vair.​nooi

The things I did the past few hours:

• Now it can track the item removal
• Created Dockerfile for container things
• Switch to APSchduler for cronjob (crawl FT Store).
• Restructure the project (follow the guide on FastAPI page)
• Wrote the test for this app, but it just for the user side. I’m looking for a way to actually test the webhook.

The app is basically worked new
But it can’t notify the item removal yet

I forgot to make devlogs so here is what I have done:

• Some simple user/auth endpoints
• Some simple Webhook endpoint

The idea of this project is very simple: Instead of manually pull data directly from FT Store, I will do that for you
There are two Webhook modes:

• compact only announce what changes
• full return the old item, new item and what changes

I still wondering should I submit this project here or in RaspAPI but maybe I’ll ship this here soon.
I’m very very very sorry for not making devlogs

I have set up a simple pipeline to build Docker image whenever I push the code
I also set up the production bot so you can test it

I wrote a simple CLI to let you setup the bot and run it.

I added DB and history command so users can review their old matchs

I added some basic guide for new player :D

Hello ,
This is a simple Discord bot built with Hikari, Arc, Miru that let you play blackjack with bot or with your friends. The rules used are a variant commonly played in southern Vietnam.
I have done the basic logic for a PvE game.
The to-do lists will include:

• Simple CLI to let you customize the card emoji
• Guides
• Add database to store games
• Maybe a simple economy system
• PvP (in next ship)

Sorry for not create much devlogs ;-;
I just push a new release and this is all of the updates:

Updates in this release

• Add Relationship list support. Now you can dump and load a list of relationship 🎉
• Add unloaded relationship handler in Deserializer
• Remove requirement of id field in model since the key_factory is here
• Add tests
• Update docs

Fixed bugs

• Fix infinite recursive call in Deserializer (through calling stack and linker mechanism)
• Remove __class field in relationship object
• Pass attr_to_key to Serializer in Redis client
• Ensure Redis client will load and dump data with JSON module
• Replace LostRef error with WhereIsMyRef
• Remove get_kwargs in Redis client

I have fixed a few bugs according to Copilot:

• Load and unload the data from Redis correctly (I forgot to put json.loads and json.dumps in some function )
• Pass attr_to_key to Serializer in Redis client
• Pass set_kwargs to set command
• Remove the requirement of id field in a model, used to create reference key, which is replaced with attr_to_key and key_factory.
• Add unloaded relationship to Deserializer (return None)
• Remove depth control in Deserializer
• And so more (look at the commit history below)

Atfer all, I think I need to sleep more because my brain is not braining now

I have fixed a few bugs related to Redis client. I also split the async function into separate class so it can run smoothly

I have split the db.py file into multiple smaller file for better code management

I added attr_to_key as another way to modify the reference key

I wrote the Readme and created to pipeline for release

I added Redis support, now it will push and pull the data directly to the Redis

I added self_ref mode
In this mode, instead of storing reference in a separate place, now it will be stored in itself. This could help in managing obj but will increase the size of the output

The deserializer is done

I have completed the Serializer part.
It handle Relationship by using reference. If it is not mentioned before, stores it into an object, if so, reference to it :D
It also help deserialize object by storing object class so it can reconstruct the object

I was trying to get the CICD pipeline work the last whole week ;-;
I also did some updates to this project too:

• Set up the CI/CD pipeline
• Created the README file
• Create the Releases

Added API part :D

I have done the CLI part. I switched to click for more easy-to-read code :D
I also restructure my code so I can publish it as a package

I have done the DB part
I also wrote the definition of the CLI

The audio part is also done :D
But the level 5 is kinda broken I guess

I have completed the text captcha.
I use pillow and numpy for this text generation
It has 5 level with increasing difficulty. As shown in the image below from left to right, from top to bottom, there are 5 levels in order.

Added stream mode to prevent timeout error (code 524)

I added resubmit button on the right corner so you dont have to copy and paste you essay manually :D
I also fix some bug and update the system prompt so the model will be stricter :D

I added retry (review again) and copy button so now you can retry if there is an error :D
I also fixed some issue related to UI.

The button will stack instead of stand next to each other on iPad and smaller device :D
I also made some small changes to the code too.

Added resposive UI for topic insertion :D

Added manual topic insertion.
Now you can use your own question

Added responsive UI for P1 review :D

Added new part 2 question type (flyer) :D
The improvement rate is kinda broken so I removed it ;-;

Added scroll bar :D
Hope I don’t get rejected this time ;-;

The HackAI is finally up ;-;

I have fixed several bug and added this screen to indicate whenever the AI provider is down :D

I have completed the README for the app and both Front-end and Back-end.
I also update the base_url so now it will accept all URL from OpenRouter compatible service.

The UI for P1 is complete :D (though it is still not responsive)

I just rework the whole database and its kinda tired because I fucked up sometime ;-;

The idea is:

• Topic will hold Questions
• Submission will hold Answers
• Review will hold Overall Review and Question Review
• Answers will be the answer for the Question
• Answer Review will be the review for the Answer

For simplicity, P2 and P3 review will be store in Overall Review table because the each topic just contains 1 question, unlike P1 have 5 questions per topic.

I added a color header to make the UI look a little bit colorful :D

P1 generation is complete. I also update the generator code so now p1, 2 and 3 will return a Pydantic object, include summary. I also add pre-generated theme :D

A few hours ago was kinda panik for me because a JSON formating error made me think that HC AI was down. By the way, this update creates a foundation for P1 topic generation. A few more implements and it will be ready 🎉

Add Suggestions for a better essay :D
I added suggestion on the backend side but forgot to devlog it D:

I just setup some CI/CD to automate the build process. And it is quite exhausted ;-;

I have completed the user endpoints, working on the entry one

I know this looks very silly, it does ;-;
This project is not to help me learn coding but to introduce me to the Traefik world :D
So I hope you enjoy this silly project

I just complete the base of the backend. I’m still wonder should I submit this to Homelab or Flavortown T^T.

The basic part is done. But at this moment, it only support P2 and P3. I’m planning to support the P1 too :D