455 lines
14 KiB
Python
455 lines
14 KiB
Python
#!/usr/bin/env python3
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from __future__ import annotations
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import argparse
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import json
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import os
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import re
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import subprocess
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import sys
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import time
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import traceback
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import urllib.request
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from pathlib import Path
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# The skill runner consumes stdout, so route Python error output there as well.
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sys.stderr = sys.stdout
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def _skill_root() -> Path:
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script_dir = Path(__file__).resolve().parent
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return script_dir.parent
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def _skill_venv_python() -> Path:
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venv_dir = _skill_root() / ".venv"
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if sys.platform == "win32":
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return venv_dir / "Scripts" / "python.exe"
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return venv_dir / "bin" / "python"
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def _run_bootstrap() -> None:
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bootstrap = Path(__file__).resolve().parent / "bootstrap.py"
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result = subprocess.run([sys.executable, str(bootstrap)])
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if result.returncode != 0:
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raise SystemExit(result.returncode)
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def _ensure_skill_venv_python() -> None:
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venv_python = _skill_venv_python()
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if not venv_python.is_file():
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_run_bootstrap()
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venv_python = _skill_venv_python()
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if not venv_python.is_file():
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sys.stdout.write("bootstrap 后仍未找到虚拟环境\n")
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raise SystemExit(1)
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venv_dir = _skill_root() / ".venv"
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if Path(sys.prefix) == venv_dir.resolve():
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return
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os.execv(str(venv_python), [str(venv_python), str(Path(__file__).resolve()), *sys.argv[1:]])
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_ensure_skill_venv_python()
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try:
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import pymysql # type: ignore # noqa: E402
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except ModuleNotFoundError:
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_run_bootstrap()
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os.execv(sys.executable, [sys.executable, str(Path(__file__).resolve()), *sys.argv[1:]])
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# ---------------------------------------------------------------------------
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# Database helpers
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# ---------------------------------------------------------------------------
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def _mysql_connect():
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host = os.environ.get("MYSQL_HOST", "127.0.0.1")
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port = int(os.environ.get("MYSQL_PORT", "3306"))
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user = os.environ.get("MYSQL_USER", "root")
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password = os.environ.get("MYSQL_PASSWORD", "")
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database = os.environ.get("ROBOT_CODE", "")
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if not database:
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raise RuntimeError("环境变量 ROBOT_CODE 未配置")
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return pymysql.connect(
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host=host, port=port, user=user, password=password,
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database=database, charset="utf8mb4",
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connect_timeout=10, read_timeout=30,
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)
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def _query_one(conn, sql: str, params: tuple = ()) -> dict | None:
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cur = conn.cursor()
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cur.execute(sql, params)
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columns = [desc[0] for desc in cur.description] if cur.description else []
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row = cur.fetchone()
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cur.close()
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if row is None:
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return None
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return dict(zip(columns, row))
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# ---------------------------------------------------------------------------
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# Settings resolution (mirrors the Go service logic)
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# ---------------------------------------------------------------------------
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def load_drawing_settings(conn, from_wx_id: str) -> tuple[bool, dict]:
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"""Return (enabled, image_ai_settings_dict)."""
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# 1. global_settings
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gs = _query_one(conn, "SELECT image_ai_enabled, image_ai_settings FROM global_settings LIMIT 1")
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enabled = False
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settings_json: dict = {}
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if gs:
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if gs.get("image_ai_enabled"):
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enabled = bool(gs["image_ai_enabled"])
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raw = gs.get("image_ai_settings")
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if raw:
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if isinstance(raw, (bytes, bytearray)):
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raw = raw.decode("utf-8")
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if isinstance(raw, str) and raw.strip():
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settings_json = json.loads(raw)
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# 2. override from chatroom / friend settings
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if from_wx_id.endswith("@chatroom"):
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override = _query_one(
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conn,
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"SELECT image_ai_enabled, image_ai_settings FROM chat_room_settings WHERE chat_room_id = %s LIMIT 1",
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(from_wx_id,),
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)
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else:
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override = _query_one(
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conn,
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"SELECT image_ai_enabled, image_ai_settings FROM friend_settings WHERE wechat_id = %s LIMIT 1",
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(from_wx_id,),
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)
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if override:
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if override.get("image_ai_enabled") is not None:
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enabled = bool(override["image_ai_enabled"])
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raw = override.get("image_ai_settings")
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if raw:
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if isinstance(raw, (bytes, bytearray)):
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raw = raw.decode("utf-8")
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if isinstance(raw, str) and raw.strip():
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settings_json = json.loads(raw)
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return enabled, settings_json
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# ---------------------------------------------------------------------------
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# API callers
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# ---------------------------------------------------------------------------
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def _http_post_json(url: str, body: dict, headers: dict, timeout: int = 300) -> dict:
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data = json.dumps(body).encode("utf-8")
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req = urllib.request.Request(url, data=data, headers=headers, method="POST")
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with urllib.request.urlopen(req, timeout=timeout) as resp:
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return json.loads(resp.read().decode("utf-8"))
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def _http_get_json(url: str, headers: dict, timeout: int = 30) -> dict:
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req = urllib.request.Request(url, headers=headers, method="GET")
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with urllib.request.urlopen(req, timeout=timeout) as resp:
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return json.loads(resp.read().decode("utf-8"))
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def call_jimeng(config: dict, prompt: str, model: str,
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negative_prompt: str, ratio: str, resolution: str) -> list[str]:
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"""Call JiMeng (即梦) image generation API."""
