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import os
import shutil
import logging
from huggingface_hub import WebhooksServer, WebhookPayload, webhook_endpoint
from datasets import Dataset, load_dataset, disable_caching
disable_caching()
# Set up the logger
logger = logging.getLogger("basic_logger")
logger.setLevel(logging.INFO)
# Set up the console handler with a simple format
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.INFO)
formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
console_handler.setFormatter(formatter)
logger.addHandler(console_handler)
DS_NAME = "amaye15/object-segmentation"
DATA_DIR = "data"
TARGET_REPO = "amaye15/tmp"
def get_data():
"""
Generator function to stream data from the dataset.
"""
ds = load_dataset(
DS_NAME,
cache_dir=os.path.join(os.getcwd(), DATA_DIR),
streaming=True,
download_mode="force_redownload",
)
for row in ds["train"]:
yield row
def process_and_push_data():
"""
Function to process and push new data to the target repository.
"""
p = os.path.join(os.getcwd(), DATA_DIR)
if os.path.exists(p):
shutil.rmtree(p)
os.mkdir(p)
ds_processed = Dataset.from_generator(get_data)
ds_processed.push_to_hub(TARGET_REPO)
logger.info("Data processed and pushed to the hub.")
# Initialize the WebhooksServer
app = WebhooksServer(webhook_secret="my_secret_key")
@webhook_endpoint
async def trigger_processing(payload: WebhookPayload):
"""
Webhook endpoint that triggers data processing when the dataset is updated.
"""
if payload.repo.type == "dataset" and payload.event.action == "update":
logger.info(f"Dataset {payload.repo.name} updated. Triggering processing.")
process_and_push_data()
return {"message": "Data processing triggered successfully."}
else:
logger.info(f"Ignored event: {payload.event.action} on {payload.repo.name}")
return {"message": "Event ignored."}
# Start the webhook server
app.launch()
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