Skip to main content

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/edgarrmondragon/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

  • 3.8
  • 3.9
  • 3.10
  • 3.11
  • 3.12

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

pipx install poetry
poetry install

Create and Run Tests

Create tests within the tests subfolder and then run:

poetry run pytest

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

poetry 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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tap_planetscaleapi-0.2.0.tar.gz (11.5 kB view details)

Uploaded Source

Built Distribution

tap_planetscaleapi-0.2.0-py3-none-any.whl (11.5 kB view details)

Uploaded Python 3

File details

Details for the file tap_planetscaleapi-0.2.0.tar.gz.

File metadata

  • Download URL: tap_planetscaleapi-0.2.0.tar.gz
  • Upload date:
  • Size: 11.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for tap_planetscaleapi-0.2.0.tar.gz
Algorithm Hash digest
SHA256 625cede8b78033198648a50104e77df1cfa0a8338175e089f11703db04f34ee5
MD5 e9d3b8cc8188c1fdc186bd18b834fc2a
BLAKE2b-256 3fb1a97bcdeb08ed152c19a497f61c1d321d9a03c60105da56405fc3ef82831f

See more details on using hashes here.

File details

Details for the file tap_planetscaleapi-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for tap_planetscaleapi-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8156d3e1e4a6818a7a8df2c4f6f94e05bdc464f930f5e8789d5e7d9ece653c55
MD5 0f224950135ca404dcaedc5dcb93df29
BLAKE2b-256 1e7a223d9388455065ea035a0e458850a6ddde8ac9466728c129e915596968bb

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page