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gdacs: pass file as input in transformer #266

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2 changes: 1 addition & 1 deletion apps/etl/extraction/sources/gdacs/extract.py
Original file line number Diff line number Diff line change
Expand Up @@ -147,7 +147,7 @@ def handle_extract(self):
@app.task(
bind=True,
base=RetryableTask,
rate_limit="100/m",
rate_limit="50/m",
)
def task(celery_task, extraction_id) -> int:
return GdacsExtraction(celery_task, extraction_id).handle()
27 changes: 19 additions & 8 deletions apps/etl/transform/sources/gdacs.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,3 @@
import json
import logging

from pystac_monty.sources.gdacs import (
Expand All @@ -8,6 +7,7 @@
)

from apps.etl.transform.sources.handler import BaseTransformerHandler
from apps.etl.utils import write_into_temp_file
from main.celery import app

logger = logging.getLogger(__name__)
Expand All @@ -21,23 +21,34 @@ class GDACSTransformHandler(BaseTransformerHandler[GDACSTransformer, GDACSDataSo

@classmethod
def get_schema_data(cls, extraction_object):
data = extraction_object.resp_data.read()
with extraction_object.resp_data.open("rb") as f:
file_content = f.read()
data_file = write_into_temp_file(file_content)

episodes = []
event_objects = extraction_object.child_extractions.all()
for episode_obj in event_objects:
episodes_data_dict = {}
event_episode_data = episode_obj.resp_data.read()
episodes_data_dict[GDACSDataSourceType.EVENT] = (episode_obj.url, json.loads(event_episode_data))

with episode_obj.resp_data.open("rb") as f:
file_content = f.read()
episode_data_temp_file = write_into_temp_file(file_content)

episodes_data_dict[GDACSDataSourceType.EVENT] = (episode_obj.url, episode_data_temp_file.name)
geometry_objects = episode_obj.child_extractions.all()

for geometry_detail in geometry_objects:
geometry_episode_data = geometry_detail.resp_data.read()
episodes_data_dict[GDACSDataSourceType.GEOMETRY] = (geometry_detail.url, json.loads(geometry_episode_data))
with geometry_detail.resp_data.open("rb") as f:
file_content = f.read()
geometry_detail_temp_file = write_into_temp_file(file_content)

episodes_data_dict[GDACSDataSourceType.GEOMETRY] = (geometry_detail.url, geometry_detail_temp_file.name)

episodes.append(episodes_data_dict)
return cls.transformer_schema(source_url=extraction_object.url, data=json.loads(data), episodes=episodes)

return cls.transformer_schema(source_url=extraction_object.url, data=data_file.name, episodes=episodes)

@staticmethod
@app.task
@app.task(rate_limit="50/m")
def task(extraction_id):
GDACSTransformHandler().handle_transformation(extraction_id)
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