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Merge pull request #8 from sparky8512/main

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Bring current.
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Leigh Phillips 2021-02-09 21:22:29 -08:00 committed by GitHub
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4
Dockerfile
View file

@ -19,7 +19,7 @@ WORKDIR /app
# run crond as main process of container
ENTRYPOINT ["/bin/sh", "/app/entrypoint.sh"]
CMD ["dishStatusInflux.py"]
CMD ["dish_grpc_influx.py status alert_detail"]
# docker run -d --name='starlink-grpc-tools' -e INFLUXDB_HOST=192.168.1.34 -e INFLUXDB_PORT=8086 -e INFLUXDB_DB=starlink
# --net='br0' --ip='192.168.1.39' neurocis/starlink-grpc-tools dishStatusInflux.py
# --net='br0' --ip='192.168.1.39' neurocis/starlink-grpc-tools dish_grpc_influx.py status alert_detail

46
README.md
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@ -38,7 +38,7 @@ python parseJsonHistory.py -h
When used as-is, `parseJsonHistory.py` will summarize packet loss information from the data the dish records. There's other bits of data in there, though, so that script (or more likely the parsing logic it uses, which now resides in `starlink_json.py`) could be used as a starting point or example of how to iterate through it. Most of the data displayed in the Statistics page of the Starlink app appears to come from this same `get_history` gRPC response. See the file `get_history_notes.txt` for some ramblings on how to interpret it.
The one bit of functionality this script has over the grpc scripts is that it supports capturing the grpcurl output to a file and reading from that, which may be useful if you're collecting data in one place but analyzing it in another. Otherwise, it's probably better to use `dishHistoryStats.py`, described below.
The one bit of functionality this script has over the grpc scripts is that it supports capturing the grpcurl output to a file and reading from that, which may be useful if you're collecting data in one place but analyzing it in another. Otherwise, it's probably better to use `dish_grpc_text.py`, described below.
### The grpc scripts
@ -57,52 +57,60 @@ python3 -m grpc_tools.protoc --descriptor_set_in=../dish.protoset --python_out=.
```
Then move the resulting files to where the Python scripts can find them in the import path, such as in the same directory as the scripts themselves.
Once those are available, the `dishHistoryStats.py` script can be used in place of the `grpcurl | parseJsonHistory.py` pipeline, with most of the same command line options. For example:
Once those are available, the `dish_grpc_text.py` script can be used in place of the `grpcurl | parseJsonHistory.py` pipeline; however, the command line interface is slightly different because `dish_grpc_text.py` supports additional functionality. The equivalent command to `grpcurl | parseJsonHistory.py` would be:
```
python3 parseHistoryStats.py
python3 dish_grpc_text.py ping_drop
```
By default, `parseHistoryStats.py` (and `parseJsonHistory.py`) will output the stats in CSV format. You can use the `-v` option to instead output in a (slightly) more human-readable format.
By default, `dish_grpc_text.py` (and `parseJsonHistory.py`) will output in CSV format. You can use the `-v` option to instead output in a (slightly) more human-readable format.
To collect and record summary stats at the top of every hour, you could put something like the following in your user crontab (assuming you have moved the scripts to ~/bin and made them executable):
To collect and record packet loss summary stats at the top of every hour, you could put something like the following in your user crontab (assuming you have moved the scripts to ~/bin and made them executable):
```
00 * * * * [ -e ~/dishStats.csv ] || ~/bin/dishHistoryStats.py -H >~/dishStats.csv; ~/bin/dishHistoryStats.py >>~/dishStats.csv
00 * * * * [ -e ~/dishStats.csv ] || ~/bin/dish_grpc_text.py -H >~/dishStats.csv; ~/bin/dish_grpc_text.py ping_drop >>~/dishStats.csv
```
`dishHistoryInflux.py` and `dishHistoryMqtt.py` are similar, but they send their output to an InfluxDB server and a MQTT broker, respectively. Run them with `-h` command line option for details on how to specify server and/or database options.
`dish_grpc_influx.py`, `dish_grpc_sqlite.py`, and `dish_grpc_mqtt.py` are similar, but they send their output to an InfluxDB server, a sqlite database, and a MQTT broker, respectively. Run them with `-h` command line option for details on how to specify server and/or database options.
`dishStatusCsv.py`, `dishStatusInflux.py`, and `dishStatusMqtt.py` output the status data instead of history data, to various data backends. The information they pull is mostly what appears related to the dish in the Debug Data section of the Starlink app. As with the corresponding history scripts, run them with `-h` command line option for usage details.
All 4 scripts support processing status data in addition to the history data. The status data is mostly what appears related to the dish in the Debug Data section of the Starlink app. Specific status or history data groups can be selected by including their mode names on the command line. Run the scripts with `-h` command line option to get a list of available modes. See the documentation at the top of `starlink_grpc.py` for detail on what each of the fields means within each mode group.
By default, all of these scripts will pull data once, send it off to the specified data backend, and then exit. They can instead be made to run in a periodic loop by passing a `-t` option to specify loop interval, in seconds. For example, to capture status information to a InfluxDB server every 30 seconds, you could do something like this:
```
python3 dishStatusInflux.py -t 30 [... probably other args to specify server options ...]
python3 dish_grpc_influx.py -t 30 [... probably other args to specify server options ...] status
```
Some of the scripts (currently only the InfluxDB ones) also support specifying options through environment variables. See details in the scripts for the environment variables that map to options.
Some of the scripts (currently only the InfluxDB one) also support specifying options through environment variables. See details in the scripts for the environment variables that map to options.
#### Bulk history data collection
`dishStatusInflux.py` also supports a bulk mode that collects and writes the full second-by-second data to the server instead of summary stats. To select bulk mode, use the `-b` option. You'll probably also want to use the `-t` option to have it run in a loop.
`dish_grpc_influx.py`, `dish_grpc_sqlite.py`, and `dish_grpc_text.py` also support a bulk history mode that collects and writes the full second-by-second data instead of summary stats. To select bulk mode, use `bulk_history` for the mode argument. You'll probably also want to use the `-t` option to have it run in a loop.
### Other scripts
`dishDumpStatus.py` is a simple example of how to use the grpc modules (the ones generated by protoc, not `starlink_grpc.py`) directly. Just run it as:
`dump_dish_status.py` is a simple example of how to use the grpc modules (the ones generated by protoc, not `starlink_grpc`) directly. Just run it as:
```
python3 dishDumpStatus.py
python3 dump_dish_status.py
```
and revel in copious amounts of dish status information. OK, maybe it's not as impressive as all that. This one is really just meant to be a starting point for real functionality to be added to it.
`poll_history.py` is another silly example, but this one illustrates how to periodically poll the status and/or bulk history data using the `starlink_grpc` module's API. It's not really useful by itself, but if you really want to, you can run it as:
```
python3 poll_history.py
```
Possibly more simple examples to come, as the other scripts have started getting a bit complicated.
## To Be Done (Maybe)
Maybe more data backend options. If there's one you'd like to see supported, please open a feature request issue.
There are `reboot` and `dish_stow` requests in the Device protocol, too, so it should be trivial to write a command that initiates dish reboot and stow operations. These are easy enough to do with `grpcurl`, though, as there is no need to parse through the response data. For that matter, they're easy enough to do with the Starlink app.
Proper Python packaging, since some of the scripts are no longer self-contained.
The requirement to run `grpcurl` and `protoc` could be eliminated by adding support for use of gRPC server reflection directly in the grpc scripts. This would sidestep any packaging questions about whether or not the protoc-generated files could be redistributed.
## Other Tidbits
The Starlink Android app actually uses port 9201 instead of 9200. Both appear to expose the same gRPC service, but the one on port 9201 uses an HTTP/1.1 wrapper, whereas the one on port 9200 uses HTTP/2.0, which is what most gRPC tools expect.
The Starlink Android app actually uses port 9201 instead of 9200. Both appear to expose the same gRPC service, but the one on port 9201 uses [gRPC-Web](https://github.com/grpc/grpc/blob/master/doc/PROTOCOL-WEB.md), which can use HTTP/1.1, whereas the one on port 9200 uses HTTP/2, which is what most gRPC tools expect.
The Starlink router also exposes a gRPC service, on ports 9000 (HTTP/2.0) and 9001 (HTTP/1.1).
@ -116,13 +124,17 @@ docker run -d -t --name='starlink-grpc-tools' -e INFLUXDB_HOST={InfluxDB Hostnam
-e INFLUXDB_USER={Optional, InfluxDB Username} \
-e INFLUXDB_PWD={Optional, InfluxDB Password} \
-e INFLUXDB_DB={Pre-created DB name, starlinkstats works well} \
neurocis/starlink-grpc-tools dishStatusInflux.py -v
neurocis/starlink-grpc-tools dish_grpc_influx.py -v status alert_detail
```
The `-t` option to `docker run` will prevent Python from buffering the script's standard output and can be omitted if you don't care about seeing the verbose output in the container logs as soon as it is printed.
The `dishStatusInflux.py -v` is optional and omitting it will run same but not verbose, or you can replace it with one of the other scripts if you wish to run that instead, or use other command line options. There is also a `GrafanaDashboard - Starlink Statistics.json` which can be imported to get some charts like:
The `dish_grpc_influx.py -v status alert_detail` is optional and omitting it will run same but not verbose, or you can replace it with one of the other scripts if you wish to run that instead, or use other command line options. There is also a `GrafanaDashboard - Starlink Statistics.json` which can be imported to get some charts like:
![image](https://user-images.githubusercontent.com/945191/104257179-ae570000-5431-11eb-986e-3fedd04bfcfb.png)
You'll probably want to run with the `-t` option to `dishStatusInflux.py` to collect status information periodically for this to be meaningful.
You'll probably want to run with the `-t` option to `dish_grpc_influx.py` to collect status information periodically for this to be meaningful.
## Related Projects
[ChuckTSI's Better Than Nothing Web Interface](https://github.com/ChuckTSI/BetterThanNothingWebInterface) uses grpcurl and PHP to provide a spiffy web UI for some of the same data this project works on.

26
dishDumpStatus.py
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@ -1,26 +0,0 @@
#!/usr/bin/python3
######################################################################
#
# Simple example of how to poll the get_status request directly using
# grpc calls.
#
######################################################################
import grpc
import spacex.api.device.device_pb2
import spacex.api.device.device_pb2_grpc
# Note that if you remove the 'with' clause here, you need to separately
# call channel.close() when you're done with the gRPC connection.
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={}))
# Dump everything
print(response)
## Just the software version
#print(response.dish_get_status.device_info.software_version)
## Check if connected
#print("Connected" if response.dish_get_status.state == spacex.api.device.dish_pb2.DishState.CONNECTED else "Not connected")

