Auto-derive finance promise strength
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# Wealth Adjudicator Third-Pass Audit (2026-06-27)
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> 目标：把 `wealth_promise_strength` 从“手工喂入的测试字段”推进到“可由仓内真源自动折叠”的真实裁决输入。
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---
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## 1. 本轮完成了什么
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本轮没有新增财富标签，也没有继续扩 promise 来源。
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只完成了一件关键工作：
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**让 `strict_workflow -> _collect_strict_evidence("finance")` 能从**
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- `full-reading.modules.yogas_doshas.dhana_yogas`
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**自动折叠出**
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- `wealth_promise_strength`
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当前折叠规则非常克制：
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- 至少一条 `strong` Dhana Yoga -> `level = strong`
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- 否则至少一条 `moderate` Dhana Yoga -> `level = moderate`
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- 否则 -> `weak`
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- 没有 `dhana_yogas` -> `None`
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并产出结构：
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```json
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{
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"level": "strong",
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"source": "dhana_yogas",
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"count": 2
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}
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```
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---
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## 2. 为什么这一步值钱
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前两轮虽然已经把财富裁决器推进到：
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- `public_wealth_status` 行为护栏
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- `income_growth` vs `public_wealth_status` 分流
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- `wealth_promise_strength` 显式入分
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但那时还有一个明显的工程短板：
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> `wealth_promise_strength` 还是手工喂进去的，不是真正来自 skill 自己的知识资产。
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本轮之后，这个短板第一次被抹平了一部分。
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也就是说，财富裁决器已经开始从仓内现成的财富真源里，自己长出 promise 分。
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---
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## 3. 回归结果
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### 3.1 自动 promise 折叠验证
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使用含有：
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- `D2`
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- `D10`
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- `Shadbala`
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- `Ashtakavarga`
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- `Vimshottari + Narayana`
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- `wealth/gains/career convergence`
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- `dhana_yogas = [strong, moderate]`
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的 finance strict evidence 场景，当前返回：
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- `present_evidence.wealth_promise_strength = {"level":"strong","source":"dhana_yogas","count":2}`
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- `event_judgement.score = 100`
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- `event_judgement.verdict = moderate_probability_window`
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- `event_judgement.payout_label = public_wealth_status`
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### 3.2 这里最重要的不是满分，而是“满分仍被压在 moderate”
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这个现象其实是好的，而不是坏的。
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它说明当前财富裁决器的边界依旧保持保守：
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- 即便完整证据场景把分数顶满
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- 也不会因为 finance score 很高就直接升级到过满承诺
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这和项目当前的真实边界是一致的：
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> 我们在提升财富裁决器的结构成熟度，
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> 但还没有宣布“精确财富应期已全球封顶”。
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---
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## 4. 当前状态相较前两轮的提升
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### 第一轮
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- 加护栏
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- 堵住弱窗口乱贴 `public_wealth_status`
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### 第二轮
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- `wealth_promise_strength` 显式入分
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- `income_growth` 与 `public_wealth_status` 开始分家
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### 第三轮（本轮）
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- `wealth_promise_strength` 不再只是手工输入
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- 它开始从仓里的 `dhana_yogas` 自动生成
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所以本轮的本质是：
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> 财富 adjudicator 从“能接收 promise 分”进一步走到了“能自己从真源提 promise 分”。
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---
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## 5. 仍未完成的部分
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这轮虽然很值钱，但还没有到终局：
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1. `wealth_promise_strength` 目前只吸收了 `dhana_yogas`
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2. `lakshmi_dhana_activation_chain` 还没有自动接入
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3. `yogi_asc_tight_orb_wealth` 还没有自动接入
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4. `asset_accumulation` vs `public_wealth_status` 还没有专门回归样本
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5. `dominant label + secondary context` 还没建立
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---
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## 6. 下一轮最值钱的动作
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如果继续按 ROI 排序，下一轮最值钱的是：
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1. 把 `lakshmi_dhana_activation_chain` 接成第二个自动 promise hook
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2. 把 `yogi_asc_tight_orb_wealth` 接成第三个自动 promise hook
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3. 然后再看是否需要从单标签走向：
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- `dominant label`
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- `secondary context`
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这样我们就能处理你前面提到的下一类样本：
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- 收益爆发很强
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- 同时公众事业可见度也不低
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而不是只能二选一硬切。
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---
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## 7. 本轮状态判断
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本轮可以诚实宣称：
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- 财富 adjudicator 已经开始自动吸收仓内 `Dhana Yoga` 真源
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- `wealth_promise_strength` 已从手工测试输入升级为自动折叠输入
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- 当前保守边界仍在，没有因为自动 promise 折叠就开始乱给高承诺
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但还不能宣称：
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- 全部财富 promise 资产已自动闭环
