This brings most of the history-related functionality implemented in the grpc scripts to the JSON version, but only for text output. It also renames parserJsonHistory.py to dish_json_text.py, which removes the last remaining complaint from pylint about module name not conforming to style conventions.
A lot of this is just duplicated code from dish_common and dish_grpc_text, just simplified a little where some of the flexibility wasn't needed.
This removes compatibility with Python 2.7, because I didn't feel like reimplementing statistics.pstdev and didn't think such compatibility was particularly important.
This further complicates the code, for functionality that probably only I care about, but when computing stats for relatively long time intervals, it really hurts when the dish reboots and up to an entire time period's worth of data is lost at exactly the point where it may have been having interesting behavior.
Since the alert types are determined dynamically from the protocol definition, the status schema may need to be updated even if nothing changed in the scripts, when the dish software adds a new alert type (which just happened, say hello to the "mast_not_near_vertical" alert). This allows the manual override for that case, not just schema version downgrade.
Probably not terribly useful unless someone needs to tunnel through a different network to get to their dish, but it makes testing the dish unreachable case a lot easier. This was complicated a bit by the fact that a channel (and therefor the dish IP and port) is needed to get the list of alert types via reflection due to prior changes.
This exposed some issues with the error message for dish unreachable, so fixed those.
I had only added the one that the Starlink app uses to show obstructions, because it didn't seem like the other one was all that useful, but people seem to be interested in studying the difference between the 2, so might as well have it. This is in the obstruction_detail group, along with the other one. I'm kinda regretting naming the first one as I did, though, because it's now a little confusing between my naming and the naming in the grpc message.
Since this is a new field, also had to implement schema updates for the sqlite script.
If the spacex grpc modules are not available in the import path, will now fall back to using reflection to get them dynamically. I'm not real happy with the mess this made of the import lines, though (and neither is pylint...), so I may hack on that a little further when I get the time.
Add a requirements.txt file to enable installation of all prerequisites so users don't have to follow the individual instructions for each dependency package. At some point, I'll really need to add proper Python packaging so the whole thing can just be installed via pip.
Rearrange the README a bit, since some of the sections have increased or decreased in relevance over time.
I'm sure this isn't a particularly optimal implementation, but it's functional.
This required exporting knowledge about the types that will be returned per field from starlink_grpc and moving things around a little in dish_common.
Apparently, it was a little _too_ simple.
Also, update the description for seconds_to_first_nonempty_slot field to reflect some behavior this script was able to capture.
This adds an example script for the starlink_grpc module. It's a kinda silly thing, but I threw it together to better understand some of the status data, so I figured I'd upload it, since the other example is for direct grpc usage (or for starlink_json if parseJsonHistory can be considered an example).
Rename dishDumpStatus so pylint will stop complaining about the module name. The only script left with my old naming convention now is parseJsonHistory.py.
Add latency and usage stat groups to the stats computed from history samples. This includes an attempt at characterizing latency under network load, too, but I don't know how useful that's going to be, so I have marked that as experimental, in case it needs algorithmic improvements.
The new groups are enabled on the command line by use of the new mode names: ping_latency, ping_loaded_latency, and usage.
Add valid_s to the obstruction details status group. This was the only missing field from everything available in the status response (other than wedge_fraction_obstructed, which seems redundant to wedge_abs_fraction_obstructed), and I only skipped it because I don't know what it means exactly. Adding it now with my best guess at a description in order to avoid a compatibility breaking change later.
Closes#5
This merge refactors the grpc scripts to reduce the amount of duplicate code.
By necessity, this changes the command line interface in an incompatible way, although most of the options stayed the same and there is a straightforward mapping of old script to new script + mode arg(s).
It also changes the starlink_grpc module interface slightly in that some field names now have a suffix indicating size of sequence type data that will have to be parsed out to get the actual name by itself.
For now, the default docker command includes the altert detail but not the obstruction detail, because that's what the old dishStatusInflux.py script had.
This restores the functionality that the InfluxDB status polling script had whereby instead of using a new grpc Channel for each RPC call, it would keep one open and reuse it, retrying one time if it ever fails, which can happen if the connection is lost between calls. Now all the grpc scripts have this functionality.
Also, hedge a little bit in the descriptions for what the obstruction detail fields means, given that I'm not sure my assumptions there are correct.
Combined the history and status scripts for each data backend and moved some of the shared code into a separate module. Since the existing script names were not appropriate for the new combined versions, the main entry point scripts now have new names, which better conform with Python module name conventions: dish_grpc_text.py, dish_grpc_mqtt.py, and dish_grpc_influx.py. pylint seems happier with those names, at any rate.
