3cc5e3f479
- Updated simulation preparation checks to exclude script files from the required files list, improving clarity on file management. - Implemented a robust retry mechanism for Zep API calls in the ZepEntityReader service, enhancing reliability. - Enhanced logging in simulation scripts to provide clearer insights into the simulation process and errors. - Updated simulation runner to manage stdout and stderr logs more effectively, ensuring better error tracking. - Improved profile generation to standardize gender fields and ensure all required fields are populated correctly.
398 lines
13 KiB
Python
398 lines
13 KiB
Python
"""
|
||
OASIS Twitter模拟预设脚本
|
||
此脚本读取配置文件中的参数来执行模拟，实现全程自动化
|
||
|
||
使用方式:
|
||
python run_twitter_simulation.py --config /path/to/simulation_config.json
|
||
"""
|
||
|
||
import argparse
|
||
import asyncio
|
||
import json
|
||
import logging
|
||
import os
|
||
import random
|
||
import sys
|
||
from datetime import datetime
|
||
from typing import Dict, Any, List
|
||
|
||
# 添加项目路径
|
||
_scripts_dir = os.path.dirname(os.path.abspath(__file__))
|
||
_backend_dir = os.path.abspath(os.path.join(_scripts_dir, '..'))
|
||
_project_root = os.path.abspath(os.path.join(_backend_dir, '..'))
|
||
sys.path.insert(0, _scripts_dir)
|
||
sys.path.insert(0, _backend_dir)
|
||
|
||
# 加载项目根目录的 .env 文件（包含 LLM_API_KEY 等配置）
|
||
from dotenv import load_dotenv
|
||
_env_file = os.path.join(_project_root, '.env')
|
||
if os.path.exists(_env_file):
|
||
load_dotenv(_env_file)
|
||
else:
|
||
_backend_env = os.path.join(_backend_dir, '.env')
|
||
if os.path.exists(_backend_env):
|
||
load_dotenv(_backend_env)
|
||
|
||
|
||
import re
|
||
|
||
|
||
class UnicodeFormatter(logging.Formatter):
|
||
"""自定义格式化器，将 Unicode 转义序列转换为可读字符"""
|
||
|
||
UNICODE_ESCAPE_PATTERN = re.compile(r'\\u([0-9a-fA-F]{4})')
|
||
|
||
def format(self, record):
|
||
result = super().format(record)
|
||
|
||
def replace_unicode(match):
|
||
try:
|
||
return chr(int(match.group(1), 16))
|
||
except (ValueError, OverflowError):
|
||
return match.group(0)
|
||
|
||
return self.UNICODE_ESCAPE_PATTERN.sub(replace_unicode, result)
|
||
|
||
|
||
def setup_oasis_logging(log_dir: str):
|
||
"""配置 OASIS 的日志，使用固定名称的日志文件"""
|
||
os.makedirs(log_dir, exist_ok=True)
|
||
|
||
# 清理旧的日志文件
|
||
for f in os.listdir(log_dir):
|
||
old_log = os.path.join(log_dir, f)
|
||
if os.path.isfile(old_log) and f.endswith('.log'):
|
||
try:
|
||
os.remove(old_log)
|
||
except OSError:
|
||
pass
|
||
|
||
formatter = UnicodeFormatter("%(levelname)s - %(asctime)s - %(name)s - %(message)s")
|
||
|
||
loggers_config = {
|
||
"social.agent": os.path.join(log_dir, "social.agent.log"),
|
||
"social.twitter": os.path.join(log_dir, "social.twitter.log"),
|
||
"social.rec": os.path.join(log_dir, "social.rec.log"),
