#
# Copyright 2024 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 importlib
import json
import traceback
from abc import ABC
from copy import deepcopy
from functools import partial
import pandas as pd
from agent.component import component_class
from agent.component.base import ComponentBase
from agent.settings import flow_logger, DEBUG
class Canvas(ABC):
"""
dsl = {
"components": {
"begin": {
"obj":{
"component_name": "Begin",
"params": {},
},
"downstream": ["answer_0"],
"upstream": [],
},
"answer_0": {
"obj": {
"component_name": "Answer",
"params": {}
},
"downstream": ["retrieval_0"],
"upstream": ["begin", "generate_0"],
},
"retrieval_0": {
"obj": {
"component_name": "Retrieval",
"params": {}
},
"downstream": ["generate_0"],
"upstream": ["answer_0"],
},
"generate_0": {
"obj": {
"component_name": "Generate",
"params": {}
},
"downstream": ["answer_0"],
"upstream": ["retrieval_0"],
}
},
"history": [],
"messages": [],
"reference": [],
"path": [["begin"]],
"answer": []
}
"""
def __init__(self, dsl: str, tenant_id=None):
self.path = []
self.history = []
self.messages = []
self.answer = []
self.components = {}
self.dsl = json.loads(dsl) if dsl else {
"components": {
"begin": {
"obj": {
"component_name": "Begin",
"params": {
"prologue": "Hi there!"
}
},
"downstream": [],
"upstream": []
}
},
"history": [],
"messages": [],
"reference": [],
"path": [],
"answer": []
}
self._tenant_id = tenant_id
self._embed_id = ""
self.load()
def load(self):
self.components = self.dsl["components"]
cpn_nms = set([])
for k, cpn in self.components.items():
cpn_nms.add(cpn["obj"]["component_name"])
assert "Begin" in cpn_nms, "There have to be an 'Begin' component."
assert "Answer" in cpn_nms, "There have to be an 'Answer' component."
for k, cpn in self.components.items():
cpn_nms.add(cpn["obj"]["component_name"])
param = component_class(cpn["obj"]["component_name"] + "Param")()
param.update(cpn["obj"]["params"])
param.check()
cpn["obj"] = component_class(cpn["obj"]["component_name"])(self, k, param)
if cpn["obj"].component_name == "Categorize":
for _, desc in param.category_description.items():
if desc["to"] not in cpn["downstream"]:
cpn["downstream"].append(desc["to"])
self.path = self.dsl["path"]
self.history = self.dsl["history"]
self.messages = self.dsl["messages"]
self.answer = self.dsl["answer"]
self.reference = self.dsl["reference"]
self._embed_id = self.dsl.get("embed_id", "")
def __str__(self):
self.dsl["path"] = self.path
self.dsl["history"] = self.history
self.dsl["messages"] = self.messages
self.dsl["answer"] = self.answer
self.dsl["reference"] = self.reference
self.dsl["embed_id"] = self._embed_id
dsl = {
"components": {}
}
for k in self.dsl.keys():
if k in ["components"]:continue
dsl[k] = deepcopy(self.dsl[k])
for k, cpn in self.components.items():
if k not in dsl["components"]:
dsl["components"][k] = {}
for c in cpn.keys():
if c == "obj":
dsl["components"][k][c] = json.loads(str(cpn["obj"]))
continue
dsl["components"][k][c] = deepcopy(cpn[c])
return json.dumps(dsl, ensure_ascii=False)
def reset(self):
self.path = []
self.history = []
self.messages = []
self.answer = []
self.reference = []
for k, cpn in self.components.items():
self.components[k]["obj"].reset()
self._embed_id = ""
def run(self, **kwargs):
ans = ""
if self.answer:
cpn_id = self.answer[0]
self.answer.pop(0)
try:
ans = self.components[cpn_id]["obj"].run(self.history, **kwargs)
except Exception as e:
ans = ComponentBase.be_output(str(e))
self.path[-1].append(cpn_id)
if kwargs.get("stream"):
assert isinstance(ans, partial)
return ans
self.history.append(("assistant", ans.to_dict("records")))
return ans
if not self.path:
self.components["begin"]["obj"].run(self.history, **kwargs)
self.path.append(["begin"])
self.path.append([])
ran = -1
def prepare2run(cpns):
nonlocal ran, ans
for c in cpns:
if self.path[-1] and c == self.path[-1][-1]: continue
cpn = self.components[c]["obj"]
if cpn.component_name == "Answer":
self.answer.append(c)
else:
if DEBUG: print("RUN: ", c)
if cpn.component_name == "Generate":
cpids = cpn.get_dependent_components()
if any([c not in self.path[-1] for c in cpids]):
continue
ans = cpn.run(self.history, **kwargs)
self.path[-1].append(c)
ran += 1
prepare2run(self.components[self.path[-2][-1]]["downstream"])
while 0 <= ran < len(self.path[-1]):
if DEBUG: print(ran, self.path)
cpn_id = self.path[-1][ran]
cpn = self.get_component(cpn_id)
if not cpn["downstream"]: break
loop = self._find_loop()
if loop: raise OverflowError(f"Too much loops: {loop}")
if cpn["obj"].component_name.lower() in ["switch", "categorize", "relevant"]:
switch_out = cpn["obj"].output()[1].iloc[0, 0]
assert switch_out in self.components, \
"{}'s output: {} not valid.".format(cpn_id, switch_out)
try:
prepare2run([switch_out])
except Exception as e:
for p in [c for p in self.path for c in p][::-1]:
if p.lower().find("answer") >= 0:
self.get_component(p)["obj"].set_exception(e)
prepare2run([p])
break
traceback.print_exc()
break
continue
try:
prepare2run(cpn["downstream"])
except Exception as e:
for p in [c for p in self.path for c in p][::-1]:
if p.lower().find("answer") >= 0:
self.get_component(p)["obj"].set_exception(e)
prepare2run([p])
break
traceback.print_exc()
break
if self.answer:
cpn_id = self.answer[0]
self.answer.pop(0)
ans = self.components[cpn_id]["obj"].run(self.history, **kwargs)
self.path[-1].append(cpn_id)
if kwargs.get("stream"):
assert isinstance(ans, partial)
return ans
self.history.append(("assistant", ans.to_dict("records")))
return ans
def get_component(self, cpn_id):
return self.components[cpn_id]
def get_tenant_id(self):
return self._tenant_id
def get_history(self, window_size):
convs = []
for role, obj in self.history[(window_size + 1) * -1:]:
convs.append({"role": role, "content": (obj if role == "user" else
'\n'.join([str(s) for s in pd.DataFrame(obj)['content']]))})
return convs
def add_user_input(self, question):
self.history.append(("user", question))
def set_embedding_model(self, embed_id):
self._embed_id = embed_id
def get_embedding_model(self):
return self._embed_id
def _find_loop(self, max_loops=6):
path = self.path[-1][::-1]
if len(path) < 2: return False
for i in range(len(path)):
if path[i].lower().find("answer") >= 0:
path = path[:i]
break
if len(path) < 2: return False
for l in range(2, len(path) // 2):
pat = ",".join(path[0:l])
path_str = ",".join(path)
if len(pat) >= len(path_str): return False
loop = max_loops
while path_str.find(pat) == 0 and loop >= 0:
loop -= 1
if len(pat)+1 >= len(path_str):
return False
path_str = path_str[len(pat)+1:]
if loop < 0:
pat = " => ".join([p.split(":")[0] for p in path[0:l]])
return pat + " => " + pat
return False
def get_prologue(self):
return self.components["begin"]["obj"]._param.prologue