What the data for this category looks like
Data sources include industry association public ledgers, real-time supplier quotation APIs, and third-party standardized chemical data APIs. Spot prices are updated daily, supply and demand balance data is updated every ten days, and compliance test reports are updated monthly. Each document record contains three types of fields:
- Identification fields: unique code, CAS number
- Attribute fields: purity grade, packaging specification, origin
- Status fields: current quotation, inventory balance, update time
Packaging specifications are measured in kilograms. Quotations are quoted in Chinese Yuan per metric ton. Field order varies across different data sources.
What constraints these characteristics impose on deployment and upgrade
Data sources include multiple APIs and structured ledgers. Multi-source authentication and format conversion rules must be configured during deployment to adapt to the return structures of different APIs. Fields include unique identification and multi-dimensional attribute types. Exclusive indexes must be configured for CAS number and raw material name in the vector database to avoid duplicate or missed retrievals.
Update cycles vary significantly across different data sources. Independent scheduled synchronization tasks must be configured for each data source to prevent synchronization conflicts or expired data. New compliance test fields added during upgrades require synchronous updates to the vector database structure. The field mapping logic for existing stock data must also be compatible to prevent retrieval logic failures. Additionally, unit differences in packaging specifications must have unified rules configured during the deployment phase to avoid deviations in subsequent data cleaning.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATASOURCE_SYNC_INTERVAL | 300–86400 seconds | Short intervals are used for spot price synchronization, long intervals for supply and demand data synchronization to adapt to the update frequencies of different data sources |
VECTOR_DB_INDEX_FIELDS | ["cas_no", "raw_material_name"] | These two fields are core identifiers. Configuring exclusive indexes can improve retrieval accuracy |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Compliance test reports for chemical raw materials are often large files, so the upload limit must be adapted |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large test reports takes a long time, so the timeout period must be extended |
DUPLICATE_REMOVE_ENABLED | true | Multi-source synchronization easily generates duplicate data. Enabling deduplication ensures data uniqueness |
SYNC_DATASOURCE_AUTH | Determined through actual testing | Authentication methods vary significantly across different chemical data platforms, so it is necessary to adapt to the API’s key or token parameters |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on samples specific to the deployment before finalizing the values.
Three Common Misconfigurations
- Phenomenon: After starting the container, logs show
database connection refusedand initialization cannot be completed. Cause: TheDB_CONN_STRparameter is not configured correctly, or the local database service is not started, which prevents FastGPT from establishing a database connection. - Phenomenon: Port 3000 is inaccessible, but the container status shows normal. Cause: The host port and container port
3000are not mapped, or the host firewall blocks traffic on port 3000. - Phenomenon: Synchronized raw material data has mixed units, such as both kilograms and tons appearing in packaging specifications. Cause: The
FIELD_MAPPING_RULESparameter is not configured, and the unit format of multi-source data is not unified, leading to failed data cleaning.
How to Verify Successful Configuration
- Check container runtime logs to confirm there are no database connection error reports.
- Test the connectivity of the configured chemical data APIs in the data source module of the FastGPT management backend.
- Trigger a manual data synchronization and check if the synchronized data fields match the preset mapping rules.
- Submit a raw material retrieval request to confirm that the returned results include the configured index fields.
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.