Document Parsing and Chunking for Power Industry Financing

What This Category’s Data Looks Like

Power industry financing daily report data comes primarily from public notices issued by local energy regulatory authorities, internal financing ledgers of power enterprises, and project financing announcements released by the national power trading center. A single daily report is produced each day. Each full document covers all industry-wide power project financing updates for that day. Common document formats are multi-page Word summary documents or single-column detailed Excel spreadsheets. Fields included in the documents are project name, affiliated grid hierarchy, financing amount, financing method, fund usage, approval document number, and release date. Monetary units are mostly ten thousand yuan or hundred million yuan. Regional fields are precise down to the prefecture-level city level.

Constraints Imposed by These Characteristics on Parsing and Chunking

Single daily reports updated daily often contain repeated headers. Parsing must skip repeated headers to avoid invalid data. Single Word documents can reach 100,000 Chinese characters. Detailed Excel spreadsheets can have over 15,000 rows. Fixed-length chunking can easily split associated information of a single project. Chunking must follow project units or logical paragraphs. Fields such as financing amount and region often come with contextual descriptions. Chunking must retain the binding relationship between fields and their corresponding explanations to avoid broken field associations after parsing. Excel data with large numbers of rows must be split by business groups to prevent single chunk data volume from exceeding the range supported by vector models.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_EXCEL_HEADER_ROWS`	`2–3 rows`	Power industry financing daily Excel files usually have 2 header rows (first-level industry title + second-level fields). Skip repeated headers
`CHUNK_MAX_SIZE`	`800–1200 characters`	Adapts to input limits of most vector models. Descriptions for single power project financing usually fall within this length range
`PARSE_WORD_SKIP_DUPLICATE_HEADER`	`Enabled`	Single Word daily reports often repeat industry summary headers. Avoids generating duplicate data blocks during parsing
`UPLOAD_FILE_MAX_SIZE`	`1000 MB`	Adapts to batch upload requirements for 100,000 Chinese character Word documents or 15,000+ row Excel spreadsheets
`CHUNK_OVERLAP_SIZE`	`50–100 characters`	Retains associated project context. Avoids breaking the binding relationship between fields and their explanations across chunks

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Errors

Issue: When uploading a 100,000 Chinese character Word document or 15,000+ row Excel spreadsheet, the parsing task returns the 413 Request Entity Too Large status code. Cause: The UPLOAD_FILE_MAX_SIZE parameter is not adjusted to a value adapted to the file size, exceeding the platform's default upload limit.
Issue: Some chunks fail during vectorization after chunking. The interface displays the vectorization failed error, and the issue resolves after retrying. Cause: No reasonable CHUNK_OVERLAP_SIZE is set when chunking large files, leading to insufficient contextual association for some chunks and triggering input format validation failures by the vector model. The system automatically adjusts chunk boundaries during retries.
Issue: Power financing data queried from the DB node is a JSON array. After parsing, the financing amount and unit fields are separated and cannot be matched and associated. Cause: Chunking rules are not configured according to business units, splitting the binding relationship between fields and their corresponding explanations, leading to broken data associations during subsequent retrieval.

How to Verify Proper Configuration

Upload a single typical power industry financing daily report document. View the parsed chunk list to confirm that repeated headers are not parsed multiple times, and each chunk corresponds to complete financing information for one power project.
Randomly select 10 chunks. Check that financing amount and unit, region, and project name are bound within the same chunk, with no split or broken associations.
Adjust the CHUNK_MAX_SIZE parameter. Upload a large file and verify that the number of chunks matches the input length supported by the vector model, with no prompts for single chunks exceeding limits.
Trigger a batch upload test. Confirm that parsing tasks run without abnormal errors and comply with the configured upload limit 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.