refactor: Remove TEXT fields and use only reasoning_data for i18n

Completed the migration to structured reasoning_data for multilingual
dashboard support. Removed hardcoded TEXT fields (reasoning, consequence)
and updated all related code to use JSONB reasoning_data.

Changes:

1. Models Updated (removed TEXT fields):
   - PurchaseOrder: Removed reasoning, consequence TEXT columns
   - ProductionBatch: Removed reasoning TEXT column
   - Both now use only reasoning_data (JSONB/JSON)

2. Dashboard Service Updated:
   - Changed to return reasoning_data instead of TEXT fields
   - Creates default reasoning_data if missing
   - PO actions: reasoning_data with type and parameters
   - Production timeline: reasoning_data for each batch

3. Unified Schemas Updated (no separate migration):
   - services/procurement/migrations/001_unified_initial_schema.py
   - services/production/migrations/001_unified_initial_schema.py
   - Removed reasoning/consequence columns from table definitions
   - Updated comments to reflect i18n approach

Database Schema:
- purchase_orders: Only reasoning_data (JSONB)
- production_batches: Only reasoning_data (JSON)

Backend now generates:
{
  "type": "low_stock_detection",
  "parameters": {
    "supplier_name": "Harinas del Norte",
    "days_until_stockout": 3,
    ...
  },
  "consequence": {
    "type": "stockout_risk",
    "severity": "high"
  }
}

Next Steps:
- Frontend: Create i18n translation keys
- Frontend: Update components to translate reasoning_data
- Test multilingual support (ES, EN, CA)
This commit is contained in:
Claude
2025-11-07 18:20:05 +00:00
parent ddc4928d78
commit f74b8d5402
5 changed files with 75 additions and 34 deletions

View File

@@ -367,14 +367,23 @@ class DashboardService:
# Calculate urgency based on required delivery date
urgency = self._calculate_po_urgency(po)
# Get reasoning_data or create default
reasoning_data = po.get("reasoning_data") or {
"type": "low_stock_detection",
"parameters": {
"supplier_name": po.get('supplier_name', 'Unknown'),
"product_names": ["Items"],
"days_until_stockout": 7
}
}
actions.append({
"id": po["id"],
"type": ActionType.APPROVE_PO,
"urgency": urgency,
"title": f"Purchase Order {po.get('po_number', 'N/A')}",
"subtitle": f"Supplier: {po.get('supplier_name', 'Unknown')}",
"reasoning": po.get("reasoning") or "Low stock levels detected",
"consequence": po.get("consequence") or "Order needed to maintain inventory levels",
"reasoning_data": reasoning_data, # NEW: Structured data for i18n
"amount": po.get("total_amount", 0),
"currency": po.get("currency", "EUR"),
"actions": [
@@ -490,6 +499,16 @@ class DashboardService:
status_icon = ""
status_text = "PENDING"
# Get reasoning_data or create default
reasoning_data = batch.get("reasoning_data") or {
"type": "forecast_demand",
"parameters": {
"product_name": batch.get("product_name", "Product"),
"predicted_demand": batch.get("planned_quantity", 0),
"confidence_score": 85
}
}
timeline.append({
"id": batch["id"],
"batchNumber": batch.get("batch_number"),
@@ -505,7 +524,7 @@ class DashboardService:
"progress": progress,
"readyBy": planned_end.isoformat() if planned_end else None,
"priority": batch.get("priority", "MEDIUM"),
"reasoning": batch.get("reasoning") or "Based on demand forecast"
"reasoning_data": reasoning_data # NEW: Structured data for i18n
})
# Sort by planned start time

View File

@@ -119,17 +119,30 @@ class PurchaseOrder(Base):
internal_notes = Column(Text, nullable=True) # Not shared with supplier
terms_and_conditions = Column(Text, nullable=True)
# JTBD Dashboard: Reasoning and consequences for user transparency
# Deferred loading to prevent breaking queries when columns don't exist yet
reasoning = deferred(Column(Text, nullable=True)) # Why this PO was created (e.g., "Low flour stock (2 days left)")
consequence = deferred(Column(Text, nullable=True)) # What happens if not approved (e.g., "Stock out risk in 48 hours")
reasoning_data = deferred(Column(JSONB, nullable=True)) # Structured reasoning data
# reasoning_data structure: {
# "trigger": "low_stock" | "forecast_demand" | "manual",
# "ingredients_affected": [{"id": "uuid", "name": "Flour", "current_stock": 10, "days_remaining": 2}],
# "orders_impacted": [{"id": "uuid", "product": "Baguette", "quantity": 100}],
# "urgency_score": 0-100,
# "estimated_stock_out_date": "2025-11-10T00:00:00Z"
# JTBD Dashboard: Structured reasoning data for i18n support
# Backend stores structured data, frontend translates using i18n
reasoning_data = Column(JSONB, nullable=True) # Structured reasoning data for multilingual support
# reasoning_data structure (see shared/schemas/reasoning_types.py):
# {
# "type": "low_stock_detection" | "forecast_demand" | "safety_stock_replenishment" | etc.,
# "parameters": {
# "supplier_name": "Harinas del Norte",
# "product_names": ["Flour Type 55", "Flour Type 45"],
# "days_until_stockout": 3,
# "current_stock": 45.5,
# "required_stock": 200
# },
# "consequence": {
# "type": "stockout_risk",
# "severity": "high",
# "impact_days": 3,
# "affected_products": ["Baguette", "Croissant"]
# },
# "metadata": {
# "trigger_source": "orchestrator_auto",
# "forecast_confidence": 0.85,
# "ai_assisted": true
# }
# }
# Audit fields

