running into message/content length impedance over 8K tokens

problem appears when trying to write queries which reference, either with visual selection or as part of chat messages, very long files (greater than 8K tokens I think is the problem)(the file in particular I'm trying to include is 37085 bytes, but if I only include 32546 it works (not including the prompt itself which is fairly short)). since a token is roughly 4 bytes it seems to roughly be right.
I get the error <model> response is empty: ""
How can we take advantage of a 128K token window or greater if it cannot handle greater than 8k tokens?
I see that for googleai and anthropic providers the payload uses model.max_tokens or set a default value, but I cannot find anywhere else it is set/used in the code, especially in the config (although I'm just using grep and surface level manual searching).

@qaptoR max_tokens and equivalents serve as output limits (for example if a model went crazy and didn't stop generating, the limit would save your wallet).

anthropic limits outputs to 4k tokens which is the current default in Gp https://docs.anthropic.com/en/docs/about-claude/models
gemini has max output 8k https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models
and so on

What you're probably hitting are the rate limits, which are not directly configurable, but related to your api token/account tiers:

https://docs.anthropic.com/en/api/rate-limits#rate-limits
https://platform.openai.com/docs/guides/rate-limits/usage-tiers?context=tier-two

Likely you're hitting tier one:

you might be right, but it doesn't seem like I should be hitting a limit yet for what I'm using

I ran the test mostly with gemini-flash today, and then just once with gpt4o-mini (in the image) which shows that it actually is far less than even 8K tokens of input (its a lot of markdown tabular data with empty cells)

@qaptoR could you turn on the log_sensitive = true, open new neovim instance, run one of the examples which fails and send me the corresponding curl command (:GpInspectLog)?  Be careful to remove the corresponding api token.

The content I'm working with contains information that I don't want public yet (proprietary rpg rules i'm working on). So i converted the text and tested it both at full length and with the same data removed that makes it work. Hence it is about the number of bytes and not to do with the formatting of the content etc.
[2024-08-09.08-55-32.875] [bf259fec] DEBUG: [SENSITIVE DATA] run command: curl --no-buffer -s https://api.openai.com/v1/chat/completions -H Content-Type: application/json -d {"messages":[{"role":"system","content":"You are a general AI assistant.\n\nThe user provided the additional info about how they would like you to respond:\n\n- If you're unsure don't guess and say you don't know instead.\n- Ask question if you need clarification to provide better answer.\n- Think deeply and carefully from first principles step by step.\n- Zoom out first to see the big picture and then zoom in to details.\n- Use Socratic method to improve your thinking and coding skills.\n- Don't elide any code from your output if the answer requires coding.\n- Take a deep breath; You've got this!"},{"role":"user","content":"aaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\n\naaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\naaaaaaaaa\naaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\n\naaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\n\naaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\n\naaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\n\naaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\n\naaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaa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aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\n\naaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\naaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa\n\n\n\n\n\n\ncan you tell me what is another word for ancestry, race, or heritage that can be used to describe the way that races are built above. race is a charged word, and pathfinder already uses 'ancestry'"}],"model":"gpt-4o-mini","stream":true,"top_p":1,"temperature":1.1} -H Authorization: Bearer *************************************************** -H api-key: ***************************************************
[2024-08-09.08-55-32.877] [bf259fec] DEBUG: [SENSITIVE DATA] curl command started with pid: ENAMETOOLONG: name too long
[2024-08-09.08-55-32.877] [bf259fec] ERROR: openai response is empty:
""

ENAMETOOLONG: name too long

Hmm, do the unobscured queries end with the same error? If so, the requests didn't leave your machine at all.
I've run the query on the main branch of Gp and it responded just fine:

Are you running on main, or use branch/fork? If you'd be willing to switch to main for quick testing and try to put a loads of data in chat buffer manually, do you also get this error?
If you can reproduce this issue on the main branch, first thing we could try to fix it is to stop passing the payload directly as part of the command and store it in file instead.
If you can't reproduce it on main, we'll have to check the branch.

Whats your number for
$getconf ARG_MAX
2097152

?

I guess I should have mentioned sooner. I'm on windows 10, using powershell

@qaptoR I've just checked on my poorly set up windows virtual machine, that as expected passing the payload as a -d @file instead of directly solves the issue. Will try to get it in the main this evening.

Thank you for figuring this out so swiftly! I was driving myself mad reading your code because for the life of me I could not find anything wrong with it (because there isn't). Makes so much sense that it's a platform limitation.
I suppose it's much easier to use the api with python when trying to pass a 128k token string through! Working with curl because of the limitation of lua not having an api import library leads to a lot more learning. I will remember this if I'm building an app in a language where I also must work with curl.

@qaptoR please pull main into your branch and try it out

Bam! Wow, that worked immediately! And it feels so good too, just writing one line to include a file and asking it to summarize the key points!
I'm not sure if you saw but I added a way to recursively define import files, so that you can write a file that has itself import commands for the most commonly used reference files. That way you can easily define a bunch of reference templates when you want to ask a question and it just includes everything. So you just helped me a tonne, because I plan on racking up towards that 128k context window all the time!

@qaptoR I'll guess next stop will be those rate limits :slightly_smiling_face:

I'm not sure if you saw but I added a way to recursively define import files, so that you can write a file that has itself import commands for the most commonly used reference files. That way you can easily define a bunch of reference templates when you want to ask a question and it just includes everything. So you just helped me a tonne, because I plan on racking up towards that 128k context window all the time!

Not yet, I'm interested but, first I need to build in a generic @macro optional_value support with autocomplete for commands and chat buffers. It's the only way out of the chaos of all the possible contexts people want to use.


[Ballerina Shell] Global variable incorrect behavior in closures

Description:
Assignments done to global variables in closures are not be reflected after the execution. The changes are visible only for the scope belonging to the snippet where the closure was defined. The reason is due to closure holding the previous snippet global variable reference.
Steps to reproduce:
In REPL,
=$ int x = 10
=$ var f = function () { x = 12; }
=$ f()
=$ x   // <- this should output 12 but will output 10 instead

This is the same for class methods or any variable holding a function reference. The global variables inside them are the wrong references.

This can be fixed by using a compiler phase for ballerina shell.
The cause of this issue is that the variables in closures point to the old reference. Since global variables are redefined at each step, the references in closure become invalid (or rather point to the same old reference) when the next snippet is evaluated.
One approach to fix this would be to remove global variable assignments/use and replace them directly with MEMORIZE and REMEMBER calls. So following code,
var f = function () {
    i += 1; // i is a global variable
}

would be converted to,
var f = function () {
   MEMORIZE("i", REMEMBER("i") + 1);  // i is a global variable
}

Since this would have to run after desugaring phase, (otherwise it may be required to desugar some code segments anyways), a compiler phase might be required.
This closed PR implements a similar approach.
https://github.com/ballerina-platform/ballerina-lang/pull/28458

The reason it was closed without merging was that it was kind of a big change at the time (because it was implemented as a new compiler phase) I only implemented that PR as a reference implementation and by now I think some things in that PR may be broken.

