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Merge pull request #13 from ualsweb/claude/jtbd-bakery-inventory-ui-011CUrU1eJcvQVUnNQZYh67L

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Claude/jtbd bakery inventory UI 011 c ur u1e jcv qv un nqz yh67 l
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ualsweb
2025-11-07 11:18:00 +01:00
committed by GitHub
parent 813e8866ef e2a326d90f
commit 547292c89e
92 changed files with 21202 additions and 588 deletions
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105
services/auth/app/api/onboarding_progress.py
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@@ -38,22 +38,66 @@ class UpdateStepRequest(BaseModel):
completed: bool
data: Optional[Dict[str, Any]] = None
# Define the onboarding steps and their order - matching frontend step IDs
# Define the onboarding steps and their order - matching frontend UnifiedOnboardingWizard step IDs
ONBOARDING_STEPS = [
"user_registered", # Auto-completed: User account created
"setup", # Step 1: Basic bakery setup and tenant creation
"smart-inventory-setup", # Step 2: Sales data upload and inventory configuration
"suppliers", # Step 3: Suppliers configuration (optional)
"ml-training", # Step 4: AI model training
"completion" # Step 5: Onboarding completed, ready to use dashboard
# Phase 0: System Steps
"user_registered", # Auto-completed: User account created
# Phase 1: Discovery
"bakery-type-selection", # Choose bakery type: production/retail/mixed
# 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
"initial-stock-entry", # Capture initial stock levels
# Phase 2b: Suppliers (shared by all paths)
"suppliers-setup", # Suppliers configuration
# Phase 3: Advanced Configuration (all optional)
"recipes-setup", # Production recipes (conditional: production/mixed bakery)
"production-processes", # Finishing processes (conditional: retail/mixed bakery)
"quality-setup", # Quality standards and templates
"team-setup", # Team members and permissions
# Phase 4: ML & Finalization
"ml-training", # AI model training
"setup-review", # Review all configuration
"completion" # Onboarding completed
]
# Step dependencies - defines which steps must be completed before others
# Steps not listed here have no dependencies (can be completed anytime after user_registered)
STEP_DEPENDENCIES = {
"setup": ["user_registered"],
# Discovery phase
"bakery-type-selection": ["user_registered"],
# 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"],
"suppliers": ["user_registered", "setup", "smart-inventory-setup"], # Optional step
"product-categorization": ["user_registered", "setup", "smart-inventory-setup"],
"initial-stock-entry": ["user_registered", "setup", "smart-inventory-setup", "product-categorization"],
# Suppliers (after AI inventory setup)
"suppliers-setup": ["user_registered", "setup", "smart-inventory-setup"],
# Advanced configuration (optional, minimal dependencies)
"recipes-setup": ["user_registered", "setup"],
"production-processes": ["user_registered", "setup"],
"quality-setup": ["user_registered", "setup"],
"team-setup": ["user_registered", "setup"],
# ML Training - requires AI path completion
"ml-training": ["user_registered", "setup", "smart-inventory-setup"],
"completion": ["user_registered", "setup", "smart-inventory-setup", "ml-training"]
# Review and completion
"setup-review": ["user_registered", "setup"],
"completion": ["user_registered", "setup"] # Minimal requirements for completion
}
class OnboardingService:
@@ -233,27 +277,26 @@ class OnboardingService:
# SPECIAL VALIDATION FOR ML TRAINING STEP
if step_name == "ml-training":
# Ensure that smart-inventory-setup was completed with sales data imported
smart_inventory_data = user_progress_data.get("smart-inventory-setup", {}).get("data", {})
# Check if sales data was imported successfully
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)
)
if not has_sales_data_imported:
logger.warning(f"ML training blocked for user {user_id}: No sales data imported",
extra={"sales_import_result": sales_import_result})
return False
# Also check if inventory is configured
inventory_configured = smart_inventory_data.get("inventoryConfigured", False)
if not inventory_configured:
logger.warning(f"ML training blocked for user {user_id}: Inventory not configured")
return False
# ML training requires AI-assisted path completion (only path available now)
ai_path_complete = user_progress_data.get("smart-inventory-setup", {}).get("completed", False)
if ai_path_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)
)
if has_sales_data_imported:
logger.info(f"ML training allowed for user {user_id}: AI path with sales data")
return True
# AI path not complete or no sales data
logger.warning(f"ML training blocked for user {user_id}: No inventory data from AI path")
return False
return True