What data looks like for this category
This category of data is generated around the processing workflow of information that can identify natural persons. Sources include business system operation logs, App permission lists, public privacy policy texts, and user information request records. Daily output documents include personal information inventories, data processing rules, impact assessment reports, and user authorization texts. Data update frequency is adjusted quarterly or synchronized with each product function change. Most fields include core items such as natural person identification identifiers, processing purposes, legal basis, and storage scope. No additional statistical quantitative indicators are included.
What constraints these characteristics impose on the database and operations link
Data sources are diverse and include sensitive natural person information. This requires strict configuration of identity authentication and encrypted transmission for database access to avoid compliance risks caused by unauthorized reading. Update frequency is not fixed and synchronized with product changes. This requires support for rapid table structure iteration and data migration, while ensuring no data leakage during the change process. Document data must be stored in categories, adapted to different database table structures. For example, authorization texts must be archived separately to meet compliance retrieval requirements. User request records involve personal information, so data desensitization storage must be configured to prevent unauthorized access to sensitive fields. At the same time, the storage location of sensitive data must be quickly located during fault troubleshooting to meet the traceability requirements of compliance audits.
How to set configurations
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://[username]:[password]@host:port/fa_privacy?authSource=admin&ssl=true | Adapts to storage of personal information-related data, configures ssl encrypted transmission to ensure connection security, and meets compliance requirements |
PG_URL | postgresql://user:pass@host:5432/fa_compliance?sslmode=require | Supports storage and fast query of structured compliance documents, encrypted connection prevents data eavesdropping |
DB_MAX_LINK | 20–25 connections | Adapts to the concurrency limit for sensitive data access, avoids resource exhaustion or compliance audit difficulties caused by excessive connections |
REDIS_URL | redis://:authpass@host:6379/0 | Used to cache query results of desensitized compliance data, reducing the risk of direct exposure of sensitive data |
Three common misconfigurations
- Phenomenon: Database connection plugin installation fails, the interface returns a 500 status code, and the log prompts connection string authentication failure. Cause: The
MONGODB_URIwith ssl encryption is not configured in accordance with personal information compliance requirements, resulting in failed connection verification. - Phenomenon: When querying the storage location of the trained knowledge base, empty fields or missing corresponding table entries are returned. Cause: A dedicated database table is not created separately for compliance documents, resulting in data being mixed with business data, and personal information-related storage items cannot be quickly located in accordance with compliance requirements.
- Phenomenon: Sensitive data reading exceptions occur after MongoDB version update, and some desensitized fields cannot be parsed normally. Cause: Compatibility between the new version and the existing compliance data desensitization storage logic is not verified in advance, resulting in the inability of the new version to read encrypted fields from the old version.
How to confirm configuration is complete
- Run the database connection test script to verify the connectivity of configuration items such as
MONGODB_URIandPG_URL, and adjust parameters based on the returned authentication results. - Import a test personal information list document, write it to the corresponding database table, check that the stored fields match the preset structure, and confirm that the desensitization rules take effect.
- View the operation and maintenance audit logs to confirm that all database access operations record the operating subject and time, which meets compliance audit requirements.
- Check the Redis cache configuration to confirm that the cached data only contains desensitized personal information fields, and no original sensitive data is stored.
The values provided here 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 2026-10-19.