What the data for this category looks like
Data sources include central and local official Party building publications, latest policy interpretation documents, and internal standardized study question banks. Update rhythm adjusts dynamically with superior policy releases and quarterly study plans. Each entry is a standardized Q&A item with four core fields: question text, standard answer, associated theoretical topic, and release date. Single entry length ranges from 300 to 1500 characters. No extra unstructured attachments are included.
What constraints these characteristics impose on the "Sharing and Embedding" workflow
Standardized Q&A structure requires retaining meta fields such as associated theoretical topic and release date during embedding. Otherwise, the authority and relevance of study content cannot be demonstrated. Dynamic update rhythm requires shared links or embedded code to support real-time synchronization of the latest question bank. This prevents embedded content from lagging behind policy updates. The internal control attribute of Party building study content requires the embedding link to support association with user identities of business systems. It must also be compatible with login-free window calls across different kernel browsers. Otherwise, access interception or errors may occur.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
shareId | Unique identifier for the Party building learning application | Used to generate exclusive shared links and embedded code, ensuring correct association with the theoretical study question bank |
| Shared link validity period | 7 days | Adapts to the quarterly update rhythm of Party building learning, avoiding long-term failure that disrupts study access |
| Embedded window height | 600–800 pixels | Adapts to the display length of single Q&A content, preventing content truncation or excessive blank space |
| Identity association method | Business system token forwarding | Complies with internal control requirements for Party building content, enabling binding between user identities and the FastGPT platform |
| Automatic sync toggle | Enabled | Matches the dynamic question bank update rhythm tied to policy changes, ensuring embedded content always uses the latest version |
| Error retry count | 3 times | Addresses access failures caused by network fluctuations, improving the stability of the embedded function |
Three common misconfigurations
- The login-free window fails to load in Trident kernel browsers. The interface displays "Failed to load resource" or status code 403. The root cause is missing cross-domain rules for embedded scripts compatible with Trident kernel. This triggers browser security policy blocks on requests.
- Business system users cannot access Party building learning content after embedding. Q&A results return empty. The root cause is missing identity association logic for business system token forwarding. FastGPT cannot verify the user's internal access permissions.
- Q&A content in the embedded window displays incompletely, with truncation or abnormal scroll bars. The root cause is mismatched embedded window height settings. The setting does not adapt to the content length range of single Q&A entries.
How to verify a successful configuration
- Call the shared link corresponding to
shareId. Open it in Chrome and Trident kernel browsers separately. Confirm the page loads without errors. - Simulate a business system user to send a Q&A request. Confirm returned results include associated theoretical topics and release date metadata.
- Publish a new Party building learning Q&A entry. Wait 10 minutes, then refresh the embedded page. Confirm the new content displays synchronously.
- Disconnect the business system's token forwarding configuration. Confirm the embedded page prompts unauthorized access. This verifies the identity association logic is active.
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.