Initialization and users app

README.md

@@ -309,17 +309,24 @@ settings in the environment file:
 
 - ADDITIONAL_USER_NAMES: Comma separated list of additional admin usernames.
 - ADDITIONAL_USER_PASSWORD: Password for additional admin users.
-- ADMIN_NAME: Username for the admin user.
 - ADMIN_EMAIL: Email used to generate admin user. Change in production.
+- ADMIN_NAME: Username for the admin user.
 - ADMIN_PASSWORD: Password used to generate admin user. Change in production.
 - AUTHENTICATION: Authentication method used for scos-sensor. Supports `TOKEN` or
   `CERT`.
-- BASE_IMAGE: Base docker image used to build the API container.
+- BASE_IMAGE: Base docker image used to build the API container. These docker
+  images, combined with any drivers found in the signal analyzer repos,  are
+  responsible for providing the operating system suitable for the chosen signal
+  analyzer. Note, this should be updated when switching signal analyzers.
+  By default, this is configured to
+  use a version of `ghcr.io/ntia/scos-tekrsa/tekrsa_usb` to use a Tektronix
+  signal analyzer.
 - CALLBACK_AUTHENTICATION: Sets how to authenticate to the callback URL. Supports
   `TOKEN` or `CERT`.
 - CALLBACK_SSL_VERIFICATION: Set to “true” in production environment. If false, the SSL
   certificate validation will be ignored when posting results to the callback URL.
-- CALLBACK_TIMEOUT: The timeout for the requests sent to the callback URL.
+- CALLBACK_TIMEOUT: The timeout for the posts sent to the callback URL when a scheduled
+  action is completed.
 - DEBUG: Django debug mode. Set to False in production.
 - DOCKER_TAG: Always set to “latest” to install newest version of docker containers.
 - DOMAINS: A space separated list of domain names. Used to generate [ALLOWED_HOSTS](
@@ -344,17 +351,36 @@ settings in the environment file:
 - POSTGRES_PASSWORD: Sets password for the Postgres database for the “postgres” user.
   Change in production. The env.template file sets to a randomly generated value.
 - REPO_ROOT: Root folder of the repository. Should be correctly set by default.
-- SCOS_SENSOR_GIT_TAG: The scos-sensor branch name.
+- SCOS_SENSOR_GIT_TAG: The scos-sensor branch name. This value may be used in action
+  metadata to capture the version of the software that produced the sigmf archive.
 - SECRET_KEY: Used by Django to provide cryptographic signing. Change to a unique,
   unpredictable value. See
   <https://docs.djangoproject.com/en/3.0/ref/settings/#secret-key>. The env.template
   file sets to a randomly generated value.
+- SIGAN_CLASS: The name of the signal analyzer class to use. By default, this is
+  set to `TekRSASigan` to use a Tektronix signal analyzer. This must be changed
+  to switch to a different signal analyzer.
+- SIGAN_MODULE: The name of the python module that provides the signal analyzer
+  implementation. This defaults to `scos_tekrsa.hardware.tekrsa_sigan` for the
+  Tektronix signal analyzers. This must be changed to switch to a different
+  signal analyzer.
+- SIGAN_POWER_CYCLE_STATES: Optional setting to provide the name of the control_state
+  in the SIGAN_POWER_SWITCH that will power cycle the signal analyzer.
+- SIGAN_POWER_SWITCH: Optional setting used to indicate the name of a
+  [WebRelay](https://github.com/NTIA/Preselector) that may be used to power cycle
+  the signal analyzer if necessary. Note: specifics of power cycling behavior
+  are implemented within the signal analyzer implementations or actions.
+- SSL_CA_PATH: Path to a CA certificate used to verify scos-sensor client
+  certificate(s) when authentication is set to CERT.
 - SSL_CERT_PATH: Path to server SSL certificate. Replace the certificate in the
   scos-sensor repository with a valid certificate in production.
 - SSL_KEY_PATH: Path to server SSL private key. Use the private key for your valid
   certificate in production.
-- SSL_CA_PATH: Path to a CA certificate used to verify scos-sensor client
-  certificate(s) when authentication is set to CERT.
+- USB_DEVICE: Optional string used to search for available USB devices. By default,
+  this is set to Tektronix to see if the Tektronix signal analyzer is available. If
+  the specified value is not found in the output of lsusb, scos-sensor will attempt
+  to restart the api container. If switching to a different signal analyzer, this
+  setting should be updated or removed.
 
