What the Data for This Category Looks Like
Data mainly comes from communication tower operation and maintenance systems, daily inspection records, project contracts, and internal approval documents. Update rhythm is divided into three categories: inspection records are updated daily or weekly, project contracts are updated on demand as projects are initiated, changed, or completed, and operation and maintenance ledgers are synced in real time as device status changes. The document structure includes standardized fields: tower ID, tower height (meters), load capacity (tons), inspection time, fault type, handling measures, contract amount, approval node status, etc. Some documents come with high-definition photo attachments taken on-site.
What Constraints Do These Characteristics Impose During Deployment and Upgrade
The multi-type, high-frequency update document characteristics of this category impose three constraints on the deployment phase: First, it is necessary to adapt to the storage needs of mixed-format data, and configure a storage service compatible with text and attachments. Second, high-frequency updated inspection and operation and maintenance data require the vector database's incremental synchronization mechanism to adapt to short-cycle refreshes. Third, structured fields with specific physical units (meters, tons) need preset field recognition rules during deployment to avoid extraction deviations. The upgrade phase must be compatible with existing tower ID and contract ledger data to avoid field mapping errors during migration.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://admin:towerPass123@10.0.0.5:27017/tower_docs | Store structured document data such as tower inspection reports and contract ledgers, specify a dedicated database to isolate business data |
REDIS_URL | redis://:redisPass@10.0.0.6:6379/1 | Cache frequently called tower ID mappings and approval node status to ensure response efficiency |
STORAGE_S3_ENDPOINT | http://cos.ap-guangzhou.myqcloud.com | Store attachments such as inspection photos and contract scans, adapt to the maximum 1000 MB single-file upload requirement |
FILE_TOKEN_KEY | Randomly generated 32-bit hexadecimal string | Encrypt file download tokens to prevent unauthorized access to sensitive on-site tower documents |
FE_DOMAIN | https://tower-writing.your-company.com | Configure the frontend access domain name to ensure normal preview and sharing links after document generation |
ROOT_KEY | 64-bit key configured in accordance with internal enterprise permission specifications | Manage platform super administrator permissions, limit the scope of core configuration modifications |
Three Common Mistakes
- Symptom: An error occurs when clicking New Document Template after local deployment, with the prompt
Cannot read properties of undefined (reading 'incl'. Cause:FE_DOMAINand backend interface cross-origin rules are not configured correctly, causing the frontend to fail to call the template generation interface. - Symptom: oneAPI is connected to the large model and vector model, but errors occur repeatedly when generating tower inspection documents. Cause: The database index of
REDIS_URLis not adjusted, causing cache conflicts to occupy model request queue resources and trigger call failures. - Symptom: After uploading tower contract documents, structured fields such as tower height and load capacity cannot be extracted. Cause: No preset field recognition rules for physical units (meters, tons) are set, causing the structured extraction process to fail to match target fields.
How to Confirm Configuration is Complete
- Access the frontend address corresponding to
FE_DOMAIN, check whether the document drafting page loads normally, and there are no resource loading failure prompts. - Upload a standard tower inspection report document to trigger the document generation process, check whether results are returned within a reasonable time frame.
- View the database corresponding to
MONGODB_URI, confirm that inspection reports, contract ledgers and other data have been successfully written to the corresponding collections. - Generate a document with attachments, check whether the attachments can be downloaded normally and the token verification is valid.
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.