mirror of
https://github.com/GSA/notifications-api.git
synced 2026-01-17 16:11:20 -05:00
@@ -4,6 +4,7 @@ import string
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import time
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import uuid
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from contextlib import contextmanager
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from multiprocessing import Manager
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from time import monotonic
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from celery import Celery, Task, current_task
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@@ -119,6 +120,9 @@ def create_app(application):
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redis_store.init_app(application)
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document_download_client.init_app(application)
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manager = Manager()
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application.config["job_cache"] = manager.dict()
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register_blueprint(application)
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# avoid circular imports by importing this file later
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@@ -2,7 +2,6 @@ import datetime
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import re
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import time
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from concurrent.futures import ThreadPoolExecutor
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from multiprocessing import Manager
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import botocore
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from boto3 import Session
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@@ -16,8 +15,6 @@ NEW_FILE_LOCATION_STRUCTURE = "{}-service-notify/{}.csv"
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# Temporarily extend cache to 7 days
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ttl = 60 * 60 * 24 * 7
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manager = Manager()
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job_cache = manager.dict()
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# Global variable
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@@ -25,17 +22,40 @@ s3_client = None
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s3_resource = None
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def set_job_cache(job_cache, key, value):
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def set_job_cache(key, value):
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current_app.logger.info(f"Setting {key} in the job_cache.")
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job_cache = current_app.config["job_cache"]
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job_cache[key] = (value, time.time() + 8 * 24 * 60 * 60)
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def get_job_cache(key):
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job_cache = current_app.config["job_cache"]
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ret = job_cache.get(key)
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if ret is None:
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current_app.logger.warning(f"Could not find {key} in the job_cache.")
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else:
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current_app.logger.info(f"Got {key} from job_cache.")
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return ret
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def len_job_cache():
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job_cache = current_app.config["job_cache"]
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ret = len(job_cache)
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current_app.logger.info(f"Length of job_cache is {ret}")
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return ret
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def clean_cache():
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job_cache = current_app.config["job_cache"]
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current_time = time.time()
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keys_to_delete = []
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for key, (_, expiry_time) in job_cache.items():
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if expiry_time < current_time:
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keys_to_delete.append(key)
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current_app.logger.info(
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f"Deleting the following keys from the job_cache: {keys_to_delete}"
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)
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for key in keys_to_delete:
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del job_cache[key]
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@@ -162,17 +182,16 @@ def read_s3_file(bucket_name, object_key, s3res):
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"""
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try:
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job_id = get_job_id_from_s3_object_key(object_key)
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if job_cache.get(job_id) is None:
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if get_job_cache(job_id) is None:
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object = (
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s3res.Object(bucket_name, object_key)
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.get()["Body"]
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.read()
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.decode("utf-8")
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)
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set_job_cache(job_cache, job_id, object)
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set_job_cache(job_cache, f"{job_id}_phones", extract_phones(object))
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set_job_cache(job_id, object)
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set_job_cache(f"{job_id}_phones", extract_phones(object))
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set_job_cache(
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job_cache,
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f"{job_id}_personalisation",
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extract_personalisation(object),
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)
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@@ -192,7 +211,7 @@ def get_s3_files():
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s3res = get_s3_resource()
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current_app.logger.info(
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f"job_cache length before regen: {len(job_cache)} #notify-admin-1200"
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f"job_cache length before regen: {len_job_cache()} #notify-admin-1200"
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)
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try:
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with ThreadPoolExecutor() as executor:
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@@ -201,7 +220,7 @@ def get_s3_files():
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current_app.logger.exception("Connection pool issue")
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current_app.logger.info(
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f"job_cache length after regen: {len(job_cache)} #notify-admin-1200"
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f"job_cache length after regen: {len_job_cache()} #notify-admin-1200"
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)
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@@ -424,12 +443,12 @@ def extract_personalisation(job):
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def get_phone_number_from_s3(service_id, job_id, job_row_number):
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job = job_cache.get(job_id)
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job = get_job_cache(job_id)
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if job is None:
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current_app.logger.info(f"job {job_id} was not in the cache")
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job = get_job_from_s3(service_id, job_id)
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# Even if it is None, put it here to avoid KeyErrors
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set_job_cache(job_cache, job_id, job)
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set_job_cache(job_id, job)
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else:
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# skip expiration date from cache, we don't need it here
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job = job[0]
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@@ -441,7 +460,7 @@ def get_phone_number_from_s3(service_id, job_id, job_row_number):
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return "Unavailable"
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phones = extract_phones(job)
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set_job_cache(job_cache, f"{job_id}_phones", phones)
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set_job_cache(f"{job_id}_phones", phones)
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# If we can find the quick dictionary, use it
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phone_to_return = phones[job_row_number]
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@@ -458,12 +477,12 @@ def get_personalisation_from_s3(service_id, job_id, job_row_number):
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# We don't want to constantly pull down a job from s3 every time we need the personalisation.