 ### Sensor Definition File
 
@@ -391,6 +417,106 @@ specific to the sensor you are using.
 }
 ```
 
+### Sensor Calibration File
+
+By default, scos-sensor will use `configs/default_calibration.json` as the sensor
+calibration file. However, if`configs/sensor_calibration.json` or
+`configs/sigan_calibration.json` exist they will be used instead of the default
+calibration file. Sensor calibration files allow scos-sensor to apply a gain based
+on a laboratory calibration of the sensor and may also contain other useful
+metadata that characterizes the sensor performance. For additional
+information on the calibration data, see the
+[NTIA-Sensor SigMF Calibration Object](https://github.com/NTIA/sigmf-ns-ntia/blob/master/ntia-sensor.sigmf-ext.md#08-the-calibration-object).
+The default calibration file is shown below:
+
+```json
+{
+  "calibration_data":{
+    "datetime": "1970-01-01T00:00:00.000000Z",
+    "gain": 0,
+    "noise_figure": null,
+    "1db_compression_point": null,
+    "enbw": null,
+    "temperature": 26.85
+  },
+  "last_calibration_datetime": "1970-01-01T00:00:00.000000Z",
+  "calibration_parameters": [],
+  "clock_rate_lookup_by_sample_rate": [
+  ],
+  "sensor_uid": "DEFAULT CALIBRATION",
+  "calibration_reference": "noise source output"
+}
+```
+
+The `calibration_parameters` key lists the parameters that will be used to obtain
+the calibration data. In the case of the default calibration, there are no
+`calibration_parameters` so the calibration data is found directly within the
+`calibration_data` element and by default scos-sensor will not apply any additional
+gain. Typically, a sensor would be calibrated at particular
+sensing parameters. The calibration data for specific parameters should be listed
+within the calibration_data object and accessed by the values of the settings
+listed in the calibration_parameters element. For example, the calibration below
+provides an example of a sensor calibrated at a sample rate of 14000000.0 samples
+per second at several frequencies with a signal analyzer reference level setting of -25.
+
+```json
+{
+  "last_calibration_datetime": "2023-10-23T14:39:13.682Z",
+  "calibration_parameters": [
+    "sample_rate",
+    "frequency",
+    "reference_level",
+    "preamp_enable",
+    "attenuation"
+  ],
+  "clock_rate_lookup_by_sample_rate": [],
+  "calibration_data": {
+    "14000000.0": {
+      "3545000000.0": {
+        "-25": {
+          "true": {
+            "0": {
+              "datetime": "2023-10-23T14:38:02.882Z",
+              "gain": 30.09194805857024,
+              "noise_figure": 4.741521295220736,
+              "temperature": 15.6
+            }
+          }
+        }
+      },
+      "3555000000.0": {
+        "-25": {
+          "true": {
+            "0": {
+              "datetime": "2023-10-23T14:38:08.022Z",
+              "gain": 30.401008416406599,
+              "noise_figure": 4.394893979804061,
+              "temperature": 15.6
+            }
+          }
+        }
+      },
+      "3565000000.0": {
+        "-25": {
+          "true": {
+            "0": {
+              "datetime": "2023-10-23T14:38:11.922Z",
+              "gain": 30.848049817892105,
+              "noise_figure": 4.0751785215495819,
+              "temperature": 15.6
+            }
+          }
+        }
+      }
+    }
+  }
+}
+```
+
+When an action is run with the above calibration, SCOS will expect the action to have
+a sample_rate, frequency, and reference_level specified in the action config. The values
+specified for these parameters will then be used to retrieve the calibration data.
+
 ## Security
 
 This section covers authentication, permissions, and certificates used to access the
@@ -661,25 +787,60 @@ repository. The scos-actions repository is intended to be a dependency for every
 as it contains the actions base class and signals needed to interface with scos-sensor.
 These actions use a common but flexible signal analyzer interface that can be
 implemented for new types of hardware. This allows for action re-use by passing the
-signal analyzer interface implementation and the required hardware and measurement
-parameters to the constructor of these actions. Alternatively, custom actions that
-support unique hardware functionality can be added to the plugin.
+measurement parameters to the constructor of these actions and supplying the
+Sensor instance (including the signal analyzer) to the `__call__` method.
+Alternatively, custom actions that support unique hardware functionality can be
+added to the plugin.
 
-The scos-actions repository can also be installed as a plugin which uses a mock signal
-analyzer.
-
-scos-sensor uses the following convention to discover actions offered by plugins: if
+Scos-sensor uses the following convention to discover actions offered by plugins: if
 any Python package begins with "scos_", and contains a dictionary of actions at the
 Python path `package_name.discover.actions`, these actions will automatically be
-available for scheduling.
-
-The scos-usrp plugin adds support for the Ettus B2xx line of signal analyzers.
-It can also be used as an example of a plugin which adds new hardware support and
