Need a quick overview? Try the OpenWISP Demo.
OpenWISP Monitoring is a network monitoring system written in Python and Django, designed to be extensible, programmable, scalable and easy to use by end users: once the system is configured, monitoring checks, alerts and metric collection happens automatically.
See the available features.
OpenWISP is not only an application designed for end users, but can also be used as a framework on which custom network automation solutions can be built on top of its building blocks.
Other popular building blocks that are part of the OpenWISP ecosystem are:
- openwisp-controller: network and WiFi controller: provisioning, configuration management, x509 PKI management and more; works on OpenWRT, but designed to work also on other systems.
- openwisp-network-topology: provides way to collect and visualize network topology data from dynamic mesh routing daemons or other network software (eg: OpenVPN); it can be used in conjunction with openwisp-monitoring to get a better idea of the state of the network
- openwisp-firmware-upgrader: automated firmware upgrades (single device or mass network upgrades)
- openwisp-radius: based on FreeRADIUS, allows to implement network access authentication systems like 802.1x WPA2 Enterprise, captive portal authentication, Hotspot 2.0 (802.11u)
- openwisp-ipam: it allows to manage the IP address space of networks
For a more complete overview of the OpenWISP modules and architecture, see the OpenWISP Architecture Overview.
- Collection of monitoring information in a timeseries database (currently only influxdb is supported)
- Allows to browse alerts easily from the user interface with one click
- Collects and displays device status information like uptime, RAM status, CPU load averages, Interface properties and addresses, WiFi interface status and associated clients, Neighbors information, DHCP Leases, Disk/Flash status
- Monitoring charts for ping success rate, packet loss, round trip time (latency), associated wifi clients, interface traffic, RAM usage, CPU load, flash/disk usage, mobile signal (LTE/UMTS/GSM signal strength, signal quality, access technology in use), bandwidth, transferred data, restransmits, jitter, datagram, datagram loss
- Maintains a record of WiFi sessions with clients' MAC address and vendor, session start and stop time and connected device along with other information
- Charts can be viewed at resolutions of the last 1 day, 3 days, 7 days, 30 days, and 365 days
- Configurable alerts
- CSV Export of monitoring data
- An overview of the status of the network is shown in the admin dashboard, a chart shows the percentages of devices which are online, offline or having issues; there are also two timeseries charts which show the total unique WiFI clients and the traffic flowing to the network, a geographic map is also available for those who use the geographic features of OpenWISP
- Possibility to configure additional Metrics and Charts
- Extensible active check system: it's possible to write additional checks that are run periodically using python classes
- Extensible metrics and charts: it's possible to define new metrics and new charts
- API to retrieve the chart metrics and status information of each device based on NetJSON DeviceMonitoring
- Iperf3 check that provides network performance measurements such as maximum achievable bandwidth, jitter, datagram loss etc of the openwrt device using iperf3 utility
Table of Contents:
- Available Features
- Installation instructions
- Quickstart Guide
- Passive vs Active Metric Collection
- Device Health Status
- Default Metrics
- Dashboard Monitoring Charts
- Adaptive size charts
- Monitoring WiFi Sessions
- Default Alerts / Notifications
- Available Checks
- Iperf3 Check Usage Instructions
- Adding Checks and Alert settings from the device page
- Settings
TIMESERIES_DATABASEOPENWISP_MONITORING_DEFAULT_RETENTION_POLICYOPENWISP_MONITORING_SHORT_RETENTION_POLICYOPENWISP_MONITORING_AUTO_PINGOPENWISP_MONITORING_PING_CHECK_CONFIGOPENWISP_MONITORING_AUTO_DEVICE_CONFIG_CHECKOPENWISP_MONITORING_CONFIG_CHECK_INTERVALOPENWISP_MONITORING_AUTO_IPERF3OPENWISP_MONITORING_IPERF3_CHECK_CONFIGOPENWISP_MONITORING_IPERF3_CHECK_DELETE_RSA_KEYOPENWISP_MONITORING_IPERF3_CHECK_LOCK_EXPIREOPENWISP_MONITORING_AUTO_CHARTSOPENWISP_MONITORING_CRITICAL_DEVICE_METRICSOPENWISP_MONITORING_HEALTH_STATUS_LABELSOPENWISP_MONITORING_WIFI_SESSIONS_ENABLEDOPENWISP_MONITORING_MANAGEMENT_IP_ONLYOPENWISP_MONITORING_DEVICE_RECOVERY_DETECTIONOPENWISP_MONITORING_MAC_VENDOR_DETECTIONOPENWISP_MONITORING_WRITE_RETRY_OPTIONSOPENWISP_MONITORING_TIMESERIES_RETRY_OPTIONSOPENWISP_MONITORING_TIMESERIES_RETRY_DELAYOPENWISP_MONITORING_DASHBOARD_MAPOPENWISP_MONITORING_DASHBOARD_TRAFFIC_CHARTOPENWISP_MONITORING_METRICSOPENWISP_MONITORING_CHARTSOPENWISP_MONITORING_DEFAULT_CHART_TIMEOPENWISP_MONITORING_AUTO_CLEAR_MANAGEMENT_IPOPENWISP_MONITORING_API_URLCONFOPENWISP_MONITORING_API_BASEURLOPENWISP_MONITORING_CACHE_TIMEOUT
- Registering / Unregistering Metric Configuration
- Registering / Unregistering Chart Configuration
- Registering new notification types
- Exceptions
- Rest API
- Signals
- Management commands
- Monitoring scripts
- Migrating from monitoring scripts to monitoring packages
- Extending openwisp-monitoring
- 1. Initialize your custom module
- 2. Install
openwisp-monitoring - 3. Add
EXTENDED_APPS - 4. Add
openwisp_utils.staticfiles.DependencyFinder - 5. Add
openwisp_utils.loaders.DependencyLoader - 6. Inherit the AppConfig class
- 7. Create your custom models
- 8. Add swapper configurations
- 9. Create database migrations
- 10. Create your custom admin
- 11. Create root URL configuration
- 12. Create celery.py
- 13. Import Celery Tasks
- 14. Create the custom command
run_checks - 15. Import the automated tests
- Other base classes that can be inherited and extended
- Contributing
See:
openwisp-monitoring uses InfluxDB to store metrics. Follow the installation instructions from InfluxDB's official documentation.
Note: Only InfluxDB 1.8.x is supported in openwisp-monitoring.
Install system packages:
sudo apt install -y openssl libssl-dev \
gdal-bin libproj-dev libgeos-dev \
fpingInstall from PyPI:
pip install openwisp-monitoringInstall tarball:
pip install https://github.com/openwisp/openwisp-monitoring/tarball/masterAlternatively, you can install via pip using git:
pip install -e git+git://github.com/openwisp/openwisp-monitoring#egg=openwisp_monitoringIf you want to contribute, follow the instructions in "Installing for development" section.
Install the system dependencies as mentioned in the "Install system dependencies" section. Install these additional packages that are required for development:
sudo apt install -y sqlite3 libsqlite3-dev \
libspatialite-dev libsqlite3-mod-spatialite \
chromiumFork and clone the forked repository:
git clone git://github.com/<your_fork>/openwisp-monitoringNavigate into the cloned repository:
cd openwisp-monitoring/Start Redis and InfluxDB using Docker:
docker-compose up -d redis influxdbSetup and activate a virtual-environment. (we'll be using virtualenv)
python -m virtualenv env
source env/bin/activateMake sure that you are using pip version 20.2.4 before moving to the next step:
pip install -U pip wheel setuptoolsInstall development dependencies:
pip install -e .
pip install -r requirements-test.txt
npm install -g jshint stylelintInstall WebDriver for Chromium for your browser version from https://chromedriver.chromium.org/home
and extract chromedriver to one of directories from your $PATH (example: ~/.local/bin/).
Create database:
cd tests/
./manage.py migrate
./manage.py createsuperuserRun celery and celery-beat with the following commands (separate terminal windows are needed):
cd tests/
celery -A openwisp2 worker -l info
celery -A openwisp2 beat -l infoLaunch development server:
./manage.py runserver 0.0.0.0:8000You can access the admin interface at http://127.0.0.1:8000/admin/.
Run tests with:
./runtests.py # using --parallel is not supported in this moduleRun quality assurance tests with:
./run-qa-checksNote: This Docker image is for development purposes only. For the official OpenWISP Docker images, see: docker-openwisp.
Build from the Dockerfile:
docker-compose buildRun the docker container:
docker-compose upFollow the setup instructions of openwisp-controller, then add the settings described below.
