def __init__(
self,
bucket: str,
key: str = None,
stored_as_script: bool = False,
local_script_path: str = None,
client_options: dict = None,
upload_options: dict = None,
**kwargs: Any,
) -> None:
self.bucket = bucket
self.key = key
self.upload_options = upload_options
self.local_script_path = local_script_path or prefect.context.get(
"local_script_path", None
)
self.client_options = client_options
result = S3Result(bucket=bucket, boto3_kwargs=client_options)
super().__init__(
result=result,
stored_as_script=stored_as_script,
**kwargs,
)
def test_forwards_boto3_kwargs(self, mock_boto3):
result = S3Result(bucket="mybucket",
boto3_kwargs={"region_name": "a-region"})
assert result.client is not None
assert mock_boto3.client.call_args[1] == {
"aws_access_key_id": "access_key",
"aws_session_token": None,
"aws_secret_access_key": "secret_access_key",
"region_name": "a-region",
}
def test_s3_result_does_not_exist(self, mock_boto3):
import botocore
exc = botocore.exceptions.ClientError({"Error": {
"Code": "NoSuchKey"
}}, "list_objects")
mock_boto3.client.return_value.get_object.side_effect = exc
result = S3Result(bucket="bob", location="stuff")
result = result.format()
assert result.exists("stuff") is False
def test_s3_writes_to_blob_with_rendered_filename(self, mock_boto3):
result = S3Result(bucket="foo", location="{thing}/here.txt")
with prefect.context(thing="yes!"):
new_result = result.write("so-much-data", **prefect.context)
used_uri = mock_boto3.client.return_value.upload_fileobj.call_args[1][
"Key"]
assert used_uri == new_result.location
assert new_result.location.startswith("yes!/here.txt")
def test_s3_result_is_pickleable(self, mock_boto3):
class NoPickle:
def __getstate__(self):
raise ValueError("I cannot be pickled.")
mock_boto3.client.return_value = NoPickle()
result = S3Result(bucket="foo")
assert result.client is not None
res = cloudpickle.loads(cloudpickle.dumps(result))
assert isinstance(res, S3Result)
def test_s3_client_init_uses_secrets(self, session):
result = S3Result(bucket="bob", credentials_secret="AWS_CREDENTIALS")
assert result.bucket == "bob"
assert session.Session().client.called is False
with prefect.context(secrets=dict(
AWS_CREDENTIALS=dict(ACCESS_KEY=1, SECRET_ACCESS_KEY=42))):
with set_temporary_config({"cloud.use_local_secrets": True}):
result.initialize_client()
assert session.Session().client.call_args[1] == {
"aws_access_key_id": 1,
"aws_secret_access_key": 42,
}
def test_s3_client_init_uses_custom_secrets(self, session):
result = S3Result(bucket="bob", credentials_secret="MY_FOO")
with prefect.context(secrets=dict(
MY_FOO=dict(ACCESS_KEY=1, SECRET_ACCESS_KEY=999))):
with set_temporary_config({"cloud.use_local_secrets": True}):
result.initialize_client()
assert result.bucket == "bob"
assert session.Session().client.call_args[1] == {
"aws_access_key_id": 1,
"aws_secret_access_key": 999,
}
def test_s3_client_init_uses_secrets(self, mock_boto3):
result = S3Result(bucket="bob")
assert result.bucket == "bob"
assert mock_boto3.client.called is False
assert result.client is not None
assert mock_boto3.client.call_args[1] == {
"aws_access_key_id": "access_key",
"aws_session_token": None,
"aws_secret_access_key": "secret_access_key",
"region_name": None,
}
def __init__(self,
bucket: str,
client_options: dict = None,
key: str = None,
**kwargs: Any) -> None:
self.flows = dict() # type: Dict[str, str]
self._flows = dict() # type: Dict[str, "Flow"]
self.bucket = bucket
self.key = key
self.client_options = client_options
result = S3Result(bucket=bucket)
super().__init__(result=result, **kwargs)
def test_s3_writes_to_blob_with_rendered_filename(self, session):
result = S3Result(bucket="foo", filepath="{thing}/here.txt")
with prefect.context(
secrets=dict(
AWS_CREDENTIALS=dict(ACCESS_KEY=1, SECRET_ACCESS_KEY=42)),
thing="yes!",
) as ctx:
with set_temporary_config({"cloud.use_local_secrets": True}):
new_result = result.write("so-much-data", **ctx)
used_uri = session.Session(
).client.return_value.upload_fileobj.call_args[1]["Key"]
assert used_uri == new_result.filepath
assert new_result.filepath.startswith("yes!/here.txt")
def test_s3_result_exists(self, session):
import botocore
exc = botocore.exceptions.ClientError({"Error": {
"Code": "NoSuchKey"
}}, "list_objects")
class _client:
def __init__(self, *args, **kwargs):
pass
def get_object(self, *args, **kwargs):
return MagicMock()
session.Session().client = _client
result = S3Result(bucket="bob", location="stuff")
result = result.format()
assert result.exists("stuff") is True
def test_s3_result_does_not_exist(self, session):
import botocore
exc = botocore.exceptions.ClientError({"Error": {
"Code": "404"
}}, "list_objects")
class _client:
def __init__(self, *args, **kwargs):
pass
def get_object(self, *args, **kwargs):
raise exc
session.Session().client = _client
result = S3Result(bucket="bob", filepath="stuff")
result = result.format()
assert result.exists("stuff") == False
def test_s3_result_is_pickleable(self, monkeypatch):
class client:
def __init__(self, *args, **kwargs):
pass
def __getstate__(self):
raise ValueError("I cannot be pickled.")
