maxheadroom/image-helper-wordpress
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first properly working Version

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Falko Zurell 2024-11-18 22:50:48 +01:00
parent 366c4c1660
commit 19c8a93412
3 changed files with 129 additions and 129 deletions
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17
.env.example
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@ -1,9 +1,8 @@
# OpenAPI API
OPENAI_API_KEY=your_openai_api_key
OPENAI_API_URL=https://api.openai.com/v1/images/generate-description # Update this to the actual endpoint
OPENAI_MODEL=gpt-4-vision # Update to the model you want to use
# WordPress API
WP_URL=https://yourwordpresssite.com
WP_USERNAME=your_wp_username
WP_PASSWORD=your_wp_application_password
#WordPress API
WP_URL=https://your.wordpress.com
WP_USERNAME=username
WP_APP_PASSWORD="ApplicationPassword"
# OpenAI API
OPENAI_API_KEY="SecretApplicationKey"
OPENAI_API_URL=https://api.openai.com/v1/chat/completions
OPENAI_MODEL=gpt-4o

10
Cargo.toml
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@ -2,11 +2,9 @@
name = "image_wp_uploader"
version = "0.1.0"
edition = "2021"
[dependencies]
tokio = { version = "1", features = ["full"] }
reqwest = { version = "0.11", features = ["json"] }
serde = { version = "1.0", features = ["derive"] }
tokio = { version = "1.0", features = ["full"] }
reqwest = { version = "0.11", features = ["json", "multipart"] }
dotenv = "0.15"
serde_json = "1.0"
dotenvy = "0.15"
base64 = "0.21" # Use the latest version of the crate
base64 = "0.21"