We have failed to provide proper estimate for this. Hence, we have to add more points for this.

We have spent a few cycles to resolve this issue with the existing design of the Ballerina Shell. But we figured it was not possible to fix these issues entirely with the existing Shell architecture. There are a few options we could consider to completely fix this issue.
We should discuss and come up with a plan as the next step.

Introduce another compiler phase that runs only for the Shell. Sunera did an implementation for this some time back. https://github.com/ballerina-platform/ballerina-lang/pull/28458 . But IMO, it is not the best approach
Remove the temporary memory storage used at Shell and redesign the Shell to act the simple client, which simply wraps user inputs and performs ballerina execution each user input.
Redesign the Shell to use the Semantic model instead of a syntax tree. This requires some improvement in the compiler to support semantic model execution.

It requires a rewrite of most of the components or introducing a new phase at Compiler FE. We are not planning to focus this now and we'll get back later.


Workaround calico issue in integration test

See https://github.com/istio/istio/issues/52719

should we cherry-pick to 1.23? we are still getting failures for those postsubmit jobs

@howardjohn: new pull request created: #52797

In response to this:

/cherrypick release-1.23
On Wed, Aug 21, 2024 at 8:26 AM Ian Rudie @.***> wrote:

should we cherry-pick to 1.23? we are still getting failures for those
postsubmit jobs
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[Feat]: config in script tag

Description
I feel that separating the script tags from the configuration is asking for trouble: misspelled categories, and other woes.
Why now put everything around a script into the configuration. For most users, external cookies are the problem, so they are spit out by external javascripts which are include inside some script tag.
However even inline scripts can be better tagged by attributes than by some error-prone json config.
<script url="..."
data-cc-category="whatever"
data-cc-cookies="cookie1|description|cookie2|description"
data-cc-readonly="no"
data-cc-enabled="yes"
></script>

This way, whenever you change/switch/update a script, you are forced to look at the attributes as well. The configuration can then be autogenerated.
Proposed solution
No response
Additional details
No response

Sorry, I don't like the idea of having to rely on script tags to define configuration fields. It surely wouldn't be pretty to inject script tags in a React app just to define a category.
The user should be able to configure everything with no script tags at all.

With the configuration and script inclusion apart you run into inconsistencies with the factual scripts and the definition. Had some headaches around this, especially since CookieConsent does not do any sanity/plausibility checks. If a configuration category has no scripts, the thing crashes silently...

And: this tool should be framework agnostic. I assumed it was not written to be married to React. Any usual app would inject their script into the page.

The plugin is written in vanilla javascript, so it is framework agnostic. You can use it in angular, react, vue ... or plain .html files.
There's a .d.ts file which should help you create a valid configuration.
Even if the config. was moved to the script tag, you'd still have to specify the categories inside the configuration object (javascript side) in order to create the toggles inside the settings modal.


CLI - init cmd: Progress bar not completing

Overview

Last progress bar is missing to finish increment.

Feels like it was fixed at some point:

Im closing the ticket, feel free to re-open it if we missed something.


Fix the file newer dialog that keeps popping up

The focus is switching back and forth between the popup dialog and the editor window, causing an infinite loop.
Fix #65824.

Thanks!


Some pages don't seem to have right encoding

On a few pages I have noticed this:

The website in question is: http://www.empireaerials.net/
Source looks OK.  Why is anglesharp getting messed up text?  Is there a better way to access the pure text version of the page?

I assume that this has to do with the content encoding (it is gzipped). What are the options you use? I guess throwing in AngleSharp.Io  with an requester implementation based on the more modern HttpClient may solve the problem.

I'm using Configuration.Default.WithDefaultLoader();
So the problem is they have enabled compression on webserver?

Yes, they are using compression even though the client did not send the compression capability (header: Accept-Encoding: gzip). In general a webserver should only send back compressed content if the client supports it (but all evergreen browsers support this).
The PCL HttpWebRequest does not come with options to set / allow compression (I'll try some black magic to get it working on supporting platforms), but HttpClient will allow you to enable this.

Thanks.  I guess I can test for content and if I don't find it have a `HttpClient" fallback.

Fixed in upcoming release, see PR #418.


Error: /usr/local/share/lua/5.1/kong/cmd/start.lua:21: [postgres error] could not get current migrations: [postgres error] connection refused

Software Versions:
CentOS: 7
ember-cli: 2.12.2
node: 7.9.0
Kong: 0.10.2
Postgres: 9.5.2
Project is hosted via docker on AWS EBS.
Synopsis: Ember application is used to run on AWS EBS with the same ember-cli and node versions but kong version as 0.8.3.
Once 0.8.3 version is made unavailable, I upgraded the to kong version 0.10.2 but used the same configuration files. The following error occurs when deployed.
' Error: /usr/local/share/lua/5.1/kong/cmd/start.lua:21: [postgres error] could not get current migrations: [postgres error] connection refused '
Solutions for this error suggests to upgrade the Postgres version from 9.2 to 9.4.2 or higher, but am already using 9.5.2.
The following other options were tried and still experiencing the same error.
Kong version: 0.11.0, 0.12.2
Changing the ports from 8000 to 8001 and 8443
Elastic Bean stalk says '502 Bad Gateway' when deployed.
Did any one face this kind of error?
Can anyone suggest any solution for the above issue.
Thanks in advance.

' Error: /usr/local/share/lua/5.1/kong/cmd/start.lua:21: [postgres error] could not get current migrations: [postgres error] connection refused '

The "connection refused" message means that your database configuration is incorrect. Did you follow the upgrade path procedures?

Also, since this looks like a configuration issue (note that the configuration format did change after 0.8.x!), I would like to direct you to our [https://discuss.konghq.com](Kong Nation) forum instead, where you will have a better chance to have your questions addressed by the community. The Github issue tracker in the Kong repo is for bugs only. So, I'm closing this for now. Feel free to reopen if you believe this to be a bug in Kong.


Fix GitHub App API Client to use new Installation Access Token endpoint

As per this GitHub blog post, the old installation access token API endpoint for GitHub Apps was deprecated.
This PR fixes the backend component's API client to use the new endpoint.
Resolves #18

Tested locally and ran integration tests


Implement preview and code on highlighting in quick search panel

When searching for something in the quick search panel, you would see it in uniform color except the pattern text:

The suggestion is to highlight it to the real colors it would have been colored if I would open the file, so for example variables in a certain color, string in other color and so on.
And the second idea is to be able to see +- X lines before and after, just to feel more the context of what search result I am looking at. Or just when moving between search results it would open it in watch mode, for a fast access, and when pressing ESC, it would return to the original file I was.

