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Author SHA1 Message Date
allegroai
4daf607ff7 Add AMI v0.10.0 2019-07-09 11:13:13 +03:00
allegroai
fd789ef20c Documentation 2019-07-09 10:20:30 +03:00
allegroai
76962667a3 Add fixed user list support 2019-07-09 00:04:43 +03:00
allegroai
a33c94e24f Add task diff support 2019-07-09 00:04:26 +03:00
allegroai
566b28dc4c Add external configuration support 2019-07-09 00:04:02 +03:00
allegroai
54e3a156c1 Add external configuration defaults 2019-07-09 00:03:49 +03:00
allegroai
8605186a97 Add external configuration support 2019-07-09 00:03:09 +03:00
allegroai
61fb6553e6 Add keep alive api 2019-07-09 00:02:05 +03:00
allegroai
76418eec1b Add server version api 2019-07-09 00:01:16 +03:00
allegroai
b5cc858494 Add cookie configuration 2019-07-09 00:00:44 +03:00
allegroai
5c8519be1e Add keep alive api 2019-07-09 00:00:13 +03:00
allegroai
18392ad2fd Add missing completed status 2019-07-08 23:59:54 +03:00
allegroai
30c8be79b5 Fix requirements 2019-07-08 23:58:54 +03:00
allegroai
7c47946645 Documentation 2019-07-08 23:58:09 +03:00
allegroai
5684a7877c improve login screen, and docker builds 2019-06-27 23:42:18 +03:00
allegroai
1568549fcc typo 2019-06-23 18:43:08 +03:00
Allegro AI
62533792b5 Merge pull request #1 from doliveralg/master
README update
2019-06-18 17:21:42 +03:00
Allegro AI
e9d4141460 Merge pull request #2 from evg-allegro/master
Fixes to the requirements files
2019-06-18 17:21:02 +03:00
allegroai
8986f75356 Documentation 2019-06-18 16:37:58 +03:00
allegroai
1e40fc7922 Add Pre-Installed AWS AMI links 2019-06-18 16:32:19 +03:00
Evgeny
eeab15e78c Fixed automated unit tests for api server 2019-06-18 16:17:43 +03:00
Evgeny
57714203b4 Fixed possible crash on getting events from the empty ES db 2019-06-18 16:17:14 +03:00
Evgeny
c14d201300 Merge branch 'master' of https://github.com/allegroai/trains-server 2019-06-18 15:29:46 +03:00
allegroai
c70cbe04c1 Documentation 2019-06-17 00:55:05 +03:00
allegroai
c8f2b2b319 Removed comments 2019-06-16 22:41:49 +03:00
allegroai
4af3c65e5d Add "Not supported on mobile devices" warning 2019-06-14 02:20:33 +03:00
allegroai
022fa7ba19 Documentation 2019-06-14 02:17:46 +03:00
allegroai
4f8cb35f9a Documentation 2019-06-14 02:14:14 +03:00
Evgeny
d84b3688ca Fixes to the requirements files 2019-06-13 14:02:41 +03:00
Gully
b4a20ef414 Added available ports note in the "Launching docker containers" readme section. 2019-06-13 12:46:56 +03:00
allegroai
c461471942 Documentation 2019-06-13 01:27:36 +03:00
allegroai
351ddb73e7 Add "Not supported on mobile devices" warning 2019-06-12 22:55:10 +03:00
allegroai
02257fa18f Documentation 2019-06-12 22:53:50 +03:00
allegroai
8ef26e49f7 Documentation 2019-06-12 02:48:34 +03:00
allegroai
0c930f75a1 Documentation 2019-06-12 01:19:38 +03:00
allegroai
1c419ebf50 Documentation 2019-06-11 20:09:23 +03:00
39 changed files with 2668 additions and 265 deletions

