Jesse_Chen
bab0718700
Web export now calls the same full pack as the long skill report and caches an owner-only Markdown download. Appendix failure stays unavailable and does not change the main report status. Co-authored-by: Cursor <cursoragent@cursor.com>
344 lines
13 KiB
Python
Executable File
344 lines
13 KiB
Python
Executable File
from __future__ import annotations
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from scripts.full_report_quality_gate import evaluate_full_report
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from scripts.jyotish_engine import render_pl9_markdown
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def _complete_markdown() -> str:
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return "\n".join(
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[
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"# 个人印度占星报告",
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"## 摘要",
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"### 基础资料表",
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"#### Birth Particulars / Calculation Details",
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"#### 出生 Panchanga（本地计算）",
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"#### D1 — Rashi Chart（本命盘）",
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"### Vargas I",
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"#### D1–D60 完整原始分盘账本（20 传统 + 40 研究型 D-N）",
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"### 本命主轴",
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"### 2026 年度重点",
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"#### 年度专题证据状态",
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"### 力量、Ashtakavarga 与功能性吉凶",
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"#### 功能性吉凶与 Yogakaraka",
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"#### Bhava Lagna",
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"#### Hora Lagna",
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"#### Ghati Lagna",
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"#### ViGhati Lagna",
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"#### Sree Lagna",
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"#### Indu Lagna",
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"本章已调用依据：D2（Hora 财富分盘）、D11（Rudramsa 收益分盘）。",
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"### 大运与时间主线",
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"#### KP 三年流月支持",
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"### 2026 KP 月度支持",
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"### 2027 KP 月度支持",
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"### 2028 KP 月度支持",
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"#### KP 使用边界",
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"#### Patyayini Dasha",
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"#### Narayana Rashi Dasha",
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"### 专业支持专题：第二证据轴",
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"#### 辅助大运族：Yogini / Ashtottari / Kala Chakra",
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"#### 本命补充因子：Sahams / Avasthas / Upagrahas",
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"#### 未闭环专业层：可见但不入判断",
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"### 事业与外部发展",
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"### 财运与资源使用",
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"### 关系与合作模式",
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"## Blocked / Audit Appendix",
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"## Audit Appendix",
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]
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)
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def _complete_packet() -> dict:
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return {
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"schema": "pl9_style_professional_export_v1",
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"calculation_profile_id": "profile-1993",
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"calculation_profile": {
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"profile_id": "profile-1993",
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"profile_version": "1.0",
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"algorithm": "sidereal_natal_chart",
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"ayanamsa": "lahiri",
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"node_mode": "mean",
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"input_hash": "input-hash",
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"engine": {"ephemeris_provider": "local"},
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},
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"result_hash": "result-hash",
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"result_binding": {
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"input_hash": "input-hash",
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"result_hash": "result-hash",
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},
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"chart_identity": {
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"chart_profile_id": "profile-1993",
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"birth_data_status": "user_provided",
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"rectification_status": "not_reviewed",
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"approval_status": "not_approved",
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},
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"full_report_pack": {
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"schema": "pl9.full_report_pack.v1",
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"sections": {
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key: {"status": "verified"}
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for key in (
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"base",
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"strength",
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"dasha",
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"annual",
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"transit",
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"professional_support",
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"audit_appendix",
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)
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} | {
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"d1_d60_ledger": {
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"status": "available",
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"d1_to_d60": {f"D{number}": {"raw": {}} for number in range(1, 61)},
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"summary": {
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"formal_traditional_division_count": 20,
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"research_generic_dn_division_count": 40,
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},
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}
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},
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},
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"worksheets": {
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"divisional_and_special_charts": {
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"special_lagnas": {
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"Bhava_Lagna": {"sign": "Aries"},
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"Hora_Lagna": {"sign": "Aries"},
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"Ghati_Lagna": {"sign": "Aries"},
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"ViGhati_Lagna": {"sign": "Aries"},
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"Sree_Lagna": {"sign": "Aries"},
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"Indu_Lagna": {"sign": "Aries"},
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},
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"varga_full": {
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"D2_Hora": {"Ascendant": {"sign": "Aries"}},
