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use default logger #192
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use default logger #192
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cast instead of validate
WalkthroughThis change replaces job-specific logging ( Changes
Sequence Diagram(s)Not included as the changes are limited to logging and validation method swaps, with no control flow or feature modifications. Assessment against linked issues
Assessment against linked issues: Out-of-scope changes
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Actionable comments posted: 1
🧹 Nitpick comments (15)
backend/services/db-importer-worker/src/processors/RdbExportMonitorSaveProgressProcessor.ts (1)
14-14
: Prefer structured logging to avoid unnecessary JSON serialization.
Rather than interpolating a string withJSON.stringify
, leverage Pino’s structured logging so the payload is only serialized when the level is enabled:logger.debug( { jobId: job.id, data: job.data }, "Processing 'rdb-export-monitor-save-progress' job" );backend/services/db-importer-worker/src/processors/RdbImportMonitorSizeValidationProcessor.ts (1)
16-16
: Use structured log parameters instead ofJSON.stringify
.
Passing the data object directly avoids always serializing, improving performance when debug is off:logger.debug( { jobId: job.id, data: job.data }, "Processing 'rdb-import-monitor-size-validation-progress' job" );backend/services/db-importer-worker/src/processors/RdbImportSendSaveCommandProcessor.ts (1)
14-14
: Switch to structured logging for clarity and efficiency.
Supply the job context as an object so Pino controls serialization:logger.debug( { jobId: job.id, data: job.data }, "Processing 'rdb-import-send-save-command' job" );backend/services/db-importer-worker/src/processors/RdbExportRequestReadSignedURL.ts (1)
14-14
: Adopt structured logging to eliminate redundantJSON.stringify
calls.
Pino can log the payload directly and defer serialization:logger.debug( { jobId: job.id, data: job.data }, "Processing 'rdb-export-request-read-signed-url' job" );backend/services/db-importer-worker/src/processors/RdbImportMonitorFormatValidationProcessor.ts (1)
15-15
: Leverage Pino’s structured logging API.
Avoid manual JSON serialization by passing the context object to the logger:logger.debug( { jobId: job.id, data: job.data }, "Processing 'rdb-import-monitor-format-validation-progress' job" );backend/services/db-importer-worker/src/processors/RdbExportCopyRDBToBucketProcessor.ts (1)
15-15
: Use structured logging instead of JSON.stringify
Pino supports passing objects directly to its log methods, which avoids costly stringification at disabled log levels and yields richer structured logs. For example:logger.debug( { jobId: job.id, data: job.data }, "Processing 'rdb-export-copy-rdb-to-bucket' job" );backend/services/db-importer-worker/src/processors/RdbImportMonitorImportRDBProcessor.ts (1)
16-16
: Use structured logging instead of JSON.stringify
Pino supports passing objects directly to its log methods, which avoids costly stringification at disabled log levels and yields richer structured logs. For example:logger.debug( { jobId: job.id, data: job.data }, "Processing 'rdb-import-monitor-import-rdb' job" );backend/services/db-importer-worker/src/processors/RdbImportRecoverFailedImportProcessor.ts (1)
14-14
: Use structured logging instead of JSON.stringify
Pino supports passing objects directly to its log methods, which avoids costly stringification at disabled log levels and yields richer structured logs. For example:logger.debug( { jobId: job.id, data: job.data }, "Processing 'rdb-import-recover-failed-import' job" );backend/services/db-importer-worker/src/processors/RdbImportMakeLocalBackupProcessor.ts (1)
14-14
: Use structured logging instead of JSON.stringify
Pino supports passing objects directly to its log methods, which avoids costly stringification at disabled log levels and yields richer structured logs. For example:logger.debug( { jobId: job.id, data: job.data }, "Processing 'rdb-import-make-local-backup' job" );backend/services/db-importer-worker/src/processors/RdbImportFlushInstanceProcessor.ts (1)
14-14
: Use structured logging instead of JSON.stringify
Pino supports passing objects directly to its log methods, which avoids costly stringification at disabled log levels and yields richer structured logs. For example:logger.debug( { jobId: job.id, data: job.data }, "Processing 'rdb-import-flush-instance' job" );backend/services/db-importer-worker/src/processors/RdbImportRdbFormatValidationProcessor.ts (1)
14-14
: Centralize and structure log metadata
Usinglogger.debug
is a solid improvement. For richer, searchable logs, pass the job metadata as structured fields instead of stringifying:logger.debug( { jobId: job.id, jobData: job.data }, "Processing 'rdb-import-rdb-format-validation' job" );backend/services/db-importer-worker/src/processors/RdbExportMonitorRDBMergeProcessor.ts (1)
14-14
: Adopt structured logging for clarity
Switching tologger.debug
is appropriate. To leverage Pino’s structured logging, pass the relevant context instead of interpolating JSON manually:logger.debug( { jobId: job.id, jobData: job.data }, "Processing 'rdb-export-monitor-rdb-merge' job" );backend/services/db-importer-worker/src/processors/RdbExportSendSaveCommandProcessor.ts (1)
14-14
: Enhance log calls with structured context
Good move to standardize onlogger.debug
. For better observability, log the job details as fields:logger.debug( { jobId: job.id, jobData: job.data }, "Processing 'rdb-export-send-save-command' job" );backend/services/db-importer-worker/src/processors/RdbImportDeleteLocalBackupProcessor.ts (1)
14-14
: Use structured fields in debug logs
This change centralizes logging nicely. Consider sending metadata as an object for downstream log processing:logger.debug( { jobId: job.id, jobData: job.data }, "Processing 'rdb-import-delete-local-backup' job" );backend/services/db-importer-worker/src/repositories/tasks/TasksDBMongoRepository.ts (1)
20-22
: Consider adding error handling for MongoDB connection.Based on the AI summary, logging for successful MongoDB connection was removed. While this aligns with using the default logger, ensure that connection failures are still properly handled and logged.
Consider adding error handling:
this._client.connect() .then(() => this._client.db(this._db).createIndex(this._collection, 'taskId', { unique: true })) + .catch((error) => this._options.logger.error({ error }, 'Failed to connect to MongoDB'));
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📒 Files selected for processing (20)
backend/services/db-importer-worker/src/processors/RdbExportCopyRDBToBucketProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbExportMonitorRDBMergeProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbExportMonitorSaveProgressProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbExportRequestRDBMergeProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbExportRequestReadSignedURL.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbExportSendSaveCommandProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportDeleteLocalBackupProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportFlushInstanceProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportMakeLocalBackupProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportMonitorFormatValidationProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportMonitorImportRDBProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportMonitorSaveProgressProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportMonitorSizeValidationProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportRdbFormatValidationProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportRdbSizeValidationProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportRecoverFailedImportProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportRequestRdbImportProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportSendSaveCommandProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/processors/RdbImportValidateImportKeyNumberProcessor.ts
(1 hunks)backend/services/db-importer-worker/src/repositories/tasks/TasksDBMongoRepository.ts
(1 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (1)
backend/services/db-importer-worker/src/repositories/tasks/TasksDBMongoRepository.ts (1)
backend/services/db-importer-worker/src/schemas/rdb-task.ts (1)
RDBTask
(87-120)
⏰ Context from checks skipped due to timeout of 90000ms (3)
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🔇 Additional comments (5)
backend/services/db-importer-worker/src/processors/RdbImportMonitorSaveProgressProcessor.ts (1)
14-14
: Use default logger for job processing messagesThe change from
job.log
tologger.debug
unifies the logging approach; ensure the oldjob.log
invocation was removed and the logger is properly injected.backend/services/db-importer-worker/src/processors/RdbImportRdbSizeValidationProcessor.ts (1)
14-14
: Use default logger for job processing messagesSwitching from
job.log()
tologger.debug()
standardizes logging across processors; confirm the injection of thelogger
and removal of any remainingjob.log
calls.backend/services/db-importer-worker/src/processors/RdbImportRequestRdbImportProcessor.ts (1)
15-15
: Use default logger for job processing messagesReplacing the job-specific
job.log
withlogger.debug
aligns with the new centralized logging strategy; verify that no legacyjob.log
calls remain.backend/services/db-importer-worker/src/processors/RdbExportRequestRDBMergeProcessor.ts (1)
15-15
: Use default logger for job processing messagesStandardizing on
logger.debug
instead ofjob.log
ensures consistency; double-check that the injected logger is correctly configured for these processors.backend/services/db-importer-worker/src/processors/RdbImportValidateImportKeyNumberProcessor.ts (1)
19-19
: Use default logger for job processing messagesConverting
job.log()
calls tologger.debug()
centralizes logging; confirm that the container provides the properlogger
instance and thatjob.log
is no longer used.
return RDBTask.cast(task, { | ||
stripUnknown: true, | ||
}) as RDBTaskType; |
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💡 Verification agent
🧩 Analysis chain
Critical: Validation behavior change may compromise data integrity.
