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vdk-huggingface: add new ingest plugin #2858

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22 changes: 22 additions & 0 deletions projects/vdk-plugins/vdk-huggingface/.plugin-ci.yml
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# Copyright 2021-2023 VMware, Inc.
# SPDX-License-Identifier: Apache-2.0

image: "python:3.7"

.build-vdk-huggingface:
variables:
PLUGIN_NAME: vdk-huggingface
extends: .build-plugin

build-py37-vdk-huggingface:
extends: .build-vdk-huggingface
image: "python:3.7"

build-py311-vdk-huggingface:
extends: .build-vdk-huggingface
image: "python:3.11"

release-vdk-huggingface:
variables:
PLUGIN_NAME: vdk-huggingface
extends: .release-plugin
50 changes: 50 additions & 0 deletions projects/vdk-plugins/vdk-huggingface/README.md
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# Huggingface

Versatile Data Kit (VDK) plugin for integrating with Huggingface as both a data source and a target.
This plugin allows you to ingest data payloads into a Huggingface repository and makes it easier to work with datasets stored in Huggingface.


## Usage

```
pip install vdk-huggingface
```

The functionality adds new ingestion method "huggingface" which can be used like that:

```python
job_input.send_object_for_ingestion(data, method="huggingface")
```


### Configuration

(`vdk config-help` is useful command to browse all config options of your installation of vdk)

| Name | Description | (example) Value |
|---------------------|-----------------------------------------------------------------------------|-------------------------|
| HUGGINGFACE_TOKEN | HuggingFace API token for authentication. Get one from HuggingFace Settings | "" |
| HUGGINGFACE_REPO_ID | HuggingFace Dataset repository ID | "username/test-dataset" |



### Build and testing

```
pip install -r requirements.txt
pip install -e .
pytest
```

In VDK repo [../build-plugin.sh](https://github.com/vmware/versatile-data-kit/tree/main/projects/vdk-plugins/build-plugin.sh) script can be used also.


#### Note about the CICD:

.plugin-ci.yaml is needed only for plugins part of [Versatile Data Kit Plugin repo](https://github.com/vmware/versatile-data-kit/tree/main/projects/vdk-plugins).

The CI/CD is separated in two stages, a build stage and a release stage.
The build stage is made up of a few jobs, all which inherit from the same
job configuration and only differ in the Python version they use (3.7, 3.8, 3.9 and 3.10).
They run according to rules, which are ordered in a way such that changes to a
plugin's directory trigger the plugin CI, but changes to a different plugin does not.
8 changes: 8 additions & 0 deletions projects/vdk-plugins/vdk-huggingface/requirements.txt
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# this file is used to provide testing requirements
# for requirements (dependencies) needed during and after installation of the plugin see (and update) setup.py install_requires section

datasets

pytest
vdk-core
vdk-test-utils
42 changes: 42 additions & 0 deletions projects/vdk-plugins/vdk-huggingface/setup.py
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# Copyright 2021-2023 VMware, Inc.
# SPDX-License-Identifier: Apache-2.0
import pathlib

import setuptools

"""
Builds a package with the help of setuptools in order for this package to be imported in other projects
"""

__version__ = "0.1.4"

setuptools.setup(
name="vdk-huggingface",
version=__version__,
url="https://github.com/vmware/versatile-data-kit",
description="Integrate VDK with Huggingface as both data source and target",
long_description=pathlib.Path("README.md").read_text(),
long_description_content_type="text/markdown",
install_requires=["vdk-core", "huggingface-hub"],
package_dir={"": "src"},
packages=setuptools.find_namespace_packages(where="src"),
# This is the only vdk plugin specifc part
# Define entry point called "vdk.plugin.run" with name of plugin and module to act as entry point.
entry_points={
"vdk.plugin.run": ["vdk-huggingface = vdk.plugin.huggingface.plugin_entry"]
},
classifiers=[
"Development Status :: 2 - Pre-Alpha",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
project_urls={
"Documentation": "https://github.com/vmware/versatile-data-kit/tree/main/projects/vdk-plugins/vdk-huggingface",
"Source Code": "https://github.com/vmware/versatile-data-kit/tree/main/projects/vdk-plugins/vdk-huggingface",
"Bug Tracker": "https://github.com/vmware/versatile-data-kit/issues/new/choose",
},
)
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# Copyright 2021-2023 VMware, Inc.
# SPDX-License-Identifier: Apache-2.0
import json
import os
import tempfile
from collections import defaultdict
from dataclasses import dataclass
from threading import RLock
from typing import Dict
from typing import List
from typing import Optional

