hair/hairline/comfyui.py

"""ComfyUI 客户端：用 add_hair.json / add_hair2.json 工作流跑生发图（Flux-2 inpaint）。

worker 不跑 Flux，只把「划线图 + 遮罩」的 RGBA 上传到本机 ComfyUI(默认 8188)，
替换工作流节点 26 的输入图、随机 seed，提交 /prompt，轮询 /history，取回 /view 输出。
ComfyUI 开启了 HTTP Basic Auth（user `admin` + 密码），所有请求都带凭据。

支持多工作流：run() 可通过 workflow_path 指定不同工作流 JSON，自动检测 SaveImage 输出节点。
"""
from __future__ import annotations

import copy
import json
import os
import random
import time
import uuid

import httpx

COMFYUI_URL = os.getenv("COMFYUI_URL", "http://127.0.0.1:8188").rstrip("/")
_WORKFLOW_DEFAULT = os.getenv(
    "ADD_HAIR_WORKFLOW",
    os.path.join(os.path.dirname(os.path.dirname(__file__)), "add_hair.json"),
)
COMFY_TIMEOUT = float(os.getenv("COMFYUI_TIMEOUT", "600"))   # 单张出图最长等待(秒)
_REPO = os.path.dirname(os.path.dirname(__file__))

_INPUT_NODE = "26"     # LoadImage：外部输入图(含 alpha 遮罩)
_SEED_NODE = "6"       # RandomNoise
_PROMPT_NODE = "60"    # JjkText：提示词

_wf_cache: dict[str, dict] = {}      # path → workflow JSON
_wf_output_node: dict[str, str] = {}  # path → SaveImage 节点 ID


def _comfy_auth():
    """ComfyUI Basic Auth 凭据 (user, password)。

    user：环境变量 COMFYUI_USER，默认 admin。
    password：环境变量 COMFYUI_PASSWORD → worker_config.json.comfyui_password → password.txt。
    无密码则返回 None（不带鉴权，兼容未开启 auth 的实例）。
    """
    user = os.getenv("COMFYUI_USER", "admin")
    pw = os.getenv("COMFYUI_PASSWORD")
    if not pw:
        cfg = os.path.join(_REPO, "worker_config.json")
        if os.path.isfile(cfg):
            try:
                with open(cfg, encoding="utf-8") as f:
                    pw = json.load(f).get("comfyui_password")
            except Exception:  # noqa: BLE001
                pw = None
    if not pw:
        pwfile = os.path.join(_REPO, "password.txt")
        if os.path.isfile(pwfile):
            with open(pwfile, encoding="utf-8") as f:
                pw = f.read().strip()
    return (user, pw) if pw else None


def _load_workflow(workflow_path: str | None = None) -> dict:
    """加载工作流 JSON（按路径缓存）。自动检测 SaveImage 节点 ID。"""
    path = workflow_path or _WORKFLOW_DEFAULT
    if path not in _wf_cache:
        with open(path, encoding="utf-8") as f:
            wf = json.load(f)
        _wf_cache[path] = wf
        # 自动检测 SaveImage 输出节点
        for node_id, node in wf.items():
            if node.get("class_type") == "SaveImage":
                _wf_output_node[path] = node_id
                break
        else:
            raise ValueError(f"工作流 {path} 中未找到 SaveImage 节点")
    return _wf_cache[path]


def _get_output_node(workflow_path: str | None = None) -> str:
    """返回指定工作流的 SaveImage 节点 ID。"""
    path = workflow_path or _WORKFLOW_DEFAULT
    if path not in _wf_output_node:
        _load_workflow(path)  # 触发检测
    return _wf_output_node[path]


def run(rgba_png_bytes: bytes, timeout: float = COMFY_TIMEOUT, prompt: str = None,
        workflow_path: str | None = None) -> bytes:
    """提交一次生发任务，返回输出 PNG 字节。失败抛异常。

    prompt：非 None 时替换工作流节点60(JjkText)的文本；None 时用工作流内置默认提示词。
    workflow_path：工作流 JSON 路径，None 则用默认 add_hair.json。
    """
    path = workflow_path or _WORKFLOW_DEFAULT
    output_node = _get_output_node(path)
    client_id = uuid.uuid4().hex
    with httpx.Client(base_url=COMFYUI_URL, timeout=30.0, auth=_comfy_auth()) as cli:
        # 1. 上传输入图（含 alpha 遮罩）到 ComfyUI input 目录
        fname = f"hair_{client_id}.png"
        r = cli.post("/upload/image", files={"image": (fname, rgba_png_bytes, "image/png")},
                     data={"overwrite": "true", "type": "input"})
        r.raise_for_status()
        up = r.json()
        name = (up.get("subfolder") + "/" if up.get("subfolder") else "") + up["name"]

        # 2. 改工作流：节点26 输入图 + 随机 seed
        wf = copy.deepcopy(_load_workflow(path))
        wf[_INPUT_NODE]["inputs"]["image"] = name
        wf[_SEED_NODE]["inputs"]["noise_seed"] = random.randint(0, 2**63 - 1)
        if prompt is not None:
            wf[_PROMPT_NODE]["inputs"]["text"] = prompt

        # 3. 提交
        r = cli.post("/prompt", json={"prompt": wf, "client_id": client_id})
        r.raise_for_status()
        prompt_id = r.json()["prompt_id"]

        # 4. 轮询 /history
        deadline = time.time() + timeout
        outputs = None
        while time.time() < deadline:
            hr = cli.get(f"/history/{prompt_id}")
            hr.raise_for_status()
            hist = hr.json()
            if prompt_id in hist:
                entry = hist[prompt_id]
                status = entry.get("status", {})
                if status.get("status_str") == "error":
                    raise RuntimeError(f"ComfyUI 执行报错: {status}")
                outputs = entry.get("outputs")
                if outputs and output_node in outputs:
                    break
            time.sleep(1.0)
        if not outputs or output_node not in outputs:
            raise TimeoutError(f"ComfyUI 出图超时({timeout}s) prompt_id={prompt_id}")

        # 5. 取回输出图
        imgs = outputs[output_node].get("images") or []
        if not imgs:
            raise RuntimeError("ComfyUI 输出无图像")
        info = imgs[0]
        vr = cli.get("/view", params={"filename": info["filename"],
                                      "subfolder": info.get("subfolder", ""),
                                      "type": info.get("type", "output")})
        vr.raise_for_status()
        return vr.content


def ping() -> bool:
    """探测 ComfyUI 是否在线（/system_stats）。"""
    try:
        with httpx.Client(base_url=COMFYUI_URL, timeout=3.0, auth=_comfy_auth()) as cli:
            return cli.get("/system_stats").status_code == 200
    except Exception:  # noqa: BLE001
        return False


if __name__ == "__main__":
    import sys
    inp = sys.argv[1] if len(sys.argv) > 1 else "tests/output/comfy_input.png"
    print("ComfyUI:", COMFYUI_URL, "online:", ping())
    with open(inp, "rb") as f:
        png = run(f.read())
    out = "tests/output/grown.png"
    with open(out, "wb") as f:
        f.write(png)
    print(f"生发图已存 {out}（{len(png)} bytes）")