What this category of data looks like
Industrial metal financing daily report data comes from domestic futures exchange warehouse receipt daily reports, commercial bank pledge financing ledgers, and daily monitoring data from non-ferrous metal industry associations. Updates are released 1 to 2 hours after market close on each trading day. Documents use structured tables as their core format, with short notes for daily market price fluctuations. Core fields include product name, warehouse receipt quantity, pledge financing amount, delivery warehouse name, financing institution name, and report date. Warehouse receipt quantity uses tons as its unit. Pledge financing amount uses ten thousand yuan as its unit.
What constraints these characteristics impose on model access and configuration
These characteristics create multiple constraints for model access and configuration. Fixed daily update timeliness requires scheduled triggers aligned with trading day schedules. This prevents calls to invalid non-trading day data. Structured tables as the core document format require the document parsing module to support structured table extraction. This avoids converting table content into meaningless plain text segments. The combination of multiple entity and numeric fields requires recall configurations to support precise multi-field matching. Parsing processes must automatically bind units to numeric fields. This prevents unit confusion during subsequent reasoning.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLED | Enabled | Industrial metal financing daily reports use structured tables as their core format. Enabling this setting fully extracts fields and numeric values, preventing information loss |
SIMILARITY_THRESHOLD | 0.75–0.85 | Precise multi-field matching is required. A threshold that is too low introduces irrelevant financing entries. A threshold that is too high omits relevant product data |
RECALL_TOP_N | Top 8–12 entries | Each daily report contains multiple industrial metal entries. This range recalls enough entries to cover target analysis scope while avoiding redundancy |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Daily report tables include multiple industrial metal entries. Parsing takes significant time. Setting 300 seconds prevents mid-process timeout interruptions |
SCHEDULE_CRON_EXPRESSION | 0 18 * * 1-5 | Aligns with the 1 to 2 hour post-close update window for trading days. Triggers tasks at 18:00 every Monday through Friday |
UPLOAD_FILE_MAX_SIZE | 50 MB | Individual industrial metal financing daily report files typically do not exceed 50 MB. This setting accommodates standard file sizes |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: After configuring a knowledge base-associated model, calls still prompt that the text understanding model is not configured, or returned structured fields are empty. Cause: The knowledge base's text understanding model is not bound to the industrial metal financing daily report data source. Only the conversation model was configured, not the dedicated model for the document parsing process.
- Symptom: Calls to a locally privately deployed model return
500 Internal Server Error. Background logs show the model response format does not meet requirements. Cause: The locally private model does not adapt to FastGPT's standard API response format, and does not return structured output fields that comply with specifications. - Symptom: After configuring a file URL, the model cannot read the corresponding industrial metal financing daily report content, and returns a prompt stating "the specified file cannot be obtained". Cause: No access permission for this file URL was added in the data source configuration, or no reasonable file pull timeout parameter was set.
How to confirm configurations are correct
- Manually trigger a document parsing task, then check if the parsed structured fields include core fields for industrial metal financing daily reports, such as product name, warehouse receipt quantity, and others.
- After configuring the scheduled task, wait for the next trading day's update window, then check if the data source automatically pulls and parses the latest daily report file.
- Call the model for testing, then check if the returned results include multi-field matched financing entries, and numeric fields have correct attached units.
- Check background logs to confirm no timeout, format error, or permission denied error messages appear during model calls.
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.