312
README.md
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@@ -1,168 +1,150 @@
# TRAINS Server
## Magic Version Control & Experiment Manager for AI
## Auto-Magical Experiment Manager & Version Control for AI
[![GitHub license](https://img.shields.io/badge/license-SSPL-green.svg)](https://img.shields.io/badge/license-SSPL-green.svg)
[![Python versions](https://img.shields.io/badge/python-3.6%20%7C%203.7-blue.svg)](https://img.shields.io/badge/python-3.6%20%7C%203.7-blue.svg)
[![GitHub version](https://img.shields.io/github/release-pre/allegroai/trains-server.svg)](https://img.shields.io/github/release-pre/allegroai/trains-server.svg)
[![PyPI status](https://img.shields.io/badge/status-beta-yellow.svg)](https://img.shields.io/badge/status-beta-yellow.svg)
## Introduction
The **trains-server** is the infrastructure for [trains](https://github.com/allegroai/trains).
It allows multiple users to collaborate and manage their experiments.
The **trains-server** contains the following components:
The **trains-server** is the backend service infrastructure for [TRAINS](https://github.com/allegroai/trains).
It allows multiple users to collaborate and manage their experiments.
By default, TRAINS is set up to work with the TRAINS demo server, which is open to anyone and resets periodically.
In order to host your own server, you will need to install **trains-server** and point TRAINS to it.
* the Web-App which is a single-page UI for experiment management and browsing
* a REST interface for:
* documenting and logging experiment information, statistics and results
* querying experiments history, logs and results
* a locally-hosted file server for storing images and models making them easily accessible using the Web-App
**trains-server** contains the following components:
* The TRAINS Web-App, a single-page UI for experiment management and browsing
* RESTful API for:
* Documenting and logging experiment information, statistics and results
* Querying experiments history, logs and results
* Locally-hosted file server for storing images and models making them easily accessible using the Web-App
You can quickly setup your **trains-server** using a pre-built Docker image (see [Installation](#installation)).
When new releases are available, you can upgrade your pre-built Docker image (see [Upgrade](#upgrade)).
The **trains-server's** code is freely available [here](https://github.com/allegroai/trains-server).
When new releases are available, you can upgrade your pre-built Docker image (see [Upgrade](#upgrade)).
## System diagram
<pre>
TRAINS-server
+--------------------------------------------------------------------+
| |
| Server Docker Elastic Docker Mongo Docker |
| +-------------------------+ +---------------+ +------------+ |
| | Pythonic Server | | | | | |
| | +-----------------+ | | ElasticSearch | | MongoDB | |
| | | WEB server | | | | | | |
| | | Port 8080 | | | | | | |
| | +--------+--------+ | | | | | |
| | | | | | | | |
| | +--------+--------+ | | | | | |
| | | API server +----------------------------+ | |
| | | Port 8008 +---------+ | | | |
| | +-----------------+ | +-------+-------+ +-----+------+ |
| | | | | |
| | +-----------------+ | +---+----------------+------+ |
| | | File Server +-------+ | Host Storage | |
| | | Port 8081 | | +-----+ | |
| | +-----------------+ | +---------------------------+ |
| +------------+------------+ |
+---------------|----------------------------------------------------+
|HTTP
+--------+
GPU Machine |
+------------------------|-------------------------------------------+
| +------------------|--------------+ |
| | Training | | +---------------------+ |
| | Code +---+------------+ | | trains configuration| |
| | | TRAINS | | | ~/trains.conf | |
| | | +------+ | |
| | +----------------+ | +---------------------+ |
| +---------------------------------+ |
+--------------------------------------------------------------------+
</pre>
## Installation
![Alt Text](https://github.com/allegroai/trains/blob/master/docs/system_diagram.png?raw=true)
## Install / Upgrade - AWS
Use our pre-installed Amazon Machine Image for easy deployment in AWS.
Details and instructions can be found [here](docs/install_aws.md).
## Installation - Docker
This section contains the instructions to setup and launch a pre-built Docker image for the **trains-server**.
This is the quickest way to get started with your own server.
Alternatively, you can build the entire trains-server architecture using the code available in our repositories.
**Note**: This Docker image was tested with Linux, only. For Windows users, we recommend running the server
**Please Note**:
* This Docker image was tested with Linux, only. For Windows users, we recommend running the server
on a Linux virtual machine.
* All command-line instructions below assume you're using `bash`.
### Prerequisites
You must be logged in as a user with sudo privileges.
Make sure you are logged in as a user with sudo privileges.
### Setup
#### Step 1. Install Docker CE
#### Step 1: Install Docker CE
You must install Docker to run the pre-packaged **trains-server**.
In order to run the pre-packaged **trains-server**, install Docker.
* For [Ubuntu](https://docs.docker.com/install/linux/docker-ce/ubuntu/) / Mint (x86_64/amd64):
* See [Supported platforms](https://docs.docker.com/install//#support) in the Docker documentation for instructions
```bash
sudo apt-get install -y apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
. /etc/os-release
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $UBUNTU_CODENAME stable"
sudo apt-get update
sudo apt-get install -y docker-ce
```
* For example, to install in [Ubuntu](https://docs.docker.com/install/linux/docker-ce/ubuntu/) / Mint (x86_64/amd64):
* For other operating systems, see [Supported platforms](https://docs.docker.com/install//#support) in the Docker documentation for instructions.
```bash
sudo apt-get install -y apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
. /etc/os-release
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $UBUNTU_CODENAME stable"
sudo apt-get update
sudo apt-get install -y docker-ce
```
#### Step 2. Setup the Docker daemon
#### Step 2: Setup the Docker daemon
To run the ElasticSearch Docker container, you must setup the Docker daemon by modifing the default
values required by Elastic in your Docker configuration file
that are used by the **trains-server**. We provide instructions for the most common Docker configuration files.
To run the ElasticSearch Docker container, setup the Docker daemon by modifying the default
values required by Elastic in your Docker configuration file (see [Notes for production use and defaults](https://www.elastic.co/guide/en/elasticsearch/reference/master/docker.html#_notes_for_production_use_and_defaults)). We provide instructions for the most common Docker configuration files.
You must edit or create a Docker configuration file:
Edit or create the Docker configuration file:
* If your Docker configuration file is `/etc/sysconfig/docker`, edit it.
* If your system contains a `/etc/sysconfig/docker` Docker configuration file, edit it.
Add the options in quotes to the available arguments in the `OPTIONS` section:
```bash
OPTIONS="--default-ulimit nofile=1024:65536 --default-ulimit memlock=-1:-1"
```
```bash
OPTIONS="--default-ulimit nofile=1024:65536 --default-ulimit memlock=-1:-1"
```
* Otherwise, edit `/etc/docker/daemon.json` (if it exists) or create it (if it does not exist).
Add or modify the `defaults-ulimits` section as shown below. Be sure your configuration file contains the `nofile` and `memlock` sub-sections and values shown.
Add or modify the `defaults-ulimits` section as shown below. Be sure the `defaults-ulimits` section contains the `nofile` and `memlock` sub-sections and values shown.
**Note**: Your configuration file may contain other sections. If so, confirm that the sections are separated by commas. For more information about Docker configuration files, see an [Daemon configuration file](https://docs.docker.com/engine/reference/commandline/dockerd/#daemon-configuration-file) in the Docker documentation.
**Note**: Your configuration file may contain other sections. If so, confirm that the sections are separated by commas (valid JSON format). For more information about Docker configuration files, see [Daemon configuration file](https://docs.docker.com/engine/reference/commandline/dockerd/#daemon-configuration-file) in the Docker documentation.
The **trains-server** required defaults values are:
```json
{
"default-ulimits": {
"nofile": {
"name": "nofile",
"hard": 65536,
"soft": 1024
},
"memlock":
{
"name": "memlock",
"soft": -1,
"hard": -1
```json
{
"default-ulimits": {
"nofile": {
"name": "nofile",
"hard": 65536,
"soft": 1024
},
"memlock":
{
"name": "memlock",
"soft": -1,
"hard": -1
}
}
}
}
```
```
#### Step 3. Restart the Docker daemon
#### Step 3: Restart the Docker daemon
You must restart the Docker daemon after modifying the configuration file:
After modifying the configuration file, restart the Docker daemon:
```bash
sudo service docker stop
sudo service docker start
```
#### Step 4. Set the Maximum Number of Memory Map Areas
#### Step 4: Set the Maximum Number of Memory Map Areas
The maximum number of memory map areas a process can use is defined
using the `vm.max_map_count` kernel setting.
using the `vm.max_map_count` kernel setting.
Elastic requires that `vm.max_map_count` to be at least 262144.
Elastic requires that `vm.max_map_count` is at least 262144 (see [Production mode](https://www.elastic.co/guide/en/elasticsearch/reference/master/docker.html#docker-cli-run-prod-mode)).
* For CentOS 7, Ubuntu 16.04, Mint 18.3, Ubuntu 18.04 and Mint 19 users, we tested the following commands to set
`vm.max_map_count`:
```bash
sudo echo "vm.max_map_count=262144" > /tmp/99-trains.conf
sudo mv /tmp/99-trains.conf /etc/sysctl.d/99-trains.conf
sudo sysctl -w vm.max_map_count=262144
```
```bash
sudo echo "vm.max_map_count=262144" > /tmp/99-trains.conf
sudo mv /tmp/99-trains.conf /etc/sysctl.d/99-trains.conf
sudo sysctl -w vm.max_map_count=262144
```
* For information about setting this parameter on other systems, see the [elastic](https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html#docker-cli-run-prod-mode) documentation.
#### Step 5. Choose a Data Directory
#### Step 5: Choose a Data Directory
You must choose a directory on your system in which all data maintained by the **trains-server** is stored,
create that directory, and set its permissions. The data stored in that directory includes the database, uploaded files and logs.
Choose a directory on your system in which all data maintained by the **trains-server** is stored.
Create this directory, and set its owner and group to `uid` 1000. The data stored in this directory will include the database, uploaded files and logs.
For example, if your data directory is `/opt/trains`, then use the following command:
@@ -170,10 +152,62 @@ For example, if your data directory is `/opt/trains`, then use the following com
sudo mkdir -p /opt/trains/data/elastic && sudo chown -R 1000:1000 /opt/trains
```
### Configuration
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, the server should be restarted for changes to take effect.
<!---
#### Fixed users mode (basic users management)
In this mode, the server authenticates users based on a pre-configured users list.
Enable this feature by placing an `apiserver.conf` file under `/opt/trains/config`, containing for example:
fixed_users {
enabled: true
users: [
{
username: "jane"
password: "123456"
name: "Jane Doe"
},
{
username: "john"
password: "abcdef"
name: "John Doe"
}
]
}
-->
#### Non-responsive experiments watchdog
This watchdog monitors experiments that were not updated for a given period of time, and marks them as `stopped`. The watchdog is always active.
To change the watchdog's timeouts, place a `services.conf` file under `/opt/trains/config`, containing for example:
tasks {
non_responsive_tasks_watchdog {
# In-progress tasks that haven't been updated for at least 'value' seconds will be stopped by the watchdog
threshold_sec: 7200
# Watchdog will sleep for this number of seconds after each cycle
watch_interval_sec: 900
}
}
### Launching Docker Containers
Launch the Docker containers. For example, if your data directory is `\opt\trains`,
then use the following commands:
**Note**:
* If your data directory is not `/opt/trains`, please find and replace `/opt/trains` in the following commands with your data directory path
* Make sure ports `8008`, `8080` and `8081` are not in use before starting the docker containers, as the containers will fail to initialize if these ports are already taken. If the following commands shows no output, the ports are available:
```bash
sudo netstat -tplna | egrep "8008|8080|8081"
```
To launch the Docker containers, use the following commands:
```bash
sudo docker run -d --restart="always" --name="trains-elastic" -e "ES_JAVA_OPTS=-Xms2g -Xmx2g" -e "bootstrap.memory_lock=true" -e "cluster.name=trains" -e "discovery.zen.minimum_master_nodes=1" -e "node.name=trains" -e "script.inline=true" -e "script.update=true" -e "thread_pool.bulk.queue_size=2000" -e "thread_pool.search.queue_size=10000" -e "xpack.security.enabled=false" -e "xpack.monitoring.enabled=false" -e "cluster.routing.allocation.node_initial_primaries_recoveries=500" -e "node.ingest=true" -e "http.compression_level=7" -e "reindex.remote.whitelist=*.*" -e "script.painless.regex.enabled=true" --network="host" -v /opt/trains/data/elastic:/usr/share/elasticsearch/data docker.elastic.co/elasticsearch/elasticsearch:5.6.16
@@ -188,7 +222,7 @@ sudo docker run -d --restart="always" --name="trains-fileserver" --network="host
```
```bash
sudo docker run -d --restart="always" --name="trains-apiserver" --network="host" -v /opt/trains/logs:/var/log/trains allegroai/trains:latest apiserver
sudo docker run -d --restart="always" --name="trains-apiserver" --network="host" -v /opt/trains/logs:/var/log/trains -v /opt/trains/config:/opt/trains/config allegroai/trains:latest apiserver
```
```bash
@@ -201,6 +235,24 @@ After the **trains-server** Dockers are up, the following are available:
* Web server on port `8080`
* File server on port `8081`
### Configuring **trains**
Once you have installed the **trains-server**, make sure to configure **trains** to use your locally installed server (and not the demo server).
If you have already installed **trains**, run the `trains-init` command for an interactive setup or edit your `trains.conf` file and make sure the `api.host` value is configured as follows:
api {
host: "http://localhost:8008"
}
See [Installing and Configuring TRAINS](https://github.com/allegroai/trains#installing-and-configuring-trains) for more details.
## What next?
Now that the **trains-server** is installed, and TRAINS is configured to use it,
you can [use](https://github.com/allegroai/trains#using-trains) TRAINS in your experiments and view them in the web server,
for example http://localhost:8080
## Upgrade
We are constantly updating, improving and adding to the **trains-server**.
@@ -211,36 +263,46 @@ When we release a new version and include a new pre-built Docker image for it, u
sudo docker stop <docker-name>
sudo docker rm -v <docker-name>
The Docker names are (see [Launching Docker images](##launching-docker-images)):
* `trains-elastic`
* `trains-mongo`
* `trains-fileserver`
* `trains-apiserver`
* `trains-webserver`
2. We highly recommend backing up your data directory!. A simple way to do that is using `tar`:
The Docker names are (see [Launching Docker Containers](#launching-docker-containers)):
* `trains-elastic`
* `trains-mongo`
* `trains-fileserver`
* `trains-apiserver`
* `trains-webserver`
2. Pull the new **trains-server** docker image using the following command:
sudo docker pull allegroai/trains:latest
If you wish to pull a different version, replace `latest` with the required version number, for example:
sudo docker pull allegroai/trains:0.10.0
3. We highly recommend backing up your data directory!. A simple way to do that is using `tar`:
For example, if your data directory is `/opt/trains`, use the following command:
sudo tar czvf ~/trains_backup.tgz /opt/trains/data
This back ups all data to an archive in your home directory.
This back ups all data to an archive in your home directory.
To restore this example backup, use the following command:
sudo rm -R /opt/trains/data
sudo tar -xzf ~/trains_backup.tgz -C /opt/trains/data
3. Launch the newly released Docker image (see [Launching Docker images](#Launching-docker-images)).
4. Launch the newly released Docker image (see [Launching Docker Containers](#launching-docker-containers)).
## License
[Server Side Public License v1.0](https://github.com/mongodb/mongo/blob/master/LICENSE-Community.txt)
**trains-server** relies *heavily* on both [MongoDB](https://github.com/mongodb/mongo) and [ElasticSearch](https://github.com/elastic/elasticsearch).
With the recent changes in both MongoDB's and ElasticSearch's OSS license, we feel it is our job as a community to support the projects we love and cherish.
We feel the cause for the license change in both cases is more than just, and chose [SSPL](https://www.mongodb.com/licensing/server-side-public-license) because it is the more general and flexible of the two.
**trains-server** relies on both [MongoDB](https://github.com/mongodb/mongo) and [ElasticSearch](https://github.com/elastic/elasticsearch).
With the recent changes in both MongoDB's and ElasticSearch's OSS license, we feel it is our responsibility as a
member of the community to support the projects we love and cherish.
We believe the cause for the license change in both cases is more than just,
and chose [SSPL](https://www.mongodb.com/licensing/server-side-public-license) because it is the more general and flexible of the two licenses.
This is our way to say - we support you guys!

