init

.gitignore

@@ -0,0 +1,178 @@
+# Created by https://www.toptal.com/developers/gitignore/api/python
+# Edit at https://www.toptal.com/developers/gitignore?templates=python
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+### Python Patch ###
+# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
+poetry.toml
+
+# ruff
+.ruff_cache/
+
+# LSP config files
+pyrightconfig.json
+
+# End of https://www.toptal.com/developers/gitignore/api/python
+
+.streamlit/

api.py

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+import streamlit as st
+from google.cloud import firestore
+
+# Authenticate to Firestore with the JSON account key.
+db = firestore.Client.from_service_account_json("./firebase.json")
+
+def show_likert_scale(step, type, id):
+    st.write("-----------------------------------")
+    st.subheader(f"'{type}' makes sense to me.")
+    scale = st.radio(
+        "",
+        ["Strongly disagree", "Disagree", "Neutral", "Agree", "Strongly agree"],
+        index=None,
+        horizontal=True,
+    )
+    if type == 'Whole':
+        dependsOn = 'Whole'
+    else:
+        st.write("..................................."*10)
+        st.subheader(f"'{type}' is dependent on?")
+        dependsOn = st.radio(
+            "",
+            ["Image", "Text", "Both", "Neither"],
+            index=None,
+            horizontal=True,
+        )
+    submit = st.button('Submit', disabled=scale is None or dependsOn is None)
+    st.write("-----------------------------------")
+    if submit and scale:
+        st.write(f"You selected '{scale}' and {dependsOn}.")
+
+        user = st.session_state['user']
+        doc_ref = db.collection(step).document(id)
+
+        doc_ref.set({
+            user: {
+                'scale': scale,
+                'dependsOn': dependsOn,
+            },
+        }, merge=True)
+
+        return True
+
+# show_likert_scale('all', 'tmp_cond', '10')
+
+
+
+# Create a reference to the Google post.
+# doc_ref = db.collection("posts").document("Google")
+
+# # Then get the data at that reference.
+# doc = doc_ref.get()
+
+# # Let's see what we got!
+# st.write("The id iss: ", doc.id)
+# st.write("The contents are: ", doc.to_dict())

app.py

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+import streamlit as st
+import pandas as pd
+import random
+from auth import check_password
+
+if not check_password():
+    st.stop()
+
+st.set_page_config(
+    page_title="ARL - Pilot 2a",
+    page_icon="🎆",
+    layout="wide",
+)
+
+df = pd.read_csv('./results.csv')
+print(df.columns)
+
+
+query = st.experimental_get_query_params()
+if not query or 'id4' not in query or not query['id4']:
+    rnd_ind = random.randint(0, len(df) - 1)
+    # id = rnd_ind
+    id = 0
+    st.experimental_set_query_params(id=id)
+    file_id = id
+else:
+    file_id = int(query['id4'][0])
+
+
+st.experimental_set_query_params(id4=file_id)
+
+data = df.iloc[file_id]
+# st.table(data)
+# print(data)
+
+def show_story():
+    st.subheader('Impacted Story')
+    number_of_story_lines = int(data['Input.number_of_lines'])
+    print(number_of_story_lines)
+    story = data['Input.story'].split('. ')
+    for i in range(number_of_story_lines):
+        row_name = f'Answer.line{i}_changed.on'
+        print(row_name, data[row_name])
+        if data[row_name]:
+            st.markdown(f'**Line {i+1}:** <mark style="background-color: white">{story[i]}</mark>', unsafe_allow_html=True)
+        else:
+            st.markdown(f'**Line {i+1}:** {story[i]}')
+
+
+def show_data():
+    col1, col2 = st.columns(2)
+
+    with col1:
+        img1, img2, img3 = st.columns(3)
+        with img1:
+            st.image(data['Input.image1'])
+        with img2:
+            st.image(data['Input.image2'])
+        with img3:
+            st.image(data['Input.image3'])
+
+        st.subheader('Entity')
+        st.write(data['Input.entity'])
+        st.subheader('Agent')
+        st.write(data['Input.agent'])
+        # st.subheader('Input Goal')
+        # st.write(data['Input.goal'])
+        st.subheader('Story')
+        st.write(data['Input.story'])
+
+    with col2:
+        st.subheader('Goal')
+        st.write(data['Answer.goal'])
+        st.subheader('Condition Necessary')
+        st.write(data['Answer.condition'])
+        st.subheader('Altered Condition')
+        st.write(data['Answer.not_condition'])
+        st.subheader('Lead to Altered Condition')
+        st.write(data['Answer.not_condition_ep'])
+
+        if data['Answer.story_impact.yes']:
+            show_story()
+        else:
+            st.subheader('Why no impact?')
+            st.text(data['Answer.why_no_impact'])
+            print(data)
+
+    from  api import show_likert_scale
+    done = show_likert_scale('step_all', 'Whole', data['AssignmentId'])
+    
+    if st.button("Next", disabled=not done):
+        id = file_id + 1
+        st.experimental_set_query_params(id4=id)
+        st.experimental_rerun()
+
+
+
+
+show_data()

