What Data Looks Like for This Category
Financial report data for hotel and catering comes primarily from store POS systems, supply chain management platforms, and monthly operational ledgers. Update frequency is daily per store, and weekly or monthly for regional and group levels. Individual documents include fields such as store ID, business hours, revenue breakdown, ingredient procurement costs, labor costs, and table turnover rate. Units include yuan, person-times, percentage, square meters, and others. Some documents also include ledgers tracking revenue impact from seasonal promotional activities.
Constraints Imposed on Workflow Orchestration
Daily store-level data requires workflows to include scheduled batch processing nodes to avoid delays from single-data processing. The multi-field document structure with mixed units requires a standardized field mapping node at the start of the workflow, to unify units and metrics for revenue and cost data. Regional or group-level summary data needs to link multiple store details, so workflows must support cross-document association and splicing. Workflows must also include reserved data validation nodes to filter abnormal table turnover rate and customer unit price values.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Hotel and catering financial reports include multiple store details and multi-category cost items, so parsing takes longer than general documents |
UPLOAD_FILE_MAX_SIZE | 200 MB | Group-level summary financial reports may integrate monthly ledgers from multiple stores, resulting in larger single-file size |
Recall Count | Top 8 entries | Financial report analysis focuses on core revenue and cost fields, so prioritize recalling highly matched structured content |
Similarity Threshold | 0.75–0.85 | Most financial report fields use standardized terminology, so filter low-match non-business related content |
maxContext | 12,000 characters | Financial report generation requires linking historical same-period data and procurement ledgers, so sufficient context length must be retained |
WORKFLOW_TRIGGER_MODE | Scheduled trigger | Hotel and catering financial reports update on fixed daily or weekly cycles, so real-time triggering is unnecessary |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Errors
- Phenomenon: The workflow returns a
413 Request Entity Too Largeerror after execution. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted, and the uploaded group-level financial report file exceeds the default single-file size limit. - Phenomenon: The knowledge base search node works normally during debugging, but the final generated financial report analysis does not reference knowledge base content. Cause: The knowledge base recall node was not configured as a pre-execution link in the workflow, and the conversation link was not associated with the configured financial report knowledge base.
- Phenomenon: When processing multiple store financial reports in batch, the table turnover rate field is empty for some stores. Cause: The standardized field mapping node was not configured. The field is named "occupancy rate" in some store ledgers, and unified mapping was not completed.
How to Confirm Proper Configuration
- Upload a single store-level financial report document, and verify that parsed fields match preset mapping rules.
- Trigger the workflow once, view the execution log, and confirm that the number of entries returned by the knowledge base recall node meets configuration requirements.
- Upload a group-level financial report file that meets the configured size limit, and confirm no errors occur during upload and parsing.
- Simulate documents with different field names, and check if the workflow’s field mapping link completes unified conversion.
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.