Data Import Export Blueprint

Bulk data import and export supporting CSV, Excel, and JSON formats with column mapping, row validation, background processing, and configurable error handling

   
Feature data-import-export
Category Data
Version 1.0.0
Tags import, export, csv, excel, json, bulk-data, etl, background-processing
YAML Source View on GitHub
JSON API data-import-export.json

Fields

Name Type Required Label Description
file file Yes Import File Validations: max
format select Yes File Format  
mapping json No Column-to-Field Mapping  
on_error select No Error Handling Strategy  
status select Yes Job Status  
error_log json No Error Log  
row_count number No Total Row Count  
success_count number No Successfully Processed Rows  
failure_count number No Failed Rows  
export_format select No Export Format  
export_filters json No Export Filters  
download_url url No Export Download URL  

Rules

  • import:
    • max_file_size_bytes: 52428800
    • max_rows: 100000
    • background_threshold_rows: 1000
    • validate_before_insert: true
    • duplicate_detection: configurable
    • supported_encodings: utf-8, utf-16, latin-1
  • column_mapping:
    • auto_detect: true
    • case_insensitive: true
    • unmapped_columns: ignore
  • export:
    • max_records: 500000
    • streaming: true
    • download_url_expiry_hours: 24
  • error_handling:
    • skip_mode: log_and_continue
    • fail_mode: abort_and_rollback
    • error_log_max_entries: 10000

Outcomes

Import_completed (Priority: 1)

Given:

  • a valid import file is uploaded
  • all rows pass validation

Then:

  • set_field target: status value: completed
  • set_field target: success_count — Set to total row count
  • emit_event event: import.completed

Result: All rows imported successfully; status set to completed

Import_partial (Priority: 2)

Given:

  • a valid import file is uploaded
  • some rows fail validation
  • on_error strategy is ‘skip’

Then:

  • set_field target: status value: partial
  • set_field target: error_log — Populate with details of each failed row
  • emit_event event: import.completed

Result: Valid rows imported; failed rows logged in error_log; status set to partial

Import_failed (Priority: 3) — Error: IMPORT_FAILED

Given:

  • ANY: the file is corrupted or in an unsupported format OR a row fails validation and on_error strategy is ‘fail’

Then:

  • set_field target: status value: failed
  • set_field target: error_log — Populate with failure details
  • emit_event event: import.failed

Result: Import aborted; all changes rolled back; error details provided

Export_completed (Priority: 4)

Given:

  • an export request is submitted with valid parameters
  • records matching the filters exist

Then:

  • set_field target: download_url — Generate signed download URL for the exported file
  • emit_event event: export.completed

Result: Export file generated and download URL returned

Import_file_too_large (Priority: 10) — Error: IMPORT_FILE_TOO_LARGE

Given:

  • file (input) gt 52428800

Result: Error returned indicating file size limit

Errors

Code Status Message Retry
IMPORT_FAILED 422 Import failed; check error log for details No
IMPORT_FILE_TOO_LARGE 413 Import file exceeds the maximum allowed size of 50 MB No
IMPORT_INVALID_FORMAT 400 File format is not supported or file is corrupted No
IMPORT_MAPPING_INVALID 400 Column mapping references fields that do not exist No
EXPORT_NO_RECORDS 404 No records match the export filters No

Events

Event Description Payload
import.started An import job has been created and is queued for processing job_id, format, file_size_bytes, row_count
import.completed An import job finished processing (fully or partially) job_id, format, row_count, success_count, failure_count
import.failed An import job failed and was rolled back job_id, format, error_summary
export.completed An export job finished and the file is ready for download job_id, format, record_count, file_size_bytes
Feature Relationship Reason
file-storage required Import files and export outputs are stored in cloud storage
pagination optional Export may paginate through large datasets during generation
audit-trail recommended Import and export operations should be recorded for compliance

AGI Readiness

Goals

Reliable Data Import Export

Bulk data import and export supporting CSV, Excel, and JSON formats with column mapping, row validation, background processing, and configurable error handling

Success Metrics:

Metric Target Measurement
data_accuracy 100% Records matching source of truth
duplicate_rate 0% Duplicate records detected post-creation

Constraints:

  • performance (non-negotiable): Data consistency must be maintained across concurrent operations

Autonomy

Level: supervised

Escalation Triggers:

  • error_rate > 5

Tradeoffs

Prefer Over Reason
data_integrity performance data consistency must be maintained across all operations

Coordination

Protocol: request_response

Consumes:

Capability From Fallback
file_storage file-storage degrade

Safety

Action Permission Cooldown Max Auto
import_completed autonomous - -
import_partial autonomous - -
import_failed autonomous - -
export_completed autonomous - -
import_file_too_large autonomous - -