auth.py

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+import streamlit as st
+
+def check_password():
+    """Returns `True` if the user had the correct password."""
+
+    def password_entered():
+        """Checks whether a password entered by the user is correct."""
+        if st.session_state["password"] in st.secrets["passwords"]:
+            st.session_state['user'] = st.session_state["password"]
+            st.session_state["password_correct"] = True
+        else:
+            st.session_state["password_correct"] = False
+
+    if "password_correct" not in st.session_state:
+        # First run, show input for password.
+        st.text_input(
+            "Password", type="password", on_change=password_entered, key="password"
+        )
+        return False
+    elif not st.session_state["password_correct"]:
+        # Password not correct, show input + error.
+        st.text_input(
+            "Password", type="password", on_change=password_entered, key="password"
+        )
+        st.error("😕 Password incorrect")
+        return False
+    else:
+        # Password correct.
+        return True

firebase.json

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+{
+  "type": "service_account",
+  "project_id": "b-agent-80",
+  "private_key_id": "f1ddcb019394eea19abe8e51f5351f9b8f5b7da0",
+  "private_key": "-----BEGIN PRIVATE KEY-----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\no+9/Mmhdsa3Kh8PvyPu9VsDt\n-----END PRIVATE KEY-----\n",
+  "client_email": "firebase-adminsdk-os25p@b-agent-80.iam.gserviceaccount.com",
+  "client_id": "108689290737260326543",
+  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+  "token_uri": "https://oauth2.googleapis.com/token",
+  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/firebase-adminsdk-os25p%40b-agent-80.iam.gserviceaccount.com",
+  "universe_domain": "googleapis.com"
+}

get_data.py

@@ -0,0 +1,42 @@
+from google.cloud import firestore
+import pandas as pd
+
+# Authenticate to Firestore with the JSON account key.
+db = firestore.Client.from_service_account_json("./firebase.json")
+
+scale = {
+    "Strongly disagree": 1,
+    "Disagree": 2,
+    "Neutral": 3,
+    "Agree": 4,
+    "Strongly agree": 5,
+}
+
+def get_data():
+    data = {
+        'id': []
+    }
+    obj = {}
+    for step in ["step_0", "step_1", "step_2", "step_3", "step_4", "step_all"]:
+        data = { **data, step: [], step + "_depends_on": [] }
+        collection = db.collection(step)
+        # print(collection)
+        docs = collection.stream()
+        for doc in docs:
+            if doc.id not in obj:
+                obj[doc.id] = {}
+            obj[doc.id][step] = scale[doc.to_dict()['beamlak']['scale']]
+            obj[doc.id][step + "_depends_on"] = doc.to_dict()['beamlak']['dependsOn']
+
+    
+    for key in obj:
+        data['id'].append(key)
+        for step in ["step_0", "step_1", "step_2", "step_3", "step_4", "step_all"]:
+            data[step].append(obj[key][step])
+        for step in ["step_0", "step_1", "step_2", "step_3", "step_4", "step_all"]:
+            data[step + "_depends_on"].append(obj[key][step + "_depends_on"])
+    return data
+
+data = get_data()
+df = pd.DataFrame(data)
+df.to_csv('./likert.csv', index=False)

