What this category’s data looks like
Data sources include supply chain finance backends of home appliance brands, regional dealer financing reporting systems, and business ledgers from loan institutions. Full daily data synchronization completes at midnight every day. Each data document corresponds to the daily financing details of a single financing entity. Data is stored in structured CSV or JSON format. Core fields include 融资主体统一社会信用代码, 当日融资笔数, 单笔最高融资金额（元）, 融资用途对应家电SKU范围, 放款机构名称. Units: 单笔最高融资金额（元） uses yuan, 当日融资笔数 uses transactions, SKU数量 uses individual units.
What constraints do these characteristics impose during deployment and upgrade
Multi-data source access demands strong adaptation. Interface formats and field naming differ across brand and dealer systems. Set up flexible field mapping rules. The daily full synchronization schedule requires precise scheduled task trigger parameters during deployment. This avoids conflicts with business peak hours. The 融资用途对应家电SKU范围 field requires knowledge base classification rules to be updated during upgrades. This adapts financing data classification for newly added home appliance SKUs. A deduplication logic must be configured for the financing entity’s unique identifier field. This prevents storage redundancy caused by duplicate data imports. Data volume shifts with the number of dealers. Reserve adjustable database connection pool parameter space.
How to set configurations
| Configuration Item | Recommended Value | Rationale for This Setting |
|---|---|---|
MONGODB_URI | mongodb://myu@localhost:27017/fastgpt?authSource=admin | Adapts to the MongoDB connection format for local Win10 deployments, resolves common user connection failure issues |
SYNC_CRON_EXPRESSION | 0 0 3 * * * | Triggers synchronization at 3 AM daily, avoids most business peak hours, matches the daily update schedule for white goods financing daily reports |
PARSE_FIELD_MAPPING | {"Financing Subject Unified Social Credit Code": "cred_code", "Daily Financing Transaction Count": "loan_count", "Maximum Single Financing Amount": "max_amt"} | Maps data source fields to standardized field names recognizable by FastGPT, adapts to format differences across multiple data sources |
MAX_SYNC_RECORDS_PER_RUN | 5000 entries | Balances synchronization efficiency and server load, adapts to the daily data scale of white goods dealer groups |
DEDUPLICATE_FIELD | Financing Subject Unified Social Credit Code, Sync Date | Deduplicates based on the combination of financing entity and synchronization date, prevents duplicate imports of financing data for the same entity on the same day |
PNPM_VERSION_REQUIRE | >=9.0.0 | Adapts to deployment requirements for FastGPT 4.8.7 and later versions, matches official version dependency rules |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. Testing on local samples is recommended before finalizing settings.
Three common mistakes
- Symptom: FastGPT cannot connect to a locally deployed MongoDB on Win10, with a
connect ECONNREFUSEDerror in logs. Cause: The local host address and port are not correctly specified inMONGODB_URI, or the MongoDB service is not running normally. - Symptom: Duplicate financing records appear in the daily synchronized financing daily report. Cause: The
DEDUPLICATE_FIELDparameter is not configured, or only a single field is used for deduplication, without combining the synchronization date to deduplicate records for the same entity on the same day. - Symptom: Extra
0value fields appear in the financing details returned by tool calls. Cause: Null value fields in the data source are not filtered during field mapping, or no null value replacement rules are configured inPARSE_FIELD_MAPPING, resulting in invalid data being imported.
How to confirm configurations are correct
- Run the built-in database connection test in FastGPT. Check if the configured database collection can be read normally, confirm that the
MONGODB_URIconfiguration takes effect. - Manually trigger a small synchronization task. Check the field integrity of the synchronization records, verify that
PARSE_FIELD_MAPPINGcorrectly maps core financing fields. - View the synchronization task run logs. Confirm that no duplicate records or invalid null value fields appear, verify the effectiveness of the
DEDUPLICATE_FIELDand null value handling configurations. - Temporarily adjust
SYNC_CRON_EXPRESSIONto a test time slot. Verify that the scheduled task triggers as expected, confirm that the synchronization schedule matches the configured requirements.
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.