What This Category’s Data Looks Like
Glass market data draws from domestic construction material spot trading platforms and Zhengzhou Commodity Exchange glass futures market data. Updates occur daily from 16:30 to 17:00 on trading days, covering that day’s spot and futures settlement prices. Updates pause on public holidays. Each data entry includes origin identifier, product specifications (thickness, type), current listed price, previous day’s listed price, and trading volume range. Fields and units follow industry standard conventions used by most organizations: price fields use yuan per weight box, trading volume uses tons, and thickness specifications use millimeters (mm).
Constraints Imposed on Form and Interaction by These Characteristics
Glass category data splits into spot and futures types, and binds to specific specifications and origins. Forms must predefine optional options for data source type, product specification, and origin to prevent invalid parameter input. The fixed daily update schedule on trading days requires the interaction module to limit query date ranges to the most recent 30 trading days. It must also display a data update status prompt during non-trading hours. Dedicated units for price and volume must be shown by default next to form input fields to reduce unit conversion work. The multi-field linked structure requires the form to automatically load corresponding origin quote data after a specification is selected, to avoid cross-category matching errors.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
query_filter_schema | {"type": "object", "properties": {"product_spec": {"enum": ["5mm_float_glass", "8mm_float_glass", "10mm_float_glass"]}, "data_source": {"enum": ["spot", "futures"]}, "trade_date": {"type": "string", "format": "date"}}, "required": ["product_spec", "data_source"]} | Matches fixed specifications and data source categories for glass products, reduces invalid query parameters |
rag_recall_top_k | Top 8 entries | Glass quote data volume is moderate. 8 recall results cover most mainstream vendors’ daily quotes |
query_timeout | 15 seconds | Average response time for cross-platform spot and futures data pulls is approximately 10-12 seconds. This value reserves buffer time |
response_unit_override | ["yuan_per_weight_box", "ton"] | Matches standard glass industry quote and trading volume units, prevents unit confusion |
max_query_history | 7 days | Glass market data has strong timeliness. Historical queries older than 7 days have limited practical reference value |
multimodal_input_switch | Off | Glass yield rate queries use text parameters primarily. Multimodal input is not required |
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. Analyze specific cases individually. Test against your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Calling the
gpt-4o-minimodel triggers a 400 error when inputting "350怎么样". Switching to other models works normally. Cause: The parameter validation logic for glass quote data does not adapt to the context length limits of lightweight models. 350 is a specification-related parameter. Lightweight models cannot parse parameterized queries without accompanying context. - Symptom: Deploying a speech recognition model fails to trigger knowledge base queries via voice input. Cause: The input trigger logic for form interactions does not bind to the text output event from speech recognition. The module only listens for submission actions from the native text input box.
- Symptom: Returned result units do not match the industry standard conventions used by most organizations after a user submits a query. Cause: The
response_unit_overrideparameter is not configured. The system uses default universal units, preventing users from directly reading quote data aligned with industry habits.
How to Verify Proper Configuration
- Submit predefined product specification and data source parameters. Check that returned result fields include origin, price, and trading volume, and that units match the setting for the
response_unit_overrideconfiguration item. - Simulate a query during non-trading hours. Check that the interface displays a data update status prompt, and that no empty results or error messages are returned.
- Adjust the query date range. Check that the interaction module blocks query requests exceeding 30 trading days.
- Test parameterized queries with the
gpt-4o-minimodel. Confirm that no 400 errors are returned, and that results meet expectations.
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.