266 lines
10 KiB
Python
266 lines
10 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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preflight.py —— ModelHub XC 引擎启动前兼容修补器（Iluvatar bi-100 · vLLM）
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在 vLLM 启动**之前**读取模型目录，把「引擎镜像层」的结构性不兼容修掉。
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判据全部来自真实失败日志（见 README.md「证据」一节）。
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已合并的两处**社区已上线修复**（来自 EngineX-Sunrise/enginex-S2-vllm-fix-tokenizer，
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dev=sunruoxi，2026-05-28 上线，已在曦望 S2 生产使用）：
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· extra_special_tokens: list -> dict
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· tokenizer_class 归一化（TokenizersBackend / TiktokenTokenizer -> 正常类）
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加上本引擎针对 Iluvatar bi-100 失败日志新增的三处：
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· R2 模型无 chat_template -> 注入默认 Jinja 模板
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· R4 architectures 是镜像未注册类名 -> --hf-overrides 别名映射
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· R7 镜像缺 ixformer.contrib.vllm.layers -> 纯 PyTorch shim（经 PYTHONPATH）
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输出：JSON {"extra_args": [...], "patches": [...], "overlay": "..."}
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extra_args 由 entrypoint.sh 追加到 `vllm serve` 之后。
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设计红线：
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* 绝不写模型目录（平台挂载的 /model 可能只读）；只用临时覆盖目录 + 命令行参数
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* 失败安全：任何一步异常只记 warning 并继续，最坏按原命令跑
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* 干净模型零改动：不加任何参数
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"""
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import argparse
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import json
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import os
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import shutil
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import sys
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import tempfile
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# ---------------------------------------------------------------------------
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# R4：已证实的「引擎镜像未注册 -> 已注册」架构别名表。只收有实证的，不猜。
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# ---------------------------------------------------------------------------
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ARCH_ALIASES = {
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# 信创模盒官方基线 README 明确要求改成这个（Qwen3.6 系列）
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"Qwen3_5MoeForConditionalGeneration": "Qwen3_5MoeForCausalLM",
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"Qwen3_5ForConditionalGeneration": "Qwen3_5ForCausalLM",
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# Gemma3 早期类名（寒武纪 mlu370 引擎实测 KeyError: 'gemma3_text'）
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"Gemma3ForConditionalGeneration": "Gemma3ForCausalLM",
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"Gemma3TextForCausalLM": "Gemma3ForCausalLM",
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}
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# 社区已上线的「坏 tokenizer_class」清单（来自 fix_tokenizer.py）
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BAD_TOKENIZER_CLASSES = ("TokenizersBackend", "TiktokenTokenizer")
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# tokenizer 相关文件：覆盖目录只需要这些
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TOKENIZER_FILES = (
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"tokenizer.json", "tokenizer_config.json", "special_tokens_map.json",
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"vocab.json", "merges.txt", "tokenizer.model", "added_tokens.json",
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"chat_template.jinja", "preprocessor_config.json",
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)
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# 权重文件后缀：永远不拷贝/软链进覆盖目录
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WEIGHT_SUFFIXES = (".safetensors", ".bin", ".gguf", ".pt", ".pth", ".msgpack",
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".h5", ".onnx", ".ckpt", ".npz", ".arrow")
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# R2：最小可用 Jinja 聊天模板（仅当模型自身没有时注入）
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DEFAULT_CHAT_TEMPLATE = (
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"{%- for message in messages -%}\n"
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"{{- '' + message['role'] + '\\n' + message['content'] + '\\n' -}}\n"
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"{%- endfor -%}\n"
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"{%- if add_generation_prompt -%}\n"
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"{{- 'assistant\\n' -}}\n"
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"{%- endif -%}\n"
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)
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def _log(msg):
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sys.stderr.write("[preflight] " + msg + "\n")
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sys.stderr.flush()
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def _load_json(path):
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try:
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with open(path, "r", encoding="utf-8") as f:
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return json.load(f)
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except Exception as e: # noqa: BLE001
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_log("WARN 读不到 %s: %s" % (path, e))
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return None
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def _dump_json(obj, path):
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try:
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with open(path, "w", encoding="utf-8") as f:
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json.dump(obj, f, ensure_ascii=False, indent=1)
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return True
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except Exception as e: # noqa: BLE001
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_log("WARN 写不了 %s: %s" % (path, e))
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return False
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def _build_overlay(model_dir, overlay):
