
(actual, not max available), in bits per second.
: **uplink_throughput_bps** : Upload usage during the sample period, in bits
per second.
: **snr** : Signal to noise ratio during the sample period.
: **scheduled** : Boolean indicating whether or not a satellite was scheduled
to be available for transmit/receive during the sample period. When
false, ping drop shows as "No satellites" in Starlink app.
: **obstructed** : Boolean indicating whether or not the dish determined the
signal between it and the satellite was obstructed during the sample
period. When true, ping drop shows as "Obstructed" in the Starlink app.
There is no specific data field in the raw history data that directly
correlates with "Other" or "Beta downtime" in the Starlink app (or whatever it
gets renamed to after beta), but empirical evidence suggests any sample where
*pop_ping_drop_rate* is 1, *scheduled* is true, and *obstructed* is false is
counted as "Beta downtime".
Note that neither *scheduled*=false nor *obstructed*=true necessarily means
packet loss occurred. Those need to be examined in combination with
*pop_ping_drop_rate* to be meaningful.
General ping drop history 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 history 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 sequence. Each element records the total
amount of time, in sample intervals, that experienced 100% ping drop in a
consecutive run that lasted for (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 sequence. 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 (index + 1) multiples of 60
sample intervals (minutes), but less than or equal to (index + 2)
multiples of 60 sample intervals. Except for the last element in the
sequence, 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
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class GrpcError(Exception):
"""Provides error info when something went wrong with a gRPC call."""
def __init__(self, e, *args, **kwargs):
# grpc.RpcError is too verbose to print in whole, but it may also be
# a Call object, and that class has some minimally useful info.
if isinstance(e, grpc.Call):
msg = e.details()
elif isinstance(e, grpc.RpcError):
msg = "Unknown communication or service error"
else:
msg = str(e)
super().__init__(msg, *args, **kwargs)
Refactor to reduce the amount of duplicate code Combined the history and status scripts for each data backend and moved some of the shared code into a separate module. Since the existing script names were not appropriate for the new combined versions, the main entry point scripts now have new names, which better conform with Python module name conventions: dish_grpc_text.py, dish_grpc_mqtt.py, and dish_grpc_influx.py. pylint seems happier with those names, at any rate. Switched the argument parsing from getopt to argparse, since that better facilitates sharing the common bits. The whole command line interface is now different in that the selection of data groups to process must be made as required arg(s) rather than option flags, but for the most part, the scripts support choosing an arbitrary list of groups and will process them all. Split the monster main() functions into a more reasonable set of functions. Added new functions to starlink_grpc to support getting the status, which returns the data in a form similar to the history data functions. Reformatted the starlink_grpc module docstring to render better with pydoc. Also changed the way sequence data field names are reported so that the consuming scripts can name them correctly without resorting to hacky special casing based on specific field names. This would subtly break the old scripts that had been expecting the old naming, but those scripts are now gone. The code is harder to follow now, IMO, but this should allow adding of new features and/or data backends without having to make the same change in 6 places as had been the case. To that end, dish_grpc_text now supports bulk history mode, since it was trivial to add once I had it implemented in order to support that feature for dish_grpc_influx.
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def status_field_names():
"""Return the field names of the status data.
Note:
See module level docs regarding brackets in field names.
Returns:
A tuple with 3 lists, the first with status data field names, the
second with obstruction detail field names, and the third with alert
detail field names.
"""
alert_names = []
for field in spacex.api.device.dish_pb2.DishAlerts.DESCRIPTOR.fields:
alert_names.append("alert_" + field.name)
return [
"id",
"hardware_version",
"software_version",
"state",
"uptime",
"snr",
"seconds_to_first_nonempty_slot",
"pop_ping_drop_rate",
"downlink_throughput_bps",
"uplink_throughput_bps",
"pop_ping_latency_ms",
"alerts",
"fraction_obstructed",
"currently_obstructed",
"seconds_obstructed",
], [
"wedges_fraction_obstructed[12]",
], alert_names
def get_status():
"""Fetch status 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_status={}))
return response.dish_get_status
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def get_id():
"""Return the ID from the dish status information.
Returns:
A string identifying the Starlink user terminal reachable from the
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local network.
Raises:
GrpcError: No user terminal is currently reachable.
