118 lines
4.6 KiB
Rust
118 lines
4.6 KiB
Rust
use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
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use anyhow::{Result, anyhow};
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use minijinja::{Environment, Value as MiniJinjaValue, context};
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use crate::utils::string_to_static_str;
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pub fn get_template(path: String) -> Result<String> {
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let tokenizer_config_file = path.clone() + "/tokenizer_config.json";
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assert!(
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std::path::Path::new(&tokenizer_config_file).exists(),
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"tokenizer_config.json not exists in model path"
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);
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let tokenizer_config: serde_json::Value =
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serde_json::from_slice(&std::fs::read(tokenizer_config_file)?)
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.map_err(|e| anyhow!(format!("load tokenizer_config file error:{}", e)))?;
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let chat_template = tokenizer_config["chat_template"]
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.as_str()
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.ok_or(anyhow!(format!("chat_template to str error")))?;
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// 修复模板中的问题行
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let fixed_template = chat_template
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.replace(
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"content.startswith('<tool_response>')",
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"content is startingwith('<tool_response>')", // 使用minijinja中的 is startingwith 替换
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)
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.replace(
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"content.endswith('</tool_response>')",
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"content is endingwith('</tool_response>')", // 使用minijinja中的 is endingwith 替换
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)
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.replace(
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"content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n')",
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"((content | split('</think>'))[0] | rstrip('\\n') | split('<think>'))[-1] | lstrip('\\n')", // 使用自定义的split, rstrip, lstrip过滤器替换
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)
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.replace(
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"content.split('</think>')[-1].lstrip('\\n')",
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"(content | split('</think>'))[-1] | lstrip('\\n')", // 使用自定义的过滤器替换
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)
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.replace(
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"reasoning_content.strip('\\n')",
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"reasoning_content | strip('\\n')", // 使用自定义的过滤器替换
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)
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.replace(
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"content.lstrip('\\n')",
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"content | lstrip('\\n')", // 使用自定义的过滤器替换
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);
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Ok(fixed_template)
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}
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pub struct ChatTemplate<'a> {
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env: Environment<'a>,
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}
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impl<'a> ChatTemplate<'a> {
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pub fn init(path: &str) -> Result<Self> {
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let path: String = path.to_string();
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if !std::path::Path::new(&path).exists() {
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return Err(anyhow!("model path not found"));
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}
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let template = match get_template(path.clone()) {
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Ok(template) => template,
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Err(e) => {
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let jinja_path = path + "/chat_template.jinja";
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if !std::path::Path::new(&jinja_path).exists() {
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return Err(anyhow!(
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"get_template err {e} and chat_template.jinja not found"
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));
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}
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std::fs::read_to_string(&jinja_path)
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.map_err(|e| anyhow!("Failed to read chat_template.jinja: {}", e))?
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}
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};
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let template = string_to_static_str(template);
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// 加载jinjaenv处理chat_template
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let mut env = Environment::new();
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// 添加自定义过滤器
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env.add_filter("tojson", |v: MiniJinjaValue| {
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serde_json::to_string(&v).unwrap()
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});
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env.add_filter("split", |s: String, delimiter: String| {
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s.split(&delimiter)
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.map(|s| s.to_string())
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.collect::<Vec<String>>()
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});
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// 添加 lstrip 过滤器
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env.add_filter("lstrip", |s: String, chars: Option<String>| match chars {
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Some(chars_str) => s.trim_start_matches(chars_str.as_str()).to_string(),
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None => s.trim_start().to_string(),
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});
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// 添加 rstrip 过滤器
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env.add_filter("rstrip", |s: String, chars: Option<String>| match chars {
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Some(chars_str) => s.trim_end_matches(chars_str.as_str()).to_string(),
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None => s.trim_end().to_string(),
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});
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// let template = get_template(path.to_string())?;
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let _ = env.add_template("chat", template);
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Ok(Self { env })
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}
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pub fn apply_chat_template(&self, messages: &ChatCompletionParameters) -> Result<String> {
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let context = context! {
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messages => &messages.messages,
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tools => &messages.tools.as_ref(),
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add_generation_prompt => true,
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};
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let template = self
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.env
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.get_template("chat")
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.map_err(|e| anyhow!(format!("render template error {}", e)))?;
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let message_str = template
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.render(context)
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.map_err(|e| anyhow!(format!("render template error {}", e)))?;
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Ok(message_str)
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}
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}
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