414
dishHistoryInflux.py
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@ -1,414 +0,0 @@
#!/usr/bin/python3
######################################################################
#
# Write Starlink user terminal packet loss, latency, and usage data
# to an InfluxDB database.
#
# This script examines the most recent samples from the history data,
# and either writes them in whole, or computes several different
# metrics related to packet loss and writes those, to the specified
# InfluxDB database.
#
# NOTE: The Starlink user terminal does not include time values with
# its history or status data, so this script uses current system time
# to compute the timestamps it sends to InfluxDB. It is recommended
# to run this script on a host that has its system clock synced via
# NTP. Otherwise, the timestamps may get out of sync with real time.
#
######################################################################
import getopt
from datetime import datetime
from datetime import timezone
import logging
import os
import signal
import sys
import time
import warnings
from influxdb import InfluxDBClient
import starlink_grpc
BULK_MEASUREMENT = "spacex.starlink.user_terminal.history"
PING_MEASUREMENT = "spacex.starlink.user_terminal.ping_stats"
MAX_QUEUE_LENGTH = 864000
class Terminated(Exception):
pass
def handle_sigterm(signum, frame):
# Turn SIGTERM into an exception so main loop can clean up
raise Terminated()
def main():
arg_error = False
try:
opts, args = getopt.getopt(sys.argv[1:], "abhkn:p:rs:t:vC:D:IP:R:SU:")
except getopt.GetoptError as err:
print(str(err))
arg_error = True
# Default to 1 hour worth of data samples.
samples_default = 3600
samples = None
print_usage = False
verbose = False
default_loop_time = 0
loop_time = default_loop_time
bulk_mode = False
bulk_skip_query = False
run_lengths = False
host_default = "localhost"
database_default = "starlinkstats"
icargs = {"host": host_default, "timeout": 5, "database": database_default}
rp = None
flush_limit = 6
max_batch = 5000
# For each of these check they are both set and not empty string
influxdb_host = os.environ.get("INFLUXDB_HOST")
if influxdb_host:
icargs["host"] = influxdb_host
influxdb_port = os.environ.get("INFLUXDB_PORT")
if influxdb_port:
icargs["port"] = int(influxdb_port)
influxdb_user = os.environ.get("INFLUXDB_USER")
if influxdb_user:
icargs["username"] = influxdb_user
influxdb_pwd = os.environ.get("INFLUXDB_PWD")
if influxdb_pwd:
icargs["password"] = influxdb_pwd
influxdb_db = os.environ.get("INFLUXDB_DB")
if influxdb_db:
icargs["database"] = influxdb_db
influxdb_rp = os.environ.get("INFLUXDB_RP")
if influxdb_rp:
rp = influxdb_rp
influxdb_ssl = os.environ.get("INFLUXDB_SSL")
if influxdb_ssl:
icargs["ssl"] = True
if influxdb_ssl.lower() == "secure":
icargs["verify_ssl"] = True
elif influxdb_ssl.lower() == "insecure":
icargs["verify_ssl"] = False
else:
icargs["verify_ssl"] = influxdb_ssl
if not arg_error:
if len(args) > 0:
arg_error = True
else:
for opt, arg in opts:
if opt == "-a":
samples = -1
elif opt == "-b":
bulk_mode = True
elif opt == "-h":
print_usage = True
elif opt == "-k":
bulk_skip_query = True
elif opt == "-n":
icargs["host"] = arg
elif opt == "-p":
icargs["port"] = int(arg)
elif opt == "-r":
run_lengths = True
elif opt == "-s":
samples = int(arg)
elif opt == "-t":
loop_time = float(arg)
elif opt == "-v":
verbose = True
elif opt == "-C":
icargs["ssl"] = True
icargs["verify_ssl"] = arg
elif opt == "-D":
icargs["database"] = arg
elif opt == "-I":
icargs["ssl"] = True
icargs["verify_ssl"] = False
elif opt == "-P":
icargs["password"] = arg
elif opt == "-R":
rp = arg
elif opt == "-S":
icargs["ssl"] = True
icargs["verify_ssl"] = True
elif opt == "-U":
icargs["username"] = arg
if "password" in icargs and "username" not in icargs:
print("Password authentication requires username to be set")
arg_error = True
if print_usage or arg_error:
print("Usage: " + sys.argv[0] + " [options...]")
print("Options:")
print(" -a: Parse all valid samples")
print(" -b: Bulk mode: write individual sample data instead of summary stats")
print(" -h: Be helpful")
print(" -k: Skip querying for prior sample write point in bulk mode")
print(" -n <name>: Hostname of InfluxDB server, default: " + host_default)
print(" -p <num>: Port number to use on InfluxDB server")
print(" -r: Include ping drop run length stats")
print(" -s <num>: Number of data samples to parse; in bulk mode, applies to first")
print(" loop iteration only, default: -1 in bulk mode, loop interval if")
print(" loop interval set, else " + str(samples_default))
print(" -t <num>: Loop interval in seconds or 0 for no loop, default: " +
str(default_loop_time))
print(" -v: Be verbose")
print(" -C <filename>: Enable SSL/TLS using specified CA cert to verify server")
print(" -D <name>: Database name to use, default: " + database_default)
print(" -I: Enable SSL/TLS but disable certificate verification (INSECURE!)")
print(" -P <word>: Set password for authentication")
print(" -R <name>: Retention policy name to use")
print(" -S: Enable SSL/TLS using default CA cert")
print(" -U <name>: Set username for authentication")
sys.exit(1 if arg_error else 0)
if samples is None:
samples = -1 if bulk_mode else int(loop_time) if loop_time > 0 else samples_default
logging.basicConfig(format="%(levelname)s: %(message)s")
class GlobalState:
pass
gstate = GlobalState()
gstate.dish_id = None
gstate.points = []
gstate.counter = None
gstate.timestamp = None
gstate.query_done = bulk_skip_query
def conn_error(msg, *args):
# Connection errors that happen in an interval loop are not critical
# failures, but are interesting enough to print in non-verbose mode.
if loop_time > 0:
print(msg % args)
else:
logging.error(msg, *args)
def flush_points(client):
# Don't flush points to server if the counter query failed, since some
# may be discarded later. Write would probably fail, too, anyway.
if bulk_mode and not gstate.query_done:
return 1
try:
while len(gstate.points) > max_batch:
client.write_points(gstate.points[:max_batch],
time_precision="s",
retention_policy=rp)
if verbose:
print("Data points written: " + str(max_batch))
del gstate.points[:max_batch]
if gstate.points:
client.write_points(gstate.points, time_precision="s", retention_policy=rp)
if verbose:
print("Data points written: " + str(len(gstate.points)))
gstate.points.clear()
except Exception as e:
conn_error("Failed writing to InfluxDB database: %s", str(e))
# If failures persist, don't just use infinite memory. Max queue
# is currently 10 days of bulk data, so something is very wrong
# if it's ever exceeded.
if len(gstate.points) > MAX_QUEUE_LENGTH:
logging.error("Max write queue exceeded, discarding data.")
del gstate.points[:-MAX_QUEUE_LENGTH]
return 1
return 0
def query_counter(client, now, len_points):
try:
# fetch the latest point where counter field was recorded
result = client.query("SELECT counter FROM \"{0}\" "
"WHERE time>={1}s AND time<{2}s AND id=$id "
"ORDER by time DESC LIMIT 1;".format(
BULK_MEASUREMENT, now - len_points, now),
bind_params={"id": gstate.dish_id},
epoch="s")
rpoints = list(result.get_points())
if rpoints:
counter = rpoints[0].get("counter", None)
timestamp = rpoints[0].get("time", 0)
if counter and timestamp:
return int(counter), int(timestamp)
except TypeError as e:
# bind_params was added in influxdb-python v5.2.3. That would be
# easy enough to work around, but older versions had other problems
# with query(), so just skip this functionality.
logging.error(
"Failed running query, probably due to influxdb-python version too old. "
"Skipping resumption from prior counter value. Reported error was: %s", str(e))
return None, 0
def process_bulk_data(client):
before = time.time()
start = gstate.counter
parse_samples = samples if start is None else -1
general, bulk = starlink_grpc.history_bulk_data(parse_samples, start=start, verbose=verbose)
after = time.time()
parsed_samples = general["samples"]
new_counter = general["end_counter"]
timestamp = gstate.timestamp
# check this first, so it doesn't report as lost time sync
if gstate.counter is not None and new_counter != gstate.counter + parsed_samples:
timestamp = None
# Allow up to 2 seconds of time drift before forcibly re-syncing, since
# +/- 1 second can happen just due to scheduler timing.
if timestamp is not None and not before - 2.0 <= timestamp + parsed_samples <= after + 2.0:
if verbose:
print("Lost sample time sync at: " +
str(datetime.fromtimestamp(timestamp + parsed_samples, tz=timezone.utc)))
timestamp = None
if timestamp is None:
timestamp = int(before)
if verbose and gstate.query_done:
print("Establishing new time base: {0} -> {1}".format(
new_counter, datetime.fromtimestamp(timestamp, tz=timezone.utc)))
timestamp -= parsed_samples
for i in range(parsed_samples):
timestamp += 1
gstate.points.append({
"measurement": BULK_MEASUREMENT,
"tags": {
"id": gstate.dish_id
},
"time": timestamp,
"fields": {k: v[i] for k, v in bulk.items() if v[i] is not None},
})
# save off counter value for script restart
if parsed_samples:
gstate.points[-1]["fields"]["counter"] = new_counter
gstate.counter = new_counter
gstate.timestamp = timestamp
# This is here and not before the points being processed because if the
# query previously failed, there will be points that were processed in
# a prior loop. This avoids having to handle that as a special case.
if not gstate.query_done:
try:
db_counter, db_timestamp = query_counter(client, timestamp, len(gstate.points))
except Exception as e:
# could be temporary outage, so try again next time
conn_error("Failed querying InfluxDB for prior count: %s", str(e))
return
gstate.query_done = True
start_counter = new_counter - len(gstate.points)
if db_counter and start_counter <= db_counter < new_counter:
del gstate.points[:db_counter - start_counter]
if before - 2.0 <= db_timestamp + len(gstate.points) <= after + 2.0:
if verbose:
print("Using existing time base: {0} -> {1}".format(
db_counter, datetime.fromtimestamp(db_timestamp, tz=timezone.utc)))
for point in gstate.points:
db_timestamp += 1
point["time"] = db_timestamp
gstate.timestamp = db_timestamp
return
if verbose:
print("Establishing new time base: {0} -> {1}".format(
new_counter, datetime.fromtimestamp(timestamp, tz=timezone.utc)))
def process_ping_stats():
timestamp = time.time()
general, pd_stats, rl_stats = starlink_grpc.history_ping_stats(samples, verbose)
all_stats = general.copy()
all_stats.update(pd_stats)
if run_lengths:
for k, v in rl_stats.items():
if k.startswith("run_"):
for i, subv in enumerate(v, start=1):
all_stats[k + "_" + str(i)] = subv
else:
all_stats[k] = v
gstate.points.append({
"measurement": PING_MEASUREMENT,
"tags": {
"id": gstate.dish_id
},
"time": int(timestamp),
"fields": all_stats,
})
def loop_body(client):
if gstate.dish_id is None:
try:
gstate.dish_id = starlink_grpc.get_id()
if verbose:
print("Using dish ID: " + gstate.dish_id)
except starlink_grpc.GrpcError as e:
conn_error("Failure getting dish ID: %s", str(e))
return 1
if bulk_mode:
try:
process_bulk_data(client)
except starlink_grpc.GrpcError as e:
conn_error("Failure getting history: %s", str(e))
return 1
else:
try:
process_ping_stats()
except starlink_grpc.GrpcError as e:
conn_error("Failure getting ping stats: %s", str(e))
return 1
if verbose:
print("Data points queued: " + str(len(gstate.points)))
if len(gstate.points) >= flush_limit:
return flush_points(client)
return 0
if "verify_ssl" in icargs and not icargs["verify_ssl"]:
# user has explicitly said be insecure, so don't warn about it
warnings.filterwarnings("ignore", message="Unverified HTTPS request")
signal.signal(signal.SIGTERM, handle_sigterm)
try:
# attempt to hack around breakage between influxdb-python client and 2.0 server:
influx_client = InfluxDBClient(**icargs, headers={"Accept": "application/json"})
except TypeError:
# ...unless influxdb-python package version is too old
influx_client = InfluxDBClient(**icargs)
try:
next_loop = time.monotonic()
while True:
rc = loop_body(influx_client)
if loop_time > 0:
now = time.monotonic()
next_loop = max(next_loop + loop_time, now)
time.sleep(next_loop - now)
else:
break
except Terminated:
pass
finally:
if gstate.points:
rc = flush_points(influx_client)
influx_client.close()
sys.exit(rc)
if __name__ == '__main__':
main()

185
dishHistoryMqtt.py
View file

@ -1,185 +0,0 @@
#!/usr/bin/python3
######################################################################
#
# Publish Starlink user terminal packet loss statistics to a MQTT
# broker.
#
# This script examines the most recent samples from the history data,
# computes several different metrics related to packet loss, and
# publishes those to the specified MQTT broker.
#
######################################################################
import getopt
import logging
import sys
import time
try:
import ssl
ssl_ok = True
except ImportError:
ssl_ok = False
import paho.mqtt.publish
import starlink_grpc
def main():
arg_error = False
try:
opts, args = getopt.getopt(sys.argv[1:], "ahn:p:rs:t:vC:ISP:U:")
except getopt.GetoptError as err:
print(str(err))
arg_error = True
# Default to 1 hour worth of data samples.
samples_default = 3600
samples = None
print_usage = False
verbose = False
default_loop_time = 0
loop_time = default_loop_time
run_lengths = False
host_default = "localhost"
mqargs = {"hostname": host_default}
username = None
password = None
if not arg_error:
if len(args) > 0:
arg_error = True
else:
for opt, arg in opts:
if opt == "-a":
samples = -1
elif opt == "-h":
print_usage = True
elif opt == "-n":
mqargs["hostname"] = arg
elif opt == "-p":
mqargs["port"] = int(arg)
elif opt == "-r":
run_lengths = True
elif opt == "-s":
samples = int(arg)
elif opt == "-t":
loop_time = float(arg)
elif opt == "-v":
verbose = True
elif opt == "-C":
mqargs["tls"] = {"ca_certs": arg}
elif opt == "-I":
if ssl_ok:
mqargs["tls"] = {"cert_reqs": ssl.CERT_NONE}
else:
print("No SSL support found")
sys.exit(1)
elif opt == "-P":
password = arg
elif opt == "-S":
mqargs["tls"] = {}
elif opt == "-U":
username = arg
if username is None and password is not None:
print("Password authentication requires username to be set")
arg_error = True
if print_usage or arg_error:
print("Usage: " + sys.argv[0] + " [options...]")
print("Options:")
print(" -a: Parse all valid samples")
print(" -h: Be helpful")
print(" -n <name>: Hostname of MQTT broker, default: " + host_default)
print(" -p <num>: Port number to use on MQTT broker")
print(" -r: Include ping drop run length stats")
print(" -s <num>: Number of data samples to parse, default: loop interval,")
print(" if set, else " + str(samples_default))
print(" -t <num>: Loop interval in seconds or 0 for no loop, default: " +
str(default_loop_time))
print(" -v: Be verbose")
print(" -C <filename>: Enable SSL/TLS using specified CA cert to verify broker")
print(" -I: Enable SSL/TLS but disable certificate verification (INSECURE!)")
print(" -P: Set password for username/password authentication")
print(" -S: Enable SSL/TLS using default CA cert")
print(" -U: Set username for authentication")
sys.exit(1 if arg_error else 0)
if samples is None:
samples = int(loop_time) if loop_time > 0 else samples_default
if username is not None:
mqargs["auth"] = {"username": username}
if password is not None:
mqargs["auth"]["password"] = password
logging.basicConfig(format="%(levelname)s: %(message)s")
class GlobalState:
pass
gstate = GlobalState()
gstate.dish_id = None
def conn_error(msg, *args):
# Connection errors that happen in an interval loop are not critical
# failures, but are interesting enough to print in non-verbose mode.
if loop_time > 0:
print(msg % args)
else:
logging.error(msg, *args)
def loop_body():
if gstate.dish_id is None:
try:
gstate.dish_id = starlink_grpc.get_id()
if verbose:
print("Using dish ID: " + gstate.dish_id)
except starlink_grpc.GrpcError as e:
conn_error("Failure getting dish ID: %s", str(e))
return 1
try:
g_stats, pd_stats, rl_stats = starlink_grpc.history_ping_stats(samples, verbose)
except starlink_grpc.GrpcError as e:
conn_error("Failure getting ping stats: %s", str(e))
return 1
topic_prefix = "starlink/dish_ping_stats/" + gstate.dish_id + "/"
msgs = [(topic_prefix + k, v, 0, False) for k, v in g_stats.items()]
msgs.extend([(topic_prefix + k, v, 0, False) for k, v in pd_stats.items()])
if run_lengths:
for k, v in rl_stats.items():
if k.startswith("run_"):
msgs.append((topic_prefix + k, ",".join(str(x) for x in v), 0, False))
else:
msgs.append((topic_prefix + k, v, 0, False))
try:
paho.mqtt.publish.multiple(msgs, client_id=gstate.dish_id, **mqargs)
if verbose:
print("Successfully published to MQTT broker")
except Exception as e:
conn_error("Failed publishing to MQTT broker: %s", str(e))
return 1
return 0
next_loop = time.monotonic()
while True:
rc = loop_body()
if loop_time > 0:
now = time.monotonic()
next_loop = max(next_loop + loop_time, now)
time.sleep(next_loop - now)
else:
break
sys.exit(rc)
if __name__ == '__main__':
main()