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docker-compose.yml Normal file
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@@ -0,0 +1,76 @@
version: "3.6"
services:
apiserver:
command:
- apiserver
container_name: trains-apiserver
image: allegroai/trains:latest
network_mode: host
restart: always
volumes:
- type: bind
source: /opt/trains/logs
target: /var/log/trains
elasticsearch:
container_name: trains-elastic
environment:
ES_JAVA_OPTS: -Xms2g -Xmx2g
bootstrap.memory_lock: "true"
cluster.name: trains
cluster.routing.allocation.node_initial_primaries_recoveries: "500"
discovery.zen.minimum_master_nodes: "1"
http.compression_level: "7"
node.ingest: "true"
node.name: trains
reindex.remote.whitelist: '*.*'
script.inline: "true"
script.painless.regex.enabled: "true"
script.update: "true"
thread_pool.bulk.queue_size: "2000"
thread_pool.search.queue_size: "10000"
xpack.monitoring.enabled: "false"
xpack.security.enabled: "false"
image: docker.elastic.co/elasticsearch/elasticsearch:5.6.16
network_mode: host
restart: always
volumes:
- type: bind
source: /opt/trains/data/elastic
target: /usr/share/elasticsearch/data
fileserver:
command:
- fileserver
container_name: trains-fileserver
image: allegroai/trains:latest
network_mode: host
restart: always
volumes:
- type: bind
source: /opt/trains/logs
target: /var/log/trains
- type: bind
source: /opt/trains/data/fileserver
target: /mnt/fileserver
mongo:
container_name: trains-mongo
image: mongo:3.6.5
network_mode: host
restart: always
volumes:
- type: bind
source: /opt/trains/data/mongo/db
target: /data/db
- type: bind
source: /opt/trains/data/mongo/configdb
target: /data/configdb
webserver:
command:
- webserver
container_name: trains-webserver
image: allegroai/trains:latest
network_mode: host
restart: always
volumes:
- type: bind
source: /opt/trains/logs
target: /var/log/trains

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docs/install_aws.md Normal file
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@@ -0,0 +1,64 @@
# **TRAINS-server**: AWS pre-installed images
In order to easily deploy **trains-server** on AWS, we created the following Amazon Machine Images (AMIs).
Service port numbers on these AMIs are:
- Web: 8080
- API: 8008
- File Server: 8081
Persistent storage configuration:
- MongoDB: /opt/trains/data/mongo/
- ElasticSearch: /opt/trains/data/elastic/
- File Server: /mnt/fileserver/
Instructions on launching a custom AMI from the EC2 console can be found [here](https://aws.amazon.com/premiumsupport/knowledge-center/launch-instance-custom-ami/)
and a detailed version [here](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/launching-instance.html).
The minimum recommended instance type is **t3a.large**
## Upgrading
In order to upgrade **trains-server** on an existing EC2 instance based on one of these AMIs, SSH into the instance and follow the [upgrade instructions](../README.md#upgrade) for **trains-server**.
## Released versions
The following sections provide a list containing AMI Image ID per region for each released **trains-server** version.
### v0.10.0
* **eu-north-1** : ami-05ba33c763877e54e
* **ap-south-1** : ami-0529eec569161cae5
* **eu-west-3** : ami-03cb9396f63e26ff6
* **eu-west-2** : ami-0dd28cc97283cc201
* **eu-west-1** : ami-059cf379ae14b0a24
* **ap-northeast-2** : ami-031409d71f1280616
* **ap-northeast-1** : ami-0171437c68b3660aa
* **sa-east-1** : ami-0eb440a3b6e591c7a
* **ca-central-1** : ami-097da9ec155ee654a
* **ap-southeast-1** : ami-0ab7ff3ea09826e39
* **ap-southeast-2** : ami-00969c550ef2d1f60
* **eu-central-1** : ami-02246400c51990acb
* **us-east-2** : ami-0cafc1d730381d6fa
* **eu-central-1** : ami-02246400c51990acb
* **us-west-1** : ami-0e82a98ddbe995a65
* **us-west-2** : ami-04a522ecb2250fb44
* **us-east-1** : ami-0a66ddbd50959f91e
### v0.9.0
* **us-east-1** : ami-0991ad536ecbacdac
* **eu-north-1** : ami-07cbcdff501b14afe
* **ap-south-1** : ami-014cf398b00d4db83
* **eu-west-3** : ami-0396ba51e9b733581
* **eu-west-2** : ami-09134f4c7a20bad09
* **eu-west-1** : ami-00427ed0a1bbfa7b0
* **ap-northeast-2** : ami-041756675ca1be954
* **ap-northeast-1** : ami-0c09ebad05c9128ff
* **sa-east-1** : ami-017a8de4e8d1e8c8e
* **ca-central-1** : ami-049ec444470f852be
* **ap-southeast-1** : ami-0c919b8f821a6c635
* **ap-southeast-2** : ami-04844a0594712d27b
* **eu-central-1** : ami-0b4e756e0f7c0617d
* **us-east-2** : ami-03b01914b07428488
* **us-west-1** : ami-0cf4768e9d47ed076
* **us-west-2** : ami-0b145f37da31eb9fb

