What the data for this category looks like
Data sources for film theater industry research reports include theater operation systems, public industry research reports, official disclosure documents from film studios, and public APIs from third-party film data services. Update rhythms vary. Scheduling-related data updates daily. Box office data generates real-time snapshots. In-depth industry reports update weekly or monthly. The document structure of a single research report includes modules for basic film information, scheduling data, competitor comparison, and market forecast. Fields include film name, release window, scheduled screenings, average per-venue audience count, box office revenue, and revenue sharing ratio. Corresponding units are screenings, audience count, and general currency units respectively.
What constraints these characteristics impose on deployment and upgrade
Multi-source data access requires adaptation to different API formats and document structures. During deployment, configure dedicated parsing rules for each data source to avoid data import errors. Data sources with different update frequencies require matching synchronization strategies. Pulling full high-frequency scheduling data wastes server resources. During upgrades, retain existing incremental synchronization scheduling configurations to prevent synchronization rules from being reset during version updates. Film research reports have a large number of fields and detailed business parameters. During deployment, configure custom field mappings to avoid loss of core fields during import. For scheduling data links with high real-time requirements, verify synchronization validity separately after upgrades to prevent interruptions to core business data updates.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Film theater research reports include multi-page tables and long-text analysis. Parsing time is longer than general documents. 300 seconds covers the full parsing process |
maxContext | 8000–12000 characters | Scheduling, box office, and competitor information in film research reports have strong contextual associations. Longer context retains complete logical connections |
RECALL_TOP_N | Top 8 entries | Core reference information in film research reports is scattered across scheduling, box office, competitor analysis, and other sections. Recalling 8 entries covers major analysis basis and avoids missing key information |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single large-scale film industry research reports typically have large file sizes. Raising the upload upper limit supports complete document import |
SYNC_INCREMENTAL_INTERVAL | 15 minutes | Scheduling data requires frequent updates, while industry reports are updated weekly. 15-minute incremental synchronization balances resource usage and real-time performance |
AUTO_SYNC_ENABLED | Enabled | Film research reports require regular synchronization of third-party API data. Enabling automatic synchronization reduces manual maintenance costs |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Deployment via docker-compose fails to start. Logs display the
port 3000 occupiederror. Cause: Local processes occupying port 3000 were not closed in advance, or the default port configuration was not modified in docker-compose.yml. - Phenomenon: The deployed service does not reflect code changes, and page updates are not visible. Cause: Modified local code was not synchronized to the mount directory of the deployment server, or the service was not restarted to load new code.
- Phenomenon: After upgrading to v4.9.7, the knowledge base cannot support continuous questioning, and the second question provides irrelevant answers. Cause: The association rules between
maxContextand context recall were not reconfigured after the upgrade, or the context reuse switch was not enabled. As a result, new questions cannot be associated with historical conversation information.
How to Confirm Configuration Is Correct
- Upload a film theater research report document. Check if the parsed text fully includes core fields such as film name and scheduling data. Verify that parsing time matches the preset
PARSE_FILE_TIMEOUT_SECONDSconfiguration. - After configuring the automatic synchronization task, wait one synchronization cycle. Check if the latest data from the data source has been synchronized to the knowledge base, and confirm that the incremental synchronization link is working properly.
- Initiate two consecutive questions. First, ask about the scheduling of a specific film. Second, ask about the competitor information of that film during the same period. Check if the answer associates with the film information from the first question.
- View deployment service logs. Confirm there are no
PARSE_FILE_TIMEOUTrelated errors, and no port configuration conflicts.
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.