This is a Singer tap that produces JSON-formatted data following the Singer spec.
This tap:
- Pulls raw data from the Amazon Advertising DSP API, Beta
- Extracts Asyncronous Reports:
- Supports report types: Audience, Campaign, Inventory
- Profile: Reports are configured by Entity(Amazon Ads profile id)
- Profiles/entities may be discovered via https://advertising-api.amazon.com/v2/profiles
- A list of entities may be configured
- async_results (download URL)
- Outputs the schema for each resource
- Incrementally pulls data based on the input state
In order to use the Amazon Advertising DSP API the following high-level steps must be completed.
Account setup documentation. This creates the developer account whose credentials will be used later to generate the required refresh token used for the Tap configuration.
Advertising API Application documentation. This application will generate an initial email requesting further information. And finally, an approval email will be received. This email will detail the next steps and is required for the next section, Additional Setup Steps for the DSP API.
Additional steps documentation. This document describes the additional setup steps required to onboard an application for use with the DSP API. Once the approval email is received following the directions and those documented here.
Create API Authorization and Refresh Token, this document describes the steps required to generate the authorization and refresh tokens.
OAuth is the required method of authenticating. The Amazon Advertising API manages permissions using the Login with Amazon service. The API uses authorization and refresh tokens in a standard OAuth 2.0 flow. Further documentation available here.
The refresh token once generated is permanent, but access tokens are short-lived. The tap manages refreshing access tokens throughout the sync lifecycle.
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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-amazon-ads-dsp > pip install .
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Dependent libraries The following dependent libraries were installed.
> pip install singer-python > pip install singer-tools > pip install target-stitch > pip install target-json
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Create your tap's
config.json
file.{ "client_id": "", "client_secret": "", "refresh_token": "", "redirect_uri": "", "start_date": "2020-07-01T00:00:00Z", "user_agent": "tap-amazon-advertising <user@email.com>", "profiles": ["2389773460286997, 3393509102664206"], "attribution_window": "14", "reports": [ { "name": "inventory_report", "type": "inventory" }, { "name": "campaign_report", "type": "campaign", }, { "name": "audience_report", "type": "audience" } ] }
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.{ "bookmarks": { "campaign_report": { "2389773460286997": "20200705", "3393509102664206": "20200705" }, "inventory_report": { "2389773460286997": "20200705", "3393509102664206": "20200705" }, "audience_report": { "2389773460286997": "20200703", "3393509102664206": "20200703" } }, "currently_syncing": "audience_report"
} ```
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Run the Tap in Discovery Mode This creates a catalog.json for selecting objects/fields to integrate:
tap-amazon-ads-dsp --config config.json --discover > catalog.json
See the Singer docs on discovery mode here.
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Run the Tap in Sync Mode (with catalog) and write out to state file
For Sync mode:
> tap-amazon-ads-dsp --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-amazon-ads-dsp --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-amazon-ads-dsp --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
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Test the Tap
While developing the AMAZON-ADVERTISING-DSP tap, the following utilities were run in accordance with Singer.io best practices: Pylint to improve code quality:
> pylint tap_amazon-advertising-dsp -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 9.83/10
To check the tap and verify working:
> tap-amazon-advertising-dsp --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
Check tap resulted in the following:
Checking stdin for valid Singer-formatted data The output is valid. It contained 1225 messages for 3 streams. 3 schema messages 1198 record messages 24 state messages Details by stream: +------------------+---------+---------+ | stream | records | schemas | +------------------+---------+---------+ | inventory_report | 378 | 1 | | audience_report | 788 | 1 | | campaign_report | 32 | 1 | +------------------+---------+---------+
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