What data for this category looks like
Baijiu financial report data mainly comes from periodic reports publicly disclosed by domestic and overseas stock exchanges, and operation monitoring data released by domestic professional wine industry associations. Update cadence: full annual reports are updated once every 12 months, semi-annual reports once every 6 months, and quarterly operation data once every 3 months. Documents are presented in a combination of structured tables and paragraph text, including core operating indicators, production capacity and inventory, channel structure, cost composition, etc. Revenue and per-ton liquor selling price are denominated in RMB yuan, production and sales volume are denominated in kiloliters. Some segmented category reports also include data related to base liquor storage volume.
What constraints do these characteristics impose on HTTP interfaces and external systems
The multi-cycle update cadence of baijiu financial reports requires HTTP interfaces to support pulling data by annual, semi-annual, and quarterly dimensions, and to be compatible with field differences across cycles. The mixed structured and unstructured document structure requires interfaces to support both structured field queries and full-text retrieval. Segmented reports that include base liquor storage need additional matching of dedicated field parsing rules. Fixed units for fields such as production and sales volume and revenue require interfaces to return data in a unified format, avoiding unit conflicts across data sources. Long report texts require interfaces to support paginated pulling, preventing the one-time returned data volume from exceeding transmission limits. The need to access multiple data sources requires interface configurations to support multiple sets of authentication parameters, adapting to different interface specifications from exchanges and industry associations.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | The text length of baijiu annual reports is generally long, and standard timeout durations are insufficient to complete full parsing |
MAX_BATCH_SIZE | 50 entries | Excessive single-batch data volume easily triggers interface rate limits. Single entries of baijiu financial report data have large volume, so 50 entries is a reasonable balance between efficiency and stability |
FIELD_FILTER_RULES | Include revenue, production and sales volume, base liquor storage volume | Core analysis dimensions of baijiu financial reports include the above fields. Pulling corresponding data first improves processing efficiency |
DATA_SYNC_CRON | 0 0 2 * * * | Exchange-disclosed data is typically updated after trading hours. Synchronizing at 2 AM daily ensures access to the latest public data |
API_AUTH_TYPE | Multi-source mixed authentication | Connections to both exchange public interfaces and industry association private interfaces are required, adapting to different authentication logic |
RESPONSE_UNIT_CONVERT | Enabled | Unit formats vary across data sources. Unifying units prevents calculation errors in subsequent analysis |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- The symptom is inconsistent token consumption displayed by the system when calling the model to query financial report data stored in MongoDB, compared to the actual token consumption of the API call. The cause is that the original financial report text pulled from MongoDB includes uncompressed line breaks and formatting characters. The text actually processed by the model differs from the preprocessed text counted by the system.
- The symptom is a "message": "Failed to fetch" error returned when accessing the FastGPT application API interface via an external client. The cause is that the interface has not been configured with cross-origin allow rules, or the service port of the local deployment has not been opened for external access permissions.
- The symptom is normal calls to the MySQL query service using an online large model, but invocation errors occur after switching to a locally privately deployed model with the same parameters. The cause is that the API interface of the locally deployed model has not been correctly configured with a response format, or the service port has not been opened for external access permissions.
How to confirm the configuration is complete
- Initiate a single HTTP interface request to pull single-quarter baijiu financial report data, and verify that the returned fields include the preset core indicators.
- Check the interface call logs to confirm that the authentication parameters of the request match the configured authentication rules, with no authentication failure records.
- Test the scheduled synchronization task trigger to confirm that the latest financial report data is pulled automatically at the specified time, with no timeout or failure prompts.
- Adjust the field filtering rules to verify that the returned results only include the specified configured fields, with no redundant data.
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.