Aviso can be used as a Python API or as Command-Line Interface (CLI) application. Here a few steps to quickly get a working configuration listening to notifications.
Note, this guide assumes the user to have a ECMWF account.
data
flavour. This will automatically install ECMWF packages such as MARS and Aviso.Configure MARS credentials, follow the instructions in Configuring MARS access. Aviso uses the same credentials.
Create a configuration file in the default location ~/aviso/config.yaml.
Below an example for products notifications:
listeners: - event: dissemination request: destination: <user_destination> class: od expver: 1 domain: g stream: enfo step: [1,2,3] triggers: - type: echo |
Note the dissemination
event listener. request
describes for which dissemination event users want to execute the triggers. It is made of a set of fields. Users have to specify only the fields they wants to use as filters. destination
is a mandatory field and it is associated to one or more destinations which are linked to the user's ECMWF account. Only the notifications complying with all the fields defined will execute the trigger. The trigger in this example is echo
. This will simply print out the notification to the console output.
Below an example for real time model output notifications:
listeners: - event: mars request: class: od expver: 1 domain: g stream: enfo step: [1,2,3] triggers: - type: echo |
Note the mars
event listener. destination field is not present here.
Activate base conda environment. Aviso is part of it.
user@local conda activate |
Launch the aviso application
user@local aviso listen |
Once in execution this command will create a process waiting for notifications. Users can terminate the application by typing CTRL+C
.
Note, the configuration file is only read at start time, therefore every time users make changes to it they need to restart the listening process.
Aviso provides the capability of submitting test notifications to a local server. This functionality can be used to test the listener configuration without any impact to the operational server.
Launch the aviso application in test mode. This allows to connect to a local file-based notification server, part of the aviso application, that is able to simulate the notification server behaviour.
user@local aviso listen --test |
The console should display a Test Mode
message.
Send a test dissemination
notification. From another terminal run the notify
command. Here an example, matching the example configuration presented above:
user@local aviso notify event=dissemination,class=od,date=20190810,destination=<user_destination>,domain=g,expver=1,step=1,stream=enfo,time=0,location=xxxx --test |
Note the list of fields required for a dissemination
event, the order is not important, but the command requires all of them. The destination
has to match the one of the listener configuration.
mars
notification the fields destination
and location
have to be removed.After a few seconds, the console output should display the notification, as the trigger is set to echo
.
Aviso configuration file allows the definition of multiple listeners. Alternatively, the listeners configuration can be indicated as an independent file or multiple files:
user@local aviso listen listener1.yaml listener2.yaml |
Regardless where is defined, each listener is composed of:
event
typerequest
blocktriggers
blockAviso offers notifications for the following types of events:
dissemination
event is submitted by the product generation. The related listener configuration must define the destination
field. A notification related to a dissemination
event will have the field location
containing the URL to the product notified.The mars
event is designed for real-time data from the model output. The related listener configuration does not have the destination
field and has no mandatory fields. Moreover the related notification will not contain the location
field because users will have to access to it by the conventional MARS API.
The table below shows the full list of fields accepted in a request
block. These fields represent a subset on the MARS language.
Field | Type | Event | Optional/Mandatory |
---|---|---|---|
destination | String, uppercase | dissemination | Mandatory |
class | Enum | All | Optional |
stream | Enum | All | Optional |
domain | Enum | All | Optional |
expver | Integer | All | Optional |
date | Date (e.g.20190810) | All | Optional |
time | Values: [0,6,12,18] | All | Optional |
step | Integer | All | Optional |
The triggers
block accepts a sequence of triggers. Each trigger will result in an independent process executed every time a notification is received. This sections shows the type of triggers currently available.
