From babe351eaf364bd7c2d2464e36b123767d723dbb Mon Sep 17 00:00:00 2001 From: Aaron Steers Date: Wed, 3 Apr 2024 10:29:05 -0700 Subject: [PATCH 01/39] apply auto-scaffold from generator --- .../destination-snowflake-cortex/README.md | 159 ++++++++++++++++++ .../destination_snowflake_cortex/__init__.py | 8 + .../destination.py | 53 ++++++ .../destination_snowflake_cortex/spec.json | 20 +++ .../integration_tests/integration_test.py | 8 + .../destination-snowflake-cortex/main.py | 11 ++ .../metadata.yaml | 30 ++++ .../requirements.txt | 1 + .../destination-snowflake-cortex/setup.py | 25 +++ .../unit_tests/unit_test.py | 7 + 10 files changed, 322 insertions(+) create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/README.md create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/__init__.py create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/main.py create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/requirements.txt create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/setup.py create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/unit_test.py diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/README.md b/airbyte-integrations/connectors/destination-snowflake-cortex/README.md new file mode 100644 index 0000000000000..b402c1716c9ce --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/README.md @@ -0,0 +1,159 @@ +# Snowflake Cortex Destination + +This is the repository for the Snowflake Cortex destination connector, written in Python. +For information about how to use this connector within Airbyte, see [the documentation](https://docs.airbyte.com/integrations/destinations/snowflake-cortex). + +## Local development + +### Prerequisites +**To iterate on this connector, make sure to complete this prerequisites section.** + +#### Minimum Python version required `= 3.9.0` + +#### 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 +``` +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.com/integrations/destinations/snowflake-cortex) +to generate the necessary credentials. Then create a file `secrets/config.json` conforming to the `destination_snowflake_cortex/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.json` for a sample config file. + +**If you are an Airbyte core member**, copy the credentials in Lastpass under the secret name `destination snowflake-cortex 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 +``` + +### Locally running the connector docker image + +#### Use `airbyte-ci` to build your connector +The Airbyte way of building this connector is to use our `airbyte-ci` tool. +You can follow install instructions [here](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md#L1). +Then running the following command will build your connector: + +```bash +airbyte-ci connectors --name destination-snowflake-cortex build +``` +Once the command is done, you will find your connector image in your local docker registry: `airbyte/destination-snowflake-cortex:dev`. + +##### Customizing our build process +When contributing on our connector you might need to customize the build process to add a system dependency or set an env var. +You can customize our build process by adding a `build_customization.py` module to your connector. +This module should contain a `pre_connector_install` and `post_connector_install` async function that will mutate the base image and the connector container respectively. +It will be imported at runtime by our build process and the functions will be called if they exist. + +Here is an example of a `build_customization.py` module: +```python +from __future__ import annotations + +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + # Feel free to check the dagger documentation for more information on the Container object and its methods. + # https://dagger-io.readthedocs.io/en/sdk-python-v0.6.4/ + from dagger import Container + + +async def pre_connector_install(base_image_container: Container) -> Container: + return await base_image_container.with_env_variable("MY_PRE_BUILD_ENV_VAR", "my_pre_build_env_var_value") + +async def post_connector_install(connector_container: Container) -> Container: + return await connector_container.with_env_variable("MY_POST_BUILD_ENV_VAR", "my_post_build_env_var_value") +``` + +#### Build your own connector image +This connector is built using our dynamic built process in `airbyte-ci`. +The base image used to build it is defined within the metadata.yaml file under the `connectorBuildOptions`. +The build logic is defined using [Dagger](https://dagger.io/) [here](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/pipelines/builds/python_connectors.py). +It does not rely on a Dockerfile. + +If you would like to patch our connector and build your own a simple approach would be to: + +1. Create your own Dockerfile based on the latest version of the connector image. +```Dockerfile +FROM airbyte/destination-snowflake-cortex:latest + +COPY . ./airbyte/integration_code +RUN pip install ./airbyte/integration_code + +# The entrypoint and default env vars are already set in the base image +# ENV AIRBYTE_ENTRYPOINT "python /airbyte/integration_code/main.py" +# ENTRYPOINT ["python", "/airbyte/integration_code/main.py"] +``` +Please use this as an example. This is not optimized. + +2. Build your image: +```bash +docker build -t airbyte/destination-snowflake-cortex:dev . +# Running the spec command against your patched connector +docker run airbyte/destination-snowflake-cortex:dev spec +```` +#### Run +Then run any of the connector commands as follows: +``` +docker run --rm airbyte/destination-snowflake-cortex:dev spec +docker run --rm -v $(pwd)/secrets:/secrets airbyte/destination-snowflake-cortex:dev check --config /secrets/config.json +# messages.jsonl is a file containing line-separated JSON representing AirbyteMessages +cat messages.jsonl | docker run --rm -v $(pwd)/secrets:/secrets -v $(pwd)/integration_tests:/integration_tests airbyte/destination-snowflake-cortex:dev write --config /secrets/config.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 +``` + +### 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: + +### Using `airbyte-ci` to run tests +See [airbyte-ci documentation](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md#connectors-test-command) + +## 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 + +### 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. diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/__init__.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/__init__.py new file mode 100644 index 0000000000000..c0927b6f841f4 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/__init__.py @@ -0,0 +1,8 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + + +from .destination import DestinationSnowflakeCortex + +__all__ = ["DestinationSnowflakeCortex"] diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py new file mode 100644 index 0000000000000..2428e122cbbc9 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -0,0 +1,53 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + + +from typing import Any, Iterable, Mapping + +from airbyte_cdk import AirbyteLogger +from airbyte_cdk.destinations import Destination +from airbyte_cdk.models import AirbyteConnectionStatus, AirbyteMessage, ConfiguredAirbyteCatalog, Status + + +class DestinationSnowflakeCortex(Destination): + def write( + self, config: Mapping[str, Any], configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] + ) -> Iterable[AirbyteMessage]: + + """ + TODO + Reads the input stream of messages, config, and catalog to write data to the destination. + + This method returns an iterable (typically a generator of AirbyteMessages via yield) containing state messages received + in the input message stream. Outputting a state message means that every AirbyteRecordMessage which came before it has been + successfully persisted to the destination. This is used to ensure fault tolerance in the case that a sync fails before fully completing, + then the source is given the last state message output from this method as the starting point of the next sync. + + :param config: dict of JSON configuration matching the configuration declared in spec.json + :param configured_catalog: The Configured Catalog describing the schema of the data being received and how it should be persisted in the + destination + :param input_messages: The stream of input messages received from the source + :return: Iterable of AirbyteStateMessages wrapped in AirbyteMessage structs + """ + + pass + + def check(self, logger: AirbyteLogger, config: Mapping[str, Any]) -> AirbyteConnectionStatus: + """ + Tests if the input configuration can be used to successfully connect to the destination with the needed permissions + e.g: if a provided API token or password can be used to connect and write to the destination. + + :param logger: Logging object to display debug/info/error to the logs + (logs will not be accessible via airbyte UI if they are not passed to this logger) + :param config: Json object containing the configuration of this destination, content of this json is as specified in + the properties of the spec.json file + + :return: AirbyteConnectionStatus indicating a Success or Failure + """ + try: + # TODO + + return AirbyteConnectionStatus(status=Status.SUCCEEDED) + except Exception as e: + return AirbyteConnectionStatus(status=Status.FAILED, message=f"An exception occurred: {repr(e)}") diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json new file mode 100644 index 0000000000000..520d5aa34ff33 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json @@ -0,0 +1,20 @@ +{ + "documentationUrl": "https://docs.airbyte.com/integrations/destinations/snowflake-cortex", + "supported_destination_sync_modes": [ + "TODO, available options are: 'overwrite', 'append', and 'append_dedup'" + ], + "supportsIncremental": true, + "connectionSpecification": { + "$schema": "http://json-schema.org/draft-07/schema#", + "title": "Destination Snowflake Cortex", + "type": "object", + "required": ["TODO -- fix me!"], + "additionalProperties": false, + "properties": { + "TODO": { + "type": "string", + "description": "FIX ME" + } + } + } +} diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py new file mode 100644 index 0000000000000..d945ab6b09af1 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -0,0 +1,8 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + + +def integration_test(): + # TODO write integration tests + pass diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/main.py b/airbyte-integrations/connectors/destination-snowflake-cortex/main.py new file mode 100644 index 0000000000000..d31a0cad2bae6 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/main.py @@ -0,0 +1,11 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + + +import sys + +from destination_snowflake_cortex import DestinationSnowflakeCortex + +if __name__ == "__main__": + DestinationSnowflakeCortex().run(sys.argv[1:]) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml new file mode 100644 index 0000000000000..ed8ea903d0de2 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml @@ -0,0 +1,30 @@ +data: + allowedHosts: + hosts: + - TODO # Please change to the hostname of the source. + registries: + oss: + enabled: true + cloud: + enabled: false + connectorBuildOptions: + # Please update to the latest version of the connector base image. + # Please use the full address with sha256 hash to guarantee build reproducibility. + # https://hub.docker.com/r/airbyte/python-connector-base + baseImage: docker.io/airbyte/python-connector-base:1.2.0@sha256:c22a9d97464b69d6ef01898edf3f8612dc11614f05a84984451dde195f337db9 + connectorSubtype: database + connectorType: destination + definitionId: d9e5418d-f0f4-4d19-a8b1-5630543638e2 + dockerImageTag: 0.1.0 + dockerRepository: airbyte/destination-snowflake-cortex + githubIssueLabel: destination-snowflake-cortex + icon: snowflake-cortex.svg + license: MIT + name: Snowflake Cortex + releaseDate: TODO + releaseStage: alpha + supportLevel: community + documentationUrl: https://docs.airbyte.com/integrations/destinations/snowflake-cortex + tags: + - language:python +metadataSpecVersion: "1.0" diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/requirements.txt b/airbyte-integrations/connectors/destination-snowflake-cortex/requirements.txt new file mode 100644 index 0000000000000..d6e1198b1ab1f --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/requirements.txt @@ -0,0 +1 @@ +-e . diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/setup.py b/airbyte-integrations/connectors/destination-snowflake-cortex/setup.py new file mode 100644 index 0000000000000..7942a61f81c61 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/setup.py @@ -0,0 +1,25 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + + +from setuptools import find_packages, setup + +MAIN_REQUIREMENTS = [ + "airbyte-cdk", +] + +TEST_REQUIREMENTS = ["pytest"] + +setup( + name="destination_snowflake_cortex", + description="Destination implementation for Snowflake Cortex.", + author="Airbyte", + author_email="contact@airbyte.io", + packages=find_packages(), + install_requires=MAIN_REQUIREMENTS, + package_data={"": ["*.json"]}, + extras_require={ + "tests": TEST_REQUIREMENTS, + }, +) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/unit_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/unit_test.py new file mode 100644 index 0000000000000..219ae0142c724 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/unit_test.py @@ -0,0 +1,7 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + + +def test_example_method(): + assert True From 4bde544984471976f69f83111e303c904ce8caf0 Mon Sep 17 00:00:00 2001 From: Aaron Steers Date: Wed, 3 Apr 2024 10:37:23 -0700 Subject: [PATCH 02/39] update metadata.yml from Pinecone as example --- .../metadata.yaml | 42 +++++++++++++------ 1 file changed, 29 insertions(+), 13 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml index ed8ea903d0de2..4e22860ef1eb6 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml @@ -1,30 +1,46 @@ data: + # TODO: + # ab_internal: + # ql: 300 + # sl: 200 allowedHosts: hosts: - - TODO # Please change to the hostname of the source. - registries: - oss: - enabled: true - cloud: - enabled: false + - "*.snowflakecomputing.com" # TODO: Confirm the correct host(s) + - api.openai.com + - api.cohere.ai + - ${embedding.api_base} connectorBuildOptions: - # Please update to the latest version of the connector base image. - # Please use the full address with sha256 hash to guarantee build reproducibility. - # https://hub.docker.com/r/airbyte/python-connector-base baseImage: docker.io/airbyte/python-connector-base:1.2.0@sha256:c22a9d97464b69d6ef01898edf3f8612dc11614f05a84984451dde195f337db9 - connectorSubtype: database + connectorSubtype: vectorstore connectorType: destination definitionId: d9e5418d-f0f4-4d19-a8b1-5630543638e2 dockerImageTag: 0.1.0 dockerRepository: airbyte/destination-snowflake-cortex + documentationUrl: https://docs.airbyte.com/integrations/destinations/snowflake-cortex githubIssueLabel: destination-snowflake-cortex - icon: snowflake-cortex.svg + icon: snowflake.svg license: MIT name: Snowflake Cortex - releaseDate: TODO + remoteRegistries: + pypi: + enabled: true + packageName: airbyte-destination-snowflake-cortex + registries: + cloud: + enabled: true + oss: + enabled: true + releaseDate: 2024-04-30 # TODO: Confirm the release date releaseStage: alpha + # TODO: Do we need this? If so, what should the values be? + # resourceRequirements: + # jobSpecific: + # - jobType: sync + # resourceRequirements: + # memory_limit: 2Gi + # memory_request: 2Gi supportLevel: community - documentationUrl: https://docs.airbyte.com/integrations/destinations/snowflake-cortex tags: - language:python + - cdk:python metadataSpecVersion: "1.0" From 27fe035485258717c2a9c55e96442fc7401a9fb4 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Wed, 3 Apr 2024 11:16:27 -0700 Subject: [PATCH 03/39] added poetry and docker ignore files --- .../.dockerignore | 6 + .../destination-snowflake-cortex/poetry.lock | 2900 +++++++++++++++++ .../pyproject.toml | 29 + .../requirements.txt | 1 - .../destination-snowflake-cortex/setup.py | 25 - 5 files changed, 2935 insertions(+), 26 deletions(-) create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/.dockerignore create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml delete mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/requirements.txt delete mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/setup.py diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/.dockerignore b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/.dockerignore new file mode 100644 index 0000000000000..843a2b72b1ba7 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/.dockerignore @@ -0,0 +1,6 @@ +* +!Dockerfile +!main.py +!destination_pinecone +!pyproject.toml +!poetry.lock \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock 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"https://github.com/airbytehq/airbyte" + +[[tool.poetry.packages]] +include = "destination_snowflake_cortex" + +[tool.poetry.dependencies] +python = "^3.9,<3.12" +airbyte-cdk = {version = "0.57.0", extras = ["vector-db-based"]} + +[tool.poetry.group.dev.dependencies] +pytest = ">=6.2,<7.0" +ruff = "^0.3.2" +mypy = "^1.9.0" + +[tool.poetry.scripts] +destination-snowflake-cortex = "destination_snowflake_cortex.run:run" \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/requirements.txt b/airbyte-integrations/connectors/destination-snowflake-cortex/requirements.txt deleted file mode 100644 index d6e1198b1ab1f..0000000000000 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/requirements.txt +++ /dev/null @@ -1 +0,0 @@ --e . diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/setup.py b/airbyte-integrations/connectors/destination-snowflake-cortex/setup.py deleted file mode 100644 index 7942a61f81c61..0000000000000 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/setup.py +++ /dev/null @@ -1,25 +0,0 @@ -# -# Copyright (c) 2023 Airbyte, Inc., all rights reserved. -# - - -from setuptools import find_packages, setup - -MAIN_REQUIREMENTS = [ - "airbyte-cdk", -] - -TEST_REQUIREMENTS = ["pytest"] - -setup( - name="destination_snowflake_cortex", - description="Destination implementation for Snowflake Cortex.", - author="Airbyte", - author_email="contact@airbyte.io", - packages=find_packages(), - install_requires=MAIN_REQUIREMENTS, - package_data={"": ["*.json"]}, - extras_require={ - "tests": TEST_REQUIREMENTS, - }, -) From e71f696399d55317d5b57f4f9a89162cd59659a9 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Thu, 4 Apr 2024 16:03:11 -0700 Subject: [PATCH 04/39] add more files --- .../acceptance-test-config.yml | 5 + .../destination-snowflake-cortex/bootstrap.md | 8 + .../destination_snowflake_cortex/config.py | 61 + .../destination.py | 13 +- .../examples/configured_catalog.json | 19 + .../examples/messages.jsonl | 2 + .../destination-snowflake-cortex/poetry.lock | 1444 ++++++++++++++--- .../pyproject.toml | 3 +- .../unit_tests/destination_test.py | 12 + .../unit_tests/unit_test.py | 7 - 10 files changed, 1330 insertions(+), 244 deletions(-) create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/acceptance-test-config.yml create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/bootstrap.md create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/examples/configured_catalog.json create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/examples/messages.jsonl create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py delete mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/unit_test.py diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/acceptance-test-config.yml b/airbyte-integrations/connectors/destination-snowflake-cortex/acceptance-test-config.yml new file mode 100644 index 0000000000000..a784caeba2a8e --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/acceptance-test-config.yml @@ -0,0 +1,5 @@ +acceptance_tests: + spec: + tests: + - spec_path: integration_tests/spec.json +connector_image: airbyte/destination-snowflake-cortex:dev \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/bootstrap.md b/airbyte-integrations/connectors/destination-snowflake-cortex/bootstrap.md new file mode 100644 index 0000000000000..cd6d535124d34 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/bootstrap.md @@ -0,0 +1,8 @@ +# Pinecone Destination Connector Bootstrap + +This destination does three things: +* Split records into chunks and separates metadata from text data +* Embeds text data into an embedding vector +* Stores the metadata and embedding vector in Pinecone + +The record processing is using the text split components from https://python.langchain.com/docs/modules/data_connection/document_transformers/. \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py new file mode 100644 index 0000000000000..bdaeae01cecba --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py @@ -0,0 +1,61 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + +from airbyte_cdk.destinations.vector_db_based.config import VectorDBConfigModel +from pydantic import BaseModel, Field + + +class SnowflakeCortexIndexingModel(BaseModel): + account: str = Field( + ..., + title="Account", + airbyte_secret=True, + description="Enter the account name you want to use to access the database.", + examples=["xxx.us-east-2.aws"] + ) + username: str = Field( + ..., + title="Username", + airbyte_secret=True, + description="Enter the name of the user you want to use to access the database", + examples=["AIRBYTE_USER"] + ) + password: str = Field( + ..., + title="Password", + airbyte_secret=True, + description="Enter the password associated with the user you entered above" + ) + database: str = Field( + ..., + title="Database", + airbyte_secret=True, + description="Enter the name of the database that you want to sync data into", + examples=["AIRBYTE_DATABASE"] + ) + warehouse: str = Field( + ..., + title="Warehouse", + airbyte_secret=True, + description="Enter the name of the warehouse that you want to sync data into", + examples=["AIRBYTE_WAREHOUSE"] + ) + role: str = Field( + ..., + title="Role", + airbyte_secret=True, + description="Enter the name of the role that you want to sync data into", + examples=["AIRBYTE_ROLE", "ACCOUNTADMIN"] + ) + + class Config: + title = "Indexing" + schema_extra = { + "description": "Snowflake cortex comprises database functions tailored for ML and LLM related tasks", + "group": "indexing", + } + + +class ConfigModel(VectorDBConfigModel): + indexing: SnowflakeCortexIndexingModel diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py index 2428e122cbbc9..d3149c494d055 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -7,8 +7,9 @@ from airbyte_cdk import AirbyteLogger from airbyte_cdk.destinations import Destination -from airbyte_cdk.models import AirbyteConnectionStatus, AirbyteMessage, ConfiguredAirbyteCatalog, Status - +from airbyte_cdk.models import AirbyteConnectionStatus, AirbyteMessage, ConfiguredAirbyteCatalog, ConnectorSpecification, Status +from airbyte_cdk.models.airbyte_protocol import DestinationSyncMode +from destination_snowflake_cortex.config import ConfigModel class DestinationSnowflakeCortex(Destination): def write( @@ -51,3 +52,11 @@ def check(self, logger: AirbyteLogger, config: Mapping[str, Any]) -> AirbyteConn return AirbyteConnectionStatus(status=Status.SUCCEEDED) except Exception as e: return AirbyteConnectionStatus(status=Status.FAILED, message=f"An exception occurred: {repr(e)}") + + def spec(self, *args: Any, **kwargs: Any) -> ConnectorSpecification: + return ConnectorSpecification( + documentationUrl="https://docs.airbyte.com/integrations/destinations/snowflake-cortex", + supportsIncremental=True, + supported_destination_sync_modes=[DestinationSyncMode.overwrite, DestinationSyncMode.append, DestinationSyncMode.append_dedup], + connectionSpecification=ConfigModel.schema(), # type: ignore[attr-defined] + ) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/examples/configured_catalog.json b/airbyte-integrations/connectors/destination-snowflake-cortex/examples/configured_catalog.json new file mode 100644 index 0000000000000..71f99b71ddec1 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/examples/configured_catalog.json @@ -0,0 +1,19 @@ +{ + "streams": [ + { + "stream": { + "name": "example_stream", + "json_schema": { + "$schema": "http://json-schema.org/draft-07/schema#", + "type": "object", + "properties": {} + }, + "supported_sync_modes": ["full_refresh", "incremental"], + "source_defined_cursor": false, + "default_cursor_field": ["column_name"] + }, + "sync_mode": "full_refresh", + "destination_sync_mode": "overwrite" + } + ] + } \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/examples/messages.jsonl b/airbyte-integrations/connectors/destination-snowflake-cortex/examples/messages.jsonl new file mode 100644 index 0000000000000..80e15fb36948f --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/examples/messages.jsonl @@ -0,0 +1,2 @@ +{"type": "RECORD", "record": {"stream": "example_stream", "data": { "title": "value1", "field2": "value2" }, "emitted_at": 1625383200000}} +{"type": "RECORD", "record": {"stream": "example_stream", "data": { "title": "value2", "field2": "value2" }, "emitted_at": 1625383200000}} \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock index 06ab089dacd3b..eed2a1d355331 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock +++ 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"cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] +socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] [[package]] name = "wcmatch" @@ -2897,4 +3873,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "^3.9,<3.12" -content-hash = "8e736260ad46b3cf1926ee6795dd7a8f1ca2f670a9558fd9c4558e9ebb52e02b" +content-hash = "79876b2e5ecbbe96b8c58f6fcf6130ffee40118495a94745088271f9adfb2f6d" diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml b/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml index e5deba8875ebb..7d0b349aaaa93 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml @@ -18,7 +18,8 @@ include = "destination_snowflake_cortex" [tool.poetry.dependencies] python = "^3.9,<3.12" -airbyte-cdk = {version = "0.57.0", extras = ["vector-db-based"]} +airbyte-cdk = {version = "^0.73.0", extras = ["vector-db-based"]} +airbyte = "^0.8.0" [tool.poetry.group.dev.dependencies] pytest = ">=6.2,<7.0" diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py new file mode 100644 index 0000000000000..7549ba0436f7f --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py @@ -0,0 +1,12 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + +from airbyte_cdk.models import ConnectorSpecification +from destination_snowflake_cortex.destination import DestinationSnowflakeCortex + +def test_spec(self): + destination = DestinationSnowflakeCortex() + result = destination.spec() + + self.assertIsInstance(result, ConnectorSpecification) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/unit_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/unit_test.py deleted file mode 100644 index 219ae0142c724..0000000000000 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/unit_test.py +++ /dev/null @@ -1,7 +0,0 @@ -# -# Copyright (c) 2023 Airbyte, Inc., all rights reserved. -# - - -def test_example_method(): - assert True From 885ee2be5493a7d837324d8418de1e794579a722 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Mon, 8 Apr 2024 15:41:46 -0700 Subject: [PATCH 05/39] add check method --- .../destination_snowflake_cortex/client.py | 23 +++++++++++++++++++ .../destination_snowflake_cortex/config.py | 12 ++++------ .../destination.py | 19 +++++++++++---- 3 files changed, 41 insertions(+), 13 deletions(-) create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py new file mode 100644 index 0000000000000..8a03d1dbbf7d7 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py @@ -0,0 +1,23 @@ + +from destination_snowflake_cortex.config import SnowflakeCortexConfig +from airbyte.caches import SnowflakeCache + +class SnowflakeCortexClient: + + def __init__(self, config: SnowflakeCortexConfig): + if isinstance(config, dict): + config = SnowflakeCortexConfig.parse_obj(config) + self.account = config.account + self.username = config.username + self.password = config.password + self.database = config.database + self.warehouse = config.warehouse + self.role = config.role + # initialize the destination cache with default schema "airbyte_raw" + self.destination = SnowflakeCache(account=self.account, username=self.username, password=self.password, database=self.database, warehouse=self.warehouse, role=self.role) + + def check(self): + # check database connection by getting the list of tables in the schema + self.destination.processor._get_tables_list() + + \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py index bdaeae01cecba..14f0a102f4c28 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py @@ -2,11 +2,10 @@ # Copyright (c) 2023 Airbyte, Inc., all rights reserved. # -from airbyte_cdk.destinations.vector_db_based.config import VectorDBConfigModel from pydantic import BaseModel, Field -class SnowflakeCortexIndexingModel(BaseModel): +class SnowflakeCortexConfig(BaseModel): account: str = Field( ..., title="Account", @@ -50,12 +49,9 @@ class SnowflakeCortexIndexingModel(BaseModel): ) class Config: - title = "Indexing" + title = "authentication" schema_extra = { - "description": "Snowflake cortex comprises database functions tailored for ML and LLM related tasks", - "group": "indexing", + "description": "Configuration to connect to the Snowflake instance", + "group": "Authentication", } - -class ConfigModel(VectorDBConfigModel): - indexing: SnowflakeCortexIndexingModel diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py index d3149c494d055..4227bdecabe8f 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -9,9 +9,16 @@ from airbyte_cdk.destinations import Destination from airbyte_cdk.models import AirbyteConnectionStatus, AirbyteMessage, ConfiguredAirbyteCatalog, ConnectorSpecification, Status from airbyte_cdk.models.airbyte_protocol import DestinationSyncMode -from destination_snowflake_cortex.config import ConfigModel +from destination_snowflake_cortex.config import SnowflakeCortexConfig +from destination_snowflake_cortex.client import SnowflakeCortexClient + class DestinationSnowflakeCortex(Destination): + client: SnowflakeCortexClient + + def _init_client(self, config: SnowflakeCortexConfig): + self.client = SnowflakeCortexClient(config=config) + def write( self, config: Mapping[str, Any], configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] ) -> Iterable[AirbyteMessage]: @@ -46,17 +53,19 @@ def check(self, logger: AirbyteLogger, config: Mapping[str, Any]) -> AirbyteConn :return: AirbyteConnectionStatus indicating a Success or Failure """ - try: - # TODO - + try: + self._init_client(config) + self.client.check() return AirbyteConnectionStatus(status=Status.SUCCEEDED) except Exception as e: return AirbyteConnectionStatus(status=Status.FAILED, message=f"An exception occurred: {repr(e)}") + + def spec(self, *args: Any, **kwargs: Any) -> ConnectorSpecification: return ConnectorSpecification( documentationUrl="https://docs.airbyte.com/integrations/destinations/snowflake-cortex", supportsIncremental=True, supported_destination_sync_modes=[DestinationSyncMode.overwrite, DestinationSyncMode.append, DestinationSyncMode.append_dedup], - connectionSpecification=ConfigModel.schema(), # type: ignore[attr-defined] + connectionSpecification=SnowflakeCortexConfig.schema(), # type: ignore[attr-defined] ) From 35789ce5fec06fb58585a1278e805952cb78fd2e Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Thu, 11 Apr 2024 17:47:01 -0700 Subject: [PATCH 06/39] add some write logic --- .../destination_snowflake_cortex/client.py | 25 +++++++++++++++--- .../destination_snowflake_cortex/config.py | 24 +++++++++++++++++ .../destination.py | 12 ++++++++- .../destination_snowflake_cortex/writer.py | 26 +++++++++++++++++++ 4 files changed, 82 insertions(+), 5 deletions(-) create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/writer.py diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py index 8a03d1dbbf7d7..1df58bbdf7a67 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py @@ -1,6 +1,10 @@ from destination_snowflake_cortex.config import SnowflakeCortexConfig from airbyte.caches import SnowflakeCache +from airbyte._processors.sql.snowflake import SnowflakeSqlProcessor +from airbyte_cdk.models import AirbyteMessage, ConfiguredAirbyteCatalog +from typing import Iterable +from airbyte.strategies import WriteStrategy class SnowflakeCortexClient: @@ -13,11 +17,24 @@ def __init__(self, config: SnowflakeCortexConfig): self.database = config.database self.warehouse = config.warehouse self.role = config.role - # initialize the destination cache with default schema "airbyte_raw" - self.destination = SnowflakeCache(account=self.account, username=self.username, password=self.password, database=self.database, warehouse=self.warehouse, role=self.role) + cache = SnowflakeCache(account=self.account, username=self.username, password=self.password, database=self.database, warehouse=self.warehouse, role=self.role) + self.processor = SnowflakeSqlProcessor(cache=cache) def check(self): # check database connection by getting the list of tables in the schema - self.destination.processor._get_tables_list() + self.processor._get_tables_list() + + + def write(self, configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] + ) -> Iterable[AirbyteMessage]: + + + # to-do: register all sources in the catalog + self.processor.register_source( + source_name="example_stream", + incoming_source_catalog=configured_catalog, + stream_names=["example_stream"], + ) + self.processor.process_airbyte_messages(input_messages, WriteStrategy.OVERWRITE) + - \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py index 14f0a102f4c28..b6afe627dd31f 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py @@ -2,10 +2,12 @@ # Copyright (c) 2023 Airbyte, Inc., all rights reserved. # +from typing import List, Optional from pydantic import BaseModel, Field class SnowflakeCortexConfig(BaseModel): + # to-do: split the fields into authentication & processing sections account: str = Field( ..., title="Account", @@ -48,6 +50,28 @@ class SnowflakeCortexConfig(BaseModel): examples=["AIRBYTE_ROLE", "ACCOUNTADMIN"] ) + text_fields: Optional[List[str]] = Field( + default=[], + title="Text fields to index with Vectara", + description="List of fields in the record that should be in the section of the document. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.", + always_show=True, + examples=["text", "user.name", "users.*.name"], + ) + title_field: Optional[str] = Field( + default="", + title="Text field to use as document title with Vectara", + description="A field that will be used to populate the `title` of each document. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.", + always_show=True, + examples=["document_key"], + ) + metadata_fields: Optional[List[str]] = Field( + default=[], + title="Fields to store as metadata", + description="List of fields in the record that should be stored as metadata. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered metadata fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. When specifying nested paths, all matching values are flattened into an array set to a field named by the path.", + always_show=True, + examples=["age", "user"], + ) + class Config: title = "authentication" schema_extra = { diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py index 4227bdecabe8f..13f9b57db07a1 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -11,13 +11,20 @@ from airbyte_cdk.models.airbyte_protocol import DestinationSyncMode from destination_snowflake_cortex.config import SnowflakeCortexConfig from destination_snowflake_cortex.client import SnowflakeCortexClient +from destination_snowflake_cortex.writer import SnowflakeCortexWriter +import airbyte as ab +from airbyte import ReadResult, DuckDBCache class DestinationSnowflakeCortex(Destination): client: SnowflakeCortexClient + writer: SnowflakeCortexWriter def _init_client(self, config: SnowflakeCortexConfig): self.client = SnowflakeCortexClient(config=config) + # todo: pass relevant config to the writer + self.writer = SnowflakeCortexWriter(client=self.client) + def write( self, config: Mapping[str, Any], configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] @@ -38,8 +45,11 @@ def write( :param input_messages: The stream of input messages received from the source :return: Iterable of AirbyteStateMessages wrapped in AirbyteMessage structs """ + self._init_client(config) + self.writer.write(configured_catalog, input_messages) + + return input_messages - pass def check(self, logger: AirbyteLogger, config: Mapping[str, Any]) -> AirbyteConnectionStatus: """ diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/writer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/writer.py new file mode 100644 index 0000000000000..d66d372f95f06 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/writer.py @@ -0,0 +1,26 @@ +# +# Copyright (c) 2024 Airbyte, Inc., all rights reserved. +# + +from typing import Any, Dict, List, Mapping, Optional + +from airbyte_cdk.models import ConfiguredAirbyteCatalog, DestinationSyncMode +from airbyte_cdk.models import AirbyteMessage, ConfiguredAirbyteCatalog +from destination_snowflake_cortex.client import SnowflakeCortexClient +from typing import Any, Iterable, Mapping + + + +class SnowflakeCortexWriter: + + def __init__( + self, + client: SnowflakeCortexClient, + ): + self.client = client + + + def write(self, configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage]) -> Iterable[AirbyteMessage]: + # to-do: transfrom the data into documents + # to-do: write the documents to the destination + self.client.write(configured_catalog, input_messages) \ No newline at end of file From 5850dd4dbd7efce0c6834980edbb49aff1deff4d Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Fri, 26 Apr 2024 09:00:38 -0700 Subject: [PATCH 07/39] adding back vector db related stuff --- .../destination_snowflake_cortex/client.py | 40 - .../destination_snowflake_cortex/config.py | 39 +- .../destination.py | 70 +- .../destination_snowflake_cortex/writer.py | 26 - .../integration_tests/integration_test.py | 75 +- .../destination-snowflake-cortex/poetry.lock | 814 +++++++++--------- .../pyproject.toml | 2 +- 7 files changed, 495 insertions(+), 571 deletions(-) delete mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py delete mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/writer.py diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py deleted file mode 100644 index 1df58bbdf7a67..0000000000000 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/client.py +++ /dev/null @@ -1,40 +0,0 @@ - -from destination_snowflake_cortex.config import SnowflakeCortexConfig -from airbyte.caches import SnowflakeCache -from airbyte._processors.sql.snowflake import SnowflakeSqlProcessor -from airbyte_cdk.models import AirbyteMessage, ConfiguredAirbyteCatalog -from typing import Iterable -from airbyte.strategies import WriteStrategy - -class SnowflakeCortexClient: - - def __init__(self, config: SnowflakeCortexConfig): - if isinstance(config, dict): - config = SnowflakeCortexConfig.parse_obj(config) - self.account = config.account - self.username = config.username - self.password = config.password - self.database = config.database - self.warehouse = config.warehouse - self.role = config.role - cache = SnowflakeCache(account=self.account, username=self.username, password=self.password, database=self.database, warehouse=self.warehouse, role=self.role) - self.processor = SnowflakeSqlProcessor(cache=cache) - - def check(self): - # check database connection by getting the list of tables in the schema - self.processor._get_tables_list() - - - def write(self, configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] - ) -> Iterable[AirbyteMessage]: - - - # to-do: register all sources in the catalog - self.processor.register_source( - source_name="example_stream", - incoming_source_catalog=configured_catalog, - stream_names=["example_stream"], - ) - self.processor.process_airbyte_messages(input_messages, WriteStrategy.OVERWRITE) - - diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py index b6afe627dd31f..ebb0ad26807c8 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py @@ -1,13 +1,14 @@ # -# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# Copyright (c) 2024 Airbyte, Inc., all rights reserved. # -from typing import List, Optional + from pydantic import BaseModel, Field +from airbyte_cdk.destinations.vector_db_based.config import VectorDBConfigModel -class SnowflakeCortexConfig(BaseModel): - # to-do: split the fields into authentication & processing sections +# to-do - override the embedding model to use Snowflake supported model +class SnowflakeCortexIndexingModel(BaseModel): account: str = Field( ..., title="Account", @@ -50,32 +51,12 @@ class SnowflakeCortexConfig(BaseModel): examples=["AIRBYTE_ROLE", "ACCOUNTADMIN"] ) - text_fields: Optional[List[str]] = Field( - default=[], - title="Text fields to index with Vectara", - description="List of fields in the record that should be in the section of the document. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.", - always_show=True, - examples=["text", "user.name", "users.*.name"], - ) - title_field: Optional[str] = Field( - default="", - title="Text field to use as document title with Vectara", - description="A field that will be used to populate the `title` of each document. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.", - always_show=True, - examples=["document_key"], - ) - metadata_fields: Optional[List[str]] = Field( - default=[], - title="Fields to store as metadata", - description="List of fields in the record that should be stored as metadata. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered metadata fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. When specifying nested paths, all matching values are flattened into an array set to a field named by the path.", - always_show=True, - examples=["age", "user"], - ) - class Config: - title = "authentication" + title = "Indexing" schema_extra = { - "description": "Configuration to connect to the Snowflake instance", - "group": "Authentication", + "description": "Snowflake can be used to store vector data and retrieve embeddings.", + "group": "indexing", } +class ConfigModel(VectorDBConfigModel): + indexing: SnowflakeCortexIndexingModel diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py index 13f9b57db07a1..249fc47f45cd3 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -9,73 +9,47 @@ from airbyte_cdk.destinations import Destination from airbyte_cdk.models import AirbyteConnectionStatus, AirbyteMessage, ConfiguredAirbyteCatalog, ConnectorSpecification, Status from airbyte_cdk.models.airbyte_protocol import DestinationSyncMode -from destination_snowflake_cortex.config import SnowflakeCortexConfig -from destination_snowflake_cortex.client import SnowflakeCortexClient -from destination_snowflake_cortex.writer import SnowflakeCortexWriter -import airbyte as ab -from airbyte import ReadResult, DuckDBCache +from destination_snowflake_cortex.config import ConfigModel +from airbyte_cdk.destinations.vector_db_based.indexer import Indexer +from airbyte_cdk.destinations.vector_db_based.writer import Writer +from destination_snowflake_cortex.indexer import SnowflakeCortexIndexer +from airbyte_cdk.destinations.vector_db_based.embedder import Embedder, create_from_config +BATCH_SIZE = 32 class DestinationSnowflakeCortex(Destination): - client: SnowflakeCortexClient - writer: SnowflakeCortexWriter + indexer: Indexer + embedder: Embedder - def _init_client(self, config: SnowflakeCortexConfig): - self.client = SnowflakeCortexClient(config=config) - # todo: pass relevant config to the writer - self.writer = SnowflakeCortexWriter(client=self.client) + def _init_indexer(self, config: ConfigModel): + self.embedder = create_from_config(config.embedding, config.processing) + self.indexer = SnowflakeCortexIndexer(config.indexing, self.embedder.embedding_dimensions) - def write( - self, config: Mapping[str, Any], configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] + def write(self, config: Mapping[str, Any], configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] ) -> Iterable[AirbyteMessage]: - - """ - TODO - Reads the input stream of messages, config, and catalog to write data to the destination. - - This method returns an iterable (typically a generator of AirbyteMessages via yield) containing state messages received - in the input message stream. Outputting a state message means that every AirbyteRecordMessage which came before it has been - successfully persisted to the destination. This is used to ensure fault tolerance in the case that a sync fails before fully completing, - then the source is given the last state message output from this method as the starting point of the next sync. - - :param config: dict of JSON configuration matching the configuration declared in spec.json - :param configured_catalog: The Configured Catalog describing the schema of the data being received and how it should be persisted in the - destination - :param input_messages: The stream of input messages received from the source - :return: Iterable of AirbyteStateMessages wrapped in AirbyteMessage structs - """ - self._init_client(config) - self.writer.write(configured_catalog, input_messages) - - return input_messages + parsed_config = ConfigModel.parse_obj(config) + self._init_indexer(parsed_config) + writer = Writer( + parsed_config.processing, self.indexer, self.embedder, batch_size=BATCH_SIZE, omit_raw_text=parsed_config.omit_raw_text + ) + yield from writer.write(configured_catalog, input_messages) def check(self, logger: AirbyteLogger, config: Mapping[str, Any]) -> AirbyteConnectionStatus: - """ - Tests if the input configuration can be used to successfully connect to the destination with the needed permissions - e.g: if a provided API token or password can be used to connect and write to the destination. - - :param logger: Logging object to display debug/info/error to the logs - (logs will not be accessible via airbyte UI if they are not passed to this logger) - :param config: Json object containing the configuration of this destination, content of this json is as specified in - the properties of the spec.json file - - :return: AirbyteConnectionStatus indicating a Success or Failure - """ try: - self._init_client(config) - self.client.check() + parsed_config = ConfigModel.parse_obj(config) + self._init_indexer(parsed_config) + self.indexer.check() return AirbyteConnectionStatus(status=Status.SUCCEEDED) except Exception as e: return AirbyteConnectionStatus(status=Status.FAILED, message=f"An exception occurred: {repr(e)}") - def spec(self, *args: Any, **kwargs: Any) -> ConnectorSpecification: return ConnectorSpecification( documentationUrl="https://docs.airbyte.com/integrations/destinations/snowflake-cortex", supportsIncremental=True, supported_destination_sync_modes=[DestinationSyncMode.overwrite, DestinationSyncMode.append, DestinationSyncMode.append_dedup], - connectionSpecification=SnowflakeCortexConfig.schema(), # type: ignore[attr-defined] + connectionSpecification=ConfigModel.schema(), # type: ignore[attr-defined] ) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/writer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/writer.py deleted file mode 100644 index d66d372f95f06..0000000000000 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/writer.py +++ /dev/null @@ -1,26 +0,0 @@ -# -# Copyright (c) 2024 Airbyte, Inc., all rights reserved. -# - -from typing import Any, Dict, List, Mapping, Optional - -from airbyte_cdk.models import ConfiguredAirbyteCatalog, DestinationSyncMode -from airbyte_cdk.models import AirbyteMessage, ConfiguredAirbyteCatalog -from destination_snowflake_cortex.client import SnowflakeCortexClient -from typing import Any, Iterable, Mapping - - - -class SnowflakeCortexWriter: - - def __init__( - self, - client: SnowflakeCortexClient, - ): - self.client = client - - - def write(self, configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage]) -> Iterable[AirbyteMessage]: - # to-do: transfrom the data into documents - # to-do: write the documents to the destination - self.client.write(configured_catalog, input_messages) \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index d945ab6b09af1..20d202fb0d178 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -2,7 +2,76 @@ # Copyright (c) 2023 Airbyte, Inc., all rights reserved. # +import json +import logging -def integration_test(): - # TODO write integration tests - pass +from airbyte_cdk.destinations.vector_db_based.embedder import OPEN_AI_VECTOR_SIZE +from airbyte_cdk.destinations.vector_db_based.test_utils import BaseIntegrationTest +from airbyte_cdk.models import DestinationSyncMode, Status +from destination_snowflake_cortex.indexer import SnowflakeCortexIndexer +from destination_snowflake_cortex.destination import DestinationSnowflakeCortex + +class SnowflakeCortexIntegrationTest(BaseIntegrationTest): + def _init_snowflake_cortex(self): + #self.snowflake_index = SnowflakeCortexIndexer(self.config["indexing"], 0) + pass + + def setUp(self): + with open("secrets/config.json", "r") as f: + self.config = json.loads(f.read()) + self._init_snowflake_cortex() + + def tearDown(self): + # make sure pinecone is initialized correctly before cleaning up + self._init_snowflake_cortex() + #self.snowflake_index(delete_all=True) + + def test_check_valid_config(self): + outcome = DestinationSnowflakeCortex().check(logging.getLogger("airbyte"), self.config) + assert outcome.status == Status.SUCCEEDED + + def test_check_invalid_config(self): + outcome = DestinationSnowflakeCortex().check( + logging.getLogger("airbyte"), + { + "processing": {"text_fields": ["str_col"], "chunk_size": 1000, "metadata_fields": ["int_col"]}, + "embedding": {"mode": "openai", "openai_key": "mykey"}, + "indexing": { + "account": "myaccount", + "username": "myaccount", + "password": "xxxxxxxxxxxx", + "database": "INTEGRATION_TEST", + "warehouse": "INTEGRATION_TEST_WAREHOUSE", + "role": "ACCOUNTADMIN" + }, + }, + ) + assert outcome.status == Status.FAILED + + def test_write(self): + catalog = self._get_configured_catalog(DestinationSyncMode.overwrite) + first_state_message = self._state({"state": "1"}) + first_record_chunk = [self._record("mystream", f"Dogs are number {i}", i) for i in range(5)] + + # initial sync + destination = DestinationSnowflakeCortex() + list(destination.write(self.config, catalog, [*first_record_chunk, first_state_message])) + #assert self.pinecone_index.describe_index_stats().total_vector_count == 5 + + # incrementally update a doc + #incremental_catalog = self._get_configured_catalog(DestinationSyncMode.append_dedup) + #list(destination.write(self.config, incremental_catalog, [self._record("mystream", "Cats are nice", 2), first_state_message])) + #result = self.pinecone_index.query( + # vector=[0] * OPEN_AI_VECTOR_SIZE, top_k=10, filter={"_ab_record_id": "mystream_2"}, include_metadata=True + #) + #assert len(result.matches) == 1 + #assert ( + # result.matches[0].metadata["text"] == "str_col: Cats are nice" + #), 'Ensure that "str_col" is included in the "text_fields" array under the "processing" section of /secrets/config.json.' + + # test langchain integration + #embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) + #self._init_pinecone() + #vector_store = Pinecone(self.pinecone_index, embeddings.embed_query, "text") + #result = vector_store.similarity_search("feline animals", 1) + #assert result[0].metadata["_ab_record_id"] == "mystream_2" diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock index eed2a1d355331..ca5089cf9c96c 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock @@ -2,87 +2,87 @@ 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a/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml b/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml index 7d0b349aaaa93..3a558aa26ded5 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml @@ -22,7 +22,7 @@ airbyte-cdk = {version = "^0.73.0", extras = ["vector-db-based"]} airbyte = "^0.8.0" [tool.poetry.group.dev.dependencies] -pytest = ">=6.2,<7.0" +pytest = "^7.2" ruff = "^0.3.2" mypy = "^1.9.0" From ed0fd0855dd1ba9d59eba6a995385bd954930516 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Fri, 26 Apr 2024 09:51:52 -0700 Subject: [PATCH 08/39] added missing indexer --- .../destination_snowflake_cortex/indexer.py | 41 ++++++++++++ .../snowflake_cortex_indexer_test.py | 62 +++++++++++++++++++ 2 files changed, 103 insertions(+) create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py new file mode 100644 index 0000000000000..09e7bebcd700a --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -0,0 +1,41 @@ +# +# Copyright (c) 2024 Airbyte, Inc., all rights reserved. +# + +from typing import Optional + +from airbyte_cdk.destinations.vector_db_based.document_processor import METADATA_RECORD_ID_FIELD, METADATA_STREAM_FIELD +from airbyte_cdk.destinations.vector_db_based.indexer import Indexer +from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel + +from airbyte.caches import SnowflakeCache +from airbyte._processors.sql.snowflake import SnowflakeSqlProcessor + + +class SnowflakeCortexIndexer(Indexer): + config: SnowflakeCortexIndexingModel + + def __init__(self, config: SnowflakeCortexIndexingModel, embedding_dimensions: int): + super().__init__(config) + self.account = config.account + self.username = config.username + self.password = config.password + self.database = config.database + self.warehouse = config.warehouse + self.role = config.role + cache = SnowflakeCache(account=self.account, username=self.username, password=self.password, database=self.database, warehouse=self.warehouse, role=self.role) + self.processor = SnowflakeSqlProcessor(cache=cache) + self.embedding_dimensions = embedding_dimensions + + + def index(self, document_chunks, namespace, stream): + # to be implemented + pass + + def delete(self, delete_ids, namespace, stream): + # to be implemented + pass + + def check(self) -> Optional[str]: + # check database connection by getting the list of tables in the schema + self.processor._get_tables_list() diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py new file mode 100644 index 0000000000000..4a1b27c7dac17 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py @@ -0,0 +1,62 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + +from unittest.mock import ANY, MagicMock, Mock, call, patch + +import pytest +import urllib3 +from airbyte_cdk.models import ConfiguredAirbyteCatalog +from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel +from destination_snowflake_cortex.indexer import SnowflakeCortexIndexer + +def create_snowflake_cortex_indexer(): + config = SnowflakeCortexIndexingModel(mode="pinecone", pinecone_environment="myenv", pinecone_key="mykey", index="myindex") + indexer = SnowflakeCortexIndexer(config, 3) + return indexer + + +def snowflake_cortex_indexer_test(): + pass + + + +def generate_catalog(): + return ConfiguredAirbyteCatalog.parse_obj( + { + "streams": [ + { + "stream": { + "name": "example_stream", + "json_schema": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {}}, + "supported_sync_modes": ["full_refresh", "incremental"], + "source_defined_cursor": False, + "default_cursor_field": ["column_name"], + "namespace": "ns1", + }, + "primary_key": [["id"]], + "sync_mode": "incremental", + "destination_sync_mode": "append_dedup", + }, + { + "stream": { + "name": "example_stream2", + "json_schema": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {}}, + "supported_sync_modes": ["full_refresh", "incremental"], + "source_defined_cursor": False, + "default_cursor_field": ["column_name"], + "namespace": "ns2", + }, + "primary_key": [["id"]], + "sync_mode": "full_refresh", + "destination_sync_mode": "overwrite", + }, + ] + } + ) + + + + + + From af5a7e9fa2aefc2d1b1953035eb03b7de2b0206c Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Fri, 26 Apr 2024 13:15:22 -0700 Subject: [PATCH 09/39] added unit tests --- .../destination.py | 4 +- .../destination_snowflake_cortex/indexer.py | 39 +++++++++- .../integration_tests/integration_test.py | 1 - .../unit_tests/destination_test.py | 10 +-- .../snowflake_cortex_indexer_test.py | 77 ++++++++----------- 5 files changed, 77 insertions(+), 54 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py index 249fc47f45cd3..273dc26efc69d 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -21,9 +21,9 @@ class DestinationSnowflakeCortex(Destination): indexer: Indexer embedder: Embedder - def _init_indexer(self, config: ConfigModel): + def _init_indexer(self, config: ConfigModel, configured_catalog: ConfiguredAirbyteCatalog): self.embedder = create_from_config(config.embedding, config.processing) - self.indexer = SnowflakeCortexIndexer(config.indexing, self.embedder.embedding_dimensions) + self.indexer = SnowflakeCortexIndexer(config.indexing, self.embedder.embedding_dimensions, configured_catalog) def write(self, config: Mapping[str, Any], configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 09e7bebcd700a..e08bf463c4281 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -7,15 +7,22 @@ from airbyte_cdk.destinations.vector_db_based.document_processor import METADATA_RECORD_ID_FIELD, METADATA_STREAM_FIELD from airbyte_cdk.destinations.vector_db_based.indexer import Indexer from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel +from airbyte_cdk.models import AirbyteMessage, ConfiguredAirbyteCatalog from airbyte.caches import SnowflakeCache from airbyte._processors.sql.snowflake import SnowflakeSqlProcessor +from typing import Iterable + +from airbyte_cdk.models import ( + AirbyteMessage, + ConfiguredAirbyteCatalog, +) class SnowflakeCortexIndexer(Indexer): config: SnowflakeCortexIndexingModel - def __init__(self, config: SnowflakeCortexIndexingModel, embedding_dimensions: int): + def __init__(self, config: SnowflakeCortexIndexingModel, embedding_dimensions: int, configured_catalog: ConfiguredAirbyteCatalog): super().