Fix loading of Plotly JSON files serialized without pretty-printing#185
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Agent-Logs-Url: https://github.com/Multiomics-Analytics-Group/vuegen/sessions/e3bc6a3d-d1fe-43b2-bd8d-9217a4f53582 Co-authored-by: enryH <2833836+enryH@users.noreply.github.com>
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[WIP] Fix error loading plotly JSON files without pretty argument
Fix loading of Plotly JSON files serialized without pretty-printing
Apr 29, 2026
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When Plotly serializes a figure to JSON without pretty-printing (
plotly_json(p, pretty=FALSE)in R), large numeric arrays are encoded as binary TypedArrays instead of standard JSON arrays:{"dtype": "f8", "bdata": "UAyNjdA7uD9A...", "shape": "10, 8"}st.plotly_chart()cannot render these objects, causing the Streamlit report to error. Pretty-printed JSON uses plain arrays and works fine.Changes
src/vuegen/plot_utils.py— Newdecode_plotly_json()utility that recursively walks a parsed JSON object and decodes any{"dtype", "bdata"}TypedArray dict to a Python list. Supports all NumPy dtype codes (i1–i8,u1–u8,f4,f8) and handles 2-Dshapereshaping.src/vuegen/streamlit_reportview.py— Generated Plotly section code now callsplot_utils.decode_plotly_json(plot_json)immediately after JSON loading (both local files and URL fetches).from vuegen import plot_utilsis injected into generated imports.tests/test_plot_utils.py— Tests covering all dtype codes, 1-D/2-D shape handling, recursive decoding, and round-trip validation against the actual JSON files from the issue report.Test data & example report files — Added the issue's two example JSON files to example data; updated reference Streamlit section scripts to match the new generated output.