This is the simplest trigger as it prints the notification to the console output. It is used for testing and it does not accept any extra parameters.
triggers: - type: echo |
This trigger logs the event to a log file. It is useful for recording the received event. Note, it will fail if the directory does not exist.
triggers: - type: log path: testLog.log |
Command
This trigger allows the user to define a shell command to work with the notification.
triggers: - type: command working_dir: $HOME/aviso/examples command: ./script.sh --date ${request.date} -s ${request.stream} environment: STEP: ${request.step} TIME: "The time is ${request.time}" |
command
is the command that will be executed for each notification received. This is a mandatory field.environment
is a user defined list of local variables that will be passed to the command shell. This is an optional field.working_dir
defines the working directory that will be set before executing the command. This is an optional field.Moreover, the system performs a parameter substitution in the command
and environment
fields, for every sequence of the pattern:
${name}
, it replaces it with the value associated to the corresponding key found in the notification received.${json}
, it replaces it with the whole notification formatted as a JSON inline string.${jsonpath}
, it replaces it with the file name of a JSON file containing the notification.A notification is a dictionary whose keys can be used in the parameter substitution mechanism described above. Here an example of a notification:
{ "event": "dissemination", "request": { "class": "od", "date": "20191112", "destination": "FOO", "domain": "g", "expver": "0001", "step": "001", "stream": "enfo", "time": "18" }, "location": "s3://storage.ecmwf.europeanweather.cloud/ecpds/xxx.xx" } |
Here an example file of a listener command triggering a bash script executing a MARS request.
Aviso can be used as a Python API. This is intended for users that want to integrate Aviso in a bigger workflow written in Python or that simply have their trigger defined as a Python function. Below an example of a python script that defines a function to be executed once a notification is received, creates a listener that references to this function trigger and finally passes it to aviso to execute.
Note, the Aviso configuration file /etc/aviso/config.yaml is still needed for the authentication as explained above.
from pyaviso.notification_manager import NotificationManager # define function to be called def do_something(notification): print(f"Notification for step {notification['request']['step']} received") # now do something useful with it ... # define the trigger trigger = {"type": "function", "function": do_something} # create a event listener request that uses that trigger request = {"class": "od", "stream": "oper", "expver": 1, "domain": "g", "step": 1} listener = {"event": "mars", "request": request, "triggers": [trigger]} listeners = {"listeners": [listener]} # run it aviso = NotificationManager() aviso.listen(listeners=listeners) |
Here an example file of a Python script running Aviso and executing a MARS request after a notification is received.
Before listening to new notifications, Aviso by default checks what was the last notification received and it will then return all the notifications that have been missed since. It will then carry on by listening to new ones. The first ever time the application runs however no previous notification will be returned. This behaviour allows users not to miss any notifications in case of machine reboots.
To override this behaviour by ignoring the missed notifications while listening only to the new ones, run the following:
user@local aviso listen --now |
This command will also reset the previous history.
Users can also explicitly replay past notifications. Aviso can deliver notifications from the ECMWF server up to 14 days in the past. This can also be used to test the listener configuration with real notifications.
Here an example, launch Aviso with the following options:
user@local aviso listen --from 2020-01-20T00:00:00.0Z --to 2020-01-21T00:00:00.0Z |
It will replay all the notifications sent from 20 January to 21 January and the ones complying with the listener request will execute the triggers.
Note, the dates must be in the past and --to
can only be defined together with --from
. The dates are defined in ISO format and they are in UTC.
In absence of --to
, the system after having retrieved the past notifications, it will continue listening to future notifications. If --to
is defined Aviso will terminate once retrieved all the past notifications.
Aviso can be executed as a system service. This helps automating its restart in case of machine reboots. The following steps help to configure Aviso to run as a service that automatically restart:
Create a system service unit, by creating the following file in /etc/systemd/system/aviso.service:
[Unit] Description=Aviso [Service] User=<username> (if omitted it will run as root) Group=<groupname> (optional) WorkingDirectory= <home_directory> (optional) ExecStart=/opt/anaconda3/bin/aviso listen Restart=always [Install] WantedBy=multi-user.target |
Enable the aviso service:
user@local sudo systemctl enable aviso.service |
Reload systemd:
user@local sudo systemctl daemon-reload |
Start the service:
user@local sudo systemctl start aviso.service |
Note, if users change Aviso configuration, Aviso service must be restarted otherwise the change will be ineffective.