libreddit/src/post.rs

216 lines
6.7 KiB
Rust

// CRATES
use crate::esc;
use crate::utils::{
cookie, error, format_num, format_url, param, request, rewrite_urls, template, time, val, Author, Comment, Flags, Flair, FlairPart, Media, Post, Preferences,
};
use tide::Request;
use async_recursion::async_recursion;
use askama::Template;
// STRUCTS
#[derive(Template)]
#[template(path = "post.html", escape = "none")]
struct PostTemplate {
comments: Vec<Comment>,
post: Post,
sort: String,
prefs: Preferences,
single_thread: bool,
}
pub async fn item(req: Request<()>) -> tide::Result {
// Build Reddit API path
let mut path: String = format!("{}.json?{}&raw_json=1", req.url().path(), req.url().query().unwrap_or_default());
// Set sort to sort query parameter
let mut sort: String = param(&path, "sort");
// Grab default comment sort method from Cookies
let default_sort = cookie(&req, "comment_sort");
// If there's no sort query but there's a default sort, set sort to default_sort
if sort.is_empty() && !default_sort.is_empty() {
sort = default_sort;
path = format!("{}.json?{}&sort={}&raw_json=1", req.url().path(), req.url().query().unwrap_or_default(), sort);
}
// Log the post ID being fetched in debug mode
#[cfg(debug_assertions)]
dbg!(req.param("id").unwrap_or(""));
let single_thread = &req.param("comment_id").is_ok();
let highlighted_comment = &req.param("comment_id").unwrap_or_default();
// Send a request to the url, receive JSON in response
match request(path).await {
// Otherwise, grab the JSON output from the request
Ok(res) => {
// Parse the JSON into Post and Comment structs
let post = parse_post(&res[0]).await;
let comments = parse_comments(&res[1], &post.permalink, &post.author.name, *highlighted_comment).await;
// Use the Post and Comment structs to generate a website to show users
template(PostTemplate {
comments,
post,
sort,
prefs: Preferences::new(req),
single_thread: *single_thread,
})
}
// If the Reddit API returns an error, exit and send error page to user
Err(msg) => error(req, msg).await,
}
}
// POSTS
async fn parse_post(json: &serde_json::Value) -> Post {
// Retrieve post (as opposed to comments) from JSON
let post: &serde_json::Value = &json["data"]["children"][0];
// Grab UTC time as unix timestamp
let (rel_time, created) = time(post["data"]["created_utc"].as_f64().unwrap_or_default());
// Parse post score and upvote ratio
let score = post["data"]["score"].as_i64().unwrap_or_default();
let ratio: f64 = post["data"]["upvote_ratio"].as_f64().unwrap_or(1.0) * 100.0;
// Determine the type of media along with the media URL
let (post_type, media, gallery) = Media::parse(&post["data"]).await;
// Build a post using data parsed from Reddit post API
Post {
id: val(post, "id"),
title: esc!(post, "title"),
community: val(post, "subreddit"),
body: rewrite_urls(&val(post, "selftext_html")).replace("\\", ""),
author: Author {
name: val(post, "author"),
flair: Flair {
flair_parts: FlairPart::parse(
post["data"]["author_flair_type"].as_str().unwrap_or_default(),
post["data"]["author_flair_richtext"].as_array(),
post["data"]["author_flair_text"].as_str(),
),
text: esc!(post, "link_flair_text"),
background_color: val(post, "author_flair_background_color"),
foreground_color: val(post, "author_flair_text_color"),
},
distinguished: val(post, "distinguished"),
},
permalink: val(post, "permalink"),
score: format_num(score),
upvote_ratio: ratio as i64,
post_type,
media,
thumbnail: Media {
url: format_url(val(post, "thumbnail").as_str()),
width: post["data"]["thumbnail_width"].as_i64().unwrap_or_default(),
height: post["data"]["thumbnail_height"].as_i64().unwrap_or_default(),
poster: "".to_string(),
},
flair: Flair {
flair_parts: FlairPart::parse(
post["data"]["link_flair_type"].as_str().unwrap_or_default(),
post["data"]["link_flair_richtext"].as_array(),
post["data"]["link_flair_text"].as_str(),
),
text: esc!(post, "link_flair_text"),
background_color: val(post, "link_flair_background_color"),
foreground_color: if val(post, "link_flair_text_color") == "dark" {
"black".to_string()
} else {
"white".to_string()
},
},
flags: Flags {
nsfw: post["data"]["over_18"].as_bool().unwrap_or(false),
stickied: post["data"]["stickied"].as_bool().unwrap_or(false),
},
domain: val(post, "domain"),
rel_time,
created,
comments: format_num(post["data"]["num_comments"].as_i64().unwrap_or_default()),
gallery,
}
}
// COMMENTS
#[async_recursion]
async fn parse_comments(json: &serde_json::Value, post_link: &str, post_author: &str, highlighted_comment: &str) -> Vec<Comment> {
// Separate the comment JSON into a Vector of comments
let comment_data = match json["data"]["children"].as_array() {
Some(f) => f.to_owned(),
None => Vec::new(),
};
let mut comments: Vec<Comment> = Vec::new();
// For each comment, retrieve the values to build a Comment object
for comment in comment_data {
let kind = comment["kind"].as_str().unwrap_or_default().to_string();
let data = &comment["data"];
let unix_time = data["created_utc"].as_f64().unwrap_or_default();
let (rel_time, created) = time(unix_time);
let edited = match data["edited"].as_f64() {
Some(stamp) => time(stamp),
None => (String::new(), String::new()),
};
let score = data["score"].as_i64().unwrap_or(0);
let body = rewrite_urls(&val(&comment, "body_html"));
// If this comment contains replies, handle those too
let replies: Vec<Comment> = if data["replies"].is_object() {
parse_comments(&data["replies"], post_link, post_author, highlighted_comment).await
} else {
Vec::new()
};
let parent_kind_and_id = val(&comment, "parent_id");
let parent_info = parent_kind_and_id.split('_').collect::<Vec<&str>>();
let id = val(&comment, "id");
let highlighted = id == highlighted_comment;
comments.push(Comment {
id,
kind,
parent_id: parent_info[1].to_string(),
parent_kind: parent_info[0].to_string(),
post_link: post_link.to_string(),
post_author: post_author.to_string(),
body,
author: Author {
name: val(&comment, "author"),
flair: Flair {
flair_parts: FlairPart::parse(
data["author_flair_type"].as_str().unwrap_or_default(),
data["author_flair_richtext"].as_array(),
data["author_flair_text"].as_str(),
),
text: esc!(&comment, "link_flair_text"),
background_color: val(&comment, "author_flair_background_color"),
foreground_color: val(&comment, "author_flair_text_color"),
},
distinguished: val(&comment, "distinguished"),
},
score: if data["score_hidden"].as_bool().unwrap_or_default() {
"\u{2022}".to_string()
} else {
format_num(score)
},
rel_time,
created,
edited,
replies,
highlighted,
});
}
comments
}