In the latest VS Code you can see preview now:
https://github.com/microsoft/vscode/assets/2644648/8919bac0-3c4e-4689-9803-83545dad88ae
since we have this, I think that my eyes focus a lot on the editor and less the quick pick... so I don't think the code highlighting in the quick pick is needed. Additionally, that'd be quite a lot of work since we don't have a concept of code highlighting there.
Give the preview stuff a try and let us know if you find any issues with it!

cc @andreamah


chef-client::task fails on nano server

Cookbook version
7.0.0
Chef-client version
12.14.60
Platform Details
Windows Nano Server 10.0.14393.0
Scenario:
if chef-client::task (or any other recipe which uses wmi_property_from_query) is run on nano server it fails with a WIN32OLERuntimeError.
Steps to Reproduce:
Include chef-server::task in the run list of a nano server and converge
Expected Result:
A scheduled task for chef-client is created
Actual Result:
WIN32OLERuntimeError
--------------------
failed to parse display name of moniker `winmgmts://'
    HRESULT error code:0x80004005
      Unspecified error

As far as I can tell the line which throws the failure is this one, but any invocation of wmi_property_from_query will barf.
The relevant Win32_* classes are still queryable with CimCmdlets, for instance:
[<IP_ADDRESS>]: PS C:\> Get-CimInstance -Query "select * from Win32_UserAccount where sid like 'S-1-5-21-%-500' and LocalAccount=True"

Name             Caption                                  AccountType                              SID                                      Domain
----             -------                                  -----------                              ---                                      ------
Administrator    Nano\Administrator                       512                                      S-1-5-21-850424881-462263701-29929842... Nano

The scheduled task provider in the windows cookbook does not yet support nano so this cookbook doesn't either. Can you open this issue against https://github.com/chef-cookbooks/windows so we can track it there.


useFocusedContext filename fix.

Issue:
The file should match with what is being exported.
We export useFocusContext hook and filename is useFocusedContext
Resolution :
I have branch ready with the fix. Please guide how to contribute.

Hi. I've renamed it as part of the latest patch release, it's a minor thing. Available in v1.3.2 :)


do-agent: 3.9.0 -> 3.9.4

Automatic update generated by nixpkgs-update tools. This update was made based on information from https://github.com/digitalocean/do-agent/releases.
meta.description for do-agent is: "DigitalOcean droplet system metrics agent"
meta.homepage for do-agent is: "https://github.com/digitalocean/do-agent"
meta.changelog for do-agent is: ""
Updates performed

Golang update

To inspect upstream changes

Release on GitHub

Compare changes on GitHub

Impact

Checks done (click to expand)

built on NixOS

The tests defined in passthru.tests, if any, passed

/nix/store/pi4pxp5wfc7p9x0n6hjhbyzchfqan5m0-do-agent-3.9.4/bin/do-agent passed the binary check.

1 of 1 passed binary check by having a zero exit code.

1 of 1 passed binary check by having the new version present in output.

found 3.9.4 with grep in /nix/store/pi4pxp5wfc7p9x0n6hjhbyzchfqan5m0-do-agent-3.9.4

found 3.9.4 in filename of file in /nix/store/pi4pxp5wfc7p9x0n6hjhbyzchfqan5m0-do-agent-3.9.4

directory tree listing: https://gist.github.com/ac30e5add86013edd4dabdeb8732df16

du listing: https://gist.github.com/a40ba3fa876619048c1e60a8f0a91fd5

Rebuild report (if merged into master) (click to expand)

3 total rebuild path(s)

1 package rebuild(s)

1 x86_64-linux rebuild(s)
1 i686-linux rebuild(s)
0 x86_64-darwin rebuild(s)
1 aarch64-linux rebuild(s)

First fifty rebuilds by attrpath
do-agent

Instructions to test this update (click to expand)

Either download from Cachix:
nix-store -r /nix/store/pi4pxp5wfc7p9x0n6hjhbyzchfqan5m0-do-agent-3.9.4 \
  --option binary-caches 'https://cache.nixos.org/ https://nix-community.cachix.org/' \
  --option trusted-public-keys '
  nix-community.cachix.org-1:mB9FSh9qf2dCimDSUo8Zy7bkq5CX+/rkCWyvRCYg3Fs=
  cache.nixos.org-1:6NCHdD59X431o0gWypbMrAURkbJ16ZPMQFGspcDShjY=
  '

(The Cachix cache is only trusted for this store-path realization.)
For the Cachix download to work, your user must be in the trusted-users list or you can use sudo since root is effectively trusted.
Or, build yourself:
nix-build -A do-agent https://github.com/r-ryantm/nixpkgs/archive/daf09d6074b7a92adf6628f7108547a78df2d161.tar.gz

After you've downloaded or built it, look at the files and if there are any, run the binaries:
ls -la /nix/store/pi4pxp5wfc7p9x0n6hjhbyzchfqan5m0-do-agent-3.9.4
ls -la /nix/store/pi4pxp5wfc7p9x0n6hjhbyzchfqan5m0-do-agent-3.9.4/bin

Pre-merge build results
We have automatically built all packages that will get rebuilt due to
this change.
This gives evidence on whether the upgrade will break dependent packages.
Note sometimes packages show up as failed to build independent of the
change, simply because they are already broken on the target branch.
Result of nixpkgs-review run on x86_64-linux 1

1 package built:

do-agent

Maintainer pings
cc @yvt @kalbasit for testing.

Result of nixpkgs-review pr 118044 run on x86_64-linux 1

1 package built:

do-agent


how to use table prefix

I am trying to export data with table prefix but I don't know how to do it.

Hi @harrisdt15f Table prefixes are currently not supported.


how to use the scib package

Hi !
I am a bit confused about the best way to use the scib pacakge. I am only interested in running the quality metrics. From the issues page i understood to run the quality metrics i only need the sciB-python conda env . So i have installed this env and also installed the sciB package within this environment.
However now i am not sure how best to run the scib.metrics() function.
I have already run seurat integration on a dataset of interest and have the seurat object stored as an rds file.
I need some help on how to best use this object and how to now use the scib.metrics function to run the various quality metrics.
Thanks!
Devika

Hi Devika,
Our metrics function expects anndata objects as input, so you first need to convert your Seurat object. You can do this with the script scripts/runPost.py from the repo.
The simplest way to call the metrics function is to use the metrics script: scripts/metrics.py
If you only want to run the metrics, the env you installed is sufficient.
If you plan to evaluate several different methods it might be easier to use the snakemake pipeline.
Best,
Daniel

Hi Daniel @danielStrobl ,
I am also interested in the scIB package and the metrics function. I tried to install the package by conda env create -f scIB-R-conversion.yml and pip install -e .. It shows that the package is successfully installed Successfully installed scIB.
However,  there is an error when importing the module by  python -c "import scIB" in the terminal or scIB = import("scIB", convert=TRUE) in R.  Both of them displays "RuntimeError: found a situation in which we try to build a type recursively.  This is known to occur e.g. in ``struct s { void(*callable)(struct s); }''.  Please report if you get this error and really need support for your case.".
Do you have any idea on this error?   My system is "macOS Mojave" and the python environment is like "/Users/sj/opt/miniconda3/lib/python3.7/ "
Do you @deevdevil88 have such issue when installing the package?
Thanks,
Suoqin

