Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Data for this category comes from national public resource trading platforms, local trading platforms, engineering approval systems, and bidding and tendering supervision systems. The update frequency is daily. Documents processed daily include bidding announcements, pre-qualification documents, bidding documents, tender documents, bid evaluation reports, successful bid candidate notices, and successful bid result announcements. Data fields include section identification, qualification requirements, bid evaluation expert records, bid results, and more. This data includes both structured tabular data and non-standard text content.
What constraints these characteristics impose on workflow orchestration
Decentralized data sources require configuring multi-source data pull nodes in the workflow. The daily update rhythm requires binding scheduled trigger rules to avoid data lag. Diverse document types require parsing configurations adapted to both structured tables and unstructured text, to ensure correct field extraction from bidding documents and bid evaluation reports of different formats. Full-process field coverage requires the ledger summary link to splice data across bidding, bid evaluation, and successful bid stages. A field verification node must be added to prevent subsequent report generation exceptions caused by missing data.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Scheduled trigger interval | 1440 minutes | Matches the daily data update frequency to ensure the latest ledger is summarized each day |
| Multi-source data association field | Section number | Serves as the core association identifier for bidding and tendering data, ensuring accurate correspondence of ledger data |
| Document parsing mode | Automatic recognition + manual specification | Covers different document types including structured tables and unstructured text |
variables | Section ID, successful bid amount field name | Used to dynamically pass core business parameters in the workflow, adapting to the summary logic for different sections |
| Exception retry count | 3 times | Addresses network fluctuations or temporary interface errors, reducing the probability of workflow interruptions |
| Field verification threshold | Calibrated based on actual testing | Adapts to the field completeness requirements of different projects, avoiding misjudgment of valid data |
Three common configuration mistakes
- When calling the API to obtain MCP tool invocation logs during workflow execution, the logs are empty. The cause is that the log output switch was not enabled in the tool node specified by
nodeId. - A locally deployed code running component reports an error when executing simple code. The cause is that the deployment environment was not configured with the base image required for the corresponding runtime dependencies, and this is unrelated to the code itself.
- Knowledge base retrieval does not filter results by tags. The cause is that the tag matching configuration was not enabled in the retrieval node, and document tags were not correctly bound during knowledge base import.
How to confirm the configuration is correct
- Manually trigger the workflow, check if the multi-source data pull node returns bidding documents from the corresponding platforms, and verify that the data update time matches the current day.
- Run the ledger summary link, confirm that the generated ledger associates fields from the bidding, bid evaluation, and successful bid stages by section number.
- Trigger the exception retry logic, simulate an interface timeout scenario, and confirm that the workflow completes normally after retrying the set number of times.
- After enabling the tag filtering configuration, retrieve knowledge base content and confirm that only document entries with the specified tags are returned.
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.