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Server Side Public License
VERSION 1, OCTOBER 16, 2018
Copyright © 2018 MongoDB, Inc.
Everyone is permitted to copy and distribute verbatim copies of this
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TERMS AND CONDITIONS
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Nothing in this License shall be construed as excluding or limiting any
implied license or other defenses to infringement that may otherwise be
available to you under applicable patent law.
12. No Surrender of Others' Freedom.
If conditions are imposed on you (whether by court order, agreement or
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example, if you agree to terms that obligate you to collect a royalty for
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13. Offering the Program as a Service.
If you make the functionality of the Program or a modified version
available to third parties as a service, you must make the Service Source
Code available via network download to everyone at no charge, under the
terms of this License. Making the functionality of the Program or
modified version available to third parties as a service includes,
without limitation, enabling third parties to interact with the
functionality of the Program or modified version remotely through a
computer network, offering a service the value of which entirely or
primarily derives from the value of the Program or modified version, or
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“Service Source Code” means the Corresponding Source for the Program or
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you use to make the Program or modified version available as a service,
including, without limitation, management software, user interfaces,
application program interfaces, automation software, monitoring software,
backup software, storage software and hosting software, all such that a
user could run an instance of the service using the Service Source Code
you make available.
14. Revised Versions of this License.
MongoDB, Inc. may publish revised and/or new versions of the Server Side
Public License from time to time. Such new versions will be similar in
spirit to the present version, but may differ in detail to address new
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Each version is given a distinguishing version number. If the Program
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any later version published by MongoDB, Inc. If the Program does not
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If the Program specifies that a proxy can decide which future versions of
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Later license versions may give you additional or different permissions.
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holder as a result of your choosing to follow a later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM “AS IS” WITHOUT WARRANTY
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IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING
ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF
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LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU
OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER
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POSSIBILITY OF SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided above
cannot be given local legal effect according to their terms, reviewing
courts shall apply local law that most closely approximates an absolute
waiver of all civil liability in connection with the Program, unless a
warranty or assumption of liability accompanies a copy of the Program in
return for a fee.
END OF TERMS AND CONDITIONS

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Flask
Flask
pyhocon>=0.3.35

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Server Side Public License
VERSION 1, OCTOBER 16, 2018
Copyright © 2018 MongoDB, Inc.
Everyone is permitted to copy and distribute verbatim copies of this
license document, but changing it is not allowed.
TERMS AND CONDITIONS
0. Definitions.
“This License” refers to Server Side Public License.
“Copyright” also means copyright-like laws that apply to other kinds of
works, such as semiconductor masks.
“The Program” refers to any copyrightable work licensed under this
License. Each licensee is addressed as “you”. “Licensees” and
“recipients” may be individuals or organizations.
To “modify” a work means to copy from or adapt all or part of the work in
a fashion requiring copyright permission, other than the making of an
exact copy. The resulting work is called a “modified version” of the
earlier work or a work “based on” the earlier work.
A “covered work” means either the unmodified Program or a work based on
the Program.
To “propagate” a work means to do anything with it that, without
permission, would make you directly or secondarily liable for
infringement under applicable copyright law, except executing it on a
computer or modifying a private copy. Propagation includes copying,
distribution (with or without modification), making available to the
public, and in some countries other activities as well.
To “convey” a work means any kind of propagation that enables other
parties to make or receive copies. Mere interaction with a user through a
computer network, with no transfer of a copy, is not conveying.
An interactive user interface displays “Appropriate Legal Notices” to the
extent that it includes a convenient and prominently visible feature that
(1) displays an appropriate copyright notice, and (2) tells the user that
there is no warranty for the work (except to the extent that warranties
are provided), that licensees may convey the work under this License, and
how to view a copy of this License. If the interface presents a list of
user commands or options, such as a menu, a prominent item in the list
meets this criterion.
1. Source Code.
The “source code” for a work means the preferred form of the work for
making modifications to it. “Object code” means any non-source form of a
work.
A “Standard Interface” means an interface that either is an official
standard defined by a recognized standards body, or, in the case of
interfaces specified for a particular programming language, one that is
widely used among developers working in that language. The “System
Libraries” of an executable work include anything, other than the work as
a whole, that (a) is included in the normal form of packaging a Major
Component, but which is not part of that Major Component, and (b) serves
only to enable use of the work with that Major Component, or to implement
a Standard Interface for which an implementation is available to the
public in source code form. A “Major Component”, in this context, means a
major essential component (kernel, window system, and so on) of the
specific operating system (if any) on which the executable work runs, or
a compiler used to produce the work, or an object code interpreter used
to run it.
The “Corresponding Source” for a work in object code form means all the
source code needed to generate, install, and (for an executable work) run
the object code and to modify the work, including scripts to control
those activities. However, it does not include the work's System
Libraries, or general-purpose tools or generally available free programs
which are used unmodified in performing those activities but which are
not part of the work. For example, Corresponding Source includes
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END OF TERMS AND CONDITIONS

View File

@@ -55,3 +55,7 @@ class TaskData(models.Base):
class CreateRequest(TaskData):
name = StringField(required=True)
type = StringField(required=True, validators=Enum(*get_options(TaskType)))
class PingRequest(models.Base):
task = StringField(required=True)

View File

@@ -2,24 +2,16 @@ from datetime import datetime
import database
from apierrors import errors
from apimodels.auth import (
GetTokenResponse,
CreateUserRequest,
Credentials as CredModel,
)
from apimodels.auth import GetTokenResponse, CreateUserRequest, Credentials as CredModel
from apimodels.users import CreateRequest as Users_CreateRequest
from bll.user import UserBLL
from config import config
from config.info import get_version, get_build_number
from database.errors import translate_errors_context
from database.model.auth import User, Role, Credentials
from database.model.company import Company
from service_repo import APICall
from service_repo.auth import (
Identity,
Token,
get_client_id,
get_secret_key,
)
from service_repo import APICall, ServiceRepo
from service_repo.auth import Identity, Token, get_client_id, get_secret_key
log = config.logger("AuthBLL")
@@ -62,6 +54,9 @@ class AuthBLL:
identity=identity,
entities=entities,
expiration_sec=expiration_sec,
api_version=str(ServiceRepo.max_endpoint_version()),
server_version=str(get_version()),
server_build=str(get_build_number()),
)
return GetTokenResponse(token=token.decode("ascii"))

View File

@@ -1,6 +1,7 @@
import re
from collections import OrderedDict
from datetime import datetime
from datetime import datetime, timedelta
from time import sleep
from typing import Mapping, Collection
from urllib.parse import urlparse
@@ -10,6 +11,7 @@ from six import string_types
import es_factory
from apierrors import errors
from config import config
from database.errors import translate_errors_context
from database.fields import OutputDestinationField
from database.model.model import Model
@@ -20,10 +22,13 @@ from database.model.task.task import Task, TaskStatus, TaskStatusMessage, TaskTa
from database.utils import get_company_or_none_constraint, id as create_id
from service_repo import APICall
from timing_context import TimingContext
from utilities.threads_manager import ThreadsManager
from .utils import ChangeStatusRequest, validate_status_change
class TaskBLL(object):
threads = ThreadsManager()
def __init__(self, events_es=None):
self.events_es = (
events_es if events_es is not None else es_factory.connect("events")
@@ -391,3 +396,55 @@ class TaskBLL(object):
status_message=status_message,
force=force,
).execute()
@classmethod
@threads.register("non_responsive_tasks_watchdog", daemon=True)
def start_non_responsive_tasks_watchdog(cls):
log = config.logger("non_responsive_tasks_watchdog")
relevant_status = (TaskStatus.in_progress,)
threshold = timedelta(
seconds=config.get(
"services.tasks.non_responsive_tasks_watchdog.threshold_sec", 7200
)
)
while True:
sleep(
config.get(
"services.tasks.non_responsive_tasks_watchdog.watch_interval_sec",
900,
)
)
try:
ref_time = datetime.utcnow() - threshold
log.info(
f"Starting cleanup cycle for running tasks last updated before {ref_time}"
)
tasks = list(
Task.objects(
status__in=relevant_status, last_update__lt=ref_time
).only("id", "name", "status", "project", "last_update")
)
if tasks:
log.info(f"Stopping {len(tasks)} non-responsive tasks")
for task in tasks:
log.info(
f"Stopping {task.id} ({task.name}), last updated at {task.last_update}"
)
ChangeStatusRequest(
task=task,
new_status=TaskStatus.stopped,
status_reason="Forced stop (non-responsive)",
status_message="Forced stop (non-responsive)",
force=True,
).execute()
log.info(f"Done")
except Exception as ex:
log.exception(f"Failed stopping tasks: {str(ex)}")