import boto3
with patch.dict("sys.modules", {"boto3": MagicMock()}):
boto3.session.Session().client = client
with prefect.context(secrets=dict(
AWS_CREDENTIALS=dict(ACCESS_KEY=1, SECRET_ACCESS_KEY=42))):
with set_temporary_config({"cloud.use_local_secrets": True}):
result = S3Result(bucket="foo")
res = cloudpickle.loads(cloudpickle.dumps(result))
assert isinstance(res, S3Result)
def __init__(
self,
bucket: str,
key: str = None,
stored_as_script: bool = False,
local_script_path: str = None,
client_options: dict = None,
**kwargs: Any,
) -> None:
self.flows = dict() # type: Dict[str, str]
self._flows = dict() # type: Dict[str, "Flow"]
self.bucket = bucket
self.key = key
self.local_script_path = local_script_path or prefect.context.get(
"local_script_path", None)
self.client_options = client_options
result = S3Result(bucket=bucket)
super().__init__(
result=result,
stored_as_script=stored_as_script,
**kwargs,
)
from prefect import task, Flow, Parameter, unmapped
from prefect.engine.results import S3Result, LocalResult
from prefect.tasks.secrets.base import PrefectSecret
from moc_data_tasks import get_tsx_moc_imb, partition_df, df_to_db
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
# For other template options https://docs.prefect.io/api/latest/utilities/context.html#context-2
s3_result = S3Result(bucket="results-prefect-tst", location="{flow_name}-{today}/results.prefect")
#lcl_result = LocalResult(dir="~/prefect_guide/results/", location="{flow_name}/{today}")
result_h = s3_result
# A flow has no particular order unless the data is bound (shown) or explicitly set (not shown).
with Flow(name="Test-Get-Imbalances", result=result_h) as tsx_imb_fl:
tsx_url = Parameter("tsx_url", default="https://api.tmxmoney.com/mocimbalance/en/TSX/moc.html")
imb_tbl_nm = Parameter("imb_tbl_nm", default="moc_tst")
n_conn = Parameter("n_conn", default=1)
# Scrape the website
tsx_imb_df = get_tsx_moc_imb(tsx_url)
df = (source_df.loc[:, ~source_df.columns.str.contains("url")].drop(
["image", "episode"], axis="columns").set_index("id"))
df.to_csv(str_buffer)
csv_string = str_buffer.getvalue()
return csv_string
# Instanciar tarefas da biblioteca do Prefect
s3_upload = S3Upload(name="Upload")
# Definição da flow
with Flow("docker-dependencias",
result=S3Result(bucket="prefect-grupyrp")) as flow:
bucket = Parameter("Nome do bucket", required=True)
credenciais_aws = PrefectSecret("AWS_CREDENTIALS")
personagens = fetch_characters()
dados = build_csv(source=personagens)
csv_upload = s3_upload(
data=dados,
bucket=bucket,
credentials=credenciais_aws,
key=f"rick_and_morty/{data}_characters.csv",
)
if __name__ == "__main__":
flow.run_config = DockerRun(
env={"EXTRA_PIP_PACKAGES": "pandas requests prefect[aws]"})
flow.storage = GitHub(
flow.storage = Docker(
python_dependencies=[
'boto3',
'pandas',
],
env_vars={
'PREFECT__CONTEXT__MINIO_URL': 'http://minio:9000',
},
)
flow.environment = LocalEnvironment(executor=LocalDaskExecutor())
flow.result = S3Result(
bucket='prefect',
boto3_kwargs={
'endpoint_url': 'http://minio:9000',
'aws_access_key_id': 'accesskey',
'aws_secret_access_key': 'secretkey',
},
)
flow.register(project_name="My Project", labels=['docker'])
# warehouse
from flows.warehouse import flow
flow.storage = Docker(
base_image='wdpbigdata/spark:latest',
files={
abspath('scripts/warehouse.py'): '/opt/scripts/warehouse.py',
},
def test_s3_result_exists(self, mock_boto3):
result = S3Result(bucket="bob", location="stuff")
result = result.format()
assert result.exists("stuff") is True
from prefect.engine.results import S3Result
import time
@task(target="{task_name}-{today}")
def extract():
"""Get a list of data"""
return [1, 2, 3]
@task(target="{task_name}-{today}")
def transform(data):
"""Multiply the input by 10"""
return [i * 10 for i in data]
@task
def load(data):
"""Print the data to indicate it was received"""
print("Here's your data: {}".format(data))
from prefect import Flow
with Flow("ETL", result=S3Result(bucket="")) as flow:
e = extract()
t = transform(e)
l = load(t)
flow.run()
FLOWS_DIR_PATH = '/opt/server/src/flows'
storage_kwargs = {
'dockerfile': 'server/Dockerfile',
'registry_url': REGISTRY_URL,
'stored_as_script': True,
}
