What the data for this category looks like
Data sources for apparel and home textile research reports used in financial investment research include publicly available industry reports from national textile and apparel industry associations, regular periodic announcements of listed apparel and home textile enterprises, and professional textile and apparel subdivision databases. Update frequency follows fixed monthly industry report updates, quarterly in-depth research report releases on schedule, and real-time synchronization of enterprise announcements. Documents mostly use multi-chapter structures, including content such as product category sales volumes, raw material price fluctuations, and terminal channel layouts. Fields include SKU unit price, fabric gram weight, and number of terminal stores. Common units are yuan/piece, gram/square meter, and store.
What constraints do these characteristics impose on deployment and upgrade?
High-frequency updates, long document structures, and special field features of apparel and home textile research reports for financial investment research create multiple constraints for deployment and upgrade. Stable scheduled pull tasks must be configured during deployment to meet high-frequency synchronization requirements, preventing data lag that affects investment research timeliness. Parsing timeout thresholds and segmentation parameters must be adjusted for long document structures, to avoid parsing interruptions that cause missing research report content. Field mapping rules must be pre-configured for multiple fields with special units, to ensure unified units during retrieval and avoid deviations in investment research conclusions. For cross-version upgrades, compatibility must be maintained for newly added fields such as fabric gram weight and number of terminal stores. Field compatibility of old version data must also be verified, to prevent data loss or parsing exceptions after upgrade.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Apparel and home textile research reports often contain multi-page charts and data tables, the default timeout is insufficient for complete parsing |
UPLOAD_FILE_MAX_SIZE | 200 MB | Single research report files are usually large, need to adapt to the upload requirements of long documents |
maxContext | 8000–12000 characters | Research report content is dense, sufficient context is needed to correlate cross-chapter subdivision data such as fabric and sales volume |
RECALL_TOP_N | Top 10 entries | Apparel and home textile research reports have many subdivision dimensions, sufficient content needs to be recalled to cover different data points |
SIMILARITY_THRESHOLD | 0.70–0.80 | Need to filter low-correlation general industry content to accurately match subdivision information of apparel and home textile categories |
AUTO_SYNC_INTERVAL | Every 30 days | Match the monthly update cycle of industry research reports to meet the timeliness requirements of financial investment research |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require on-site analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- The symptom is a
MongoConnectionErrorerror appearing several hours after startup in a Docker deployment environment, preventing database connection. The cause is missing configuration of the MongoDB connection timeout reconnection mechanism, and container network policy changes matching host machine rules leading to connection interruptions. - The symptom is that after upgrading from V4.9.11 to V4.10, some fields including fabric gram weight and number of terminal stores cannot be retrieved correctly for certain research reports. The cause is skipping the intermediate version with field mapping updates, and failing to execute the corresponding migration script, resulting in incompatible field structures.
- The symptom is insufficient returned results after parsing uploaded research report files. The cause is that the
RECALL_TOP_Nparameter value is set too low, and cross-document recall configuration is not enabled, making it impossible to cover multi-chapter content of long research reports.
How to verify successful configuration
- Upload a single apparel and home textile research report to the platform, check the parsing log to confirm that custom fields such as fabric gram weight and number of terminal stores are included, and that field mapping configuration takes effect.
- Review the running log of the scheduled synchronization task, confirm that the completion time of the most recent synchronization task matches the research report update cycle, with no failure errors.
- Initiate a retrieval query containing apparel and home textile subdivision categories, check that the document sources of returned results include apparel and home textile industry research reports, and that no unit inconsistency issues exist.
- Perform a version upgrade operation in the test environment, check that the database migration script executes successfully, with no field conflict or data loss errors.
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.