Adds documentation and polish #1557
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Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (3)
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/SearchController.java (1)
150-154: API documentation could be enhanced furtherWhile the current documentation is good, consider adding:
@ApiResponseannotations to document possible response scenarios- Example values for lat/lon parameters
- Description of the ResultData structure in the response
@Operation( summary = "Search restaurants within range", - description = "Find restaurants within specified distance from given coordinates") + description = "Find restaurants within specified distance from given coordinates", + responses = { + @ApiResponse( + responseCode = "200", + description = "Successfully retrieved restaurants", + content = @Content(schema = @Schema(implementation = ResultData.class)) + ), + @ApiResponse( + responseCode = "400", + description = "Invalid parameters provided" + ) + })boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/RestaurantController.java (1)
82-93: Consider improving the URI creation and error handling.While the implementation is functionally correct, consider these improvements:
- The URI creation uses the restaurant name which might not be unique or URL-safe. Consider using the restaurant ID instead.
- The response could benefit from additional error handling for duplicate restaurants.
Here's a suggested improvement:
return this.restaurantService .createRestaurant(restaurantRequest) .map( restaurant -> ResponseEntity.created( - URI.create("/restaurant/" + restaurant.getName())) + URI.create("/api/restaurant/" + restaurant.getRestaurantId())) .body( new GenericMessage( "restaurant with name %s created" .formatted( restaurantRequest .name()))));boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/AggregationProcessor.java (1)
11-12: Consider adding class-level documentation and reviewing visibilityThe class is marked as package-private. If this is intended to be used only within the service package, consider documenting this design decision. Otherwise, consider making it public.
Add class-level Javadoc explaining the purpose and usage of this processor:
@Service +/** + * Processes Elasticsearch aggregations and transforms them into a structured map format. + * Supports 'terms' and 'dateRange' aggregation types. + */ class AggregationProcessor {
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📒 Files selected for processing (5)
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/utils/DateUtility.java(1 hunks)boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/RestaurantController.java(1 hunks)boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/SearchController.java(2 hunks)boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/AggregationProcessor.java(1 hunks)boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/SearchService.java(2 hunks)
🔇 Additional comments (6)
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/SearchController.java (1)
8-9: LGTM: Appropriate Swagger imports added
The addition of Swagger annotation imports enhances API documentation capabilities.
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/RestaurantController.java (1)
80-81: LGTM! Good improvements in validation and reactive support.
The method signature changes look good with:
- Proper reactive return type using
Mono - Added request validation with
@Valid
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/utils/DateUtility.java (2)
9-14: Well-documented null handling behavior!
The Javadoc clearly documents the method's behavior with null inputs, which is a great practice for API documentation.
16-18: Robust null handling implementation
Good defensive programming practice by adding an explicit null check at the start of the method.
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/SearchService.java (2)
25-31: Clean dependency injection implementation
Good practice using constructor injection for the new AggregationProcessor dependency.
124-128: Improved separation of concerns
Good refactoring to move aggregation processing logic to a dedicated class, making the code more maintainable.
Let's verify that all aggregation processing has been moved to the AggregationProcessor:
✅ Verification successful
Let me verify the aggregation processing logic by checking the actual implementation in SearchService.java.
Let me try a different approach to verify the aggregation processing logic.
Let me check the complete implementation of AggregationProcessor to verify all aggregation processing has been moved there.
Aggregation processing successfully moved to dedicated class
The verification confirms that all aggregation processing logic has been properly moved to the AggregationProcessor class. The SearchService now only delegates the aggregation processing to the injected AggregationProcessor instance, while the AggregationProcessor handles both string terms and date range aggregations in a clean, focused implementation. This confirms the successful separation of concerns mentioned in the review comment.