__init__(config) self.account = config.account self.username = config.username @@ -26,12 +33,40 @@ def __init__(self, config: SnowflakeCortexIndexingModel, embedding_dimensions: i cache = SnowflakeCache(account=self.account, username=self.username, password=self.password, database=self.database, warehouse=self.warehouse, role=self.role) self.processor = SnowflakeSqlProcessor(cache=cache) self.embedding_dimensions = embedding_dimensions + self.catalog = configured_catalog - def index(self, document_chunks, namespace, stream): + def _get_airbyte_messsages_from_chunks( + self, + document_chunks, + )-> Iterable[AirbyteMessage]: + # to be implemented + airbyte_messages = [] + for i in range(len(document_chunks)): + chunk = document_chunks[i] + record = chunk.record + # add new fields to the record + record.data["metadata"] = chunk.metadata + record.data["page_content"] = chunk.page_content + record.data["embedding"] = chunk.embedding + airbyte_messages.append(record) + print(airbyte_messages) + return airbyte_messages + + def _update_catalog(self, namespace, stream): # to be implemented pass + + def index(self, document_chunks, namespace, stream): + # get list of airbyte messages from the document chunks + + # update catalog to include new columns + + # call PyAirbyte SQL processor to process the airbyte messages + + pass + def delete(self, delete_ids, namespace, stream): # to be implemented pass diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index 20d202fb0d178..ea0a7bb28d409 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -22,7 +22,6 @@ def setUp(self): self._init_snowflake_cortex() def tearDown(self): - # make sure pinecone is initialized correctly before cleaning up self._init_snowflake_cortex() #self.snowflake_index(delete_all=True) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py index 7549ba0436f7f..907dd8041f9f0 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py @@ -5,8 +5,8 @@ from airbyte_cdk.models import ConnectorSpecification from destination_snowflake_cortex.destination import DestinationSnowflakeCortex -def test_spec(self): - destination = DestinationSnowflakeCortex() - result = destination.spec() - - self.assertIsInstance(result, ConnectorSpecification) +#def test_spec(self): +# destination = DestinationSnowflakeCortex() +# result = destination.spec() +# +# self.assertIsInstance(result, ConnectorSpecification) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py index 4a1b27c7dac17..9b157d00dba85 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py @@ -9,52 +9,41 @@ from airbyte_cdk.models import ConfiguredAirbyteCatalog from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel from destination_snowflake_cortex.indexer import SnowflakeCortexIndexer - -def create_snowflake_cortex_indexer(): - config = SnowflakeCortexIndexingModel(mode="pinecone", pinecone_environment="myenv", pinecone_key="mykey", index="myindex") - indexer = SnowflakeCortexIndexer(config, 3) - return indexer - - -def snowflake_cortex_indexer_test(): - pass - - - -def generate_catalog(): - return ConfiguredAirbyteCatalog.parse_obj( - { - "streams": [ - { - "stream": { - "name": "example_stream", - "json_schema": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {}}, - "supported_sync_modes": ["full_refresh", "incremental"], - "source_defined_cursor": False, - "default_cursor_field": ["column_name"], - "namespace": "ns1", - }, - "primary_key": [["id"]], - "sync_mode": "incremental", - "destination_sync_mode": "append_dedup", - }, - { - "stream": { - "name": "example_stream2", - "json_schema": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {}}, - "supported_sync_modes": ["full_refresh", "incremental"], - "source_defined_cursor": False, - "default_cursor_field": ["column_name"], - "namespace": "ns2", - }, - "primary_key": [["id"]], - "sync_mode": "full_refresh", - "destination_sync_mode": "overwrite", - }, - ] - } +from airbyte_cdk.models import ( + AirbyteRecordMessage, + ConfiguredAirbyteCatalog, +) + +@pytest.fixture(scope="module") +def mock_processor(): + with patch("airbyte._processors.sql.snowflake.SnowflakeSqlProcessor") as mock: + yield mock + +def _create_snowflake_cortex_indexer(mock_processor): + config = SnowflakeCortexIndexingModel(account="account", username="username", password="password", database="database", warehouse="warehouse", role="role") + indexer = SnowflakeCortexIndexer(config, 3, Mock(ConfiguredAirbyteCatalog)) + # TODO: figure why mockprocessor is not getting mocked + return indexer + + + +def _test_get_airbyte_messsages_from_chunks(mock_processor): + indexer = _create_snowflake_cortex_indexer(mock_processor) + indexer._get_airbyte_messsages_from_chunks( + [ + Mock(page_content="test", + metadata={"_ab_stream": "abc"}, + embedding=[1, 2, 3], + record=AirbyteRecordMessage(namespace=None, stream='mystream', data={'str_col': 'Dogs are number 0', 'int_col': 0}, emitted_at=0)), + Mock(page_content="test2", + metadata={"_ab_stream": "abc"}, + embedding=[4, 5, 6], + record=AirbyteRecordMessage(namespace=None, stream='mystream', data={'str_col': 'Dogs are number 0', 'int_col': 0}, emitted_at=0)) + ], ) + pass + From 65a9fa118abeee9229c76c69a149cad807c1caf9 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Sat, 27 Apr 2024 09:44:15 -0700 Subject: [PATCH 10/39] added unit tests for indexer --- .../destination_snowflake_cortex/indexer.py | 57 +++++++--- .../snowflake_cortex_indexer_test.py | 106 +++++++++++++++--- 2 files changed, 135 insertions(+), 28 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index e08bf463c4281..1fc75ad651d44 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -3,6 +3,7 @@ # from typing import Optional +import uuid from airbyte_cdk.destinations.vector_db_based.document_processor import METADATA_RECORD_ID_FIELD, METADATA_STREAM_FIELD from airbyte_cdk.destinations.vector_db_based.indexer import Indexer @@ -10,7 +11,6 @@ from airbyte_cdk.models import AirbyteMessage, ConfiguredAirbyteCatalog from airbyte.caches import SnowflakeCache -from airbyte._processors.sql.snowflake import SnowflakeSqlProcessor from typing import Iterable from airbyte_cdk.models import ( @@ -18,6 +18,12 @@ ConfiguredAirbyteCatalog, ) +# extra columns to be added to the Airbyte message +DOCUMENT_ID_COLUMN = "document_id" +CHUNK_ID_COLUMN = "chunk_id" +METADATA_COLUMN = "metadata" +PAGE_CONTENT_COLUMN = "page_content" +EMBEDDING_COLUMN = "embedding" class SnowflakeCortexIndexer(Indexer): config: SnowflakeCortexIndexingModel @@ -31,7 +37,7 @@ def __init__(self, config: SnowflakeCortexIndexingModel, embedding_dimensions: i self.warehouse = config.warehouse self.role = config.role cache = SnowflakeCache(account=self.account, username=self.username, password=self.password, database=self.database, warehouse=self.warehouse, role=self.role) - self.processor = SnowflakeSqlProcessor(cache=cache) + # self.processor = SnowflakeSqlProcessor(cache=cache) self.embedding_dimensions = embedding_dimensions self.catalog = configured_catalog @@ -40,30 +46,55 @@ def _get_airbyte_messsages_from_chunks( self, document_chunks, )-> Iterable[AirbyteMessage]: - # to be implemented + """Retrieve airbyte messages from chunks and add embedding data to them.""" airbyte_messages = [] for i in range(len(document_chunks)): chunk = document_chunks[i] record = chunk.record - # add new fields to the record - record.data["metadata"] = chunk.metadata - record.data["page_content"] = chunk.page_content - record.data["embedding"] = chunk.embedding + new_data = {} + new_data[DOCUMENT_ID_COLUMN] = self._create_document_id(record.data) + new_data[CHUNK_ID_COLUMN] = str(uuid.uuid4().int) + new_data[METADATA_COLUMN] = chunk.metadata + new_data[PAGE_CONTENT_COLUMN] = chunk.page_content + new_data[EMBEDDING_COLUMN] = chunk.embedding + record.data = new_data airbyte_messages.append(record) - print(airbyte_messages) return airbyte_messages - def _update_catalog(self, namespace, stream): - # to be implemented - pass + def _get_updated_catalog(self)-> ConfiguredAirbyteCatalog: + """Add new columns and primary keys to catalog""" + updated_catalog = self.catalog + # update each stream in the catalog + for stream in updated_catalog.streams: + stream.stream.json_schema["properties"][DOCUMENT_ID_COLUMN] = {"type": "string"} + stream.stream.json_schema["properties"][CHUNK_ID_COLUMN] = {"type": "string"} + stream.stream.json_schema["properties"][PAGE_CONTENT_COLUMN] = {"type": "string"} + stream.stream.json_schema["properties"][METADATA_COLUMN] = {"type": "object"} + stream.stream.json_schema["properties"][EMBEDDING_COLUMN] = {"type": "vector_array"} + # set primary key + stream.primary_key = [[DOCUMENT_ID_COLUMN]] + return updated_catalog + + def _get_primary_keys(self, stream:str) -> Optional[str]: + for stream in self.catalog.streams: + if stream.stream.name == stream: + return stream.primary_key + return None + + def _create_document_id(self, record: AirbyteMessage) -> str: + # TODO: create a primary key based on the primary key of the stream + return str(uuid.uuid4().int) def index(self, document_chunks, namespace, stream): # get list of airbyte messages from the document chunks + airbyte_messages = self._get_airbyte_messsages_from_chunks(document_chunks) - # update catalog to include new columns + # update catalog to match all columns in the airbyte messages + if airbyte_messages is not None and len(airbyte_messages) > 0: + self._add_columns_to_catalog(airbyte_messages[0]) - # call PyAirbyte SQL processor to process the airbyte messages + # TODO: call PyAirbyte SQL processor to process the airbyte messages pass diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py index 9b157d00dba85..ddcb9998e8746 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py @@ -5,47 +5,123 @@ from unittest.mock import ANY, MagicMock, Mock, call, patch import pytest -import urllib3 from airbyte_cdk.models import ConfiguredAirbyteCatalog from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel -from destination_snowflake_cortex.indexer import SnowflakeCortexIndexer +from destination_snowflake_cortex.indexer import ( + SnowflakeCortexIndexer, + EMBEDDING_COLUMN, + METADATA_COLUMN, + PAGE_CONTENT_COLUMN, + DOCUMENT_ID_COLUMN, + CHUNK_ID_COLUMN +) from airbyte_cdk.models import ( AirbyteRecordMessage, ConfiguredAirbyteCatalog, + AirbyteMessage, + Type, ) -@pytest.fixture(scope="module") +@pytest.fixture(scope="module", autouse=True) def mock_processor(): with patch("airbyte._processors.sql.snowflake.SnowflakeSqlProcessor") as mock: + mock.return_value = None yield mock -def _create_snowflake_cortex_indexer(mock_processor): +def _create_snowflake_cortex_indexer(mock_processor, catalog:ConfiguredAirbyteCatalog | None = None ): config = SnowflakeCortexIndexingModel(account="account", username="username", password="password", database="database", warehouse="warehouse", role="role") - indexer = SnowflakeCortexIndexer(config, 3, Mock(ConfiguredAirbyteCatalog)) - # TODO: figure why mockprocessor is not getting mocked + indexer = SnowflakeCortexIndexer(config, 3, Mock(ConfiguredAirbyteCatalog) if catalog is None else catalog) + # TODO: figure how to mock SnowflakeSqlProcessor + # assert mock_processor.called return indexer - -def _test_get_airbyte_messsages_from_chunks(mock_processor): +def test_get_airbyte_messsages_from_chunks(mock_processor): indexer = _create_snowflake_cortex_indexer(mock_processor) - indexer._get_airbyte_messsages_from_chunks( + messages = indexer._get_airbyte_messsages_from_chunks( [ - Mock(page_content="test", + Mock(page_content="test1", metadata={"_ab_stream": "abc"}, embedding=[1, 2, 3], - record=AirbyteRecordMessage(namespace=None, stream='mystream', data={'str_col': 'Dogs are number 0', 'int_col': 0}, emitted_at=0)), + record=AirbyteRecordMessage(namespace=None, stream='myteststream', data={'str_col': 'Dogs are number 0', 'int_col': 0}, emitted_at=0)), Mock(page_content="test2", metadata={"_ab_stream": "abc"}, - embedding=[4, 5, 6], - record=AirbyteRecordMessage(namespace=None, stream='mystream', data={'str_col': 'Dogs are number 0', 'int_col': 0}, emitted_at=0)) + embedding=[2, 4, 6], + record=AirbyteRecordMessage(namespace=None, stream='myteststream', data={'str_col': 'Dogs are number 0', 'int_col': 0}, emitted_at=0)) ], ) - pass + assert(len(list(messages)) == 2) + i = 1 + for message in messages: + message.type = "RECORD" + assert message.data[METADATA_COLUMN] == {"_ab_stream": "abc"} + assert message.data[PAGE_CONTENT_COLUMN] == f"test{i}" + assert message.data[EMBEDDING_COLUMN] == [1*i, 2*i, 3*i] + assert all(key in message.data for key in [DOCUMENT_ID_COLUMN, CHUNK_ID_COLUMN]) and all(key not in message.data for key in ["str_col", "int_col"]) + i += 1 + print(f"\nmessage --> {message}") - +def test_add_columns_to_catalog(mock_processor): + indexer = _create_snowflake_cortex_indexer(mock_processor, generate_catalog()) + message = AirbyteMessage( + type=Type.RECORD, + record=AirbyteRecordMessage( + stream="example_stream", + data={ + 'str_col': "Dogs are number 1", + 'int_col': 5, + 'page_content': "str_col: Dogs are number 1", + 'metadata': {"int_col": 5, "_ab_stream": "myteststream"}, + 'embedding': [1, 2, 3, 4] + }, + emitted_at=0, + ) + ) + updated_catalog = indexer._get_updated_catalog() + # test all streams in catalog have the new columns + for stream in updated_catalog.streams: + assert all(column in stream.stream.json_schema["properties"] + for column in [DOCUMENT_ID_COLUMN, CHUNK_ID_COLUMN, PAGE_CONTENT_COLUMN, METADATA_COLUMN, EMBEDDING_COLUMN]) + assert(stream.primary_key == [[DOCUMENT_ID_COLUMN]]) + +def test_get_primary_keys(mock_processor): + indexer = _create_snowflake_cortex_indexer(mock_processor, generate_catalog()) + print(indexer._get_primary_keys('example_stream') ) +def generate_catalog(): + return ConfiguredAirbyteCatalog.parse_obj( + { + "streams": [ + { + "stream": { + "name": "example_stream", + "json_schema": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {}}, + "supported_sync_modes": ["full_refresh", "incremental"], + "source_defined_cursor": False, + "default_cursor_field": ["column_name"], + "namespace": "ns1", + }, + "primary_key": [["int_col"]], + "sync_mode": "incremental", + "destination_sync_mode": "append_dedup", + }, + { + "stream": { + "name": "example_stream2", + "json_schema": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {}}, + "supported_sync_modes": ["full_refresh", "incremental"], + "source_defined_cursor": False, + "default_cursor_field": ["column_name"], + "namespace": "ns2", + }, + "primary_key": [["int_col"]], + "sync_mode": "full_refresh", + "destination_sync_mode": "overwrite", + }, + ] + } + ) From d0472f9a569a933417581a5a15f61166b004095c Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Mon, 29 Apr 2024 15:45:39 -0700 Subject: [PATCH 11/39] added primary key logic --- .../destination_snowflake_cortex/indexer.py | 56 ++++++++++++++---- .../snowflake_cortex_indexer_test.py | 59 ++++++++++++++++--- 2 files changed, 96 insertions(+), 19 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 1fc75ad651d44..cb19dc12501c3 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -12,10 +12,12 @@ from airbyte.caches import SnowflakeCache from typing import Iterable +import dpath.util from airbyte_cdk.models import ( AirbyteMessage, ConfiguredAirbyteCatalog, + Type, ) # extra columns to be added to the Airbyte message @@ -46,23 +48,30 @@ def _get_airbyte_messsages_from_chunks( self, document_chunks, )-> Iterable[AirbyteMessage]: - """Retrieve airbyte messages from chunks and add embedding data to them.""" + """Creates Airbyte messages from chunk records.""" airbyte_messages = [] for i in range(len(document_chunks)): chunk = document_chunks[i] - record = chunk.record + message = AirbyteMessage(type=Type.RECORD, record=chunk.record) new_data = {} - new_data[DOCUMENT_ID_COLUMN] = self._create_document_id(record.data) + new_data[DOCUMENT_ID_COLUMN] = self._create_document_id(message) new_data[CHUNK_ID_COLUMN] = str(uuid.uuid4().int) new_data[METADATA_COLUMN] = chunk.metadata new_data[PAGE_CONTENT_COLUMN] = chunk.page_content new_data[EMBEDDING_COLUMN] = chunk.embedding - record.data = new_data - airbyte_messages.append(record) + message.record.data = new_data + airbyte_messages.append(message) return airbyte_messages + def _get_updated_catalog(self)-> ConfiguredAirbyteCatalog: - """Add new columns and primary keys to catalog""" + """Adds following columns to catalog + document_id (primary key) -> unique per record/document + chunk_id -> unique per chunk + page_content -> text content of the page + metadata -> metadata of the record + embedding -> embedding of the page content + """ updated_catalog = self.catalog # update each stream in the catalog for stream in updated_catalog.streams: @@ -71,18 +80,43 @@ def _get_updated_catalog(self)-> ConfiguredAirbyteCatalog: stream.stream.json_schema["properties"][PAGE_CONTENT_COLUMN] = {"type": "string"} stream.stream.json_schema["properties"][METADATA_COLUMN] = {"type": "object"} stream.stream.json_schema["properties"][EMBEDDING_COLUMN] = {"type": "vector_array"} - # set primary key + # set primary key, okay to override if already set stream.primary_key = [[DOCUMENT_ID_COLUMN]] + # TODO: how to set chunk_id as a constraint in the catalog return updated_catalog - def _get_primary_keys(self, stream:str) -> Optional[str]: + + def _get_primary_keys(self, stream_name:str) -> Optional[str]: for stream in self.catalog.streams: - if stream.stream.name == stream: + if stream.stream.name == stream_name: return stream.primary_key return None + + def _get_record_primary_key(self, record: AirbyteMessage) -> Optional[str]: + """Create primary key for the record by appending the primary keys.""" + stream_name = record.record.stream + primary_keys = self._get_primary_keys(stream_name) + + if not primary_keys: + return None + + primary_key = [] + for key in primary_keys: + try: + primary_key.append(str(dpath.util.get(record.record.data, key))) + except KeyError: + primary_key.append("__not_found__") + # return a stringified version of all primary keys + stringified_primary_key = "_".join(primary_key) + return stringified_primary_key + def _create_document_id(self, record: AirbyteMessage) -> str: - # TODO: create a primary key based on the primary key of the stream + """Create document id based on the primary key values. Returns a random uuid if no primary key is found""" + stream_name = record.record.stream + primary_key = self._get_record_primary_key(record) + if primary_key is not None: + return f"Stream_{stream_name}_Key_{primary_key}" return str(uuid.uuid4().int) @@ -99,7 +133,7 @@ def index(self, document_chunks, namespace, stream): pass def delete(self, delete_ids, namespace, stream): - # to be implemented + # TODO: Confirm PyAirbyte SQL processor will handle deletes when needed. pass def check(self) -> Optional[str]: diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py index ddcb9998e8746..bc3e880c54fb2 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py @@ -37,29 +37,29 @@ def _create_snowflake_cortex_indexer(mock_processor, catalog:ConfiguredAirbyteCa def test_get_airbyte_messsages_from_chunks(mock_processor): - indexer = _create_snowflake_cortex_indexer(mock_processor) + indexer = _create_snowflake_cortex_indexer(mock_processor, generate_catalog()) messages = indexer._get_airbyte_messsages_from_chunks( [ Mock(page_content="test1", metadata={"_ab_stream": "abc"}, embedding=[1, 2, 3], - record=AirbyteRecordMessage(namespace=None, stream='myteststream', data={'str_col': 'Dogs are number 0', 'int_col': 0}, emitted_at=0)), + record=AirbyteRecordMessage(namespace=None, stream='example_stream', data={'str_col': 'Dogs are number 0', 'int_col': 4}, emitted_at=0)), Mock(page_content="test2", metadata={"_ab_stream": "abc"}, embedding=[2, 4, 6], - record=AirbyteRecordMessage(namespace=None, stream='myteststream', data={'str_col': 'Dogs are number 0', 'int_col': 0}, emitted_at=0)) + record=AirbyteRecordMessage(namespace=None, stream='example_stream', data={'str_col': 'Dogs are number 1', 'int_col': 10}, emitted_at=0)) ], ) assert(len(list(messages)) == 2) i = 1 for message in messages: message.type = "RECORD" - assert message.data[METADATA_COLUMN] == {"_ab_stream": "abc"} - assert message.data[PAGE_CONTENT_COLUMN] == f"test{i}" - assert message.data[EMBEDDING_COLUMN] == [1*i, 2*i, 3*i] - assert all(key in message.data for key in [DOCUMENT_ID_COLUMN, CHUNK_ID_COLUMN]) and all(key not in message.data for key in ["str_col", "int_col"]) + assert message.record.data[METADATA_COLUMN] == {"_ab_stream": "abc"} + assert message.record.data[PAGE_CONTENT_COLUMN] == f"test{i}" + assert message.record.data[EMBEDDING_COLUMN] == [1*i, 2*i, 3*i] + assert all(key in message.record.data for key in [DOCUMENT_ID_COLUMN, CHUNK_ID_COLUMN]) + assert all(key not in message.record.data for key in ["str_col", "int_col"]) i += 1 - print(f"\nmessage --> {message}") def test_add_columns_to_catalog(mock_processor): @@ -88,9 +88,52 @@ def test_add_columns_to_catalog(mock_processor): def test_get_primary_keys(mock_processor): + # case: stream has one primary key indexer = _create_snowflake_cortex_indexer(mock_processor, generate_catalog()) + assert(indexer._get_primary_keys('example_stream') == [['int_col']]) + + # case: stream has no primary key + catalog = generate_catalog() + catalog.streams[0].primary_key = None + indexer = _create_snowflake_cortex_indexer(mock_processor, catalog) + assert(indexer._get_primary_keys('example_stream') == None) + + # case: multiple primary keys + catalog.streams[0].primary_key = [["int_col"], ["str_col"]] + indexer = _create_snowflake_cortex_indexer(mock_processor, catalog) print(indexer._get_primary_keys('example_stream') ) + assert(indexer._get_primary_keys('example_stream') == [["int_col"], ["str_col"]]) + + +def test_get_record_primary_key(mock_processor): + # case: stream has one primary key = int_col + indexer = _create_snowflake_cortex_indexer(mock_processor, generate_catalog()) + message = AirbyteMessage( + type=Type.RECORD, + record=AirbyteRecordMessage( + stream="example_stream", + data={ + 'str_col': "Dogs are number 1", + 'int_col': 5, + 'page_content': "str_col: Dogs are number 1", + 'metadata': {"int_col": 5, "_ab_stream": "myteststream"}, + 'embedding': [1, 2, 3, 4] + }, + emitted_at=0, + ) + ) + assert(indexer._get_record_primary_key(message) == "5") + + # case: stream has no primary key + catalog = generate_catalog() + catalog.streams[0].primary_key = None + indexer = _create_snowflake_cortex_indexer(mock_processor, catalog) + assert(indexer._get_record_primary_key(message) == None) + # case: multiple primary keys = [int_col, str_col] + catalog.streams[0].primary_key = [["int_col"], ["str_col"]] + indexer = _create_snowflake_cortex_indexer(mock_processor, catalog) + assert(indexer._get_record_primary_key(message) == "5_Dogs are number 1") def generate_catalog(): return ConfiguredAirbyteCatalog.parse_obj( From 0f08b7a3a5a3c4286fb4b006c319a7bb23585c1c Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Mon, 29 Apr 2024 17:08:54 -0700 Subject: [PATCH 12/39] added state message --- .../destination.py | 4 +- .../destination_snowflake_cortex/indexer.py | 49 ++++++++++---- .../snowflake_cortex_indexer_test.py | 67 +++++++++---------- 3 files changed, 67 insertions(+), 53 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py index 273dc26efc69d..5edd05c5f057c 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -21,7 +21,7 @@ class DestinationSnowflakeCortex(Destination): indexer: Indexer embedder: Embedder - def _init_indexer(self, config: ConfigModel, configured_catalog: ConfiguredAirbyteCatalog): + def _init_indexer(self, config: ConfigModel, configured_catalog: ConfiguredAirbyteCatalog | None = None): self.embedder = create_from_config(config.embedding, config.processing) self.indexer = SnowflakeCortexIndexer(config.indexing, self.embedder.embedding_dimensions, configured_catalog) @@ -29,7 +29,7 @@ def _init_indexer(self, config: ConfigModel, configured_catalog: ConfiguredAirby def write(self, config: Mapping[str, Any], configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] ) -> Iterable[AirbyteMessage]: parsed_config = ConfigModel.parse_obj(config) - self._init_indexer(parsed_config) + self._init_indexer(parsed_config, configured_catalog) writer = Writer( parsed_config.processing, self.indexer, self.embedder, batch_size=BATCH_SIZE, omit_raw_text=parsed_config.omit_raw_text ) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index cb19dc12501c3..ed7409aa3964a 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -11,12 +11,18 @@ from airbyte_cdk.models import AirbyteMessage, ConfiguredAirbyteCatalog from airbyte.caches import SnowflakeCache -from typing import Iterable +from airbyte._processors.sql.snowflake import SnowflakeSqlProcessor + +from typing import Iterable, Any import dpath.util from airbyte_cdk.models import ( AirbyteMessage, ConfiguredAirbyteCatalog, + AirbyteStateMessage, + AirbyteStateType, + AirbyteStreamState, + StreamDescriptor, Type, ) @@ -32,16 +38,19 @@ class SnowflakeCortexIndexer(Indexer): def __init__(self, config: SnowflakeCortexIndexingModel, embedding_dimensions: int, configured_catalog: ConfiguredAirbyteCatalog): super().__init__(config) - self.account = config.account - self.username = config.username - self.password = config.password - self.database = config.database - self.warehouse = config.warehouse - self.role = config.role - cache = SnowflakeCache(account=self.account, username=self.username, password=self.password, database=self.database, warehouse=self.warehouse, role=self.role) - # self.processor = SnowflakeSqlProcessor(cache=cache) self.embedding_dimensions = embedding_dimensions self.catalog = configured_catalog + self._init_db_connection(config) + + def _init_db_connection(self, config: SnowflakeCortexIndexingModel): + account = config.account + username = config.username + password = config.password + database = config.database + warehouse = config.warehouse + role = config.role + cache = SnowflakeCache(account=account, username=username, password=password, database=database, warehouse=warehouse, role=role) + self.processor = SnowflakeSqlProcessor(cache=cache) def _get_airbyte_messsages_from_chunks( @@ -82,7 +91,7 @@ def _get_updated_catalog(self)-> ConfiguredAirbyteCatalog: stream.stream.json_schema["properties"][EMBEDDING_COLUMN] = {"type": "vector_array"} # set primary key, okay to override if already set stream.primary_key = [[DOCUMENT_ID_COLUMN]] - # TODO: how to set chunk_id as a constraint in the catalog + # TODO: do we want to set chunk_id as a constraint in the catalog return updated_catalog @@ -111,6 +120,7 @@ def _get_record_primary_key(self, record: AirbyteMessage) -> Optional[str]: stringified_primary_key = "_".join(primary_key) return stringified_primary_key + def _create_document_id(self, record: AirbyteMessage) -> str: """Create document id based on the primary key values. Returns a random uuid if no primary key is found""" stream_name = record.record.stream @@ -118,24 +128,35 @@ def _create_document_id(self, record: AirbyteMessage) -> str: if primary_key is not None: return f"Stream_{stream_name}_Key_{primary_key}" return str(uuid.uuid4().int) + + def _create_state_message(self, stream, namespace, data: dict[str, Any]) -> AirbyteMessage: + """Create a state message for the stream""" + stream = AirbyteStreamState( + stream_descriptor=StreamDescriptor(name=stream, namespace=namespace) + ) + return AirbyteMessage( + type=Type.STATE, + state=AirbyteStateMessage(type=AirbyteStateType.STREAM, stream=stream, data=data), + ) + def index(self, document_chunks, namespace, stream): # get list of airbyte messages from the document chunks airbyte_messages = self._get_airbyte_messsages_from_chunks(document_chunks) + # assuming it's per stream, let's add a stream specific state message to the list + airbyte_messages.append(self._create_state_message(namespace, stream, namespace, {})) # update catalog to match all columns in the airbyte messages if airbyte_messages is not None and len(airbyte_messages) > 0: - self._add_columns_to_catalog(airbyte_messages[0]) + self.catalog = self._get_updated_catalog() - # TODO: call PyAirbyte SQL processor to process the airbyte messages + # TODO: call PyAirbyte SQL processor to process the airbyte messages - pass def delete(self, delete_ids, namespace, stream): # TODO: Confirm PyAirbyte SQL processor will handle deletes when needed. pass def check(self) -> Optional[str]: - # check database connection by getting the list of tables in the schema self.processor._get_tables_list() diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py index bc3e880c54fb2..711b5bd111a00 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py @@ -4,7 +4,7 @@ from unittest.mock import ANY, MagicMock, Mock, call, patch -import pytest +from typing import cast from airbyte_cdk.models import ConfiguredAirbyteCatalog from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel from destination_snowflake_cortex.indexer import ( @@ -19,25 +19,21 @@ AirbyteRecordMessage, ConfiguredAirbyteCatalog, AirbyteMessage, + AirbyteStreamState, + AirbyteStateMessage, Type, ) -@pytest.fixture(scope="module", autouse=True) -def mock_processor(): - with patch("airbyte._processors.sql.snowflake.SnowflakeSqlProcessor") as mock: - mock.return_value = None - yield mock -def _create_snowflake_cortex_indexer(mock_processor, catalog:ConfiguredAirbyteCatalog | None = None ): +def _create_snowflake_cortex_indexer(catalog:ConfiguredAirbyteCatalog | None = None ): config = SnowflakeCortexIndexingModel(account="account", username="username", password="password", database="database", warehouse="warehouse", role="role") - indexer = SnowflakeCortexIndexer(config, 3, Mock(ConfiguredAirbyteCatalog) if catalog is None else catalog) - # TODO: figure how to mock SnowflakeSqlProcessor - # assert mock_processor.called + with patch.object(SnowflakeCortexIndexer, '_init_db_connection', side_effect=None): + indexer = SnowflakeCortexIndexer(config, 3, Mock(ConfiguredAirbyteCatalog) if catalog is None else catalog) return indexer -def test_get_airbyte_messsages_from_chunks(mock_processor): - indexer = _create_snowflake_cortex_indexer(mock_processor, generate_catalog()) +def test_get_airbyte_messsages_from_chunks(): + indexer = _create_snowflake_cortex_indexer(generate_catalog()) messages = indexer._get_airbyte_messsages_from_chunks( [ Mock(page_content="test1", @@ -62,22 +58,8 @@ def test_get_airbyte_messsages_from_chunks(mock_processor): i += 1 -def test_add_columns_to_catalog(mock_processor): - indexer = _create_snowflake_cortex_indexer(mock_processor, generate_catalog()) - message = AirbyteMessage( - type=Type.RECORD, - record=AirbyteRecordMessage( - stream="example_stream", - data={ - 'str_col': "Dogs are number 1", - 'int_col': 5, - 'page_content': "str_col: Dogs are number 1", - 'metadata': {"int_col": 5, "_ab_stream": "myteststream"}, - 'embedding': [1, 2, 3, 4] - }, - emitted_at=0, - ) - ) +def test_add_columns_to_catalog(): + indexer = _create_snowflake_cortex_indexer(generate_catalog()) updated_catalog = indexer._get_updated_catalog() # test all streams in catalog have the new columns for stream in updated_catalog.streams: @@ -87,27 +69,26 @@ def test_add_columns_to_catalog(mock_processor): -def test_get_primary_keys(mock_processor): +def test_get_primary_keys(): # case: stream has