def should_work(_):
yield DynamicOutput(1, output_name="numbers", mapping_key="1")
yield DynamicOutput(2, output_name="numbers", mapping_key="2")
yield DynamicOutput("a", output_name="letters", mapping_key="a")
yield DynamicOutput("b", output_name="letters", mapping_key="b")
yield DynamicOutput("c", output_name="letters", mapping_key="c")
yield Output("*", "wildcard")
def test_invalid_mapping_keys():
with pytest.raises(DagsterInvalidDefinitionError):
DynamicOutput(True, mapping_key="")
with pytest.raises(DagsterInvalidDefinitionError):
DynamicOutput(True, mapping_key="?")
with pytest.raises(DagsterInvalidDefinitionError):
DynamicOutput(True, mapping_key="foo.baz")
def get_gtfs_files(context, original_filepath):
feed_files = gk.list_feed(original_filepath)['file_name']
for item in feed_files:
filename = Path(item).stem
yield DynamicOutput(filename,
mapping_key=filename,
output_name='filename')
def solid2(_, _input1):
for i in range(4):
yield DynamicOutput(
7,
mapping_key=str(i),
output_name="output2",
metadata_entries=[entry2],
)
def files_in_directory(context):
path = context.solid_config["path"]
dirname, _, filenames = next(os.walk(path))
for file in filenames:
yield DynamicOutput(
value=os.path.join(dirname, file),
# create a mapping key from the file name
mapping_key=file.replace(".", "_").replace("-", "_"),
)
def ingest_metadata_type(
context: AbstractComputeExecutionContext, result: list[JobId],
scratch_dataset_name: HcaScratchDatasetName
) -> Iterator[MetadataTypeFanoutResult]:
"""
For each metadata type, return a dynamic output over which we can later map
This saves us from hardcoding solids for each type
"""
for metadata_type in context.solid_config["metadata_types"]:
yield DynamicOutput(value=MetadataTypeFanoutResult(
scratch_dataset_name, metadata_type.value,
context.solid_config["prefix"]),
mapping_key=metadata_type.value,
output_name="table_fanout_result")
def resolve_dependencies_and_execute(context, queries_names,
materialization_locked: bool,
materialization_lock):
try:
# Setup directed graph for DAG sorting
graph = nx.DiGraph()
# Get dependencies
dependencies = {}
rp = RedisPal(constants.REDIS_HOST.value)
materialized_views: dict = rp.get(
constants.REDIS_KEY_MAT_VIEWS_MANAGED_VIEWS.value)
if materialized_views:
for query_name in queries_names:
if query_name in materialized_views[
"views"] and materialized_views["views"][query_name][
"materialized"]:
graph.add_node(query_name)
dependencies[query_name] = materialized_views["views"][
query_name]["depends_on"]
else:
context.log.warning(
f"{query_name} not found on Redis! Skipping...")
