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🎉 New Destination: Implement
Destination Google Sheets
using CDK (#…
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airbyte-integrations/connectors/destination-google-sheets/.dockerignore
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* | ||
!Dockerfile | ||
!main.py | ||
!destination_google_sheets | ||
!setup.py |
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airbyte-integrations/connectors/destination-google-sheets/Dockerfile
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FROM python:3.9-slim | ||
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# Bash is installed for more convenient debugging. | ||
RUN apt-get update && apt-get install -y bash && rm -rf /var/lib/apt/lists/* | ||
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ENV AIRBYTE_ENTRYPOINT "python /airbyte/integration_code/main.py" | ||
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WORKDIR /airbyte/integration_code | ||
COPY destination_google_sheets ./destination_google_sheets | ||
COPY setup.py ./ | ||
COPY main.py ./ | ||
RUN pip install . | ||
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ENTRYPOINT ["python", "/airbyte/integration_code/main.py"] | ||
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LABEL io.airbyte.version=0.1.0 | ||
LABEL io.airbyte.name=airbyte/destination-google-sheets |
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airbyte-integrations/connectors/destination-google-sheets/README.md
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# Google Sheets Destination | ||
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This is the repository for the Google Sheets destination connector, written in Python. | ||
For information about how to use this connector within Airbyte, see [the documentation](https://docs.airbyte.io/integrations/destinations/google-sheets). | ||
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## Local development | ||
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### Prerequisites | ||
**To iterate on this connector, make sure to complete this prerequisites section.** | ||
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#### Minimum Python version required `= 3.9.0` | ||
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#### Build & Activate Virtual Environment and install dependencies | ||
From this connector directory, create a virtual environment: | ||
``` | ||
python -m venv .venv | ||
``` | ||
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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 | ||
``` | ||
If you are in an IDE, follow your IDE's instructions to activate the virtualenv. | ||
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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. | ||
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#### Building via Gradle | ||
From the Airbyte repository root, run: | ||
``` | ||
./gradlew :airbyte-integrations:connectors:destination-google-sheets:build | ||
``` | ||
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#### Create credentials | ||
**If you are a community contributor**, follow the instructions in the [documentation](https://docs.airbyte.io/integrations/destinations/google-sheets) | ||
to generate the necessary credentials. Then create a file `secrets/config_oauth.json` conforming to the `destination_google_sheets/spec.json` file. | ||
Note that the `secrets` directory is gitignored by default, so there is no danger of accidentally checking in sensitive information. | ||
See `integration_tests/sample_config_oauth.json` for a sample config file. | ||
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**If you are an Airbyte core member**, copy the credentials in Lastpass under the secret name `destination google-sheets test creds` | ||
and place them into `secrets/config.json`. | ||
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### Locally running the connector | ||
``` | ||
python main.py spec | ||
python main.py check --config secrets/config_oauth.json | ||
python main.py discover --config secrets/config_oauth.json | ||
cat integration_tests/test_data/messages.txt | python main.py write --config secrets/config_oauth.json --catalog integration_tests/configured_catalog.json | ||
``` | ||
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### Locally running the connector docker image | ||
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#### Build | ||
First, make sure you build the latest Docker image: | ||
``` | ||
docker build . -t airbyte/destination-google-sheets:dev | ||
``` | ||
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You can also build the connector image via Gradle: | ||
``` | ||
./gradlew :airbyte-integrations:connectors:destination-google-sheets:airbyteDocker | ||
``` | ||
When building via Gradle, the docker image name and tag, respectively, are the values of the `io.airbyte.name` and `io.airbyte.version` `LABEL`s in | ||
the Dockerfile. | ||
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#### Run | ||
Then run any of the connector commands as follows: | ||
``` | ||
docker run --rm airbyte/destination-google-sheets:dev spec | ||
docker run --rm -v $(pwd)/secrets:/secrets airbyte/destination-google-sheets:dev check --config /secrets/config_oauth.json | ||
# messages.txt is a file containing line-separated JSON representing AirbyteMessages | ||
cat integration_tests/test_data/messages.txt | docker run --rm -v $(pwd)/secrets:/secrets -v $(pwd)/integration_tests:/integration_tests airbyte/destination-google-sheets:dev write --config /secrets/config_oauth.json --catalog /integration_tests/configured_catalog.json | ||
``` | ||
## Testing | ||
Make sure to familiarize yourself with [pytest test discovery](https://docs.pytest.org/en/latest/goodpractices.html#test-discovery) to know how your test files and methods should be named. | ||
First install test dependencies into your virtual environment: | ||
``` | ||
pip install .[tests] | ||
``` | ||
### Unit Tests | ||
To run unit tests locally, from the connector directory run: | ||
``` | ||
python -m pytest unit_tests | ||
``` | ||
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### Integration Tests | ||
There are two types of integration tests: Acceptance Tests (Airbyte's test suite for all destination connectors) and custom integration tests (which are specific to this connector). | ||
#### Custom Integration tests | ||
Place custom tests inside `integration_tests/` folder, then, from the connector root, run | ||
