mirror of
https://github.com/0xMassi/webclaw.git
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82 lines
2.6 KiB
Rust
82 lines
2.6 KiB
Rust
//! POST /v1/extract — LLM-powered structured extraction.
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//!
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//! Two modes:
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//! * `schema` — JSON Schema describing what to extract.
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//! * `prompt` — natural-language instructions.
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//!
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//! At least one must be provided. The provider chain is built per
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//! request from env (Ollama -> OpenAI -> Anthropic). Self-hosters
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//! get the same fallback behaviour as the CLI.
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use axum::{Json, extract::State};
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use serde::Deserialize;
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use serde_json::{Value, json};
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use webclaw_llm::{ProviderChain, extract::extract_json, extract::extract_with_prompt};
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use crate::{error::ApiError, state::AppState};
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#[derive(Debug, Deserialize, Default)]
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#[serde(default)]
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pub struct ExtractRequest {
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pub url: String,
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pub schema: Option<Value>,
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pub prompt: Option<String>,
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/// Optional override of the provider model name (e.g. `gpt-4o-mini`).
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pub model: Option<String>,
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}
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pub async fn extract(
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State(state): State<AppState>,
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Json(req): Json<ExtractRequest>,
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) -> Result<Json<Value>, ApiError> {
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if req.url.trim().is_empty() {
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return Err(ApiError::bad_request("`url` is required"));
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}
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let has_schema = req.schema.is_some();
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let has_prompt = req
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.prompt
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.as_deref()
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.map(|p| !p.trim().is_empty())
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.unwrap_or(false);
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if !has_schema && !has_prompt {
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return Err(ApiError::bad_request(
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"either `schema` or `prompt` is required",
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));
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}
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let url = webclaw_fetch::url_security::validate_public_http_url(&req.url).await?;
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// Fetch + extract first so we feed the LLM clean markdown instead of
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// raw HTML. Cheaper tokens, better signal.
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let extraction = state.fetch().fetch_and_extract(url.as_str()).await?;
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let content = if extraction.content.markdown.trim().is_empty() {
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extraction.content.plain_text.clone()
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} else {
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extraction.content.markdown.clone()
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};
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if content.trim().is_empty() {
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return Err(ApiError::Extract(
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"no extractable content on page".to_string(),
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));
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}
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let chain = ProviderChain::default().await;
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if chain.is_empty() {
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return Err(ApiError::Llm(
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"no LLM providers configured (set OLLAMA_HOST, OPENAI_API_KEY, or ANTHROPIC_API_KEY)"
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.to_string(),
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));
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}
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let model = req.model.as_deref();
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let data = if let Some(schema) = req.schema.as_ref() {
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extract_json(&content, schema, &chain, model).await?
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} else {
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let prompt = req.prompt.as_deref().unwrap_or_default();
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extract_with_prompt(&content, prompt, &chain, model).await?
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};
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Ok(Json(json!({
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"url": req.url,
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"data": data,
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})))
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}
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