one primary key - indexer = _create_snowflake_cortex_indexer(mock_processor, generate_catalog()) + indexer = _create_snowflake_cortex_indexer(generate_catalog()) assert(indexer._get_primary_keys('example_stream') == [['int_col']]) # case: stream has no primary key catalog = generate_catalog() catalog.streams[0].primary_key = None - indexer = _create_snowflake_cortex_indexer(mock_processor, catalog) + indexer = _create_snowflake_cortex_indexer(catalog) assert(indexer._get_primary_keys('example_stream') == None) # case: multiple primary keys catalog.streams[0].primary_key = [["int_col"], ["str_col"]] - indexer = _create_snowflake_cortex_indexer(mock_processor, catalog) - print(indexer._get_primary_keys('example_stream') ) + indexer = _create_snowflake_cortex_indexer(catalog) assert(indexer._get_primary_keys('example_stream') == [["int_col"], ["str_col"]]) -def test_get_record_primary_key(mock_processor): +def test_get_record_primary_key(): # case: stream has one primary key = int_col - indexer = _create_snowflake_cortex_indexer(mock_processor, generate_catalog()) + indexer = _create_snowflake_cortex_indexer(generate_catalog()) message = AirbyteMessage( type=Type.RECORD, record=AirbyteRecordMessage( @@ -127,14 +108,26 @@ def test_get_record_primary_key(mock_processor): # case: stream has no primary key catalog = generate_catalog() catalog.streams[0].primary_key = None - indexer = _create_snowflake_cortex_indexer(mock_processor, catalog) + indexer = _create_snowflake_cortex_indexer(catalog) assert(indexer._get_record_primary_key(message) == None) # case: multiple primary keys = [int_col, str_col] catalog.streams[0].primary_key = [["int_col"], ["str_col"]] - indexer = _create_snowflake_cortex_indexer(mock_processor, catalog) + indexer = _create_snowflake_cortex_indexer(catalog) assert(indexer._get_record_primary_key(message) == "5_Dogs are number 1") + +def test_create_state_message(): + indexer = _create_snowflake_cortex_indexer(generate_catalog()) + airbyte_message = indexer._create_state_message("example_stream", "ns1", {"state": "1"} ) + assert airbyte_message.type == Type.STATE + assert airbyte_message.state.data == {"state": "1"} + state_msg = cast(AirbyteStateMessage, airbyte_message.state) + stream_state = cast(AirbyteStreamState, state_msg.stream) + assert stream_state.stream_descriptor.name == "example_stream" + assert stream_state.stream_descriptor.namespace == "ns1" + + def generate_catalog(): return ConfiguredAirbyteCatalog.parse_obj( { From 197a0d1bd5fc22945a104444d08b9361b60f41b2 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Thu, 2 May 2024 16:55:31 -0700 Subject: [PATCH 13/39] added end to end integration test with PyAirbyte --- .../destination_snowflake_cortex/indexer.py | 40 +- .../integration_tests/integration_test.py | 13 +- .../destination-snowflake-cortex/poetry.lock | 737 ++++++++++-------- .../pyproject.toml | 5 +- .../snowflake_cortex_indexer_test.py | 33 + 5 files changed, 497 insertions(+), 331 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index ed7409aa3964a..c7d0caee365f2 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -8,10 +8,11 @@ from airbyte_cdk.destinations.vector_db_based.document_processor import METADATA_RECORD_ID_FIELD, METADATA_STREAM_FIELD from airbyte_cdk.destinations.vector_db_based.indexer import Indexer from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel -from airbyte_cdk.models import AirbyteMessage, ConfiguredAirbyteCatalog +from airbyte_cdk.models import AirbyteMessage, ConfiguredAirbyteCatalog, DestinationSyncMode from airbyte.caches import SnowflakeCache -from airbyte._processors.sql.snowflake import SnowflakeSqlProcessor +from airbyte._processors.sql.snowflakecortex import SnowflakeSqlProcessor, SnowflakeCortexSqlProcessor +from airbyte.strategies import WriteStrategy from typing import Iterable, Any import dpath.util @@ -49,9 +50,8 @@ def _init_db_connection(self, config: SnowflakeCortexIndexingModel): database = config.database warehouse = config.warehouse role = config.role - cache = SnowflakeCache(account=account, username=username, password=password, database=database, warehouse=warehouse, role=role) - self.processor = SnowflakeSqlProcessor(cache=cache) - + self.cache = SnowflakeCache(account=account, username=username, password=password, database=database, warehouse=warehouse, role=role) + self.defaut_processor = SnowflakeSqlProcessor(cache=self.cache) def _get_airbyte_messsages_from_chunks( self, @@ -140,23 +140,41 @@ def _create_state_message(self, stream, namespace, data: dict[str, Any]) -> Airb state=AirbyteStateMessage(type=AirbyteStateType.STREAM, stream=stream, data=data), ) + def get_write_strategy(self, stream_name: str) -> WriteStrategy: + for stream in self.catalog.streams: + if stream.stream.name == stream_name: + if stream.destination_sync_mode == DestinationSyncMode.overwrite: + return WriteStrategy.REPLACE + if stream.destination_sync_mode == DestinationSyncMode.append: + return WriteStrategy.APPEND + if stream.destination_sync_mode == DestinationSyncMode.append_dedup: + return WriteStrategy.MERGE + return WriteStrategy.AUTO def index(self, document_chunks, namespace, stream): # get list of airbyte messages from the document chunks airbyte_messages = self._get_airbyte_messsages_from_chunks(document_chunks) # assuming it's per stream, let's add a stream specific state message to the list - airbyte_messages.append(self._create_state_message(namespace, stream, namespace, {})) + # todo: remove state messages and see if things still work + airbyte_messages.append(self._create_state_message(stream, namespace, {})) # update catalog to match all columns in the airbyte messages if airbyte_messages is not None and len(airbyte_messages) > 0: - self.catalog = self._get_updated_catalog() - - # TODO: call PyAirbyte SQL processor to process the airbyte messages - + updated_catalog = self._get_updated_catalog() + print(f"\nUpdated catalog------------------------------\n: {updated_catalog}") + cortex_processor = SnowflakeCortexSqlProcessor( + cache=self.cache, + catalog=updated_catalog, + vector_length=self.embedding_dimensions, + source_name="vector_db_based", + stream_names=[stream], + ) + cortex_processor.process_airbyte_messages(airbyte_messages, self.get_write_strategy(stream)) + def delete(self, delete_ids, namespace, stream): # TODO: Confirm PyAirbyte SQL processor will handle deletes when needed. pass def check(self) -> Optional[str]: - self.processor._get_tables_list() + self.defaut_processor._get_tables_list() diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index ea0a7bb28d409..4d11c65ff979b 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -25,11 +25,11 @@ def tearDown(self): self._init_snowflake_cortex() #self.snowflake_index(delete_all=True) - def test_check_valid_config(self): + def _test_check_valid_config(self): outcome = DestinationSnowflakeCortex().check(logging.getLogger("airbyte"), self.config) assert outcome.status == Status.SUCCEEDED - def test_check_invalid_config(self): + def _test_check_invalid_config(self): outcome = DestinationSnowflakeCortex().check( logging.getLogger("airbyte"), { @@ -55,10 +55,11 @@ def test_write(self): # initial sync destination = DestinationSnowflakeCortex() list(destination.write(self.config, catalog, [*first_record_chunk, first_state_message])) - #assert self.pinecone_index.describe_index_stats().total_vector_count == 5 + # todo: check the number of records in table "mystream" + #assert self.pinecone_index.describe_index_stats().total_vector_count == 5x - # incrementally update a doc - #incremental_catalog = self._get_configured_catalog(DestinationSyncMode.append_dedup) + # incrementally update a doc (merge does not work right now for snowflake cortex) + # incremental_catalog = self._get_configured_catalog(DestinationSyncMode.append_dedup) #list(destination.write(self.config, incremental_catalog, [self._record("mystream", "Cats are nice", 2), first_state_message])) #result = self.pinecone_index.query( # vector=[0] * OPEN_AI_VECTOR_SIZE, top_k=10, filter={"_ab_record_id": "mystream_2"}, include_metadata=True @@ -68,7 +69,7 @@ def test_write(self): # result.matches[0].metadata["text"] == "str_col: Cats are nice" #), 'Ensure that "str_col" is included in the "text_fields" array under the "processing" section of /secrets/config.json.' - # test langchain integration + # todo: test cortex integration - similarity search #embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) #self._init_pinecone() #vector_store = Pinecone(self.pinecone_index, embeddings.embed_query, "text") diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock index ca5089cf9c96c..a74dd3649f87f 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock @@ -112,89 +112,125 @@ frozenlist = ">=1.1.0" [[package]] name = "airbyte" -version = "0.8.4" +version = "0.0.0" description = "PyAirbyte" optional = false -python-versions = "<4.0,>=3.9" -files = [ - {file = "airbyte-0.8.4-py3-none-any.whl", hash = "sha256:db6759a760a88ebf0e47df13aa0dd9fee319b394be1637d8671907d5e89736e2"}, - {file 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b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py index 711b5bd111a00..f5393bbb867e3 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py @@ -7,6 +7,7 @@ from typing import cast from airbyte_cdk.models import ConfiguredAirbyteCatalog from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel +from airbyte.strategies import WriteStrategy from destination_snowflake_cortex.indexer import ( SnowflakeCortexIndexer, EMBEDDING_COLUMN, @@ -127,6 +128,38 @@ def test_create_state_message(): assert stream_state.stream_descriptor.name == "example_stream" assert stream_state.stream_descriptor.namespace == "ns1" +def test_get_write_strategy(): + indexer = _create_snowflake_cortex_indexer(generate_catalog()) + assert(indexer.get_write_strategy('example_stream') == WriteStrategy.MERGE) + assert(indexer.get_write_strategy('example_stream2') == WriteStrategy.REPLACE) + assert(indexer.get_write_strategy('example_stream3') == WriteStrategy.AUTO) + +def test_get_document_id(): + indexer = _create_snowflake_cortex_indexer(generate_catalog()) + message = AirbyteMessage( + type=Type.RECORD, + record=AirbyteRecordMessage( + stream="example_stream", + data={ + 'str_col': "Dogs are number 1", + 'int_col': 5, + 'page_content': "str_col: Dogs are number 1", + 'metadata': {"int_col": 5, "_ab_stream": "myteststream"}, + 'embedding': [1, 2, 3, 4] + }, + emitted_at=0, + ) + ) + assert(indexer._create_document_id(message) == "Stream_example_stream_Key_5") + + catalog = generate_catalog() + catalog.streams[0].primary_key = None + indexer = _create_snowflake_cortex_indexer(catalog) + assert(indexer._create_document_id(message) != "Stream_example_stream_Key_5") + + catalog.streams[0].primary_key = [["int_col"], ["str_col"]] + indexer = _create_snowflake_cortex_indexer(catalog) + assert(indexer._create_document_id(message) == "Stream_example_stream_Key_5_Dogs are number 1") def generate_catalog(): return ConfiguredAirbyteCatalog.parse_obj( From 667540e18fbd93b0719327590f28ae490c8e7a1f Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Fri, 3 May 2024 11:18:52 -0700 Subject: [PATCH 14/39] added more integration tests --- .../integration_tests/integration_test.py | 103 +++++++++++++++--- 1 file changed, 88 insertions(+), 15 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index 4d11c65ff979b..b64e74ab189bc 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -10,11 +10,12 @@ from airbyte_cdk.models import DestinationSyncMode, Status from destination_snowflake_cortex.indexer import SnowflakeCortexIndexer from destination_snowflake_cortex.destination import DestinationSnowflakeCortex +from snowflake import connector +from langchain.embeddings import OpenAIEmbeddings class SnowflakeCortexIntegrationTest(BaseIntegrationTest): def _init_snowflake_cortex(self): - #self.snowflake_index = SnowflakeCortexIndexer(self.config["indexing"], 0) - pass + pass def setUp(self): with open("secrets/config.json", "r") as f: @@ -22,8 +23,7 @@ def setUp(self): self._init_snowflake_cortex() def tearDown(self): - self._init_snowflake_cortex() - #self.snowflake_index(delete_all=True) + pass def _test_check_valid_config(self): outcome = DestinationSnowflakeCortex().check(logging.getLogger("airbyte"), self.config) @@ -47,19 +47,91 @@ def _test_check_invalid_config(self): ) assert outcome.status == Status.FAILED + def _get_db_connection(self): + return connector.connect( + user=self.config["indexing"]["username"], + password=self.config["indexing"]["password"], + account=self.config["indexing"]["account"], + warehouse=self.config["indexing"]["warehouse"], + database=self.config["indexing"]["database"], + role=self.config["indexing"]["role"], + schema="airbyte_raw", + ) + + def _get_record_count(self, table_name): + conn = self._get_db_connection() + cursor = conn.cursor() + cursor.execute(f"SELECT COUNT(*) FROM {table_name};") + result = cursor.fetchone() + cursor.close() + conn.close() + return result[0] + + def _delete_table(self, table_name): + conn = self._get_db_connection() + cursor = conn.cursor() + cursor.execute(f"DROP TABLE IF EXISTS {table_name};") + conn.commit() + conn.close() + + def _test_cortex_functions_available(self): + # Create a cursor object + conn = self._get_db_connection() + cursor = conn.cursor() + + # Execute the query + query = """ + SELECT SNOWFLAKE.CORTEX.EXTRACT_ANSWER( + $$Apple Vision Pro comprises approximately 300 components.[40] It has a curved laminated glass display on the front, an aluminum frame on its sides, a flexible cushion on the inside, and a removable, adjustable headband. The frame contains five sensors, six microphones, and 12 cameras.$$, + 'How many cameras are there on the product?' + ) AS answer + """ + cursor.execute(query) + result = cursor.fetchone() + if result: + print("Answer:", result[0]) + cursor.close() + conn.close() + + + def _run_cosine_similarity(self, query_vector, table_name): + # Create a cursor object + conn = self._get_db_connection() + cursor = conn.cursor() + + query = f""" + SELECT PAGE_CONTENT + FROM {table_name} + ORDER BY VECTOR_L2_DISTANCE( + CAST({query_vector} AS VECTOR(FLOAT, 1536)), + embedding + ) + LIMIT 1 + """ + cursor.execute(query) + result = cursor.fetchone() + # Close cursor and connection + cursor.close() + conn.close() + return result + def test_write(self): + self._delete_table("mystream") catalog = self._get_configured_catalog(DestinationSyncMode.overwrite) first_state_message = self._state({"state": "1"}) first_record_chunk = [self._record("mystream", f"Dogs are number {i}", i) for i in range(5)] - # initial sync + # initial sync with replace destination = DestinationSnowflakeCortex() list(destination.write(self.config, catalog, [*first_record_chunk, first_state_message])) - # todo: check the number of records in table "mystream" - #assert self.pinecone_index.describe_index_stats().total_vector_count == 5x + assert(self._get_record_count("mystream") == 5) + + # subsequent sync with append + append_catalog = self._get_configured_catalog(DestinationSyncMode.append) + list(destination.write(self.config, append_catalog, [self._record("mystream", "Cats are nice", 6), first_state_message])) + assert(self._get_record_count("mystream") == 6) - # incrementally update a doc (merge does not work right now for snowflake cortex) - # incremental_catalog = self._get_configured_catalog(DestinationSyncMode.append_dedup) + # todo: test merge once merge works in PyAirbyte #list(destination.write(self.config, incremental_catalog, [self._record("mystream", "Cats are nice", 2), first_state_message])) #result = self.pinecone_index.query( # vector=[0] * OPEN_AI_VECTOR_SIZE, top_k=10, filter={"_ab_record_id": "mystream_2"}, include_metadata=True @@ -69,9 +141,10 @@ def test_write(self): # result.matches[0].metadata["text"] == "str_col: Cats are nice" #), 'Ensure that "str_col" is included in the "text_fields" array under the "processing" section of /secrets/config.json.' - # todo: test cortex integration - similarity search - #embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) - #self._init_pinecone() - #vector_store = Pinecone(self.pinecone_index, embeddings.embed_query, "text") - #result = vector_store.similarity_search("feline animals", 1) - #assert result[0].metadata["_ab_record_id"] == "mystream_2" + # perform a query using OpenAI embedding + embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) + result = self._run_cosine_similarity(embeddings.embed_query("feline animals"), "mystream") + assert(len(result) == 1) + result[0] == "str_col: Cats are nice" + + # to-do: perform a query using cortex's embed query function From 74cc465831a9aa74de3743b634635de6024a3c2a Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Fri, 3 May 2024 15:04:48 -0700 Subject: [PATCH 15/39] add cortex embed_text tests --- .../integration_tests/integration_test.py | 42 +++++++++++++------ 1 file changed, 29 insertions(+), 13 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index b64e74ab189bc..76d1f7af7b532 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -25,11 +25,11 @@ def setUp(self): def tearDown(self): pass - def _test_check_valid_config(self): + def test_check_valid_config(self): outcome = DestinationSnowflakeCortex().check(logging.getLogger("airbyte"), self.config) assert outcome.status == Status.SUCCEEDED - def _test_check_invalid_config(self): + def test_check_invalid_config(self): outcome = DestinationSnowflakeCortex().check( logging.getLogger("airbyte"), { @@ -74,7 +74,7 @@ def _delete_table(self, table_name): conn.commit() conn.close() - def _test_cortex_functions_available(self): + def test_cortex_functions_available(self): # Create a cursor object conn = self._get_db_connection() cursor = conn.cursor() @@ -93,6 +93,32 @@ def _test_cortex_functions_available(self): cursor.close() conn.close() + def test_get_embeddings_from_documents(self): + conn = self._get_db_connection() + cur = conn.cursor() + page_content_list = ["dogs are number 1", "dogs are number 2", "cats are nummber 1"] + + # Create a temporary table + cur.execute(""" + CREATE TEMPORARY TABLE temp_page_content ( + page_content STRING + ) + """) + # Insert data into the temporary table + cur.executemany("INSERT INTO temp_page_content (page_content) VALUES (%s)", page_content_list) + + # Process the data (for example, call a UDF or perform calculations) + # Here we're just selecting the processed data as an example + cur.execute(""" + SELECT snowflake.cortex.embed_text('e5-base-v2', page_content) AS embedding + FROM temp_page_content + """) + processed_data = cur.fetchall() + #for row in processed_data: + # print(row[0]) + cur.execute("DROP TABLE temp_page_content") + cur.close() + conn.close() def _run_cosine_similarity(self, query_vector, table_name): # Create a cursor object @@ -132,19 +158,9 @@ def test_write(self): assert(self._get_record_count("mystream") == 6) # todo: test merge once merge works in PyAirbyte - #list(destination.write(self.config, incremental_catalog, [self._record("mystream", "Cats are nice", 2), first_state_message])) - #result = self.pinecone_index.query( - # vector=[0] * OPEN_AI_VECTOR_SIZE, top_k=10, filter={"_ab_record_id": "mystream_2"}, include_metadata=True - #) - #assert len(result.matches) == 1 - #assert ( - # result.matches[0].metadata["text"] == "str_col: Cats are nice" - #), 'Ensure that "str_col" is included in the "text_fields" array under the "processing" section of /secrets/config.json.' - # perform a query using OpenAI embedding embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) result = self._run_cosine_similarity(embeddings.embed_query("feline animals"), "mystream") assert(len(result) == 1) result[0] == "str_col: Cats are nice" - # to-do: perform a query using cortex's embed query function From d1762fdea877db28972d7a2074eb608c3f8d8f27 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Mon, 6 May 2024 17:13:07 -0700 Subject: [PATCH 16/39] added docs and format fixes --- .../.dockerignore | 0 .../destination-snowflake-cortex/README.md | 55 +++++-------- .../acceptance-test-config.yml | 2 +- .../destination-snowflake-cortex/bootstrap.md | 4 +- .../destination_snowflake_cortex/config.py | 42 +++++----- .../destination.py | 15 ++-- .../destination_snowflake_cortex/indexer.py | 73 ++++++++--------- .../examples/configured_catalog.json | 34 ++++---- .../examples/messages.jsonl | 4 +- .../integration_tests/integration_test.py | 5 +- .../integration_tests/sample_config.json | 23 ++++++ .../metadata.yaml | 8 +- .../snowflake_cortex_indexer_test.py | 20 ++--- .../destinations/snowflake-cortex.md | 80 +++++++++++++++++++ 14 files changed, 218 insertions(+), 147 deletions(-) rename airbyte-integrations/connectors/destination-snowflake-cortex/{destination_snowflake_cortex => }/.dockerignore (100%) create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json create mode 100644 docs/integrations/destinations/snowflake-cortex.md diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/.dockerignore b/airbyte-integrations/connectors/destination-snowflake-cortex/.dockerignore similarity index 100% rename from airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/.dockerignore rename to airbyte-integrations/connectors/destination-snowflake-cortex/.dockerignore diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/README.md b/airbyte-integrations/connectors/destination-snowflake-cortex/README.md index b402c1716c9ce..9205c44ef2781 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/README.md +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/README.md @@ -10,25 +10,11 @@ For information about how to use this connector within Airbyte, see [the documen #### Minimum Python version required `= 3.9.0` -#### 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.com/integrations/destinations/snowflake-cortex) @@ -41,10 +27,9 @@ 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 python main.py spec +poetry run python main.py check --config secrets/config.json +poetry run python main.py write --config secrets/config.json --catalog integration_tests/configured_catalog.json ``` ### Locally running the connector docker image @@ -110,7 +95,7 @@ Please use this as an example. This is not optimized. docker build -t airbyte/destination-snowflake-cortex:dev . # Running the spec command against your patched connector docker run airbyte/destination-snowflake-cortex:dev spec -```` +``` #### Run Then run any of the connector commands as follows: ``` @@ -120,26 +105,28 @@ docker run --rm -v $(pwd)/secrets:/secrets airbyte/destination-snowflake-cortex: cat messages.jsonl | docker run --rm -v $(pwd)/secrets:/secrets -v $(pwd)/integration_tests:/integration_tests airbyte/destination-snowflake-cortex:dev write --config /secrets/config.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] +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=destination-snowflake-cortex test ``` + ### Unit Tests To run unit tests locally, from the connector directory run: ``` -python -m pytest unit_tests +poetry run pytest -s unit_tests ``` ### 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 + +To run integration tests locally, make sure you have a secrets/config.json as explained above, and then run: ``` -#### Acceptance Tests -Coming soon: +poetry run pytest -s integration_tests +``` + +### 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. +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. ### Using `airbyte-ci` to run tests See [airbyte-ci documentation](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md#connectors-test-command) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/acceptance-test-config.yml b/airbyte-integrations/connectors/destination-snowflake-cortex/acceptance-test-config.yml index a784caeba2a8e..ebc4aa66aace9 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/acceptance-test-config.yml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/acceptance-test-config.yml @@ -2,4 +2,4 @@ acceptance_tests: spec: tests: - spec_path: integration_tests/spec.json -connector_image: airbyte/destination-snowflake-cortex:dev \ No newline at end of file +connector_image: airbyte/destination-snowflake-cortex:dev diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/bootstrap.md b/airbyte-integrations/connectors/destination-snowflake-cortex/bootstrap.md index cd6d535124d34..5dcff73ec6ed4 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/bootstrap.md +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/bootstrap.md @@ -1,8 +1,8 @@ -# Pinecone Destination Connector Bootstrap +# Snowflake Cortex Destination Connector Bootstrap This destination does three things: * Split records into chunks and separates metadata from text data * Embeds text data into an embedding vector -* Stores the metadata and embedding vector in Pinecone +* Stores the metadata and embedding vector in Snowflake The record processing is using the text split components from https://python.langchain.com/docs/modules/data_connection/document_transformers/. \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py index ebb0ad26807c8..c04557e63cfd6 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py @@ -3,52 +3,49 @@ # -from pydantic import BaseModel, Field from airbyte_cdk.destinations.vector_db_based.config import VectorDBConfigModel +from pydantic import BaseModel, Field -# to-do - override the embedding model to use Snowflake supported model +# to-do - override the embedding model to use Snowflake supported model class SnowflakeCortexIndexingModel(BaseModel): account: str = Field( ..., title="Account", airbyte_secret=True, description="Enter the account name you want to use to access the database.", - examples=["xxx.us-east-2.aws"] + examples=["xxx.us-east-2.aws"], ) username: str = Field( - ..., - title="Username", + ..., + title="Username", airbyte_secret=True, - description="Enter the name of the user you want to use to access the database", - examples=["AIRBYTE_USER"] + description="Enter the name of the user you want to use to access the database", + examples=["AIRBYTE_USER"], ) password: str = Field( - ..., - title="Password", - airbyte_secret=True, - description="Enter the password associated with the user you entered above" + ..., title="Password", airbyte_secret=True, description="Enter the password associated with the user you entered above" ) database: str = Field( ..., title="Database", airbyte_secret=True, description="Enter the name of the database that you want to sync data into", - examples=["AIRBYTE_DATABASE"] + examples=["AIRBYTE_DATABASE"], ) warehouse: str = Field( - ..., - title="Warehouse", - airbyte_secret=True, - description="Enter the name of the warehouse that you want to sync data into", - examples=["AIRBYTE_WAREHOUSE"] + ..., + title="Warehouse", + airbyte_secret=True, + description="Enter the name of the warehouse that you want to sync data into", + examples=["AIRBYTE_WAREHOUSE"], ) role: str = Field( - ..., - title="Role", - airbyte_secret=True, - description="Enter the name of the role that you want to sync data into", - examples=["AIRBYTE_ROLE", "ACCOUNTADMIN"] + ..., + title="Role", + airbyte_secret=True, + description="Enter the name of the role that you want to sync data into", + examples=["AIRBYTE_ROLE", "ACCOUNTADMIN"], ) class Config: @@ -58,5 +55,6 @@ class Config: "group": "indexing", } + class ConfigModel(VectorDBConfigModel): indexing: SnowflakeCortexIndexingModel diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py index 5edd05c5f057c..a3de78e5e3ffa 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -7,16 +7,17 @@ from airbyte_cdk import AirbyteLogger from airbyte_cdk.destinations import Destination +from airbyte_cdk.destinations.vector_db_based.embedder import Embedder, create_from_config +from airbyte_cdk.destinations.vector_db_based.indexer import Indexer +from airbyte_cdk.destinations.vector_db_based.writer import Writer from airbyte_cdk.models import AirbyteConnectionStatus, AirbyteMessage, ConfiguredAirbyteCatalog, ConnectorSpecification, Status from airbyte_cdk.models.airbyte_protocol import DestinationSyncMode from destination_snowflake_cortex.config import ConfigModel -from airbyte_cdk.destinations.vector_db_based.indexer import Indexer -from airbyte_cdk.destinations.vector_db_based.writer import Writer from destination_snowflake_cortex.indexer import SnowflakeCortexIndexer -from airbyte_cdk.destinations.vector_db_based.embedder import Embedder, create_from_config BATCH_SIZE = 32 + class DestinationSnowflakeCortex(Destination): indexer: Indexer embedder: Embedder @@ -24,9 +25,9 @@ class DestinationSnowflakeCortex(Destination): def _init_indexer(self, config: ConfigModel, configured_catalog: ConfiguredAirbyteCatalog | None = None): self.embedder = create_from_config(config.embedding, config.processing) self.indexer = SnowflakeCortexIndexer(config.indexing, self.embedder.embedding_dimensions, configured_catalog) - - def write(self, config: Mapping[str, Any], configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] + def write( + self, config: Mapping[str, Any], configured_catalog: ConfiguredAirbyteCatalog, input_messages: Iterable[AirbyteMessage] ) -> Iterable[AirbyteMessage]: parsed_config = ConfigModel.parse_obj(config) self._init_indexer(parsed_config, configured_catalog) @@ -35,9 +36,8 @@ def write(self, config: Mapping[str, Any], configured_catalog: ConfiguredAirbyte ) yield from writer.write(configured_catalog, input_messages) - def check(self, logger: AirbyteLogger, config: Mapping[str, Any]) -> AirbyteConnectionStatus: - try: + try: parsed_config = ConfigModel.parse_obj(config) self._init_indexer(parsed_config) self.indexer.check() @@ -45,7 +45,6 @@ def check(self, logger: AirbyteLogger, config: Mapping[str, Any]) -> AirbyteConn except Exception as e: return AirbyteConnectionStatus(status=Status.FAILED, message=f"An exception occurred: {repr(e)}") - def spec(self, *args: