HTTP Interfaces and External Systems for Hotel and Catering Intelligent Due Diligence Reports

Data for hotel and catering intelligent due diligence reports originates from four primary sources. These include compliance certificates such as food

What the Data for This Category Looks Like

Data for hotel and catering intelligent due diligence reports originates from four primary sources. These include compliance certificates such as food business licenses and business licenses from market supervision departments, operational data from store POS systems and passenger flow statistics systems, ingredient procurement and inventory ledger data from supply chain management systems, and compliance footage from back kitchen monitoring. Certificate-related data follows a quarterly update cycle. Operational data is updated daily. Supply chain data is updated weekly. The document structure includes four modules: basic information, compliance verification, operational analysis, and supply chain traceability. Fields include license number, average table turnover rate (times/day), average customer spending per person (yuan/person), ingredient loss rate (%), and other items. Some fields include unit identifiers.

Constraints Imposed on HTTP Interfaces and External Systems by These Data Characteristics

Three constraints arise from the above data characteristics for the HTTP interfaces and external systems link. First, compliance certificate data has a fixed update cycle. Support for scheduled pulls and one-time supplementary update triggers is required, to avoid frequent calls to supervision interfaces that trigger rate limits. Second, operational and supply chain data include nested structured detail fields. Interfaces must support JSON format for requests and responses. Field verification rules must also be provided to adapt to naming differences across different stores. Third, some data links local monitoring files and database queries. Interfaces must support file uploads and persistent configuration for database connections. Sufficient timeout periods must be reserved to handle delays from cross-system data aggregation.

Configuration Settings

Configuration ItemRecommended SettingRationale
HTTP_REQUEST_TIMEOUT300 secondsHotel and catering compliance data requires integration with market supervision department interfaces. Some cross-departmental interfaces have high response delays, and default timeout periods are insufficient to cover request cycles
UPLOAD_FILE_MAX_SIZE50 MBFiles such as back kitchen monitoring footage and ingredient traceability reports must be uploaded. The maximum single file size must match the typical size of these files
REQUEST_CONTENT_TYPEapplication/jsonMost APIs for catering supply chain and passenger flow systems use JSON format for structured data transmission. This configuration ensures compatibility with request formats
API_SIGNATURE_ALGORITHMHMAC-SHA256Integration with local market supervision department interfaces requires compliance with unified signature verification requirements. This algorithm is a common configuration for supervision systems
RETRY_TIMES2 timesSome catering store system interfaces experience temporary jitters. Moderate retries reduce request failures caused by non-permanent faults
FIELD_MAPPING_RULECalibrated based on actual testingNaming differences for fields vary widely across catering brands. External interface returned fields must be manually mapped to unified due diligence report fields

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, 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

  • Scenario: Frequent 504 Gateway Timeout errors are returned when calling local food and drug supervision interfaces. Cause: The HTTP_REQUEST_TIMEOUT configuration is not adjusted to match the interface response delay for catering compliance data. Default timeout periods are insufficient to cover cross-departmental interface request cycles.
  • Scenario: Locally deployed Python script interfaces cannot be called by workflow HTTP nodes. Cause: Local ports are not exposed to an accessible network, or firewall rules are not configured to allow inbound traffic on specified ports.
  • Scenario: Database query nodes sometimes return empty results and sometimes return correct inventory data. Cause: No timeout reconnection mechanism is configured for database connections. Real-time data updates from catering systems occupy database connections, leading to failures for some query requests.

How to Confirm Configuration Is Complete

  • Call a simulated catering store API interface, pass preset compliance certificate and operational data, and check if the returned JSON format matches the preset FIELD_MAPPING_RULE.
  • Upload a test monitoring video clip of maximum size, confirm that the file upload is not truncated and no failure prompts appear.
  • Enable workflow node logs, review request signature, timeout, and retry records, and confirm that the API_SIGNATURE_ALGORITHM and RETRY_TIMES configurations take effect.
  • Configure a scheduled pull task, wait one update cycle, and check if the latest operational data is successfully pulled.

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.