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

Project description

tap-planetscaleapi

tap-planetscaleapi is a Singer tap for PlanetScale API.

Built with the Meltano Tap SDK for Singer Taps.

Installation

Install from PyPi:

pipx install tap-planetscaleapi

Install from GitHub:

pipx install git+https://github.com/reservoir-data/tap-planetscaleapi.git@main

Capabilities

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

Settings

Setting Required Default Description
service_token_id True None The service token ID, visible on the service token page
service_token True None The service token value
stream_maps False None Config object for stream maps capability. For more information check out Stream Maps.
stream_map_config False None User-defined config values to be used within map expressions.
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

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

Supported Python Versions

  • 3.10
  • 3.11
  • 3.12
  • 3.13
  • 3.14

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

tap-planetscaleapi --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.

Source Authentication and Authorization

Usage

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

Executing the Tap Directly

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

Developer Resources

Follow these instructions to contribute to this project.

Initialize your Development Environment

curl -LsSf https://astral.sh/uv/install.sh | sh  # or see https://docs.astral.sh/uv/getting-started/installation/
uv sync

Create and Run Tests

Create tests within the tests subfolder and then run:

uv run pytest

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

uv run tap-planetscaleapi --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
pipx install meltano
# Initialize meltano within this directory
cd tap-planetscaleapi
meltano install

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-planetscaleapi --version
# OR run a test `elt` pipeline:
meltano elt tap-planetscaleapi 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.

Project details


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