What this type of data looks like
The main data sources for urban investment platform policy and regulatory basis Q&A are national housing and urban-rural development and finance departments, local state-owned assets supervision and administration commissions, official local government policy announcements, and industry normative documents. Update rhythm aligns with policy release timelines. Immediate updates follow major special policy releases. Regular local supporting policies are synced quarterly. Most documents use the official red-headed format, with fields including document number, effective date, and clause entries. Fields cover policy applicable regions, industry classification, revocation status, and more. Units use standard formats for regional administrative codes and policy effective dates.
Constraints on Deployment and Upgrade Phases
Policy document formats are inconsistent. They include red-headed documents, special notices, and other forms, with nested multiple attachments. During deployment, teams must adapt multi-format parsing plugins. During upgrade, parsing rules must be updated synchronously to support newly issued policy formats. Data sources are scattered across official channels at all levels. Policy structures vary significantly across different jurisdictions. During deployment, teams must configure adaptation rules for multi-source data synchronization. During upgrade, teams must optimize unified mapping logic for cross-source data. Policy effective and revocation times are clearly defined. During deployment, teams must establish a time index to support time-based filtering. During upgrade, teams must improve an automatic archiving mechanism for expired policies.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 100–150 connections | Urban investment platform policy documents are mostly long texts. Database connection count must adapt to concurrent demands of batch parsing and retrieval, avoid connection overflow, and comply with the connection pool rules of FastGPT v4.17.0. |
MONGODB_URI | Use mongodb://localhost:27017/fastgpt for local deployment, use the corresponding cloud service provider's MongoDB connection address for cloud deployment | Policy data is mainly stored as unstructured documents. MongoDB supports flexible storage of long texts and multiple fields, which meets the storage requirements of urban investment platform policy documents. |
REDIS_URL | redis://:custom password@localhost:6379/0 | Used to cache policy retrieval results and session context. Urban investment platform policy Q&A requires frequent retrieval calls. Redis reduces database pressure. Set cache validity period to 3600 seconds. |
STORAGE_S3_ENDPOINT | Use http://localhost:9000 for local deployment, use the corresponding object storage endpoint address for cloud deployment | Urban investment policy documents mostly include attachments. Object storage is used to uniformly manage attachment resources, and adapt to upload and parsing of multi-format files. |
ROOT_KEY | Generate a random 32-bit string based on the deployment environment | Used to manage the system's highest permissions, prevent unauthorized access. Urban investment platform data involves local policies, so permission control must be strict. |
Three Common Errors
- Issue: An upgrade prompt error occurs after executing the deployment script, returning
500 Internal Server Error. Cause: TheMONGODB_URIparameter is not configured correctly, causing database connection failure and failing to complete initial synchronization of policy data. - Issue: The system responds slowly after local deployment, with lag occurring even with 64GB of memory. Cause: The
DB_MAX_LINKparameter value is not adjusted. Excessive concurrent connections cause excessive database memory usage, and the connection pool configuration is not optimized for the retrieval demands of long urban investment policy texts. - Issue: Database and session information cannot be fully exported when migrating deployment from the Sealos environment. Cause: The business database associated with
PG_URLand cache data associated withREDIS_URLare not exported in advance via the backup process specified in the FastGPT official documentation, resulting in missing core configurations and historical sessions after migration.
How to Confirm the Configuration Is Complete
- Execute the database connectivity test script to confirm that the storage services pointed to by the
MONGODB_URIandPG_URLparameters can connect normally. Set the connectivity threshold according to the network rules of the deployment environment. - Upload an example of an urban investment policy red-headed document to verify that the multi-format parsing plugin can normally extract document content and attachments, and the parsing results comply with preset field extraction rules.
- Initiate a test query related to policies to confirm that the cache service associated with
REDIS_URLcan normally store retrieval results. Set the cache validity period according to the policy update frequency. - View the system permission management page to confirm that the permission control rules configured via
ROOT_KEYcan take effect normally, and unauthorized users cannot access core configuration items.
The values listed here are common starting points, and should be evaluated against the samples relevant to the actual deployment scenario.
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.