Hi, I'm new to the arize phoenix. I want to setup the project and run on my local to access the FE components. Can anyone please help me with that. Thanks
Kratos - You can refer to this page in the documentation: https://docs.arize.com/phoenix/deployment/deploying-phoenix It has all the details. You can setup Phoenix in docker using:
docker pull arizephoenix/phoenix
docker run -p 6006:6006 -p 4317:4317 -i -t arizephoenix/phoenix:latestThen send traces using OpenInference as described in the documentation page. You will be able to see them on the Phoenix dashboard.
Thanks Nabeegh A. Will give it a try!
Hi Nabeegh A. Is there any way to only run the phoenix/app on localhost for the front-end part? I need to create some components like charts, nav, time range, etc. gone through the readme file provided in the phoenix/app folder but it still giving me errors. Thanks
At the moment no, the Phoenix team has it on their roadmap that they want to use Vite, but as of now, you will have to create phoenix builds every time you want to see the new changes.
okay. I'm currently running the project with "docker run -p 6006:6006 -p 4317:4317 -i -t arizephoenix/phoenix:latest". I want to know how I can change anything in the image below. For eg. as here's the dropdown for the time range and I want to change it to like "Last Day to any other word". Can you please give me some steps to update this? I've tried to update this from the file "constants.ts" in phoenix/app/src/components/datetime/constants.ts but it's not working. Thanks
Kratos - Since that requires you changing the Phoenix code, you will first have to fork the Phoenix repository from github.com/arize-ai/phoenix. Once you do, you can explore the Development.md file on instruction of how to setup the project locally. Once that is done, you can then go to changing the code. Afterwards, you will have to create a new build of the system. First in the phoenix/app, you can create a build using pnpm run build Then in the main folder, you can use hatch build to build the whole system. You can then build a new docker image, or install the built python package in your application.
Nabeegh A., In Development.md it's given for macOS I'm working on Windows. Can you please help me with that also after the setup how can I run this on my local? Thanks
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