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tap-delighted

This is a Singer tap that produces JSON-formatted data following the Singer spec.

This tap:

Streams

people

  • Primary keys: id
  • Replication strategy: INCREMENTAL

survey_responses

  • Primary keys: id
  • Replication strategy: INCREMENTAL

metrics

  • Primary keys: []
  • Replication strategy: FULL_TABLE

unsubscribes

  • Primary keys: person_id
  • Replication strategy: INCREMENTAL

bounces

  • Primary keys: person_id
  • Replication strategy: INCREMENTAL

email_autopilot

  • Primary keys: ["person_id", "next_survey_request_id"]
  • Replication strategy: INCREMENTAL

sms_autopilot

  • Primary keys: ["person_id", "next_survey_request_id"]
  • Replication strategy: INCREMENTAL

Authentication

Quick Start

  1. Install

    Clone this repository, and then install using setup.py. We recommend using a virtualenv:

    > virtualenv -p python3 venv
    > source venv/bin/activate
    > python setup.py install
    OR
    > cd .../tap-delighted
    > pip install -e .
  2. Dependent libraries. The following dependent libraries were installed.

    > pip install singer-python
    > pip install target-stitch
    > pip install target-json
    
  3. Create your tap's config.json file. The tap config file for this tap should include these entries:

    • api_key - The API key from your delighted account
    • start_date - The default value to use if no bookmark exists for an endpoint (rfc3339 date string)
    {
        "api_key": "your_api_key_here",
        "start_date": "2019-01-01T00:00:00Z"
    }

    Optionally, also create a state.json file. currently_syncing is an optional attribute used for identifying the last object to be synced in case the job is interrupted mid-stream. The next run would begin where the last job left off.

    {
        "currently_syncing": "dummy_stream1",
        "bookmarks": {
            "dummy_stream1": "2019-09-27T22:34:39.000000Z",
            "dummy_stream2": "2019-09-28T15:30:26.000000Z",
            "dummy_stream3": "2019-09-28T18:23:53Z"
        }
    }
  4. Run the Tap in Discovery Mode This creates a catalog.json for selecting objects/fields to integrate:

    tap-delighted --config config.json --discover > catalog.json

    See the Singer docs on discovery mode here.

  5. Run the Tap in Sync Mode (with catalog) and write out to state file

    For Sync mode:

    > tap-delighted --config tap_config.json --catalog catalog.json > state.json
    > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json

    To load to json files to verify outputs:

    > tap-delighted --config tap_config.json --catalog catalog.json | target-json > state.json
    > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json

    To pseudo-load to Stitch Import API with dry run:

    > tap-delighted --config tap_config.json --catalog catalog.json | target-stitch --config target_config.json --dry-run > state.json
    > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json
  6. Test the Tap While developing the delighted tap, the following utilities were run in accordance with Singer.io best practices: Pylint to improve code quality:

    > pylint tap_delighted -d missing-docstring -d logging-format-interpolation -d too-many-locals -d too-many-arguments

    Pylint test resulted in the following score:

    Your code has been rated at 9.67/10

    To check the tap and verify working:

    > tap_delighted --config tap_config.json --catalog catalog.json | singer-check-tap > state.json
    > tail -1 state.json > state.json.tmp && mv state.json.tmp state.json

    Unit Tests

    Unit tests may be run with the following.

    python -m pytest --verbose
    

    Note, you may need to install test dependencies.

    pip install -e .'[dev]'
    

Copyright © 2019 Stitch

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