python -m src.cli_analyze input.csv # rich table per tool
python -m src.cli_analyze input.csv --json # array of finding dicts
python -m src.cli_analyze input.csv --strict # exit 1 on warn/error
python -m src.cli_analyze input.csv -n 50000 # cap rows scanned
Findings are grouped by destination tool so the user can see at a glance
which tool to open next. Read-only; exit code 0 unless --strict is set.
The CLI keeps its own tool-id -> display-name map so it doesn't depend on
the GUI module.
7 tests cover: clean-file passthrough, dirty-file table, --json round-trip,
missing-file (exit 2), --strict exit code, --sample-rows cap.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Pure, advisory scan over an uploaded file or DataFrame that returns a list of
Finding objects naming each issue, the affected count, and which downstream
tool can fix it. The GUI uses this to badge tool nav items at upload; the CLI
will print findings as a table or JSON.
src/core/analyze.py:
Finding dataclass (id, severity, tool, count, description, column, samples)
analyze(source, *, sample_rows=1000, repair_result=None) -> list[Finding]
- source: DataFrame, path, or str. Path scans first 1000 rows.
- When source is a path, runs the same pre-parse repair the tool pages
will use; the resulting RepairResult is auto-surfaced as csv_*
findings. A caller-supplied repair_result wins so non-default repair
flags are respected.
Detectors (each independent, samples capped at 5):
- smart_punctuation_in_data -> 02
- nbsp_or_unicode_whitespace -> 02
- zero_width_or_invisible -> 02
- dirty_column_headers -> 02
- whitespace_padding -> 02
- null_like_sentinels -> 04
- suspected_mojibake -> 02 (Tier 2)
- mixed_case_email_column -> 02 case op
- leading_zero_ids -> informational, no tool
Helpers: findings_by_tool() for sidebar grouping, to_dict() for JSON.
Detectors are decoupled from the GUI display layer — they emit stable tool
ids ("02_text_cleaner") and the GUI maps those to display names.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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>
The 21-fixture corpus (test-cases/text-cleaner-corpus/) exercises the cleaner
end-to-end against the spec in TEST-CASES.md. Closing the failing cases drove
five small cleaner fixes plus two fixture-generation fixes:
- _SMART_CHARS: add prime, double prime, guillemets (case 03)
- _ZERO_WIDTH: add soft hyphen U+00AD (case 05)
- clean_dataframe: clean column headers via the same pipeline (cases 16/19/20),
with a clean_headers toggle on CleanOptions
- smart_title_case: title-case full-shout strings ("ALICE SMITH" -> "Alice
Smith") while still preserving embedded acronyms; preserve uppercase after
apostrophe in names ("O'CONNOR" -> "O'Connor", "o'neil" -> "O'neil")
- test_corpus.py reader: pre-strip NUL bytes (C parser truncates at NUL,
python engine is too strict about embedded literal "), per spec case 06
- generate_test_data.py: properly CSV-escape literal-quote cells in case 03
expected; quote the rogue-comma price field in case 17 input
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
python -m src.gui now opens Chrome with --app flag, hiding the address
bar, tabs, and bookmarks bar. Falls back to default browser if Chrome
is not found. Headless flag passed via CLI so streamlit run directly
still auto-opens normally.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add shared hide_streamlit_chrome() helper that removes header bar,
hamburger menu, footer, and deploy button via CSS injection. Called
on every page. Add .streamlit/config.toml with minimal toolbar mode.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Convert single-page deduplicator into a multi-page suite. Home page shows
tool card grid. Deduplicator extracted to its own page (fully working).
8 stub pages added for Text Cleaner, Format Standardizer, Missing Values,
Column Mapper, Outlier Detector, Multi-File Merger, Validator & Reporter,
and Pipeline Runner — each with functional file upload and coming-soon UI.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Update README, CLI reference, and developer guide to cover delimiter
selector, inline checkboxes/dropdowns, live surviving rows preview,
multi-row survivors, and apply_review_decisions(). Remove dead link.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Delimiter dropdown now includes "Other" option with a text input for
custom delimiter characters. Subtitle updated to mention delimited text.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Auto-detects delimiter on upload and shows a selectbox with comma, tab,
semicolon, and pipe options. Changing re-reads the file immediately.
Line terminators (Windows/Unix/Mac) already handled by universal newlines.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Shows a read-only preview of the output rows below the editor,
updating as checkboxes and column dropdowns are changed.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Only the row chosen by the survivor rule (first, last, most-recent, etc.)
is checked by default. Other rows start unchecked.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace separate checkbox row and "Customize columns" toggle with a
unified st.data_editor grid — Keep checkboxes at the start of each row,
differing columns render as inline selectbox dropdowns.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace radio + Merge/Keep Both buttons with per-row checkboxes
and a single Confirm button. Users can now:
- Keep all rows (not duplicates) — check all, confirm
- Merge to one row — uncheck all but one, optionally customize columns
- Split a group — keep some rows, remove others (new capability)
Decision format changed from {action, survivor_idx, overrides} to
{keep_indices, overrides}. apply_review_decisions() updated to handle
all three modes. Batch actions updated accordingly.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Each match group card now has:
- Radio button to pick which row to keep as the base survivor
- "Customize columns" toggle showing only columns that differ
- Per-column selectbox to pick values from any row in the group
- Decisions stored as {action, survivor_idx, overrides} dicts
Added apply_review_decisions() that builds the final DataFrame by
applying survivor selection + column overrides without re-running
the dedup engine. Batch actions also use the new dict format.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace st.rerun() with on_click callbacks so decisions write to
session state before the natural rerun. Decided groups auto-collapse
with status in the label; undecided groups stay expanded. Added undo
button on decided groups.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- 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>
