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IMPORVE ONBOARDING STEPS

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This commit is contained in:
Urtzi Alfaro
2025-11-09 09:22:08 +01:00
parent 4678f96f8f
commit cbe19a3cd1
27 changed files with 2801 additions and 1149 deletions
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54
services/auth/app/api/onboarding_progress.py
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@@ -49,12 +49,15 @@ ONBOARDING_STEPS = [
# Phase 2: Core Setup
"setup", # Basic bakery setup and tenant creation
# Phase 2a: AI-Assisted Path (ONLY PATH - manual path removed)
"smart-inventory-setup", # Sales data upload and AI analysis
"product-categorization", # Categorize products as ingredients vs finished products
# Phase 2a: AI-Assisted Inventory Setup (REFACTORED - split into 3 focused steps)
"upload-sales-data", # File upload, validation, and AI classification
"inventory-review", # Review and confirm AI-detected products with type selection
"initial-stock-entry", # Capture initial stock levels
# Phase 2b: Suppliers (shared by all paths)
# Phase 2b: Product Categorization (optional advanced categorization)
"product-categorization", # Advanced categorization (may be deprecated)
# Phase 2c: Suppliers (shared by all paths)
"suppliers-setup", # Suppliers configuration
# Phase 3: Advanced Configuration (all optional)
@@ -78,13 +81,16 @@ STEP_DEPENDENCIES = {
# Core setup - no longer depends on data-source-choice (removed)
"setup": ["user_registered", "bakery-type-selection"],
# AI-Assisted path dependencies (ONLY path now)
"smart-inventory-setup": ["user_registered", "setup"],
"product-categorization": ["user_registered", "setup", "smart-inventory-setup"],
"initial-stock-entry": ["user_registered", "setup", "smart-inventory-setup", "product-categorization"],
# AI-Assisted Inventory Setup - REFACTORED into 3 sequential steps
"upload-sales-data": ["user_registered", "setup"],
"inventory-review": ["user_registered", "setup", "upload-sales-data"],
"initial-stock-entry": ["user_registered", "setup", "upload-sales-data", "inventory-review"],
# Suppliers (after AI inventory setup)
"suppliers-setup": ["user_registered", "setup", "smart-inventory-setup"],
# Advanced product categorization (optional, may be deprecated)
"product-categorization": ["user_registered", "setup", "upload-sales-data"],
# Suppliers (after inventory review)
"suppliers-setup": ["user_registered", "setup", "inventory-review"],
# Advanced configuration (optional, minimal dependencies)
"recipes-setup": ["user_registered", "setup"],
@@ -92,8 +98,8 @@ STEP_DEPENDENCIES = {
"quality-setup": ["user_registered", "setup"],
"team-setup": ["user_registered", "setup"],
# ML Training - requires AI path completion
"ml-training": ["user_registered", "setup", "smart-inventory-setup"],
# ML Training - requires AI path completion (upload-sales-data with inventory review)
"ml-training": ["user_registered", "setup", "upload-sales-data", "inventory-review"],
# Review and completion
"setup-review": ["user_registered", "setup"],
@@ -277,20 +283,24 @@ class OnboardingService:
# SPECIAL VALIDATION FOR ML TRAINING STEP
if step_name == "ml-training":
# ML training requires AI-assisted path completion (only path available now)
ai_path_complete = user_progress_data.get("smart-inventory-setup", {}).get("completed", False)
# ML training requires AI-assisted path completion
# Check if upload-sales-data and inventory-review are completed
upload_complete = user_progress_data.get("upload-sales-data", {}).get("completed", False)
inventory_complete = user_progress_data.get("inventory-review", {}).get("completed", False)
if ai_path_complete:
if upload_complete and inventory_complete:
# Validate sales data was imported
smart_inventory_data = user_progress_data.get("smart-inventory-setup", {}).get("data", {})
sales_import_result = smart_inventory_data.get("salesImportResult", {})
has_sales_data_imported = (
sales_import_result.get("records_created", 0) > 0 or
sales_import_result.get("success", False) or
sales_import_result.get("imported", False)
upload_data = user_progress_data.get("upload-sales-data", {}).get("data", {})
inventory_data = user_progress_data.get("inventory-review", {}).get("data", {})
# Check if sales data was processed
has_sales_data = (
upload_data.get("validationResult", {}).get("is_valid", False) or
upload_data.get("aiSuggestions", []) or
inventory_data.get("inventoryItemsCreated", 0) > 0
)
if has_sales_data_imported:
if has_sales_data:
logger.info(f"ML training allowed for user {user_id}: AI path with sales data")
return True