# Log dependencies
context.log.info(f"Dependencies: {dependencies}")
# Add edges to graph
for query_name in queries_names:
if query_name in dependencies:
for dep in dependencies[query_name]:
if dep in graph.nodes:
graph.add_edge(dep, query_name)
context.log.info(f"Graph: {graph.edges()}")
# Get topological order
order = list(nx.topological_sort(graph))
# Log topological order
context.log.info(f"Order: {order}")
# Execute queries in topological order
for q in order:
yield DynamicOutput(q, mapping_key=q.replace(".", "_"))
except:
locks.release(materialization_lock)
raise
def get_runs(context, execution_date):
execution_date = datetime.strptime(execution_date, "%Y-%m-%d")
now = execution_date + timedelta(hours=11, minutes=30)
this_time_yesterday = now - timedelta(days=1)
min_timestamp = convert_datetime_to_unix_time(this_time_yesterday)
max_timestamp = convert_datetime_to_unix_time(now)
context.log.info(f"{execution_date} of type {type(execution_date)}")
ftp_client = connect_ftp(os.getenv("FTPS_HOST"),
os.getenv("FTPS_USERNAME"), os.getenv("FTPS_PWD"))
# Change to working directory
ftp_client.cwd("/")
for folder in ftp_client.mlsd():
# Config yaml file will be folder_fileprefix.yaml
if folder[1]["type"] == "dir" and folder[0] in ALLOWED_FOLDERS:
# CWD to folder
context.log.info(f"Entering folder {folder[0]}")
folder_name = folder[0].lower()
# Read file list
for filepath in ftp_client.mlsd(folder_name):
filename = filepath[0]
fileprefix = filename.split("_")[0].lower()
timestamp = filepath[1]["modify"]
file_mtime = datetime.timestamp(parser.parse(timestamp))
if file_mtime >= min_timestamp and file_mtime < max_timestamp:
# Download file to local folder
try:
config = read_config(
Path(__file__).parent /
f"{folder_name}_{fileprefix}.yaml")
table_id = config["resources"]["basedosdados_config"][
"config"]["table_id"]
date = tuple(re.findall("\d+", filename))
ano = date[2][:4]
mes = date[2][4:6]
dia = date[2][6:]
relative_filepath = Path(
"raw/br_rj_riodejaneiro_rdo",
table_id,
f"ano={ano}",
f"mes={mes}",
f"dia={dia}",
)
local_filepath = Path(FTPS_DIRECTORY,
relative_filepath)
Path(local_filepath).mkdir(parents=True, exist_ok=True)
ftp_path = str(Path(folder_name, filename))
local_path = str(Path(local_filepath, filename))
# Run pipeline
config["solids"]["download_file_from_ftp"][
"inputs"] = {
"ftp_path": {
"value": ftp_path
},
"local_path": {
"value": local_path
},
}
config["solids"]["parse_file_path_and_partitions"][
"inputs"]["bucket_path"][
"value"] = f"{relative_filepath}/{filename}"
config["solids"]["upload_file_to_storage"] = {
"inputs": {
"file_path": {
"value": local_path
}
}
}
yield DynamicOutput(
config,
mapping_key=
f"{folder_name}_{fileprefix}_{uuid.uuid4().hex}",
)
except jinja2.TemplateNotFound as err:
context.log.warning(
f"Config file for file {filename} was not found. Skipping file."
)
context.log.warning(f"{Path(__file__).parent}")
ftp_client.cwd("/")
else:
context.log.warning(
f"Skipping file {folder[0]} since it is not inside a folder")
continue
def get_configs_for_materialized_view(context, query_names: list,
materialization_locked: bool,
materialization_lock) -> dict:
"""Retrieves configs for materialized views"""
try:
for query_name in query_names:
# Split query name into dataset_name and view_name
dataset_name, view_name = query_name.split(".")
# Load configs from GCS
view_yaml = f'{os.path.join(MATERIALIZED_VIEWS_PREFIX, dataset_name, view_name)}.yaml'
defaults_yaml = f'{os.path.join(MATERIALIZED_VIEWS_PREFIX, dataset_name)}/defaults.yaml'
context.log.info(f"Defaults blob: {defaults_yaml}")
context.log.info(f"View blob: {view_yaml}")
defaults_blob = get_blob(defaults_yaml,
SENSOR_BUCKET,
mode="staging")
view_blob = get_blob(view_yaml, SENSOR_BUCKET, mode="staging")
if defaults_blob is None:
raise Exception(f"Blob {defaults_yaml} not found!")
defaults_dict = yaml.safe_load(defaults_blob.download_as_string())
if view_blob:
view_dict = yaml.safe_load(view_blob.download_as_string())
else:
context.log.warning(
f"Blob {view_yaml} not found. This is not an error.")