pages/00_Step 0: Goal.py

@@ -0,0 +1,102 @@
+import streamlit as st
+import pandas as pd
+from auth import check_password
+
+if not check_password():
+    st.stop()
+
+st.set_page_config(
+    page_title="ARL - Pilot 2a",
+    page_icon="🎆",
+    layout="wide",
+)
+
+df = pd.read_csv('./results.csv')
+print(df.columns)
+
+
+query = st.experimental_get_query_params()
+if not query or 'id0' not in query or not query['id0']:
+    # rnd_ind = random.randint(0, len(df) - 1)
+    id = 0
+    st.experimental_set_query_params(id0=id)
+    file_id = id
+else:
+    file_id = int(query['id0'][0])
+
+
+st.experimental_set_query_params(id0=file_id)
+
+data = df.iloc[file_id]
+# st.table(data)
+
+
+def show_story():
+    st.subheader('Impacted Story')
+    number_of_story_lines = int(data['Input.number_of_lines'])
+    story = data['Input.story'].split('. ')
+    for i in range(number_of_story_lines):
+        st.markdown(f'**Line {i+1}:** {story[i]}')
+        row_name = f'Answer.line{i}_changed.on'
+        print(row_name, data[row_name])
+        if data[row_name]:
+            st.markdown(f'<mark style="background-color: white">{data[f"Answer.story_text_{i}_changed"]}</mark>', unsafe_allow_html=True)
+            # st.text_area(
+            #     '',
+            #     value=data[f'Answer.story_text_{i}_changed'],
+            #     height=20,
+            #     disabled=True,
+            #     label_visibility='hidden'
+            # )
+
+
+def show_data():
+    col1, col2 = st.columns(2)
+
+    with col1:
+        img1, img2, img3 = st.columns(3)
+        with img1:
+            st.image(data['Input.image1'])
+        with img2:
+            st.image(data['Input.image2'])
+        with img3:
+            st.image(data['Input.image3'])
+
+        st.subheader('Entity')
+        st.write(data['Input.entity'])
+        st.subheader('Agent')
+        st.write(data['Input.agent'])
+        # st.subheader('Input Goal')
+        # st.write(data['Input.goal'])
+        st.subheader('Story')
+        st.write(data['Input.story'])
+
+    with col2:
+        st.subheader('Goal')
+        st.write(data['Answer.goal'])
+        # st.subheader('Condition Necessary')
+        # st.write(data['Answer.condition'])
+        # st.subheader('Altered Condition')
+        # st.write(data['Answer.not_condition'])
+        # st.subheader('Lead to Altered Condition')
+        # st.write(data['Answer.not_condition_ep'])
+
+        # if data['Answer.story_impact.yes'] == True:
+        #     show_story()
+        # else:
+        #     st.subheader('Why no impact?')
+        #     st.text(data['Answer.why_no_impact'])
+        #     print(data)
+
+    from  api import show_likert_scale
+    done = show_likert_scale('step_0', 'Goal', data['AssignmentId'])
+
+    if st.button("Next", disabled=not done):
+        id = file_id + 1
+        st.experimental_set_query_params(id0=id)
+        st.experimental_rerun()
+
+
+    # st.table(data)
+
+show_data()

