HTTP Interfaces and External Systems for Small Home

What the data for this category looks like

Small home appliance smart due diligence report data primarily comes from brand official specification documents, e-commerce platform product parameter pages, and compliance test reports from national quality inspection institutions. Updates do not follow a fixed schedule. They trigger when new products launch or compliance standards are adjusted. The document structure of a single report includes basic attribute fields, compliance certification fields, and batch information. The rated power unit is watts (W), product dimension unit is millimeters (mm), energy efficiency grades use a 1 to 3 level identification system, and SKU codes are 12-character strings.

What constraints these characteristics impose on HTTP Interfaces and External Systems

Small home appliance due diligence report fields include mandatory compliance items. HTTP interfaces must validate the presence and format of required fields. Bulk data for multiple SKUs can result in large single request payloads. Interfaces must support batch uploads and incremental synchronization. Some reports include product image attachments. Interfaces must support upload and parsing of multiple file types. Fields have clear attached units. Interfaces must support field mapping to unify field names between external systems and FastGPT, to avoid parsing errors caused by unit mismatches.

How to set configurations

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`200 MB`	Small home appliance due diligence reports include product specifications and real-shot images, and single files typically do not exceed 200 MB
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Small home appliance compliance documents include multi-page tables and parameter descriptions, resulting in longer parsing times
`API_BATCH_SIZE`	`50 items/request`	Small home appliances have a large number of SKUs; batch requests reduce the probability of interface timeouts
`FIELD_MAPPING_STRICT`	Enabled	Small home appliance fields require strict matching of units and compliance identifiers; strict mapping avoids data errors
`SYNC_INCREMENTAL_ENABLE`	Enabled	Small home appliance updates do not follow a fixed schedule; incremental synchronization reduces resource consumption from repeated requests
`ERROR_RETRY_TIMES`	`3 retries`	External interfaces may experience occasional fluctuations; limited retries lower the rate of data synchronization failures

The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are influenced by material format, data volume, and business rules. Specific issues require analysis on a case-by-case basis. Testing against local samples before finalizing settings is recommended.

Three common mistakes

Calling the create_file_collection interface to upload a CSV file returns 400 Bad Request with the prompt "invalid file format". This occurs because the request header Content-Type is not correctly set to multipart/form-data, and the CSV file is submitted in application/json format instead.
After configuring a custom OPENAI_API_TOKEN, knowledge base search and question optimization still incur additional charges. This happens because the request header does not carry X-API-Key set to the custom token, and the platform default token is still used for calls.
After connecting an external system, the "rated power" field in returned due diligence reports is empty. This occurs because field mapping is not enabled in the interface configuration, and the external system's "power" field is not mapped to FastGPT's "rated power" field.

How to confirm configurations are set correctly

Call the upload_file interface to upload a small home appliance specification CSV file, and check if the returned result includes a valid file_id with no error messages.
View interface logs to confirm that after enabling FIELD_MAPPING_STRICT, requests with unmatched fields are intercepted and return clear error messages.
Trigger an incremental synchronization task, and check if only updated small home appliance SKU data is correctly synchronized to the corresponding knowledge base collection.
Call the get_collection_detail interface, and confirm that the returned collection fields include small home appliance-specific fields such as "rated power" and "energy efficiency grade".

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.