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…ates
- Include `df.input.durableClient()` in `customerLocationUpdate` HTTP trigger
- Introduce `InvocationContext` and orchestration call in `CustomerLocationControllerUpdate`
- Implement new orchestration `CustomerLocationUpdateOrchestration` for location updates
- Add `geo_location` field handling in `createLocationMetafield` and corresponding tests
- Create new activity and orchestration for updating location metafields
- Refactor `CustomerLocationServiceUpdate` to remove direct Shopify metafield update logic
3, because the PR involves multiple files with significant changes including new features, refactoring, and updates to existing functionality. The changes impact core functionality such as HTTP triggers, service logic, and orchestration which requires careful review to ensure system integrity and performance.
🧪 Relevant tests
Yes
⚡ Possible issues
Possible Bug: The CustomerLocationServiceUpdate function now returns directly from a MongoDB update operation. This change might lead to unexpected behavior if the consumer of this function expects the previous behavior where additional processing was done after the update.
Data Consistency: The removal of direct Shopify metafield update logic from CustomerLocationServiceUpdate and its distribution across multiple new functions and orchestrations increases the complexity of the system, which might lead to issues with data consistency if not handled properly.
🔒 Security concerns
No
Code feedback:
relevant file
src/functions/customer-location.function.ts
suggestion
Consider validating df.input.durableClient() before using it to ensure it is correctly configured and can prevent runtime errors. [important]
Correct the input parameter structure for starting a new orchestration
Ensure that the startNew method's input parameters are correctly provided. The second parameter should be the input for the orchestration, not an object containing the input. This change ensures that the orchestration receives the correct data structure.
Why: This suggestion corrects a potential bug that could prevent the orchestration from receiving the correct data structure, ensuring the functionality works as intended.
10
Add error handling for data validation to prevent server crashes
It's recommended to handle potential exceptions when parsing the query and body with Zod schemas. This can prevent the server from crashing due to unexpected inputs. Wrap the parsing logic in a try-catch block and handle the errors appropriately.
Why: Adding error handling for data validation is crucial to prevent server crashes due to unexpected inputs, enhancing the robustness of the application.
8
Security
Add authentication to protect the customer location update endpoint
Consider adding authentication and authorization checks for the customerLocationUpdate endpoint. Currently, the authLevel is set to "anonymous", which might expose sensitive customer location data to unauthorized users. Implementing proper authentication will ensure that only authenticated users can access or modify customer location data.
Why: This suggestion addresses a significant security concern by recommending the addition of authentication to protect sensitive customer location data from unauthorized access.
9
Possible issue
Implement error handling for Shopify API requests to enhance reliability
Add error handling for the shopifyAdmin().request call to manage scenarios where the Shopify API might fail or return an unexpected response. This can improve the reliability of the metafield update process.
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User description
…ates
df.input.durableClient()
incustomerLocationUpdate
HTTP triggerInvocationContext
and orchestration call inCustomerLocationControllerUpdate
CustomerLocationUpdateOrchestration
for location updatesgeo_location
field handling increateLocationMetafield
and corresponding testsCustomerLocationServiceUpdate
to remove direct Shopify metafield update logicPR Type
Enhancement, Tests
Description
df.input.durableClient()
tocustomerLocationUpdate
HTTP trigger.InvocationContext
and orchestration call inCustomerLocationControllerUpdate
.CustomerLocationUpdateOrchestration
for location updates.geo_location
field handling increateLocationMetafield
and corresponding tests.CustomerLocationServiceUpdate
to remove direct Shopify metafield update logic.Changes walkthrough 📝
6 files
customer-location.function.ts
Add durable client input to HTTP trigger
src/functions/customer-location.function.ts
df.input.durableClient()
tocustomerLocationUpdate
HTTP trigger.update.ts
Add orchestration call and context to controller
src/functions/customer/controllers/location/update.ts
InvocationContext
to the request type.CustomerLocationControllerUpdate
.create-location-metafield.ts
Handle geo_location field in location metafield creation
src/functions/customer/orchestrations/location/create/create-location-metafield.ts
geo_location
field handling increateLocationMetafield
.update.ts
Implement orchestration for updating location metafields
src/functions/customer/orchestrations/location/update.ts
update-location-metafield.ts
Implement updateLocationMetafield function and GraphQL mutation
src/functions/customer/orchestrations/location/update/update-location-metafield.ts
updateLocationMetafield
function.update.ts
Refactor location update service
src/functions/customer/services/location/update.ts
3 files
create-location-metafield.spec.ts
Update tests for location metafield creation
src/functions/customer/orchestrations/location/create/create-location-metafield.spec.ts
geo_location
field handling in tests.update-location-metafield.spec.ts
Add tests for updating location metafields
src/functions/customer/orchestrations/location/update/update-location-metafield.spec.ts
updateLocationMetafield
function.update.spec.ts
Refactor location update service tests
src/functions/customer/services/location/update.spec.ts