"""
try:
status = get_status()
return status.device_info.id
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except grpc.RpcError as e:
raise GrpcError(e)
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Refactor to reduce the amount of duplicate code Combined the history and status scripts for each data backend and moved some of the shared code into a separate module. Since the existing script names were not appropriate for the new combined versions, the main entry point scripts now have new names, which better conform with Python module name conventions: dish_grpc_text.py, dish_grpc_mqtt.py, and dish_grpc_influx.py. pylint seems happier with those names, at any rate. Switched the argument parsing from getopt to argparse, since that better facilitates sharing the common bits. The whole command line interface is now different in that the selection of data groups to process must be made as required arg(s) rather than option flags, but for the most part, the scripts support choosing an arbitrary list of groups and will process them all. Split the monster main() functions into a more reasonable set of functions. Added new functions to starlink_grpc to support getting the status, which returns the data in a form similar to the history data functions. Reformatted the starlink_grpc module docstring to render better with pydoc. Also changed the way sequence data field names are reported so that the consuming scripts can name them correctly without resorting to hacky special casing based on specific field names. This would subtly break the old scripts that had been expecting the old naming, but those scripts are now gone. The code is harder to follow now, IMO, but this should allow adding of new features and/or data backends without having to make the same change in 6 places as had been the case. To that end, dish_grpc_text now supports bulk history mode, since it was trivial to add once I had it implemented in order to support that feature for dish_grpc_influx.
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def status_data():
"""Fetch current status data.
Returns:
A tuple with 3 dicts, the first mapping status data names to their
values, the second mapping alert detail field names to their values,
and the third mapping obstruction detail field names to their values.
Raises:
GrpcError: Failed getting history info from the Starlink user
terminal.
"""
try:
status = get_status()
except grpc.RpcError as e:
raise GrpcError(e)
# More alerts may be added in future, so in addition to listing them
# individually, provide a bit field based on field numbers of the
# DishAlerts message.
alerts = {}
alert_bits = 0
for field in status.alerts.DESCRIPTOR.fields:
value = getattr(status.alerts, field.name)
alerts["alert_" + field.name] = value
alert_bits |= (1 if value else 0) << (field.index)
return {
"id": status.device_info.id,
"hardware_version": status.device_info.hardware_version,
"software_version": status.device_info.software_version,
"state": spacex.api.device.dish_pb2.DishState.Name(status.state),
"uptime": status.device_state.uptime_s,
"snr": status.snr,
"seconds_to_first_nonempty_slot": status.seconds_to_first_nonempty_slot,
"pop_ping_drop_rate": status.pop_ping_drop_rate,
"downlink_throughput_bps": status.downlink_throughput_bps,
"uplink_throughput_bps": status.uplink_throughput_bps,
"pop_ping_latency_ms": status.pop_ping_latency_ms,
"alerts": alert_bits,
"fraction_obstructed": status.obstruction_stats.fraction_obstructed,
"currently_obstructed": status.obstruction_stats.currently_obstructed,
"seconds_obstructed": status.obstruction_stats.last_24h_obstructed_s,
}, {
"wedges_fraction_obstructed[]": status.obstruction_stats.wedge_abs_fraction_obstructed,
}, alerts
def history_bulk_field_names():
"""Return the field names of the bulk history data.
Note:
See module level docs regarding brackets in field names.
Returns:
A tuple with 2 lists, the first with general data names, the second
with bulk history data names.
"""
return [
"samples",
"end_counter",
], [
"pop_ping_drop_rate[]",
"pop_ping_latency_ms[]",
"downlink_throughput_bps[]",
"uplink_throughput_bps[]",
"snr[]",
"scheduled[]",
"obstructed[]",
]
def history_ping_field_names():
"""Return the field names of the packet loss stats.
