What this category of data looks like
Iron ore financing daily report data originates from four main sources: domestic commodity trading platforms, coastal port monitoring systems, steel mill purchase ledgers, and financial institution credit ledgers. Data updates on a natural daily cycle. Full daily data aggregation is completed each early morning.
Document structures include fields such as that day’s spot transaction price, main futures contract settlement price, port salable inventory, single financing exposure, and maximum credit limit. Price units are yuan per wet metric ton. Inventory units are ten thousand metric tons. Financing-related fields use units of hundred million yuan.
Each daily report text is approximately 800 to 1200 characters long. Some reports include additional image attachments, such as port loading and unloading progress records and warehouse receipt vouchers.
Constraints imposed on model access and configuration
The multi-source mixed data structure, daily update schedule, and differentiated field units of iron ore financing daily reports create multiple configuration constraints.
Daily updated data sources require scheduled call logic adapted to natural day cycles, to avoid mixing cross-day data.
Documents include both text and image attachments. Multi-modal parsing configuration must be enabled to support non-text input.
Field units include differentiated identifiers such as yuan per wet metric ton, ten thousand metric tons, and hundred million yuan. Unit retention verification must be enabled during configuration, to prevent data deviation caused by the model losing units during extraction.
Single document length ranges from 800 to 1200 characters, and financing-related fields have high priority. An appropriate context window must be configured to prevent critical credit and exposure fields from being truncated.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 16384 tokens | Adapts to the total context length of single 800–1200 character text plus attached images, preventing critical credit and exposure fields from being truncated |
enable_multi_modal | Enabled | Supports parsing image attachments such as port loading and unloading progress records and warehouse receipt vouchers, covering multi-source data input scenarios |
parse_image_ocr | Enabled | Extracts text information such as warehouse receipt numbers and loading and unloading volumes from images, ensuring non-text data can be read by the model |
recall_top_k | Top 6 entries | Iron ore financing daily reports have moderate per-document data volume. Too many recalls introduce redundant information, while too few fail to cover all associated fields |
similarity_threshold | 0.75 | Balances matching accuracy and recall completeness for financing-related fields, avoiding mismatched financing data from non-iron ore categories |
UPLOAD_FILE_MAX_SIZE | 200 MB | Adapts to the file size of packaged single daily reports, including scenarios with text and multiple image attachments |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Each scenario requires separate analysis. Testing on own samples is recommended before finalizing configurations.
Three common configuration mistakes
- Symptom: The model cannot parse port loading and unloading images attached to iron ore financing daily reports, and the output only includes text content. Cause: The
enable_multi_modalandparse_image_ocrconfigurations are not enabled, and multi-modal parsing capability is not activated. - Symptom: A 400 error is returned when accessing the model via the proxy interface, with a prompt indicating abnormal parameter format. Cause: Request parameters are not passed in accordance with the requirements of the target model, or interface authentication information is incorrectly configured.
- Symptom: After modifying the
config.jsonconfiguration, the FastGPT model list does not update, and no changes are found in the/app/data/configdirectory when checking inside the container. Cause: The locally modified configuration file is not mounted to the corresponding container path, or the updated configuration is not loaded when restarting the container.
How to confirm successful configuration
- Test with an iron ore financing daily report file including text and image attachments. Confirm the parsing result includes text information such as warehouse receipt numbers and loading and unloading volumes from the images.
- Initiate a model call request. Verify the returned result retains unit information for price, inventory and financing limits, with no missing or confused units.
- Check the FastGPT model list. Confirm the configured model is displayed normally, with no error prompts.
- Enable streaming call testing. Confirm returned content is output in segments, with no empty responses or interruptions.
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.