fix(sec): keep the market-cap fallback through an amendment merge
Found in review. _merge_amendments rebuilds a period from _MERGED_FIELDS + _CARRIED_FIELDS alone, so a column in neither list is absent from the merged row, not just stale — and callers read it with getattr(..., None), which silently yields None. weighted_avg_diluted_shares was never added when the market-cap fallback landed (_SNAPSHOT_COLS in the importer was updated, its counterpart in the derivation was not). The failure needed both of this branch's fixes at once: a multi-class issuer with a partial amendment on its latest period (META with a Part-III-only 10-K/A) would silently lose market cap and FCF yield again. Adds the field, a regression test for that case, and a guard test asserting the merge/carry lists cover every SnapshotRow field, so the next column added fails loudly rather than losing data quietly. Confirmed the guard catches the original bug. Also from review: - Expose pe_caveat in the valuation payload, so a P/E suppressed by split contamination says why instead of looking like missing data (the caveat was set but never read). - no_xbrl_filings now names both causes; the old text advised pinning a CIK override, which is wrong for a genuine new registrant that simply has not filed yet and clears itself. - Document that fiscalYearEnd is the issuer's current calendar, so a fiscal- year-end change degrades old periods (fallback/newest-wins), not current ones. - Parser-level tests for _select_weighted_avg_shares (shortest-span-wins and concept priority), which only had derivation-level coverage. 823 unit tests pass. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -291,6 +291,20 @@ def test_point_in_time_share_count_is_preferred_and_not_flagged():
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assert d.shares_outstanding_estimated is False
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def test_weighted_average_fallback_survives_a_partial_amendment():
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# A Part-III-only 10-K/A on a multi-class issuer's latest period: the merged
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# row must keep the weighted-average count, or market cap silently vanishes.
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rows = _two_years()
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for row in rows:
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row.shares_outstanding = None
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row.weighted_avg_diluted_shares = 2_564_000_000.0
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part_iii_only = Snap(2026, "FY", date(2026, 9, 30), date(2026, 11, 1),
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datetime(2027, 1, 1, tzinfo=UTC))
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d = fd.derive(rows + [part_iii_only])
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assert d.shares_outstanding == 2_564_000_000.0
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assert d.shares_outstanding_estimated is True
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def test_no_share_count_at_all_stays_none_and_unflagged():
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rows = _two_years()
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for row in rows:
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@@ -298,3 +312,22 @@ def test_no_share_count_at_all_stays_none_and_unflagged():
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d = fd.derive(rows)
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assert d.shares_outstanding is None
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assert d.shares_outstanding_estimated is False
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def test_merge_lists_cover_every_parser_field():
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"""_MERGED_FIELDS/_CARRIED_FIELDS are hand-maintained, and _merge_amendments
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builds the merged row from them alone — so a parser field missing from both
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is not merely stale on a merged period, it is *absent*, and callers using
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getattr(row, name, None) read None. That is how weighted_avg_diluted_shares
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silently lost market cap for multi-class issuers with a partial amendment.
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Adding a column to SnapshotRow must fail here rather than lose data quietly.
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"""
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import dataclasses
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from app.services.sec_facts_parser import SnapshotRow
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parser_fields = {f.name for f in dataclasses.fields(SnapshotRow)}
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covered = set(fd._MERGED_FIELDS) | set(fd._CARRIED_FIELDS)
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assert not parser_fields - covered, (
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f"parser fields not merged or carried: {sorted(parser_fields - covered)}"
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)
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@@ -463,3 +463,34 @@ def test_diluted_still_wins_over_basic_when_both_present():
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datetime(2026, 5, 1, 10, tzinfo=UTC), "10-Q")}
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res = parse_snapshots(companyfacts, filings, {"X"}, fiscal_year_end="1231")
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assert res.rows[0].diluted_eps == 1.36
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def test_weighted_average_shares_prefers_the_shortest_span():
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# A 10-Q carries both the quarter's average and the YTD one. The shorter
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# window sits closer to the current count, which is what market cap wants.
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companyfacts = {
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"cik": 1326801,
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"facts": {"us-gaap": {"WeightedAverageNumberOfDilutedSharesOutstanding": {
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"units": {"shares": [
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_dur("2026-01-01", "2026-09-30", 2_600_000_000, "X", fp="Q3"), # YTD
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_dur("2026-07-01", "2026-09-30", 2_564_000_000, "X", fp="Q3"), # quarter
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]}
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}}},
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}
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filings = {"X": FilingMeta(date(2026, 9, 30), date(2026, 11, 1),
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datetime(2026, 11, 1, 10, tzinfo=UTC), "10-Q")}
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res = parse_snapshots(companyfacts, filings, {"X"}, fiscal_year_end="1231")
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assert res.rows[0].weighted_avg_diluted_shares == 2_564_000_000
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def test_weighted_average_shares_falls_back_to_the_basic_and_diluted_concept():
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companyfacts = {
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"cik": 1326801,
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"facts": {"us-gaap": {"WeightedAverageNumberOfSharesOutstandingBasicAndDiluted": {
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"units": {"shares": [_dur("2026-07-01", "2026-09-30", 500_000, "X", fp="Q3")]}
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}}},
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}
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filings = {"X": FilingMeta(date(2026, 9, 30), date(2026, 11, 1),
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datetime(2026, 11, 1, 10, tzinfo=UTC), "10-Q")}
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res = parse_snapshots(companyfacts, filings, {"X"}, fiscal_year_end="1231")
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assert res.rows[0].weighted_avg_diluted_shares == 500_000
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