Partner-sourced vs influenced revenue and lift

The exact vocabulary the automated check enforces: keys, tokens, entry points, and worked examples. Generated from the verification source.

{
 "constants": {},
 "entryName": "compute_partner_attribution",
 "expectNote": "expect is the comparison-space value (your return value goes through normalize first when one is published)",
 "hiddenCaseCount": 10,
 "hiddenCaseNames": [
  "dual_precedence_sourced",
  "dual_precedence_influenced",
  "empty_baseline",
  "div_by_zero_rest",
  "open_excluded_from_metrics",
  "missing_amount_zero",
  "days_ignore_null",
  "custom_stage_labels",
  "all_no_partner",
  "empty_dataset"
 ],
 "inputKeys": [
  "amount",
  "comparative_metrics",
  "days_to_close",
  "deals",
  "dual_tag_precedence",
  "lost_stages",
  "no_partner",
  "partner_influenced",
  "partner_role",
  "partner_sourced",
  "stage",
  "won_stages"
 ],
 "normalizeSource": "def _attr_normalize(r):\n    try:\n        counts = {k: int(v) for k, v in r[\"counts\"].items()}\n        rev = {k: round(float(v), 2) for k, v in r[\"revenue_won\"].items()}\n        comp = {}\n        for m, o in r[\"comparative\"].items():\n            comp[m] = {\"partner\": (None if o.get(\"partner\") is None else round(float(o[\"partner\"]), 4)),\n                       \"rest\": (None if o.get(\"rest\") is None else round(float(o[\"rest\"]), 4)),\n                       \"lift_pct\": (None if o.get(\"lift_pct\") is None else round(float(o[\"lift_pct\"]), 2))}\n        return {\"counts\": counts, \"revenue_won\": rev, \"comparative\": comp}\n    except Exception:\n        return repr(r)\n",
 "returnShapes": [
  [
   "comparative",
   "counts",
   "revenue_won"
  ]
 ],
 "signature": "def compute_partner_attribution(inp):",
 "submission": "python exposing the entry function; inp is one input object; graded on held-out cases",
 "tier": "calculator",
 "visibleCases": [
  {
   "expect": {
    "comparative": {
     "avg_days_to_close": {
      "lift_pct": -62.5,
      "partner": 15,
      "rest": 40
     },
     "avg_deal_size": {
      "lift_pct": 200,
      "partner": 1500,
      "rest": 500
     },
     "close_rate": {
      "lift_pct": 33.33,
      "partner": 0.6667,
      "rest": 0.5
     }
    },
    "counts": {
     "grand_total": 5,
     "no_partner": 2,
     "partner_influenced": 1,
     "partner_sourced": 2,
     "partner_total": 3,
     "rest_total": 2
    },
    "revenue_won": {
     "no_partner": 500,
     "partner_influenced": 2000,
     "partner_sourced": 1000,
     "partner_total": 3000,
     "rest_total": 500
    }
   },
   "input": {
    "comparative_metrics": [
     "close_rate",
     "avg_deal_size",
     "avg_days_to_close"
    ],
    "deals": [
     {
      "amount": 1000,
      "days_to_close": 10,
      "partner_role": "sourced",
      "stage": "won"
     },
     {
      "amount": 2000,
      "days_to_close": 20,
      "partner_role": "influenced",
      "stage": "won"
     },
     {
      "amount": 500,
      "days_to_close": 40,
      "partner_role": "none",
      "stage": "won"
     },
     {
      "amount": 0,
      "days_to_close": null,
      "partner_role": "none",
      "stage": "lost"
     },
     {
      "amount": 0,
      "days_to_close": null,
      "partner_role": "sourced",
      "stage": "lost"
     }
    ],
    "dual_tag_precedence": "sourced",
    "lost_stages": [
     "lost"
    ],
    "won_stages": [
     "won"
    ]
   },
   "name": "mixed_basic"
  }
 ],
 "vocabulary": [
  "amount",
  "avg_days_to_close",
  "avg_deal_size",
  "close_rate",
  "comparative",
  "comparative_metrics",
  "counts",
  "days_to_close",
  "deals",
  "dual_tag_precedence",
  "grand_total",
  "influenced",
  "lift_pct",
  "lost",
  "lost_stages",
  "no_partner",
  "partner",
  "partner_influenced",
  "partner_role",
  "partner_sourced",
  "partner_total",
  "rest",
  "rest_total",
  "revenue_won",
  "sourced",
  "stage",
  "won",
  "won_stages"
 ]
}