What the data for this category looks like
Urban gas utility business data originates from four main sources: pipeline inspection terminals, user payment systems, station operation monitoring platforms, and emergency dispatch logs. Structured data includes fields such as station ID, pipeline pressure value (unit: kPa), inspection time, user address, and payment amount. Unstructured data includes on-site inspection photos and fault troubleshooting reports. Data update rhythms vary widely: real-time monitoring data refreshes every second, inspection records synchronize per shift, user payment data enters the database in real time, and log-type data summarizes and updates daily.
Constraints on deployment and upgrade
The mixed data structure and varied update rhythms of urban gas utilities create multiple constraints for FastGPT deployment and upgrade. The need to store both structured and unstructured data requires simultaneous configuration of the object storage service linked to STORAGE_S3_ENDPOINT and relational database parameters. High-concurrency write requests from real-time monitoring data demand adjustments to database connection configurations during upgrades to maintain stable operation. Dispersed station and user data across multiple regions requires setting FE_DOMAIN to support multi-node access and prevent cross-domain access errors. Large differences in unstructured file sizes require setting a single-file upload limit to avoid excessive storage resource consumption.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://gas_user:G@s123@mongodb-host:27017/gas_office?authSource=admin | Stores structured business data including user logs and inspection records |
REDIS_URL | redis://gas_redis:R3d1s@redis-host:6379/1 | Caches real-time monitoring data and session context to lower database load |
DB_MAX_LINK | 200–300 connections | Supports high-concurrency write requests for real-time monitoring data |
STORAGE_S3_ENDPOINT | https://s3.gas-province.com | Stores unstructured files such as inspection photos and fault reports |
FE_DOMAIN | https://internal.gas-office.com | Configures the access domain name for internal office systems to enable cross-region employee access |
Three common configuration errors
- After configuring a local model and sending a call request, a channel verification failure error appears. This happens because
ROOT_KEYis not correctly set as an access token, and the corresponding model address is not bound in the OneAPI channel. - After upgrading to FastGPT v4.17.0, calling an application with a knowledge base for question answering returns an error. This happens because the knowledge base vector index was not rebuilt during the upgrade, and the index structures of the old and new versions are incompatible.
- Sending an inspection data query request in a high-concurrency scenario causes a timeout error. This happens because the
DB_MAX_LINKparameter was not adjusted, and the database connection pool capacity is too small to handle a large number of concurrent query requests.
How to verify successful configuration
- Access the system status page in the FastGPT backend, and confirm that the service connection status indicators for configuration items such as
MONGODB_URIandREDIS_URLshow normal. - Upload a gas station inspection report file to confirm that unstructured file storage and subsequent retrieval processes run normally.
- Send a simulated user payment data query request to confirm that the returned results include correct business fields and units.
- Send an access request from a cross-region office network to confirm that the domain name configured for
FE_DOMAINloads the system interface normally.
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.