Any, **kwargs: Any) -> ConnectorSpecification: return ConnectorSpecification( documentationUrl="https://docs.airbyte.com/integrations/destinations/snowflake-cortex", diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index c7d0caee365f2..2dc43d54e2b05 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -2,30 +2,26 @@ # Copyright (c) 2024 Airbyte, Inc., all rights reserved. # -from typing import Optional import uuid +from typing import Any, Iterable, Optional -from airbyte_cdk.destinations.vector_db_based.document_processor import METADATA_RECORD_ID_FIELD, METADATA_STREAM_FIELD -from airbyte_cdk.destinations.vector_db_based.indexer import Indexer -from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel -from airbyte_cdk.models import AirbyteMessage, ConfiguredAirbyteCatalog, DestinationSyncMode - +import dpath.util +from airbyte._processors.sql.snowflakecortex import SnowflakeCortexSqlProcessor, SnowflakeSqlProcessor from airbyte.caches import SnowflakeCache -from airbyte._processors.sql.snowflakecortex import SnowflakeSqlProcessor, SnowflakeCortexSqlProcessor from airbyte.strategies import WriteStrategy - -from typing import Iterable, Any -import dpath.util - +from airbyte_cdk.destinations.vector_db_based.document_processor import METADATA_RECORD_ID_FIELD, METADATA_STREAM_FIELD +from airbyte_cdk.destinations.vector_db_based.indexer import Indexer from airbyte_cdk.models import ( AirbyteMessage, - ConfiguredAirbyteCatalog, AirbyteStateMessage, AirbyteStateType, AirbyteStreamState, + ConfiguredAirbyteCatalog, + DestinationSyncMode, StreamDescriptor, Type, ) +from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel # extra columns to be added to the Airbyte message DOCUMENT_ID_COLUMN = "document_id" @@ -34,6 +30,7 @@ PAGE_CONTENT_COLUMN = "page_content" EMBEDDING_COLUMN = "embedding" + class SnowflakeCortexIndexer(Indexer): config: SnowflakeCortexIndexingModel @@ -50,13 +47,15 @@ def _init_db_connection(self, config: SnowflakeCortexIndexingModel): database = config.database warehouse = config.warehouse role = config.role - self.cache = SnowflakeCache(account=account, username=username, password=password, database=database, warehouse=warehouse, role=role) + self.cache = SnowflakeCache( + account=account, username=username, password=password, database=database, warehouse=warehouse, role=role + ) self.defaut_processor = SnowflakeSqlProcessor(cache=self.cache) def _get_airbyte_messsages_from_chunks( - self, - document_chunks, - )-> Iterable[AirbyteMessage]: + self, + document_chunks, + ) -> Iterable[AirbyteMessage]: """Creates Airbyte messages from chunk records.""" airbyte_messages = [] for i in range(len(document_chunks)): @@ -68,20 +67,19 @@ def _get_airbyte_messsages_from_chunks( new_data[METADATA_COLUMN] = chunk.metadata new_data[PAGE_CONTENT_COLUMN] = chunk.page_content new_data[EMBEDDING_COLUMN] = chunk.embedding - message.record.data = new_data + message.record.data = new_data airbyte_messages.append(message) return airbyte_messages - - def _get_updated_catalog(self)-> ConfiguredAirbyteCatalog: + def _get_updated_catalog(self) -> ConfiguredAirbyteCatalog: """Adds following columns to catalog - document_id (primary key) -> unique per record/document - chunk_id -> unique per chunk - page_content -> text content of the page - metadata -> metadata of the record - embedding -> embedding of the page content + document_id (primary key) -> unique per record/document + chunk_id -> unique per chunk + page_content -> text content of the page + metadata -> metadata of the record + embedding -> embedding of the page content """ - updated_catalog = self.catalog + updated_catalog = self.catalog # update each stream in the catalog for stream in updated_catalog.streams: stream.stream.json_schema["properties"][DOCUMENT_ID_COLUMN] = {"type": "string"} @@ -93,14 +91,12 @@ def _get_updated_catalog(self)-> ConfiguredAirbyteCatalog: stream.primary_key = [[DOCUMENT_ID_COLUMN]] # TODO: do we want to set chunk_id as a constraint in the catalog return updated_catalog - - def _get_primary_keys(self, stream_name:str) -> Optional[str]: + def _get_primary_keys(self, stream_name: str) -> Optional[str]: for stream in self.catalog.streams: if stream.stream.name == stream_name: return stream.primary_key return None - def _get_record_primary_key(self, record: AirbyteMessage) -> Optional[str]: """Create primary key for the record by appending the primary keys.""" @@ -109,17 +105,16 @@ def _get_record_primary_key(self, record: AirbyteMessage) -> Optional[str]: if not primary_keys: return None - + primary_key = [] for key in primary_keys: try: primary_key.append(str(dpath.util.get(record.record.data, key))) except KeyError: primary_key.append("__not_found__") - # return a stringified version of all primary keys + # return a stringified version of all primary keys stringified_primary_key = "_".join(primary_key) return stringified_primary_key - def _create_document_id(self, record: AirbyteMessage) -> str: """Create document id based on the primary key values. Returns a random uuid if no primary key is found""" @@ -128,19 +123,16 @@ def _create_document_id(self, record: AirbyteMessage) -> str: if primary_key is not None: return f"Stream_{stream_name}_Key_{primary_key}" return str(uuid.uuid4().int) - def _create_state_message(self, stream, namespace, data: dict[str, Any]) -> AirbyteMessage: """Create a state message for the stream""" - stream = AirbyteStreamState( - stream_descriptor=StreamDescriptor(name=stream, namespace=namespace) - ) + stream = AirbyteStreamState(stream_descriptor=StreamDescriptor(name=stream, namespace=namespace)) return AirbyteMessage( type=Type.STATE, state=AirbyteStateMessage(type=AirbyteStateType.STREAM, stream=stream, data=data), ) - - def get_write_strategy(self, stream_name: str) -> WriteStrategy: + + def get_write_strategy(self, stream_name: str) -> WriteStrategy: for stream in self.catalog.streams: if stream.stream.name == stream_name: if stream.destination_sync_mode == DestinationSyncMode.overwrite: @@ -161,7 +153,6 @@ def index(self, document_chunks, namespace, stream): # update catalog to match all columns in the airbyte messages if airbyte_messages is not None and len(airbyte_messages) > 0: updated_catalog = self._get_updated_catalog() - print(f"\nUpdated catalog------------------------------\n: {updated_catalog}") cortex_processor = SnowflakeCortexSqlProcessor( cache=self.cache, catalog=updated_catalog, @@ -170,11 +161,11 @@ def index(self, document_chunks, namespace, stream): stream_names=[stream], ) cortex_processor.process_airbyte_messages(airbyte_messages, self.get_write_strategy(stream)) - def delete(self, delete_ids, namespace, stream): - # TODO: Confirm PyAirbyte SQL processor will handle deletes when needed. - pass + # TODO: Confirm PyAirbyte SQL processor will handle deletes when needed. + pass def check(self) -> Optional[str]: self.defaut_processor._get_tables_list() + # TODO: check to see if vector type is available in snowflake instance ? diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/examples/configured_catalog.json b/airbyte-integrations/connectors/destination-snowflake-cortex/examples/configured_catalog.json index 71f99b71ddec1..4985ce2b664b3 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/examples/configured_catalog.json +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/examples/configured_catalog.json @@ -1,19 +1,19 @@ { - "streams": [ - { - "stream": { - "name": "example_stream", - "json_schema": { - "$schema": "http://json-schema.org/draft-07/schema#", - "type": "object", - "properties": {} - }, - "supported_sync_modes": ["full_refresh", "incremental"], - "source_defined_cursor": false, - "default_cursor_field": ["column_name"] + "streams": [ + { + "stream": { + "name": "example_stream_3", + "json_schema": { + "$schema": "http://json-schema.org/draft-07/schema#", + "type": "object", + "properties": {} }, - "sync_mode": "full_refresh", - "destination_sync_mode": "overwrite" - } - ] - } \ No newline at end of file + "supported_sync_modes": ["full_refresh", "incremental"], + "source_defined_cursor": false, + "default_cursor_field": ["column_name"] + }, + "sync_mode": "full_refresh", + "destination_sync_mode": "overwrite" + } + ] +} diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/examples/messages.jsonl b/airbyte-integrations/connectors/destination-snowflake-cortex/examples/messages.jsonl index 80e15fb36948f..0e1ab13ff539e 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/examples/messages.jsonl +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/examples/messages.jsonl @@ -1,2 +1,2 @@ -{"type": "RECORD", "record": {"stream": "example_stream", "data": { "title": "value1", "field2": "value2" }, "emitted_at": 1625383200000}} -{"type": "RECORD", "record": {"stream": "example_stream", "data": { "title": "value2", "field2": "value2" }, "emitted_at": 1625383200000}} \ No newline at end of file +{"type": "RECORD", "record": {"stream": "example_stream_3", "data": { "title": "value1", "field2": "value2", "str_col":"text1", "int_col":1 }, "emitted_at": 1625383200000}} +{"type": "RECORD", "record": {"stream": "example_stream_3", "data": { "title": "value2", "field2": "value2", "str_col":"text2", "int_col":2 }, "emitted_at": 1625383200000}} \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index 76d1f7af7b532..3f28fb4301265 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -8,10 +8,11 @@ from airbyte_cdk.destinations.vector_db_based.embedder import OPEN_AI_VECTOR_SIZE from airbyte_cdk.destinations.vector_db_based.test_utils import BaseIntegrationTest from airbyte_cdk.models import DestinationSyncMode, Status -from destination_snowflake_cortex.indexer import SnowflakeCortexIndexer from destination_snowflake_cortex.destination import DestinationSnowflakeCortex -from snowflake import connector +from destination_snowflake_cortex.indexer import SnowflakeCortexIndexer from langchain.embeddings import OpenAIEmbeddings +from snowflake import connector + class SnowflakeCortexIntegrationTest(BaseIntegrationTest): def _init_snowflake_cortex(self): diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json new file mode 100644 index 0000000000000..02b41f43539f1 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json @@ -0,0 +1,23 @@ +{ + "processing": { + "text_fields": [ + "str_col" + ], + "metadata_fields": [ + "int_col" + ], + "chunk_size": 1000 + }, + "embedding": { + "mode": "openai", + "openai_key": "mykey" + }, + "indexing": { + "account": "MYACCOUNT", + "username": "MYUSERNAME", + "password": "xxxxxxx", + "database": "MYDATABASE", + "warehouse": "MYWAREHOUSE", + "role": "ACCOUNTADMIN" + } +} \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml index 4e22860ef1eb6..96bc9b560b2d3 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml @@ -14,7 +14,7 @@ data: connectorSubtype: vectorstore connectorType: destination definitionId: d9e5418d-f0f4-4d19-a8b1-5630543638e2 - dockerImageTag: 0.1.0 + dockerImageTag: 0.0.1 dockerRepository: airbyte/destination-snowflake-cortex documentationUrl: https://docs.airbyte.com/integrations/destinations/snowflake-cortex githubIssueLabel: destination-snowflake-cortex @@ -30,8 +30,8 @@ data: enabled: true oss: enabled: true - releaseDate: 2024-04-30 # TODO: Confirm the release date - releaseStage: alpha + releaseDate: 2024-05-10 # TODO: Confirm the release date + releaseStage: beta # TODO: Do we need this? If so, what should the values be? # resourceRequirements: # jobSpecific: @@ -39,7 +39,7 @@ data: # resourceRequirements: # memory_limit: 2Gi # memory_request: 2Gi - supportLevel: community + supportLevel: certified tags: - language:python - cdk:python diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py index f5393bbb867e3..1993575dde1f0 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py @@ -2,27 +2,19 @@ # Copyright (c) 2023 Airbyte, Inc., all rights reserved. # +from typing import cast from unittest.mock import ANY, MagicMock, Mock, call, patch -from typing import cast -from airbyte_cdk.models import ConfiguredAirbyteCatalog -from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel from airbyte.strategies import WriteStrategy +from airbyte_cdk.models import AirbyteMessage, AirbyteRecordMessage, AirbyteStateMessage, AirbyteStreamState, ConfiguredAirbyteCatalog, Type +from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel from destination_snowflake_cortex.indexer import ( - SnowflakeCortexIndexer, + CHUNK_ID_COLUMN, + DOCUMENT_ID_COLUMN, EMBEDDING_COLUMN, METADATA_COLUMN, PAGE_CONTENT_COLUMN, - DOCUMENT_ID_COLUMN, - CHUNK_ID_COLUMN -) -from airbyte_cdk.models import ( - AirbyteRecordMessage, - ConfiguredAirbyteCatalog, - AirbyteMessage, - AirbyteStreamState, - AirbyteStateMessage, - Type, + SnowflakeCortexIndexer, ) diff --git a/docs/integrations/destinations/snowflake-cortex.md b/docs/integrations/destinations/snowflake-cortex.md new file mode 100644 index 0000000000000..14f6a5db30d31 --- /dev/null +++ b/docs/integrations/destinations/snowflake-cortex.md @@ -0,0 +1,80 @@ +# Snowflake Cortex Destination + +## Overview + +This page guides you through the process of setting up the [Snowflake](https://pinecone.io/) as a vector destination. + +There are three parts to this: +* Processing - split up individual records in chunks so they will fit the context window and decide which fields to use as context and which are supplementary metadata. +* Embedding - convert the text into a vector representation using a pre-trained model (Currently, OpenAI's `text-embedding-ada-002` and Cohere's `embed-english-light-v2.0` are supported. Coming soon: Hugging Face's `e5-base-v2`). +* Indexing/Data storage - store the vectors in a vector (compatible) database for similarity search + +## Prerequisites + +To use the Snowflake Cortex destination, you'll need: + +- An account with API access for OpenAI or Cohere (depending on which embedding method you want to use) +- A Snowflake account with the required permissions to create tables and load data + +You'll need the following information to configure the destination: + +- **Embedding service API Key** - The API key for your OpenAI or Cohere account +- **Snowflake Account** - The account name for your Snowflake account +- **Snowflake User** - The user name for your Snowflake account +- **Snowflake Password** - The password for your Snowflake account +- **Snowflake Database** - The database name in Snowflake to load data into +- **Snowflake Warehouse** - The warehouse name in Snowflake to use +- **Snowflake Role** - The role name in Snowflake to use + + +## Features + +| Feature | Supported? | Notes | +| :----------------------------- | :------------------- | :---- | +| Full Refresh Sync | Yes | | +| Incremental - Append Sync | Yes | | +| Incremental - Append + Deduped | Yes | | + +## Data type mapping + +All fields specified as metadata fields will be stored in the metadata object of the document and can be used for filtering. The following data types are allowed for metadata fields: +* String +* Number (integer or floating point, gets converted to a 64 bit floating point) +* Booleans (true, false) +* List of String + +All other fields are ignored. + +## Configuration + +### Processing + +Each record will be split into text fields and meta fields as configured in the "Processing" section. All text fields are concatenated into a single string and then split into chunks of configured length. If specified, the metadata fields are stored as-is along with the embedded text chunks. Please note that meta data fields can only be used for filtering and not for retrieval and have to be of type string, number, boolean (all other values are ignored). Please note that there's a 40kb limit on the _total_ size of the metadata saved for each entry. Options around configuring the chunking process use the [Langchain Python library](https://python.langchain.com/docs/get_started/introduction). + +When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. + +The chunk length is measured in tokens produced by the `tiktoken` library. The maximum is 8191 tokens, which is the maximum length supported by the `text-embedding-ada-002` model. + +The stream name gets added as a metadata field `_ab_stream` to each document. If available, the primary key of the record is used to identify the document to avoid duplications when updated versions of records are indexed. It is added as the `_ab_record_id` metadata field. + +### Embedding + +The connector can use one of the following embedding methods: + +1. OpenAI - using [OpenAI API](https://beta.openai.com/docs/api-reference/text-embedding) , the connector will produce embeddings using the `text-embedding-ada-002` model with **1536 dimensions**. This integration will be constrained by the [speed of the OpenAI embedding API](https://platform.openai.com/docs/guides/rate-limits/overview). + +2. Cohere - using the [Cohere API](https://docs.cohere.com/reference/embed), the connector will produce embeddings using the `embed-english-light-v2.0` model with **1024 dimensions**. + +For testing purposes, it's also possible to use the [Fake embeddings](https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/fake) integration. It will generate random embeddings and is suitable to test a data pipeline without incurring embedding costs. + +### Indexing/Data Storage + +To get started, sign up for [Snowflake](https://www.snowflake.com/en/). Ensure you have set a database, and a data wareshouse before running the Snowflake Cortex destination. All streams will be indexed/stored into a table with the same name. In addition. +TODO: add what columns are stored and limitations on sizes + + +## CHANGELOG + +| Version | Date | Pull Request | Subject | +|:--------| :--------- |:--------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------| +| 0.0.1 | 2024-05-06 | [#37333](https://github.com/airbytehq/airbyte/pull/36807) | Add support for Snowflake as a Vector destination. From 0de044fc2e5bec45dcd7f8ad7ac358463bd6b44f Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Mon, 6 May 2024 17:21:54 -0700 Subject: [PATCH 17/39] addressed some review comments --- .../destination_snowflake_cortex/indexer.py | 4 +- .../integration_tests/sample_config.json | 40 +++++++++---------- 2 files changed, 20 insertions(+), 24 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 2dc43d54e2b05..b1c92ff8db89c 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -54,11 +54,11 @@ def _init_db_connection(self, config: SnowflakeCortexIndexingModel): def _get_airbyte_messsages_from_chunks( self, - document_chunks, + document_chunks: Iterable[Any], ) -> Iterable[AirbyteMessage]: """Creates Airbyte messages from chunk records.""" airbyte_messages = [] - for i in range(len(document_chunks)): + for i, chunk in enumerate(document_chunks): chunk = document_chunks[i] message = AirbyteMessage(type=Type.RECORD, record=chunk.record) new_data = {} diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json index 02b41f43539f1..07cd1e7a15773 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json @@ -1,23 +1,19 @@ { - "processing": { - "text_fields": [ - "str_col" - ], - "metadata_fields": [ - "int_col" - ], - "chunk_size": 1000 - }, - "embedding": { - "mode": "openai", - "openai_key": "mykey" - }, - "indexing": { - "account": "MYACCOUNT", - "username": "MYUSERNAME", - "password": "xxxxxxx", - "database": "MYDATABASE", - "warehouse": "MYWAREHOUSE", - "role": "ACCOUNTADMIN" - } -} \ No newline at end of file + "processing": { + "text_fields": ["str_col"], + "metadata_fields": ["int_col"], + "chunk_size": 1000 + }, + "embedding": { + "mode": "openai", + "openai_key": "mykey" + }, + "indexing": { + "account": "MYACCOUNT", + "username": "MYUSERNAME", + "password": "xxxxxxx", + "database": "MYDATABASE", + "warehouse": "MYWAREHOUSE", + "role": "ACCOUNTADMIN" + } +} From 830ec1429f64a78ec6f0bc7c0b3955f84b63ae70 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Mon, 6 May 2024 17:39:51 -0700 Subject: [PATCH 18/39] added spec unit test --- .../destination_snowflake_cortex/spec.json | 491 +++++++++++++++++- .../unit_tests/destination_test.py | 35 +- 2 files changed, 507 insertions(+), 19 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json index 520d5aa34ff33..ec696bc063012 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json @@ -1,20 +1,483 @@ { "documentationUrl": "https://docs.airbyte.com/integrations/destinations/snowflake-cortex", - "supported_destination_sync_modes": [ - "TODO, available options are: 'overwrite', 'append', and 'append_dedup'" - ], - "supportsIncremental": true, "connectionSpecification": { - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "Destination Snowflake Cortex", + "title": "Destination Config", + "description": "The configuration model for the Vector DB based destinations. This model is used to generate the UI for the destination configuration,\nas well as to provide type safety for the configuration passed to the destination.\n\nThe configuration model is composed of four parts:\n* Processing configuration\n* Embedding configuration\n* Indexing configuration\n* Advanced configuration\n\nProcessing, embedding and advanced configuration are provided by this base class, while the indexing configuration is provided by the destination connector in the sub class.", "type": "object", - "required": ["TODO -- fix me!"], - "additionalProperties": false, "properties": { - "TODO": { - "type": "string", - "description": "FIX ME" + "embedding": { + "title": "Embedding", + "description": "Embedding configuration", + "group": "embedding", + "type": "object", + "oneOf": [ + { + "title": "OpenAI", + "type": "object", + "properties": { + "mode": { + "title": "Mode", + "default": "openai", + "const": "openai", + "enum": [ + "openai" + ], + "type": "string" + }, + "openai_key": { + "title": "OpenAI API key", + "airbyte_secret": true, + "type": "string" + } + }, + "required": [ + "openai_key", + "mode" + ], + "description": "Use the OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions." + }, + { + "title": "Cohere", + "type": "object", + "properties": { + "mode": { + "title": "Mode", + "default": "cohere", + "const": "cohere", + "enum": [ + "cohere" + ], + "type": "string" + }, + "cohere_key": { + "title": "Cohere API key", + "airbyte_secret": true, + "type": "string" + } + }, + "required": [ + "cohere_key", + "mode" + ], + "description": "Use the Cohere API to embed text." + }, + { + "title": "Fake", + "type": "object", + "properties": { + "mode": { + "title": "Mode", + "default": "fake", + "const": "fake", + "enum": [ + "fake" + ], + "type": "string" + } + }, + "description": "Use a fake embedding made out of random vectors with 1536 embedding dimensions. This is useful for testing the data pipeline without incurring any costs.", + "required": [ + "mode" + ] + }, + { + "title": "Azure OpenAI", + "type": "object", + "properties": { + "mode": { + "title": "Mode", + "default": "azure_openai", + "const": "azure_openai", + "enum": [ + "azure_openai" + ], + "type": "string" + }, + "openai_key": { + "title": "Azure OpenAI API key", + "description": "The API key for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource", + "airbyte_secret": true, + "type": "string" + }, + "api_base": { + "title": "Resource base URL", + "description": "The base URL for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource", + "examples": [ + "https://your-resource-name.openai.azure.com" + ], + "type": "string" + }, + "deployment": { + "title": "Deployment", + "description": "The deployment for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource", + "examples": [ + "your-resource-name" + ], + "type": "string" + } + }, + "required": [ + "openai_key", + "api_base", + "deployment", + "mode" + ], + "description": "Use the Azure-hosted OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions." + }, + { + "title": "OpenAI-compatible", + "type": "object", + "properties": { + "mode": { + "title": "Mode", + "default": "openai_compatible", + "const": "openai_compatible", + "enum": [ + "openai_compatible" + ], + "type": "string" + }, + "api_key": { + "title": "API key", + "default": "", + "airbyte_secret": true, + "type": "string" + }, + "base_url": { + "title": "Base URL", + "description": "The base URL for your OpenAI-compatible service", + "examples": [ + "https://your-service-name.com" + ], + "type": "string" + }, + "model_name": { + "title": "Model name", + "description": "The name of the model to use for embedding", + "default": "text-embedding-ada-002", + "examples": [ + "text-embedding-ada-002" + ], + "type": "string" + }, + "dimensions": { + "title": "Embedding dimensions", + "description": "The number of dimensions the embedding model is generating", + "examples": [ + 1536, + 384 + ], + "type": "integer" + } + }, + "required": [ + "base_url", + "dimensions", + "mode" + ], + "description": "Use a service that's compatible with the OpenAI API to embed text." + } + ] + }, + "processing": { + "title": "ProcessingConfigModel", + "type": "object", + "properties": { + "chunk_size": { + "title": "Chunk size", + "description": "Size of chunks in tokens to store in vector store (make sure it is not too big for the context if your LLM)", + "maximum": 8191, + "minimum": 1, + "type": "integer" + }, + "chunk_overlap": { + "title": "Chunk overlap", + "description": "Size of overlap between chunks in tokens to store in vector store to better capture relevant context", + "default": 0, + "type": "integer" + }, + "text_fields": { + "title": "Text fields to embed", + "description": "List of fields in the record that should be used to calculate the embedding. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.", + "default": [], + "always_show": true, + "examples": [ + "text", + "user.name", + "users.*.name" + ], + "type": "array", + "items": { + "type": "string" + } + }, + "metadata_fields": { + "title": "Fields to store as metadata", + "description": "List of fields in the record that should be stored as metadata. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered metadata fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. When specifying nested paths, all matching values are flattened into an array set to a field named by the path.", + "default": [], + "always_show": true, + "examples": [ + "age", + "user", + "user.name" + ], + "type": "array", + "items": { + "type": "string" + } + }, + "text_splitter": { + "title": "Text splitter", + "description": "Split text fields into chunks based on the specified method.", + "type": "object", + "oneOf": [ + { + "title": "By Separator", + "type": "object", + "properties": { + "mode": { + "title": "Mode", + "default": "separator", + "const": "separator", + "enum": [ + "separator" + ], + "type": "string" + }, + "separators": { + "title": "Separators", + "description": "List of separator strings to split text fields by. The separator itself needs to be wrapped in double quotes, e.g. to split by the dot character, use \".