view_dict = {}
# Merge configs
query_params = {**defaults_dict, **view_dict}
# Build base configs
now = datetime.datetime.now(pytz.timezone("America/Sao_Paulo"))
run_key = build_run_key(query_name, now)
with open(
str(
Path(__file__).parent /
"materialized_views_base_config.yaml"), "r") as f:
base_params: dict = yaml.safe_load(f)
base_params["run_timestamp"] = "'{}'".format(
convert_datetime_to_datetime_string(now))
base_params["maestro_sha"] = "'{}'".format(
fetch_branch_sha(constants.MAESTRO_REPOSITORY.value,
constants.MAESTRO_DEFAULT_BRANCH.value))
base_params["maestro_bq_sha"] = "'{}'".format(
fetch_branch_sha(constants.MAESTRO_BQ_REPOSITORY.value,
constants.MAESTRO_BQ_DEFAULT_BRANCH.value))
base_params["run_key"] = "'{}'".format(run_key)
# Few more params
r = Redis(constants.REDIS_HOST.value)
rp = RedisPal(constants.REDIS_HOST.value)
lock = Redlock(
key=constants.REDIS_KEY_MAT_VIEWS_MANAGED_VIEWS_LOCK.value,
masters=[r],
auto_release_time=constants.REDIS_LOCK_AUTO_RELEASE_TIME.value,
)
table_name = parse_filepath_to_tablename(view_yaml)
with lock:
managed = rp.get(
constants.REDIS_KEY_MAT_VIEWS_MANAGED_VIEWS.value)
if managed is None:
managed = {}
managed["views"] = {}
if query_name not in managed["views"]:
raise Exception(
f"Query {query_name} not found in managed views: {managed}"
)
d = managed["views"][query_name]
changed = d["query_modified"]
context.log.info(f"{query_name} changed: {changed}")
d["query_modified"] = False
last_run = d["last_run"]
d["last_run"] = now
rp.set(constants.REDIS_KEY_MAT_VIEWS_MANAGED_VIEWS.value,
managed)
# Get query on GCS
query_file = f'{os.path.join(MATERIALIZED_VIEWS_PREFIX, dataset_name, view_name)}.sql'
query_blob = get_blob(query_file, SENSOR_BUCKET, mode="staging")
if query_blob is None:
raise Exception(f"Blob {query_file} not found!")
base_query = query_blob.download_as_string().decode("utf-8")
# Get parent queries on GCS
parent_queries = {}
for query_name in d["depends_on"]:
if query_name in managed["views"] and managed["views"][
query_name]["materialized"]:
continue
query_file = f'{os.path.join(MATERIALIZED_VIEWS_PREFIX, "/".join(query_name.split(".")[:2]))}.sql'
query_blob = get_blob(query_file,
SENSOR_BUCKET,
mode="staging")
if query_blob is None:
context.log.warning(
f"Blob for parent query \"{query_file}\" not found, skipping..."
)
continue
parent_view_yaml = f'{os.path.join(MATERIALIZED_VIEWS_PREFIX, "/".join(query_name.split(".")[:2]))}.yaml'
parent_view_blob = get_blob(parent_view_yaml,
SENSOR_BUCKET,
mode="staging")
if parent_view_blob is not None:
parent_view_dict = yaml.safe_load(
parent_view_blob.download_as_string())
else:
parent_view_dict = {}
parent_defaults_yaml = f'{os.path.join(MATERIALIZED_VIEWS_PREFIX, "/".join(query_name.split(".")[:1]))}/defaults.yaml'
parent_defaults_blob = get_blob(parent_defaults_yaml,
SENSOR_BUCKET,
mode="staging")
if parent_defaults_blob is not None:
parent_defaults_dict = yaml.safe_load(
parent_defaults_blob.download_as_string())
else:
context.log.warning(
f"Blob for parent query \"{parent_defaults_yaml}\" not found, skipping..."
