What This Category of Data Looks Like
Data for film theater research reports comes primarily from theater operation systems, publicly available broadcasting and television industry monitoring platforms, and public reports from professional industry consulting firms. Data update rhythms fall into three categories: real-time box office and daily scheduling data is updated daily, monthly schedule analysis data is synchronized weekly, and in-depth industry research reports are released quarterly. Documents mostly use structured tables, with fields including unique film ID, theater name, screening sessions, per-session box office, viewer count, schedule cycle, and more. Box office is measured in ten thousand yuan, viewer count in person-times, and sessions in individual screenings. Some research reports also include unstructured image materials such as film posters.
Constraints on HTTP Interfaces and External Systems
The multi-source update rhythms and mixed structure of film theater research report data create multiple constraints for HTTP interfaces and external systems. High-frequency updates of real-time box office and scheduling data require interfaces to support low-latency calls, and reasonable cache expiration times must be configured to avoid returning outdated data. Structured fields include numerical data with clear units. When integrating external systems, unit conversion logic must be standardized to prevent magnitude errors in displayed data. The mix of structured and unstructured document content requires interfaces to support both structured data queries and unstructured document parsing. Some scenarios also need image parsing capabilities to handle film poster materials included in research reports.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
HTTP_REQUEST_TIMEOUT | 30 seconds | Real-time box office and scheduling interface responses typically complete within 20 seconds. A 30-second timeout covers most normal requests and avoids unnecessary waiting |
RECALL_MAX_RESULTS | Top 20 results | Associated research reports for a single theater film typically do not exceed 15. Recalling 20 results covers all relevant content and avoids omissions |
PARSE_PDF_MAX_SIZE | 50 MB | Theater research report PDF documents typically do not exceed 40 MB. Setting 50 MB covers most scenarios and prevents file truncation |
SQL_QUERY_TIMEOUT | 60 seconds | Multi-table join box office and scheduling statistical queries typically take 30-45 seconds. A 60-second timeout ensures complex queries complete |
MULTIMODAL_SUPPORT | Enabled | Some theater research reports include film poster images. Identifying film information from posters supports precise retrieval |
DATA_CACHE_TTL | Calibrated to data update frequency | Different types of data have different update cycles. Cache expiration times must be set to match the update rhythm of corresponding data sources |
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 testing on self-provided samples should be conducted before finalizing settings.
Three Common Configuration Mistakes
- When executing SQL queries for theater data, some requests succeed while others return
504 Gateway Timeout. This occurs because a reasonable SQL query timeout period is not configured. When multi-table join statistics process large data volumes, requests exceed the threshold and fail. - After passing images attached to research reports via HTTP interfaces, parsing results are empty. This occurs because multimodal parsing configuration is not enabled, or the passed image size exceeds the
PARSE_PDF_MAX_SIZEsetting. - Retrieving theater research reports returns a large amount of irrelevant general film industry content. This occurs because a reasonable similarity threshold is not set, and the recall count configuration is too high, leading to the recall of redundant low-relevance results.
How to Verify Correct Configuration
- An HTTP query request targeting a known theater film is sent. Field units in returned results are checked against preset values, and timeout-related configurations are confirmed to meet business requirements.
- A standard-sized theater research report PDF and attached images are uploaded. Parsing results are checked for core information such as film name and box office data, and file size limit and multimodal configuration are confirmed to be active.
- A multi-table join SQL query is executed. The request is confirmed to complete within the preset timeout period, and cache configuration is verified to match the update frequency of corresponding data.
- A batch recall request is initiated. The number of returned results is checked against the configured recall upper limit, and recall logic is confirmed to operate normally.
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.