151
dishHistoryStats.py
View file

@ -1,151 +0,0 @@
#!/usr/bin/python3
######################################################################
#
# Equivalent script to parseJsonHistory.py, except integrating the
# gRPC calls, instead of relying on separate invocation of grpcurl.
#
# This script examines the most recent samples from the history data
# and computes several different metrics related to packet loss. By
# default, it will print the results in CSV format.
#
######################################################################
import datetime
import getopt
import logging
import sys
import time
import starlink_grpc
def main():
arg_error = False
try:
opts, args = getopt.getopt(sys.argv[1:], "ahrs:t:vH")
except getopt.GetoptError as err:
print(str(err))
arg_error = True
# Default to 1 hour worth of data samples.
samples_default = 3600
samples = None
print_usage = False
verbose = False
default_loop_time = 0
loop_time = default_loop_time
run_lengths = False
print_header = False
if not arg_error:
if len(args) > 0:
arg_error = True
else:
for opt, arg in opts:
if opt == "-a":
samples = -1
elif opt == "-h":
print_usage = True
elif opt == "-r":
run_lengths = True
elif opt == "-s":
samples = int(arg)
elif opt == "-t":
loop_time = float(arg)
elif opt == "-v":
verbose = True
elif opt == "-H":
print_header = True
if print_usage or arg_error:
print("Usage: " + sys.argv[0] + " [options...]")
print("Options:")
print(" -a: Parse all valid samples")
print(" -h: Be helpful")
print(" -r: Include ping drop run length stats")
print(" -s <num>: Number of data samples to parse, default: loop interval,")
print(" if set, else " + str(samples_default))
print(" -t <num>: Loop interval in seconds or 0 for no loop, default: " +
str(default_loop_time))
print(" -v: Be verbose")
print(" -H: print CSV header instead of parsing history data")
sys.exit(1 if arg_error else 0)
if samples is None:
samples = int(loop_time) if loop_time > 0 else samples_default
logging.basicConfig(format="%(levelname)s: %(message)s")
g_fields, pd_fields, rl_fields = starlink_grpc.history_ping_field_names()
if print_header:
header = ["datetimestamp_utc"]
header.extend(g_fields)
header.extend(pd_fields)
if run_lengths:
for field in rl_fields:
if field.startswith("run_"):
header.extend(field + "_" + str(x) for x in range(1, 61))
else:
header.append(field)
print(",".join(header))
sys.exit(0)
def loop_body():
timestamp = datetime.datetime.utcnow()
try:
g_stats, pd_stats, rl_stats = starlink_grpc.history_ping_stats(samples, verbose)
except starlink_grpc.GrpcError as e:
logging.error("Failure getting ping stats: %s", str(e))
return 1
if verbose:
print("Parsed samples: " + str(g_stats["samples"]))
print("Total ping drop: " + str(pd_stats["total_ping_drop"]))
print("Count of drop == 1: " + str(pd_stats["count_full_ping_drop"]))
print("Obstructed: " + str(pd_stats["count_obstructed"]))
print("Obstructed ping drop: " + str(pd_stats["total_obstructed_ping_drop"]))
print("Obstructed drop == 1: " + str(pd_stats["count_full_obstructed_ping_drop"]))
print("Unscheduled: " + str(pd_stats["count_unscheduled"]))
print("Unscheduled ping drop: " + str(pd_stats["total_unscheduled_ping_drop"]))
print("Unscheduled drop == 1: " + str(pd_stats["count_full_unscheduled_ping_drop"]))
if run_lengths:
print("Initial drop run fragment: " + str(rl_stats["init_run_fragment"]))
print("Final drop run fragment: " + str(rl_stats["final_run_fragment"]))
print("Per-second drop runs: " +
", ".join(str(x) for x in rl_stats["run_seconds"]))
print("Per-minute drop runs: " +
", ".join(str(x) for x in rl_stats["run_minutes"]))
if loop_time > 0:
print()
else:
csv_data = [timestamp.replace(microsecond=0).isoformat()]
csv_data.extend(str(g_stats[field]) for field in g_fields)
csv_data.extend(str(pd_stats[field]) for field in pd_fields)
if run_lengths:
for field in rl_fields:
if field.startswith("run_"):
csv_data.extend(str(substat) for substat in rl_stats[field])
else:
csv_data.append(str(rl_stats[field]))
print(",".join(csv_data))
return 0
next_loop = time.monotonic()
while True:
rc = loop_body()
if loop_time > 0:
now = time.monotonic()
next_loop = max(next_loop + loop_time, now)
time.sleep(next_loop - now)
else:
break
sys.exit(rc)
if __name__ == '__main__':
main()

147
dishStatusCsv.py
View file

@ -1,147 +0,0 @@
#!/usr/bin/python3
######################################################################
#
# Output Starlink user terminal status info in CSV format.
#
# This script pulls the current status and prints to stdout either
# once or in a periodic loop.
#
######################################################################
import datetime
import getopt
import logging
import sys
import time
import grpc
import spacex.api.device.device_pb2
import spacex.api.device.device_pb2_grpc
def main():
arg_error = False
try:
opts, args = getopt.getopt(sys.argv[1:], "ht:H")
except getopt.GetoptError as err:
print(str(err))
arg_error = True
print_usage = False
default_loop_time = 0
loop_time = default_loop_time
print_header = False
if not arg_error:
if len(args) > 0:
arg_error = True
else:
for opt, arg in opts:
if opt == "-h":
print_usage = True
elif opt == "-t":
loop_time = float(arg)
elif opt == "-H":
print_header = True
if print_usage or arg_error:
print("Usage: " + sys.argv[0] + " [options...]")
print("Options:")
print(" -h: Be helpful")
print(" -t <num>: Loop interval in seconds or 0 for no loop, default: " +
str(default_loop_time))
print(" -H: print CSV header instead of parsing file")
sys.exit(1 if arg_error else 0)
logging.basicConfig(format="%(levelname)s: %(message)s")
if print_header:
header = [
"datetimestamp_utc",
"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",
]
header.extend("wedges_fraction_obstructed_" + str(x) for x in range(12))
print(",".join(header))
sys.exit(0)
def loop_body():
timestamp = datetime.datetime.utcnow()
try:
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={}))
status = response.dish_get_status
# More alerts may be added in future, so rather than list them individually,
# build a bit field based on field numbers of the DishAlerts message.
alert_bits = 0
for alert in status.alerts.ListFields():
alert_bits |= (1 if alert[1] else 0) << (alert[0].number - 1)
csv_data = [
timestamp.replace(microsecond=0).isoformat(),
status.device_info.id,
status.device_info.hardware_version,
status.device_info.software_version,
spacex.api.device.dish_pb2.DishState.Name(status.state),
]
csv_data.extend(
str(x) for x in [
status.device_state.uptime_s,
status.snr,
status.seconds_to_first_nonempty_slot,
status.pop_ping_drop_rate,
status.downlink_throughput_bps,
status.uplink_throughput_bps,
status.pop_ping_latency_ms,
alert_bits,
status.obstruction_stats.fraction_obstructed,
status.obstruction_stats.currently_obstructed,
status.obstruction_stats.last_24h_obstructed_s,
])
csv_data.extend(str(x) for x in status.obstruction_stats.wedge_abs_fraction_obstructed)
rc = 0
except grpc.RpcError:
if loop_time <= 0:
logging.error("Failed getting status info")
csv_data = [
timestamp.replace(microsecond=0).isoformat(), "", "", "", "DISH_UNREACHABLE"
]
rc = 1
print(",".join(csv_data))
return rc
next_loop = time.monotonic()
while True:
rc = loop_body()
if loop_time > 0:
now = time.monotonic()
next_loop = max(next_loop + loop_time, now)
time.sleep(next_loop - now)
else:
break
sys.exit(rc)
if __name__ == '__main__':
main()

