What the data for this category looks like
Data related to agrochemical product yield rates comes primarily from public quote databases of industry associations, factory price ledgers of upstream raw material manufacturers, and real-time ledgers of agricultural input dealers. There are two update schedules. Spot prices for basic agrochemical raw materials are updated every 2 hours. Daily yield rate reports for finished agrochemical products are generated in batches after 16:00 each day.
Each data entry includes category name, origin, active ingredient content, today's transaction price, cycle average price, quote unit, data release time, and source institution. Most field units are yuan/ton or yuan/kilogram. Some segmented categories list unit prices corresponding to packaging specifications.
What constraints do these characteristics impose on deployment and upgrade?
The data characteristics of agrochemical products impose multiple constraints on deployment and upgrade workflows. High-frequency updated spot data requires a scheduled pull task triggered every 2 hours. Without this, yield rate calculation results will lag behind market trends.
Daily batch-generated report data has a large volume. The chunked upload threshold must be adjusted to avoid upload timeouts.
Fields with mixed units require preset unified conversion rules during data cleaning. Upgrades must maintain compatibility with format differences between existing categories and new categories.
Additionally, data source interfaces have request frequency limits. Current limiting parameters must be configured during deployment to avoid access bans.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single agrochemical daily report contains multi-category quote data, with a large file size. Conventional timeout durations are insufficient to complete full parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | The volume of batch-imported daily report compressed packages usually exceeds the default threshold. This adjustment adapts to batch upload scenarios |
LLM_API_BASE | http://localhost:11434/v1 | Adapts the call address for local large model deployment, matching the interface format of mainstream local models |
Recall count | Top 8 entries | There are many agrochemical categories and similar aliases. Excessive retrieved entries introduce redundant information, while too few fail to cover core categories |
Similarity threshold | 0.72–0.78 | Multiple names correspond to the same product in agrochemical categories. This filters irrelevant retrieval results with low matching degrees |
SCHEDULER_INTERVAL | 7200 seconds | Spot prices for basic agrochemical raw materials are updated every 2 hours. This matches the update schedule to pull the latest quotes |
DOCKER_CPU_SHARES | 1024 | Adapts the basic computing resource requirements for Linux private deployment. This prevents task failures from insufficient resources during parsing or pulling |
PARSE_CHUNK_SIZE | 1500 characters | Single-segment quote descriptions in agrochemical daily reports are lengthy. This adapts the segmented parsing logic for long texts |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- A
'usage' KeyErrorerror is triggered after deployment. The cause is that large language model field mapping rules are not configured. Usage-type fields in agrochemical daily report data conflict with the usage field returned by the large model, leading to data parsing failure. - A
500 Internal Server Erroroccurs when creating a new knowledge base. The cause is that theUPLOAD_FILE_MAX_SIZEparameter is not adjusted. The batch-imported daily report compressed package exceeds the default threshold, triggering upload interception. - The service fails to start normally after deployment on a Linux system. The cause is that the
DOCKER_CPU_SHARESparameter is not configured. Insufficient basic computing resources lead to container resource exhaustion.
How to Confirm the Configuration Is Correct
- Manually upload a test agrochemical daily report document. Check whether the parsed data fields are complete and units are unified.
- Trigger a scheduled pull task. View the running logs to confirm there are no errors related to request current limiting or parsing timeout.
- Create a new knowledge base and import test data. Confirm that yield rate-related content for agrochemical categories can be retrieved, with no missing fields or format abnormalities.
- Adjust the
Similarity thresholdto the boundary values of its range. Retrieve content for similar categories. Confirm that irrelevant data with low matching degrees is correctly filtered.
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.