mirror of
https://git.mirrors.martin98.com/https://github.com/infiniflow/ragflow.git
synced 2025-04-19 04:30:01 +08:00
6e7fb75618
### What problem does this PR solve? Fix the issue where waiting tasks couldn't be processed when upstream components were "switch", "categorize", or "relevant" and the normal processing path couldn't continue. ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [ ] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe):
365 lines
13 KiB
Python
365 lines
13 KiB
Python
#
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# Copyright 2024 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 logging
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import json
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from copy import deepcopy
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from functools import partial
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import pandas as pd
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from agent.component import component_class
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from agent.component.base import ComponentBase
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class Canvas:
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"""
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dsl = {
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"components": {
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"begin": {
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"obj":{
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"component_name": "Begin",
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"params": {},
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},
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"downstream": ["answer_0"],
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"upstream": [],
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},
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"answer_0": {
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"obj": {
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"component_name": "Answer",
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"params": {}
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},
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"downstream": ["retrieval_0"],
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"upstream": ["begin", "generate_0"],
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},
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"retrieval_0": {
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"obj": {
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"component_name": "Retrieval",
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"params": {}
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},
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"downstream": ["generate_0"],
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"upstream": ["answer_0"],
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},
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"generate_0": {
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"obj": {
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"component_name": "Generate",
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"params": {}
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},
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"downstream": ["answer_0"],
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"upstream": ["retrieval_0"],
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}
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},
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"history": [],
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"messages": [],
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"reference": [],
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"path": [["begin"]],
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"answer": []
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}
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"""
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def __init__(self, dsl: str, tenant_id=None):
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self.path = []
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self.history = []
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self.messages = []
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self.answer = []
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self.components = {}
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self.dsl = json.loads(dsl) if dsl else {
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"components": {
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"begin": {
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"obj": {
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"component_name": "Begin",
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"params": {
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"prologue": "Hi there!"
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}
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},
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"downstream": [],
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"upstream": [],
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"parent_id": ""
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}
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},
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"history": [],
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"messages": [],
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"reference": [],
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"path": [],
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"answer": []
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}
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self._tenant_id = tenant_id
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self._embed_id = ""
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self.load()
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def load(self):
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self.components = self.dsl["components"]
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cpn_nms = set([])
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for k, cpn in self.components.items():
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cpn_nms.add(cpn["obj"]["component_name"])
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assert "Begin" in cpn_nms, "There have to be an 'Begin' component."
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assert "Answer" in cpn_nms, "There have to be an 'Answer' component."
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for k, cpn in self.components.items():
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cpn_nms.add(cpn["obj"]["component_name"])
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param = component_class(cpn["obj"]["component_name"] + "Param")()
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param.update(cpn["obj"]["params"])
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param.check()
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cpn["obj"] = component_class(cpn["obj"]["component_name"])(self, k, param)
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if cpn["obj"].component_name == "Categorize":
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for _, desc in param.category_description.items():
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if desc["to"] not in cpn["downstream"]:
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cpn["downstream"].append(desc["to"])
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self.path = self.dsl["path"]
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self.history = self.dsl["history"]
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self.messages = self.dsl["messages"]
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self.answer = self.dsl["answer"]
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self.reference = self.dsl["reference"]
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self._embed_id = self.dsl.get("embed_id", "")
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def __str__(self):
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self.dsl["path"] = self.path
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self.dsl["history"] = self.history
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self.dsl["messages"] = self.messages
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self.dsl["answer"] = self.answer
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self.dsl["reference"] = self.reference
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self.dsl["embed_id"] = self._embed_id
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dsl = {
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"components": {}
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}
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for k in self.dsl.keys():
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if k in ["components"]:
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continue
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dsl[k] = deepcopy(self.dsl[k])
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for k, cpn in self.components.items():
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if k not in dsl["components"]:
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dsl["components"][k] = {}
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for c in cpn.keys():
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if c == "obj":
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dsl["components"][k][c] = json.loads(str(cpn["obj"]))
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continue
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dsl["components"][k][c] = deepcopy(cpn[c])
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return json.dumps(dsl, ensure_ascii=False)
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def reset(self):
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self.path = []
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self.history = []
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self.messages = []
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self.answer = []
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self.reference = []
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for k, cpn in self.components.items():
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self.components[k]["obj"].reset()
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self._embed_id = ""
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def get_component_name(self, cid):
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for n in self.dsl["graph"]["nodes"]:
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if cid == n["id"]:
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return n["data"]["name"]
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return ""
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def run(self, **kwargs):
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if self.answer:
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cpn_id = self.answer[0]
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self.answer.pop(0)
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try:
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ans = self.components[cpn_id]["obj"].run(self.history, **kwargs)
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except Exception as e:
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ans = ComponentBase.be_output(str(e))
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self.path[-1].append(cpn_id)
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if kwargs.get("stream"):
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for an in ans():
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yield an
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else:
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yield ans
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return
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if not self.path:
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self.components["begin"]["obj"].run(self.history, **kwargs)
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self.path.append(["begin"])
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self.path.append([])
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ran = -1
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waiting = []
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without_dependent_checking = []
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def prepare2run(cpns):
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nonlocal ran, ans
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for c in cpns:
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if self.path[-1] and c == self.path[-1][-1]:
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continue
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cpn = self.components[c]["obj"]
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if cpn.component_name == "Answer":
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self.answer.append(c)
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else:
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logging.debug(f"Canvas.prepare2run: {c}")
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if c not in without_dependent_checking:
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cpids = cpn.get_dependent_components()
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if any([cc not in self.path[-1] for cc in cpids]):
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if c not in waiting:
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waiting.append(c)
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continue
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yield "*'{}'* is running...🕞".format(self.get_component_name(c))
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if cpn.component_name.lower() == "iteration":
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st_cpn = cpn.get_start()
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assert st_cpn, "Start component not found for Iteration."
