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

Project description

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 S3 based storage ensure to provide those envirnoment variables:

  • AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY access key/secret pair
  • AWS_S3_ENDPOINT_URL Custom S3 endpoint such as minio or compatible interface

Example:

AWS_ACCESS_KEY_ID=minioadmin AWS_SECRET_ACCESS_KEY=minioadmin AWS_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.

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