What this category’s data looks like
Aviation airport investment research data sources include Civil Aviation Administration public industry reports, airport annual operation reports, monthly flight schedule ledgers, takeoff and landing volume statistics files, and infrastructure planning documents. Update frequencies cover three categories: annual, monthly, and real-time. Annual reports are mostly long-text PDF formats. Monthly ledgers are mostly structured Excel or Feishu multi-dimensional tables. Real-time takeoff and landing data are mostly structured short-text interface files. Document structures mix long-text analysis, structured statistical tables, and scanned archived materials. Fields carry professional units, such as passenger throughput (person-times), takeoff and landing sorties (sorties), and cargo throughput (tons).
What constraints do these characteristics impose on the document parsing and chunking link?
Mixed structured statistical tables and long-text analysis content must retain format association, to avoid separating units from values which would disrupt subsequent retrieval matching. Scanned archived annual reports must extract text via OCR, otherwise a large number of empty fields or garbled characters will occur. Frequently updated monthly ledgers and real-time data must support incremental parsing, to avoid wasting resources from repeated full-document parsing. Multi-source documents have large format differences, so different parsing rules must be adapted to ensure consistent field mapping for Excel tables and chunking logic for PDF long texts.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Annual airport reports are mostly long documents with over 500 pages, the default timeout threshold cannot cover parsing time |
chunk_size | 800–1200 characters | Balance the integrity of aviation professional terminology and retrieval accuracy, avoid splitting phrases such as "passenger throughput" and "takeoff and landing sorties" |
OCR_ENABLED | Enabled | A large number of scanned archived annual reports and flight statistical reports exist, so OCR is required to extract text from images |
PARSE_TABLE_KEEP_FORMAT | Enabled | Structured tables in airport documents must retain the association between fields and units, to prevent retrieval matching failures |
chunk_overlap | 50–80 characters | Retain sufficient context overlap to prevent professional terminology from being split between two chunks |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapt to large-volume files such as full flight data or infrastructure reports |
The parameter values provided on this page are common recommendations for starting point 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.
Three common mistakes
- Phenomenon: Text fields are empty after parsing scanned airport annual reports, and the console returns the "OCR not enabled" prompt. Cause: The
OCR_ENABLEDconfiguration is not enabled, so printed content in scanned images cannot be recognized. - Phenomenon: A
408 Request Timeouterror is returned when uploading an annual airport report with over 500 pages. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration is not adjusted to a reasonable value, and the default timeout threshold cannot cover the parsing time of long documents. - Phenomenon: After importing a Feishu multi-dimensional table, the association between takeoff and landing sorties and the corresponding month fields is lost, and complete data cannot be matched during retrieval. Cause: The
IMPORT_TABLE_FIELD_MAPPINGrule is not configured, and the dedicated field naming specifications for airport documents are not matched.
How to confirm the configuration is correct
- Upload a single scanned airport annual report, check whether the text in the parsing result completely covers the image content, and confirm that the
OCR_ENABLEDconfiguration is enabled. - Upload a single airport infrastructure report with over 500 pages, check whether a timeout error is returned after parsing is completed, and confirm that the
PARSE_FILE_TIMEOUT_SECONDSvalue is reasonable. - Import a monthly flight data file in Feishu multi-dimensional table format, check whether the parsed chunks retain the association between fields and units, and confirm that the
PARSE_TABLE_KEEP_FORMATconfiguration takes effect. - Retrieve the imported knowledge base, check whether professional aviation terminology phrases are split, and confirm that the
chunk_overlapvalue meets the requirements.
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.