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Runtime error
Timothyxxx
commited on
Commit
·
9611943
1
Parent(s):
ce102ad
Fix bugs; Add more demonstration for execution steps; Add input tables
Browse files- app.py +45 -16
- nsql/nsql_exec.py +6 -0
app.py
CHANGED
@@ -49,11 +49,12 @@ def get_key():
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ip = requests.get('https://checkip.amazonaws.com').text.strip()
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print(ip)
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URL = "http://54.242.37.195:8080/api/predict"
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# The springboard machine we built to protect the key, 20217 is the birthday of Tianbao's girlfriend
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# we will only let the demo machine have the access to the keys
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one_key = requests.post(url=URL, json={"data": "Hi, binder server. Give me a key!"}).json()['data'][0]
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return one_key
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@@ -96,6 +97,20 @@ def generate_binder_program(_args, _generator, _data_item):
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return response_dict["0"][0][0]
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# Set up
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import nltk
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@@ -217,34 +232,48 @@ try:
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if selected_language == 'SQL':
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with open("tmp_for_vis/{}_tmp_for_vis_steps.txt".format(stamp), "r") as f:
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steps = json.load(f)
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col1, col2, col3 = st.columns([4.7, 0.6, 4.7])
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# col1.subheader('Steps')
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# col3.subheader('Intermediate results')
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for i, step in enumerate(steps):
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col1, _, _ = st.columns([
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with col1:
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st.markdown(f'**Step#{i + 1}**')
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-
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with col1:
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st.markdown('```sql\n' + step + '\n```')
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with col2:
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st.markdown('$\\rightarrow$')
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with st.spinner('...'):
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time.sleep(1)
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with open("tmp_for_vis/{}_result_step_{}.txt".format(stamp, i), "r") as f:
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result_in_this_step = json.load(f)
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with col3:
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if isinstance(result_in_this_step, Dict):
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-
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-
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if isinstance(header, list):
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for idx in range(len(header)):
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if header[idx].startswith('col_'):
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header[idx] = step
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st.dataframe(pd.DataFrame(
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else:
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st.markdown(result_in_this_step)
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with st.spinner('...'):
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ip = requests.get('https://checkip.amazonaws.com').text.strip()
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print(ip)
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+
# URL = "http://54.242.37.195:8080/api/predict"
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# # The springboard machine we built to protect the key, 20217 is the birthday of Tianbao's girlfriend
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# # we will only let the demo machine have the access to the keys
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#
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# one_key = requests.post(url=URL, json={"data": "Hi, binder server. Give me a key!"}).json()['data'][0]
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one_key = "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"
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return one_key
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return response_dict["0"][0][0]
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def remove_row_id(table):
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new_table = {"header": [], "rows": []}
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header: list = table['header']
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rows = table['rows']
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if not 'row_id' in header:
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return table
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new_table['header'] = header[1:]
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new_table['rows'] = [row[1:] for row in rows]
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return new_table
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# Set up
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import nltk
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if selected_language == 'SQL':
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with open("tmp_for_vis/{}_tmp_for_vis_steps.txt".format(stamp), "r") as f:
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steps = json.load(f)
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for i, step in enumerate(steps):
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col1, _, _ = st.columns([7, 1, 2])
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with col1:
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st.markdown(f'**Step#{i + 1}**')
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if i == len(steps) - 1:
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col1, col1_25, col1_5, col2, col3 = st.columns([5, 0.3, 1.7, 1, 2])
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else:
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col1, col1_25, col1_5, col2, col3 = st.columns([3, 0.3, 2.7, 1, 2])
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with col1:
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st.markdown('```sql\n' + step + '\n```')
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with col1_25:
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st.markdown("on")
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with col1_5:
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if i == len(steps) - 1:
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st.metric(label="whole", value="Table", delta = None)
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else:
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with open("tmp_for_vis/{}_result_step_{}_input.txt".format(stamp, i), "r") as f:
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sub_tables_input = json.load(f)
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for sub_table in sub_tables_input:
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sub_table_to_print = remove_row_id(sub_table)
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st.dataframe(pd.DataFrame(sub_table_to_print['rows'], columns=sub_table_to_print['header']))
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with col2:
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st.markdown('$\\rightarrow$')
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if i == len(steps) - 1:
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# The final step
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st.metric(label="+", value="{}".format(selected_language), delta="Interpreter")
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else:
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st.metric(label="+", value="Codex", delta="10+ examples")
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with st.spinner('...'):
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time.sleep(1)
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with open("tmp_for_vis/{}_result_step_{}.txt".format(stamp, i), "r") as f:
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result_in_this_step = json.load(f)
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with col3:
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if isinstance(result_in_this_step, Dict):
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rows = remove_row_id(result_in_this_step)["rows"]
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header = remove_row_id(result_in_this_step)["header"]
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if isinstance(header, list):
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for idx in range(len(header)):
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if header[idx].startswith('col_'):
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header[idx] = step
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st.dataframe(pd.DataFrame(rows, columns=header), use_container_width=True)
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else:
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st.markdown(result_in_this_step)
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with st.spinner('...'):
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nsql/nsql_exec.py
CHANGED
@@ -120,6 +120,8 @@ class NSQLExecutor(object):
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qa_type="map",
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new_col_name_s=step.produced_col_name_s,
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verbose=verbose)
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with open("tmp_for_vis/{}_result_step_{}.txt".format(stamp, steps.index(step)), "w") as f:
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json.dump(sub_table, f)
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db.add_sub_table(sub_table, verbose=verbose)
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@@ -131,6 +133,8 @@ class NSQLExecutor(object):
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qa_type="map",
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new_col_name_s=["col_{}".format(col_idx)],
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verbose=verbose)
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with open("tmp_for_vis/{}_result_step_{}.txt".format(stamp, steps.index(step)), "w") as f:
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json.dump(sub_table, f)
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return extract_answers(sub_table)
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@@ -143,6 +147,8 @@ class NSQLExecutor(object):
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table_title=db.table_title,
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qa_type="ans",
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verbose=verbose)
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with open("tmp_for_vis/{}_result_step_{}.txt".format(stamp, steps.index(step)), "w") as f:
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json.dump(answer, f)
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if step.father:
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qa_type="map",
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new_col_name_s=step.produced_col_name_s,
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verbose=verbose)
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with open("tmp_for_vis/{}_result_step_{}_input.txt".format(stamp, steps.index(step)), "w") as f:
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json.dump(sql_executed_sub_tables, f)
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with open("tmp_for_vis/{}_result_step_{}.txt".format(stamp, steps.index(step)), "w") as f:
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json.dump(sub_table, f)
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db.add_sub_table(sub_table, verbose=verbose)
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qa_type="map",
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new_col_name_s=["col_{}".format(col_idx)],
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verbose=verbose)
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with open("tmp_for_vis/{}_result_step_{}_input.txt".format(stamp, steps.index(step)), "w") as f:
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json.dump(sql_executed_sub_tables, f)
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with open("tmp_for_vis/{}_result_step_{}.txt".format(stamp, steps.index(step)), "w") as f:
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json.dump(sub_table, f)
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return extract_answers(sub_table)
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table_title=db.table_title,
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qa_type="ans",
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verbose=verbose)
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with open("tmp_for_vis/{}_result_step_{}_input.txt".format(stamp, steps.index(step)), "w") as f:
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json.dump(sql_executed_sub_tables, f)
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with open("tmp_for_vis/{}_result_step_{}.txt".format(stamp, steps.index(step)), "w") as f:
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json.dump(answer, f)
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if step.father:
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