What the data for this category looks like
Data for this category comes from national public resource trading platforms, local public resource trading platforms, construction project approval systems, and bidding and tendering supervision systems. The update frequency is daily. Commonly processed documents include tender notices, qualification pre-qualification documents, bidding documents, tender submission documents, bid evaluation reports, successful bid candidate public notices, and successful bid result public notices. Data fields cover section information, qualification requirements, tender quotes, bid evaluation expert records, successful bid results, and more. Some fields require matching specialized terminology for construction projects, and there are no unified fixed units.
Constraints on database and operations maintenance
High-frequency daily data updates require the database to have stable concurrent write capabilities to avoid data backlogs. Mixed storage of structured and unstructured data from multiple document types requires compatibility with both relational and non-relational databases. Decentralized data sources lead to inconsistent field formats, so standardized cleaning rules must be configured during operations maintenance. Compliance requirements for bidding and tendering data require traceable database backups and access audits. Associated data from processes such as section splitting and bid evaluation verification requires the database to have efficient associated query capabilities to support the real-time needs of ledger summary.
Configuration settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://admin:securepass@trade-db:27017/zb_db?authSource=admin | Stores unstructured documents for the entire bidding and tendering process, supports high-concurrency read and write operations |
PG_URL | postgresql://admin:securepass@trade-db:5432/trade_meta | Stores structured associated data for sections, bid evaluations, and successful bids, supports efficient associated queries |
DB_MAX_LINK | 200–300 connections | Matches concurrent requirements for daily high-frequency data updates, prevents connection exhaustion |
REDIS_URL | redis://:redispass@redis-cache:6379/0 | Caches frequently queried successful bid notice data to reduce load on the primary database |
| Database backup cycle | 2:00 AM daily | Ensures compliant backups of bidding and tendering data to meet audit requirements |
Three common misconfigurations
- MongoDB connection error, with authentication failure or access unavailable prompt. Cause: Authentication parameters for
MONGODB_URIare not configured per the storage requirements of bidding and tendering data, or container port mapping errors cause database connection failures. - Delayed data updates, with ledger generation taking longer than expected. Cause: A reasonable
DB_MAX_LINKconnection count is not configured, leading to connection exhaustion during concurrent writes and failure to process daily updated data in a timely manner. - Empty fields or format errors in ledger summaries. Cause: Unified data cleaning rules are not configured for multi-source bidding and tendering documents, leading to mismatched field formats and inability to integrate data normally.
How to confirm proper configuration
- Run the built-in database connectivity test to verify that configurations for
MONGODB_URI,PG_URL, andREDIS_URLare correct, with no authentication or network errors. - Submit a simulated bidding and tendering document to check if data can be written to the database normally and complete the cleaning process.
- View the real-time status of the database connection pool to confirm that the current number of connections does not exceed the configured
DB_MAX_LINKthreshold. - Generate a test ledger to check that structured fields are complete, with no abnormal null values or format 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.