🏁 Scripts executed
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#!/bin/bash
# Description: Check for any remaining aggregation processing logic in SearchService
# Search for aggregation processing patterns
rg -i "bucket|aggregate.*map|sterms|daterange" --type java
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ast-grep --pattern 'class SearchService {
$$$
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rg -A 10 "class SearchService" boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/SearchService.java
echo "---"
rg -A 10 "class AggregationProcessor" boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/AggregationProcessor.java
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...mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/SearchController.java
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...odb-elasticsearch/src/main/java/com/example/mongoes/web/controller/RestaurantController.java
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Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/RestaurantService.java
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (6)
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/SearchController.java (1)
157-194: Consider adding rate limiting for geospatial queriesGeospatial queries can be resource-intensive. Consider adding rate limiting to prevent abuse.
Add the
@RateLimiterannotation to protect the endpoint:@GetMapping("/search/restaurant/withInRange") +@RateLimiter(name = "geospatialSearch", fallbackMethod = "geospatialSearchFallback") public Flux<ResultData> searchRestaurantsWithInRange(You'll need to configure the rate limiter properties in your application configuration:
resilience4j.ratelimiter: instances: geospatialSearch: limitForPeriod: 10 limitRefreshPeriod: 1s timeoutDuration: 500msboot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/AggregationProcessor.java (3)
9-12: Enhance class-level documentationWhile the documentation is clear, consider adding examples of the expected input and output formats to make it more helpful for other developers.
Add something like:
/** * Processes Elasticsearch aggregations and transforms them into a structured map format. Supports * 'terms' and 'dateRange' aggregation types. + * + * Example output format: + * { + * "termAggregation": {"term1": 10, "term2": 20}, + * "dateRangeAggregation": {"2023-01-01 - 2023-12-31": 100} + * } */
24-38: Add additional validation and error handlingWhile the null check is good, consider adding more defensive programming:
- Check if the aggregation or its components are null inside the lambda
- Handle potential exceptions from the aggregation operations
Consider this enhancement:
public Map<String, Map<String, Long>> processAggregations( Map<String, ElasticsearchAggregation> aggregationMap) { if (aggregationMap == null) { throw new IllegalArgumentException("aggregationMap must not be null"); } Map<String, Map<String, Long>> resultMap = new HashMap<>(); aggregationMap.forEach( (String aggregateKey, ElasticsearchAggregation aggregation) -> { + if (aggregation == null || aggregation.aggregation() == null) { + return; // Skip invalid entries + } Map<String, Long> countMap = new HashMap<>(); - Aggregate aggregate = aggregation.aggregation().getAggregate(); - processAggregate(aggregate, countMap); + try { + Aggregate aggregate = aggregation.aggregation().getAggregate(); + processAggregate(aggregate, countMap); + } catch (Exception e) { + // Log the error and continue processing other aggregations + log.warn("Failed to process aggregation {}: {}", aggregateKey, e.getMessage()); + } resultMap.put(aggregateKey, countMap); }); return resultMap; }
40-46: Handle unsupported aggregation typesThe
processAggregatemethod silently ignores unsupported aggregation types. Consider logging these cases for better observability.Consider this enhancement:
private void processAggregate(Aggregate aggregate, Map<String, Long> countMap) { if (aggregate.isSterms()) { processTermsAggregate(aggregate, countMap); } else if (aggregate.isDateRange()) { processDateRangeAggregate(aggregate, countMap); + } else { + log.debug("Unsupported aggregation type encountered: {}", + aggregate.getClass().getSimpleName()); } }boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/RestaurantController.java (1)
91-96: Simplify the message formattingThe current implementation uses string formatting twice unnecessarily. Consider simplifying it.
- .body( - new GenericMessage( - "restaurant with name %s created" - .formatted( - restaurantRequest - .name()))); + .body(new GenericMessage( + String.format("restaurant with name %s created", + restaurantRequest.name())));boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/RestaurantService.java (1)
90-110: Consider simplifying the document-to-entity mapping using a libraryManually mapping fields from
DocumenttoRestaurantcan be verbose and error-prone. Consider using a library like Spring Data MongoDB'sMongoConverterorMapStructto automate the mapping process.Example using
MongoConverter:@Autowired private MongoConverter mongoConverter; private Restaurant documentToRestaurant(Document document) { return mongoConverter.read(Restaurant.class, document); }This approach reduces boilerplate code and ensures consistency in the mapping process.
