What This Category of Data Looks Like
Financial report data for the publishing industry comes primarily from stock exchange disclosure platforms and company investor relations sections. Update cadence follows fixed quarterly and annual report disclosures, plus temporary performance announcements. Most documents are in PDF format, including consolidated balance sheets, income statements, cash flow statements and detailed financial notes. Some companies also disclose business data such as printing sheets and published retail sales value. Core fields include operating revenue, attributable parent net profit, printing costs and copyright licensing revenue. Units are mostly ten thousand yuan or hundred million yuan. Some cross-border businesses mark foreign currency denominated items.
Constraints Imposed on Workflow Orchestration
Dispersed data sources require workflows to support multi-channel data access, and adapt to interface formats of different disclosure platforms. Fixed, concentrated disclosure windows require workflows to support scheduled triggers, to avoid missing manual updates. Long document structures require parsing steps to retain chapter context, preventing damage to the logical connections of financial data after splitting. Industry-specific business fields require custom field mapping configurations, to ensure accurate structured extraction. High-frequency update needs require workflows to have batch processing capabilities, to support parallel parsing of multiple financial reports.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600-900 seconds | Single financial report PDF for the publishing industry can be 50-100 pages long, with long average parsing time. Default timeouts cannot cover the full parsing process |
maxContext | 8000-12000 characters | Financial report notes have dense content and strong logical connections. Sufficient context must be retained to ensure the model can accurately associate financial data across different paragraphs |
Knowledge base recall count | Top 8-12 results | Financial report analysis needs to cover core financial indicators, business data and note details. Sufficient recall volume avoids missing key information |
Chunk size | 1500-2000 characters | Balances single-paragraph context length and model processing capabilities. Prevents context overflow from overly long single paragraphs, while retaining the integrity of financial report chapters |
Workflow Trigger Interval | Once per week + Once per day during financial report disclosure windows | Regular weekly updates can run on a weekly schedule. Quarterly and annual report disclosure windows require daily synchronization of newly disclosed financial report files |
Tool Call Retry Count | 2-3 times | API calls to some disclosure platforms have temporary fluctuations. Limited retries reduce workflow failure rates caused by temporary faults |
The parameter values provided on this page are general recommendations for establishing configuration starting points. Actual values are affected by material format, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Workflow call returns "specified workflow not found". Cause: The unique identifier name of the workflow was not filled correctly, or non-public internal naming rules were used in the configuration.
- Phenomenon: Results returned by the knowledge base node and question optimization node differ beyond expectations. Cause: The applicable scenarios of the two types of nodes were not clearly defined, and their recall thresholds and context configurations were not adjusted for financial report analysis needs.
- Phenomenon: Core financial fields are empty after the workflow parses the financial report. Cause: The special PDF table parsing mode was not enabled, or industry-specific business field mapping rules for the publishing industry were not configured, leading to failed structured extraction.
How to Confirm Proper Configuration
- Call the workflow test interface, pass a link to a publicly disclosed financial report PDF, and check if the returned structured data includes the preset core fields.
- View the workflow run logs, confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is in effect, and there are no timeout termination error records. - Compare the knowledge base recall results with the original financial report content, check if the number of recalled results matches the preset value range.
- Manually trigger the scheduled workflow, verify that it can normally pull the latest financial report files from the specified channel and complete parsing.
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.