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"D11_Rudramsa": {"Ascendant": {"sign": "Taurus"}},
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},
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},
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"strengths_and_scores": {
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"functional_benefic_malefic": {"status": "used"},
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},
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"timing_and_predictive_systems": {
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"narayana_dasha": {"status": "executed"},
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"annual_tajika_pack": {
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"patyayini": {"status": "executed"},
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"external_engine_comparison": {
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"pyjhora": {
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"patyayini_dasha": {
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"status": "partial_verified",
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"normalized_rows": [{"order": 1}],
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}
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}
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},
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"audit": {"technique_audit": [{"technique": "Annual", "status": "partial_verified"}]},
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"report_sections": {"evidence_appendix": {"status": "partial_verified"}},
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},
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"dasha_master_pack": {
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"families": {"yogini": {"periods": [{"lord": "Sun"}]}}
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},
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},
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"advanced_systems": {
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"sahams": {"Punya": {"sign": "Aries"}},
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"kp_monthly_report": {
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"maturity_profile": {"claim_status": "observation_only_truth_blocked"},
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"must_not_claim": ["exact_event_timing"],
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},
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},
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},
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}
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def test_complete_packet_returns_passed_with_traceable_professional_coverage() -> None:
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result = evaluate_full_report(_complete_packet(), _complete_markdown())
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assert result["schema_version"] == "jyotish.full_report_quality_gate.v1"
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assert result["status"] == "passed"
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assert result["professional_coverage_manifest"]
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assert {
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"material_id",
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"source_reference",
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"admission_tier",
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"report_role",
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"surface_location",
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"status",
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"limitation_reference",
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}.issubset(result["professional_coverage_manifest"][0])
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assert not result["blocking_reasons"]
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assert {
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item["material_id"]: item["surface_location"]
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for item in result["professional_coverage_manifest"]
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}["special_lagnas"] == "professional_support_cross_reference"
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def test_missing_provenance_blocks_full_report() -> None:
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packet = _complete_packet()
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packet.pop("result_hash")
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result = evaluate_full_report(packet, _complete_markdown())
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assert result["status"] == "blocked"
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assert "provenance_missing:result_hash" in result["blocking_reasons"]
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def test_missing_chart_identity_blocks_full_report() -> None:
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packet = _complete_packet()
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packet.pop("chart_identity")
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result = evaluate_full_report(packet, _complete_markdown())
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assert result["status"] == "blocked"
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assert "chart_identity_missing:chart_profile_id" in result["blocking_reasons"]
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def test_invalid_result_binding_blocks_full_report() -> None:
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packet = _complete_packet()
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packet["result_binding"]["result_hash"] = "other-result"
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result = evaluate_full_report(packet, _complete_markdown())
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assert result["status"] == "blocked"
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assert "provenance_lineage_binding_invalid" in result["blocking_reasons"]
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def test_missing_or_incomplete_d1_d60_ledger_blocks_full_report() -> None:
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packet = _complete_packet()
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packet["full_report_pack"]["sections"].pop("d1_d60_ledger")
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missing = evaluate_full_report(packet, _complete_markdown())
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assert missing["status"] == "blocked"
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assert "required_pack_section_missing:d1_d60_ledger" in missing["blocking_reasons"]
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packet = _complete_packet()
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packet["full_report_pack"]["sections"]["d1_d60_ledger"]["d1_to_d60"].pop("D60")
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incomplete = evaluate_full_report(packet, _complete_markdown())
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assert incomplete["status"] == "blocked"
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assert "d1_d60_ledger_incomplete" in incomplete["blocking_reasons"]
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def test_executed_required_support_missing_from_rendering_requires_review() -> None:
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markdown = _complete_markdown().replace("#### Hora Lagna\n", "")
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result = evaluate_full_report(_complete_packet(), markdown)
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assert result["status"] == "review_required"
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assert "special_lagna_not_rendered:Hora_Lagna" in result["review_reasons"]
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def test_generated_d11_gains_chart_missing_from_rendering_requires_review() -> None:
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markdown = _complete_markdown().replace("D11（Rudramsa 收益分盘）", "收益分盘已省略")
