What data for this category looks like
Data for film theater intelligent due diligence reports originates primarily from three sources: the State Film Bureau’s public filing system, theater operation management systems, and third-party film data service interfaces. Update frequencies vary by data type:
- Box office and scheduling data updates daily
- Copyright filing and producer information updates monthly
- Release schedule information updates weekly
The data is structured as a tabular format, with fields including unique film identifier, film title, release schedule, per-cinema average per-person attendance, theater scheduling share, total box office, copyright filing number, full producer name, and additional relevant fields. Supported units include screenings, attendance, ten thousand yuan, and others.
Constraints for HTTP interfaces and external systems
The multi-source nature and timeliness requirements of film theater due diligence data create multiple constraints for HTTP interface and external system integration:
- Differing update frequencies across data sources require configured staggered polling intervals to avoid triggering rate limits from frequent requests.
- The field structure includes nested producer information and multi-dimensional operational data, so interface requests must specify returned fields to reduce invalid data transfer.
- Differing field naming conventions across data sources require unified mapping rules to ensure data consistency for due diligence reports.
- Highly time-sensitive box office and scheduling data require timeout settings for interface requests and data processing aligned with business rhythms to avoid data lag.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
request_interval | 300–600 seconds | Film box office and scheduling data updates daily; this interval avoids triggering third-party interface rate limits |
response_filter | Specify film ID, release schedule, total box office, scheduling share, copyright filing number | Only return core fields required for due diligence reports, reducing data transfer volume and parsing costs |
timeout | 30 seconds | Film data interfaces typically respond quickly; overly long timeouts will block due diligence workflows |
max_retries | 2 retries | Address occasional interface fluctuations; excessive retries increase the risk of triggering rate limits |
field_mapping | Map the box_office field from third-party interfaces to the box office field | Differing field naming exists across data sources; unified mapping ensures data consistency |
auth_type | API Key authentication | Most film data service interfaces use this authentication method, ensuring secure interface access |
The parameter values provided on this page are common starting points for configuration setup. Actual values are influenced by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Scenario: Calls to film data interfaces return 403 Forbidden errors. Cause: API Key authentication parameters matching interface requirements are not configured, or request frequency exceeds the interface’s rate limit threshold.
- Scenario: 404 Not Found errors occur during model testing. Cause: Nested fields returned by third-party interfaces are not correctly extracted, leading to missing core required parameters for requests.
- Scenario: External system pages fail to load normally after deployment. Cause: API request interval is set too short, triggering rate limit bans from third-party interfaces and preventing the service from responding to requests.
How to confirm configurations are correct
- Call the configured HTTP interface and verify that returned fields include core data required for due diligence reports.
- Review interface request logs to confirm actual request intervals match the configured
request_intervalparameter, with no rate limit prompts triggered. - Test data mapping rules to confirm fields from third-party interfaces correctly correspond to preset fields for due diligence reports.
- Simulate the full due diligence workflow to confirm external system pages load normally and return valid data.
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.