What the data for this category looks like
Data related to process specifications and technical standards for mass production of automotive parts comes from customer drawings, special characteristic lists, ERP/MES systems, measurement and inspection tool data, equipment process parameters, and supplier quality certificates. Daily maintained documents include control plans, process flowcharts, work instructions, first article and patrol inspection records, SPC reports, PPAP materials, and 8D reports. Data is updated per production batch, during shift patrol inspections, and through continuous collection of equipment parameters. Fields include technical parameters with clear units such as tolerance values, equipment rotation speed, and pressure thresholds. Structure is adjusted based on customer-specific requirements.
What constraints these characteristics impose during deployment and upgrade
Since data sources involve integration with multiple systems, cross-system access permissions must be configured during deployment to avoid data synchronization interruptions. High-frequency real-time updates require optimization of cache and database connection parameters during deployment to prevent concurrent access overload. Subject to change constraints from vehicle customers, consistency of historical version process data must be maintained during upgrades to avoid production documents becoming disconnected after version updates. Bulk stored reports and documents have large volume, so large-capacity storage configurations must be adapted to meet long-term archiving requirements.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 20–30 connections | The concurrent access volume of process data for mass production of automotive parts is relatively high. This value prevents database connection exhaustion. |
MONGODB_URI | mongodb://[username]:[password]@[host]:[port]/fastgpt?authSource=admin | Adapts to semi-structured process documents and patrol inspection record storage, and meets flexible query requirements for unstructured data. |
REDIS_URL | redis://:[password]@[host]:[port]/0 | Caches frequently accessed work instructions and special characteristic entries, reducing repeated query load on the database. |
STORAGE_S3_ENDPOINT | 1000 MB+ compliant object storage endpoint | Stores bulk-generated files such as SPC reports and PPAP materials, meeting large-capacity archiving requirements. |
FILE_TOKEN_KEY | 32-byte random string | Generates file access tokens to ensure the security of download permissions for process documents. |
ROOT_KEY | Calibrated based on actual measurements | Permission verification key for the management backend, must match the key management strategy of the deployment environment. |
Three Common Mistakes
- For FastGPT v4.17.0: Symptom: After running docker pull to fetch the specified version image, the version number displayed after startup does not match the target version. Cause: The full tag of the image was not specified, and an image from a non-target branch was pulled by default, leading to abnormal version display.
- Symptom: When configuring third-party access, a prompt indicates that the received message address verification failed. Cause: The deployment node does not have a publicly accessible address, or the public IP is not added to the whitelist of the corresponding platform, so address verification cannot be completed.
- Symptom: Version updates cannot be performed in an offline deployment environment. Cause: Required docker images and dependency packages were not downloaded offline in advance, and update resources are pulled over the network, resulting in upgrade failure.
How to Confirm Proper Configuration
- Log in to the FastGPT management backend, check the database connection count and cache connection status on the system status page to confirm that connections for each configuration item are normal.
- Upload a control plan document for automotive parts, test the retrieval function, and confirm that matching work instructions, SPC reports, and other related entries can be returned.
- Check the object storage bucket to confirm that process documents, PPAP materials, and other files have been correctly uploaded to the configured path.
- Restart the deployment service, and verify that there are no configuration item missing or connection failure error messages in the startup log.
The values provided are common starting points and should be measured against the reader's own samples.