mirror of
https://github.com/GSA/notifications-api.git
synced 2026-06-01 11:58:34 -04:00
merge from main
This commit is contained in:
@@ -209,7 +209,7 @@
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"filename": "tests/app/aws/test_s3.py",
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"hashed_secret": "67a74306b06d0c01624fe0d0249a570f4d093747",
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"is_verified": false,
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"line_number": 28,
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"line_number": 29,
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"is_secret": false
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}
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],
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@@ -384,5 +384,5 @@
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}
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]
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},
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"generated_at": "2024-09-26T14:17:05Z"
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"generated_at": "2024-09-27T16:42:53Z"
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}
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2
.github/workflows/checks.yml
vendored
2
.github/workflows/checks.yml
vendored
@@ -54,7 +54,7 @@ jobs:
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- name: Check for dead code
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run: make dead-code
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- name: Run tests with coverage
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run: poetry run coverage run --omit=*/notifications_utils/*,*/migrations/* -m pytest --maxfail=10
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run: poetry run coverage run --omit=*/migrations/* -m pytest --maxfail=10
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env:
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SQLALCHEMY_DATABASE_TEST_URI: postgresql://user:password@localhost:5432/test_notification_api
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NOTIFY_E2E_TEST_EMAIL: ${{ secrets.NOTIFY_E2E_TEST_EMAIL }}
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2
.github/workflows/deploy.yml
vendored
2
.github/workflows/deploy.yml
vendored
@@ -55,7 +55,7 @@ jobs:
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run: poetry export --without-hashes --format=requirements.txt > requirements.txt
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- name: Deploy to cloud.gov
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uses: 18f/cg-deploy-action@main
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uses: cloud-gov/cg-cli-tools@main
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env:
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DANGEROUS_SALT: ${{ secrets.DANGEROUS_SALT }}
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SECRET_KEY: ${{ secrets.SECRET_KEY }}
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2
Makefile
2
Makefile
@@ -81,7 +81,7 @@ test: ## Run tests and create coverage report
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poetry run black .
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poetry run flake8 .
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poetry run isort --check-only ./app ./tests
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poetry run coverage run --omit=*/notifications_utils/*,*/migrations/* -m pytest --maxfail=10
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poetry run coverage run --omit=*/migrations/* -m pytest --maxfail=10
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poetry run coverage report -m --fail-under=95
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poetry run coverage html -d .coverage_cache
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129
app/aws/s3.py
129
app/aws/s3.py
@@ -2,13 +2,12 @@ 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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from expiringdict import ExpiringDict
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from flask import current_app
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from app import redis_store
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from app.clients import AWS_CLIENT_CONFIG
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from notifications_utils import aware_utcnow
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@@ -16,17 +15,30 @@ 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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JOBS = ExpiringDict(max_len=20000, max_age_seconds=ttl)
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manager = Manager()
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job_cache = manager.dict()
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JOBS_CACHE_HITS = "JOBS_CACHE_HITS"
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JOBS_CACHE_MISSES = "JOBS_CACHE_MISSES"
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# Global variable
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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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job_cache[key] = (value, time.time() + 8 * 24 * 60 * 60)
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def clean_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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for key in keys_to_delete:
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del job_cache[key]
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def get_s3_client():
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global s3_client
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if s3_client is None:
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@@ -88,7 +100,6 @@ def get_bucket_name():
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def cleanup_old_s3_objects():
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bucket_name = get_bucket_name()
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s3_client = get_s3_client()
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@@ -100,9 +111,15 @@ def cleanup_old_s3_objects():
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while True:
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for obj in response.get("Contents", []):
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if obj["LastModified"] <= time_limit:
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current_app.logger.info(
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f"#delete-old-s3-objects Wanting to delete: {obj['LastModified']} {obj['Key']}"
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)
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try:
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remove_csv_object(obj["Key"])
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current_app.logger.info(
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f"#delete-old-s3-objects Deleted: {obj['LastModified']} {obj['Key']}"
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)
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except botocore.exceptions.ClientError:
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current_app.logger.exception(f"Couldn't delete {obj['Key']}")
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if "NextContinuationToken" in response:
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response = s3_client.list_objects_v2(
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Bucket=bucket_name,
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@@ -131,8 +148,8 @@ def read_s3_file(bucket_name, object_key, s3res):
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putting a list of all phone numbers into the cache as well.
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This means that when the report needs to be regenerated, it
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can easily find the phone numbers in the cache through JOBS[<job_id>_phones]
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and the personalization through JOBS[<job_id>_personalisation], which
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can easily find the phone numbers in the cache through job_cache[<job_id>_phones]
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and the personalization through job_cache[<job_id>_personalisation], which
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in theory should make report generation a lot faster.
