What the data for this category looks like
Photovoltaic research report data comes primarily from publicly available research documents published by securities firm research institutes, photovoltaic industry associations, and industrial chain enterprises. Updates trigger based on industry events. High-frequency updates occur when component prices shift, global installation volumes are announced, or new policies launch. Regular quarterly and annual research reports follow fixed release schedules.
Document structure includes an abstract, quantitative analysis of each industrial chain segment (silicon material, silicon wafers, cells, modules, power stations), supply and demand forecasts, policy interpretations, and risk warnings. Core fields include title, release time, publishing institution, core data, and full text. Most units use standard units common to the power and chemical industries.
Constraints for HTTP interfaces and external systems
Photovoltaic research reports have numerous segmented industrial chain fields and highly standardized core data units. Interfaces must support precise filtering by dimensions such as industrial chain segments and release times, to avoid returning off-target research reports.
Documents are typically lengthy; the full text of a single in-depth research report can reach tens of thousands of characters. HTTP interface request timeout and parsing length configurations must adapt to long text processing requirements.
Industry data update frequency is inconsistent. Some high-frequency events trigger multiple updates per day. External system caching strategies must balance data timeliness and interface call costs, and avoid overly long cache periods.
Unit differences across multiple data sources can cause parsing errors. Interfaces must unify unit formats after pulling data, to prevent unit confusion during question answering.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_count | top 10–15 | Photovoltaic research report retrieval results must cover sufficient industrial chain dimensions. This value balances retrieval comprehensiveness and transmission efficiency |
HTTP_REQUEST_TIMEOUT | 120 seconds | Parsing and data retrieval for a single photovoltaic research report takes significant time. This setting reserves sufficient request processing time |
PARSE_TEXT_MAX_LENGTH | 10000–15000 characters | The full text of a single in-depth photovoltaic research report is generally lengthy. This setting adapts to long text parsing requirements |
CACHE_EXPIRE_SECONDS | 1800–3600 seconds | Photovoltaic industry data update frequency is moderate. This cache period balances data timeliness and interface call costs |
RESPONSE_FIELD_WHITELIST | ["title", "publish_time", "core_data", "summary"] | Only returns core fields required for retrieval, reducing redundant data in HTTP transmissions |
EXTERNAL_API_AUTH_TYPE | api_key | Most photovoltaic research report data sources use API key authentication, which aligns with general external interface authentication specifications |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Symptom: Double quotes in JSON data returned by external research report interfaces are escaped as
\". Directly passing this data into a subsequent HTTP request introduces extra backslashes. Cause: No deserialization processing is performed on the JSON data returned by the interface, and it is directly spliced into the request body as a raw string. - Symptom: The
aiPointsNotEnougherror code is returned when calling the model interface. Cause: The context length of photovoltaic research reports is long. Insufficient model context window or token quota is configured, so the content required for complete retrieval and question answering cannot be accommodated. - Symptom: After uploading an XLSX file of photovoltaic research reports, AI conversation cannot be triggered. Cause: The parsing switch for XLSX files is not enabled, or the table structure inside the file does not match preset parsing rules, so the file cannot be correctly identified as a processable data source.
How to verify proper configuration
- Send a simulated retrieval request, check if the returned JSON data contains photovoltaic industrial chain related fields, such as silicon material prices, installation volume data.
- View interface call logs, confirm that the request timeout time matches the configured
HTTP_REQUEST_TIMEOUTvalue, and there are no early disconnects. - Upload an XLSX file of a photovoltaic research report, verify that it can be parsed normally and generate a conversable knowledge base entry.
- Send an external interface request with an invalid API key, confirm that a 401 Unauthorized status code is returned, to verify that the authentication configuration is effective.
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.