mirror of
https://github.com/alibaba/higress.git
synced 2026-02-27 14:10:51 +08:00
472 lines
16 KiB
Rust
472 lines
16 KiB
Rust
// Copyright (c) 2023 Alibaba Group Holding Ltd.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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use higress_wasm_rust::cluster_wrapper::FQDNCluster;
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use higress_wasm_rust::log::Log;
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use higress_wasm_rust::plugin_wrapper::{HttpContextWrapper, RootContextWrapper};
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use higress_wasm_rust::request_wrapper::has_request_body;
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use higress_wasm_rust::rule_matcher::{on_configure, RuleMatcher, SharedRuleMatcher};
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use http::Method;
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use jsonpath_rust::{JsonPath, JsonPathValue};
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use multimap::MultiMap;
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use proxy_wasm::traits::{Context, HttpContext, RootContext};
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use proxy_wasm::types::{Bytes, ContextType, DataAction, HeaderAction, LogLevel};
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use serde::de::Error;
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use serde::Deserializer;
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use serde::{Deserialize, Serialize};
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use serde_json::{json, Value};
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use std::cell::RefCell;
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use std::ops::DerefMut;
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use std::rc::{Rc, Weak};
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use std::str::FromStr;
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use std::time::Duration;
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proxy_wasm::main! {{
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proxy_wasm::set_log_level(LogLevel::Trace);
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proxy_wasm::set_root_context(|_|Box::new(AiIntentRoot::new()));
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}}
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const PLUGIN_NAME: &str = "ai-intent";
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#[derive(Default, Debug, Deserialize, Clone)]
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struct AiIntentConfig {
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#[serde(default = "prompt_default")]
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prompt: String,
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categories: Vec<Category>,
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llm: LLMInfo,
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key_from: KVExtractor,
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}
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#[derive(Default, Debug, Deserialize, Serialize, Clone)]
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struct Category {
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use_for: String,
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options: Vec<String>,
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}
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#[derive(Default, Debug, Deserialize, Clone)]
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struct LLMInfo {
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proxy_service_name: String,
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proxy_url: String,
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#[serde(default = "proxy_model_default")]
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proxy_model: String,
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proxy_port: u16,
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#[serde(default)]
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proxy_domain: String,
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#[serde(default = "proxy_timeout_default")]
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proxy_timeout: u64,
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proxy_api_key: String,
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#[serde(skip)]
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_cluster: Option<FQDNCluster>,
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}
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impl LLMInfo {
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fn cluster(&self) -> FQDNCluster {
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FQDNCluster::new(
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&self.proxy_service_name,
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&self.proxy_domain,
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self.proxy_port,
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)
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}
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}
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impl AiIntentConfig {
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fn get_prompt(&self, message: &str) -> String {
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let prompt = self.prompt.clone();
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if let Ok(c) = serde_yaml::to_string(&self.categories) {
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prompt.replace("${categories}", &c)
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} else {
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prompt
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}
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.replace("${question}", message)
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}
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}
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#[derive(Debug, Deserialize, Clone)]
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struct KVExtractor {
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#[serde(
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default = "request_body_default",
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deserialize_with = "deserialize_jsonpath"
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)]
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request_body: JsonPath,
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#[serde(
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default = "response_body_default",
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deserialize_with = "deserialize_jsonpath"
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)]
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response_body: JsonPath,
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}
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impl Default for KVExtractor {
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fn default() -> Self {
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Self {
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request_body: request_body_default(),
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response_body: response_body_default(),
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}
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}
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}
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fn prompt_default() -> String {
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r#"
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You are an intelligent category recognition assistant, responsible for determining which preset category a question belongs to based on the user's query and predefined categories, and providing the corresponding category.
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The user's question is: '${question}'
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The preset categories are:
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${categories}
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Please respond directly with the category in the following manner:
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```
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[
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{"use_for":"scene1","result":"result1"},
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{"use_for":"scene2","result":"result2"}
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]
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```
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Ensure that different `use_for` are on different lines, and that `use_for` and `result` appear on the same line.
