HTTP Interfaces and External Systems for Smart Due Diligence

What the data for this category looks like

Smart due diligence report data for tourist attractions mainly comes from internal ticketing, passenger flow, and operation and maintenance systems of the scenic spot, filing and supervision platforms of cultural and tourism authorities, and structured on-site investigation records.

Data update rhythm has multiple tiers: operational data such as passenger flow and revenue is updated daily. Equipment maintenance and safety inspection data is synced in real time. Qualification and compliance filing data for the scenic spot is updated quarterly or annually.

The document structure is divided into three modules: qualification, operation, and compliance. Fields include maximum instantaneous carrying capacity (unit: person-times/hour), annual tourist reception volume (unit: person-times), equipment annual inspection validity period (date format), geographic coordinates (WGS84 latitude and longitude format), and others. A complete single report covers all lifecycle operation and compliance requirements for the scenic spot.

What constraints these characteristics impose on HTTP interfaces and external systems

The tiered update schedule of due diligence data requires HTTP interfaces to support multiple call frequencies. Real-time passenger flow and operation and maintenance data must adapt to high-frequency polling. Batch qualification and filing data must support resumable batch requests.

Multi-dimensional structured fields require interface requests to strictly validate field formats and units. This avoids parsing failures caused by abnormal values or unit mismatches.

Compliance data for scenic spots involves sensitive information such as safety and qualifications. External system connections must carry exclusive authentication parameters. Interface returns must also desensitize sensitive fields.

A single report has a large number of fields, resulting in a large amount of data returned in a single interface. Reasonable request sharding rules must be configured to avoid exceeding server load limits for a single request.

How to set the configurations

Configuration Item	Recommended Value	Rationale
`HTTP_REQUEST_TIMEOUT`	`300 seconds`	A single interface return for scenic spot due diligence data contains multi-dimensional ledgers. An overly short timeout setting will cause data pulling failures
`UPLOAD_CERT_PATH`	`/etc/fastgpt/certs/scenic_cert.pem`	External interfaces connected to scenic spots mostly use exclusive HTTPS domain names. Mounting exclusive certificates avoids domain name verification failures with generic certificates
`RECALL_TOP_K`	`Top 8 entries`	Smart due diligence reports for scenic spots need to cover qualification, operation, and compliance data. Too many recalled entries will increase context redundancy, while too few will miss key compliance indicators
`SIMILARITY_THRESHOLD`	`0.75–0.85`	Scenic spot operation data is mostly structured numerical values. The similarity threshold needs to be higher than general scenarios to avoid recalling irrelevant data
`MAX_BATCH_SIZE`	`50 entries per request`	The batch pulling of scenic spot passenger flow data has a large data volume per request. An overly large batch will cause interface response timeouts
`API_RESPONSE_STRICT_MODE`	`Enabled`	Scenic spot due diligence data has strict field format requirements. Enabling this mode automatically verifies the field integrity and format correctness of returned data

The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three common errors

Symptom: An SSL_ERROR_SYSCALL error occurs when starting the HTTP interface node, and an HTTPS connection cannot be established. Cause: The certificate mounting path is not correctly configured in docker-compose.yml, causing the container to fail to read the exclusive HTTPS certificate for the scenic spot.
Symptom: b.md under dir1 in the API knowledge base displays in the upper-level folder, and the document path returned by the interface does not match the actual storage path. Cause: The root path of the subdirectory is not specified in the knowledge base import configuration, resulting in incorrect path parsing of file metadata.
Symptom: Scenic spot passenger flow-related data can be recalled on the debugging page, but some questions cannot recall results after being shared as an API. Cause: The API call does not carry the same context parameters as the debugging page, or the permission scope of the API key is not correctly configured, resulting in restricted access to some knowledge base permissions.

How to confirm the configuration is complete

Send a test HTTP request to pull scenic spot passenger flow data, and check whether the returned fields include exclusive fields such as maximum instantaneous carrying capacity and annual tourist reception volume, and whether the units meet preset requirements.
Call the knowledge base recall interface, pass in scenic spot compliance-related keywords, and check whether the returned results include documents related to safety filing and equipment annual inspection, and whether the paths are displayed correctly.
Adjust the HTTP_REQUEST_TIMEOUT parameter to 10 seconds, simulate high-traffic requests, and confirm that no timeout errors occur in the interface.
Verify the API key permission configuration, and confirm that all knowledge bases and data source interfaces related to scenic spot due diligence can be accessed.

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.