I have a table test_table: Column | Type | ------------+------------------------+ id | integer | attributes | json | With content: id | attributes ----+---------------------------- 1 | {"a": 1, "b": ["b1","b2"]} 2 | {"a": 2, "b": ["b3"]} 3 | {"a": 3}…
Have a couple web scraping scripts using selenium and Firefox I'm trying run inside of a docker container. I'm using Arch Linux, but I've made sure to closely follow the install directions on the official docker website specific to arch…
Currently containerizing a legacy Django project, and running into an odd error. When pushing the config file to the running server, it fails to apply, and on inspecting the log, I get the following: 2023/12/06 21:36:02 [info] 39#39 discovery started…
I have a game telegram bot which uses first name - last name pairs to spell out a top chart of users in a chat by their score. Screenshot example below: So, every user has a link to them. The…
I've been having some issues with a connection to a Postgresql instance on Google Cloud SQL, and wanted to ask for help. I'm not sure if a solution would be to initiate a connection engine or something of the sort,…
I am building a django app with docker. After i`ve already built my container, I've added an ImageField to one of my models. When I ran docker-compose run web(my service name) python3 manage.py makemigrations, it gave me an error, that…
I am encountering this error and not able to fix the issue while installing CondaVerificationError: The package for pytorch located at C:Userspinokiobinminicondapkgspytorch-1.12.1-py3.7_cuda11.6_cudnn8_0 appears to be corrupted. The path 'Lib/site-packages/caffe2/experiments/python/tt_pad_op_test.py' specified in the package manifest cannot be found. Ran the code,…
I want to create an Azure AI Search index with a vector field using the currently latest version of azure-search-documents v11.4.0. Here is my code: from azure.core.credentials import AzureKeyCredential from azure.search.documents import SearchClient from azure.search.documents.indexes import SearchIndexClient from langchain.embeddings import…
I am trying to do a Vector Search with Azure Cognitive Search in Python. This is my code: query = "What are the advantages of an open-source ai model?" search_client = SearchClient(AZURE_COGNITIVE_SEARCH_SERVICE_ENDPOINT, AZURE_COGNITIVE_SEARCH_INDEX_NAME, credential=AZURE_COGNITIVE_SEARCH_API_KEY) vector_query = VectorizableTextQuery(text=query, k=3, fields="content_vector") results…
I have a dataframe which has a structure like below. id, name, value, employee_0_salary, employee_0_skills_0_id, employee_0_skills_1_id, employee_1_salary, employee_1_skills_0_id so on.. Basically formed from a flattened json. But the number of columns exceed 1024. I couldn't copy the structure of json…