Is there a way to pipe the answer of an agent to a question, inside the text of another question? #897
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Qualtrics has a useful feature when the answer of a participant can be piped into subsequent question text. q_mostRecentGame = QuestionFreeText(
question_name="mostRecentGame",
question_text="What is the name of the game you most recently played?\n\nThis text will be copied into certain other questions, so please write only the game name and use abbreviations if needed."
)
q_bangs_1 = QuestionLinearScale(
question_name="bangs_1",
question_text="In my most recent session of {{mostRecentGame}}... I could play in the way I wanted.",
question_options=[1, 2, 3, 4, 5, 6, 7],
option_labels={1: "Strongly Disagree", 7: "Strongly Agree"}
) |
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Replies: 8 comments 2 replies
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It can! https://docs.expectedparrot.com/en/latest/surveys.html#id2 |
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Amazing, thank you I missed it -.- |
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I think I'm doing something wrong with it... as I'm getting "jinja2.exceptions.UndefinedError: 'mostRecentGame' is undefined" Current implementation q_mostRecentGame = QuestionFreeText(
question_name="mostRecentGame",
question_text="What is the name of the game you most recently played?\n\nThis text will be copied into certain other questions, so please write only the game name and use abbreviations if needed."
)
q_bangs_1 = QuestionLinearScale(
question_name="bangs_1",
question_text="In my most recent session of {{ mostRecentGame.answer }}... I could play in the way I wanted.",
question_options=[1, 2, 3, 4, 5, 6, 7],
option_labels={1: "Strongly Disagree", 7: "Strongly Agree"}
)
survey = Survey(questions = [
q_played24hr,
q_socialGaming,
q_mostRecentGame,
q_bangs_1,
q_bangs_2,
q_bangs_3,
q_bangs_4,
q_bangs_5,
q_bangs_6,
q_displacedActivity,
q_lifeSat,
q_affectiveValence,
q_bpnsfs_1,
q_bpnsfs_2,
q_bpnsfs_3,
q_bpnsfs_4,
q_bpnsfs_5,
q_bpnsfs_6,
q_sd_0,
q_sd_1_hour,
q_sd_1_minute,
q_sd_1_am_pm,
q_sd_2_hour,
q_sd_2_minute,
q_sd_2_am_pm,
q_sd_3,
q_sd_4_hour,
q_sd_4_minute,
q_sd_4_am_pm,
q_sd_5_hour,
q_sd_5_minute,
q_sd_5_am_pm,
q_sd_6,
#q_timeUse,
q_stress_argument,
q_howStress_arg,
q_stress_letpass,
q_howStress_letPass,
q_stress_school,
q_howStress_school,
q_stress_home,
q_howStress_home,
q_stress_discrim,
q_howStress_discrim,
q_stress_relative,
q_howStress_relative,
q_stress_other,
q_howStress_other
])
from edsl import Model
Model.available()
model = Model("gpt-4o-mini")
model.parameters['temperature'] = 0.7
#%%
survey_full_1= survey.set_lagged_memory(6)
results = survey_full_1.by(agents_list).by(model).run(progress_bar=True) |
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I am not able to reproduce this error with this code but I do not have the agents -- could you please share those details? |
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Notebook I'm running to try to reproduce: https://www.expectedparrot.com/content/6e0d1624-1062-4890-86c8-7b13628771ed |
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Ok I have reproduced the error (notebook is updated) -- it is a bug that occurs where there are questions after the questions that takes a piped answer: This works fine: This will generate the error: |
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Nice catch!! |
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THANK YOU @andreifoldes ! |
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I will get started on a fix ASAP - thanks for reporting @andreifoldes ! |
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Ok, candidate fix is here: #899 |
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It can! https://docs.expectedparrot.com/en/latest/surveys.html#id2
cc: @rbyh