mirror of
https://github.com/lrnselfreliance/wrolpi.git
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61f2cb20ee
New read-only GET /api/ai/files/list lists one directory of the media directory (directories first, then files with size and guessed mimetype), paged at 100 entries. Every entry carries its relative path for list_files or read_file. Same guards as read_file via a shared resolver: no escaping the media directory, and the config directory is refused and hidden from the root listing. The agent loop picks the operation up from the spec; library mode allowlists it. wrolpi_mcp gains the matching list_files proxy tool. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
85 lines
1.9 KiB
Python
85 lines
1.9 KiB
Python
import dataclasses
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from typing import List, Optional
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@dataclasses.dataclass
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class AISearchRequest:
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search_str: Optional[str] = None
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limit: int = 5
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offset: int = 0
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mimetypes: Optional[List[str]] = None
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tag_names: Optional[List[str]] = None
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@dataclasses.dataclass
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class AIVideoSearchRequest:
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search_str: Optional[str] = None
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limit: int = 5
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offset: int = 0
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channel_id: Optional[int] = None
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tag_names: Optional[List[str]] = None
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@dataclasses.dataclass
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class AIArchiveSearchRequest:
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search_str: Optional[str] = None
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limit: int = 5
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offset: int = 0
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domain: Optional[str] = None
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tag_names: Optional[List[str]] = None
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@dataclasses.dataclass
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class AIDocSearchRequest:
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search_str: Optional[str] = None
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author: Optional[str] = None
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subject: Optional[str] = None
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language: Optional[str] = None
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mimetype: Optional[str] = None
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limit: int = 5
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offset: int = 0
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tag_names: Optional[List[str]] = None
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@dataclasses.dataclass
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class AIZimSearchRequest:
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search_str: Optional[str] = None
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zim_id: Optional[int] = None
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limit: int = 5
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offset: int = 0
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@dataclasses.dataclass
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class AIHelpSearchRequest:
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search_str: Optional[str] = None
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limit: int = 5
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@dataclasses.dataclass
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class AIManageSettingsRequest:
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enabled: Optional[bool] = None
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active_model: Optional[str] = None
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idle_unload_minutes: Optional[int] = None
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context_size: Optional[int] = None
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@dataclasses.dataclass
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class AISearchResponse:
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results: list = dataclasses.field(default_factory=list)
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total: int = 0
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@dataclasses.dataclass
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class AIPagedTextResponse:
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content: str = ''
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next_offset: Optional[int] = None
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total_chars: int = 0
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@dataclasses.dataclass
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class AIListFilesResponse:
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path: str = ''
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directories: list = dataclasses.field(default_factory=list)
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files: list = dataclasses.field(default_factory=list)
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total: int = 0
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next_offset: Optional[int] = None
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