545 lines
17 KiB
Python
545 lines
17 KiB
Python
"""AI 图片生成服务：后端请求 + 本地缓存管理。
|
||
|
||
后端接口（测试环境）：
|
||
POST {API_BASE_URL}{API_PATH}
|
||
body: {"user_message": str, "session_id": str}
|
||
resp: {"code": 200, "message": "", "data": {"imageUrl": "..."}}
|
||
|
||
缓存目录：``settings/ai_image_cache/``，每张图片有同名的 ``.json`` 侧车记录。
|
||
"""
|
||
|
||
from __future__ import annotations
|
||
|
||
import datetime as _dt
|
||
import hashlib
|
||
import json
|
||
import logging
|
||
import mimetypes
|
||
import os
|
||
import shutil
|
||
import threading
|
||
import time
|
||
import uuid
|
||
from io import BytesIO
|
||
from dataclasses import dataclass, asdict
|
||
from typing import Callable, List, Optional
|
||
from urllib.parse import urlparse
|
||
from urllib.request import Request, urlopen
|
||
|
||
from PIL import Image
|
||
|
||
|
||
logger = logging.getLogger(__name__)
|
||
|
||
|
||
# ---------- 常量 ----------
|
||
|
||
_CACHE_DIRNAME = os.path.join("settings", "ai_image_cache")
|
||
_META_SUFFIX = ".json"
|
||
_SUPPORTED_IMG_EXT = (".png", ".jpg", ".jpeg", ".bmp", ".webp")
|
||
|
||
# 测试环境后端
|
||
API_BASE_URL = "http://10.201.44.70:9018/ai-agent/"
|
||
API_PATH = "api/v1/pqtest/generate"
|
||
API_TIMEOUT = 90.0 # 后端最长 60s，留余量
|
||
|
||
# 进程级会话 id（多轮对话需保持一致），可通过 ``reset_session`` 重置
|
||
_session_id: str = str(uuid.uuid4())
|
||
_session_lock = threading.Lock()
|
||
|
||
|
||
def get_session_id() -> str:
|
||
with _session_lock:
|
||
return _session_id
|
||
|
||
|
||
def set_session_id(session_id: str) -> str:
|
||
"""切换到指定会话。空值会抛错。"""
|
||
global _session_id
|
||
sid = (session_id or "").strip()
|
||
if not sid:
|
||
raise ValueError("session_id 不能为空")
|
||
with _session_lock:
|
||
old = _session_id
|
||
_session_id = sid
|
||
logger.info("[AIImage] 会话切换 %s -> %s", _mask_sid(old), _mask_sid(_session_id))
|
||
return _session_id
|
||
|
||
|
||
def reset_session() -> str:
|
||
"""开启新一轮会话，返回新的 session_id。"""
|
||
global _session_id
|
||
with _session_lock:
|
||
old = _session_id
|
||
_session_id = str(uuid.uuid4())
|
||
logger.info("[AIImage] 会话切换 %s -> %s", _mask_sid(old), _mask_sid(_session_id))
|
||
return _session_id
|
||
|
||
|
||
def _mask_sid(sid: str) -> str:
|
||
"""日志安全展示：仅保留前 8 位。"""
|
||
if not sid:
|
||
return "(none)"
|
||
return f"{sid[:8]}…"
|
||
|
||
|
||
def _truncate(text: str, n: int = 80) -> str:
|
||
s = (text or "").replace("\n", " ").strip()
|
||
return s if len(s) <= n else s[:n] + "…"
|
||
|
||
|
||
# ---------- 数据结构 ----------
|
||
|
||
|
||
@dataclass
|
||
class AIImageRecord:
|
||
"""一条缓存记录。
|
||
|
||
字段说明：
|
||
- ``id``: 唯一 id，等同于磁盘文件名（不含扩展名），格式 ``{时间戳}_{md5前8}``。
|
||
- ``prompt``: 用户原始输入（完整保留，用于回溯/调试，不应被改写）。
|
||
- ``title``: 用户自定义展示标题（重命名时写入），UI 优先使用，留空则回退 prompt 第一行截断。
|
||
- ``image_path``: 图片在缓存目录中的绝对路径。
|
||
- ``created_at``: ISO8601 时间字符串。
|
||
- ``extra``: 其它元数据，至少包含 ``source`` 与 ``session_id``（标识属于哪一轮对话）。
|
||
"""
|
||
|
||
id: str
|
||
prompt: str
|
||
image_path: str
|
||
created_at: str # ISO8601
|
||
extra: Optional[dict] = None
|
||
title: Optional[str] = None
|
||
|
||
def to_json(self) -> str:
|
||
return json.dumps(asdict(self), ensure_ascii=False, indent=2)
