数据库与模型:新增多版迁移(章节证据快照、对话血缘、记忆事实/时间线 lineage 等),把「成稿 ↔ 对话/记忆」的溯源信息落到表结构里。 业务链路:会话与 WS、回忆录/故事流水线、记忆写入与 enrichment 等跟着接上线索与快照;新增章节证据快照与评测侧 EvalTraceService 等模块,方便组评审用的证据包。 内部评测:自动化 run 与手工 memoir 评审共用可追溯证据;rubric/ judge 相关脚本与文档有配套调整。 app-eval-web:Memoir/实验详情里能展开看证据摘要与 evidence_trace(含对话轮次 id);Vite 代理与 development.sh 注入的 API 端口与当前默认内部评测端口一致,避免改端口后页面连错服务。 工程杂项:GitHub Actions / 仓库说明有更新;各适配器与支付/配额/plan 等多处为小改动或跟随主改动的收尾;新增/扩充了?
287 lines
10 KiB
Python
287 lines
10 KiB
Python
"""
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Liblib 图生 SDK 封装,位于 adapters 层;实现细节不暴露给 feature。
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Feature 通过 port ImageGenerator 使用,本模块仅被 app.adapters.image_gen.liblib 使用。
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"""
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import base64
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import hmac
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import logging
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import re
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import time
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import uuid
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from hashlib import sha1
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from urllib.parse import urlparse
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import httpx
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from app.core.config import settings
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from app.core.logging import get_logger
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logger = get_logger(__name__)
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DEFAULT_LIBLIB_TEMPLATE_UUID = "5d7e67009b344550bc1aa6ccbfa1d7f4"
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_SENSITIVE_QUERY_PARAMS = ("AccessKey", "Signature", "Timestamp", "SignatureNonce")
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_SENSITIVE_QUERY_RE = re.compile(
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r"([?&])(" + "|".join(_SENSITIVE_QUERY_PARAMS) + r")=([^&\s]+)"
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)
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_SIZE_TO_ASPECT_RATIO = {
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"1024x1024": "square",
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"768x1024": "portrait",
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"1280x720": "landscape",
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}
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_DEFAULT_WIDTH, _DEFAULT_HEIGHT = 1024, 1024
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def _parse_size(size: str) -> tuple[int, int]:
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try:
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w_str, h_str = size.lower().split("x", 1)
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w = max(512, min(2048, int(w_str)))
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h = max(512, min(2048, int(h_str)))
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return w, h
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except (ValueError, AttributeError):
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return _DEFAULT_WIDTH, _DEFAULT_HEIGHT
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class LiblibImageProvider:
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"""Liblib (https://openapi.liblibai.cloud) image generation — adapter 层实现。"""
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def __init__(
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self,
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http_client: httpx.Client | None = None,
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access_key: str | None = None,
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secret_key: str | None = None,
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base_url: str | None = None,
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template_uuid: str | None = None,
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allowed_download_hosts: tuple[str, ...] | None = None,
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):
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_install_http_log_redaction()
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self._owns_http_client = http_client is None
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self.http_client = http_client or httpx.Client(timeout=120)
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self.access_key = access_key or (settings.liblib_access_key or "")
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self.secret_key = secret_key or (settings.liblib_secret_key or "")
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self.base_url = (
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base_url or settings.liblib_base_url or "https://openapi.liblibai.cloud"
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).rstrip("/")
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self.template_uuid = template_uuid or (
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settings.liblib_template_uuid or DEFAULT_LIBLIB_TEMPLATE_UUID
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)
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self.allowed_download_hosts = _build_allowed_download_hosts(
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self.base_url,
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allowed_download_hosts=allowed_download_hosts,
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)
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def _build_url(self, uri: str) -> str:
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return f"{self.base_url}{uri}"
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def _sign(self, uri: str) -> dict[str, str]:
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timestamp = str(int(time.time() * 1000))
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nonce = str(uuid.uuid4())
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content = "&".join((uri, timestamp, nonce))
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digest = hmac.new(self.secret_key.encode(), content.encode(), sha1).digest()
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signature = base64.urlsafe_b64encode(digest).rstrip(b"=").decode()
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return {
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"AccessKey": self.access_key,
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"Signature": signature,
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"Timestamp": timestamp,
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"SignatureNonce": nonce,
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}
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def submit_generation(self, prompt: str, size: str, style: str) -> dict:
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uri = "/api/generate/webui/text2img/ultra"
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url = self._build_url(uri)
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params = self._sign(uri)
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styled_prompt = _apply_style_to_prompt(prompt, style)
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aspect_ratio = _SIZE_TO_ASPECT_RATIO.get(size)
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generate_params: dict = {
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"prompt": styled_prompt,
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"imgCount": 1,
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"steps": 30,
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}
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if aspect_ratio:
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generate_params["aspectRatio"] = aspect_ratio
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else:
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w, h = _parse_size(size)
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generate_params["imageSize"] = {"width": w, "height": h}
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body = {
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"templateUuid": self.template_uuid,
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"generateParams": generate_params,
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}
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response = self.http_client.post(
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url,
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params=params,
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headers={"Content-Type": "application/json"},
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json=body,
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)
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response.raise_for_status()
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data = response.json()
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if data.get("code") != 0:
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raise RuntimeError(f"Liblib submit failed: {data.get('msg', data)}")
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generate_uuid = data["data"]["generateUuid"]
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return {"status": "processing", "job_id": generate_uuid, "image_url": None}
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def poll_until_complete(
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self, job: dict, poll_interval_seconds: int, max_attempts: int
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) -> dict:
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uri = "/api/generate/webui/status"
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for attempt in range(max_attempts):
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url = self._build_url(uri)
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params = self._sign(uri)
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response = self.http_client.post(
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url,
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params=params,
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headers={"Content-Type": "application/json"},
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json={"generateUuid": job["job_id"]},
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)
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response.raise_for_status()
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data = response.json()
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if data.get("code") != 0:
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raise RuntimeError(
