What the data for this category looks like
Public quotation platforms for the domestic jewelry industry and daily released wholesale and retail prices from brand parties are the primary data sources. Full data updates are completed within 1.5 hours after the close of each trading day, with no updates on non-trading days. Data is provided in structured table format, including the following fields: jewelry material identifier, daily listed retail price, daily recycling guide price, previous trading day benchmark price. Some segmented categories such as inlaid jewelry include an additional main stone reference benchmark price field. The unified pricing unit is yuan/gram.
What constraints these characteristics impose on deployment and upgrade
The fixed trading day update rhythm requires that scheduled pull tasks configured during deployment match the closing times of the domestic jewelry trading market, to avoid pulling invalid data during non-trading hours. Segmented categories include inlaid jewelry with additional fields, so deployment requires configuring parsing rules that can dynamically adapt to fields to accommodate differences across categories. Data is sourced from public third-party platforms, so legal access permissions and request rate limits must be configured during deployment to avoid triggering anti-crawling mechanisms. The unified data unit is yuan/gram, so upgrades must verify unit consistency in formatted output to avoid unit confusion.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
CRON_EXPRESSION | 0 18 * * 1-5 | Domestic jewelry trading days are Monday to Friday, closing at 17:00. Pulling data 1.5 hours after close, triggering the task at 18:00 covers the completion of updates |
PARSE_FIELD_MAPPING | material: Material Identification, retail_price: Retail Price, recycle_price: Recycling Price, prev_price: Reference Price, stone_price: Main Stone Price | Matches standard field names for jewelry market data, adapts to field conversion requirements across different data sources |
REQUEST_INTERVAL | 600 seconds | Anti-crawling restrictions on public platforms allow no more than 2 requests per minute. A 600-second interval ensures compliance |
DYNAMIC_FIELD_ENABLE | true | Inlaid jewelry includes an additional main stone price field, so dynamic field parsing must be enabled for adaptation |
OUTPUT_UNIT | yuan/gram | Matches the standard pricing unit for jewelry market data, ensures unit consistency in broadcast content |
TIMEOUT_THRESHOLD | 30 seconds | The average response time of public data sources is 10-15 seconds. 30 seconds covers network fluctuation scenarios |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Symptom: The container fails to start after running
docker-compose up -d. The log returns404 Not Found. Checking the mounted configuration file shows only a single line of error prompt. Cause: The downloaded configuration file was not fully pulled, only the 404 error page content was cached, resulting in an invalid configuration file. - Symptom: Historical stored market data is lost after updating the image version and restarting the container. Cause: No data persistence mount directory was configured. Temporary stored database files are cleared after container restart.
- Symptom: When calling the Laf function to pull jewelry market data, an
unknown erroris returned in the third-party hosted environment, while the call works normally in the local environment. Cause: No access credentials for the Laf function were configured in the third-party hosted environment. The default only supports built-in credentials for the hosted environment.
How to confirm the configuration is complete
- Manually trigger the configured scheduled pull task, check if the pulled structured data includes all preset fields.
- Check container runtime logs, confirm there are no errors related to
request timeout,field parsing failure, orpermission denied. - Generate a test version of the daily report, verify that the pricing unit matches the configured setting.
- Simulate a non-trading day scenario, verify whether the task skips execution or generates a no-data prompt according to the configured logic.
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.