The switch from RDBTask.validateSync
to RDBTask.cast
introduces a significant behavioral change that could compromise data integrity:
validateSync
would throw validation errors for invalid data, ensuring only valid tasks are processedcast
performs type coercion but doesn't enforce validation rules, potentially allowing invalid data to pass through
Given that the RDBTask schema (from backend/services/db-importer-worker/src/schemas/rdb-task.ts
) is marked as .strict().noUnknown().required()
, this change removes critical validation safeguards.
Recommended approaches:
- Revert to validation with proper error handling:
-return RDBTask.cast(task, {
- stripUnknown: true,
-}) as RDBTaskType;
+try {
+ return RDBTask.validateSync(task, {
+ stripUnknown: true,
+ strict: true
+ }) as RDBTaskType;
+} catch (error) {
+ this._options.logger.error({ taskId, error }, 'Task validation failed');
+ throw error;
+}
- Or use
validate
(async) if you need to handle validation errors gracefully:
-return RDBTask.cast(task, {
- stripUnknown: true,
-}) as RDBTaskType;
+try {
+ return await RDBTask.validate(task, {
+ stripUnknown: true,
+ strict: true
+ }) as RDBTaskType;
+} catch (error) {
+ this._options.logger.error({ taskId, error }, 'Task validation failed');
+ return null; // or handle as appropriate
+}
Verify the impact of this change by checking if there are error handling mechanisms downstream:
🏁 Script executed:
#!/bin/bash
# Description: Check for error handling of invalid task data downstream
# Expected: Find places where task properties are accessed that might fail with invalid data
echo "Searching for task property access patterns that might fail with invalid data..."
rg -A 3 -B 1 "\.taskId|\.type|\.status|\.payload|\.output" --type ts
Length of output: 66091
🏁 Script executed:
#!/bin/bash
echo "Finding TasksDBMongoRepository.ts files..."
fd -e ts TasksDBMongoRepository.ts
Length of output: 294
🏁 Script executed:
#!/bin/bash
# Display imports and the RDBTask usage around lines 1-60
sed -n '1,60p' backend/services/db-importer-worker/src/repositories/tasks/TasksDBMongoRepository.ts
Length of output: 1615
Preserve runtime validation in getTaskById
Switching from RDBTask.validateSync
to RDBTask.cast
bypasses Yup’s required‐field and strict schema checks, so malformed or incomplete documents could slip through and cause silent failures or data corruption. There’s no downstream catch for invalid tasks, so we need to restore validation at the repository boundary.
• File: backend/services/db-importer-worker/src/repositories/tasks/TasksDBMongoRepository.ts
Location: return in async getTaskById
(around lines 32–34)
Recommended diff:
- return RDBTask.cast(task, {
- stripUnknown: true,
- }) as RDBTaskType;
+ try {
+ return RDBTask.validateSync(task, {
+ stripUnknown: true,
+ strict: true,
+ }) as RDBTaskType;
+ } catch (error) {
+ this._options.logger.error({ taskId, error }, 'Task validation failed');
+ throw error;
+ }
Or, to use async validation:
- return RDBTask.cast(task, {
- stripUnknown: true,
- }) as RDBTaskType;
+ try {
+ return await RDBTask.validate(task, {
+ stripUnknown: true,
+ strict: true,
+ }) as RDBTaskType;
+ } catch (error) {
+ this._options.logger.error({ taskId, error }, 'Task validation failed');
+ throw error;
+ }
📝 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.
return RDBTask.cast(task, { | |
stripUnknown: true, | |
}) as RDBTaskType; | |
try { | |
return RDBTask.validateSync(task, { | |
stripUnknown: true, | |
strict: true, | |
}) as RDBTaskType; | |
} catch (error) { | |
this._options.logger.error({ taskId, error }, 'Task validation failed'); | |
throw error; | |
} |
🤖 Prompt for AI Agents
In
backend/services/db-importer-worker/src/repositories/tasks/TasksDBMongoRepository.ts
around lines 32 to 34, the code currently uses RDBTask.cast which only coerces
types without enforcing validation, risking invalid data passing through. To fix
this, revert to using RDBTask.validateSync or use the async RDBTask.validate
method to perform strict validation according to the schema, ensuring required
fields and no unknown fields are enforced. Also, add proper error handling for
validation failures to prevent silent data corruption and maintain data
integrity at the repository boundary.
cast instead of validate
fix #172
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