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Manga Reader with Image Processor

13 devlogs
36h 0m 41s

This is a Manga Reader Project which try to store and cache image with multiple layer

This project uses AI

Use AI build frontend and test
(some function and config file help by ai)

Demo Repository

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Pikacnu

Fix bug that will cause when using in my envrionment
(like db won’t migrate or mail dir wont clone into image)
And Finally fix mail sending problem (only test registry and login)
(Attachment is ArgoCD screenshot, it took about 4~5 hours to find problem and fix it)
(Hope that there won’t any bug later…)
Btw image-processor won’t crash when db not migrated. Wired :/

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Pikacnu

Bug Fix: Email sending problem (Most cause by file content wrong)
Now it can send email to user. (With correct content)

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Pikacnu

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In this project, I tried to separate the processor from the frontend and used some specialized storage.
(Although it wasn’t mentioned in the write-up, I deployed a SeaweedFS instance.)
I also worked on other Kubernetes-related components, such as ingress and a multi-replica setup.
For caching, I implemented both cold storage and a hot cache. However, although the final design became quite complex, in practice it didn’t feel very usable.
This message was translated by AI because I’m not very good at English.

Pikacnu

add runner and check helm work(save to local registry).
(QEMU is for arm64 image building)

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Pikacnu

Fix bot bugs (which not test out before) and add a sample to upload books
Change Image Processer Logic (Now fileCahcer control files. It’s delete logic was separated in codespace)
Fix frontend and ImageProcesser Image Size Problem (Prevent the 0 or 0.5 width and default width for screen)
readme is generated by ai

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Pikacnu

Add Bot API Endpoint and simple bot function (you can add a bot to add books if you want)

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Pikacnu

fix book upload and fix search bar tags parse error.
let owner edit tags and make cover upload function.

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Pikacnu

add deployment things like docker-compose and k8s deployment and fix bug that image server can’t upload image and db can’t be setup problems.
it can be deployed to k8s cluster now. I think.
(btw though next server still can save image locally. but I will recommend use both image and next.js due to current version is target for that and don’t test for local storage)

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Pikacnu

Currently make image processing and upload work. Also changing reader to fit processer.
(Not done yet.)

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