What the data for this category looks like
Data for game financing daily reports comes from public financing disclosure documents, public datasets from industry monitoring institutions, and official manufacturer announcements. Updates are published daily, compiling financing information disclosed on that day. Each document typically includes multiple financing entries, with structured tables as the main format. Fields include financing party name, affiliated game track, financing amount, investor entity, financing round, disclosure date, and name of associated core game product. Amount units are mostly ten thousand yuan or hundred million yuan. Round fields use standardized industry terminology. Some documents include small amounts of non-business content like industry comments or disclaimers.
What constraints do these characteristics impose on the document parsing and chunking process
The primarily structured table document format requires the parsing step to accurately identify table boundaries and cross-page merged cells, to avoid incorrect splitting of financing entries. The presence of multiple fields and associated entities (financing party and linked game products) requires that chunking preserves field associations, to avoid separating critical business information. The high-frequency daily update requirement means the parsing process must have stable batch processing capabilities, while filtering out non-financing industry comment content included in some documents. Some documents have mixed amount units, so unit unification and validation must be completed during the parsing stage to avoid entries with inconsistent units after chunking.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_STRICT_MODE | true | Game financing daily reports primarily use structured tables. Strict mode accurately identifies merged cells and cross-page tables, avoiding incorrect splitting of financing entries |
CHUNK_SPLIT_BY_FIELD | 融资方名称 | Preserves field associations between financing entities and linked game products, avoiding critical business information being split during chunking |
PARSE_BATCH_SIZE | 20 documents/batch | Adapts to the high-frequency daily update requirement, balancing parsing efficiency and server load |
MAX_PARSE_DURATION | 120 seconds | Each document includes multiple financing entries, reserving sufficient time for full field parsing and format validation |
UPLOAD_FILE_ALLOWED_TYPES | ["pdf", "docx", "xlsx"] | Covers mainstream export formats for financing daily reports, preventing parsing failures due to unsupported formats |
PARSE_FILTER_RULES | Filter by matching keywords "industry comments", "disclaimer" | Removes redundant non-financing content from documents, improving chunking accuracy |
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 mistakes
- Symptom: After server deployment, uploading a file returns a 404 error from the document parsing node, while parsing works normally in the local environment. Cause: The local environment's temporary file directory does not match the server deployment directory, so the parsing node cannot read the temporary file path after upload.
- Symptom: The post-parsing chunking results include large amounts of non-financing content, with some core fields missing. Cause: Table strict parsing mode is not enabled, and cross-page annotations or unstructured paragraphs in the document are incorrectly identified as valid financing entries.
- Symptom: After an external system pushes a file, the parsing and chunking process is not automatically triggered. Cause: Only parsing logic triggered by front-end uploads is configured, and rules for enabling parsing via external API callbacks are not turned on.
How to verify the configuration is correct
- Upload a standard game financing daily report document, check if the parsed structured data fully includes all preset fields, and verify that field associations are correct.
- Simulate batch upload of multiple documents, check the parsing node's running logs to confirm no timeout or file read failure errors occur.
- Configure non-content filtering rules, upload a document containing redundant comments, and confirm that non-financing related content has been filtered from the parsing results.
- Call the external system file push interface, confirm that the parsing and chunking process is automatically triggered after pushing, and that corresponding knowledge base slices are generated.
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.