What the Data for This Category Looks Like
Financing daily report data for brand agency operations (beauty and personal care category) primarily comes from financing liaison emails for served brands, internal project follow-up ledgers, and daily updates from industry financing databases. Update frequency is daily. Each daily report covers same-day financing updates for 1 to 5 served brands. Common document formats are PDF or Excel, with a fixed header structure: brand name, financing round, financing amount, investor, liaison date, follow-up progress. For field units: financing amount uses ten thousand yuan or hundred million yuan as the unit, liaison date uses the YYYY-MM-DD format, and follow-up progress is a text description field.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking
The daily update requirement means multiple daily report files must be processed in batches, and data sources for different brands need to be quickly distinguished. Document formats vary, including both standard formatted PDF tables and manually organized mixed-format Excel files. This places high adaptability requirements on the parsing engine. Each single daily report contains multiple independent brand entries. Chunking must split entries accurately to avoid mixing context across brands. Financing amount fields may have mixed units, so additional verification of the match between numerical values and units is needed to prevent parsing errors.
How to Configure the Settings
| Configuration Item | Recommended Value | Basis for This Setting |
|---|---|---|
PARSE_PDF_ENGINE | doc2x | Brand agency operation financing daily reports are mostly structured PDF tables. doc2x has better parsing stability for table content than the default engine |
maxChunkSize | 800–1200 characters | A single financing entry contains 3 to 5 core fields. This length can fully cover a single record without redundancy |
chunkOverlap | 100–150 characters | Retain overlapping content between adjacent chunks to prevent context breaks caused by cross-entry chunking |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapt to the parsing time of doc2x to avoid parsing failures caused by timeouts |
BATCH_FILE_TAG_RULE | Extract brand name from file name prefix | Daily files are named by the served brand, which can quickly add source identifiers to chunk results |
FIELD_VALIDATION_PATTERN | Match amount units (ten thousand yuan / hundred million yuan) | Filter incorrect parsed amount values and ensure fields match the correct units |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- When calling the file collection creation API, failing to specify the
PARSE_PDF_ENGINEparameter leads to missing table content in PDF parsing results. The root cause is that the FastGPT default parsing engine has insufficient adaptability for structured financing daily reports. - When using doc2x to parse PDFs, a
500 Internal Server Erroris returned. The root cause is a recent temporary adjustment to the doc2x interface, and insufficiently configured timeout periods cause request interruptions. - After uploading multiple daily report files, the parsing results cannot distinguish the corresponding brands. The root cause is that the
BATCH_FILE_TAG_RULEis not configured, so chunk results have no source markers.
How to Confirm Configurations Are Set Correctly
- Upload a single brand agency operation financing daily report PDF, enter the parsing details page, and confirm that each financing entry is split into independent chunks.
- Batch upload 2 daily report files with different names, check the result list, and confirm that chunk results carry source markers for the corresponding brands.
- View the parsing task logs, confirm that the
PARSE_PDF_ENGINEparameter is correctly passed, and there are no timeout or engine call failure records. - Extract parsing results for some amount fields, confirm that only numerical values matching the configured unit format are retained.
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.