pages/01_Step 1: Condition Necesssary.py

@@ -0,0 +1,102 @@
+import streamlit as st
+import pandas as pd
+from auth import check_password
+
+if not check_password():
+    st.stop()
+
+st.set_page_config(
+    page_title="ARL - Pilot 2a",
+    page_icon="🎆",
+    layout="wide",
+)
+
+df = pd.read_csv('./results.csv')
+print(df.columns)
+
+
+query = st.experimental_get_query_params()
+if not query or 'id1' not in query or not query['id1']:
+    # rnd_ind = random.randint(0, len(df) - 1)
+    id = 0
+    st.experimental_set_query_params(id1=id)
+    file_id = id
+else:
+    file_id = int(query['id1'][0])
+
+
+st.experimental_set_query_params(id1=file_id)
+
+data = df.iloc[file_id]
+# st.table(data)
+
+
+def show_story():
+    st.subheader('Impacted Story')
+    number_of_story_lines = int(data['Input.number_of_lines'])
+    story = data['Input.story'].split('. ')
+    for i in range(number_of_story_lines):
+        st.markdown(f'**Line {i+1}:** {story[i]}')
+        row_name = f'Answer.line{i}_changed.on'
+        print(row_name, data[row_name])
+        if data[row_name]:
+            st.markdown(f'<mark style="background-color: white">{data[f"Answer.story_text_{i}_changed"]}</mark>', unsafe_allow_html=True)
+            # st.text_area(
+            #     '',
+            #     value=data[f'Answer.story_text_{i}_changed'],
+            #     height=20,
+            #     disabled=True,
+            #     label_visibility='hidden'
+            # )
+
+
+def show_data():
+    col1, col2 = st.columns(2)
+
+    with col1:
+        img1, img2, img3 = st.columns(3)
+        with img1:
+            st.image(data['Input.image1'])
+        with img2:
+            st.image(data['Input.image2'])
+        with img3:
+            st.image(data['Input.image3'])
+
+        st.subheader('Entity')
+        st.write(data['Input.entity'])
+        st.subheader('Agent')
+        st.write(data['Input.agent'])
+        # st.subheader('Input Goal')
+        # st.write(data['Input.goal'])
+        st.subheader('Story')
+        st.write(data['Input.story'])
+
+    with col2:
+        st.subheader('Goal')
+        st.write(data['Answer.goal'])
+        st.subheader('Condition Necessary')
+        st.write(data['Answer.condition'])
+        # st.subheader('Altered Condition')
+        # st.write(data['Answer.not_condition'])
+        # st.subheader('Lead to Altered Condition')
+        # st.write(data['Answer.not_condition_ep'])
+
+        # if data['Answer.story_impact.yes'] == True:
+        #     show_story()
+        # else:
+        #     st.subheader('Why no impact?')
+        #     st.text(data['Answer.why_no_impact'])
+        #     print(data)
+
+    from  api import show_likert_scale
+    done = show_likert_scale('step_1', 'Necessary Condition', data['AssignmentId'])
+
+    if st.button("Next", disabled=not done):
+        id = file_id + 1
+        st.experimental_set_query_params(id1=id)
+        st.experimental_rerun()
+
+
+    # st.table(data)
+
+show_data()

