docs: add broker reports batch processing example

[PAUL01zjb]

Add a convert -> export -> audit example that batch-processes Chinese PDF broker reports to Markdown with referenced figures, and list it in the examples index.

Checklist:

• Documentation has been updated, if necessary.
• Examples have been added, if necessary.
• Tests have been added, if necessary.

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[dolfim-ibm]

@PAUL01zjb your example looks like a simple convert + metadata report. I don't see anything specific about broker reports (no such example data, no specific output analysis.

My suggestion is

1. We could keep a simple generic example. Then rephrase it as (for example) convert and metadata report.
2. Or you could make the example much more specific, e.g. use some real data, do some specific information extraction, some visualization of the data in the report, etc

[PAUL01zjb]

Thanks for the review! I have updated the example to be genuinely broker-specific: - Bundled sample data: docs/examples/data/broker_report_sample.pdf, a synthetic Chinese broker report (key-financials table + NIM trend figure), so the example runs out of the box. - Specific information extraction: the script now walks the detected tables and extracts key financial metrics (revenue, net profit, net profit growth, ROE, NPL ratio, provision coverage, EPS, PE, PB) into a compact JSON summary aligned to report periods (2024A / 2025E / 2026E). - Output analysis: a per-file audit (pages / tables / pictures / extracted metrics) plus an optional revenue-vs-net-profit chart rendered with matplotlib when available (graceful fallback otherwise). The pipeline is still convert -> export -> audit, but the audit is now a machine-readable metrics summary rather than a bare metadata report. Michele Dolfi ***@***.***> 于2026年8月11日周二 15:39写道：

…

***@***.**** requested changes on this pull request. @PAUL01zjb <https://github.com/PAUL01zjb> your example looks like a simple convert + metadata report. I don't see anything specific about broker reports (no such example data, no specific output analysis. My suggestion is 1. We could keep a simple generic example. Then rephrase it as (for example) convert and metadata report. 2. Or you could make the example much more specific, e.g. use some real data, do some specific information extraction, some visualization of the data in the report, etc — Reply to this email directly, view it on GitHub <#3976?email_source=notifications&email_token=BMSYMAQ4UQSNL2XUUY2TUHL5JLEUPA5CNFSNUABKM5UWIORPF5TWS5BNNB2WEL2QOVWGYUTFOF2WK43UKJSXM2LFO4XTIOJQGM4TKOJTG4Y2M4TFMFZW63VHNVSW45DJN5XKKZLWMVXHJLDGN5XXIZLSL5RWY2LDNM#pullrequestreview-4903959371>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BMSYMAT4ZNHFSCHBTAYLI435JLEUPAVCNFSNUABFKJSXA33TNF2G64TZHM4DENRRGY4DCNRQHNEXG43VMU5TKMJRG43TAMZTGU32C5QC> . Triage notifications, keep track of coding agent tasks and review pull requests on the go with GitHub Mobile for iOS <https://github.com/notifications/mobile/ios/BMSYMAURGN5JBC3WHLOZPNT5JLEUPA5CNFSNUABKM5UWIORPF5TWS5BNNB2WEL2QOVWGYUTFOF2WK43UKJSXM2LFO4XTIOJQGM4TKOJTG4Y2M4TFMFZW63VHNVSW45DJN5XKKZLWMVXHJKTGN5XXIZLSL5UW64Y> and Android <https://github.com/notifications/mobile/android/BMSYMAVMHA4CSCFSKA65TYL5JLEUPA5CNFSNUABKM5UWIORPF5TWS5BNNB2WEL2QOVWGYUTFOF2WK43UKJSXM2LFO4XTIOJQGM4TKOJTG4Y2M4TFMFZW63VHNVSW45DJN5XKKZLWMVXHJLTGN5XXIZLSL5QW4ZDSN5UWI>. Download it today! You are receiving this because you were mentioned.Message ID: ***@***.***>