Hi @danielStrobl
Thank you for getting back to me. For my current project i only want to evaluate the seurat integration method. in the future i would like to use the package to evaluate multiple methods.
Another question, are there any visualisation plots/notebooks for the various metrics that a user can plot out. What is the output of the the metrics.py script?
@sqjin  i havent yet tested running anything within the scIB-python conda env. But i will let you know if i encounter the same error. I tried creating the conda env with the yml file for my MacOS Catalina, but it wouldnt solve (even without the builds) so i installed it on the linux servers we have at work.
Thanks,
Devika

Hey Suoqin,
You could try to install this environment here: https://github.com/theislab/scib/pull/147, but note that this is still work in progress.
The old enviromnent has some issues and inconsistencies.
We also have a docker container here for much easier setup: https://github.com/danielStrobl/sct-docker

Hi @deevdevil88
The script returns a .csv file with all scores, each score has a value between 0 and 1.
For plotting, we have a script in R/vizualisation that was used to generate the overview figures  in the manuscript,
but I think it only makes sense to use this script if you have multiple methods to compare the score.

hi @danielStrobl
I see, in that case we can just put it as a supplementary table for the current manuscript. Thanks for your quick response.
For each of the different metrics, having higher values is better or does the trend differ depending on the metric?
Best,
Devika

hi @danielStrobl
I had a question in regards to the metrics.py script. im confused with the --integrated and --unintegrated options. Do i need two ANNdata objects? one with the integrated slot from seurat and one without?
Also for the runPost.py what should be the extension of the output file?
Devika

Hi,
yes you need two objects, one before and one after integration.
The extension for the output file should be .h5ad.
Daniel

Hi @danielStrobl
thanks!
one more question. Because Seurat as various assays and after integration we have an integration assay
should the after integration object only contain the expression matrices from the integration assay?
and the Pre-integration again contain  all expression matrices from only one of the seurat assays RNA or SCT?
if i only need one expression matrices from the relevant assay , then which one should it be for the quality metrics to work best, counts, log normalised data or scaled.data
Thanks
Devika

hi @danielStrobl
i tried running the runPost.oy script on a seurat object (rds file) containing only an integrated assay and got the following error
Traceback (most recent call last):
File "./scib/scripts/runPost.py", line 39, in
runPost(file, out, conos)
File "./scib/scripts/runPost.py", line 20, in runPost
adata = scIB.pp.readSeurat(inPath)
File "/ifs/research-groups/cncb/proj028/analyses/scib/scIB/preprocessing.py", line 470, in readSeurat
adata = ro.r('as.SingleCellExperiment(sobj)')
File "/ifs/research-groups/cncb/proj028/analyses/scib/envs/scib_conda/envs/scIB-python/lib/python3.7/site-packages/rpy2/robjects/init.py", line 389, in call
res = self.eval(p)
File "/ifs/research-groups/cncb/proj028/analyses/scib/envs/scib_conda/envs/scIB-python/lib/python3.7/site-packages/rpy2/robjects/functions.py", line 192, in call
.call(*args, **kwargs))
File "/ifs/research-groups/cncb/proj028/analyses/scib/envs/scib_conda/envs/scIB-python/lib/python3.7/site-packages/rpy2/robjects/functions.py", line 121, in call
res = super(Function, self).call(*new_args, **new_kwargs)
File "/ifs/research-groups/cncb/proj028/analyses/scib/envs/scib_conda/envs/scIB-python/lib/python3.7/site-packages/rpy2/rinterface_lib/conversion.py", line 28, in _
cdata = function(*args, **kwargs)
File "/ifs/research-groups/cncb/proj028/analyses/scib/envs/scib_conda/envs/scIB-python/lib/python3.7/site-packages/rpy2/rinterface.py", line 773, in call
raise embedded.RRuntimeError(_rinterface._geterrmessage())
rpy2.rinterface_lib.embedded.RRuntimeError: Error in .validate_names(rownames, ans_rownames, "assay rownames()", "rowData rownames() / rowRanges names()") :
assay rownames() must be NULL or identical to rowData rownames() /
rowRanges names()
`
the command i used after activating the scIB-python conda env was
python ./scib/scripts/runPost.py -i ./Aldinger_organoid_post_int.rds -o ./Aldinger_organoid_post_int.h5ad

For each of the different metrics, having higher values is better or does the trend differ depending on the metric?

Higher is always better :).

if i only need one expression matrices from the relevant assay , then which one should it be for the quality metrics to work best, counts, log normalised data or scaled.data

We have been assuming that scaling the data is part of the integration preprocessing rather than the general data format. So we have used log normalized data as unintegrated. The integrated object should then contain the integrated assay I guess.
Also, the error that you have is an R error that is caused by the call as.SingleCellExperiment(sobj) where sobj is your Seurat object. This is a Seurat call, so maybe it's better to report the error there. You could see if you have this error also when you just run the command in your normal Seurat environment.

Hi!
thank you for getting back to me. I got around the conversion to Anndata by using SeuratDisk to do the conversion before i use the metrics.py script. it seems to have read in my pre.integration and post.integration objects fine but then i got this error with the batch_key column
Traceback (most recent call last):
File "./scib/scripts/metrics.py", line 109, in
if not np.array_equal(adata.obs[batch_key].cat.categories,adata_int.obs[batch_key].cat.categories):
File "/ifs/research-groups/cncb/proj028/analyses/scib/envs/scib_conda/envs/scIB-python/lib/python3.7/site-packages/pandas/core/generic.py", line 5176, in getattr
return object.getattribute(self, name)
File "/ifs/research-groups/cncb/proj028/analyses/scib/envs/scib_conda/envs/scIB-python/lib/python3.7/site-packages/pandas/core/accessor.py", line 175, in get
accessor_obj = self._accessor(obj)
File "/ifs/research-groups/cncb/proj028/analyses/scib/envs/scib_conda/envs/scIB-python/lib/python3.7/site-packages/pandas/core/arrays/categorical.py", line 2593, in init
self._validate(data)
File "/ifs/research-groups/cncb/proj028/analyses/scib/envs/scib_conda/envs/scIB-python/lib/python3.7/site-packages/pandas/core/arrays/categorical.py", line 2603, in _validate
"Can only use .cat accessor with a " "'category' dtype"
AttributeError: Can only use .cat accessor with a 'category' dtype
now before i do the Seurat to AnnData object conversion, the batch_key column is a factor. Now i am not that familiar with python data types but i assume category dtype are similar to factors in R? would converting the column to a character type in R help? I am not sure what i can do to solve this. On googling this some of the post said its to do with old scanpy code.
thanks
Devika

