What Data for This Category Looks Like
Data sources for this category include online monitoring platforms, automatic pollution source monitoring data, ecological environment law enforcement systems, and third-party test reports. Update frequency is daily. Commonly processed documents include on-site inspection records, sampling records, monitoring reports, order for correction decisions, and administrative penalty decisions. Data fields include monitoring point coordinates, pollutant concentration values, law enforcement time, rectification requirements, and more. Associated units include mg/m³, hours, copies, and others. Single document length varies widely, ranging from hundreds to thousands of characters. Document structures differ significantly between file types.
Constraints Imposed on Deployment and Upgrade by These Characteristics
This category of data originates from multiple sources and updates daily. During deployment, multi-data source connection and incremental synchronization logic must be adapted to avoid excessive server resource consumption from full synchronization. Significant differences in document structures require configuration of differentiated processing rules for distinct types such as on-site inspection records and monitoring reports. Wide variation in single document length necessitates reserving sufficient storage and indexing capacity during deployment. During upgrades, compatibility with data formats of existing law enforcement systems must be maintained to prevent historical case files from becoming unreadable after version updates. Unlike other ecological environment scenarios, this scenario requires strict retention of full field integrity for original law enforcement data. No fields may be arbitrarily deleted or modified. Validation logic for different documents must also be adapted to ensure the originality and integrity of law enforcement evidence, and prevent data tampering from impacting review results.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
STORAGE_S3_ENDPOINT | http://192.168.1.100:9000 | This category of data storage relies on the dedicated S3-compatible storage of the law enforcement system. Intranet addresses must be connected to ensure data security |
REDIS_URL | redis://:custom_pass@127.0.0.1:6379/0 | Used to cache daily updated monitoring data and law enforcement records, reducing overhead from repeated queries to the law enforcement system |
FILE_TOKEN_KEY | 32-bit random string determined through actual testing | Used to encrypt access tokens for law enforcement documents, preventing unauthorized access to sensitive files such as monitoring reports |
| Knowledge base tag set | Grouped by document type, such as "On-site Inspection Records", "Monitoring Reports", "Law Enforcement Documents" | Case files in this category require classification retrieval by law enforcement stage. Tag grouping improves review matching efficiency |
| Single search limit | Top 10 entries | Law enforcement review requires precise matching of associated data for individual case files. Excessive results increase manual verification costs |
Three Common Misconfigurations
- Phenomenon: After upgrading FastGPT to version v4.17.0, an error is triggered when importing CSV-format sampling record files, with a prompt about field format mismatch. Cause: The new version updated column name validation rules for CSV files, and did not maintain compatibility with non-standard column name formats exported by the original law enforcement system.
- Phenomenon: Pulling the fastgpt-minio image results in excessively slow download speeds, and the configured storage address cannot be connected after the image starts. Cause: No domestic mirror source was configured to accelerate image pulling, and storage connection parameters did not match the intranet access rules of the law enforcement system.
- Phenomenon: The knowledge base collection tag function cannot be enabled normally, and case files cannot be grouped by monitoring type. Cause: The permission switch corresponding to
ROOT_KEYwas not enabled during deployment, and operational permissions for tag management were not granted.
How to Confirm Successful Configuration
- Access the storage address corresponding to
STORAGE_S3_ENDPOINT, upload a test on-site inspection record file, and confirm normal upload and download functionality. - Log in to the FastGPT backend, access the knowledge base tag management interface, and confirm that preset document type grouping tags can be created and bound.
- Import a CSV-format sampling record file, wait for indexing to complete, search for test keywords, and confirm that matching case file content is returned.
- Restart the FastGPT service, check the cache service logs corresponding to
REDIS_URL, and confirm that no connection error logs are generated.
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.