Document Parsing and Chunking for Aquaculture Financial

What the Data for This Category Looks Like

Aquaculture financial report data mainly comes from breeding ledgers of large-scale breeding operators, feed purchase vouchers, delivery settlement documents, sampling reports from fishery regulatory authorities, and public annual and semi-annual aquaculture segment financial reports from listed entities. Update frequency varies with operator scale: small-scale breeders follow a monthly cycle, large-scale enterprises submit internal accounting reports quarterly, and public financial reports follow fixed annual and semi-annual schedules. Document structures include modules such as seedling stocking volume, feed consumption, water physicochemical indicators, shipment volume and unit price, and cost accounting. Field units are mostly concrete measured values such as mu, kilogram, ton, mg/L, yuan/kg, with no complex nested financial derivative fields.

Constraints Imposed by These Characteristics on Document Parsing and Chunking

The multi-page scattered fields, diverse concrete measurement units, and scanned document formats used by some operators bring multiple constraints to document parsing and chunking. A single annual financial report or full-cycle ledger may contain dozens to hundreds of pages, which can trigger timeout limits during batch parsing. Water quality indicators and feeding records for different breeding ponds are scattered across different pages. Chunking must retain contextual association between adjacent pages to avoid splitting complete data for the same breeding unit. Scanned ledger documents rely on accurate OCR parsing; parsing errors will cause loss of key measurement fields in subsequent chunking. High-frequency updated monthly ledgers require batch parsing support, which places additional requirements on concurrent processing capabilities.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Parsing a single hundred-page aquaculture financial report typically takes 400–550 seconds. 600 seconds covers most scenarios and prevents timeout interruptions
`UPLOAD_FILE_MAX_SIZE`	`1024 MB`	The file size of scanned annual breeding ledgers typically does not exceed 700 MB, so this value reserves sufficient upload space
`maxChunkSize`	`800–1200 characters`	A single complete breeding business data unit (such as monthly feeding and water quality indicators for one pond) typically falls within 800 characters. Excessive length will cause broken recall associations
`chunkOverlap`	`100–150 characters`	Contextual association between adjacent pages for breeding ponds and their corresponding parameters must be retained to avoid splitting the same business unit
`RECALL_TOP_K`	`Top 3–5 entries`	Core analysis data for aquaculture financial reports is typically concentrated in 3–5 related chunks. Excessive recall will introduce irrelevant business data
`SIMILARITY_THRESHOLD`	`0.75`	Filters duplicate feed purchase records and water quality detection data, retaining core business fields

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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

Phenomenon: When calling pdf-marker to parse a 50+ page aquaculture financial report, the task waits indefinitely without a response, eventually triggering a timeout error. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter was not adjusted, and the default value is usually less than 500 seconds, which cannot cover the parsing time of hundred-page documents.
Phenomenon: When calling doc2x to parse a 200+ page full-cycle aquaculture ledger, a parsing failure error is returned. Cause: The default page limit for a single file in doc2x is 150 pages, and full-cycle aquaculture ledgers often exceed this threshold, causing parsing interruptions.
Phenomenon: After locally deploying pdf-marker v4.9.0, calling it on the FastGPT page returns the error Cannot read properties of undefined (reading 'xxx'). Cause: The environment variables for pdf-marker were not configured correctly, or there were version conflicts in dependent packages, resulting in missing key dependent fields when the parsing service starts.

How to Confirm Configuration is Correct

Upload a single-page scanned aquaculture financial report, check the field integrity of the parsing result, and confirm that water quality indicators and feeding data identified by OCR are not missing.
Upload an annual breeding ledger of around 100 pages, check whether the parsing task duration falls within the preset PARSE_FILE_TIMEOUT_SECONDS range, with no timeout interruptions.
View the list of chunked results, confirm that feeding and water quality indicator data for the same breeding pond are not split into different chunks.
Test the recall function, enter analysis keywords for the corresponding breeding pond, check whether the returned chunks include relevant data for that pond, with no irrelevant business content included.

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.