What This Category of Data Looks Like
The financial report-related data for brand agency operations comes mainly from the e-commerce transaction records, monthly settlement statements, and quarterly business analysis documents of partner brands. Data updates follow three rhythms: real-time transaction details, monthly summary reports, and quarterly business reports. Transaction details sync daily. Summary reports generate on the first day of each month. Quarterly reports deliver within 15 days after the quarter ends. Document formats include CSV, Excel, and PDF. CSV files contain fields such as order number, SKU code, tax-included sales amount, refund amount, and platform commission. PDF documents mix table and text analysis content. Field units include RMB yuan, date formats, and proportional values.
Constraints on Document Parsing and Chunking
The financial report data of brand agency operations has both structured and semi-structured characteristics. This requires the parsing engine to adapt to both the column format of CSV files and the mixed-layout content of PDF documents. Multi-field detailed data requires complete business associations to remain during chunking. This avoids splitting single SKU transaction information into different chunks. Diverse document formats and update frequencies require flexible parsing configuration to adapt to files of different sizes. This also ensures field integrity in parsing results and prevents data loss from format recognition errors. Additionally, mixed fields of proportional values and amounts require accurate unit type distinction during parsing. This prevents the binding relationship between values and units from breaking.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Quarterly financial reports for brand agency operations may contain tens of thousands of transaction details; 600 seconds covers the parsing time required for most large files |
maxChunkSize | 800–1200 characters | The monthly revenue information of a single brand in agency operation reports includes multiple sets of associated fields; 800-1200 characters can fully retain core business information and avoid splitting breaks |
CSV_PARSE_HEADER_ROWS | 1–3 rows | CSV documents for agency operations usually contain 1 standard header row, and some add 2 rows of explanatory content; 1-3 rows can correctly associate column names with data |
PDF_TABLE_EXTRACT_MODE | Region-based recognition + structured output | PDF business briefings mix tables and text; region-based recognition can retain the row and column structure of tables and avoid disordered text splicing |
UPLOAD_FILE_MAX_SIZE | 500 MB | Quarterly original transaction files can reach hundreds of MB; 500 MB covers conventional batch upload requirements |
CHUNK_OVERLAP_SIZE | 50–80 characters | Chunk overlap can retain business context across chunks; 50-80 characters reduces redundancy while ensuring logical coherence |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- A 413 Request Entity Too Large error occurs when uploading large files. This happens when
UPLOAD_FILE_MAX_SIZEand the reverse proxy upload limit of the deployment environment are not adjusted. For Docker deployments, modify the configuration file mounted by the container synchronously. - Only the first two columns of data remain after CSV parsing. This stems from incorrect configuration of
CSV_PARSE_HEADER_ROWS, or failure to specify the delimiter matching the document. This causes the parsing engine to incorrectly recognize subsequent columns as non-associated content. - Custom parsing service calls time out before completing. This occurs when
PARSE_FILE_TIMEOUT_SECONDSis not set, or its value is smaller than the actual required parsing time. This causes the system to terminate the parsing request early.
How to Verify Correct Configuration
- Upload a single quarterly transaction CSV file under 500 MB, and check whether parsing completes within the time set by
PARSE_FILE_TIMEOUT_SECONDS. - Upload a test CSV document with multiple columns, and confirm that the number of parsed data columns matches the original document.
- Upload a PDF business briefing containing nested tables, and check that the parsed text retains the table’s row and column structure without disordered splicing.
- View the chunking results, confirm that each chunk’s character count falls within the interval set by
maxChunkSize, and that adjacent chunks have overlapping content ofCHUNK_OVERLAP_SIZE.
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.