feat: add ai provider adapters
This commit is contained in:
@@ -0,0 +1,262 @@
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from __future__ import annotations
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import base64
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import binascii
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import re
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from pathlib import Path
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from typing import Any, Iterable
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from urllib.parse import urljoin, urlparse
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import requests
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from .base import AiProviderConfigError, AiResponseParseError
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API_AUTO = "auto"
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API_CHAT = "chat"
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API_GEMINI = "gemini"
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API_IMAGES = "images"
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API_IMAGES_EDITS = "images_edits"
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SUPPORTED_API_TYPES = {
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API_AUTO,
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API_CHAT,
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API_GEMINI,
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API_IMAGES,
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API_IMAGES_EDITS,
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}
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RESOLUTION_TIMEOUTS = {"512": 180, "1K": 240, "2K": 360, "4K": 600}
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BASE64_KEYS = {"image_base64", "base64", "b64_json", "data"}
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IMAGE_EXTENSIONS = {".png", ".jpg", ".jpeg", ".webp", ".gif"}
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TITLE_LEAD = re.compile(r"^\s*(?:\d+\s*[\.\)、::]|[-*•])\s*")
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TITLE_CIRCLED = "①②③④⑤⑥⑦⑧⑨⑩"
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TITLE_QUOTES = "\"'「」『』“”‘’"
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TITLE_SPLIT = re.compile(r"[,,\r\n]+")
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def resolution_timeout(resolution: str, default: int = 240) -> int:
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return RESOLUTION_TIMEOUTS.get(str(resolution).strip().upper(), default)
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def request_timeout(connect_timeout: int, read_timeout: int, resolution: str) -> tuple[int, int]:
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resolved_read_timeout = read_timeout if read_timeout > 0 else resolution_timeout(resolution)
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return connect_timeout, resolved_read_timeout
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def detect_api_type(url: str, api_type: str = API_AUTO) -> str:
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if api_type and api_type != API_AUTO:
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if api_type not in SUPPORTED_API_TYPES:
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raise AiProviderConfigError(f"unsupported api_type: {api_type}")
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return api_type
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lower_url = str(url).lower()
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if "generatecontent" in lower_url or "gemini" in lower_url:
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return API_GEMINI
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if "/images/edits" in lower_url:
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return API_IMAGES_EDITS
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if "/images" in lower_url:
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return API_IMAGES
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return API_CHAT
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def normalize_api_url(url: str, api_type: str) -> str:
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raw = str(url).strip()
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if not raw:
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return raw
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endpoint = {
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API_CHAT: "chat/completions",
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API_IMAGES: "images/generations",
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API_IMAGES_EDITS: "images/edits",
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}.get(api_type)
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lower_path = urlparse(raw).path.lower().rstrip("/")
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if api_type == API_GEMINI:
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if "generatecontent" in lower_path:
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return raw
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return join_url(raw, "v1beta/models/{model}:generateContent")
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if endpoint is None:
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return raw
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if lower_path.endswith("/" + endpoint):
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return raw
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if lower_path.endswith("/v1"):
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return join_url(raw, endpoint)
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return join_url(raw, "v1/" + endpoint)
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def join_url(base_url: str, suffix: str) -> str:
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base = str(base_url).rstrip("/") + "/"
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return urljoin(base, suffix)
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def image_bytes_to_data_url(image: bytes, mime_type: str = "image/png") -> str:
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encoded = base64.b64encode(image).decode("ascii")
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return f"data:{mime_type};base64,{encoded}"
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def split_data_url(data_url: str) -> tuple[str, str]:
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prefix, encoded = data_url.split(",", 1)
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mime_type = prefix[len("data:") :].split(";", 1)[0]
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return mime_type, encoded
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def decode_image_data_url(data_url: str) -> bytes:
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marker = ";base64,"
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if marker not in data_url:
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raise AiResponseParseError("unsupported data URL image format")
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return base64.b64decode(data_url.split(marker, 1)[1])
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def resolution_to_size(resolution: str) -> str:
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mapping = {
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"512": "512x512",
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"512px": "512x512",
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"1K": "1024x1024",
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"2K": "2048x2048",
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"4K": "4096x4096",
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}
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return mapping.get(str(resolution), str(resolution))
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def extract_image_from_response(
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data: Any,
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*,
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session: requests.Session | None = None,
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timeout: int = 60,
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) -> bytes | None:
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for key, value in walk_json_items(data):
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if not isinstance(value, str):
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continue
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text = value.strip()
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if text.startswith("data:image/"):
