- EFTS queries now include 497/497K (many fund families publish their
per-fund highlights there, not in the consolidated N-CSR) and re-rank
hits by registrant name match (ticker/brand words), newest first,
capped at 2 filings per CIK
- new parse_per_share_blocks for the JPMorgan-style 'Per share operating
performance' table (per-class value blocks; dashes = zero)
- parse_highlights now tolerates row labels split across table cells
(modernized N-CSRS format, e.g. Calamos 2026)
- region finders: word-flexible name patterns (US vs U.S., class letters),
self-validating per-share regions (a candidate block must match the
local series, so a name mention in notes doesn't attribute another
fund's tables in a combined 58 MB report)
- main() keeps the best result across candidate filings (N-CSRS vs 497
can round differently) and stops early on 'ok'
- local_series applies the corrections overlay so corrected funds verify
against their filing
Results: JLPSX and CVSIX now 'ok' (all bounded fiscal years agree with
the official filings); CVSIX also gets a 2023-12-21 0.510 capital-gain
correction. bnd/pmaix still ok (no regression).
The cache now tracks every file in the data dir (mtime_ns + size) in
.cache/manifest.json. On load, a directory scan is compared against the
manifest:
- changed/added files are re-read and merged into the parquet panels
(one read + one concat + one write per touched panel; new values
win where present, old values kept where the new file is short)
- removed files drop their symbols (and names)
- an up-to-date cache is a ~30 ms memo hit
Measured on the real 4k-symbol set: full build 54 s, refresh of
5 modified + 1 added + 1 removed files 3.4 s. No scan TTL (a scan is
a few ms); a previous 5 s scan cache masked data updates.
Tests: tests/test_data.py (11 checks) added as step 1 of run_tests.sh.
- single spec grammar for symbol and benchmark fields: commas join one
portfolio (MSFT:0.6,V:0.4), spaces separate distinct symbols/portfolios;
both fields accept one or many entries
- benchmarks simulated with the same scheme/cost/tax rules; per-benchmark
beta/alpha columns; after-tax benchmark curves
- global Curve mode (pre/after/both) above the tabs; clean names in
single-curve mode
- live updates: field commits on Enter/blur, page recomputes per rerun;
portfolio+tax sims cached (st.cache_data); plotly.js from CDN (4.6MB ->
browser-cached) with F_INLINE_PLOTLY=1 offline fallback
- chart: legend underneath, solid lines, pan sticks to data edges
(width-preserving), zoom edge-clamped
- inputs persist in settings.json across reloads/restarts/devices
- tests: tests/test_app.py (AppTest) + tests/test_e2e_browser.py
(Playwright) via ./run_tests.sh
