What the data for this category looks like
Data sources for brand agency operation intelligent due diligence reports include brand e-commerce backend sales data, social media public opinion data, public data from third-party competitor monitoring tools, and brand offline operation records. The data update rhythm follows: daily synchronization of core sales metrics, weekly release of periodic operation weekly reports, and monthly generation of full due diligence reports. The document structure is fixed into six modules: basic brand information, sales performance analysis, public opinion monitoring, competitor comparison, compliance risks, and optimization suggestions. Fields include GMV (unit: ten thousand yuan), public opinion mentions (unit: count), compliance violation times (unit: count), agency service cycle (unit: month), and others. Some custom fields need to be adapted to the needs of different brand clients.
Constraints on Deployment and Upgrade
Multi-source data access requirements mandate configuring cross-platform data pull permissions and format adaptation rules during deployment. Daily and weekly update rhythms require configuring precise scheduled synchronization tasks to avoid data lag or repeated pulls. Long document and multi-attachment report structures require adjusting timeout settings for large file processing and parsing. Custom field adaptation requirements mandate reserving a configuration entry for field mapping during deployment, and ensuring compatibility with different customer field differences during upgrades. Reports for brand agency operations must support both internal use and client delivery. Configure relevant parameters for dual-format export during deployment.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Monthly due diligence reports usually include multiple attachments, and a single report file can reach about 1.5 GB in size |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Long document parsing needs to process a large number of tables and public opinion data to avoid timeout interruptions |
DATA_SYNC_INTERVAL | 86400 seconds | Sales data needs to be updated daily to ensure the timeliness of report data |
MAX_CONTEXT_LENGTH | 120000 characters | The main body of a due diligence report usually contains 80,000 to 120,000 words of analysis content, which needs to adapt to long text processing |
CUSTOM_FIELD_MAPPING_ENABLE | Enabled | Report fields vary across different brand agency clients, so custom field mapping needs to be supported |
REPORT_EXPORT_FORMAT | docx + pdf | Brand agency clients usually require two report formats for internal reporting and client delivery |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- An error
failed to solve: failed to computoccurs when executingdocker build. The cause is that the data source configuration directory for brand agency operations is not correctly mounted, resulting in the inability to read preset field mapping rule files during construction. - A
413 Request Entity Too Largestatus code appears when processing due diligence reports after deployment. The cause is that theUPLOAD_FILE_MAX_SIZEparameter is not adjusted, causing large files exceeding the default limit to fail to upload. - Slow operation after local deployment. The cause is that long text batch processing optimization is not enabled, and local cache is not configured to speed up multi-source data pulling.
How to Verify Successful Configuration
- Upload a simulated monthly due diligence report file, check that the upload progress bar completes normally with no interruption prompts.
- Execute a manual data synchronization task, verify that the synchronized sales data fields match the format exported from the brand backend.
- Trigger a report export task, confirm that the generated docx and pdf files include all configured custom fields.
- Check system logs, confirm that scheduled synchronization tasks run automatically at the configured interval with no error records.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.