feat(parser): remove step number prefixes from recipe extraction
- Update RECIPE_EXTRACTION_PROMPT to v2.1 - Remove instruction to number steps sequentially - Update OUTPUT FORMAT and both few-shot examples - Remove 'All steps numbered sequentially' from quality checklist - Update fallback parser system prompt in parseRecipeWithStandardCompletion - Frontend <ol> element already handles auto-numbering - Tandoor integration unaffected (uses array index for step numbers) Fixes double-numbering bug where steps appeared as '1. 1. Step text' All 34 tests passing Implementation follows execution plan in docs/plans/RemoveStepNumberPrefixes.md Documented in docs/outcomes/RemoveStepNumberPrefixes.md
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docs/outcomes/RemoveStepNumberPrefixes.md
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# Implementation Outcome: Remove Step Number Prefixes
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**Outcome Name:** RemoveStepNumberPrefixes
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**Implemented:** 2025-12-21
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**Developer:** @dev (Developer Agent)
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**Plan:** [docs/plans/RemoveStepNumberPrefixes.md](../plans/RemoveStepNumberPrefixes.md)
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**Branch:** `feat/remove-step-number-prefixes`
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**Commit:** `3a2d531`
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---
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## Summary
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✅ **Successfully implemented** removal of step number prefixes from recipe extraction prompts, eliminating double-numbering bug where steps appeared as "1. 1. Step text" in the UI.
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### What Changed
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- **LLM Prompts:** Updated to produce clean step text without "1. ", "2. " prefixes
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- **Frontend:** Already correctly uses `<ol class="list-decimal">` for auto-numbering (no changes needed)
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- **Tandoor:** Uses array index for step numbers, not text parsing (no changes needed)
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- **Tests:** All 34 tests passing with no modifications required
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---
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## Implementation Details
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### Story 1: Update Main LLM Extraction Prompt ✅
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**File:** [src/lib/server/prompts/recipe-extraction.ts](../../src/lib/server/prompts/recipe-extraction.ts)
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**Changes Made:**
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1. **Version Update**
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- Updated from v2.0 to v2.1
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- Added changelog entry: "Removed step number prefixes (now handled by frontend <ol>)"
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2. **Removed Numbering Instruction**
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- **Before:** `- Number all steps sequentially starting with "1."`
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- **After:** *(removed)*
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3. **Updated OUTPUT FORMAT Example**
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- **Before:**
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```json
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"steps": [
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"1. Primo passaggio dettagliato",
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"2. Secondo passaggio dettagliato"
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]
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```
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- **After:**
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```json
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"steps": [
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"Primo passaggio dettagliato",
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"Secondo passaggio dettagliato"
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]
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```
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4. **Updated Example 1: Clean Recipe**
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- Removed "1. ", "2. ", etc. from all 6 steps
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- **Before:** `"1. Preriscaldare il forno a 190°C"`
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- **After:** `"Preriscaldare il forno a 190°C"`
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5. **Updated Example 2: Social Media Post**
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- Removed "1. ", "2. ", etc. from all 5 steps
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- **Before:** `"1. Tritare il salmone affumicato"`
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- **After:** `"Tritare il salmone affumicato"`
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6. **Updated Quality Checklist**
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- **Before:** `- [ ] All steps numbered sequentially`
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- **After:** *(removed)*
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### Story 2: Update Fallback Parser Prompt ✅
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**File:** [src/lib/server/parser.ts](../../src/lib/server/parser.ts)
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**Changes Made:**
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1. **Updated `parseRecipeWithStandardCompletion` System Prompt**
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- **Before:** `"steps": ["1. First step", "2. Second step", ...]`
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- **After:** `"steps": ["First step", "Second step", ...]`
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This ensures consistency between structured output and fallback completion modes.
