atlas | Open Source , Self-Hosted Platform | Machine Learning library
kandi X-RAY | atlas Summary
kandi X-RAY | atlas Summary
The following diagram shows a high level overview of how the Atlas system works. Note that Atlas's codebase evolves faster than this diagram and this diagram may not be kept upto date in real time. Still a good source to get a general understanding of the system. “Atlas Server” is the term that we use to describe all of the services that allow Atlas to do its magic.
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Top functions reviewed by kandi - BETA
- Dump all available configuration files
- Convert a windows path to a posix
- Copies auth_proxy_proxy_config to f9s home directory
- Ask the user for a given prompt
- Stream job logs
- Get job logs
- Returns the foundations Foundations home directory
- Returns the user token
- Logs the given credentials
- Login to GitHub
- Load Docker images
- List files in a bucket
- Argument parser
- Waits for the deployment to complete
- Configures the foundations
- Retrieves the project logs
- Sets the default configuration file
- Clears the job queue
- Gets the progress callback
- Retrieve artifacts
- Prints welcome message
- Deploys the job
- Gets the translate implementation
- Deletes a job
- Translates a configuration
- Stops the job submission
atlas Key Features
atlas Examples and Code Snippets
Community Discussions
Trending Discussions on atlas
QUESTION
I am trying to install all needed modules for an existing Django project. When I run pip install -r requirements.txt I get the following errors:
ANSWER
Answered 2021-Jan-26 at 13:05Inside your requirements.txt change scipy line with this scipy==1.6.0 and save. Now retry pip installation.
QUESTION
Hey, I am working on putting up a rocket rest api with a mongodb database.
I have been able to create a successful connection to the MongoDB Atlas and put the resulting client into the state management of rocket via the manage builder function like this:
ANSWER
Answered 2021-Jun-14 at 20:39This has been resolved. See above for the solution. It is marked with a header saying solution.
QUESTION
I have a react application (Node back end) running on Heroku (free option) connecting to a MongoDB running on Atlas (also free option). When I connect the application from my local machine to the Atlas DB all is fine and data retrieved (all 108 K records) in about 10 seconds, smaller amounts (4-500 records) of data in much less time. The same request from the application running on Heroku to the Atlas DB fails. The application running on Heroku can retrieve a small number of records (1-10) from the same collection of (108 K records), in less than a second. As soon as I try to retrieve a couple of hundred records the system fails. Below are the logs. I included the section of the logs that show a successful retrieval of 1 record and then failing on the request for about 450 records.
I have three questions:
- What is the cause of the issue?
- Is there a work around in the free option of Heroku?
- If there is no work around in the free option, what Heroku pay level will I need to get to and what steps will I need to take to get this working? I will probably upgrade in the future but want to prove all is working before going in that direction.
Logs:
...ANSWER
Answered 2021-Jun-14 at 18:09You're running out of heap memory in your node server. It might be because there's some statement that uses a lot of memory. You can try to find that or you can try to increase node memory like this.
QUESTION
Hy, I start learning a nodejs with restapi. But I'm trying to connect my mongodb atlas but it is giving me that error:
...ANSWER
Answered 2021-Jun-13 at 09:14In order to connect to the atlas, make sure you have whitelisted your IP address. you can find the deleted steps here
QUESTION
I have a problem when I try to update or delete data from my MongoDB Atlas database.
The thing is, it looks like the "updateOne" and "deleteOne" methods are being called but not in the right way.
Whenever I try to retrieve the operation the result is the following:
...ANSWER
Answered 2021-Jun-12 at 15:56On the first line you're pulling the entire lib instead of ObjectId.
QUESTION
I was following this tutorial (https://docs.microsoft.com/en-us/learn/modules/create-your-first-iot-central-app/) In unit 4, I followed all the steps but what I could see was just a blank page like this
...ANSWER
Answered 2021-Jun-10 at 16:00If all the different sites that use Azure Maps doesn't work for you its likely one of the following reasons:
- Make sure you are in a supported region. Azure Maps is not available to users who are located in China or South Korea, and the requests to the platform are actively blocked.
- You are using an unsupported browser: https://docs.microsoft.com/en-us/azure/azure-maps/supported-browsers
- WebGL is either disabled in your browser, or isn't working. Try this sample: https://azuremapscodesamples.azurewebsites.net/Map/Detect%20if%20browser%20is%20supported.html
- Your graphic card has issues, try updating the drivers.
QUESTION
I would like to do a range search on a date using MongoDB Atlas Search, but I also need to include search results where there is no date at all. This is how I would do this in a $match stage of an aggregation pipeline:
ANSWER
Answered 2021-Jun-09 at 05:10For all documents that don't have a start date, write a placeholder value into the date e.g. 0000-00-00. If the missing date means something for your application, duplicate the data + placeholder into a new field.
QUESTION
Pretty much the question. Here's what I have currently:
...ANSWER
Answered 2021-Jun-09 at 03:58you can download newer version of the tools and install it, just like you do on linux host
example Dockerfile like below:
QUESTION
Here my server side code
...ANSWER
Answered 2021-May-28 at 20:52you can just call addNewRestaurant with whatever data you want, matching your schema.
QUESTION
I'm trying this tutorial from youtube:
https://www.youtube.com/watch?v=4ECVE6TXKLQ&list=PLI-gk4ISRzCPlJjCz3yuAhL8vnmK6KWr7&index=11
so far I have a server listening on port 8080 I'm connected to MongoDB atlas database and it worked fine, my next step is to make an API to do signup so here's my code:
server.js: ...ANSWER
Answered 2021-Jun-04 at 14:08Change the following line in your server.js file:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install atlas
Windows 10 Guide
AWS Cloud installation
GCP Cloud installation
Multi-node cluster deployment: AWS guide On-prem cluster guide.
When you are ready, just follow the steps below in order to set up a development environment. For other Linux machines, replace apt install with the equivalent command for your distributions package manager.
You will need to have docker, yarn, and the envsubst command line tool on your machine in order spin up a local development environment. OSX: brew install docker brew install yarn brew install gettext Ubuntu: apt install docker apt install docker-compose apt install yarn apt install gettext
Clone this repository and enter the new directory git clone git@github.com:DeepLearnI/atlas.git && cd atlas
Create and activate a brand new virtual environment with Python 3.7 then install the requirements. Some examples below. Using Conda: conda create --name foundations python=3.7 && conda activate foundations pip install -r requirements_dev.txt Pipenv: pipenv --python 3.7 && pipenv shell pipenv install pipenv install -r requirements_dev.txt --dev --pre --skip-lock Venv: python3 -m venv . && source bin/activate pip install -r requirements_dev.txt
Add the packages that make up Atlas to your python path and set some environemnt variables by sourcing the activate_dev_env.sh file. . ./activate_dev_env.sh
Launch Atlas in development mode. This may take a while to pull some required docker images. make devenv-start
You can now create a sample project by running the following command. python -m foundations init my-project
Change into the newly created project directory and execute the following command to submit your first job. This can take a while the first time as one more image may need to be pulled. python -m foundations submit scheduler . main.py
Navigate to localhost:3000 and verify that your newly created project exists on the frontend. Click on the project and verify that your job executed successfully.
Congrats! You are ready to go.
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