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📒 Files selected for processing (7)
.vscode/launch.json(1 hunks)boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/config/GlobalExceptionHandler.java(1 hunks)boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/RestaurantController.java(1 hunks)boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/SearchController.java(2 hunks)boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/exception/DuplicateRestaurantException.java(1 hunks)boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/AggregationProcessor.java(1 hunks)boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/RestaurantService.java(6 hunks)
🔇 Additional comments (10)
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/SearchController.java (3)
8-16: LGTM! Well-organized imports
The new imports are properly organized and necessary for API documentation and parameter validation.
157-166: LGTM! Well-documented API endpoint
The OpenAPI documentation is comprehensive with clear descriptions and response specifications.
169-193: Parameter validation implemented as suggested
The implementation includes all the suggested validations from the previous review.
.vscode/launch.json (1)
173-182: Consider aligning test configuration with production profile settings.
The new test configuration looks good, but consider adding the same profile setting as the production configuration (--spring.profiles.active=cluster) to ensure consistent testing environment, unless the test specifically requires different settings.
"mainClass": "com.example.mongoes.TestMongoESApplication",
"projectName": "boot-mongodb-elasticsearch",
- "args": "",
+ "args": "--spring.profiles.active=cluster",
"envFile": "${workspaceFolder}/.env"Let's verify the existence of the test class:
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/AggregationProcessor.java (1)
48-64: LGTM! Well-structured aggregation processing
The implementations for both terms and date range aggregations are clean, efficient, and handle their specific cases well. The filtering of zero counts in date range aggregations is a nice touch.
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/controller/RestaurantController.java (1)
80-96: Verify global exception handling implementation
The controller relies on global exception handling for duplicate restaurants as discussed in previous reviews. Let's verify the implementation.
✅ Verification successful
Let me check the actual implementation of the exception handler.
Global exception handling for duplicate restaurants is properly implemented
The GlobalExceptionHandler is correctly implemented with:
@RestControllerAdviceannotation for global exception handling- Dedicated handler method for
DuplicateRestaurantException - Appropriate HTTP 409 Conflict status code
- Proper error message propagation through
GenericMessage
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the implementation of global exception handler for duplicate restaurants
# Check for the global exception handler
echo "Checking for GlobalExceptionHandler..."
rg -l "DuplicateRestaurantException" --type java
# Check the actual implementation
echo "Checking handler implementation..."
ast-grep --pattern 'class $_ {
$$$
@ExceptionHandler(DuplicateRestaurantException.class)
$_ handle$_($_) {
$$$
}
$$$
}'
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#!/bin/bash
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rg -A 10 "DuplicateRestaurantException" boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/config/GlobalExceptionHandler.java
Length of output: 873
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/RestaurantService.java (2)
162-162: Verify the necessity of using Schedulers.boundedElastic()
Adding .publishOn(Schedulers.boundedElastic()) shifts the processing to the bounded elastic scheduler. Ensure this is necessary because it may introduce unintended threading and performance implications. If the downstream operations are non-blocking and CPU-bound, it's preferable to continue on the default scheduler.
If blocking calls exist downstream, consider confining those specific calls to Schedulers.boundedElastic() using subscribeOn or publishOn at that point.
64-80: 🛠️ Refactor suggestion
Consider parsing the JSON file as an array instead of splitting strings
Splitting the file content by newline (\n) may not correctly parse the JSON data, especially if the JSON entries contain newlines or if the file uses different line endings. This might be causing only 8 instead of 32,786 rows to be inserted. Parsing the file content as a JSON array would be more robust.
