What the data for this category looks like
Construction machinery research report data mainly comes from public reports released by the China Construction Machinery Industry Association, official technical documents from original equipment manufacturers, and third-party industry databases. Update cycles are primarily monthly industry dynamic reports and quarterly market analysis reports, supplemented by annual special research reports. The structure of a single document usually includes modules such as complete machine performance parameters, working condition adaptation plans, competitor benchmarking analysis, and market supply and demand data. Core fields include rated power, operating weight, working radius, fuel consumption, etc., with corresponding units of kilowatts (kW), tons (t), meters (m), and liters per hour (L/h). Some research reports also include regional sales distribution statistics.
What constraints do these characteristics impose on HTTP interfaces and external systems
The multi-field and multi-unit characteristics of construction machinery research reports require HTTP interfaces to support custom field mapping, converting original field names and units from external data sources into a unified format before transmission. The monthly/quarterly update cycle requires external systems to configure a reasonable polling interval when connecting, to avoid frequent requests exceeding the current limiting threshold of the data source interface. The feature of long single document length requires HTTP interfaces to support segmented reception or streaming transmission, while adjusting the timeout threshold to adapt to long document parsing. The demand for multi-source data aggregation requires interfaces to support batch configuration and priority sorting of multiple data source addresses, to ensure that core industry data is loaded first.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Construction machinery research reports have a long length, and the conventional parsing duration exceeds the default value. Extending the timeout period avoids parsing interruptions |
embedding_batch_size | 10–20 entries | Construction machinery research reports have many fields and complex units. Processing in small batches reduces the probability of errors in embedding model calls |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single annual special research reports may contain a large number of charts and parameter tables, requiring adaptation to large file upload requirements |
recall_top_k | 8–12 entries | The professional fields of construction machinery research reports have strong relevance. An appropriate number of recalls can cover core parameters and market data |
api_request_timeout | 120 seconds | The response of external data source interfaces may be affected by data volume. Extending the timeout avoids normal requests being incorrectly judged as failed |
field_mapping_rule | Match units according to the original field names of the data source and then convert | The unit system of construction machinery research reports is unified, but naming varies across data sources, requiring custom mapping rules |
The parameter values provided on this page are 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, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: When calling an external multimodal model, device parameter charts in the research report cannot be processed, and the returned text only contains parameter text. Cause: The full-modal data transmission configuration of the interface is not enabled, and only text content is transmitted, resulting in loss of chart information.
- Symptom: After importing the OneAPI address and key, calling the embedding model returns
500 Internal Server Error. Cause: The correct embedding model interface path is not set, or the request body does not carry specific field parameters for construction machinery research reports. - Symptom: After connecting to the official account, the research report retrieval request cannot be triggered, and there is no corresponding request log in the background. Cause: The HTTP callback address of the official account is not configured to match the FastGPT webhook port, resulting in failed normal request forwarding.
How to confirm the configuration is complete
- Initiate a single research report file upload request, check that the parsing status code returned by the interface is
200 OK, and confirm that the timeout configuration takes effect. - Call the embedding model interface, pass a single construction machinery parameter field, check that the returned vector data is not empty, and confirm that the field mapping rule is correct.
- Configure the callback address of the external system, initiate a test request, check that the corresponding request record exists in the FastGPT background log, and confirm that the interface connectivity is normal.
- Initiate a retrieval request, verify that the returned results include exclusive fields for construction machinery such as rated power and working radius, and confirm that the recall rule adapts to the category characteristics.
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.