What the data for this category looks like
Coking coal-related marketing data targeting financial investors and traders is primarily sourced from industry monitoring platforms, port shipment ledgers, steel mill procurement records, and public industry association reports. Data update cadence covers daily spot quotes, weekly inventory updates, and monthly supply and demand analysis. Document formats include three categories: single-line structured quote sheets, multi-page semi-structured analysis reports, and policy notices. Core fields include coking coal grade, ash content, sulfur content, caking index, and carboard price, with units respectively being none, percentage, percentage, index, and yuan/ton.
Constraints imposed on deployment and upgrade workflows
For coking coal marketing data targeting financial users, its multi-source, multi-format, and specialized field attributes create multiple constraints for deployment and upgrade. Multi-source data require multi-format parsing adapters to be configured to correctly identify ledgers, reports, and policy documents. High-frequency updated spot data require flexible scheduled synchronization rules to avoid insufficient timeliness of marketing content, which cannot meet decision-making needs in financial scenarios. Standardization requirements for specialized fields require custom entity extraction rules to be pre-configured to ensure generated marketing content includes accurate professional indicators and complies with financial sector information compliance requirements. Mixed short and long document formats require adaptive segmentation strategies to avoid excessive truncation of long reports or failure to form valid context for short content.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Coking coal monthly supply and demand reports may be up to 50 pages long; the default 300-second parsing duration is insufficient for complete parsing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Coking coal industry research reports often include high-definition charts and multi-page attachments, requiring support for large file uploads |
maxContext | 8000–12000 characters | Coking coal data includes multi-dimensional professional fields, requiring sufficient context length to retain complete information for marketing content generation |
Recall count | Top 10 entries | Coking coal marketing needs to cover multiple types of data such as spot prices, inventory updates, and policy guidance; increased recall ensures coverage of user needs |
Similarity threshold | 0.75–0.85 | Terminology similarity between coking coal and other coal categories is relatively high; this threshold filters irrelevant category data and retains accurate results |
SYNC_INTERVAL_HOURS | 24 hours | Coking coal spot prices are updated daily, weekly reports are synchronized weekly; a 24-hour interval balances timeliness and server resource usage |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing.
Three common configuration errors
- Symptom: After deployment, calling the marketing content generation function returns no output, always empty results. An additional custom field switch must be enabled when adapting to version v4.8.17 and above. Cause: No coking coal-specific custom field extraction rules are configured, leading to failure to correctly extract specialized fields and inability to generate marketing content with valid information.
- Symptom: After Docker deployment, the platform cannot be logged into, with a database connection failure prompt. Cause: The
MYSQL_PASSWORDandREDIS_PASSWORDenvironment variables were not modified correctly; using default passwords leads to permission verification failure. - Symptom: Configuration of
CHAT_API_KEYdoes not take effect, and calling the external API prompts an invalid key. Cause: The Docker container was not recreated to load new environment variable configurations, so the platform failed to read the key.
How to verify successful configuration
- Upload a coking coal spot quote sheet and a monthly supply and demand report, check whether the parsing result correctly extracts core fields such as coking coal grade, ash content, and carboard price.
- Trigger a scheduled synchronization task, check the platform synchronization logs to confirm there are no parsing or synchronization errors for coking coal data, and that the latest data has been included.
- Enter a query related to coking coal marketing, call the generation interface, and check whether the returned results include accurate professional terminology and the latest coking coal data.
- Access the knowledge base download link via the Nginx proxy, confirm that the corresponding coking coal documents can be downloaded normally, with no 404 or permission errors.
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.