chore: linting and formatting

artefactory-skaff · Jan 16, 2024 · bb42143 · bb42143
1 parent 92ec42b
commit bb42143
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Showing 6 changed files with 10 additions and 10 deletions.
diff --git a/backend/user_management.py b/backend/user_management.py
@@ -2,9 +2,9 @@
 from datetime import datetime, timedelta
 from typing import Optional
 
+import argon2
 from jose import jwt
 from pydantic import BaseModel
-import argon2
 
 from backend.database import Database
 
@@ -56,10 +56,10 @@ def authenticate_user(username: str, password: bytes) -> bool | User:
     user = get_user(username)
     if not user:
         return False
-    
+
     if argon2.verify_password(user.hashed_password, password.encode("utf-8")):
         return user
-    
+
     return False
 
 def create_access_token(*, data: dict, expires_delta: Optional[timedelta] = None) -> str:

diff --git a/catalog-info.yaml b/catalog-info.yaml
@@ -18,4 +18,4 @@ metadata:
 spec:
   type: service
   owner: user:alexisVLRT
-  lifecycle: experimental
+  lifecycle: experimental
diff --git a/docs/cookbook.md b/docs/cookbook.md
@@ -3,4 +3,4 @@ Here you will find a repository of configurations that have proved to work.
 - [LLM Configuration samples](recipe_llms_configs.md)
 - [Embedding model Configuration samples](recipe_embedding_models_configs.md)
 - [Vector Store Configuration samples](recipe_vector_stores_configs.md)
-- [Database Configuration samples](recipe_databases_configs.md)
+- [Database Configuration samples](recipe_databases_configs.md)
diff --git a/docs/recipe_embedding_models_configs.md b/docs/recipe_embedding_models_configs.md
@@ -3,7 +3,7 @@
 This will download the selected model from the HF hub and make embeddings on the machine the backend is running on.
 ```shell
 pip install sentence_transformers
-``` 
+```
 
 ```yaml
 # backend/config.yaml
@@ -43,4 +43,4 @@ EmbeddingModelConfig: &EmbeddingModelConfig
   source: BedrockEmbeddings
   source_config:
     model_id: 'amazon.titan-embed-text-v1'
-```
+```
diff --git a/docs/recipe_llms_configs.md b/docs/recipe_llms_configs.md
@@ -34,10 +34,10 @@ LLMConfig: &LLMConfig
 
 ## Vertex AI gemini-pro
 
-!!! warning 
+!!! warning
 
     Right now Gemini models' safety settings are **very** sensitive, and is is not possible to disable them. That makes this model pretty much useless for the time being as it blocks most requests and/or responses.
-    
+
     Github issue to follow: https://github.com/langchain-ai/langchain/pull/15344#issuecomment-1888597151
 
 !!! info "You will first need to login to GCP"

diff --git a/requirements.in b/requirements.in
@@ -42,4 +42,4 @@ mkdocs
 mkdocs-techdocs-core
 pymdown-extensions
 mkdocs_monorepo_plugin
-argon2-cffi
+argon2-cffi