What the Data for This Category Looks Like
The data sources for jewelry financing daily reports include domestic precious metal spot trading platforms, daily wholesale monitoring data from domestic jewelry industry associations, and daily supply chain financial loan data from partner banks. Data updates are completed before 2:00 AM daily, covering full data for the previous day. Documents use structured JSON format, including fields such as release_date, product_category, raw_material_unit_price, financing_approval_amount, daily_transaction_count, supplier_id, and others. The unit for raw_material_unit_price is typically yuan per gram or yuan per kilogram. The unit for financing_approval_amount is ten thousand yuan. daily_transaction_count is an integer statistical value.
Constraints on Deployment and Upgrade
The data sources for jewelry financing daily reports are scattered, with strict update timeliness requirements. Precise scheduled pull tasks must be configured to avoid import failures caused by unready data. There are many jewelry subcategories, including gold jewelry, silver jewelry, inlaid jewelry, and others. Filter rules by category and date must be configured in the vector database to improve retrieval accuracy. The data includes two unit types for unit price: gram and kilogram. Unit normalization logic must be configured during the data preprocessing stage, otherwise retrieval dimension confusion will occur. Multiple data source connections require independent authentication parameters. The upgrade process must be compatible with legacy data source interfaces to avoid data outages. When adding new jewelry categories, there is no need to repackage the image. Dynamic configuration of category metadata must be supported to adapt to business expansion.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
FETCH_FINANCING_DATA_CRON | 0 1 0 * * ? | Jewelry financing daily report data sources complete updates before 0:00 daily. Pulling data at 1:00 AM daily ensures complete previous-day data is obtained |
UNIT_NORMALIZATION_RULE | {"raw_unit": ["gram", "kilogram"], "target_unit": "gram", "conversion": {"kilogram": 1000}} | Jewelry raw material quotes use two units: gram and kilogram. Unifying to gram standardizes retrieval dimensions |
VECTOR_RECALL_FILTER_FIELDS | ["product_category", "release_date"] | There are many jewelry subcategories. Filtering by category and date eliminates irrelevant data and improves recall efficiency |
PARSE_DATA_TIMEOUT_SECONDS | 300 seconds | Merging multiple data sources and performing unit normalization takes a long time. This avoids interrupting the data import process due to timeout |
MAX_BATCH_IMPORT_SIZE | 400 records per batch | The single-batch import data volume is moderate, avoiding exceeding container memory limits |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to perform testing on internal test samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: After deploying via Docker, accessing the interface returns
500 Internal Server Error. Logs contain the promptgetPluginGroups failed, and the interface shows that the commercial version link is not configured. Cause: The open-source code does not disable commercial version interface verification, and theDISABLE_COMMERCIAL_PLUGINSparameter is not correctly configured, causing the program to attempt to call unauthorized commercial interfaces. - Phenomenon: When importing jewelry financing daily report data, some raw material unit price fields show empty values, and unit confusion appears in search results. Cause: The
UNIT_NORMALIZATION_RULEparameter is not configured, and the two units of gram and kilogram are not unified, resulting in abnormal data parsing. - Phenomenon: The MongoDB container fails to start. Replacing the
mongo:4.4.29image still prompts version incompatibility. Cause: MongoDB AVX instruction detection is not disabled, or the MongoDB image variant adapted to CPUs without AVX instructions is not used. The FastGPT MongoDB driver version does not match the image version.
How to Confirm Proper Configuration
- Manually trigger a financing daily report data pull task, and check whether there are records of data source pull failures or data parsing errors in the logs.
- Search for financing daily report data of a specified category, and confirm that the returned result fields include preset fields such as
product_categoryandraw_material_unit_price, and the units are unified. - Access the interface
/api/plugin/getPluginGroups, and confirm that the returned results do not include commercial version exclusive plugins, and there are no prompts about unconfigured commercial version links. - View the MongoDB container running logs, and confirm that the connection is successful and there are no error messages about version incompatibility.
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.