Here's how you might refactor the loadData method to parse the JSON file as a JSON array:
public Flux<Restaurant> loadData() {
return DataBufferUtils.read(
new ClassPathResource("restaurants.json"),
new DefaultDataBufferFactory(),
4096)
- .map(
+ .reduce(
+ new StringBuilder(),
(stringBuilder, dataBuffer) -> {
byte[] bytes = new byte[dataBuffer.readableByteCount()];
dataBuffer.read(bytes);
DataBufferUtils.release(dataBuffer);
- return new String(bytes, StandardCharsets.UTF_8);
+ return stringBuilder.append(new String(bytes, StandardCharsets.UTF_8));
})
+ )
- .flatMap(
- fileContent -> {
- List<String> restaurantArray = Arrays.asList(fileContent.split("\n"));
- return this.saveAll(restaurantArray);
- });
+ .flatMapMany(
+ stringBuilder -> {
+ String fileContent = stringBuilder.toString();
+ ObjectMapper objectMapper = new ObjectMapper();
+ List<Restaurant> restaurants = objectMapper.readValue(
+ fileContent, new TypeReference<List<Restaurant>>() {});
+ return restaurantRepository.saveAll(restaurants);
+ });
}Note: You'll need to import com.fasterxml.jackson.databind.ObjectMapper and com.fasterxml.jackson.core.type.TypeReference. Also, ensure that restaurants.json is formatted as a JSON array.
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/exception/DuplicateRestaurantException.java (1)
1-8: Well-defined custom exception class
The DuplicateRestaurantException class is properly defined, extending RuntimeException and providing a constructor that accepts a message. This allows for clear and specific exception handling in the application.
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/config/GlobalExceptionHandler.java (1)
13-17: Ensure consistent error response structure
The global exception handler correctly handles DuplicateRestaurantException and returns a ResponseEntity with status CONFLICT. Verify that GenericMessage provides sufficient information to the client. Consider adding standardized error codes or additional context if required.
...odb-elasticsearch/src/main/java/com/example/mongoes/web/controller/RestaurantController.java
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| public Mono<Object> createRestaurant(RestaurantRequest restaurantRequest) { | ||
| return restaurantESRepository | ||
| .findByName(restaurantRequest.name()) | ||
| .flatMap( | ||
| existingRestaurant -> | ||
| Mono.error( | ||
| new DuplicateRestaurantException( | ||
| "Restaurant with name " | ||
| + restaurantRequest.name() | ||
| + " already exists"))) | ||
| .switchIfEmpty(restaurantRepository.save(restaurantRequest.toRestaurant())); |
There was a problem hiding this comment.
Avoid using Mono<Object> as the return type; prefer a specific type
Changing the return type to Mono<Object> reduces type safety and clarity. It's better to return a specific type, such as Mono<Restaurant>, to maintain consistency and provide a clear contract to API consumers.
Here's how you might refactor the method:
-public Mono<Object> createRestaurant(RestaurantRequest restaurantRequest) {
+public Mono<Restaurant> createRestaurant(RestaurantRequest restaurantRequest) {
return restaurantESRepository
.findByName(restaurantRequest.name())
.flatMap(
existingRestaurant ->
Mono.error(
new DuplicateRestaurantException(
"Restaurant with name "
+ restaurantRequest.name()
+ " already exists")))
- .switchIfEmpty(restaurantRepository.save(restaurantRequest.toRestaurant()));
+ .switchIfEmpty(
+ restaurantRepository.save(restaurantRequest.toRestaurant())
+ .flatMap(savedRestaurant ->
+ restaurantESRepository.save(savedRestaurant)
+ .thenReturn(savedRestaurant)
+ )
+ );
}This refactoring maintains type specificity and ensures that the newly created restaurant is saved in both MongoDB and Elasticsearch repositories within the same reactive flow.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| public Mono<Object> createRestaurant(RestaurantRequest restaurantRequest) { | |
| return restaurantESRepository | |
| .findByName(restaurantRequest.name()) | |
| .flatMap( | |
| existingRestaurant -> | |
| Mono.error( | |
| new DuplicateRestaurantException( | |
| "Restaurant with name " | |
| + restaurantRequest.name() | |
| + " already exists"))) | |
| .switchIfEmpty(restaurantRepository.save(restaurantRequest.toRestaurant())); | |
| public Mono<Restaurant> createRestaurant(RestaurantRequest restaurantRequest) { | |
| return restaurantESRepository | |
| .findByName(restaurantRequest.name()) | |
| .flatMap( | |
| existingRestaurant -> | |
| Mono.error( | |
| new DuplicateRestaurantException( | |
| "Restaurant with name " | |
| + restaurantRequest.name() | |
| + " already exists"))) | |
| .switchIfEmpty( | |
| restaurantRepository.save(restaurantRequest.toRestaurant()) | |
| .flatMap(savedRestaurant -> | |
| restaurantESRepository.save(savedRestaurant) | |
| .thenReturn(savedRestaurant) | |
| ) | |
| ); |
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Actionable comments posted: 2
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boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/RestaurantService.java(6 hunks)
🔇 Additional comments (2)
boot-mongodb-elasticsearch/src/main/java/com/example/mongoes/web/service/RestaurantService.java (2)
163-163: LGTM! Good use of Schedulers.boundedElastic()
The addition of publishOn(Schedulers.boundedElastic()) is appropriate for handling potentially blocking operations in the change stream processor.
232-242:
Return type should be specific and data should be synchronized.
The current implementation has two issues:
- Using
Mono<Object>reduces type safety - Restaurant is only saved in MongoDB, not in Elasticsearch
Apply this fix:
-public Mono<Object> createRestaurant(RestaurantRequest restaurantRequest) {
+public Mono<Restaurant> createRestaurant(RestaurantRequest restaurantRequest) {
return restaurantESRepository
.findByName(restaurantRequest.name())
.flatMap(
existingRestaurant ->
Mono.error(
new DuplicateRestaurantException(
"Restaurant with name "
+ restaurantRequest.name()
+ " already exists")))
- .switchIfEmpty(restaurantRepository.save(restaurantRequest.toRestaurant()));
+ .switchIfEmpty(
+ restaurantRepository.save(restaurantRequest.toRestaurant())
+ .flatMap(savedRestaurant ->
+ restaurantESRepository.save(savedRestaurant)
+ .thenReturn(savedRestaurant)
+ )
+ );
}| public Flux<Restaurant> loadData() { | ||
| return DataBufferUtils.join( | ||
| DataBufferUtils.read( | ||
| new ClassPathResource("restaurants.json"), | ||
| new DefaultDataBufferFactory(), | ||
| 4096)) | ||
| .map( | ||
| dataBuffer -> { | ||
| byte[] bytes = new byte[dataBuffer.readableByteCount()]; | ||
| dataBuffer.read(bytes); | ||
| DataBufferUtils.release(dataBuffer); | ||
| return new String(bytes, StandardCharsets.UTF_8); | ||
| }) | ||
| .flatMapMany( | ||
| fileContent -> { | ||
| List<String> restaurantArray = Arrays.asList(fileContent.split("\n")); | ||
| return this.saveAll(restaurantArray); | ||
| }); |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Add error handling for file reading operations.
While the reactive file reading implementation is correct, it should handle potential errors that could occur during file operations.
