What data falls under this category
The data used for document and material drafting in nuclear power operations primarily comes from on-site operation logs, safety review reports, equipment operation and maintenance procedures, and emergency response records. Data updates are triggered by production milestones. New documents are generated after individual jobs are completed and after monthly safety reviews. Most documents have a fixed structure, including approval signature sections, core parameter sections, and standardized operating steps. Fields cover reactor core temperature, operating duration, radiation dose, and other relevant metrics. Units mostly follow professional metrology standards such as megapascals, hours, and millisieverts.
What constraints these characteristics impose during deployment and upgrade
The fixed structure and specialized field requirements for nuclear power operation documents require deployment to prioritize structured storage logic. Unstructured parsing must be avoided to prevent loss of core fields. Frequently updated production node data requires upgrade processes to ensure continuous data synchronization. Interruptions must be avoided to prevent disruption to on-site document generation. Consistent professional unit requirements require standardized unit mapping rules to be configured during deployment. Unit mixing in subsequently generated documents must be prevented. Large volumes of historical document libraries require sufficient storage space and data migration buffer time to be reserved during upgrades. Migration failures leading to data loss must be avoided.
How to configure settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
DB_MAX_LINK | 200–300 | Matches the high access volume of nuclear power documents, prevents database connection exhaustion |
STORAGE_S3_ENDPOINT | Exclusive domain name for intranet-compliant object storage | Ensures local storage of nuclear power sensitive documents complies with security specifications |
REDIS_URL | Intranet Redis instance address with ACL authentication | Prevents unauthorized access to sensitive document metadata |
FE_DOMAIN | Fixed secondary domain for intranet access | Prevents cross-domain issues or blank pages during iframe embedding |
ROOT_KEY | Randomly generated 32-character string without special characters | Limits the permission scope of background operations, complies with security management requirements |
FILE_TOKEN_KEY | Random key independent of other services | Ensures the security of document download links |
Three common mistakes
- Symptom: Custom plugin cannot be found in the background after installation. Cause: The plugin package was not placed in the FastGPT-specified plugin directory, or the service was not restarted to load the new plugin.
- Symptom: Pages embedded via iframe display a blank screen, but direct access to the address works normally. Cause: The
FE_DOMAINconfiguration does not include the embedded page's domain name, or the cross-domain access whitelist was not configured. - Symptom: After upgrading to FastGPT v4.17.0, the audio transcription function throws an error for POST /v1/audio/transcriptions HTTP. Cause: The audio processing dependency package was not updated synchronously during the upgrade, or the transcription service address in the configuration file was not adapted to the new version's parameters.
How to confirm configuration is complete
- Access the address configured in
FE_DOMAIN, confirm the page loads normally with no cross-domain related errors. - Connect to the instance configured in
REDIS_URL, check that uploaded nuclear power document metadata can be read normally. - Upload a nuclear power operation and maintenance procedure document, confirm that no database connection exhaustion prompt appears for the connection limit set in
DB_MAX_LINK. - Restart the FastGPT service, check the plugin management page to confirm the custom plugin has been loaded normally.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.