What the data for this category looks like
The data for dairy product intelligent due diligence reports mainly comes from three sources: raw milk and finished product sampling data from third-party testing institutions, breeding and processing records from ranch traceability systems, and temperature and humidity monitoring data from supply chain logistics. Data update rhythms fall into three categories: raw milk acquisition testing data is updated daily, finished product factory sampling data is updated weekly, and terminal market sampling data is updated monthly.
The structure of a single due diligence report document is fixed, including the batch identification and ranch traceability code module, the core physical and chemical and microbial indicator module, and the agricultural and veterinary residue detection item module. The included fields are milk fat content, protein content, total bacterial count, and aflatoxin M1 residue, with corresponding units of g/100g, g/100g, CFU/mL, and μg/kg respectively.
What constraints these characteristics impose on HTTP interfaces and external systems
The multi-frequency updated data for dairy products requires HTTP interfaces to support pulling data across three dimensions: batch number, ranch traceability code, and time range. It must also provide incremental pulling capability to adapt to daily updated raw milk data.
Fixed fields and units require each indicator returned by the interface to carry a clear unit identifier, to avoid unit confusion during cross-system conversion. Multi-source data access requirements mean the external system docking link must be compatible with three different interface formats: testing institutions, ranch management systems, and logistics monitoring systems. Some interfaces with security requirements must pass two-way SSL certificate verification.
In addition, some core indicators such as aflatoxin M1 residue have mandatory compliance thresholds. The interface must return both the original detection value and the compliance judgment result, to reduce additional verification costs for downstream processing logic.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | A single dairy due diligence report usually contains multiple sets of testing data, so parsing time is longer than general documents. Extend the timeout to avoid interruptions |
UPLOAD_FILE_MAX_SIZE | 100 MB | A complete single due diligence report contains multi-batch testing data, with a typical file size of 80–90 MB. Reserve reasonable buffer space |
HTTP_REQUEST_TIMEOUT | 60 seconds | When docking with third-party testing institution interfaces, some testing data requires cross-database queries. The timeout setting must cover normal request cycles |
REQUIRED_FIELDS | batch number,milk fat content,total bacterial count,aflatoxin M1 residue | Core indicators for dairy product due diligence cannot be missing. Mandatory verification of returned field completeness |
SSL_VERIFY | Enabled | When docking with ranch traceability systems and testing institution interfaces, verify SSL certificate legitimacy to ensure data transmission security |
BATCH_SYNC_INTERVAL | 1 hour | Adapt to daily updated raw milk testing data. Periodically pull the latest batch data incrementally to avoid data lag |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- A 500 error is returned when calling an external testing interface, with the log showing
do request failed: Post "https://xxx" tls: failed to verify certificate. The cause is that the SSL certificate verification configuration is not enabled, or the third-party interface uses a self-signed certificate that has not been imported into the trust store. - Pulled due diligence data lacks milk fat content or total bacterial count. The cause is that the
REQUIRED_FIELDSmandatory verification item is not configured, and non-mandatory fields returned by some interfaces are not properly returned, leading to downstream parsing failures. - Unit conversion errors occur when parsing due diligence reports. The cause is that the interface configuration does not require the returned fields to carry unit identifiers, and direct calculation using numerical values leads to unit confusion.
How to Confirm Configuration Is Correct
- Call the test interface with the batch number of known dairy product due diligence data, check whether the returned fields include the configured mandatory verification items, and each indicator carries its corresponding unit.
- Simulate a daily updated raw milk data pull request, check whether the interface returns incremental data without duplicate batches.
- View system logs, confirm that the SSL verification status is enabled for external interface calls, and there are no certificate verification failure errors.
- Upload a standard dairy product due diligence report, check whether the parsing time is lower than the configured
PARSE_FILE_TIMEOUT_SECONDSvalue, and there are no parsing timeout errors.
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.