View File

@@ -6,7 +6,7 @@ Create Date: 2025-11-07
Complete procurement service schema including:
- Procurement plans and requirements
- Purchase orders and items (with reasoning fields for JTBD dashboard)
- Purchase orders and items (with reasoning_data for i18n JTBD dashboard)
- Deliveries and delivery items
- Supplier invoices
- Replenishment planning
@@ -207,7 +207,7 @@ def upgrade() -> None:
# PURCHASE ORDER TABLES
# ========================================================================
# Create purchase_orders table (with JTBD dashboard reasoning fields)
# Create purchase_orders table (with reasoning_data for i18n)
op.create_table('purchase_orders',
sa.Column('id', postgresql.UUID(as_uuid=True), nullable=False),
sa.Column('tenant_id', postgresql.UUID(as_uuid=True), nullable=False),
@@ -242,9 +242,7 @@ def upgrade() -> None:
sa.Column('notes', sa.Text(), nullable=True),
sa.Column('internal_notes', sa.Text(), nullable=True),
sa.Column('terms_and_conditions', sa.Text(), nullable=True),
# JTBD Dashboard fields
sa.Column('reasoning', sa.Text(), nullable=True),
sa.Column('consequence', sa.Text(), nullable=True),
# JTBD Dashboard: Structured reasoning for i18n support
sa.Column('reasoning_data', postgresql.JSONB(astext_type=sa.Text()), nullable=True),
sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), onupdate=sa.text('now()'), nullable=False),

View File

@@ -133,16 +133,29 @@ class ProductionBatch(Base):
delay_reason = Column(String(255), nullable=True)
cancellation_reason = Column(String(255), nullable=True)
# JTBD Dashboard: Reasoning and context for user transparency
# Deferred loading to prevent breaking queries when columns don't exist yet
reasoning = deferred(Column(Text, nullable=True)) # Why this batch was scheduled (e.g., "Based on wedding order #1234")
reasoning_data = deferred(Column(JSON, nullable=True)) # Structured reasoning data
# reasoning_data structure: {
# "trigger": "forecast" | "order" | "inventory" | "manual",
# "forecast_id": "uuid",
# "orders_fulfilled": [{"id": "uuid", "customer": "Maria's Bakery", "quantity": 100}],
# "demand_score": 0-100,
# "scheduling_priority_reason": "High demand + VIP customer"
# JTBD Dashboard: Structured reasoning data for i18n support
# Backend stores structured data, frontend translates using i18n
reasoning_data = Column(JSON, nullable=True) # Structured reasoning data for multilingual support
# reasoning_data structure (see shared/schemas/reasoning_types.py):
# {
# "type": "forecast_demand" | "customer_order" | "stock_replenishment" | etc.,
# "parameters": {
# "product_name": "Croissant",
# "predicted_demand": 500,
# "current_stock": 120,
# "production_needed": 380,
# "confidence_score": 87
# },
# "urgency": {
# "level": "normal",
# "ready_by_time": "08:00",
# "customer_commitment": false
# },
# "metadata": {
# "trigger_source": "orchestrator_auto",
# "forecast_id": "uuid-here",
# "ai_assisted": true
# }
# }
# Timestamps
@@ -191,7 +204,6 @@ class ProductionBatch(Base):
"quality_notes": self.quality_notes,
"delay_reason": self.delay_reason,
"cancellation_reason": self.cancellation_reason,
"reasoning": self.reasoning,
"reasoning_data": self.reasoning_data,
"created_at": self.created_at.isoformat() if self.created_at else None,
"updated_at": self.updated_at.isoformat() if self.updated_at else None,

View File

@@ -5,7 +5,7 @@ Revises:
Create Date: 2025-11-07
Complete production service schema including:
- Production batches (with reasoning fields for JTBD dashboard and waste tracking)
- Production batches (with reasoning_data for i18n JTBD dashboard and waste tracking)
- Production schedules
- Production capacity
- Equipment
@@ -90,7 +90,7 @@ def upgrade() -> None:
)
op.create_index(op.f('ix_equipment_tenant_id'), 'equipment', ['tenant_id'], unique=False)
# Create production_batches table (with all fields including reasoning and waste tracking)
# Create production_batches table (with reasoning_data for i18n and waste tracking)
op.create_table('production_batches',
sa.Column('id', sa.UUID(), nullable=False),
sa.Column('tenant_id', sa.UUID(), nullable=False),
@@ -135,8 +135,7 @@ def upgrade() -> None:
sa.Column('quality_notes', sa.Text(), nullable=True),
sa.Column('delay_reason', sa.String(length=255), nullable=True),
sa.Column('cancellation_reason', sa.String(length=255), nullable=True),
# JTBD Dashboard fields (from 20251107 migration)
sa.Column('reasoning', sa.Text(), nullable=True),
# JTBD Dashboard: Structured reasoning for i18n support
sa.Column('reasoning_data', sa.JSON(), nullable=True),
sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=True),
sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=True),