Hey Suoqin,
You could try to install this environment here: #147, but note that this is still work in progress.
The old enviromnent has some issues and inconsistencies.
We also have a docker container here for much easier setup: https://github.com/danielStrobl/sct-docker

Thanks Daniel. Looking forward to the official release!  Below is the full error I get and hopefully it will help you address the issues.
`/Users/sj/opt/miniconda3/lib/python3.7/site-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.
import pandas.util.testing as tm
Traceback (most recent call last):
File "", line 1, in
File "/Users/sj/Documents/scib-master/scIB/init.py", line 2, in
from scIB import preprocessing, integration, metrics, clustering
File "/Users/sj/Documents/scib-master/scIB/preprocessing.py", line 8, in
import rpy2.rinterface_lib.callbacks
File "/Users/sj/opt/miniconda3/lib/python3.7/site-packages/rpy2/rinterface_lib/callbacks.py", line 11, in
from . import conversion
File "/Users/sj/opt/miniconda3/lib/python3.7/site-packages/rpy2/rinterface_lib/conversion.py", line 7, in
from . import openrlib
File "/Users/sj/opt/miniconda3/lib/python3.7/site-packages/rpy2/rinterface_lib/openrlib.py", line 43, in
_get_dataptr_fallback)
File "/Users/sj/opt/miniconda3/lib/python3.7/site-packages/rpy2/rinterface_lib/openrlib.py", line 28, in _get_symbol_or_fallback
res = getattr(rlib, symbol)
RuntimeError: found a situation in which we try to build a type recursively.  This is known to occur e.g. in ``struct s { void(*callable)(struct s); }''.  Please report if you get this error and really need support for your case.`

@sqjin @deevdevil88 Maybe these errors should have their own issue reports, as we are moving from the original post.
@sqjin: For the latter error, it's always helpful to google this. A quick search showed me you may just be missing one package which you can install via pip install cffi==1.12.3 as suggested here (https://github.com/Teichlab/cellphonedb/issues/126)

@deevdevil88 it looks like you just need to do something like adata.obs[batch_key] = adata.obs[batch_key].astype(category) as your batch variable has not yet been converted into a categorical. Please do report these issues separately from here on though, so they are easier to find for others who might run into the same thing.


Fix typo in experience

@Superari15   thanks for making your first contribution, I will be merging your Pull Request, also look at the issues so that you can get a chance to win a limited community Swag from me.
If you like the project and Repo please give it a star and Follow me on Github (would be appreciated)


Allow where: functionality to work on tests

Describe the feature
dbt specifies that you can add where: to a test to filter the results that you are testing on. I wanted to do this with your cool mock tool so I gave it a go.
You get an error
 Compilation Error in test dbt_datamocktool_xxxxx (models/gold/gold.yml)
12:12:58    'str object' has no attribute 'name'
12:12:58
12:12:58    > in macro get_unit_test_sql (macros/dmt_get_test_sql.sql)
12:12:58    > called by macro test_unit_test (macros/dmt_unit_test.sql)
12:12:58    > called by test dbt_datamocktool_unit_test_scorecard_results_orb

I've tracked this down to when you call model.name within get_unit_test_sql. This is because dbt replaces the "model" parameter with a string with the where clause applied, like so:
(select * from <Table> where <where_clause>) dbt_subquery
It no longer has a name attribute.
Describe alternatives you've considered
It could be possible to override this functionality to take a where_clause parameter instead and handle it differently within the code (so where: would still not work)
Would then need to modify the code to call audit_helper's compare_queries instead in this case, with the compare_model being SELECT <cols> from <mocked_table> WHERE <where_clause>.
I can't think of an alternative that wouldn't involve a PR.
Additional context
Is this feature database-specific? Which database(s) is/are relevant? Please include any other relevant context here.
I doubt it's DB specific, I am using Snowflake
Who will this benefit?
Anyone else who wants to only test certain results are present in the table we are mocking
Are you interested in contributing this feature?
Yes I could give this a go.

Good suggestion. I don't think it should be too hard, we just have to find the <Table> (model) in (select * from <Table> where <where_clause>) dbt_subquery, send that to get_unit_test_sql() and put it back in.
I'm curious, what's the use-case for adding a where clause in a unit test?

My experience with the native where-clause has sometimes been bad - especially when comparing two tables. It is impossible to access the where statement in the test macro! A common pattern is to use a parameter specifying the condition and implementing it yourself.
I am also curious of the use case for this since I myself has not felt the need for it in unit testing.


Improve document for key method parameter

From the documentation of this method, I understand that the value will be changed for the specified key, if the existing value is equal to the "comparisonValue" method argument.
The documentation for the "key" method parameter is misleading from my point of view:
"The key whose value is compared with comparisonValue and possibly replaced."
because the key is not compared to the comparisonValue method argument and the key can never be replaced/changed.

Document Details
⚠ Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.

ID: 7cba7d34-0782-643e-d8e3-88efd6834c2a
Version Independent ID: 10e03582-0975-4305-e650-839afcf82b24
Content: ConcurrentDictionary<TKey,TValue>.TryUpdate(TKey, TValue, TValue) Method (System.Collections.Concurrent)
Content Source: [xml/System.Collections.Concurrent/ConcurrentDictionary2.xml](https://github.com/dotnet/dotnet-api-docs/blob/master/xml/System.Collections.Concurrent/ConcurrentDictionary2.xml)
Product: .net
GitHub Login: @dotnet-bot
Microsoft Alias: dotnetcontent

@nicoleta-scrimint do you mean that the word value might be interpreted in two different ways here:

as the value of the element that has a given key
as the value of the key itself (in the sense of "value of a variable")?

Thank you for the clarification!


Use light/dark based on user preferences

Users that have their preferences set to prefer light mode will now get the Solarizaed Light theme rather than the Solarized Dark theme. There is no way to toggle between light and dark mode other than to change browser settings.

The lack of theme-color makes it default to black on Safari (even on light theme on the Mac), but I think it's fine. Its not a big deal and doesn't look bad.

I think there is something off with this functionality right now. At least for me on Safari, it flickers for a bit and then goes back to dark:
https://github.com/hyperjump-io/json-schema.hyperjump.io/assets/2192773/eb387186-a730-4ec6-8697-9d1ef839e9fd

@jviotti I think I solved the flicker as best is possible. Let me know if it works ok for you.

@jdesrosiers Thanks a lot! Works great on Firefox, but not on Safari (it always stays dark there), but it is enough for my use case. I'll take the screenshots on Firefox.


Improve readme file

Add docker-compose file sample along with existing readme file

Hi @snithyanantham. This action is awesome. I want to clarify that do i need to create multiple docker apps on heroku for the deployment ?


