What the data for this category looks like
Data sources for qualification compliance bidding include qualification scans uploaded by bidders, public qualification disclosure data from official regulatory platforms, and parsed qualification clause content from project bidding documents. Updates are triggered only when a bidding project starts or when regulatory qualification information changes, with frequency adjusted per individual bidding project cycle. The documents are a structured field set including certificate name, certificate number, issuing authority, valid start date, valid end date, compliance status, and other fields. Valid periods are measured in natural days, and certificate numbers use an alphanumeric format.
What constraints these characteristics impose on deployment and upgrade workflows
Multi-source data access requires configuring three types of adaptation parameters during deployment: OCR recognition, API synchronization, and bidding document parsing, to avoid format incompatibility between data from different sources. The dynamic update feature tied to project cycles requires the upgrade process to support flexible adjustment of synchronization task trigger cycles without resetting global configurations. A large number of structured fields and the need to match project-specific requirements mean project-level field mapping rules must be configured during deployment, to ensure parsed data aligns with system verification logic. High compliance requirements require updating the built-in qualification verification rule library during upgrades to adapt to the latest regulatory standards.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Qualification files include multi-page high-definition scans, so OCR parsing takes a long time, requiring sufficient processing time reserved |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Qualification files may include packaged scans of multiple certificates, requiring support for large file uploads |
SYNC_API_INTERVAL | 3600 seconds | Regulatory qualification disclosure data updates at a low frequency, so high-frequency synchronization will add unnecessary network overhead |
FIELD_MAPPING_RULE | Automatically map fields parsed from bidding documents | Qualification compliance verification must strictly match the qualification items required by the project, and automatic mapping reduces manual configuration errors |
COMPLIANCE_CHECK_RULE_VERSION | Latest official version | Must match the currently effective regulatory qualification requirements to ensure verification logic complies with the latest standards |
CLUSTER_REPLICA_COUNT | 2-4 replicas | Concurrent verification requests exist during bidding project peak periods, and multiple replicas improve service stability |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to conduct testing with relevant samples prior to finalizing settings.
Three common configuration errors
- Symptom: Only 127.0.0.1 can access the service within the local area network, while other devices cannot connect. Cause: The FastGPT service is not bound to the 0.0.0.0 address and only listens on the local loopback interface.
- Symptom: Qualification file parsing fails, returning a 400 status code. Cause: The pulled OCR engine image version is outdated and cannot recognize the layout of new qualification certificates.
- Symptom: Service fails to start or cannot establish a database connection. Cause: The
MONGO_INITDB_ROOT_PASSWORDenvironment variable is not correctly configured in docker-compose.yml, or the server port 3000 is not opened.
How to confirm configuration is complete
- Execute the curl http://127.0.0.1:3000/api/v1/health command to verify that the local service health status is normal, then switch to another device on the local area network and execute the same command to confirm normal access.
- Upload a standard qualification scan, check whether the fields in the parsing result match the preset mapping rules, and confirm that the field configuration takes effect.
- Start multiple service instances, check the node status on the cluster monitoring panel, and confirm that all replicas are in a running state.
- Trigger a regulatory data synchronization task, check that the synchronization log has no error messages, and confirm that the synchronization configuration takes effect.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.