What the Data for This Category Looks Like
Financial report data for the paint and ink category comes primarily from publicly disclosed annual and quarterly reports of A-share/H-share listed paint and ink enterprises, plus monthly production and sales briefings released by chemical industry associations for financial institutions, and public pricing databases for upstream raw materials including titanium dioxide, acrylic resin, and others. Public financial reports are updated quarterly and annually. Industry briefings are updated monthly. Raw material pricing is updated daily. Financial report documents include fields such as revenue breakdown (paint and ink business proportions), unit production costs, capacity utilization rates, and R&D investment. Units are mostly ten thousand yuan, ten thousand tons, yuan/kilogram. Some segmented indicators use percentage annotations.
How These Characteristics Impose Constraints on Workflow Orchestration
The multi-source, heterogeneous data characteristics of this category require workflow configurations with multiple input nodes to connect to financial report databases, industry association interfaces, and raw material pricing sources respectively. This meets the multi-dimensional analysis needs of financial scenarios. Fixed update rhythms require binding scheduled trigger rules to automatically trigger the full process quarterly and monthly. This adapts to the periodic financial report analysis cycles of financial institutions. The large number of segmented fields and inconsistent units require configuring field mapping and unit conversion nodes. This unifies revenue and capacity data from different sources into standard formats for subsequent analysis. The long length of individual financial report documents requires configuring segmented parsing nodes. Split long texts and send them to the large model in batches. This avoids exceeding context window limits.
How to Set the Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 15–30 items | Paint and ink financial reports contain multiple sets of segmented business data. Analysis in financial scenarios requires retaining sufficient context to associate business breakdown and cost structure information, and avoid losing key fields |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Individual annual financial report documents have long length, including multiple pages of charts and detailed tables. The parsing process requires more time to complete text extraction and format conversion |
chunkSize | 800–1200 characters | Financial reports have many segmented fields. The segment length adapts to the context window of general large models, while retaining logical connections between adjacent fields, and avoid damaging business logic through splitting |
fileInputMode | raw | Some paint and ink enterprise financial reports include structured PDF reports and attachments. Directly passing original files retains complete formats for large model recognition, and avoids field loss caused by default parsing |
relevanceThreshold | 0.75–0.85 | Core paragraphs related to raw material costs, revenue, and capacity in financial reports must be accurately recalled, and non-associated data in industry briefings must be filtered |
allowMultipleCodeNodes | Enabled | The workflow needs to call multiple sets of code components to handle raw material price conversion, field standardization, and data verification respectively. Supporting multiple code nodes improves process flexibility |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: When configuring
maxContextto 30 items in the AI node of FastGPT 4.10.0, only 2 context items are displayed in the conversation details interface. The generated financial report analysis results do not associate with prior quarter revenue data. Cause: The context window parameter and recall count are not configured to match, or a preceding data processing node truncated the historical financial report context cache queue required for financial analysis. - Phenomenon: After adding a second code running component to the workflow, the process execution fails and returns a "node count limit exceeded" prompt. Cause: The
allowMultipleCodeNodesconfiguration item is not enabled. The system defaults to restricting a single workflow to only one code running component. - Phenomenon: After uploading a structured financial report PDF, the analysis results generated by the large model lack table fields such as raw material cost proportion. Cause:
fileInputModeis not set toraw. The system's default parsing converts structured PDFs to plain text, which loses segmented business data within tables.
How to Confirm the Configuration Is Complete
- Trigger a test workflow, check the number of context items in the conversation details, and confirm they match the
maxContextconfiguration value. - Upload a test structured financial report PDF, check whether the analysis results generated by the large model include core fields such as raw material costs and revenue breakdown, and confirm the
fileInputModeconfiguration takes effect. - Try adding two or more code running components to the workflow, confirm the process can be saved normally and triggered for execution.
- Check the parameter configuration of the model node, confirm the correct environment variable key is bound, and test that the configuration items stored in the environment variable can take effect normally.
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.