283
dishStatusInflux.py
View file

@ -1,283 +0,0 @@
#!/usr/bin/python3
######################################################################
#
# Write Starlink user terminal status info to an InfluxDB database.
#
# This script will poll current status and write it to the specified
# InfluxDB database either once or in a periodic loop.
#
######################################################################
import getopt
import logging
import os
import signal
import sys
import time
import warnings
import grpc
from influxdb import InfluxDBClient
from influxdb import SeriesHelper
import spacex.api.device.device_pb2
import spacex.api.device.device_pb2_grpc
class Terminated(Exception):
pass
def handle_sigterm(signum, frame):
# Turn SIGTERM into an exception so main loop can clean up
raise Terminated()
def main():
arg_error = False
try:
opts, args = getopt.getopt(sys.argv[1:], "hn:p:t:vC:D:IP:R:SU:")
except getopt.GetoptError as err:
print(str(err))
arg_error = True
print_usage = False
verbose = False
default_loop_time = 0
loop_time = default_loop_time
host_default = "localhost"
database_default = "starlinkstats"
icargs = {"host": host_default, "timeout": 5, "database": database_default}
rp = None
flush_limit = 6
# For each of these check they are both set and not empty string
influxdb_host = os.environ.get("INFLUXDB_HOST")
if influxdb_host:
icargs["host"] = influxdb_host
influxdb_port = os.environ.get("INFLUXDB_PORT")
if influxdb_port:
icargs["port"] = int(influxdb_port)
influxdb_user = os.environ.get("INFLUXDB_USER")
if influxdb_user:
icargs["username"] = influxdb_user
influxdb_pwd = os.environ.get("INFLUXDB_PWD")
if influxdb_pwd:
icargs["password"] = influxdb_pwd
influxdb_db = os.environ.get("INFLUXDB_DB")
if influxdb_db:
icargs["database"] = influxdb_db
influxdb_rp = os.environ.get("INFLUXDB_RP")
if influxdb_rp:
rp = influxdb_rp
influxdb_ssl = os.environ.get("INFLUXDB_SSL")
if influxdb_ssl:
icargs["ssl"] = True
if influxdb_ssl.lower() == "secure":
icargs["verify_ssl"] = True
elif influxdb_ssl.lower() == "insecure":
icargs["verify_ssl"] = False
else:
icargs["verify_ssl"] = influxdb_ssl
if not arg_error:
if len(args) > 0:
arg_error = True
else:
for opt, arg in opts:
if opt == "-h":
print_usage = True
elif opt == "-n":
icargs["host"] = arg
elif opt == "-p":
icargs["port"] = int(arg)
elif opt == "-t":
loop_time = int(arg)
elif opt == "-v":
verbose = True
elif opt == "-C":
icargs["ssl"] = True
icargs["verify_ssl"] = arg
elif opt == "-D":
icargs["database"] = arg
elif opt == "-I":
icargs["ssl"] = True
icargs["verify_ssl"] = False
elif opt == "-P":
icargs["password"] = arg
elif opt == "-R":
rp = arg
elif opt == "-S":
icargs["ssl"] = True
icargs["verify_ssl"] = True
elif opt == "-U":
icargs["username"] = arg
if "password" in icargs and "username" not in icargs:
print("Password authentication requires username to be set")
arg_error = True
if print_usage or arg_error:
print("Usage: " + sys.argv[0] + " [options...]")
print("Options:")
print(" -h: Be helpful")
print(" -n <name>: Hostname of InfluxDB server, default: " + host_default)
print(" -p <num>: Port number to use on InfluxDB server")
print(" -t <num>: Loop interval in seconds or 0 for no loop, default: " +
str(default_loop_time))
print(" -v: Be verbose")
print(" -C <filename>: Enable SSL/TLS using specified CA cert to verify server")
print(" -D <name>: Database name to use, default: " + database_default)
print(" -I: Enable SSL/TLS but disable certificate verification (INSECURE!)")
print(" -P <word>: Set password for authentication")
print(" -R <name>: Retention policy name to use")
print(" -S: Enable SSL/TLS using default CA cert")
print(" -U <name>: Set username for authentication")
sys.exit(1 if arg_error else 0)
logging.basicConfig(format="%(levelname)s: %(message)s")
class GlobalState:
pass
gstate = GlobalState()
gstate.dish_channel = None
gstate.dish_id = None
gstate.pending = 0
class DeviceStatusSeries(SeriesHelper):
class Meta:
series_name = "spacex.starlink.user_terminal.status"
fields = [
"hardware_version",
"software_version",
"state",
"alert_motors_stuck",
"alert_thermal_throttle",
"alert_thermal_shutdown",
"alert_unexpected_location",
"snr",
"seconds_to_first_nonempty_slot",
"pop_ping_drop_rate",
"downlink_throughput_bps",
"uplink_throughput_bps",
"pop_ping_latency_ms",
"currently_obstructed",
"fraction_obstructed",
]
tags = ["id"]
retention_policy = rp
def conn_error(msg, *args):
# Connection errors that happen in an interval loop are not critical
# failures, but are interesting enough to print in non-verbose mode.
if loop_time > 0:
print(msg % args)
else:
logging.error(msg, *args)
def flush_pending(client):
try:
DeviceStatusSeries.commit(client)
if verbose:
print("Data points written: " + str(gstate.pending))
gstate.pending = 0
except Exception as e:
conn_error("Failed writing to InfluxDB database: %s", str(e))
return 1
return 0
def get_status_retry():
"""Try getting the status at most twice"""
channel_reused = True
while True:
try:
if gstate.dish_channel is None:
gstate.dish_channel = grpc.insecure_channel("192.168.100.1:9200")
channel_reused = False
stub = spacex.api.device.device_pb2_grpc.DeviceStub(gstate.dish_channel)
response = stub.Handle(spacex.api.device.device_pb2.Request(get_status={}))
return response.dish_get_status
except grpc.RpcError:
gstate.dish_channel.close()
gstate.dish_channel = None
if channel_reused:
# If the channel was open already, the connection may have
# been lost in the time since prior loop iteration, so after
# closing it, retry once, in case the dish is now reachable.
if verbose:
print("Dish RPC channel error")
else:
raise
def loop_body(client):
try:
status = get_status_retry()
DeviceStatusSeries(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),
alert_motors_stuck=status.alerts.motors_stuck,
alert_thermal_throttle=status.alerts.thermal_throttle,
alert_thermal_shutdown=status.alerts.thermal_shutdown,
alert_unexpected_location=status.alerts.unexpected_location,
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,
currently_obstructed=status.obstruction_stats.currently_obstructed,
fraction_obstructed=status.obstruction_stats.fraction_obstructed)
gstate.dish_id = status.device_info.id
except grpc.RpcError:
if gstate.dish_id is None:
conn_error("Dish unreachable and ID unknown, so not recording state")
return 1
else:
if verbose:
print("Dish unreachable")
DeviceStatusSeries(id=gstate.dish_id, state="DISH_UNREACHABLE")
gstate.pending += 1
if verbose:
print("Data points queued: " + str(gstate.pending))
if gstate.pending >= flush_limit:
return flush_pending(client)
return 0
if "verify_ssl" in icargs and not icargs["verify_ssl"]:
# user has explicitly said be insecure, so don't warn about it
warnings.filterwarnings("ignore", message="Unverified HTTPS request")
signal.signal(signal.SIGTERM, handle_sigterm)
influx_client = InfluxDBClient(**icargs)
try:
next_loop = time.monotonic()
while True:
rc = loop_body(influx_client)
if loop_time > 0:
now = time.monotonic()
next_loop = max(next_loop + loop_time, now)
time.sleep(next_loop - now)
else:
break
except Terminated:
pass
finally:
# Flush on error/exit
if gstate.pending:
rc = flush_pending(influx_client)
influx_client.close()
if gstate.dish_channel is not None:
gstate.dish_channel.close()
sys.exit(rc)
if __name__ == '__main__':
main()

188
dishStatusMqtt.py
View file

@ -1,188 +0,0 @@
#!/usr/bin/python3
######################################################################
#
# Publish Starlink user terminal status info to a MQTT broker.
#
# This script pulls the current status and publishes it to the
# specified MQTT broker either once or in a periodic loop.
#
######################################################################
import getopt
import logging
import sys
import time
try:
import ssl
ssl_ok = True
except ImportError:
ssl_ok = False
import grpc
import paho.mqtt.publish
import spacex.api.device.device_pb2
import spacex.api.device.device_pb2_grpc
def main():
arg_error = False
try:
opts, args = getopt.getopt(sys.argv[1:], "hn:p:t:vC:ISP:U:")
except getopt.GetoptError as err:
print(str(err))
arg_error = True
print_usage = False
verbose = False
default_loop_time = 0
loop_time = default_loop_time
host_default = "localhost"
mqargs = {"hostname": host_default}
username = None
password = None
if not arg_error:
if len(args) > 0:
arg_error = True
else:
for opt, arg in opts:
if opt == "-h":
print_usage = True
elif opt == "-n":
mqargs["hostname"] = arg
elif opt == "-p":
mqargs["port"] = int(arg)
elif opt == "-t":
loop_time = float(arg)
elif opt == "-v":
verbose = True
elif opt == "-C":
mqargs["tls"] = {"ca_certs": arg}
elif opt == "-I":
if ssl_ok:
mqargs["tls"] = {"cert_reqs": ssl.CERT_NONE}
else:
print("No SSL support found")
sys.exit(1)
elif opt == "-P":
password = arg
elif opt == "-S":
mqargs["tls"] = {}
elif opt == "-U":
username = arg
if username is None and password is not None:
print("Password authentication requires username to be set")
arg_error = True
if print_usage or arg_error:
print("Usage: " + sys.argv[0] + " [options...]")
print("Options:")
print(" -h: Be helpful")
print(" -n <name>: Hostname of MQTT broker, default: " + host_default)
print(" -p <num>: Port number to use on MQTT broker")
print(" -t <num>: Loop interval in seconds or 0 for no loop, default: " +
str(default_loop_time))
print(" -v: Be verbose")
print(" -C <filename>: Enable SSL/TLS using specified CA cert to verify broker")
print(" -I: Enable SSL/TLS but disable certificate verification (INSECURE!)")
print(" -P: Set password for username/password authentication")
print(" -S: Enable SSL/TLS using default CA cert")
print(" -U: Set username for authentication")
sys.exit(1 if arg_error else 0)
if username is not None:
mqargs["auth"] = {"username": username}
if password is not None:
mqargs["auth"]["password"] = password
logging.basicConfig(format="%(levelname)s: %(message)s")
class GlobalState:
pass
gstate = GlobalState()
gstate.dish_id = None
def conn_error(msg, *args):
# Connection errors that happen in an interval loop are not critical
# failures, but are interesting enough to print in non-verbose mode.
if loop_time > 0:
print(msg % args)
else:
logging.error(msg, *args)
def loop_body():
try:
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={}))
status = response.dish_get_status
# More alerts may be added in future, so rather than list them individually,
# build a bit field based on field numbers of the DishAlerts message.
alert_bits = 0
for alert in status.alerts.ListFields():
alert_bits |= (1 if alert[1] else 0) << (alert[0].number - 1)
gstate.dish_id = status.device_info.id
topic_prefix = "starlink/dish_status/" + gstate.dish_id + "/"
msgs = [
(topic_prefix + "hardware_version", status.device_info.hardware_version, 0, False),
(topic_prefix + "software_version", status.device_info.software_version, 0, False),
(topic_prefix + "state", spacex.api.device.dish_pb2.DishState.Name(status.state), 0, False),
(topic_prefix + "uptime", status.device_state.uptime_s, 0, False),
(topic_prefix + "snr", status.snr, 0, False),
(topic_prefix + "seconds_to_first_nonempty_slot", status.seconds_to_first_nonempty_slot, 0, False),
(topic_prefix + "pop_ping_drop_rate", status.pop_ping_drop_rate, 0, False),
(topic_prefix + "downlink_throughput_bps", status.downlink_throughput_bps, 0, False),
(topic_prefix + "uplink_throughput_bps", status.uplink_throughput_bps, 0, False),
(topic_prefix + "pop_ping_latency_ms", status.pop_ping_latency_ms, 0, False),
(topic_prefix + "alerts", alert_bits, 0, False),
(topic_prefix + "fraction_obstructed", status.obstruction_stats.fraction_obstructed, 0, False),
(topic_prefix + "currently_obstructed", status.obstruction_stats.currently_obstructed, 0, False),
# While the field name for this one implies it covers 24 hours, the
# empirical evidence suggests it only covers 12 hours. It also resets
# on dish reboot, so may not cover that whole period. Rather than try
# to convey that complexity in the topic label, just be a bit vague:
(topic_prefix + "seconds_obstructed", status.obstruction_stats.last_24h_obstructed_s, 0, False),
(topic_prefix + "wedges_fraction_obstructed", ",".join(str(x) for x in status.obstruction_stats.wedge_abs_fraction_obstructed), 0, False),
]
except grpc.RpcError:
if gstate.dish_id is None:
conn_error("Dish unreachable and ID unknown, so not recording state")
return 1
if verbose:
print("Dish unreachable")
topic_prefix = "starlink/dish_status/" + gstate.dish_id + "/"
msgs = [(topic_prefix + "state", "DISH_UNREACHABLE", 0, False)]
try:
paho.mqtt.publish.multiple(msgs, client_id=gstate.dish_id, **mqargs)
if verbose:
print("Successfully published to MQTT broker")
except Exception as e:
conn_error("Failed publishing to MQTT broker: %s", str(e))
return 1
return 0
next_loop = time.monotonic()
while True:
rc = loop_body()
if loop_time > 0:
now = time.monotonic()
next_loop = max(next_loop + loop_time, now)
time.sleep(next_loop - now)
else:
break
sys.exit(rc)
if __name__ == '__main__':
main()

