What the data for this category looks like
Data for cement intelligent due diligence reports comes primarily from China Building Materials Federation public reports, cement production enterprises monthly production ledgers, port shipping logistics data, and commodity trading platform quotes. Data update cycles fall into two categories: shipping and price data is updated daily, while production capacity and inventory data is updated monthly. Document structures are mostly structured Excel tables or PDF industrial reports, including fields such as production batch, cement grade (e.g., P.O42.5, P.C32.5), 3-day/28-day compressive strength, initial/final setting time, ex-factory unit price, and regional total inventory. Units are MPa, hours, yuan/ton, and tons, respectively.
Constraints on Tool Calling and Plugins
The multi-update cycles, specialized fields, and structured format of cement data impose multiple constraints on tool calling and plugin workflows. First, it is necessary to adapt to both daily updated price and shipping data and monthly updated production capacity and inventory data. Plugins must support scheduled pulling of data sources with different cycles to avoid expired or redundant data. Second, there is a high demand for precise matching of specialized fields such as cement grade and compressive strength. Plugins must have the ability to recognize specialized terminology to avoid field mapping errors. In addition, structured reports often have large file sizes. Plugins must support large file parsing and batch data pulling, and also verify unit consistency to ensure that data units in due diligence reports comply with industry standards.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Cement due diligence reports often contain multi-page structured industrial reports, and parsing large files requires a longer timeout period |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single-batch cement production capacity and inventory report files are often large, so upload limits need to be relaxed |
plugin_request_timeout | 300 seconds | Cross-industry data sources such as port logistics data and building materials association public APIs have relatively high response delays, so timeouts need to be extended |
field_matching_threshold | 0.85–0.9 | Cement data includes precise fields such as specialized grades and strength parameters, so field matching accuracy needs to be improved |
plugin_batch_count | First 3 entries | Cement due diligence requires prioritizing access to three core types of latest data: production capacity, price, and inventory, so limiting the number of batch returns focuses on core indicators |
plugin_enable_proxy | Enabled, configure httpsproxy://{proxyhost}:{proxy_port}` | Some building materials industry data sources require proxy access to adapt to cross-regional data pulling requirements |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Symptom: HTTP plugin calls to building materials industry data sources return
403 Forbiddenor connection timeout. Cause: No proxy configured, or proxy parameter format is incorrect, making it impossible to access cross-regional industry data sources. - Symptom: After parsing cement report files, specialized fields such as cement grade and compressive strength are empty or matched incorrectly. Cause:
field_matching_thresholdis set too low, resulting in insufficient accuracy for specialized term matching, or structured file parsing mode is not enabled. - Symptom: The first plugin call response delay exceeds 10 seconds, while subsequent calls are normal. Cause: Plugin service is not pre-warmed, or
plugin_request_timeoutis set too short, causing first request timeout retries that lengthen initial response time.
How to Verify Correct Configuration
- Upload a local cement industrial report file, verify that the parsed fields include core parameters such as production batch, cement grade, and compressive strength, and that units match correctly.
- After configuring the proxy, call a public building materials data source API, verify that data can be returned normally with no connection errors.
- Initiate the first plugin call, record the response time, and confirm no excessive initial delay.
- Adjust
field_matching_thresholdto the target range, test the matching accuracy of specialized fields, and confirm it meets due diligence requirements.
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.