镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-07 06:56:48 +00:00
Merge Latest Frontier (#1991)
* logging sys to loguru: stage 1 complete * import loguru: stage 2 * logging -> loguru: stage 3 * support o1-preview and o1-mini * logging -> loguru stage 4 * update social helper * logging -> loguru: final stage * fix: console output * update translation matrix * fix: loguru argument error with proxy enabled (#1977) * relax llama index version * remove comment * Added some modules to support openrouter (#1975) * Added some modules for supporting openrouter model Added some modules for supporting openrouter model * Update config.py * Update .gitignore * Update bridge_openrouter.py * Not changed actually * Refactor logging in bridge_openrouter.py --------- Co-authored-by: binary-husky <qingxu.fu@outlook.com> * remove logging extra --------- Co-authored-by: Steven Moder <java20131114@gmail.com> Co-authored-by: Ren Lifei <2602264455@qq.com>
这个提交包含在:
@@ -1,5 +1,6 @@
|
||||
import os
|
||||
from textwrap import indent
|
||||
from loguru import logger
|
||||
|
||||
class FileNode:
|
||||
def __init__(self, name, build_manifest=False):
|
||||
@@ -60,7 +61,7 @@ class FileNode:
|
||||
current_node.children.append(term)
|
||||
|
||||
def print_files_recursively(self, level=0, code="R0"):
|
||||
print(' '*level + self.name + ' ' + str(self.is_leaf) + ' ' + str(self.level))
|
||||
logger.info(' '*level + self.name + ' ' + str(self.is_leaf) + ' ' + str(self.level))
|
||||
for j, child in enumerate(self.children):
|
||||
child.print_files_recursively(level=level+1, code=code+str(j))
|
||||
self.parenting_ship.extend(child.parenting_ship)
|
||||
@@ -123,4 +124,4 @@ if __name__ == "__main__":
|
||||
"用于加载和分割文件中的文本的通用文件加载器用于加载和分割文件中的文本的通用文件加载器用于加载和分割文件中的文本的通用文件加载器",
|
||||
"包含了用于构建和管理向量数据库的函数和类包含了用于构建和管理向量数据库的函数和类包含了用于构建和管理向量数据库的函数和类",
|
||||
]
|
||||
print(build_file_tree_mermaid_diagram(file_manifest, file_comments, "项目文件树"))
|
||||
logger.info(build_file_tree_mermaid_diagram(file_manifest, file_comments, "项目文件树"))
|
||||
在新工单中引用
屏蔽一个用户