Add T0 analyst reports for active IPOs

Request:
- Analyze HK IPO ticker 01392 with the analyst skill.
- Preserve the in-flight 06132 archive/report work already created for the prior request.

Changes:
- Archived official HKEX prospectus PDFs and extracted text for 01392 and 06132.
- Seeded structured T0 facts into the SQLite archive and refreshed CSV snapshots and sync state.
- Rebuilt the v0 analysis dataset and model calibration report.
- Generated Simplified Chinese T0 prospectus-stage analyst reports for 01392 and 06132.
- Adjusted report stage calendars so T2 uses the previous business day before D1 when listing is separated from allocation by a weekend.

Verification:
- Compiled modified Python scripts with in-memory syntax checks.
- Ran SQLite quick_check and foreign_key_check.
- Confirmed DB row counts match CSV snapshots for key tables.
- Verified 01392/06132 source paths are repo-relative, raw files exist, hashes match, and PDF text manifest rows are ok.
- Ran git diff --cached --check.

Next useful context:
- 01392 T1 is due on 2026-06-18; rerun analyst after allotment results are archived.
- 06132 T1 is due on 2026-06-22; rerun analyst after allotment results are archived.

scripts/archive_hkex_documents.py

@@ -427,9 +427,10 @@ def parse_prospectus_facts(local_path: str) -> ProspectusFacts:
         over_allotment = round(global_shares * 0.15)
     public_pct = round(hk_shares / global_shares, 4) if global_shares and hk_shares else None
     allotment_date = (
-        date_after(r"Announcement of.*?Offer Price", text)
-        or date_after(r"Announcement of", text)
+        date_after(r"Announcement of the level of indications.*?basis of allocation", text)
         or date_after(r"The results of allocations", text)
+        or date_after(r"Announcement of", text)
+        or date_after(r"Announcement of.*?Offer Price", text)
     )
     return ProspectusFacts(
         application_start_date=date_after(r"Hong Kong Public Offering commences", text),

scripts/generate_ipo_report.py

@@ -7,7 +7,7 @@ import argparse
 import csv
 import sys
 from dataclasses import dataclass
-from datetime import datetime, timezone
+from datetime import datetime, timedelta, timezone
 from pathlib import Path
 from statistics import mean, median
 from typing import Any
@@ -150,6 +150,22 @@ def fmt_int(value: int | None) -> str:
     return f"{value:,}"
 
 
+def parse_date(value: str) -> datetime | None:
+    if not value:
+        return None
+    try:
+        return datetime.fromisoformat(value)
+    except ValueError:
+        return None
+
+
+def previous_business_date(value: datetime) -> datetime:
+    day = value - timedelta(days=1)
+    while day.weekday() >= 5:
+        day -= timedelta(days=1)
+    return day
+
+
 def determine_stage(record: dict[str, str], requested_stage: str) -> str:
     if requested_stage == AUTO_STAGE:
         return T1_STAGE if as_bool(record["has_structured_t1"]) else T0_STAGE
@@ -292,10 +308,16 @@ def stage_calendar_table(record: dict[str, str]) -> str:
     application_end = fmt_value(record["application_end_date"])
     allotment_date = fmt_value(record["allotment_results_expected_date"])
     listing_date = fmt_value(record["listing_date"])
-    if allotment_date != "未记录":
-        t2_date = f"{allotment_date} 分配结果公布后"
-    elif listing_date != "未记录":
-        t2_date = "D1 前一个交易日；精确日期未归档"
+    listed = parse_date(record["listing_date"])
+    allotment = parse_date(record["allotment_results_expected_date"])
+    if listed:
+        previous = previous_business_date(listed)
+        if allotment and previous.date() == allotment.date():
+            t2_date = f"{previous.date().isoformat()} 分配结果公布后 / D1 前一交易日"
+        else:
+            t2_date = f"{previous.date().isoformat()}，预计 D1 前一交易日"
+    elif allotment:
+        t2_date = f"{allotment.date().isoformat()} 分配结果公布后"
     else:
         t2_date = "未记录"