Switched the argument parsing from getopt to argparse, since that better facilitates sharing the common bits. The whole command line interface is now different in that the selection of data groups to process must be made as required arg(s) rather than option flags, but for the most part, the scripts support choosing an arbitrary list of groups and will process them all.
Split the monster main() functions into a more reasonable set of functions.
Added new functions to starlink_grpc to support getting the status, which returns the data in a form similar to the history data functions. Reformatted the starlink_grpc module docstring to render better with pydoc. Also changed the way sequence data field names are reported so that the consuming scripts can name them correctly without resorting to hacky special casing based on specific field names. This would subtly break the old scripts that had been expecting the old naming, but those scripts are now gone.
The code is harder to follow now, IMO, but this should allow adding of new features and/or data backends without having to make the same change in 6 places as had been the case. To that end, dish_grpc_text now supports bulk history mode, since it was trivial to add once I had it implemented in order to support that feature for dish_grpc_influx.
Since "current" got added to the global data group returned from getting the history stats in non-bulk mode, it was being output by all 3 of the history scripts, and the name "current" was a little confusing when looking at prior output, since old values would no longer be current. The description of it in the start param of history_bulk_data was confusing, too.
Write the sample counter value corresponding with the last recorded data point into the database along with the rest of the sample data so that it can be read out on next invocation of the script and data collection resumed where it left off.
Switch default sample count to all samples when in bulk mode, which now really means all samples since the last one recorded already.
Switch the time precision to be 1 second. Data points are only written one per second, anyway, and this way if there is any overlap due to counter tracking failure, the existing data will just get overwritten instead of creating duplicates.
Add a maximum queue length, so the script doesn't just keep using more memory if it persistently (>10 days) fails writing to the InfluxDB server.
Hack around some issues I ran into with the influxdb-python client library, especially with respect to running queries against InfluxDB 2.0 servers.
This concludes the functionality related to bulk collection of history data discussed on issue #5
If the number of samples reported in the history varies from the number of seconds elapsed as detected on the script host's system clock by more than +/- 2 seconds, forcibly correct the time base back to current system time. This doesn't seem to trigger on hosts with NTP synced system clocks (possibly because the dish's clock is, too), so no attempt is made to make this graceful, there will just be a discontinuity in the timestamps assigned to samples if this correction is made.
Also, enforce a maximum batch size for data points writes to the InfluxDB server. It's somewhat arbitrarily set at 5000 data points. A write of the full 12 hour history buffer would be 43200 data points, so this will break that up a bit.
Related to issue #5
Add tracking of exactly which samples have already been sent off to InfluxDB so that samples are neither missed nor repeated due to minor time deltas in OS task scheduling. For now, this is only being applied to bulk mode.
Make the -s option only apply to the first loop iteration for bulk mode, since subsequent loops will want to pick up all samples since prior iteration.
Also, omit the latency field from the data point sent to InfluxDB for samples where the ping drop is 100%. The raw history data apparently just repeats prior value in this case, probably because it cannot just leave a hole in the data array and there is no good way to indicate invalid.
Related to issue #5
Handle SIGTERM to enable graceful script shutdown when a container is stopped. This currently only matters for the InfluxDB scripts, and only when they run in a loop, since if the script is hard-terminated, it won't flush out any queued data points to the InfluxDB server. This also required changing the entrypoint script to exec python instead of running it as a child process of the shell running entrypoint.sh, since Docker will only deliver SIGTERM to the parent process it started directly.
Also, add -t 30 to the default Docker command to match the script default behavior prior to the changes in 46f65a6214
Add an interval timing loop for all the grpc scripts that did not already have one. Organized some of the code into functions in order to facilitate this, which caused some problems with local variables vs global ones, so moved the script code into a proper main() function. Which didn't really solve the access to globals issue, so also moved the mutable state into a class instance.
The interval timer should be relatively robust against time drift due to the loop function running time and/or OS scheduler delay, but is far from perfect.
Retry logic is now in place for both InfluxDB scripts. Retry for dishStatusInflux.py is slightly changed in that a failed write to InfluxDB server will be retried on every interval, rather than waiting for another batch full of data points to write, but this only happens once there is at least a full batch (currently 6) of data points pending. This new behavior matches how the autocommit functionality on SeriesHelper works.
Changed the default behavior of dishStatusInflux.py to not loop, in order to match the other scripts. To get the old behavior, add a '-t 30' option to the command line.
Closes#9
Specific history data patterns would sometimes lead to some of the stats switching between int and float type even if they were always whole numbers. This should ensure that doesn't happen.
I think this will fix#12, but will likely require deleting all the spacex.starlink.user_terminal.ping_stats data points from the database before the type conflict failure will go away.