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"""Shared code among the dish_grpc_* commands
Note:
This module is not intended to be generically useful or to export a stable
interface. Rather, it should be considered an implementation detail of the
other scripts, and will change as needed.
For a module that exports an interface intended for general use, see
starlink_grpc.
"""
import argparse
from datetime import datetime
from datetime import timezone
import logging
import re
import time
import starlink_grpc
BRACKETS_RE = re.compile(r"([^[]*)(\[((\d+),|)(\d*)\]|)$")
SAMPLES_DEFAULT = 3600
LOOP_TIME_DEFAULT = 0
STATUS_MODES = ["status", "obstruction_detail", "alert_detail"]
HISTORY_STATS_MODES = [
"ping_drop", "ping_run_length", "ping_latency", "ping_loaded_latency", "usage"
]
UNGROUPED_MODES = []
def create_arg_parser(output_description, bulk_history=True):
"""Create an argparse parser and add the common command line options."""
parser = argparse.ArgumentParser(
description="Collect status and/or history data from a Starlink user terminal and " +
output_description,
epilog="Additional arguments can be read from a file by including @FILENAME as an "
"option, where FILENAME is a path to a file that contains arguments, one per line.",
fromfile_prefix_chars="@",
add_help=False)
# need to remember this for later
parser.bulk_history = bulk_history
group = parser.add_argument_group(title="General options")
group.add_argument("-h", "--help", action="help", help="Be helpful")
group.add_argument("-t",
"--loop-interval",
type=float,
default=float(LOOP_TIME_DEFAULT),
help="Loop interval in seconds or 0 for no loop, default: " +
str(LOOP_TIME_DEFAULT))
group.add_argument("-v", "--verbose", action="store_true", help="Be verbose")
group = parser.add_argument_group(title="History mode options")
group.add_argument("-a",
"--all-samples",
action="store_const",
const=-1,
dest="samples",
help="Parse all valid samples")
if bulk_history:
sample_help = ("Number of data samples to parse; in bulk mode, applies to first loop "
"iteration only, default: -1 in bulk mode, loop interval if loop interval "
"set, else " + str(SAMPLES_DEFAULT))
else:
sample_help = ("Number of data samples to parse, default: loop interval, if set, else " +
str(SAMPLES_DEFAULT))
group.add_argument("-s", "--samples", type=int, help=sample_help)
return parser
def run_arg_parser(parser, need_id=False, no_stdout_errors=False):
"""Run parse_args on a parser previously created with create_arg_parser
Args:
need_id (bool): A flag to set in options to indicate whether or not to
set dish_id on the global state object; see get_data for more
detail.
no_stdout_errors (bool): A flag set in options to protect stdout from
error messages, in case that's where the data output is going, so
may be being redirected to a file.
Returns:
An argparse Namespace object with the parsed options set as attributes.
"""
all_modes = STATUS_MODES + HISTORY_STATS_MODES + UNGROUPED_MODES
if parser.bulk_history:
all_modes.append("bulk_history")
parser.add_argument("mode",
nargs="+",
choices=all_modes,
help="The data group to record, one or more of: " + ", ".join(all_modes),
metavar="mode")
opts = parser.parse_args()
# for convenience, set flags for whether any mode in a group is selected
opts.satus_mode = bool(set(STATUS_MODES).intersection(opts.mode))
opts.history_stats_mode = bool(set(HISTORY_STATS_MODES).intersection(opts.mode))
opts.bulk_mode = "bulk_history" in opts.mode
if opts.samples is None:
opts.samples = -1 if opts.bulk_mode else int(
opts.loop_interval) if opts.loop_interval >= 1.0 else SAMPLES_DEFAULT
opts.no_stdout_errors = no_stdout_errors
opts.need_id = need_id
return opts
def conn_error(opts, msg, *args):
"""Indicate an error in an appropriate way."""
# Connection errors that happen in an interval loop are not critical
# failures, but are interesting enough to print in non-verbose mode.
if opts.loop_interval > 0.0 and not opts.no_stdout_errors:
print(msg % args)
else:
logging.error(msg, *args)
class GlobalState:
"""A class for keeping state across loop iterations."""
def __init__(self):
self.counter = None
self.timestamp = None
self.dish_id = None
self.context = starlink_grpc.ChannelContext()
def shutdown(self):
self.context.close()
def get_data(opts, gstate, add_item, add_sequence, add_bulk=None):
"""Fetch data from the dish, pull it apart and call back with the pieces.
This function uses call backs to return the useful data. If need_id is set
in opts, then it is guaranteed that dish_id will have been set in gstate
prior to any of the call backs being invoked.
Args:
opts (object): The options object returned from run_arg_parser.
gstate (GlobalState): An object for keeping track of state across
multiple calls.
add_item (function): Call back for non-sequence data, with prototype:
add_item(name, value, category)
add_sequence (function): Call back for sequence data, with prototype:
add_sequence(name, value, category, start_index_label)
add_bulk (function): Optional. Call back for bulk history data, with
prototype:
add_bulk(bulk_data, count, start_timestamp, start_counter)
Returns:
1 if there were any failures getting data from the dish, otherwise 0.
"""
def add_data(data, category):
for key, val in data.items():
name, start, seq = BRACKETS_RE.match(key).group(1, 4, 5)
if seq is None:
add_item(name, val, category)
else:
add_sequence(name, val, category, int(start) if start else 0)
if opts.satus_mode:
try:
groups = starlink_grpc.status_data(context=gstate.context)
status_data, obstruct_detail, alert_detail = groups[0:3]
except starlink_grpc.GrpcError as e:
if "status" in opts.mode:
if opts.need_id and gstate.dish_id is None:
conn_error(opts, "Dish unreachable and ID unknown, so not recording state")
else:
if opts.verbose:
print("Dish unreachable")
if "status" in opts.mode:
add_item("state", "DISH_UNREACHABLE", "status")
return 0
return 1
if opts.need_id:
gstate.dish_id = status_data["id"]
del status_data["id"]
if "status" in opts.mode:
add_data(status_data, "status")
if "obstruction_detail" in opts.mode:
add_data(obstruct_detail, "status")
if "alert_detail" in opts.mode:
add_data(alert_detail, "status")
elif opts.need_id and gstate.dish_id is None:
try:
gstate.dish_id = starlink_grpc.get_id(context=gstate.context)
except starlink_grpc.GrpcError as e:
conn_error(opts, "Failure getting dish ID: %s", str(e))
return 1
if opts.verbose:
print("Using dish ID: " + gstate.dish_id)
if opts.history_stats_mode:
try:
groups = starlink_grpc.history_stats(opts.samples, opts.verbose, context=gstate.context)
general, ping, runlen, latency, loaded, usage = groups[0:6]
except starlink_grpc.GrpcError as e:
conn_error(opts, "Failure getting ping stats: %s", str(e))
return 1
add_data(general, "ping_stats")
if "ping_drop" in opts.mode:
add_data(ping, "ping_stats")
if "ping_run_length" in opts.mode:
add_data(runlen, "ping_stats")
if "ping_latency" in opts.mode:
add_data(latency, "ping_stats")
if "ping_loaded_latency" in opts.mode:
add_data(loaded, "ping_stats")
if "usage" in opts.mode:
add_data(usage, "usage")
if opts.bulk_mode and add_bulk:
return get_bulk_data(opts, gstate, add_bulk)
return 0
def get_bulk_data(opts, gstate, add_bulk):
"""Fetch bulk data. See `get_data` for details.
This was split out in case bulk data needs to be handled separately, for
example, if dish_id needs to be known before calling.
"""
before = time.time()
start = gstate.counter
parse_samples = opts.samples if start is None else -1
try:
general, bulk = starlink_grpc.history_bulk_data(parse_samples,
start=start,
verbose=opts.verbose,
context=gstate.context)
except starlink_grpc.GrpcError as e:
conn_error(opts, "Failure getting history: %s", str(e))
return 1
after = time.time()
parsed_samples = general["samples"]
new_counter = general["end_counter"]
timestamp = gstate.timestamp
# check this first, so it doesn't report as lost time sync
if gstate.counter is not None and new_counter != gstate.counter + parsed_samples:
timestamp = None
# Allow up to 2 seconds of time drift before forcibly re-syncing, since
# +/- 1 second can happen just due to scheduler timing.
if timestamp is not None and not before - 2.0 <= timestamp + parsed_samples <= after + 2.0:
if opts.verbose:
print("Lost sample time sync at: " +
str(datetime.fromtimestamp(timestamp + parsed_samples, tz=timezone.utc)))
timestamp = None
if timestamp is None:
timestamp = int(before)
if opts.verbose:
print("Establishing new time base: {0} -> {1}".format(
new_counter, datetime.fromtimestamp(timestamp, tz=timezone.utc)))
timestamp -= parsed_samples
add_bulk(bulk, parsed_samples, timestamp, new_counter - parsed_samples)
gstate.counter = new_counter
gstate.timestamp = timestamp + parsed_samples

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#!/usr/bin/python3
"""Write Starlink user terminal data to an InfluxDB database.
This script pulls the current status info and/or metrics computed from the
history data and writes them to the specified InfluxDB database either once
or in a periodic loop.
NOTE: The Starlink user terminal does not include time values with its
history or status data, so this script uses current system time to compute
the timestamps it sends to InfluxDB. It is recommended to run this script on
a host that has its system clock synced via NTP. Otherwise, the timestamps
may get out of sync with real time.
"""
from datetime import datetime
from datetime import timezone
import logging
import os
import signal
import sys
import time
import warnings
from influxdb import InfluxDBClient
import dish_common
HOST_DEFAULT = "localhost"
DATABASE_DEFAULT = "starlinkstats"
BULK_MEASUREMENT = "spacex.starlink.user_terminal.history"
FLUSH_LIMIT = 6
MAX_BATCH = 5000
MAX_QUEUE_LENGTH = 864000
class Terminated(Exception):
pass
def handle_sigterm(signum, frame):
# Turn SIGTERM into an exception so main loop can clean up
raise Terminated
def parse_args():
parser = dish_common.create_arg_parser(output_description="write it to an InfluxDB database")
group = parser.add_argument_group(title="InfluxDB database options")
group.add_argument("-n",
"--hostname",
default=HOST_DEFAULT,
dest="host",
help="Hostname of MQTT broker, default: " + HOST_DEFAULT)
group.add_argument("-p", "--port", type=int, help="Port number to use on MQTT broker")
group.add_argument("-P", "--password", help="Set password for username/password authentication")
group.add_argument("-U", "--username", help="Set username for authentication")
group.add_argument("-D",
"--database",
default=DATABASE_DEFAULT,
help="Database name to use, default: " + DATABASE_DEFAULT)
group.add_argument("-R", "--retention-policy", help="Retention policy name to use")
group.add_argument("-k",
"--skip-query",
action="store_true",
help="Skip querying for prior sample write point in bulk mode")
group.add_argument("-C",
"--ca-cert",
dest="verify_ssl",
help="Enable SSL/TLS using specified CA cert to verify broker",
metavar="FILENAME")
group.add_argument("-I",
"--insecure",
action="store_false",
dest="verify_ssl",
help="Enable SSL/TLS but disable certificate verification (INSECURE!)")
group.add_argument("-S",
"--secure",
action="store_true",
dest="verify_ssl",
help="Enable SSL/TLS using default CA cert")
env_map = (
("INFLUXDB_HOST", "host"),
("INFLUXDB_PORT", "port"),
("INFLUXDB_USER", "username"),
("INFLUXDB_PWD", "password"),
("INFLUXDB_DB", "database"),
("INFLUXDB_RP", "retention-policy"),
("INFLUXDB_SSL", "verify_ssl"),
)
env_defaults = {}
for var, opt in env_map:
# check both set and not empty string
val = os.environ.get(var)
if val:
if var == "INFLUXDB_SSL" and val == "secure":
env_defaults[opt] = True
elif var == "INFLUXDB_SSL" and val == "insecure":
env_defaults[opt] = False
else:
env_defaults[opt] = val
parser.set_defaults(**env_defaults)
opts = dish_common.run_arg_parser(parser, need_id=True)
if opts.username is None and opts.password is not None:
parser.error("Password authentication requires username to be set")
opts.icargs = {"timeout": 5}
for key in ["port", "host", "password", "username", "database", "verify_ssl"]:
val = getattr(opts, key)
if val is not None:
opts.icargs[key] = val
if opts.verify_ssl is not None:
opts.icargs["ssl"] = True
return opts
def flush_points(opts, gstate):
try:
while len(gstate.points) > MAX_BATCH:
gstate.influx_client.write_points(gstate.points[:MAX_BATCH],
time_precision="s",
retention_policy=opts.retention_policy)
if opts.verbose:
print("Data points written: " + str(MAX_BATCH))
del gstate.points[:MAX_BATCH]
if gstate.points:
gstate.influx_client.write_points(gstate.points,
time_precision="s",
retention_policy=opts.retention_policy)
if opts.verbose:
print("Data points written: " + str(len(gstate.points)))
gstate.points.clear()
except Exception as e:
dish_common.conn_error(opts, "Failed writing to InfluxDB database: %s", str(e))
# If failures persist, don't just use infinite memory. Max queue
# is currently 10 days of bulk data, so something is very wrong
# if it's ever exceeded.
if len(gstate.points) > MAX_QUEUE_LENGTH:
logging.error("Max write queue exceeded, discarding data.")
del gstate.points[:-MAX_QUEUE_LENGTH]
return 1
return 0
def query_counter(gstate, start, end):
try:
# fetch the latest point where counter field was recorded
result = gstate.influx_client.query("SELECT counter FROM \"{0}\" "
"WHERE time>={1}s AND time<{2}s AND id=$id "
"ORDER by time DESC LIMIT 1;".format(
BULK_MEASUREMENT, start, end),
bind_params={"id": gstate.dish_id},
epoch="s")
points = list(result.get_points())
if points:
counter = points[0].get("counter", None)
timestamp = points[0].get("time", 0)
if counter and timestamp:
return int(counter), int(timestamp)
except TypeError as e:
# bind_params was added in influxdb-python v5.2.3. That would be easy
# enough to work around, but older versions had other problems with
# query(), so just skip this functionality.
logging.error(
"Failed running query, probably due to influxdb-python version too old. "
"Skipping resumption from prior counter value. Reported error was: %s", str(e))
return None, 0
def sync_timebase(opts, gstate):
try:
db_counter, db_timestamp = query_counter(gstate, gstate.start_timestamp, gstate.timestamp)
except Exception as e:
# could be temporary outage, so try again next time
dish_common.conn_error(opts, "Failed querying InfluxDB for prior count: %s", str(e))
return
gstate.timebase_synced = True
if db_counter and gstate.start_counter <= db_counter:
del gstate.deferred_points[:db_counter - gstate.start_counter]
if gstate.deferred_points:
delta_timestamp = db_timestamp - (gstate.deferred_points[0]["time"] - 1)
# to prevent +/- 1 second timestamp drift when the script restarts,
# if time base is within 2 seconds of that of the last sample in
# the database, correct back to that time base
if delta_timestamp == 0:
if opts.verbose:
print("Exactly synced with database time base")
elif -2 <= delta_timestamp <= 2:
if opts.verbose:
print("Replacing with existing time base: {0} -> {1}".format(
db_counter, datetime.fromtimestamp(db_timestamp, tz=timezone.utc)))
for point in gstate.deferred_points:
db_timestamp += 1
if point["time"] + delta_timestamp == db_timestamp:
point["time"] = db_timestamp
else:
# lost time sync when recording data, leave the rest
break
else:
gstate.timestamp = db_timestamp
else:
if opts.verbose:
print("Database time base out of sync by {0} seconds".format(delta_timestamp))
gstate.points.extend(gstate.deferred_points)
gstate.deferred_points.clear()
def loop_body(opts, gstate):
fields = {"status": {}, "ping_stats": {}, "usage": {}}
def cb_add_item(key, val, category):
fields[category][key] = val
def cb_add_sequence(key, val, category, start):
for i, subval in enumerate(val, start=start):
fields[category]["{0}_{1}".format(key, i)] = subval
def cb_add_bulk(bulk, count, timestamp, counter):
if gstate.start_timestamp is None:
gstate.start_timestamp = timestamp
gstate.start_counter = counter
points = gstate.points if gstate.timebase_synced else gstate.deferred_points
for i in range(count):
timestamp += 1
points.append({
"measurement": BULK_MEASUREMENT,
"tags": {
"id": gstate.dish_id
},
"time": timestamp,
"fields": {key: val[i] for key, val in bulk.items() if val[i] is not None},
})
if points:
# save off counter value for script restart
points[-1]["fields"]["counter"] = counter + count
now = time.time()
rc = dish_common.get_data(opts, gstate, cb_add_item, cb_add_sequence, add_bulk=cb_add_bulk)
if rc:
return rc
for category in fields:
if fields[category]:
gstate.points.append({
"measurement": "spacex.starlink.user_terminal." + category,
"tags": {
"id": gstate.dish_id
},
"time": int(now),
"fields": fields[category],
})
# This is here and not before the points being processed because if the
# query previously failed, there will be points that were processed in
# a prior loop. This avoids having to handle that as a special case.
if opts.bulk_mode and not gstate.timebase_synced:
sync_timebase(opts, gstate)
if opts.verbose:
print("Data points queued: " + str(len(gstate.points)))
if len(gstate.points) >= FLUSH_LIMIT:
return flush_points(opts, gstate)
return 0
def main():
opts = parse_args()
logging.basicConfig(format="%(levelname)s: %(message)s")
gstate = dish_common.GlobalState()
gstate.points = []
gstate.deferred_points = []
gstate.timebase_synced = opts.skip_query
gstate.start_timestamp = None
gstate.start_counter = None
if "verify_ssl" in opts.icargs and not opts.icargs["verify_ssl"]:
# user has explicitly said be insecure, so don't warn about it
warnings.filterwarnings("ignore", message="Unverified HTTPS request")
signal.signal(signal.SIGTERM, handle_sigterm)
try:
# attempt to hack around breakage between influxdb-python client and 2.0 server:
gstate.influx_client = InfluxDBClient(**opts.icargs, headers={"Accept": "application/json"})
except TypeError:
# ...unless influxdb-python package version is too old
gstate.influx_client = InfluxDBClient(**opts.icargs)
try:
next_loop = time.monotonic()
while True:
rc = loop_body(opts, gstate)
if opts.loop_interval > 0.0:
now = time.monotonic()
next_loop = max(next_loop + opts.loop_interval, now)
time.sleep(next_loop - now)
else:
break
except Terminated:
pass
finally:
if gstate.points:
rc = flush_points(opts, gstate)
gstate.influx_client.close()
gstate.shutdown()
sys.exit(rc)
if __name__ == '__main__':
main()

