Model Integration and Configuration for Chemical Fiber Yield Rates

Market data for chemical fiber yield rates comes from domestic commodity trading platforms and industry association daily statistical reports.

What this category's data looks like

Market data for chemical fiber yield rates comes from domestic commodity trading platforms and industry association daily statistical reports. It updates once daily in the early morning, with full data for the previous trading day released. Data is stored as structured tables, commonly in CSV or Excel formats. Core fields include trading date, polyester filament spot price, PTA futures settlement price, industry operating rate, import and export volume, and daily supply and demand balance. Field units include yuan/ton, %, and ten thousand tons. No non-standard formats are used. The number of rows per data batch equals the total number of industry entries counted on that day.

Constraints imposed on model integration and configuration by these characteristics

Structured data updates on a fixed daily schedule. Configure scheduled pull tasks with fixed cycles. This avoids frequent pulls that trigger interface rate limits. Mixed field units require unified unit conversion rules. Configure these rules to ensure consistent numerical units for model inputs, preventing errors in yield rate calculations. Fixed fields strongly correlated with yield rates require field whitelists. Configure whitelists to filter irrelevant data and reduce model input noise. Data may have 1 to 2 days of gaps due to holidays. Configure a maximum allowable missing row threshold to prevent exceptions during model training or daily market reports.

How to set the configurations

Configuration ItemRecommended ValueRationale
SCHEDULE_PULL_INTERVAL86400 secondsChemical fiber industry data updates once daily, matches fixed pull frequency
DATA_FIELD_WHITELISTtransaction date, polyester filament spot price, PTA futures settlement price, industry operating rate, supply and demand balanceOnly retains fields directly related to yield rate calculation, reduces model input noise
UNIT_CONVERSION_MAPUSD per barrel: CNY per ton:7.2, %: :1Unifies domestic and international unit formats, ensures consistency in numerical calculations
MAX_MISSING_ROWS_ALLOWED2 rowsMatches typical data gaps during holidays and similar scenarios
maxContext4096 charactersAdapts to the total input length of a single batch of chemical fiber data, prevents content truncation
RECALL_SIMILARITY_THRESHOLD0.75–0.85Structured data has high feature differentiation, set a higher threshold to filter irrelevant matches

The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • Phenomenon: Scheduled pull task trigger frequency does not meet expectations, with duplicate data pulls during some periods. Cause: The SCHEDULE_PULL_INTERVAL parameter is not set correctly, and the value does not match the daily update rhythm of chemical fiber data.
  • Phenomenon: Unit confusion appears in yield rate calculation results output by the model. Cause: The UNIT_CONVERSION_MAP parameter is not configured, and domestic and international unit formats are not unified.
  • Phenomenon: The model repeatedly triggers file reading tool calls when processing structured data, leading to excessively long task runtime. Cause: The automatic decision logic for tool calls is not disabled, causing the model to repeatedly judge whether it needs to read local files.

How to confirm successful configuration

  • Check the running logs of the scheduled pull task. Confirm that a pull operation is triggered once at a fixed time each day, and the pulled fields exactly match the preset DATA_FIELD_WHITELIST.
  • Import a set of test data containing mixed units. Check that all field units in the model input are unified to the preset commonly used domestic units, confirming that the UNIT_CONVERSION_MAP takes effect.
  • Simulate a 1 to 2 day data gap scenario. Check whether the preset alert rule is triggered, confirming that the constraint of the MAX_MISSING_ROWS_ALLOWED parameter takes effect.
  • Import a complete single batch of chemical fiber data. Check that the model input content is not truncated, confirming that the maxContext parameter setting adapts to the current data length.

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.