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return decode_image_data_url(text)
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if key and key.lower() in BASE64_KEYS and looks_like_base64(text):
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try:
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return base64.b64decode(text)
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except (TypeError, ValueError, binascii.Error):
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pass
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for _key, value in walk_json_items(data):
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if isinstance(value, str) and is_image_url(value):
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return download_image_url(value, session=session, timeout=timeout)
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return None
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def download_image_url(
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url: str,
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*,
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session: requests.Session | None = None,
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timeout: int = 60,
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) -> bytes:
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client = session or requests.Session()
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if hasattr(client, "trust_env"):
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client.trust_env = False
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response = client.get(url, timeout=timeout)
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response.raise_for_status()
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return response.content
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def extract_titles_from_response(data: Any) -> tuple[str, ...]:
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return tuple(clean_titles(extract_raw_text(data)))
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def extract_text_from_response(data: Any) -> str:
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titles = extract_titles_from_response(data)
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return titles[0] if titles else ""
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def extract_raw_text(data: Any) -> str:
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if not isinstance(data, dict):
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return ""
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choices = data.get("choices")
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if isinstance(choices, list) and choices and isinstance(choices[0], dict):
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message = choices[0].get("message")
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if isinstance(message, dict):
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text = content_to_text(message.get("content"))
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if text.strip():
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return text
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legacy = choices[0].get("text")
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if isinstance(legacy, str) and legacy.strip():
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return legacy
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candidates = data.get("candidates")
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if isinstance(candidates, list) and candidates and isinstance(candidates[0], dict):
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content = candidates[0].get("content")
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if isinstance(content, dict) and isinstance(content.get("parts"), list):
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texts = [
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part.get("text")
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for part in content["parts"]
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if isinstance(part, dict) and isinstance(part.get("text"), str)
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]
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joined = "\n".join(text for text in texts if text)
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if joined.strip():
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return joined
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return ""
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def content_to_text(content: Any) -> str:
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if isinstance(content, str):
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return content
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if isinstance(content, list):
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texts = []
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for part in content:
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if isinstance(part, dict) and isinstance(part.get("text"), str):
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texts.append(part["text"])
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elif isinstance(part, str):
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texts.append(part)
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return "\n".join(texts)
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return ""
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def clean_titles(text: str) -> list[str]:
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if not text:
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return []
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out = []
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for piece in TITLE_SPLIT.split(str(text)):
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cleaned = clean_title_line(piece)
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if cleaned:
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out.append(cleaned)
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return out
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def clean_title_line(line: str) -> str:
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stripped = line.strip()
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if not stripped:
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return ""
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stripped = TITLE_LEAD.sub("", stripped)
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stripped = stripped.lstrip(TITLE_CIRCLED).strip()
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stripped = stripped.strip(TITLE_QUOTES).strip()
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return stripped
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def walk_json_items(value: Any, key: str | None = None) -> Iterable[tuple[str | None, Any]]:
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yield key, value
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if isinstance(value, dict):
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for child_key, child_value in value.items():
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yield from walk_json_items(child_value, str(child_key))
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elif isinstance(value, list):
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for child_value in value:
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yield from walk_json_items(child_value, key)
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def looks_like_base64(text: str) -> bool:
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if len(text) < 8:
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return False
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try:
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base64.b64decode(text, validate=True)
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return True
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except (TypeError, ValueError, binascii.Error):
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return False
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def is_image_url(text: str) -> bool:
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parsed = urlparse(text.strip())
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if parsed.scheme.lower() not in ("http", "https"):
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return False
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suffix = Path(parsed.path).suffix.lower()
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return suffix in IMAGE_EXTENSIONS
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