INSTALLED_APPS = [
# django apps
# all-auth
'django.contrib.sites',
'allauth',
'allauth.account',
'allauth.socialaccount',
'django_extensions',
'django_filters',
# openwisp2 modules
'openwisp_users',
'openwisp_controller.pki',
'openwisp_controller.config',
'openwisp_controller.connection',
'openwisp_controller.geo',
# monitoring
'openwisp_monitoring.monitoring',
'openwisp_monitoring.device',
'openwisp_monitoring.check',
'nested_admin',
# notifications
'openwisp_notifications',
# openwisp2 admin theme (must be loaded here)
'openwisp_utils.admin_theme',
'admin_auto_filters',
# admin
'django.contrib.admin',
'django.forms',
'import_export'
# other dependencies ...
]
# Make sure you change them in production
# You can select one of the backends located in openwisp_monitoring.db.backends
TIMESERIES_DATABASE = {
'BACKEND': 'openwisp_monitoring.db.backends.influxdb',
'USER': 'openwisp',
'PASSWORD': 'openwisp',
'NAME': 'openwisp2',
'HOST': 'localhost',
'PORT': '8086',
'OPTIONS': {
# Specify additional options to be used while initializing
# database connection.
# Note: These options may differ based on the backend used.
'udp_writes': True,
'udp_port': 8089,
}
}urls.py:
from django.conf import settings
from django.conf.urls import include, url
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from openwisp_utils.admin_theme.admin import admin, openwisp_admin
openwisp_admin()
urlpatterns = [
url(r'^admin/', include(admin.site.urls)),
url(r'', include('openwisp_controller.urls')),
url(r'', include('openwisp_monitoring.urls')),
]
urlpatterns += staticfiles_urlpatterns()Configure caching (you may use a different cache storage if you want):
CACHES = {
'default': {
'BACKEND': 'django_redis.cache.RedisCache',
'LOCATION': 'redis://localhost/0',
'OPTIONS': {
'CLIENT_CLASS': 'django_redis.client.DefaultClient',
}
}
}
SESSION_ENGINE = 'django.contrib.sessions.backends.cache'
SESSION_CACHE_ALIAS = 'default'Configure celery (you may use a different broker if you want):
# here we show how to configure celery with redis but you can
# use other brokers if you want, consult the celery docs
CELERY_BROKER_URL = 'redis://localhost/1'
CELERY_BEAT_SCHEDULE = {
'run_checks': {
'task': 'openwisp_monitoring.check.tasks.run_checks',
# Executes only ping & config check every 5 min
'schedule': timedelta(minutes=5),
'args': (
[ # Checks path
'openwisp_monitoring.check.classes.Ping',
'openwisp_monitoring.check.classes.ConfigApplied',
],
),
'relative': True,
},
# Delete old WifiSession
'delete_wifi_clients_and_sessions': {
'task': 'openwisp_monitoring.monitoring.tasks.delete_wifi_clients_and_sessions',
'schedule': timedelta(days=180),
},
}
INSTALLED_APPS.append('djcelery_email')
EMAIL_BACKEND = 'djcelery_email.backends.CeleryEmailBackend'If you decide to use Redis (as shown in these examples), install the following python packages.
pip install redis django-redisInstall OpenWISP Monitoring using one of the methods mentioned in the "Installation instructions".
Install the openwisp-config agent for OpenWrt on your device.
Install the openwrt-openwisp-monitoring packages on your device.
These packages collect and send the monitoring data from the device to OpenWISP Monitoring and are required to collect metrics like interface traffic, WiFi clients, CPU load, memory usage, etc.
Note: if you are an existing user of openwisp-monitoring and are using the legacy monitoring template for collecting metrics, we highly recommend Migrating from monitoring scripts to monitoring packages.
In order to perform active checks and other actions like triggering the push of configuration changes, executing shell commands or performing firmware upgrades, the OpenWISP server needs to be able to reach the network devices.
There are mainly two deployment scenarios for OpenWISP:
- the OpenWISP server is deployed on the public internet and the devices are geographically distributed across different locations: in this case a management tunnel is needed
- the OpenWISP server is deployed on a computer/server which is located in the same Layer 2 network (that is, in the same LAN) where the devices are located. in this case a management tunnel is NOT needed
This is the most common scenario:
- the OpenWISP server is deployed to the public internet, hence the server has a public IPv4 (and IPv6) address and usually a valid SSL certificate provided by Mozilla Letsencrypt or another SSL provider
- the network devices are geographically distributed across different locations (different cities, different regions, different countries)
In this scenario, the OpenWISP application will not be able to reach the devices unless a management tunnel is used, for that reason having a management VPN like OpenVPN, Wireguard or any other tunneling solution is paramount, not only to allow OpenWISP to work properly, but also to be able to perform debugging and troubleshooting when needed.
In this scenario, the following requirements are needed:
a VPN server must be installed in a way that the OpenWISP server can reach the VPN peers, for more information on how to do this via OpenWISP please refer to the following sections:
If you prefer to use other tunneling solutions (L2TP, Softether, etc.) and know how to configure those solutions on your own, that's totally fine as well.
If the OpenWISP server is connected to a network infrastructure which allows it to reach the devices via pre-existing tunneling or Intranet solutions (eg: MPLS, SD-WAN), then setting up a VPN server is not needed, as long as there's a dedicated interface on OpenWrt which gets an IP address assigned to it and which is reachable from the OpenWISP server.
The devices must be configured to join the management tunnel automatically, either via a pre-existing configuration in the firmware or via an OpenWISP Template.
The openwisp-config agent on the devices must be configured to specify the
management_interfaceoption, the agent will communicate the IP of the management interface to the OpenWISP Server and OpenWISP will use the management IP for reaching the device.For example, if the management interface is named
tun0, the openwisp-config configuration should look like the following example:
# In /etc/config/openwisp on the device
config controller 'http'
# ... other configuration directives ...
option management_interface 'tun0'
When the OpenWISP server and the network devices are deployed in the same L2 network (eg: an office LAN) and the OpenWISP server is reachable on the LAN address, OpenWISP can then use the Last IP field of the devices to reach them.
In this scenario it's necessary to set the
"OPENWISP_MONITORING_MANAGEMENT_IP_ONLY"
setting to False.
By default, the active checks are created automatically for all devices, unless the automatic creation of some specific checks has been disabled, for more information on how to do this, refer to the active checks section.
These checks are created and executed in the background by celery workers.
The the different device metric collected by OpenWISP Monitoring can be divided in two categories:
- metrics collected actively by OpenWISP: these metrics are collected by the celery workers running on the OpenWISP server, which continuously sends network requests to the devices and store the results;
- metrics collected passively by OpenWISP: these metrics are sent by the openwrt-openwisp-monitoring agent installed on the network devices and are collected by OpenWISP via its REST API.
The "Available Checks" section of this document lists the currently implemented active checks.
The possible values for the health status field (DeviceMonitoring.status)
are explained below.
Whenever a new device is created it will have UNKNOWN as it's default Heath Status.
It implies that the system doesn't know whether the device is reachable yet.
Everything is working normally.
One of the metrics has a value which is not in the expected range (the threshold value set in the alert settings has been crossed).
Example: CPU usage should be less than 90% but current value is at 95%.
One of the metrics defined in OPENWISP_MONITORING_CRITICAL_DEVICE_METRICS
has a value which is not in the expected range
(the threshold value set in the alert settings has been crossed).
Example: ping is by default a critical metric which is expected to be always 1 (reachable).
This metric stores the status of the device for viewing purposes.
| measurement: | ping |
| types: | int (reachable and loss), float (rtt) |
| fields: | reachable, loss, rtt_min, rtt_max, rtt_avg |
| configuration: | ping |
| charts: | uptime (Ping Success Rate), packet_loss, rtt |
Ping Success Rate:
Packet loss:
Round Trip Time:
| measurement: | traffic |
| type: | int |
| fields: | rx_bytes, tx_bytes |
| tags: | {
'organization_id': '<organization-id-of-the-related-device>',
'ifname': '<interface-name>',
# optional
'location_id': '<location-id-of-the-related-device-if-present>',
'floorplan_id': '<floorplan-id-of-the-related-device-if-present>',
} |
| configuration: | traffic |
| charts: | traffic |
| measurement: | wifi_clients |
| type: | int |
| fields: | clients |
| tags: | {
'organization_id': '<organization-id-of-the-related-device>',
'ifname': '<interface-name>',
# optional
'location_id': '<location-id-of-the-related-device-if-present>',
'floorplan_id': '<floorplan-id-of-the-related-device-if-present>',
} |
| configuration: | clients |
| charts: | wifi_clients |
| measurement: | <memory> |
| type: | float |
| fields: | percent_used, free_memory, total_memory, buffered_memory, shared_memory, cached_memory, available_memory |
| configuration: | memory |
| charts: | memory |
| measurement: | load |
| type: | float |
| fields: | cpu_usage, load_1, load_5, load_15 |
| configuration: | load |
| charts: | load |
| measurement: | disk |
| type: | float |
| fields: | used_disk |
| configuration: | disk |
| charts: | disk |
| measurement: | signal_strength |
| type: | float |
| fields: | signal_strength, signal_power |
| configuration: | signal_strength |
| charts: | signal_strength |
| measurement: | signal_quality |
| type: | float |
| fields: | signal_quality, signal_quality |
| configuration: | signal_quality |
| charts: | signal_quality |
| measurement: | access_tech |
| type: | int |
| fields: | access_tech |
| configuration: | access_tech |
| charts: | access_tech |
| measurement: | iperf3 |
| types: | int (iperf3_result, sent_bytes_tcp, received_bytes_tcp, retransmits, sent_bytes_udp, total_packets, lost_packets),float (sent_bps_tcp, received_bps_tcp, sent_bps_udp, jitter, lost_percent) |
| fields: | iperf3_result, sent_bps_tcp, received_bps_tcp, sent_bytes_tcp, received_bytes_tcp, retransmits,sent_bps_udp, sent_bytes_udp, jitter, total_packets, lost_packets, lost_percent |
| configuration: | iperf3 |
| charts: | bandwidth, transfer, retransmits, jitter, datagram, datagram_loss |
Bandwidth:
Transferred Data:
Retransmits:
Jitter:
Datagram:
Datagram loss:
For more info on how to configure and use Iperf3, please refer to iperf3 check usage instructions.
