Download backend/models.py from smlflg/BookmarkBrain: direct link, hf CLI and curl.
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- Download file 1.27 kB
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https://huggingface.co/smlflg/BookmarkBrain/resolve/main/backend/models.py
- Command line
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hf download hf://smlflg/BookmarkBrain/backend/models.py
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curl -L -o models.py https://huggingface.co/smlflg/BookmarkBrain/resolve/main/backend/models.py
1.27 kB
| from __future__ import annotations | |
| from datetime import datetime | |
| from typing import Optional | |
| from pydantic import BaseModel, HttpUrl | |
| class BookmarkCreate(BaseModel): | |
| url: str | |
| title: str | |
| description: str = "" | |
| context: str = "" | |
| user_tags: list[str] = [] | |
| class BookmarkUpdate(BaseModel): | |
| title: Optional[str] = None | |
| description: Optional[str] = None | |
| context: Optional[str] = None | |
| user_tags: Optional[list[str]] = None | |
| class BookmarkResponse(BaseModel): | |
| id: int | |
| url: str | |
| title: str | |
| description: str | |
| context: str | |
| folder_path: str | |
| domain: str | |
| auto_tags: list[str] | |
| user_tags: list[str] | |
| content_snippet: str | |
| created_at: str | |
| updated_at: str | |
| visit_count: int | |
| is_dead: bool | |
| class SearchResult(BaseModel): | |
| bookmark: BookmarkResponse | |
| score: float | |
| match_type: str | |
| class SearchResponse(BaseModel): | |
| results: list[SearchResult] | |
| query: str | |
| total: int | |
| class ImportResult(BaseModel): | |
| imported: int | |
| skipped: int | |
| errors: int | |
| class TagCount(BaseModel): | |
| tag: str | |
| count: int | |
| class StatsResponse(BaseModel): | |
| total_bookmarks: int | |
| total_tags: int | |
| top_domains: list[dict] | |
| dead_links: int | |
| recent_bookmarks: list[BookmarkResponse] | |