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🚨🚨🐛Source Amazon Seller Partner: update schema for GET_FBA_STORAGE_FEE_CHARGES_DATA stream #35439

Merged
merged 12 commits into from
Feb 29, 2024
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# Amazon Seller-Partner Source
# Amazon Seller Partner Source


This is the repository for the Amazon Seller-Partner source connector, written in Python.
For information about how to use this connector within Airbyte, see [the documentation](https://docs.airbyte.io/integrations/sources/amazon-seller-partner).

## Local development

### Prerequisites
**To iterate on this connector, make sure to complete this prerequisites section.**
* Python (~=3.9)
* Poetry (~=1.7) - installation instructions [here](https://python-poetry.org/docs/#installation)

#### Build & Activate Virtual Environment and install dependencies
From this connector directory, create a virtual environment:
```
python -m venv .venv
```

This will generate a virtualenv for this module in `.venv/`. Make sure this venv is active in your
development environment of choice. To activate it from the terminal, run:
```
source .venv/bin/activate
pip install -r requirements.txt
### Installing the connector
From this connector directory, run:
```bash
poetry install --with dev
```
If you are in an IDE, follow your IDE's instructions to activate the virtualenv.

Note that while we are installing dependencies from `requirements.txt`, you should only edit `setup.py` for your dependencies. `requirements.txt` is
used for editable installs (`pip install -e`) to pull in Python dependencies from the monorepo and will call `setup.py`.
If this is mumbo jumbo to you, don't worry about it, just put your deps in `setup.py` but install using `pip install -r requirements.txt` and everything
should work as you expect.

#### Create credentials
**If you are a community contributor**, follow the instructions in the [documentation](https://docs.airbyte.io/integrations/sources/amazon-seller-partner)
to generate the necessary credentials. Then create a file `secrets/config.json` conforming to the `source_amazon_seller-partner/integration_tests/spec.json` file.
Note that the `secrets` directory is gitignored by default, so there is no danger of accidentally checking in sensitive information.
### Create credentials
**If you are a community contributor**, follow the instructions in the [documentation](https://docs.airbyte.com/integrations/sources/amazon-seller-partner)
to generate the necessary credentials. Then create a file `secrets/config.json` conforming to the `source_amazon_seller_partner/spec.json` file.
Note that any directory named `secrets` is gitignored across the entire Airbyte repo, so there is no danger of accidentally checking in sensitive information.
See `integration_tests/sample_config.json` for a sample config file.

**If you are an Airbyte core member**, copy the credentials in Lastpass under the secret name `source amazon-seller-partner test creds`
and place them into `secrets/config.json`.

### Locally running the connector
```
python main.py spec
python main.py check --config secrets/config.json
python main.py discover --config secrets/config.json
python main.py read --config secrets/config.json --catalog integration_tests/configured_catalog.json
poetry run source-amazon-seller-partner spec
poetry run source-amazon-seller-partner check --config secrets/config.json
poetry run source-amazon-seller-partner discover --config secrets/config.json
poetry run source-amazon-seller-partner read --config secrets/config.json --catalog integration_tests/configured_catalog.json
```

### Locally running the connector docker image

### Running unit tests
To run unit tests locally, from the connector directory run:
```
poetry run pytest unit_tests
```

#### Build
**Via [`airbyte-ci`](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md) (recommended):**
### Building the docker image
1. Install [`airbyte-ci`](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md)
2. Run the following command to build the docker image:
```bash
airbyte-ci connectors --name=source-amazon-seller-partner build
```

An image will be built with the tag `airbyte/source-amazon-seller-partner:dev`.
An image will be available on your host with the tag `airbyte/source-amazon-seller-partner:dev`.

**Via `docker build`:**
```bash
docker build -t airbyte/source-amazon-seller-partner:dev .
```

#### Run
### Running as a docker container
Then run any of the connector commands as follows:
```
docker run --rm airbyte/source-amazon-seller-partner:dev spec
Expand All @@ -69,29 +58,34 @@ docker run --rm -v $(pwd)/secrets:/secrets airbyte/source-amazon-seller-partner:
docker run --rm -v $(pwd)/secrets:/secrets -v $(pwd)/integration_tests:/integration_tests airbyte/source-amazon-seller-partner:dev read --config /secrets/config.json --catalog /integration_tests/configured_catalog.json
```

## Testing
### Running our CI test suite
You can run our full test suite locally using [`airbyte-ci`](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md):
