What the data for this category looks like
Data sources for coking coal intelligent due diligence reports include public monitoring data from the national coal industry association, production ledgers from major producing area mines, commodity inspection reports from core ports, and futures delivery filing information. Update cycles are divided into multiple dimensions: spot outbound and port inventory data are updated daily, industry supply and demand weekly reports are released weekly, and quarterly delivery quality inspection reports are updated monthly. Document formats include single 10 to 50-page PDF quality inspection and due diligence documents, as well as batch structured Excel/CSV ledgers. Core fields include mine site name, production batch, dry basis ash content, dry basis volatile matter, total sulfur content, calorific value, delivery grade, and outbound date. The unit of calorific value is megajoules per kilogram. Total sulfur content is calculated on a dry basis, with a unit of milligrams per kilogram.
What constraints these characteristics impose on deployment and upgrade
The multi-source mixed structure and differentiated update cycles of coking coal data require configuring multi-source data adaptation modules during deployment, and distinguishing synchronization task scheduling rules for daily, weekly, and monthly updates. The wide page count range of single documents and structured fields with specific units require adjusting timeout thresholds and segment parsing parameters for file parsing to avoid interruptions during long document parsing. Unit requirements for specific fields require configuring standardized verification rules during the pre-cleaning stage to prevent non-standard values from entering the knowledge base. During the upgrade stage, configuration migration of original scheduled synchronization tasks must be supported to avoid data synchronization link interruptions caused by version updates. At the same time, the data source mapping relationship associated with historical conversations must be retained to prevent failure of data association logic.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | The longest coking coal due diligence PDF document can reach 50 pages, and the conventional parsing duration exceeds the default threshold |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Batch coking coal ledger Excel files may contain multi-batch historical data, resulting in large single-file volume |
TEXT_EMBEDDING_MODEL | Use the open-source text model recommended by official 4.9.0 | Adapt to the model loading logic of version 4.9.0, and match the field semantics of coking coal data |
maxContext | 8000–12000 characters | Due diligence reports contain detailed descriptions of multiple fields, requiring sufficient context for associated field queries |
Recall count | Top 8 entries | Coking coal data has many fields and close business associations, requiring a sufficient number of recalled entries to support analysis |
PARSE_SEGMENT_LENGTH | 1500–2000 characters | Long document segmentation must retain field association to avoid loss of field correspondence during cross-segment parsing |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require on-site analysis, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Mistakes
- Symptom: Conversation records disappear after refreshing the front-end conversation window. Complete historical conversations can be viewed in the back-end management interface, and no clear error prompt is displayed on the front-end. Cause: The storage configuration of
chat_history_storagewas not migrated during version upgrade, or the default storage path was reset during version update, resulting in a break in the association logic of front-end and back-end conversation records. - Symptom: After uploading a coking coal due diligence PDF document, the parsing task shows timeout failure, and the back-end log returns a
504 Gateway Timeoutstatus code. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration was not adjusted, and the default duration is insufficient to parse the longest 50-page due diligence document. - Symptom: The official QR code is still displayed at the bottom of the front-end page after private deployment, and cannot be removed. Cause: The
FRONTEND_SHOW_QRCODEconfiguration item was not modified tofalse, or the environment variable was not overridden in the deployment script.
How to Verify Correct Configuration
- Execute a parsing task for a single 50-page coking coal due diligence PDF, and check whether the parsed document segments retain complete field association without missing key information across segments.
- Trigger preset daily and weekly synchronization tasks, and check whether the synchronization results match the update cycle of the data source, with no missing or duplicate synchronization records.
- View the field verification logs of the knowledge base, and confirm that all imported coking coal data meets the preset unit and format requirements.
- After upgrading the version, log in to the front-end conversation interface to view historical conversation records, and confirm that the records are fully displayed and can be loaded normally.
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.