Note: Iperf3 charts uses connect_points=True in
default chart configuration that joins it's individual chart data points.
OpenWISP Monitoring adds two timeseries charts to the admin dashboard:
- General WiFi clients Chart: Shows the number of connected clients to the WiFi interfaces of devices in the network.
- General traffic Chart: Shows the amount of traffic flowing in the network.
You can configure the interfaces included in the General traffic chart using the "OPENWISP_MONITORING_DASHBOARD_TRAFFIC_CHART" setting.
When configuring charts, it is possible to flag their unit
as adaptive_prefix, this allows to make the charts more readable because
the units are shown in either K, M, G and T depending on
the size of each point, the summary values and Y axis are also resized.
Example taken from the default configuration of the traffic chart:
'traffic': {
# other configurations for this chart
# traffic measured in 'B' (bytes)
# unit B, KB, MB, GB, TB
'unit': 'adaptive_prefix+B',
},
'bandwidth': {
# adaptive unit for bandwidth related charts
# bandwidth measured in 'bps'(bits/sec)
# unit bps, Kbps, Mbps, Gbps, Tbps
'unit': 'adaptive_prefix+bps',
},OpenWISP Monitoring maintains a record of WiFi sessions created by clients joined to a radio of managed devices. The WiFi sessions are created asynchronously from the monitoring data received from the device.
You can filter both currently open sessions and past sessions by their start or stop time or organization or group of the device clients are connected to or even directly by a device name or ID.
You can disable this feature by configuring OPENWISP_MONITORING_WIFI_SESSIONS_ENABLED setting.
You can also view open WiFi sessions of a device directly from the device's change admin under the "WiFi Sessions" tab.
OpenWISP Monitoring provides a celery task to automatically delete
WiFi sessions older than a pre-configured number of days. In order to run this
task periodically, you will need to configure CELERY_BEAT_SCHEDULE setting as shown
in setup instructions.
The celery task takes only one argument, i.e. number of days. You can provide
any number of days in args key while configuring CELERY_BEAT_SCHEDULE setting.
E.g., if you want WiFi Sessions older than 30 days to get deleted automatically,
then configure CELERY_BEAT_SCHEDULE as follows:
CELERY_BEAT_SCHEDULE = {
'delete_wifi_clients_and_sessions': {
'task': 'openwisp_monitoring.monitoring.tasks.delete_wifi_clients_and_sessions',
'schedule': timedelta(days=1),
'args': (30,), # Here we have defined 30 instead of 180 as shown in setup instructions
},
}Please refer to "Periodic Tasks" section of Celery's documentation to learn more.
| Notification Type | Use |
threshold_crossed |
Fires when a metric crosses the boundary defined in the threshold value of the alert settings. |
threshold_recovery |
Fires when a metric goes back within the expected range. |
connection_is_working |
Fires when the connection to a device is working. |
connection_is_not_working |
Fires when the connection (eg: SSH) to a device stops working (eg: credentials are outdated, management IP address is outdated, or device is not reachable). |
This check returns information on Ping Success Rate and RTT (Round trip time).
It creates charts like Ping Success Rate, Packet Loss and RTT.
These metrics are collected using the fping Linux program.
You may choose to disable auto creation of this check by setting
OPENWISP_MONITORING_AUTO_PING to False.
You can change the default values used for ping checks using OPENWISP_MONITORING_PING_CHECK_CONFIG setting.
This check ensures that the openwisp-config agent is running and applying configuration changes in a timely manner. You may choose to disable auto creation of this check by using the setting OPENWISP_MONITORING_AUTO_DEVICE_CONFIG_CHECK.
This check runs periodically, but it is also triggered whenever the configuration status of a device changes, this ensures the check reacts quickly to events happening in the network and informs the user promptly if there's anything that is not working as intended.
This check provides network performance measurements such as maximum achievable bandwidth, jitter, datagram loss etc of the device using iperf3 utility.
This check is disabled by default. You can enable auto creation of this check by setting the
OPENWISP_MONITORING_AUTO_IPERF3 to True.
You can also add the iperf3 check directly from the device page.
It also supports tuning of various parameters.
You can also change the parameters used for iperf3 checks (e.g. timing, port, username, password, rsa_publc_key etc) using the OPENWISP_MONITORING_IPERF3_CHECK_CONFIG setting.
Note: When setting OPENWISP_MONITORING_AUTO_IPERF3 to True,
you may need to update the metric configuration
to enable alerts for the iperf3 check.
Register your device to OpenWISP and make sure the iperf3 openwrt package is installed on the device, eg:
opkg install iperf3 # if using without authentication
opkg install iperf3-ssl # if using with authentication (read below for more info)Follow the steps in "How to configure push updates" section of the OpenWISP documentation to allow SSH access to you device from OpenWISP.
Note: Make sure device connection is enabled
& working with right update strategy i.e. OpenWRT SSH.
After having deployed your Iperf3 servers, you need to configure the iperf3 settings on the django side of OpenWISP, see the test project settings for reference.
The host can be specified by hostname, IPv4 literal, or IPv6 literal. Example:
OPENWISP_MONITORING_IPERF3_CHECK_CONFIG = {
# 'org_pk' : {'host' : [], 'client_options' : {}}
'a9734710-db30-46b0-a2fc-01f01046fe4f': {
# Some public iperf3 servers
# https://iperf.fr/iperf-servers.php#public-servers
'host': ['iperf3.openwisp.io', '2001:db8::1', '192.168.5.2'],
'client_options': {
'port': 5209,
'udp': {'bitrate': '30M'},
'tcp': {'bitrate': '0'},
},
},
# another org
'b9734710-db30-46b0-a2fc-01f01046fe4f': {
# available iperf3 servers
'host': ['iperf3.openwisp2.io', '192.168.5.3'],
'client_options': {
'port': 5207,
'udp': {'bitrate': '50M'},
'tcp': {'bitrate': '20M'},
},
},
}Note: If an organization has more than one iperf3 server configured, then it enables the iperf3 checks to run concurrently on different devices. If all of the available servers are busy, then it will add the check back in the queue.
The celery-beat configuration for the iperf3 check needs to be added too:
from celery.schedules import crontab
# Celery TIME_ZONE should be equal to django TIME_ZONE
# In order to schedule run_iperf3_checks on the correct time intervals
CELERY_TIMEZONE = TIME_ZONE
CELERY_BEAT_SCHEDULE = {
# Other celery beat configurations
# Celery beat configuration for iperf3 check
'run_iperf3_checks': {
'task': 'openwisp_monitoring.check.tasks.run_checks',
# https://docs.celeryq.dev/en/latest/userguide/periodic-tasks.html#crontab-schedules
# Executes check every 5 mins from 00:00 AM to 6:00 AM (night)
'schedule': crontab(minute='*/5', hour='0-6'),
# Iperf3 check path
'args': (['openwisp_monitoring.check.classes.Iperf3'],),
'relative': True,
}
}Once the changes are saved, you will need to restart all the processes.
Note: We recommended to configure this check to run in non peak traffic times to not interfere with standard traffic.
This should happen automatically if you have celery-beat correctly configured and running in the background. For testing purposes, you can run this check manually using the run_checks command.
After that, you should see the iperf3 network measurements charts.
Currently, iperf3 check supports the following parameters:
| Parameter | Type | Default Value | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
host |
list |
[] |
||||||||||||||||||||||||||||||||||||||||||||||||||||||
username |
str |
'' |
||||||||||||||||||||||||||||||||||||||||||||||||||||||
password |
str |
'' |
||||||||||||||||||||||||||||||||||||||||||||||||||||||
rsa_public_key |
str |
'' |
||||||||||||||||||||||||||||||||||||||||||||||||||||||
client_options |
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||
To learn how to use these parameters, please see the iperf3 check configuration example.
Visit the official documentation to learn more about the iperf3 parameters.
By default iperf3 check runs without any kind of authentication, in this section we will explain how to configure RSA authentication between the client and the server to restrict connections to authenticated clients.
openssl genrsa -des3 -out private.pem 2048
openssl rsa -in private.pem -outform PEM -pubout -out public_key.pem
openssl rsa -in private.pem -out private_key.pem -outform PEMAfter running the commands mentioned above, the public key will be stored in
public_key.pem which will be used in rsa_public_key parameter
in OPENWISP_MONITORING_IPERF3_CHECK_CONFIG
and the private key will be contained in the file private_key.pem
which will be used with --rsa-private-key-path command option when
starting the iperf3 server.