|
||
"oasis.env": os.path.join(log_dir, "oasis.env.log"),
|
||
"table": os.path.join(log_dir, "table.log"),
|
||
}
|
||
|
||
for logger_name, log_file in loggers_config.items():
|
||
logger = logging.getLogger(logger_name)
|
||
logger.setLevel(logging.DEBUG)
|
||
logger.handlers.clear()
|
||
file_handler = logging.FileHandler(log_file, encoding='utf-8', mode='w')
|
||
file_handler.setLevel(logging.DEBUG)
|
||
file_handler.setFormatter(formatter)
|
||
logger.addHandler(file_handler)
|
||
logger.propagate = False
|
||
|
||
|
||
try:
|
||
from camel.models import ModelFactory
|
||
from camel.types import ModelPlatformType
|
||
import oasis
|
||
from oasis import (
|
||
ActionType,
|
||
LLMAction,
|
||
ManualAction,
|
||
generate_twitter_agent_graph
|
||
)
|
||
except ImportError as e:
|
||
print(f"错误: 缺少依赖 {e}")
|
||
print("请先安装: pip install oasis-ai camel-ai")
|
||
sys.exit(1)
|
||
|
||
|
||
class TwitterSimulationRunner:
|
||
"""Twitter模拟运行器"""
|
||
|
||
# Twitter可用动作
|
||
AVAILABLE_ACTIONS = [
|
||
ActionType.CREATE_POST,
|
||
ActionType.LIKE_POST,
|
||
ActionType.REPOST,
|
||
ActionType.FOLLOW,
|
||
ActionType.DO_NOTHING,
|
||
ActionType.QUOTE_POST,
|
||
]
|
||
|
||
def __init__(self, config_path: str):
|
||
"""
|
||
初始化模拟运行器
|
||
|
||
Args:
|
||
config_path: 配置文件路径 (simulation_config.json)
|
||
"""
|
||
self.config_path = config_path
|
||
self.config = self._load_config()
|
||
self.simulation_dir = os.path.dirname(config_path)
|
||
|
||
def _load_config(self) -> Dict[str, Any]:
|
||
"""加载配置文件"""
|
||
with open(self.config_path, 'r', encoding='utf-8') as f:
|
||
return json.load(f)
|
||
|
||
def _get_profile_path(self) -> str:
|
||
"""获取Profile文件路径（OASIS Twitter使用CSV格式）"""
|
||
return os.path.join(self.simulation_dir, "twitter_profiles.csv")
|
||
|
||
def _get_db_path(self) -> str:
|
||
"""获取数据库路径"""
|
||
return os.path.join(self.simulation_dir, "twitter_simulation.db")
|
||
|
||
def _create_model(self):
|
||
"""
|
||
创建LLM模型
|
||
|
||
统一使用项目根目录 .env 文件中的配置（优先级最高）：
|
||
- LLM_API_KEY: API密钥
|
||
- LLM_BASE_URL: API基础URL
|
||
- LLM_MODEL_NAME: 模型名称
|
||
"""
|
||
# 优先从 .env 读取配置
|
||
llm_api_key = os.environ.get("LLM_API_KEY", "")
|
||
llm_base_url = os.environ.get("LLM_BASE_URL", "")
|
||
llm_model = os.environ.get("LLM_MODEL_NAME", "")
|
||
|
||
# 如果 .env 中没有，则使用 config 作为备用
|
||
if not llm_model:
|
||
llm_model = self.config.get("llm_model", "gpt-4o-mini")
|
||
|
||
# 设置 camel-ai 所需的环境变量
|
||
if llm_api_key:
|
||
os.environ["OPENAI_API_KEY"] = llm_api_key
|
||
|
||
if not os.environ.get("OPENAI_API_KEY"):
|
||
raise ValueError("缺少 API Key 配置，请在项目根目录 .env 文件中设置 LLM_API_KEY")
|
||
|
||
if llm_base_url:
|
||
os.environ["OPENAI_API_BASE_URL"] = llm_base_url
|
||
|
||
print(f"LLM配置: model={llm_model}, base_url={llm_base_url[:40] if llm_base_url else '默认'}...")
