fix:Fixed the issue where the rich text processing in the DingTalk AP… (#1759)

* fix:Fixed the issue where the rich text processing in the DingTalk API did not account for multiple texts and images, as well as the presence of default line breaks. Also resolved the error in Dify caused by sending only images, which resulted in an empty query.

* fix:Considering the various possible scenarios, there are cases where plan_text is empty when there is file content, and there is no file (the message could not be parsed) and the content is empty.

* fix:Add the default modifiable prompt input for didify in the ai.yaml file to ensure that the error of query being empty occurs when receiving data.

* add: The config migration of Dify

* fix:Migration issue

* perf: minor fix

* chore: minor fix

---------

Co-authored-by: Junyan Qin <rockchinq@gmail.com>

libs/dify_service_api/v1/client.py

@@ -5,6 +5,8 @@ import typing
 import json
 
 from .errors import DifyAPIError
+from pathlib import Path
+import os
 
 
 class AsyncDifyServiceClient:
@@ -109,7 +111,23 @@ class AsyncDifyServiceClient:
         user: str,
         timeout: float = 30.0,
     ) -> str:
-        """上传文件"""
+        # 处理 Path 对象
+        if isinstance(file, Path):
+            if not file.exists():
+                raise ValueError(f'File not found: {file}')
+            with open(file, 'rb') as f:
+                file = f.read()
+
+        # 处理文件路径字符串
+        elif isinstance(file, str):
+            if not os.path.isfile(file):
+                raise ValueError(f'File not found: {file}')
+            with open(file, 'rb') as f:
+                file = f.read()
+
+        # 处理文件对象
+        elif hasattr(file, 'read'):
+            file = file.read()
         async with httpx.AsyncClient(
             base_url=self.base_url,
             trust_env=True,
@@ -121,6 +139,8 @@ class AsyncDifyServiceClient:
                 headers={'Authorization': f'Bearer {self.api_key}'},
                 files={
                     'file': file,
+                },
+                data={
                     'user': (None, user),
                 },
             )