What this category of data looks like
Data sources include internal Party building archive systems of refining and chemical enterprises, study guidance documents issued by superior Party committees, and daily team study records. Data is updated weekly with the latest documents from superior Party committees, and monthly with team study archive content. Document structure includes title, issuing unit, release date, main body content, and associated production post tags. Fields include string-type title and issuing unit, date-formatted release time, long-text main body, with storage units measured in characters and MB.
Constraints imposed on deployment and upgrade
Each characteristic of the data creates specific constraints:
- Document structure with associated production post tags requires configuring tag matching recall rules during deployment. This ensures the Q&A system only recalls Party building content for corresponding production posts.
- Weekly updated data sources require retaining incremental sync configuration entries during upgrades. This avoids full data pulls occupying refining and chemical enterprise intranet bandwidth.
- Long-text main body fields require adjusting long-text processing parameters during deployment. This prevents content truncation from harming Q&A accuracy.
- Intranet-deployed data sources require configuring intranet access storage endpoints. Public network access permissions must be disabled.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://172.16.10.23:27017/fastgpt_dj | Party building data of refining and chemical enterprises is stored in an intranet MongoDB instance. Specify the intranet IP and dedicated Party building database. |
REDIS_URL | redis://172.16.10.24:6379/1 | Intranet-deployed Redis instances cache sessions. Use database 1 to isolate Party building business data. |
STORAGE_S3_ENDPOINT | http://172.16.10.25:9000 | Refining and chemical enterprises use intranet MinIO for Party building document storage. Configure the intranet storage access endpoint. |
FE_DOMAIN | http://dangjian.fastgpt.internal:3000 | Specify the intranet domain as the frontend access address to comply with enterprise intranet access rules. |
DB_MAX_LINK | 20 connections | Adapt to concurrent access volumes for refining and chemical Party building Q&A, avoid exhausting database connection resources. |
FILE_TOKEN_KEY | Random 32-digit hexadecimal string | Encrypt document access tokens to ensure access permission security for Party building documents. |
Three common misconfigurations
- Phenomenon: The docker pull command returns a timeout or image not found error. Cause: The enterprise intranet mirror repository address is not configured, and the pull attempt uses the public network. Refining and chemical enterprise intranets restrict public network access.
- Phenomenon: After upgrading to v4.8.14-fix, the voice playback function fails to operate normally, while the Whisper voice transcription function works correctly. Cause: The intranet network alias for the voice service is not configured in docker-compose.yaml, causing the frontend to fail to connect to the voice service instance.
- Phenomenon: The client returns a deserialization failure error when receiving code running results. The interface returns empty fields or abnormal formatting. Cause: The FastGPT v4.17.0 interface return field structure is not adapted. Old version parsing logic cannot recognize new fields.
How to confirm successful configuration
- Run the docker ps command. Confirm all FastGPT-related containers are in a running state, with no abnormal exit or restart records.
- Access the configured
FE_DOMAINaddress. Log in to the system, submit a Party building question containing production post keywords, and verify that recalled content matches post tags. - Upload a test Party building document. Check that the storage path matches the configured intranet storage address, with no public network storage anomalies.
- View database connection logs. Confirm database connection counts are within a reasonable range, with no connection exhaustion errors.
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.