Service Consultation and Response for Infrastructure Construction: Deployment and Upgrade

Reference only; verify against the target FastGPT release and deployment documentation.

What this category of data looks like

Data is primarily sourced from construction project approval documents, on-site construction Q&A logs, government service consultation ticket archives, and project acceptance documents. Update frequency aligns with project progress: initial data is imported in bulk when a project starts, and real-time supplements are made when construction nodes change or policies are updated. Each document typically includes fields for project number, construction section scope, original consultation question, official response content, processing time limit, and responsible subject. Some documents have attachments such as CAD drawings and construction videos. Field units include workdays, square meters, kilometers, and similar units. There is no fixed uniform maximum document length.

Constraints for Deployment and Upgrade

Infrastructure construction service consultation data includes multiple types of attachments and structured fields. Deployment must support large-volume file storage and structured data read/write operations. Data update rhythms are inconsistent: there are both bulk-imported historical project data and real-time submitted consultation tickets. A dynamically adjustable concurrent connection mechanism must be configured. Data from different construction sections must be strictly isolated to prevent cross-project data leaks. Dedicated access domain names and permission control configurations must be bound. Some data includes non-text attachments, so a dedicated storage node must be configured to ensure read/write efficiency. Predefined database indexes must also be set up to speed up queries for structured fields.

Configuration Settings

Three Common Configuration Mistakes

• Symptom: After deploying FastGPT via Docker, the packages/plugins/register directory cannot be located, and custom plugins fail to load. Cause: The plugin initialization command was not added to the image build script, so the directory was not automatically generated.
• Symptom: When deploying locally with a large number of workflow nodes, text input becomes sluggish. Cause: The REDIS_URL configuration to enable caching services was not configured. High-frequency node status updates directly request the database, leading to excessive IO load.
• Symptom: An insufficient permissions error appears when attempting to import a service consultation template. Cause: A dedicated ROOT_KEY was not generated, so system administrator permissions to access the template import interface cannot be obtained.

How to Verify Configurations Are Correct

• Run the database connection test command to verify that the database configured via MONGODB_URI can properly read and write project-related structured data.
• Upload an engineering drawing attachment, and test the access link generated via FILE_TOKEN_KEY to confirm that only authorized accounts can view files for their corresponding construction section.
• Access the configured FE_DOMAIN to confirm that the service consultation front-end page and associated project data load normally.
• Send multiple concurrent consultation query requests to confirm that no connection pool exhaustion error messages appear with the DB_MAX_LINK configuration.

The values provided are common starting points and should be evaluated against samples specific to the local deployment.

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.