-re-uses the common actions in scos-actions.
+available for scheduling. Similarly, plugins may offer new action types by including
+a dictionary of action classes at the Python path `package_name.discover.action_classes`.
+Scos-sensor will load all plugin actions and action classes prior to creating actions
+defined in yaml files in `configs/actions` directory. In this manner, a plugin may add new
+action types to scos-sensor and those new types may be instantiated/parameterized with yaml
+config files.
+
+The [scos-usrp](https://github.com/ntia/scos-usrp) plugin adds support for the Ettus B2xx
+line of signal analyzers and [scos-tekrsa](https://github.com/ntia/scos-tekrsa) adss
+support for Tektronix RSA306, RSA306B, RSA503A,
+RSA507A, RSA513A, RSA518A, RSA603A, and RSA607A real-time spectrum analyzers.
+These repositories may also be used as examples of plugins which provide new hardware
+support and re-use the common actions in scos-actions.
 
 For more information on adding actions and hardware support, see [scos-actions](
 <https://github.com/ntia/scos-actions#development>).
 
+### Switching Signal Analyzers
+
+Scos-sensor currently supports Ettus B2xx signal analyzers through
+the [scos-usrp](https://github.com/ntia/scos-usrp) plugin and
+Tektronix RSA306, RSA306B, RSA503A, RSA507A, RSA513A,
+RSA518A, RSA603A, and RSA607A real-time spectrum analyzers through
+the [scos-tekrsa](https://github.com/ntia/scos-tekrsa) plugin. To
+configure scos-sensor for the desired signal analyzer review the
+instructions in the plugin repository. Generally,
+switching signal analyzers involves updating the `BASE_IMAGE`
+setting, updating the requirements, and updating the `SIGAN_MODULE`,
+`SIGAN_CLASS`, and `USB_DEVICE` settings. To identify the
+`BASE_IMAGE`, go to the preferred plugin repository and find
+the latest docker image. For example, see
+[scos-tekrsa base images](https://github.com/NTIA/scos-tekrsa/pkgs/container/scos-tekrsa%2Ftekrsa_usb)
+or
+[scos-usrp base images](https://github.com/NTIA/scos-usrp/pkgs/container/scos-usrp%2Fscos_usrp_uhd).
+Update the `BASE_IMAGE` setting in env file to the desired base image.
+Then update the `SIGAN_MODULE` and `SIGAN_CLASS` settings with
+the appropriate Python module and class that provide
+an implementation of the `SignalAnalyzerInterface`
+(you will have to look in the plugin repo to identify the correct module and class). Finally,
+update the requirements with the selected plugin repo.
+See [Requirements and Configuration](https://github.com/NTIA/scos-sensor?tab=readme-ov-file#requirements-and-configuration)
+and [Using pip-tools](https://github.com/NTIA/scos-sensor?tab=readme-ov-file#using-pip-tools)
+for additional information. Be sure to re-source the environment file, update the
+requirements files, and prune any existing containers
+before rebuilding scos-sensor.
+
 ## Preselector Support
 
 Scos-sensor can be configured to support

configs/default_calibration.json

@@ -0,0 +1,16 @@
+{
+  "calibration_data":{
+    "datetime": "1970-01-01T00:00:00.000000Z",
+    "gain": 0,
+    "noise_figure": 0.0,
+    "1db_compression_point": null,
+    "enbw": null,
+    "temperature": 26.85
+  },
+  "last_calibration_datetime": "1970-01-01T00:00:00.000000Z",
+  "calibration_parameters": [],
+  "clock_rate_lookup_by_sample_rate": [
+  ],
+  "sensor_uid": "DEFAULT CALIBRATION",
+  "calibration_reference": "noise source output"
+}

docker-compose.yml

@@ -59,8 +59,12 @@ services:
       - POSTGRES_PASSWORD
       - SCOS_SENSOR_GIT_TAG
       - SECRET_KEY
+      - SIGAN_MODULE
+      - SIGAN_CLASS
       - SIGAN_POWER_SWITCH
       - SIGAN_POWER_CYCLE_STATES
+      - RUNNING_MIGRATIONS
+      - USB_DEVICE
     expose:
       - '8000'
     volumes:

docker/Dockerfile-api

@@ -6,7 +6,7 @@ RUN apt-get update -q && \
                    apt-get install -qy --no-install-recommends \
                    libusb-1.0-0 libpython3.8 \
                    git smartmontools \
-                   python3-pip python3.8 python3.8-dev && \
+                   python3-pip python3.8 python3.8-dev usbutils && \
     apt-get clean && rm -rf /var/lib/apt/lists/*
 
 ENV PYTHONUNBUFFERED 1
@@ -27,9 +27,6 @@ COPY ./gunicorn /gunicorn
 RUN mkdir -p /entrypoints
 COPY ./entrypoints/api_entrypoint.sh /entrypoints
 
-RUN mkdir -p /scripts
-COPY ./scripts/create_superuser.py /scripts
-
 RUN chmod +x /entrypoints/api_entrypoint.sh
 
 COPY ./configs /configs

entrypoints/api_entrypoint.sh

@@ -10,17 +10,11 @@ function cleanup_demodb {
 
 trap cleanup_demodb SIGTERM
 trap cleanup_demodb SIGINT
-# This is done to avoid loading actions and connecting to the sigan when migrations are applied and when
-# the super user is created.
-cp sensor/migration_settings.py sensor/settings.py
+RUNNING_MIGRATIONS="True"
+export RUNNING_MIGRATIONS
 echo "Starting Migrations"
 python3.8 manage.py migrate
-
-
-echo "Creating superuser (if managed)"
-python3.8 /scripts/create_superuser.py
-cp sensor/runtime_settings.py sensor/settings.py
-
+RUNNING_MIGRATIONS="False"
 echo "Starting Gunicorn"
 exec gunicorn sensor.wsgi -c ../gunicorn/config.py &
 wait