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fix(aws): fixed cpu 1

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This commit is contained in:
Stan Girard 2023-09-21 11:26:58 +02:00
parent 65ace7e7ab
commit 6dac6b8561
4 changed files with 5 additions and 6 deletions
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4
.aws/task_definition.json
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@ -4,7 +4,7 @@
{ {
"name": "quivr", "name": "quivr",
"image": "253053805092.dkr.ecr.eu-west-3.amazonaws.com/quivr:bada136312ad3497664c3562a36b263d43c89c53", "image": "253053805092.dkr.ecr.eu-west-3.amazonaws.com/quivr:bada136312ad3497664c3562a36b263d43c89c53",
"cpu": "512", "cpu": "1024",
"memory": "2048", "memory": "2048",
"portMappings": [ "portMappings": [
{ {
@ -93,7 +93,7 @@
"requiresCompatibilities": [ "requiresCompatibilities": [
"FARGATE" "FARGATE"
], ],
"cpu": "512", "cpu": "1024",
"memory": "2048", "memory": "2048",
"runtimePlatform": { "runtimePlatform": {
"cpuArchitecture": "X86_64", "cpuArchitecture": "X86_64",

4
.aws/task_definition_preview.json
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@ -4,7 +4,7 @@
{ {
"name": "quivr", "name": "quivr",
"image": "253053805092.dkr.ecr.eu-west-3.amazonaws.com/quivr:c0ff0301002fe6d043270b26dabcfda797437afc", "image": "253053805092.dkr.ecr.eu-west-3.amazonaws.com/quivr:c0ff0301002fe6d043270b26dabcfda797437afc",
"cpu": "512", "cpu": "1024",
"memory": "2048", "memory": "2048",
"portMappings": [ "portMappings": [
{ {
@ -94,7 +94,7 @@
"requiresCompatibilities": [ "requiresCompatibilities": [
"FARGATE" "FARGATE"
], ],
"cpu": "512", "cpu": "1024",
"memory": "2048", "memory": "2048",
"runtimePlatform": { "runtimePlatform": {
"cpuArchitecture": "X86_64", "cpuArchitecture": "X86_64",

2
.aws/task_definition_strapi.json
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@ -85,7 +85,7 @@
"requiresCompatibilities": [ "requiresCompatibilities": [
"FARGATE" "FARGATE"
], ],
"cpu": "512", "cpu": "1024",
"memory": "2048", "memory": "2048",
"runtimePlatform": { "runtimePlatform": {
"cpuArchitecture": "X86_64", "cpuArchitecture": "X86_64",

1
backend/celery_task.py
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@ -12,7 +12,6 @@ def create_embedding_for_document(
neurons = Neurons() neurons = Neurons()
doc = DocumentSerializable.from_json(doc_with_metadata) doc = DocumentSerializable.from_json(doc_with_metadata)
created_vector = neurons.create_vector(doc, user_openai_api_key) 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 = get_supabase_db()
database.set_file_sha_from_metadata(file_sha1) database.set_file_sha_from_metadata(file_sha1)