libreddit/src/post.rs

178 lines
5.1 KiB
Rust

// CRATES
use crate::utils::*;
use actix_web::{HttpRequest, HttpResponse};
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,
}
pub async fn item(req: HttpRequest) -> HttpResponse {
// Build Reddit API path
let mut path: String = format!("{}.json?{}&raw_json=1", req.path(), req.query_string());
// 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.path(), req.query_string(), sort);
}
// Log the post ID being fetched in debug mode
#[cfg(debug_assertions)]
dbg!(req.match_info().get("id").unwrap_or(""));
// 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]).await;
// Use the Post and Comment structs to generate a website to show users
let s = PostTemplate {
comments,
post,
sort,
prefs: prefs(req),
}
.render()
.unwrap();
HttpResponse::Ok().content_type("text/html").body(s)
}
// If the Reddit API returns an error, exit and send error page to user
Err(msg) => error(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) = media(&post["data"]).await;
// Build a post using data parsed from Reddit post API
Post {
id: val(post, "id"),
title: val(post, "title"),
community: val(post, "subreddit"),
body: rewrite_url(&val(post, "selftext_html")),
author: Author {
name: val(post, "author"),
flair: Flair {
flair_parts: parse_rich_flair(
val(post, "author_flair_type"),
post["data"]["author_flair_richtext"].as_array(),
post["data"]["author_flair_text"].as_str(),
),
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,
thumbnail: format_url(val(post, "thumbnail").as_str()),
flair: Flair {
flair_parts: parse_rich_flair(
val(post, "link_flair_type"),
post["data"]["link_flair_richtext"].as_array(),
post["data"]["link_flair_text"].as_str(),
),
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),
},
media,
domain: val(post, "domain"),
rel_time,
created,
}
}
// COMMENTS
#[async_recursion]
async fn parse_comments(json: &serde_json::Value) -> 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 unix_time = comment["data"]["created_utc"].as_f64().unwrap_or_default();
if unix_time == 0.0 {
continue;
}
let (rel_time, created) = time(unix_time);
let score = comment["data"]["score"].as_i64().unwrap_or(0);
let body = rewrite_url(&val(&comment, "body_html"));
let replies: Vec<Comment> = if comment["data"]["replies"].is_object() {
parse_comments(&comment["data"]["replies"]).await
} else {
Vec::new()
};
comments.push(Comment {
id: val(&comment, "id"),
body,
author: Author {
name: val(&comment, "author"),
flair: Flair {
flair_parts: parse_rich_flair(
val(&comment, "author_flair_type"),
comment["data"]["author_flair_richtext"].as_array(),
comment["data"]["author_flair_text"].as_str(),
),
background_color: val(&comment, "author_flair_background_color"),
foreground_color: val(&comment, "author_flair_text_color"),
},
distinguished: val(&comment, "distinguished"),
},
score: format_num(score),
rel_time,
created,
replies,
});
}
comments
}