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#!/usr/bin/python3
"""Publish Starlink user terminal data to a MQTT broker.
This script pulls the current status info and/or metrics computed from the
history data and publishes them to the specified MQTT broker either once or
in a periodic loop.
"""
import logging
import sys
import time
try:
import ssl
ssl_ok = True
except ImportError:
ssl_ok = False
import paho.mqtt.publish
import dish_common
HOST_DEFAULT = "localhost"
def parse_args():
parser = dish_common.create_arg_parser(output_description="publish it to a MQTT broker",
bulk_history=False)
group = parser.add_argument_group(title="MQTT broker options")
group.add_argument("-n",
"--hostname",
default=HOST_DEFAULT,
help="Hostname of MQTT broker, default: " + HOST_DEFAULT)
group.add_argument("-p", "--port", type=int, help="Port number to use on MQTT broker")
group.add_argument("-P", "--password", help="Set password for username/password authentication")
group.add_argument("-U", "--username", help="Set username for authentication")
if ssl_ok:
def wrap_ca_arg(arg):
return {"ca_certs": arg}
group.add_argument("-C",
"--ca-cert",
type=wrap_ca_arg,
dest="tls",
help="Enable SSL/TLS using specified CA cert to verify broker",
metavar="FILENAME")
group.add_argument("-I",
"--insecure",
action="store_const",
const={"cert_reqs": ssl.CERT_NONE},
dest="tls",
help="Enable SSL/TLS but disable certificate verification (INSECURE!)")
group.add_argument("-S",
"--secure",
action="store_const",
const={},
dest="tls",
help="Enable SSL/TLS using default CA cert")
else:
parser.epilog += "\nSSL support options not available due to missing ssl module"
opts = dish_common.run_arg_parser(parser, need_id=True)
if opts.username is None and opts.password is not None:
parser.error("Password authentication requires username to be set")
opts.mqargs = {}
for key in ["hostname", "port", "tls"]:
val = getattr(opts, key)
if val is not None:
opts.mqargs[key] = val
if opts.username is not None:
opts.mqargs["auth"] = {"username": opts.username}
if opts.password is not None:
opts.mqargs["auth"]["password"] = opts.password
return opts
def loop_body(opts, gstate):
msgs = []
def cb_add_item(key, val, category):
msgs.append(("starlink/dish_{0}/{1}/{2}".format(category, gstate.dish_id,
key), val, 0, False))
def cb_add_sequence(key, val, category, _):
msgs.append(
("starlink/dish_{0}/{1}/{2}".format(category, gstate.dish_id,
key), ",".join(str(x) for x in val), 0, False))
rc = dish_common.get_data(opts, gstate, cb_add_item, cb_add_sequence)
if msgs:
try:
paho.mqtt.publish.multiple(msgs, client_id=gstate.dish_id, **opts.mqargs)
if opts.verbose:
print("Successfully published to MQTT broker")
except Exception as e:
dish_common.conn_error(opts, "Failed publishing to MQTT broker: %s", str(e))
rc = 1
return rc
def main():
opts = parse_args()
logging.basicConfig(format="%(levelname)s: %(message)s")
gstate = dish_common.GlobalState()
try:
next_loop = time.monotonic()
while True:
rc = loop_body(opts, gstate)
if opts.loop_interval > 0.0:
now = time.monotonic()
next_loop = max(next_loop + opts.loop_interval, now)
time.sleep(next_loop - now)
else:
break
finally:
gstate.shutdown()
sys.exit(rc)
if __name__ == '__main__':
main()

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#!/usr/bin/python3
"""Write Starlink user terminal data to a sqlite database.
This script pulls the current status info and/or metrics computed from the
history data and writes them to the specified sqlite database either once or
in a periodic loop.
Array data is currently written to the database as text strings of comma-
separated values, which may not be the best method for some use cases. If you
find yourself wishing they were handled better, please open a feature request
at https://github.com/sparky8512/starlink-grpc-tools/issues explaining the use
case and how you would rather see it. This only affects a few fields, since
most of the useful data is not in arrays.
NOTE: The Starlink user terminal does not include time values with its
history or status data, so this script uses current system time to compute
the timestamps it writes into the database. It is recommended to run this
script on a host that has its system clock synced via NTP. Otherwise, the
timestamps may get out of sync with real time.
"""
from datetime import datetime
from datetime import timezone
from itertools import repeat
import logging
import signal
import sqlite3
import sys
import time
import dish_common
import starlink_grpc
SCHEMA_VERSION = 1
class Terminated(Exception):
pass
def handle_sigterm(signum, frame):
# Turn SIGTERM into an exception so main loop can clean up
raise Terminated
def parse_args():
parser = dish_common.create_arg_parser(output_description="write it to a sqlite database")
parser.add_argument("database", help="Database file to use")
group = parser.add_argument_group(title="sqlite database options")
group.add_argument("-k",
"--skip-query",
action="store_true",
help="Skip querying for prior sample write point in bulk mode")
opts = dish_common.run_arg_parser(parser, need_id=True)
return opts
def query_counter(opts, gstate):
now = time.time()
cur = gstate.sql_conn.cursor()
cur.execute(
'SELECT "time", "counter" FROM "history" WHERE "time"<? AND "id"=? '
'ORDER BY "time" DESC LIMIT 1', (now, gstate.dish_id))
row = cur.fetchone()
cur.close()
if row and row[0] and row[1]:
if opts.verbose:
print("Existing time base: {0} -> {1}".format(
row[1], datetime.fromtimestamp(row[0], tz=timezone.utc)))
return row
else:
return 0, None
def loop_body(opts, gstate):
tables = {"status": {}, "ping_stats": {}, "usage": {}}
hist_cols = ["time", "id"]
hist_rows = []
def cb_add_item(key, val, category):
tables[category][key] = val
def cb_add_sequence(key, val, category, start):
tables[category][key] = ",".join(str(subv) if subv is not None else "" for subv in val)
def cb_add_bulk(bulk, count, timestamp, counter):
nonlocal hist_cols
if len(hist_cols) == 2:
hist_cols.extend(bulk.keys())
hist_cols.append("counter")
for i in range(count):
timestamp += 1
counter += 1
row = [timestamp, gstate.dish_id]
row.extend(val[i] for val in bulk.values())
row.append(counter)
hist_rows.append(row)
now = int(time.time())
rc = dish_common.get_data(opts, gstate, cb_add_item, cb_add_sequence)
if opts.bulk_mode and not rc:
if gstate.counter is None and opts.samples < 0:
gstate.timestamp, gstate.counter = query_counter(opts, gstate)
rc = dish_common.get_bulk_data(opts, gstate, cb_add_bulk)
rows_written = 0
try:
cur = gstate.sql_conn.cursor()
for category, fields in tables.items():
if fields:
sql = 'INSERT OR REPLACE INTO "{0}" ("time","id",{1}) VALUES ({2})'.format(
category, ",".join('"' + x + '"' for x in fields),
",".join(repeat("?",
len(fields) + 2)))
values = [now, gstate.dish_id]
values.extend(fields.values())
cur.execute(sql, values)
rows_written += 1
if hist_rows:
sql = 'INSERT OR REPLACE INTO "history" ({0}) VALUES({1})'.format(
",".join('"' + x + '"' for x in hist_cols), ",".join(repeat("?", len(hist_cols))))
cur.executemany(sql, hist_rows)
rows_written += len(hist_rows)
cur.close()
gstate.sql_conn.commit()
except sqlite3.OperationalError as e:
# these are not necessarily fatal, but also not much can do about
logging.error("Unexpected error from database, discarding %s rows: %s", rows_written, e)
rc = 1
else:
if opts.verbose:
print("Rows written to db:", rows_written)
return rc
def ensure_schema(opts, conn):
cur = conn.cursor()
cur.execute("PRAGMA user_version")
version = cur.fetchone()
if version and version[0] == SCHEMA_VERSION:
cur.close()
return
if opts.verbose:
if version[0]:
print("Upgrading schema from version:", version)
else:
print("Initializing new database")
# If/when more fields get added or changed, the schema will have changed
# and this will have to handle the upgrade case. For now, just create the
# new tables.
tables = {}
name_groups = starlink_grpc.status_field_names()
type_groups = starlink_grpc.status_field_types()
tables["status"] = zip(name_groups, type_groups)
name_groups = starlink_grpc.history_stats_field_names()
type_groups = starlink_grpc.history_stats_field_types()
tables["ping_stats"] = zip(name_groups[0:5], type_groups[0:5])
tables["usage"] = ((name_groups[5], type_groups[5]),)
name_groups = starlink_grpc.history_bulk_field_names()
type_groups = starlink_grpc.history_bulk_field_types()
tables["history"] = ((name_groups[1], type_groups[1]), (["counter"], [int]))
def sql_type(type_class):
if issubclass(type_class, float):
return "REAL"
if issubclass(type_class, bool):
# advisory only, stores as int:
return "BOOLEAN"
if issubclass(type_class, int):
return "INTEGER"
if issubclass(type_class, str):
return "TEXT"
raise TypeError
for table, group_pairs in tables.items():
columns = ['"time" INTEGER NOT NULL', '"id" TEXT NOT NULL']
for name_group, type_group in group_pairs:
for name_item, type_item in zip(name_group, type_group):
name_item = dish_common.BRACKETS_RE.match(name_item).group(1)
if name_item != "id":
columns.append('"{0}" {1}'.format(name_item, sql_type(type_item)))
sql = 'CREATE TABLE "{0}" ({1}, PRIMARY KEY("time","id"))'.format(table, ", ".join(columns))
cur.execute(sql)
cur.execute("PRAGMA user_version={0}".format(SCHEMA_VERSION))
cur.close()
conn.commit()
def main():
opts = parse_args()
logging.basicConfig(format="%(levelname)s: %(message)s")
gstate = dish_common.GlobalState()
gstate.points = []
gstate.deferred_points = []
signal.signal(signal.SIGTERM, handle_sigterm)
gstate.sql_conn = sqlite3.connect(opts.database)
ensure_schema(opts, gstate.sql_conn)
rc = 0
try:
next_loop = time.monotonic()
while True:
rc = loop_body(opts, gstate)
if opts.loop_interval > 0.0:
now = time.monotonic()
next_loop = max(next_loop + opts.loop_interval, now)
time.sleep(next_loop - now)
else:
break
except sqlite3.Error as e:
logging.error("Database error: %s", e)
rc = 1
except Terminated:
pass
finally:
gstate.sql_conn.close()
gstate.shutdown()
sys.exit(rc)
if __name__ == '__main__':
main()

