What the data for this category looks like
Steel trade financing daily report data comes from internal enterprise inventory and sales systems, partner bank credit ledgers, and transaction records from third-party bulk commodity trading platforms. The update cadence is daily T+1: complete trading and financing data for the previous calendar day is generated on the current day. Most data files use structured CSV or JSON formats, with fixed fields: trade_date (transaction date, YYYY-MM-DD format), steel_grade (steel grade), delivery_volume (delivery volume, unit: tons), financing_amount (financing amount, unit: ten thousand yuan), transaction_price (transaction unit price, unit: yuan/ton), supplier_name, buyer_name, and others. Field naming and units strictly follow general domestic steel trade industry specifications.
What constraints these characteristics impose on deployment and upgrade
Fixed daily update requirements demand precise scheduled task trigger rules during deployment. During the upgrade process, original trigger configurations must be retained, otherwise daily report updates will be delayed. The requirement for structured fields and fixed units demands field mapping verification logic be configured during deployment. After upgrading, if parsing rules are adjusted, re-verify field matching and unit consistency to avoid data parsing errors. The large file data volume characteristic demands adjustment of upload and parsing timeout and size thresholds during deployment. During upgrade, ensure these configurations are not reset by default. The need for multi-data source docking demands cross-source permission verification be configured during deployment. During upgrade, synchronously update data source connection configurations to avoid failure to pull external data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Steel trade financing daily reports contain multiple transaction details per file, with long parsing times, to adapt to parsing needs for large-volume structured data |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Monthly aggregated steel trade financing data files are large, need to break through conventional upload thresholds to support complete data import |
maxContext | 8000–12000 characters | Daily reports contain structured text with multiple fields, need sufficient context length to retain complete field descriptions and associated transaction information |
| Scheduled task trigger frequency | 02:00 daily | Industry financing daily reports use T+1 updates, need to complete pulling and parsing previous day's data in the early morning of the next day, to avoid peak business hours |
| Field mapping verification switch | Enabled | Steel trade financing daily report field units and naming follow fixed industry specifications, need to verify field matching and unit consistency to avoid parsing errors |
API_REQUEST_TIMEOUT | 600 seconds | When docking with external bulk commodity trading platforms, data pulling may take a long time, need to extend API request timeout duration |
The parameter values provided on this page are all common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After running the upgrade script, the scheduled task status shows
503 Service Unavailable. The cause is that the original scheduled task trigger configuration for02:00 dailywas not retained during the upgrade process, resulting in interrupted data pulling. - Phenomenon: Calling the speech recognition interface returns
400 Bad Request, with the error messageinvalid audio format. The cause is that the FastGPT built-in/v1/audio/transcriptiinterface path was incorrectly written astranscripti, and audio format matching was not verified. - Phenomenon: Conversation log queries show no results. The cause is that the
LOG_RETENTION_DAYSparameter was not configured indocker-compose.yml, resulting in automatic log cleanup by default, and no persistent log volume was mounted.
How to confirm the configuration is complete
- Manually upload a test steel trade financing daily report file, check if parsed fields are complete and units match preset specifications.
- View scheduled task logs, confirm that the pulling and parsing tasks triggered at
02:00 dailyexecuted successfully with no timeout errors. - Call the configured data source interface, check if external trading platform data can be pulled normally, with a return status code of
200 OK. - View the docker container log directory, confirm that log files are persistently saved with no automatic cleanup prompts.
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.