What This Category of Data Looks Like
The data for cement financing daily reports comes from daily submissions by regional building material industry associations, sales payment ledgers of cement production enterprises, and public transaction records from third-party supply chain finance platforms. Full data for the previous day is updated before 2 AM each day. Each daily report document is divided into sections by administrative region. Each section includes fields such as cement grade, daily financing transaction amount, number of financing transactions, qualification level of fund providers, approved credit limit, and more. The unit for amount is ten thousand RMB, and the unit for term is calendar day. Some sections also include supplementary financing details for cross-region transfers.
Constraints Imposed by These Characteristics on Model Access and Configuration
The multi-dimensional grouping feature of regions and grades requires configuring parsing rules that support multi-field grouping during model access, to avoid deviations in aggregation results. The daily update schedule requires configuring a daily scheduled pull task, and enabling the incremental sync switch to reduce redundant calculations. Mixed field types (numeric amounts, qualification enumerations, date formats) require enabling the model's automatic multi-type field recognition function, to prevent numeric fields from being misidentified as text. Format differences across multiple data sources require configuring field mapping rules to unify the expression formats of fund providers and cement grades, to avoid matching deviations for identical types of data.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
segment length | 800–1200 characters | The regional section content of a single cement financing daily report is approximately 800-1200 characters. Setting the segment length this way ensures each segment contains complete regional financing information, preventing loss of associations across segments. |
maxContext | 8000–12000 characters | The total text length of a full daily report is approximately 6000-10000 characters. This setting reserves sufficient context to accommodate fully parsed full data and prompt instructions. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing data across multiple regions and grades requires traversing multiple subsections. The timeout period must cover the complete parsing process. |
similarity threshold | 0.75–0.85 | Variations exist in the expression of cement grades and regional names. A threshold that is too low will introduce irrelevant matches, while a threshold that is too high will miss financing data for the same region and grade. |
recall count | Top 10 entries | The number of daily financing entries for a single region typically does not exceed 8. Recalling 10 entries covers all valid data while avoiding redundancy. |
rerank return count | Top 5 entries | Core analysis of financing daily reports only requires displaying the top 5 high-priority financing entries, which aligns with business viewing habits. |
The parameter values provided on this page are common recommended starting points for defining configurations. 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 Misconfigurations
- Symptom: After offline deployment, clicking "Model Test" returns a request error with status code 400. Cause: The locally deployed model address was not configured in the
API_BASE_URLparameter, so FastGPT cannot connect to the local model service. - Symptom: The cement grade field is empty in the financing data returned by the model. Cause: The automatic multi-type field recognition function was not enabled, so numeric grade codes were misidentified as invalid text without automatic conversion.
- Symptom: Scheduled sync tasks do not update data as planned. Cause: The
schedule_intervalparameter was not configured with a cron expression matching the daily report update schedule, so the pull cycle mismatches the data update cycle.
How to Confirm Configurations Are Correct
- Run the model test function, input sample text from a single cement financing daily report, and verify that all configured field contents appear in the returned results.
- Check the scheduled task log to confirm that the pull task triggers around 2 AM daily, and that there are no error records for parsing timeouts or connection failures.
- Compare the financing entries returned by the model with the regional and grade information from the original daily report, to confirm that matching results align with business expectations.
- Adjust the
segment lengthparameter, re-parse the full daily report, and verify that the segmented text fully covers all regional sections.
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.