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Ordifile

한국어

CI Python 3.11–3.14 Apache-2.0

Batch-convert scientific instrument exports into one clean, ordered and auditable Excel workbook.

Verified today: CSV, TSV, semicolon-delimited TXT, and audited non-macro XLSX using Ordifile's documented schema. Proprietary vendor raw formats are not supported in v0.1.0.

An actual Ordifile CLI conversion of three synthetic files

sample_1.csv   sample_2.tsv   exported_peaks.xlsx
          \          |          /
           ordifile convert ...
                    |
                    v
          Ordifile_Result.xlsx
          ├── Manifest
          ├── Samples
          ├── Peak_Matrix
          ├── Peaks
          ├── Metadata
          └── Import_Log

Install

After the v0.1.0 release appears on PyPI, install the verified package with:

python -m pip install --no-cache-dir ordifile==0.1.0

Before that publication is complete, clone this repository and run python -m pip install . in a new virtual environment. Do not install an unrelated package from another index.

Quick start

python -c "from pathlib import Path; p=Path('ordifile_demo'); p.mkdir(exist_ok=True); [(p / f'sample_{n}.csv').write_text(f'sample_id,retention_time,area,compound\nsample_{n},{n / 10:.1f},{n * 10},demo\n', encoding='utf-8') for n in (1, 2, 10)]"
ordifile convert ordifile_demo --sort filename --output Ordifile_Result.xlsx

This package-independent synthetic example produces:

Input paths: 1
Discovered files: 3
Processed 1/3: success sample_1.csv
Processed 2/3: success sample_2.csv
Processed 3/3: success sample_10.csv
Export started: Ordifile_Result.xlsx
Output ready: Ordifile_Result.xlsx
Status: success
Output: Ordifile_Result.xlsx
Successful files: 3
Files with warnings: 0
Failed files: 0
Duplicate files: 0
Sort requested: filename
Sort used: filename
Sort reason: User requested filename ordering.
Sheets: Manifest, Samples, Peak_Matrix, Peaks, Metadata, Import_Log

The source files remain unchanged. Natural filename ordering keeps sample_2 before sample_10.

The Samples sheet read back from the generated Ordifile workbook

Verified formats

Built-in format Metadata Peaks Signals Status Synthetic fixture
Generic comma-delimited CSV Yes Explicit columns Explicit time + signal rows Verified Yes
Generic tab-delimited TSV Yes Explicit columns Explicit time + signal rows Verified Yes
Generic semicolon-delimited TXT Yes Explicit columns Explicit time + signal rows Verified Yes
Generic non-macro XLSX table Yes Explicit columns Explicit time + signal rows Verified Yes

“Generic” means the first row uses the documented column schema. It does not mean arbitrary vendor exports. An extension is supporting evidence only; Ordifile also checks content and schema. Run ordifile formats to see the adapters installed in the current environment.

CLI

Inspect one file without writing output:

ordifile inspect sample.csv
ordifile inspect exported.xlsx --sheet PeakTable --verbose

Convert files or folders:

ordifile convert sample_1.csv sample_2.tsv --output Ordifile_Result.xlsx
ordifile convert ./exports --recursive --sort acquired_at --include-signals \
  --output Ordifile_Result.xlsx
ordifile convert ./exports --extension .csv --extension .xlsx \
  --sheet-mode sidecar-csv --output Ordifile_Result.xlsx

Important behavior:

  • existing output is not replaced unless --overwrite is present;
  • folder discovery is non-recursive unless --recursive is present;
  • --on-error continue preserves valid files and reports partial success;
  • --on-error stop stops after the first file failure and writes no workbook;
  • --adapter forces one installed adapter; --sheet selects one XLSX worksheet;
  • signals are parsed when present but written only with --include-signals;
  • --verbose adds detection evidence and detailed structured diagnostics.

Exit codes are stable for automation:

Code Meaning
0 Workbook created; no file failed
1 Fatal error or no successful input
2 Usage or configuration error
3 Valid workbook created with one or more failed files
130 Interrupted

Sorting

--sort auto uses acquisition time only when every successful file has a reliable, timezone-aware timestamp. Otherwise it uses a complete sequence number, then natural filename order. Explicit modes are acquired_at, sequence, filename, and input_order. Missing or unreliable values receive a recorded filename fallback.

The effective mode, requested mode, reason, and per-file sort key are written to the workbook.

Workbook layout

Sheet Contents
Manifest Version, UTC generation time, counts, options, sorting, limits, warnings, and sidecars
Samples One row per discovered input, status, relative path, adapter facts, peak count, and SHA-256
Peak_Matrix One row per sample only for explicit compound names; duplicate peaks remain separate
Peaks All explicit peaks in long form without retention-time identity inference
Metadata Unknown fields, invalid raw lexemes, and provenance without invented semantics
Import_Log Every success, warning, failure, duplicate, skipped artifact, sort key, and hash
Signals_<channel> Original uninterpolated x/y values, only when requested and actually parsed

Rows and columns are split into deterministic numbered sheets before Excel limits are reached. Data is never silently truncated. If workbook storage is impractical, --sheet-mode sidecar-csv can create explicit CSV sidecars; the Manifest records each relative path, row count, formula-escape count, and SHA-256.

Python API

The CLI calls the same public API intended for future interfaces:

from ordifile.api import convert, inspect_file, list_formats

inspection = inspect_file("sample.csv")
result = convert(
    ["sample_1.csv", "sample_2.tsv"],
    "Ordifile_Result.xlsx",
    sort="auto",
    include_signals=False,
)

print(result.success_count, result.failure_count, result.sort.effective)

convert() also accepts folders, recursion, extension filters, explicit adapters and XLSX sheets, error policy, overwrite policy, CSV sidecars, and a presentation-neutral progress callback.