```bash
airbyte-ci connectors --name=source-amazon-seller-partner test
```

### Customizing acceptance Tests
Customize `acceptance-test-config.yml` file to configure tests. See [Connector Acceptance Tests](https://docs.airbyte.com/connector-development/testing-connectors/connector-acceptance-tests-reference) for more information.
Customize `acceptance-test-config.yml` file to configure acceptance tests. See [Connector Acceptance Tests](https://docs.airbyte.com/connector-development/testing-connectors/connector-acceptance-tests-reference) for more information.
If your connector requires to create or destroy resources for use during acceptance tests create fixtures for it and place them inside integration_tests/acceptance.py.

## Dependency Management
All of your dependencies should go in `setup.py`, NOT `requirements.txt`. The requirements file is only used to connect internal Airbyte dependencies in the monorepo for local development.
We split dependencies between two groups, dependencies that are:
* required for your connector to work need to go to `MAIN_REQUIREMENTS` list.
* required for the testing need to go to `TEST_REQUIREMENTS` list
### Dependency Management
All of your dependencies should be managed via Poetry.
To add a new dependency, run:
```bash
poetry add <package-name>
```

Please commit the changes to `pyproject.toml` and `poetry.lock` files.

### Publishing a new version of the connector
## Publishing a new version of the connector
You've checked out the repo, implemented a million dollar feature, and you're ready to share your changes with the world. Now what?
1. Make sure your changes are passing our test suite: `airbyte-ci connectors --name=source-amazon-seller-partner test`
2. Bump the connector version in `metadata.yaml`: increment the `dockerImageTag` value. Please follow [semantic versioning for connectors](https://docs.airbyte.com/contributing-to-airbyte/resources/pull-requests-handbook/#semantic-versioning-for-connectors).
2. Bump the connector version (please follow [semantic versioning for connectors](https://docs.airbyte.com/contributing-to-airbyte/resources/pull-requests-handbook/#semantic-versioning-for-connectors)):
- bump the `dockerImageTag` value in in `metadata.yaml`
- bump the `version` value in `pyproject.toml`
3. Make sure the `metadata.yaml` content is up to date.
4. Make the connector documentation and its changelog is up to date (`docs/integrations/sources/amazon-seller-partner.md`).
4. Make sure the connector documentation and its changelog is up to date (`docs/integrations/sources/amazon-seller-partner.md`).
5. Create a Pull Request: use [our PR naming conventions](https://docs.airbyte.com/contributing-to-airbyte/resources/pull-requests-handbook/#pull-request-title-convention).
6. Pat yourself on the back for being an awesome contributor.
7. Someone from Airbyte will take a look at your PR and iterate with you to merge it into master.

8. Once your PR is merged, the new version of the connector will be automatically published to Docker Hub and our connector registry.
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ data:
connectorSubtype: api
connectorType: source
definitionId: e55879a8-0ef8-4557-abcf-ab34c53ec460
dockerImageTag: 3.5.0
dockerImageTag: 4.0.0
dockerRepository: airbyte/source-amazon-seller-partner
documentationUrl: https://docs.airbyte.com/integrations/sources/amazon-seller-partner
githubIssueLabel: source-amazon-seller-partner
Expand Down Expand Up @@ -45,11 +45,16 @@ data:
upgradeDeadline: "2023-12-11"
3.0.0:
message:
Streams 'GET_FLAT_FILE_ALL_ORDERS_DATA_BY_ORDER_DATE_GENERAL' and 'GET_FLAT_FILE_ALL_ORDERS_DATA_BY_LAST_UPDATE_GENERAL' now have updated schemas.
Streams 'GET_AMAZON_FULFILLED_SHIPMENTS_DATA_GENERAL', 'GET_LEDGER_DETAIL_VIEW_DATA', 'GET_MERCHANTS_LISTINGS_FYP_REPORT',
'GET_STRANDED_INVENTORY_UI_DATA', and 'GET_V2_SETTLEMENT_REPORT_DATA_FLAT_FILE' now have date-time formatted fields.
Streams `GET_FLAT_FILE_ALL_ORDERS_DATA_BY_ORDER_DATE_GENERAL` and `GET_FLAT_FILE_ALL_ORDERS_DATA_BY_LAST_UPDATE_GENERAL` now have updated schemas.
Streams `GET_AMAZON_FULFILLED_SHIPMENTS_DATA_GENERAL`, `GET_LEDGER_DETAIL_VIEW_DATA`, `GET_MERCHANTS_LISTINGS_FYP_REPORT`,
`GET_STRANDED_INVENTORY_UI_DATA`, and `GET_V2_SETTLEMENT_REPORT_DATA_FLAT_FILE` now have date-time formatted fields.
Users will need to refresh the source schemas and reset these streams after upgrading.
upgradeDeadline: "2024-01-12"
4.0.0:
message:
Stream `GET_FBA_STORAGE_FEE_CHARGES_DATA` schema has been updated to match Amazon Seller Partner.
Users will need to refresh the source schema and reset this stream after upgrading.
upgradeDeadline: "2024-03-11"
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Does this autolink to the migration guide?

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No. Do you have an example of how this should look like?

supportLevel: community
tags:
- language:python
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