)
continue
parent_queries[query_name] = {}
parent_queries[query_name][
"base_query"] = query_blob.download_as_string().decode(
"utf-8")
parent_queries[query_name]["query_params"] = {
**parent_defaults_dict,
**parent_view_dict
}
context.log.info(f"Parent queries: {parent_queries}")
# Build configs
# - table_name: str
# - changed: bool
# - base_query: str
# - base_params: dict
# - query_params: dict
# - now: str
# - last_run: str
date_ranges = get_date_ranges(
last_run
if last_run else query_params["backfill"]["start_timestamp"],
query_params["backfill"]["interval"], now)
context.log.info(f"{date_ranges}")
for i, _ in enumerate(date_ranges[:-1]):
configs = {
"table_name": table_name,
"changed": changed if i == 0 else False,
"base_query": base_query,
"base_params": base_params,
"query_params": query_params,
"now": date_ranges[i + 1],
"last_run": date_ranges[i],
"parent_queries": parent_queries,
}
yield DynamicOutput(
{
"config_dict": configs,
"materialization_lock": materialization_lock
},
mapping_key=
f'{configs["table_name"]}_{configs["last_run"]}_{configs["now"]}'
.replace(".",
"_").replace("-",
"_").replace(" ",
"_").replace(":", "_"))
except Exception as e:
try:
locks.release(materialization_lock)
except:
pass
raise e
def update_managed_views(
context,
blob_names,
materialization_locked: bool,
materialization_lock: Redlock,
):
try:
# Setup Redis and Redlock
r = Redis(constants.REDIS_HOST.value)
rp = RedisPal(constants.REDIS_HOST.value)
views_lock = Redlock(
key=constants.REDIS_KEY_MAT_VIEWS_MANAGED_VIEWS_LOCK.value,
masters=[r],
auto_release_time=constants.REDIS_LOCK_AUTO_RELEASE_TIME.value,
)
# Initialize graph
graph = nx.DiGraph()
# If blob_name ends with "defaults.yaml", we need to
# either add it to Redis or update its values and add
# runs for every child it has and its dependencies.
for blob_name in [
b for b in blob_names if b.endswith("defaults.yaml")
]:
# Get dataset name
blob_path = "/".join([n for n in blob_name.split("/")
if n != ""][:-1])
dataset_name: str = blob_path.split("/")[-1]
context.log.info("#" * 80)
context.log.info(f"Updating {dataset_name} defaults")
# Read the blob
blob = get_blob(blob_name, SENSOR_BUCKET, mode="staging")
if blob is None:
raise Exception(f"Blob {blob_name} not found")
blob_dict: dict = yaml.safe_load(blob.download_as_string())
# Add it to Redis
with views_lock:
materialized_views: dict = rp.get(
constants.REDIS_KEY_MAT_VIEWS_MANAGED_VIEWS.value)
if materialized_views is None:
materialized_views = {}
materialized_views["views"] = {}
# Add every child to Redis
if "views" not in blob_dict:
raise Exception(
f"Malformed blob (missing views key): {blob_name}")
for key in blob_dict["views"].keys():
# Build key with dataset_name
m_key = f"{dataset_name}.{key}"
# This child also needs a run
context.log.info(f"Adding {m_key} to runs")
if m_key not in graph.nodes:
graph.add_node(m_key)
# Avoid KeyError
if "views" not in materialized_views:
materialized_views["views"] = {}
# Add to Redis
if m_key not in materialized_views["views"]:
materialized_views["views"][m_key] = {}
update_dict_with_dict(
materialized_views["views"][m_key], {
"cron_expression": blob_dict["scheduling"]["cron"],
"last_run": None,
"materialized":
blob_dict["views"][key]["materialized"],
"query_modified": True,
"depends_on":
blob_dict["views"][key]["depends_on"],
})
# Adds dependencies to runs
for dep in blob_dict["views"][key]["depends_on"]:
context.log.info(
f"Adding {dep} to runs as dependency of {m_key}")
if dep not in graph.nodes:
graph.add_node(dep)
graph.add_edge(dep, m_key)
# Try to find specific values for this view
blob = get_blob(blob_path + key + ".yaml",
SENSOR_BUCKET,
mode="staging")
if blob:
# Replace values in Redis
specific = yaml.safe_load(
blob.download_as_string().decode("utf-8"))
materialized_views["views"][m_key][
"cron_expression"] = specific["scheduling"]["cron"]
else:
context.log.warning(
f"No specific values for {m_key} found. This is not an error."
