tap-spreadsheets 1.1.2

Singer tap for spreadsheets, built with the Meltano Singer SDK.

tap-spreadsheets

tap-spreadsheets is a Singer tap for spreadsheets.

Built with the Meltano Tap SDK for Singer Taps.

Capabilities

• catalog
• state
• discover
• activate-version
• about
• stream-maps
• schema-flattening
• batch

Supported Python Versions

• 3.10
• 3.11
• 3.12
• 3.13
• 3.14

Settings

Setting	Required	Default	Description
files	True	None	List of file configurations.
stream_maps	False	None	Config object for stream maps capability. For more information check out Stream Maps.
stream_maps.else	False	None	Currently, only setting this to __NULL__ is supported. This will remove all other streams.
stream_map_config	False	None	User-defined config values to be used within map expressions.
faker_config	False	None	Config for the Faker instance variable fake used within map expressions. Only applicable if the plugin specifies faker as an additional dependency (through the singer-sdk faker extra or directly).
faker_config.seed	False	None	Value to seed the Faker generator for deterministic output: https://faker.readthedocs.io/en/master/#seeding-the-generator
faker_config.locale	False	None	One or more LCID locale strings to produce localized output for: https://faker.readthedocs.io/en/master/#localization
flattening_enabled	False	None	'True' to enable schema flattening and automatically expand nested properties.
flattening_max_depth	False	None	The max depth to flatten schemas.
batch_config	False	None	Configuration for BATCH message capabilities.
batch_config.encoding	False	None	Specifies the format and compression of the batch files.
batch_config.encoding.format	False	None	Format to use for batch files.
batch_config.encoding.compression	False	None	Compression format to use for batch files.
batch_config.storage	False	None	Defines the storage layer to use when writing batch files
batch_config.storage.root	False	None	Root path to use when writing batch files.
batch_config.storage.prefix	False	None	Prefix to use when writing batch files.

A full list of supported settings and capabilities is available by running: tap-spreadsheets --about

Configuration

Accepted Config Options

files (array) List of file configurations. Each entry is an object with keys:

• path (string, required): Glob expression (local or S3).
• format (string): 'excel' or 'csv'.
• worksheet (string, required for type excel): Worksheet index, name or regular expression (Excel only). Using regular expressions, any matching worksheet will be processed.
• table_name (string): Optional stream name (defaults to file name).
• primary_keys (array): List of PK column names.
• drop_empty (boolean): Drop rows with empty/null PKs.
• skip_columns (integer): Number of leading columns to skip.
• skip_rows (integer): Rows to skip before headers.
• sample_rows (integer): Rows to sample for schema inference.
• column_headers (array): Explicit column headers.
• delimiter (string): CSV delimiter. Inferred if not provided or default to ",".
• quotechar (string): CSV quote char. Inferred if not provided or default '"'.
• schema_overrides (dict): Overrrides JSON schema definition per field. Eg. schema_overrides: { my_column_name: { type: [string, "null"] } }

Example

      config:
        files:
          - path: data/*.xlsx
            format: excel
            # table_name: test_sheet1
            primary_keys: [date]
            drop_empty: true
            worksheet: Sheet1

          - path: data/*.xlsx
            format: excel
            worksheet: "Report 20[0-9]{2}"
            table_name: my_xlsx_sheet2
            primary_keys: [date, total]
            drop_empty: true
            skip_columns: 1
            skip_rows: 4

          - path: s3://my-bucket/reports/*.csv
            format: csv
            table_name: csv_reports
            primary_keys: [id]
            delimiter: ";"
            quotechar: "'"

To use an S3-based storage ensure to provide those envirnoment variables:

• S3_ACCESS_KEY_ID, S3_SECRET_ACCESS_KEY access key/secret pair
• S3_ENDPOINT_URL Custom S3 endpoint such as minio or compatible interface

Example:

S3_ACCESS_KEY_ID=minioadmin S3_SECRET_ACCESS_KEY=minioadmin S3_ENDPOINT_URL=http://localhost:19000 meltano run tap-spreadsheets target-jsonl

A full list of supported settings and capabilities for this tap is available by running:

tap-spreadsheets --about

Configure using environment variables

This Singer tap will automatically import any environment variables within the working directory's .env if the --config=ENV is provided, such that config values will be considered if a matching environment variable is set either in the terminal context or in the .env file.

Installation

Install from PyPI:

Install from GitHub:

uv tool install git+https://github.com/ORG_NAME/tap-spreadsheets.git@main

Usage

You can easily run tap-spreadsheets by itself or in a pipeline using Meltano.

Executing the Tap Directly

tap-spreadsheets --version
tap-spreadsheets --help
tap-spreadsheets --config CONFIG --discover > ./catalog.json

Developer Resources

Follow these instructions to contribute to this project.

Initialize your Development Environment

Prerequisites:

• Python 3.10+
• uv

uv sync

Create and Run Tests

Create tests within the tests subfolder and then run:

uv run pytest

You can also test the tap-spreadsheets CLI interface directly using uv run:

uv run tap-spreadsheets --help

Testing with Meltano

Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.

Next, install Meltano (if you haven't already) and any needed plugins:

# Install meltano
uv tool install meltano
# Initialize meltano within this directory
cd tap-spreadsheets
meltano install

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-spreadsheets --version

# OR run a test ELT pipeline:
meltano run tap-spreadsheets target-jsonl

SDK Dev Guide

See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.