What the Data for This Category Looks Like
Coke investment research data primarily comes from Dalian Commodity Exchange futures market data, domestic coking industry association production capacity and inventory data, daily quotes from spot trading platforms, and brokerage industry research reports. Update rhythms vary significantly: futures data is pushed in real time during trading days, spot quotes update daily, production capacity and inventory data updates monthly, and research reports are uploaded irregularly based on release time.
Documents include two categories: structured market tables and unstructured analysis reports. Supported formats include PDF, Word, CSV, and JSON packets returned by APIs. Structured fields include delivery grade, sulfur content, ash content, volatile matter, daily transaction price, and port inventory. Their respective units are yuan/ton, dry basis mass percentage, dry basis mass percentage, dry basis mass percentage, yuan/ton, and ten thousand tons.
What Constraints Do These Characteristics Impose on Deployment and Upgrade?
Parsing plugins compatible with multiple file formats must be deployed during the deployment phase, due to the multi-source, multi-format nature of coke investment research data. Layered scheduled pull tasks must be configured to account for the differing update rhythms of real-time futures market data and daily spot data.
Structured data includes multi-dimensional quality and trading fields. Field mapping rules must be defined in advance during deployment to avoid losing critical information during vector embedding.
During the upgrade phase, compatibility with historical data field indexes must be maintained. New parsing rules must not damage existing vector databases, and must adapt to new data source interfaces to prevent data synchronization interruptions. Additionally, coke data has strong industry relevance, so expandable space for associated fields must be reserved during deployment to support subsequent access to upstream and downstream coal and steel related data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Individual coke research reports often contain multiple pages of industry analysis and data tables, requiring sufficient time for complete parsing of long documents |
UPLOAD_FILE_MAX_SIZE | 500 MB | Some coke industry research reports include high-definition charts and batch market data, requiring support for large file uploads |
CHUNK_MAX_SIZE | 1000–1200 characters | Coke data includes multi-dimensional structured fields; segment length must cover complete field groups to avoid losing associated information after splitting |
RECALL_TOP_N | Top 8 entries | Coke investment research requires combining multiple data types including futures, spot, inventory, and production capacity; the number of recalled entries must cover multi-source information |
SIMILARITY_THRESHOLD | 0.75–0.85 | Coke industry data has strong industry relevance, requiring filtering of low-relevance redundant information while retaining matching results for detailed sub-categories |
UPLOAD_ALLOWED_EXTENSIONS | pdf, docx, csv, json | Covers multi-format files including coke investment research reports, market tables, and API real-time data |
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, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Symptom: When calling the DeepSeek model, the returned response does not match the V3 version output format. Cause: The correct model identifier is not specified in the model configuration, or the model version mapping rule is not configured, resulting in calls to an older model version.
- Symptom: After Vercel automated deployment completes, accessing the application returns a 404 Not Found status code. Cause: The root directory route rewrite rule is not correctly configured during deployment, or the config.json file is not uploaded to the specified path on the deployment server, causing the system to fail to load basic configurations.
- Symptom: After upgrading to version 4.9.2, attempting to modify parameters related to
systemEnvfails to find the corresponding fields in config.json. Cause: Version 4.9.2 restructured the environment variable configuration structure, splitting some parameters undersystemEnvinto independent configuration modules, and failed to synchronize update descriptions in deployment documentation.
How to Confirm Configuration Is Complete
- Upload a coke CSV file containing structured market tables, review the parsed segment results, and confirm that fields are not split or lost.
- Trigger a scheduled synchronization task, check the data synchronization logs, and confirm that multi-source data can be normally pulled and written to the knowledge base.
- Initiate a search using coke-related keywords, verify that the number of recalled results and similarity scores meet preset requirements.
- Generate a login-free sharing link, test the enablement status of the reference and view original text functions, and confirm that configuration parameters take 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.