HN user

fishbone

151 karma
Posts8
Comments42
View on HN

Ok, I dug into the Red Hat doc. It’s a great example and it uncovered a few real shortcomings.

A couple of things about this scenario:

First, the page relies on stylesheets, so you need styleSource: "computed", either Playwright on Node, or run in the browser with the content already rendered.

Second, dom-docx doesn’t fetch remote images itself. The caller supplies an imageResolver (e.g. a fetch callback), which keeps security, timeouts, host allowlists, etc. under caller control: https://dom-docx.com/learn#image-resolver

I fixed a few bugs from this (in 0.1.8):

- wide headings inside flex containers getting clipped

- oversized images not scaling down to the printable page width

- OS dark theme (prefers-color-scheme: dark) leaking near-white computed text colors into Word on the browser path

I also added an ad-hoc repo script that loads a live URL, takes a CSS selector, and converts with Playwright (tools/try-url.ts). I used it on the RHEL page and got a pretty decent 200+ page doc. Some tables still look wrong — I’ll dig into those next.

Script: https://github.com/floodtide/dom-docx/blob/main/tools/try-ur...

Example usage from a clone: npx tsx tools/try-url.ts \ "https://docs.redhat.com/en/documentation/red_hat_enterprise_..." \ ".docs-content-container" \ rhel-storage.docx

Thanks, and just to mention, I’ve had awesome results using Autoresearch loops on other things like SQL performance.

Prompt example:

You are a SQL performance researcher. Run the following SQL query to establish a baseline, then come up with hypotheses to improve performance. Score each result and run 5 iterations. Avoid any regressions, each result must contain the exact same rows and columns.

See https://github.com/karpathy/autoresearch

I don’t have MS word installed on my development machine, so I haven’t done much testing with Word, but that does sound like a good idea to run the suite using Word. For what it’s worth I did not notice any issues with LibreOffice, even after running many iterations and tests.

Hey HN, author here.

I do a lot of backend document (docx file) generation work, and updating our templates and backend code is one of my least favorite development tasks. Cryptic errors, minute-plus rebuild loops. I’d much prefer building these reports in JS rendered HTML (e.g., Vue or React), but existing HTML-to-docx libraries in the OSS ecosystem don't produce output that's actually valid, editable Word structure.

I'd had good luck applying Karpathy's Autoresearch pattern (agent runs iterations against an objective score, keeps what improves, discards what doesn't) to a couple of other problems, and figured OOXML fidelity was a good fit.

The Autoresearch process goes like this: render HTML and take a screenshot, use dom-docx to convert to docx, rasterize the docx file with LibreOffice and take another screenshot, score the browser HTML screenshot vs LibreOffice screenshot and measure layout fidelity + editability + speed as a quality metric, feed score back in, and repeat to drive higher fidelity within the constraints of editability and performance. It’s a beautiful thing to watch.

Burned some tokens and ran that loop against 37 real-world HTML patterns such as nested lists, tables, flex layouts and blockquotes (stuff that often breaks converters) and "brute forced" my way to what I hope is a high-fidelity HTML to docx converter.

A few things about where it landed:

- Native OOXML output, real Word structure, not a screenshot or a 1x1 table pretending to be a document - Works in Node, in the browser (no Playwright needed for the default path), and as a CLI (npx dom-docx input.html -o output.docx) - MIT licensed - Full benchmark methodology + results vs the established OSS alternatives: https://github.com/floodtide/dom-docx/blob/main/docs/BENCHMA...

Live demo if you want to test HTML conversion in the browser: https://dom-docx.com

Happy to answer anything about the scoring loop or anything else.

PS: This is the first thing I've open sourced and I'm excited to see where it leads!

Most of the DIY stuff I have seen involves putting the water directly in the chest freezer. Would need a much bigger chest freezer to fit in and I’m not crazy about the electrocution risk. I’m currently using the make a bunch of ice approach but it is cumbersome.

I work with Vue every day at my day job and I spent about 200 hours on the side building an online Svelte course. I really enjoyed the syntax and readability of .svelte files. Local dev environment was a great developer experience and the lack of boiler plate was nice coming from a Vue background.

I built an SPA with an Express backend and my biggest complaint was the lack of an official front end router. The community based router libraries had lots of issues and quirks and I didn’t want to lock into using Sapper at the time. Svelte itself was rock solid though and I look forward to trying Sveltekit (think Next.js for Svelte) in the future.

Anyway, here comes the shameless self promotion:

https://www.newline.co/courses/fullstack-svelte

Here’s a quote I like:

A human being should be able to change a diaper, plan an invasion, butcher a hog, conn a ship, design a building, write a sonnet, balance accounts, build a wall, set a bone, comfort the dying, take orders, give orders, cooperate, act alone, solve equations, analyse a new problem, pitch manure, program a computer, cook a tasty meal, fight efficiently, die gallantly. Specialization is for insects.

— Robert Heinlein, Time Enough for Love[1][2]

Good information, so we would have a Neural Net that takes a vaccine input and predicts the human (or animal) immune response, and another neural net that generates the vaccine inputs. I suppose the problem would be lack of labeled training data, which is why I was thinking about the chess example which works by simply knowing the rules of the game.

Location: South East US

Remote: yes

Willing to relocate: no

Technologies: 15 years of full stack web development - Go, Node, C#, Vue, React, SQL, Azure, GCP and many others

Resume: upon request

GitHub: https://github.com/freeman-g

Email: googerb at gmail

Certified Scrum Product Owner

Certified Open Group IT Specialist

Vue Docs Contributor

NOLS (National Outdoor Leadership School) Alumni

Willing to build you a sample project

Interested in a 30 hour, highly productive week

Thank you!

Location: South East US

Remote: yes

Willing to relocate: no

Technologies: 15 years of full stack web development - Go, Node, C#, Vue, React, SQL, Azure, GCP and many others

Resume: upon request

GitHub: https://github.com/freeman-g

Email: googerb at gmail

Certified Scrum Product Owner

Certified Open Group IT Specialist

Vue Docs Contributor

Willing to build you a sample project

Interested in 30 hour, highly productive week

Thank you!