HTTP Interfaces and External Systems for Commercial Vehicle

What the data for this category looks like

Commercial vehicle research report data is sourced from domestic commercial vehicle industry associations, public vehicle manufacturer announcements, and segmented research documents from professional consulting institutions. Updates follow monthly and quarterly schedules, with temporary supplementary content released alongside industry policy adjustments. Document structures include core operational data, policy interpretations, upstream and downstream industrial chain analysis, and market outlook modules. Fields include vehicle category, regional distribution, sales volume figures, and policy document numbers. Units are uniformly vehicles, regional codes, and document number identifiers. No percentage-based annotations are used.

What constraints these characteristics impose on HTTP Interfaces and External Systems

Commercial vehicle research report documents vary widely in length, with long documents reaching dozens of pages. HTTP interfaces must support large file chunked upload and long text segmented parsing to avoid timeouts caused by excessive content. Fields such as vehicle category and regional distribution follow fixed enumeration rules. Interfaces must support filtering retrieval results by specified enumeration values to reduce field mapping costs for external systems. Monthly and quarterly periodic updates, plus sudden updates for temporary policy reports, require scheduled pull interfaces connected to external systems to support flexible update cycle configuration. Real-time push endpoints must also be provided to adapt to emergency content synchronization. Some documents contain embedded table data. Interfaces must enable structured parsing mode to prevent table content from being split randomly.

How to Configure Settings

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`2000 MB`	Commercial vehicle research reports are mostly multi-page PDF documents, some with lengthy content, requiring adaptation to large file upload requirements
`PARSE_FILE_TIMEOUT_SECONDS`	`1200 seconds`	Long document parsing takes significant time, avoiding parsing interruptions caused by default timeout limits
`chunkSize`	`1000–1500 characters`	Commercial vehicle research reports include long paragraphs of industrial chain analysis; a moderate segment length preserves contextual relevance
`retrievalTopN`	`Top 8 entries`	Research report content is highly specialized, requiring recall of sufficiently relevant fragments while avoiding redundant results
`ENABLE_TABLE_EXTRACT`	`Enabled`	Commercial vehicle research reports contain large volumes of structured sales and regional distribution tables; enabling this preserves data integrity
`SYNC_INTERVAL`	`86400 seconds`	Regular research report update cycles are monthly; daily synchronization covers temporarily released policy supplementary content

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

Three Common Configuration Mistakes

Phenomenon: Commercial vehicle research report files uploaded via the createDatasetCollection API have shifted segmented content compared to the same file uploaded directly via the platform frontend. Cause: The chunkOverlap parameter was not explicitly specified during API upload, and the default segment overlap value used does not match the manually configured parameters from frontend uploads.
Phenomenon: Two consecutive conversation requests are sent, and the second request must wait for the first to complete generation before responding. There is no way to interrupt an ongoing generation process via the API. Cause: The stream response mode was not enabled, and the cancel_previous_request parameter was not configured. The default queue execution logic processes requests in sequence.
Phenomenon: After upgrading to version v4.9, calls to research report-related APIs return a 404 Not Found error. Cause: Version v4.9 adjusted the routing paths for the OpenAPI module. The updated endpoint prefix must be used.

How to Confirm Configurations Are Correct

Upload a standard commercial vehicle research report file, view the segmented records after uploading via the API, and verify that the segment length matches the configured chunkSize.
Initiate two consecutive conversation requests, verify that the second request can interrupt the previous generation process, and confirm that the cancel_previous_request parameter is configured correctly.
Upload a research report file containing embedded tables, search for keywords related to tables, verify that the returned results contain complete structured table data, and confirm that the table parsing configuration is active.
Call the /v1/chat/completions API, verify that the returned response format complies with the OpenAPI specification for the current version, and confirm that version adaptation is correct.
Call the file upload interface, upload a large-volume research report file, verify that no timeout or size limit errors occur, and confirm that the UPLOAD_FILE_MAX_SIZE configuration adapts to current file 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.