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- `Lakshmi / Yogi / Dhana` 三路来源都已折叠完成
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更准确的说法是：
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> 财富 adjudicator 已进入“自动 promise 折叠”的第三阶段，
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> 现在不再只是规则聚合器，而开始真正从 skill 自己的财富知识资产中抽取裁决分数。
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@@ -108,6 +108,32 @@ def _convergence_score(convergence: Any) -> int:
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return mapping.get(level, 0)
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def _derive_wealth_promise_strength(modules: Dict[str, Any]) -> Optional[Dict[str, Any]]:
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yogas_doshas = modules.get("yogas_doshas") if isinstance(modules, dict) else {}
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dhana = yogas_doshas.get("dhana_yogas") if isinstance(yogas_doshas, dict) else {}
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yogas = dhana.get("yogas") if isinstance(dhana, dict) else None
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if not isinstance(yogas, list) or not yogas:
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return None
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strengths = [
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str(row.get("strength", "")).lower()
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for row in yogas
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if isinstance(row, dict)
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]
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if any(level == "strong" for level in strengths):
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level = "strong"
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elif any(level == "moderate" for level in strengths):
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level = "moderate"
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else:
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level = "weak"
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return {
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"level": level,
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"source": "dhana_yogas",
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"count": len(yogas),
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}
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def _derive_event_judgement(route: str, present: Dict[str, Any], missing: List[str]) -> Dict[str, Any]:
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if route == "relationship":
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score = 0
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@@ -290,6 +316,7 @@ def _collect_strict_evidence(route: str, result: Dict[str, Any]) -> Dict[str, An
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"wealth_convergence": domain_activations.get("wealth_family"),
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"gains_convergence": domain_activations.get("gains_wishes"),
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"career_convergence": domain_activations.get("career_status"),
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"wealth_promise_strength": _derive_wealth_promise_strength(modules),
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}
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missing = [key for key, value in present.items() if key not in {
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"gains_convergence", "career_convergence"
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@@ -3,7 +3,7 @@
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from __future__ import annotations
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from mcp_server import _derive_event_judgement
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from mcp_server import _collect_strict_evidence, _derive_event_judgement
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def test_finance_public_wealth_label_requires_at_least_moderate_window() -> None:
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@@ -80,3 +80,42 @@ def test_finance_strong_wealth_promise_can_unlock_public_wealth_status() -> None
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assert judgement["score"] == 60
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assert judgement["verdict"] == "moderate_probability_window"
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assert judgement["payout_label"] == "public_wealth_status"
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def test_collect_strict_evidence_finance_derives_wealth_promise_from_dhana_yogas() -> None:
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result = {
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"modules": {
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"varga_full": {"D2_Hora": {"summary": "ok"}, "D10_Dasamsa": {"summary": "ok"}},
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"shadbala": {"planets": {"Venus": {"total_rupa": 8.2}}},
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"ashtakavarga": {"house_scores": {"2": 31, "11": 36}},
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"dasha": {"current_dasha": {"mahadasha": "Venus", "antardasha": "Mercury"}},
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"narayana_dasha": {"current_dasha": {"sign": "Taurus", "lord": "Venus"}},
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"dasa_convergence": {
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"domain_activations": {
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"wealth_family": {"convergence_level": "L1", "probability": "+15-20%"},
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"gains_wishes": {"convergence_level": "L1", "probability": "+15-20%"},
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"career_status": {"convergence_level": "L1", "probability": "+15-20%"},
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}
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},
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"yogas_doshas": {
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"dhana_yogas": {
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"yogas": [
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{"type": "Dhana Yoga", "strength": "strong"},
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{"type": "Dhana Yoga", "strength": "moderate"},
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],
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"summary": "Dhana Yoga检测：共2个格局",
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}
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},
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}
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}
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strict = _collect_strict_evidence("finance", result)
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present = strict["present_evidence"]
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assert present["wealth_promise_strength"] == {
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"level": "strong",
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"source": "dhana_yogas",
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"count": 2,
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}
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assert strict["event_judgement"]["score"] == 100
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assert strict["event_judgement"]["verdict"] == "moderate_probability_window"
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assert strict["event_judgement"]["payout_label"] == "public_wealth_status"
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