What the data for this category looks like
The data for crop farming financing daily reports mainly comes from the Ministry of Agriculture and Rural Affairs’ crop farming monitoring ledger, local agricultural business entity financing registration systems, and loan data from policy-based and commercial agricultural-related financial institutions. Data is updated on a natural day basis, with summary documents for the previous working day generated daily. Documents are stored as structured tables, containing fields such as crop category, applicant entity type, credit limit, actual loan amount, loan term, loan institution, risk level, etc. Units are uniformly ten thousand yuan and days, and some fields include grading identifiers.
What constraints these characteristics impose on deployment and upgrade
Since data is updated incrementally on a natural day basis, trigger rules for scheduled synchronization tasks must be configured during deployment to avoid excessive cluster resource usage from full synchronization. Structured fields include graded risk identifiers and multi-dimensional entity information, so field mapping rules must be configured in advance during deployment to ensure only valid financing fields are indexed. During upgrades, compatibility with old data field formats must be maintained to avoid indexing failures caused by missing fields. Additionally, crop farming financing data involves business entity privacy, so data desensitization parameters must be configured during deployment to anonymize fields such as entity names and contact information.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Structured documents for crop farming financing daily reports may contain multi-page summary data. The default parsing duration is insufficient; adjusting this ensures all fields are fully parsed |
UPLOAD_FILE_MAX_SIZE | 100 MB | A single structured file for crop farming financing daily reports typically does not exceed 100 MB. This value covers conventional file sizes while avoiding resource waste |
RECALL_TOP_N | Top 10 entries | Crop farming financing daily reports have many field dimensions. Retrieving too many entries increases context length. 10 entries cover core information for major financing entities and categories |
SIMILARITY_THRESHOLD | 0.75 | Field matching accuracy requirements for financing data are high. A threshold that is too low will introduce irrelevant financing records, while a threshold that is too high may miss valid matching items |
DATA_MASKING_ENABLED | Enabled | The data contains sensitive information of business entities. Enabling this configuration anonymizes sensitive fields |
CRON_EXPRESSION | 0 0 2 * * * | Matches the business statistics cycle of crop farming financing daily reports, ensuring synchronization and update of the previous day’s data are completed before 2 AM daily |
FASTGPT_MIN_VERSION | v0.9.0 and above | Some structured data parsing and data desensitization configurations are only supported in this version and later |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: The code execution node returns a
504 Gateway Timeoutstatus code. Cause: The parsing script for crop farming financing daily reports must process multi-dimensional structured fields, and the default timeout duration is insufficient, causing execution interruption. - Symptom: Index construction fails, with the log showing an
embedding model not founderror. Cause: The deployment path and port of the local M3E model were not specified in the FastGPT configuration, and the default cloud model was called instead. - Symptom: A container fails to start on a Kunpeng 920 chip and Kylin V10 system, displaying an
exec format error. Cause: The image version adapted for the Kunpeng architecture was not pulled, and an x86 architecture image file was used instead.
How to confirm the configuration is complete
- Run the preset scheduled synchronization task, and check if the task log displays the
Synchronization completedflag with no error messages. - Upload a test crop farming financing daily report document, and confirm that all fields are fully parsed with no missing content or garbled text.
- Initiate a retrieval based on the financing daily report, and confirm that the field matching degree of the returned results aligns with the preset similarity threshold.
- Check the status of the data desensitization switch, and confirm that sensitive fields have been anonymized.
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.