8d9b69ba93
Implement document translation feature using DIFY AI API with batch processing: Backend: - Add DIFY client with batch translation support (5000 chars, 20 items per batch) - Add translation service with element extraction and result building - Add translation router with start/status/result/list/delete endpoints - Add translation schemas (TranslationRequest, TranslationStatus, etc.) Frontend: - Enable translation UI in TaskDetailPage - Add translation API methods to apiV2.ts - Add translation types Features: - Batch translation with numbered markers [1], [2], [3]... - Support for text, title, header, footer, paragraph, footnote, table cells - Translation result JSON with statistics (tokens, latency, batch_count) - Background task processing with progress tracking 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
50 lines
1.1 KiB
Python
50 lines
1.1 KiB
Python
"""
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Tool_OCR - API Schemas (V2)
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Pydantic models for request/response validation
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"""
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from app.schemas.auth import LoginRequest, Token, UserResponse
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from app.schemas.task import (
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TaskCreate,
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TaskUpdate,
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TaskResponse,
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TaskDetailResponse,
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TaskListResponse,
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TaskStatsResponse,
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TaskStatusEnum,
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)
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from app.schemas.translation import (
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TranslationStatusEnum,
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TranslationRequest,
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TranslationProgress,
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TranslationStatusResponse,
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TranslationStartResponse,
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TranslationStatistics,
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TranslationResultResponse,
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TranslationListResponse,
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)
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__all__ = [
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# Auth
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"LoginRequest",
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"Token",
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"UserResponse",
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# Task
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"TaskCreate",
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"TaskUpdate",
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"TaskResponse",
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"TaskDetailResponse",
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"TaskListResponse",
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"TaskStatsResponse",
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"TaskStatusEnum",
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# Translation
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"TranslationStatusEnum",
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"TranslationRequest",
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"TranslationProgress",
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"TranslationStatusResponse",
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"TranslationStartResponse",
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"TranslationStatistics",
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"TranslationResultResponse",
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"TranslationListResponse",
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]
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