webclaw/crates/webclaw-server/src/routes/extract.rs

82 lines
2.6 KiB
Rust

//! POST /v1/extract — LLM-powered structured extraction.
//!
//! Two modes:
//! * `schema` — JSON Schema describing what to extract.
//! * `prompt` — natural-language instructions.
//!
//! At least one must be provided. The provider chain is built per
//! request from env (Ollama -> OpenAI -> Anthropic). Self-hosters
//! get the same fallback behaviour as the CLI.
use axum::{Json, extract::State};
use serde::Deserialize;
use serde_json::{Value, json};
use webclaw_llm::{ProviderChain, extract::extract_json, extract::extract_with_prompt};
use crate::{error::ApiError, state::AppState};
#[derive(Debug, Deserialize, Default)]
#[serde(default)]
pub struct ExtractRequest {
pub url: String,
pub schema: Option<Value>,
pub prompt: Option<String>,
/// Optional override of the provider model name (e.g. `gpt-4o-mini`).
pub model: Option<String>,
}
pub async fn extract(
State(state): State<AppState>,
Json(req): Json<ExtractRequest>,
) -> Result<Json<Value>, ApiError> {
if req.url.trim().is_empty() {
return Err(ApiError::bad_request("`url` is required"));
}
let has_schema = req.schema.is_some();
let has_prompt = req
.prompt
.as_deref()
.map(|p| !p.trim().is_empty())
.unwrap_or(false);
if !has_schema && !has_prompt {
return Err(ApiError::bad_request(
"either `schema` or `prompt` is required",
));
}
let url = webclaw_fetch::url_security::validate_public_http_url(&req.url).await?;
// Fetch + extract first so we feed the LLM clean markdown instead of
// raw HTML. Cheaper tokens, better signal.
let extraction = state.fetch().fetch_and_extract(url.as_str()).await?;
let content = if extraction.content.markdown.trim().is_empty() {
extraction.content.plain_text.clone()
} else {
extraction.content.markdown.clone()
};
if content.trim().is_empty() {
return Err(ApiError::Extract(
"no extractable content on page".to_string(),
));
}
let chain = ProviderChain::default().await;
if chain.is_empty() {
return Err(ApiError::Llm(
"no LLM providers configured (set OLLAMA_HOST, OPENAI_API_KEY, or ANTHROPIC_API_KEY)"
.to_string(),
));
}
let model = req.model.as_deref();
let data = if let Some(schema) = req.schema.as_ref() {
extract_json(&content, schema, &chain, model).await?
} else {
let prompt = req.prompt.as_deref().unwrap_or_default();
extract_with_prompt(&content, prompt, &chain, model).await?
};
Ok(Json(json!({
"url": req.url,
"data": data,
})))
}