from huggingface_hub import CommitOperationAdd
from huggingface_hub import HfApi
from vdk.api.plugin.plugin_input import IIngesterPlugin


@dataclass(frozen=True)
class OpKey:
repo_id: str
destination_table: str


class IngestToHuggingface(IIngesterPlugin):
def __init__(self, repo_id: str):
self._api = HfApi()
self._repo_id = repo_id
self._file_handles: Dict[OpKey, any] = {}
self._locks: Dict[OpKey, RLock] = defaultdict(RLock)

def ingest_payload(
self,
payload: List[dict],
destination_table: Optional[str],
target: Optional[str] = None,
collection_id: Optional[str] = None,
metadata: Optional[IIngesterPlugin.IngestionMetadata] = None,
) -> Optional[IIngesterPlugin.IngestionMetadata]:
repo_id = target if target is not None else self._repo_id

op_key = OpKey(repo_id, destination_table)
with self._locks[op_key]:
if op_key not in self._file_handles:
self._check_and_create_repo(repo_id)
temp_file = tempfile.NamedTemporaryFile(mode="w+", delete=False)
self._file_handles[op_key] = temp_file

self._append_payload(op_key, payload)

return None

def _append_payload(self, op_key: OpKey, payload: List[Dict]):
temp_file = self._file_handles[op_key]
temp_file.flush()
temp_file.seek(0)
existing_data_str = temp_file.read()

existing_data = json.loads(existing_data_str) if existing_data_str else []

merged_data = existing_data + payload
temp_file.seek(0)
temp_file.truncate()
json.dump(merged_data, temp_file)

def commit_all(self):
for op_key, temp_file in self._file_handles.items():
with self._locks[op_key]:
temp_file.close()
addition = CommitOperationAdd(
path_in_repo=op_key.destination_table,
path_or_fileobj=temp_file.name,
)
self._api.preupload_lfs_files(
op_key.repo_id, additions=[addition], repo_type="dataset"
)
self._api.create_commit(
op_key.repo_id,
operations=[addition],
repo_type="dataset",
commit_message="Automatic commit by vdk-huggingface",
)
os.unlink(temp_file.name)
self._file_handles.clear()

def _check_and_create_repo(self, repo_id: str):
if not self._api.repo_exists(repo_id):
self._api.create_repo(repo_id=repo_id, exist_ok=True, repo_type="dataset")
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# Copyright 2021-2023 VMware, Inc.
# SPDX-License-Identifier: Apache-2.0
import logging
from typing import List
from typing import Optional

import huggingface_hub
from vdk.api.plugin.hook_markers import hookimpl
from vdk.api.plugin.plugin_registry import IPluginRegistry
from vdk.internal.builtin_plugins.run.job_context import JobContext
from vdk.internal.core.config import ConfigurationBuilder
from vdk.plugin.huggingface.ingest import IngestToHuggingface

HUGGINGFACE_REPO_ID = "huggingface_repo_id"
HUGGINGFACE_TOKEN = "huggingface_token"

log = logging.getLogger(__name__)


class HuggingfacePlugin:
def __init__(self):
self._ingester: Optional[IngestToHuggingface] = None