Refactor to reduce the amount of duplicate code Combined the history and status scripts for each data backend and moved some of the shared code into a separate module. Since the existing script names were not appropriate for the new combined versions, the main entry point scripts now have new names, which better conform with Python module name conventions: dish_grpc_text.py, dish_grpc_mqtt.py, and dish_grpc_influx.py. pylint seems happier with those names, at any rate. Switched the argument parsing from getopt to argparse, since that better facilitates sharing the common bits. The whole command line interface is now different in that the selection of data groups to process must be made as required arg(s) rather than option flags, but for the most part, the scripts support choosing an arbitrary list of groups and will process them all. Split the monster main() functions into a more reasonable set of functions. Added new functions to starlink_grpc to support getting the status, which returns the data in a form similar to the history data functions. Reformatted the starlink_grpc module docstring to render better with pydoc. Also changed the way sequence data field names are reported so that the consuming scripts can name them correctly without resorting to hacky special casing based on specific field names. This would subtly break the old scripts that had been expecting the old naming, but those scripts are now gone. The code is harder to follow now, IMO, but this should allow adding of new features and/or data backends without having to make the same change in 6 places as had been the case. To that end, dish_grpc_text now supports bulk history mode, since it was trivial to add once I had it implemented in order to support that feature for dish_grpc_influx.
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Note:
See module level docs regarding brackets in field names.
Returns:
A tuple with 3 lists, the first with general data names, the second
with ping drop stat names, and the third with ping drop run length
stat names.
"""
return [
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"samples",
"end_counter",
], [
"total_ping_drop",
"count_full_ping_drop",
"count_obstructed",
"total_obstructed_ping_drop",
"count_full_obstructed_ping_drop",
"count_unscheduled",
"total_unscheduled_ping_drop",
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"count_full_unscheduled_ping_drop",
], [
"init_run_fragment",
"final_run_fragment",
Refactor to reduce the amount of duplicate code Combined the history and status scripts for each data backend and moved some of the shared code into a separate module. Since the existing script names were not appropriate for the new combined versions, the main entry point scripts now have new names, which better conform with Python module name conventions: dish_grpc_text.py, dish_grpc_mqtt.py, and dish_grpc_influx.py. pylint seems happier with those names, at any rate. Switched the argument parsing from getopt to argparse, since that better facilitates sharing the common bits. The whole command line interface is now different in that the selection of data groups to process must be made as required arg(s) rather than option flags, but for the most part, the scripts support choosing an arbitrary list of groups and will process them all. Split the monster main() functions into a more reasonable set of functions. Added new functions to starlink_grpc to support getting the status, which returns the data in a form similar to the history data functions. Reformatted the starlink_grpc module docstring to render better with pydoc. Also changed the way sequence data field names are reported so that the consuming scripts can name them correctly without resorting to hacky special casing based on specific field names. This would subtly break the old scripts that had been expecting the old naming, but those scripts are now gone. The code is harder to follow now, IMO, but this should allow adding of new features and/or data backends without having to make the same change in 6 places as had been the case. To that end, dish_grpc_text now supports bulk history mode, since it was trivial to add once I had it implemented in order to support that feature for dish_grpc_influx.
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"run_seconds[1,61]",
"run_minutes[1,61]",
]
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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
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def _compute_sample_range(history, parse_samples, start=None, verbose=False):
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))
if parse_samples < 0 or samples < parse_samples:
parse_samples = samples
if start is not None and start > current:
if verbose:
print("Counter reset detected, ignoring requested start count")
start = None
if start is None or start < current - parse_samples:
start = current - parse_samples
# This is ring buffer offset, so both index to oldest data sample and
# index to next data sample after the newest one.
end_offset = current % samples
start_offset = start % samples
# Set the range for the requested set of samples. This will iterate
# sample index in order from oldest to newest.
if start_offset < end_offset:
sample_range = range(start_offset, end_offset)
else:
sample_range = chain(range(start_offset, samples), range(0, end_offset))
return sample_range, current - start, current
def history_bulk_data(parse_samples, start=None, verbose=False):
"""Fetch history data for a range of samples.
Args:
parse_samples (int): Number of samples to process, or -1 to parse all
available samples (bounded by start, if it is set).
start (int): Optional. If set, the samples returned will be limited to
the ones that have a counter value greater than this value. The
"end_counter" field in the general data dict returned by this
function represents the counter value of the last data sample
returned, so if that value is passed as start in a subsequent call
to this function, only new samples will be returned.
