What the data for this category looks like
Financial report data for the cultural and entertainment products category is primarily sourced from periodic reports and official announcements of listed companies disclosed by domestic and overseas stock exchanges. Data updates are tied to disclosure cycles, with concentrated updates occurring quarterly, semi-annually, and annually. The structure of a single financial report document includes fields such as breakdown of main business segments, revenue scale, raw material procurement costs, channel sales proportion, inventory balance, and R&D investment. The core measurement units are Renminbi yuan and ten thousand yuan; some overseas disclosure documents include supplementary data denominated in foreign currencies.
What constraints do these characteristics impose on multi-turn dialogue and prompting
The multi-cycle disclosure and multi-sub-category structure of cultural and entertainment products financial reports requires multi-turn dialogue to retain field mapping relationships across different reporting periods, to avoid mixing data from different cycles. The feature of multiple sub-categories requires prompts to clearly define the range of financial report fields corresponding to the sub-category the user is inquiring about, to prevent the model from calling data from irrelevant segments. The concentrated update rhythm requires conversation context to support quick switching of reporting period dimensions, while prompts need to mark the disclosure period corresponding to each field to ensure accurate data matching.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single cultural and entertainment products financial report documents have relatively long length, and multi-turn dialogue needs to retain context-related information for multiple reporting periods |
RECALL_TOP_K | Top 6–8 entries | Cultural and entertainment products financial reports include multiple sub-categories and multi-dimensional fields, requiring sufficient relevant segments to be recalled while avoiding redundancy |
UPLOAD_FILE_MAX_SIZE | 50 MB | Single annual financial report documents typically fall within the 20–40 MB range, with reasonable upload headroom reserved |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Text parsing and structured processing of long financial report documents require longer processing durations |
prompt_template | For the specified cultural and entertainment products sub-category, extract corresponding fields based on the reporting period in the current conversation context | Clearly define the model's extraction scope, and associate reporting period and category information from the conversation context |
CHUNK_SIZE | 1500–2000 characters | Balance content completeness of financial report segments and context relevance, to avoid breaking field logic during segmentation |
The parameter values provided on this page are general recommendations used 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, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Data from different reporting periods is mixed in multi-turn dialogue, such as referencing the same field for both Q1 and annual reports. Cause: The
maxContextcontext window limit is not configured, causing redundant data from old reporting periods to interfere with the current conversation. - Phenomenon: No sub-category fields appear in the parsing result after uploading a financial report file. Cause: The
prompt_templatefor limiting the category extraction scope is not configured, and the model extracts general financial report fields by default. - Phenomenon: Uploaded files in the dialogue box never parse, with no error in the backend. Cause:
UPLOAD_FILE_MAX_SIZEis not adjusted to fit the financial report document size, orPARSE_FILE_TIMEOUT_SECONDSis set too short, causing a timeout without triggering an error.
How to confirm the configuration is correct
- Initiate a single-period financial report query for a specified cultural and entertainment products sub-category, verify that the fields returned by the model match the actual content in the document.
- Switch to different reporting periods to initiate queries of the same dimension, verify that the model can correctly associate context data for the corresponding reporting period.
- Upload a financial report file that meets the document size limit, verify that the system can parse normally and return structured content.
- Trigger a conversation interruption operation, verify that the current conversation session can be terminated normally.
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.