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#!/usr/bin/python3
"""Output Starlink user terminal data info in text format.
This script pulls the current status info and/or metrics computed from the
history data and prints them to stdout either once or in a periodic loop.
By default, it will print the results in CSV format.
"""
from datetime import datetime
import logging
import sys
import time
import dish_common
import starlink_grpc
VERBOSE_FIELD_MAP = {
# status fields (the remainder are either self-explanatory or I don't
# know with confidence what they mean)
"alerts": "Alerts bit field",
# ping_drop fields
"samples": "Parsed samples",
"end_counter": "Sample counter",
"total_ping_drop": "Total ping drop",
"count_full_ping_drop": "Count of drop == 1",
"count_obstructed": "Obstructed",
"total_obstructed_ping_drop": "Obstructed ping drop",
"count_full_obstructed_ping_drop": "Obstructed drop == 1",
"count_unscheduled": "Unscheduled",
"total_unscheduled_ping_drop": "Unscheduled ping drop",
"count_full_unscheduled_ping_drop": "Unscheduled drop == 1",
# ping_run_length fields
"init_run_fragment": "Initial drop run fragment",
"final_run_fragment": "Final drop run fragment",
"run_seconds": "Per-second drop runs",
"run_minutes": "Per-minute drop runs",
# ping_latency fields
"mean_all_ping_latency": "Mean RTT, drop < 1",
"deciles_all_ping_latency": "RTT deciles, drop < 1",
"mean_full_ping_latency": "Mean RTT, drop == 0",
"deciles_full_ping_latency": "RTT deciles, drop == 0",
"stdev_full_ping_latency": "RTT standard deviation, drop == 0",
# ping_loaded_latency is still experimental, so leave those unexplained
# usage fields
"download_usage": "Bytes downloaded",
"upload_usage": "Bytes uploaded",
}
def parse_args():
parser = dish_common.create_arg_parser(
output_description=
"print it to standard output in text format; by default, will print in CSV format")
group = parser.add_argument_group(title="CSV output options")
group.add_argument("-H",
"--print-header",
action="store_true",
help="Print CSV header instead of parsing data")
opts = dish_common.run_arg_parser(parser, no_stdout_errors=True)
if len(opts.mode) > 1 and "bulk_history" in opts.mode:
parser.error("bulk_history cannot be combined with other modes for CSV output")
return opts
def print_header(opts):
header = ["datetimestamp_utc"]
def header_add(names):
for name in names:
name, start, end = dish_common.BRACKETS_RE.match(name).group(1, 4, 5)
if start:
header.extend(name + "_" + str(x) for x in range(int(start), int(end)))
elif end:
header.extend(name + "_" + str(x) for x in range(int(end)))
else:
header.append(name)
if opts.satus_mode:
status_names, obstruct_names, alert_names = starlink_grpc.status_field_names()
if "status" in opts.mode:
header_add(status_names)
if "obstruction_detail" in opts.mode:
header_add(obstruct_names)
if "alert_detail" in opts.mode:
header_add(alert_names)
if opts.bulk_mode:
general, bulk = starlink_grpc.history_bulk_field_names()
header_add(general)
header_add(bulk)
if opts.history_stats_mode:
groups = starlink_grpc.history_stats_field_names()
general, ping, runlen, latency, loaded, usage = groups[0:6]
header_add(general)
if "ping_drop" in opts.mode:
header_add(ping)
if "ping_run_length" in opts.mode:
header_add(runlen)
if "ping_loaded_latency" in opts.mode:
header_add(loaded)
if "ping_latency" in opts.mode:
header_add(latency)
if "usage" in opts.mode:
header_add(usage)
print(",".join(header))
def loop_body(opts, gstate):
if opts.verbose:
csv_data = []
else:
csv_data = [datetime.utcnow().replace(microsecond=0).isoformat()]
def cb_data_add_item(name, val, category):
if opts.verbose:
csv_data.append("{0:22} {1}".format(VERBOSE_FIELD_MAP.get(name, name) + ":", val))
else:
# special case for get_status failure: this will be the lone item added
if name == "state" and val == "DISH_UNREACHABLE":
csv_data.extend(["", "", "", val])
else:
csv_data.append(str(val))
def cb_data_add_sequence(name, val, category, start):
if opts.verbose:
csv_data.append("{0:22} {1}".format(
VERBOSE_FIELD_MAP.get(name, name) + ":", ", ".join(str(subval) for subval in val)))
else:
csv_data.extend(str(subval) for subval in val)
def cb_add_bulk(bulk, count, timestamp, counter):
if opts.verbose:
print("Time range (UTC): {0} -> {1}".format(
datetime.fromtimestamp(timestamp).isoformat(),
datetime.fromtimestamp(timestamp + count).isoformat()))
for key, val in bulk.items():
print("{0:22} {1}".format(key + ":", ", ".join(str(subval) for subval in val)))
if opts.loop_interval > 0.0:
print()
else:
for i in range(count):
timestamp += 1
fields = [datetime.fromtimestamp(timestamp).isoformat()]
fields.extend(["" if val[i] is None else str(val[i]) for val in bulk.values()])
print(",".join(fields))
rc = dish_common.get_data(opts,
gstate,
cb_data_add_item,
cb_data_add_sequence,
add_bulk=cb_add_bulk)
if opts.verbose:
if csv_data:
print("\n".join(csv_data))
if opts.loop_interval > 0.0:
print()
else:
# skip if only timestamp
if len(csv_data) > 1:
print(",".join(csv_data))
return rc
def main():
opts = parse_args()
logging.basicConfig(format="%(levelname)s: %(message)s")
if opts.print_header:
print_header(opts)
sys.exit(0)
gstate = dish_common.GlobalState()
try:
next_loop = time.monotonic()
while True:
rc = loop_body(opts, gstate)
if opts.loop_interval > 0.0:
now = time.monotonic()
next_loop = max(next_loop + opts.loop_interval, now)
time.sleep(next_loop - now)
else:
break
finally:
gstate.shutdown()
sys.exit(rc)
if __name__ == '__main__':
main()

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#!/usr/bin/python3
"""Simple example of get_status request using grpc call directly."""
import grpc
from spacex.api.device import device_pb2
from spacex.api.device import device_pb2_grpc
from spacex.api.device import dish_pb2
# Note that if you remove the 'with' clause here, you need to separately
# call channel.close() when you're done with the gRPC connection.
with grpc.insecure_channel("192.168.100.1:9200") as channel:
stub = device_pb2_grpc.DeviceStub(channel)
response = stub.Handle(device_pb2.Request(get_status={}))
# Dump everything
print(response)
# Just the software version
print("Software version:", response.dish_get_status.device_info.software_version)
# Check if connected
print("Connected" if response.dish_get_status.state ==
dish_pb2.DishState.CONNECTED else "Not connected")

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#!/usr/bin/python3
"""A simple(?) example for using the starlink_grpc module.
This script shows an example of how to use the starlink_grpc module to
implement polling of status and/or history data.
By itself, it's not very useful unless you're trying to understand how the
status data correlates with certain aspects of the history data because all it
does is to dump both status and history data when it detects certain
conditions in the history data.
"""
from datetime import datetime
from datetime import timezone
import time
import starlink_grpc
INITIAL_SAMPLES = 20
LOOP_SLEEP_TIME = 4
def run_loop(context):
samples = INITIAL_SAMPLES
counter = None
prev_triggered = False
while True:
try:
# `starlink_grpc.status_data` returns a tuple of 3 dicts, but in case
# the API changes to add more in the future, it's best to reference
# them by index instead of direct assignment from the function call.
groups = starlink_grpc.status_data(context=context)
status = groups[0]
# On the other hand, `starlink_grpc.history_bulk_data` will always
# return 2 dicts, because that's all the data there is.
general, bulk = starlink_grpc.history_bulk_data(samples, start=counter, context=context)
except starlink_grpc.GrpcError:
# Dish rebooting maybe, or LAN connectivity error. Just ignore it
# and hope it goes away.
pass
else:
# The following is what actually does stuff with the data. It should
# be replaced with something more useful.
# This computes a trigger detecting any packet loss (ping drop):
#triggered = any(x > 0 for x in bulk["pop_ping_drop_rate"])
# This computes a trigger detecting samples marked as obstructed:
#triggered = any(bulk["obstructed"])
# This computes a trigger detecting samples not marked as scheduled:
triggered = not all(bulk["scheduled"])
if triggered or prev_triggered:
print("Triggered" if triggered else "Continued", "at:",
datetime.now(tz=timezone.utc))
print("status:", status)
print("history:", bulk)
if not triggered:
print()
prev_triggered = triggered
# The following makes the next loop only pull the history samples that
# are newer than the ones already examined.
samples = -1
counter = general["end_counter"]
# And this is a not-very-robust way of implementing an interval loop.
# Note that a 4 second loop will poll the history buffer pretty
# frequently. Even though we only ask for new samples (which should
# only be 4 of them), the grpc layer needs to pull the entire 12 hour
# history buffer each time, only to discard most of it.
time.sleep(LOOP_SLEEP_TIME)
def main():
# This part is optional. The `starlink_grpc` functions can work without a
# `starlink_grpc.ChannelContext` object passed in, but they will open a
# new channel for each RPC call (so twice for each loop iteration) without
# it.
context = starlink_grpc.ChannelContext()
try:
run_loop(context)
finally:
context.close()
if __name__ == '__main__':
main()

