What data for this category looks like
Production data for dyeing and finishing comes from customer color swatches, formula libraries, dye chemical batches, dye vat control systems, colorimeters, setting machines, environmental monitoring equipment, and other sources. Daily documents include dyeing formulas, chemical weighing records, dye vat temperature curves, proofing confirmation sheets, color difference reports, setting process sheets, sewage discharge ledgers, and more. Data is updated per vat, per batch, per shift. Fields include dye vat number, chemical batch number, color difference ΔE, setting temperature, COD discharge value, and additional fields. Corresponding units are vat run, batch, no unit, ℃, mg/L.
Constraints imposed by these characteristics on HTTP interfaces and external systems
High-frequency per-vat or per-batch data updates require HTTP interfaces to support low-latency calls. This prevents production data loss caused by interface response timeouts. Multiple types of documents and data formats require interfaces to support transmission and parsing of structured fields, unstructured curves, and reports. Fixed business fields and units require strict parameter mapping between external systems and FastGPT. This prevents data entry errors. Incorrect data can lead to full-vat rework, color mismatches, or excessive discharge. Interface authentication must ensure the legitimacy of data sources. It prevents unauthorized data access.
How to configure
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Bearer {pre-configured API key} | Ensures the legitimacy of external system calls, prevents unauthorized data writes to production ledgers |
variables | Bind fixed fields such as vat number, color difference, chemical batch number | Matches the standard field structure of dyeing ledgers, ensures accurate data entry |
responseData | Include processing status, batch ID, and elapsed time fields | Meets the return format requirements of external systems, facilitates subsequent summary report generation |
| Timeout setting | 30–60 seconds | Adapts to the average processing cycle of dye vats, avoids interface failures caused by device response delays |
| Single request data volume | 1–5 vat run data | Balances data transmission efficiency and interface load, adapts to the high-frequency update business rhythm |
Three common configuration mistakes
- Phenomenon: The interface returns a
401 Unauthorizedstatus code, and unauthorized system-written incorrect data appears in the ledger. Cause: Valid authentication parameters are not configured, permitting unauthorized requests to access the system. - Phenomenon: Color difference fields are empty in the summary report, making matching with proofing confirmation records impossible. Cause: The color difference mapping field in
variablesis not correctly bound, preventing correct extraction of colorimeter data returned by external systems. - Phenomenon: Interface calls time out, preventing full vat production data from being entered into the ledger. Cause: The timeout setting is too short, failing to adapt to actual response durations of processes such as dye vat heating and heat preservation.
How to verify a successful configuration
- Call the external system’s test interface, check if returned data includes preset ledger fields to confirm correct field mapping.
- Simulate high-frequency interface calls, check if interface response duration meets business requirements to confirm a reasonable timeout setting.
- View FastGPT operation logs, confirm that the
Authorizationparameter has been correctly loaded, with no unauthorized access errors. - Generate a test ledger report, check if it includes content such as dyeing formulas and color difference data returned by the external system to confirm complete data summary.
The values given are common starting points and should be measured against the reader's own samples.