What This Category of Data Looks Like
Film and cinema theater yield rate and market trend data primarily comes from theater box office settlement systems, third-party film data service provider APIs, and real-time scheduling and consumption data collected from cinema POS terminals. Data update cadence falls into two categories: Full box office and revenue split data for the previous day is updated each early morning. Real-time per-session audience count and scheduling ratio data is synchronized every hour. Data documents use a structured table format, including fields such as unique film identifier, unique cinema identifier, screening time slot, box office revenue, audience count, and revenue split costs. Box office revenue and revenue split costs are measured in ten thousand yuan, while audience count is measured in individual visits.
What Constraints Do These Characteristics Place on Dialog Logging and Auditing
Film and cinema theater data sources are scattered and have significantly different update cadences. This requires that dialog logs must fully record the data source identifier and timestamp associated with each request, to avoid confusing real-time and historical data. There are many structured fields with strong business relevance. During audits, it is necessary to verify the field consistency between request parameters, original returned data, and final broadcast content, to prevent audit failure caused by missing or mismatched fields. Since some data is updated in real time, relying on historical splicing for dialog context may introduce expired data. Therefore, it is necessary to strictly distinguish between actively passed context and automatically spliced historical dialogs, to ensure that the timeliness of data sources can be traced during audits. Additionally, audits for theater operation scenarios require retaining complete request links, including API call parameters, returned raw data, and generated broadcast text, to enable subsequent verification of the accuracy of yield rate calculation logic.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
api_context_mode | Specify passed context | Compatible with v4.8.10 and above versions. Film and cinema data volume is large, so there is no need to splice historical dialogs, only pass the specified yield rate data source context through API parameters |
log_save_path | /data/fastgpt/logs/film_cinema/ | Store logs categorized by business line, to enable quick retrieval of operation records for this category during subsequent audits |
maxContext | 0 | Disable historical dialog context splicing, only use context parameters passed in the current request, to avoid mixing expired data into dialog content |
log_retention_days | 90 days | Complies with general retention period requirements for financial-related audits, to facilitate cross-cycle verification of business logic |
api_timeout | 30 seconds | Matches the average response time of theater data source interfaces, to prevent dialog failures or missing logs caused by timeouts |
field_whitelist | ["film_id", "cinema_id", "box_office", "viewers", "share_cost"] | Only record core audit fields, reduce log volume while retaining all key information required for business verification |
The parameter values provided on this page are common recommended 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: When calling the dialog API, the context recorded in the log is automatically spliced historical dialogs, and does not include the actively passed yield rate data source content. Cause:
api_context_modeis not correctly configured to the specified passing mode, and the default historical context splicing logic is still used. - Phenomenon: The returned content displayed on the dialog details page does not match the actual generated theater yield rate broadcast content, and some fields are missing. Cause: Complete log recording is not enabled, only some simplified fields are saved, and complete data returned by the original data source is not recorded.
- Phenomenon: During audits, it is impossible to distinguish whether real-time daily data or previous day's historical data is used in the dialog. Cause: No configuration is made to record the update timestamp of the data source in the log, making it impossible to verify the timeliness of the data.
How to Confirm Configuration Is Complete
- A dialog API call including the specified
film_idandcinema_idis initiated, and the log file is checked to confirm if thecontextfield content from the request parameters is fully recorded. - The directory specified by
log_save_pathis checked, confirming that date-named log subdirectories exist, and that log file names include a uniquerequest_idand call timestamp. - 3 or more log records are randomly selected, and fields such as
box_officeandviewersare verified to match the content returned by the original data source. - Multiple calls to the interface for different film IDs are verified, confirming that the
field_whitelistfields recorded in the logs have no omissions or mismatches.
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.