Update Layout

A batch of changes for now.
This that I need to fix/updated

Anchors are inconsistent. Navigation uses text color, contributors use orange, footer uses another blue shade. Same goes for the typefaces. I double people would like having that many fonts.
Figure how to work with withTheme from styled components so that we don't hardcode stuff - render functions throws an error.
Touchup the reserved for you CTA - it has an icon in zepplin that's not exportable
Used by section brought up a hotfix in rendition

Please don't review this PR just yet. I want to update to the latest designs & make some proper abstractions.

@jviotti 	Can you help me figure out this build error concerning the svg assets?

Checking... @dimitrisnl can you also move the assets directory inside lib/components/ so that its clear that they belong to the components and not the engine?

Sure @jviotti

@dimitrisnl Looks like the issue is that Ava is not using Babel correctly on the generator test files. Checking...

@dimitrisnl Can you extract the SVGs part into another PR, so we can merge this right away, and deal with the other one with a smaller diff? Ava + Babel + Webpack can get quite tricky, so lets not block this PR with that.

Looks like we can make this work like this:
diff --git a/scripts/babel-test-register.js b/scripts/babel-test-register.js
index e6c6b45..1fd50eb 100644
--- a/scripts/babel-test-register.js
+++ b/scripts/babel-test-register.js
@@ -14,6 +14,8 @@
  * limitations under the License.
  */

+const fs = require('fs')
+
 require('@babel/register')({
   presets: [
     [
@@ -27,3 +29,9 @@ require('@babel/register')({
     '@babel/preset-react'
   ]
 })
+
+require.extensions['.svg'] = (module, filename) => {
+  return fs.readFileSync(filename, {
+    encoding: 'utf8'
+  })
+}

It feels very hacky, but maybe good enough to unblock this PR and then try to figure out a better solution?

@jviotti 	Your solution is being marked as deprecated by the linter
'require.extensions' was deprecated since v0.12.0. Use compiling them ahead of time instead

@dimitrisnl I think you can add an exception. The Node.js docs say that this is discouraged, but that its not going to go away.

@balena-ci 	retest

@jviotti 	We're getting timeouts in the tests, any ideas?

@dimitrisnl How long is the site generation process taking?

hm @nazrhom 	Can you take a look at this build error?


Error: Missing Embedder and Options Not Displayed in 'Add Document

I have deployed Verba via Docker, and I can successfully access the frontend side. However, I've encountered an issue where no options are displayed in the "Add document" section. Upon inspecting the Docker logs, I've come across the following error message:
  File "/Verba/goldenverba/server/api.py", line 300, in get_components     config_manager.get_embedder(), embedders[config_manager.get_embedder()] KeyError: ''
Additionally, I've created my own .env file and have added only the Hugging Face API token.
Could you please help me understand why this error is occurring right after the initialization? Is there any crucial installation step that I might have missed?

Interesting! Thanks for the issue.
The FastAPI Service creates a config.json which it uses to cache selected components and their configuration. This is a bug, where the config saved an empty string as the embedder component, and now throws an KeyError. I will look into it and fix this! 🚀

Fixed the issue on the main branch, will be included in the coming release! 🚀  You can install from source by cloning the project and installing it via pip install -e .

@thomashacker I'm not sure if it has been fixed. I'm still encountering the same error but now the line number is different.
   File "/Users/hubciorz/Verba/goldenverba/server/api.py", line 294, in get_components
    config_manager.get_embedder(), embedders[config_manager.get_embedder()]
                                   ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
KeyError: ''

Im still getting this issue


Scope of keywords called in resource files is globally reinterpreted when resource file is imported

Given the following files (one for a test case and two for resources):
$ cat cases/case.robot
*** Settings ***

Resource    rc/SSHClient.robot
Resource    rc/TelnetClient.robot

*** Test Cases ***

My Test Case
    SSHClient.Log On
    TelnetClient.Log On

    SSHClient.Log Off
    TelnetClient.Log Off

$ cat rc/SSHClient.robot
*** Variables ***

${SERVER_IP}    <IP_ADDRESS>
${SERVER_USER}    guest
${SERVER_PASSWORD}   guest

*** Settings ***

Library    SSHLibrary

*** Keywords ***

Log On
    Open Connection    ${SERVER_IP}
    Login    ${SERVER_USER}    ${SERVER_PASSWORD}

Log Off
    Close Connection

$ cat rc/TelnetClient.robot
*** Variables ***

${SERVER_IP}    <IP_ADDRESS>
${SERVER_USER}    guest
${SERVER_PASSWORD}   guest

*** Settings ***

Library    Telnet

*** Keywords ***

Log On
    Open Connection    ${SERVER_IP}
    Login    ${SERVER_USER}    ${SERVER_PASSWORD}
    ...    login_prompt=Username:
    ...    password_prompt=Password:

Log Off
    Close Connection

When running case.robot this kind of warning appears:
[ WARN ] Keyword 'Open Connection' found both from a custom test library 'SSHLibrary' and a standard library 'Telnet'. The custom keyword is used. To select explicitly, and to get rid of this warning, use either 'SSHLibrary.Open Connection' or 'Telnet.Open Connection'.
[ WARN ] Keyword 'Login' found both from a custom test library 'SSHLibrary' and a standard library 'Telnet'. The custom keyword is used. To select explicitly, and to get rid of this warning, use either 'SSHLibrary.Login' or 'Telnet.Login'.
My Test Case

which seems to force us to prefix keywords in the resource files with the library name, even when they have imported only one library (with no name collision in the resource-file scope).
Should not be the scope of keywords called in resource files determined locally to the resource file? (at least, when they can be resolved in the resource-file scope as when we have been explicitly imported the corresponding library)
P.S.: I know that it is intended that keywords can be resolved at runtime to allow dynamically decide the implementation (I do not remember where I read about that behaviour though). However, this seems to hamper Robot framework keywords reusability, forcing us to work around by prefixing keywords, renaming them (globally unique...!), or implementing these keywords in a .py file (to be imported via Library). Please, you can also consult this resource example in the official user guide for additional evidences on how misleading is the current non-local scope resolution.

I agree resource files should only see keywords they import themselves, not keywords in other resource files or libraries imported in the test case file directly or indirectly. Unfortunately changing that is a big task and I cannot make promises when it would happen.
One possible workaround is using Set Library Search Order keyword to tell which library to use by default. You still need to prefix kws from the other library, though.

Any progress or estimations for now?

Hi! Joining this discussion, it'd be so appreciated to have this fixed in any future version! My code in one large project would be so much more fine and clear if there wouldn't be this limitation; and while it's there - I have to use a tricky workaround to avoid usage of these two libraries in the same project..
Thank you!