@hookimpl(tryfirst=True)
def vdk_configure(self, config_builder: ConfigurationBuilder):
config_builder.add(
key=HUGGINGFACE_TOKEN,
default_value=None,
description="HuggingFace API token for authentication. "
"Get one from https://huggingface.co/settings/tokens",
)
config_builder.add(
key=HUGGINGFACE_REPO_ID,
default_value="username/test-dataset",
description="HuggingFace Dataset repository ID.",
)

@hookimpl
def initialize_job(self, context: JobContext) -> None:
repo_id = context.core_context.configuration.get_value(HUGGINGFACE_REPO_ID)
token = context.core_context.configuration.get_value(HUGGINGFACE_TOKEN)

if token:
log.info("huggingface log in", extra={"huggingface_repo_id": repo_id})
huggingface_hub.login(token)

self._ingester = IngestToHuggingface(repo_id)

context.ingester.add_ingester_factory_method(
"huggingface", lambda: self._ingester
)

@hookimpl(trylast=True)
def finalize_job(self, context: JobContext) -> None:
if self._ingester:
self._ingester.commit_all()
# TODO: on exception , this doesn't fail the job ...


@hookimpl
def vdk_start(plugin_registry: IPluginRegistry, command_line_args: List):
plugin_registry.load_plugin_with_hooks_impl(
HuggingfacePlugin(), "HuggingfacePlugin"
)
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# Copyright 2021-2023 VMware, Inc.
# SPDX-License-Identifier: Apache-2.0
from vdk.api.job_input import IJobInput


def run(job_input: IJobInput):
payload = {
"str_col": "str",
"int_col": 2,
"bool_col": False,
"time": job_input.get_arguments().get("time"),
}

for i in range(10):
job_input.send_object_for_ingestion(
payload=payload, destination_table="test_vdk_table", method="huggingface"
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is a table a huggingface repo id?

)
job_input.send_object_for_ingestion(
payload=payload, destination_table="test_vdk_table2", method="huggingface"
)
job_input.send_object_for_ingestion(
payload=payload, destination_table="test_vdk_table3", method="huggingface"
)
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# Copyright 2021-2023 VMware, Inc.
# SPDX-License-Identifier: Apache-2.0
import json
import os
import pathlib
import time

import pytest
from click.testing import Result
from huggingface_hub import HfApi
from vdk.plugin.huggingface import plugin_entry
from vdk.plugin.test_utils.util_funcs import cli_assert_equal
from vdk.plugin.test_utils.util_funcs import CliEntryBasedTestRunner
from vdk.plugin.test_utils.util_funcs import jobs_path_from_caller_directory


@pytest.mark.skipif(
os.environ.get("HUGGINGFACE_TOKEN") is None
or os.environ.get("HUGGINGFACE_REPO_ID") is None,
reason="Skipping test until HUGGINGFACE_TOKEN and HUGGINGFACE_REPO_ID and are set",
)
def test_huggingface_upload():
runner = CliEntryBasedTestRunner(plugin_entry)

time_var = time.time()
result: Result = runner.invoke(
[
"run",
jobs_path_from_caller_directory("huggingface-job"),
"--arguments",
json.dumps({"time": time_var}),
]
)
cli_assert_equal(0, result)

api = HfApi()
file_path = api.hf_hub_download(
repo_id=os.environ["HUGGINGFACE_REPO_ID"],
filename="test_vdk_table",
repo_type="dataset",
)
row = [{"str_col": "str", "int_col": 2, "bool_col": False, "time": time_var}]
assert json.loads(pathlib.Path(file_path).read_text()) == row * 10

file_path = api.hf_hub_download(
repo_id=os.environ["HUGGINGFACE_REPO_ID"],
filename="test_vdk_table2",
repo_type="dataset",
)
row = [{"str_col": "str", "int_col": 2, "bool_col": False, "time": time_var}]
assert json.loads(pathlib.Path(file_path).read_text()) == row * 10