What the data for this category looks like
Tourist attraction revenue yield-related data is primarily sourced from internal ticketing POS systems, passenger access control systems, and financial reconciliation interfaces. Data follows a T+1 update cycle: statistical results for the previous day are generated after the park closes each day, and are available for external access early the following morning. The data is delivered in a structured format, including fields such as statistical date, attraction code, attraction name, daily visitor count, ticket revenue, non-ticket revenue, and total revenue. Visitor count is measured in people, revenue-related fields are measured in yuan, and the derived per-visitor revenue metric is measured in yuan per visitor. No percentage-based statistical fields are included.
What constraints these characteristics impose on HTTP interfaces and external systems
Since attraction data updates on a T+1 basis, HTTP request frequency should not be excessive, to avoid triggering rate limiting rules from the data source systems. Data contains sensitive information about attraction operations, so interfaces must be configured with strict authentication and transmission encryption mechanisms to prevent unauthorized access. Some revenue data may include refunds or supplementary entries, so interfaces must support pulling full data again by statistical date, and return fields must include the data update timestamp. Additionally, per-visitor revenue is a derived calculated field; interfaces typically only return original statistical fields, so external systems must implement the calculation logic independently. HTTP response parsing must therefore support structured field extraction.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
WORKFLOW_HTTP_NODE_TIMEOUT | 600 seconds | Attraction data pulling requires waiting for financial system reconciliation to complete; 600 seconds covers the standard reconciliation cycle, and aligns with the workflow execution limit of FastGPT 4.14.4 |
API_AUTH_TYPE | API_KEY | Attraction operational data is sensitive; API_KEY authentication effectively restricts unauthorized access |
RECALL_TOP_N | Top 3 entries | Knowledge base content related to tourist attraction revenue yield typically has a small number of entries; excessive recall will introduce irrelevant information |
HTTP_RESPONSE_PARSE_MODE | JSON_STRICT | Attraction data interfaces return structured JSON format; strict parsing avoids parsing failures caused by format errors |
MAX_WORKFLOW_EXECUTION_DURATION | 900 seconds | Cross-system processes for pulling attraction data and completing processing may take a long time; this setting prevents mid-process timeout interruptions |
FILE_UPLOAD_SIZE_LIMIT | 50 MB | Monthly revenue reports exported by tourist attractions typically do not exceed 50 MB, which fits the standard file size range |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: The debug page returns knowledge base matching results, but no matching content is returned via API calls. Cause: Correct knowledge base permission parameters are not included in the API request, or the API key is not bound to the corresponding knowledge base permissions.
- Phenomenon: The HTTP request node returns a
413 Request Entity Too Largeerror. Cause: The uploaded attraction revenue report file size exceeds the threshold set by theFILE_UPLOAD_SIZE_LIMITconfiguration. - Phenomenon: The platform cannot be accessed via
https://ip:3000during local deployment. Cause: An SSL certificate has not been configured, or external network access permission for port 3000 has not been enabled, for the local deployment scenario of FastGPT 4.14.4.
How to confirm configurations are correct
- Copy the test question from the debug page, send a request via the official API interface, and compare whether the two returned knowledge base matching results are consistent.
- Upload a test file of standard size for attraction reports, submit it via the workflow's HTTP request node, and check whether the file is properly received and processed.
- Access the local deployment service address to confirm that the port is open and the service has started normally.
- Send a test request to pull attraction data from the previous day, and verify that the interface response duration meets business expectations.
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.