This is related to  #4366 that was fixed in RF 6.0. I hope we could get this fixed soon as well and assign this tentatively to RF 6.1 scope

Unfortunately it turned out this isn't as easy to implement as #4366 was. When there are two library keywords that match the keyword that was used, we could easily find out which user keyword used the conflicting keyword. Unfortunately that UserKeywordHandler object doesn't have a direct access to the resource file it belongs to. With some effort we could find the UserLibrary instance that contains that UserKeywordHandler, but that UserLibrary only contains keywords and doesn't know anything about imports. The actual ResourceFile object containing imports, keywords and variables isn't actually even preserved after it's processed.
With some enhancements to the aforementioned model objects we could make the resource file and its imports accessible via the user keyword that caused the conflict. Unfortunately these imports would just be a list of strings and we needed to somehow map them to libraries that have been imported. That gets even more complicated than anything earlier.
A proper way to fix this is pretty much re-implementing keyword namespaces so that keywords in resources or libraries imported in different resource files don't leak like this in the first place. That's a pretty big task, and I was hoping we could resolve conflict otherwise until we get it done. Unfortunately it seems also resolving conflicts is lot of work so it's probably best to wait until we can do the bigger rewrite.

Unfortunate too big for RF 7.


Should we use a library to get all id3 tags ?

If it allows us to get more data like album covers, lyrics... then why not?

With this library we can get all tags including album covers but where should we show the album cover ?


[web] mixpanel_flutter for web doesn't implement 'setServerURL'

Hey Guys,
We've a mobile app and will now make it a web app. We are using mixpanel flawlessly both in iOS and android using this package.
Our mixpanel project is in europe thus we need to call    _mixpanel.setServerURL('https://api-eu.mixpanel.com');. Is this something you could easily solve?
Thanks in advance!

Same problem here

@tgpsantos @sydneyagcaoili @hamirshekhawat this is fixed in v1.5.0

Thanks a bunch, @jaredmixpanel!
Btw, I noticed flush() is not implemented for web as well, so I went ahead and created a new issue)


Query with Non-nullable parameter for nullable predicate generates incorrect SQL in some situations

the following test:
        public override void Where_nullable_enum_with_non_nullable_parameter()
        {
            base.Where_nullable_enum_with_non_nullable_parameter();

            Assert.Equal(
                @"@__p_0: 1

SELECT [w].[Id], [w].[AmmunitionType], [w].[Name], [w].[OwnerFullName], [w].[SynergyWithId]
FROM [Weapon] AS [w]
WHERE [w].[AmmunitionType] = @__p_0",
                Sql);
        }

with base test:
        [Fact]
        public virtual void Where_nullable_enum_with_non_nullable_parameter()
        {
            var ammunitionType = AmmunitionType.Cartridge;

            using (var context = CreateContext())
            {
                var weapons = context.Weapons
                    .Where(w => w.AmmunitionType == ammunitionType)
                    .ToList();

                Assert.Equal(5, weapons.Count);
            }
        }

fails when running Build.cmd but does not appear to fail in VS (debugging with testdriven). Failures have been observed in both Desktop and Core, but seem to very depending on how the test is executed.

@mikary Is the generated SQL different when the test fails? If yes, what is the SQL?

yes, when the test fails the generated SQL looks like:
@__ammunitionType_0: Cartridge

SELECT [w].[Id], [w].[AmmunitionType], [w].[Name], [w].[OwnerFullName], [w].[SynergyWithId]
FROM [Weapon] AS [w]
WHERE [w].[AmmunitionType] = @__ammunitionType_0

To clarify, the SQL we generate is valid, it's just the assertion in the test that is broken

@mikary do we still have this issue? Is the test disabled?
cc @rowanmiller

@divega the test is still disabled but it appears to work consistently now when enabled.

Cool. Please go ahead and re-enable and close the issue. We can revisit if it starts failing again.

Re-enabled in #5408


Split p2 definitions into its own file

The p2 ts definitions were embedded into the phaser typescript file. This splits it into a separate file that the main phaser file references. This makes it consistent with the way PIXI's definition file is treated.

Good catch, it was pasted in there originally from my p2.d.ts repo which may be improved since it was included in phaser.  I will check it out if Rich accepts your PR.

If you're happy @clark-stevenson then I'm happy.

:+1:


Is it possible to retrain you model ?

Hi,
I was wondering if there is any method that would let us retrain this model using Pascal voc a notion files and images ???

yes ofcourse. Just use the skripts train.py and eval.py provided by Tensorflow's Object Detection API like you would with any other model.
In stuff/ssd_mobilenet_checkpoints you find the same checkpoint files i used, but they are the original ones provided by Tensorflow.

Thank you

Hi,
Just to clarify, I must train my Tensorflow Object Detection API only on 600x600px or 300x300px images in order for it to work with config file, and then place my trained ckpt file under stuff/ssd_mobilenet_checkpoints  and run your scripts as usual, is this correct?
Thanks so much.

Hey @uzbhutta,
I suggest you should first take a closer look at tensorflows original object detection API. Try to understand how training and inferencing works, which scripts are usable. And after that you take a look at my code and what it does.
To give you a short overview:
It does not matter what size your images have that you train on as if you train with tfs api they will always be resized to a fixed size which you set in the config file. And this size is normally 300x300 for SSD.
But you can ofcourse train a network on 600x600 if you like.
But then you won’t be able to use a pretrained model as starting point as the weights are bound to the input dimensions that you train on.
So while training you get several checkpoints in an interval that you also set in the config.
And finally when you want to use my api to do inference, then you need to export one of those checkpoint files to a frozen model in the pb format.
This frozen model can then be included in my api and Adressen correctly in my config.yml.
And another thing: make sure to use my checkpoint files as starting point as my speed hack, the split model + multithreading only works if your model has the exact same layer names as mine.
I hope i could clearify some things for you.
Cheers
Gustav

@GustavZ  where is your checkpoint file?

@David-Lee-1990
Which version of the model_zoo did you take? (which date is added at the end?)
As Tensorflow seems to have changed some layer names in the newer version than the one i used
(2017_11_17).
My checkpoint file is inside the model dir of ssd_mobilenet: https://github.com/GustavZ/realtime_object_detection/tree/master/models/ssd_mobilenet_v11_coco
With this checkpoint it should work, at least it did for my retrainings.
I hope i could help you!

Yes pretty sure.
There are so many changings during the version which lead to strange behavior and errors.
I also keep switching versions all the time when I face errors.
Try tf 1.4 that’s where I started this project.

tf 1.4 is not available for training tensorflow's object detection api now for the 'AttributeError: module 'tensorflow.contrib.data' has no attribute 'parallel_interleave'.
I tried tf 1.5 to retrain the model, but the result graph still has the node 'Preprocessor/map/TensorArray_2'.
This drives me crazy!