# Executer
local_executor = LocalExecutor()
dask_executor = DaskExecutor(address=DASK_SCHEDULER_ADDR)
# Result
if RESULT_SUBCLASS == 'azure':
result = AzureResult(container=AZURE_RESULT_CONTAINER)
elif RESULT_SUBCLASS == 's3':
result = S3Result(bucket=S3_RESULT_BUCKET)
else:
result = LocalResult(dir=LOCAL_RESULT_DIR)
# Set flow run configs
mapreduce_wordcount.run_config = run_config
# Set flow storage
mapreduce_wordcount.storage = Docker(
path=f'{FLOWS_DIR_PATH}/mock.py',
**storage_kwargs
)
import prefect
print(prefect.__version__)
from prefect import task, Flow
from prefect.engine.results import S3Result
@task(target="{task_name}-{today}")
def extract():
return [1, 2, 3]
@task(target="{task_name}-{today}")
def transform(data):
return [i * 10 for i in data]
@task
def load(data):
print("Here's your data: {}".format(data))
with Flow("ETL", result=S3Result(bucket="prefect-test-bucket")) as flow:
e = extract()
t = transform(e)
l = load(t)
flow.run()
print(f"\nHere's your data: {data}")
# Parameterized Scheduling
from prefect.schedules import Schedule
from prefect.schedules.clocks import IntervalClock, CronClock, DatesClock
clock1, clock2 = IntervalClock(
start_date=datetime.utcnow() + timedelta(seconds=10),
interval=timedelta(hours=12),
parameter_defaults={"length": 15}), IntervalClock(
start_date=datetime.utcnow() + timedelta(seconds=10),
interval=timedelta(hours=24),
parameter_defaults={"length": 20})
schedule = Schedule(clocks=[clock1, clock2])
# Define Tasks in a Flow Context
with Flow('Evolving ETL',
result=S3Result(bucket="flow-result-storage"),
state_handlers=[my_state_handler],
schedule=schedule) as flow:
with case(length, 5):
e = extract(length)
with case(length, 50):
e = extract(length)
t = transform.map(e)
l = load(t)
flow.run(parameters={'length': 50}) # Prints data
def requested_dates_task(start_date:str, end_date:str) -> list:
return get_open_market_dates(start_date, end_date)
@task(
checkpoint=True,
target="checkpoints/{tick_type}/symbol={symbol_date[0]}/date={symbol_date[1]}/data.prefect"
)
def backfill_task(symbol_date:tuple, tick_type:str) -> pd.DataFrame:
return backfill_date_tos3(symbol=symbol_date[0], date=symbol_date[1], tick_type=tick_type)
result_store = S3Result(
bucket='polygon-equities',
boto3_kwargs={
'aws_access_key_id': environ['B2_ACCESS_KEY_ID'],
'aws_secret_access_key': environ['B2_SECRET_ACCESS_KEY'],
'endpoint_url': environ['B2_ENDPOINT_URL']
}
)
with Flow(name='backfill-flow', result=result_store) as flow:
start_date = Parameter('start_date', default='2020-01-01')
end_date = Parameter('end_date', default='2020-02-01')
tick_type = Parameter('tick_type', default='trades')
symbols = Parameter('symbols', default=['GLD'])
req_dates = requested_dates_task(start_date, end_date)
symbol_date = cross_product_task(symbols, req_dates)
# Configurable value taken at runtime
length = Parameter(name="length", default=5, required=False)
# ETL Pipeline Tasks
@task(result=LocalResult(), target="{date:%A}/{task_name}.prefect")
def extract(length):
# Extract the data
return sample(range(100), length)
@task(max_retries=3, retry_delay=timedelta(seconds=5))
def transform(data):
# Transform the data
return data * 10
@task(trigger=some_successful(at_least=1, at_most=6))
def load(data):
# Load the data
print(f"\nHere's your data: {data}")
# Define Tasks in a Flow Context
with Flow('Evolving ETL', result=S3Result(bucket="flow-result-storage")) as flow:
with case(length, 5):
e = extract(length)
with case(length, 50):
e = extract(length)
t = transform.map(e)
l = load(t)
flow.run(parameters={'length': 50}) # Prints data
import prefect
print(prefect.__version__)
from prefect import task, Flow
from prefect.engine.results import LocalResult, S3Result
from prefect.tasks.secrets.base import PrefectSecret
from prefect.engine.executors import DaskExecutor, LocalExecutor
from prefect.environments.storage import Docker
from prefect.environments import RemoteEnvironment
template = '{flow_name}-{today}/{task_name}/{map_index}.prefect'
s3_result = S3Result(bucket="results-prefect-tst", )
@task()
def gen_list():
return [x for x in range(10)]
@task(target=template)
def add(x, y):
return x + y
@task(target=template)
def multiply(x, y):
return x * y