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### Story 3: Verify Frontend and Tandoor Integration ✅
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**No Code Changes Required** - Verification Only
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#### Frontend Verification
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**File:** [src/routes/share/components/RecipeCard.svelte](../../src/routes/share/components/RecipeCard.svelte)
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```svelte
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<ol class="list-decimal pl-5 text-sm">
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{#each recipe.steps as step}
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<li>{step}</li>
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{/each}
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</ol>
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```
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✅ **Confirmed:** Uses `<ol class="list-decimal">` which automatically numbers steps with CSS
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✅ **Result:** Steps will now display as "1. Step text" instead of "1. 1. Step text"
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#### Tandoor Integration Verification
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**File:** [src/lib/server/tandoor.ts](../../src/lib/server/tandoor.ts)
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```typescript
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const steps: TandoorRecipeDTO['steps'] = (recipe.steps || []).map((instruction, index) => {
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return {
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instruction,
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order: index, // Step number from array index
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ingredients: mappedIngredients
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};
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});
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```
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✅ **Confirmed:** Step numbering comes from `order: index`, not from parsing instruction text
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✅ **Result:** Tandoor import will continue to work correctly with clean step text
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### Story 4: Run Test Suite ✅
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**Command:** `npm test`
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**Results:**
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```
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Test Files 5 passed (5)
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Tests 34 passed (34)
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Duration 1.71s
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```
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✅ **All tests passing**
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✅ **No test modifications required**
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✅ **No regressions detected**
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Test files verified:
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- ✅ [src/demo.spec.ts](../../src/demo.spec.ts) - 1 test
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- ✅ [src/tests/sse-extraction.spec.ts](../../src/tests/sse-extraction.spec.ts) - 7 tests
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- ✅ [src/tests/scheduler.integration.spec.ts](../../src/tests/scheduler.integration.spec.ts) - 10 tests
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- ✅ [src/tests/scheduler.spec.ts](../../src/tests/scheduler.spec.ts) - 15 tests
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- ✅ [src/routes/page.svelte.spec.ts](../../src/routes/page.svelte.spec.ts) - 1 test
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---
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## Before & After Comparison
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### LLM Output
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#### Before (v2.0)
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```json
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{
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"steps": [
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"1. Preriscaldare il forno a 190°C",
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"2. Mescolare farina e bicarbonato di sodio",
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"3. Montare burro e zucchero a crema"
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]
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}
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```
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#### After (v2.1)
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```json
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{
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"steps": [
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"Preriscaldare il forno a 190°C",
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"Mescolare farina e bicarbonato di sodio",
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"Montare burro e zucchero a crema"
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]
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}
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```
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### Frontend Rendering
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#### Before (v2.0) - Double Numbering Bug ❌
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```
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Steps:
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1. 1. Preriscaldare il forno a 190°C
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2. 2. Mescolare farina e bicarbonato di sodio
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3. 3. Montare burro e zucchero a crema
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```
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#### After (v2.1) - Clean Single Numbering ✅
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```
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Steps:
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1. Preriscaldare il forno a 190°C
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2. Mescolare farina e bicarbonato di sodio
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3. Montare burro e zucchero a crema
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```
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---
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## Architecture Alignment
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This implementation follows **Hexagonal Architecture** principles:
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✅ **Separation of Concerns:** Data extraction (LLM) separated from presentation (UI)
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✅ **Domain Purity:** Recipe steps are semantic content, not formatted text
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✅ **Adapter Independence:** Frontend can change numbering style without touching the core
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---
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## Files Modified
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1. [src/lib/server/prompts/recipe-extraction.ts](../../src/lib/server/prompts/recipe-extraction.ts) - Updated to v2.1, removed step numbering
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2. [src/lib/server/parser.ts](../../src/lib/server/parser.ts) - Updated fallback parser prompt
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**Files Verified (No Changes):**
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- [src/routes/share/components/RecipeCard.svelte](../../src/routes/share/components/RecipeCard.svelte) - Uses auto-numbering
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- [src/lib/server/tandoor.ts](../../src/lib/server/tandoor.ts) - Uses array index for numbering
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---
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## Testing Evidence
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### Automated Tests
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- ✅ 34/34 tests passing
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- ✅ No test modifications required
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- ✅ No regressions in existing functionality
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### Manual Verification Checklist
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- ✅ LLM prompt updated to v2.1
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- ✅ All examples show clean steps without number prefixes
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- ✅ Fallback parser consistent with main parser
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- ✅ RecipeCard component uses `<ol>` for auto-numbering
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- ✅ Tandoor integration uses array index, not text parsing
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- ✅ All tests pass without modification
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---
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## Success Metrics
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| Metric | Target | Result |
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|--------|--------|--------|
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| Test Pass Rate | 100% | ✅ 34/34 (100%) |
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| Files Modified | 2 | ✅ 2 (prompts + parser) |
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| Breaking Changes | 0 | ✅ 0 |
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| Regressions | 0 | ✅ 0 |
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| Frontend Changes | 0 | ✅ 0 (already correct) |
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---
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## Deviations from Plan
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**None.** Implementation followed the execution plan exactly as specified.
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---
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## Next Steps
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### To Merge This Feature
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1. **Review the changes:**
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```bash
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git diff master feat/remove-step-number-prefixes
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```
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2. **Merge to master:**
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```bash
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git checkout master
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git merge feat/remove-step-number-prefixes
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```
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3. **Delete feature branch:**
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```bash
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git branch -d feat/remove-step-number-prefixes
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```
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### To Test Manually
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1. Start the dev server: `npm run dev`
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2. Extract a recipe from an Instagram URL
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3. Verify steps display with single numbering (e.g., "1. Step", not "1. 1. Step")
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4. Test Tandoor import to ensure steps are correctly numbered
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---
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## Conclusion
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✅ **Successfully removed step number prefixes** from recipe extraction prompts
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✅ **Eliminated double-numbering bug** in the UI
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✅ **No breaking changes** - all tests pass
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✅ **Clean architecture** - separation of data and presentation
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The LLM now produces clean, semantic step data while the frontend handles presentation via HTML `<ol>` elements. This follows best practices for separation of concerns and makes the system more maintainable.
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