USER=iperfuser PASSWD=iperfpass
echo -n "{$USER}$PASSWD" | sha256sum | awk '{ print $1 }'
----
ee17a7f98cc87a6424fb52682396b2b6c058e9ab70e946188faa0714905771d7 #This is the hash of "iperfuser"Add the above hash with username in credentials.csv
# file format: username,sha256
iperfuser,ee17a7f98cc87a6424fb52682396b2b6c058e9ab70e946188faa0714905771d7iperf3 -s --rsa-private-key-path ./private_key.pem --authorized-users-path ./credentials.csvInstall the iperf3-ssl openwrt package instead of the normal iperf3 openwrt package because the latter comes without support for authentication.
You may also check your installed iperf3 openwrt package features:
root@vm-openwrt:~ iperf3 -v
iperf 3.7 (cJSON 1.5.2)
Linux vm-openwrt 4.14.171 #0 SMP Thu Feb 27 21:05:12 2020 x86_64
Optional features available: CPU affinity setting, IPv6 flow label, TCP congestion algorithm setting,
sendfile / zerocopy, socket pacing, authentication # contains 'authentication'Now, add the following iperf3 authentication parameters to OPENWISP_MONITORING_IPERF3_CHECK_CONFIG in the settings:
OPENWISP_MONITORING_IPERF3_CHECK_CONFIG = {
'a9734710-db30-46b0-a2fc-01f01046fe4f': {
'host': ['iperf1.openwisp.io', 'iperf2.openwisp.io', '192.168.5.2'],
# All three parameters (username, password, rsa_publc_key)
# are required for iperf3 authentication
'username': 'iperfuser',
'password': 'iperfpass',
# Add RSA public key without any headers
# ie. -----BEGIN PUBLIC KEY-----, -----BEGIN END KEY-----
'rsa_public_key': (
"""
MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwuEm+iYrfSWJOupy6X3N
dxZvUCxvmoL3uoGAs0O0Y32unUQrwcTIxudy38JSuCccD+k2Rf8S4WuZSiTxaoea
6Du99YQGVZeY67uJ21SWFqWU+w6ONUj3TrNNWoICN7BXGLE2BbSBz9YaXefE3aqw
GhEjQz364Itwm425vHn2MntSp0weWb4hUCjQUyyooRXPrFUGBOuY+VvAvMyAG4Uk
msapnWnBSxXt7Tbb++A5XbOMdM2mwNYDEtkD5ksC/x3EVBrI9FvENsH9+u/8J9Mf
2oPl4MnlCMY86MQypkeUn7eVWfDnseNky7TyC0/IgCXve/iaydCCFdkjyo1MTAA4
BQIDAQAB
"""
),
'client_options': {
'port': 5209,
'udp': {'bitrate': '20M'},
'tcp': {'bitrate': '0'},
},
}
}We can add checks and define alert settings directly from the device page.
To add a check, you just need to select an available check type as shown below:
The following example shows how to use the OPENWISP_MONITORING_METRICS setting to reconfigure the system for iperf3 check to send an alert if the measured TCP bandwidth has been less than 10 Mbit/s for more than 2 days.
1. By default, Iperf3 checks come with default alert settings, but it is easy to customize alert settings through the device page as shown below:
- Now, add the following notification configuration to send an alert for TCP bandwidth:
# Main project settings.py
from django.utils.translation import gettext_lazy as _
OPENWISP_MONITORING_METRICS = {
'iperf3': {
'notification': {
'problem': {
'verbose_name': 'Iperf3 PROBLEM',
'verb': _('Iperf3 bandwidth is less than normal value'),
'level': 'warning',
'email_subject': _(
'[{site.name}] PROBLEM: {notification.target} {notification.verb}'
),
'message': _(
'The device [{notification.target}]({notification.target_link}) '
'{notification.verb}.'
),
},
'recovery': {
'verbose_name': 'Iperf3 RECOVERY',
'verb': _('Iperf3 bandwidth now back to normal'),
'level': 'info',
'email_subject': _(
'[{site.name}] RECOVERY: {notification.target} {notification.verb}'
),
'message': _(
'The device [{notification.target}]({notification.target_link}) '
'{notification.verb}.'
),
},
},
},
}
Note: To access the features described above, the user must have permissions for Check and AlertSetting inlines,
these permissions are included by default in the "Administrator" and "Operator" groups and are shown in the screenshot below.
| type: | str |
| default: | see below |
TIMESERIES_DATABASE = {
'BACKEND': 'openwisp_monitoring.db.backends.influxdb',
'USER': 'openwisp',
'PASSWORD': 'openwisp',
'NAME': 'openwisp2',
'HOST': 'localhost',
'PORT': '8086',
'OPTIONS': {
'udp_writes': False,
'udp_port': 8089,
}
}The following table describes all keys available in TIMESERIES_DATABASE
setting:
| Key | Description |
||||
BACKEND |
The timeseries database backend to use. You can select one of the backends
located in openwisp_monitoring.db.backends |
||||
USER |
User for logging into the timeseries database | ||||
PASSWORD |
Password of the timeseries database user | ||||
NAME |
Name of the timeseries database | ||||
HOST |
IP address/hostname of machine where the timeseries database is running | ||||
PORT |
Port for connecting to the timeseries database | ||||
OPTIONS |
These settings depends on the timeseries backend:
|
Note: UDP packets can have a maximum size of 64KB. When using UDP for writing timeseries data, if the size of the data exceeds 64KB, TCP mode will be used instead.
Note: If you want to use the openwisp_monitoring.db.backends.influxdb backend
with UDP writes enabled, then you need to enable two different ports for UDP
(each for different retention policy) in your InfluxDB configuration. The UDP configuration
section of your InfluxDB should look similar to the following:
# For writing data with the "default" retention policy
[[udp]]
enabled = true
bind-address = "127.0.0.1:8089"
database = "openwisp2"
# For writing data with the "short" retention policy
[[udp]]
enabled = true
bind-address = "127.0.0.1:8090"
database = "openwisp2"
retention-policy = 'short'
If you are using ansible-openwisp2
for deploying OpenWISP, you can set the influxdb_udp_mode ansible variable to true
in your playbook, this will make the ansible role automatically configure the InfluxDB UDP listeners.
You can refer to the ansible-ow-influxdb's
(a dependency of ansible-openwisp2) documentation to learn more.
| type: | str |
| default: | 26280h0m0s (3 years) |
The default retention policy that applies to the timeseries data.
| type: | str |
| default: | 24h0m0s |
The default retention policy used to store raw device data.
This data is only used to assess the recent status of devices, keeping it for a long time would not add much benefit and would cost a lot more in terms of disk space.
| type: | bool |
| default: | True |
Whether ping checks are created automatically for devices.
| type: | dict |
| default: | {} |
This setting allows to override the default ping check configuration defined in
openwisp_monitoring.check.classes.ping.DEFAULT_PING_CHECK_CONFIG.
For example, if you want to change only the timeout of
ping you can use:
OPENWISP_MONITORING_PING_CHECK_CONFIG = {
'timeout': {
'default': 1000,
},
}If you are overriding the default value for any parameter
beyond the maximum or minimum value defined in
openwisp_monitoring.check.classes.ping.DEFAULT_PING_CHECK_CONFIG,
you will also need to override the maximum or minimum fields
as following:
OPENWISP_MONITORING_PING_CHECK_CONFIG = {
'timeout': {
'default': 2000,
'minimum': 1500,
'maximum': 2500,
},
}Note: Above maximum and minimum values are only used for
validating custom parameters of a Check object.
| type: | bool |
| default: | True |
This setting allows you to choose whether config_applied checks should be created automatically for newly registered devices. It's enabled by default.
| type: | int |
| default: | 5 |
This setting allows you to configure the config check interval used by config_applied. By default it is set to 5 minutes.
| type: | bool |
| default: | False |
This setting allows you to choose whether iperf3 checks should be created automatically for newly registered devices. It's disabled by default.
| type: | dict |
| default: | {} |
This setting allows to override the default iperf3 check configuration defined in
openwisp_monitoring.check.classes.iperf3.DEFAULT_IPERF3_CHECK_CONFIG.
For example, you can change the values of supported iperf3 check parameters.