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# At the same time we don't want to store it in redis or the db
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# So this is a little recycling mechanism to reduce the number of downloads.
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job = job_cache.get(job_id)
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job = get_job_cache(job_id)
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if job is None:
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current_app.logger.info(f"job {job_id} was not in the cache")
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job = get_job_from_s3(service_id, job_id)
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# Even if it is None, put it here to avoid KeyErrors
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set_job_cache(job_cache, job_id, job)
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set_job_cache(job_id, job)
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else:
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# skip expiration date from cache, we don't need it here
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job = job[0]
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@@ -478,9 +497,9 @@ def get_personalisation_from_s3(service_id, job_id, job_row_number):
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)
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return {}
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set_job_cache(job_cache, f"{job_id}_personalisation", extract_personalisation(job))
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set_job_cache(f"{job_id}_personalisation", extract_personalisation(job))
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return job_cache.get(f"{job_id}_personalisation")[0].get(job_row_number)
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return get_job_cache(f"{job_id}_personalisation")[0].get(job_row_number)
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def get_job_metadata_from_s3(service_id, job_id):
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@@ -1,6 +1,6 @@
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env: production
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web_instances: 2
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web_memory: 2G
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web_memory: 3G
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worker_instances: 4
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worker_memory: 3G
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scheduler_memory: 256M
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@@ -1,7 +1,7 @@
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import os
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from datetime import timedelta
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from os import getenv
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from unittest.mock import ANY, MagicMock, Mock, call, patch
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from unittest.mock import MagicMock, Mock, call, patch
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import botocore
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import pytest
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@@ -70,7 +70,7 @@ def test_cleanup_old_s3_objects(mocker):
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mock_remove_csv_object.assert_called_once_with("A")
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def test_read_s3_file_success(mocker):
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def test_read_s3_file_success(client, mocker):
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mock_s3res = MagicMock()
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mock_extract_personalisation = mocker.patch("app.aws.s3.extract_personalisation")
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mock_extract_phones = mocker.patch("app.aws.s3.extract_phones")
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@@ -89,16 +89,13 @@ def test_read_s3_file_success(mocker):
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mock_extract_phones.return_value = ["1234567890"]
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mock_extract_personalisation.return_value = {"name": "John Doe"}
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global job_cache
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job_cache = {}
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read_s3_file(bucket_name, object_key, mock_s3res)
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mock_get_job_id.assert_called_once_with(object_key)
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mock_s3res.Object.assert_called_once_with(bucket_name, object_key)
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expected_calls = [
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call(ANY, job_id, file_content),
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call(ANY, f"{job_id}_phones", ["1234567890"]),
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call(ANY, f"{job_id}_personalisation", {"name": "John Doe"}),
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call(job_id, file_content),
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call(f"{job_id}_phones", ["1234567890"]),
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call(f"{job_id}_personalisation", {"name": "John Doe"}),
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]
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mock_set_job_cache.assert_has_calls(expected_calls, any_order=True)
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@@ -380,9 +377,12 @@ def test_file_exists_false(notify_api, mocker):
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get_s3_mock.assert_called_once()
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def test_get_s3_files_success(notify_api, mocker):
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def test_get_s3_files_success(client, mocker):
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mock_current_app = mocker.patch("app.aws.s3.current_app")
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mock_current_app.config = {"CSV_UPLOAD_BUCKET": {"bucket": "test-bucket"}}
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mock_current_app.config = {
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"CSV_UPLOAD_BUCKET": {"bucket": "test-bucket"},
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"job_cache": {},
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}
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mock_thread_pool_executor = mocker.patch("app.aws.s3.ThreadPoolExecutor")
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mock_read_s3_file = mocker.patch("app.aws.s3.read_s3_file")
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mock_list_s3_objects = mocker.patch("app.aws.s3.list_s3_objects")
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