|
||
|
||
return ModelFactory.create(
|
||
model_platform=ModelPlatformType.OPENAI,
|
||
model_type=llm_model,
|
||
)
|
||
|
||
def _get_active_agents_for_round(
|
||
self,
|
||
env,
|
||
current_hour: int,
|
||
round_num: int
|
||
) -> List:
|
||
"""
|
||
根据时间和配置决定本轮激活哪些Agent
|
||
|
||
Args:
|
||
env: OASIS环境
|
||
current_hour: 当前模拟小时（0-23）
|
||
round_num: 当前轮数
|
||
|
||
Returns:
|
||
激活的Agent列表
|
||
"""
|
||
time_config = self.config.get("time_config", {})
|
||
agent_configs = self.config.get("agent_configs", [])
|
||
|
||
# 基础激活数量
|
||
base_min = time_config.get("agents_per_hour_min", 5)
|
||
base_max = time_config.get("agents_per_hour_max", 20)
|
||
|
||
# 根据时段调整
|
||
peak_hours = time_config.get("peak_hours", [9, 10, 11, 14, 15, 20, 21, 22])
|
||
off_peak_hours = time_config.get("off_peak_hours", [0, 1, 2, 3, 4, 5])
|
||
|
||
if current_hour in peak_hours:
|
||
multiplier = time_config.get("peak_activity_multiplier", 1.5)
|
||
elif current_hour in off_peak_hours:
|
||
multiplier = time_config.get("off_peak_activity_multiplier", 0.3)
|
||
else:
|
||
multiplier = 1.0
|
||
|
||
target_count = int(random.uniform(base_min, base_max) * multiplier)
|
||
|
||
# 根据每个Agent的配置计算激活概率
|
||
candidates = []
|
||
for cfg in agent_configs:
|
||
agent_id = cfg.get("agent_id", 0)
|
||
active_hours = cfg.get("active_hours", list(range(8, 23)))
|
||
activity_level = cfg.get("activity_level", 0.5)
|
||
|
||
# 检查是否在活跃时间
|
||
if current_hour not in active_hours:
|
||
continue
|
||
|
||
# 根据活跃度计算概率
|
||
if random.random() < activity_level:
|
||
candidates.append(agent_id)
|
||
|
||
# 随机选择
|
||
selected_ids = random.sample(
|
||
candidates,
|
||
min(target_count, len(candidates))
|
||
) if candidates else []
|
||
|
||
# 转换为Agent对象
|
||
active_agents = []
|
||
for agent_id in selected_ids:
|
||
try:
|
||
agent = env.agent_graph.get_agent(agent_id)
|
||
active_agents.append((agent_id, agent))
|
||
except Exception:
|
||
pass
|
||
|
||
return active_agents
|
||
|
||
async def run(self):
|
||
"""运行Twitter模拟"""
|
||
print("=" * 60)
|
||
print("OASIS Twitter模拟")
|
||
print(f"配置文件: {self.config_path}")
|
||
print(f"模拟ID: {self.config.get('simulation_id', 'unknown')}")
|
||
print("=" * 60)
|
||
|
||
# 加载时间配置
|
||
time_config = self.config.get("time_config", {})
|
||
total_hours = time_config.get("total_simulation_hours", 72)
|
||
minutes_per_round = time_config.get("minutes_per_round", 30)
|
||
|
||
# 计算总轮数
|
||
total_rounds = (total_hours * 60) // minutes_per_round
|
||
|
||
print(f"\n模拟参数:")
|
||
print(f" - 总模拟时长: {total_hours}小时")
|
||
print(f" - 每轮时间: {minutes_per_round}分钟")
|
||
print(f" - 总轮数: {total_rounds}")
|
||
print(f" - Agent数量: {len(self.config.get('agent_configs', []))}")
|
||
|
||
# 创建模型
|
||
print("\n初始化LLM模型...")
|
||
model = self._create_model()
|
||
|
||
# 加载Agent图
|
||
print("加载Agent Profile...")
|
||
profile_path = self._get_profile_path()
|
||
if not os.path.exists(profile_path):
|
||
print(f"错误: Profile文件不存在: {profile_path}")
|
||
return
|
||
|
||
agent_graph = await generate_twitter_agent_graph(
|
||
profile_path=profile_path,
|
||
model=model,
|
||
available_actions=self.AVAILABLE_ACTIONS,
|
||
)
|
||
|
||
# 数据库路径
|
||
db_path = self._get_db_path()
|
||
if os.path.exists(db_path):
|
||
os.remove(db_path)
|
||
print(f"已删除旧数据库: {db_path}")
|
||
|
||
# 创建环境
|
||
print("创建OASIS环境...")
