What the data for this category looks like
The data for optical module intelligent due diligence reports targeting the financial and insurance sector comes primarily from three sources: manufacturer factory test documents, on-site operation and maintenance collection data from telecom operators, and calibration reports from third-party optical communication testing institutions. Two update cadences apply: manufacturer public parameters receive static updates, synced with model iterations. Operation and maintenance collection data updates daily or hourly. Single report documents follow a fixed structure, including fields such as model identifier, transmission rate, operating wavelength, rated power, interface type, and operating temperature range. Units for these fields are Gbps, nm, W, standard interface codes, and ℃ range respectively.
What constraints these characteristics impose on deployment and upgrade workflows
For optical module intelligent due diligence reports targeting the financial and insurance sector, static parameters make up a large share of the data. Dynamic operation and maintenance data updates frequently, and field units follow industry-wide specifications. During deployment, storage strategies for static parameter libraries and dynamic data sources must be separated. This avoids frequent pulling of high-frequency updated operation and maintenance data that would consume server resources, and meets low-latency query requirements for financial scenarios. During upgrade, incremental synchronization of dynamic data must be supported, while retaining compatibility logic for older versions of static parameters. This prevents field parsing errors in existing due diligence reports, which would compromise the accuracy of financial due diligence. Additionally, the multi-field, multi-unit structure requires preset unified field mapping rules during deployment. This prevents unit confusion across data from different sources, and ensures compliance of due diligence reports.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single optical module due diligence document typically includes multiple parameter sets, requiring a long parsing time. Sufficient timeout duration must be reserved |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single optical module manufacturer factory document may include multiple test charts, resulting in a large overall file size |
maxContext | 800–1200 characters | Optical module parameter fields are numerous and short. Context length must be controlled to ensure retrieval accuracy |
RECALL_TOP_K | Top 8 entries | Due diligence reports must cover core parameters. Too many retrieved entries will increase processing load |
PLUGIN_UPGRADE_SYNC_INTERVAL | 3600 seconds | Dynamic operation and maintenance data is updated hourly. Sync interval matches the update frequency |
FILE_PARSE_SEGMENT_LENGTH | 500 characters | Parameter paragraphs in optical module reports have clear structure. Segment length adapts to field extraction requirements |
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 issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: After local deployment, uploaded files fail to load during chat, but knowledge base upload functions normally. Cause: Local storage path configuration for chat file upload is not enabled, or path permissions are not set to read-write.
- Phenomenon: After Docker deployment, the running log output path cannot be located. Cause: The log directory is not mounted to the host machine in the Docker startup command, or the
LOG_DIRenvironment variable is not specified. - Phenomenon: The custom plugin installation path cannot be found in the open-source version 4.8.17. Cause: A subfolder for the corresponding plugin is not created in the FastGPT
pluginsdirectory, or the service is not restarted to load plugin configurations.
How to confirm configuration is complete
- Upload a standard optical module manufacturer factory document, check that parsed fields match preset mapping rules, and verify matching between field names and units.
- Trigger plugin upgrade synchronization operation, confirm no errors occur during the synchronization process, and updated data falls within the expected time range.
- After starting the Docker container, check that corresponding running log files are generated in the mounted log directory, and confirm log output is normal.
- Upload a test optical module document in the chat interface, confirm the file can be read normally and participates in subsequent knowledge base retrieval processes.
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.