HTTP Interfaces and External Systems for Snack Food

What the Data for This Category Looks Like

Data for snack food intelligent due diligence reports comes from three primary channels: SKU ledgers and batch test reports provided by suppliers, public API filing information from local market supervision departments, and terminal retail sales data. Update frequencies fall into three categories: SKU basic data syncs weekly, batch test reports update in real time with production batches, and compliance filing information updates quarterly. Document structures include structured fields and unstructured attachments. Structured fields include batch number, raw material origin, total microbial count, shelf life, purchase price, and others. Unstructured attachments are sealed test report PDFs or DOCX files. Field units must strictly follow food industry standards. For example, total microbial count uses CFU/g, shelf life uses days, and purchase price uses yuan per kilogram.

What Constraints These Characteristics Impose on HTTP Interfaces and External Systems

The data characteristics of snack food due diligence reports impose multiple constraints on interface integration: First, multi-channel data sources require connections to multiple external HTTP interfaces, including market supervision filing APIs, supplier ERP interfaces, and retail data platform interfaces. Independent authentication and permission parameters must be configured for each interface. Second, update cycles vary widely across data sources. Differentiated polling intervals must be set for different interfaces. For example, the real-time test report interface uses a 15-minute polling cycle, while the filing information interface uses a weekly polling interval. Third, documents include structured fields and unstructured attachments. Interfaces must support both structured data transmission and file uploads. Fourth, fields carry industry-specific units. Interface return data must retain or convert to standard units to avoid parsing failures caused by format mismatches.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Snack food due diligence reports often include multiple batch test files, with individual files exceeding 200 MB. A 300-second timeout setting prevents interruptions during long file parsing
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	A single due diligence report may include test attachments for multiple SKUs. A 500 MB upper limit supports batch file upload requirements
`HTTP_REQUEST_RETRY_TIMES`	`3 retries`	External interfaces may experience temporary fluctuations. 3 retries reduce the rate of call failures caused by network jitter
`CONTENT_FIELD_MAPPING`	`{"批次编号":"batch_no","菌落总数":"colony_count","保质期":"shelf_life"}`	Raw fields returned by external interfaces must be mapped to standardized fields recognizable by the FastGPT knowledge base to match the fixed data structure of due diligence reports
`API_SIGNATURE_REQUIRED`	`Enabled`	When connecting compliance interfaces such as market supervision APIs, enabling signature verification ensures data transmission security and legality
`RESPONSE_FORMAT_VALIDATION`	`Enabled`	Snack food fields have dedicated units. Enabling format validation ensures interface return data conforms to food industry standard formats

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

Three Common Configuration Mistakes

Calling the /api/v1/chat/completions interface returns 400 Bad Request with a prompt that file uploads are not supported. Cause: The UPLOAD_FILE_ENABLE configuration item is not enabled, or the format parameters for the file field are not correctly included in the request body.
Calling the /api/v1/kb/content interface returns 415 Unsupported Media Type, while external links can download DOCX files normally in a browser. Cause: The Content-Type: application/octet-stream header is not set, or the format whitelist for file parsing is not correctly configured.
A 504 Gateway Timeout error occurs when pulling batch test data on a schedule. Cause: PARSE_FILE_TIMEOUT_SECONDS is not set to a duration suitable for long file parsing, and the retry mechanism for HTTP_REQUEST_RETRY_TIMES is not enabled.

How to Verify Successful Configuration

Call the /api/v1/chat/completions interface, upload a small snack food microbial test report DOCX file, and check if the returned results include parsed standardized field content such as batch number and total microbial count.
After configuring the CONTENT_FIELD_MAPPING mapping rules, call the /api/v1/kb/import interface with the URL of an external compliance interface, and check if due diligence data for the corresponding fields is successfully imported into the FastGPT knowledge base.
Simulate test data with incorrect external interface return formats, for example, changing the unit of total microbial count to "units" instead of "CFU/g", and check if the RESPONSE_FORMAT_VALIDATION validation intercept is triggered, or a clear format error prompt is returned.
View interface call logs to confirm that the retry mechanism for HTTP_REQUEST_RETRY_TIMES triggers normally when external interfaces return temporary errors, and that calls succeed after retries.

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.