View File

@@ -96,7 +96,12 @@ def validate_status_change(current_status, new_status):
state_machine = {
TaskStatus.created: {TaskStatus.in_progress},
TaskStatus.in_progress: {TaskStatus.stopped, TaskStatus.failed, TaskStatus.created},
TaskStatus.in_progress: {
TaskStatus.stopped,
TaskStatus.failed,
TaskStatus.created,
TaskStatus.completed,
},
TaskStatus.stopped: {
TaskStatus.closed,
TaskStatus.created,
@@ -104,6 +109,7 @@ state_machine = {
TaskStatus.in_progress,
TaskStatus.published,
TaskStatus.publishing,
TaskStatus.completed,
},
TaskStatus.closed: {
TaskStatus.created,
@@ -115,6 +121,11 @@ state_machine = {
TaskStatus.failed: {TaskStatus.created, TaskStatus.stopped, TaskStatus.published},
TaskStatus.publishing: {TaskStatus.published},
TaskStatus.published: set(),
TaskStatus.completed: {
TaskStatus.published,
TaskStatus.in_progress,
TaskStatus.created,
}
}

View File

@@ -1,4 +1,7 @@
import logging
from functools import reduce
from os import getenv
from os.path import expandvars
from pathlib import Path
from pyhocon import ConfigTree, ConfigFactory
@@ -9,6 +12,10 @@ from pyparsing import (
ParseSyntaxException,
)
DEFAULT_EXTRA_CONFIG_PATH = "/opt/trains/config"
EXTRA_CONFIG_PATH_ENV_KEY = "TRAINS_CONFIG_DIR"
EXTRA_CONFIG_PATH_SEP = ":"
class BasicConfig:
NotSet = object()
@@ -39,8 +46,32 @@ class BasicConfig:
path = ".".join((self.prefix, Path(name).stem))
return logging.getLogger(path)
def _read_env_paths(self, key):
value = getenv(EXTRA_CONFIG_PATH_ENV_KEY, DEFAULT_EXTRA_CONFIG_PATH)
if value is None:
return
paths = [
Path(expandvars(v)).expanduser() for v in value.split(EXTRA_CONFIG_PATH_SEP)
]
invalid = [
path
for path in paths
if not path.is_dir() and str(path) != DEFAULT_EXTRA_CONFIG_PATH
]
if invalid:
print(f"WARNING: Invalid paths in {key} env var: {' '.join(invalid)}")
return [path for path in paths if path.is_dir()]
def _load(self, verbose=True):
self._config = self._read_recursive(self.folder, verbose=verbose)
extra_config_paths = self._read_env_paths(EXTRA_CONFIG_PATH_ENV_KEY) or []
self._config = reduce(
lambda config, path: ConfigTree.merge_configs(
config, self._read_recursive(path, verbose=verbose), copy_trees=True
),
[self.folder] + extra_config_paths,
ConfigTree(),
)
def _read_recursive(self, conf_root, verbose=True):
conf = ConfigTree()

View File

@@ -41,6 +41,27 @@
# cookie containing auth token, for requests arriving from a web-browser
session_auth_cookie_name: "trains_token_basic"
# cookie configuration for authorization cookies generated by auth.login
cookies {
httponly: true # allow only http to access the cookies (no JS etc)
secure: false # not using HTTPS
domain: null # Limit to localhost is not supported
max_age: 99999999999
}
# # A list of fixed users
# fixed_users {
# enabled: true
# users: [
# {
# username: "john"
# password: "123456"
# name: "john doe"
# }
#
# ]
# }
}
cors {

View File

@@ -0,0 +1,7 @@
non_responsive_tasks_watchdog {
# In-progress tasks older than this value in seconds will be stopped by the watchdog
threshold_sec: 7200
# Watchdog will sleep for this number of seconds after each cycle
watch_interval_sec: 900
}

20
server/config/info.py Normal file
View File

@@ -0,0 +1,20 @@
from functools import lru_cache
from pathlib import Path
root = Path(__file__).parent.parent
@lru_cache()
def get_build_number():
try:
return (root / "BUILD").read_text().strip()
except FileNotFoundError:
return ""
@lru_cache()
def get_version():
try:
return (root / "VERSION").read_text().strip()
except FileNotFoundError:
return ""

View File

@@ -29,6 +29,7 @@ class TaskStatus(object):
published = 'published'
closed = 'closed'
failed = 'failed'
completed = 'completed'
unknown = 'unknown'
@@ -49,6 +50,7 @@ class Script(EmbeddedDocument):
entry_point = StringField(required=True)
working_dir = StringField()
requirements = SafeDictField()
diff = StringField()
class Execution(EmbeddedDocument):

View File

@@ -1,11 +1,14 @@
from datetime import datetime
import attr
from furl import furl
from database.model.auth import User, Credentials
from database.model.user import User
from database.model.auth import User as AuthUser, Credentials
from config import config
from database.model.auth import Role
from database.model.company import Company
from elastic.apply_mappings import apply_mappings_to_host
from service_repo.auth.fixed_user import FixedUser
log = config.logger(__file__)
@@ -44,22 +47,28 @@ def _ensure_company():
return company_id
def _ensure_user(user_data, company_id):
user = User.objects(
credentials__match=Credentials(key=user_data["key"], secret=user_data["secret"])
).first()
if user:
return user.id
def _ensure_auth_user(user_data, company_id):
ensure_credentials = {"key", "secret"}.issubset(user_data.keys())
if ensure_credentials:
user = AuthUser.objects(
credentials__match=Credentials(
key=user_data["key"], secret=user_data["secret"]
)
).first()
if user:
return user.id
log.info(f"Creating user: {user_data['name']}")
user = User(
id=f"__{user_data['name']}__",
user = AuthUser(
id=user_data.get("id", f"__{user_data['name']}__"),
name=user_data["name"],
company=company_id,
role=user_data["role"],
email=user_data["email"],
created=datetime.utcnow(),
credentials=[Credentials(key=user_data["key"], secret=user_data["secret"])],
credentials=[Credentials(key=user_data["key"], secret=user_data["secret"])]
if ensure_credentials
else None,
)
user.save()
@@ -67,16 +76,48 @@ def _ensure_user(user_data, company_id):
return user.id
def init_mongo_data():
company_id = _ensure_company()
users = [
{"name": "apiserver", "role": Role.system, "email": "apiserver@example.com"},
{"name": "webserver", "role": Role.system, "email": "webserver@example.com"},
{"name": "tests", "role": Role.user, "email": "tests@example.com"},
]
def _ensure_user(user: FixedUser, company_id: str):
if User.objects(id=user.user_id).first():
return
for user in users:
credentials = config.get(f"secure.credentials.{user['name']}")
user["key"] = credentials.user_key
user["secret"] = credentials.user_secret
_ensure_user(user, company_id)
data = attr.asdict(user)
data["id"] = user.user_id
data["email"] = f"{user.user_id}@example.com"
data["role"] = Role.user
_ensure_auth_user(
user_data=data,
company_id=company_id,
)
given_name, _, family_name = user.name.partition(" ")
User(
id=user.user_id,
company=company_id,
name=user.name,
given_name=given_name,
family_name=family_name,
).save()
def init_mongo_data():
try:
company_id = _ensure_company()
users = [
{"name": "apiserver", "role": Role.system, "email": "apiserver@example.com"},
{"name": "webserver", "role": Role.system, "email": "webserver@example.com"},
{"name": "tests", "role": Role.user, "email": "tests@example.com"},
]
for user in users:
credentials = config.get(f"secure.credentials.{user['name']}")
user["key"] = credentials.user_key
user["secret"] = credentials.user_secret
_ensure_auth_user(user, company_id)
if FixedUser.enabled():
for user in FixedUser.from_config():
_ensure_user(user, company_id)
except Exception as ex:
pass

View File

@@ -25,3 +25,4 @@ validators>=0.12.4
fastjsonschema>=2.8
boltons>=19.1.0
semantic_version>=2.6.0,<3
furl>=2.0.0

View File

@@ -317,4 +317,24 @@ edit_user {
}
}
}
}
fixed_users_mode {
authorize: false
"2.1" {
description: """ Return fixed users mode status"""
request {
type: object
additionalProperties: false
}
response {
type: object
properties {
enabled {
description: "Fixed users mode enabled"
type: boolean
}
}
}
}
}

