ecumene

(base) mitch@Mitchells-MacBook-Pro gaussian-splatting-kit % docker build .                                          
[+] Building 1331.2s (22/32)                                                                                                                                                                                                                  
[+] Building 4139.7s (23/32)                                                                                                                                                                                                                  
 => [internal] load build definition from Dockerfile                                                                                                                                                                                     0.0s
 => => transferring dockerfile: 4.46kB                                                                                                                                                         

ecumene

RUN apt-get install cron -y

COPY crontab /etc/cron.d/crontab

RUN crontab /etc/cron.d/crontab

COPY service_discovery.py $DAGSTER_HOME/service_discovery.py

ecumene

#[derive(Deserialize, Serialize)]
pub struct Markdown<T> {
    pub meta: T,
    pub content_markdown: String,
    pub content_html: String,
}

const FRONTMATTER_DELIMITER: &str = "---";

pub fn parse_frontmatter<'de, T>(post: &'de str) -> Result<(T, &'de str), toml::de::Error>

ecumene

use anyhow::{anyhow, Context, Result};
use bytes::Bytes;
use spin_sdk::{
    http::{Request, Response},
    http_component,
};
use std::path::Path;
use std::{fs::File, io::Read};

/// A Spin HTTP component that reads and returns a static asset.

ecumene

#[derive(Debug, Clone)]
struct BadCookie;
type CookieResult<T> = std::result::Result<T, BadCookie>;

#[derive(Debug)]
struct Cookies<'a> {
    cookies: HashMap<&'a str, &'a str>,
}

impl<'a> Cookies<'a> {

ecumene

import urllib, pyxhook, threading, json
totalchars = 0

minuteChar = []

def fileArray():
  urllib.urlretrieve("https://tmi.twitch.tv/group/user/ecumene/chatters", "data/chatters.json")
  global totalchars
  minuteChar.append(totalchars)
  with open('data/minuteChars.txt', 'w') as outfile: