What this category of data looks like
Data for this category primarily comes from publicly disclosed defense industry reports, defense industry index service platforms, and official announcements of defense industry groups. Update rhythms fall into two categories. Quarterly, semi-annual, and annual operating data is updated according to the corresponding disclosure cycle. Daily market data is updated according to trading days. Each individual data document includes fields such as equipment model, production batch, revenue scale, unit cost, and delivery cycle. The unit of revenue scale is ten thousand yuan. The unit of unit cost is ten thousand yuan per unit. The unit of delivery cycle is calendar days. No percentage-based statistical fields are set.
What constraints these characteristics impose on sharing and embedding
The update rhythm of data for this category has layered characteristics. Cache configuration after embedding must match the update cycle of the corresponding data. Otherwise, data lag or repeated pulling will occur. Each individual data entry includes multiple fields with different units. The rendering logic of the embedded front end must adapt to multi-field layout to avoid information errors caused by unit confusion. Pulling publicly disclosed data must match fixed disclosure time nodes. Scheduled pulling tasks must adjust their trigger timing to avoid pulling invalid data outside the disclosure cycle. At the same time, data calls must comply with public information access rules. Incorrect call configuration will trigger access blocking.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
cache_expire_seconds | 86400 seconds (daily market data), 7776000 seconds (quarterly financial reports) | Match the update cycle of the corresponding data to avoid data lag or repeated pulling |
api_request_timeout | 30 seconds | Adapt to the response speed of defense industry public data interfaces to avoid request timeout interruptions |
max_retries | 3 times | Address temporary fluctuations in public data interfaces to improve pulling success rate |
embed_allow_image_zoom_outside | Enabled | Allow images in responses to be opened and zoomed outside the iframe to solve the problem of blurry local viewing |
api_rate_limit_per_minute | 10 requests per minute | Match the call frequency limit of public defense industry data platforms to avoid triggering access blocking |
embed_auth_token | Authentication key matching the data source | Complete data source authentication to avoid connection blocked errors |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing the configuration.
Three common mistakes
- When inserting images in the chatbot response after embedding, scaling can only be performed inside the iframe. The viewing area is limited, leading to blurry details. Cause: The
embed_allow_image_zoom_outsideconfiguration item is not enabled, and image scaling is restricted within the iframe container. - After modifying the embedded front-end code, the page console displays "Connection blocked because it was initiated by a public page and intended to connect to a device or server on the local network". Cause: The
embed_auth_tokenauthentication parameter is not configured, or the authentication key does not match the data source, resulting in cross-domain access blocking. - After upgrading to version V4.14.7.1, the knowledge base retrieval time increases significantly for the same knowledge base and query. Cause: The
api_request_timeoutparameter is not adjusted to a value adapted to the new version, or thecache_expire_secondsconfiguration is not updated to match the new caching logic.
How to confirm the configuration is correct
- Open the embedded test page, send a query related to defense equipment yield, and verify that the field units of the returned data match the publicly disclosed information of the data source.
- Click the image in the response to confirm that it can be opened in a new browser tab and zoomed normally.
- Check the platform console's API call logs to confirm that the request frequency does not exceed the preset limit, and there are no timeout or retry failure records.
- Wait for a complete data update cycle, and verify that the latest data on the embedded page matches the disclosure time of the data source.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.