View File

@@ -69,13 +69,17 @@ _definitions {
type: string
}
working_dir {
description: "Path to the folder from which to run the script Default - root folder of repository[f]"
description: "Path to the folder from which to run the script Default - root folder of repository"
type: string
}
requirements {
description: "A JSON object containing requirements strings by key"
type: object
}
diff {
description: "Uncommitted changes found in the repository when task was run"
type: string
}
}
}
output {
@@ -137,7 +141,7 @@ _definitions {
description: """Json object representing the ids of the labels in the model.
The keys are the layers' names and the values are the IDs.
Not applicable for Register (Import) tasks.
Mandatory for Training tasks[z]"""
Mandatory for Training tasks"""
type: object
additionalProperties: { type: integer }
}
@@ -157,6 +161,7 @@ _definitions {
publishing
closed
failed
completed
unknown
]
}
@@ -1009,6 +1014,7 @@ publish {
}
}
}
set_requirements {
"2.1" {
description: """Set the script requirements for a task"""
@@ -1046,3 +1052,55 @@ set_requirements {
}
}
}
completed {
"2.2" {
description: "Signal a task has completed"
request = {
type: object
required: [
task
]
properties.force = ${_references.force_arg} {
description: "If not true, call fails if the task status is not created/in_progress/published"
}
} ${_references.status_change_request}
response {
type: object
properties {
updated {
description: "Number of tasks updated (0 or 1)"
type: integer
enum: [ 0, 1 ]
}
fields {
description: "Updated fields names and values"
type: object
additionalProperties: true
}
}
}
}
}
ping {
"2.1" {
description: """ Refresh the task's last update time"""
request {
type: object
required: [
task
]
properties {
task {
description: "Task ID"
type: string
}
}
}
response {
type: object
additionalProperties: false
}
}
}

View File

@@ -50,15 +50,22 @@ def before_request():
try:
call = create_api_call(request)
content, content_type = ServiceRepo.handle_call(call)
headers = None
headers = {}
if call.result.filename:
headers = {
"Content-Disposition": f"attachment; filename={call.result.filename}"
}
headers["Content-Disposition"] = f"attachment; filename={call.result.filename}"
return Response(
if call.result.headers:
headers.update(call.result.headers)
response = Response(
content, mimetype=content_type, status=call.result.code, headers=headers
)
if call.result.cookies:
for key, value in call.result.cookies.items():
response.set_cookie(key, value, **config.get("apiserver.auth.cookies"))
return response
except Exception as ex:
log.exception(f"Failed processing request {request.url}: {ex}")
return f"Failed processing request {request.url}", 500

View File

@@ -171,6 +171,8 @@ class APICallResult(DataContainer):
self._traceback = traceback
self._extra = None
self._filename = None
self._headers = {}
self._cookies = {}
def get_log_entry(self):
res = dict(
@@ -240,6 +242,14 @@ class APICallResult(DataContainer):
def filename(self, value):
self._filename = value
@property
def headers(self):
return self._headers
@property
def cookies(self):
return self._cookies
class MissingIdentity(Exception):
pass

View File

@@ -1,5 +1,6 @@
import base64
import jwt
from mongoengine import Q
from database.errors import translate_errors_context
from database.model.company import Company
@@ -11,6 +12,7 @@ from timing_context import TimingContext
from .payload import Payload, Token, Basic, AuthType
from .identity import Identity
from .fixed_user import FixedUser
log = config.logger(__file__)
@@ -54,8 +56,17 @@ def authorize_credentials(auth_data, service, action, call_data_items):
log.exception('malformed credentials')
raise errors.unauthorized.BadCredentials(str(e))
query = Q(credentials__match=Credentials(key=access_key, secret=secret_key))
if FixedUser.enabled():
fixed_user = FixedUser.get_by_username(access_key)
if fixed_user:
if secret_key != fixed_user.password:
raise errors.unauthorized.InvalidCredentials('bad username or password')
query = Q(id=fixed_user.user_id)
with TimingContext("mongo", "user_by_cred"), translate_errors_context('authorizing request'):
user = User.objects(credentials__match=Credentials(key=access_key, secret=secret_key)).first()
user = User.objects(query).first()
if not user:
raise errors.unauthorized.InvalidCredentials('failed to locate provided credentials')

View File

@@ -0,0 +1,38 @@
import hashlib
from functools import lru_cache
from typing import Sequence, TypeVar
import attr
from config import config
T = TypeVar("T", bound="FixedUser")
@attr.s(auto_attribs=True)
class FixedUser:
username: str
password: str
name: str
def __attrs_post_init__(self):
self.user_id = hashlib.md5(f"{self.username}:{self.password}".encode()).hexdigest()
@classmethod
def enabled(self):
return config.get("apiserver.auth.fixed_users.enabled", False)
@classmethod
@lru_cache()
def from_config(cls) -> Sequence[T]:
return [cls(**user) for user in config.get("apiserver.auth.fixed_users.users", [])]
@classmethod
@lru_cache()
def get_by_username(cls, username) -> T:
return next(
(user for user in cls.from_config() if user.username == username), None
)
def __hash__(self):
return hash(self.user_id)

View File

@@ -18,11 +18,10 @@ from apimodels.base import UpdateResponse
from bll.auth import AuthBLL
from config import config
from database.errors import translate_errors_context
from database.model.auth import (
User,
)
from database.model.auth import User
from service_repo import APICall, endpoint
from service_repo.auth import Token
from service_repo.auth.fixed_user import FixedUser
log = config.logger(__file__)
@@ -42,6 +41,11 @@ def login(call):
expiration_sec=call.data_model.expiration_sec,
)
# Add authorization cookie
call.result.cookies[
config.get("apiserver.auth.session_auth_cookie_name")
] = call.result.data_model.token
@endpoint(
"auth.get_token_for_user",
@@ -164,3 +168,8 @@ def update(call, company_id, _):
call.result.data_model = UpdateResponse(
updated=result.modified_count, fields=fields
)
@endpoint("auth.fixed_users_mode")
def fixed_users_mode(call: APICall, *_, **__):
call.result.data = dict(enabled=FixedUser.enabled())

View File

@@ -355,7 +355,6 @@ def get_task_plots_v1_7(call, company_id, req_model):
# last_iter_count=iters,
# scroll_id=scroll_id)
# the following is a hack for Bosch, requested by Moshik
# get last 10K events by iteration and group them by unique metric+variant, returning top events for combination
result = event_bll.get_task_events(
company_id, task_id,
@@ -414,7 +413,6 @@ def get_debug_images_v1_7(call, company_id, req_model):
# last_iter_count=iters,
# scroll_id=scroll_id)
# the following is a hack for Bosch, requested by Moshik
# get last 10K events by iteration and group them by unique metric+variant, returning top events for combination
result = event_bll.get_task_events(
company_id, task_id,

View File

@@ -23,23 +23,14 @@ from apimodels.tasks import (
SetRequirementsRequest,
TaskRequest,
DeleteRequest,
PingRequest,
)
from bll.event import EventBLL
from bll.task import (
TaskBLL,
ChangeStatusRequest,
update_project_time,
split_by,
)
from bll.task import TaskBLL, ChangeStatusRequest, update_project_time, split_by
from database.errors import translate_errors_context
from database.model.model import Model
from database.model.task.output import Output
from database.model.task.task import (
Task,
TaskStatus,
Script,
DEFAULT_LAST_ITERATION,
)
from database.model.task.task import Task, TaskStatus, Script, DEFAULT_LAST_ITERATION
from database.utils import get_fields, parse_from_call
from service_repo import APICall, endpoint
from timing_context import TimingContext
@@ -48,14 +39,7 @@ from utilities import safe_get
task_fields = set(Task.get_fields())
task_script_fields = set(get_fields(Script))
get_all_query_options = Task.QueryParameterOptions(
list_fields=(
"id",
"user",
"tags",
"type",
"status",
"project",
),
list_fields=("id", "user", "tags", "type", "status", "project"),
datetime_fields=("status_changed",),
pattern_fields=("name", "comment"),
fields=("parent",),
@@ -65,6 +49,9 @@ task_bll = TaskBLL()
event_bll = EventBLL()
TaskBLL.start_non_responsive_tasks_watchdog()
def set_task_status_from_call(
request: UpdateRequest, company_id, new_status=None, **kwargs
) -> dict:
@@ -154,7 +141,10 @@ def stop(call: APICall, company_id, req_model: UpdateRequest):
def stopped(call: APICall, company_id, req_model: UpdateRequest):
call.result.data_model = UpdateResponse(
**set_task_status_from_call(
req_model, company_id, new_status=TaskStatus.stopped, completed=datetime.utcnow()
req_model,
company_id,
new_status=TaskStatus.stopped,
completed=datetime.utcnow(),
)
)
@@ -167,7 +157,10 @@ def stopped(call: APICall, company_id, req_model: UpdateRequest):
def started(call: APICall, company_id, req_model: UpdateRequest):
res = StartedResponse(
**set_task_status_from_call(
req_model, company_id, new_status=TaskStatus.in_progress, started=datetime.utcnow()
req_model,
company_id,
new_status=TaskStatus.in_progress,
started=datetime.utcnow(),
)
)
res.started = res.updated
@@ -226,11 +219,6 @@ def prepare_create_fields(
output = Output(destination=output_dest)
fields["output"] = output
try:
dpath.delete(fields, "script/requirements")
except dpath.exceptions.PathNotFound:
pass
# Make sure there are no duplicate tags
tags = fields.get("tags")
if tags:
@@ -471,7 +459,6 @@ def reset(call: APICall, company_id, req_model: UpdateRequest):
api_results.update(attr.asdict(cleaned_up))
updates.update(
unset__script__requirements=1,
set__last_iteration=DEFAULT_LAST_ITERATION,
set__last_metrics={},
unset__output__result=1,
@@ -680,3 +667,25 @@ def publish(call: APICall, company_id, req_model: PublishRequest):
status_message=req_model.status_message,
)
)
@endpoint(
"tasks.completed", min_version="2.2", request_data_model=UpdateRequest, response_data_model=UpdateResponse
)
def completed(call: APICall, company_id, request: PublishRequest):
call.result.data_model = UpdateResponse(
**set_task_status_from_call(
request,
company_id,
new_status=TaskStatus.completed,
completed=datetime.utcnow(),
)
)
@endpoint("tasks.ping", request_data_model=PingRequest)
def ping(_, company_id, request: PingRequest):
TaskBLL.set_last_update(
task_ids=[request.task], company_id=company_id, last_update=datetime.utcnow()
)

