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fix(report): keep the English edition when one phrase was untranslated

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The English personal report was discarded whenever a Chinese fragment survived the trailing glossary. English sections now render the English fields that were already calculated.

Co-Authored-By: Grok (agent loop)
Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
jesse-ux
2026-10-22 02:56:00 +08:00
co-authored by Grok (agent loop) Cursor
parent 9812f31737
commit ba1ffeb35f
18 changed files with 815 additions and 53 deletions
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scripts/pl9_full_data_export.py
+36 -3
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@@ -2070,14 +2070,43 @@ def _render_pl9_ai_density_raw_data_markdown_en(packet: dict) -> str:
rows.append([name, item.get("sign"), item.get("degree_in_sign"), item.get("longitude")])
lines.extend(["## Sahams", "", table(["Name", "Sign", "Degree in sign", "Longitude"], rows), ""])
english_report = _pl9_report_language(packet) == "en"
strength_en_map: dict[str, str] = {}
han_leaks = None
if english_report:
try:
from yoga_engine import STRENGTH_EN as strength_en_map
except ImportError:
from scripts.yoga_engine import STRENGTH_EN as strength_en_map
try:
from pl9_reader_english import HAN as han_leaks
except ImportError:
from scripts.pl9_reader_english import HAN as han_leaks
def _english_plain(value: Any) -> str:
text = str(value or "").strip()
if not text or (han_leaks is not None and han_leaks.search(text)):
return ""
return text
yoga = dict_get(("advanced_systems", "yoga", "detected_yogas"), [])
if isinstance(yoga, list):
rows = []
for item in yoga:
if isinstance(item, dict):
effects = [effect for effect in (clean_effect(e) for e in item.get("effects", [])) if effect]
if english_report:
effects_src = item.get("effects_en") if isinstance(item.get("effects_en"), list) else []
effects = [text for text in (_english_plain(effect) for effect in effects_src) if text]
combination = _english_plain(item.get("combination_en")) or "-"
strength = _english_plain(item.get("strength_en"))
if not strength:
strength = _english_plain(strength_en_map.get(str(item.get("strength") or ""), ""))
else:
effects = [effect for effect in (clean_effect(e) for e in item.get("effects", [])) if effect]
combination = item.get("combination")
strength = item.get("strength")
effects_text = "; ".join(effects) if effects else "-"
rows.append([item.get("name"), item.get("category"), item.get("strength"), item.get("combination"), effects_text])
rows.append([item.get("name"), item.get("category"), strength, combination, effects_text])
lines.extend(["## Applicable Yogas", "", table(["Yoga", "Category", "Strength", "Combination", "Effects / notes"], rows), ""])
dosha = dict_get(("advanced_systems", "yogas_doshas"), {})
@@ -2092,10 +2121,14 @@ def _render_pl9_ai_density_raw_data_markdown_en(packet: dict) -> str:
for key in ["mangal_dosha", "kaal_sarp_dosha", "pitra_dosha", "sade_sati"]:
item = dosha.get(key)
if isinstance(item, dict):
if english_report:
summary = _english_plain(item.get("summary_en")) or "-"
else:
summary = item.get("summary") or item.get("phase") or item.get("type")
rows.append([
dosha_labels.get(key, key),
item.get("present") or item.get("detected") or item.get("status"),
item.get("summary") or item.get("phase") or item.get("type"),
summary,
])
lines.extend(["## Dosha and Transit Summary", "", table(["Topic", "Detected / phase", "Summary"], rows), ""])