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"""把 tokenizer 相关文件镜像进 overlay：优先软链，软链不可用则硬拷贝。
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权重文件一律不碰。"""
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tok_dir = os.path.join(overlay, "tokenizer")
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os.makedirs(tok_dir, exist_ok=True)
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n_link = n_copy = 0
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try:
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names = os.listdir(model_dir)
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except Exception as e: # noqa: BLE001
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_log("WARN listdir 失败 %s: %s" % (model_dir, e))
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return tok_dir, 0, 0
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# 1) 白名单 tokenizer 文件
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for name in TOKENIZER_FILES:
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s = os.path.join(model_dir, name)
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d = os.path.join(tok_dir, name)
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if not os.path.isfile(s) or os.path.exists(d) or os.path.islink(d):
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continue
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try:
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os.symlink(s, d)
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n_link += 1
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except Exception: # noqa: BLE001
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try:
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shutil.copy2(s, d)
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n_copy += 1
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except Exception as e: # noqa: BLE001
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_log("WARN 拷贝失败 %s: %s" % (s, e))
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# 2) 其余非权重文件也软链过去（chat_template.* / *.jinja 等），保证 vLLM 找得到
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for name in names:
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if name in TOKENIZER_FILES or name.lower().endswith(WEIGHT_SUFFIXES):
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continue
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s = os.path.join(model_dir, name)
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d = os.path.join(tok_dir, name)
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if os.path.exists(d) or os.path.islink(d):
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continue
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try:
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os.symlink(s, d)
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n_link += 1
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except Exception: # noqa: BLE001
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pass
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return tok_dir, n_link, n_copy
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def detect_tokenizer(model_dir):
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"""复刻社区 detect_tokenizer.py 的判定：fast / sentencepiece / bpe / unknown"""
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files = set()
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try:
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files = set(os.listdir(model_dir))
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except Exception: # noqa: BLE001
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pass
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if "tokenizer.json" in files:
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return "fast"
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if "tokenizer.model" in files:
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return "sentencepiece"
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if "vocab.json" in files and "merges.txt" in files:
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return "bpe"
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return "unknown"
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--model", default=os.environ.get("MODEL_DIR", "/model"))
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ap.add_argument("--api", default="", choices=["", "chat", "completion"])
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ap.add_argument("--out", default="")
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args = ap.parse_args()
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model_dir = args.model
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patches = []
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extra = []
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if not os.path.isdir(model_dir):
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res = {"extra_args": [], "patches": ["skip: 模型目录不存在 " + model_dir],
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"overlay": ""}
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_emit(res, args.out)
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return 0
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tok_cfg = _load_json(os.path.join(model_dir, "tokenizer_config.json"))
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cfg = _load_json(os.path.join(model_dir, "config.json"))
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tok_type = detect_tokenizer(model_dir)
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need_tok_fix = False
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if isinstance(tok_cfg, dict):
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# 社区已上线的两条判据
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if isinstance(tok_cfg.get("extra_special_tokens"), list):
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need_tok_fix = True
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if tok_cfg.get("tokenizer_class") in BAD_TOKENIZER_CLASSES:
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need_tok_fix = True
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overlay = ""
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tok_dir = ""
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if need_tok_fix:
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overlay = tempfile.mkdtemp(prefix="mhxc_compat_")
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tok_dir, nlk, ncp = _build_overlay(model_dir, overlay)
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cfg_path = os.path.join(tok_dir, "tokenizer_config.json")
