What the data for this category looks like
Data comes primarily from local gas company service ticket databases, offline service archives, official service guidance manuals, and customer service interaction logs. Service guidance documents are updated quarterly. Service tickets and interaction logs are synced daily. Document structure includes four modules: basic item information, processing flow, required materials list, and common Q&A. Fields include item code, processing location, required material quantity, processing time limit, and matching keywords for inquiries. Common units are "item", "copy", and "workday".
Constraints on Deployment and Upgrade From These Characteristics
Quarterly updates to service guidance documents require scheduled sync tasks during deployment. This prevents knowledge base content from lagging behind official update schedules. Real-time synced service tickets and interaction logs require a stable database connection. This ensures uninterrupted data writes. Structured fields and multi-unit attributes require matching index rules during storage configuration. This avoids retrieval matching deviations. Localized service data requires configuring the service domain name to the official regional address. This ensures embedded service links point to correct pages.
How to Set Configurations
| Config Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://username:password@host:27017/gas_service?authSource=admin | Stores service tickets and interaction logs, matching the structured storage requirements of municipal gas service data |
REDIS_URL | redis://:password@host:6379/0 | Caches matching results for high-frequency inquiries to reduce real-time retrieval pressure |
FE_DOMAIN | Official domain name of the regional gas service portal | Ensures service links embedded in inquiry responses point to correct local service pages |
DB_MAX_LINK | 20–30 connections | Adapts to concurrent read/write requirements of municipal gas service data, preventing connection exhaustion |
STORAGE_S3_ENDPOINT | Access address of the local enterprise cloud storage | Stores attachments to service guidance documents and high-definition guidance images |
FILE_TOKEN_KEY | 32-bit random string | Used to generate access tokens for service document attachments, ensuring secure file access |
Three Common Mistakes
- Symptom: A 502 status code appears when accessing the service inquiry page after deployment. Cause: The
MONGODB_URIconnection address lacks the correct authentication source parameter, resulting in a failed database connection. - Symptom: After upgrading to FastGPT v4.17.0, Deepseek model thinking process tags are not parsed correctly and display directly in the response body. Cause: The model output format verification switch is not enabled in system configuration, so wrapping tags are not stripped.
- Symptom: High-frequency inquiry response delay exceeds expected levels. Cause: The
DB_MAX_LINKconfiguration value is too low, exhausting the database connection pool and preventing timely response to retrieval requests.
How to Confirm Successful Configuration
- Run the database connection test script to verify that
MONGODB_URIandREDIS_URLconfigurations establish normal connections. - Submit a test service inquiry question, and check if the embedded service link in the returned result points to the configured
FE_DOMAINdomain name. - Trigger a service guidance document sync task, and check if an updated document copy is generated in the cloud storage bucket.
- View the connection pool monitoring panel in the system backend, and confirm that current active connections do not exceed the
DB_MAX_LINKconfiguration value.
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.