9c916d12f4
Major release with significant performance improvements and new processing strategy. ## Core Changes - Implemented simple_full_document processing strategy (default) - Full document → LLM approach: 1-2 passes, ~5-6 minutes processing time - Achieved 100% completeness with 2 API calls (down from 5+) - Removed redundant Document AI passes for faster processing ## Financial Data Extraction - Enhanced deterministic financial table parser - Improved FY3/FY2/FY1/LTM identification from varying CIM formats - Automatic merging of parser results with LLM extraction ## Code Quality & Infrastructure - Cleaned up debug logging (removed emoji markers from production code) - Fixed Firebase Secrets configuration (using modern defineSecret approach) - Updated OpenAI API key - Resolved deployment conflicts (secrets vs environment variables) - Added .env files to Firebase ignore list ## Deployment - Firebase Functions v2 deployment successful - All 7 required secrets verified and configured - Function URL: https://api-y56ccs6wva-uc.a.run.app ## Performance Improvements - Processing time: ~5-6 minutes (down from 23+ minutes) - API calls: 1-2 (down from 5+) - Completeness: 100% achievable - LLM Model: claude-3-7-sonnet-latest ## Breaking Changes - Default processing strategy changed to 'simple_full_document' - RAG processor available as alternative strategy 'document_ai_agentic_rag' ## Files Changed - 36 files changed, 5642 insertions(+), 4451 deletions(-) - Removed deprecated documentation files - Cleaned up unused services and models This release represents a major refactoring focused on speed, accuracy, and maintainability.
61 lines
1.8 KiB
SQL
61 lines
1.8 KiB
SQL
-- Fix: Foreign key constraint may be checking wrong schema or table
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-- PostgreSQL FK checks happen at engine level and should bypass RLS
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-- But if the constraint points to wrong table, it will fail
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-- Step 1: Check FK constraint definition
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SELECT
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tc.constraint_name,
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tc.table_schema,
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tc.table_name,
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kcu.column_name,
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ccu.table_schema AS foreign_table_schema,
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ccu.table_name AS foreign_table_name,
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ccu.column_name AS foreign_column_name
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FROM information_schema.table_constraints AS tc
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JOIN information_schema.key_column_usage AS kcu
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ON tc.constraint_name = kcu.constraint_name
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AND tc.table_schema = kcu.table_schema
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JOIN information_schema.constraint_column_usage AS ccu
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ON ccu.constraint_name = tc.constraint_name
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AND ccu.table_schema = tc.table_schema
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WHERE tc.constraint_type = 'FOREIGN KEY'
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AND tc.table_name = 'processing_jobs'
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AND kcu.column_name = 'document_id';
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-- Step 2: Check if document exists in public.documents (explicit schema)
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SELECT COUNT(*) as document_count
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FROM public.documents
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WHERE id = '78359b58-762c-4a68-a8e4-17ce38580a8d'::uuid;
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-- Step 3: Create job with explicit schema (if needed)
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-- First, let's try dropping and recreating the FK constraint with explicit schema
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ALTER TABLE processing_jobs
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DROP CONSTRAINT IF EXISTS processing_jobs_document_id_fkey;
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ALTER TABLE processing_jobs
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ADD CONSTRAINT processing_jobs_document_id_fkey
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FOREIGN KEY (document_id)
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REFERENCES public.documents(id)
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ON DELETE CASCADE;
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-- Step 4: Now try creating the job
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INSERT INTO processing_jobs (
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document_id,
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user_id,
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status,
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attempts,
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max_attempts,
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options,
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created_at
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) VALUES (
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'78359b58-762c-4a68-a8e4-17ce38580a8d'::uuid,
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'B00HiMnleGhGdJgQwbX2Ume01Z53',
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'pending',
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0,
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3,
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'{"strategy": "document_ai_agentic_rag"}'::jsonb,
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NOW()
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)
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RETURNING id, document_id, status, created_at;
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