Michael
3dd924474c
New docs/REQUIREMENTS.md catalogs every shipped capability in 17 numbered categories — file handling, input/output encodings, delimiters, line endings, detectors, finding schema, confidence tiers, decisions, performance targets (1 GB), tools, gate behavior, interfaces, platforms, deps, test coverage, privacy. Linked from README and USER-GUIDE so a buyer / integrator can scan compliance in under a minute. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
147 lines
6.0 KiB
Markdown
147 lines
6.0 KiB
Markdown
# REQUIREMENTS.md
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Numbered, categorized requirements list — short form. The companion to USER-GUIDE.md and TECHNICAL.md; updated with every shipped capability.
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---
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## 1. File handling
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1.1 File size: ≤ 1 GB (target; bigger files work but the gate's full-DataFrame Apply pass scales linearly).
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1.2 Input formats: CSV, TSV, XLSX, XLS.
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1.3 Output formats: CSV, TSV.
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1.4 Excel: multi-sheet workbook picker.
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1.5 Empty file: detected, blocks gate with `empty_input` error finding.
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## 2. Input encodings (auto-detected)
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2.1 Unicode: UTF-8, UTF-8 with BOM, UTF-16 LE/BE with BOM, UTF-16 LE without BOM (best-effort).
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2.2 Western: cp1252, ISO-8859-1, ISO-8859-15, Mac Roman.
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2.3 Eastern European: cp1250, ISO-8859-2.
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2.4 Cyrillic: cp1251, KOI8-R.
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2.5 CJK: Shift_JIS / cp932, GB18030, Big5, EUC-KR / cp949.
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2.6 ASCII: detected as UTF-8 (byte-equivalent).
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2.7 User override: any Python codec name typed in the Review page.
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2.8 BOM: stripped on read, never written.
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2.9 Decode failure: surfaced as `encoding_decode_failed` (error severity).
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2.10 Replacement char (U+FFFD) in output: surfaced as `encoding_uncertain` (error).
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## 3. Output encodings
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3.1 UTF-8 (default).
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3.2 UTF-8 with BOM (Excel-friendly).
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3.3 cp1252, ISO-8859-1, ISO-8859-15, cp1250, ISO-8859-2, cp1251.
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3.4 Shift_JIS, GB18030, Big5, EUC-KR, UTF-16 LE.
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3.5 Lossy fallback: `?` replacement + warning shown when chosen codec can't represent a character.
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## 4. Delimiters
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4.1 Auto-detect (input): `,`, `\t`, `;`, `|`.
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4.2 Output: `,` (default), `\t`, `;`, `|`.
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4.3 File extension: `.tsv` for tab, `.csv` otherwise.
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## 5. Line endings
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5.1 Input: LF, CRLF, bare CR (all normalized to LF on read).
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5.2 Embedded in quoted cells: also normalized to LF.
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5.3 Output: LF (default), CRLF, CR.
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5.4 Mixed line endings: surfaced as `mixed_line_endings` finding.
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## 6. Analyzer detectors
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6.1 File-level (audit log of read-time fixes): `csv_bom_stripped`, `csv_nul_stripped`, `csv_smart_quotes_folded`, `csv_line_endings_normalized`, `csv_transcoded_to_utf8`, `csv_unquoted_delimiters_repaired`, `csv_unrepairable_rows`.
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6.2 Cell-level: `smart_punctuation_in_data`, `nbsp_or_unicode_whitespace`, `zero_width_or_invisible`, `dirty_column_headers`, `whitespace_padding`, `null_like_sentinels`, `suspected_mojibake`, `mixed_case_email_column`, `near_duplicate_rows`, `leading_zero_ids`.
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6.3 Encoding integrity: `encoding_uncertain`, `encoding_decode_failed`, `empty_input`.
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6.4 Sample size (default): 1,000 rows; configurable.
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## 7. Finding fields
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7.1 `id` — stable identifier.
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7.2 `severity` — info / warn / error (error blocks gate).
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7.3 `confidence` — high / medium / low (auto-fixability).
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7.4 `fix_action` — id of the algorithm in `src/core/fixes.py`.
