What the data for this category looks like
Party building learning data for the fertilizer and pesticide industry is primarily sourced from internal enterprise party building ledgers, shared documents from the chemical industry party building alliance, and learning records from production teams. The data structure includes three parts: original policy documents, key interpretation points, and post-adaptation cases. It contains fields such as publishing entity, applicable production scenarios, and required learning duration.
Applicable production scenarios cover positions including fertilizer production, pesticide quality inspection, and agricultural supplies distribution. Document content combines industry production safety regulations and party building learning requirements. Core policy documents are updated alongside national party building requirements. Daily post-specific learning cases are updated monthly. Most individual documents are approximately 1,000 words in length, with no overly long integrated content.
What constraints these characteristics impose on forms and interactions
The post-adaptation field in the data requires form interactions to support filtering questions by production scenario, to avoid irrelevant content disrupting learning. The modular document structure requires interactions to support retrieving corresponding fragments on demand, to prevent interface overload from loading too much content at once.
Differences in update frequencies require form data source configurations to support scheduled synchronization, so the latest learning cases can be obtained without manual refresh. The publishing entity and document number in metadata require the interaction interface to display associated policy traceability information, to meet the normative requirements of party building learning.
In addition, there are many industry-specific terms, so the question matching logic of the form must adapt to professional vocabulary to improve Q&A accuracy.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Configure as pre-labeled input, with optional values: fertilizer production post, pesticide quality inspection post, agricultural supplies distribution post | Match the applicable post field in the data, to limit the production scenario for Q&A matching |
userSelect | Set as a single-select component, with options: original policy documents, key interpretation points, post-adaptation cases | Correspond to the data document structure, to support users retrieving corresponding content on demand |
| Data source synchronization cycle | Once per month | Match the update frequency of daily learning cases, to ensure the timeliness of form content |
| Content loading limit | 800–1200 characters | Adapt to the average length of individual key interpretation points, to avoid overloading the interaction interface |
| Response timeout | 60 seconds | Ensure the loading response speed for post cases that include production details |
| Post association matching | Bind document metadata by post label | Combine the post-adaptation field in the data, to narrow the Q&A matching scope |
Three common configuration mistakes
- Phenomenon: Only 2 optional post labels are displayed in the form, and all preset posts cannot be selected. Cause: In FastGPT v4.17.0, the option configuration for
formInputdoes not adapt to the new cache logic, and the number of options configured in the old version exceeds the current default limit. - Phenomenon: No relevant party building content is returned after submitting a Q&A, and the result is empty. Cause: No association rule between post labels and document metadata is configured, causing the matching scope to exceed the production scenarios covered by the data.
- Phenomenon: The form page lags when entering text during local deployment. Cause: The number of document fragments loaded at one time is not restricted in node configuration, and a large amount of data rendering at the same time causes interface blocking.
How to confirm the configuration is complete
- Enter the form configuration interface, check whether the optional post labels for
formInputinclude the three preset production posts. - Select different content type options, verify that the form only loads corresponding categories of party building document fragments.
- Simulate submitting a question with a post label, confirm that the returned result includes matching post-adaptation cases.
- View the data source synchronization log, confirm that the most recent synchronization completion time matches the preset once-per-month cycle.
The values listed here are common starting points, and should be evaluated against the applicable 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.