What the data for this category looks like
Air pollution control financing daily report data draws from three sources: the ecological environment department’s air pollution control project registration database, financial institutions’ green credit disclosure systems, and local development and reform commission special financing ledgers. The data updates daily. Each document uses a structured format, with fields including project name, affiliated administrative region, full financing entity name, financing amount, financing purpose, corresponding air pollution control sub-category, approval document number, and others. Financing amount uses ten thousand RMB as the unit. Air pollution control sub-categories use fixed enumerated values. Implementation cycles use natural months as the unit. Each daily report includes a fixed number of structured fields, with no redundant unstructured content.
What constraints these characteristics impose on deployment and upgrade
The high-frequency daily update requirement demands stable scheduled synchronization scripts during deployment. Database connection pool parameters must align with high-frequency read/write scenarios to prevent connection exhaustion. The multi-field structured data structure requires custom field parsing templates during deployment, to avoid key field loss from generic parsing logic. Fixed enumerated sub-category classification rules require retention of original mapping during upgrades, to prevent historical data anomalies from data cleaning logic changes. Multi-source data interfaces need retry mechanisms during deployment, to adapt to fluctuations across different department data sources. Additionally, the timeliness of financing daily reports means upgrade operations cannot interrupt same-day data synchronization, otherwise daily data omissions occur.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
SYNC_CRON_EXPRESSION | 0 0 1 * * * | Adapts to the update rhythm of financing daily reports syncing previous workday data at the preset daily time |
DB_CONNECTION_POOL_SIZE | 20–30 | Adapts to the high-frequency read/write requirements of air pollution control financing daily reports, avoids container exceptions caused by connection exhaustion |
PARSE_STRUCTURED_FIELDS | ["project name","affiliated administrative region","financing amount","financing purpose","air pollution control sub-category"] | Matches the fixed field structure of this category, prevents generic parsing from missing key information |
RETRY_TIMES_ON_API_ERROR | 3 | Adapts to interface fluctuations from multi-department data sources, reduces the probability of synchronization failures |
UPGRADE_KEEP_DATA_SCRIPT | Enabled | Retains historical data field mapping rules during upgrades, prevents new parsing logic from overwriting original configurations |
MAX_SYNC_RECORD_PER_RUN | 500 | Controls the volume of data synced per run, avoids excessive database load |
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.
Three Common Misconfigurations
- Phenomenon: After deploying version 4.9.9 locally via Docker, a
FATAL: too many connectionserror occurs every few hours. Recovery is only possible after deleting and recreating the PostgreSQL container. Cause: TheDB_CONNECTION_POOL_SIZEparameter was not adjusted. The default connection pool size cannot adapt to daily high-frequency data synchronization read/write operations, leading to connection exhaustion. - Phenomenon: Some historical financing data’s "air pollution control sub-category" field is empty after upgrading the version. Cause: The
UPGRADE_KEEP_DATA_SCRIPTwas not enabled during the upgrade. The new field parsing logic overwrote the original enumerated classification mapping, leading to failure of historical data cleaning. - Phenomenon: The financing daily report summary returned by the model call is incomplete, with key fields truncated. Cause: The
maxContextparameter was not adjusted. The default context length is insufficient to accommodate the complete field content of structured data, leading to information loss.
How to Confirm the Configuration is Correct
- View the running logs of the scheduled synchronization task, confirm that the daily synchronization task triggers at the preset time, and the number of synchronization records matches business expectations.
- Check the monitoring indicators of the database connection pool, confirm that the number of connections does not continuously reach the configured upper limit.
- Import a single test air pollution control financing daily report data set, verify that all custom structured fields are correctly parsed and stored.
- Execute the version upgrade script, confirm that the field mapping of historical data has no abnormal changes after the upgrade.
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.