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base_url = config.get("base_url", "").rstrip("/")
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session_ids = config.get("sessionid", [])
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if not base_url or not session_ids:
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raise RuntimeError("即梦绘图配置缺少 base_url 或 sessionid")
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if not model or model == "none":
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model = "jimeng-5.0"
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if not ratio:
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ratio = "16:9"
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if not resolution:
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resolution = "2k"
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# 如果分辨率大于4k，重置为2k
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m = re.search(r"(\d+)", resolution)
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if m and int(m.group(1)) > 4:
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resolution = "2k"
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token = ",".join(session_ids)
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body = {
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"model": model,
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"prompt": prompt,
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"ratio": ratio,
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"resolution": resolution,
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"response_format": "url",
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"sample_strength": 0.5,
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}
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if negative_prompt:
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body["negative_prompt"] = negative_prompt
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resp = _http_post_json(
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f"{base_url}/v1/images/generations",
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body,
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{"Content-Type": "application/json", "Authorization": f"Bearer {token}"},
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timeout=300,
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)
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urls = [item["url"] for item in resp.get("data", []) if item.get("url")]
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return urls
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def call_doubao(config: dict, prompt: str, model: str) -> list[str]:
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"""Call DouBao (豆包) image generation API."""
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api_key = config.get("api_key", "")
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if not api_key:
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raise RuntimeError("豆包绘图配置缺少 api_key")
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if not model or model == "none":
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model = "doubao-seedream-4.5"
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# Map friendly model names to actual endpoint model IDs
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model_map = {
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"doubao-seedream-4.5": "doubao-seedream-4-5-251128",
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"doubao-seedream-4.0": "doubao-seedream-4-0-251128",
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"doubao-seedream-3.0-t2i": "doubao-seedream-3-0-t2i-250415",
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"doubao-seededit-3.0-i2i": "doubao-seededit-3-0-i2i-250628",
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}
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actual_model = model_map.get(model, model)
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body = {
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"model": actual_model,
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"prompt": prompt,
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"response_format": "url",
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"size": config.get("size", "2K"),
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"sequential_image_generation": config.get("sequential_image_generation", "auto"),
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"watermark": config.get("watermark", False),
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}
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image_val = config.get("image", "")
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if image_val:
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body["image"] = image_val
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resp = _http_post_json(
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"https://ark.cn-beijing.volces.com/api/v3/images/generations",
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body,
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{"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"},
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timeout=300,
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)
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urls = []
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for item in resp.get("data", []):
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url = item.get("url")
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if url:
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urls.append(url)
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return urls
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def call_zimage(config: dict, prompt: str, model: str) -> list[str]:
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"""Call Z-Image (造相) image generation API (async task-based)."""
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base_url = config.get("base_url", "").rstrip("/")
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api_key = config.get("api_key", "")
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if not base_url or not api_key:
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raise RuntimeError("造相绘图配置缺少 base_url 或 api_key")
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if not model or model == "none":
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model = "Z-Image-Turbo"
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# Map model names
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model_map = {
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"Z-Image": "Tongyi-MAI/Z-Image",
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"Z-Image-Turbo": "Tongyi-MAI/Z-Image-Turbo",
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"Qwen-Image-Edit-2511": "Qwen/Qwen-Image-Edit-2511",
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}
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actual_model = model_map.get(model)
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if actual_model is None:
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raise RuntimeError(f"不支持的造相模型: {model}")
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body = {
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"model": actual_model,
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"prompt": prompt,
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"image_url": config.get("image_url", []),
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}
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {api_key}",
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"X-ModelScope-Async-Mode": "true",
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}
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# Step 1: create task
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resp = _http_post_json(f"{base_url}/v1/images/generations", body, headers, timeout=30)
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task_id = resp.get("task_id", "")
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if not task_id:
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raise RuntimeError("造相接口未返回 task_id")
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# Step 2: poll for result
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poll_headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {api_key}",
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"X-ModelScope-Task-Type": "image_generation",
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}
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deadline = time.time() + 15 * 60 # 15 minutes
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while time.time() < deadline:
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task_resp = _http_get_json(f"{base_url}/v1/tasks/{task_id}", poll_headers, timeout=30)
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status = task_resp.get("task_status", "")
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if status == "SUCCEED":
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images = task_resp.get("output_images", [])
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if images:
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return images
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raise RuntimeError("造相任务成功但未返回图片")
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if status == "FAILED":
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raise RuntimeError("造相绘图任务失败")
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time.sleep(5)
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raise RuntimeError("造相绘图任务超时")
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# ---------------------------------------------------------------------------
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# Main