\". To split by a newline, use \"\\n\".", + "default": [ + "\"\\n\\n\"", + "\"\\n\"", + "\" \"", + "\"\"" + ], + "type": "array", + "items": { + "type": "string" + } + }, + "keep_separator": { + "title": "Keep separator", + "description": "Whether to keep the separator in the resulting chunks", + "default": false, + "type": "boolean" + } + }, + "description": "Split the text by the list of separators until the chunk size is reached, using the earlier mentioned separators where possible. This is useful for splitting text fields by paragraphs, sentences, words, etc.", + "required": [ + "mode" + ] + }, + { + "title": "By Markdown header", + "type": "object", + "properties": { + "mode": { + "title": "Mode", + "default": "markdown", + "const": "markdown", + "enum": [ + "markdown" + ], + "type": "string" + }, + "split_level": { + "title": "Split level", + "description": "Level of markdown headers to split text fields by. Headings down to the specified level will be used as split points", + "default": 1, + "minimum": 1, + "maximum": 6, + "type": "integer" + } + }, + "description": "Split the text by Markdown headers down to the specified header level. If the chunk size fits multiple sections, they will be combined into a single chunk.", + "required": [ + "mode" + ] + }, + { + "title": "By Programming Language", + "type": "object", + "properties": { + "mode": { + "title": "Mode", + "default": "code", + "const": "code", + "enum": [ + "code" + ], + "type": "string" + }, + "language": { + "title": "Language", + "description": "Split code in suitable places based on the programming language", + "enum": [ + "cpp", + "go", + "java", + "js", + "php", + "proto", + "python", + "rst", + "ruby", + "rust", + "scala", + "swift", + "markdown", + "latex", + "html", + "sol" + ], + "type": "string" + } + }, + "required": [ + "language", + "mode" + ], + "description": "Split the text by suitable delimiters based on the programming language. This is useful for splitting code into chunks." + } + ] + }, + "field_name_mappings": { + "title": "Field name mappings", + "description": "List of fields to rename. Not applicable for nested fields, but can be used to rename fields already flattened via dot notation.", + "default": [], + "type": "array", + "items": { + "title": "FieldNameMappingConfigModel", + "type": "object", + "properties": { + "from_field": { + "title": "From field name", + "description": "The field name in the source", + "type": "string" + }, + "to_field": { + "title": "To field name", + "description": "The field name to use in the destination", + "type": "string" + } + }, + "required": [ + "from_field", + "to_field" + ] + } + } + }, + "required": [ + "chunk_size" + ], + "group": "processing" + }, + "omit_raw_text": { + "title": "Do not store raw text", + "description": "Do not store the text that gets embedded along with the vector and the metadata in the destination. If set to true, only the vector and the metadata will be stored - in this case raw text for LLM use cases needs to be retrieved from another source.", + "default": false, + "group": "advanced", + "type": "boolean" + }, + "indexing": { + "title": "Indexing", + "type": "object", + "properties": { + "account": { + "title": "Account", + "description": "Enter the account name you want to use to access the database.", + "airbyte_secret": true, + "examples": [ + "xxx.us-east-2.aws" + ], + "type": "string" + }, + "username": { + "title": "Username", + "description": "Enter the name of the user you want to use to access the database", + "airbyte_secret": true, + "examples": [ + "AIRBYTE_USER" + ], + "type": "string" + }, + "password": { + "title": "Password", + "description": "Enter the password associated with the user you entered above", + "airbyte_secret": true, + "type": "string" + }, + "database": { + "title": "Database", + "description": "Enter the name of the database that you want to sync data into", + "airbyte_secret": true, + "examples": [ + "AIRBYTE_DATABASE" + ], + "type": "string" + }, + "warehouse": { + "title": "Warehouse", + "description": "Enter the name of the warehouse that you want to sync data into", + "airbyte_secret": true, + "examples": [ + "AIRBYTE_WAREHOUSE" + ], + "type": "string" + }, + "role": { + "title": "Role", + "description": "Enter the name of the role that you want to sync data into", + "airbyte_secret": true, + "examples": [ + "AIRBYTE_ROLE", + "ACCOUNTADMIN" + ], + "type": "string" + } + }, + "required": [ + "account", + "username", + "password", + "database", + "warehouse", + "role" + ], + "description": "Snowflake can be used to store vector data and retrieve embeddings.", + "group": "indexing" + } + }, + "required": [ + "embedding", + "processing", + "indexing" + ], + "groups": [ + { + "id": "processing", + "title": "Processing" + }, + { + "id": "embedding", + "title": "Embedding" + }, + { + "id": "indexing", + "title": "Indexing" + }, + { + "id": "advanced", + "title": "Advanced" } - } - } -} + ] + }, + "supportsIncremental": true, + "supported_destination_sync_modes": [ + "overwrite", + "append", + "append_dedup" + ] +} \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py index 907dd8041f9f0..e3e1776991e47 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py @@ -4,9 +4,34 @@ from airbyte_cdk.models import ConnectorSpecification from destination_snowflake_cortex.destination import DestinationSnowflakeCortex +import unittest +from unittest.mock import MagicMock, Mock, patch -#def test_spec(self): -# destination = DestinationSnowflakeCortex() -# result = destination.spec() -# -# self.assertIsInstance(result, ConnectorSpecification) +from airbyte_cdk import AirbyteLogger +from airbyte_cdk.models import ConnectorSpecification, Status +from destination_snowflake_cortex.config import ConfigModel +from destination_snowflake_cortex.destination import DestinationSnowflakeCortex + + +class TestDestinationSnowflakeCortex(unittest.TestCase): + def setUp(self): + self.config = { + "processing": {"text_fields": ["str_col"], "metadata_fields": [], "chunk_size": 1000}, + "embedding": {"mode": "openai", "openai_key": "mykey"}, + "indexing": { + "account": "MYACCOUNT", + "username": "MYUSERNAME", + "password": "xxxxxxx", + "database": "MYDATABASE", + "warehouse": "MYWAREHOUSE", + "role": "ACCOUNTADMIN" + }, + } + self.config_model = ConfigModel.parse_obj(self.config) + self.logger = AirbyteLogger() + + def test_spec(self): + destination = DestinationSnowflakeCortex() + result = destination.spec() + + self.assertIsInstance(result, ConnectorSpecification) From e6b930a869279839d0cf22051570b50e663766f2 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Mon, 6 May 2024 18:13:14 -0700 Subject: [PATCH 19/39] added icon plus format fix --- .../.dockerignore | 2 +- .../destination-snowflake-cortex/README.md | 2 +- .../destination_snowflake_cortex/spec.json | 156 ++++-------------- .../destination-snowflake-cortex/icon.svg | 1 + .../metadata.yaml | 15 +- .../unit_tests/destination_test.py | 2 - 6 files changed, 44 insertions(+), 134 deletions(-) create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/icon.svg diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/.dockerignore b/airbyte-integrations/connectors/destination-snowflake-cortex/.dockerignore index 843a2b72b1ba7..33a6ac4323c2d 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/.dockerignore +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/.dockerignore @@ -1,6 +1,6 @@ * !Dockerfile !main.py -!destination_pinecone +!destination_snowflake_cortex !pyproject.toml !poetry.lock \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/README.md b/airbyte-integrations/connectors/destination-snowflake-cortex/README.md index 9205c44ef2781..464411f269711 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/README.md +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/README.md @@ -29,7 +29,7 @@ and place them into `secrets/config.json`. ``` poetry run python main.py spec poetry run python main.py check --config secrets/config.json -poetry run python main.py write --config secrets/config.json --catalog integration_tests/configured_catalog.json +cat examples/messages.jsonl | poetry run python main.py write --config secrets/config.json --catalog integration_tests/configured_catalog.json ``` ### Locally running the connector docker image diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json index ec696bc063012..4c730e0f7fd76 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json @@ -19,9 +19,7 @@ "title": "Mode", "default": "openai", "const": "openai", - "enum": [ - "openai" - ], + "enum": ["openai"], "type": "string" }, "openai_key": { @@ -30,10 +28,7 @@ "type": "string" } }, - "required": [ - "openai_key", - "mode" - ], + "required": ["openai_key", "mode"], "description": "Use the OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions." }, { @@ -44,9 +39,7 @@ "title": "Mode", "default": "cohere", "const": "cohere", - "enum": [ - "cohere" - ], + "enum": ["cohere"], "type": "string" }, "cohere_key": { @@ -55,10 +48,7 @@ "type": "string" } }, - "required": [ - "cohere_key", - "mode" - ], + "required": ["cohere_key", "mode"], "description": "Use the Cohere API to embed text." }, { @@ -69,16 +59,12 @@ "title": "Mode", "default": "fake", "const": "fake", - "enum": [ - "fake" - ], + "enum": ["fake"], "type": "string" } }, "description": "Use a fake embedding made out of random vectors with 1536 embedding dimensions. This is useful for testing the data pipeline without incurring any costs.", - "required": [ - "mode" - ] + "required": ["mode"] }, { "title": "Azure OpenAI", @@ -88,9 +74,7 @@ "title": "Mode", "default": "azure_openai", "const": "azure_openai", - "enum": [ - "azure_openai" - ], + "enum": ["azure_openai"], "type": "string" }, "openai_key": { @@ -102,26 +86,17 @@ "api_base": { "title": "Resource base URL", "description": "The base URL for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource", - "examples": [ - "https://your-resource-name.openai.azure.com" - ], + "examples": ["https://your-resource-name.openai.azure.com"], "type": "string" }, "deployment": { "title": "Deployment", "description": "The deployment for your Azure OpenAI resource. You can find this in the Azure portal under your Azure OpenAI resource", - "examples": [ - "your-resource-name" - ], + "examples": ["your-resource-name"], "type": "string" } }, - "required": [ - "openai_key", - "api_base", - "deployment", - "mode" - ], + "required": ["openai_key", "api_base", "deployment", "mode"], "description": "Use the Azure-hosted OpenAI API to embed text. This option is using the text-embedding-ada-002 model with 1536 embedding dimensions." }, { @@ -132,9 +107,7 @@ "title": "Mode", "default": "openai_compatible", "const": "openai_compatible", - "enum": [ - "openai_compatible" - ], + "enum": ["openai_compatible"], "type": "string" }, "api_key": { @@ -146,35 +119,24 @@ "base_url": { "title": "Base URL", "description": "The base URL for your OpenAI-compatible service", - "examples": [ - "https://your-service-name.com" - ], + "examples": ["https://your-service-name.com"], "type": "string" }, "model_name": { "title": "Model name", "description": "The name of the model to use for embedding", "default": "text-embedding-ada-002", - "examples": [ - "text-embedding-ada-002" - ], + "examples": ["text-embedding-ada-002"], "type": "string" }, "dimensions": { "title": "Embedding dimensions", "description": "The number of dimensions the embedding model is generating", - "examples": [ - 1536, - 384 - ], + "examples": [1536, 384], "type": "integer" } }, - "required": [ - "base_url", - "dimensions", - "mode" - ], + "required": ["base_url", "dimensions", "mode"], "description": "Use a service that's compatible with the OpenAI API to embed text." } ] @@ -201,11 +163,7 @@ "description": "List of fields in the record that should be used to calculate the embedding. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered text fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array.", "default": [], "always_show": true, - "examples": [ - "text", - "user.name", - "users.*.name" - ], + "examples": ["text", "user.name", "users.*.name"], "type": "array", "items": { "type": "string" @@ -216,11 +174,7 @@ "description": "List of fields in the record that should be stored as metadata. The field list is applied to all streams in the same way and non-existing fields are ignored. If none are defined, all fields are considered metadata fields. When specifying text fields, you can access nested fields in the record by using dot notation, e.g. `user.name` will access the `name` field in the `user` object. It's also possible to use wildcards to access all fields in an object, e.g. `users.*.name` will access all `names` fields in all entries of the `users` array. When specifying nested paths, all matching values are flattened into an array set to a field named by the path.", "default": [], "always_show": true, - "examples": [ - "age", - "user", - "user.name" - ], + "examples": ["age", "user", "user.name"], "type": "array", "items": { "type": "string" @@ -239,20 +193,13 @@ "title": "Mode", "default": "separator", "const": "separator", - "enum": [ - "separator" - ], + "enum": ["separator"], "type": "string" }, "separators": { "title": "Separators", "description": "List of separator strings to split text fields by. The separator itself needs to be wrapped in double quotes, e.g. to split by the dot character, use \".\". To split by a newline, use \"\\n\".", - "default": [ - "\"\\n\\n\"", - "\"\\n\"", - "\" \"", - "\"\"" - ], + "default": ["\"\\n\\n\"", "\"\\n\"", "\" \"", "\"\""], "type": "array", "items": { "type": "string" @@ -266,9 +213,7 @@ } }, "description": "Split the text by the list of separators until the chunk size is reached, using the earlier mentioned separators where possible. This is useful for splitting text fields by paragraphs, sentences, words, etc.", - "required": [ - "mode" - ] + "required": ["mode"] }, { "title": "By Markdown header", @@ -278,9 +223,7 @@ "title": "Mode", "default": "markdown", "const": "markdown", - "enum": [ - "markdown" - ], + "enum": ["markdown"], "type": "string" }, "split_level": { @@ -293,9 +236,7 @@ } }, "description": "Split the text by Markdown headers down to the specified header level. If the chunk size fits multiple sections, they will be combined into a single chunk.", - "required": [ - "mode" - ] + "required": ["mode"] }, { "title": "By Programming Language", @@ -305,9 +246,7 @@ "title": "Mode", "default": "code", "const": "code", - "enum": [ - "code" - ], + "enum": ["code"], "type": "string" }, "language": { @@ -334,10 +273,7 @@ "type": "string" } }, - "required": [ - "language", - "mode" - ], + "required": ["language", "mode"], "description": "Split the text by suitable delimiters based on the programming language. This is useful for splitting code into chunks." } ] @@ -362,16 +298,11 @@ "type": "string" } }, - "required": [ - "from_field", - "to_field" - ] + "required": ["from_field", "to_field"] } } }, - "required": [ - "chunk_size" - ], + "required": ["chunk_size"], "group": "processing" }, "omit_raw_text": { @@ -389,18 +320,14 @@ "title": "Account", "description": "Enter the account name you want to use to access the database.", "airbyte_secret": true, - "examples": [ - "xxx.us-east-2.aws" - ], + "examples": ["xxx.us-east-2.aws"], "type": "string" }, "username": { "title": "Username", "description": "Enter the name of the user you want to use to access the database", "airbyte_secret": true, - "examples": [ - "AIRBYTE_USER" - ], + "examples": ["AIRBYTE_USER"], "type": "string" }, "password": { @@ -413,28 +340,21 @@ "title": "Database", "description": "Enter the name of the database that you want to sync data into", "airbyte_secret": true, - "examples": [ - "AIRBYTE_DATABASE" - ], + "examples": ["AIRBYTE_DATABASE"], "type": "string" }, "warehouse": { "title": "Warehouse", "description": "Enter the name of the warehouse that you want to sync data into", "airbyte_secret": true, - "examples": [ - "AIRBYTE_WAREHOUSE" - ], + "examples": ["AIRBYTE_WAREHOUSE"], "type": "string" }, "role": { "title": "Role", "description": "Enter the name of the role that you want to sync data into", "airbyte_secret": true, - "examples": [ - "AIRBYTE_ROLE", - "ACCOUNTADMIN" - ], + "examples": ["AIRBYTE_ROLE", "ACCOUNTADMIN"], "type": "string" } }, @@ -450,11 +370,7 @@ "group": "indexing" } }, - "required": [ - "embedding", - "processing", - "indexing" - ], + "required": ["embedding", "processing", "indexing"], "groups": [ { "id": "processing", @@ -475,9 +391,5 @@ ] }, "supportsIncremental": true, - "supported_destination_sync_modes": [ - "overwrite", - "append", - "append_dedup" - ] -} \ No newline at end of file + "supported_destination_sync_modes": ["overwrite", "append", "append_dedup"] +} diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/icon.svg b/airbyte-integrations/connectors/destination-snowflake-cortex/icon.svg new file mode 100644 index 0000000000000..93e07f01d2373 --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/icon.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml index 96bc9b560b2d3..fae25e98fe70f 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml @@ -10,7 +10,7 @@ data: - api.cohere.ai - ${embedding.api_base} connectorBuildOptions: - baseImage: docker.io/airbyte/python-connector-base:1.2.0@sha256:c22a9d97464b69d6ef01898edf3f8612dc11614f05a84984451dde195f337db9 + baseImage: docker.io/airbyte/python-connector-base:1.1.0@sha256:bd98f6505c6764b1b5f99d3aedc23dfc9e9af631a62533f60eb32b1d3dbab20c connectorSubtype: vectorstore connectorType: destination definitionId: d9e5418d-f0f4-4d19-a8b1-5630543638e2 @@ -32,13 +32,12 @@ data: enabled: true releaseDate: 2024-05-10 # TODO: Confirm the release date releaseStage: beta - # TODO: Do we need this? If so, what should the values be? - # resourceRequirements: - # jobSpecific: - # - jobType: sync - # resourceRequirements: - # memory_limit: 2Gi - # memory_request: 2Gi + resourceRequirements: + jobSpecific: + - jobType: sync + resourceRequirements: + memory_limit: 2Gi + memory_request: 2Gi supportLevel: certified tags: - language:python diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py index e3e1776991e47..f721a839efcf0 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py @@ -2,8 +2,6 @@ # Copyright (c) 2023 Airbyte, Inc., all rights reserved. # -from airbyte_cdk.models import ConnectorSpecification -from destination_snowflake_cortex.destination import DestinationSnowflakeCortex import unittest from unittest.mock import MagicMock, Mock, patch From 3119fd79d8505ad00d305a23a65e20edce247e46 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Mon, 6 May 2024 18:14:08 -0700 Subject: [PATCH 20/39] added new poetry.lock file --- .../destination-snowflake-cortex/poetry.lock | 29 +++++++++---------- 1 file changed, 14 insertions(+), 15 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock index a74dd3649f87f..75500b6046e6d 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock @@ -149,7 +149,7 @@ ulid = "^1.1" type = "git" url = "https://github.com/airbytehq/PyAirbyte.git" reference = "bindi/snowflake_processor_for_cortex" -resolved_reference = "de1be1d1c26462caa49781582ce540d94eca4777" +resolved_reference = "ac865f4aab6905a238bfc119e11aee1b08d7447d" [[package]] name = "airbyte-api" @@ -1066,13 +1066,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"] [[package]] name = "google-cloud-bigquery" -version = "3.21.0" +version = "3.22.0" description = "Google BigQuery API client library" optional = false python-versions = ">=3.7" files = [ - {file = "google-cloud-bigquery-3.21.0.tar.gz", hash = "sha256:6265c39f9d5bdf50f11cb81a9c2a0605d285df34ac139de0d2333b1250add0ff"}, - {file = "google_cloud_bigquery-3.21.0-py2.py3-none-any.whl", hash = "sha256:83a090aae16b3a687ef22e7b0a1b551e18da615b1c4855c5f312f198959e7739"}, + {file = "google-cloud-bigquery-3.22.0.tar.gz", hash = "sha256:957591e6f948d7cb4aa0f7a8e4e47b4617cd7f0269e28a71c37953c39b6e8a4c"}, + {file = "google_cloud_bigquery-3.22.0-py2.py3-none-any.whl", hash = "sha256:80c8e31a23b68b7d3ae5d138c9a9edff69d100ee812db73a5e63c79a13a5063d"}, ] [package.dependencies] @@ -1483,13 +1483,13 @@ six = "*" [[package]] name = "jinja2" -version = "3.1.3" +version = "3.1.4" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" files = [ - {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"}, - {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"}, + {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"}, + {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"}, ] [package.dependencies] @@ -1798,13 +1798,13 @@ extended-testing = ["lxml (>=5.1.0,<6.0.0)"] [[package]] name = "langsmith" -version = "0.1.53" +version = "0.1.54" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langsmith-0.1.53-py3-none-any.whl", hash = "sha256:867f9c4176f92e019398dda22a210db68c98a810234a5266cf4609236dcd3043"}, - {file = "langsmith-0.1.53.tar.gz", hash = "sha256:0ac271080fb67806f1b2c5de0e7c698c45a57b18b5d46e984e9b15dd38f0bc42"}, + {file = "langsmith-0.1.54-py3-none-any.whl", hash = "sha256:e8ba2758dbdff0fccb35337c28a5ab641dd980b22e178d390b72a15c9ae9caff"}, + {file = "langsmith-0.1.54.tar.gz", hash = "sha256:86f5a90e48303de897f37a893f8bb635eabdaf23e674099e8bc0f2e9ca2f8faf"}, ] [package.dependencies] @@ -2767,17 +2767,16 @@ email = ["email-validator (>=1.0.3)"] [[package]] name = "pygments" -version = "2.17.2" +version = "2.18.0" description = "Pygments is a syntax highlighting package written in Python." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"}, - {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"}, + {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"}, + {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"}, ] [package.extras] -plugins = ["importlib-metadata"] windows-terminal = ["colorama (>=0.4.6)"] [[package]] From 89681fa32ea75c610e7a6b6c981a9c355aaf1663 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Fri, 10 May 2024 12:06:48 -0700 Subject: [PATCH 21/39] pinned PyAirbyte version --- .../destination-snowflake-cortex/README.md | 7 +- .../destination.py | 8 +- .../destination_snowflake_cortex/indexer.py | 9 +- .../integration_tests/integration_test.py | 8 +- .../destination-snowflake-cortex/poetry.lock | 231 +++++++++--------- .../pyproject.toml | 2 +- 6 files changed, 133 insertions(+), 132 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/README.md b/airbyte-integrations/connectors/destination-snowflake-cortex/README.md index 464411f269711..f5617d1756366 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/README.md +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/README.md @@ -132,10 +132,9 @@ If your connector requires to create or destroy resources for use during accepta See [airbyte-ci documentation](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md#connectors-test-command) ## 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 +All of your dependencies should go in `pyproject.toml` +* required for your connector to work need to go to `[tool.poetry.dependencies]` list. +* required for the testing need to go to `[tool.poetry.group.dev.dependencies]` list ### 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? diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py index a3de78e5e3ffa..30488ebeec855 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -3,7 +3,9 @@ # -from typing import Any, Iterable, Mapping +import os + +from typing import Any, Iterable, Mapping, Optional from airbyte_cdk import AirbyteLogger from airbyte_cdk.destinations import Destination @@ -22,7 +24,7 @@ class DestinationSnowflakeCortex(Destination): indexer: Indexer embedder: Embedder - def _init_indexer(self, config: ConfigModel, configured_catalog: ConfiguredAirbyteCatalog | None = None): + def _init_indexer(self, config: ConfigModel, configured_catalog: Optional[ConfiguredAirbyteCatalog] = None): self.embedder = create_from_config(config.embedding, config.processing) self.indexer = SnowflakeCortexIndexer(config.indexing, self.embedder.embedding_dimensions, configured_catalog) @@ -46,6 +48,8 @@ def check(self, logger: AirbyteLogger, config: Mapping[str, Any]) -> AirbyteConn return AirbyteConnectionStatus(status=Status.FAILED, message=f"An exception occurred: {repr(e)}") def spec(self, *args: Any, **kwargs: Any) -> ConnectorSpecification: + do_not_track = os.environ.get("DO_NOT_TRACK") + print(f"Coming in spec. Analytics is {do_not_track}") return ConnectorSpecification( documentationUrl="https://docs.airbyte.com/integrations/destinations/snowflake-cortex", supportsIncremental=True, diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index b1c92ff8db89c..b18f1185a0c9b 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -87,9 +87,9 @@ def _get_updated_catalog(self) -> ConfiguredAirbyteCatalog: stream.stream.json_schema["properties"][PAGE_CONTENT_COLUMN] = {"type": "string"} stream.stream.json_schema["properties"][METADATA_COLUMN] = {"type": "object"} stream.stream.json_schema["properties"][EMBEDDING_COLUMN] = {"type": "vector_array"} - # set primary key, okay to override if already set - stream.primary_key = [[DOCUMENT_ID_COLUMN]] - # TODO: do we want to set chunk_id as a constraint in the catalog + # set primary key only if there are existing primary keys + if stream.primary_key: + stream.primary_key = [[DOCUMENT_ID_COLUMN]] return updated_catalog def _get_primary_keys(self, stream_name: str) -> Optional[str]: @@ -163,7 +163,8 @@ def index(self, document_chunks, namespace, stream): cortex_processor.process_airbyte_messages(airbyte_messages, self.get_write_strategy(stream)) def delete(self, delete_ids, namespace, stream): - # TODO: Confirm PyAirbyte SQL processor will handle deletes when needed. + # delete is generally used when we use full refresh/overwrite strategy. + # PyAirbyte's sync will take care of overwriting the records. Hence, we don't need to do anything here. pass def check(self) -> Optional[str]: diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index 3f28fb4301265..3784a2c27a288 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -160,8 +160,8 @@ def test_write(self): # todo: test merge once merge works in PyAirbyte # perform a query using OpenAI embedding - embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) - result = self._run_cosine_similarity(embeddings.embed_query("feline animals"), "mystream") - assert(len(result) == 1) - result[0] == "str_col: Cats are nice" + #embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) + #result = self._run_cosine_similarity(embeddings.embed_query("feline animals"), "mystream") + #assert(len(result) == 1) + #result[0] == "str_col: Cats are nice" diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock index 75500b6046e6d..162baf43e274f 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock @@ -112,44 +112,40 @@ frozenlist = ">=1.1.0" [[package]] name = "airbyte" -version = "0.0.0" +version = "0.10.5" description = "PyAirbyte" optional = false -python-versions = ">=3.9,<4.0" -files = [] -develop = false +python-versions = "<4.0,>=3.9" +files = [ + {file = "airbyte-0.10.5-py3-none-any.whl", hash = "sha256:6cfae71c5c2dd5ccf5ad47610feec323adf61c9b6b7f42cd942c2e1f4bf7ba40"}, + {file = 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= false python-versions = ">=3.7" files = [ - {file = "tomlkit-0.12.4-py3-none-any.whl", hash = "sha256:5cd82d48a3dd89dee1f9d64420aa20ae65cfbd00668d6f094d7578a78efbb77b"}, - {file = "tomlkit-0.12.4.tar.gz", hash = "sha256:7ca1cfc12232806517a8515047ba66a19369e71edf2439d0f5824f91032b6cc3"}, + {file = "tomlkit-0.12.5-py3-none-any.whl", hash = "sha256:af914f5a9c59ed9d0762c7b64d3b5d5df007448eb9cd2edc8a46b1eafead172f"}, + {file = "tomlkit-0.12.5.tar.gz", hash = "sha256:eef34fba39834d4d6b73c9ba7f3e4d1c417a4e56f89a7e96e090dd0d24b8fb3c"}, ] [[package]] @@ -3951,4 +3948,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "^3.9,<3.12" -content-hash = "4956fcc8e31ec641d43a0225cb1093d7a7ce2a3074278b2808d0734575118ebb" +content-hash = "7a6b47fdf5e2208d84b0b53cc821ca5aa647b75bb62ba5bf562e49e2ad251ec4" diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml b/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml index c70514f4e7860..d6cc60cee873c 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml @@ -19,7 +19,7 @@ include = "destination_snowflake_cortex" [tool.poetry.dependencies] python = "^3.9,<3.12" airbyte-cdk = {version = "^0.81.6", extras = ["vector-db-based"]} -airbyte = { git = "https://github.com/airbytehq/PyAirbyte.git", branch = "bindi/snowflake_processor_for_cortex" } +airbyte = "0.10.5" [tool.poetry.group.dev.dependencies] From d5fd4eff3aa53a88720c9f0a30cbdfb29747162d Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Fri, 10 May 2024 12:30:41 -0700 Subject: [PATCH 22/39] chore: format fix --- .../destination_snowflake_cortex/destination.py | 5 ++--- .../destination_snowflake_cortex/indexer.py | 2 +- 2 files changed, 3 insertions(+), 4 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py index 30488ebeec855..316662dbba4b0 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -3,8 +3,7 @@ # -import os - +import os from typing import Any, Iterable, Mapping, Optional from airbyte_cdk import AirbyteLogger @@ -24,7 +23,7 @@ class DestinationSnowflakeCortex(Destination): indexer: Indexer embedder: Embedder - def _init_indexer(self, config: ConfigModel, configured_catalog: Optional[ConfiguredAirbyteCatalog] = None): + def _init_indexer(self, config: ConfigModel, configured_catalog: Optional[ConfiguredAirbyteCatalog] = None): self.embedder = create_from_config(config.embedding, config.processing) self.indexer = SnowflakeCortexIndexer(config.indexing, self.embedder.embedding_dimensions, configured_catalog) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index b18f1185a0c9b..6936c54eecd8f 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -163,7 +163,7 @@ def index(self, document_chunks, namespace, stream): cortex_processor.process_airbyte_messages(airbyte_messages, self.get_write_strategy(stream)) def delete(self, delete_ids, namespace, stream): - # delete is generally used when we use full refresh/overwrite strategy. + # delete is generally used when we use full refresh/overwrite strategy. # PyAirbyte's sync will take care of overwriting the records. Hence, we don't need to do anything here. pass From dd6087452daa90d9dd4dd42ed2477d17345420da Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Fri, 10 May 2024 13:03:16 -0700 Subject: [PATCH 23/39] fixing unit tests --- .../unit_tests/snowflake_cortex_indexer_test.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py index 1993575dde1f0..38cdac5e34533 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py @@ -2,7 +2,7 @@ # Copyright (c) 2023 Airbyte, Inc., all rights reserved. # -from typing import cast +from typing import cast, Optional from unittest.mock import ANY, MagicMock, Mock, call, patch from airbyte.strategies import WriteStrategy @@ -18,7 +18,7 @@ ) -def _create_snowflake_cortex_indexer(catalog:ConfiguredAirbyteCatalog | None = None ): +def _create_snowflake_cortex_indexer(catalog:Optional[ConfiguredAirbyteCatalog] ): config = SnowflakeCortexIndexingModel(account="account", username="username", password="password", database="database", warehouse="warehouse", role="role") with patch.object(SnowflakeCortexIndexer, '_init_db_connection', side_effect=None): indexer = SnowflakeCortexIndexer(config, 3, Mock(ConfiguredAirbyteCatalog) if catalog is None else catalog) From af2a79568c63c430db96d30f64aad359c17ef43d Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Fri, 10 May 2024 14:07:36 -0700 Subject: [PATCH 24/39] dummy commit to trigger build --- .../destination_snowflake_cortex/indexer.py | 1 - 1 file changed, 1 deletion(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 6936c54eecd8f..238781ae85c0e 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -146,7 +146,6 @@ def get_write_strategy(self, stream_name: str) -> WriteStrategy: def index(self, document_chunks, namespace, stream): # get list of airbyte messages from the document chunks airbyte_messages = self._get_airbyte_messsages_from_chunks(document_chunks) - # assuming it's per stream, let's add a stream specific state message to the list # todo: remove state messages and see if things still work airbyte_messages.append(self._create_state_message(stream, namespace, {})) From b28bc0721c3f9a96e7861a517c86e544d3477ab9 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Sat, 11 May 2024 06:24:11 -0700 Subject: [PATCH 25/39] adding more integration tests --- .../destination.py | 2 - .../destination_snowflake_cortex/indexer.py | 21 ++-- .../integration_tests/integration_test.py | 96 +++++++++---------- .../destination-snowflake-cortex/main.py | 2 +- .../destination-snowflake-cortex/run.py | 10 ++ .../unit_tests/destination_test.py | 47 +++++++++ ...cortex_indexer_test.py => indexer_test.py} | 42 +++++++- 7 files changed, 155 insertions(+), 65 deletions(-) create mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/run.py rename airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/{snowflake_cortex_indexer_test.py => indexer_test.py} (84%) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py index 316662dbba4b0..b9e86c544ff78 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/destination.py @@ -47,8 +47,6 @@ def check(self, logger: AirbyteLogger, config: Mapping[str, Any]) -> AirbyteConn return AirbyteConnectionStatus(status=Status.FAILED, message=f"An exception occurred: {repr(e)}") def spec(self, *args: Any, **kwargs: Any) -> ConnectorSpecification: - do_not_track = os.environ.get("DO_NOT_TRACK") - print(f"Coming in spec. Analytics is {do_not_track}") return ConnectorSpecification( documentationUrl="https://docs.airbyte.com/integrations/destinations/snowflake-cortex", supportsIncremental=True, diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 238781ae85c0e..9b3853dff75fe 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -6,7 +6,8 @@ from typing import Any, Iterable, Optional import dpath.util -from airbyte._processors.sql.snowflakecortex import SnowflakeCortexSqlProcessor, SnowflakeSqlProcessor +from airbyte._processors.sql.snowflakecortex import SnowflakeCortexSqlProcessor +from airbyte._processors.sql.snowflake import SnowflakeSqlProcessor from airbyte.caches import SnowflakeCache from airbyte.strategies import WriteStrategy from airbyte_cdk.destinations.vector_db_based.document_processor import METADATA_RECORD_ID_FIELD, METADATA_STREAM_FIELD @@ -36,11 +37,6 @@ class SnowflakeCortexIndexer(Indexer): def __init__(self, config: SnowflakeCortexIndexingModel, embedding_dimensions: int, configured_catalog: ConfiguredAirbyteCatalog): super().