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We are moving processing from the front end where the user can see it
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@@ -140,7 +157,7 @@ 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 JOBS.get(job_id) is None:
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if job_cache.get(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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@@ -148,9 +165,13 @@ def read_s3_file(bucket_name, object_key, s3res):
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.decode("utf-8")
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)
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if "phone number" in object.lower():
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JOBS[job_id] = object
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JOBS[f"{job_id}_phones"] = extract_phones(object)
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JOBS[f"{job_id}_personalisation"] = extract_personalisation(object)
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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(
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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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except LookupError:
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# perhaps our key is not formatted as we expected. If so skip it.
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@@ -167,13 +188,13 @@ 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"JOBS cache length before regen: {len(JOBS)} #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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with ThreadPoolExecutor() as executor:
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executor.map(lambda key: read_s3_file(bucket_name, key, s3res), object_keys)
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current_app.logger.info(
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f"JOBS cache length after regen: {len(JOBS)} #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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@@ -311,20 +332,6 @@ def get_job_from_s3(service_id, job_id):
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return None
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def incr_jobs_cache_misses():
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if not redis_store.get(JOBS_CACHE_MISSES):
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redis_store.set(JOBS_CACHE_MISSES, 1)
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else:
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redis_store.incr(JOBS_CACHE_MISSES)
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def incr_jobs_cache_hits():
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if not redis_store.get(JOBS_CACHE_HITS):
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redis_store.set(JOBS_CACHE_HITS, 1)
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else:
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redis_store.incr(JOBS_CACHE_HITS)
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def extract_phones(job):
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job = job.split("\r\n")
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first_row = job[0]
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@@ -333,7 +340,7 @@ def extract_phones(job):
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phone_index = 0
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for item in first_row:
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# Note: may contain a BOM and look like \ufeffphone number
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if "phone number" in item.lower():
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if item.lower() in ["phone number", "\\ufeffphone number"]:
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break
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phone_index = phone_index + 1
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@@ -357,7 +364,8 @@ def extract_phones(job):
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def extract_personalisation(job):
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job = job.split("\r\n")
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job = job[0].split("\r\n")
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first_row = job[0]
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job.pop(0)
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first_row = first_row.split(",")
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@@ -372,18 +380,15 @@ 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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# We don't want to constantly pull down a job from s3 every time we need a phone number.
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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 = JOBS.get(job_id)
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job = job_cache.get(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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JOBS[job_id] = job
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incr_jobs_cache_misses()
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set_job_cache(job_cache, job_id, job)
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else:
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incr_jobs_cache_hits()
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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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if job is None:
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current_app.logger.error(
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@@ -391,24 +396,19 @@ def get_phone_number_from_s3(service_id, job_id, job_row_number):
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)
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return "Unavailable"
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# If we look in the JOBS cache for the quick lookup dictionary of phones for a given job
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# If we look in the job_cache for the quick lookup dictionary of phones for a given job
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# and that dictionary is not there, create it
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if JOBS.get(f"{job_id}_phones") is None:
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JOBS[f"{job_id}_phones"] = extract_phones(job)
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if job_cache.get(f"{job_id}_phones") is None:
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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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# If we can find the quick dictionary, use it
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if JOBS.get(f"{job_id}_phones") is not None:
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phone_to_return = JOBS.get(f"{job_id}_phones").get(job_row_number)
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if phone_to_return:
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return phone_to_return
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else:
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current_app.logger.warning(
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f"Was unable to retrieve phone number from lookup dictionary for job {job_id}"
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)
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return "Unavailable"
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phone_to_return = phones[job_row_number]
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if phone_to_return:
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return phone_to_return
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else:
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current_app.logger.error(
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f"Was unable to construct lookup dictionary for job {job_id}"
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current_app.logger.warning(
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f"Was unable to retrieve phone number from lookup dictionary for job {job_id}"
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)
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return "Unavailable"
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@@ -417,13 +417,10 @@ 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 = JOBS.get(job_id)
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job = job_cache.get(job_id)
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if job is None:
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job = get_job_from_s3(service_id, job_id)
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JOBS[job_id] = job
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incr_jobs_cache_misses()
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else:
