define bas environment

rootfs/knowledge_pipelines/Mail/Spider/pipeline.toml

@@ -1,4 +0,0 @@
-name = "Mail.Issue"
-input.module = "input.py"
-input.params.path = "${myai_dir}/data"
-

rootfs/knowledge_pipelines/Mail/Sync/pipeline.toml

@@ -0,0 +1,14 @@
+name = "Mail.Sync"
+input.module = "input.py"
+[input.params]
+path = "${myai_dir}/mail"
+imap_server = "imap.qq.com"
+imap_port = 993
+address = "115620204@qq.com"
+password = "zbbjpbukeonqbjja"
+[input.params.fields]
+from = "from"
+to = "to"
+subject = "subject"
+
+

rootfs/knowledge_pipelines/Mia/parser.py

@@ -96,7 +96,7 @@ class EmbeddingParser:
     async def parse(self, object: ObjectID) -> str:
         obj = self.env.get_knowledge_store().load_object(object)
         await self.__do_embedding(obj)
-        return "insert into vector store"
+        return str(object)
 
 def init(env: KnowledgePipelineEnvironment, params: dict) -> EmbeddingParser:
     return EmbeddingParser(env, params)

rootfs/knowledge_pipelines/pipelines.toml

@@ -1,3 +1,3 @@
 pipelines = [
-    "Mail/Issue"
+    "Mail/Sync"
 ]