What the data for this category looks like
Livestock and poultry farming financial report data comes from public statistics released by the Animal Husbandry and Veterinary Bureau of the Ministry of Agriculture and Rural Affairs, public annual reports of breeding entities, and monthly reports from third-party industry monitoring institutions. There are three update schedules: Monthly monitoring data is updated before the 5th of each month. Quarterly financial report data is updated within 15 working days after the end of the quarter. Annual financial reports are updated by the end of March of the following year. Most documents use structured table formats, with attached text notes related to breeding cycles and market fluctuations. Core fields include total inventory, total slaughter, total feed purchases, per-head breeding cost, and epidemic prevention investment amount, with units of head, ton, yuan/head, and yuan respectively.
What constraints these characteristics impose on model access and configuration
Differences in multi-source data formats require configuring field mapping rules for data preprocessing, to avoid model recognition errors caused by inconsistent field names. Data sources with different update cycles need differentiated synchronization trigger frequencies, to match the update rhythms of monthly, quarterly, and annual data. Documents with a high proportion of structured tables require the model to enable table parsing mode, to prevent content truncation. Breeding-specific fields have unique terminology characteristics, requiring domain adaptation parameters to be configured for the model, to ensure accurate recognition of professional terms. Financial report document length increases with the reporting cycle, so a longer context window is needed to fully parse all content.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Set to true | Most livestock and poultry farming financial reports use structured table formats; enabling this setting allows complete extraction of table fields and values |
maxContext | Use 8000–16000 characters | Quarterly and annual financial report documents have longer lengths; this setting adapts to long-context parsing requirements |
DATA_SYNC_INTERVAL | Configure per data source: 30 days for monthly data, 365 days for annual data | Matches the update rhythms of different data sources to avoid duplicate synchronization or missed updates |
FIELD_MAPPING_RULE | Preset mapping relationships for core fields including inventory, slaughter volume, feed consumption, etc. | Unifies field names across multiple data sources to ensure consistent model recognition |
SIMILARITY_THRESHOLD | Set to 0.75–0.85 | There are many professional terms in breeding data; this range balances recall accuracy and coverage |
RECALL_TOP_K | Use the top 5–8 entries | Financial report analysis requires multi-dimensional data support; an appropriate number of recall entries covers core analysis dimensions |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: The model returns a "field format mismatch" error with status code 400. Cause: The
FIELD_MAPPING_RULEconfiguration was not set, and non-standard field names from original data sources were used directly, causing the model to fail to recognize breeding-specific fields in financial reports. - Symptom: The custom icon fails to display in the interface after adding the
avatarfield to the model configuration. Cause: The format of theavatarlink was not confirmed to be PNG or JPG, and the link does not support cross-domain access, which does not meet the resource loading requirements of the model configuration. - Symptom: Unable to locate the root cause of a large model call failure via OneAPI. Cause: The
LOG_LEVELconfiguration was not set todebuglevel, and detailed logging of model call logs was not enabled, so request parameters and returned error details cannot be viewed.
How to confirm the configuration is complete
- Upload a structured table document from a livestock and poultry farming quarterly financial report, and check if the parsed result fully includes the core fields and values in the table to confirm that the table parsing configuration is active.
- Trigger a data synchronization task, and verify that the completion time of the synchronization matches the preset synchronization interval rules to confirm that the data source synchronization configuration is active.
- Submit a financial report analysis request, and check if the returned result includes accurate recognition of breeding-specific terms to confirm that the field mapping and domain adaptation configurations are active.
- View the model call logs to confirm that the request parameters match the configuration items with no format errors, to confirm that the logging configuration is active.
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.