feat(report): static English dictionary for yoga rules and dasha applicability (E3)

yoga_rules.json gains effects_en for every rule and an _en sibling for each
Han-bearing string (combo_template, strength, source, accuracy_note); zh values
untouched. reader_dasha_applicability renders language='en' from the same
packet; the default zh output is byte-identical (pinned by sha256).

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01N4f2nya58RoRu4yEmJgRGE

tests/test_report_english_dictionary.py

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+"""Static English dictionary for the English report edition.
+
+The zh wording stays authoritative and unchanged; every Han-bearing rule string
+in references/yoga_rules.json carries an ``_en`` sibling, and the auxiliary
+dasha applicability table renders in English from the same packet.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import itertools
+import json
+import re
+from pathlib import Path
+
+from scripts.reader_dasha_applicability import REASON_LABELS, render_dasha_applicability
+
+ROOT = Path(__file__).resolve().parents[1]
+RULES = json.loads((ROOT / "references" / "yoga_rules.json").read_text(encoding="utf-8"))["rules"]
+HAN = re.compile(r"[㐀-鿿豈-﫿]")
+PLACEHOLDER = re.compile(r"\{[^{}]*\}")
+# Keys whose Han value is paired by an existing English key rather than a `_en` sibling.
+PAIRED = {"name_cn": "name"}
+
+
+def _walk(node, path=()):
+    if isinstance(node, dict):
+        yield path, node
+        for key, value in node.items():
+            yield from _walk(value, path + (key,))
+    elif isinstance(node, list):
+        for index, value in enumerate(node):
+            yield from _walk(value, path + (index,))
+
+
+def test_every_rule_has_parallel_english_effects():
+    for rule in RULES:
+        effects = rule.get("effects")
+        if effects is None:
+            continue
+        english = rule.get("effects_en")
+        assert isinstance(english, list) and len(english) == len(effects), rule["id"]
+        for zh, en in zip(effects, english):
+            assert isinstance(en, str) and en.strip(), (rule["id"], zh)
+            assert not HAN.search(en), (rule["id"], en)
+            if not HAN.search(zh):
+                assert en == zh, (rule["id"], zh, en)
+
+
+def test_every_han_string_has_an_english_sibling():
+    for rule in RULES:
+        for path, node in _walk(rule):
+            for key, value in node.items():
+                if not isinstance(value, str) or not HAN.search(value) or key.endswith("_en"):
+                    continue
+                sibling = PAIRED.get(key, f"{key}_en")
+                english = node.get(sibling)
+                assert isinstance(english, str) and english.strip(), (rule["id"], path, key)
+                assert not HAN.search(english), (rule["id"], path, sibling, english)
+
+
+def test_english_templates_keep_the_same_placeholders():
+    checked = 0
+    for rule in RULES:
+        for path, node in _walk(rule):
+            zh = node.get("combo_template")
+            if isinstance(zh, str):
+                assert sorted(PLACEHOLDER.findall(node.get("combo_template_en", zh))) == sorted(PLACEHOLDER.findall(zh)), (rule["id"], path)
+                checked += 1
+    assert checked >= 150
+
+
+def _applicability_packets():
+    reasons = [None, *REASON_LABELS, "Moon Nakshatra 'X' does not qualify for Ashtottari Dasha under Y", "odd <reason> | pipe"]
+    statuses = [None, "not_applicable", "blocked", "missing_in_local", "unavailable", "ok"]
+    packets = [{}, {"worksheets": {}}, {"worksheets": {"timing_and_predictive_systems": {"dasha_master_pack": {"families": {}}}}}]
+    for index, (status, reason, applicable) in enumerate(itertools.product(statuses, reasons, [None, True, False])):
+        families = {
+            "vimshottari": {},
+            "narayana": {"status": status, "reason": reason, "mahadasha_sequence": [1] if index % 2 else []},
+            "ashtottari": {"status": status, "reason": reason, "applicable": applicable},
+            "kala_chakra": {"periods": [1]},
+        }
+        packets.append({"worksheets": {"timing_and_predictive_systems": {
+            "dasha_master_pack": {"families": families},
+            "ashtottari_dasha": {"applicable": applicable, "reason": reason},
+            "annual_tajika_pack": {"mudda_dasha": {"status": status}},
+        }}})
+    return packets
+
+
+# sha256 of the zh output for every synthetic packet, taken from the module
+# before the English path was added: zh must stay byte-identical.
+ZH_APPLICABILITY_SHA256 = "b3194019f11f476f75327a7e76c94099eff7d50c5301d215c43cb45c000d278d"
+
+
+def test_dasha_applicability_zh_is_unchanged():
+    packets = _applicability_packets()
+    rendered = "\x00".join(render_dasha_applicability(packet) for packet in packets)
+    assert hashlib.sha256(rendered.encode("utf-8")).hexdigest() == ZH_APPLICABILITY_SHA256
+    assert all(render_dasha_applicability(packet, language="zh") == render_dasha_applicability(packet) for packet in packets)
+
+
+def test_dasha_applicability_en_has_no_han_and_same_rows():
+    for packet in _applicability_packets():
+        zh = render_dasha_applicability(packet)
+        en = render_dasha_applicability(packet, language="en")
+        assert not HAN.search(en), en
+        assert zh.count("\n") == en.count("\n")
+        assert zh.count("|") == en.count("|")