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if not st_cpn["obj"].end():
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cpn = st_cpn["obj"]
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c = cpn._id
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try:
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ans = cpn.run(self.history, **kwargs)
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except Exception as e:
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logging.exception(f"Canvas.run got exception: {e}")
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self.path[-1].append(c)
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ran += 1
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raise e
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self.path[-1].append(c)
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ran += 1
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downstream = self.components[self.path[-2][-1]]["downstream"]
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if not downstream and self.components[self.path[-2][-1]].get("parent_id"):
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cid = self.path[-2][-1]
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pid = self.components[cid]["parent_id"]
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o, _ = self.components[cid]["obj"].output(allow_partial=False)
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oo, _ = self.components[pid]["obj"].output(allow_partial=False)
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self.components[pid]["obj"].set_output(pd.concat([oo, o], ignore_index=True).dropna())
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downstream = [pid]
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for m in prepare2run(downstream):
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yield {"content": m, "running_status": True}
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while 0 <= ran < len(self.path[-1]):
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logging.debug(f"Canvas.run: {ran} {self.path}")
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cpn_id = self.path[-1][ran]
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cpn = self.get_component(cpn_id)
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if not any([cpn["downstream"], cpn.get("parent_id"), waiting]):
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break
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loop = self._find_loop()
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if loop:
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raise OverflowError(f"Too much loops: {loop}")
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downstream = []
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if cpn["obj"].component_name.lower() in ["switch", "categorize", "relevant"]:
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switch_out = cpn["obj"].output()[1].iloc[0, 0]
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assert switch_out in self.components, \
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"{}'s output: {} not valid.".format(cpn_id, switch_out)
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downstream = [switch_out]
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else:
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downstream = cpn["downstream"]
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if not downstream and cpn.get("parent_id"):
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pid = cpn["parent_id"]
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_, o = cpn["obj"].output(allow_partial=False)
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_, oo = self.components[pid]["obj"].output(allow_partial=False)
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self.components[pid]["obj"].set_output(pd.concat([oo.dropna(axis=1), o.dropna(axis=1)], ignore_index=True).dropna())
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downstream = [pid]
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for m in prepare2run(downstream):
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yield {"content": m, "running_status": True}
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if ran >= len(self.path[-1]) and waiting:
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without_dependent_checking = waiting
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waiting = []
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for m in prepare2run(without_dependent_checking):
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yield {"content": m, "running_status": True}
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without_dependent_checking = []
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ran -= 1
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if self.answer:
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cpn_id = self.answer[0]
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self.answer.pop(0)
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ans = self.components[cpn_id]["obj"].run(self.history, **kwargs)
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self.path[-1].append(cpn_id)
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if kwargs.get("stream"):
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assert isinstance(ans, partial)
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for an in ans():
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yield an
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else:
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yield ans
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else:
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raise Exception("The dialog flow has no way to interact with you. Please add an 'Interact' component to the end of the flow.")
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def get_component(self, cpn_id):
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return self.components[cpn_id]
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def get_tenant_id(self):
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return self._tenant_id
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def get_history(self, window_size):
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convs = []
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for role, obj in self.history[window_size * -1:]:
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if isinstance(obj, list) and obj and all([isinstance(o, dict) for o in obj]):
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convs.append({"role": role, "content": '\n'.join([str(s.get("content", "")) for s in obj])})
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else:
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convs.append({"role": role, "content": str(obj)})
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return convs
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def add_user_input(self, question):
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self.history.append(("user", question))
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def set_embedding_model(self, embed_id):
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self._embed_id = embed_id
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def get_embedding_model(self):
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return self._embed_id
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def _find_loop(self, max_loops=6):
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path = self.path[-1][::-1]
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if len(path) < 2:
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return False
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for i in range(len(path)):
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if path[i].lower().find("answer") == 0 or path[i].lower().find("iterationitem") == 0:
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path = path[:i]
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break
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if len(path) < 2:
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return False
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for loc in range(2, len(path) // 2):
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pat = ",".join(path[0:loc])
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path_str = ",".join(path)
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if len(pat) >= len(path_str):
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return False
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loop = max_loops
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while path_str.find(pat) == 0 and loop >= 0:
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loop -= 1
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if len(pat)+1 >= len(path_str):
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return False
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path_str = path_str[len(pat)+1:]
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if loop < 0:
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pat = " => ".join([p.split(":")[0] for p in path[0:loc]])
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return pat + " => " + pat
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return False
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def get_prologue(self):
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return self.components["begin"]["obj"]._param.prologue
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def set_global_param(self, **kwargs):
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for k, v in kwargs.items():
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for q in self.components["begin"]["obj"]._param.query:
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if k != q["key"]:
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continue
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q["value"] = v
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def get_preset_param(self):
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return self.components["begin"]["obj"]._param.query
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def get_component_input_elements(self, cpnnm):
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return self.components[cpnnm]["obj"].get_input_elements() |