# starlink-grpc-tools This repository has a handful of tools for interacting with the [gRPC](https://grpc.io/) service implemented on the Starlink user terminal (AKA "the dish"). For more information on what Starlink is, see [starlink.com](https://www.starlink.com/) and/or the [r/Starlink subreddit](https://www.reddit.com/r/Starlink/). ## Prerequisites Most of the scripts here are [Python](https://www.python.org/) scripts. To use them, you will either need Python installed on your system or you can use the Docker image. If you use the Docker image, you can skip the rest of the prerequisites other than making sure the dish IP is reachable and Docker itself. For Linux systems, the python package from your distribution should be fine, as long as it is Python 3. All the tools that pull data from the dish expect to be able to reach it at the dish's fixed IP address of 192.168.100.1, as do the Starlink [Android app](https://play.google.com/store/apps/details?id=com.starlink.mobile), [iOS app](https://apps.apple.com/us/app/starlink/id1537177988), and the browser app you can run directly from http://192.168.100.1. When using a router other than the one included with the Starlink installation kit, this usually requires some additional router configuration to make it work. That configuration is beyond the scope of this document, but if the Starlink app doesn't work on your home network, then neither will these scripts. That being said, you do not need the Starlink app installed to make use of these scripts. See [here](https://github.com/starlink-community/knowledge-base/wiki#using-your-own-router) for more detail on this. Running the scripts within a [Docker](https://www.docker.com/) container requires Docker to be installed. Information about how to install that can be found at https://docs.docker.com/engine/install/. See below for how to pull the starlink-grpc-tools container image. ### Required Python modules (for non-Docker usage) The easiest way to get the Python modules used by the scripts is to do the following, which will install latest versions of a superset of the required modules: ```shell script pip install --upgrade -r requirements.txt ``` If you really care about the details here or wish to minimize your package requirements, you can find more detail about which specific modules are required for what usage in [this Wiki article](https://github.com/sparky8512/starlink-grpc-tools/wiki/Python-Module-Dependencies). ### Generating the gRPC protocol modules (for non-Docker usage) This step is no longer required, nor is it particularly recommended, so the details have been moved to [this Wiki article](https://github.com/sparky8512/starlink-grpc-tools/wiki/gRPC-Protocol-Modules). ## Usage Of the 3 groups below, the grpc scripts are really the only ones being actively developed. The others are mostly by way of example of what could be done with the underlying data. ### The grpc scripts This set of scripts includes `dish_grpc_text.py`, `dish_grpc_influx.py`, `dish_grpc_influx2.py`, `dish_grpc_sqlite.py`, and `dish_grpc_mqtt.py`. They mostly support the same functionality, but write their output in different ways. `dish_grpc_text.py` writes data to standard output, `dish_grpc_influx.py` and `dish_grpc_influx2.py` send it to an InfluxDB 1.x and 2.x server, respectively, `dish_grpc_sqlite.py` writes it to a sqlite database, and `dish_grpc_mqtt.py` sends it to a MQTT broker. All these scripts support processing status data and/or history data in various modes. The status data is mostly what appears related to the dish in the Debug Data section of the Starlink app, whereas most of the data displayed in the Statistics page of the Starlink app comes from the history data. 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. For example, data from all the currently available status groups can be output by doing: ```shell script python3 dish_grpc_text.py status obstruction_detail alert_detail ``` By default, `dish_grpc_text.py` will output in CSV format. You can use the `-v` option to instead output in a (slightly) more human-readable format. 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: ```shell script 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. #### Bulk history data collection `dish_grpc_influx.py`, `dish_grpc_influx2.