feat: Implement Real-time Spectral Grading & Dynamic Supply Pricing (…#1610
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Technical Implementation Summary
backend/models/processing.py
)
SpectralScanData
: Stores high-resolution chemical analysis data (Protein, Brix, Moisture, Fiber) simulated from optical hardware scans.
DynamicGradeAdjustment
: Acts as an audit trail for the autonomous lifecycle, logging whenever a batch grade is changed and the resulting financial penalty factor.
2. Pricing & Contract Expansion
BulkOrder
(
backend/models/procurement.py
): Added real_time_price_modifier which serves as a multiplier for the unit_price, allowing quality-based discounts to be applied instantly.
ForwardContract
(
backend/models/market.py
): Added quality_penalty_clause to track the percentage deduction from final payouts if the harvest quality underperforms.
3. Autonomous Grading Engine (
backend/services/grading_engine.py
)
Implemented Cascading Financial Recalculation (L3):
When a spectral scan is ingested, the engine automatically calculates a letter grade (A, B, or C).
If a grade drop occurs, the engine autonomously updates all linked
ForwardContract
payouts,
BulkOrder
final totals, and
SupplyBatch
grades without any manual user approval.
It also dynamically adjusts the
ResourceValueIndex
on the barter exchange, lowering the "Trade Power" of specific crop types if regional quality is trending downwards.
4. End-of-Day Pricing Tasks (
backend/tasks/pricing_tasks.py
)
Created a Celery task that runs daily to reconcile all quality-based pricing drifts and calculate the cumulative financial flux across the system.
5. API Blueprints (
backend/api/v1/processing.py
)
Created POST /batches//spectral-scan: Ingests raw scan data and triggers the cascading update sequence.
Created GET /batches//valuation: Returns the current market value of a batch after quality modifiers have been applied.
🚀 closes #1604