Hi @GustavZ,
First of all thanks for your work. It's really great.
However I have the same problem :/
`Traceback (most recent call last):
File "...\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\importer.py", line 489, in import_graph_def
graph._c_graph, serialized, options)  # pylint: disable=protected-access
tensorflow.python.framework.errors_impl.InvalidArgumentError: Node 'Preprocessor/map/TensorArray_2': Unknown input node 'Preprocessor/map/strided_slice'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "...\realtime_object_detection-2.0\run_objectdetection.py", line 178, in
config.NUM_CLASSES,config.SPLIT_MODEL, config.SSD_SHAPE).prepare_od_model()
File "...\realtime_object_detection-2.0\rod\model.py", line 157, in prepare_od_model
self.load_frozenmodel()
File "...\realtime_object_detection-2.0\rod\model.py", line 129, in load_frozenmodel
tf.import_graph_def(remove, name='')
File "...\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\util\deprecation.py", line 432, in new_func
return func(*args, **kwargs)
File "...\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\importer.py", line 493, in import_graph_def
raise ValueError(str(e))
ValueError: Node 'Preprocessor/map/TensorArray_2': Unknown input node 'Preprocessor/map/strided_slice'`
I have trained my model with tf 1.8, replaced your configuration and model by mines and tried a run.
The same issue occurs when I try a run with your release 1.0.
For information :

I runned object_detection.py on your release 1.0 and run_objectdetection.py on 2.0 : it worked with your default configuration.
I runned object_detection_tutorial (from object_detection) with my model and it worked.

Ok my bad, i turned off SPLIT_MODEL and it works now.

Dont use v2.0
Use master.
I will update that next week

@AnthonyLabaere  Hi, after turning on SPLIT_MODEL, your model works now?  ValueError: Node 'Preprocessor/map/TensorArray_2'  gone?

Again: the split_model speed hack will ONLY work with ssd_mobilenet_v1 Models that are exported from the exact same checkpoint that I used and published in /models.
Tensorflow and also the SSDMetaArch inside models/object_detection changes.
I have no insight on this as I am not working with ssd anymore.
If you want to apply the speed hack to those models you need to investigate by your own. Sorry.
But if you find a solution you are very welcome to contribute / file a PR.
Gustav

@GustavZ  ok, thanks!

@David-Lee-1990 I just succeeded to make it work on my computer (on Windows) and on my raspberry (with some updates) with my model.
And yes the issue with 'Preprocessor/map/TensorArray_2' is gone because this part concerns the GPU.
@GustavZ If I find a "real" solution I would make a PR but for now I didn't find anything :/ Ok I will use master i nthe future.

@AnthonyLabaere  is your model trained by tensorflow's object detection api?  what do you mean by saying ''Preprocessor/map/TensorArray_2' is gone because this part concerns the GPU'?
I check the frozen graph generated by tensorflow, and find after the node 'TensorArray_2' , the graph directly goes to Batch-NMS nodes without feature extraction.

@David-Lee-1990 yes it is trained by tensorflow's object detection api.
Well, concerning the 'Preprocessor/map/TensorArray_2', I spoke too fast. I don't know why the problem is gone sorry.
How do you see that ? With tensorboard ?

Hi,
Split model hack solution is only avaiable in ssd_mobilenet_v1 with 300x300.
'Preprocessor/map/TensorArray_2' that appears with 600x600 train image.
Set your ssd_mobilenet_v1_coco.config with 300x300 size.
    image_resizer {
      fixed_shape_resizer {
        height: 300
        width: 300
      }

See also:
https://github.com/tensorflow/models/issues/3270

@naisy Hi, have you tried this 300*300 config?  In fact, my config is set with 300 * 300 all the time, but there is still the error.

Hi @David-Lee-1990,
I check config now. config in master branch was changed.
Please use r1.5 branch for ssd_mobilenet_v1.
--- r1.5	2018-06-18 01:43:31.752331891 +0000
+++ master	2018-06-18 01:43:18.056376250 +0000
@@ -108,12 +108,10 @@
     loss {
       classification_loss {
         weighted_sigmoid {
-          anchorwise_output: true
         }
       }
       localization_loss {
         weighted_smooth_l1 {
-          anchorwise_output: true
         }
       }
       hard_example_miner {
@@ -193,5 +191,4 @@
   label_map_path: "PATH_TO_BE_CONFIGURED/mscoco_label_map.pbtxt"
   shuffle: false
   num_readers: 1
-  num_epochs: 1
 }

My own training is here:
https://github.com/naisy/train_ssd_mobilenet

@naisy  Thank you for your tips. Problem solved!


File sending

Is it possible to attach files along with messages? If not, some pointers on how that can be done, please.

Sorry there are no feature to attach file with message.
But you can develop it with your own procedure.


Missing files! [rand_same_class][rand_diff_class]

Hi there,
I tried to run

train_id_net_res_2stream_gan.m

however, it gave errors

Undefined function or variable 'rand_same_class'.

Could you kindly provide these two files, thanks in advance!

Hi @gddingcs
The 2-stream code is using the code of my another paper.
You may find the mentioned code in https://github.com/layumi/2016_person_re-ID
Sorry for that. I will make it clear in README.


Fix invoke pty error when running 'invoke superuser'

invoke superuser requires a proper TTY if asking for a password. Following the setup instructions for a new install results in the following error:

Superuser creation skipped due to not running in a TTY. You can run manage.py createsuperuser in your project to create one manually.

This PR fixes this.

Ah, great catch @bcc thanks :0


setting message_level has no effect after removing deprecated handlers

nvim --version: v0.5.0-dev+1097-g18f90336c
nvim-lsp version(commit hash): 1eb00d7c2ad2efadac85529eccc46f22986bf140
What language server (If the problem is related to a specific language server): using elixirls but it's a general issue
Can you reproduce this behavior on other language server clients (vscode, languageclient-neovim, coc.nvim, etc.): no
Can you reproduce this behavior on other language servers offered in the nvim-lspconfig repo? (pyls -> pyright): yes
Is the problem isolated to a particular language server: no
Operating system/version: macOS Big Sur

How to reproduce the problem from neovim startup
Use any language server config from lspconfig.
Set the message_level in the setup to warning or error.
Actual behaviour
Info messages are still shown when 'window/showMessage' callback is called.
Expected behaviour
Info messages shouldn't be shown if message_level is warning or error.
Expected cause
Recently a PR was merged (#509) that removed deprecated handlers. The code that was removed also removed the message_level check. I also checked the handlers in the neovim code and the 'window/showMessage' handler does not check the message_level but the 'window/logMessage' handler does check the log_level. Looks like this needs to be added to neovim (or message_level should be removed from lspconfig docs/code if this was intentional).

This was semi-intentional but I realize now it was a bit of an oversight.
@teto @tjdevries for things like this, having a namespace for lsp options would be useful. Otherwise, what we have to do is either
A) Wrap handlers to add options (see here)
B) Ask users to always wrap handlers in their own config, which is easy but there are probably some options (like this one) that should be supported

Personally I wouldn't mind doing the wrapping myself. It's really easy to do and it turned out that I needed to filter out specific messages anyway. Took only a few lines of code. Some messages are useful, some aren't. Filtering out all the info messages might not be that useful anyway. Removing message_level from the code and replacing it in the docs with a handler example would probably suffice. I don't know if there are other cases where another solution would be better.