What the data for this category looks like
Coking coal financial report data comes from three main channels: quarterly and annual public financial reports of domestic coking coal production enterprises, monthly coking coal supply and demand reports released by the China Coal Transportation and Marketing Association, and weekly coking coal futures delivery inventory reports from the Shanghai Futures Exchange. Update frequencies vary across sources: enterprise financial reports are updated quarterly and annually, industry supply and demand reports are updated monthly, and futures inventory reports are updated weekly. Single enterprise financial report documents include fields such as balance sheet, income statement, coking coal business revenue proportion, unit cost, production volume, and sales volume. Most field units are yuan/ton and ten thousand tons. Industry reports include fields such as regional production volume, import volume, and market average price. Their format mostly consists of structured tables plus text analysis.
What constraints do these characteristics impose on deployment and upgrade?
Varying update frequencies across multiple data sources require differentiated scheduled synchronization rules during deployment. This prevents invalid synchronization from consuming resources. Coking coal financial reports contain many industry-specific terms and structured fields. Custom field extraction rules must be enabled in the knowledge base configuration. This ensures professional information is correctly identified. Single enterprise financial report audit attachments can be dozens of pages long. This increases document parsing time and resource usage. Parsing-related configuration parameters must be adjusted. Differences in access permissions and formats across data sources also require multiple sets of access rules during deployment. These rules adapt to acquisition logic for different sources, such as enterprise financial report announcement pages and industry report download interfaces.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | The audit attachment of a single annual coking coal enterprise financial report can exceed 50 pages. The default timeout duration is insufficient to complete full parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supporting audit reports for single annual financial reports may exceed the default 200MB limit. This setting adapts to large-volume document uploads |
maxContext | 800–1200 characters | Coking coal financial reports are dense with professional terms. Longer context retains business-related information and improves retrieval accuracy |
Recall count | Top 8 entries | Relevant fields of coking coal financial reports are scattered across different sections. More recall results cover complete business information |
Similarity threshold | 0.75–0.85 | Semantic similarity of coking coal industry terms is high. A higher threshold prevents irrelevant documents from being incorrectly recalled |
Scheduled synchronization interval | Differentiated by data source type: weekly data every 7 days, quarterly data every 90 days | Matches the actual update frequency of different source data. This reduces invalid synchronization operations |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Issue: Running the source code deployment script results in
npm installfailure, with prompts forENOSPCor dependency package version incompatibility. Cause: The system file handle limit is not adjusted, and the dependency cache path for FastGPT source code deployment is not specified. This causes downloads of large-volume coking coal financial report parsing dependency packages to fail. - Issue: Running
docker buildto build an image outputsWARNING: current commit information was not captured by the, and the local knowledge base fails to load after the image starts. Cause: The git repository is not initialized in the project directory. This causes the build script to fail to obtain version information, and the knowledge base index path configuration inside the image is abnormal. - Issue: After connecting FunASR for speech-to-text conversion of financial report documents, the returned results lack or misrecognize coking coal-related professional terms such as "main coking coal" and "fat coal". Cause: The coking coal industry-specific vocabulary list is not imported. This prevents the model from correctly recognizing domain terms.
How to confirm the configuration is complete
- Upload a quarterly financial report PDF of a coking coal enterprise. Check if the parsed text includes exclusive fields such as coking coal production volume and unit cost, with no obvious truncation.
- Run a configured scheduled synchronization task. Check if the number of newly added documents in the knowledge base matches the update frequency, with no duplicate or missing data from data sources.
- Submit a query related to coking coal financial reports. Check if the number of recall results matches the configured recall count, and the similarity meets the set threshold.
- Call the FunASR transcription interface. Verify that the returned
transcriptfield includes coking coal professional terms, with no obvious recognition 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.