What Data for This Category Looks Like
Data on yield rates and market trends for the condiment category comes from domestic food and beverage industry monitoring databases, offline supermarket POS collection systems, and brand monthly operation briefings. Update cycles vary across sources: offline sales data updates weekly, official brand quotes update every two weeks. Most documents are structured table files with SKU-level detailed entries. Core fields include full product name, packaging specification, supply unit price, terminal retail unit price, channel coverage proportion, and sales change volume within the cycle. Unit price units are mostly yuan per kilogram or yuan per bottle. Sales change volume units are pieces or kilograms.
What Constraints These Characteristics Impose on Workflow Orchestration
Dispersed data sources with inconsistent update cycles require configuring parallel trigger nodes for multiple data sources. This avoids serial waiting that extends total runtime. Single files contain large numbers of SKU entries. Configure nodes to split data blocks by SKU dimension, to prevent single-node processing overload that causes runtime errors. Units vary across different channels. Add unit conversion rules during the data cleaning phase to unify units to yuan per kilogram or yuan per bottle. Some data sources are unstructured brand briefing images. Configure OCR nodes to first convert the format, then extract structured fields.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single condiment sales data file contains thousands of SKU entries, with significantly higher parsing time than general scenarios |
UPLOAD_FILE_MAX_SIZE | 200 MB | Monthly operation data files for the condiment category usually include detailed content across multiple channels and SKUs, with large file sizes |
workflow_parallel_count | 8 | When pulling multiple data sources in parallel, avoid runtime errors caused by node resource competition |
data_chunk_size | 500 items/block | Split data blocks by SKU dimension, balancing single-node processing load and total runtime |
FIELD_MATCH_THRESHOLD | 0.9 | Precisely match core fields such as SKU names and packaging specifications, to avoid data extraction errors |
OCR_ENABLED | Enabled | Some brand operation briefings are in image format, requiring OCR conversion to extract structured data |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: A syntax error prompt "offset 17" appears in workflow logs. Cause: Unformatted unstructured brand briefing content causes field offset anomalies during large model parsing.
- Phenomenon: The file upload interface prompts "network error" in FastGPT 4.14.3. Cause: Failure to adjust
UPLOAD_FILE_MAX_SIZEto match condiment data files, leading to upload failure due to exceeding default limits. - Phenomenon: Workflow runs terminate automatically after more than 2 minutes. Cause: Failure to adjust
PARSE_FILE_TIMEOUT_SECONDS, using the default short timeout that cannot complete parsing of large volumes of SKU data.
How to Confirm Configuration Is Complete
- Upload a small-scale condiment data test file, check that the file parsing progress bar completes normally with no interface error prompts.
- Review the output results of each workflow node, confirm that the extracted core fields match the original data.
- Review the workflow runtime logs, confirm that the number of started parallel nodes matches the configured
workflow_parallel_count. - Test the multi-data source parallel trigger scenario, confirm that all nodes have no abnormal conflicts in runtime status.
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.