What the data for this category looks like
Data sources for airport intelligent due diligence reports include public operation statistics from civil aviation regulatory authorities, annual reports published by airport authorities, monthly operation announcements, and industry analysis documents from third-party civil aviation consulting firms.
Data update cycles follow three schedules: monthly operation ledgers are updated each month, quarterly operation briefs are released at the end of each quarter, and annual comprehensive reports are updated in the first quarter of the following year.
Document structures center on structured tables. These tables include operation indicators such as takeoff and landing cycles, passenger throughput, and cargo and mail throughput, financial data such as revenue and infrastructure investment, and text content including expansion and renovation plans and safety compliance explanations.
Fields have clear unit labels: takeoff and landing cycles use cycles, passenger throughput uses person-times, cargo and mail throughput uses tons, and financial fields use ten thousand yuan.
Common document formats include PDF annual reports, Excel operation ledgers, and web-based announcement notices.
What constraints these characteristics impose on the document parsing and chunking link
The core content of airport due diligence reports consists primarily of structured tables. The parsing link must accurately identify nested tables and cross-page tables, and retain the binding relationship between indicators and units to avoid data ambiguity after chunking.
Documents with different update cycles have large differences in total length. Single monthly operation ledger files have small data volumes, while single annual comprehensive report files can reach dozens of pages. The chunking link must adapt to documents of varying lengths, avoiding excessive splitting or merging of unrelated content.
Some data sources are online tables or real-time data pushed via webhooks. The parsing link must support dynamic data pulling and verify data source permissions to ensure full data integrity.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Airport due diligence reports contain a large number of structured operation and financial tables. Enabling this setting accurately extracts the association between indicators and units within cells |
CHUNK_SIZE | 800–1200 characters | This range matches the core content block length of airport monthly ledgers and annual reports, retaining complete context for single indicator groups |
CHUNK_OVERLAP | 100–150 characters | Context continuity is required for cross-page tables and indicator connections between adjacent sections. This overlap length covers header information from adjacent tables |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large annual PDF reports take longer to parse. This duration covers parsing requirements for conventional files |
TABLE_MERGE_ENABLE | Enabled | Airport operation ledgers often have structurally identical tables split across pages. Enabling this setting merges them into a complete dataset |
UPLOAD_FILE_MAX_SIZE | 200 MB | This is the common size for large annual infrastructure reports or bundled batches of ledgers, covering upload requirements for most scenarios |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test with your own samples before finalizing settings.
Three common mistakes
- After importing a Feishu online table, the parsing result only includes headers with no data. The cause is that the public sharing permission for the Feishu table was not configured, preventing the parsing interface from pulling complete table content.
- After chunking, a single chunk contains multiple unrelated indicator groups. The cause is that the
CHUNK_SIZEparameter was not set correctly, with a value outside the recommended range, causing the system to split content illogically. - After exporting the knowledge base dataset as a CSV file, only the template format is included with no actual business data. The cause is that the chunked dataset export configuration was not enabled, causing the system to only generate an empty template file.
How to confirm the configuration is complete
- Upload a small airport monthly operation ledger Excel file, and check if the parsed text fully extracts indicators and units within cells.
Check the chunk list. Since values vary significantly across scenarios, it is recommended to confirm the character count range for each chunk based on your own sample statistics or testing.
- Test importing a Feishu online table link, and confirm that the parsing result includes complete table data and column order.
- Upload a cross-page annual PDF report, and check if the parsed tables have merged structurally identical content across pages.
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.