|
||
env = oasis.make(
|
||
agent_graph=agent_graph,
|
||
platform=oasis.DefaultPlatformType.TWITTER,
|
||
database_path=db_path,
|
||
)
|
||
|
||
await env.reset()
|
||
print("环境初始化完成\n")
|
||
|
||
# 执行初始事件
|
||
event_config = self.config.get("event_config", {})
|
||
initial_posts = event_config.get("initial_posts", [])
|
||
|
||
if initial_posts:
|
||
print(f"执行初始事件 ({len(initial_posts)}条初始帖子)...")
|
||
initial_actions = {}
|
||
for post in initial_posts:
|
||
agent_id = post.get("poster_agent_id", 0)
|
||
content = post.get("content", "")
|
||
try:
|
||
agent = env.agent_graph.get_agent(agent_id)
|
||
initial_actions[agent] = ManualAction(
|
||
action_type=ActionType.CREATE_POST,
|
||
action_args={"content": content}
|
||
)
|
||
except Exception as e:
|
||
print(f" 警告: 无法为Agent {agent_id}创建初始帖子: {e}")
|
||
|
||
if initial_actions:
|
||
await env.step(initial_actions)
|
||
print(f" 已发布 {len(initial_actions)} 条初始帖子")
|
||
|
||
# 主模拟循环
|
||
print("\n开始模拟循环...")
|
||
start_time = datetime.now()
|
||
|
||
for round_num in range(total_rounds):
|
||
# 计算当前模拟时间
|
||
simulated_minutes = round_num * minutes_per_round
|
||
simulated_hour = (simulated_minutes // 60) % 24
|
||
simulated_day = simulated_minutes // (60 * 24) + 1
|
||
|
||
# 获取本轮激活的Agent
|
||
active_agents = self._get_active_agents_for_round(
|
||
env, simulated_hour, round_num
|
||
)
|
||
|
||
if not active_agents:
|
||
continue
|
||
|
||
# 构建动作
|
||
actions = {
|
||
agent: LLMAction()
|
||
for _, agent in active_agents
|
||
}
|
||
|
||
# 执行动作
|
||
await env.step(actions)
|
||
|
||
# 打印进度
|
||
if (round_num + 1) % 10 == 0 or round_num == 0:
|
||
elapsed = (datetime.now() - start_time).total_seconds()
|
||
progress = (round_num + 1) / total_rounds * 100
|
||
print(f" [Day {simulated_day}, {simulated_hour:02d}:00] "
|
||
f"Round {round_num + 1}/{total_rounds} ({progress:.1f}%) "
|
||
f"- {len(active_agents)} agents active "
|
||
f"- elapsed: {elapsed:.1f}s")
|
||
|
||
# 关闭环境
|
||
await env.close()
|
||
|
||
total_elapsed = (datetime.now() - start_time).total_seconds()
|
||
print(f"\n模拟完成!")
|
||
print(f" - 总耗时: {total_elapsed:.1f}秒")
|
||
print(f" - 数据库: {db_path}")
|
||
print("=" * 60)
|
||
|
||
|
||
async def main():
|
||
parser = argparse.ArgumentParser(description='OASIS Twitter模拟')
|
||
parser.add_argument(
|
||
'--config',
|
||
type=str,
|
||
required=True,
|
||
help='配置文件路径 (simulation_config.json)'
|
||
)
|
||
|
||
args = parser.parse_args()
|
||
|
||
if not os.path.exists(args.config):
|
||
print(f"错误: 配置文件不存在: {args.config}")
|
||
sys.exit(1)
|
||
|
||
# 初始化日志配置（使用固定文件名，清理旧日志）
|
||
simulation_dir = os.path.dirname(args.config) or "."
|
||
setup_oasis_logging(os.path.join(simulation_dir, "log"))
|
||
|
||
runner = TwitterSimulationRunner(args.config)
|
||
await runner.run()
|
||
|
||
|
||
if __name__ == "__main__":
|
||
asyncio.run(main())
|
||
|