OPENWISP_MONITORING_IPERF3_CHECK_CONFIG = {
# 'org_pk' : {'host' : [], 'client_options' : {}}
'a9734710-db30-46b0-a2fc-01f01046fe4f': {
# Some public iperf3 servers
# https://iperf.fr/iperf-servers.php#public-servers
'host': ['iperf3.openwisp.io', '2001:db8::1', '192.168.5.2'],
'client_options': {
'port': 6209,
# Number of parallel client streams to run
# note that iperf3 is single threaded
# so if you are CPU bound this will not
# yield higher throughput
'parallel': 5,
# Set the connect_timeout (in milliseconds) for establishing
# the initial control connection to the server, the lower the value
# the faster the down iperf3 server will be detected (ex. 1000 ms (1 sec))
'connect_timeout': 1000,
# Window size / socket buffer size
'window': '300K',
# Only one reverse condition can be chosen,
# reverse or bidirectional
'reverse': True,
# Only one test end condition can be chosen,
# time, bytes or blockcount
'blockcount': '1K',
'udp': {'bitrate': '50M', 'length': '1460K'},
'tcp': {'bitrate': '20M', 'length': '256K'},
},
}
}| type: | bool |
| default: | True |
This setting allows you to set whether iperf3 check RSA public key will be deleted after successful completion of the check or not.
| type: | int |
| default: | 600 |
This setting allows you to set a cache lock expiration time for the iperf3 check when running on multiple servers. Make sure it is always greater than the total iperf3 check time, i.e. greater than the TCP + UDP test time. By default, it is set to 600 seconds (10 mins).
| type: | list |
| default: | ('traffic', 'wifi_clients', 'uptime', 'packet_loss', 'rtt') |
Automatically created charts.
| type: | list of dict objects |
| default: | [{'key': 'ping', 'field_name': 'reachable'}] |
Device metrics that are considered critical:
when a value crosses the boundary defined in the "threshold value" field
of the alert settings related to one of these metric types, the health status
of the device related to the metric moves into CRITICAL.
By default, if devices are not reachable by pings they are flagged as CRITICAL.
| type: | dict |
| default: | {'unknown': 'unknown', 'ok': 'ok', 'problem': 'problem', 'critical': 'critical'} |
This setting allows to change the health status labels, for example, if we
want to use online instead of ok and offline instead of critical,
you can use the following configuration:
OPENWISP_MONITORING_HEALTH_STATUS_LABELS = {
'ok': 'online',
'problem': 'problem',
'critical': 'offline'
}| type: | bool |
| default: | True |
Setting this to False will disable Monitoring Wifi Sessions
feature.
| type: | bool |
| default: | True |
By default, only the management IP will be used to perform active checks to the devices.
If the devices are connecting to your OpenWISP instance using a shared layer2
network, hence the OpenWSP server can reach the devices using the last_ip
field, you can set this to False.
Note: If this setting is not configured, it will fallback to the value of
OPENWISP_CONTROLLER_MANAGEMENT_IP_ONLY setting.
If OPENWISP_CONTROLLER_MANAGEMENT_IP_ONLY also not configured,
then it will fallback to True.
| type: | bool |
| default: | True |
When device recovery detection is enabled, recoveries are discovered as soon as a device contacts the openwisp system again (eg: to get the configuration checksum or to send monitoring metrics).
This feature is enabled by default.
If you use OpenVPN as the management VPN, you may want to check out a similar integration built in openwisp-network-topology: when the status of an OpenVPN link changes (detected by monitoring the status information of OpenVPN), the network topology module will trigger the monitoring checks. For more information see: Network Topology Device Integration
| type: | bool |
| default: | True |
Indicates whether mac addresses will be complemented with hardware vendor information by performing lookups on the OUI (Organization Unique Identifier) table.
This feature is enabled by default.
| type: | dict |
| default: | see below |
# default value of OPENWISP_MONITORING_RETRY_OPTIONS:
dict(
max_retries=None,
retry_backoff=True,
retry_backoff_max=600,
retry_jitter=True,
)Retry settings for recoverable failures during metric writes.
By default if a metric write fails (eg: due to excessive load on timeseries database at that moment) then the operation will be retried indefinitely with an exponential random backoff and a maximum delay of 10 minutes.
This feature makes the monitoring system resilient to temporary outages and helps to prevent data loss.
For more information regarding these settings, consult the celery documentation regarding automatic retries for known errors.
Note: The retry mechanism does not work when using UDP for writing
data to the timeseries database. It is due to the nature of UDP protocol
which does not acknowledge receipt of data packets.
| type: | dict |
| default: | see below |
# default value of OPENWISP_MONITORING_RETRY_OPTIONS:
dict(
max_retries=6,
delay=2
)On busy systems, communication with the timeseries DB can occasionally fail. The timeseries DB backend will retry on any exception according to these settings. The delay kicks in only after the third consecutive attempt.
This setting shall not be confused with OPENWISP_MONITORING_WRITE_RETRY_OPTIONS,
which is used to configure the infinite retrying of the celery task which writes
metric data to the timeseries DB, while OPENWISP_MONITORING_TIMESERIES_RETRY_OPTIONS
deals with any other read/write operation on the timeseries DB which may fail.
However these retries are not handled by celery but are simple python loops, which will eventually give up if a problem persists.
| type: | int |
| default: | 2 |
This settings allow you to configure the retry delay time (in seconds) after 3 failed attempt in timeseries database.
This retry setting is used in retry mechanism to make the requests to the timeseries database resilient.
This setting is independent of celery retry settings.
| type: | bool |
| default: | True |
Whether the geographic map in the dashboard is enabled or not. This feature provides a geographic map which shows the locations which have devices installed in and provides a visual representation of the monitoring status of the devices, this allows to get an overview of the network at glance.
This feature is enabled by default and depends on the setting
OPENWISP_ADMIN_DASHBOARD_ENABLED from
openwisp-utils
being set to True (which is the default).
You can turn this off if you do not use the geographic features of OpenWISP.
| type: | dict |
| default: | {'__all__': ['wan', 'eth1', 'eth0.2']} |
This settings allows to configure the interfaces which should be included in the General Traffic chart in the admin dashboard.
This setting should be defined in the following format:
E.g., if you want the General Traffic chart to show data from two interfaces for an organization, you need to configure this setting as follows:
Note: The value of __all__ key is used if an organization
does not have list of interfaces defined in OPENWISP_MONITORING_DASHBOARD_TRAFFIC_CHART.
Note: If a user can manage more than one organization (e.g. superusers),
then the General Traffic chart will always show data from interfaces
of __all__ configuration.
| type: | dict |
| default: | {} |
This setting allows to define additional metric configuration or to override
the default metric configuration defined in
openwisp_monitoring.monitoring.configuration.DEFAULT_METRICS.
For example, if you want to change only the field_name of
clients metric to wifi_clients you can use:
from django.utils.translation import gettext_lazy as _
OPENWISP_MONITORING_METRICS = {
'clients': {
'label': _('WiFi clients'),
'field_name': 'wifi_clients',
},
}For example, if you want to change only the default alert settings of
memory metric you can use:
OPENWISP_MONITORING_METRICS = {
'memory': {
'alert_settings': {'threshold': 75, 'tolerance': 10}
},
}For example, if you want to change only the notification of
config_applied metric you can use:
from django.utils.translation import gettext_lazy as _
OPENWISP_MONITORING_METRICS = {
'config_applied': {
'notification': {
'problem': {
'verbose_name': 'Configuration PROBLEM',
'verb': _('has not been applied'),
'email_subject': _(
'[{site.name}] PROBLEM: {notification.target} configuration '
'status issue'
),
'message': _(
'The configuration for device [{notification.target}]'
'({notification.target_link}) {notification.verb} in a timely manner.'
),
},
'recovery': {
'verbose_name': 'Configuration RECOVERY',
'verb': _('configuration has been applied again'),
'email_subject': _(
'[{site.name}] RECOVERY: {notification.target} {notification.verb} '
'successfully'
),
'message': _(
'The device [{notification.target}]({notification.target_link}) '
'{notification.verb} successfully.'
),
},
},
},
}Or if you want to define a new metric configuration, which you can then call in your custom code (eg: a custom check class), you can do so as follows:
from django.utils.translation import gettext_lazy as _
OPENWISP_MONITORING_METRICS = {
'top_fields_mean': {
'name': 'Top Fields Mean',
'key': '{key}',
'field_name': '{field_name}',
'label': '_(Top fields mean)',
'related_fields': ['field1', 'field2', 'field3'],
},
}| type: | dict |
| default: | {} |
This setting allows to define additional charts or to override
the default chart configuration defined in
openwisp_monitoring.monitoring.configuration.DEFAULT_CHARTS.
In the following example, we modify the description of the traffic chart:
OPENWISP_MONITORING_CHARTS = {
'traffic': {
'description': (
'Network traffic, download and upload, measured on '
'the interface "{metric.key}", custom message here.'
),
}
}Or if you want to define a new chart configuration, which you can then call in your custom code (eg: a custom check class), you can do so as follows:
from django.utils.translation import gettext_lazy as _
OPENWISP_MONITORING_CHARTS = {
'ram': {
'type': 'line',
'title': 'RAM usage',
'description': 'RAM usage',
'unit': 'bytes',
'order': 100,
'query': {
'influxdb': (
"SELECT MEAN(total) AS total, MEAN(free) AS free, "
"MEAN(buffered) AS buffered FROM {key} WHERE time >= '{time}' AND "
"content_type = '{content_type}' AND object_id = '{object_id}' "
"GROUP BY time(1d)"
)
},
}
}In case you just want to change the colors used in a chart here's how to do it:
OPENWISP_MONITORING_CHARTS = {
'traffic': {
'colors': ['#000000', '#cccccc', '#111111']
}
}| type: | str |
| default: | 7d |
| possible values | 1d, 3d, 7d, 30d or 365d |
Allows to set the default time period of the time series charts.
| type: | bool |
| default: | True |
This setting allows you to automatically clear management_ip of a device when it goes offline. It is enabled by default.
| type: | string |
| default: | None |
Changes the urlconf option of django urls to point the monitoring API
urls to another installed module, example, myapp.urls.