``` | ||
python -m pytest integration_tests | ||
``` | ||
#### Acceptance Tests | ||
Coming soon: | ||
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### Using gradle to run tests | ||
All commands should be run from airbyte project root. | ||
To run unit tests: | ||
``` | ||
./gradlew :airbyte-integrations:connectors:destination-google-sheets:unitTest | ||
``` | ||
To run acceptance and custom integration tests: | ||
``` | ||
./gradlew :airbyte-integrations:connectors:destination-google-sheets:integrationTest | ||
``` | ||
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## 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 | ||
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### 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 unit and integration tests. | ||
1. Bump the connector version in `Dockerfile` -- just increment the value of the `LABEL io.airbyte.version` appropriately (we use [SemVer](https://semver.org/)). | ||
1. Create a Pull Request. | ||
1. Pat yourself on the back for being an awesome contributor. | ||
1. Someone from Airbyte will take a look at your PR and iterate with you to merge it into master. |
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airbyte-integrations/connectors/destination-google-sheets/build.gradle
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plugins { | ||
id 'airbyte-python' | ||
id 'airbyte-docker' | ||
} | ||
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airbytePython { | ||
moduleDirectory 'destination_google_sheets' | ||
} |
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...e-integrations/connectors/destination-google-sheets/destination_google_sheets/__init__.py
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# | ||
# Copyright (c) 2021 Airbyte, Inc., all rights reserved. | ||
# | ||
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from .destination import DestinationGoogleSheets | ||
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__all__ = ["DestinationGoogleSheets"] |
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...yte-integrations/connectors/destination-google-sheets/destination_google_sheets/buffer.py
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# | ||
# Copyright (c) 2021 Airbyte, Inc., all rights reserved. | ||
# | ||
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from typing import Any, Mapping | ||
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from airbyte_cdk import AirbyteLogger | ||
from airbyte_cdk.models import AirbyteStream | ||
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class WriteBufferMixin: | ||
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# Default instance of AirbyteLogger | ||
logger = AirbyteLogger() | ||
# interval after which the records_buffer should be cleaned up for selected stream | ||
flush_interval = 1000 | ||
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def __init__(self): | ||
# Buffer for input records | ||
self.records_buffer = {} | ||
# Placeholder for streams metadata | ||
self.stream_info = {} | ||
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@property | ||
def default_missing(self) -> str: | ||
""" | ||
Default value for missing keys in record stream, compared to configured_stream catalog. | ||
Overwrite if needed. | ||
""" | ||
return "" | ||
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def init_buffer_stream(self, configured_stream: AirbyteStream): | ||
""" | ||
Saves important stream's information for later use. | ||
Particulary, creates the data structure for `records_stream`. | ||
Populates `stream_info` placeholder with stream metadata information. | ||
""" | ||
stream = configured_stream.stream | ||
self.records_buffer[stream.name] = [] | ||
self.stream_info[stream.name] = { | ||
"headers": sorted(list(stream.json_schema.get("properties").keys())), | ||
"is_set": False, | ||
} | ||
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def add_to_buffer(self, stream_name: str, record: Mapping): | ||
""" | ||
Populates input records to `records_buffer`. | ||
1) normalizes input record | ||
2) coerces normalized record to str | ||
3) gets values as list of record values from record mapping. | ||
""" | ||
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norm_record = self._normalize_record(stream_name, record) | ||
norm_values = list(map(str, norm_record.values())) | ||
self.records_buffer[stream_name].append(norm_values) | ||
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def clear_buffer(self, stream_name: str): | ||
""" | ||
Cleans up the `records_buffer` values, belonging to input stream. | ||
""" | ||
self.records_buffer[stream_name].clear() | ||
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def _normalize_record(self, stream_name: str, record: Mapping) -> Mapping[str, Any]: | ||
""" | ||
Updates the record keys up to the input configured_stream catalog keys. | ||
Handles two scenarios: | ||
1) when record has less keys than catalog declares (undersetting) | ||
2) when record has more keys than catalog declares (oversetting) | ||
Returns: alphabetically sorted, catalog-normalized Mapping[str, Any]. | ||
EXAMPLE: | ||
- UnderSetting: | ||
* Catalog: | ||
- has 3 entities: | ||
[ 'id', 'key1', 'key2' ] | ||
^ | ||
* Input record: | ||
- missing 1 entity, compare to catalog | ||
{ 'id': 123, 'key2': 'value' } | ||
^ | ||
* Result: | ||
- 'key1' has been added to the record, because it was declared in catalog, to keep the data structure. | ||
{'id': 123, 'key1': '', {'key2': 'value'} } | ||
^ | ||
- OverSetting: | ||
* Catalog: | ||
- has 3 entities: | ||
[ 'id', 'key1', 'key2', ] | ||
^ | ||
* Input record: | ||
- doesn't have entity 'key1' | ||
- has 1 more enitity, compare to catalog 'key3' | ||
{ 'id': 123, ,'key2': 'value', 'key3': 'value' } | ||
^ ^ | ||
* Result: | ||
- 'key1' was added, because it expected be the part of the record, to keep the data structure | ||
- 'key3' was dropped, because it was not declared in catalog, to keep the data structure | ||
{ 'id': 123, 'key1': '', 'key2': 'value', } | ||
^ ^ | ||
""" | ||
headers = self.stream_info[stream_name]["headers"] | ||
# undersetting scenario | ||
[record.update({key: self.default_missing}) for key in headers if key not in record.keys()] | ||
# oversetting scenario | ||
[record.pop(key) for key in record.copy().keys() if key not in headers] | ||
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return dict(sorted(record.items(), key=lambda x: x[0])) |
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