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starlink_grpc.py
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"""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 either get the history data as-is or parse it for
some specific packet loss statistics.
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:
Those functions return data grouped into sets, as follows.
General data:
This set of fields contains data relevant to all the other groups.
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:
The sample interval is currently 1 second.
: "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.
samples: The number of samples analyzed (for statistics) or returned
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. May report as a negative
number, which appears to indicate unknown time until next satellite
scheduled and usually correlates with *state* reporting as other than
"CONNECTED".
: **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 (or possibly fraction
of time?) 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 additional detail regarding 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 (time?) 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, not a fraction of the
wedge, so max value for each element should be 1/12. The first element in
the sequence represents the wedge that spans exactly North to 30 degrees
East of North, and subsequent wedges rotate 30 degrees further in the same
direction. (It's not clear if this will hold true at all latitudes.)
: **valid_s** : It is unclear what this field means exactly, but it appears to
be a measure of how complete the data is that the user terminal uses to
determine obstruction locations.
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.
: **end_counter** : The total number of data samples that have been written to
the history buffer since reboot of the user terminal, 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.
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
: **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
: **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
: **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
: **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 user terminal
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".
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.
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 (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.
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
: **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
: **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
: **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.
: **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.
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.
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.
: **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.
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.
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.
Ping latency history statistics
-------------------------------
This group of statistics characterizes latency of ping request/response in
various ways. For all non-sequence fields and most sequence elements, the
value may report as None to indicate no matching samples. The exception is
*load_bucket_samples* elements, which report 0 for no matching samples.
The fields that have "all" in their name are computed across all samples that
had any ping success (ping drop < 1). The fields that have "full" in their
name are computed across only the samples that have 100% ping success (ping
drop = 0). Which one is more interesting may depend on intended use. High rate
of packet loss appears to cause outlier latency values on the high side. On
the one hand, those are real cases, so should not be dismissed lightly. On the
other hand, the "full" numbers are more directly comparable to sample sets
taken over time.
: **mean_all_ping_latency** : Weighted mean latency value, in milliseconds, of
all samples that experienced less than 100% ping drop. Values are weighted
by amount of ping success (1 - ping drop).
: **deciles_all_ping_latency** : An 11 element sequence recording the weighted
deciles (10-quantiles) of latency values, in milliseconds, for all samples
that experienced less that 100% ping drop, including the minimum and
maximum values as the 0th and 10th deciles respectively. The 5th decile
(at sequence index 5) is the weighted median latency value.
: **mean_full_ping_latency** : Mean latency value, in milliseconds, of samples
that experienced no ping drop.
: **deciles_full_ping_latency** : An 11 element sequence recording the deciles
(10-quantiles) of latency values, in milliseconds, for all samples that
experienced no ping drop, including the minimum and maximum values as the
0th and 10th deciles respectively. The 5th decile (at sequence index 5) is
the median latency value.
: **stdev_full_ping_latency** : Population standard deviation of the latency
value of samples that experienced no ping drop.
Loaded ping latency statistics
------------------------------
This group of statistics attempts to characterize latency of ping
request/response under various network load conditions. Samples are grouped by
total (down+up) bandwidth used during the sample period, using a log base 2
scale. These groups are referred to as "load buckets" below. The first bucket
in each sequence represents samples that use less than 1Mbps (millions of bits
per second). Subsequent buckets use more bandwidth than that covered by prior
buckets, but less than twice the maximum bandwidth of the immediately prior
bucket. The last bucket, at sequence index 14, represents all samples not
covered by a prior bucket, which works out to any sample using 8192Mbps or
greater. Only samples that experience no ping drop are included in any of the
buckets.
This group of fields should be considered EXPERIMENTAL and thus subject to
change without regard to backward compatibility.
Note that in all cases, the latency values are of "ping" traffic, which may be
prioritized lower than other traffic by various network layers. How much
bandwidth constitutes a fully loaded network connection may vary over time.
Buckets with few samples may not contain statistically significant latency
data.
: **load_bucket_samples** : A 15 element sequence recording the number of
samples per load bucket. See above for load bucket partitioning.
EXPERIMENTAL.
: **load_bucket_min_latency** : A 15 element sequence recording the minimum
latency value, in milliseconds, per load bucket. EXPERIMENTAL.
: **load_bucket_median_latency** : A 15 element sequence recording the median
latency value, in milliseconds, per load bucket. EXPERIMENTAL.
: **load_bucket_max_latency** : A 15 element sequence recording the maximum
latency value, in milliseconds, per load bucket. EXPERIMENTAL.
Bandwidth usage history statistics
----------------------------------
This group of statistics characterizes total bandwidth usage over the sample
period.
: **download_usage** : Total number of bytes downloaded to the user terminal
during the sample period.
: **upload_usage** : Total number of bytes uploaded from the user terminal
during the sample period.
"""
from itertools import chain
import math
import statistics
import grpc
import spacex.api.device.device_pb2
import spacex.api.device.device_pb2_grpc
from spacex.api.device import device_pb2
from spacex.api.device import device_pb2_grpc
from spacex.api.device import dish_pb2
class GrpcError(Exception):
@ -137,21 +319,134 @@ class GrpcError(Exception):
super().__init__(msg, *args, **kwargs)
def get_status():
class ChannelContext:
"""A wrapper for reusing an open grpc Channel across calls.
`close()` should be called on the object when it is no longer
in use.
"""
def __init__(self, target="192.168.100.1:9200"):
self.channel = None
self.target = target
def get_channel(self):
reused = True
if self.channel is None:
self.channel = grpc.insecure_channel(self.target)
reused = False
return self.channel, reused
def close(self):
if self.channel is not None:
self.channel.close()
self.channel = None
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, with status data field names, alert detail field
names, and obstruction detail field names, in that order.
"""
alert_names = []
for field in 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]",
"valid_s",
], alert_names
def status_field_types():
"""Return the field types of the status data.
Return the type classes for each field. For sequence types, the type of
element in the sequence is returned, not the type of the sequence.
Returns:
A tuple with 3 lists, with status data field types, alert detail field
types, and obstruction detail field types, in that order.
"""
return [
str, # id
str, # hardware_version
str, # software_version
str, # state
int, # uptime
float, # snr
float, # seconds_to_first_nonempty_slot
float, # pop_ping_drop_rate
float, # downlink_throughput_bps
float, # uplink_throughput_bps
float, # pop_ping_latency_ms
int, # alerts
float, # fraction_obstructed
bool, # currently_obstructed
float, # seconds_obstructed
], [
float, # wedges_fraction_obstructed[]
float, # valid_s
], [bool] * len(dish_pb2.DishAlerts.DESCRIPTOR.fields)
def get_status(context=None):
"""Fetch status data and return it in grpc structure format.
Args:
context (ChannelContext): Optionally provide a channel for reuse
across repeated calls. If an existing channel is reused, the RPC
call will be retried at most once, since connectivity may have
been lost and restored in the time since it was last used.
Raises:
grpc.RpcError: Communication or service error.
"""
if context is None:
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={}))
stub = device_pb2_grpc.DeviceStub(channel)
response = stub.Handle(device_pb2.Request(get_status={}))
return response.dish_get_status
while True:
channel, reused = context.get_channel()
try:
stub = device_pb2_grpc.DeviceStub(channel)
response = stub.Handle(device_pb2.Request(get_status={}))
return response.dish_get_status
except grpc.RpcError:
context.close()
if not reused:
raise
def get_id():
def get_id(context=None):
"""Return the ID from the dish status information.
Args:
context (ChannelContext): Optionally provide a channel for reuse
across repeated calls.
Returns:
A string identifying the Starlink user terminal reachable from the
local network.
@ -160,19 +455,133 @@ def get_id():
GrpcError: No user terminal is currently reachable.
"""
try:
status = get_status()
status = get_status(context)
return status.device_info.id
except grpc.RpcError as e:
raise GrpcError(e)
def history_ping_field_names():
"""Return the field names of the packet loss stats.
def status_data(context=None):
"""Fetch current status data.
Args:
context (ChannelContext): Optionally provide a channel for reuse
across repeated calls.
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.
A tuple with 3 dicts, mapping status data field names, alert detail
field names, and obstruction detail field names to their respective
values, in that order.
Raises:
GrpcError: Failed getting history info from the Starlink user
terminal.
"""
try:
status = get_status(context)
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": 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,
"valid_s": status.obstruction_stats.valid_s,
}, 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_bulk_field_types():
"""Return the field types of the bulk history data.
Return the type classes for each field. For sequence types, the type of
element in the sequence is returned, not the type of the sequence.
Returns:
A tuple with 2 lists, the first with general data types, the second
with bulk history data types.
"""
return [
int, # samples
int, # end_counter
], [
float, # pop_ping_drop_rate[]
float, # pop_ping_latency_ms[]
float, # downlink_throughput_bps[]
float, # uplink_throughput_bps[]
float, # snr[]
bool, # scheduled[]
bool, # obstructed[]
]
def history_ping_field_names():
"""Deprecated. Use history_stats_field_names instead."""
return history_stats_field_names()[0:3]
def history_stats_field_names():
"""Return the field names of the packet loss stats.
Note:
See module level docs regarding brackets in field names.
Returns:
A tuple with 6 lists, with general data names, ping drop stat names,
ping drop run length stat names, ping latency stat names, loaded ping
latency stat names, and bandwidth usage stat names, in that order.
Note:
Additional lists may be added to this tuple in the future with
additional data groups, so it not recommended for the caller to
assume exactly 6 elements.
"""
return [
"samples",
@ -189,22 +598,104 @@ def history_ping_field_names():
], [
"init_run_fragment",
"final_run_fragment",
"run_seconds",
"run_minutes",
"run_seconds[1,61]",
"run_minutes[1,61]",
], [
"mean_all_ping_latency",
"deciles_all_ping_latency[11]",
"mean_full_ping_latency",
"deciles_full_ping_latency[11]",
"stdev_full_ping_latency",
], [
"load_bucket_samples[15]",
"load_bucket_min_latency[15]",
"load_bucket_median_latency[15]",
"load_bucket_max_latency[15]",
], [
"download_usage",
"upload_usage",
]
def get_history():
def history_stats_field_types():
"""Return the field types of the packet loss stats.
Return the type classes for each field. For sequence types, the type of
element in the sequence is returned, not the type of the sequence.
Returns:
A tuple with 6 lists, with general data types, ping drop stat types,
ping drop run length stat types, ping latency stat types, loaded ping
latency stat types, and bandwidth usage stat types, in that order.
Note:
Additional lists may be added to this tuple in the future with
additional data groups, so it not recommended for the caller to
assume exactly 6 elements.
"""
return [
int, # samples
int, # end_counter
], [
float, # total_ping_drop
int, # count_full_ping_drop
int, # count_obstructed
float, # total_obstructed_ping_drop
int, # count_full_obstructed_ping_drop
int, # count_unscheduled
float, # total_unscheduled_ping_drop
int, # count_full_unscheduled_ping_drop
], [
int, # init_run_fragment
int, # final_run_fragment
int, # run_seconds[]
int, # run_minutes[]
], [
float, # mean_all_ping_latency
float, # deciles_all_ping_latency[]
float, # mean_full_ping_latency
float, # deciles_full_ping_latency[]
float, # stdev_full_ping_latency
], [
int, # load_bucket_samples[]
float, # load_bucket_min_latency[]
float, # load_bucket_median_latency[]
float, # load_bucket_max_latency[]
], [
int, # download_usage
int, # upload_usage
]
def get_history(context=None):
"""Fetch history data and return it in grpc structure format.
Args:
context (ChannelContext): Optionally provide a channel for reuse
across repeated calls. If an existing channel is reused, the RPC
call will be retried at most once, since connectivity may have
been lost and restored in the time since it was last used.
Raises:
grpc.RpcError: Communication or service error.
"""
if context is None:
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={}))
stub = device_pb2_grpc.DeviceStub(channel)
response = stub.Handle(device_pb2.Request(get_history={}))
return response.dish_get_history
while True:
channel, reused = context.get_channel()
try:
stub = device_pb2_grpc.DeviceStub(channel)
response = stub.Handle(device_pb2.Request(get_history={}))
return response.dish_get_history
except grpc.RpcError:
context.close()
if not reused:
raise
def _compute_sample_range(history, parse_samples, start=None, verbose=False):
current = int(history.current)
@ -245,7 +736,7 @@ def _compute_sample_range(history, parse_samples, start=None, verbose=False):
return sample_range, current - start, current
def history_bulk_data(parse_samples, start=None, verbose=False):
def history_bulk_data(parse_samples, start=None, verbose=False, context=None):
"""Fetch history data for a range of samples.
Args:
@ -257,23 +748,31 @@ def history_bulk_data(parse_samples, start=None, verbose=False):
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.
NOTE: The sample counter will reset to 0 when the dish reboots. If
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.
context (ChannelContext): Optionally provide a channel for reuse
across repeated calls.
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.
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()
history = get_history(context)
except grpc.RpcError as e:
raise GrpcError(e)
@ -314,25 +813,41 @@ def history_bulk_data(parse_samples, start=None, verbose=False):
}
def history_ping_stats(parse_samples, verbose=False):
def history_ping_stats(parse_samples, verbose=False, context=None):
"""Deprecated. Use history_stats instead."""
return history_stats(parse_samples, verbose=verbose, context=context)[0:3]
def history_stats(parse_samples, verbose=False, context=None):
"""Fetch, parse, and compute the packet loss stats.
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.
context (ChannelContext): Optionally provide a channel for reuse
across repeated calls.
Returns:
A tuple with 3 dicts, the first mapping general data 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.
A tuple with 6 dicts, mapping general data names, ping drop stat
names, ping drop run length stat names, ping latency stat names,
loaded ping latency stat names, and bandwidth usage stat names to
their respective values, in that order.
Note:
Additional dicts may be added to this tuple in the future with
additional data groups, so it not recommended for the caller to
assume exactly 6 elements.
Raises:
GrpcError: Failed getting history info from the Starlink user
terminal.
"""
try:
history = get_history()
history = get_history(context)
except grpc.RpcError as e:
raise GrpcError(e)
@ -354,6 +869,13 @@ def history_ping_stats(parse_samples, verbose=False):
run_length = 0
init_run_length = None
usage_down = 0.0
usage_up = 0.0
rtt_full = []
rtt_all = []
rtt_buckets = [[] for _ in range(15)]
for i in sample_range:
d = history.pop_ping_drop_rate[i]
if d >= 1:
@ -387,6 +909,22 @@ def history_ping_stats(parse_samples, verbose=False):
count_full_obstruct += 1
tot += d
down = history.downlink_throughput_bps[i]
usage_down += down
up = history.uplink_throughput_bps[i]
usage_up += up
rtt = history.pop_ping_latency_ms[i]
# note that "full" here means the opposite of ping drop full
if d == 0.0:
rtt_full.append(rtt)
if down + up > 500000:
rtt_buckets[min(14, int(math.log2((down+up) / 500000)))].append(rtt)
else:
rtt_buckets[0].append(rtt)
if d < 1.0:
rtt_all.append((rtt, 1.0 - 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
@ -395,6 +933,53 @@ def history_ping_stats(parse_samples, verbose=False):
init_run_length = run_length
run_length = 0
def weighted_mean_and_quantiles(data, n):
if not data:
return None, [None] * (n+1)
total_weight = sum(x[1] for x in data)
result = []
items = iter(data)
value, accum_weight = next(items)
accum_value = value * accum_weight
for boundary in (total_weight * x / n for x in range(n)):
while accum_weight < boundary:
try:
value, weight = next(items)
accum_value += value * weight
accum_weight += weight
except StopIteration:
# shouldn't happen, but in case of float precision weirdness...
break
result.append(value)
result.append(data[-1][0])
accum_value += sum(x[0] for x in items)
return accum_value / total_weight, result
bucket_samples = []
bucket_min = []
bucket_median = []
bucket_max = []
for bucket in rtt_buckets:
if bucket:
bucket_samples.append(len(bucket))
bucket_min.append(min(bucket))
bucket_median.append(statistics.median(bucket))
bucket_max.append(max(bucket))
else:
bucket_samples.append(0)
bucket_min.append(None)
bucket_median.append(None)
bucket_max.append(None)
rtt_all.sort(key=lambda x: x[0])
wmean_all, wdeciles_all = weighted_mean_and_quantiles(rtt_all, 10)
if rtt_full:
deciles_full = [min(rtt_full)]
deciles_full.extend(statistics.quantiles(rtt_full, n=10, method="inclusive"))
deciles_full.append(max(rtt_full))
else:
deciles_full = [None] * 11
return {
"samples": parse_samples,
"end_counter": current,
@ -410,6 +995,20 @@ def history_ping_stats(parse_samples, verbose=False):
}, {
"init_run_fragment": init_run_length,
"final_run_fragment": run_length,
"run_seconds": second_runs,
"run_minutes": minute_runs,
"run_seconds[1,]": second_runs,
"run_minutes[1,]": minute_runs,
}, {
"mean_all_ping_latency": wmean_all,
"deciles_all_ping_latency[]": wdeciles_all,
"mean_full_ping_latency": statistics.fmean(rtt_full) if rtt_full else None,
"deciles_full_ping_latency[]": deciles_full,
"stdev_full_ping_latency": statistics.pstdev(rtt_full) if rtt_full else None,
}, {
"load_bucket_samples[]": bucket_samples,
"load_bucket_min_latency[]": bucket_min,
"load_bucket_median_latency[]": bucket_median,
"load_bucket_max_latency[]": bucket_max,
}, {
"download_usage": int(round(usage_down / 8)),
"upload_usage": int(round(usage_up / 8)),
}