(Useful when you have a seperate API instance.)
| type: | string |
| default: | None |
If you have a seperate server for API of openwisp-monitoring on a different
domain, you can use this option to change the base of the url, this will
enable you to point all the API urls to your openwisp-monitoring API server's
domain, example: https://mymonitoring.myapp.com.
| type: | int |
| default: | 86400 (24 hours in seconds) |
This setting allows to configure timeout (in seconds) for monitoring data cache.
OpenWISP Monitoring provides registering and unregistering metric configuration through utility functions
openwisp_monitoring.monitoring.configuration.register_metric and openwisp_monitoring.monitoring.configuration.unregister_metric.
Using these functions you can register or unregister metric configurations from anywhere in your code.
This function is used to register a new metric configuration from anywhere in your code.
| Parameter | Description |
| metric_name: | A str defining name of the metric configuration. |
| metric_configuration: | A dict defining configuration of the metric. |
An example usage has been shown below.
from django.utils.translation import gettext_lazy as _
from openwisp_monitoring.monitoring.configuration import register_metric
# Define configuration of your metric
metric_config = {
'label': _('Ping'),
'name': 'Ping',
'key': 'ping',
'field_name': 'reachable',
'related_fields': ['loss', 'rtt_min', 'rtt_max', 'rtt_avg'],
'charts': {
'uptime': {
'type': 'bar',
'title': _('Ping Success Rate'),
'description': _(
'A value of 100% means reachable, 0% means unreachable, values in '
'between 0% and 100% indicate the average reachability in the '
'period observed. Obtained with the fping linux program.'
),
'summary_labels': [_('Average Ping Success Rate')],
'unit': '%',
'order': 200,
'colorscale': {
'max': 100,
'min': 0,
'label': _('Rate'),
'scale': [
[[0, '#c13000'],
[0.1,'cb7222'],
[0.5,'#deed0e'],
[0.9, '#7db201'],
[1, '#498b26']],
],
'map': [
[100, '#498b26', _('Flawless')],
[90, '#7db201', _('Mostly Reachable')],
[50, '#deed0e', _('Partly Reachable')],
[10, '#cb7222', _('Mostly Unreachable')],
[None, '#c13000', _('Unreachable')],
],
'fixed_value': 100,
},
'query': chart_query['uptime'],
},
'packet_loss': {
'type': 'bar',
'title': _('Packet loss'),
'description': _(
'Indicates the percentage of lost packets observed in ICMP probes. '
'Obtained with the fping linux program.'
),
'summary_labels': [_('Average packet loss')],
'unit': '%',
'colors': '#d62728',
'order': 210,
'query': chart_query['packet_loss'],
},
'rtt': {
'type': 'scatter',
'title': _('Round Trip Time'),
'description': _(
'Round trip time observed in ICMP probes, measuered in milliseconds.'
),
'summary_labels': [
_('Average RTT'),
_('Average Max RTT'),
_('Average Min RTT'),
],
'unit': _(' ms'),
'order': 220,
'query': chart_query['rtt'],
},
},
'alert_settings': {'operator': '<', 'threshold': 1, 'tolerance': 0},
'notification': {
'problem': {
'verbose_name': 'Ping PROBLEM',
'verb': 'cannot be reached anymore',
'level': 'warning',
'email_subject': _(
'[{site.name}] {notification.target} is not reachable'
),
'message': _(
'The device [{notification.target}] {notification.verb} anymore by our ping '
'messages.'
),
},
'recovery': {
'verbose_name': 'Ping RECOVERY',
'verb': 'has become reachable',
'level': 'info',
'email_subject': _(
'[{site.name}] {notification.target} is reachable again'
),
'message': _(
'The device [{notification.target}] {notification.verb} again by our ping '
'messages.'
),
},
},
}
# Register your custom metric configuration
register_metric('ping', metric_config)The above example will register one metric configuration (named ping), three chart
configurations (named rtt, packet_loss, uptime) as defined in the charts key,
two notification types (named ping_recovery, ping_problem) as defined in notification key.
The AlertSettings of ping metric will by default use threshold and tolerance
defined in the alert_settings key.
You can always override them and define your own custom values via the admin.
You can also use the alert_field key in metric configuration
which allows AlertSettings to check the threshold on
alert_field instead of the default field_name key.
Note: It will raise ImproperlyConfigured exception if a metric configuration
is already registered with same name (not to be confused with verbose_name).
If you don't need to register a new metric but need to change a specific key of an existing metric configuration, you can use OPENWISP_MONITORING_METRICS.
This function is used to unregister a metric configuration from anywhere in your code.
| Parameter | Description |
| metric_name: | A str defining name of the metric configuration. |
An example usage is shown below.
from openwisp_monitoring.monitoring.configuration import unregister_metric
# Unregister previously registered metric configuration
unregister_metric('metric_name')Note: It will raise ImproperlyConfigured exception if the concerned metric
configuration is not registered.
OpenWISP Monitoring provides registering and unregistering chart configuration through utility functions
openwisp_monitoring.monitoring.configuration.register_chart and openwisp_monitoring.monitoring.configuration.unregister_chart.
Using these functions you can register or unregister chart configurations from anywhere in your code.
This function is used to register a new chart configuration from anywhere in your code.
| Parameter | Description |
| chart_name: | A str defining name of the chart configuration. |
| chart_configuration: | A dict defining configuration of the chart. |
An example usage has been shown below.
from openwisp_monitoring.monitoring.configuration import register_chart
# Define configuration of your chart
chart_config = {
'type': 'histogram',
'title': 'Histogram',
'description': 'Histogram',
'top_fields': 2,
'order': 999,
'query': {
'influxdb': (
"SELECT {fields|SUM|/ 1} FROM {key} "
"WHERE time >= '{time}' AND content_type = "
"'{content_type}' AND object_id = '{object_id}'"
)
},
}
# Register your custom chart configuration
register_chart('chart_name', chart_config)Note: It will raise ImproperlyConfigured exception if a chart configuration
is already registered with same name (not to be confused with verbose_name).
If you don't need to register a new chart but need to change a specific key of an existing chart configuration, you can use OPENWISP_MONITORING_CHARTS.
This function is used to unregister a chart configuration from anywhere in your code.
| Parameter | Description |
| chart_name: | A str defining name of the chart configuration. |
An example usage is shown below.
from openwisp_monitoring.monitoring.configuration import unregister_chart
# Unregister previously registered chart configuration
unregister_chart('chart_name')Note: It will raise ImproperlyConfigured exception if the concerned chart
configuration is not registered.
You can define your own notification types using register_notification_type function from OpenWISP
Notifications. For more information, see the relevant openwisp-notifications section about registering notification types.
Once a new notification type is registered, you have to use the "notify" signal provided in openwisp-notifications to send notifications for this type.
Path: openwisp_monitoring.db.exceptions.TimeseriesWriteException
If there is any failure due while writing data in timeseries database, this exception shall be raised with a helpful error message explaining the cause of the failure. This exception will normally be caught and the failed write task will be retried in the background so that there is no loss of data if failures occur due to overload of Timeseries server. You can read more about this retry mechanism at OPENWISP_MONITORING_WRITE_RETRY_OPTIONS.
Path: openwisp_monitoring.monitoring.exceptions.InvalidMetricConfigException
This exception shall be raised if the metric configuration is broken.
Path: openwisp_monitoring.monitoring.exceptions.InvalidChartConfigException
This exception shall be raised if the chart configuration is broken.
A general live API documentation (following the OpenAPI specification) at /api/v1/docs/.
Additionally, opening any of the endpoints listed below directly in the browser will show the browsable API interface of Django-REST-Framework, which makes it even easier to find out the details of each endpoint.
Since the detailed explanation is contained in the Live documentation and in the Browsable web page of each point, here we'll provide just a list of the available endpoints, for further information please open the URL of the endpoint in your browser.
GET /api/v1/monitoring/dashboard/
This API endpoint is used to show dashboard monitoring charts. It supports
multi-tenancy and allows filtering monitoring data by organization_slug,
location_id and floorplan_id e.g.:
GET /api/v1/monitoring/dashboard/?organization_slug=<org1-slug>,<org2-slug>&location_id=<location1-id>,<location2-id>&floorplan_id=<floorplan1-id>,<floorplan2-id>
- When retrieving chart data, the
timeparameter allows to specify the time frame, eg:1d: returns data of the last day3d: returns data of the last 3 days7d: returns data of the last 7 days30d: returns data of the last 30 days365d: returns data of the last 365 days
- In alternative to
timeit is possible to request chart data for a custom date range by using thestartandendparameters, eg:
GET /api/v1/monitoring/dashboard/?start={start_datetime}&end={end_datetime}
Note: start and end parameters should be in the format
YYYY-MM-DD H:M:S, otherwise 400 Bad Response will be returned.
