HTTP Interfaces and External Systems for Hotel and Catering

What This Category of Data Looks Like

Primary sources of hotel and catering industry revenue yield and market trend daily report data are in-store POS cash registers, table management systems, and revenue report modules. Data is generated per natural day. Full daily reports are output within one hour after daily business closes.

Each report document includes fields such as store code, statistical date, lunch revenue, dinner revenue, total guest count, average guest spending, and total available tables. Field units are as follows: store code has no unit, statistical date uses the YYYY-MM-DD format, revenue fields use yuan, guest count fields use person-times, average guest spending uses yuan per guest, and total available tables use units of count. Data is only synced in daily batches, with no high-frequency real-time update requirements.

Constraints Imposed on HTTP Interfaces and External Systems by These Characteristics

The multi-source heterogeneous nature of hotel and catering revenue data requires HTTP interfaces to support cross-system data association and pulling. Interfaces must connect to both POS and table management systems to obtain complete revenue and table data. The daily-only sync update rhythm requires interfaces to support scheduled triggering, with no need for high-frequency polling. Dedicated table and time-period revenue fields require interfaces to support custom field mapping and filtering, to avoid returning irrelevant data. Core fields such as store code and statistical date require consistency, so interfaces must support data integrity checks to filter invalid or incorrectly formatted entries.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`syncTriggerType`	`Scheduled Trigger`	Matches the daily update rhythm of hotel and catering revenue yield daily reports, avoids invalid high-frequency calls, and aligns with scheduled data sync requirements in financial scenarios
`fieldMappingList`	`store_id: Store Code, stat_date: Statistical Date, lunch_rev: Lunch Session Revenue, dinner_rev: Dinner Session Revenue, total_guests: Total Guests, avg_guest_price: Average Guest Unit Price, total_tables: Total Available Tables`	Matches standard fields in hotel and catering revenue reports, enables precise mapping between external system data and FastGPT knowledge base
`dataSyncTimeout`	`600 seconds`	Allows sufficient time to pull and merge data across POS and table management systems, prevents sync failures due to system response delays
`retryPolicy`	`Retry 3 times, 300-second interval`	Adapts to peak delays from POS systems batch exporting data after business closes, avoids triggering system rate limits with short retries
`fieldRequiredList`	`Store Code, Statistical Date`	Ensures daily synced daily reports include core identification fields, prevents invalid data imports
`responseFieldFilter`	`Only return revenue and guest count related fields`	Reduces the volume of interface returned data, improves sync efficiency, and focuses on core data required for revenue yield calculations

The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

Symptom: Calling an external data sync interface returns a 200 OK status code, but the knowledge base does not import valid revenue data. Cause: The fieldRequiredList core field check is not configured. Empty 门店编码 fields returned by the external system cause data to be filtered, so valid imports cannot be completed.
Symptom: An error Failed to connect to jyfkk:1433 is thrown when configuring an MSSQL database connection. Cause: Outbound access permissions for the corresponding port are not enabled, and the correct database instance name is not specified in the connection string. This causes connection requests to be blocked.
Symptom: Retrieving revenue yield data via the interface does not return associated knowledge base reference identifiers. Cause: The reference_id field is not configured in fieldMappingList. This prevents the interface from returning associated information for the corresponding knowledge base, so imported revenue data entries cannot be matched.

How to Confirm Proper Configuration

Trigger a scheduled sync task, check the FastGPT backend sync logs. Confirm the sync status is successful, with no field check failure records.
Call the data pull interface, verify that the returned JSON data includes the fields mapped in the configured fieldMappingList. Core fields such as 门店编码 and 统计日期 have no empty values.
Configure a knowledge base retrieval interface, verify that the returned results include the reference_id field, and can match imported revenue data entries.
Run a database connection test, confirm that a connection successful prompt is returned. Corresponding ports and access permission configurations meet requirements.

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.