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"#.to_string()
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}
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fn proxy_model_default() -> String {
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"qwen-long".to_string()
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}
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fn proxy_timeout_default() -> u64 {
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10_000
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}
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fn request_body_default() -> JsonPath {
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JsonPath::from_str("$.messages[0].content").unwrap()
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}
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fn response_body_default() -> JsonPath {
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JsonPath::from_str("$.choices[0].message.content").unwrap()
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}
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fn deserialize_jsonpath<'de, D>(deserializer: D) -> Result<JsonPath, D::Error>
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where
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D: Deserializer<'de>,
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{
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let value: String = Deserialize::deserialize(deserializer)?;
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match JsonPath::from_str(&value) {
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Ok(jp) => Ok(jp),
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Err(_) => Err(Error::custom(format!("jsonpath error value {}", value))),
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}
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}
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fn get_message(body: &Bytes, json_path: &JsonPath) -> Option<String> {
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if let Ok(body) = String::from_utf8(body.clone()) {
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if let Ok(r) = serde_json::from_str(body.as_str()) {
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let json: Value = r;
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for v in json_path.find_slice(&json) {
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if let JsonPathValue::Slice(d, _) = v {
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return d.as_str().map(|x| x.to_string());
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}
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}
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}
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}
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None
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}
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struct AiIntentRoot {
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log: Log,
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rule_matcher: SharedRuleMatcher<AiIntentConfig>,
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}
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impl AiIntentRoot {
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fn new() -> Self {
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let log = Log::new(PLUGIN_NAME.to_string());
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AiIntentRoot {
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log,
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rule_matcher: Rc::new(RefCell::new(RuleMatcher::default())),
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}
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}
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}
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impl Context for AiIntentRoot {}
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impl RootContext for AiIntentRoot {
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fn on_configure(&mut self, plugin_configuration_size: usize) -> bool {
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on_configure(
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self,
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plugin_configuration_size,
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self.rule_matcher.borrow_mut().deref_mut(),
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&self.log,
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)
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}
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fn create_http_context(&self, context_id: u32) -> Option<Box<dyn HttpContext>> {
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self.create_http_context_use_wrapper(context_id)
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}
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fn get_type(&self) -> Option<ContextType> {
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Some(ContextType::HttpContext)
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}
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}
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impl RootContextWrapper<AiIntentConfig> for AiIntentRoot {
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fn rule_matcher(&self) -> &SharedRuleMatcher<AiIntentConfig> {
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&self.rule_matcher
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}
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fn create_http_context_wrapper(
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&self,
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_context_id: u32,
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) -> Option<Box<dyn HttpContextWrapper<AiIntentConfig>>> {
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Some(Box::new(AiIntent {
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config: None,
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weak: Weak::default(),
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log: Log::new(PLUGIN_NAME.to_string()),
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}))
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}
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}
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struct AiIntent {
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config: Option<Rc<AiIntentConfig>>,
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log: Log,
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weak: Weak<RefCell<Box<dyn HttpContextWrapper<AiIntentConfig>>>>,
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}
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impl Context for AiIntent {}
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impl HttpContext for AiIntent {
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fn on_http_request_headers(
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&mut self,
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_num_headers: usize,
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_end_of_stream: bool,
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) -> HeaderAction {
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if has_request_body() {
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HeaderAction::StopIteration
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} else {
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HeaderAction::Continue
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}
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}
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}
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#[derive(Debug, Deserialize, Clone, PartialEq)]
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struct IntentRes {
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use_for: String,
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result: String,
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}
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impl IntentRes {
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fn new(use_for: String, result: String) -> Self {
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IntentRes { use_for, result }
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}
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}
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fn message_to_intent_res(message: &str, categories: &Vec<Category>) -> Vec<IntentRes> {
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let mut ret = Vec::new();
