What the data for this category looks like
Water utility financial report data comes from public disclosure platforms designated by securities regulators and official company announcements. Updates follow a quarterly and annual regular disclosure schedule, with temporary announcements issued for major operational changes. Document structures include consolidated financial statements and water utility-specific operational explanations. The former covers common fields such as revenue, costs, and cash flow. The latter includes exclusive operational metrics: total water supply (unit: 10,000 cubic meters), wastewater treatment volume (unit: 10,000 cubic meters), unit water supply cost (unit: yuan/cubic meter), and total pipeline length (unit: kilometers). Individual annual financial reports have long text lengths, with detailed explanatory content across multiple sections.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Exclusive operational metrics for segments such as water supply and wastewater treatment, fixed regular disclosure reporting periods, and long text structures impose multiple constraints on multi-turn dialogue and prompt engineering. First, financial reports include exclusive metrics for segmented areas like water supply and wastewater treatment. Prompts must clearly define query scope to prevent the model from confusing general financial terms with water utility operational data. Second, regular disclosure reporting periods are fixed. Multi-turn dialogue must track user-specified quarters or years via session ID to avoid mixing data across periods. Third, water utility operational metrics have specific units. Prompts must enforce matching output units to the corresponding metrics. Additionally, parsing long documents requires adapting segment length configurations to avoid content truncation that causes missing analysis. Fourth, specialized water utility financial data is stored in designated knowledge base collections. Multi-turn dialogue must associate with the correct collection for retrieval to ensure accurate data sources.
How to configure settings
These configuration items are compatible with FastGPT V4.9.3 and later versions:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the segment length of individual water utility financial report documents, retains sufficient context for associating metrics across multi-turn dialogue |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Water utility financial reports include specialized operational explanations, which require longer parsing time to avoid timeout truncation |
RECALL_TOP_N | Top 8–10 entries | Water utility financial reports have many segmented metrics, retrieve enough entries to cover core data for water supply, wastewater treatment and other segments |
SIMILARITY_THRESHOLD | 0.75–0.85 | Differentiate general financial terms from water utility-specific operational metrics, reduce irrelevant retrievals |
CHUNK_SIZE | 1000–1500 characters | Adapts to the segmented structure of water utility financial reports, avoid merging cross-segment content into the same chunk |
RECALL_COLLECTION | Bind to the water_supply_finance collection | Limit retrieval scope exclusively to the water utility financial report knowledge base, avoid interference from cross-industry data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific situations require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: The model call duration exceeds 600 seconds during dialogue, and the interface displays error code 504 "parse timeout". Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted for the long text structure of water utility financial reports, resulting in content truncation after parsing timeout. - Phenomenon: An error occurs after calling the database connection plugin, with the prompt "insufficient collection permissions". Cause: The permission configuration associated with the database connection plugin was not set to allow access to the
water_supply_financecollection, making it impossible to read water utility financial report data. - Phenomenon: Clicking the copy button on dialogue content in Google Chrome prompts that copying failed, and the generated Markdown content has no line breaks. Cause: The Markdown automatic line break configuration in the dialogue interface was not enabled, and browser caching caused abnormal copy functionality.
How to confirm the configuration is correct
- Upload a single water utility company financial report document, check the parsed segment results, confirm that content is not abnormally truncated and segment division is clear.
- Initiate a query including "2023 wastewater treatment business revenue proportion", verify that the retrieval results include exclusive operational data for the water utility segment.
- Initiate two consecutive analysis dialogues: first specify the reporting period as the third quarter of 2023, then ask for the unit water supply cost for that quarter. Confirm that the subsequent dialogue retains the previously defined query scope.
- Test the associated database connection plugin, confirm that it can normally read specified fields from water utility financial reports, with no permission or connection error prompts.
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.