send loguru to sentry
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parent
cd4193bd0d
commit
4aa121e5a1
3 changed files with 30 additions and 18 deletions
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@ -536,10 +536,11 @@ SENTRY_DSN = env("NEODB_SENTRY_DSN")
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if SENTRY_DSN:
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import sentry_sdk
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from sentry_sdk.integrations.django import DjangoIntegration
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from sentry_sdk.integrations.loguru import LoguruIntegration
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sentry_sdk.init(
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dsn=SENTRY_DSN,
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integrations=[DjangoIntegration()],
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integrations=[LoguruIntegration(), DjangoIntegration()],
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release=NEODB_VERSION,
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traces_sample_rate=1 if DEBUG else 0.01,
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traces_sample_rate=1 if DEBUG else 0.001,
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)
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@ -6,4 +6,4 @@ djlint~=1.34.0
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isort~=5.12.0
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lxml-stubs
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pre-commit
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pyright==1.1.338
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pyright==1.1.337
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@ -60,6 +60,23 @@ class Command(BaseCommand):
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parser.add_argument("--count", default=0, action="store")
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def process_post(self):
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def batch(pieces, tracker):
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with transaction.atomic(using="default"):
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with transaction.atomic(using="takahe"):
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for p in pieces:
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if p.__class__ == ShelfMember:
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mark = Mark(p.owner, p.item)
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Takahe.post_mark(mark, self.post_new)
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elif p.__class__ == Comment:
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if p.item.__class__ in [PodcastEpisode, TVEpisode]:
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Takahe.post_comment(p, self.post_new)
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elif p.__class__ == Review:
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Takahe.post_review(p, self.post_new)
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elif p.__class__ == Collection:
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Takahe.post_collection(p)
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tracker.set_postfix_str(str(pieces[-1].pk))
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tracker.update(len(pieces))
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logger.info(f"Generating posts...")
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set_migration_mode(True)
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qs = Piece.objects.filter(
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@ -72,21 +89,15 @@ class Command(BaseCommand):
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).order_by("id")
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if self.starting_id:
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qs = qs.filter(id__gte=self.starting_id)
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with transaction.atomic(using="default"):
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with transaction.atomic(using="takahe"):
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tracker = tqdm(qs.iterator(), total=self.count_est or qs.count())
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for p in tracker:
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tracker.set_postfix_str(f"{p.id}")
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if p.__class__ == ShelfMember:
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mark = Mark(p.owner, p.item)
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Takahe.post_mark(mark, self.post_new)
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elif p.__class__ == Comment:
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if p.item.__class__ in [PodcastEpisode, TVEpisode]:
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Takahe.post_comment(p, self.post_new)
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elif p.__class__ == Review:
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Takahe.post_review(p, self.post_new)
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elif p.__class__ == Collection:
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Takahe.post_collection(p)
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tracker = tqdm(total=self.count_est or qs.count())
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pieces = []
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for piece in qs.iterator():
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pieces.append(piece)
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if len(pieces) >= BATCH_SIZE:
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batch(pieces, tracker)
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pieces = []
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if pieces:
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batch(pieces, tracker)
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set_migration_mode(False)
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def process_timeline(self):
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