What the data for this category looks like
Data for cultural and entertainment products financing daily reports comes from public disclosure announcements of the National Equities Exchange and Quotations, local equity trading centers, and financing columns of industry vertical media. Updates run daily on workdays and are paused on non-workdays. Each single record contains seven core fields: target name, main business, financing round, financing amount, investor, disclosure time, and disclosure media. The financing amount field primarily uses ten thousand yuan as the unit, with some large financings marked in hundred million yuan. Financing rounds include Angel, Pre-A, Series A, strategic investment, and other types. Main business is clearly labeled as cultural and entertainment related categories such as trend toys, stationery, board games, and cultural and creative peripherals.
What constraints these characteristics impose on deployment and upgrade
Pulling data from multiple channels requires configuring multi-source synchronization parameters to avoid data loss caused by single source outages. The daily update rhythm requires scheduled task intervals to strictly match natural days to prevent synchronization delays or repeated data pulls. Inconsistent fields and units require configuring field mapping and unit conversion rules to ensure consistent parsed data formats. The category restriction requirement requires configuring recall filtering rules to exclude non-cultural and entertainment product financing records and improve data accuracy. The single-record length characteristic requires adjusting the maximum content parsing length parameter to avoid truncation of key information.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SYNC_INTERVAL | 86400 seconds | Matches the daily update rhythm of cultural and entertainment products financing daily reports to ensure pulling the latest data each day |
FINANCE_AMOUNT_UNIT_CONVERT | automatically convert ten thousand yuan to hundred million yuan | Most disclosure records use ten thousand yuan as the unit; unifying units simplifies subsequent analysis logic |
DOCUMENT_FIELD_MAPPING | target name:title,financing round:round,financing amount:amount | Matches the standard field structure of the daily report to ensure parsed data can be correctly recognized by the platform |
PARSE_CONTENT_MAX_LENGTH | 1800 characters | Adapts to the conventional length of single financing record details to avoid truncation of key information |
RECALL_CATEGORY_FILTER | ["trend toys","stationery","board games","cultural and creative peripherals"] | Limits recall scope to cultural and entertainment product categories to exclude unrelated financing records |
ONEAPI_BASE_URL | http://your-oneapi-domain/v1 | Standard path for connecting third-party inference interfaces, compatible with most model calling specifications |
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 the configuration.
Three common errors
- Phenomenon: After modifying
ONEAPI_BASE_URL, the platform model list does not display, and the API call returns403 Forbidden. Cause: The key permission of theMODEL_API_KEYconfiguration item was not updated synchronously, or the container was not restarted to make the new configuration take effect. - Phenomenon: A port occupation error occurs when running
docker run --gpus all -itd -p 7231:7231to pull themarker_images:v0.1image. Cause: The host machine's port 7231 is already occupied by other processes, and port availability was not verified in advance. - Phenomenon: The system cannot initiate a conversation, and the interface displays the prompt "No valid key configured". Cause: No valid key was entered in the
MODEL_API_KEYconfiguration item, or the key does not have permission to call the corresponding data interface.
How to confirm configuration is complete
- View scheduled task logs to confirm that the synchronization task is triggered daily and there are no error records of failed data pulls.
- Randomly select a piece of public cultural and entertainment products financing daily report data, upload it to the platform for parsing test, and confirm that the parsed fields match the preset mapping.
- Call the model inference API to verify that the returned results only include financing information of the restricted category, with no records of unrelated categories mixed in.
- Check the container running status to confirm that the running duration of all associated services exceeds the configured synchronization interval, and there are no abnormal exits.
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.