Thoughts

Static Files - FastAPI FastAPI framework, high performance, easy to learn, fast to code, ready for production fastapi.tiangolo.com [1] Mounting static files in fastapi [2]. from fastapi import FastAPI from fastapi.staticfiles import StaticFiles app = FastAPI() app.mount("/static", StaticFiles(directory="static"), name="static") References: [1]: https://fastapi.tiangolo.com/tutorial/static-files/ [2]: /fastapi/

- Love the poling example with hx-trigger=‘every 1s’. References: [1]: /htmx/

First-class session support in FastAPI · Issue #754 · fastapi/fastapi Is your feature request related to a problem All of the security schemas currently supported by FastAPI rely on some sort of "client-server synergy" , where, for instance, the client is expected to... GitHub · github.com [1] Here is a snippet provided by @tiangolo to store the users jwt inside of a session cookie in fatapi. This was written in feb 12, 2020 and admits that this is not a well documented part of fastapi [2]. It’s already in place. More or less like the rest of the security tools. And it’s compatible with the rest of the parts, integrated with OpenAPI (as possible), but probably most importantly, with dependencies. It’s just not properly documented yet. 😞 But still, it works 🚀 e.g. from fastapi import FastAPI, Form, HTTPException, Depends from fastapi.security import APIKeyCookie from starlette.responses import Response, HTMLResponse from starlette import status from jose import jwt app = FastAPI() cookie_sec = APIKeyCookie(name="session") secret_key = "someactualsecret" users = {"dmontagu": {"password": "secret1"}, "tiangolo": {"password": "secret2"}} def get_current_user(session: str...

External Link duckdb.org [1] Harlequin is a pretty sweet example of what textual can be used to create. Its a terminal based sql ide for DuckDB. References: [1]: https://duckdb.org/docs/guides/sql_editors/harlequin

[1] To persist data in duckdb you need to first make a connection to a duck db database. con = duckdb.connect('file.db') Then work off of the connection con rather than duckdb. con.sql('CREATE TABLE test(i INTEGER)') con.sql('INSERT INTO test VALUES (42)') # query the table con.table('test').show() # explicitly close the connection con.close() References: [1]: /static/https://duckdb.org/docs/api/python/overview.html

Redirecting… duckdb.org [1] duckdb can just query any pandas dataframe that is in memory. I tried running it against a list of objects and got this error. Great error message that gives me supported types right in the message. Make sure that "posts" is either a pandas.DataFrame, duckdb.DuckDBPyRelation, pyarrow Table, Dataset, RecordBatchReader, Scanner, or NumPy ndarrays with supported format References: [1]: https://duckdb.org/docs/guides/python/sql_on_pandas

pytest-subtests unittest subTest() support and subtests fixture PyPI · pypi.org [1] pytest-subtests is a package to register multiple subtests within a similar test function. References: [1]: https://pypi.org/project/pytest-subtests/

A nice codepen reference for dark forms. I am using it for my thoughts chrome extension.

![[None]] When setting up a new machine, vm, docker image you might be installing command line tools from places like pip. They will often put executables in your ~/.local/bin directory, but by default your shell is not looking in that directory for commands. WARNING: The script dotenv is installed in '/home/falcon/.local/bin' which is not on PATH. Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. To solve this you need to add that directory to your $PATH. export PATH=$PATH:~/.local/bin To make this change permanant add this line to your shell’s init script, which is likely something like ~/.bashrc or ~/.zshrc.

GitHub - doyensec/wsrepl: WebSocket REPL for pentesters WebSocket REPL for pentesters. Contribute to doyensec/wsrepl development by creating an account on GitHub. GitHub · github.com [1] Very inspiring textual project to check out how they set up the ui. Their intro video has a pretty epic dev experience. References: [1]: https://github.com/doyensec/wsrepl

[1]https://t.co/km5m7k6Pb0 [1] #doyensec #appsec #websockets #burpsuite https://t.co/UVLymuSk95" [2] loading=“lazy”> Doyensec (@Doyensec) on X Announcing wsrepl, the WebSocket testing tool from Doyensec! This intuitive tool is super easy to use and makes automation around WebSockets simple! Check out our blog for the details and download… X (formerly Twitter) · twitter.com wsrepl is an epic websocket repl built in python on the textual framework. References: [1]: https://twitter.com/Doyensec/status/1681320727465672706 [2]: https://t.co/UVLymuSk95%22

Filter Data - WHERE - SQLModel SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. sqlmodel.tiangolo.com [1] When fetching pydantic models from the database with sqlmodel, and you cannot select your item by id, you probably need to use a where clause. This is the sqlmodel way of doing it. Here is a snippet of how I am using sqlmodel select and where to find a post by link in my thoughts database. @post_router.get("/link/") async def get_post_by_link( *, session: Session = Depends(get_session), link: str, ) -> PostRead: "get one post by link" link = urllib.parse.unquote(link) print(f'link: {link}') post = session.exec(select(Post).where(Post.link==link)).first() if not post: raise HTTPException(status_code=404, detail=f"Post not found for link: {link}") return post References: [1]: https://sqlmodel.tiangolo.com/tutorial/where/#filter-rows-using-where-with-sqlmodel