229
src/main.rs
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@ -1,155 +1,158 @@
use dotenv::dotenv;
use reqwest::{self, multipart};
use serde_json::{json, Value};
use std::env;
use std::fs::File;
use std::io::Read;
use base64::engine::general_purpose::STANDARD;
use base64::Engine; // Import the Engine trait
use reqwest::Client;
use serde_json::Value;
use std::error::Error;
use std::path::Path;
use tokio;
use base64::{Engine as _, engine::general_purpose::STANDARD};
#[derive(Debug)]
struct Config {
wp_url: String,
wp_username: String,
wp_password: String,
openai_api_url: String,
wp_app_password: String,
openai_api_key: String,
openai_api_url: String,
openai_model: String,
}
async fn generate_description(config: &Config, image_data: &[u8]) -> Result<String, Box<dyn std::error::Error>> {
let client = Client::new();
impl Config {
fn from_env() -> Result<Self, Box<dyn Error>> {
dotenv()?;
// Encode the image data in base64 using STANDARD engine
let encoded_image = STANDARD.encode(image_data);
Ok(Config {
wp_url: env::var("WP_URL")?,
wp_username: env::var("WP_USERNAME")?,
wp_app_password: env::var("WP_APP_PASSWORD")?,
openai_api_key: env::var("OPENAI_API_KEY")?,
openai_api_url: env::var("OPENAI_API_URL")?,
openai_model: env::var("OPENAI_MODEL")?,
})
}
}
// Call OpenAI API with gpt-4-turbo
#[tokio::main]
async fn main() -> Result<(), Box<dyn Error>> {
// Get image path from command line arguments
let args: Vec<String> = std::env::args().collect();
if args.len() != 2 {
eprintln!("Usage: {} <image_path>", args[0]);
std::process::exit(1);
}
let image_path = &args[1];
// Load configuration
let config = Config::from_env()?;
// Get image description from ChatGPT
let description = get_image_description(&config, image_path).await?;
println!("Generated description: {}", description);
// Upload image to WordPress and set ALT text
upload_to_wordpress(&config, image_path, &description).await?;
Ok(())
}
async fn get_image_description(config: &Config, image_path: &str) -> Result<String, Box<dyn Error>> {
// Read and encode image
let image_data = std::fs::read(image_path)?;
let base64_image = STANDARD.encode(&image_data);
// Create ChatGPT API request
let client = reqwest::Client::new();
let response = client
.post(&config.openai_api_url)
.header("Authorization", format!("Bearer {}", config.openai_api_key))
.json(&serde_json::json!({
"model": config.openai_model,
.header("Content-Type", "application/json")
.json(&json!({
"model": config.openai_model, // Now using the model from config
"max_tokens": 300,
"messages": [
{
"role": "system",
"content": "You are an AI assistant that describes images for blog posts."
},
{
"role": "user",
"content": "Describe the content of this image.",
"image": encoded_image
"content": [
{
"type": "text",
"text": "Please describe this image concisely for use as an alt text description. Focus on key visual elements and context."
},
{
"type": "image_url",
"image_url": {
"url": format!("data:image/jpeg;base64,{}", base64_image)
}
}
]
}
]
}))
.send()
.await?;
let response_text = response.text().await?;
let json: Value = serde_json::from_str(&response_text)?;
// Improved error handling for API response
if !response.status().is_success() {
let error_text = response.text().await?;
return Err(format!("OpenAI API error: {}", error_text).into());
}
// Safely extract the description
let description = json["choices"]
let result: Value = response.json().await?;
// More detailed error handling for JSON parsing
let description = result["choices"]
.get(0)
.and_then(|choice| choice["message"]["content"].as_str())
.unwrap_or("No description generated")
.ok_or("No choices in response")?
["message"]["content"]
.as_str()
.ok_or("Invalid content format in response")?
.to_string();
Ok(description)
}
async fn upload_to_wordpress(
wp_url: &str,
wp_username: &str,
wp_password: &str,
image_data: &[u8],
filename: &str,
config: &Config,
image_path: &str,
description: &str,
) -> Result<(), Box<dyn std::error::Error>> {
let client = Client::new();
) -> Result<(), Box<dyn Error>> {
let client = reqwest::Client::new();
let file_data = tokio::fs::read(image_path).await?;
let filename = Path::new(image_path)
.file_name()
.ok_or("Invalid filename")?
.to_str()
.ok_or("Invalid UTF-8 in filename")?;
// Encode the authentication string using base64::engine
let auth = STANDARD.encode(format!("{}:{}", wp_username, wp_password));
// Create form with image file
let part = multipart::Part::bytes(file_data)
.file_name(filename.to_string())
.mime_str("image/jpeg")?;
// Upload image to WordPress
let form = multipart::Form::new()
.part("file", part)
.text("alt_text", description.to_string())
.text("description", description.to_string());
// Upload to WordPress
let response = client
.post(format!("{}/wp-json/wp/v2/media", wp_url))
.header("Authorization", format!("Basic {}", auth))
.header("Content-Disposition", format!("attachment; filename=\"{}\"", filename))
.body(image_data.to_vec())
.post(format!("{}/wp-json/wp/v2/media", config.wp_url))
.basic_auth(&config.wp_username, Some(&config.wp_app_password))
.multipart(form)
.send()
.await?;
let response_text = response.text().await?;
// Deserialize the response as a JSON object (Value)
let json: Value = serde_json::from_str(&response_text)?;
// Safely extract the media_id from the response
let media_id = json["id"]
.as_i64()
.unwrap_or(0) as i32;
// Create a post with the image and description
client
.post(format!("{}/wp-json/wp/v2/posts", wp_url))
.header("Authorization", format!("Basic {}", auth))
.json(&serde_json::json!({
"title": filename,
"content": description,
"status": "publish",
"featured_media": media_id,
}))
.send()
.await?;
let status = response.status();
if status.is_success() {
let response_json: Value = response.json().await?;
println!("Successfully uploaded image to WordPress with description");
if let Some(url) = response_json["source_url"].as_str() {
println!("Image URL: {}", url);
}
} else {
let error_text = response.text().await?;
println!("Failed to upload image: {}", status);
println!("Response: {}", error_text);
}
Ok(())
}
async fn process_image(config: &Config, image_path: &str) -> Result<(), Box<dyn std::error::Error>> {
// Read the image file
let mut file = File::open(image_path)?;
let mut image_data = Vec::new();
file.read_to_end(&mut image_data)?;
// Generate description from OpenAI
let description = generate_description(config, &image_data).await?;
// Upload image and create WordPress post
let filename = image_path.split('/').last().unwrap_or("image");
upload_to_wordpress(
&config.wp_url,
&config.wp_username,
&config.wp_password,
&image_data,
filename,
&description,
).await?;
Ok(())
}
#[tokio::main]
async fn main() {
// Read command-line arguments
let args: Vec<String> = env::args().collect();
if args.len() < 2 {
eprintln!("Usage: {} <path_to_image>", args[0]);
return;
}
let image_path = &args[1];
// Load configuration from .env or configuration file
let config = Config {
wp_url: "https://falko.zurell.de".to_string(),
wp_username: "falko".to_string(),
wp_password: "G6FI qmWi OG1M vXqP 1p5j rDDS".to_string(),
openai_api_url: "https://api.openai.com/v1/chat/completions".to_string(),
openai_api_key: "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".to_string(),
openai_model: "gpt-4.0".to_string(),
};
if let Err(e) = process_image(&config, image_path).await {
eprintln!("Error processing image: {}", e);
}
}