From 6dac6b85615792e8c482ea79a9779b6b00fde415 Mon Sep 17 00:00:00 2001 From: Stan Girard Date: Thu, 21 Sep 2023 11:26:58 +0200 Subject: [PATCH] fix(aws): fixed cpu 1 --- .aws/task_definition.json | 4 ++-- .aws/task_definition_preview.json | 4 ++-- .aws/task_definition_strapi.json | 2 +- backend/celery_task.py | 1 - 4 files changed, 5 insertions(+), 6 deletions(-) diff --git a/.aws/task_definition.json b/.aws/task_definition.json index 1a48d26f7..1135305ee 100644 --- a/.aws/task_definition.json +++ b/.aws/task_definition.json @@ -4,7 +4,7 @@ { "name": "quivr", "image": "253053805092.dkr.ecr.eu-west-3.amazonaws.com/quivr:bada136312ad3497664c3562a36b263d43c89c53", - "cpu": "512", + "cpu": "1024", "memory": "2048", "portMappings": [ { @@ -93,7 +93,7 @@ "requiresCompatibilities": [ "FARGATE" ], - "cpu": "512", + "cpu": "1024", "memory": "2048", "runtimePlatform": { "cpuArchitecture": "X86_64", diff --git a/.aws/task_definition_preview.json b/.aws/task_definition_preview.json index 3921ec9b5..c031bda46 100644 --- a/.aws/task_definition_preview.json +++ b/.aws/task_definition_preview.json @@ -4,7 +4,7 @@ { "name": "quivr", "image": "253053805092.dkr.ecr.eu-west-3.amazonaws.com/quivr:c0ff0301002fe6d043270b26dabcfda797437afc", - "cpu": "512", + "cpu": "1024", "memory": "2048", "portMappings": [ { @@ -94,7 +94,7 @@ "requiresCompatibilities": [ "FARGATE" ], - "cpu": "512", + "cpu": "1024", "memory": "2048", "runtimePlatform": { "cpuArchitecture": "X86_64", diff --git a/.aws/task_definition_strapi.json b/.aws/task_definition_strapi.json index b78c1fe1b..e49d00e5d 100644 --- a/.aws/task_definition_strapi.json +++ b/.aws/task_definition_strapi.json @@ -85,7 +85,7 @@ "requiresCompatibilities": [ "FARGATE" ], - "cpu": "512", + "cpu": "1024", "memory": "2048", "runtimePlatform": { "cpuArchitecture": "X86_64", diff --git a/backend/celery_task.py b/backend/celery_task.py index 622892847..15d4992e5 100644 --- a/backend/celery_task.py +++ b/backend/celery_task.py @@ -12,7 +12,6 @@ def create_embedding_for_document( neurons = Neurons() doc = DocumentSerializable.from_json(doc_with_metadata) created_vector = neurons.create_vector(doc, user_openai_api_key) - # add_usage(stats_db, "embedding", "audio", metadata={"file_name": file_meta_name,"file_type": ".txt", "chunk_size": chunk_size, "chunk_overlap": chunk_overlap}) database = get_supabase_db() database.set_file_sha_from_metadata(file_sha1)