What This Category’s Data Looks Like
Data related to precious metals marketing mainly comes from official exchange market quotation APIs, industry news aggregation platforms, and third-party quotation service providers. Data update rhythm is divided into two categories: real-time quotations and historical quotations. Real-time quotations are pushed at second or minute granularity, while historical quotations are archived and stored at daily or hourly granularity. The structure of single data documents is standardized, including fields such as product identifier, trading code, latest transaction price, price change percentage, opening price, closing price, daily trading volume, and open interest. There are cross-market differences in field units: domestic products use yuan/gram and kilogram as units, while international products use USD/ounce and ounce as units.
What Constraints These Characteristics Impose on Forms and Interactions
High-frequency updates of real-time quotations require forms to support dynamic data fetching and refresh without reloading, to avoid deviations in marketing content caused by cache expiration. Cross-market unit differences require interaction interfaces to provide unit switching controls to adapt to the usage habits of domestic and international users. Multi-precious-metal category management requires forms to support filtering data input by product (gold, silver, platinum, etc.), and verify that input product codes comply with exchange specifications. Multi-granularity historical quotation archiving requires form time range selectors to support parameters of different granularities such as daily and hourly, to adapt to content generation needs for different marketing scenarios.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Precious metals marketing content often includes high-definition market charts and batch historical data CSV files; 500 MB covers upload needs for most business scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large historical market data CSV files take longer to parse; 120 seconds avoids interrupting the parsing process due to timeout |
maxContext | 8000–12000 characters | The context length for precious metals market analysis is long, and it needs to adapt to the input and summarization requirements of multi-field data |
Form Field Validation Rules | Match exchange product code format | Invalid precious metal product input must be filtered to ensure the accuracy of subsequent marketing content |
Dynamic Data Refresh Interval | 60 seconds | Real-time market data does not need to be refreshed too frequently; 60 seconds balances content timeliness and server load |
JSON Input Character Limit | 15000 characters | Batch upload of precious metals multi-field data requires sufficient character space to avoid content truncation |
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. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: A 504 status code is returned when calling the data interface, with a prompt of parameter verification failure. Cause: The unique field names of precious metals data (such as
latest_pricecorresponding toau9999) are not matched, and general field names are directly used as body parameter names, causing the interface to fail to correctly parse the request. - Phenomenon: Uploaded precious metals historical market CSV files are not included in the model context, and the data cannot be called in conversations. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted; large data files are discarded after parsing times out, and data injection is not completed. - Phenomenon: After batch inputting market data in JSON format, the content is truncated and cannot be summarized statistically. Cause: The
maxContextorJSON Input Character Limitparameters are not modified, and data is automatically truncated due to exceeding the default character threshold.
How to Confirm Successful Configuration
- Upload a small test precious metals market data file, confirm that relevant content can be called in the conversation window after parsing is completed.
- Switch the unit switching control, verify that the market data unit displayed on the interface matches the selected configuration.
- Input JSON data containing unique fields, check whether the model output correctly calls the information of the corresponding fields.
- View the interface call log, confirm that the parameter names match the precious metals data fields, and there are no verification failure errors.
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.