From 6b10c19482e5c88e363d026b173d9f15db5c6c85 Mon Sep 17 00:00:00 2001
From: gaoziyuan <88373061+gzy19990617@users.noreply.github.com>
Date: Wed, 9 Jul 2025 11:52:22 +0800
Subject: [PATCH] =?UTF-8?q?=E3=80=90Feature=E3=80=91add=20fd=20commit/bran?=
 =?UTF-8?q?ch=20info=20when=20start=20server=20(#2752)?=
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* add_commit_config

* fix

---------

Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
---
 fastdeploy/engine/config.py | 67 +++++++++++++++++++++++++++++++++++--
 1 file changed, 65 insertions(+), 2 deletions(-)

diff --git a/fastdeploy/engine/config.py b/fastdeploy/engine/config.py
index 65f67254f..eb95f2bf1 100644
--- a/fastdeploy/engine/config.py
+++ b/fastdeploy/engine/config.py
@@ -17,6 +17,7 @@
 import json
 import os
 from datetime import datetime
+from dataclasses import dataclass
 from typing import Any, Dict, List, Literal, Optional
 
 from fastdeploy import envs
@@ -467,7 +468,63 @@ class ParallelConfig:
         llm_logger.info("Parallel Configuration Information :")
         for k, v in self.__dict__.items():
             llm_logger.info("{:<20}:{:<6}{}".format(k, "", v))
-        llm_logger.info("==================")
+        llm_logger.info(
+            "=============================================================")
+
+
+@dataclass
+class CommitConfig:
+    """
+    Configuration for tracking version information from version.txt
+
+    Attributes:
+        fastdeploy_commit: Full FastDeploy git commit hash
+        paddle_version: PaddlePaddle version string
+        paddle_commit: PaddlePaddle git commit hash
+        cuda_version: CUDA version string
+        compiler_version: CXX compiler version string
+    """
+    fastdeploy_commit: str = ""
+    paddle_version: str = ""
+    paddle_commit: str = ""
+    cuda_version: str = ""
+    compiler_version: str = ""
+
+    def __post_init__(self):
+        """Automatically load version info when initialized"""
+        self._load_from_version_file()
+
+    def _load_from_version_file(self, file_path: str = "fastdeploy/version.txt"):
+        """Internal method to load version info from file"""
+        try:
+            with open(file_path, 'r') as f:
+                for line in f:
+                    line = line.strip()
+                    if line.startswith("fastdeploy GIT COMMIT ID:"):
+                        self.fastdeploy_commit = line.split(":")[1].strip()
+                    elif line.startswith("Paddle version:"):
+                        self.paddle_version = line.split(":")[1].strip()
+                    elif line.startswith("Paddle GIT COMMIT ID:"):
+                        self.paddle_commit = line.split(":")[1].strip()
+                    elif line.startswith("CUDA version:"):
+                        self.cuda_version = line.split(":")[1].strip()
+                    elif line.startswith("CXX compiler version:"):
+                        self.compiler_version = line.split(":")[1].strip()
+        except FileNotFoundError:
+            llm_logger.info(f"Warning: Version file not found at {file_path}")
+        except Exception as e:
+            llm_logger.info(f"Warning: Could not read version file - {str(e)}")
+
+    def print(self):
+        """
+        print all config
+
+        """
+        llm_logger.info("Fasedeploy Commit Information :")
+        for k, v in self.__dict__.items():
+            llm_logger.info("{:<20}:{:<6}{}".format(k, "", v))
+        llm_logger.info(
+            "=============================================================")
 
 
 class Config:
@@ -502,6 +559,7 @@ class Config:
         cache_config: CacheConfig,
         scheduler_config: SchedulerConfig,
         parallel_config: ParallelConfig,
+        commit_config: CommitConfig = CommitConfig(),
         model_name_or_path: str = None,
         tokenizer: str = None,
         tensor_parallel_size: int = 8,
@@ -559,6 +617,7 @@ class Config:
         self.cache_config = cache_config
         self.scheduler_config = scheduler_config
         self.parallel_config = parallel_config
+        self.commit_config = commit_config
         self.model_name_or_path = model_name_or_path
         self.tokenizer = tokenizer
         self.max_num_batched_tokens = max_num_batched_tokens
@@ -756,7 +815,11 @@ class Config:
             if k == "generation_config" and v is not None:
                 for gck, gcv in v.to_dict().items():
                     llm_logger.info("{:<20}:{:<6}{}".format(gck, "", gcv))
-            elif k == "cache_config" or k == "model_config" or k == "scheduler_config" or k == "parallel_config":
+            elif (k == "cache_config" or
+                  k == "model_config" or
+                  k == "scheduler_config" or
+                  k == "parallel_config" or
+                  k == "commit_config"):
                 v.print()
             else:
                 llm_logger.info("{:<20}:{:<6}{}".format(k, "", v))