Refactor to reduce the amount of duplicate code Combined the history and status scripts for each data backend and moved some of the shared code into a separate module. Since the existing script names were not appropriate for the new combined versions, the main entry point scripts now have new names, which better conform with Python module name conventions: dish_grpc_text.py, dish_grpc_mqtt.py, and dish_grpc_influx.py. pylint seems happier with those names, at any rate. Switched the argument parsing from getopt to argparse, since that better facilitates sharing the common bits. The whole command line interface is now different in that the selection of data groups to process must be made as required arg(s) rather than option flags, but for the most part, the scripts support choosing an arbitrary list of groups and will process them all. Split the monster main() functions into a more reasonable set of functions. Added new functions to starlink_grpc to support getting the status, which returns the data in a form similar to the history data functions. Reformatted the starlink_grpc module docstring to render better with pydoc. Also changed the way sequence data field names are reported so that the consuming scripts can name them correctly without resorting to hacky special casing based on specific field names. This would subtly break the old scripts that had been expecting the old naming, but those scripts are now gone. The code is harder to follow now, IMO, but this should allow adding of new features and/or data backends without having to make the same change in 6 places as had been the case. To that end, dish_grpc_text now supports bulk history mode, since it was trivial to add once I had it implemented in order to support that feature for dish_grpc_influx.
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Note: The sample counter will reset to 0 when the dish reboots. If
the requested start value is greater than the new "end_counter"
value, this function will assume that happened and treat all
samples as being later than the requested start, and thus include
them (bounded by parse_samples, if it is not -1).
verbose (bool): Optionally produce verbose output.
Returns:
A tuple with 2 dicts, the first mapping general data names to their
values and the second mapping bulk history data names to their values.
Refactor to reduce the amount of duplicate code Combined the history and status scripts for each data backend and moved some of the shared code into a separate module. Since the existing script names were not appropriate for the new combined versions, the main entry point scripts now have new names, which better conform with Python module name conventions: dish_grpc_text.py, dish_grpc_mqtt.py, and dish_grpc_influx.py. pylint seems happier with those names, at any rate. Switched the argument parsing from getopt to argparse, since that better facilitates sharing the common bits. The whole command line interface is now different in that the selection of data groups to process must be made as required arg(s) rather than option flags, but for the most part, the scripts support choosing an arbitrary list of groups and will process them all. Split the monster main() functions into a more reasonable set of functions. Added new functions to starlink_grpc to support getting the status, which returns the data in a form similar to the history data functions. Reformatted the starlink_grpc module docstring to render better with pydoc. Also changed the way sequence data field names are reported so that the consuming scripts can name them correctly without resorting to hacky special casing based on specific field names. This would subtly break the old scripts that had been expecting the old naming, but those scripts are now gone. The code is harder to follow now, IMO, but this should allow adding of new features and/or data backends without having to make the same change in 6 places as had been the case. To that end, dish_grpc_text now supports bulk history mode, since it was trivial to add once I had it implemented in order to support that feature for dish_grpc_influx.
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Note: The field names in the returned data do _not_ include brackets
to indicate sequences, since those would just need to be parsed
out. The general data is all single items and the bulk history
data is all sequences.
Raises:
GrpcError: Failed getting history info from the Starlink user
terminal.
"""
try:
history = get_history()
except grpc.RpcError as e:
raise GrpcError(e)
sample_range, parsed_samples, current = _compute_sample_range(history,
parse_samples,
start=start,
verbose=verbose)
pop_ping_drop_rate = []
pop_ping_latency_ms = []
downlink_throughput_bps = []
uplink_throughput_bps = []
snr = []
scheduled = []
obstructed = []
for i in sample_range:
pop_ping_drop_rate.append(history.pop_ping_drop_rate[i])
pop_ping_latency_ms.append(
history.pop_ping_latency_ms[i] if history.pop_ping_drop_rate[i] < 1 else None)
downlink_throughput_bps.append(history.downlink_throughput_bps[i])
uplink_throughput_bps.append(history.uplink_throughput_bps[i])
snr.append(history.snr[i])
scheduled.append(history.scheduled[i])
obstructed.append(history.obstructed[i])
return {
"samples": parsed_samples,
"end_counter": current,
}, {
"pop_ping_drop_rate": pop_ping_drop_rate,
"pop_ping_latency_ms": pop_ping_latency_ms,
"downlink_throughput_bps": downlink_throughput_bps,
"uplink_throughput_bps": uplink_throughput_bps,
"snr": snr,
"scheduled": scheduled,
"obstructed": obstructed,
}
def history_ping_stats(parse_samples, verbose=False):
"""Fetch, parse, and compute the packet loss stats.
