feat(data-entry): Bulk Receipt Upload cu Mobile UX Android Nativ
## Funcționalități Principale ### Bulk Upload & Processing - Drag & drop pentru upload bonuri multiple oriunde pe pagină - Batch processing cu job queue și worker pool - Real-time updates via SSE (Server-Sent Events) cu fallback polling - Duplicate detection via SHA-256 file hash - Auto-retry pentru job-uri failed - Cancel individual jobs sau batch complet ### Mobile UX - Android Native Style - Top bar fixă cu hamburger, titlu centrat, acțiuni (search/filter) - Bottom navigation cu 4 tab-uri (Bonuri, Upload, Rapoarte, Setări) - FAB (Floating Action Button) cu hide/show on scroll - Filter chips orizontal scrollabile - Selecție multiplă prin long-press (500ms) - Select All + Bulk Delete cu confirmare - Layout Android pentru Create/Edit/View bon (Gmail compose style) ### Bug Fixes - Refresh individual via SSE în loc de refresh total pagină - Bonurile cu eroare OCR rămân vizibile pentru editare manuală - Afișare nume fișier original pentru toate bonurile - Upload stabil pe mobil (fix race condition File API) - Păstrare ordine bonuri la refresh (nu se reordonează) ### Backend - SSE endpoint pentru status updates real-time - Bulk delete endpoint cu partial success - Auto-cleanup bonuri failed după 7 zile - Batch model cu tracking complet ### Testing - E2E tests cu Playwright - Unit tests pentru bulk upload, auto-create, cleanup ## Commits Squashed: 43 user stories (US-001 → US-043) ## Branch: ralph/bulk-receipt-upload ## Timp dezvoltare: ~3 zile (Ralph autonomous) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Claude Agent
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"""Add company_id to batch_uploads table.
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Revision ID: 20260109_batch_company
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Revises: 20251231_add_original_filename_to_metrics
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Create Date: 2026-01-09
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This migration adds the company_id column to batch_uploads to support
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automatic receipt creation during bulk upload processing.
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"""
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision = '20260109_batch_company'
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down_revision = None # Will be auto-detected
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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"""Add company_id column to batch_uploads table."""
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# Check if column already exists (SQLModel may have created it)
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conn = op.get_bind()
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inspector = sa.inspect(conn)
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# Check if batch_uploads table exists
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if 'batch_uploads' in inspector.get_table_names():
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columns = [col['name'] for col in inspector.get_columns('batch_uploads')]
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if 'company_id' not in columns:
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op.add_column(
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'batch_uploads',
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sa.Column('company_id', sa.Integer(), nullable=True)
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)
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# Create index for company_id
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op.create_index(
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'ix_batch_uploads_company_id',
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'batch_uploads',
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['company_id'],
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unique=False
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)
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def downgrade() -> None:
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"""Remove company_id column from batch_uploads table."""
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conn = op.get_bind()
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inspector = sa.inspect(conn)
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if 'batch_uploads' in inspector.get_table_names():
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columns = [col['name'] for col in inspector.get_columns('batch_uploads')]
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if 'company_id' in columns:
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op.drop_index('ix_batch_uploads_company_id', table_name='batch_uploads')
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op.drop_column('batch_uploads', 'company_id')
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"""Add batch processing fields to receipts table.
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Revision ID: add_batch_processing_fields
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Revises: add_original_filename_to_metrics
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Create Date: 2026-01-11
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Adds fields for bulk upload batch tracking:
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- batch_id: UUID string for grouping receipts from same upload
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- processing_status: enum (pending/processing/completed/failed)
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- processing_error: full error message text
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- file_hash: SHA-256 hash for duplicate detection
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- processing_started_at: when OCR processing started
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- processing_completed_at: when OCR processing completed
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Also creates indexes for efficient querying.
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"""
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from alembic import op
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import sqlalchemy as sa
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# Revision identifiers
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revision = 'add_batch_processing_fields'
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down_revision = 'add_original_filename_to_metrics'
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branch_labels = None
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depends_on = None
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def upgrade() -> None:
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"""Add batch processing columns to receipts table."""
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conn = op.get_bind()
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inspector = sa.inspect(conn)
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# Get existing columns
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columns = [col['name'] for col in inspector.get_columns('receipts')]
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# Add batch_id column with index
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if 'batch_id' not in columns:
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op.add_column(
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'receipts',
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sa.Column('batch_id', sa.String(length=50), nullable=True)
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)
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op.create_index(
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'ix_receipts_batch_id',
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'receipts',
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['batch_id'],
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unique=False
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)
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# Add processing_status column with index
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if 'processing_status' not in columns:
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op.add_column(
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'receipts',
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sa.Column('processing_status', sa.String(length=20), nullable=True)
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)
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op.create_index(
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'ix_receipts_processing_status',
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'receipts',
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['processing_status'],
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unique=False
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)
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# Add processing_error column (TEXT for full error messages)
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if 'processing_error' not in columns:
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op.add_column(
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'receipts',
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sa.Column('processing_error', sa.Text(), nullable=True)
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)
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# Add file_hash column with index for duplicate detection
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if 'file_hash' not in columns:
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op.add_column(
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'receipts',
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sa.Column('file_hash', sa.String(length=64), nullable=True)
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)
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op.create_index(
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'ix_receipts_file_hash',
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'receipts',
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['file_hash'],
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unique=False
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)
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# Add processing_started_at column
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if 'processing_started_at' not in columns:
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op.add_column(
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'receipts',
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sa.Column('processing_started_at', sa.DateTime(), nullable=True)
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)
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# Add processing_completed_at column
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if 'processing_completed_at' not in columns:
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op.add_column(
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'receipts',
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sa.Column('processing_completed_at', sa.DateTime(), nullable=True)
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)
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def downgrade() -> None:
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"""Remove batch processing columns from receipts table."""
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conn = op.get_bind()
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inspector = sa.inspect(conn)
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columns = [col['name'] for col in inspector.get_columns('receipts')]
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indexes = [idx['name'] for idx in inspector.get_indexes('receipts')]
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# Remove indexes first (SQLite batch mode)
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if 'ix_receipts_batch_id' in indexes:
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op.drop_index('ix_receipts_batch_id', table_name='receipts')
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if 'ix_receipts_processing_status' in indexes:
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op.drop_index('ix_receipts_processing_status', table_name='receipts')
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if 'ix_receipts_file_hash' in indexes:
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op.drop_index('ix_receipts_file_hash', table_name='receipts')
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# Remove columns (in reverse order of addition)
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if 'processing_completed_at' in columns:
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op.drop_column('receipts', 'processing_completed_at')
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if 'processing_started_at' in columns:
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op.drop_column('receipts', 'processing_started_at')
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if 'file_hash' in columns:
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op.drop_column('receipts', 'file_hash')
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if 'processing_error' in columns:
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op.drop_column('receipts', 'processing_error')
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if 'processing_status' in columns:
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op.drop_column('receipts', 'processing_status')
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if 'batch_id' in columns:
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op.drop_column('receipts', 'batch_id')
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