What this type of data looks like
Air pollution control financing daily report data primarily comes from air pollution control project registration databases of ecological environment departments, green credit reporting systems of commercial banks, and environmental project financing announcements on local public resource trading platforms. The data updates daily, generating full or incremental financing information for the previous natural day each day. Most documents use structured CSV or JSON formats. Each document contains multiple project records, with fields including project unique ID, project name, affiliated administrative region, air pollution control sub-type, financing amount (unit: ten thousand RMB), financing subject, cooperating financial institution, approval date, and fund disbursement node, among others.
What constraints these characteristics impose on model access and configuration
Structured batch data format requirements mean model access configuration must support batch file parsing and field mapping, to avoid inefficiency from single-document processing. Daily update frequency requires configuring scheduled synchronization tasks to keep knowledge base data aligned with source data timeliness, and support incremental synchronization to reduce duplicate data processing. Fields include specific units and classification tags, so standardization rules must be configured to unify financing amount units and project type classification logic, preventing unit confusion or classification errors during model processing. Multiple system data sources require configuring secure access credential storage rules to ensure legal data pulling, and handling differences in data formats returned by different systems.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Structured batch data parsing for air pollution control financing daily reports requires reasonable duration to avoid mid-process timeout errors |
BATCH_UPLOAD_MAX_FILES | 10–20 files | Matches daily data scale for single-batch processing, balances processing efficiency and system load |
SYNC_FREQUENCY | 1 time per day | Matches the daily update rhythm of source data to ensure knowledge base data timeliness |
FIELD_STANDARDIZATION_RULE | Automatically convert amount fields to ten thousand RMB units | Unifies the unit standard for financing amounts in data to avoid errors in model calculations |
RECALL_TOP_K | Top 8 entries | Effective project count per daily report is usually under 10, controls recalled entries to reduce inference load |
WORKFLOW_TRIGGER_CONDITION | Trigger by data update timestamp | Only processes new or updated financing projects to avoid repeated processing of historical 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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: 504 status code request timeout error occurs after uploading test files. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and single-batch data processing volume exceeded the default timeout limit. - Phenomenon: Inconsistent units appear in financing amounts recalled by the knowledge base, and some fields show blank values. Cause: The
FIELD_STANDARDIZATION_RULEwas not configured, and unit and format requirements for data fields were not unified. - Phenomenon: After running a custom workflow, no reasonable content referenced by the knowledge base is output, and the returned result is empty. Cause: No knowledge base reference verification trigger node was configured in the workflow, and no rules for content rationality judgment were defined.
How to confirm configuration is complete
- Upload a single test file of air pollution control financing daily report, check that parsed field names and data types match the source data.
- Manually trigger a synchronization task, check if financing project entries for the corresponding time range are generated in the knowledge base.
- Run the configured workflow, verify that it can perform rationality verification on referenced content in the knowledge base and output anomaly prompts.
- Check system background task logs to confirm that batch processing tasks do not return abnormal statuses such as timeouts or format 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.