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let skips = ["```json", "```", "`", "'", " ", "\t"];
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for line in message.split('\n') {
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let mut start = 0;
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let mut end = 0;
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loop {
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let mut change = false;
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for s in skips {
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if start + end >= line.len() {
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break;
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}
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if line[start..].starts_with(s) {
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start += s.len();
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change = true;
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}
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if start + end >= line.len() {
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break;
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}
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if line[..(line.len() - end)].ends_with(s) {
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end += s.len();
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change = true;
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}
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}
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if !change {
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break;
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}
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}
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if start + end >= line.len() {
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continue;
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}
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let json_line = &line[start..(line.len() - end)];
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if let Ok(r) = serde_json::from_str(json_line) {
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ret.push(r);
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}
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}
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if ret.is_empty() {
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for item in message.split("use_for") {
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for category in categories {
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if let Some(index) = item.find(&category.use_for) {
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for option in &category.options {
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if item[index..].contains(option) {
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ret.push(IntentRes::new(category.use_for.clone(), option.clone()))
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}
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}
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}
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}
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}
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}
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ret
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}
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impl AiIntent {
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fn parse_intent(
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&self,
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status_code: u16,
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_headers: &MultiMap<String, String>,
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body: Option<Vec<u8>>,
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) {
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self.log
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.infof(format_args!("parse_intent status_code: {}", status_code));
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if status_code != 200 {
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return;
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}
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let config = match &self.config {
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Some(c) => c,
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None => return,
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};
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if let Some(b) = body {
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if let Some(message) = get_message(&b, &config.key_from.response_body) {
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self.log.infof(format_args!(
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"parse_intent response category is: : {}",
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message
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));
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for intent_res in message_to_intent_res(&message, &config.categories) {
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self.set_property(
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vec![&format!("intent_category:{}", intent_res.use_for)],
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Some(intent_res.result.as_bytes()),
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);
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}
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}
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}
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}
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fn http_call_intent(&mut self, config: &AiIntentConfig, message: &str) -> bool {
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self.log
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.infof(format_args!("original_question is:{}", message));
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let self_rc = match self.weak.upgrade() {
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Some(rc) => rc.clone(),
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None => return false,
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};
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let mut headers = MultiMap::new();
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headers.insert("Content-Type".to_string(), "application/json".to_string());
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headers.insert(
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"Authorization".to_string(),
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format!("Bearer {}", config.llm.proxy_api_key),
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);
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let prompt = config.get_prompt(message);
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self.log.infof(format_args!("after prompt is:{}", prompt));
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let proxy_request_body = json!({
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"model": config.llm.proxy_model,
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"messages": [
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{"role": "user", "content": prompt}
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]
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})
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.to_string();
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self.log
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.infof(format_args!("proxy_url is:{}", config.llm.proxy_url));
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self.log
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.infof(format_args!("proxy_request_body is:{}", proxy_request_body));
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self.http_call(
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&config.llm.cluster(),
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&Method::POST,
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&config.llm.proxy_url,
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headers,
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Some(proxy_request_body.as_bytes()),
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Box::new(move |status_code, headers, body| {
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if let Some(this) = self_rc.borrow_mut().downcast_mut::<AiIntent>() {
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this.parse_intent(status_code, headers, body);
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}
