What the data for this category looks like
Data for minor metal financing daily reports comes from daily publicly monitored data from the domestic non-ferrous metal industry association, as well as listed financing position quotes from the Shanghai Futures Exchange and London Metal Exchange. Updates run daily at 2 AM, covering full data for the previous trading day. Quotes for some overseas products have a 4-hour delay. Documents use a table structure categorized by product. Each daily report includes row data for 12 core minor metal products. Each row contains 8 fields: product code, product name, daily financing purchase amount, financing balance, securities lending sales volume, securities lending remaining quantity, daily spot price, and daily price change from the previous day. Unified field units: financing indicators use ten thousand yuan, trading volume uses tons, spot price uses yuan per kilogram, and price change uses yuan per kilogram.
Constraints on model access and configuration
The multi-source, cross-regional data characteristics of minor metal financing daily reports require configuring cross-domain request whitelists and adapting authentication methods for different data sources. The daily T+1 update schedule requires configuring scheduled task parameters and setting reasonable request intervals to match interface rate limits of data sources. Structured multi-field data requires configuring field mapping rules for data parsing to unify field naming differences across data sources. Different indicator units require configuring preprocessing parameters for unit conversion to ensure consistent data units for model input. Some daily reports are released in image format. This requires configuring model access parameters related to image recognition to adapt to input data in different formats.
How to Set Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
request_timeout | 300 seconds | Data sources for minor metal financing daily reports include overseas exchange interfaces with high response latency. 300 seconds covers most normal request durations. |
embedding_batch_size | 8–16 | The text data volume of a single minor metal financing daily report is moderate. This range balances request efficiency and model load. |
system_prompt_template | Please extract specified fields from the provided minor metal financing daily report data and output in the required format | Clarifies the model's task scope, avoids generating irrelevant content, and adapts to structured data processing needs. |
image_recognition_mode | base64_upload | Adapts to the input requirements of locally deployed models, and avoids format compatibility issues caused by cross-domain file transfers. |
model_api_key | Fill in the corresponding key as required by the platform | Authentication methods vary across model service providers. Keys must match the requirements of the corresponding data source or model. |
max_context_length | 2000–4000 characters | The text length of a single minor metal financing daily report is approximately 1500 characters. This range fully accommodates input data and prevents model overflow. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and testing should be conducted on local samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Locally deployed Xinference Qwen model returns empty values or prompts input format incompatibility. Cause: The image recognition upload method is configured as a remote URL, and base64 encoding format is not used. This does not match the input requirements supported by the model.
- Phenomenon: Domestic large model options such as Tongyi Qianwen do not appear in the platform model list. Cause: The API access domain name and key for the corresponding domestic model are not added in the platform configuration page. The system does not load access configurations for this type of model.
- Phenomenon: After calling the embedding model, the returned vector results lack some field information. Cause: A reasonable
embedding_batch_sizevalue is not set. The single-batch input data exceeds the maximum length supported by the model, resulting in truncated fields.
How to Confirm Successful Configuration
- Send a test request for a single minor metal financing daily report, and verify that the returned fields match the requirements specified in the configured
system_prompt_template. - Enter the model selection interface, confirm that domestic large model options have been loaded, and that authentication can be completed normally to initiate test calls.
- Upload an image-format file of a minor metal financing daily report, use the configured base64 upload mode, and check that the structured data output by the model has no missing fields.
- Call the embedding model to process a single daily report data set, and verify that the number of fields in the returned vector results matches the input data.
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.