GET /api/v1/monitoring/device/{pk}/?key={key}&status=true&time={timeframe}
The format used for Device Status is inspired by NetJSON DeviceMonitoring.
Notes:
- If the request is made without
?status=truethe response will contain only charts data and will not include any device status information (current load average, ARP table, DCHP leases, etc.). - When retrieving chart data, the
timeparameter allows to specify the time frame, eg:1d: returns data of the last day3d: returns data of the last 3 days7d: returns data of the last 7 days30d: returns data of the last 30 days365d: returns data of the last 365 days
- In alternative to
timeit is possible to request chart data for a custom date range by using thestartandendparameters, eg: - The response contains device information, monitoring status (health status),
a list of metrics with their respective statuses, chart data and
device status information (only if
?status=true). - This endpoint can be accessed with session authentication, token authentication, or alternatively with the device key passed as query string parameter as shown below (?key={key}); note: this method is meant to be used by the devices.
GET /api/v1/monitoring/device/{pk}/?key={key}&status=true&start={start_datetime}&end={end_datetime}
Note: start and end parameters must be in the format
YYYY-MM-DD H:M:S, otherwise 400 Bad Response will be returned.
GET /api/v1/monitoring/device/
Notes:
- The response contains device information and monitoring status (health status), but it does not include the information and health status of the specific metrics, this information can be retrieved in the detail endpoint of each device.
- This endpoint can be accessed with session authentication and token authentication.
Available filters
Data can be filtered by health status (e.g. critical, ok, problem, and unknown) to obtain the list of devices in the corresponding status, for example, to retrieve the list of devices which are in critical conditions (eg: unreachable), the following will work:
GET /api/v1/monitoring/device/?monitoring__status=critical
To filter a list of device monitoring data based
on their organization, you can use the organization_id.
GET /api/v1/monitoring/device/?organization={organization_id}
To filter a list of device monitoring data based
on their organization slug, you can use the organization_slug.
GET /api/v1/monitoring/device/?organization_slug={organization_slug}
POST /api/v1/monitoring/device/{pk}/?key={key}&time={datetime}
If data is latest then an additional parameter current can also be passed. For e.g.:
POST /api/v1/monitoring/device/{pk}/?key={key}&time={datetime}¤t=true
The format used for Device Status is inspired by NetJSON DeviceMonitoring.
Note: the device data will be saved in the timeseries database using
the date time specified time, this should be in the format
%d-%m-%Y_%H:%M:%S.%f, otherwise 400 Bad Response will be returned.
If the request is made without passing the time argument,
the server local time will be used.
The time parameter was added to support resilient collection
and sending of data by the OpenWISP Monitoring Agent,
this feature allows sending data collected while the device is offline.
GET /api/v1/monitoring/device/{pk}/nearby-devices/
Returns list of nearby devices along with respective distance (in metres) and monitoring status.
Available filters
The list of nearby devices provides the following filters:
organization(Organization ID of the device)organization__slug(Organization slug of the device)monitoring__status(Monitoring status (unknown,ok,problem, orcritical))model(Pipe | separated list of device models)distance__lte(Distance in metres)
Here's a few examples:
GET /api/v1/monitoring/device/{pk}/nearby-devices/?organization={organization_id}
GET /api/v1/monitoring/device/{pk}/nearby-devices/?organization__slug={organization_slug}
GET /api/v1/monitoring/device/{pk}/nearby-devices/?monitoring__status={monitoring_status}
GET /api/v1/monitoring/device/{pk}/nearby-devices/?model={model1,model2}
GET /api/v1/monitoring/device/{pk}/nearby-devices/?distance__lte={distance}
GET /api/v1/monitoring/wifi-session/
Available filters
The list of wifi session provides the following filters:
device__organization(Organization ID of the device)device(Device ID)device__group(Device group ID)start_time(Start time of the wifi session)stop_time(Stop time of the wifi session)
Here's a few examples:
GET /api/v1/monitoring/wifi-session/?device__organization={organization_id}
GET /api/v1/monitoring/wifi-session/?device={device_id}
GET /api/v1/monitoring/wifi-session/?device__group={group_id}
GET /api/v1/monitoring/wifi-session/?start_time={stop_time}
GET /api/v1/monitoring/wifi-session/?stop_time={stop_time}
Note: Both start_time and stop_time support greater than or equal to, as well as less than or equal to, filter lookups.
For example:
GET /api/v1/monitoring/wifi-session/?start_time__gt={start_time}
GET /api/v1/monitoring/wifi-session/?start_time__gte={start_time}
GET /api/v1/monitoring/wifi-session/?stop_time__lt={stop_time}
GET /api/v1/monitoring/wifi-session/?stop_time__lte={stop_time}
GET /api/v1/monitoring/wifi-session/{id}/
Wifi session endpoint support the page_size parameter
that allows paginating the results in conjunction with the page parameter.
GET /api/v1/monitoring/wifi-session/?page_size=10
GET /api/v1/monitoring/wifi-session/?page_size=10&page=1
Path: openwisp_monitoring.device.signals.device_metrics_received
Arguments:
instance: instance ofDevicewhose metrics have been receivedrequest: the HTTP request objecttime: time with which metrics will be saved. If none, then server time will be usedcurrent: whether the data has just been collected or was collected previously and sent now due to network connectivity issues
This signal is emitted when device metrics are received to the DeviceMetric
view (only when using HTTP POST).
The signal is emitted just before a successful response is returned, it is not sent if the response was not successful.
Path: openwisp_monitoring.device.signals.health_status_changed
Arguments:
instance: instance ofDeviceMonitoringwhose status has been changedstatus: the status by which DeviceMonitoring's existing status has been updated with
This signal is emitted only if the health status of DeviceMonitoring object gets updated.
Path: openwisp_monitoring.monitoring.signals.threshold_crossed
Arguments:
metric:Metricobject whose threshold defined in related alert settings was crossedalert_settings:AlertSettingsrelated to theMetrictarget: relatedDeviceobjectfirst_time: it will be set to true when the metric is written for the first time. It shall be set to false afterwards.tolerance_crossed: it will be set to true if the metric has crossed the threshold for tolerance configured in alert settings. Otherwise, it will be set to false.
first_time parameter can be used to avoid initiating unneeded actions.
For example, sending recovery notifications.
This signal is emitted when the threshold value of a Metric defined in
alert settings is crossed.
Path: openwisp_monitoring.monitoring.signals.pre_metric_write
Arguments:
metric:Metricobject whose data shall be stored in timeseries databasevalues: metric data that shall be stored in the timeseries databasetime: time with which metrics will be savedcurrent: whether the data has just been collected or was collected previously and sent now due to network connectivity issues
This signal is emitted for every metric before the write operation is sent to the timeseries database.
Path: openwisp_monitoring.monitoring.signals.post_metric_write
Arguments:
metric:Metricobject whose data is being stored in timeseries databasevalues: metric data that is being stored in the timeseries databasetime: time with which metrics will be savedcurrent: whether the data has just been collected or was collected previously and sent now due to network connectivity issues
This signal is emitted for every metric after the write operation is successfully executed in the background.
This command will execute all the available checks for all the devices. By default checks are run periodically by celery beat. You can learn more about this in Setup.
Example usage:
cd tests/
./manage.py run_checksThis command triggers asynchronous migration of the time-series database.
Example usage:
cd tests/
./manage.py migrate_timeseriesMonitoring scripts are now deprecated in favour of monitoring packages. Follow the migration guide in Migrating from monitoring scripts to monitoring packages section of this documentation.
This section is intended for existing users of openwisp-monitoring. The older version of openwisp-monitoring used monitoring scripts that are now deprecated in favour of monitoring packages.
If you already had a monitoring template created on your installation, then the migrations of openwisp-monitoring will update that template by making the following changes:
- The file name of all scripts will be appended with
legacy-keyword in order to differentiate them from the scripts bundled with the new packages. - The
/usr/sbin/legacy-openwisp-monitoring(previously/usr/sbin/openwisp-monitoring) script will be updated to exit if openwisp-monitoring package is installed on the device.
Install the monitoring packages as mentioned in the Install monitoring packages on device section of this documentation.
After the proper configuration of the openwisp-monitoring package on your device, you can remove the monitoring template from your devices.
We suggest removing the monitoring template from the devices one at a time instead of deleting the template. This ensures the correctness of openwisp monitoring package configuration and you'll not miss out on any monitoring data.
Note: If you have made changes to the default monitoring template created by openwisp-monitoring or you are using custom monitoring templates, then you should remove such templates from the device before installing the monitoring packages.
One of the core values of the OpenWISP project is Software Reusability, for this reason openwisp-monitoring provides a set of base classes which can be imported, extended and reused to create derivative apps.
In order to implement your custom version of openwisp-monitoring, you need to perform the steps described in the rest of this section.
When in doubt, the code in the test project
and the sample apps namely sample_check,
sample_monitoring, sample_device_monitoring
will guide you in the correct direction:
just replicate and adapt that code to get a basic derivative of
openwisp-monitoring working.
Premise: if you plan on using a customized version of this module, we suggest to start with it since the beginning, because migrating your data from the default module to your extended version may be time consuming.
