What the data for this category looks like
Party building learning Q&A data in the hazardous chemicals storage and transportation field comes from three main sources: internal Party building work platforms of state-owned and public enterprise chemical sectors, special study documents issued by superior Party committees, and on-site study ledgers and meeting minutes of storage and transportation stations. Data update rhythms align with Party building work deployment plans. Superior documents are updated centrally every quarter. Internal station ledgers are synchronized weekly. Documents include study notices in official document format, handwritten or scanned study attendance records, and Party building discussion minutes tied to hazardous chemicals storage and transportation scenarios. Fields include document number, issuing unit, study theme, and Party building requirements corresponding to storage and transportation links. Units associated with the data include official document number format, date format, and storage and transportation station number.
What constraints these characteristics impose on document parsing and chunking
Fixed headers and footers in official documents, plus image noise in scanned study ledgers, require the parsing process to support mixed document format recognition and image noise reduction. Professional terminology and process-related content tied to hazardous chemicals storage and transportation scenarios require chunking to retain contextual connections, and avoid splitting professional process descriptions. Short-text attendance records and long-text study minutes coexist in the data, so chunking strategies must adapt to text units of varying lengths. The rhythm of data updates tied to work deployments requires the parsing process to support timeout fault tolerance for batch tasks, while retaining metadata such as file numbers and station numbers for subsequent Q&A association.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of professional terminology and process descriptions in hazardous chemicals storage and transportation Party building documents, avoids splitting related content |
chunkSplitter | Prioritize paragraph splitting | Matches the paragraph structure of official documents and discussion minutes, retains semantic completeness |
customPdfParse | Enable Marker parsing mode | Adapts to image content in scanned study ledgers, resolves issues where general parsing cannot recognize handwritten attendance records |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers parsing time for large batches of Party building documents, avoids mid-process timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports uploading multiple station ledgers and large meeting minute files in a single operation |
chunkSettingMode | Manual configuration mode | Adjusts chunking parameters for different types of Party building documents, adapts to mixed-format content |
Three common mistakes
- Symptom: Parsing tasks show no progress for an extended period after being called, and finally return a timeout error. Cause: The
customPdfParseconfiguration is not enabled for mixed-format hazardous chemicals storage and transportation Party building documents. General parsing mode cannot efficiently handle scenarios with mixed scanned ledgers and long documents. - Symptom: Handwritten Party building attendance record content cannot be extracted after enabling built-in file enhanced parsing in FastGPT v4.9.0. Cause: The built-in enhanced parsing does not adapt to the structure of Party building documents mixed with handwritten text and professional terminology. Switching to Marker parsing mode resolves the recognition issue.
- Symptom: After configuring the deepseek-r1 model, the file parsing tool cannot be triggered to load Party building documents during conversations. Cause: File parsing permission is not enabled in the model association configuration, or the
PARSE_FILE_TIMEOUT_SECONDSparameter is set too short, causing the tool call to not complete.
How to confirm the configuration is set correctly
- Use the FastGPT v4.17.0 platform, upload a single hazardous chemicals storage and transportation Party building meeting minute. Check if the parsed chunked text retains the connection between storage and transportation links and Party building requirements. Verify that the chunk length matches the preset configuration.
- Upload a scanned Party building attendance ledger. Verify that the parsing result extracts handwritten attendance information, and confirm that the
customPdfParseconfiguration is active. - Batch upload multiple station Party building documents. Check if the completion time of parsing tasks meets expectations, and verify that the
PARSE_FILE_TIMEOUT_SECONDSparameter covers the longest parsing time. - Trigger file upload parsing during the conversation flow. Confirm that the model can use the parsing results to complete Party building Q&A, and verify that the file parsing tool permission configuration is correct.
The values listed here are common starting points. Adjust them based on your own sample data.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.