Consider adding error handling:
public Flux<Restaurant> loadData() {
return DataBufferUtils.join(
DataBufferUtils.read(
new ClassPathResource("restaurants.json"),
new DefaultDataBufferFactory(),
4096))
.map(
dataBuffer -> {
byte[] bytes = new byte[dataBuffer.readableByteCount()];
dataBuffer.read(bytes);
DataBufferUtils.release(dataBuffer);
return new String(bytes, StandardCharsets.UTF_8);
})
.flatMapMany(
fileContent -> {
List<String> restaurantArray = Arrays.asList(fileContent.split("\n"));
return this.saveAll(restaurantArray);
})
+ .onErrorResume(error -> {
+ log.error("Error loading restaurant data: {}", error.getMessage());
+ return Flux.error(new RuntimeException("Failed to load restaurant data", error));
+ })
+ .doFinally(signalType -> log.info("Completed loading restaurant data: {}", signalType));
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| public Flux<Restaurant> loadData() { | |
| return DataBufferUtils.join( | |
| DataBufferUtils.read( | |
| new ClassPathResource("restaurants.json"), | |
| new DefaultDataBufferFactory(), | |
| 4096)) | |
| .map( | |
| dataBuffer -> { | |
| byte[] bytes = new byte[dataBuffer.readableByteCount()]; | |
| dataBuffer.read(bytes); | |
| DataBufferUtils.release(dataBuffer); | |
| return new String(bytes, StandardCharsets.UTF_8); | |
| }) | |
| .flatMapMany( | |
| fileContent -> { | |
| List<String> restaurantArray = Arrays.asList(fileContent.split("\n")); | |
| return this.saveAll(restaurantArray); | |
| }); | |
| public Flux<Restaurant> loadData() { | |
| return DataBufferUtils.join( | |
| DataBufferUtils.read( | |
| new ClassPathResource("restaurants.json"), | |
| new DefaultDataBufferFactory(), | |
| 4096)) | |
| .map( | |
| dataBuffer -> { | |
| byte[] bytes = new byte[dataBuffer.readableByteCount()]; | |
| dataBuffer.read(bytes); | |
| DataBufferUtils.release(dataBuffer); | |
| return new String(bytes, StandardCharsets.UTF_8); | |
| }) | |
| .flatMapMany( | |
| fileContent -> { | |
| List<String> restaurantArray = Arrays.asList(fileContent.split("\n")); | |
| return this.saveAll(restaurantArray); | |
| }) | |
| .onErrorResume(error -> { | |
| log.error("Error loading restaurant data: {}", error.getMessage()); | |
| return Flux.error(new RuntimeException("Failed to load restaurant data", error)); | |
| }) | |
| .doFinally(signalType -> log.info("Completed loading restaurant data: {}", signalType)); | |
| } |
| private Restaurant documentToRestaurant(Document document) { | ||
| Restaurant restaurant = new Restaurant(); | ||
| restaurant.setRestaurantId(Long.valueOf(document.get("restaurant_id", String.class))); | ||
| restaurant.setName(document.get("name", String.class)); | ||
| restaurant.setCuisine(document.get("cuisine", String.class)); | ||
| restaurant.setBorough(document.get("borough", String.class)); | ||
|
|
||
| Address address = new Address(); | ||
| Document addressDoc = document.get("address", Document.class); | ||
| address.setBuilding(addressDoc.get("building", String.class)); | ||
| address.setStreet(addressDoc.get("street", String.class)); | ||
| address.setZipcode(Integer.valueOf(addressDoc.get("zipcode", String.class))); | ||
| List<Double> coord = addressDoc.getList("coord", Double.class); | ||
| Point geoJsonPoint = new Point(coord.get(0), coord.get(1)); | ||
| address.setLocation(geoJsonPoint); | ||
| restaurant.setAddress(address); | ||
|
|
||
| List<Grades> gradesList = getGradesList(document.getList("grades", Document.class)); | ||
| restaurant.setGrades(gradesList); | ||
|
|
||
| return restaurant; |
There was a problem hiding this comment.
Add input validation and null checks in documentToRestaurant.
The method assumes all fields exist and are of the correct type, which could lead to NullPointerException or ClassCastException.
