MiroFish / backend /scripts /test_profile_format.py
Codex Deploy
Deploy MiroFish to HF Space
ebdfd3b
"""
测试Profile格式生成是否符合OASIS要求
验证:
1. Twitter Profile生成CSV格式
2. Reddit Profile生成JSON详细格式
"""
import os
import sys
import json
import csv
import tempfile
# 添加项目路径
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from app.services.oasis_profile_generator import OasisProfileGenerator, OasisAgentProfile
def test_profile_formats():
"""测试Profile格式"""
print("=" * 60)
print("OASIS Profile格式测试")
print("=" * 60)
# 创建测试Profile数据
test_profiles = [
OasisAgentProfile(
user_id=0,
user_name="test_user_123",
name="Test User",
bio="A test user for validation",
persona="Test User is an enthusiastic participant in social discussions.",
karma=1500,
friend_count=100,
follower_count=200,
statuses_count=500,
age=25,
gender="male",
mbti="INTJ",
country="China",
profession="Student",
interested_topics=["Technology", "Education"],
source_entity_uuid="test-uuid-123",
source_entity_type="Student",
),
OasisAgentProfile(
user_id=1,
user_name="org_official_456",
name="Official Organization",
bio="Official account for Organization",
persona="This is an official institutional account that communicates official positions.",
karma=5000,
friend_count=50,
follower_count=10000,
statuses_count=200,
profession="Organization",
interested_topics=["Public Policy", "Announcements"],
source_entity_uuid="test-uuid-456",
source_entity_type="University",
),
]
generator = OasisProfileGenerator.__new__(OasisProfileGenerator)
# 使用临时目录
with tempfile.TemporaryDirectory() as temp_dir:
twitter_path = os.path.join(temp_dir, "twitter_profiles.csv")
reddit_path = os.path.join(temp_dir, "reddit_profiles.json")
# 测试Twitter CSV格式
print("\n1. 测试Twitter Profile (CSV格式)")
print("-" * 40)
generator._save_twitter_csv(test_profiles, twitter_path)
# 读取并验证CSV
with open(twitter_path, 'r', encoding='utf-8') as f:
reader = csv.DictReader(f)
rows = list(reader)
print(f" 文件: {twitter_path}")
print(f" 行数: {len(rows)}")
print(f" 表头: {list(rows[0].keys())}")
print(f"\n 示例数据 (第1行):")
for key, value in rows[0].items():
print(f" {key}: {value}")
# 验证必需字段
required_twitter_fields = ['user_id', 'user_name', 'name', 'bio',
'friend_count', 'follower_count', 'statuses_count', 'created_at']
missing = set(required_twitter_fields) - set(rows[0].keys())
if missing:
print(f"\n [错误] 缺少字段: {missing}")
else:
print(f"\n [通过] 所有必需字段都存在")
# 测试Reddit JSON格式
print("\n2. 测试Reddit Profile (JSON详细格式)")
print("-" * 40)
generator._save_reddit_json(test_profiles, reddit_path)
# 读取并验证JSON
with open(reddit_path, 'r', encoding='utf-8') as f:
reddit_data = json.load(f)
print(f" 文件: {reddit_path}")
print(f" 条目数: {len(reddit_data)}")
print(f" 字段: {list(reddit_data[0].keys())}")
print(f"\n 示例数据 (第1条):")
print(json.dumps(reddit_data[0], ensure_ascii=False, indent=4))
# 验证详细格式字段
required_reddit_fields = ['realname', 'username', 'bio', 'persona']
optional_reddit_fields = ['age', 'gender', 'mbti', 'country', 'profession', 'interested_topics']
missing = set(required_reddit_fields) - set(reddit_data[0].keys())
if missing:
print(f"\n [错误] 缺少必需字段: {missing}")
else:
print(f"\n [通过] 所有必需字段都存在")
present_optional = set(optional_reddit_fields) & set(reddit_data[0].keys())
print(f" [信息] 可选字段: {present_optional}")
print("\n" + "=" * 60)
print("测试完成!")
print("=" * 60)
def show_expected_formats():
"""显示OASIS期望的格式"""
print("\n" + "=" * 60)
print("OASIS 期望的Profile格式参考")
print("=" * 60)
print("\n1. Twitter Profile (CSV格式)")
print("-" * 40)
twitter_example = """user_id,user_name,name,bio,friend_count,follower_count,statuses_count,created_at
0,user0,User Zero,I am user zero with interests in technology.,100,150,500,2023-01-01
1,user1,User One,Tech enthusiast and coffee lover.,200,250,1000,2023-01-02"""
print(twitter_example)
print("\n2. Reddit Profile (JSON详细格式)")
print("-" * 40)
reddit_example = [
{
"realname": "James Miller",
"username": "millerhospitality",
"bio": "Passionate about hospitality & tourism.",
"persona": "James is a seasoned professional in the Hospitality & Tourism industry...",
"age": 40,
"gender": "male",
"mbti": "ESTJ",
"country": "UK",
"profession": "Hospitality & Tourism",
"interested_topics": ["Economics", "Business"]
}
]
print(json.dumps(reddit_example, ensure_ascii=False, indent=2))
if __name__ == "__main__":
test_profile_formats()
show_expected_formats()