What the Data for This Category Looks Like
Film theater financing daily report data is primarily sourced from the National Film Bureau filing and publicity platform, theater project reporting systems, and public industry information channels. Data is updated daily, covering full industry film project financing updates from the previous day. The structure of a single data entry includes fields such as project name, production entity, financing amount, financing round, cooperating theaters, planned release schedule, and core creative team list. Financing amount is measured in ten thousand yuan. The schedule field uses the YYYY-MM-DD format. Both production entity and cooperating theater use full enterprise names. The core creative team field includes name and position information.
What Constraints These Characteristics Impose on Model Access and Configuration
The daily update rhythm requires that the scheduled task trigger cycle for model calls aligns with the daily report update rhythm to avoid data omission or duplicate processing. The multi-field, fixed-format structure requires configuring field validation rules to ensure the schedule extracted by the model conforms to the YYYY-MM-DD standard and that the financing amount unit is uniformly ten thousand yuan. The presence of full enterprise names and entity fields requires configuring entity recall thresholds to avoid confusing enterprises with similar names. The wide variation in text length of single data entries requires configuring a reasonable context segmentation range to adapt to the model's input length limits and prevent key information from being truncated.
How to Set the Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
scheduleTriggerInterval | 86400 seconds | Matches the daily update rhythm of film theater financing daily reports, ensuring only one data processing task is triggered per day |
maxContext | 800–1200 characters | Adapts to the text length range of single entries in film theater financing daily reports, avoiding truncation of key information |
entityRecallThreshold | 0.85–0.9 | Accurately identifies entity fields such as full enterprise names and cooperating theaters, balancing accuracy and recall of entity recalls |
fieldValidationSwitch | Enabled | Filters extraction results that do not meet format requirements, ensuring the financing amount unit is uniformly ten thousand yuan and the schedule format conforms to the YYYY-MM-DD standard |
apiRequestTimeout | 300 seconds | Reserves sufficient time for model calls and data parsing, avoiding timeout interruptions during batch processing |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After the model mapping configuration is saved, the call still returns the default model response. Cause: The API endpoint and key of the custom model are not correctly bound, or the mapping configuration is not associated with the target module of the current application.
- Phenomenon: Calling the specified model returns a
401 Unauthorizederror. Cause: The configured API key does not have permission to call the corresponding model, or the local model image does not correctly expose the API port. - Phenomenon: After the business system is connected, chat records of different users are not isolated, and session confusion occurs. Cause: The
userIdentifierparameter is not configured, and the unique user identifier of the business system is not passed to the model call interface.
How to Confirm the Configuration is Complete
- View the scheduled task execution logs to confirm that the trigger interval matches the daily report update rhythm. Adjust the corresponding configuration item until the expected match is achieved.
- Submit a single test financing daily report data entry to verify that the fields extracted by the model conform to the preset format. Adjust field validation and entity recall related configurations until the results are compliant.
- Call different model endpoints and pass the corresponding keys to verify that the model call response is normal. Troubleshoot issues related to timeouts and mapping configurations.
- Pass simulated unique user identifiers to confirm that session records are stored classified by identifier. Adjust the user identifier passing logic until it meets the requirements.
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.