|
||
|
||
@property
|
||
def display_name(self) -> str:
|
||
"""UI 展示名：title 优先，否则回退 prompt 第一行。"""
|
||
if self.title:
|
||
return self.title.strip()
|
||
first = (self.prompt or "").strip().splitlines()[0] if self.prompt else ""
|
||
return first or "(未命名)"
|
||
|
||
@property
|
||
def session_id(self) -> str:
|
||
if isinstance(self.extra, dict):
|
||
return str(self.extra.get("session_id") or "")
|
||
return ""
|
||
|
||
|
||
# ---------- 后端 API ----------
|
||
|
||
|
||
def _api_endpoint() -> str:
|
||
base = API_BASE_URL if API_BASE_URL.endswith("/") else API_BASE_URL + "/"
|
||
return base + API_PATH.lstrip("/")
|
||
|
||
|
||
def _call_pqtest_generate(user_message: str, session_id: str, timeout: float = API_TIMEOUT) -> str:
|
||
"""调用后端 ``api/v1/pqtest/generate``，返回 imageUrl。失败抛异常。"""
|
||
payload = json.dumps(
|
||
{"user_message": user_message,
|
||
"session_id": session_id},
|
||
ensure_ascii=False,
|
||
).encode("utf-8")
|
||
endpoint = _api_endpoint()
|
||
logger.info(
|
||
"[AIImage] 请求生成 sid=%s prompt_len=%d prompt=%r",
|
||
_mask_sid(session_id), len(user_message or ""), _truncate(user_message),
|
||
)
|
||
logger.debug("[AIImage] POST %s timeout=%.1fs", endpoint, timeout)
|
||
request = Request(
|
||
endpoint,
|
||
data=payload,
|
||
method="POST",
|
||
headers={
|
||
"Content-Type": "application/json; charset=utf-8",
|
||
"Accept": "application/json",
|
||
"User-Agent": "pqAutomationApp/1.0",
|
||
},
|
||
)
|
||
t0 = time.monotonic()
|
||
try:
|
||
with urlopen(request, timeout=timeout) as response:
|
||
raw = response.read()
|
||
http_status = response.status
|
||
except Exception as exc:
|
||
elapsed = time.monotonic() - t0
|
||
logger.error(
|
||
"[AIImage] 请求异常 sid=%s elapsed=%.2fs %s: %s",
|
||
_mask_sid(session_id), elapsed, type(exc).__name__, exc,
|
||
)
|
||
raise
|
||
elapsed = time.monotonic() - t0
|
||
logger.debug(
|
||
"[AIImage] HTTP %s 收到 %d bytes elapsed=%.2fs",
|
||
http_status, len(raw), elapsed,
|
||
)
|
||
try:
|
||
result = json.loads(raw.decode("utf-8"))
|
||
except Exception as exc:
|
||
logger.error("[AIImage] 响应解析失败 sid=%s raw=%r", _mask_sid(session_id), raw[:200])
|
||
raise RuntimeError(f"AI 接口返回非 JSON：{raw[:200]!r}") from exc
|
||
|
||
code = result.get("code")
|
||
message = result.get("message") or ""
|
||
data = result.get("data") or {}
|
||
image_url = (data.get("imageUrl") or "").strip()
|
||
if code != 200 or not image_url:
|
||
logger.warning(
|
||
"[AIImage] 接口失败 sid=%s code=%s msg=%r",
|
||
_mask_sid(session_id), code, message,
|
||
)
|
||
raise RuntimeError(f"AI 接口失败 code={code} msg={message or '生成失败'}")
|
||
logger.info(
|
||
"[AIImage] 生成成功 sid=%s elapsed=%.2fs url=%s",
|
||
_mask_sid(session_id), elapsed, image_url,
|
||
)
|
||
return image_url
|
||
|
||
|
||
# ---------- 缓存路径工具 ----------
|
||
|
||
|
||
def get_cache_dir(base_dir: Optional[str] = None) -> str:
|
||
"""返回缓存目录，如不存在则创建。``base_dir`` 默认使用当前工作目录。"""
|
||
root = base_dir if base_dir else os.getcwd()
|
||
path = os.path.join(root, _CACHE_DIRNAME)
|
||
os.makedirs(path, exist_ok=True)
|
||
return path
|
||
|
||
|
||
def _make_id(prompt: str) -> str:
|
||
