Hi ,all I have a problem when use the python lakefs_client: I have deployed the lakefs service locally. when i use the example api: client.repositories_api.list_repositories(prefix="",after="", amount=100 ) .It reported an error: urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='xxx', port=xxx): Max retries exceeded with url: /api/v1/repositories (Caused by ProtocolError('Connection aborted.', ConnectionResetError(10054, '远程主机强迫关闭了一个现有的连接。', None, 10054, None))) However , other api :such as :client.repositories_api.delete_repository(repo_name),,client.branches_api.create_branch(repository=repo_name, branch_creation=branch_creation) are ok. list_repositories and list_branches api are have the error

Hi @yiming song, I wasn’t able to reproduce on my side. Can you please provide the versions of lakeFS server and python client? Adding the commands for convenience •

lakefs --version

•

pip show lakefs_client

Hi, im the one ,thank u for help. the versions of Lakefs is 0.105.0, the lakefs_client is 0.105.0

I wasn’t able to reproduce: Can you please try to run the following code:

import lakefs_client
from lakefs_client.client import LakeFSClient

configuration = lakefs_client.Configuration()
configuration.username = 'AKIAIOSFDNN7EXAMPLEQ'
configuration.password = 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY'
configuration.host = '<http://localhost:8000>'
client = LakeFSClient(configuration)
resp = client.repositories_api.list_repositories(prefix="",after="", amount=100)
for item in resp.results:
    print(item)

Change the configuration to fit to your environment

it still reported it wrong. and there is no load-balancer/proxy between my client to lakeFS.

Where are you running the code, can you run it locally from your CLI?

yes I run it locally . in the pycharm

In the error message I see

Get /datasetmanage/lakefs/…

Where does that come from?

our team want to develop a dataset platform based on lakefs . So that Url is my.And I use the lakefs api during my own interface

Nice 😃, In order to try and identify the problem, can you please start by just running the provided command directly?

Okok.But I'm at home now, my computer is in my company. By the way , can I ask that what's the meaning of running the provided command .I'm sorry that my English is not good。🤣

Sorry I wasn’t clear, meant the code snippet I provided earlier

import lakefs_client
from lakefs_client.client import LakeFSClient

configuration = lakefs_client.Configuration()
configuration.username = 'AKIAIOSFDNN7EXAMPLEQ'
configuration.password = 'wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY'
configuration.host = '<http://localhost:8000>'
client = LakeFSClient(configuration)
resp = client.repositories_api.list_repositories(prefix="",after="", amount=100)
for item in resp.results:
    print(item)

Change the configuration to fit to your environment

Thank u for explaining. I will try it tomorrow. Thanks~

Can't see the host value - can you verify you don't specify any path there. like in the example code. Alternatively can you paste here the configuration.host value and instead of image mask replace any letter with x and any digit with 8?

import lakefs_client from lakefs_client.client import LakeFSClient from lakefs_client import models configuration = lakefs_client.Configuration() configuration.username = 'AKIAJLQJ6LOX57YS54VQ' configuration.password = 'XT2z7RRDX9QFr4Y4TrRQe1Qw9GAi4HgjH1XT7g5v' configuration.host = 'http://124.221.75.166:8001/' client = LakeFSClient(configuration) resp = client.repositories_api.list_repositories(prefix="", after="", amount=100) for item in resp.results: print(item)

configuration.debug = True

should dump the raw request - it may help understanding why we are getting bad protocol error

thank u