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result = evaluate_full_report(_complete_packet(), markdown)
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assert result["status"] == "review_required"
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assert "required_support_not_rendered:wealth_d11_gains_chart" in result["review_reasons"]
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def test_missing_professional_support_section_requires_review() -> None:
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markdown = _complete_markdown().replace("### 专业支持专题：第二证据轴\n", "")
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result = evaluate_full_report(_complete_packet(), markdown)
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assert result["status"] == "review_required"
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assert "reader_section_missing:professional_support" in result["review_reasons"]
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def test_missing_restricted_materials_register_requires_review() -> None:
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markdown = _complete_markdown().replace("#### 未闭环专业层：可见但不入判断\n", "")
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result = evaluate_full_report(_complete_packet(), markdown)
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assert result["status"] == "review_required"
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assert "reader_section_missing:restricted_materials" in result["review_reasons"]
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def test_missing_one_kp_year_requires_review() -> None:
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markdown = _complete_markdown().replace("### 2028 KP 月度支持\n", "")
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result = evaluate_full_report(_complete_packet(), markdown)
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assert result["status"] == "review_required"
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assert "three_year_kp_monthly_incomplete" in result["review_reasons"]
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def test_missing_special_lagna_value_requires_review() -> None:
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packet = _complete_packet()
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packet["worksheets"]["divisional_and_special_charts"]["special_lagnas"].pop("Sree_Lagna")
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result = evaluate_full_report(packet, _complete_markdown())
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assert result["status"] == "review_required"
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assert "special_lagna_missing:Sree_Lagna" in result["review_reasons"]
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def test_empty_d11_structure_blocks_full_report() -> None:
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packet = _complete_packet()
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packet["worksheets"]["divisional_and_special_charts"]["varga_full"]["D11_Rudramsa"] = {}
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result = evaluate_full_report(packet, _complete_markdown())
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assert result["status"] == "blocked"
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assert "wealth_varga_structure_missing:D11" in result["blocking_reasons"]
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def test_missing_kp_boundary_status_requires_review() -> None:
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packet = _complete_packet()
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packet["worksheets"]["advanced_systems"]["kp_monthly_report"].pop("must_not_claim")
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result = evaluate_full_report(packet, _complete_markdown())
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assert result["status"] == "review_required"
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assert "kp_evidence_status_missing" in result["review_reasons"]
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def test_executed_auxiliary_support_missing_from_rendering_requires_review() -> None:
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markdown = _complete_markdown().replace("#### 辅助大运族：Yogini / Ashtottari / Kala Chakra\n", "")
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result = evaluate_full_report(_complete_packet(), markdown)
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assert result["status"] == "review_required"
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assert "required_support_not_rendered:auxiliary_dasha_support" in result["review_reasons"]
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def test_restricted_material_cannot_be_promoted_as_confirmed() -> None:
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packet = _complete_packet()
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packet["professional_coverage_overrides"] = {
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"tajika_named_yoga": {"status": "confirmed"},
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}
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result = evaluate_full_report(packet, _complete_markdown())
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assert result["status"] == "blocked"
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assert "restricted_material_promoted:tajika_named_yoga" in result["blocking_reasons"]
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def test_missing_patyayini_normalized_rows_requires_review() -> None:
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packet = _complete_packet()
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packet["worksheets"]["timing_and_predictive_systems"]["annual_tajika_pack"]["external_engine_comparison"][
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"pyjhora"
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]["patyayini_dasha"]["normalized_rows"] = []
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result = evaluate_full_report(packet, _complete_markdown())
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assert result["status"] == "review_required"
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assert "patyayini_normalized_rows_missing" in result["review_reasons"]
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def test_quality_gate_reads_product_markdown_markers() -> None:
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result = evaluate_full_report(_complete_packet(), "\n".join([
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"# 个人印度占星报告",
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"## 成品阅读导航",
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"### 基础资料表",
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"#### Birth Particulars / Calculation Details",
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"#### D1 — Rashi Chart（本命盘）",
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"### Vargas I",
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"#### D1–D60 完整原始分盘账本（20 传统 + 40 研究型 D-N）",
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"### 大运与时间主线",
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"#### KP 三年流月支持",
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"### 2026 年度重点",
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"### 专业支持专题：第二证据轴",
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"#### 未闭环专业层：可见但不入判断",
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"## Blocked / Audit Appendix",
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"## Audit Appendix",
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]))
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markdown = render_pl9_markdown(_complete_packet())
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assert "# 个人印度占星报告" in markdown
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assert "## 成品阅读导航" in markdown
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assert result["schema_version"] == "jyotish.full_report_quality_gate.v1"
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assert "rendered_markdown_not_supplied" not in result["warning_reasons"]
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