stamp = _dt.datetime.now().strftime("%Y%m%d_%H%M%S_%f")
|
||
digest = hashlib.md5(prompt.encode("utf-8")).hexdigest()[:8]
|
||
return f"{stamp}_{digest}"
|
||
|
||
|
||
def _meta_path_for(image_path: str) -> str:
|
||
return os.path.splitext(image_path)[0] + _META_SUFFIX
|
||
|
||
|
||
def _sanitize_image_bytes(image_bytes: bytes, image_ext: str) -> bytes:
|
||
"""规范化图片字节，尽量去掉已知有问题的 PNG ICC profile。"""
|
||
ext = (image_ext or "").lower()
|
||
if ext not in {".png", ".jpg", ".jpeg", ".bmp", ".webp"}:
|
||
return image_bytes
|
||
try:
|
||
with Image.open(BytesIO(image_bytes)) as img:
|
||
img.load()
|
||
normalized = img.copy()
|
||
output = BytesIO()
|
||
save_kwargs = {}
|
||
if ext == ".png":
|
||
save_kwargs["icc_profile"] = None
|
||
normalized.save(output, format=normalized.format or ext.lstrip(".").upper(), **save_kwargs)
|
||
result = output.getvalue()
|
||
if result:
|
||
return result
|
||
except Exception as exc:
|
||
logger.warning("[AIImage] 图片规范化失败 ext=%s %s: %s", ext, type(exc).__name__, exc)
|
||
return image_bytes
|
||
|
||
|
||
# ---------- 读写 ----------
|
||
|
||
|
||
def list_records(base_dir: Optional[str] = None) -> List[AIImageRecord]:
|
||
"""列出缓存目录下的所有记录，按创建时间倒序（最新在前）。"""
|
||
cache_dir = get_cache_dir(base_dir)
|
||
records: List[AIImageRecord] = []
|
||
for name in os.listdir(cache_dir):
|
||
full = os.path.join(cache_dir, name)
|
||
if not (os.path.isfile(full) and name.lower().endswith(_SUPPORTED_IMG_EXT)):
|
||
continue
|
||
meta_path = _meta_path_for(full)
|
||
prompt = ""
|
||
created_at = ""
|
||
extra = None
|
||
title = None
|
||
rec_id = os.path.splitext(name)[0]
|
||
if os.path.isfile(meta_path):
|
||
try:
|
||
with open(meta_path, "r", encoding="utf-8") as f:
|
||
data = json.load(f)
|
||
prompt = data.get("prompt", "")
|
||
created_at = data.get("created_at", "")
|
||
extra = data.get("extra")
|
||
title = data.get("title")
|
||
rec_id = data.get("id", rec_id)
|
||
except Exception:
|
||
pass
|
||
if not created_at:
|
||
# fallback 到文件 mtime
|
||
try:
|
||
mtime = os.path.getmtime(full)
|
||
created_at = _dt.datetime.fromtimestamp(mtime).isoformat()
|
||
except Exception:
|
||
created_at = ""
|
||
records.append(
|
||
AIImageRecord(
|
||
id=rec_id,
|
||
prompt=prompt,
|
||
image_path=full,
|
||
created_at=created_at,
|
||
extra=extra,
|
||
title=title,
|
||
)
|
||
)
|
||
records.sort(key=lambda r: r.created_at, reverse=True)
|
||
return records
|
||
|
||
|
||
def save_image_to_cache(
|
||
prompt: str,
|
||
image_bytes: bytes,
|
||
image_ext: str = ".png",
|
||
extra: Optional[dict] = None,
|
||
base_dir: Optional[str] = None,
|
||
title: Optional[str] = None,
|
||
) -> AIImageRecord:
|
||
"""把生成的图片字节写入缓存，返回记录。"""
|
||
if not image_ext.startswith("."):
|
||
image_ext = "." + image_ext
|
||
if image_ext.lower() not in _SUPPORTED_IMG_EXT:
|
||
image_ext = ".png"
|
||
image_bytes = _sanitize_image_bytes(image_bytes, image_ext)
|
||
cache_dir = get_cache_dir(base_dir)
|
||
rec_id = _make_id(prompt)
|
||
image_path = os.path.join(cache_dir, f"{rec_id}{image_ext}")
|
||
with open(image_path, "wb") as f:
|
||
f.write(image_bytes)
|
||
|
||
record = AIImageRecord(
|
||
id=rec_id,
|
||
prompt=prompt,
