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21bc1ab7ec
### What problem does this PR solve? This PR adds comprehensive **Right-to-Left (RTL) language support**, primarily targeting Arabic and other RTL scripts (Hebrew, Persian, Urdu, etc.). Previously, RTL content had multiple rendering issues: - Incorrect sentence splitting for Arabic punctuation in citation logic - Misaligned text in chat messages and markdown components - Improper positioning of blockquotes and “think” sections - Incorrect table alignment - Citation placement ambiguity in RTL prompts - UI layout inconsistencies when mixing LTR and RTL text This PR introduces backend and frontend improvements to properly detect, render, and style RTL content while preserving existing LTR behavior. #### Backend - Updated sentence boundary regex in `rag/nlp/search.py` to include Arabic punctuation: - `،` (comma) - `؛` (semicolon) - `؟` (question mark) - `۔` (Arabic full stop) - Ensures citation insertion works correctly in RTL sentences. - Updated citation prompt instructions to clarify citation placement rules for RTL languages. #### Frontend - Introduced a new utility: `text-direction.ts` - Detects text direction based on Unicode ranges. - Supports Arabic, Hebrew, Syriac, Thaana, and related scripts. - Provides `getDirAttribute()` for automatic `dir` assignment. - Applied dynamic `dir` attributes across: - Markdown rendering - Chat messages - Search results - Tables - Hover cards and reference popovers - Added proper RTL styling in LESS: - Text alignment adjustments - Blockquote border flipping - Section indentation correction - Table direction switching - Use of `<bdi>` for figure labels to prevent bidirectional conflicts #### DevOps / Environment - Added Windows backend launch script with retry handling. - Updated dependency metadata. - Adjusted development-only React debugging behavior. --- ### Type of change - [x] Bug Fix (non-breaking change which fixes RTL rendering and citation issues) - [x] New Feature (non-breaking change which adds RTL detection and dynamic direction handling) --------- Co-authored-by: 6ba3i <isbaaoui09@gmail.com> Co-authored-by: Ahmad Intisar <ahmadintisar@Ahmads-MacBook-M4-Pro.local> Co-authored-by: Ahmad Intisar <168020872+ahmadintisar@users.noreply.github.com> Co-authored-by: Liu An <asiro@qq.com>
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from __future__ import annotations
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import re
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import unicodedata
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ARABIC_PRESENTATION_FORMS_RE = re.compile(r"[\uFB50-\uFDFF\uFE70-\uFEFF]")
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def normalize_arabic_digits(text: str | None) -> str | None:
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if text is None or not isinstance(text, str):
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return text
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out = []
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for ch in text:
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code = ord(ch)
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if 0x0660 <= code <= 0x0669:
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out.append(chr(code - 0x0660 + 0x30))
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elif 0x06F0 <= code <= 0x06F9:
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out.append(chr(code - 0x06F0 + 0x30))
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else:
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out.append(ch)
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return "".join(out)
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def normalize_arabic_presentation_forms(text: str | None) -> str | None:
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"""Normalize Arabic presentation forms to canonical text when present."""
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if text is None or not isinstance(text, str):
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return text
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if not ARABIC_PRESENTATION_FORMS_RE.search(text):
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return text
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return unicodedata.normalize("NFKC", text)
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