"""Canonical hashes for the compute/HTTP class split. Fictional smoke chart only. Clock fields are removed before hashing. Payload values are not written; the golden file stores sha256 and key-path types. """ from __future__ import annotations import hashlib import json import os import shutil import sys from pathlib import Path from typing import Any ROOT = Path(__file__).resolve().parents[2] SCRIPTS = ROOT / "scripts" GOLDEN_PATH = ROOT / "tests" / "golden" / "api_server_service_extract_v1.json" CACHE_DIR = ROOT / "scratch" / "local" / "api_chart_cache" CLOCK_KEYS = {"cache_created_at", "cache_expires_at"} THEMES = ("career", "wealth", "relationship") BASELINE_SHA = "fbf04f0b5f31cd8421bc4546840b1c833aaed810" # Synthetic positions reused from tests/test_offline_compute_mixins.py. # Not a birth record. EVIDENCE_CHART = { "success": True, "ascendant": {"sign": "Aries", "sign_idx": 0, "degree": 12.0, "lon": 12.0}, "planets": { "Sun": {"sign": "Leo", "lon": 130.0}, "Moon": {"sign": "Cancer", "lon": 100.0}, }, } def prepare_env() -> None: os.environ["VEDASTRO_ENABLE_NETWORK"] = "0" os.environ.setdefault("JYOTISH_SKIP_LOCAL_ENV", "1") os.environ["PYTHONDONTWRITEBYTECODE"] = "1" for path in (str(ROOT), str(SCRIPTS)): if path not in sys.path: sys.path.insert(0, path) def clear_chart_cache() -> None: if CACHE_DIR.exists(): shutil.rmtree(CACHE_DIR) def theme_body(theme: str) -> dict[str, Any]: """Fictional smoke chart from the task brief. Coordinates only, no person.""" return { "year": 1990, "month": 1, "day": 1, "hour": 12, "minute": 0, "second": 0, "lat": 28.6139, "lon": 77.2090, "tz": 5.5, "theme": [theme], "defer_optional_external_evidence": True, "today": "2026-10-13", } def strip_clock(value: Any) -> Any: if isinstance(value, dict): return { key: strip_clock(item) for key, item in value.items() if key not in CLOCK_KEYS } if isinstance(value, list): return [strip_clock(item) for item in value] return value def json_type(value: Any) -> str: if value is None: return "null" if isinstance(value, bool): return "boolean" if isinstance(value, (int, float)): return "number" if isinstance(value, str): return "string" if isinstance(value, list): return "array" if isinstance(value, dict): return "object" return type(value).__name__ def flatten_keypaths(value: Any, prefix: str = "", *, depth: int = 0, max_depth: int = 2) -> dict[str, str]: out: dict[str, str] = {} label = prefix or "$" out[label] = json_type(value) if depth >= max_depth: return out if isinstance(value, dict): for key in sorted(item for item in value if isinstance(item, str)): child = f"{prefix}.{key}" if prefix else key out.update(flatten_keypaths(value[key], child, depth=depth + 1, max_depth=max_depth)) elif isinstance(value, list) and value: child = f"{prefix}[]" if prefix else "[]" out.update(flatten_keypaths(value[0], child, depth=depth + 1, max_depth=max_depth)) return out def canonical_text(value: Any) -> str: return json.dumps(strip_clock(value), sort_keys=True, ensure_ascii=False) def digest(value: Any) -> dict[str, Any]: text = canonical_text(value) return { "sha256": hashlib.sha256(text.encode("utf-8")).hexdigest(), "canonicalBytes": len(text.encode("utf-8")), "keypaths": flatten_keypaths(strip_clock(value)), } def capture_mcp(theme: str) -> Any: prepare_env() clear_chart_cache() from consultation_workflow_service import execute_consultation_workflow return execute_consultation_workflow(theme_body(theme), surface="skill_mcp") def capture_http(theme: str) -> Any: """HTTP handler method, on the compute class after the split.""" prepare_env() clear_chart_cache() from jyotish_api_server import JyotishComputeService