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. #### Polling interval A recent (as of 2021-Aug) change in the dish firmware appears to have reduced the amount of history data returned from the most recent 12 hours to the most recent 15 minutes, so if you are using the `-t` option to poll either bulk history or history-based statistics, you should choose an interval less than 900 seconds; otherwise, you will not capture all the data. Computing history statistics (one or more of groups `ping_drop`, `ping_run_length`, `ping_latency`, `ping_loaded_latency`, and `usage`) across periods longer than the 15 minute history buffer may be done by combining the `-t` and `-o` options. The history data will be polled at the interval specified by the `-t` option, but it will be aggregated the number of times specified by the `-o` option and statistics will be computed against the aggregated data which will be a period of the `-t` option value times the `-o` option value. For example, the following: ```shell script python3 dish_grpc_text.py -t 60 -o 60 ping_drop ``` will poll history data once per minute, but compute statistics only once per hour. This also reduces data loss due to a dish reboot, since the `-o` option will aggregate across reboots, too. #### The obstruction map script `dish_obstruction_map.py` is a little different in that it doesn't write to a database, but rather writes PNG images to the local filesystem. To get a single image of the current obstruction map using the default colors, you can do the following: ```shell script python3 dish_obstruction_map.py obstructions.png ``` or to run in a loop writing a sequence of images once per hour, you can do the following: ```shell script python3 dish_obstruction_map.py -t 3600 obstructions_%s.png ``` Run it with the `-h` command line option for full usage details, including control of the map colors and color modes. #### Reboot and stow control `dish_control.sh` is a simple stand alone script that can issue reboot, stow, or unstow commands to the dish: ```shell script python3 dish_control.py reboot python3 dish_control.py stow python3 dish_control.py unstow ``` These operations can also be done using `grpcurl`, thus avoiding the need to use Python or install the required Python module dependencies. See [here](https://github.com/sparky8512/starlink-grpc-tools/wiki/Useful-grpcurl-commands) for specific `grpcurl` commands for these operations. ### The JSON parser script `dish_json_text.py` operates on a JSON format data representation of the protocol buffer messages, such as that output by [gRPCurl](https://github.com/fullstorydev/grpcurl). The command lines below assume `grpcurl` is installed in the runtime PATH. If that's not the case, just substitute in the full path to the command. `dish_json_text.py` is similar to `dish_grpc_text.py`, but it takes JSON format input from a file instead of pulling it directly from the dish via grpc call. It also does not support the status info modes, because those are easy enough to interpret directly from the JSON data. The easiest way to use it is to pipe the `grpcurl` command directly into it. For example: ```shell script grpcurl -plaintext -d {\"get_history\":{}} 192.168.100.1:9200 SpaceX.API.Device.Device/Handle | python3 dish_json_text.py ping_drop ``` For more usage options, run: ```shell script python3 dish_json_text.py -h ``` 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 above. ### Other scripts `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: ```shell script 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. The grpc example in this script assumes you have the [generated gRPC protocol modules](https://github.com/sparky8512/starlink-grpc-tools/wiki/gRPC-Protocol-Modules). For a (relatively) simple example of using reflection to avoid that requirement, see `dish_control.py`. `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: ```shell script python3 poll_history.py ``` Possibly more simple examples to come, as the other scripts have started getting a bit complicated. `extract_protoset.py` can be used in place of `grpcurl` for recording the dish protocol information. See [the related Wiki article](https://github.com/sparky8512/starlink-grpc-tools/wiki/gRPC-Protocol-Modules) for more details. ## Running with Docker The supported docker image for this project is now the one hosted in the [GitHub Packages repository](https://github.com/sparky8512/starlink-grpc-tools/pkgs/container/starlink-grpc-tools/versions). You can get the "latest" image with the following command: ```shell script docker pull ghcr.io/sparky8512/starlink-grpc-tools ``` This will pull the image tagged as "latest". There should also be images for all recent tagged releases of this project, but those tend to be few and far between, so the most recent one will often be missing some important changes. See the package repository for a full list of tagged images. You can run it with the following: ```shell script docker run --name='starlink-grpc-tools' ghcr.io/sparky8512/starlink-grpc-tools .py