URL Decoding query strings or form parameters in Python | URLDecoder URL Decode online. URLDecoder is a simple and easy to use online tool for decoding URL components. Get started by typing or pasting a URL encoded string in the input text area, the tool will automa... urldecoder.io [1] In order to turn url encoded links back into links that I would find in the database of my thoughts project I need to urldecode them when they hit the api. When anything hits the api it must urlencode the links in order for them to be sent correctly as data and not get parsed as part of the url. Here is a snippet of how I am using urlib.parse.unquote to un-encode encoded urls so that I can fetch posts from the database. @post_router.get("/link/") async def get_post_by_link( *, session: Session = Depends(get_session), link: str, ) -> PostRead: "get one post by link" link = urllib.parse.unquote(link) print(f'link: {link}') post = session.exec(select(Post).where(Post.link==link)).first() if not post: raise HTTPException(status_code=404, detail=f"Post not found for link: {link}") return post References: [1]: https://www.urldecoder.io/python/

encodeURIComponent() - JavaScript | MDN The encodeURIComponent() function encodes a URI by replacing each instance of certain characters by one, two, three, or four escape sequences representing the UTF-8 encoding of the character (will ... MDN Web Docs · developer.mozilla.org [1] In order to send data that includes special characters such as / in a url you need to url encode it. You have probably seen these many times in urls with things like %20 for spaces. I’m working on a chrome extension to make quick blog posts, like thoughts or a persistent bookmark tool with comments. The backend is written in fastapi [2] and when I check to see if I have a post for a page I need to url encode it. curl -X 'GET' \ 'https://thoughts.waylonwalker.com/link/?link=https%3A%2F%2Fhtmx.org%2Fextensions%2Fclient-side-templates%2F' \ -H 'accept: application/json' curl example generated from the fastapi swagger docs. Here is how I used javascript’s encodeURIComponent to turn my chrome extension into a notification when I already have a post for the current page. // Event listener for tab changes chrome.tabs.onActivated.addListener(function (activeInfo) { // Get the active tab information ...

🛠️ Installation | LazyVim You can find a starter template for LazyVim here lazyvim.org [1] Lately in 2023 I have been leaning on lazyvim for my new setups where I am not necessarily ready to drop my full config. It’s been pretty solid, and comes with a very nice setup out of the box, the docs are pretty fantastic as well. References: [1]: https://www.lazyvim.org/installation

- Prime reviews an article with some hot takes about python being slow and quirky, but good enough for a lot of things. Especially data applications that have libraries written in C.

[1]https://t.co/m9r2KZjNQO" [1] loading=“lazy”> Changelog (@changelog) on X 🗣️ @kelseyhightower on his demos: That happy path gets people out of their chairs. They’re going back to the computer, like: “Yo, I’m gonna try it right now.” Come on… I’d rat… X (formerly Twitter) · twitter.com Such an inspiring clip from Kelsey Heightower. Make good shit that inspires people rather than fake ppts of how things could be. References: [1]: https://twitter.com/changelog/status/1681306857951084544

Chris Coyier (@chriscoyier) on X I was unaware of text-wrap: pretty; I knew about the (new/cool) text-wrap: balance; — but sometimes that's a bit… too much. I feel like it's nice on headers but not smaller type. Here's w… X (formerly Twitter) · twitter.com [1] Next time I’m working with large headers on small screens I need to try this. I always truggle to get them to look good for most text and overflow ridiculously long words correctly or at all. text-wrap: pretty; text-wrap: balance References: [1]: https://twitter.com/chriscoyier/status/1681407724993798144

Full-text search - Datasette documentation docs.datasette.io [1] Enable full-text search in sqlite using sqlite-utils. $ sqlite-utils enable-fts mydatabase.db items name description References: [1]: https://docs.datasette.io/en/latest/full_text_search.html#enabling-full-text-search-for-a-sqlite-table

sqlite-utils command-line tool - sqlite-utils sqlite-utils.datasette.io [1] I want to like jq, but I think Simon is selling me on sqlite, maybe its just me but this looks readable, hackable, editable, memorizable. Everytime I try jq, and its 5 minutes fussing with it just to get the most basic thing to work. I know enough sql out of the gate to make this work off the top of my head curl https://thoughts.waylonwalker.com/posts/ | sqlite-utils memory - 'select title, message from stdin where stdin.tags like "%python%"' | jq References: [1]: https://sqlite-utils.datasette.io/en/stable/cli.html#querying-data-directly-using-an-in-memory-database

sqlite-utils command-line tool - sqlite-utils sqlite-utils.datasette.io [1] insert a json array directly into into sqlite with sqlite-utils. echo '{"name": "Cleo", "age": 4}' | sqlite-utils insert dogs.db dogs - References: [1]: https://sqlite-utils.datasette.io/en/stable/cli.html#inserting-json-data

LZone LZone - Cheat Sheets for Sysadmin / DevOps / System Architecture lzone.de [1] A nice cheat sheet for jq. jq looks so nice, but it so quickly gets overwhelming on how to select what you want. I was able to make a jq contains query. curl https://thoughts.waylonwalker.com/posts/ | jq '.[] | select(.title | contains("python"))' References: [1]: https://lzone.de/cheat-sheet/jq