generated from coulomb/repo-seed
tegwick
0a38def5a5
Add file-based Bubble, Stripe, and OpenRouter importers; usage attribution, cost allocation, pricing simulator, credit wallets, and recommendations in the dashboard API. Document whynot-design UI workflow and archive the finished workplan with all ten tasks marked done.
68 lines
2.8 KiB
Python
68 lines
2.8 KiB
Python
from __future__ import annotations
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from decimal import Decimal
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def build_pricing_recommendations(
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cost_floor: dict,
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value_range: dict,
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market_price: dict,
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simulations: dict,
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usage_summary: dict,
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) -> list[dict]:
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recommendations: list[dict] = []
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margin_pct = Decimal(str(cost_floor.get("gross_margin_pct", "0")))
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ai_spend = Decimal(str(usage_summary.get("total_ai_spend_eur", "0")))
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active_price = Decimal(str(value_range.get("current_price_eur", "0")))
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cost_per_member = Decimal(str(cost_floor.get("cost_per_member", "0")))
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if margin_pct < Decimal("10"):
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recommendations.append(
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{
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"id": "margin-pressure",
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"priority": "high",
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"title": "Margin below 10%",
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"rationale": f"Gross margin is {margin_pct}% at current pricing.",
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"suggested_action": "Review infrastructure cost or test a higher access fee within value-range bands.",
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}
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)
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if ai_spend > Decimal("0") and cost_per_member > Decimal("0"):
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ai_ratio = (ai_spend / cost_per_member) * Decimal("100")
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if ai_ratio > Decimal("15"):
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best = simulations.get("best_margin_scenario_id")
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recommendations.append(
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{
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"id": "usage-pricing-signal",
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"priority": "medium",
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"title": "AI cost becoming material",
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"rationale": f"AI spend is {ai_ratio:.1f}% of cost-per-member this period.",
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"suggested_action": f"Evaluate hybrid model '{best}' in the pricing simulator before customer-visible credits.",
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}
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)
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if market_price.get("market_high_eur") and active_price < Decimal(str(market_price["market_high_eur"])):
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headroom = Decimal(str(value_range.get("aggregate_high_eur", active_price))) - active_price
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if headroom > Decimal("5"):
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recommendations.append(
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{
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"id": "value-headroom",
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"priority": "low",
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"title": "Value headroom above list price",
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"rationale": f"Aggregate value band high is €{value_range['aggregate_high_eur']} vs €{active_price} list.",
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"suggested_action": "Run a staged price experiment within the solo-builder segment band.",
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}
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)
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if not recommendations:
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recommendations.append(
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{
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"id": "hold-course",
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"priority": "low",
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"title": "Hold current pricing",
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"rationale": "No urgent margin, usage, or competitive signals detected.",
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"suggested_action": "Continue observatory tracking; re-run after next ledger period.",
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}
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)
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return recommendations |