simple test DAG
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from __future__ import annotations
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import gzip
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import io
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import json
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import os
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import zipfile
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from datetime import timedelta
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import pendulum
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from airflow.decorators import dag
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from airflow.decorators import task
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from airflow.operators.python import PythonOperator
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from airflow.providers.amazon.aws.hooks.s3 import S3Hook
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from airflow.utils.file import TemporaryDirectory
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from airflow.utils.helpers import chain
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from airflow.models import Variable
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from opensearchpy import OpenSearch, helpers
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from opensearch_indexes import mappings
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S3_BUCKET_NAME = os.getenv("S3_BUCKET_NAME", "eosc-catalog")
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AWS_CONN_ID = os.getenv("S3_CONN_ID", "s3_conn")
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EXECUTION_TIMEOUT = int(os.getenv("EXECUTION_TIMEOUT", 6))
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OPENSEARCH_HOST = Variable.get("OPENSEARCH_URL", "opensearch-cluster.lot1-opensearch-cluster.svc.cluster.local")
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OPENSEARCH_URL = Variable.get("OPENSEARCH_URL", "https://opensearch-cluster.lot1-opensearch-cluster.svc.cluster.local:9200")
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OPENSEARCH_USER = Variable.get("OPENSEARCH_USER", "admin")
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OPENSEARCH_PASSWD = Variable.get("OPENSEARCH_PASSWORD", "admin")
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ENTITIES = [ "interoperability", "services", "training"]
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BULK_PARALLELISM = 2
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#
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default_args = {
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"execution_timeout": timedelta(hours=EXECUTION_TIMEOUT),
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"retries": int(os.getenv("DEFAULT_TASK_RETRIES", 1)),
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"retry_delay": timedelta(seconds=int(os.getenv("DEFAULT_RETRY_DELAY_SECONDS", 60))),
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}
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def strip_prefix(s, p):
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if s.startswith(p):
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return s[len(p):]
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else:
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return s
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@dag(
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schedule=None,
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start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
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catchup=False,
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default_args=default_args,
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tags=["example", "async", "s3"],
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)
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def eosc_catalog_import():
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@task
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def unzip_to_s3(key: str, bucket: str):
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hook = S3Hook(AWS_CONN_ID, transfer_config_args={'use_threads': False})
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with TemporaryDirectory() as dwl_dir:
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with TemporaryDirectory() as tmp_dir:
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archive = f'{dwl_dir}/{key}'
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hook.download_file(key=key, bucket_name=bucket, local_path=dwl_dir, preserve_file_name=True,
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use_autogenerated_subdir=False)
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with zipfile.ZipFile(archive, 'r') as zip_ref:
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zip_ref.extractall(tmp_dir)
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for root, _, files in os.walk(tmp_dir):
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for file in files:
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if file == key:
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continue
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local_file_path = os.path.join(root, file)
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hook.load_file(local_file_path, strip_prefix(local_file_path, tmp_dir), S3_BUCKET_NAME,
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replace=True)
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return ""
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@task
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def create_indexes():
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client = OpenSearch(
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hosts=[{'host': OPENSEARCH_HOST, 'port': 9200}],
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http_auth=(OPENSEARCH_USER, OPENSEARCH_PASSWD),
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use_ssl=True,
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verify_certs=False,
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ssl_show_warn=False,
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pool_maxsize=20
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)
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for entity in ENTITIES:
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client.indices.delete(entity)
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client.indices.create(entity, {
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"settings": {
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"index": {
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"number_of_shards": 3,
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"number_of_replicas": 1,
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"refresh_interval": -1,
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"codec": "zstd_no_dict",
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"replication.type": "SEGMENT",
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"translog.flush_threshold_size": "2048MB",
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"mapping.ignore_malformed": "true"
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}
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},
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#"mappings": mappings[entity]
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})
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def compute_batches(ds=None, **kwargs):
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pieces = []
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for entity in ENTITIES:
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hook = S3Hook(AWS_CONN_ID, transfer_config_args={'use_threads': False})
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keys = hook.list_keys(bucket_name=S3_BUCKET_NAME, prefix=f'{entity}/')
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for key in keys:
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pieces.append((entity, key))
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def split_list(list_a, chunk_size):
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for i in range(0, len(list_a), chunk_size):
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yield {"files": list_a[i:i + chunk_size]}
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return list(split_list(pieces, len(pieces)//BULK_PARALLELISM))
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@task
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def bulk_load(files: list[(str, str)]):
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client = OpenSearch(
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hosts=[{'host': OPENSEARCH_HOST, 'port': 9200}],
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http_auth=(OPENSEARCH_USER, OPENSEARCH_PASSWD),
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use_ssl=True,
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verify_certs=False,
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ssl_show_warn=False,
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pool_maxsize=20
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)
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hook = S3Hook(AWS_CONN_ID, transfer_config_args={'use_threads': False})
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def _generate_data():
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for (entity, key) in files:
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print(f'{entity}: {key}')
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s3_obj = hook.get_key(key, bucket_name=S3_BUCKET_NAME)
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with gzip.GzipFile(fileobj=s3_obj.get()["Body"]) as gzipfile:
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buff = io.BufferedReader(gzipfile)
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for line in buff:
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data = json.loads(line)
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data['_index'] = entity
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data['_id'] = data['id']
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yield data
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succeeded = []
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failed = []
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for success, item in helpers.parallel_bulk(client, actions=_generate_data()):
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if success:
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succeeded.append(item)
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else:
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failed.append(item)
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if len(failed) > 0:
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print(f"There were {len(failed)} errors:")
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for item in failed:
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print(item["index"]["error"])
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if len(succeeded) > 0:
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print(f"Bulk-inserted {len(succeeded)} items (streaming_bulk).")
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@task
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def close_indexes():
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client = OpenSearch(
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hosts=[{'host': OPENSEARCH_HOST, 'port': 9200}],
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http_auth=(OPENSEARCH_USER, OPENSEARCH_PASSWD),
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use_ssl=True,
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verify_certs=False,
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ssl_show_warn=False,
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pool_maxsize=20
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)
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for entity in ENTITIES:
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client.indices.refresh(entity)
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parallel_batches = PythonOperator(task_id="compute_parallel_batches", python_callable=compute_batches)
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chain(
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unzip_to_s3.override(task_id="unzip_to_s3")("dump.zip", S3_BUCKET_NAME),
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create_indexes.override(task_id="create_indexes")(),
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parallel_batches,
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bulk_load.expand_kwargs(parallel_batches.output),
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close_indexes.override(task_id="close_indexes")()
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)
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eosc_catalog_import()
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