Add an adapter

External packages can register a typed adapter through the ordifile.adapters Python entry-point group. Adapters detect and parse; they do not write worksheets or duplicate CLI logic. A new format needs bounded detection, format evidence, structured errors, a redistributable or synthetic fixture, capability-specific tests, and license review.

Start with Adding a format adapter. Installed third-party adapters execute Python code and must be treated as trusted software.

Good first contributions include an additional synthetic delimiter fixture, a clearer error-message test, a documentation translation, or a small adapter proposal backed by an openly redistributable fixture.

Under investigation: YOUNG IN Chromass GC data formats are a required priority candidate for a future proprietary adapter. No compatibility is claimed yet; the work is blocked until completed-file semantics and reproducible FID/TCD fixtures are verified.

Integrity and security boundaries

  • Inputs are opened read-only, SHA-256 is recorded, and content is checked again after parsing.
  • Symbolic links are rejected. Duplicate paths and hard links are recorded instead of parsed twice; equal content hashes alone are not deduplicated.
  • One ordinary parse failure is isolated from other inputs. Successful data can still produce a workbook and the failed file remains visible in Import_Log.
  • Formula-like strings are written as literal text with formula and URL conversion disabled.
  • Values that the verified XLSX writer/reader combination cannot represent exactly are rejected for that file instead of being silently changed.
  • Source identities in XLSX audit cells use a reversible display encoder: unsafe code points become ~uXXXXXX; and a literal ~ is doubled. The Manifest records the policy and affected-file count; input paths, bytes, and hashes remain unchanged.
  • CLI output renders terminal control and bidirectional-format characters as visible, single-line escapes while preserving normal Unicode and Windows paths.
  • XLSX packages pass ZIP, relationship, Content-Type, XML namespace, coordinate, dimension, cell-type, and resource audits before openpyxl reads a selected sheet.
  • Normal conversion is offline and does not upload instrument data.

Limits

  • One input file represents one sample in v0.1.
  • Text input is UTF-8 or UTF-8 with BOM. Delimiters are fixed per adapter; guessing is not supported.
  • Extension filters are normalized to lowercase dotted ASCII before discovery. At most 32 unique filters are accepted; each has at most 32 ASCII characters after the leading dot, and the Manifest form is capped at 1,024 characters.
  • Only exact documented headers are mapped. Units are copied, not converted.
  • Compound identity is never inferred from retention time. RT-tolerance matching and duplicate-compound aggregation are not enabled.
  • XLSX support is limited to an audited transitional, non-macro .xlsx workbook with explicit uppercase row and cell coordinates. Templates, macros, implicit coordinates, and other OOXML variants are rejected.
  • XLSX formula text is preserved, but cached formula results are never treated as measured values.
  • Numeric Excel date-style cells have no timezone and remain unreliable for automatic acquisition-time sorting. An OOXML t="d" ISO timestamp is parsed from its audited raw lexeme; an explicit offset can make that timestamp reliable.
  • OOXML numeric lexemes must use ASCII sign, decimal, and exponent characters without whitespace. A cell type incompatible with its documented field is preserved as raw Metadata with a warning, not converted through Python stringification.
  • Files at or above 256 MiB receive a warning; files above 2 GiB are hashed but not parsed. Delimited inputs and declared XLSX uncompressed content are capped at 512 MiB.
  • The XLSX audit additionally caps 10,000 archive members, 8 MiB control XML parts, 250,000 physical rows, 1,000,000 physical cells, a 250,000 logical row, 5,000,000 projected cells, XML depth 128, and raw cell lexemes at 32,767 characters. Raw formula text is capped at 32,766 because the exported literal includes a leading =.
  • Canonical integers are limited to 1,000 decimal digits; integer source lexemes are limited to 4,096 characters. Excel numbers beyond 15 exact integer digits are written as literal strings and counted.
  • Mandatory audit cells are limited to 32,767 characters. A file that cannot fit its own Samples/Import_Log identity or issue summary is isolated before workbook planning; batch summaries are bounded and report omitted-code counts.
  • The practical workbook cap is 512 sheets and the conservative portable output-path cap is 218 Unicode code points.
  • No proprietary GC raw parser and no GUI are included in v0.1.

These practical bounds are Ordifile safety policies, not claims about every valid Excel file. See the exact generic format contract and the architecture decision.

Development

Ordifile targets Python 3.11–3.14. CI is configured for Linux, Windows, and macOS; use the workflow result as the current compatibility record.

python -m pip install -e ".[dev]"
ruff format --check .
ruff check .
mypy
pytest
python -m build
ordifile --help
pip-audit

See CONTRIBUTING.md, SECURITY.md, the release runbook, GC fixture research, external-fixture policy, and the evidence register. Do not attach proprietary raw files or fixtures without confirmed redistribution permission to a public issue.

Project name and trademarks

Ordifile was selected after a technical collision screen on 2026-08-16. No exact-name record was found in the checked GitHub and package-registry searches at that time, but search absence is not a reservation or legal trademark clearance. See the renaming research. Vendor names, if mentioned in future compatibility notes, remain the property of their owners and do not imply affiliation or endorsement.

YOUNG IN Chromass, ChroZen, YL-Clarity, AUTOCHRO, and related product names are trademarks or product names of their respective owners. Ordifile is not affiliated with or endorsed by YOUNG IN Chromass.

License

Ordifile is licensed under Apache License 2.0. See LICENSE, NOTICE, and THIRD_PARTY_NOTICES.md.

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