Feat: add support for pipeline logs operation (#10207)

### What problem does this PR solve?

Add support for pipeline logs operation

### Type of change


- [x] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

api/db/services/pipeline_operation_log_service.py

@@ -0,0 +1,163 @@
+#
+#  Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+#
+import json
+from datetime import datetime
+
+from peewee import fn
+
+from api.db import VALID_PIPELINE_TASK_TYPES
+from api.db.db_models import DB, PipelineOperationLog
+from api.db.services.canvas_service import UserCanvasService
+from api.db.services.common_service import CommonService
+from api.db.services.document_service import DocumentService
+from api.db.services.knowledgebase_service import KnowledgebaseService
+from api.utils import current_timestamp, datetime_format, get_uuid
+
+
+class PipelineOperationLogService(CommonService):
+    model = PipelineOperationLog
+
+    @classmethod
+    def get_cls_model_fields(cls):
+        return [
+            cls.model.id,
+            cls.model.document_id,
+            cls.model.tenant_id,
+            cls.model.kb_id,
+            cls.model.pipeline_id,
+            cls.model.pipeline_title,
+            cls.model.parser_id,
+            cls.model.document_name,
+            cls.model.document_suffix,
+            cls.model.document_type,
+            cls.model.source_from,
+            cls.model.progress,
+            cls.model.progress_msg,
+            cls.model.process_begin_at,
+            cls.model.process_duration,
+            cls.model.dsl,
+            cls.model.task_type,
+            cls.model.operation_status,
+            cls.model.avatar,
+            cls.model.status,
+            cls.model.create_time,
+            cls.model.create_date,
+            cls.model.update_time,
+            cls.model.update_date,
+        ]
+
+    @classmethod
+    @DB.connection_context()
+    def create(cls, document_id, pipeline_id, task_type):
+        from rag.flow.pipeline import Pipeline
+
+        tenant_id = ""
+        title = ""
+        avatar = ""
+        dsl = ""
+        operation_status = ""
+
+        ok, document = DocumentService.get_by_id(document_id)
+        if not ok:
+            raise RuntimeError(f"Document {document_id} not found")
+        DocumentService.update_progress_immediately([document.to_dict()])
+        ok, document = DocumentService.get_by_id(document_id)
+        if not ok:
+            raise RuntimeError(f"Document {document_id} not found")
+        operation_status = document.run
+
+        if pipeline_id:
+            ok, user_pipeline = UserCanvasService.get_by_id(pipeline_id)
+            if not ok:
+                raise RuntimeError(f"Pipeline {pipeline_id} not found")
+
+            pipeline = Pipeline(dsl=json.dumps(user_pipeline.dsl), tenant_id=user_pipeline.user_id, doc_id=document_id, task_id="", flow_id=pipeline_id)
+
+            tenant_id = user_pipeline.user_id
+            title = user_pipeline.title
+            avatar = user_pipeline.avatar
+            dsl = json.loads(str(pipeline))
+        else:
+            ok, kb_info = KnowledgebaseService.get_by_id(document.kb_id)
+            if not ok:
+                raise RuntimeError(f"Cannot find knowledge base {document.kb_id} for document {document_id}")
+
+            tenant_id = kb_info.tenant_id
+            title = document.name
+            avatar = document.thumbnail
+
+        if task_type not in VALID_PIPELINE_TASK_TYPES:
+            raise ValueError(f"Invalid task type: {task_type}")
+
+        log = dict(
+            id=get_uuid(),
+            document_id=document_id,
+            tenant_id=tenant_id,
+            kb_id=document.kb_id,
+            pipeline_id=pipeline_id,
+            pipeline_title=title,
+            parser_id=document.parser_id,
+            document_name=document.name,
+            document_suffix=document.suffix,
+            document_type=document.type,
+            source_from="",  # TODO: add in the future
+            progress=document.progress,
+            progress_msg=document.progress_msg,
+            process_begin_at=document.process_begin_at,
+            process_duration=document.process_duration,
+            dsl=dsl,
+            task_type=task_type,
+            operation_status=operation_status,
+            avatar=avatar,
+        )
+        log["create_time"] = current_timestamp()
+        log["create_date"] = datetime_format(datetime.now())
+        log["update_time"] = current_timestamp()
+        log["update_date"] = datetime_format(datetime.now())
+        obj = cls.save(**log)
+        return obj
+
+    @classmethod
+    @DB.connection_context()
+    def record_pipeline_operation(cls, document_id, pipeline_id, task_type):
+        return cls.create(document_id=document_id, pipeline_id=pipeline_id, task_type=task_type)
+
+    @classmethod
+    @DB.connection_context()
+    def get_by_kb_id(cls, kb_id, page_number, items_per_page, orderby, desc, keywords, operation_status, types, suffix):
+        fields = cls.get_cls_model_fields()
+        if keywords:
+            logs = cls.model.select(*fields).where((cls.model.kb_id == kb_id), (fn.LOWER(cls.model.document_name).contains(keywords.lower())))
+        else:
+            logs = cls.model.select(*fields).where(cls.model.kb_id == kb_id)
+
+        if operation_status:
+            logs = logs.where(cls.model.operation_status.in_(operation_status))
+        if types:
+            logs = logs.where(cls.model.document_type.in_(types))
+        if suffix:
+            logs = logs.where(cls.model.document_suffix.in_(suffix))
+
+        count = logs.count()
+        if desc:
+            logs = logs.order_by(cls.model.getter_by(orderby).desc())
+        else:
+            logs = logs.order_by(cls.model.getter_by(orderby).asc())
+
+        if page_number and items_per_page:
+            logs = logs.paginate(page_number, items_per_page)
+
+        return list(logs.dicts()), count