#!/usr/bin/env python3
"""最小 OpenAI 兼容 embeddings mock —— 无真实 embedding key 时验证 RAG 链路。
确定性"词法向量"：把文本的字 + 字bigram 哈希进固定维向量并归一化，
词面重叠越多余弦越高（足以演示"查询召回相关文档"）。真实语义需插真实 embedding API。
  GET  /models       → 200
  POST /embeddings   → {data:[{embedding:[...]}]}
用法: python3 scripts/mock_embeddings.py 11888
"""
import hashlib
import json
import math
import sys
from http.server import BaseHTTPRequestHandler, HTTPServer

DIM = 256


def embed(text: str):
    vec = [0.0] * DIM
    t = text.strip()
    toks = list(t) + [t[i:i + 2] for i in range(len(t) - 1)]  # 字 + 字bigram
    for tok in toks:
        h = int(hashlib.md5(tok.encode("utf-8")).hexdigest(), 16)
        vec[h % DIM] += 1.0
    norm = math.sqrt(sum(x * x for x in vec)) or 1.0
    return [x / norm for x in vec]


class H(BaseHTTPRequestHandler):
    def log_message(self, *a):
        pass

    def do_GET(self):
        if self.path.endswith("/models"):
            body = json.dumps({"object": "list", "data": [{"id": "mock-embed"}]}).encode()
            self.send_response(200)
            self.send_header("Content-Type", "application/json")
            self.send_header("Content-Length", str(len(body)))
            self.end_headers()
            self.wfile.write(body)
        else:
            self.send_response(404)
            self.end_headers()

    def do_POST(self):
        n = int(self.headers.get("Content-Length", 0))
        req = json.loads(self.rfile.read(n) or b"{}")
        inp = req.get("input", [])
        if isinstance(inp, str):
            inp = [inp]
        data = [{"object": "embedding", "index": i, "embedding": embed(t)} for i, t in enumerate(inp)]
        body = json.dumps({"object": "list", "data": data, "model": req.get("model", "mock-embed")}).encode()
        sys.stderr.write(f"[mock-embed] /embeddings n={len(inp)} dim={DIM}\n")
        sys.stderr.flush()
        self.send_response(200)
        self.send_header("Content-Type", "application/json")
        self.send_header("Content-Length", str(len(body)))
        self.end_headers()
        self.wfile.write(body)


if __name__ == "__main__":
    port = int(sys.argv[1]) if len(sys.argv) > 1 else 11888
    print(f"[mock-embed] listening on :{port} (dim={DIM})")
    HTTPServer(("127.0.0.1", port), H).serve_forever()