What the data for this category looks like
Aviation airport financial report data mainly comes from industry operation statistics published by civil aviation authorities, quarterly/annual official financial reports of airport operators, flight schedule filing documents, and operation monthly reports. Data update cycles fall into three categories: monthly takeoff and landing and passenger flow statistics, quarterly revenue bulletins, and full annual financial reports. Document structures typically include core operation metrics such as takeoff and landing cycles, passenger throughput, and cargo and mail throughput, paired with revenue classifications such as core aviation business, non-aviation commerce, and advertising, as well as expense items such as fuel costs, landing fees, and labor costs. Most metric units are cycles, person-times, tons, yuan, or ten-thousand yuan denominations.
Constraints Imposed on Document Parsing and Chunking
The multi-source heterogeneous document formats of aviation airport financial reports require the parsing link to support multiple file types, including official statistical tables, official financial report PDFs, and operation announcement HTML files. Single financial report documents often have multiple levels of nested tables and high content density. During chunking, the binding relationship between operation metrics and their corresponding units must be preserved to avoid disconnection between metrics and units after splitting. Monthly updated operation statistics and annual financial reports have different time dimensions. Chunking must perform semantic aggregation based on time intervals to prevent cross-cycle metrics from being mixed. Custom naming rules exist for segmented revenue items in the industry. Parsing and chunking must adapt to non-standard field formats to ensure complete semantics after chunking.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Aviation airport financial report PDFs often contain multi-page nested tables, resulting in long parsing times. 900 seconds covers the full parsing process |
maxChunkSize | 800–1200 characters | Financial report metrics are mostly short numerical values paired with descriptive text. This range preserves the association between metrics and their context to avoid split breaks |
chunkOverlap | 100–150 characters | Table headers and core metrics across pages need to maintain semantic continuity. The overlap amount ensures context coherence |
ENABLE_IMAGE_PARSE | Enabled | Some airport financial reports include visual data such as takeoff and landing volume bar charts and passenger flow trend charts. Enabling this setting extracts printed text from images |
PARSE_HTML_STRICT_MODE | Disabled | Some airport operation announcement HTML files use non-standard tags to wrap operation data. Disabling strict mode allows complete extraction of text content |
IMAGE_OCR_CONFIDENCE_THRESHOLD | 0.7 | Chart text in financial reports is mostly standard printed text. 0.7 filters low-quality recognition results and retains valid text |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After uploading a PDF financial report, the knowledge base recall results do not include operation data from charts, and no image parsing content is displayed in the interface preview. Cause: The
ENABLE_IMAGE_PARSEconfiguration item is not enabled, the OCR parsing link is not executed, and printed text embedded in images is not extracted. - Phenomenon: After uploading an HTML-format airport operation monthly report, the knowledge base has no valid parsed content, and the backend log shows the
HTML_PARSE_FAILEDerror code. Cause:PARSE_HTML_STRICT_MODEis enabled, and the HTML file uses non-standard custom tags. The strict parsing mode cannot recognize the operation data within the tags. - Phenomenon: Parsed chunks have mismatched metrics and units, such as binding "cargo and mail throughput" with "cycles". Cause: Reasonable chunking parameters are not set, and the context association between metrics and their corresponding units is cut during splitting.
How to Verify Correct Configuration
- Upload an aviation airport financial report PDF that includes embedded visual charts, and check if the parsing preview page displays text content recognized from images. Confirm whether the image parsing configuration adapts to the current document.
- Upload an HTML operation announcement that uses custom tags to wrap operation data, and check if the knowledge base recall results include the core metrics in the document. Confirm whether the HTML parsing mode configuration is reasonable.
- Randomly sample parsed chunk content, verify that core operation metrics and their corresponding units are fully bound. Confirm whether the chunking parameter configuration matches the document structure characteristics.
- Check the backend parsing logs to confirm that no timeout errors are triggered during the parsing process. Verify whether the parsing timeout configuration duration adapts to the document scale.
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.