Jesse_Chen
186 lines
7.2 KiB
Python
186 lines
7.2 KiB
Python
#!/usr/bin/env python3
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"""Contracts for the next interpretation-source pipeline stage."""
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from __future__ import annotations
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import json
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import subprocess
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import sys
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from pathlib import Path
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from mcp_server import _collect_strict_evidence, _existing_interpretation_source_pack
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ROOT = Path(__file__).resolve().parents[1]
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DASHA_TIMING = [
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"references/vimshottari_dasha_guide.md",
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"references/pratyantar-calculation-guide.md",
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"references/condition-dasha-complete.md",
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]
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VARGA_STRENGTH = [
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"references/divisional-chart-deep-reading.md",
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"references/shadbala-complete-methodology.md",
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"references/ashtakavarga-complete-system.md",
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]
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ANNUAL_SPECIAL = [
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"references/tajika-yoga-complete-guide.md",
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"references/jaimini-complete-system.md",
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"references/kp-astrology-complete-system.md",
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]
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MODIFIER_OBSTACLE = [
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"references/argala-complete-guide.md",
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"references/badhaka-obstacle-planet-guide.md",
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]
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def _base_modules() -> dict:
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return {
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"modules": {
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"chart": {
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"ascendant": {"sign": "Leo"},
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"planets": {
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"Sun": {"status": "中性(Neutral)"},
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"Moon": {"status": "中性(Neutral)"},
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"Mercury": {"status": "中性(Neutral)"},
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"Venus": {"status": "中性(Neutral)"},
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"Jupiter": {"status": "中性(Neutral)"},
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"Saturn": {"status": "中性(Neutral)"},
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},
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},
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"varga_full": {
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"D10_Dasamsa": {"summary": "career varga present"},
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"D9_Navamsha": {"summary": "relationship varga present"},
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"D2_Hora": {"summary": "wealth varga present"},
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"D11_Rudramsha": {"summary": "gains varga present"},
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},
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"special_lagnas": {
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"A10_Karma_Pada": {"sign": "Capricorn", "lord": "Saturn"},
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"Upapada_Lagna": {"sign": "Libra", "lord": "Venus"},
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},
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"jaimini": {
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"karakas": {
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"Amatyakaraka": {"planet": "Mercury"},
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"Atmakaraka": {"planet": "Sun"},
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"Darakaraka": {"planet": "Venus"},
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},
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"karakamsha": {"karakamsha_sign": "Leo", "karakamsha_lord": "Sun"},
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},
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"dasha": {"current_dasha": {"mahadasha": "Mercury", "antardasha": "Sun"}},
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"narayana_dasha": {
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"current_dasha": {
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"md": {"sign": "Capricorn", "lord": "Saturn"},
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"ad": {"sign": "Aquarius", "lord": "Saturn"},
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"pd": {"sign": "Pisces", "lord": "Jupiter"},
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}
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},
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"dasa_convergence": {
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"domain_activations": {
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"career_status": {"convergence_level": "L2", "probability": "35-50%"},
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"marriage_relationship": {"convergence_level": "L2", "probability": "35-50%"},
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"wealth_income": {"convergence_level": "L2", "probability": "35-50%"},
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}
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},
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}
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}
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def _run_engine(*args: str) -> dict:
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completed = subprocess.run(
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[sys.executable, "scripts/jyotish_engine.py", *args],
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cwd=ROOT,
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check=False,
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text=True,
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capture_output=True,
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timeout=180,
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)
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assert completed.returncode == 0, completed.stderr[-2000:] or completed.stdout[-2000:]
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return json.loads(completed.stdout)
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def test_promote_batch2_is_split_into_domain_invocation_layers() -> None:
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source_pack = _existing_interpretation_source_pack()
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domain_layers = source_pack["domain_invocation_layers"]
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assert domain_layers["dasha_timing"]["source_refs"] == DASHA_TIMING
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assert domain_layers["varga_strength"]["source_refs"] == VARGA_STRENGTH
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assert domain_layers["annual_special"]["source_refs"] == ANNUAL_SPECIAL
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assert domain_layers["modifier_obstacle"]["source_refs"] == MODIFIER_OBSTACLE
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assert domain_layers["dasha_timing"]["required_in_routes"] == ["career", "relationship", "finance"]
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assert domain_layers["varga_strength"]["required_in_routes"] == ["career", "relationship", "finance"]
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for route in ["career", "relationship", "finance"]:
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strict = _collect_strict_evidence(route, _base_modules())
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invocation = strict["domain_invocation_contract"]
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assert invocation["dasha_timing"]["source_refs"] == DASHA_TIMING
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assert invocation["varga_strength"]["source_refs"] == VARGA_STRENGTH
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assert invocation["annual_special"]["source_refs"] == ANNUAL_SPECIAL
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assert invocation["modifier_obstacle"]["source_refs"] == MODIFIER_OBSTACLE
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def test_output_template_mevg_case_and_technical_debt_contracts_are_present() -> None:
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strict = _collect_strict_evidence("career", _base_modules())
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template = strict["output_template_contract"]
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assert template["required_sections"] == ["promise", "activation", "manifestation", "label", "confidence_boundary"]
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assert template["language"] == "zh"
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assert template["golden_test_status"] == "required"
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mevg_queue = strict["mevg_collection_queue"]
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assert mevg_queue["status"] == "queued"
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assert mevg_queue["trigger"] == "fortune_question_strict_workflow"
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assert "global_web_evidence" in mevg_queue["required_jobs"]
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assert "source_grading" in mevg_queue["required_jobs"]
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assert "conflict_arbitration" in mevg_queue["required_jobs"]
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case_layer = strict["real_case_calibration_layer"]
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assert case_layer["status"] == "queued"
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assert case_layer["domain_buckets"] == ["career", "finance", "relationship", "health", "rectification", "timing"]
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assert case_layer["source_roots"] == ["references/real_case_studies", "docs/benchmark"]
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debt = strict["technical_debt_contract"]
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assert debt["narayana"]["status"] == "partial"
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assert "antardasha_pratyantar_oracle_parity" in debt["narayana"]["open_items"]
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assert debt["tajika"]["status"] == "partial"
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assert "solar_return_precision" in debt["tajika"]["open_items"]
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assert "muntha_placeholder_audit" in debt["tajika"]["open_items"]
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def test_prompt_pack_frontend_and_remaining_batch_queue_expose_next_stage_contracts() -> None:
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result = _run_engine(
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"full-reading",
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"--year",
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"1955",
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"--month",
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"2",
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"--day",
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"24",
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"--hour",
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"19",
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"--minute",
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"15",
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"--lat",
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"37.7749",
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"--lon",
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"-122.4194",
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"--tz",
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"8",
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"--today",
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"2026-07-02",
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"--transit-date",
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"2026-07-02",
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)
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snapshot = result["ai_prompt_pack"]["evidence_snapshot"]
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assert snapshot["domain_invocation_layers"]["dasha_timing"]["source_refs"] == DASHA_TIMING
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assert snapshot["output_template_contract"]["required_sections"][-1] == "confidence_boundary"
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assert snapshot["mevg_collection_queue"]["status"] == "queued"
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assert snapshot["real_case_calibration_layer"]["status"] == "queued"
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assert snapshot["technical_debt_contract"]["tajika"]["status"] == "partial"
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assert snapshot["remaining_priority1_batch_queue"]["next_batches"] == [
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"references_batch2",
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"vedastro_official_default_closure",
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"external_oracle_parity_batch",
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"install_usage_path_slimming",
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]
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