What the data for this category looks like
The data for other comprehensive financial report analysis primarily comes from publicly disclosed periodic reports, including annual, semi-annual, and quarterly reports of listed companies, as well as internal consolidated financial statements of enterprises. Data updates follow a fixed disclosure schedule: periodic reports are updated quarterly, semi-annually, and annually, while internal reports are synchronized as needed. Documents mainly consist of structured tables with accompanying explanatory notes, including standard financial indicators and detailed items of other comprehensive income, such as foreign currency statement translation differences, fair value changes of other debt investments, etc. Most field units use Renminbi yuan or ten thousand yuan; some cross-border business reports note foreign currency denominations.
What constraints do these characteristics impose on deployment and upgrade
The data sources for this category include publicly disclosed documents and internal enterprise reports. Deployment must support multi-source data access, including local file upload and external API data pulling. Configure scheduled synchronization tasks to match the fixed financial report update schedule, with task scheduling parameters aligned to the disclosure cycle. Documents contain structured tables and explanatory note text. Support for long text parsing and structured field extraction is required. Reserve field mapping configuration to adapt to naming differences for other comprehensive income fields across different entities. Deployment must support automatic unit conversion to handle Renminbi yuan, ten thousand yuan, and foreign currency denominations. During upgrades, verify the accuracy of structured extraction and field recognition to prevent financial report key field parsing failures caused by model updates.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600–900 seconds | Financial report documents have relatively long length, so sufficient parsing time must be reserved to avoid task interruption due to timeout |
UPLOAD_FILE_MAX_SIZE | 500–1000 MB | Most financial report documents are multi-page PDFs or structured table files, so support for large-volume file uploads is required |
SCHEDULER_CRON_EXPR | Configure the corresponding cron expression according to the financial report disclosure cycle | Match the fixed financial report update schedule to enable automatic data synchronization and updates |
STRUCTURED_EXTRACT_FIELDS | ["营业收入", "净利润", "其他综合收益总额", "外币报表折算差额"] | Focus on the core financial and other comprehensive income fields of concern for this category to improve extraction accuracy |
CURRENCY_CONVERSION_ENABLE | true | Adapt to the analysis needs of multi-currency reports, and automatically complete unified conversion of units and currencies |
PARSE_STRICT_MODE | false | Financial report notes contain non-standard expressions, and relaxed mode can improve the coverage rate of field recognition |
The parameter values provided on this page are all conventional recommendations used as a starting point 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 conduct tests on available samples before finalizing settings.
Three Common Mistakes
- An
ERROR: failed to solve: failed to checksum fierror occurs when building an image withdocker build. The cause is a dependency file checksum failure during the build process, which is often due to corrupted local cache files or timed-out network dependency pulls. - A
curl --locationrelated execution error occurs when running the upgrade script during an upgrade from 4.8.17 to 4.9.0. The cause is that network resources relied on by the upgrade script cannot be accessed normally, or the local curl command configuration is incompatible. - When accessing a local Ollama service after Docker private deployment, model calls fail and return empty results or a 500 status code. The cause is that the correct local Ollama access address was not configured, or the container network is not connected, preventing access to the host machine's service.
How to Verify Proper Configuration
- Upload a single sample financial report document, check the matching degree between the core fields extracted in the parsing result and the original text, and adjust the structured extraction field configuration based on matching status.
- Manually trigger a scheduled synchronization task, check the task execution logs, and confirm that the data pulling and parsing processes have no abnormal interruptions.
- Access the local Ollama service address, test model call connectivity, and confirm that the network configuration between the container and the local service is correct.
- View the system version information page, confirm that the currently running version matches the upgraded target version, and that no core component startup errors exist.
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.