feat: Add question-by-question theme analysis
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55
main.jl
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main.jl
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@ -41,7 +41,10 @@ function logged_prompt(prompt)
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return response
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return response
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end #function
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end #function
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question_dict = Dict()
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for q in questions
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for q in questions
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# Summarize the major themes among all answers
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analysis_prompt = """
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analysis_prompt = """
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The following is a list of answers to a survey with one response per paragraph:
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The following is a list of answers to a survey with one response per paragraph:
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@ -63,9 +66,61 @@ for q in questions
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analysis_response = logged_prompt(analysis_prompt)
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analysis_response = logged_prompt(analysis_prompt)
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# Compile all themes that Llama3 identified.
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# Llama3 tends to summarize each theme with a bolded statement.
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# We will extract the bolded statements to compile themes
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themes = String[]
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for l in eachline(IOBuffer(analysis_response))
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m = match(r"^[1-9]+\. \*\*(.+)\*\*:", l)
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isnothing(m) || push!(themes, first(m))
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end #for
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@info "Found themes $themes"
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answer_dict = Dict()
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# Now go back through each answer and check if it is addressing the theme noted
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for (i, a) in enumerate(skipmissing(survey_data[!, q]))
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i == 1 && continue #first "answer" is the question
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theme_dict = Dict{String,Union{Bool,Missing}}()
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for t in themes
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theme_prompt = """
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The following was answered as a free-response answer on a survey:
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$a
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---
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Does this answer deal with the theme of $t? Answer yes or no.
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"""
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theme_response = logged_prompt(theme_prompt)
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if startswith(lowercase(theme_response), "yes")
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theme_dict[t] = true
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elseif startswith(lowercase(theme_response), "no")
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theme_dict[t] = false
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else
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theme_dict[t] = missing
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end #if
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end #for
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answer_dict[a] = theme_dict
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end #for
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question_dict[q] = answer_dict
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end #for
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end #for
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open("results.json", "w") do io
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JSON3.write(io, question_dict)
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end
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# Compile comments from all requested questions
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# Compile comments from all requested questions
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for q in questions
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for q in questions
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open("$q.md", "w") do f
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open("$q.md", "w") do f
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