59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
import os, sys, requests
|
||
|
||
src_dir = os.path.join(
|
||
os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||
)
|
||
# src_dir = os.path.join(
|
||
# os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
|
||
# )
|
||
sys.path.append(src_dir)
|
||
|
||
from dev_opsgpt.tools import (
|
||
toLangchainTools, get_tool_schema, DDGSTool, DocRetrieval,
|
||
TOOL_DICT, TOOL_SETS
|
||
)
|
||
|
||
from configs.model_config import *
|
||
from dev_opsgpt.connector.phase import BasePhase
|
||
from dev_opsgpt.connector.agents import BaseAgent
|
||
from dev_opsgpt.connector.chains import BaseChain
|
||
from dev_opsgpt.connector.schema import (
|
||
Message, load_role_configs, load_phase_configs, load_chain_configs
|
||
)
|
||
from dev_opsgpt.connector.configs import AGETN_CONFIGS, CHAIN_CONFIGS, PHASE_CONFIGS
|
||
import importlib
|
||
|
||
print(src_dir)
|
||
|
||
# tools = toLangchainTools([TOOL_DICT[i] for i in TOOL_SETS if i in TOOL_DICT])
|
||
|
||
TOOL_SETS = [
|
||
"StockName", "StockInfo",
|
||
]
|
||
|
||
tools = toLangchainTools([TOOL_DICT[i] for i in TOOL_SETS if i in TOOL_DICT])
|
||
|
||
|
||
role_configs = load_role_configs(AGETN_CONFIGS)
|
||
chain_configs = load_chain_configs(CHAIN_CONFIGS)
|
||
phase_configs = load_phase_configs(PHASE_CONFIGS)
|
||
|
||
agent_module = importlib.import_module("dev_opsgpt.connector.agents")
|
||
|
||
phase_name = "codeToolReactPhase"
|
||
phase = BasePhase(phase_name,
|
||
task = None,
|
||
phase_config = PHASE_CONFIGS,
|
||
chain_config = CHAIN_CONFIGS,
|
||
role_config = AGETN_CONFIGS,
|
||
do_summary=False,
|
||
do_code_retrieval=False,
|
||
do_doc_retrieval=True,
|
||
do_search=False,
|
||
)
|
||
|
||
query_content = "查询贵州茅台的股票代码，并查询截止到当前日期(2023年12月24日)的最近10天的每日时序数据，然后对时序数据画出折线图并分析"
|
||
|
||
query = Message(role_name="human", role_type="user", input_query=query_content, role_content=query_content, origin_query=query_content, tools=tools)
|
||
|
||
output_message = phase.step(query) |