What the data for this category looks like
Advertising and marketing research report data mainly comes from monthly/quarterly industry analysis documents released by industry associations, internal campaign closing reports of advertisers, media exposure and conversion data documents from third-party monitoring institutions, and placement performance reports from marketing platforms. Update rhythms cover real-time updates for daily campaign closing, monthly industry dynamic updates, and quarterly market analysis updates. Document formats include Excel files with multi-dimensional tables, PDF documents with visual charts, and structured Word reports. Core fields include placement channel, placement period, exposure volume, conversion volume, input cost, and return amount, with corresponding units of channel name, period identifier, thousand impressions, person-times, yuan, and yuan.
Constraints Imposed on Document Parsing and Chunking by These Characteristics
The multi-source mixed format feature of advertising and marketing research reports requires the parsing link to adapt to three mainstream document formats: Excel (including multiple sheets), PDF (including embedded charts), and Word. Dedicated parsing rules must be configured for structured content of different formats. A single document often contains tens of thousands of rows of campaign data tables or over 100 pages of analysis content. The chunking link must avoid cutting off cross-page chart-related content or splitting multi-dimensional data of the same campaign plan. The strong business correlation of core fields requires aggregating content by campaign project or period during chunking, to prevent loss of business logic between data after splitting. High-frequency updated batch documents also impose requirements on parsing efficiency, requiring support for batch task concurrency and timeout control.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Advertising and marketing research reports often contain large numbers of tables and long documents; 600 seconds covers most single-file parsing requirements |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some closing report Excel files may contain massive amounts of data, requiring support for larger single-file uploads |
Chunk size | 800–1200 characters | Structured fields and text analysis of marketing research reports require sufficient contextual association; this range balances recall accuracy and content completeness |
PARSE_EXCEL_ENABLED | Enabled | Core data of advertising and marketing research reports is mostly stored in Excel tables, requiring complete extraction of structured data |
PARSE_TABLE_STRATEGY | Preserve original row and column structure | Field association of marketing data relies on the original table structure; splitting will lose business logic |
BATCH_PARSE_CONCURRENCY | 3–5 | Adapts to resource constraints of private deployment environments, avoiding service exceptions caused by overly high concurrency |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by document format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: In a private deployment environment, when parsing a marketing research report PDF with more than 50 pages, FastGPT returns a
504 Gateway Timeouterror, but third-party PDF parsing service logs show parsing succeeded. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted to a duration suitable for long documents; the default timeout threshold is insufficient to cover the parsing time of complex marketing research reports. - Phenomenon: After adding a file reading node in the FastGPT workflow, campaign data table content in the uploaded Excel cannot be extracted. Cause: The
PARSE_EXCEL_ENABLEDconfiguration item was not enabled, orPARSE_TABLE_STRATEGYwas not configured to preserve original row and column structure, resulting in incomplete Excel table parsing. - Phenomenon: In the open-source version 4.9.2, when uploading a large number of marketing research report documents, parsing interrupts midway, and restarting Docker cannot restore the parsing progress. Cause: The batch parsing concurrency threshold was not configured. Excessive concurrent tasks occupy system resources, causing the parsing process to be forcibly terminated, and this version does not have built-in default breakpoint resume configuration.
How to Confirm the Configuration Is Correct
- Upload a marketing research report PDF with more than 80 pages, verify whether timeout errors appear in the parsing log, and adjust the value of
PARSE_FILE_TIMEOUT_SECONDSbased on error results. - Upload an Excel marketing data file containing multi-dimensional tables, confirm that the parsed text includes complete core fields such as placement channel and exposure volume, and verify whether the Excel parsing configuration takes effect.
- View the parsing progress of batch uploaded documents, confirm whether interruptions occur midway, and adjust the value of
BATCH_PARSE_CONCURRENCYbased on system resource usage. - Test the chunk recall function, confirm that relevant data of the same campaign plan is not split into different recall results, and verify whether the chunking strategy configuration meets business requirements.
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.