What the Data for This Category Looks Like
Electric power marketing-related data primarily comes from electric power marketing systems, electricity collection terminals, customer service work orders, and policy release platforms. Data update rhythms fall into three categories: real-time load data from electricity collection updates every second; customer portrait tags are synchronized weekly; electricity price policies and marketing activity rules are updated monthly or quarterly. Document structures include structured electricity detail ledgers (fields include user number, usage period, electricity consumption unit: kilowatt-hour), unstructured policy announcement PDFs, semi-structured event participation feedback forms, and some historical event data stored as batch records in Excel format.
Constraints Imposed on Deployment and Upgrade by These Characteristics
Real-time load data from electricity collection terminals requires high-concurrency streaming access channels during deployment to avoid data packet loss or delay. Monthly updated electricity price policies and marketing rules require retaining historical knowledge base versions during upgrades to ensure seamless activity switching. Mixed-structured document data requires separate configuration of structured ledger parsing and unstructured policy document parsing rules, to adapt to recall logic for electric power industry specialized terminology. Weekly updated customer portrait data requires scheduled synchronization tasks to avoid excessive system resource consumption from real-time pulling. For internal network deployment scenarios, adjust vector database and reverse proxy configurations to comply with internal network access restrictions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 200 MB | Most electric power marketing documents are policy announcements and electricity ledgers. Single files typically do not exceed 150 MB, so this value reserves reasonable buffer space |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large electricity ledger Excel files contain multiple sheets, which take longer to parse. This avoids early timeout causing parsing failure |
maxContext | 8000–12000 characters | Electric power marketing data includes specialized terminology and long documents. Sufficient context is needed to ensure completeness of recall logic |
Recall Count | Top 10 entries | Recall results related to electric power marketing need to cover multiple dimensions including electricity price policies, activity rules, and customer portraits. 10 entries balance comprehensiveness and response speed |
Scheduled Synchronization Task Cycle | 168 hours | Customer portrait data is updated weekly, matching the data synchronization rhythm to avoid excessive system resource usage |
NGINX_PROXY_BUFFER_SIZE | 64k | For internal network deployment scenarios, reverse proxies of electric power marketing systems need to adapt to high-volume data transmission. A 64k buffer reduces packet loss risk |
The parameter values provided on this page are all common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis. Testing on local samples is recommended before finalizing settings.
Three Common Configuration Errors
- Outputs from multi-variable update nodes cannot be merged into a single AI reply. The interface displays truncated reply content or empty fields. No unified output node for variable merging is configured, causing outputs from multiple parallel nodes to not be aggregated into the AI invocation step.
- The channel configuration page only displays reranking model options. General language models cannot be selected. General language model channel permissions are not enabled in system configuration, only reranking model call permissions are opened.
- A timeout error is prompted when uploading electricity ledger files in internal network deployment scenarios, with status code 504 Gateway Timeout. The NGINX reverse proxy buffer configuration is not adjusted, causing traffic to fail to transmit normally during large file uploads.
How to Confirm Configuration is Successful
- Upload a typical electric power marketing policy PDF document. Check if the parsed text fully retains specialized terminology and chapter structure, confirming that parsing rule configurations are effective.
- Trigger a scheduled synchronization task. Check if there are update records for customer portrait data in the synchronization log, confirming that the synchronization cycle configuration is correct.
- Configure a general language model channel. Call the model in a test conversation to generate marketing content, confirming that model options can be selected and called normally.
- Upload a test electricity ledger file of maximum size. Check upload progress and parsing results, confirming that file upload and parsing configurations are effective.
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.