What this category of data looks like
The data for this category mainly comes from metrology management systems, external calibration institution certificates, standard instruments, LIMS systems, and environmental monitoring equipment. Daily generated documents include gauge ledgers, calibration plans, calibration certificates, interim verification records, original test records, reference material ledgers, and deviation handling documents. Data updates are triggered based on calibration cycles, single test results, or abnormal situations. Documents include fields such as instrument number, calibration validity period, measurement uncertainty, and traceability chain number. Units include dates, percentages, physical quantity units, etc., and must strictly comply with metrological traceability requirements.
What constraints do these characteristics impose on the deployment and upgrade link
The multi-source heterogeneous data sources, periodic update characteristics, and traceability-related field requirements of this category impose multiple constraints on the deployment and upgrade link. It is necessary to pre-configure databases and storage connections compatible with multiple data sources, and adapt to the data formats of different systems such as metrology management systems and LIMS. Incremental synchronization configuration must match calibration cycles and abnormal trigger rules to avoid excessive resource occupation from full indexing. During the upgrade process, the original document field mapping rules must be retained to prevent loss or format confusion of key fields such as traceability chain numbers and measurement uncertainty. At the same time, field matching templates for structured documents must be preset to ensure consistent parsing of documents such as calibration certificates.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | mongodb://username:password@host:port/dbname?authSource=admin | Adapts to storage requirements for structured data such as measuring instrument ledgers and calibration records, and supports indexing and querying of multiple document types |
STORAGE_S3_ENDPOINT | https://s3-cn-beijing.volces.com (or corresponding self-built storage address) | Used to store large-volume documents such as calibration certificates and original test records, and matches the storage format requirements of multi-source data |
REDIS_URL | redis://:password@host:port/0 | Caches high-frequency query data such as calibration cycles and traceability chain status, reducing database load |
FE_DOMAIN | https://your-fastgpt-domain.com | Configures the frontend access address, ensures normal invocation of voice functions, and avoids function restrictions in HTTP environments |
DB_MAX_LINK | 20–30 | Adapts to concurrent connection requirements during multi-source data synchronization, avoiding database connection exhaustion |
Three common mistakes
- Phenomenon: Voice function cannot be triggered when accessing the frontend, and the console reports cross-domain or protocol not supported errors. Cause: The
FE_DOMAINconfiguration is not set to an HTTPS address, and the deployment still uses an HTTP root address, causing the browser to restrict voice API calls in non-secure environments. - Phenomenon: After upgrading to a new version, attempting to import a workflow application from the old version fails, and the interface prompts "Application format incompatible". Cause: The application configuration containing the measuring instrument-specific field mapping was not exported before the upgrade, or the field index rules of the original database were not retained after the upgrade, causing the data structure relied on by the application to fail to match.
- Phenomenon: The knowledge base remains in the indexing state, and the logs show field parsing timeout. Cause: The
DB_MAX_LINKparameter is not configured reasonably, and concurrent connections are exhausted during multi-source data synchronization, causing the indexing task to fail to complete normally.
How to confirm the configuration is correct
- Access the configured
FE_DOMAINaddress, verify that the frontend page loads normally and the voice function can be invoked normally. - Execute a multi-source data synchronization task, check that the database connection count does not exceed the
DB_MAX_LINKconfiguration value, and no connection timeout error occurs. - Attempt to import the workflow application package from the old version, confirm that the application loads normally and includes the associated fields of the measuring instrument ledger.
- Check the knowledge base indexing task logs, confirm that there are no persistent field parsing timeout or connection failure records, and the indexing task can complete normally.
The values provided are common starting points and should be measured against the reader's own samples.