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https://github.com/infiniflow/ragflow.git
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45f52e85d7
### What problem does this PR solve? Refine dataflow and initialize dataflow app. ### Type of change - [x] New Feature (non-breaking change which adds functionality)
113 lines
4.4 KiB
Python
113 lines
4.4 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import datetime
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import json
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import logging
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import random
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import time
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import trio
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from agent.canvas import Graph
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from api.db.services.document_service import DocumentService
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from rag.utils.redis_conn import REDIS_CONN
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class Pipeline(Graph):
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def __init__(self, dsl: str, tenant_id=None, doc_id=None, task_id=None, flow_id=None):
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super().__init__(dsl, tenant_id, task_id)
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self._doc_id = doc_id
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self._flow_id = flow_id
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self._kb_id = None
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if doc_id:
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self._kb_id = DocumentService.get_knowledgebase_id(doc_id)
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assert self._kb_id, f"Can't find KB of this document: {doc_id}"
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def callback(self, component_name: str, progress: float | int | None = None, message: str = "") -> None:
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log_key = f"{self._flow_id}-{self.task_id}-logs"
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try:
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bin = REDIS_CONN.get(log_key)
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obj = json.loads(bin.encode("utf-8"))
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if obj:
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if obj[-1]["component_name"] == component_name:
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obj[-1]["trace"].append({"progress": progress, "message": message, "datetime": datetime.datetime.now().strftime("%H:%M:%S")})
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else:
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obj.append({"component_name": component_name, "trace": [{"progress": progress, "message": message, "datetime": datetime.datetime.now().strftime("%H:%M:%S")}]})
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else:
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obj = [{"component_name": component_name, "trace": [{"progress": progress, "message": message, "datetime": datetime.datetime.now().strftime("%H:%M:%S")}]}]
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REDIS_CONN.set_obj(log_key, obj, 60 * 10)
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except Exception as e:
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logging.exception(e)
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def fetch_logs(self):
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log_key = f"{self._flow_id}-{self.task_id}-logs"
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try:
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bin = REDIS_CONN.get(log_key)
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if bin:
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return json.loads(bin.encode("utf-8"))
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except Exception as e:
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logging.exception(e)
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return []
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def reset(self):
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super().reset()
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log_key = f"{self._flow_id}-{self.task_id}-logs"
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try:
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REDIS_CONN.set_obj(log_key, [], 60 * 10)
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except Exception as e:
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logging.exception(e)
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async def run(self, **kwargs):
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st = time.perf_counter()
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if not self.path:
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self.path.append("File")
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if self._doc_id:
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DocumentService.update_by_id(
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self._doc_id, {"progress": random.randint(0, 5) / 100.0, "progress_msg": "Start the pipeline...", "process_begin_at": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}
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)
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self.error = ""
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idx = len(self.path) - 1
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if idx == 0:
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cpn_obj = self.get_component_obj(self.path[0])
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await cpn_obj.invoke(**kwargs)
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if cpn_obj.error():
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self.error = "[ERROR]" + cpn_obj.error()
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else:
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idx += 1
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self.path.extend(cpn_obj.get_downstream())
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while idx < len(self.path) and not self.error:
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last_cpn = self.get_component_obj(self.path[idx - 1])
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cpn_obj = self.get_component_obj(self.path[idx])
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async def invoke():
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nonlocal last_cpn, cpn_obj
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await cpn_obj.invoke(**last_cpn.output())
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async with trio.open_nursery() as nursery:
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nursery.start_soon(invoke)
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if cpn_obj.error():
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self.error = "[ERROR]" + cpn_obj.error()
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self.callback(cpn_obj.component_name, -1, self.error)
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break
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idx += 1
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self.path.extend(cpn_obj.get_downstream())
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if self._doc_id:
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DocumentService.update_by_id(self._doc_id, {"progress": 1 if not self.error else -1, "progress_msg": "Pipeline finished...\n" + self.error, "process_duration": time.perf_counter() - st})
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