What the data for this use case looks like
Data for party building learning Q&A in the iron and steel smelting field mainly comes from internal party building ledgers of steel mills, daily study records of party members, policy documents and learning materials issued by superior party committees. The data update rhythm is weekly synchronization of internal study updates, and monthly updates of official documents released by superior party committees. The structure of a single document includes fields such as document number, issuing unit, release date, study topic, list of attendees, and attendance records. Most field units are items, people, and minutes. The size of a single document mostly falls within the 100–500 MB range.
What constraints do these characteristics impose on the conversation logs and auditing link
The data characteristics of party building learning Q&A in iron and steel smelting scenarios impose multi-dimensional constraints on the conversation logs and auditing link. First, single documents have large volume, so log storage must support splitting storage units by chatId to avoid overloading single log entries. Second, the data includes multi-dimensional associated fields, so auditing processes must simultaneously record metadata such as the document number and release date associated with the conversation to ensure traceability. Third, the data update frequency is relatively high, so log synchronization must match the weekly and monthly update nodes to avoid missing content during auditing. In addition, party building data in iron and steel smelting scenarios has differences in post permissions, so logs must filter the visible range by role.
Configuration settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind party member employee ID + session timestamp | Ensure each party building learning session has a unique identifier to facilitate subsequent auditing and traceability |
responseChatItemId | Associate the unique ID of the corresponding party building document | Match the document number field in the data to achieve precise association between conversations and learning materials |
detail | Enable full recording | Fully save all content such as questions, replies, and metadata in the conversation to meet auditing requirements |
| Log storage period | 180 days | Meet the conventional retention period requirements for state-owned enterprise party building audits |
| Permission filtering rules | Divide visible scope by post roles | Match the differences in post permissions in iron and steel smelting scenarios to avoid unauthorized access |
| Synchronization trigger nodes | Trigger according to weekly and monthly update nodes | Match the data update rhythm to ensure that audit content is always synchronized with the latest materials |
Three common mistakes to avoid
- After adding the party building Q&A plugin to the workflow, the input and output parameters do not display. The cause is that the full log configuration of the
detailparameter is not enabled, resulting in failure to properly load plugin metadata. - After Docker deployment, the page fails to load and displays a loading spinner indefinitely. The cause is that the disk space of the log storage path is not correctly configured, resulting in failed log writing and inability to load the page normally.
- After sending a party building Q&A message via Feishu bot, no corresponding record appears in FastGPT logs. The cause is that
chatIdis not bound to the Feishu user account, resulting in failure to correctly match the session to the corresponding log entry.
How to confirm the configuration is correct
- View the session list to confirm that each session has a unique
chatIdidentifier. - Enter the auditing page to verify that a single conversation can be associated with the corresponding party building document ID.
- Log in with accounts of different post permissions to confirm that only conversation logs within the corresponding scope can be viewed.
- Trigger a party building Q&A session to check whether the question, reply, and associated metadata are fully saved in the log.
The values provided here are common starting points and should be evaluated against the user’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.