The first thing you need to do in order to extend any openwisp-monitoring app is create a new django app which will contain your custom version of that openwisp-monitoring app.
A django app is nothing more than a
python package
(a directory of python scripts), in the following examples we'll call these django apps as
mycheck, mydevicemonitoring, mymonitoring but you can name it how you want:
django-admin startapp mycheck django-admin startapp mydevicemonitoring django-admin startapp mymonitoring
Keep in mind that the command mentioned above must be called from a directory which is available in your PYTHON_PATH so that you can then import the result into your project.
Now you need to add mycheck to INSTALLED_APPS in your settings.py,
ensuring also that openwisp_monitoring.check has been removed:
INSTALLED_APPS = [
# ... other apps ...
# 'openwisp_monitoring.check', <-- comment out or delete this line
# 'openwisp_monitoring.device', <-- comment out or delete this line
# 'openwisp_monitoring.monitoring' <-- comment out or delete this line
'mycheck',
'mydevicemonitoring',
'mymonitoring',
'nested_admin',
]For more information about how to work with django projects and django apps, please refer to the "Tutorial: Writing your first Django app" in the django docunmentation.
Install (and add to the requirement of your project) openwisp-monitoring:
pip install --U https://github.com/openwisp/openwisp-monitoring/tarball/master
Add the following to your settings.py:
EXTENDED_APPS = ['device_monitoring', 'monitoring', 'check']Add openwisp_utils.staticfiles.DependencyFinder to
STATICFILES_FINDERS in your settings.py:
STATICFILES_FINDERS = [
'django.contrib.staticfiles.finders.FileSystemFinder',
'django.contrib.staticfiles.finders.AppDirectoriesFinder',
'openwisp_utils.staticfiles.DependencyFinder',
]Add openwisp_utils.loaders.DependencyLoader to TEMPLATES in your settings.py:
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'OPTIONS': {
'loaders': [
'django.template.loaders.filesystem.Loader',
'django.template.loaders.app_directories.Loader',
'openwisp_utils.loaders.DependencyLoader',
],
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
}
]Please refer to the following files in the sample app of the test project:
- sample_check/__init__.py.
- sample_check/apps.py.
- sample_monitoring/__init__.py.
- sample_monitoring/apps.py.
- sample_device_monitoring/__init__.py.
- sample_device_monitoring/apps.py.
For more information regarding the concept of AppConfig please refer to
the "Applications" section in the django documentation.
To extend check app, refer to sample_check models.py file.
To extend monitoring app, refer to sample_monitoring models.py file.
To extend device_monitoring app, refer to sample_device_monitoring models.py file.
Note:
- For doubts regarding how to use, extend or develop models please refer to the "Models" section in the django documentation.
- For doubts regarding proxy models please refer to proxy models.
Add the following to your settings.py:
# Setting models for swapper module
# For extending check app
CHECK_CHECK_MODEL = 'YOUR_MODULE_NAME.Check'
# For extending monitoring app
MONITORING_CHART_MODEL = 'YOUR_MODULE_NAME.Chart'
MONITORING_METRIC_MODEL = 'YOUR_MODULE_NAME.Metric'
MONITORING_ALERTSETTINGS_MODEL = 'YOUR_MODULE_NAME.AlertSettings'
# For extending device_monitoring app
DEVICE_MONITORING_DEVICEDATA_MODEL = 'YOUR_MODULE_NAME.DeviceData'
DEVICE_MONITORING_DEVICEMONITORING_MODEL = 'YOUR_MODULE_NAME.DeviceMonitoring'
DEVICE_MONITORING_WIFICLIENT_MODEL = 'YOUR_MODULE_NAME.WifiClient'
DEVICE_MONITORING_WIFISESSION_MODEL = 'YOUR_MODULE_NAME.WifiSession'Substitute <YOUR_MODULE_NAME> with your actual django app name
(also known as app_label).
Create and apply database migrations:
./manage.py makemigrations ./manage.py migrate
For more information, refer to the "Migrations" section in the django documentation.
To extend check app, refer to sample_check admin.py file.
To extend monitoring app, refer to sample_monitoring admin.py file.
To extend device_monitoring app, refer to sample_device_monitoring admin.py file.
To introduce changes to the admin, you can do it in the two ways described below.
Note: for doubts regarding how the django admin works, or how it can be customized, please refer to "The django admin site" section in the django documentation.
If the changes you need to add are relatively small, you can resort to monkey patching.
For example, for check app you can do it as:
from openwisp_monitoring.check.admin import CheckAdmin
CheckAdmin.list_display.insert(1, 'my_custom_field')
CheckAdmin.ordering = ['-my_custom_field']Similarly for device_monitoring app, you can do it as:
from openwisp_monitoring.device.admin import DeviceAdmin, WifiSessionAdmin
DeviceAdmin.list_display.insert(1, 'my_custom_field')
DeviceAdmin.ordering = ['-my_custom_field']
WifiSessionAdmin.fields += ['my_custom_field']Similarly for monitoring app, you can do it as:
from openwisp_monitoring.monitoring.admin import MetricAdmin, AlertSettingsAdmin
MetricAdmin.list_display.insert(1, 'my_custom_field')
MetricAdmin.ordering = ['-my_custom_field']
AlertSettingsAdmin.list_display.insert(1, 'my_custom_field')
AlertSettingsAdmin.ordering = ['-my_custom_field']If you need to introduce significant changes and/or you don't want to resort to monkey patching, you can proceed as follows:
For check app,
from django.contrib import admin
from openwisp_monitoring.check.admin import CheckAdmin as BaseCheckAdmin
from swapper import load_model
Check = load_model('check', 'Check')
admin.site.unregister(Check)
@admin.register(Check)
class CheckAdmin(BaseCheckAdmin):
# add your changes hereFor device_monitoring app,
from django.contrib import admin
from openwisp_monitoring.device_monitoring.admin import DeviceAdmin as BaseDeviceAdmin
from openwisp_monitoring.device_monitoring.admin import WifiSessionAdmin as BaseWifiSessionAdmin
from swapper import load_model
Device = load_model('config', 'Device')
WifiSession = load_model('device_monitoring', 'WifiSession')
admin.site.unregister(Device)
admin.site.unregister(WifiSession)
@admin.register(Device)
class DeviceAdmin(BaseDeviceAdmin):
# add your changes here
@admin.register(WifiSession)
class WifiSessionAdmin(BaseWifiSessionAdmin):
# add your changes hereFor monitoring app,
from django.contrib import admin
from openwisp_monitoring.monitoring.admin import (
AlertSettingsAdmin as BaseAlertSettingsAdmin,
MetricAdmin as BaseMetricAdmin
)
from swapper import load_model
Metric = load_model('Metric')
AlertSettings = load_model('AlertSettings')
admin.site.unregister(Metric)
admin.site.unregister(AlertSettings)
@admin.register(Metric)
class MetricAdmin(BaseMetricAdmin):
# add your changes here
@admin.register(AlertSettings)
class AlertSettingsAdmin(BaseAlertSettingsAdmin):
# add your changes herePlease refer to the urls.py file in the test project.
For more information about URL configuration in django, please refer to the "URL dispatcher" section in the django documentation.
Please refer to the celery.py file in the test project.
For more information about the usage of celery in django, please refer to the "First steps with Django" section in the celery documentation.
Add the following in your settings.py to import celery tasks from device_monitoring app.
CELERY_IMPORTS = ('openwisp_monitoring.device.tasks',)Please refer to the run_checks.py file in the test project.
For more information about the usage of custom management commands in django, please refer to the "Writing custom django-admin commands" section in the django documentation.
When developing a custom application based on this module, it's a good idea to import and run the base tests too, so that you can be sure the changes you're introducing are not breaking some of the existing features of openwisp-monitoring.
In case you need to add breaking changes, you can overwrite the tests defined in the base classes to test your own behavior.
For, extending check app see the tests of sample_check app
to find out how to do this.
For, extending device_monitoring app see the tests of sample_device_monitoring app
to find out how to do this.
For, extending monitoring app see the tests of sample_monitoring app
to find out how to do this.
The following steps are not required and are intended for more advanced customization.
This view is responsible for displaying Charts and Status primarily.
The full python path is: openwisp_monitoring.device.api.views.DeviceMetricView.
If you want to extend this view, you will have to perform the additional steps below.
Step 1. Import and extend view:
# mydevice/api/views.py
from openwisp_monitoring.device.api.views import (
DeviceMetricView as BaseDeviceMetricView
)
class DeviceMetricView(BaseDeviceMetricView):
# add your customizations here ...
passStep 2: remove the following line from your root urls.py file:
re_path(
'api/v1/monitoring/device/(?P<pk>[^/]+)/$',
views.device_metric,
name='api_device_metric',
),Step 3: add an URL route pointing to your custom view in urls.py file:
# urls.py
from mydevice.api.views import DeviceMetricView
urlpatterns = [
# ... other URLs
re_path(r'^(?P<path>.*)$', DeviceMetricView.as_view(), name='api_device_metric',),
]Please refer to the OpenWISP contributing guidelines.