|
||
image_path=image_path,
|
||
created_at=_dt.datetime.now().isoformat(timespec="seconds"),
|
||
extra=extra,
|
||
title=title,
|
||
)
|
||
try:
|
||
with open(_meta_path_for(image_path), "w", encoding="utf-8") as f:
|
||
f.write(record.to_json())
|
||
except Exception:
|
||
pass
|
||
return record
|
||
|
||
|
||
def import_image_from_url(
|
||
image_url: str,
|
||
prompt: Optional[str] = None,
|
||
extra: Optional[dict] = None,
|
||
base_dir: Optional[str] = None,
|
||
timeout: float = 20.0,
|
||
) -> AIImageRecord:
|
||
"""下载远程图片并写入缓存。"""
|
||
url = (image_url or "").strip()
|
||
if not url:
|
||
raise ValueError("图片地址不能为空")
|
||
|
||
request = Request(
|
||
url,
|
||
headers={
|
||
"User-Agent": "pqAutomationApp/1.0",
|
||
"Accept": "image/*,*/*;q=0.8",
|
||
},
|
||
)
|
||
with urlopen(request, timeout=timeout) as response:
|
||
image_bytes = response.read()
|
||
if not image_bytes:
|
||
raise ValueError("下载结果为空")
|
||
|
||
image_ext = _guess_image_ext(
|
||
image_url=url,
|
||
content_type=response.headers.get_content_type(),
|
||
)
|
||
merged_extra = dict(extra or {})
|
||
merged_extra.update(
|
||
{
|
||
"source": "remote-url",
|
||
"source_url": url,
|
||
"content_type": response.headers.get_content_type(),
|
||
}
|
||
)
|
||
|
||
record_prompt = (prompt or _default_prompt_from_url(url)).strip()
|
||
return save_image_to_cache(
|
||
prompt=record_prompt,
|
||
image_bytes=image_bytes,
|
||
image_ext=image_ext,
|
||
extra=merged_extra,
|
||
base_dir=base_dir,
|
||
)
|
||
|
||
|
||
def delete_record(record: AIImageRecord) -> bool:
|
||
"""删除一条缓存记录（图片 + 侧车）。返回是否成功。"""
|
||
ok = True
|
||
for p in (record.image_path, _meta_path_for(record.image_path)):
|
||
try:
|
||
if os.path.isfile(p):
|
||
os.remove(p)
|
||
except Exception:
|
||
ok = False
|
||
return ok
|
||
|
||
|
||
def export_record(record: AIImageRecord, dest_path: str) -> None:
|
||
"""把缓存中的图片另存到 ``dest_path``。"""
|
||
shutil.copyfile(record.image_path, dest_path)
|
||
|
||
|
||
def update_record_title(record: AIImageRecord, new_title: Optional[str]) -> bool:
|
||
"""更新记录的展示标题并写回侧车 JSON。空串/None 视为清除标题。"""
|
||
title = (new_title or "").strip() or None
|
||
meta_path = _meta_path_for(record.image_path)
|
||
try:
|
||
data: dict = {}
|
||
if os.path.isfile(meta_path):
|
||
with open(meta_path, "r", encoding="utf-8") as f:
|
||
data = json.load(f) or {}
|
||
if title is None:
|
||
data.pop("title", None)
|
||
else:
|
||
data["title"] = title
|
||
with open(meta_path, "w", encoding="utf-8") as f:
|
||
json.dump(data, f, ensure_ascii=False, indent=2)
|
||
except Exception:
|
||
return False
|
||
record.title = title
|
||
return True
|
||
|
||
|
||
def group_records_by_session(records: List[AIImageRecord]) -> List[dict]:
|
||
"""按 ``session_id`` 分组。
|
||
|
||
返回元素：``{"session_id", "records", "started_at", "latest_at"}``。
|
||
会话按"最近使用时间"倒序，组内记录按时间倒序。
|
||
没有 session_id 的记录归到空串 ``""`` 组。
|
||
"""
|
||
buckets: dict = {}
|
||
for rec in records:
|
||
buckets.setdefault(rec.session_id, []).append(rec)
|
||
sessions = []
|
||
for sid, recs in buckets.items():
|
||
recs.sort(key=lambda r: r.created_at, reverse=True)
|
||