View File

@@ -0,0 +1,38 @@
from config import config
from tests.automated import TestService
log = config.logger(__file__)
class TestTasksDiff(TestService):
def setUp(self, version="2.0"):
super(TestTasksDiff, self).setUp(version=version)
def new_task(self, **kwargs):
return self.create_temp(
"tasks", name="test", type="testing", input=dict(view=dict()), **kwargs
)
def _compare_script(self, task, script):
for key, value in script.items():
self.assertEqual(task.script[key], value)
def test_not_deleted(self):
task_id = self.new_task()
script = dict(
requirements=dict(pip=["six"]),
repository="https://example.come/foo/bar",
entry_point="test.py",
diff="foo",
)
self.api.tasks.edit(task=task_id, script=script)
self.api.tasks.started(task=task_id)
self.api.tasks.reset(task=task_id)
task = self.api.tasks.get_by_id(task=task_id).task
self._compare_script(task, script)
new_reqs = dict()
self.api.tasks.set_requirements(task=task_id, requirements=new_reqs)
script["requirements"] = new_reqs
task = self.api.tasks.get_by_id(task=task_id).task
self._compare_script(task, script)

View File

@@ -0,0 +1,29 @@
from functools import wraps
from threading import Lock, Thread
import attr
@attr.s(auto_attribs=True)
class ThreadsManager:
objects = {}
lock = Lock()
def register(self, thread_name, daemon=True):
def decorator(f):
@wraps(f)
def wrapper(*args, **kwargs):
with self.lock:
thread = self.objects.get(thread_name)
if not thread:
thread = Thread(
target=f, name=thread_name, args=args, kwargs=kwargs
)
thread.daemon = daemon
thread.start()
self.objects[thread_name] = thread
return thread.ident
return wrapper
return decorator

557
webserver/LICENSE Normal file
View File

@@ -0,0 +1,557 @@
Server Side Public License
VERSION 1, OCTOBER 16, 2018
Copyright © 2018 MongoDB, Inc.
Everyone is permitted to copy and distribute verbatim copies of this
license document, but changing it is not allowed.
TERMS AND CONDITIONS
0. Definitions.
“This License” refers to Server Side Public License.
“Copyright” also means copyright-like laws that apply to other kinds of
works, such as semiconductor masks.
“The Program” refers to any copyrightable work licensed under this
License. Each licensee is addressed as “you”. “Licensees” and
“recipients” may be individuals or organizations.
To “modify” a work means to copy from or adapt all or part of the work in
a fashion requiring copyright permission, other than the making of an
exact copy. The resulting work is called a “modified version” of the
earlier work or a work “based on” the earlier work.
A “covered work” means either the unmodified Program or a work based on
the Program.
To “propagate” a work means to do anything with it that, without
permission, would make you directly or secondarily liable for
infringement under applicable copyright law, except executing it on a
computer or modifying a private copy. Propagation includes copying,
distribution (with or without modification), making available to the
public, and in some countries other activities as well.
To “convey” a work means any kind of propagation that enables other
parties to make or receive copies. Mere interaction with a user through a
computer network, with no transfer of a copy, is not conveying.
An interactive user interface displays “Appropriate Legal Notices” to the
extent that it includes a convenient and prominently visible feature that
(1) displays an appropriate copyright notice, and (2) tells the user that
there is no warranty for the work (except to the extent that warranties
are provided), that licensees may convey the work under this License, and
how to view a copy of this License. If the interface presents a list of
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The “source code” for a work means the preferred form of the work for
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A “Standard Interface” means an interface that either is an official
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The “Corresponding Source” for a work in object code form means all the
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The Corresponding Source need not include anything that users can
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All rights granted under this License are granted for the term of
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If you make the functionality of the Program or a modified version
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THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
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17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided above
cannot be given local legal effect according to their terms, reviewing
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return for a fee.
END OF TERMS AND CONDITIONS

View File

@@ -1,4 +1,7 @@
import logging
from functools import reduce
from os import getenv
from os.path import expandvars
from pathlib import Path
from pyhocon import ConfigTree, ConfigFactory
@@ -9,6 +12,10 @@ from pyparsing import (
ParseSyntaxException,
)
DEFAULT_EXTRA_CONFIG_PATH = "/opt/trains/config"
EXTRA_CONFIG_PATH_ENV_KEY = "TRAINS_CONFIG_DIR"
EXTRA_CONFIG_PATH_SEP = ":"
class BasicConfig:
NotSet = object()
@@ -39,8 +46,32 @@ class BasicConfig:
path = ".".join((self.prefix, Path(name).stem))
return logging.getLogger(path)
def _read_env_paths(self, key):
value = getenv(EXTRA_CONFIG_PATH_ENV_KEY, DEFAULT_EXTRA_CONFIG_PATH)
if value is None:
return
paths = [
Path(expandvars(v)).expanduser() for v in value.split(EXTRA_CONFIG_PATH_SEP)
]
invalid = [
path
for path in paths
if not path.is_dir() and str(path) != DEFAULT_EXTRA_CONFIG_PATH
]
if invalid:
print(f"WARNING: Invalid paths in {key} env var: {' '.join(invalid)}")
return [path for path in paths if path.is_dir()]
def _load(self, verbose=True):
self._config = self._read_recursive(self.folder, verbose=verbose)
extra_config_paths = self._read_env_paths(EXTRA_CONFIG_PATH_ENV_KEY) or []
self._config = reduce(
lambda config, path: ConfigTree.merge_configs(
config, self._read_recursive(path, verbose=verbose), copy_trees=True
),
[self.folder] + extra_config_paths,
ConfigTree(),
)
def _read_recursive(self, conf_root, verbose=True):
conf = ConfigTree()

View File

@@ -38,7 +38,7 @@ auth {
docs {
# Default filename used when file not found error is reported when serving docs.
# This usually happans when the path is to a folder and not a file.
# This usually happens when the path is to a folder and not a file.
default_filename: "index.html"
}

View File

@@ -1,5 +1,4 @@
Jinja2>=2.9.6
setuptools>=33,<34
requests>=2.0
Werkzeug==0.12.2
Flask==0.12.2

View File

@@ -6,11 +6,21 @@ body {
background-color: #384161;
color: #c3cdf0;
font-family: Heebo;
margin-bottom: 15px !important;
}
.username-input {
margin-bottom: 20px;
padding: 0 20px;
}
.jumbotron .btn {
background-color: #2c3246;
color: #c3cdf0;
background-color: #5a658e;
color: #ffffff;
font-size: 13px;
font-weight: bold;
margin: auto;
padding: 10px 30px;
border:0px solid transparent; /* this was 1px earlier */
}
@@ -30,13 +40,70 @@ body {
}
.mobile-warn {
font-size: 40px;
display: none;
}
/* Smartphones ----------- */
@media only screen and (max-width: 760px) {
.mobile-warn {
display: block;
}
.mobile-warn.show {
display: block;
}
.mobile-warn > strong {
margin-right: 5px;
}
.logo {
width: 60%;
margin-bottom: 30px;
}
.or-container {
position: relative;
margin-top: 50px;
background-color: #384161;
padding-bottom: 20px;
}
.or-container hr{
border-top: 1px solid rgba(255,255,255,0.3);
}
.or {
position: absolute;
left: 0;
right: 0;
top: -10px;
margin: auto;
width: 30px;
font-size: 15px;
font-weight: bold;
text-align: center;
color: #8693be;
background-color: inherit;
}
.github-link {
display: flex;
justify-content: center;
align-items: center;
color: #ffffff;
}
a {
color: #ffffff;
margin-left: 10px;
}
a:hover, a:active, a:focus {
color: #ffffff;
}
.fa.fa-2x {
font-size: 1.8em;
}
.fork-github {
opacity: 0.5;
}
/*# sourceMappingURL=index.css.map */