pages/02_Step 2: Altered Condition.py

@@ -0,0 +1,104 @@
+import streamlit as st
+import pandas as pd
+import random
+from auth import check_password
+
+if not check_password():
+    st.stop()
+
+st.set_page_config(
+    page_title="ARL - Pilot 2a",
+    page_icon="🎆",
+    layout="wide",
+)
+
+df = pd.read_csv('./results.csv')
+print(df.columns)
+
+
+query = st.experimental_get_query_params()
+if not query or 'id2' not in query or not query['id2']:
+    rnd_ind = random.randint(0, len(df) - 1)
+    # id = rnd_ind
+    id = 0
+    st.experimental_set_query_params(id2=id)
+    file_id = id
+else:
+    file_id = int(query['id2'][0])
+
+
+st.experimental_set_query_params(id2=file_id)
+
+data = df.iloc[file_id]
+# st.table(data)
+
+
+def show_story():
+    st.subheader('Impacted Story')
+    number_of_story_lines = int(data['Input.number_of_lines'])
+    story = data['Input.story'].split('. ')
+    for i in range(number_of_story_lines):
+        st.markdown(f'**Line {i+1}:** {story[i]}')
+        row_name = f'Answer.line{i}_changed.on'
+        print(row_name, data[row_name])
+        if data[row_name]:
+            st.markdown(f'<mark style="background-color: white">{data[f"Answer.story_text_{i}_changed"]}</mark>', unsafe_allow_html=True)
+            # st.text_area(
+            #     '',
+            #     value=data[f'Answer.story_text_{i}_changed'],
+            #     height=20,
+            #     disabled=True,
+            #     label_visibility='hidden'
+            # )
+
+
+def show_data():
+    col1, col2 = st.columns(2)
+
+    with col1:
+        img1, img2, img3 = st.columns(3)
+        with img1:
+            st.image(data['Input.image1'])
+        with img2:
+            st.image(data['Input.image2'])
+        with img3:
+            st.image(data['Input.image3'])
+
+        st.subheader('Entity')
+        st.write(data['Input.entity'])
+        st.subheader('Agent')
+        st.write(data['Input.agent'])
+        # st.subheader('Input Goal')
+        # st.write(data['Input.goal'])
+        st.subheader('Story')
+        st.write(data['Input.story'])
+
+    with col2:
+        st.subheader('Goal')
+        st.write(data['Answer.goal'])
+        st.subheader('Condition Necessary')
+        st.write(data['Answer.condition'])
+        st.subheader('Altered Condition')
+        st.write(data['Answer.not_condition'])
+        # st.subheader('Lead to Altered Condition')
+        # st.write(data['Answer.not_condition_ep'])
+
+        # if data['Answer.story_impact.yes'] == True:
+        #     show_story()
+        # else:
+        #     st.subheader('Why no impact?')
+        #     st.text(data['Answer.why_no_impact'])
+        #     print(data)
+
+    from  api import show_likert_scale
+    done = show_likert_scale('step_2', 'Altered Condition', data['AssignmentId'])
+
+    if st.button("Next", disabled=not done):
+        id = file_id + 1
+        st.experimental_set_query_params(id2=id)
+        st.experimental_rerun()
+
+
+    # st.table(data)
+
+show_data()

pages/03_Step 3: Lead to Altered Condition.py

@@ -0,0 +1,104 @@
+import streamlit as st
+import pandas as pd
+import random
+from auth import check_password
+
+if not check_password():
+    st.stop()
+
+st.set_page_config(
+    page_title="ARL - Pilot 2a",
+    page_icon="🎆",
+    layout="wide",
+)
+
+df = pd.read_csv('./results.csv')
+print(df.columns)
+
+
+query = st.experimental_get_query_params()
+if not query or 'id3' not in query or not query['id3']:
+    rnd_ind = random.randint(0, len(df) - 1)
+    # id = rnd_ind
+    id = 0
+    st.experimental_set_query_params(id3=id)
+    file_id = id
+else:
+    file_id = int(query['id3'][0])
+
+
+st.experimental_set_query_params(id3=file_id)
+
+data = df.iloc[file_id]
+# st.table(data)
+
+
+def show_story():
+    st.subheader('Impacted Story')
+    number_of_story_lines = int(data['Input.number_of_lines'])
+    story = data['Input.story'].split('. ')
+    for i in range(number_of_story_lines):
+        st.markdown(f'**Line {i+1}:** {story[i]}')
+        row_name = f'Answer.line{i}_changed.on'
+        print(row_name, data[row_name])
+        if data[row_name]:
+            st.markdown(f'<mark style="background-color: white">{data[f"Answer.story_text_{i}_changed"]}</mark>', unsafe_allow_html=True)
+            # st.text_area(
+            #     '',
+            #     value=data[f'Answer.story_text_{i}_changed'],
+            #     height=20,
+            #     disabled=True,
+            #     label_visibility='hidden'
+            # )
+
+
+def show_data():
+    col1, col2 = st.columns(2)
+
+    with col1:
+        img1, img2, img3 = st.columns(3)
+        with img1:
+            st.image(data['Input.image1'])
+        with img2:
+            st.image(data['Input.image2'])
+        with img3:
+            st.image(data['Input.image3'])
+
+        st.subheader('Entity')
+        st.write(data['Input.entity'])
+        st.subheader('Agent')
+        st.write(data['Input.agent'])
+        # st.subheader('Input Goal')
+        # st.write(data['Input.goal'])
+        st.subheader('Story')
+        st.write(data['Input.story'])
+
+    with col2:
+        st.subheader('Goal')
+        st.write(data['Answer.goal'])
+        st.subheader('Condition Necessary')
+        st.write(data['Answer.condition'])
+        st.subheader('Altered Condition')
+        st.write(data['Answer.not_condition'])
+        st.subheader('Lead to Altered Condition')
+        st.write(data['Answer.not_condition_ep'])
+
+        # if data['Answer.story_impact.yes'] == True:
+        #     show_story()
+        # else:
+        #     st.subheader('Why no impact?')
+        #     st.text(data['Answer.why_no_impact'])
+        #     print(data)
+
+    from  api import show_likert_scale
+    done = show_likert_scale('step_3', 'Lead to Altered Condition', data['AssignmentId'])
+
+    if st.button("Next", disabled=not done):
+        id = file_id + 1
+        st.experimental_set_query_params(id3=id)
+        st.experimental_rerun()
+
+
+    # st.table(data)
+
+show_data()