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# ---------------------------------------------------------------------------
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JIMENG_MODELS = {"jimeng-4.5", "jimeng-4.6", "jimeng-5.0"}
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DOUBAO_MODELS = {"doubao-seedream-4.5", "doubao-seedream-4.0", "doubao-seedream-3.0-t2i", "doubao-seededit-3.0-i2i"}
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ZIMAGE_MODELS = {"Z-Image", "Z-Image-Turbo", "Qwen-Image-Edit-2511"}
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def _parse_cli_params(argv: list[str]) -> dict[str, str]:
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parser = argparse.ArgumentParser(add_help=False)
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parser.add_argument("--prompt", default="")
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parser.add_argument("--model", default="")
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parser.add_argument("--negative_prompt", default="")
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parser.add_argument("--ratio", default="")
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parser.add_argument("--resolution", default="")
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namespace, unknown = parser.parse_known_args(argv)
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if unknown:
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raise ValueError(f"存在不支持的参数: {' '.join(unknown)}")
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return {
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"prompt": namespace.prompt,
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"model": namespace.model,
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"negative_prompt": namespace.negative_prompt,
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"ratio": namespace.ratio,
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"resolution": namespace.resolution,
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}
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def main() -> int:
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if len(sys.argv) < 2:
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sys.stdout.write("缺少输入参数\n")
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return 1
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try:
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params = _parse_cli_params(sys.argv[1:])
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except ValueError as exc:
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sys.stdout.write(f"参数格式错误: {exc}\n")
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return 1
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prompt = params.get("prompt", "").strip()
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if not prompt:
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sys.stdout.write("缺少画图提示词\n")
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return 1
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model = params.get("model", "").strip()
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negative_prompt = params.get("negative_prompt", "").strip()
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ratio = params.get("ratio", "").strip()
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resolution = params.get("resolution", "").strip()
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from_wx_id = os.environ.get("ROBOT_FROM_WX_ID", "").strip()
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if not from_wx_id:
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sys.stdout.write("环境变量 ROBOT_FROM_WX_ID 未配置\n")
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return 1
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# Connect to DB and load settings
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try:
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conn = _mysql_connect()
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except Exception as exc:
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sys.stdout.write(f"数据库连接失败: {exc}\n")
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return 1
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try:
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enabled, settings_json = load_drawing_settings(conn, from_wx_id)
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except Exception as exc:
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conn.close()
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sys.stdout.write(f"加载绘图配置失败: {exc}\n")
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return 1
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finally:
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try:
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conn.close()
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except Exception:
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pass
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if not enabled:
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sys.stdout.write("AI 绘图未开启\n")
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return 0
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# Default model
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if not model or model == "none":
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model = "jimeng-5.0"
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# Route to correct API
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try:
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image_urls: list[str] = []
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if model in JIMENG_MODELS:
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jimeng_config = settings_json.get("JiMeng", {})
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if not jimeng_config.get("enabled", False):
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sys.stdout.write("即梦绘图未开启\n")
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return 0
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image_urls = call_jimeng(jimeng_config, prompt, model, negative_prompt, ratio, resolution)
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elif model in DOUBAO_MODELS:
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doubao_config = settings_json.get("DouBao", {})
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if not doubao_config.get("enabled", False):
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sys.stdout.write("豆包绘图未开启\n")
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return 0
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image_urls = call_doubao(doubao_config, prompt, model)
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elif model in ZIMAGE_MODELS:
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zimage_config = settings_json.get("Z-Image", {})
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if not zimage_config.get("enabled", False):
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sys.stdout.write("造相绘图未开启\n")
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return 0
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image_urls = call_zimage(zimage_config, prompt, model)
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else:
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sys.stdout.write("不支持的 AI 图像模型\n")
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return 1
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except Exception as exc:
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sys.stdout.write(f"调用绘图接口失败: {exc}\n")
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return 1
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if not image_urls:
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sys.stdout.write("未生成任何图像\n")
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return 1
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# 通过客户端接口发送图片
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client_port = os.environ.get("ROBOT_WECHAT_CLIENT_PORT", "").strip()
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if not client_port:
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sys.stdout.write("环境变量 ROBOT_WECHAT_CLIENT_PORT 未配置\n")
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return 1
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send_url = f"http://127.0.0.1:{client_port}/api/v1/robot/message/send/image/url"
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send_body = {
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"to_wxid": from_wx_id,
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"image_urls": [u for u in image_urls if u],
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}
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try:
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_http_post_json(send_url, send_body, {"Content-Type": "application/json"}, timeout=60)
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sys.stdout.write("图片发送成功\n")
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except Exception as exc:
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sys.stdout.write(f"发送图片失败: {exc}\n")
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return 1
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return 0
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if __name__ == "__main__":
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try:
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raise SystemExit(main())
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except SystemExit:
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raise
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except Exception:
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traceback.print_exc(file=sys.stdout)
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raise SystemExit(1)
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