Commit Graph

3 Commits

Author SHA1 Message Date
0671ef277e feat(io): route read_file through pre-parse repair by default
Previously only analyze() and direct read_csv_repaired() callers got the
byte-level repair pass (BOM strip, NUL strip, smart-double-quote fold,
unquoted-delimiter merge). The dedup CLI and any other read_file consumer
silently missed it.

read_file gains a repair=True default. CSV/TSV inputs run through
repair_bytes before pandas sees them; Excel inputs still pass through
unchanged. Chunked reads (chunk_size set) bypass repair because the pre-
parse pass loads the whole file — preserving streaming behavior on huge
files. Repair actions and unrepairable lines are logged at INFO/WARNING.

cli_text_clean opts out (repair=False): the cleaner offers fine-grained
control via --preset and per-op flags, and a byte-level smart-quote fold
under the user's "minimal" preset would violate that contract. The
cell-level cleaner does the equivalent work itself when its options ask
for it.

Tests: read_file default strips BOM and folds curly double quotes;
repair=False preserves smart quotes; chunked reads still work and skip
repair as documented.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 16:09:35 +00:00
b8a9fa1b09 feat(io): pre-parse CSV repair (BOM/NUL/smart-quotes/unquoted-delim)
Some pollution patterns block pandas before the cell-level cleaner can run.
Add a pre-parse pass on raw bytes that fixes only what breaks parsing, and
returns a structured action log the GUI/CLI can surface to the user.

repair_bytes(raw, *, encoding, delimiter, fold_quotes, strip_nul, repair_delims):
  1. Strip leading UTF-8 BOM.
  2. Strip embedded NUL bytes (the C parser truncates fields at NUL).
  3. Fold smart double quotes (curly, guillemet, double-prime) to ASCII '"'.
     Curly singles are NOT folded here; they don't conflict with CSV and the
     cell-level cleaner handles them more accurately.
  4. Per-row repair when one rogue delimiter is embedded in a field that
     looks like currency or thousands-grouped digits. Tiered scoring keeps
     "  $1,500.00  ,7" unambiguous: the strict currency regex match wins
     over the loose digit/sigil heuristic.

read_csv_repaired(path) -> (DataFrame, RepairResult). RepairResult exposes
.actions, .unrepairable_lines, and a summary() grouped by kind.

Out of scope for this pass: encoding repair, delimiter conversion, multi-
delimiter merges (k>1) — logged as unrepairable so callers can see what was
left alone instead of silently parsing wrong.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 15:37:49 +00:00
b871ab24fc feat: add documentation, Streamlit GUI, and full source tree
- Rewrite README.md with project overview, quick-start, and CLI summary
- Add docs/CLI-REFERENCE.md with full flag reference and 8 recipe sections
- Add docs/DEVELOPER.md with architecture, data flow, and extension guides
- Rewrite src/core/__init__.py with public API exports and module docstring
- Add Streamlit GUI (src/gui/) with file upload, advanced options, interactive
  match group review with side-by-side diff, and download buttons
- Add .gitignore, requirements.txt, all source code, tests, and sample data
- Add streamlit to requirements.txt

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-28 23:06:39 +00:00