"""Quick test for SemanticRouter similarity on colloquial queries."""
import asyncio
import os
import dotenv

dotenv.load_dotenv()

from agentkit.chat.semantic_router import SemanticRouter
from agentkit.memory.embedder import OpenAIEmbedder
from agentkit.skills.registry import SkillRegistry
from agentkit.skills.loader import SkillLoader
from agentkit.server.config import ServerConfig

config = ServerConfig.from_yaml("agentkit.yaml")
key = os.environ.get("DASHSCOPE_API_KEY", "")
# Set API key and base_url for the first provider that needs it
for name, pconf in config.llm_config.providers.items():
    if not pconf.api_key and key:
        pconf.api_key = key
    if not pconf.base_url:
        pconf.base_url = "https://dashscope.aliyuncs.com/compatible-mode/v1"
    break

provider = config.llm_config.providers.get("test") or list(config.llm_config.providers.values())[0]
print(f"Using provider: api_key_len={len(provider.api_key)}, base_url={provider.base_url}")

embedder = OpenAIEmbedder(
    api_key=provider.api_key,
    base_url=provider.base_url,
    model="text-embedding-v3",
)

router = SemanticRouter(embedder=embedder, similarity_low=0.4)
sr = SkillRegistry()
loader = SkillLoader(sr)
skills = loader.load_from_directory("configs/skills")
print(f"Loaded {len(skills)} skills: {[s.name for s in skills]}")

asyncio.run(router.build_index(sr))
print(f"SemanticRouter index size: {router._index.size}")

queries = [
    "帮我看看代码有没有问题",
    "对手怎么样",
    "帮我写点东西",
    "这个引用对不对",
    "最近市场行情怎么样",
    "review一下这段代码",
    "做个SEO优化",
    "monitor一下系统状态",
    "审查代码",
    "分析竞品策略",
]
for q in queries:
    result = asyncio.run(router.route(q))
    print(f"{q:30s} -> skill={str(result.skill_name):25s} sim={result.similarity:.3f} conf={result.confidence}")