What This Category’s Data Looks Like
Data sources for film and theater industry intelligent due diligence reports include annual theater operation reports, copyright license contracts, box office settlement details, theater scheduling plans, industry filing documents, and more. Update frequency varies significantly by document type. Box office reports update weekly or monthly. Copyright contracts only update when terms change during the project lifecycle. Scheduling plans adjust daily. Most documents are mixed-format PDFs. They contain structured tables, long-form text analysis, embedded charts, and scanned attachments. Fields include box office amounts, scheduling show counts, copyright terms, qualification numbers, and more. Some documents include multilingual or Traditional Chinese content.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking?
The mixed-format nature of film and theater due diligence documents requires parsing tools to support both native PDF layout extraction and scanned document OCR. This avoids losing associated table and chart information. A high share of documents are large in volume and have multiple pages. This raises higher requirements for parsing timeout thresholds and upload limits. Specific business fields have strong correlations. Chunking must retain contextual associations. Critical units cannot be split arbitrarily. Frequently updated scheduling plan documents require fast parsing. This avoids delaying due diligence progress due to processing delays.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Film and theater due diligence reports often contain hundreds of pages of operation and contract documents. Single-file parsing takes a long time, and the default timeout is insufficient to cover the full parsing process |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Adapts to the volume limit of a single annual theater operation report, preventing large file uploads from being blocked |
maxChunkSize | 800–1200 characters | Balances text integrity and recall efficiency, avoiding splitting critical business units containing box office data or copyright terms |
chunkOverlap | 150–200 characters | Retains associated field information across chunks, such as copyright numbers and box office cycles, preventing contextual breaks during recall |
PARSE_ENGINE | pdf-marker + doc2x hybrid mode | Use pdf-marker for native PDFs to retain layout details; use doc2x for settlement documents with dense tables to optimize structured parsing |
CHUNK_DUPLICATE_THRESHOLD | 0.85 | Filters duplicate scheduling plan and contract clause fragments, reducing the proportion of redundant chunks |
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 local samples before finalizing settings.
Three Common Misconfigurations
- Integrating pdf-marker leads to persistent waiting for large file parsing results. Parsing eventually triggers a timeout. Phenomenon: The task status remains "parsing" until timeout failure. Cause: No queued parsing mechanism is configured. Large file parsing occupies system resources, blocking subsequent tasks. The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted to adapt to long-duration scenarios. - Calling doc2x to parse hundreds of pages of PDFs results in errors. Only dozens of pages complete successfully. Phenomenon: The interface returns a 504 status code or a parsing failure prompt. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. Large file parsing time exceeds the default threshold, triggering a timeout. - After locally deploying pdf-marker, the calling page reports an error: Cannot read properties of undefined (reading 'xxx'). Phenomenon: This error appears in the front-end console, and parsing tasks are unresponsive. Cause: The locally deployed pdf-marker version is incompatible with FastGPT 4.9.0, with missing dependency packages or incorrect interface path configuration.
How to Confirm the Configuration Is Correctly Set
- Upload a typical film and theater due diligence PDF file. Check the parsing task's duration log. Confirm that the
PARSE_FILE_TIMEOUT_SECONDSsetting covers the file's actual parsing duration. - View the chunking result preview interface. Verify that critical business fields such as box office values and copyright terms are fully retained in a single chunk or adjacent chunks. Validate the rationality of the
maxChunkSizeandchunkOverlapconfigurations. - Enter a query related to film and theater due diligence. Check the number and coverage of recalled chunks. Adjust
CHUNK_DUPLICATE_THRESHOLDandRECALL_TOP_Kto values that meet business requirements. - Test the connectivity of the locally deployed parsing engine interface. Confirm there are no console errors. Verify that the
PARSE_ENGINEhybrid configuration is effective.
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.