What the data for this category looks like
Duty-free industry financial report data sources include publicly disclosed annual/quarterly enterprise reports, operational data submitted by the off-shore duty-free supervision platform, and transaction data from offline store POS systems. Data update cadence falls into three categories: monthly store operational data is updated weekly, quarterly financial reports are updated quarterly, and annual reports are updated per calendar year. Document structures include core fields such as store ID, number of off-shore passengers, per capita consumption amount, brand revenue amount, policy compliance audit status, and subsidy application amount. Data units include person-times, yuan, and enumerated values. No percentage-based statistical items are included.
What constraints do these characteristics impose on deployment and upgrade
Multi-source data access requires configuring format conversion and mapping rules for multiple data sources during deployment, to avoid parsing failures caused by mismatched data fields. Data sources with different update frequencies require adjusting RAG incremental sync strategies during upgrade, to ensure high-frequency operational data is updated timely and low-frequency financial report data does not occupy excessive computing resources. Fields involve policy compliance-related content, so desensitization rules for sensitive fields must be configured during deployment, and compatibility of desensitization rules must be retained during upgrade to avoid compliance risks. Long document parsing requires reserving sufficient timeout and segmentation parameters during deployment, to prevent parsing interruptions from affecting task progress.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Duty-free financial report single files (annual reports) typically do not exceed 1500 MB; reserve buffer space to accommodate compliance attachments |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Long financial report documents take longer to parse; avoid triggering timeout interruptions mid-process |
RAG_RECALL_TOP_N | Top 8 entries | Financial report fields have high correlation; excessive recall increases context pressure, while insufficient recall loses critical business information |
S3_UPLOAD_CHUNK_SIZE | 50 MB | Adapts to chunk upload limits of most cloud service providers, improving stability of large file uploads |
MCP_PROTOCOL | stdio | Initial deployment avoids SSE protocol compatibility issues in early versions; can be adjusted as needed after upgrade |
DATASET_INCREMENTAL_SYNC_INTERVAL | 1 hour | Adapts to the weekly update cadence of monthly operational data, balancing update frequency and computing resource usage |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require on-site analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After upgrading to version 4.14.3, uploading RAG files using S3 storage fails. The interface prompts signature error or connection timeout. Cause: Failed to synchronize updated S3 access key configuration during upgrade, or default chunk upload parameters were reset.
- Issue: In version 4.9.6, MCP services wrapped with SSE protocol prompt "Currently only stdio processes are supported" when called. Cause: SSE protocol support for MCP was incomplete in this version of FastGPT. Switch the protocol or upgrade the version.
- Issue: After upgrading to a new version, uploading files and text datasets fails, but template import functions normally. Cause: Failed to update the interface path configuration for dataset uploads, or default upload interface permissions were tightened after the upgrade.
How to confirm configuration is complete
- Upload a standard duty-free store monthly financial report document, check if parsed fields match preset extraction rules.
- Call the MCP service test interface, confirm there are no protocol unsupported errors, and returned results meet business expectations.
- View upload logs in the S3 bucket, confirm all chunk upload requests return normal status codes with no abnormal interruptions.
- Trigger an incremental update task, check if the updated dataset includes the latest operational data.
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.