What the data for this category looks like
Electric power marketing content data mainly comes from electricity collection terminals, marketing business management systems, customer service ticket repositories, and local electricity price policy documents. Structured data includes fields such as electricity user account numbers, cumulative electricity consumption, tiered price tiers, and outstanding payment amounts. Units are mostly kilowatt-hours and yuan. Unstructured data covers electricity price adjustment notices, energy conservation promotional copy, power outage announcements, and more. Update frequency varies by content type: real-time announcements update immediately, monthly bills sync monthly, and policy documents update when issued. The length of single marketing-related documents varies widely, from hundreds of characters for activity reminders to thousands of characters for policy explanations.
Constraints on model integration and configuration
The characteristics of electric power marketing data create multi-dimensional constraints for model integration and configuration. Structured fields contain fixed-unit electricity values, so field mapping rules must be configured to unify unit parsing. Unstructured documents have wide length ranges, so model context window configuration must be adjusted to fit segment lengths. Real-time announcement content requires short-interval trigger rules to avoid data lag. Multi-source data has significant format differences, so format validation rules must be configured to filter invalid fields. Marketing content is associated with customer privacy information, so data desensitization parameters must be configured to protect sensitive fields from leakage.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
max_chunk_size | 800–1200 characters | Fits the context windows of most models, avoids truncating key information in long electric power documents |
update_cron | 0 0/6 * * * or 0 0 * * * | Matches the update rhythm of electric power marketing data. Real-time announcement content can be set to 0/5 * * * * |
basic_auth_username | Fill in according to the actual configuration of the enterprise internal API | Most electric power marketing data is obtained through enterprise internal APIs, and Basic Auth is required for authentication |
basic_auth_password | Fill in according to the actual configuration of the enterprise internal API | Completes authentication with the username. Must be submitted after Base64 encoding |
context_limit | First 4000 characters | Fits the input length limits of general large models, avoids exceeding model processing caps |
field_validation_switch | Enabled | Validates the format and units of fields such as user account numbers and electricity consumption, filters invalid data |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Incorrect entry of
basic_auth_usernameandbasic_auth_passwordcauses the interface to return the401 Unauthorizedstatus code. This occurs when the actual authentication account of the internal electric power marketing API is not matched, or the password is not correctly Base64 encoded. - Failure to configure
max_chunk_sizeto fit long documents causes truncation when the model processes thousands-of-character electric power policy documents, resulting in incomplete output. This happens when default segment lengths are used, without matching the span differences of electric power marketing documents. - Confusing update frequency configurations for multi-source data, setting monthly bill data to pull every 5 minutes, leading to excessive system resource usage. This occurs when the update rhythm of electric power marketing content is not distinguished, and short-interval trigger rules are used uniformly.
How to confirm successful configuration
- Call the configured model interface, pass simulated electric power marketing data, and check if the interface returns the
200 OKstatus code to confirm that the authentication configuration is effective. - Upload a typical thousands-of-character electric power policy document, check the segment results returned by the model, and confirm that the segment length matches the configured requirements.
- After configuring the field validation rules, pass incorrectly formatted electricity data, check if the system triggers the filtering logic, and confirm that the validation rules are effective.
- View the data pull logs, confirm that data is synchronized on schedule according to the configured
update_cronrules, and confirm that the update frequency configuration is 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.