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allegroai 2019-08-08 02:22:36 +03:00
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README.md
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@ -53,7 +53,7 @@ For Windows, we recommend installing our pre-built Docker image on a Linux virtu
sudo mv /tmp/99-trains.conf /etc/sysctl.d/99-trains.conf sudo mv /tmp/99-trains.conf /etc/sysctl.d/99-trains.conf
sudo sysctl -w vm.max_map_count=262144 sudo sysctl -w vm.max_map_count=262144
sudo sudo service docker restart sudo service docker restart
``` ```
1. Create local directories for the databases and storage. 1. Create local directories for the databases and storage.
@ -103,12 +103,12 @@ For Windows, we recommend installing our pre-built Docker image on a Linux virtu
The **trains-server** default configuration can be easily overridden using external configuration files. By default, the server will look for these files in `/opt/trains/config`. The **trains-server** default configuration can be easily overridden using external configuration files. By default, the server will look for these files in `/opt/trains/config`.
If the configuration is changed while the server is running, to apply the changes you must restart the server (see [Restarting trains-server](#restart-server)). In order to apply the new configuration, you must restart the server (see [Restarting trains-server](#restart-server)).
### Configuring TRAINS to Authenticate Web Login Credentials ### Configuring TRAINS to Authenticate Web Login Credentials
By default anyone can login to the **trains-server** Web-App. By default anyone can login to the **trains-server** Web-App.
You can configure the **trains-server** to allow access only to specific users (with pre-configured user/pass). You can configure the **trains-server** to allow only a specific set of users to access the system.
Enable this feature by placing `apiserver.conf` file under `/opt/trains/config`. Enable this feature by placing `apiserver.conf` file under `/opt/trains/config`.
@ -139,10 +139,12 @@ To apply the `apiserver.conf` changes, you must restart the *trains-apiserver* (
### Configuring the Non-Responsive Experiments Watchdog Thresholds ### Configuring the Non-Responsive Experiments Watchdog Thresholds
The non-responsive experiment watchdog monitors experiments that were not updated for a given period of time, The non-responsive experiment watchdog, monitors experiments that were not updated for a given period of time,
and marks them as `aborted`. The watchdog is always active with a default of 7200 seconds (2 hours). and marks them as `aborted`. The watchdog is always active with a default of 7200 seconds (2 hours) of inactivity threshold.
To change the watchdog's timeouts, place a `services.conf` file under `/opt/trains/config`, containing for example: To change the watchdog's timeouts, place a `services.conf` file under `/opt/trains/config`.
Sample watchdog configuration file `/opt/trains/config/services.conf`:
tasks { tasks {
non_responsive_tasks_watchdog { non_responsive_tasks_watchdog {
@ -176,10 +178,16 @@ to use your locally installed server (and not the demo server).
- Or manually edit `~/trains.conf` file, making sure the `api_server` value is configured correctly, for example: - Or manually edit `~/trains.conf` file, making sure the `api_server` value is configured correctly, for example:
api {
# API server on port 8008
api_server: "http://localhost:8008"
api { # web_server on port 8080
api_server: "http://localhost:8008" web_server: "http://localhost:8080"
}
# file server on port 8081
files_server: "http://localhost:8081"
}
See [Installing and Configuring TRAINS](https://github.com/allegroai/trains#installing-and-configuring-trains) for more details. See [Installing and Configuring TRAINS](https://github.com/allegroai/trains#installing-and-configuring-trains) for more details.