Files
aha/src/utils/mod.rs
T
2025-10-15 21:03:49 +08:00

261 lines
8.1 KiB
Rust

pub mod audio_utils;
pub mod img_utils;
pub mod tensor_utils;
pub mod video_utils;
use anyhow::Result;
use candle_core::{DType, Device};
use candle_transformers::generation::LogitsProcessor;
use openai_dive::v1::resources::{
chat::{
ChatCompletionChoice, ChatCompletionChunkChoice, ChatCompletionChunkResponse,
ChatCompletionResponse, ChatMessage, ChatMessageContent, DeltaChatMessage, DeltaFunction,
DeltaToolCall, Function, ToolCall,
},
shared::FinishReason,
};
pub fn get_device(device: Option<&Device>) -> Device {
match device {
Some(d) => d.clone(),
None => {
#[cfg(feature = "cuda")]
{
Device::new_cuda(0).unwrap_or(Device::Cpu)
}
#[cfg(not(feature = "cuda"))]
{
Device::Cpu
}
}
}
}
pub fn get_dtype(dtype: Option<DType>, cfg_dtype: &str) -> DType {
match dtype {
Some(d) => d,
None => {
#[cfg(feature = "cuda")]
{
match cfg_dtype {
"float32" | "float" => DType::F32,
"float64" | "double" => DType::F64,
"float16" => DType::F16,
"bfloat16" => DType::BF16,
"uint8" => DType::U8,
"int8" | "int16" | "int32" | "int64" => DType::I64,
_ => DType::F32,
}
}
#[cfg(not(feature = "cuda"))]
{
match cfg_dtype {
"float32" | "float" => DType::F32,
"float64" | "double" => DType::F64,
"float16" | "bfloat16" => DType::F16, // cpu上bfloat16有问题
"uint8" => DType::U8,
"int8" | "int16" | "int32" | "int64" => DType::I64,
_ => DType::F32,
}
}
}
}
}
pub fn string_to_static_str(s: String) -> &'static str {
Box::leak(s.into_boxed_str())
}
pub fn find_type_files(path: &str, extension_type: &str) -> Result<Vec<String>> {
let mut files = Vec::new();
for entry in std::fs::read_dir(path)? {
let entry = entry?;
let file_path = entry.path();
if file_path.is_file()
&& let Some(extension) = file_path.extension()
&& extension == extension_type
{
files.push(file_path.to_string_lossy().to_string());
}
}
Ok(files)
}
pub fn round_by_factor(num: u32, factor: u32) -> u32 {
let round = (num as f32 / factor as f32).round() as u32;
round * factor
}
pub fn floor_by_factor(num: f32, factor: u32) -> u32 {
let floor = (num / factor as f32).floor() as u32;
floor * factor
}
pub fn ceil_by_factor(num: f32, factor: u32) -> u32 {
let ceil = (num / factor as f32).ceil() as u32;
ceil * factor
}
pub fn build_completion_response(res: String, model_name: &str) -> ChatCompletionResponse {
let id = uuid::Uuid::new_v4().to_string();
let mut response = ChatCompletionResponse {
id: Some(id),
choices: vec![],
created: chrono::Utc::now().timestamp() as u32,
model: model_name.to_string(),
service_tier: None,
system_fingerprint: None,
object: "chat.completion".to_string(),
usage: None,
};
let choice = if res.contains("<tool_call>") {
let mes: Vec<&str> = res.split("<tool_call>").collect();
let content = mes[0].to_string();
let mut tool_vec = Vec::new();
for (i, m) in mes.iter().enumerate().skip(1) {
let tool_mes = m.replace("</tool_call>", "");
let function = match serde_json::from_str::<serde_json::Value>(&tool_mes) {
Ok(json_value) => {
let name = json_value
.get("name")
.and_then(|v| v.as_str())
.map(|s| s.to_string())
.unwrap_or_default();
let arguments = json_value
.get("arguments")
.map(|v| v.to_string())
.unwrap_or_default();
Function { name, arguments }
}
Err(_) => Function {
name: "".to_string(),
arguments: "".to_string(),
},
};
let tool_call = ToolCall {
id: (i - 1).to_string(),
r#type: "function".to_string(),
function,
};
tool_vec.push(tool_call);
}
ChatCompletionChoice {
index: 0,
message: ChatMessage::Assistant {
content: Some(ChatMessageContent::Text(content)),
reasoning_content: None,
refusal: None,
name: None,
audio: None,
tool_calls: Some(tool_vec),
},
finish_reason: Some(FinishReason::ToolCalls),
logprobs: None,
}
} else {
ChatCompletionChoice {
index: 0,
message: ChatMessage::Assistant {
content: Some(ChatMessageContent::Text(res)),
reasoning_content: None,
refusal: None,
name: None,
audio: None,
tool_calls: None,
},
finish_reason: Some(FinishReason::StopSequenceReached),
logprobs: None,
}
};
response.choices.push(choice);
response
}
pub fn build_completion_chunk_response(
res: String,
model_name: &str,
tool_call_id: Option<String>,
tool_call_content: Option<String>,
) -> ChatCompletionChunkResponse {
let id = uuid::Uuid::new_v4().to_string();
let mut response = ChatCompletionChunkResponse {
id: Some(id),
choices: vec![],
created: chrono::Utc::now().timestamp() as u32,
model: model_name.to_string(),
system_fingerprint: None,
object: "chat.completion.chunk".to_string(),
usage: None,
};
let choice = if let Some(tool_call_id) = tool_call_id {
let function = if let Some(content) = tool_call_content {
match serde_json::from_str::<serde_json::Value>(&content) {
Ok(json_value) => {
let name = json_value
.get("name")
.and_then(|v| v.as_str())
.map(|s| s.to_string());
let arguments = json_value.get("arguments").map(|v| v.to_string());
DeltaFunction { name, arguments }
}
Err(_) => DeltaFunction {
name: None,
arguments: Some(content),
},
}
} else {
DeltaFunction {
name: None,
arguments: None,
}
};
ChatCompletionChunkChoice {
index: Some(0),
delta: DeltaChatMessage::Assistant {
content: None,
reasoning_content: None,
refusal: None,
name: None,
tool_calls: Some(vec![DeltaToolCall {
index: Some(0),
id: Some(tool_call_id),
r#type: Some("function".to_string()),
function,
}]),
},
finish_reason: None,
logprobs: None,
}
} else {
ChatCompletionChunkChoice {
index: Some(0),
delta: DeltaChatMessage::Assistant {
content: Some(ChatMessageContent::Text(res)),
reasoning_content: None,
refusal: None,
name: None,
tool_calls: None,
},
finish_reason: None,
logprobs: None,
}
};
response.choices.push(choice);
response
}
pub fn get_logit_processor(temperature: Option<f32>, top_p: Option<f32>) -> LogitsProcessor {
LogitsProcessor::new(
34562,
temperature.map(|temp| temp as f64),
top_p.map(|tp| tp as f64),
)
}