View File

@@ -1,35 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<!-- Generator: Adobe Illustrator 23.0.4, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
viewBox="0 0 107 27.9" style="enable-background:new 0 0 107 27.9;" xml:space="preserve">
<style type="text/css">
.st0{opacity:0.5;fill:#FFFFFF;enable-background:new ;}
.st1{fill:#FFFFFF;}
</style>
<title>trains-logo-solid-italic</title>
<path class="st0" d="M6.7,20.6c0,0.2-0.1,0.4-0.1,0.6c0,0.4,0.1,0.8,0.4,1.1c0.3,0.3,0.8,0.4,1.2,0.4c0.7,0,1.4-0.2,2-0.5l0.8,4.5
C9.6,27.6,8,28,6.3,27.9C4.6,28,3,27.5,1.7,26.4c-1.1-1-1.8-2.5-1.7-4c0-0.6,0.1-1.2,0.2-1.8L3.3,4.8h6.5l-1,4.8H13l-1,4.9H7.9
L6.7,20.6z"/>
<path class="st0" d="M29.5,8.7l-1.1,5.9c-0.5-0.1-1-0.1-1.5-0.1c-1.3-0.1-2.5,0.3-3.5,1.1c-1,0.9-1.6,2-1.8,3.3l-1.8,8.8h-6.5L17,9
h6.2l-0.4,2.1C24.4,9.5,26.6,8.7,29.5,8.7z"/>
<path class="st1" d="M52.4,22.6l-0.7,4.8c-1,0.3-2.1,0.5-3.2,0.5c-1.2,0-2.5-0.2-3.6-0.8c-0.9-0.5-1.6-1.3-2-2.3
c-1.5,2-3.8,3.2-6.3,3.1c-1.3,0-2.7-0.3-3.8-1c-1.2-0.7-2.2-1.7-2.9-2.9c-0.8-1.4-1.1-2.9-1.1-4.5c0-1.9,0.4-3.8,1.4-5.5
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c0,1.1,0.6,1.6,1.7,1.6C51.5,22.9,52,22.8,52.4,22.6z M42.2,21.2c0.9-1.1,1.3-2.4,1.2-3.7c0.1-1-0.3-1.9-0.9-2.6
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<path class="st1" d="M57.8,9h6.5l-3.7,18.6h-6.5L57.8,9z M59.2,6c-0.6-0.6-0.9-1.4-0.9-2.3c0-1,0.3-1.9,1-2.7C60,0.4,60.9,0,61.9,0
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<path class="st0" d="M85,10.3c1.3,1.2,1.9,2.9,1.8,4.7c0,0.8-0.1,1.5-0.2,2.3l-2,10.3H78l1.9-9.7c0.1-0.4,0.1-0.8,0.1-1.2
c0-1.6-0.9-2.5-2.6-2.5c-1,0-2.1,0.3-2.8,1.1c-0.8,0.9-1.4,2-1.5,3.1l-1.9,9.2h-6.5L68.5,9h6.2l-0.4,1.9C75,10.2,76,9.6,77,9.2
c1-0.4,2.1-0.6,3.1-0.6C81.9,8.6,83.6,9.2,85,10.3z"/>
<path class="st0" d="M91.3,27.4c-1.2-0.2-2.4-0.7-3.4-1.3l2.4-4.6c0.9,0.6,1.9,1,3,1.2c1.1,0.3,2.3,0.5,3.4,0.5c2,0,3-0.4,3-1.3
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@@ -7,33 +7,54 @@
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Heebo" type="text/css" media="all"/>
<link rel="stylesheet" href="/static/styles/index.css">
<script charset="utf-8">
function acknowlage() {
var div = document.getElementById('mobile-warn');
div.className = div.className.slice(0, div.className.length - 5);
}
function mobilecheck() {
var check = false;
(function(a){if(/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(a)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(a.substr(0,4))) check = true;})(navigator.userAgent||navigator.vendor||window.opera);
return check;
};
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-117913368-1"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
document.addEventListener('DOMContentLoaded', function(){
var div = document.getElementById('mobile-warn');
if(mobilecheck()) {
div.className += ' show';
}
}, false);
gtag('config', 'UA-117913368-1');
</script>
{% block head %}
{% endblock %}
</head>
<body>
<div class="container text-center">
<br/><br/><br/>
<div id="mobile-warn" class="alert alert-warning mobile-warn" role="alert">
<button type="button" class="close" data-dismiss="alert" aria-label="Close" onclick="acknowlage()">
<span aria-hidden="true">&times;</span></button>
<strong>Notice!</strong> The Web-App is not yet optimized for mobile devices.
</div>
<div class="row">
{% set pwidth = popup_width or 4 %}
<div class="col col-md-{{ ((12 - pwidth) / 2)|int }}"></div>
<div class="col col-md-{{ pwidth }} jumbotron" style="border-radius: 0px; !important;">
<div class="row login-section">
<section class="mx-auto">
<img src="/static/trains-logo-solid-italic.svg" alt="TRAINS" class="img-responsive"/>
<img src="/static/trains-wht-svg.svg" alt="TRAINS" class="logo"/>
<br class="my-4 nav-divider"/>
{% block popup %}
{% endblock %}
</section>
</div>
</div>
</div>
<a class="fork-github" href="https://github.com/allegroai/trains/issues">Questions or comments?</a>
{% if get_flashed_messages() %}
<div class="row">
<div class="col col-md-2"></div>
@@ -49,4 +70,4 @@
</div>
</div>
</body>
</html>
</html>

View File

@@ -1,14 +1,15 @@
{% extends "base.html" %}
{% block head %}
{% endblock %}
{% block popup %}
<div class="alert alert-warning mobile-warn" role="alert">
<strong>Notice!</strong> this application isn't optimized for mobile browsing
</div>
<form role="form" class='form-horizontal' name="login_form" action="/create_user" method="post">
<div class="form-group">
<div class="username-input">
<input id="username-input" name="name" type="text" class="form-control" value="" placeholder="Full name" required/>
</div>
<div class="form-group">
<button class="btn btn-primary btn-block" type="submit">Log in as new user</button>
<div >
<button class="btn btn-primary" type="submit">LOGIN<span class="new-user-login"> AS NEW USER</span></button>
</div>
</form>
<div class="btn-group-vertical btn-group-lg login-buttons" style="width: 100%">
@@ -18,6 +19,15 @@
</a>
{% endfor %}
</div>
<div class="or-container">
<hr/>
<div class="or"> OR </div>
</div>
<div class="github-link">
<i class="fa fa-2x fa-github" aria-hidden="true"></i>
<a href="https://github.com/allegroai/trains">Fork on Github</a>
</div>
{% endblock %}
{% block messages %}

View File

@@ -31,6 +31,12 @@ class CreateUserError(Exception):
pass
class UsersGetAllError(Exception):
def __init__(self, res, *args):
self.res = res
super(UsersGetAllError, self).__init__(res, *args)
class SimpleUser(UserMixin):
_cache = None
@@ -62,7 +68,7 @@ class SimpleUser(UserMixin):
def get_all(cls):
res = SessionFactory.get().send_request("users.get_all")
if not res.ok:
return None
raise UsersGetAllError(res)
return [
cls(user_data=UserData.from_dict(user))
for user in res.json()["data"]["users"]

View File

@@ -30,6 +30,7 @@ from user import (
AUTH_TOKEN_COOKIE_KEY,
CreateUserError,
)
from user.simple import UsersGetAllError
log = config.logger(__file__)
@@ -188,7 +189,18 @@ def _get_webapp_conf():
@app.route("/login")
def login():
users = sorted((user.user_data for user in UserFactory.get_class().get_all()), key=attrgetter("name"))
try:
users = sorted((user.user_data for user in UserFactory.get_class().get_all()), key=attrgetter("name"))
except UsersGetAllError as ex:
log.warning("error when getting users: %r", ex)
try:
result_msg = ex.res.json()["meta"]["result_msg"]
except Exception as ex:
log.exception("error when getting users: error when parsing error data")
flash(f"Unknown error: {ex!r} (check logs for more info)")
else:
flash(result_msg)
return make_response(render_template("login.html", users=[]))
response = make_response(render_template("login.html", users=users))
# make sure to clear out session token cookie
response.set_cookie(