What the Data for This Category Looks Like
Coal-energy integration documents and materials mainly originate from underground mining ledgers, unit operation logs, compliance submission documents, maintenance work records, and cross-department collaboration correspondence. Data update rhythms fall into three categories: daily maintenance reports are generated in real time upon task completion, monthly scheduling ledgers are updated weekly, and annual compliance assessment files are produced in batches per project cycle. Most document structures include fixed fields: project ID, work area, extraction volume, power generation volume, safety inspection items, and approval nodes. Common units are tons, megawatt-hours, days, and person-times. Primary formats are Word, PDF, and structured tables.
What Constraints These Characteristics Impose on Deployment and Upgrade
The real-time nature, structured format, and diverse formats of coal-energy integration documents create multiple constraints for deployment and upgrade. Real-time maintenance reports require configuring a low-latency file parsing queue during deployment to avoid blocking batch tasks. Structured documents with fixed fields need preset matching chunking rules to ensure key business fields are not split. Non-standardized layouts of cross-department collaboration correspondence require compatibility with more file parsing plugins during upgrades. Large volumes of tabular documents need configured matching indexing strategies to prevent field misalignment during retrieval. Additionally, weekly updated batch ledgers require supporting stable scheduled sync tasks during deployment.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 200–300 connections | Coal-energy integration documents have a high volume of batch parsing and retrieval tasks, requiring sufficient database connections to support concurrent access |
MONGODB_URI | mongodb://[username]:[password]@[host address]:[port]/[database name]?authSource=admin | Stores large volumes of unstructured operation logs and cross-department correspondence, requiring a database connection address with permission verification |
REDIS_URL | redis://:[password]@[host address]:6379/0 | Caches parsed document fragments and retrieval results, requiring a stable cache connection to ensure retrieval speed |
STORAGE_S3_ENDPOINT | Configured per the enterprise's internal object storage address | Stores original Word and PDF format document files, requiring adaptation to the enterprise's internal storage endpoint |
FILE_TOKEN_KEY | Randomly generated 32-bit string | Secures the file upload interface, preventing unauthorized access and large-scale uploads of coal-energy business documents |
ROOT_KEY | Configured during initial deployment, retain the original value during upgrades | Serves as the platform's highest-privilege key, preventing permission configuration anomalies caused by upgrade resets |
Three Common Misconfigurations
- Symptom: Docker deployment results in container failure to start, with logs indicating database connection failure. Cause: Incorrect configuration of
MONGODB_URIorREDIS_URLaddress and permission parameters, preventing the platform from connecting to cache and database services. - Symptom: After uploading structured tabular documents for coal-energy integration in an offline environment, the page remains in a loading state. Cause: Offline adaptation mode was not configured during deployment, and the platform attempts to access external API interfaces to obtain dependent resources, which cannot complete requests in an offline environment.
- Symptom: Generated coal-energy project submission spreadsheet materials display truncated content in the conversation interface, with
...[hide 38432 char]appearing at the end. Cause: When parsing long tabular documents, the chunking logic fails to fully retain the cross-page structure of the table, resulting in partial content being split and lost.
How to Verify Correct Configuration
- Run the built-in database connection detection tool, verify that the
DB_MAX_LINKconfiguration matches the current concurrent task scale, and adjust the value based on the actual number of running tasks. - Upload a standard coal-energy maintenance report file, check the field integrity and format correctness of the parsing result, and confirm that the storage configuration is working properly.
- Upload a file in an environment disconnected from the external network, verify that the task can complete normally, and confirm that the offline deployment configuration is effective.
- Generate a submission material containing multi-page tables, check that the displayed content in the conversation interface is complete, and confirm that the context-related configuration meets the length requirements of business documents.
The values provided are common starting points and should be evaluated 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.