return JyotishComputeService()._compute_consultation_workflow(theme_body(theme)) def capture_repairs() -> dict[str, Any]: prepare_env() clear_chart_cache() from capture_report_blocked_repairs_golden import ( BIRTH, MODULE_KEEP, THEMES as REPAIR_THEMES, VARGA_KEEP, _body, _handler, _trim_workflow, ) payload: dict[str, Any] = { "source": "scripts/jyotish_api_server.py _compute_consultation_workflow", "smoke_birth": {**BIRTH, "note": "fictional capture identity; not a real person"}, "trim": { "keep_varga_keys": list(VARGA_KEEP), "keep_modules": list(MODULE_KEEP), "drop": [ "ai_prompt_pack", "vedastro", "varga_spectrum", "guided_topics", "western_spectrum", "technique_audit_table", ], }, "themes": {}, } for theme in REPAIR_THEMES: clear_chart_cache() raw = _handler()._compute_consultation_workflow(_body(theme)) payload["themes"][theme] = _trim_workflow(raw) return payload def capture_evidence() -> Any: prepare_env() from consultation_workflow_service import build_runtime_evidence_helpers return build_runtime_evidence_helpers(EVIDENCE_CHART) def capture_cases(*, include_http: bool = True, include_repairs: bool = True) -> dict[str, Any]: cases: dict[str, Any] = {} for theme in THEMES: cases[f"mcp.{theme}"] = capture_mcp(theme) if include_http: cases[f"http.{theme}"] = capture_http(theme) if include_repairs: cases["repairs"] = capture_repairs() cases["evidence"] = capture_evidence() return cases def summarize(cases: dict[str, Any]) -> dict[str, Any]: return {name: digest(value) for name, value in cases.items()} def provenance() -> dict[str, Any]: return { "fictional": True, "command": "python scripts/research/api_service_extract_golden.py --check", "baselineSha": BASELINE_SHA, "env": { "VEDASTRO_ENABLE_NETWORK": "0", "JYOTISH_SKIP_LOCAL_ENV": "1", }, "clockFieldsRemoved": sorted(CLOCK_KEYS), "mcpSurface": "skill_mcp", "note": "fictional smoke chart from the task brief; payload values are not stored", } def document_from_summary(summary: dict[str, Any]) -> dict[str, Any]: return { "kind": "sha256_and_keypath_types", "fixtureProvenance": provenance(), "cases": summary, } def write_golden(summary: dict[str, Any], path: Path = GOLDEN_PATH) -> None: path.parent.mkdir(parents=True, exist_ok=True) text = json.dumps(document_from_summary(summary), ensure_ascii=False, indent=2, sort_keys=True) + "\n" path.write_text(text, encoding="utf-8") def load_golden(path: Path = GOLDEN_PATH) -> dict[str, Any]: return json.loads(path.read_text(encoding="utf-8")) def check_golden(path: Path = GOLDEN_PATH) -> list[str]: expected = load_golden(path)["cases"] actual = summarize(capture_cases()) mismatches: list[str] = [] if set(expected) != set(actual): mismatches.append(f"case names {sorted(expected)} != {sorted(actual)}") for name in sorted(set(expected) & set(actual)): if expected[name]["sha256"] != actual[name]["sha256"]: mismatches.append( f"{name} sha256 {expected[name]['sha256']} != {actual[name]['sha256']} " f"bytes {expected[name]['canonicalBytes']} != {actual[name]['canonicalBytes']}" ) elif expected[name]["keypaths"] != actual[name]["keypaths"]: mismatches.append(f"{name} keypaths differ") return mismatches def main(argv: list[str]) -> int: prepare_env() if "--check" in argv: mismatches = check_golden() if mismatches: print("MISMATCH") for item in mismatches: print(item) return 1 print("MATCH", len(load_golden()["cases"])) return 0 summary = summarize(capture_cases()) for name, row in summary.items(): print(f"{name} {row['sha256']} {row['canonicalBytes']}") if "--write" in argv: write_golden(summary) print("WROTE", GOLDEN_PATH) return 0 if __name__ == "__main__": raise SystemExit(main(sys.argv[1:]))