What the data for this category looks like
Water utility financial report data comes from official exchange disclosure platforms and public announcements from local water utility authorities. The update cadence follows fixed quarterly, semi-annual, and annual cycles. Most documents are in PDF format, and include exclusive fields including revenue from tap water supply, wastewater treatment, engineering installation, and other business lines, operating costs including medications, energy consumption, pipe network operation and maintenance, total water supply volume, wastewater treatment volume, and more. Units are mostly ten thousand yuan, cubic meters, and tons. The length of a single financial report increases with the reporting cycle. Annual reports include multiple detailed supplementary tables covering segmented data for regional businesses.
What constraints these characteristics impose on deployment and upgrade
The fixed update cycle of water utility financial reports requires configuring scheduled synchronization tasks during deployment, to adapt to quarterly, semi-annual, and annual disclosure rhythms. During upgrades, retain original synchronization rules to avoid interrupting data updates. Exclusive business fields and units require targeted adjustments to parsing configuration, to prevent generic parsing logic from missing segmented data such as pipe network operation and maintenance and regional water supply. The large number of detailed supplementary tables increases single-file parsing time and disk usage. During deployment, adjust timeout thresholds and storage expansion plans. During upgrades, maintain compatibility with field mapping rules of existing parsing plugins to prevent damage to configured knowledge base indexes.
How to set configuration values
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Annual financial report PDF files for water utilities typically range from 100 to 500 MB. This value covers most public financial report files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Water utility financial reports contain large numbers of tables and detailed data, leading to long parsing times. This value prevents parsing interruptions for large financial reports |
maxChunkSize | 800-1200 characters | Water utility financial reports are dense with technical terminology. A segment length in this range balances semantic completeness and retrieval accuracy |
RECALL_COUNT | Top 8-12 entries | Financial report retrieval for water utilities needs to cover segmented data across multiple business lines and regions. This number of recalled entries ensures key information is not missed |
SIMILARITY_THRESHOLD | 0.75-0.85 | Water utility financial reports contain many technical terms. This threshold balances recall accuracy and information coverage |
EMBEDDING_BATCH_SIZE | 32 | This value avoids excessive memory usage during batch embedding while ensuring overall efficiency of financial report parsing and embedding |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After upgrading to a specified version, model vendor icons in the chat interface fail to load, displaying a failed loading placeholder. Cause: Static resource directory model icon files were not replaced correctly during upgrade, or icon mapping configuration in frontend dependencies was not updated synchronously.
- Phenomenon: After upgrading from 4.13.0 to 4.14.3, an error
fail to create post presigned urpops up when uploading attachment files. Cause: The object storage signature expiration time parameter was not reconfigured after upgrade, or the configured storage bucket permissions did not grant pre-signed URL generation permission. - Phenomenon: Disk usage of the locally deployed knowledge base cannot be viewed accurately, leading to misjudgment that it only includes three parts: original files, split chunks, and embedding vectors. Cause: Disk monitoring scan path was not configured correctly, omitting the FastGPT vector database cache directory or temporary file directory.
How to confirm configuration is complete
- Upload a quarterly financial report PDF for a water utility, check if the parsed text fully extracts exclusive fields such as total water supply and wastewater treatment cost.
- Run the preset scheduled sync task, verify that the latest financial report data can be automatically pulled and knowledge base update completed within the fixed cycle.
- View the system disk monitoring panel, confirm that the statistical scope includes original file storage directory, split chunk cache directory, embedding vector storage directory, and temporary file directory.
- Initiate a conversation containing detailed financial report segments, verify that the number of recall results and similarity match the preset configuration parameters.
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.