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fixed = dict(tok_cfg)
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# (a) extra_special_tokens list -> dict（与社区上线版同形：token -> token）
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if isinstance(fixed.get("extra_special_tokens"), list):
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orig = fixed["extra_special_tokens"]
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fixed["extra_special_tokens"] = {t: t for t in orig}
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patches.append("R3: extra_special_tokens list(%d) -> dict" % len(orig))
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# (b) tokenizer_class 归一化
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oc = fixed.get("tokenizer_class")
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if oc in BAD_TOKENIZER_CLASSES:
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if tok_type == "sentencepiece":
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fixed["tokenizer_class"] = "LlamaTokenizer"
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else:
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fixed["tokenizer_class"] = "PreTrainedTokenizerFast"
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fixed["from_slow"] = False
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fixed.pop("backend", None)
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patches.append("R3b: tokenizer_class %s -> %s" % (oc, fixed["tokenizer_class"]))
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if _dump_json(fixed, cfg_path):
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extra += ["--tokenizer", tok_dir]
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patches.append("覆盖 tokenizer 目录 %s（软链 %d / 拷贝 %d，权重未碰）" % (tok_dir, nlk, ncp))
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else:
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patches.append("R3: 想修但写覆盖目录失败，按原样跑")
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# ---------------- R2：模型无 chat_template -> 注入默认模板 ---------------
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if args.api != "completion":
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has_tpl = isinstance(tok_cfg, dict) and bool(tok_cfg.get("chat_template"))
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has_tpl_file = False
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try:
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has_tpl_file = any(f.startswith("chat_template") for f in os.listdir(model_dir))
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except Exception: # noqa: BLE001
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pass
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if not has_tpl and not has_tpl_file:
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if not overlay:
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overlay = tempfile.mkdtemp(prefix="mhxc_compat_")
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tpl = os.path.join(overlay, "default_chat_template.jinja")
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try:
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with open(tpl, "w", encoding="utf-8") as f:
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f.write(DEFAULT_CHAT_TEMPLATE)
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extra += ["--chat-template", tpl]
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patches.append("R2: 模型无 chat_template，注入默认模板 %s" % tpl)
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except Exception as e: # noqa: BLE001
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patches.append("R2: 想注入模板但失败 %s" % e)
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# ---------------- R4：architectures 未注册 -> --hf-overrides -------------
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if isinstance(cfg, dict):
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archs = cfg.get("architectures") or []
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if isinstance(archs, str):
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archs = [archs]
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if archs and archs[0] in ARCH_ALIASES:
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new = ARCH_ALIASES[archs[0]]
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extra += ["--hf-overrides",
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json.dumps({"architectures": [new]}, separators=(",", ":"))]
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patches.append("R4: architectures %s -> %s" % (archs[0], new))
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# ---------------- R7：缺模块 -> PYTHONPATH 注入 shims --------------------
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shim_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "shims")
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if os.path.isdir(shim_dir):
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prev = os.environ.get("PYTHONPATH", "")
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os.environ["PYTHONPATH"] = shim_dir + (os.pathsep + prev if prev else "")
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patches.append("R7: PYTHONPATH += %s" % shim_dir)
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_emit({"model": model_dir, "api": args.api, "extra_args": extra,
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"patches": patches, "overlay": overlay, "tokenizer_override": tok_dir},
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args.out)
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_log("patches=%d %s" % (len(patches), " | ".join(patches) if patches else "(无需修补)"))
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return 0
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def _emit(res, out_path):
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txt = json.dumps(res, ensure_ascii=False, indent=1)
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if out_path:
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try:
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with open(out_path, "w", encoding="utf-8") as f:
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f.write(txt)
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except Exception as e: # noqa: BLE001
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_log("WARN 写 %s 失败: %s" % (out_path, e))
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sys.stdout.write(txt + "\n")
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if __name__ == "__main__":
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sys.exit(main())
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