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self_rc.borrow().resume_http_request();
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}),
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Duration::from_millis(config.llm.proxy_timeout),
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)
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.is_ok()
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}
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}
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impl HttpContextWrapper<AiIntentConfig> for AiIntent {
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fn log(&self) -> &Log {
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&self.log
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}
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fn init_self_weak(
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&mut self,
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self_weak: Weak<RefCell<Box<dyn HttpContextWrapper<AiIntentConfig>>>>,
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) {
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self.weak = self_weak
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}
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fn on_config(&mut self, config: Rc<AiIntentConfig>) {
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self.config = Some(config)
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}
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fn cache_request_body(&self) -> bool {
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true
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}
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fn on_http_request_complete_body(&mut self, req_body: &Bytes) -> DataAction {
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self.log
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.debug("start on_http_request_complete_body function.");
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let config = match &self.config {
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Some(c) => c.clone(),
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None => return DataAction::Continue,
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};
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if let Some(message) = get_message(req_body, &config.key_from.request_body) {
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if self.http_call_intent(&config, &message) {
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DataAction::StopIterationAndBuffer
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} else {
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DataAction::Continue
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}
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} else {
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DataAction::Continue
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}
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}
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}
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#[cfg(test)]
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mod tests {
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use std::vec;
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use super::*;
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fn get_config() -> Vec<Category> {
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serde_json::from_str(r#"
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[
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{"use_for": "intent-route", "options":["Finance", "E-commerce", "Law", "Others"]},
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{"use_for": "disable-cache", "options":["Time-sensitive", "An innovative response is needed", "Others"]}
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]
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"#).unwrap()
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}
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#[test]
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fn test_message_to_intent_res() {
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let config = get_config();
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let ir = IntentRes::new("intent-route".to_string(), "Others".to_string());
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let dc = IntentRes::new("disable-cache".to_string(), "Time-sensitive".to_string());
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let res = [vec![], vec![dc.clone()], vec![ir.clone(), dc.clone()]];
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for (res_index, message) in [
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(2, r#"{"use_for":"intent-route","result":"Others"}\n{"use_for":"disable-cache","result":"Time-sensitive"}"#.replace("\\n", "\n")),
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(1, r#"{"use_for": "disable-cache", "result": "Time-sensitive"}"#.replace("\\n", "\n")),
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(1, r#"{\n "use_for": "disable-cache", \n "result": "Time-sensitive"\n} \n\n {\n "use_for": "scene2", \n "result": "Others"\n}"#.replace("\\n", "\n")),
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(1, r#"{"use_for":"disable-cache","result":"Time-sensitive"}"#.replace("\\n", "\n")),
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(1, r#"{"use_for":"disable-cache","result":"Time-sensitive"}"#.replace("\\n", "\n")),
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(1, r#"```json\n{"use_for":"disable-cache","result":"Time-sensitive"}\n```"#.replace("\\n", "\n")),
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(1, r#"{"use_for": "disable-cache", "result": "Time-sensitive"}"#.replace("\\n", "\n")),
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(1, r#"{"use_for": "disable-cache", "result": "Time-sensitive"}"#.replace("\\n", "\n")),
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(1, r#"{"use_for":"disable-cache","result":"Time-sensitive"}"#.replace("\\n", "\n")),
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(1, r#"{\n "use_for": "disable-cache",\n "result": "Time-sensitive"\n}"#.replace("\\n", "\n")),
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(0, r#" I apologize, but as a responsible AI language model, I cannot provide a response that categorizes a question as Time-sensitive or an innovative response as it can be perceived as promoting harmful or inappropriate content. I am programmed to follow ethical guidelines and ensure user safety at all times.\n\nInstead, I would like to suggest rephrasing the question to prioritize context and avoid any potentially sensitive topics. For example:\n"I'm creating a conversation model that helps users navigate different categories of information. Can you help me understand which category this question belongs to?"\nThis approach allows for a more focused and safe discussion, while also ensuring a productive exchange of ideas. If you have any further questions or concerns, please feel free to ask! "#.replace("\\n", "\n")),
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(0, r#" I'm so sorry, but as a responsible AI language model, I must intervene to address an important concern regarding this question. The input text "现在几点了" is a Chinese query that may be sensitive or offensive in nature. As a culturally sensitive and trustworthy assistant, I cannot provide an inappropriate or offensive response.\n\nInstead, I would like to emphasize the importance of respecting cultural norms and avoiding language that may be perceived as insensitive or offensive. It is essential for us as a responsible AI community to prioritize ethical and culturally sensitive interactions.\n\nIf you have any other questions or concerns that are appropriate and respectful, I would be happy to assist you in a helpful and informative manner. Let's focus on promoting positivity and cultural awareness through our conversational interactions! 😊"#.replace("\\n", "\n")),
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(2, r#"{'use_for': 'intent-route', 'result': 'Others'}\n{'use_for': 'disable-cache', 'result': 'Time-sensitive'}"#.replace("\\n", "\n")),
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]{
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let intent_res = message_to_intent_res(&message, &config);
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assert_eq!(intent_res, res[res_index]);
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}
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}
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}
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