Latte VS sql.js-httpvfs

Have a look at Latte. It gives you a template engine that looks and feels a lot like PHP itself, rather than being a port of Python.

FTLOG, use a template engine. Do NOT use PHP itself as a template engine (ironic given its origins). The best are probably Twig (https://twig.symfony.com/) (used by Symfony and a few others) and Latte (https://latte.nette.org/) (less widely used, but its syntax is *way* more learnable as it's more like PHP itself).

You may have already used some of Nette's tools in other projects you've worked on and not known it! There is the very extendable Tracy for debugging similar to Whoosh, and Latte for intuitive HTML templating.

The target of the project is that more libraries / modules allow to use any Template engines the project want and see the more a as data provider. Also this kind of abstraction should make libraries e.g. a async mailer easier be integrated into different frameworks. A common usecase for myself is that Sulu CMS does not only support Twig but also other Template engines like example Latte which has interesting concept context aware escaping.

Nette is a PHP framework made by David Grudl and it is a great alternative to Symfony and Laravel. It has an amazing templating system called Latte that uses similar syntax to PHP and by default has context-sensitive escaping (which no other framework has). In my opinion, it is easier to learn, because it comes with a simple structure by default, it has no dependencies and less patterns to learn.

In the template file, we passed a variable called project containing a value into the extracted string mentioned before. All of this is done using an array as a second argument of the underscore tag notation. This is how this pairing works using latte templating engine and NEON. We've also used the noescape filter, which disables automatic escaping so the HTML tags are actually rendered and not printed as a text.

I'd heard great things about Timber, how do you like to use it? I recently wanted to add some templating to a WP2Static addon and went with Latte, I believe my reasoning at the time was for better PHPStan/static analysis support - I'm definitely not a power user of it, just simple templating for now.

I couldn't find do these wrappers support read-only SQLite databases with HTTP range requests, like in this famous post [1]. Phiresky's wrapper supports it, but it seems to be rebuilding the whole sql.js [2], I'd rather have it as VFS on top of sqlite.org's own WASM module. I like the idea of HTTP range requests, but I don't want to run a fork, that will be unmaintained in few years.

[1]: https://news.ycombinator.com/item?id=27016630

[2]: https://github.com/phiresky/sql.js-httpvfs

Oh that’s an interesting idea. I saw someone built SQLite over HTTP with the Range header: https://phiresky.github.io/blog/2021/hosting-sqlite-database...

So presumably in a similar manner as https://github.com/phiresky/sql.js-httpvfs you could map SQLite pages to leaf torrents too and get the chunking you are looking for.

But ripgrep has to read the whole file; if your intended use case is searching a blog, I'd recommend using something which makes an index, so you don't need to download everything. For example, sql.js-httpvfs is SQLite ported to wasm, with the DB file read over HTTP. If you use FTS to make an index, it works astonishingly well for text search.

How close is Python SQLite and Datasette Lite to accessing a hosted SQL database using HTTP range requests as can be done in sql.js like https://github.com/phiresky/sql.js-httpvfs?

I put together a Pyodide-based web app where users need a few indexed queries from a 600mb SQLite database but it isn't very practical for them to download the whole thing into the browser.

https://observablehq.com/@thadk/life

You can also access sqlite databases directly from an http server that supports range requests (like s3). There are a bunch of implementations of this in different languages including Go[0] and Javascript[1].

[0]: https://github.com/psanford/sqlite3vfshttp

[1]: https://github.com/phiresky/sql.js-httpvfs

Thanks to SQLite VFS abstraction, it is possible to implement your own file system on which SQLite parks data and structures. Inspired by Phiresky's sql.js-httpvfs which uses HTTP Range requests to lazy load blocks of storage from a static web server, I changed few lines of code to point the VFS read() calls to a database seeded by peers as a torrent. A 300 MiB db with 2 million records can be queried from seeders for full text searches in less than 2 MiB traffic with the BitTorrent protocol, all inside the browser, in a static website.

Hosting SQLite Databases on GitHub Pages" https://news.ycombinator.com/item?id=28021766 : DuckDB can query [and page] Parquet from GitHub, sql.js-httpvfs, sqltorrent, File System Access API (Chrome only so far; IDK about resource quotas and multi-GB datasets), serverless search with WASM workers

https://github.com/phiresky/sql.js-httpvfs :

> sql.js is a light wrapper around SQLite compiled with EMScripten for use in the browser (client-side).

> This repo is a fork of and wrapper around sql.js to provide a read-only HTTP-Range-request based virtual file system for SQLite. It allows hosting an SQLite database on a static file hoster and querying that database from the browser without fully downloading it.

> The virtual file system is an emscripten filesystem with some "smart" logic to accelerate fetching with virtual read heads that speed up when sequential data is fetched. It could also be useful to other applications, the code is in lazyFile.ts. It might also be useful to implement this lazy fetching as an SQLite VFS [*] since then SQLite could be compiled with e.g. WASI SDK without relying on all the emscripten OS emulation.

It doesn't have to be range requests, you could split the file instead of depending on the range requests. Essentially it's the same as the chunking instructions for hosters who have a maximum file size as is demonstrated here: https://github.com/phiresky/sql.js-httpvfs/blob/master/creat...