What the data for this category looks like
Data sources for telecommunications services intelligent due diligence reports include public financial reports of basic operators, telecommunications service procurement contracts, network operation archive documents, and spectrum usage license documents. Updates follow a quarterly rhythm aligned with financial report cycles. Procurement contracts are updated upon signing changes. Operation logs are archived daily.
Document structures mix structured tables (financial revenue, user scale data), long-form technical paragraphs (operation analysis, contract clauses), and attached charts (network topology, bandwidth allocation tables). Fields include bandwidth (unit Mbps/Gbps), user count (unit 10,000 households), contract term (unit calendar year), and spectrum band (unit GHz). Some documents contain cross-page continuous analysis content.
What constraints do these characteristics impose on the document parsing and chunking process
The mixed structure of structured tables and unstructured technical text requires the parsing process to support both structured table extraction and plain text segmentation, to avoid losing the association between financial and operation-related fields.
Large differences in length between long-form technical paragraphs and short clause texts require chunking to adapt to different paragraph boundaries, to avoid splitting technical term combinations or complete contract clauses.
Fields with clearly bound units (such as bandwidth and Mbps) require retaining the association between values and units during chunking, to prevent semantic failure after splitting.
Multi-page document content requires retaining contextual connections between pages, to avoid chunking truncating complete cross-page analysis paragraphs.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
USE_MARKER | true | Telecommunications due diligence PDFs often contain complex charts and cross-page tables. Marker's structured parsing capability aligns well with professional documents. |
enable_table_parse | true | Fully extract structured table fields such as financial revenue and user scale from documents. |
chunk_size | 800–1200 characters | Adapt to the length of long technical paragraphs and contract clauses in telecommunications service documents, retain contextual integrity. |
chunk_overlap | 100–150 characters | Prevent technical terms and clauses across segments from being separated. |
custom_separator | ["\n\n", "第", "条", "：", "Mbps", "GHz"] | Match line breaks, clause numbering, and professional term boundaries in documents, optimize chunking accuracy. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapt to parsing time of multi-page long PDFs, prevent timeout interruptions. |
UPLOAD_FILE_MAX_SIZE | 2048 MB | Support batch upload of multiple document packages related to telecommunications service due diligence. |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: An analysis error is returned after uploading a 3MB PDF, and the log contains
{"detail":"错误信息"}. Cause:PARSE_FILE_TIMEOUT_SECONDSis not configured to a duration suitable for long documents, orUPLOAD_FILE_MAX_SIZEdoes not cover the actual file size. - Phenomenon: After configuring custom separators, chunking still merges multiple paragraphs or splits a single complete paragraph. Cause: The custom separators do not cover the dedicated separation identifiers in telecommunications service documents, such as clause numbering and professional term prefixes.
- Phenomenon: An error occurs when parsing PDFs after deploying Marker via Docker. Cause: Marker's environment variables are not configured correctly, or the deployment version is incompatible with FastGPT v4.8.17.
How to confirm the configuration is correct
- Upload a standard telecommunications service due diligence PDF, check whether the parsed structured tables have fully extracted fields such as bandwidth and user count.
- Adjust the
chunk_sizeandcustom_separatorparameters, compare chunking results under different configurations, confirm that paragraph boundaries match the actual document structure. - Check deployment logs, confirm that the Marker parsing engine starts normally, and there are no environment variable configuration error prompts.
- Upload test files, confirm that the upload and analysis processes do not trigger timeout or size limit errors.
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.