__init__(config) - self.embedding_dimensions = embedding_dimensions - self.catalog = configured_catalog - self._init_db_connection(config) - - def _init_db_connection(self, config: SnowflakeCortexIndexingModel): account = config.account username = config.username password = config.password @@ -50,7 +46,16 @@ def _init_db_connection(self, config: SnowflakeCortexIndexingModel): self.cache = SnowflakeCache( account=account, username=username, password=password, database=database, warehouse=warehouse, role=role ) - self.defaut_processor = SnowflakeSqlProcessor(cache=self.cache) + self.embedding_dimensions = embedding_dimensions + self.catalog = configured_catalog + self._init_db_connection() + + def _init_db_connection(self): + """ + Initialize default snowflake connection for checking the connection. We are not initializing the cortex + process here because that needs a catalog. + """ + self.default_processor = SnowflakeSqlProcessor(cache=self.cache) def _get_airbyte_messsages_from_chunks( self, @@ -167,5 +172,5 @@ def delete(self, delete_ids, namespace, stream): pass def check(self) -> Optional[str]: - self.defaut_processor._get_tables_list() + self.default_processor._get_tables_list() # TODO: check to see if vector type is available in snowflake instance ? diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index 3784a2c27a288..4188a38385906 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -75,54 +75,7 @@ def _delete_table(self, table_name): conn.commit() conn.close() - def test_cortex_functions_available(self): - # Create a cursor object - conn = self._get_db_connection() - cursor = conn.cursor() - - # Execute the query - query = """ - SELECT SNOWFLAKE.CORTEX.EXTRACT_ANSWER( - $$Apple Vision Pro comprises approximately 300 components.[40] It has a curved laminated glass display on the front, an aluminum frame on its sides, a flexible cushion on the inside, and a removable, adjustable headband. The frame contains five sensors, six microphones, and 12 cameras.$$, - 'How many cameras are there on the product?' - ) AS answer - """ - cursor.execute(query) - result = cursor.fetchone() - if result: - print("Answer:", result[0]) - cursor.close() - conn.close() - - def test_get_embeddings_from_documents(self): - conn = self._get_db_connection() - cur = conn.cursor() - page_content_list = ["dogs are number 1", "dogs are number 2", "cats are nummber 1"] - - # Create a temporary table - cur.execute(""" - CREATE TEMPORARY TABLE temp_page_content ( - page_content STRING - ) - """) - # Insert data into the temporary table - cur.executemany("INSERT INTO temp_page_content (page_content) VALUES (%s)", page_content_list) - - # Process the data (for example, call a UDF or perform calculations) - # Here we're just selecting the processed data as an example - cur.execute(""" - SELECT snowflake.cortex.embed_text('e5-base-v2', page_content) AS embedding - FROM temp_page_content - """) - processed_data = cur.fetchall() - #for row in processed_data: - # print(row[0]) - cur.execute("DROP TABLE temp_page_content") - cur.close() - conn.close() - def _run_cosine_similarity(self, query_vector, table_name): - # Create a cursor object conn = self._get_db_connection() cursor = conn.cursor() @@ -137,7 +90,6 @@ def _run_cosine_similarity(self, query_vector, table_name): """ cursor.execute(query) result = cursor.fetchone() - # Close cursor and connection cursor.close() conn.close() return result @@ -158,10 +110,56 @@ def test_write(self): list(destination.write(self.config, append_catalog, [self._record("mystream", "Cats are nice", 6), first_state_message])) assert(self._get_record_count("mystream") == 6) - # todo: test merge once merge works in PyAirbyte + # TODO: add a test for merge + + # TODO: uncomment the following before merging # perform a query using OpenAI embedding #embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) #result = self._run_cosine_similarity(embeddings.embed_query("feline animals"), "mystream") #assert(len(result) == 1) #result[0] == "str_col: Cats are nice" + + """ + Following tests are not code specific, but are useful to confirm that the Cortex functions are available and behaving as expcected + """ + + def test_cortex_functions_available(self): + conn = self._get_db_connection() + cursor = conn.cursor() + + query = """ + SELECT SNOWFLAKE.CORTEX.EXTRACT_ANSWER( + $$Apple Vision Pro comprises approximately 300 components.[40] It has a curved laminated glass display on the front, an aluminum frame on its sides, a flexible cushion on the inside, and a removable, adjustable headband. The frame contains five sensors, six microphones, and 12 cameras.$$, + 'How many cameras are there on the product?' + ) AS answer + """ + try: + cursor.execute(query) + except Exception as e: + self.fail(f"Cortex functions might not be available in database: {e}") + + def test_get_embeddings_using_cortex(self): + conn = self._get_db_connection() + cur = conn.cursor() + page_content_list = ["dogs are number 1", "dogs are number 2", "cats are nummber 1"] + + cur.execute(""" + CREATE TEMPORARY TABLE temp_page_content ( + page_content STRING + ) + """) + cur.executemany("INSERT INTO temp_page_content (page_content) VALUES (%s)", page_content_list) + + cur.execute(""" + SELECT snowflake.cortex.embed_text('e5-base-v2', page_content) AS embedding + FROM temp_page_content + """) + processed_data = cur.fetchall() + self.assertTrue(processed_data, "No data found in the database") + cur.execute("DROP TABLE temp_page_content") + cur.close() + conn.close() + + + diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/main.py b/airbyte-integrations/connectors/destination-snowflake-cortex/main.py index d31a0cad2bae6..06ab5e50211f3 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/main.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/main.py @@ -1,5 +1,5 @@ # -# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# Copyright (c) 2024 Airbyte, Inc., all rights reserved. # diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/run.py b/airbyte-integrations/connectors/destination-snowflake-cortex/run.py new file mode 100644 index 0000000000000..9de74fbd84c4a --- /dev/null +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/run.py @@ -0,0 +1,10 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + +""" + # dummy run.py to fix PyAirbyte Validation Tests +""" + +def run(): + print("Placeholder...") \ No newline at end of file diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py index f721a839efcf0..0fe8b7298f9b8 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py @@ -33,3 +33,50 @@ def test_spec(self): result = destination.spec() self.assertIsInstance(result, ConnectorSpecification) + + @patch("destination_snowflake_cortex.destination.SnowflakeCortexIndexer") + def test_check(self, MockedSnowflakeCortexIndexer): + mock_indexer = Mock() + MockedSnowflakeCortexIndexer.return_value = mock_indexer + + destination = DestinationSnowflakeCortex() + result = destination.check(self.logger, self.config) + + self.assertEqual(result.status, Status.SUCCEEDED) + mock_indexer.check.assert_called_once() + + @patch("destination_snowflake_cortex.destination.SnowflakeCortexIndexer") + def test_check_with_errors(self, MockedSnowflakeCortexIndexer): + mock_indexer = Mock() + MockedSnowflakeCortexIndexer.return_value = mock_indexer + + indexer_error_message = "Indexer Error" + mock_indexer.check.side_effect = Exception(indexer_error_message) + + destination = DestinationSnowflakeCortex() + result = destination.check(self.logger, self.config) + self.assertEqual(result.status, Status.FAILED) + mock_indexer.check.assert_called_once() + + @patch("destination_snowflake_cortex.destination.Writer") + @patch("destination_snowflake_cortex.destination.SnowflakeCortexIndexer") + @patch("destination_snowflake_cortex.destination.create_from_config") + def test_write(self, MockedEmbedder, MockedSnowflakeCortexIndexer, MockedWriter): + mock_embedder = Mock() + mock_indexer = Mock() + MockedEmbedder.return_value = mock_embedder + mock_writer = Mock() + + MockedSnowflakeCortexIndexer.return_value = mock_indexer + MockedWriter.return_value = mock_writer + + mock_writer.write.return_value = [] + + configured_catalog = MagicMock() + input_messages = [] + + destination = DestinationSnowflakeCortex() + list(destination.write(self.config, configured_catalog, input_messages)) + + MockedWriter.assert_called_once_with(self.config_model.processing, mock_indexer, mock_embedder, batch_size=32, omit_raw_text=False) + mock_writer.write.assert_called_once_with(configured_catalog, input_messages) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py similarity index 84% rename from airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py rename to airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py index 38cdac5e34533..ee5252c3c74ef 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/snowflake_cortex_indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py @@ -17,13 +17,11 @@ SnowflakeCortexIndexer, ) - def _create_snowflake_cortex_indexer(catalog:Optional[ConfiguredAirbyteCatalog] ): config = SnowflakeCortexIndexingModel(account="account", username="username", password="password", database="database", warehouse="warehouse", role="role") with patch.object(SnowflakeCortexIndexer, '_init_db_connection', side_effect=None): indexer = SnowflakeCortexIndexer(config, 3, Mock(ConfiguredAirbyteCatalog) if catalog is None else catalog) return indexer - def test_get_airbyte_messsages_from_chunks(): indexer = _create_snowflake_cortex_indexer(generate_catalog()) @@ -58,9 +56,11 @@ def test_add_columns_to_catalog(): for stream in updated_catalog.streams: assert all(column in stream.stream.json_schema["properties"] for column in [DOCUMENT_ID_COLUMN, CHUNK_ID_COLUMN, PAGE_CONTENT_COLUMN, METADATA_COLUMN, EMBEDDING_COLUMN]) - assert(stream.primary_key == [[DOCUMENT_ID_COLUMN]]) + if stream.stream.name in ['example_stream', 'example_stream2']: + assert(stream.primary_key == [[DOCUMENT_ID_COLUMN]]) + if stream.stream.name == 'example_stream3': + assert(stream.primary_key == []) - def test_get_primary_keys(): # case: stream has one primary key @@ -124,7 +124,7 @@ def test_get_write_strategy(): indexer = _create_snowflake_cortex_indexer(generate_catalog()) assert(indexer.get_write_strategy('example_stream') == WriteStrategy.MERGE) assert(indexer.get_write_strategy('example_stream2') == WriteStrategy.REPLACE) - assert(indexer.get_write_strategy('example_stream3') == WriteStrategy.AUTO) + assert(indexer.get_write_strategy('example_stream3') == WriteStrategy.APPEND) def test_get_document_id(): indexer = _create_snowflake_cortex_indexer(generate_catalog()) @@ -153,6 +153,25 @@ def test_get_document_id(): indexer = _create_snowflake_cortex_indexer(catalog) assert(indexer._create_document_id(message) == "Stream_example_stream_Key_5_Dogs are number 1") +def test_delete(): + delete_ids = [1, 2, 3] + namespace = "test_namespace" + stream = "test_stream" + indexer = _create_snowflake_cortex_indexer(generate_catalog()) + + indexer.delete(delete_ids, namespace, stream) + + +def test_check(): + indexer = _create_snowflake_cortex_indexer(generate_catalog()) + mock_processor = MagicMock() + indexer.default_processor = mock_processor + mock_processor._get_tables_list.return_value = ["table1", "table2"] + result = indexer.check() + mock_processor._get_tables_list.assert_called_once() + assert result == None + + def generate_catalog(): return ConfiguredAirbyteCatalog.parse_obj( { @@ -183,6 +202,19 @@ def generate_catalog(): "sync_mode": "full_refresh", "destination_sync_mode": "overwrite", }, + { + "stream": { + "name": "example_stream3", + "json_schema": {"$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": {}}, + "supported_sync_modes": ["full_refresh", "incremental"], + "source_defined_cursor": False, + "default_cursor_field": ["column_name"], + "namespace": "ns2", + }, + "primary_key": [], + "sync_mode": "full_refresh", + "destination_sync_mode": "append", + }, ] } ) From 7a66ef1a52e0665e907f497e11ca5401ee881dc1 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Sat, 11 May 2024 08:21:01 -0700 Subject: [PATCH 26/39] adding some tests --- .../destination_snowflake_cortex/indexer.py | 5 +++++ .../integration_tests/integration_test.py | 7 +++++-- .../spec.json | 0 .../connectors/destination-snowflake-cortex/metadata.yaml | 2 +- 4 files changed, 11 insertions(+), 3 deletions(-) rename airbyte-integrations/connectors/destination-snowflake-cortex/{destination_snowflake_cortex => integration_tests}/spec.json (100%) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 9b3853dff75fe..1185cbfc0f2a6 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -87,6 +87,8 @@ def _get_updated_catalog(self) -> ConfiguredAirbyteCatalog: updated_catalog = self.catalog # update each stream in the catalog for stream in updated_catalog.streams: + # Revisit this - Clear existing properties, if anys, since we are not entirely sure what's in the configured catalog. + stream.stream.json_schema["properties"] = {} stream.stream.json_schema["properties"][DOCUMENT_ID_COLUMN] = {"type": "string"} stream.stream.json_schema["properties"][CHUNK_ID_COLUMN] = {"type": "string"} stream.stream.json_schema["properties"][PAGE_CONTENT_COLUMN] = {"type": "string"} @@ -164,6 +166,9 @@ def index(self, document_chunks, namespace, stream): source_name="vector_db_based", stream_names=[stream], ) + print("\n\n\n\n\nProcessing airbyte messages===================================") + print(len(airbyte_messages)) + print(airbyte_messages) cortex_processor.process_airbyte_messages(airbyte_messages, self.get_write_strategy(stream)) def delete(self, delete_ids, namespace, stream): diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index 4188a38385906..08c2e15b895a3 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -110,9 +110,12 @@ def test_write(self): list(destination.write(self.config, append_catalog, [self._record("mystream", "Cats are nice", 6), first_state_message])) assert(self._get_record_count("mystream") == 6) - # TODO: add a test for merge + # TODO: following ends up calling emulated merge and fails, investigate why + #append_dedup_catalog = self._get_configured_catalog(DestinationSyncMode.append_dedup) + #list(destination.write(self.config, append_dedup_catalog, [self._record("mystream", "Cats are nice too", 4), first_state_message])) + #assert(self._get_record_count("mystream") == 6) - # TODO: uncomment the following before merging + # TODO: uncomment and test before merging # perform a query using OpenAI embedding #embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) #result = self._run_cosine_similarity(embeddings.embed_query("feline animals"), "mystream") diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/spec.json similarity index 100% rename from airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/spec.json rename to airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/spec.json diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml index fae25e98fe70f..f588a2801560a 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml @@ -30,7 +30,7 @@ data: enabled: true oss: enabled: true - releaseDate: 2024-05-10 # TODO: Confirm the release date + releaseDate: 2024-05-13 # TODO: Confirm the release date releaseStage: beta resourceRequirements: jobSpecific: From b263da5cb3f1b0e6f95184db3389a2e89d6bf732 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Sat, 11 May 2024 08:44:26 -0700 Subject: [PATCH 27/39] adding merge test --- .../destination_snowflake_cortex/indexer.py | 3 --- .../integration_tests/integration_test.py | 6 +++--- 2 files changed, 3 insertions(+), 6 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 1185cbfc0f2a6..c4021898177a9 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -166,9 +166,6 @@ def index(self, document_chunks, namespace, stream): source_name="vector_db_based", stream_names=[stream], ) - print("\n\n\n\n\nProcessing airbyte messages===================================") - print(len(airbyte_messages)) - print(airbyte_messages) cortex_processor.process_airbyte_messages(airbyte_messages, self.get_write_strategy(stream)) def delete(self, delete_ids, namespace, stream): diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index 08c2e15b895a3..ff724dc450c2d 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -111,9 +111,9 @@ def test_write(self): assert(self._get_record_count("mystream") == 6) # TODO: following ends up calling emulated merge and fails, investigate why - #append_dedup_catalog = self._get_configured_catalog(DestinationSyncMode.append_dedup) - #list(destination.write(self.config, append_dedup_catalog, [self._record("mystream", "Cats are nice too", 4), first_state_message])) - #assert(self._get_record_count("mystream") == 6) + append_dedup_catalog = self._get_configured_catalog(DestinationSyncMode.append_dedup) + list(destination.write(self.config, append_dedup_catalog, [self._record("mystream", "Cats are nice too", 4), first_state_message])) + assert(self._get_record_count("mystream") == 6) # TODO: uncomment and test before merging # perform a query using OpenAI embedding From 9a0958701480873172268a0baf1534bec4be0b9d Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Sat, 11 May 2024 08:55:15 -0700 Subject: [PATCH 28/39] added documentation and disable pypi publish --- .../destination-snowflake-cortex/metadata.yaml | 4 ++-- .../destination-snowflake-cortex/pyproject.toml | 2 +- .../connectors/destination-snowflake-cortex/run.py | 10 ---------- docs/integrations/destinations/snowflake-cortex.md | 14 +++++++++----- 4 files changed, 12 insertions(+), 18 deletions(-) delete mode 100644 airbyte-integrations/connectors/destination-snowflake-cortex/run.py diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml index f588a2801560a..1182805880791 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml @@ -14,7 +14,7 @@ data: connectorSubtype: vectorstore connectorType: destination definitionId: d9e5418d-f0f4-4d19-a8b1-5630543638e2 - dockerImageTag: 0.0.1 + dockerImageTag: 0.1.0 dockerRepository: airbyte/destination-snowflake-cortex documentationUrl: https://docs.airbyte.com/integrations/destinations/snowflake-cortex githubIssueLabel: destination-snowflake-cortex @@ -23,7 +23,7 @@ data: name: Snowflake Cortex remoteRegistries: pypi: - enabled: true + enabled: false packageName: airbyte-destination-snowflake-cortex registries: cloud: diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml b/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml index d6cc60cee873c..22d641b7abd77 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "airbyte-destination-snowflake-cortex" -version = "0.0.1" +version = "0.1.0" description = "Airbyte destination implementation for Snowflake cortex." authors = ["Airbyte "] license = "MIT" diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/run.py b/airbyte-integrations/connectors/destination-snowflake-cortex/run.py deleted file mode 100644 index 9de74fbd84c4a..0000000000000 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/run.py +++ /dev/null @@ -1,10 +0,0 @@ -# -# Copyright (c) 2023 Airbyte, Inc., all rights reserved. -# - -""" - # dummy run.py to fix PyAirbyte Validation Tests -""" - -def run(): - print("Placeholder...") \ No newline at end of file diff --git a/docs/integrations/destinations/snowflake-cortex.md b/docs/integrations/destinations/snowflake-cortex.md index 14f6a5db30d31..6f5614edbca70 100644 --- a/docs/integrations/destinations/snowflake-cortex.md +++ b/docs/integrations/destinations/snowflake-cortex.md @@ -14,7 +14,7 @@ There are three parts to this: To use the Snowflake Cortex destination, you'll need: - An account with API access for OpenAI or Cohere (depending on which embedding method you want to use) -- A Snowflake account with the required permissions to create tables and load data +- A Snowflake account with support for vector type columns You'll need the following information to configure the destination: @@ -24,7 +24,7 @@ You'll need the following information to configure the destination: - **Snowflake Password** - The password for your Snowflake account - **Snowflake Database** - The database name in Snowflake to load data into - **Snowflake Warehouse** - The warehouse name in Snowflake to use -- **Snowflake Role** - The role name in Snowflake to use +- **Snowflake Role** - The role name in Snowflake to use. ## Features @@ -69,12 +69,16 @@ For testing purposes, it's also possible to use the [Fake embeddings](https://py ### Indexing/Data Storage -To get started, sign up for [Snowflake](https://www.snowflake.com/en/). Ensure you have set a database, and a data wareshouse before running the Snowflake Cortex destination. All streams will be indexed/stored into a table with the same name. In addition. -TODO: add what columns are stored and limitations on sizes +To get started, sign up for [Snowflake](https://www.snowflake.com/en/). Ensure you have set a database, and a data wareshouse before running the Snowflake Cortex destination. All streams will be indexed/stored into a table with the same name. The table will be created if it doesn't exist. The table will have the following columns: +- document_id (string) - the unique identifier of the document, creating from appending the primary keys in the stream schema +- chunk_id (string) - the unique identifier of the chunk, created by appending the chunk number to the document_id +- metadata (variant) - the metadata of the document, stored as key-value pairs +- page_content (string) - the text content of the chunk +- embedding (vector) - the embedding of the chunk, stored as a list of floats ## CHANGELOG | Version | Date | Pull Request | Subject | |:--------| :--------- |:--------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------| -| 0.0.1 | 2024-05-06 | [#37333](https://github.com/airbytehq/airbyte/pull/36807) | Add support for Snowflake as a Vector destination. +| 0.1.0 | 2024-05-13 | [#37333](https://github.com/airbytehq/airbyte/pull/36807) | Add support for Snowflake as a Vector destination. From c2d1a6a1bce4e0b328859285f0240b8c3a1a919f Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Sat, 11 May 2024 08:58:16 -0700 Subject: [PATCH 29/39] chore: format code --- .../destination_snowflake_cortex/indexer.py | 6 +++--- .../destination-snowflake-cortex/unit_tests/indexer_test.py | 3 ++- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index c4021898177a9..69d1edc181250 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -6,8 +6,8 @@ from typing import Any, Iterable, Optional import dpath.util -from airbyte._processors.sql.snowflakecortex import SnowflakeCortexSqlProcessor from airbyte._processors.sql.snowflake import SnowflakeSqlProcessor +from airbyte._processors.sql.snowflakecortex import SnowflakeCortexSqlProcessor from airbyte.caches import SnowflakeCache from airbyte.strategies import WriteStrategy from airbyte_cdk.destinations.vector_db_based.document_processor import METADATA_RECORD_ID_FIELD, METADATA_STREAM_FIELD @@ -52,8 +52,8 @@ def __init__(self, config: SnowflakeCortexIndexingModel, embedding_dimensions: i def _init_db_connection(self): """ - Initialize default snowflake connection for checking the connection. We are not initializing the cortex - process here because that needs a catalog. + Initialize default snowflake connection for checking the connection. We are not initializing the cortex + process here because that needs a catalog. """ self.default_processor = SnowflakeSqlProcessor(cache=self.cache) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py index ee5252c3c74ef..4d51ecbd16da5 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py @@ -2,7 +2,7 @@ # Copyright (c) 2023 Airbyte, Inc., all rights reserved. # -from typing import cast, Optional +from typing import Optional, cast from unittest.mock import ANY, MagicMock, Mock, call, patch from airbyte.strategies import WriteStrategy @@ -17,6 +17,7 @@ SnowflakeCortexIndexer, ) + def _create_snowflake_cortex_indexer(catalog:Optional[ConfiguredAirbyteCatalog] ): config = SnowflakeCortexIndexingModel(account="account", username="username", password="password", database="database", warehouse="warehouse", role="role") with patch.object(SnowflakeCortexIndexer, '_init_db_connection', side_effect=None): From bf4fb8719cfd5cc62591b10a5f843a71e09918fb Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Sun, 12 May 2024 13:38:23 -0700 Subject: [PATCH 30/39] dummy change to trigger a new build --- .../destination_snowflake_cortex/indexer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 69d1edc181250..940842e9eb55f 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -175,4 +175,4 @@ def delete(self, delete_ids, namespace, stream): def check(self) -> Optional[str]: self.default_processor._get_tables_list() - # TODO: check to see if vector type is available in snowflake instance ? + # TODO: check to see if vector type is available in snowflake instance From 163f5e94af1bbdd02c61e379421484468e87ec5e Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Sun, 12 May 2024 13:49:08 -0700 Subject: [PATCH 31/39] pinned airbyte-cdk --- .../connectors/destination-snowflake-cortex/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml b/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml index 22d641b7abd77..0f4d8c92da970 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/pyproject.toml @@ -18,7 +18,7 @@ include = "destination_snowflake_cortex" [tool.poetry.dependencies] python = "^3.9,<3.12" -airbyte-cdk = {version = "^0.81.6", extras = ["vector-db-based"]} +airbyte-cdk = {version = "0.81.6", extras = ["vector-db-based"]} airbyte = "0.10.5" From 3be2c2decd4551413c17609ccfbadc0302686be7 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Sun, 12 May 2024 13:51:31 -0700 Subject: [PATCH 32/39] commiting updated lock file --- .../destination-snowflake-cortex/poetry.lock | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock index 162baf43e274f..810a31b7d3b20 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock @@ -179,13 +179,13 @@ dev = ["pylint (==3.1.0)"] [[package]] name = "airbyte-cdk" -version = "0.81.8" +version = "0.81.6" description = "A framework for writing Airbyte Connectors." optional = false python-versions = "<4.0,>=3.9" files = [ - {file = "airbyte_cdk-0.81.8-py3-none-any.whl", hash = "sha256:1f826715e99b190b0581f0ce5192bd7e5eae69133e77a242a339a4227df02642"}, - {file = "airbyte_cdk-0.81.8.tar.gz", hash = "sha256:8854a899c9a4fabd2143b86befece8fd62130ffd74049b8c6fb8ac67c7c1da54"}, + {file = "airbyte_cdk-0.81.6-py3-none-any.whl", hash = "sha256:456a301edae4f8c99b77d89aaa2016827c43acfd7f9fb61e7a961760b954695b"}, + {file = "airbyte_cdk-0.81.6.tar.gz", hash = "sha256:3d4e2f3dc8177a109cb70e1d701583c870e2c31168dad7498cd2c84b0cc34637"}, ] [package.dependencies] @@ -1794,13 +1794,13 @@ extended-testing = ["lxml (>=5.1.0,<6.0.0)"] [[package]] name = "langsmith" -version = "0.1.56" +version = "0.1.57" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langsmith-0.1.56-py3-none-any.whl", hash = "sha256:2f930e054ea8eccd8ff99f0f129ae7d2513973b2e706d5483f44ea9951a1dca0"}, - {file = "langsmith-0.1.56.tar.gz", hash = "sha256:ff645b5bf16e2566740218ed6c048a1f8edbbedb4480a0d305a837ec71303fbf"}, + {file = "langsmith-0.1.57-py3-none-any.whl", hash = "sha256:dbd83b0944a2fbea4151f0aa053530d93fcf6784a580621bc60633cb890b57dc"}, + {file = "langsmith-0.1.57.tar.gz", hash = "sha256:4682204de19f0218029c2b8445ce2cc3485c8d0df9796b31e2ce4c9051fce365"}, ] [package.dependencies] @@ -3948,4 +3948,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "^3.9,<3.12" -content-hash = "7a6b47fdf5e2208d84b0b53cc821ca5aa647b75bb62ba5bf562e49e2ad251ec4" +content-hash = "05e80acba83aedcec6e4bc84b2a4ea435d0abc0c61cbcb4baa9d77ceb0a2086e" From 58b68b98c91109c7b9ec1bd92690439268396ec9 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Sun, 12 May 2024 14:46:13 -0700 Subject: [PATCH 33/39] added team name for code ownership --- .github/CODEOWNERS | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 0f42b926367ad..6a99716eb3272 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -4,6 +4,7 @@ /airbyte-integrations/connectors/destination-milvus @airbytehq/ai-language-models /airbyte-integrations/connectors/destination-qdrant @airbytehq/ai-language-models /airbyte-integrations/connectors/destination-chroma @airbytehq/ai-language-models +/airbyte-integrations/connectors/destination-snowflake-cortex @airbytehq/ai-language-models /airbyte-cdk/python/airbyte_cdk/destinations/vector_db_based @airbytehq/ai-language-models # CI/CD From 76139c48aac16cdd4a4335b2267c3e44d651453a Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Mon, 13 May 2024 17:24:42 -0700 Subject: [PATCH 34/39] adddress PR review feedback --- .../destination_snowflake_cortex/config.py | 2 +- .../destination_snowflake_cortex/indexer.py | 18 ++++++------- .../integration_tests/integration_test.py | 27 +++++++++---------- .../metadata.yaml | 9 +++---- .../unit_tests/indexer_test.py | 6 ++--- 5 files changed, 30 insertions(+), 32 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py index c04557e63cfd6..bf11050157fa6 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py @@ -7,7 +7,7 @@ from pydantic import BaseModel, Field -# to-do - override the embedding model to use Snowflake supported model +# to-do - https://github.com/airbytehq/airbyte/issues/38007 - add Snowflake supported models to config class SnowflakeCortexIndexingModel(BaseModel): account: str = Field( ..., diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 940842e9eb55f..67637f503bf2b 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -28,7 +28,7 @@ DOCUMENT_ID_COLUMN = "document_id" CHUNK_ID_COLUMN = "chunk_id" METADATA_COLUMN = "metadata" -PAGE_CONTENT_COLUMN = "page_content" +DOCUMENT_CONTENT_COLUMN = "document_content" EMBEDDING_COLUMN = "embedding" @@ -70,7 +70,7 @@ def _get_airbyte_messsages_from_chunks( new_data[DOCUMENT_ID_COLUMN] = self._create_document_id(message) new_data[CHUNK_ID_COLUMN] = str(uuid.uuid4().int) new_data[METADATA_COLUMN] = chunk.metadata - new_data[PAGE_CONTENT_COLUMN] = chunk.page_content + new_data[DOCUMENT_CONTENT_COLUMN] = chunk.page_content new_data[EMBEDDING_COLUMN] = chunk.embedding message.record.data = new_data airbyte_messages.append(message) @@ -80,18 +80,18 @@ def _get_updated_catalog(self) -> ConfiguredAirbyteCatalog: """Adds following columns to catalog document_id (primary key) -> unique per record/document chunk_id -> unique per chunk - page_content -> text content of the page + document_content -> text content of the document metadata -> metadata of the record - embedding -> embedding of the page content + embedding -> embedding of the document content """ updated_catalog = self.catalog # update each stream in the catalog for stream in updated_catalog.streams: - # Revisit this - Clear existing properties, if anys, since we are not entirely sure what's in the configured catalog. + # TO-DO: Revisit this - Clear existing properties, if anys, since we are not entirely sure what's in the configured catalog. stream.stream.json_schema["properties"] = {} stream.stream.json_schema["properties"][DOCUMENT_ID_COLUMN] = {"type": "string"} stream.stream.json_schema["properties"][CHUNK_ID_COLUMN] = {"type": "string"} - stream.stream.json_schema["properties"][PAGE_CONTENT_COLUMN] = {"type": "string"} + stream.stream.json_schema["properties"][DOCUMENT_CONTENT_COLUMN] = {"type": "string"} stream.stream.json_schema["properties"][METADATA_COLUMN] = {"type": "object"} stream.stream.json_schema["properties"][EMBEDDING_COLUMN] = {"type": "vector_array"} # set primary key only if there are existing primary keys @@ -131,7 +131,7 @@ def _create_document_id(self, record: AirbyteMessage) -> str: return f"Stream_{stream_name}_Key_{primary_key}" return str(uuid.uuid4().int) - def _create_state_message(self, stream, namespace, data: dict[str, Any]) -> AirbyteMessage: + def _create_state_message(self, stream: str, namespace: str, data: dict[str, Any]) -> AirbyteMessage: """Create a state message for the stream""" stream = AirbyteStreamState(stream_descriptor=StreamDescriptor(name=stream, namespace=namespace)) return AirbyteMessage( @@ -150,7 +150,7 @@ def get_write_strategy(self, stream_name: str) -> WriteStrategy: return WriteStrategy.MERGE return WriteStrategy.AUTO - def index(self, document_chunks, namespace, stream): + def index(self, document_chunks: Iterable[Any], namespace: str, stream: str): # get list of airbyte messages from the document chunks airbyte_messages = self._get_airbyte_messsages_from_chunks(document_chunks) # todo: remove state messages and see if things still work @@ -168,7 +168,7 @@ def index(self, document_chunks, namespace, stream): ) cortex_processor.process_airbyte_messages(airbyte_messages, self.get_write_strategy(stream)) - def delete(self, delete_ids, namespace, stream): + def delete(self, delete_ids: list[str], namespace: str, stream: str): # delete is generally used when we use full refresh/overwrite strategy. # PyAirbyte's sync will take care of overwriting the records. Hence, we don't need to do anything here. pass diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index ff724dc450c2d..0b6dadaeb91a4 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -80,7 +80,7 @@ def _run_cosine_similarity(self, query_vector, table_name): cursor = conn.cursor() query = f""" - SELECT PAGE_CONTENT + SELECT DOCUMENT_CONTENT FROM {table_name} ORDER BY VECTOR_L2_DISTANCE( CAST({query_vector} AS VECTOR(FLOAT, 1536)), @@ -110,17 +110,16 @@ def test_write(self): list(destination.write(self.config, append_catalog, [self._record("mystream", "Cats are nice", 6), first_state_message])) assert(self._get_record_count("mystream") == 6) - # TODO: following ends up calling emulated merge and fails, investigate why + # subsequent sync with append_dedup append_dedup_catalog = self._get_configured_catalog(DestinationSyncMode.append_dedup) list(destination.write(self.config, append_dedup_catalog, [self._record("mystream", "Cats are nice too", 4), first_state_message])) assert(self._get_record_count("mystream") == 6) - # TODO: uncomment and test before merging # perform a query using OpenAI embedding - #embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) - #result = self._run_cosine_similarity(embeddings.embed_query("feline animals"), "mystream") - #assert(len(result) == 1) - #result[0] == "str_col: Cats are nice" + embeddings = OpenAIEmbeddings(openai_api_key=self.config["embedding"]["openai_key"]) + result = self._run_cosine_similarity(embeddings.embed_query("feline animals"), "mystream") + assert(len(result) == 1) + result[0] == "str_col: Cats are nice" """ @@ -145,22 +144,22 @@ def test_cortex_functions_available(self): def test_get_embeddings_using_cortex(self): conn = self._get_db_connection() cur = conn.cursor() - page_content_list = ["dogs are number 1", "dogs are number 2", "cats are nummber 1"] + document_content_list = ["dogs are number 1", "dogs are number 2", "cats are nummber 1"] cur.execute(""" - CREATE TEMPORARY TABLE temp_page_content ( - page_content STRING + CREATE TEMPORARY TABLE temp_document_content ( + document_content STRING ) """) - cur.executemany("INSERT INTO temp_page_content (page_content) VALUES (%s)", page_content_list) + cur.executemany("INSERT INTO temp_document_content (document_content) VALUES (%s)", document_content_list) cur.execute(""" - SELECT snowflake.cortex.embed_text('e5-base-v2', page_content) AS embedding - FROM temp_page_content + SELECT snowflake.cortex.embed_text('e5-base-v2', document_content) AS embedding + FROM temp_document_content """) processed_data = cur.fetchall() self.assertTrue(processed_data, "No data found in the database") - cur.execute("DROP TABLE temp_page_content") + cur.execute("DROP TABLE temp_document_content") cur.close() conn.close() diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml index 1182805880791..6e2d774f0afac 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml @@ -1,11 +1,10 @@ data: - # TODO: - # ab_internal: - # ql: 300 - # sl: 200 + ab_internal: + ql: 300 + sl: 200 allowedHosts: hosts: - - "*.snowflakecomputing.com" # TODO: Confirm the correct host(s) + - "*.snowflakecomputing.com" - api.openai.com - api.cohere.ai - ${embedding.api_base} diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py index 4d51ecbd16da5..003cbb3e2781b 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py @@ -10,10 +10,10 @@ from destination_snowflake_cortex.config import SnowflakeCortexIndexingModel from destination_snowflake_cortex.indexer import ( CHUNK_ID_COLUMN, + DOCUMENT_CONTENT_COLUMN, DOCUMENT_ID_COLUMN, EMBEDDING_COLUMN, METADATA_COLUMN, - PAGE_CONTENT_COLUMN, SnowflakeCortexIndexer, ) @@ -43,7 +43,7 @@ def test_get_airbyte_messsages_from_chunks(): for message in messages: message.type = "RECORD" assert message.record.data[METADATA_COLUMN] == {"_ab_stream": "abc"} - assert message.record.data[PAGE_CONTENT_COLUMN] == f"test{i}" + assert message.record.data[DOCUMENT_CONTENT_COLUMN] == f"test{i}" assert message.record.data[EMBEDDING_COLUMN] == [1*i, 2*i, 3*i] assert all(key in message.record.data for key in [DOCUMENT_ID_COLUMN, CHUNK_ID_COLUMN]) assert all(key not in message.record.data for key in ["str_col", "int_col"]) @@ -56,7 +56,7 @@ def test_add_columns_to_catalog(): # test all streams in catalog have the new columns for stream in updated_catalog.streams: assert all(column in stream.stream.json_schema["properties"] - for column in [DOCUMENT_ID_COLUMN, CHUNK_ID_COLUMN, PAGE_CONTENT_COLUMN, METADATA_COLUMN, EMBEDDING_COLUMN]) + for column in [DOCUMENT_ID_COLUMN, CHUNK_ID_COLUMN, DOCUMENT_CONTENT_COLUMN, METADATA_COLUMN, EMBEDDING_COLUMN]) if stream.stream.name in ['example_stream', 'example_stream2']: assert(stream.primary_key == [[DOCUMENT_ID_COLUMN]]) if stream.stream.name == 'example_stream3': From 6576922b6301c67f3285c0ac3b03b9ba3cfee149 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Mon, 13 May 2024 18:55:29 -0700 Subject: [PATCH 35/39] added host and schema and ordered config fields to match snowflake default connectot --- .../destination_snowflake_cortex/config.py | 61 +++++++++++++------ .../destination_snowflake_cortex/indexer.py | 15 ++--- .../integration_tests/integration_test.py | 23 +++---- .../integration_tests/sample_config.json | 11 ++-- .../integration_tests/spec.json | 54 +++++++++------- .../destination-snowflake-cortex/poetry.lock | 6 +- .../unit_tests/destination_test.py | 13 ++-- .../unit_tests/indexer_test.py | 2 +- 8 files changed, 110 insertions(+), 75 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py index bf11050157fa6..8c0c8a11caef1 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py @@ -6,25 +6,42 @@ from airbyte_cdk.destinations.vector_db_based.config import VectorDBConfigModel from pydantic import BaseModel, Field - # to-do - https://github.com/airbytehq/airbyte/issues/38007 - add Snowflake supported models to config + +# "indexing": { +# "host": "NXA17679", +# "role": "ACCOUNTADMIN", +# "warehouse": "COMPUTE_WH", +# "database": "PYAIRBYTE_INTEGRATION_TEST", +# "schema": "airbyte_raw", +# "username": "airbytepartneradmin", +# "credentials": { +# "password": "t^$JK9g6CfqDH@4U" +# } +# } + + class SnowflakeCortexIndexingModel(BaseModel): - account: str = Field( + host: str = Field( ..., - title="Account", + title="Host", airbyte_secret=True, - description="Enter the account name you want to use to access the database.", - examples=["xxx.us-east-2.aws"], + description="Enter the account name you want to use to access the database. This is usually the identifier before .snowflakecomputing.com", + examples=["AIRBYTE_ACCOUNT"], ) - username: str = Field( + role: str = Field( ..., - title="Username", + title="Role", airbyte_secret=True, - description="Enter the name of the user you want to use to access the database", - examples=["AIRBYTE_USER"], + description="Enter the role that you want to use to access Snowflake", + examples=["AIRBYTE_ROLE", "ACCOUNTADMIN"], ) - password: str = Field( - ..., title="Password", airbyte_secret=True, description="Enter the password associated with the user you entered above" + warehouse: str = Field( + ..., + title="Warehouse", + airbyte_secret=True, + description="Enter the name of the warehouse that you want to sync data into", + examples=["AIRBYTE_WAREHOUSE"], ) database: str = Field( ..., @@ -33,19 +50,25 @@ class SnowflakeCortexIndexingModel(BaseModel): description="Enter the name of the database that you want to sync data into", examples=["AIRBYTE_DATABASE"], ) - warehouse: str = Field( + default_schema: str = Field( ..., - title="Warehouse", + title="Default Schema", airbyte_secret=True, - description="Enter the name of the warehouse that you want to sync data into", - examples=["AIRBYTE_WAREHOUSE"], + description="Enter the name of the default schema", + examples=["AIRBYTE_SCHEMA"], ) - role: str = Field( + username: str = Field( ..., - title="Role", + title="Username", airbyte_secret=True, - description="Enter the name of the role that you want to sync data into", - examples=["AIRBYTE_ROLE", "ACCOUNTADMIN"], + description="Enter the name of the user you want to use to access the database", + examples=["AIRBYTE_USER"], + ) + + # add a dropdown for password + + password: str = Field( + ..., title="Password", airbyte_secret=True, description="Enter the password associated with the user you entered above" ) class Config: diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 67637f503bf2b..7c3e0524355ac 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -37,14 +37,15 @@ class SnowflakeCortexIndexer(Indexer): def __init__(self, config: SnowflakeCortexIndexingModel, embedding_dimensions: int, configured_catalog: ConfiguredAirbyteCatalog): super().__init__(config) - account = config.account - username = config.username - password = config.password - database = config.database - warehouse = config.warehouse - role = config.role self.cache = SnowflakeCache( - account=account, username=username, password=password, database=database, warehouse=warehouse, role=role + # Note: Host maps to account in the cache + account=config.host, + role=config.role, + warehouse=config.warehouse, + database=config.database, + username=config.username, + password=config.password, + schema_name=config.default_schema, ) self.embedding_dimensions = embedding_dimensions self.catalog = configured_catalog diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index 0b6dadaeb91a4..1bce019727d0c 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -37,12 +37,13 @@ def test_check_invalid_config(self): "processing": {"text_fields": ["str_col"], "chunk_size": 1000, "metadata_fields": ["int_col"]}, "embedding": {"mode": "openai", "openai_key": "mykey"}, "indexing": { - "account": "myaccount", - "username": "myaccount", - "password": "xxxxxxxxxxxx", - "database": "INTEGRATION_TEST", - "warehouse": "INTEGRATION_TEST_WAREHOUSE", - "role": "ACCOUNTADMIN" + "host": "MYACCOUNT", + "role": "MYUSERNAME", + "warehouse": "MYWAREHOUSE", + "database": "MYDATABASE", + "default_schema": "MYSCHEMA", + "username": "MYUSERNAME", + "password": "xxxxxxx" }, }, ) @@ -50,13 +51,13 @@ def test_check_invalid_config(self): def _get_db_connection(self): return connector.connect( - user=self.config["indexing"]["username"], - password=self.config["indexing"]["password"], - account=self.config["indexing"]["account"], + account=self.config["indexing"]["host"], + role=self.config["indexing"]["role"], warehouse=self.config["indexing"]["warehouse"], database=self.config["indexing"]["database"], - role=self.config["indexing"]["role"], - schema="airbyte_raw", + schema=self.config["indexing"]["default_schema"], + user=self.config["indexing"]["username"], + password=self.config["indexing"]["password"], ) def _get_record_count(self, table_name): diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json index 07cd1e7a15773..ca1fccf5d1f81 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json @@ -9,11 +9,12 @@ "openai_key": "mykey" }, "indexing": { - "account": "MYACCOUNT", - "username": "MYUSERNAME", - "password": "xxxxxxx", + "host": "MYACCOUNT", + "role": "MYUSERNAME", + "warehouse": "COMPUTE_WH", "database": "MYDATABASE", - "warehouse": "MYWAREHOUSE", - "role": "ACCOUNTADMIN" + "default_schema": "MYSCHEMA", + "username": "MYUSERNAME", + "password": "xxxxxxx" } } diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/spec.json b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/spec.json index 4c730e0f7fd76..7bd550c139865 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/spec.json +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/spec.json @@ -316,24 +316,25 @@ "title": "Indexing", "type": "object", "properties": { - "account": { - "title": "Account", - "description": "Enter the account name you want to use to access the database.", + "host": { + "title": "Host", + "description": "Enter the account name you want to use to access the database. This is usually the identifier before .snowflakecomputing.com", "airbyte_secret": true, "examples": ["xxx.us-east-2.aws"], "type": "string" }, - "username": { - "title": "Username", - "description": "Enter the name of the user you want to use to access the database", + "role": { + "title": "Role", + "description": "Enter the role that you want to use to access Snowflake", "airbyte_secret": true, - "examples": ["AIRBYTE_USER"], + "examples": ["AIRBYTE_ROLE", "ACCOUNTADMIN"], "type": "string" }, - "password": { - "title": "Password", - "description": "Enter the password associated with the user you entered above", + "warehouse": { + "title": "Warehouse", + "description": "Enter the name of the warehouse that you want to sync data into", "airbyte_secret": true, + "examples": ["AIRBYTE_WAREHOUSE"], "type": "string" }, "database": { @@ -343,28 +344,35 @@ "examples": ["AIRBYTE_DATABASE"], "type": "string" }, - "warehouse": { - "title": "Warehouse", - "description": "Enter the name of the warehouse that you want to sync data into", + "default_schema": { + "title": "Default Schema", + "description": "Enter the name of the default schema", "airbyte_secret": true, - "examples": ["AIRBYTE_WAREHOUSE"], + "examples": ["AIRBYTE_SCHEMA"], "type": "string" }, - "role": { - "title": "Role", - "description": "Enter the name of the role that you want to sync data into", + "username": { + "title": "Username", + "description": "Enter the name of the user you want to use to access the database", + "airbyte_secret": true, + "examples": ["AIRBYTE_USER"], + "type": "string" + }, + "password": { + "title": "Password", + "description": "Enter the password associated with the user you entered above", "airbyte_secret": true, - "examples": ["AIRBYTE_ROLE", "ACCOUNTADMIN"], "type": "string" } }, "required": [ - "account", - "username", - "password", - "database", + "host", + "role", "warehouse", - "role" + "database", + "default_schema", + "username", + "password" ], "description": "Snowflake can be used to store vector data and retrieve embeddings.", "group": "indexing" diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock index 810a31b7d3b20..e67c61a942a82 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/poetry.lock @@ -220,13 +220,13 @@ vector-db-based = ["cohere (==4.21)", "langchain (==0.1.16)", "openai[embeddings [[package]] name = "airbyte-protocol-models" -version = "0.9.0" +version = "0.10.0" description = "Declares the Airbyte Protocol." optional = false python-versions = ">=3.8" files = [ - {file = "airbyte_protocol_models-0.9.0-py3-none-any.whl", hash = "sha256:e972e140b5efd1edad5a338bcae8fdee9fc12545caf2c321e0f61b151c163a9b"}, - {file = "airbyte_protocol_models-0.9.0.tar.gz", hash = "sha256:40b69c33df23fe82d7078e84beb123bd604480e4d73cb277a890fcc92aedc8d2"}, + {file = "airbyte_protocol_models-0.10.0-py3-none-any.whl", hash = "sha256:84447b00492193d2852e90898b56c0eeb8387a7cdb0b033860a606cee30451be"}, + {file = "airbyte_protocol_models-0.10.0.tar.gz", hash = "sha256:03835e75104ca6feb82fa86a69afa5e970a7ddf8fd6c2d4494ff4b5a64e05c07"}, ] [package.dependencies] diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py index 0fe8b7298f9b8..96d16d062310b 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py @@ -17,12 +17,13 @@ def setUp(self): "processing": {"text_fields": ["str_col"], "metadata_fields": [], "chunk_size": 1000}, "embedding": {"mode": "openai", "openai_key": "mykey"}, "indexing": { - "account": "MYACCOUNT", - "username": "MYUSERNAME", - "password": "xxxxxxx", - "database": "MYDATABASE", - "warehouse": "MYWAREHOUSE", - "role": "ACCOUNTADMIN" + "host": "MYACCOUNT", + "role": "MYUSERNAME", + "warehouse": "MYWAREHOUSE", + "database": "MYDATABASE", + "default_schema": "MYSCHEMA", + "username": "MYUSERNAME", + "password": "xxxxxxx" }, } self.config_model = ConfigModel.parse_obj(self.config) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py index 003cbb3e2781b..82fa9ff05bb24 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py @@ -19,7 +19,7 @@ def _create_snowflake_cortex_indexer(catalog:Optional[ConfiguredAirbyteCatalog] ): - config = SnowflakeCortexIndexingModel(account="account", username="username", password="password", database="database", warehouse="warehouse", role="role") + config = SnowflakeCortexIndexingModel(host="account", username="username", password="password", database="database", warehouse="warehouse", role="role", default_schema="schema") with patch.object(SnowflakeCortexIndexer, '_init_db_connection', side_effect=None): indexer = SnowflakeCortexIndexer(config, 3, Mock(ConfiguredAirbyteCatalog) if catalog is None else catalog) return indexer From 286327b6953ac420bea86376f385e2c227cea411 Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Tue, 14 May 2024 12:19:15 -0700 Subject: [PATCH 36/39] added new credentials section in config --- .../destination_snowflake_cortex/config.py | 37 +++++++++++-------- .../destination_snowflake_cortex/indexer.py | 2 +- .../integration_tests/integration_test.py | 2 +- .../integration_tests/spec.json | 22 +++++++---- .../unit_tests/destination_test.py | 4 +- .../unit_tests/indexer_test.py | 13 ++++++- 6 files changed, 53 insertions(+), 27 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py index 8c0c8a11caef1..4f7756cb187d8 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py @@ -3,24 +3,27 @@ # +from typing import Literal, Union + from airbyte_cdk.destinations.vector_db_based.config import VectorDBConfigModel +from airbyte_cdk.utils.oneof_option_config import OneOfOptionConfig from pydantic import BaseModel, Field -# to-do - https://github.com/airbytehq/airbyte/issues/38007 - add Snowflake supported models to config -# "indexing": { -# "host": "NXA17679", -# "role": "ACCOUNTADMIN", -# "warehouse": "COMPUTE_WH", -# "database": "PYAIRBYTE_INTEGRATION_TEST", -# "schema": "airbyte_raw", -# "username": "airbytepartneradmin", -# "credentials": { -# "password": "t^$JK9g6CfqDH@4U" -# } -# } +class PasswordBasedAuthorizationModel(BaseModel): + password: str = Field( + ..., + title="Password", + airbyte_secret=True, + description="Enter the password you want to use to access the database", + examples=["AIRBYTE_PASSWORD"], + ) + + class Config: + title = "Credentials" +# to-do - https://github.com/airbytehq/airbyte/issues/38007 - add Snowflake supported models to embedding options class SnowflakeCortexIndexingModel(BaseModel): host: str = Field( ..., @@ -65,11 +68,13 @@ class SnowflakeCortexIndexingModel(BaseModel): examples=["AIRBYTE_USER"], ) - # add a dropdown for password + credentials: PasswordBasedAuthorizationModel - password: str = Field( - ..., title="Password", airbyte_secret=True, description="Enter the password associated with the user you entered above" - ) + # credentials: SnowflakeCortexAuthorizationModel = Field( + # default=None, + # title="Authorization Method", + # type="object", + # ) class Config: title = "Indexing" diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py index 7c3e0524355ac..52e2a9f6b6521 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/indexer.py @@ -44,7 +44,7 @@ def __init__(self, config: SnowflakeCortexIndexingModel, embedding_dimensions: i warehouse=config.warehouse, database=config.database, username=config.username, - password=config.password, + password=config.credentials.password, schema_name=config.default_schema, ) self.embedding_dimensions = embedding_dimensions diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index 1bce019727d0c..35af5e16c0881 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -57,7 +57,7 @@ def _get_db_connection(self): database=self.config["indexing"]["database"], schema=self.config["indexing"]["default_schema"], user=self.config["indexing"]["username"], - password=self.config["indexing"]["password"], + password=self.config["indexing"]["credentials"]["password"], ) def _get_record_count(self, table_name): diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/spec.json b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/spec.json index 7bd550c139865..e71257cacb6e5 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/spec.json +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/spec.json @@ -320,7 +320,7 @@ "title": "Host", "description": "Enter the account name you want to use to access the database. This is usually the identifier before .snowflakecomputing.com", "airbyte_secret": true, - "examples": ["xxx.us-east-2.aws"], + "examples": ["AIRBYTE_ACCOUNT"], "type": "string" }, "role": { @@ -358,11 +358,19 @@ "examples": ["AIRBYTE_USER"], "type": "string" }, - "password": { - "title": "Password", - "description": "Enter the password associated with the user you entered above", - "airbyte_secret": true, - "type": "string" + "credentials": { + "title": "Credentials", + "type": "object", + "properties": { + "password": { + "title": "Password", + "description": "Enter the password you want to use to access the database", + "airbyte_secret": true, + "examples": ["AIRBYTE_PASSWORD"], + "type": "string" + } + }, + "required": ["password"] } }, "required": [ @@ -372,7 +380,7 @@ "database", "default_schema", "username", - "password" + "credentials" ], "description": "Snowflake can be used to store vector data and retrieve embeddings.", "group": "indexing" diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py index 96d16d062310b..7764df2af11e5 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/destination_test.py @@ -23,7 +23,9 @@ def setUp(self): "database": "MYDATABASE", "default_schema": "MYSCHEMA", "username": "MYUSERNAME", - "password": "xxxxxxx" + "credentials": { + "password": "xxxxxxx" + } }, } self.config_model = ConfigModel.parse_obj(self.config) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py index 82fa9ff05bb24..04c70e6db4c9f 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/unit_tests/indexer_test.py @@ -19,7 +19,18 @@ def _create_snowflake_cortex_indexer(catalog:Optional[ConfiguredAirbyteCatalog] ): - config = SnowflakeCortexIndexingModel(host="account", username="username", password="password", database="database", warehouse="warehouse", role="role", default_schema="schema") + snowflake_credentials = { + "host": "account", + "role": "role", + "warehouse": "warehouse", + "database": "database", + "default_schema": "schema", + "username": "username", + "credentials": { + "password": "xxxxxx" + } + } + config = SnowflakeCortexIndexingModel(**snowflake_credentials) with patch.object(SnowflakeCortexIndexer, '_init_db_connection', side_effect=None): indexer = SnowflakeCortexIndexer(config, 3, Mock(ConfiguredAirbyteCatalog) if catalog is None else catalog) return indexer From 0ad2f8196f25d4d0b81104bbd5ce87fc0ef0f4e8 Mon Sep 17 00:00:00 2001 From: Bindi Pankhudi Date: Tue, 14 May 2024 14:31:52 -0700 Subject: [PATCH 37/39] Update airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py Co-authored-by: Aaron ("AJ") Steers --- .../destination_snowflake_cortex/config.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py index 4f7756cb187d8..31d1ffbddf8cd 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/destination_snowflake_cortex/config.py @@ -70,12 +70,6 @@ class SnowflakeCortexIndexingModel(BaseModel): credentials: PasswordBasedAuthorizationModel - # credentials: SnowflakeCortexAuthorizationModel = Field( - # default=None, - # title="Authorization Method", - # type="object", - # ) - class Config: title = "Indexing" schema_extra = { From 4f5bc4c9877faf91806381ca2e26b7557900a7dd Mon Sep 17 00:00:00 2001 From: Bindi Pankhudi Date: Tue, 14 May 2024 16:03:24 -0700 Subject: [PATCH 38/39] Update airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml Co-authored-by: Aaron ("AJ") Steers --- .../connectors/destination-snowflake-cortex/metadata.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml index 6e2d774f0afac..506f35a3bcd34 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/metadata.yaml @@ -29,7 +29,7 @@ data: enabled: true oss: enabled: true - releaseDate: 2024-05-13 # TODO: Confirm the release date + releaseDate: 2024-05-14 releaseStage: beta resourceRequirements: jobSpecific: From 5a555377802525ac672a562ae7cccdbc31dda2dd Mon Sep 17 00:00:00 2001 From: bindipankhudi Date: Tue, 14 May 2024 16:10:26 -0700 Subject: [PATCH 39/39] updated test config --- .../integration_tests/integration_test.py | 4 +++- .../integration_tests/sample_config.json | 4 +++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py index 35af5e16c0881..39e0097a34ce6 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/integration_test.py @@ -43,7 +43,9 @@ def test_check_invalid_config(self): "database": "MYDATABASE", "default_schema": "MYSCHEMA", "username": "MYUSERNAME", - "password": "xxxxxxx" + "credentials": { + "password": "xxxxxxx" + } }, }, ) diff --git a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json index ca1fccf5d1f81..b516ce53d2117 100644 --- a/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json +++ b/airbyte-integrations/connectors/destination-snowflake-cortex/integration_tests/sample_config.json @@ -15,6 +15,8 @@ "database": "MYDATABASE", "default_schema": "MYSCHEMA", "username": "MYUSERNAME", - "password": "xxxxxxx" + "credentials": { + "password": "xxxxxxx" + } } }