What data for this category looks like
Optoelectronics industry research report data mainly comes from brokerage research institute industry reports, public disclosure documents of listed companies, statistical data from industry associations, and professional exhibition materials. There are three update schedules: regular industry reports are updated weekly, research reports related to listed companies are updated synchronously with quarterly earnings releases, and event-driven research reports are updated in real time as panel prices and production capacity change.
The document structure includes industry overview, core indicator data tables, upstream and downstream industrial chain analysis, corporate valuation modules, and risk warnings. Fields cover publishing institution, release time, covered enterprise names, core product parameters, market size related values, and more. Units include industry-specific units such as GW, yuan/square meter, millimeter, and others.
What constraints these characteristics impose on HTTP interfaces and external systems
The multi-data source and multi-type update rhythm of optoelectronics industry research reports require external systems to adapt to different synchronization cycles. The long document structure and industry-specific fields require interfaces to support filtering retrieval scope by specific fields, while retaining original terms without forced standardization.
When pulling industrial chain data tables in batches, scenarios with large single-batch data volume must be handled, so interfaces must support pagination parameters. In addition, the requirement for cross-user session isolation requires interface calls to be bound with a unique user identifier to avoid cross-mixing of session data from different external system users.
How to Configure Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
api_key | Generate independent keys per application | Used to distinguish call permissions for different external systems, preventing cross-application data leaks |
retrieve_top_k | 10–15 entries | Optoelectronics industry research reports contain a large amount of industrial chain related data, requiring sufficient recalled entries to cover associated information |
similarity_threshold | 0.72–0.80 | Matches industry-specific terms, avoiding recall of irrelevant general electronics category research reports |
sync_interval | 3600 seconds (for earnings report data), 300 seconds (for event-driven data) | Adapts to synchronization requirements for research report data sources with different update frequencies |
api_timeout | 600 seconds | Parsing and retrieval of long individual research reports require a longer timeout period to avoid request interruptions |
filter_by_subject | "Optoelectronics" | Limits the retrieval scope, eliminating redundant data from other electronics subcategories |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: The chat history returned by interface calls does not distinguish between users, resulting in cross-user data leaks. Cause: The
user_idparameter is not configured to bind the session, only the globalapi_keyis used to initiate requests, and sessions are not isolated per user. - Phenomenon: Research report data returned by the interface includes content from non-optoelectronics categories. Cause: The
filter_by_subjectparameter is not set or configured incorrectly, and the retrieval scope is not limited. - Phenomenon: Timeout errors occur when pulling research reports in batches. Cause: The
api_timeoutparameter is not adjusted to the threshold suitable for long document parsing, and the short timeout configuration for general electronics categories is used instead.
How to Verify Correct Configuration
- A single-user call request is initiated with a unique
user_idparameter, and the returned session history is verified to only include interaction records for that user. - The retrieval interface is called, with the
filter_by_subjectparameter set to "Optoelectronics", and the returned results are validated to have titles or topics containing optoelectronics-related terms. - A long document parsing request is submitted, and confirmation is made that the request returns complete results within the time period configured by
api_timeout, with no timeout errors. - Calls are initiated using different
user_idvalues, and each user's session history is verified to be isolated from others, with no cross-mixed data.
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.