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incr_jobs_cache_hits()
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set_job_cache(job_cache, job_id, job)
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# If the job is None after our attempt to retrieve it from s3, it
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# probably means the job is old and has been deleted from s3, in
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@@ -436,14 +433,16 @@ 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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# If we look in the JOBS cache for the quick lookup dictionary of personalisations for a given job
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# If we look in the job_cache for the quick lookup dictionary of personalisations for a given job
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# and that dictionary is not there, create it
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if JOBS.get(f"{job_id}_personalisation") is None:
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JOBS[f"{job_id}_personalisation"] = extract_personalisation(job)
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if job_cache.get(f"{job_id}_personalisation") is None:
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set_job_cache(
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job_cache, f"{job_id}_personalisation", extract_personalisation(job)
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)
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# If we can find the quick dictionary, use it
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if JOBS.get(f"{job_id}_personalisation") is not None:
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personalisation_to_return = JOBS.get(f"{job_id}_personalisation").get(
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if job_cache.get(f"{job_id}_personalisation") is not None:
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personalisation_to_return = job_cache.get(f"{job_id}_personalisation")[0].get(
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job_row_number
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)
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if personalisation_to_return:
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@@ -446,6 +446,11 @@ def regenerate_job_cache():
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s3.get_s3_files()
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@notify_celery.task(name="clean-job-cache")
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def clean_job_cache():
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s3.clean_cache()
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@notify_celery.task(name="delete-old-s3-objects")
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def delete_old_s3_objects():
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s3.cleanup_old_s3_objects()
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@@ -251,12 +251,12 @@ class Config(object):
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},
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"delete_old_s3_objects": {
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"task": "delete-old-s3-objects",
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"schedule": crontab(minute="*/5"),
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"schedule": crontab(hour=7, minute=10),
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"options": {"queue": QueueNames.PERIODIC},
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},
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"regenerate-job-cache": {
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"task": "regenerate-job-cache",
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"schedule": crontab(minute="*/3"),
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"schedule": crontab(minute="*/30"),
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"options": {"queue": QueueNames.PERIODIC},
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},
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"regenerate-job-cache-on-startup": {
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@@ -269,6 +269,11 @@ class Config(object):
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"expires": 60,
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}, # Ensure it doesn't run if missed
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},
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"clean-job-cache": {
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"task": "clean-job-cache",
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"schedule": crontab(hour=2, minute=11),
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"options": {"queue": QueueNames.PERIODIC},
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},
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"cleanup-unfinished-jobs": {
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"task": "cleanup-unfinished-jobs",
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"schedule": crontab(hour=4, minute=5),
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@@ -1,4 +1,5 @@
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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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import pytest
|
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@@ -32,15 +33,30 @@ def single_s3_object_stub(key="foo", last_modified=None):
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|
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def test_cleanup_old_s3_objects(mocker):
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"""
|
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Currently we are going to delete s3 objects if they are more than 14 days old,
|
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because we want to delete all jobs older than 7 days, and jobs can be scheduled
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three days in advance, and on top of that we want to leave a little cushion for
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the time being. This test shows that a 3 day old job ("B") is not deleted,
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whereas a 30 day old job ("A") is.
|
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"""
|
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mocker.patch("app.aws.s3.get_bucket_name", return_value="Bucket")
|
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mock_s3_client = mocker.Mock()
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mocker.patch("app.aws.s3.get_s3_client", return_value=mock_s3_client)
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mock_remove_csv_object = mocker.patch("app.aws.s3.remove_csv_object")
|
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lastmod30 = aware_utcnow() - timedelta(days=30)
|
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lastmod3 = aware_utcnow() - timedelta(days=3)
|
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mock_s3_client.list_objects_v2.return_value = {
|
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"Contents": [{"Key": "A", "LastModified": aware_utcnow()}]
|
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"Contents": [
|
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{"Key": "A", "LastModified": lastmod30},
|
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{"Key": "B", "LastModified": lastmod3},
|
||||
]
|
||||
}
|
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cleanup_old_s3_objects()
|
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mock_s3_client.list_objects_v2.assert_called_with(Bucket="Bucket")
|
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mock_remove_csv_object.assert_called_once_with("A")
|
||||
|
||||
|
||||
def test_get_s3_file_makes_correct_call(notify_api, mocker):
|
||||
@@ -96,7 +112,6 @@ def test_get_s3_file_makes_correct_call(notify_api, mocker):
|
||||
def test_get_phone_number_from_s3(
|
||||
mocker, job, job_id, job_row_number, expected_phone_number
|
||||
):
|
||||
mocker.patch("app.aws.s3.redis_store")
|
||||
get_job_mock = mocker.patch("app.aws.s3.get_job_from_s3")
|
||||
get_job_mock.return_value = job
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phone_number = get_phone_number_from_s3("service_id", job_id, job_row_number)
|
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@@ -176,7 +191,6 @@ def test_get_job_from_s3_exponential_backoff_file_not_found(mocker):
|
||||
def test_get_personalisation_from_s3(
|
||||
mocker, job, job_id, job_row_number, expected_personalisation
|
||||
):
|
||||
mocker.patch("app.aws.s3.redis_store")
|
||||
get_job_mock = mocker.patch("app.aws.s3.get_job_from_s3")
|
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get_job_mock.return_value = job
|
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personalisation = get_personalisation_from_s3("service_id", job_id, job_row_number)
|
||||
|
||||
Reference in New Issue
Block a user