What the data for this category looks like
Agrochemical product research report data primarily comes from publicly monitored data from industry associations, regular reports of listed agrochemical enterprises, in-depth industry reports from securities firms, and public agricultural material supervision and disclosure information from the Ministry of Agriculture and Rural Affairs. Update cycles cover monthly price monitoring, quarterly industry supply and demand analysis, and annual industrial planning reports. Document structures mostly include core indicator tables of industrial chains, compiled policy clauses, and upstream and downstream supply and demand calculation data. Fields include active ingredient content (unit: %), annual production capacity in ten thousand tons, ex-factory price in yuan per ton, export volume in ten thousand tons, and some reports include compliance test data and patent authorization information.
What constraints do these characteristics impose on deployment and upgrade
Agrochemical product research reports contain structured production capacity and price tables, plain-text policy clauses, and unstructured patent data. During deployment, multi-format parsing rules must be configured to adapt to extraction logic for different data types. The high-frequency update cycle of monthly monitoring data and quarterly industry reports requires the upgrade process to support incremental synchronization, to avoid full data reprocessing that consumes system resources. Unified field units (such as ten thousand tons per year, yuan per ton) require unit standardization mapping to be configured during deployment, to prevent unit confusion in retrieval results. For offline deployment scenarios, the synchronization delay of local data sources requires adding an incremental data verification process during the upgrade stage, to ensure data consistency.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Agrochemical research reports often include multi-page industrial chain data and long tables, so longer timeout times are needed for long document parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single in-depth agrochemical research reports typically do not exceed 800 MB, so a reasonable upper limit is reserved to avoid upload failures |
maxContext | 800–1200 characters | Core indicator and policy interpretation paragraphs of agrochemical research reports usually fall within this length range, covering key retrieval information |
Recall Count | Top 8 entries | Agrochemical industry data is often scattered across different report chapters, and 8 entries can cover complete industrial chain-related information |
Similarity Threshold | 0.72–0.85 | Agrochemical terminology is highly specialized, and this range filters out low-relevance results while retaining associated data for specific product categories |
PARSE_CHUNK_SIZE | 1500 characters | Tables and paragraphs in agrochemical research reports are closely linked, and 1500 characters preserves complete data units to avoid parsing breaks |
The parameter values provided on this page are standard recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific situations require individual analysis, and testing on internal samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- Symptom: After deployment, the login interface prompts "invalid username or password", and the API returns status code 401. Cause: Environment variables
ADMIN_USERNAMEandADMIN_PASSWORDare not configured correctly, or the .env configuration file is not loaded during deployment. - Symptom: After offline deployment, uploading agrochemical research reports returns no text extraction results, and logs show
parse failed: no text extracted. Cause: The official parsing dependency package is not mounted in the offline environment, or the loading path of the local structured parsing module is not configured. - Symptom: When deploying with Docker Desktop on Mac devices, the container fails to start, with the error "volume mount permission denied". Cause: Docker Desktop has not been granted file system access permissions, resulting in failure to mount the local research report data directory.
How to Verify Configuration Validity
- The management backend is accessed and logged into, with verification that the configured values for
ADMIN_USERNAMEandADMIN_PASSWORDmatch the entered values, confirming that the login process completes normally. - A single agrochemical research report is uploaded, with checks that the parsing task status is completed and the extracted text has no key data breaks, confirming that the parsing configuration takes effect.
- A non-login link is accessed via another device, with confirmation that the page loads normally and retrieval requests can be initiated, confirming that the network configuration takes effect.
- Incremental synchronization logs are viewed, with confirmation that only new data sources are processed and no prompts for full re-run resource consumption appear, confirming that the update configuration takes effect.
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.