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What is SmartTableInvoice Mode?

Purpose

A mode that reads metadata from table files (Excel/CSV/TSV) and automatically generates an invoice.json file.

Features

  • Multi-format support: reads Excel (.xlsx), CSV, and TSV files
  • Two-row header format: row 1 for display names, row 2 for mapping keys
  • Automatic metadata mapping: generates structured data using the basic/, custom/, and sample/ prefixes
  • ZIP integration: automatically associates a ZIP that contains data files with the table file

When to Use

  • When you want to register multiple data items by linking multiple files

How to Configure

No changes to the configuration file are required. However, you must place Excel/CSV/TSV files whose names begin with the smarttable_ prefix in the input data.

  • smarttable_tabledata.xlsx
  • smarttable_imagedata.csv
  • smarttable_20250101.tsv

Table Data Format

Overview

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# Row 1: Display names (user-facing descriptions)
データ名,入力ファイル1,サイクル,厚さ,温度,試料名,試料ID,一般項目

# Row 2: Mapping keys (used in actual processing)
basic/dataName,inputdata1,custom/cycle,custom/thickness,custom/temperature,sample/names,sample/sampleId,sample/generalAttributes.3adf9874-7bcb-e5f8-99cb-3d6fd9d7b55e

# Row 3 and onward: Data
実験1,file1.txt,1,2mm,25,sample001,S001,value1
実験2,file2.txt,2,3mm,30,sample002,S002,value2

smarttable_excel_sample

Row 1: Display Names (User-Facing Descriptions)

This row is not used for data registration; it is for making the table easier to understand when managing it.

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データ名,入力ファイル1,サイクル,厚さ,温度,試料名,試料ID,一般項目

Row 2: Mapping Keys

Metadata Mapping and Expansion

This row is read and automatically mapped to invoice.json and metadata. The mapping rules are as follows:

  • basic/<key in invoice.json>: mapped to the basic section of invoice.json.
  • custom/<key in invoice.json>: mapped to the custom section of invoice.json.
  • sample/<key in invoice.json>: mapped to the sample section of invoice.json.
  • sample/generalAttributes.<termId>: mapped to the value of the matching termId in the generalAttributes array.
  • sample/specificAttributes.<classId>.<termId>: mapped to the value of the matching classId and termId in the specificAttributes array.
  • inputdataX: specifies a file path inside the ZIP file (X = 1, 2, 3, …).

Currently, table data is automatically expanded only into invoice.json. Other data is exposed so it can be used by the structured processing.

About Input File Handling

The key inputdata[number] is for entering the file paths you want to include in a single data tile. Specify paths inside the ZIP file.

  • For example, if you put data1/file1.txt in inputdata1, file1.txt must exist inside the ZIP file.
  • If you put data1/file1.txt in inputdata1 and data1/file2.txt in inputdata2, they will be grouped so that both files can be read within the structured processing.

Row 3 and Onward

Enter the actual data to register. Each row is registered as one data tile.

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実験1,file1.txt,1,2mm,25,sample001,S001,value1
実験2,file2.txt,2,3mm,30,sample002,S002,value2

File Extensions

The table data file must have one of the following extensions: .csv, .xlsx, or .tsv.

About the Input Files

SmartTableInvoice mode requires specific input files: an Excel/CSV/TSV file containing the table data and a ZIP file containing the related data files.

  • smarttable_imagedata.csv
  • inputdata.zip

Directory Structure

Place the Excel file and the ZIP file in the inputdata directory.

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data/
├── inputdata/
│   ├── inputdata.zip
│   └── smarttable_imagedata.csv
├── invoice/
├── tasksupport/

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data/
├── inputdata/
│   ├── smarttable_imagedata.csv
│   └── inputdata.zip
├── invoice/
├── tasksupport/
├── divided/
│   ├── 0001/
│   │   ├── invoice/
│   │   │   └── invoice.json  # generated from smarttable row 1
│   │   ├── raw/
│   │   │   ├── file1.txt
│   │   │   └── file2.txt
│   │   └── (other standard folders)
│   └── 0002/
│       ├── invoice/
│       │   └── invoice.json  # generated from smarttable row 2
│       └── (other standard folders)
└── temp/
    ├── fsmarttable_experiment_0001.csv
    └── fsmarttable_experiment_0002.csv

Retrieving a Single Row of Table Data in Structured Processing

If you define the structured processing as shown below, you can obtain the CSV path from RdeOutputResourcePath.rawfiles. In the example directory structure above, this would be temp/fsmarttable_experiment_0001.csv, etc.

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def custom_module(srcpaths: RdeInputDirPaths, resource_paths: RdeOutputResourcePath) -> None:
    """Execute structured text processing, metadata extraction, and visualization.

    It handles structured text processing, metadata extraction, and graphing.
    Other processing required for structuring may be implemented as needed.

    Args:
        srcpaths (RdeInputDirPaths): Paths to input resources for processing.
        resource_paths (RdeOutputResourcePath): Paths to output resources for saving results.

    Returns:
        None

    Note:
        The actual function names and processing details may vary depending on the project.
    """
    ...

Registering the Table Data File with RDE

By default, the table data used by SmartTableInvoice mode is --not-- registered in RDE. You can register the table data in RDE by adding the following setting to the rdeconfig.yml configuration file.

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smarttable:
    save_table_file: true