What this type of data looks like
Data sources for airport financing daily reports include public airport operation supporting financing announcements from civil aviation regional regulatory authorities, internal daily financing ledgers of airport groups, and daily summaries from aviation financial news platforms. Full data for the previous day is updated by 18:00 daily. Most documents use multi-column Excel or paginated PDF formats. Core fields include report date, airport code, takeoff and landing sorties, passenger throughput, daily financing received amount, financing method, corresponding repayment date, and remaining credit line amount. Monetary fields use ten thousand RMB as the unit. Duration fields use days or years as the unit.
Constraints on document parsing and chunking
The daily update rhythm requires the parsing process to support efficient batch processing. This prevents data delays caused by task backlogs. Multi-column structured document formats conflict with the default two-column parsing mode. Direct uploads will lose most business fields. Financing information is strongly tied to that day’s operation data. If the two types of content are split during chunking, full business logic cannot be associated and matched during retrieval. Paginated PDF documents split cross-page financing and operation data into separate chunks, breaking information integrity.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
excel_parse_mode | Multi-column mapping mode | Airport financing daily Excel files contain 8-10 business columns. The default two-column recognition mode will lose most data. Multi-column mapping allows specifying retention of all core fields |
chunk_max_length | 800-1000 characters | Each chunk must bind that day’s operation data and corresponding financing information. Excessively long chunks reduce retrieval accuracy. Excessively short chunks split associated business content |
parse_use_mineru | Enabled | Airport financing daily PDFs contain complex tables and cross-page content. The MinerU API enhances table recognition and cross-page content stitching capabilities |
parse_timeout | 600 seconds | When batch parsing multiple daily reports with multiple tables, sufficient time must be reserved to avoid parsing timeouts |
chunk_overlap_rate | 10%-15% | Financing information and operation data are strongly associated. Overlapping chunks ensure associated content is recalled simultaneously |
enable_field_extract | Enabled | Daily reports contain multiple types of structured fields. Enabling field extraction converts structured data into retrievable key-value pairs, making up for shortcomings in multi-column Excel recognition |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. Testing on local samples is recommended before finalizing settings.
Three common errors
- Phenomenon: After uploading a multi-column Excel format airport financing daily report, search results only display two business columns, and the remaining fields cannot be recalled. Cause: The
excel_parse_modeconfiguration was not set to multi-column mapping mode, and the default two-column parsing logic was used. - Phenomenon: Table recognition is disordered for PDF format airport financing daily reports, and cross-page financing and operation information is split into two independent chunks. Cause: The
parse_use_mineruconfiguration was not enabled. The basic parsing engine cannot handle complex tables and cross-page content stitching. - Phenomenon: A
Cannot redefine property: toStringerror is thrown when the parsing service is deployed online. Cause: The core dependency package version was not updated. Older versions of parsing plugins have property redefinition conflicts with the FastGPT runtime environment.
How to confirm correct configuration
- Upload a single test document, enter the knowledge base parsing preview page, and check the chunk list. Confirm that all preset business fields are correctly extracted and retained.
- Trigger a batch parsing task, check the task logs, and confirm there are no timeout or parsing failure error messages.
- Retrieve the test financing amount field, verify that the associated that day’s operation data is recalled simultaneously, and confirm that the chunk association meets configuration requirements.
- View the structured field list of the parsing results, confirm that after enabling
enable_field_extract, core fields are converted into retrievable key-value pair format.
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.