What the data for this category looks like
This category’s data is primarily sourced from the national public resource trading platform, local public resource trading platforms, project approval systems, and bidding supervision systems. The update frequency is daily. Commonly processed documents include bidding announcements, qualification pre-qualification documents, bidding documents, tender documents, bid evaluation reports, public notices of successful bid candidates, and successful bid result announcements. Most document structures include fields such as bid section division, qualification requirements, bill of quantities, and construction period. Some documents take the form of multi-column tables for bills of quantities or qualification review tables.
What constraints these characteristics impose during deployment and upgrade
This category of data is updated daily and sourced from multiple scattered locations. A stable database connection must be configured during deployment to support high-frequency synchronization. Documents include multi-column table-style bills of quantities and qualification review tables, so logic for reading and chunking table data must be adapted. Since document errors can lead to project suspension or accountability, the upgrade phase must support complete data backup and rollback mechanisms. The presence of specific fields such as bid sections, qualification requirements, and construction periods requires the knowledge base to be configured with chunking rules that match the business scenario, to avoid semantic splitting confusion.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://fastgpt:pass123@db-host:27017/fastgpt_db?authSource=admin | Connect to the storage database for bidding documents of this category, specify the correct authentication source and database name, and comply with the database connection specifications of FastGPT v4.17.0 |
DB_MAX_LINK | 25–35 connections | This category of data is updated daily at high frequency. The number of database connections must be controlled to avoid resource exhaustion, and the connection upper limit is calibrated based on actual testing |
STORAGE_S3_ENDPOINT | http://local-storage:9000 (intranet without external network environment) or the corresponding cloud storage service endpoint | Store attachments and structured data of bidding documents, and adapt to the storage needs of multi-source documents of this category |
REDIS_URL | redis://:redis-pass@redis-host:6379/0 | Cache frequently accessed bidding document metadata, reduce database read and write pressure, and support daily updated synchronization tasks |
FILE_TOKEN_KEY | Randomly generated 32-bit string | Configure the token key for document access, ensure access security of sensitive bidding documents, and comply with compliance requirements for public service scenarios |
ROOT_KEY | Custom high-strength random string | Configure the system administrator permission key, ensure operational security of bidding document management, and comply with permission requirements for public service scenarios |
Three common errors
- Symptom: Dependency download failure with status code 404 occurs when performing a version upgrade in an offline environment. Cause: No local mirror source or offline upgrade package is configured, and failure occurs when directly attempting to pull public network mirrors.
- Symptom: After upgrading from v4.6.7 to v4.6.8, system access shows login failure with the prompt "invalid administrator key". Cause: The
ROOT_KEYconfiguration was not backed up correctly or was overwritten during the upgrade process, causing the administrator key in the database to not match the new configuration. - Symptom: After importing an XLSX file with a multi-column bill of quantities, RAG retrieval results show semantic splitting confusion, with a single bid section information split into multiple unrelated fragments. Cause: No dedicated chunking rule was configured for table documents, and the default automatic chunking logic caused column data to be incorrectly split.
How to confirm the configuration is complete
- Run a database connection test to confirm that the
MONGODB_URIandREDIS_URLconfigurations can establish normal connections without timeout errors. - Upload a local bidding announcement document to verify that the document parsing function can normally extract text and table content without field loss.
- Trigger a daily synchronization task to confirm that data can be synchronized from the specified public resource trading platform to the knowledge base, with no synchronization failure logs.
- Attempt to log in to the system using the administrator key to confirm that the
ROOT_KEYconfiguration takes effect, and the management backend can be accessed normally.
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.