Meltano and singer are not usable for us, so this tap has been moved to the archive.

tap-dataai

tap-dataai is a Singer tap for API of the data.ai service. Now it can download such reports as: app-performance.

Built with the Meltano Tap SDK for Singer Taps.

Configuration

Accepted Config Options

Setting	Required	Default	Description
auth_token	True	None	The token to authenticate against the API service
type_report	True	None	Must be product_id or company_id.
type_values	True	None	Ids of the products or companies (comma separated string).
granularity	True	None	The granularity of the report (monthly, weekly, daily).
countries	True	None	Countries in the report (comma separated string).
bundles	True	None	Bundles in the report.
devices	False	all_supported	Devices in the report.
start_date	True	None	The earliest record date to sync
end_date	True	None	The latest record date to sync

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

tap-dataai --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-dataai by itself or in a pipeline using Meltano.

Executing the Tap Directly

tap-dataai --version
tap-dataai --help
tap-dataai --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 tap_dataai/tests subfolder and then run:

poetry run pytest

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

poetry run tap-dataai --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-dataai
meltano install

Now you can test and orchestrate using Meltano:

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