perf: Optimization of data source file download logic

apps/application/flow/step_node/tool_lib_node/impl/base_tool_lib_node.py

@@ -6,10 +6,14 @@
     @date：2024/8/8 17:49
     @desc:
 """
+import ast
+import io
 import json
+import mimetypes
 import time
 from typing import Dict
 
+from django.core.files.uploadedfile import InMemoryUploadedFile
 from django.db.models import QuerySet
 from django.utils.translation import gettext as _
 
@@ -19,7 +23,8 @@
 from common.exception.app_exception import AppApiException
 from common.utils.rsa_util import rsa_long_decrypt
 from common.utils.tool_code import ToolExecutor
-from maxkb.const import CONFIG
+from knowledge.models import FileSourceType
+from oss.serializers.file import FileSerializer
 from tools.models import Tool
 
 function_executor = ToolExecutor()
@@ -126,6 +131,7 @@ def valid_function(tool_lib, workspace_id):
     if not tool_lib.is_active:
         raise Exception(_("Tool is not active"))
 
+
 def _filter_file_bytes(data):
     """递归过滤掉所有层级的 file_bytes"""
     if isinstance(data, dict):
@@ -136,6 +142,27 @@ def _filter_file_bytes(data):
         return data
 
 
+def bytes_to_uploaded_file(file_bytes, file_name="unknown"):
+    content_type, _ = mimetypes.guess_type(file_name)
+    if content_type is None:
+        # 如果未能识别，设置为默认的二进制文件类型
+        content_type = "application/octet-stream"
+    # 创建一个内存中的字节流对象
+    file_stream = io.BytesIO(file_bytes)
+
+    # 获取文件大小
+    file_size = len(file_bytes)
+
+    uploaded_file = InMemoryUploadedFile(
+        file=file_stream,
+        field_name=None,
+        name=file_name,
+        content_type=content_type,
+        size=file_size,
+        charset=None,
+    )
+    return uploaded_file
+
 
 class BaseToolLibNodeNode(IToolLibNode):
     def save_context(self, details, workflow_manage):
@@ -168,12 +195,42 @@ def execute(self, tool_lib_id, input_field_list, **kwargs) -> NodeResult:
         else:
             all_params = init_params_default_value | params
         if self.node.properties.get('kind') == 'data-source':
-            all_params = {**all_params, **self.workflow_params.get('data_source')}
+            exist = function_executor.exist_function(tool_lib.code, 'get_download_file_list')
+            if exist:
+                download_file_list = []
+                download_list = function_executor.exec_code(tool_lib.code,
+                                                            {**all_params, **self.workflow_params.get('data_source')},
+                                                            function_name='get_download_file_list')
+                for item in download_list:
+                    result = function_executor.exec_code(tool_lib.code,
+                                                         {**all_params, **self.workflow_params.get('data_source'),
+                                                          'download_item': item},
+                                                         function_name='download')
+                    file = bytes_to_uploaded_file(ast.literal_eval(result.get('file_bytes')), result.get('name'))
+                    file_url = self.upload_knowledge_file(file)
+                    download_file_list.append({'file_id': file_url, 'name': result.get('name')})
+                all_params = {**all_params, **self.workflow_params.get('data_source'),
+                              'download_file_list': download_file_list}
         result = function_executor.exec_code(tool_lib.code, all_params)
         return NodeResult({'result': result},
                           (self.workflow_manage.params.get('knowledge_base') or {}) if self.node.properties.get(
                               'kind') == 'data-source' else {}, _write_context=write_context)
 
+    def upload_knowledge_file(self, file):
+        knowledge_id = self.workflow_params.get('knowledge_id')
+        meta = {
+            'debug': False,
+            'knowledge_id': knowledge_id,
+        }
+        file_url = FileSerializer(data={
+            'file': file,
+            'meta': meta,
+            'source_id': knowledge_id,
+            'source_type': FileSourceType.KNOWLEDGE.value
+        }).upload().replace("./oss/file/", '')
+        file.close()
+        return file_url
+
     def get_details(self, index: int, **kwargs):
         result = _filter_file_bytes(self.context.get('result'))
 

apps/common/utils/tool_code.py

@@ -74,6 +74,47 @@ def init_sandbox_dir():
     except Exception as e:
         maxkb_logger.error(f'Exception: {e}', exc_info=True)
 
+    def exist_function(self, code_str, name):
+        _id = str(uuid.uuid7())
+        python_paths = CONFIG.get_sandbox_python_package_paths().split(',')
+        set_run_user = f'os.setgid({pwd.getpwnam(_run_user).pw_gid});os.setuid({pwd.getpwnam(_run_user).pw_uid});' if _enable_sandbox else ''
+        _exec_code = f"""
+try:
+    import os, sys, json
+    path_to_exclude = ['/opt/py3/lib/python3.11/site-packages', '/opt/maxkb-app/apps']
+    sys.path = [p for p in sys.path if p not in path_to_exclude]
+    sys.path += {python_paths}
+    locals_v={{}}
+    globals_v={{}}
+    {set_run_user}
+    os.environ.clear()
+    exec({dedent(code_str)!a}, globals_v, locals_v)
+    exec_result=locals_v.__contains__('{name}')
+    sys.stdout.write("\\n{_id}:")
+    json.dump({{'code':200,'msg':'success','data':exec_result}}, sys.stdout, default=str)
+except Exception as e:
+    if isinstance(e, MemoryError): e = Exception("Cannot allocate more memory: exceeded the limit of {_process_limit_mem_mb} MB.")
+    sys.stdout.write("\\n{_id}:")
+    json.dump({{'code':500,'msg':str(e),'data':False}}, sys.stdout, default=str)
+sys.stdout.flush()    
+        """
+        maxkb_logger.debug(f"Sandbox execute code: {_exec_code}")
+        with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=True) as f:
+            f.write(_exec_code)
+            f.flush()
+            subprocess_result = self._exec(f.name)
+        if subprocess_result.returncode != 0:
+            raise Exception(subprocess_result.stderr or subprocess_result.stdout or "Unknown exception occurred")
+        lines = subprocess_result.stdout.splitlines()
+        result_line = [line for line in lines if line.startswith(_id)]
+        if not result_line:
+            maxkb_logger.error("\n".join(lines))
+            raise Exception("No result found.")
+        result = json.loads(result_line[-1].split(":", 1)[1])
+        if result.get('code') == 200:
+            return result.get('data')
+        raise Exception(result.get('msg'))
+
     def exec_code(self, code_str, keywords, function_name=None):
         _id = str(uuid.uuid7())
         action_function = f'({function_name !a}, locals_v.get({function_name !a}))' if function_name else 'locals_v.popitem()'
@@ -212,7 +253,7 @@ def get_tool_mcp_config(self, code, params):
             ],
             'cwd': _sandbox_path,
             'env': {
-               'LD_PRELOAD': f'{_sandbox_path}/lib/sandbox.so',
+                'LD_PRELOAD': f'{_sandbox_path}/lib/sandbox.so',
             },
             'transport': 'stdio',
         }