Files
ragflow/test/testcases/configs.py
Billy Bao 19f71a961a Fix: Create dataset performance unmatched between HTTP api and web ui (#10960)
### What problem does this PR solve?

Fix: Create dataset performance unmatched between HTTP api and web ui
#10925

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-11-04 13:45:14 +08:00

65 lines
2.2 KiB
Python

#
# 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 os
import pytest
HOST_ADDRESS = os.getenv("HOST_ADDRESS", "http://127.0.0.1:9380")
VERSION = "v1"
ZHIPU_AI_API_KEY = os.getenv("ZHIPU_AI_API_KEY")
if ZHIPU_AI_API_KEY is None:
pytest.exit("Error: Environment variable ZHIPU_AI_API_KEY must be set")
EMAIL = "qa@infiniflow.org"
# password is "123"
PASSWORD = """ctAseGvejiaSWWZ88T/m4FQVOpQyUvP+x7sXtdv3feqZACiQleuewkUi35E16wSd5C5QcnkkcV9cYc8TKPTRZlxappDuirxghxoOvFcJxFU4ixLsD
fN33jCHRoDUW81IH9zjij/vaw8IbVyb6vuwg6MX6inOEBRRzVbRYxXOu1wkWY6SsI8X70oF9aeLFp/PzQpjoe/YbSqpTq8qqrmHzn9vO+yvyYyvmDsphXe
X8f7fp9c7vUsfOCkM+gHY3PadG+QHa7KI7mzTKgUTZImK6BZtfRBATDTthEUbbaTewY4H0MnWiCeeDhcbeQao6cFy1To8pE3RpmxnGnS8BsBn8w=="""
INVALID_API_TOKEN = "invalid_key_123"
DATASET_NAME_LIMIT = 128
DOCUMENT_NAME_LIMIT = 255
CHAT_ASSISTANT_NAME_LIMIT = 255
SESSION_WITH_CHAT_NAME_LIMIT = 255
DEFAULT_PARSER_CONFIG = {
"layout_recognize": "DeepDOC",
"chunk_token_num": 512,
"delimiter": "\n",
"auto_keywords": 0,
"auto_questions": 0,
"html4excel": False,
"topn_tags": 3,
"raptor": {
"use_raptor": True,
"prompt": "Please summarize the following paragraphs. Be careful with the numbers, do not make things up. Paragraphs as following:\n {cluster_content}\nThe above is the content you need to summarize.",
"max_token": 256,
"threshold": 0.1,
"max_cluster": 64,
"random_seed": 0,
},
"graphrag": {
"use_graphrag": True,
"entity_types": [
"organization",
"person",
"geo",
"event",
"category",
],
"method": "light",
},
}