Refactor to reduce the amount of duplicate code Combined the history and status scripts for each data backend and moved some of the shared code into a separate module. Since the existing script names were not appropriate for the new combined versions, the main entry point scripts now have new names, which better conform with Python module name conventions: dish_grpc_text.py, dish_grpc_mqtt.py, and dish_grpc_influx.py. pylint seems happier with those names, at any rate. Switched the argument parsing from getopt to argparse, since that better facilitates sharing the common bits. The whole command line interface is now different in that the selection of data groups to process must be made as required arg(s) rather than option flags, but for the most part, the scripts support choosing an arbitrary list of groups and will process them all. Split the monster main() functions into a more reasonable set of functions. Added new functions to starlink_grpc to support getting the status, which returns the data in a form similar to the history data functions. Reformatted the starlink_grpc module docstring to render better with pydoc. Also changed the way sequence data field names are reported so that the consuming scripts can name them correctly without resorting to hacky special casing based on specific field names. This would subtly break the old scripts that had been expecting the old naming, but those scripts are now gone. The code is harder to follow now, IMO, but this should allow adding of new features and/or data backends without having to make the same change in 6 places as had been the case. To that end, dish_grpc_text now supports bulk history mode, since it was trivial to add once I had it implemented in order to support that feature for dish_grpc_influx.
2021-01-29 21:25:23 -06:00
Note:
See module level docs regarding brackets in field names.
Args:
parse_samples (int): Number of samples to process, or -1 to parse all
available samples.
verbose (bool): Optionally produce verbose output.
Returns:
A tuple with 3 dicts, the first mapping general data names to their
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values, the second mapping ping drop stat names to their values and
the third mapping ping drop run length stat names to their values.
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Raises:
GrpcError: Failed getting history info from the Starlink user
terminal.
"""
try:
history = get_history()
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except grpc.RpcError as e:
raise GrpcError(e)
sample_range, parse_samples, current = _compute_sample_range(history,
parse_samples,
verbose=verbose)
tot = 0.0
count_full_drop = 0
count_unsched = 0
total_unsched_drop = 0.0
count_full_unsched = 0
count_obstruct = 0
total_obstruct_drop = 0.0
count_full_obstruct = 0
second_runs = [0] * 60
minute_runs = [0] * 60
run_length = 0
init_run_length = None
for i in sample_range:
d = history.pop_ping_drop_rate[i]
if d >= 1:
# just in case...
d = 1
count_full_drop += 1
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:
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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 += 1
# 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 += 1
tot += 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 {
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"samples": parse_samples,
"end_counter": current,
}, {
"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,
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"count_full_unscheduled_ping_drop": count_full_unsched,
}, {
"init_run_fragment": init_run_length,
"final_run_fragment": run_length,
Refactor to reduce the amount of duplicate code Combined the history and status scripts for each data backend and moved some of the shared code into a separate module. Since the existing script names were not appropriate for the new combined versions, the main entry point scripts now have new names, which better conform with Python module name conventions: dish_grpc_text.py, dish_grpc_mqtt.py, and dish_grpc_influx.py. pylint seems happier with those names, at any rate. Switched the argument parsing from getopt to argparse, since that better facilitates sharing the common bits. The whole command line interface is now different in that the selection of data groups to process must be made as required arg(s) rather than option flags, but for the most part, the scripts support choosing an arbitrary list of groups and will process them all. Split the monster main() functions into a more reasonable set of functions. Added new functions to starlink_grpc to support getting the status, which returns the data in a form similar to the history data functions. Reformatted the starlink_grpc module docstring to render better with pydoc. Also changed the way sequence data field names are reported so that the consuming scripts can name them correctly without resorting to hacky special casing based on specific field names. This would subtly break the old scripts that had been expecting the old naming, but those scripts are now gone. The code is harder to follow now, IMO, but this should allow adding of new features and/or data backends without having to make the same change in 6 places as had been the case. To that end, dish_grpc_text now supports bulk history mode, since it was trivial to add once I had it implemented in order to support that feature for dish_grpc_influx.
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"run_seconds[1,]": second_runs,
"run_minutes[1,]": minute_runs,
}