started_at = min((r.created_at for r in recs if r.created_at), default="")
|
||
sessions.append(
|
||
{
|
||
"session_id": sid,
|
||
"records": recs,
|
||
"started_at": started_at,
|
||
"latest_at": recs[0].created_at if recs else "",
|
||
}
|
||
)
|
||
sessions.sort(key=lambda s: s["latest_at"], reverse=True)
|
||
return sessions
|
||
|
||
|
||
# ---------- 异步请求 ----------
|
||
|
||
|
||
def request_image_async(
|
||
prompt: str,
|
||
on_success: Callable[[AIImageRecord], None],
|
||
on_error: Callable[[Exception], None],
|
||
base_dir: Optional[str] = None,
|
||
session_id: Optional[str] = None,
|
||
) -> threading.Thread:
|
||
"""在后台线程调用后端 API → 下载图片 → 写入缓存 → 回调。
|
||
|
||
``on_success`` / ``on_error`` 会在 **工作线程** 中被调用；UI 侧若需
|
||
切回主线程，请在回调内部自行用 ``root.after(0, ...)``。
|
||
|
||
``session_id`` 留空则使用进程级会话 id（保证多轮对话上下文）。
|
||
"""
|
||
|
||
sid = session_id or get_session_id()
|
||
|
||
def _worker():
|
||
try:
|
||
image_url = _call_pqtest_generate(prompt, sid)
|
||
record = import_image_from_url(
|
||
image_url=image_url,
|
||
prompt=prompt,
|
||
extra={"source": "ai-api", "session_id": sid},
|
||
base_dir=base_dir,
|
||
)
|
||
logger.info(
|
||
"[AIImage] 已写入缓存 sid=%s id=%s path=%s",
|
||
_mask_sid(sid), record.id, record.image_path,
|
||
)
|
||
on_success(record)
|
||
except Exception as exc:
|
||
logger.error(
|
||
"[AIImage] 生成流程失败 sid=%s %s: %s",
|
||
_mask_sid(sid), type(exc).__name__, exc,
|
||
)
|
||
on_error(exc)
|
||
|
||
t = threading.Thread(target=_worker, daemon=True)
|
||
t.start()
|
||
return t
|
||
|
||
|
||
def import_image_from_url_async(
|
||
image_url: str,
|
||
on_success: Callable[[AIImageRecord], None],
|
||
on_error: Callable[[Exception], None],
|
||
prompt: Optional[str] = None,
|
||
extra: Optional[dict] = None,
|
||
base_dir: Optional[str] = None,
|
||
timeout: float = 20.0,
|
||
) -> threading.Thread:
|
||
"""在后台线程下载远程图片并写入缓存"""
|
||
|
||
def _worker():
|
||
try:
|
||
record = import_image_from_url(
|
||
image_url=image_url,
|
||
prompt=prompt,
|
||
extra=extra,
|
||
base_dir=base_dir,
|
||
timeout=timeout,
|
||
)
|
||
on_success(record)
|
||
except Exception as exc:
|
||
on_error(exc)
|
||
|
||
t = threading.Thread(target=_worker, daemon=True)
|
||
t.start()
|
||
return t
|
||
|
||
|
||
def is_remote_image_url(value: str) -> bool:
|
||
"""判断输入是否为 http/https 图片地址。"""
|
||
url = (value or "").strip()
|
||
if not url:
|
||
return False
|
||
parsed = urlparse(url)
|
||
return parsed.scheme in {"http", "https"} and bool(parsed.netloc)
|
||
|
||
|
||
def _guess_image_ext(image_url: str, content_type: Optional[str]) -> str:
|
||
if content_type:
|
||
guessed = mimetypes.guess_extension(content_type)
|
||
if guessed == ".jpe":
|
||
guessed = ".jpg"
|
||
if guessed and guessed.lower() in _SUPPORTED_IMG_EXT:
|
||
return guessed.lower()
|
||
|
||
url_path = urlparse(image_url).path
|
||
ext = os.path.splitext(url_path)[1].lower()
|
||
if ext in _SUPPORTED_IMG_EXT:
|
||
return ext
|
||
return ".png"
|
||
|
||
|
||
def _default_prompt_from_url(image_url: str) -> str:
|
||
path = urlparse(image_url).path
|
||
name = os.path.splitext(os.path.basename(path))[0].strip()
|
||
return name or "远程导入图片"
|