What the data for this category looks like
This category covers all content related to the full environmental impact assessment (EIA) approval workflow for ecological environment departments. Daily documents include environmental impact assessment reports or report forms, approval applications, public participation explanations, technical assessment opinions, and EIA approval documents. Data sources include the national unified construction project EIA declaration and approval system, ecological environment zoning control results, pollution discharge permission platform, and monitoring data. Update frequency is irregular. Individual document lengths vary widely. Fields include project category, EIA level, pollution prevention measures, public participation opinions, and more. There is no unified fixed format.
What constraints these characteristics impose on deployment and upgrades
Multi-source heterogeneous data sources require configuring access interfaces compatible with different systems during deployment to avoid data synchronization interruptions. Diverse document formats and wide length variations require optimizing unstructured document parsing and adaptation capabilities during upgrades to ensure core field extraction accuracy. Irregular update frequencies require configuring incremental synchronization mechanisms to avoid excessive system resource usage from full synchronization. Severe consequences of approval errors require configuring a complete log and failure alarm link during deployment to promptly detect parsing or call abnormalities, and ensure approval process reliability.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
REDIS_URL | redis://localhost:6379/0?socketTimeout=60000 | Cache EIA approval sessions and vector retrieval intermediate results to ensure stability for multi-user access |
STORAGE_S3_ENDPOINT | http://localhost:9000 | Persistently store unstructured data such as EIA documents and approval documents, and adapt to multi-node deployments |
DB_MAX_LINK | 80–150 connections | Adapt to concurrent access needs of multi-source EIA data systems and avoid exhausting database connections |
MONGODB_URI | mongodb://localhost:27017/fastgpt | Store conversation logs for party building Q&A and EIA knowledge base metadata to ensure data persistence |
ROOT_KEY | Generate a random 32-bit string based on the deployment environment | Configure background management permissions to prevent unauthorized access |
Three common errors
- Symptom: Parsing result is empty after uploading an environmental impact assessment report, and logs show file processing timed out. Cause: The connection upper limit for
DB_MAX_LINKwas not adjusted, leading to exhausted database connections from concurrent access to multi-source EIA data systems, which prevents parsing tasks from normally reading document metadata. - Symptom: GPT-4o-mini call error logs are generated during workflow runtime, even though the model is not actually called in the workflow. Cause: Model configuration parameters from the general knowledge base remain, and redundant configurations were not cleaned up for the EIA party building Q&A scenario.
- Symptom: Local deployed model services cannot be connected, with a connection timeout prompt. Cause: The access address for the model service was not configured correctly, or network permissions for the corresponding port were not opened, preventing the Q&A service from obtaining model responses.
How to verify configurations are properly set
- Log in to the FastGPT v4.17.0 background management interface, check if the
ROOT_KEYconfiguration matches the key generated during deployment, and verify that management permission access works normally. - Upload an EIA approval application document, check if the core fields of the document are fully extracted in the parsing result, and verify that document storage and parsing configurations are active.
- Initiate a party building Q&A conversation, check if conversation logs are properly written to the database, and verify that the
MONGODB_URIandREDIS_URLconfigurations are active. - Test access to the local model service, initiate a Q&A request, and verify that the model call link works normally with no connection errors.
The values provided here 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.