ClaudeandClaude Opus 5.5
c1a69445b5
Remove the V5 scoring pipeline, dynamic rectification, minute-rectification evaluations and the research scripts built on them, plus their API routes. Keep the upstream skill layer (gate, questionnaire, active events), the varga-segments scan and the consult range reading (moved to scripts/birth_window_range_reading.py). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DbBXozbkyFNqbu8pVEtZ7W
88 lines
3.3 KiB
Python
88 lines
3.3 KiB
Python
"""Stable vs minute-sensitive reading themes across a declared birth window.
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Serves `/api/rectification/v5/range_reading` for consultation (a person whose
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birth time is a range). Moved out of the retired rectification V5 API service
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on 2026-11-06; behaviour unchanged.
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"""
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from __future__ import annotations
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from typing import Any, Mapping
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def range_reading(request: Mapping[str, Any]) -> dict[str, Any]:
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"""Stable vs minute-sensitive themes for one unresolved clock window."""
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from types import SimpleNamespace
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from scripts.jyotish_engine import _build_birth_time_sensitivity
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body = dict(request or {})
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birth_date = str(body.get("birth_date") or "").strip()
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if birth_date:
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year_text, month_text, day_text = birth_date.split("-", 2)
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year, month, day = int(year_text), int(month_text), int(day_text)
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else:
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year, month, day = int(body["year"]), int(body["month"]), int(body["day"])
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representative = str(body.get("representative_time") or "")[:5]
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if len(representative) == 5 and representative[2] == ":":
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hour, minute = int(representative[:2]), int(representative[3:])
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else:
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hour = int(body.get("hour") or 12)
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minute = int(body.get("minute") or 0)
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representative = f"{hour:02d}:{minute:02d}"
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raw_range = body.get("candidate_range")
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if isinstance(raw_range, Mapping):
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start_time = str(raw_range.get("start_time") or "")[:5]
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end_time = str(raw_range.get("end_time") or "")[:5]
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representative = str(raw_range.get("representative_time") or representative)[:5]
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else:
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start_time = str(body.get("start_time") or "")[:5]
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end_time = str(body.get("end_time") or "")[:5]
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hour, minute = int(representative[:2]), int(representative[3:])
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accuracy = str(body.get("birth_time_accuracy") or "provisional")
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args = SimpleNamespace(
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year=year,
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month=month,
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day=day,
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hour=hour,
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minute=minute,
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second=0,
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lat=float(body["lat"]),
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lon=float(body["lon"]),
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tz=float(body["tz"]),
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ayanamsa=body.get("ayanamsa") or "raman",
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node_mode=body.get("node_mode") or "mean",
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birth_time_accuracy=accuracy,
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candidate_range={
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"start_time": start_time,
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"end_time": end_time,
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"representative_time": representative,
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},
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representative_time=representative,
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declared_window_start=None,
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declared_window_end=None,
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uncertainty_before_minutes=None,
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uncertainty_after_minutes=None,
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)
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sensitivity = _build_birth_time_sensitivity(args)
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themes = sensitivity.get("theme_sensitivity")
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themes = themes if isinstance(themes, dict) else {}
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stable = [
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key for key, row in themes.items()
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if isinstance(row, dict) and row.get("status") == "stable"
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]
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sensitive = [
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key for key, row in themes.items()
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if isinstance(row, dict) and row.get("status") == "sensitive"
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]
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return {
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"window": sensitivity.get("window"),
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"stable_themes": stable,
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"sensitive_themes": sensitive,
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"claim_boundary": sensitivity.get("claim_boundary"),
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"theme_sensitivity": themes,
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"accuracy": sensitivity.get("accuracy"),
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"status": sensitivity.get("status"),
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}
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