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submmit/modelhub_submmit_api/template_selector.py

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2026-07-10 00:22:50 +08:00
from __future__ import annotations
import json
import re
import os
from pathlib import Path
from models import TemplateRecord
MODULE_DIR = Path(__file__).resolve().parent
DEFAULT_TEMPLATE_FILE_NAME = "adapt_task_templates.jsonl"
DEFAULT_TEMPLATE_RELATIVE_CANDIDATES = (
Path("templates/public_submit") / DEFAULT_TEMPLATE_FILE_NAME,
Path("model adaptation/templates/public_submit") / DEFAULT_TEMPLATE_FILE_NAME,
)
def _normalize_token(value: str) -> str:
return re.sub(r"[^a-z0-9]", "", value.lower())
GPU_ALIASES = {
"k100": "hygon_k100-ai",
"k100ai": "hygon_k100-ai",
"hygonk100ai": "hygon_k100-ai",
"hygon_k100ai": "hygon_k100-ai",
"hygonk100": "hygon_k100-ai",
"s4000": "Mthreads_s4000",
"mthreadss4000": "Mthreads_s4000",
"bi150": "Iluvatar_bi-150",
"iluvatarbi150": "Iluvatar_bi-150",
"bi100": "Iluvatar_bi-100",
"iluvatarbi100": "Iluvatar_bi-100",
"mrv100": "Iluvatar_mrv-100",
"iluvatarmrv100": "Iluvatar_mrv-100",
"metaxc500": "MetaX_c-500",
"c500": "MetaX_c-500",
"kunlunxinp800": "Kunlunxin_p-800",
"p800": "Kunlunxin_p-800",
"kunlunxinr2008f": "Kunlunxin_r-200-8f",
"r2008f": "Kunlunxin_r-200-8f",
"ascend910b3": "Ascend_910-b3",
"910b3": "Ascend_910-b3",
"ascend910b4": "Ascend_910-b4",
"910b4": "Ascend_910-b4",
"bieren166m": "Biren_166m",
"biren166m": "Biren_166m",
"vastaiva16": "Vastai_va16",
"va16": "Vastai_va16",
"sunrisept200x1": "Sunrise_pt-200-x1",
"pt200x1": "Sunrise_pt-200-x1",
}
class TemplateSelector:
def __init__(self, template_file: Path | None = None) -> None:
self.template_file = self._resolve_template_file(template_file)
self.templates = self._load_templates(self.template_file)
self.index = {
(template.task_type, template.framework, template.target_gpu): template
for template in self.templates
}
for template in self.templates:
GPU_ALIASES.setdefault(_normalize_token(template.target_gpu), template.target_gpu)
@staticmethod
def _resolve_template_file(template_file: Path | None) -> Path:
env_template_file = os.getenv("MODELHUB_TEMPLATE_FILE")
if env_template_file:
candidate = Path(env_template_file).expanduser()
if candidate.exists():
return candidate
candidates: list[Path] = []
if template_file is not None:
candidates.append(template_file)
else:
search_roots = [Path.cwd().resolve(), MODULE_DIR.resolve()]
for root in search_roots:
candidates.append(root / DEFAULT_TEMPLATE_FILE_NAME)
candidates.extend(root / relative for relative in DEFAULT_TEMPLATE_RELATIVE_CANDIDATES)
parent = root.parent
if parent != root:
candidates.append(parent / DEFAULT_TEMPLATE_FILE_NAME)
candidates.extend(parent / relative for relative in DEFAULT_TEMPLATE_RELATIVE_CANDIDATES)
for candidate in candidates:
if candidate.exists():
return candidate
tried = ", ".join(str(candidate) for candidate in candidates)
raise FileNotFoundError(f"Could not find ModelHub template file. Tried: {tried}")
@staticmethod
def _load_templates(path: Path) -> list[TemplateRecord]:
templates: list[TemplateRecord] = []
for line in path.read_text(encoding="utf-8").splitlines():
if not line.strip():
continue
payload = json.loads(line)
source = payload.get("source") or {}
templates.append(
TemplateRecord(
template_id=payload["templateId"],
task_type=payload["taskType"],
framework=payload["framework"],
target_gpu=payload["targetGpu"],
model_address_template=payload["modelAddressTemplate"],
config_params=payload["configParams"],
source_file=source.get("file"),
source_line=source.get("line"),
)
)
return templates
def normalize_gpu(self, gpu: str) -> str:
normalized = _normalize_token(gpu)
if normalized in GPU_ALIASES:
return GPU_ALIASES[normalized]
raise KeyError(f"Unsupported GPU alias: {gpu}")
def supported_frameworks(self, task_type: str, target_gpu: str) -> set[str]:
return {
template.framework
for template in self.templates
if template.task_type == task_type and template.target_gpu == target_gpu
}
def supported_target_gpus(self, task_type: str, *, auto_only: bool = False) -> list[str]:
gpus = {
template.target_gpu
for template in self.templates
if template.task_type == task_type and (not auto_only or self.is_auto_template(template))
}
return sorted(gpus)
def supported_frameworks_for_auto(self, task_type: str, target_gpu: str) -> set[str]:
return {
template.framework
for template in self.templates
if template.task_type == task_type and template.target_gpu == target_gpu and self.is_auto_template(template)
}
def select_template(self, task_type: str, framework: str, target_gpu: str) -> TemplateRecord:
key = (task_type, framework, target_gpu)
if key not in self.index:
raise KeyError(f"Missing template for taskType={task_type}, framework={framework}, targetGpu={target_gpu}")
return self.index[key]
@staticmethod
def is_auto_template(template: TemplateRecord) -> bool:
config = template.config_params
if "PLACEHOLDER" in config:
return False
if "根据" in config:
return False
return True
def render_config(self, template: TemplateRecord, gguf_filename: str | None = None) -> str:
config = template.config_params
if template.framework != "llamacpp":
return config
if not gguf_filename:
raise ValueError("llamacpp template requires a GGUF filename")
replaced = re.sub(r"/model/[^,\]\s]+?\.gguf", f"/model/{gguf_filename}", config)
if replaced == config:
raise ValueError(f"Failed to replace GGUF filename in template {template.template_id}")
return replaced