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7.5 `pre_applied` — true if fixed during read pass.
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7.6 `tool` — owning tool id (or empty).
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7.7 `count`, `description`, `column`, `samples` (≤5).
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## 8. Confidence tiers
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8.1 **high** — round-trip safe; one-click auto-fix.
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8.2 **medium** — preview before applying.
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8.3 **low** — opt-in only; can corrupt data if wrong.
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8.4 **error** — must resolve or waive before tool pages unlock.
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## 9. Decision actions per finding
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9.1 `auto` — apply the registered fix.
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9.2 `skip` — waive (no change, audit-logged).
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9.3 `modified` — apply with custom payload (e.g. user-edited null sentinels).
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## 10. Performance (1 GB input)
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10.1 Initial scan (`analyze` sample-mode): < 2 s.
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10.2 Peak RSS during initial scan: ~110 MB.
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10.3 Full-file `repair_bytes`: ~30–40 s (when triggered).
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10.4 Full-DataFrame analyze: ~4 min (~25 µs/cell).
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10.5 Full-DataFrame `auto_fix`: ~5 min (~30 µs/cell).
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10.6 Output write: ~10 s for 1 GB UTF-8 CSV.
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10.7 RAM headroom recommended: 4× input file size for the full-Apply path.
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## 11. Tools shipped
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11.1 Deduplicator — Ready.
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11.2 Text Cleaner — Ready.
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11.3 Format Standardizer — Coming Soon.
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11.4 Missing Value Handler — Coming Soon.
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11.5 Column Mapper — Coming Soon.
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11.6 Outlier Detector — Coming Soon.
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11.7 Multi-File Merger — Coming Soon.
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11.8 Validator & Reporter — Coming Soon.
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11.9 Pipeline Runner — Coming Soon.
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## 12. Gate (Review & Normalize)
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12.1 Gates every tool page; tool pages refuse to load until passed.
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12.2 Auto-fix button applies all `confidence=high` findings in one click.
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12.3 Per-finding controls: Auto-fix / Skip / Customize.
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12.4 Live before/after preview per finding (≤5 sample rows).
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12.5 Audit log: every fix tagged with finding id, decision, cells changed.
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12.6 Encoding override picker (16 codepages + custom).
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12.7 Advanced output options expander: encoding + delimiter + line terminator.
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12.8 Result keyed by upload SHA-256; survives page reloads, invalidated on re-upload.
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## 13. Interfaces
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13.1 GUI: Streamlit, runs locally, browser-based, no internet required.
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13.2 CLI: Typer apps — `python -m src.cli`, `src.cli_text_clean`, `src.cli_analyze`.
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13.3 Python API: `from src.core import …` (analyze, repair_bytes, clean_dataframe, deduplicate, etc.).
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13.4 JSON output: `--json` flag on `cli_analyze`; full Finding schema.
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## 14. Platforms
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14.1 Python: ≥ 3.10.
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14.2 OS: Linux, macOS, Windows.
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14.3 Display: any modern browser (Streamlit GUI).
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14.4 Network: not required at runtime.
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## 15. Dependencies
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15.1 Core: pandas, openpyxl, charset-normalizer, typer, loguru.
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15.2 Dedup: rapidfuzz, phonenumbers.
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15.3 GUI: streamlit.
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15.4 Optional: ftfy (mojibake repair, `repair_mojibake` fix).
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15.5 Dev: pytest, tox.
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## 16. Test coverage
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16.1 Unit + integration: 765 tests passing.
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16.2 Documented gaps: 17 xfail (charset-normalizer label drift on byte-equivalent codepages, byte-level smart-quote fold expectation).
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16.3 Fixture corpora: 21 text-cleaner fixtures, 31 encoding fixtures, 9 reference UTF-8 files.
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16.4 CI surface: `python run_tests.py [--tool …] [--fixtures] [--coverage]`.
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## 17. Privacy / data handling
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17.1 All processing local; no network calls in the data path.
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17.2 No telemetry, no usage analytics shipped.
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17.3 Original input file never modified — outputs go to a separate path.
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17.4 Audit logs written to `logs/` next to each run (timestamped).
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