ragflow / agent /test /client.py
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#
# 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 argparse
import os
from functools import partial
from agent.canvas import Canvas
from agent.settings import DEBUG
if __name__ == '__main__':
parser = argparse.ArgumentParser()
dsl_default_path = os.path.join(
os.path.dirname(os.path.realpath(__file__)),
"dsl_examples",
"retrieval_and_generate.json",
)
parser.add_argument('-s', '--dsl', default=dsl_default_path, help="input dsl", action='store', required=True)
parser.add_argument('-t', '--tenant_id', default=False, help="Tenant ID", action='store', required=True)
parser.add_argument('-m', '--stream', default=False, help="Stream output", action='store_true', required=False)
args = parser.parse_args()
canvas = Canvas(open(args.dsl, "r").read(), args.tenant_id)
while True:
ans = canvas.run(stream=args.stream)
print("==================== Bot =====================\n> ", end='')
if args.stream and isinstance(ans, partial):
cont = ""
for an in ans():
print(an["content"][len(cont):], end='', flush=True)
cont = an["content"]
else:
print(ans["content"])
if DEBUG: print(canvas.path)
question = input("\n==================== User =====================\n> ")
canvas.add_user_input(question)