Consider adding validation:
private Restaurant documentToRestaurant(Document document) {
+ if (document == null) {
+ throw new IllegalArgumentException("Document cannot be null");
+ }
Restaurant restaurant = new Restaurant();
- restaurant.setRestaurantId(Long.valueOf(document.get("restaurant_id", String.class)));
+ String restaurantId = document.get("restaurant_id", String.class);
+ if (restaurantId == null) {
+ throw new IllegalArgumentException("restaurant_id is required");
+ }
+ restaurant.setRestaurantId(Long.valueOf(restaurantId));
restaurant.setName(document.get("name", String.class));
restaurant.setCuisine(document.get("cuisine", String.class));
restaurant.setBorough(document.get("borough", String.class));
Address address = new Address();
Document addressDoc = document.get("address", Document.class);
+ if (addressDoc == null) {
+ throw new IllegalArgumentException("address is required");
+ }
address.setBuilding(addressDoc.get("building", String.class));
address.setStreet(addressDoc.get("street", String.class));
address.setZipcode(Integer.valueOf(addressDoc.get("zipcode", String.class)));
List<Double> coord = addressDoc.getList("coord", Double.class);
+ if (coord == null || coord.size() != 2) {
+ throw new IllegalArgumentException("Invalid coordinates");
+ }
Point geoJsonPoint = new Point(coord.get(0), coord.get(1));
address.setLocation(geoJsonPoint);
restaurant.setAddress(address);
List<Grades> gradesList = getGradesList(document.getList("grades", Document.class));
restaurant.setGrades(gradesList);
return restaurant;
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| private Restaurant documentToRestaurant(Document document) { | |
| Restaurant restaurant = new Restaurant(); | |
| restaurant.setRestaurantId(Long.valueOf(document.get("restaurant_id", String.class))); | |
| restaurant.setName(document.get("name", String.class)); | |
| restaurant.setCuisine(document.get("cuisine", String.class)); | |
| restaurant.setBorough(document.get("borough", String.class)); | |
| Address address = new Address(); | |
| Document addressDoc = document.get("address", Document.class); | |
| address.setBuilding(addressDoc.get("building", String.class)); | |
| address.setStreet(addressDoc.get("street", String.class)); | |
| address.setZipcode(Integer.valueOf(addressDoc.get("zipcode", String.class))); | |
| List<Double> coord = addressDoc.getList("coord", Double.class); | |
| Point geoJsonPoint = new Point(coord.get(0), coord.get(1)); | |
| address.setLocation(geoJsonPoint); | |
| restaurant.setAddress(address); | |
| List<Grades> gradesList = getGradesList(document.getList("grades", Document.class)); | |
| restaurant.setGrades(gradesList); | |
| return restaurant; | |
| private Restaurant documentToRestaurant(Document document) { | |
| if (document == null) { | |
| throw new IllegalArgumentException("Document cannot be null"); | |
| } | |
| Restaurant restaurant = new Restaurant(); | |
| String restaurantId = document.get("restaurant_id", String.class); | |
| if (restaurantId == null) { | |
| throw new IllegalArgumentException("restaurant_id is required"); | |
| } | |
| restaurant.setRestaurantId(Long.valueOf(restaurantId)); | |
| restaurant.setName(document.get("name", String.class)); | |
| restaurant.setCuisine(document.get("cuisine", String.class)); | |
| restaurant.setBorough(document.get("borough", String.class)); | |
| Address address = new Address(); | |
| Document addressDoc = document.get("address", Document.class); | |
| if (addressDoc == null) { | |
| throw new IllegalArgumentException("address is required"); | |
| } | |
| address.setBuilding(addressDoc.get("building", String.class)); | |
| address.setStreet(addressDoc.get("street", String.class)); | |
| address.setZipcode(Integer.valueOf(addressDoc.get("zipcode", String.class))); | |
| List<Double> coord = addressDoc.getList("coord", Double.class); | |
| if (coord == null || coord.size() != 2) { | |
| throw new IllegalArgumentException("Invalid coordinates"); | |
| } | |
| Point geoJsonPoint = new Point(coord.get(0), coord.get(1)); | |
| address.setLocation(geoJsonPoint); | |
| restaurant.setAddress(address); | |
| List<Grades> gradesList = getGradesList(document.getList("grades", Document.class)); | |
| restaurant.setGrades(gradesList); | |
| return restaurant; |
|
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