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Refactor requests to be blazingly fast ✨ #1
Conversation
WalkthroughThe changes enhance the asynchronous data fetching capabilities of the Changes
Sequence Diagram(s)sequenceDiagram
participant A as User
participant B as AsyncUpdater
participant C as RecipeFetcher
participant D as AttributeExtractor
A->>B: Request data update
B->>C: Fetch random recipes
B->>C: Fetch daily recipes
B->>C: Fetch vegan recipes
C-->>B: Return recipes
B->>D: Extract attributes for each recipe concurrently
D-->>B: Return extracted attributes
B-->>A: Send updated data
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Actionable comments posted: 0
Outside diff range, codebase verification and nitpick comments (1)
custom_components/chefkoch_ha/__init__.py (1)
44-45
: Improve logging message.The logging message "Fetching all recipes concurrently..." is clear, but it can be more descriptive by mentioning the types of recipes being fetched.
Consider updating the logging message to:
-_LOGGER.debug("Fetching all recipes concurrently...") +_LOGGER.debug("Fetching random, daily, and vegan recipes concurrently...")
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (1)
- custom_components/chefkoch_ha/init.py (3 hunks)
Additional comments not posted (7)
custom_components/chefkoch_ha/__init__.py (7)
46-50
: Ensure thread safety.Using
asyncio.to_thread
is a good approach to run blocking code in a separate thread. However, ensure that the retrievers are thread-safe.Verify that
RandomRetriever
,DailyRecipeRetriever
, andSearchRetriever
are thread-safe.
51-56
: LGTM!Using
asyncio.gather
to run tasks concurrently improves performance.The code changes are approved.
58-64
: LGTM!Logging the results after all tasks are completed provides a clear overview of the fetched data.
The code changes are approved.
102-109
: Ensure thread safety.Using
asyncio.to_thread
for recipe attribute extraction is a good approach. However, ensure that theRecipe
class andextract_recipe_attributes
function are thread-safe.Verify that the
Recipe
class andextract_recipe_attributes
function are thread-safe.
113-118
: LGTM!Using
asyncio.gather
to run tasks concurrently improves performance.The code changes are approved.
120-121
: LGTM!Logging the results after all tasks are completed provides a clear overview of the extracted attributes.
The code changes are approved.
167-170
: LGTM!Using
asyncio.gather
to run coordinator tasks concurrently improves performance.The code changes are approved.
Before: After your PR: Thanks for the improvement! |
Proposed Changes
You're already using threads. Why execute and wait for them in serial when you can execute them simultaneously.
I didn't test the code, please merge on your own risk.
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