What this category of data looks like
Aquaculture financial report data mainly comes from daily breeding ledgers of breeding entities, industry statistical reports from local agricultural and rural affairs departments, and regular periodic reports publicly disclosed by listed entities. Data update cycles cover daily feeding records, monthly records of stock in pen and slaughter, quarterly cost and output summaries, and annual full financial report disclosures. Document structures include fields such as breeding water area, seedling stocking volume, total feed consumption, disease incidence rate, per-unit water area yield, per-ton breeding cost, and more. Common units include mu, individual fish (tail), kilogram, yuan/kilogram, and others.
What constraints these characteristics impose on the "model access and configuration" link
The characteristics of aquaculture financial report data — scattered sources, high-frequency updates, specialized fields and non-standard units — impose multiple constraints on model access and configuration. Multi-source data requires configuring the DATA_SOURCE_TYPE parameter to distinguish access methods for structured ledgers and semi-structured reports, to avoid data format conflicts. For high-frequency updated monthly and quarterly data, reasonable synchronization cycle parameters must be set to ensure data timeliness. The presence of specialized fields and non-standard units requires configuring field mapping and unit conversion rules to ensure the accuracy of model data reading. For long-form annual financial report documents, the context window parameter must be adjusted to adapt to the parsing requirements of full text.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Annual aquaculture financial report documents have a relatively long length, and core data paragraphs need to be fully loaded to ensure analysis accuracy |
SYNC_INTERVAL | 720 minutes | Matches the update rhythm of monthly breeding data to ensure the timeliness of synchronized data |
FIELD_MAPPING_RULE | Map financial report fields according to the standard fields of breeding ledgers | Specialized fields exist in aquaculture financial reports, which need to be uniformly mapped to a standard format recognizable by the model |
UNIT_CONVERSION_SWITCH | Enabled | Multiple non-standard units such as mu, kilogram, and individual fish (tail) exist in financial reports, which need to be converted to units uniformly processed by the model |
EMBEDDING_MODEL | Doubao-embedding-large | Adapts to the semantic understanding requirements of aquaculture professional terminology, supports custom request address configuration |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing long-form financial report documents requires a relatively long time to avoid interrupting the parsing process due to timeout mid-process |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Click to enable the
Doubao-embedding-largeindexing model, fill in the custom request address and APIKey, then click test and receive an error directly. The cause is that the custom request address does not adapt to the exclusive access path of the model, or the APIKey permission does not cover the indexing model call. - A 404 or 500 status code appears when configuring a channel model. The cause is that the interface address configuration of the new channel is incorrect, or the APIKey configuration is invalid and does not match the official access endpoint of the corresponding model.
- Incorrect field mapping configuration causes missing fields in the financial report data parsed by the model. The cause is that mapping is not completed according to the standard fields of the aquaculture breeding ledger, and general financial report fields are used for matching directly.
How to Confirm the Configuration Is Complete
- Perform a single structured data synchronization test, check whether the synchronized data fields and units are consistent with the source data.
- Upload a single aquaculture financial report document, test whether the model parsing result includes all core business fields.
- Call the embedding model test interface, check whether the returned vector results meet the preset dimension and format requirements.
- Enable the scheduled synchronization task, check whether the task log has no abnormal errors, and confirm that the synchronization cycle matches the preset business rhythm.
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.