pages/04_Step 4: Story.py

@@ -0,0 +1,102 @@
+import streamlit as st
+import pandas as pd
+import random
+from auth import check_password
+
+if not check_password():
+    st.stop()
+
+st.set_page_config(
+    page_title="ARL - Pilot 2a",
+    page_icon="🎆",
+    layout="wide",
+)
+
+df = pd.read_csv('./results.csv')
+print(df.columns)
+
+
+query = st.experimental_get_query_params()
+if not query or 'id4' not in query or not query['id4']:
+    rnd_ind = random.randint(0, len(df) - 1)
+    # id = rnd_ind
+    id = 0
+    st.experimental_set_query_params(id4=id)
+    file_id = id
+else:
+    file_id = int(query['id4'][0])
+
+
+st.experimental_set_query_params(id4=file_id)
+
+data = df.iloc[file_id]
+# st.table(data)
+
+
+def show_story():
+    st.subheader('Impacted Story')
+    number_of_story_lines = int(data['Input.number_of_lines'])
+    print(number_of_story_lines)
+    story = data['Input.story'].split('. ')
+    for i in range(number_of_story_lines):
+        row_name = f'Answer.line{i}_changed.on'
+        print(row_name, data[row_name])
+        if data[row_name]:
+            st.markdown(f'**Line {i+1}:** <mark style="background-color: white">{story[i]}</mark>', unsafe_allow_html=True)
+        else:
+            st.markdown(f'**Line {i+1}:** {story[i]}')
+
+
+def show_data():
+    col1, col2 = st.columns(2)
+
+    with col1:
+        img1, img2, img3 = st.columns(3)
+        with img1:
+            st.image(data['Input.image1'])
+        with img2:
+            st.image(data['Input.image2'])
+        with img3:
+            st.image(data['Input.image3'])
+
+        st.subheader('Entity')
+        st.write(data['Input.entity'])
+        st.subheader('Agent')
+        st.write(data['Input.agent'])
+        # st.subheader('Input Goal')
+        # st.write(data['Input.goal'])
+        st.subheader('Story')
+        st.write(data['Input.story'])
+
+    with col2:
+        st.subheader('Goal')
+        st.write(data['Answer.goal'])
+        st.subheader('Condition Necessary')
+        st.write(data['Answer.condition'])
+        st.subheader('Altered Condition')
+        st.write(data['Answer.not_condition'])
+        st.subheader('Lead to Altered Condition')
+        st.write(data['Answer.not_condition_ep'])
+
+        print("*****", data['Answer.story_impact.yes'])
+
+        if data['Answer.story_impact.yes']:
+            print("*****", data['Answer.story_impact.yes'])
+            show_story()
+        else:
+            st.subheader('Why no impact?')
+            st.text(data['Answer.why_no_impact'])
+            print(data)
+
+    from  api import show_likert_scale
+    done = show_likert_scale('step_4', 'Rewritten Story', data['AssignmentId'])
+
+    if st.button("Next", disabled=not done):
+        id = file_id + 1
+        st.experimental_set_query_params(id4=id)
+        st.experimental_rerun()
+
+
+    # st.table(data)
+
+show_data()

requirements.txt

@@ -0,0 +1,2 @@
+google-cloud-firestore
+path