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f"Liblib status query failed: {data.get('msg', data)}"
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)
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result = data.get("data", {})
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status = result.get("generateStatus")
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if status == 5:
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images = result.get("images") or []
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if images:
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return {
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"status": "completed",
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"image_url": images[0]["imageUrl"],
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"job_id": job["job_id"],
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}
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raise RuntimeError(
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f"Liblib returned success but no images for {job['job_id']}"
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)
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if status == 6:
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raise RuntimeError(
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f"Liblib generation failed: {result.get('generateMsg', 'unknown')}"
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)
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if status == 7:
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raise TimeoutError(
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f"Liblib returned undocumented status 7 for {job['job_id']}"
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)
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logger.debug(
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"Liblib poll attempt {}/{}, status={}, job={}",
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attempt + 1,
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max_attempts,
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status,
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job["job_id"],
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)
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time.sleep(poll_interval_seconds)
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raise TimeoutError(
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f"Liblib image generation timed out after {max_attempts} attempts for {job['job_id']}"
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)
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def download_image(self, job: dict) -> bytes:
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image_url = job["image_url"]
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_validate_download_url(image_url, self.allowed_download_hosts)
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response = self.http_client.get(image_url)
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response.raise_for_status()
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return response.content
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def download_image_from_url(self, image_url: str) -> bytes:
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"""按 URL 下载图片(用于 port 的 download_image)。"""
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return self.download_image({"image_url": image_url})
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def close(self) -> None:
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if self._owns_http_client:
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self.http_client.close()
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def __enter__(self) -> "LiblibImageProvider":
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return self
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def __exit__(self, exc_type, exc, tb) -> None:
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self.close()
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class _LiblibAuthRedactionFilter(logging.Filter):
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def filter(self, record: logging.LogRecord) -> bool:
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record.msg = _redact_sensitive_query_values(record.msg)
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if record.args:
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if isinstance(record.args, dict):
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record.args = {
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k: _redact_sensitive_query_values(v) for k, v in record.args.items()
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}
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else:
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record.args = tuple(
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_redact_sensitive_query_values(v) for v in record.args
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)
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return True
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def _redact_sensitive_query_values(value):
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if isinstance(value, str):
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return _SENSITIVE_QUERY_RE.sub(r"\1\2=[REDACTED]", value)
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return value
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def _install_http_log_redaction() -> None:
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"""对 httpx/httpcore 的标准库 Logger 挂 Filter(非 loguru get_logger)。"""
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for logger_name in (
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"httpx",
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"httpcore",
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"httpcore.connection",
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"httpcore.http11",
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"httpcore.proxy",
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):
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target_logger = logging.getLogger(logger_name)
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if getattr(target_logger, "_liblib_auth_redaction_installed", False):
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continue
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target_logger.addFilter(_LiblibAuthRedactionFilter())
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target_logger._liblib_auth_redaction_installed = True
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def _build_allowed_download_hosts(
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base_url: str,
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allowed_download_hosts: tuple[str, ...] | None = None,
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) -> tuple[str, ...]:
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configured_hosts = allowed_download_hosts
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if configured_hosts is None:
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configured_hosts = tuple(
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host.strip().lower()
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for host in (settings.memoir_image_download_hosts or "").split(",")
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if host.strip()
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)
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base_hostname = (urlparse(base_url).hostname or "").lower()
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default_hosts: set[str] = set()
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if base_hostname:
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default_hosts.add(base_hostname)
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if (
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base_hostname.endswith(".liblibai.cloud")
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or base_hostname == "liblibai.cloud"
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):
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default_hosts.add("liblibai.cloud")
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default_hosts.add("liblib.cloud")
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return tuple(sorted(default_hosts.union(configured_hosts)))
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def _validate_download_url(image_url: str, allowed_hosts: tuple[str, ...]) -> None:
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parsed = urlparse(image_url)
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hostname = (parsed.hostname or "").lower()
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if parsed.scheme != "https" or not hostname:
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raise ValueError(f"Unsupported image download URL: {image_url}")
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if not any(
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_hostname_matches(hostname, allowed_host) for allowed_host in allowed_hosts
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):
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raise ValueError(f"Image download host is not allowed: {hostname}")
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def _hostname_matches(hostname: str, allowed_host: str) -> bool:
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normalized_allowed = allowed_host.strip().lower()
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if not normalized_allowed:
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return False
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return hostname == normalized_allowed or hostname.endswith(f".{normalized_allowed}")
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def _apply_style_to_prompt(prompt: str, style: str) -> str:
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cleaned_prompt = (prompt or "").strip()
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cleaned_style = (style or "").strip()
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if not cleaned_style:
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return cleaned_prompt
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if cleaned_style.lower() in cleaned_prompt.lower():
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return cleaned_prompt
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if not cleaned_prompt:
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return cleaned_style
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return f"{cleaned_style}, {cleaned_prompt}"
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