)
# Update Redis effectively
rp.set(constants.REDIS_KEY_MAT_VIEWS_MANAGED_VIEWS.value,
materialized_views)
# Otherwise, we need to add the blob_name and its
# dependencies to the graph.
for blob_name in [
b for b in blob_names if not b.endswith("defaults.yaml")
]:
# Get table name
file_name = ".".join(blob_name.split("/")[-2:])
table_name = ".".join(file_name.split(".")[:-1])
context.log.info("#" * 80)
context.log.info(f"Updating {table_name} specific values...")
# If it's YAML file, update values on Redis
if blob_name.endswith(".yaml"):
# Read the blob
blob = get_blob(blob_name, SENSOR_BUCKET, mode="staging")
if blob is None:
raise Exception(f"Blob {blob_name} not found")
blob_dict: dict = yaml.safe_load(blob.download_as_string())
# Update Redis
with views_lock:
materialized_views: dict = rp.get(
constants.REDIS_KEY_MAT_VIEWS_MANAGED_VIEWS.value)
if materialized_views is None:
materialized_views = {}
materialized_views["views"] = {}
if table_name not in materialized_views["views"]:
materialized_views["views"][table_name] = {}
update_dict_with_dict(
materialized_views["views"][table_name], {
"cron_expression": blob_dict["scheduling"]["cron"],
"last_run": None,
"query_modified": True,
})
rp.set(constants.REDIS_KEY_MAT_VIEWS_MANAGED_VIEWS.value,
materialized_views)
# Add table_name and its dependencies to runs
context.log.info(f"Adding {table_name} to runs")
if table_name not in graph.nodes:
graph.add_node(table_name)
materialized_views: dict = rp.get(
constants.REDIS_KEY_MAT_VIEWS_MANAGED_VIEWS.value)
if materialized_views is None:
materialized_views = {}
materialized_views["views"] = {}
if table_name in materialized_views["views"]:
for dep in materialized_views["views"][table_name][
"depends_on"]:
context.log.info(
f"Adding {dep} to runs as dependency of {table_name}")
if dep not in graph.nodes:
graph.add_node(dep)
graph.add_edge(dep, table_name)
context.log.info(f"Graph edges: {graph.edges()}")
# Get topological order
order = list(nx.topological_sort(graph))
# Filter out views that are not on materialized_views["views"]
order = [o for o in order if o in materialized_views["views"]]
# Log topological order
context.log.info(f"Order: {order}")
# Execute queries in topological order
for q in order:
yield DynamicOutput(
{
"view_name": q,
"materialization_lock": materialization_lock
},
mapping_key=q.replace(".", "_"))
except Exception as e:
try:
materialization_lock.release()
except:
pass
raise e
def dynamic_numbers(_):
yield DynamicOutput(1, mapping_key="1")
yield DynamicOutput(2, mapping_key="2")
def dynamic_solid(_):
yield DynamicOutput(1, mapping_key="mapping_1")
yield DynamicOutput(2, mapping_key="mapping_2")
def emit(_context, range_input):
for i in range(range_input):
yield DynamicOutput(value=i, mapping_key=str(i))
def emit(context):
for i in range(context.solid_config["range"]):
yield DynamicOutput(value=i, mapping_key=str(i))
def dyn_desc(_) -> Iterator[DynamicOutput]:
"""
Returns:
numbers
"""
yield DynamicOutput(4, "4")
def dynamic_add(_, x):
yield DynamicOutput(x + 1, mapping_key="1")
yield DynamicOutput(x + 2, mapping_key="2")
def should_fail(_):
yield DynamicOutput(True, mapping_key="dunk")
yield DynamicOutput(True, mapping_key="dunk")
def emit(context):
if context.solid_config["fail"]:
raise Exception("FAILURE")
for i in range(context.solid_config["range"]):
yield DynamicOutput(value=i, mapping_key=str(i))
def should_work(_):
yield DynamicOutput(1, mapping_key="1")
yield DynamicOutput(2, mapping_key="2")
def dynamic_echo(_, nums):
for x in nums:
yield DynamicOutput(value=x, mapping_key=str(x))
def emit(_):
for i in range(3):
yield DynamicOutput(value=i, mapping_key=str(i))
def numbers(_):
for i in range(3):
yield DynamicOutput(i, mapping_key=str(i))
