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from typing import List
import plotly.io as pio
import plotly.express as px
import pandas as pd
from utils import TEMP_DIR
import os
import ast
from dotenv import load_dotenv
load_dotenv()
root_url = os.getenv("ROOT_URL")
def llm_chart_data_scrub(data, layout):
#Processing data to account for variation from LLM
data_list = []
layout_dict = {}
if isinstance(data, list):
data_list = data
else:
data_list.append(data)
false_replace = [':false', ': false']
false_value = ':False'
true_replace = [':true', ': true']
true_value = ':True'
data_dict = {}
for data_obj in data_list:
if isinstance(data_obj, str):
data_obj = data_obj.replace("\n", "")
for replace in false_replace:
data_obj = data_obj.replace(replace, false_value)
for replace in true_replace:
data_obj = data_obj.replace(replace, true_value)
print(data_obj)
data_dict = ast.literal_eval(data_obj)
else:
data_dict = data_obj
if layout and isinstance(layout, list):
layout_obj = layout[0]
else:
layout_obj = layout
if layout_obj and isinstance(layout_obj, str):
for replace in false_replace:
layout_obj = layout_obj.replace(replace, false_value)
for replace in true_replace:
layout_obj = layout_obj.replace(replace, true_value)
print(layout_obj)
layout_dict = ast.literal_eval(layout_obj)
else:
layout_dict = layout_obj
return data_dict, layout_dict
def scatter_chart_fig(df, x_column: List[str], y_column: str, category: str="", trendline: str="",
trendline_options: List[dict]=[{}], marginal_x: str="", marginal_y: str="",
size: str=""):
function_args = {"data_frame":df, "x":x_column, "y":y_column}
if category:
function_args["color"] = category
if trendline:
function_args["trendline"] = trendline
if marginal_x:
function_args["marginal_x"] = marginal_x
if marginal_y:
function_args["marginal_y"] = marginal_y
if size:
df.loc[df[size] < 0, size] = 0
function_args["size"] = size
if trendline_options:
trendline_options_dict = {}
if trendline_options and isinstance(trendline_options, list):
trendline_options_obj = trendline_options[0]
else:
trendline_options_obj = trendline_options
if trendline_options_obj and isinstance(trendline_options_obj, str):
trendline_options_dict = ast.literal_eval(trendline_options_obj)
else:
trendline_options_dict = trendline_options_obj
function_args["trendline_options"] = trendline_options_dict
fig = px.scatter(**function_args)
return fig
def scatter_chart_generation_func(x_column: List[str], y_column: str, session_hash, session_folder, data: List[dict]=[{}], layout: List[dict]=[{}],
category: str="", trendline: str="", trendline_options: List[dict]=[{}], marginal_x: str="", marginal_y: str="",
size: str="", **kwargs):
try:
dir_path = TEMP_DIR / str(session_hash) / str(session_folder)
chart_path = f'{dir_path}/chart.html'
csv_query_path = f'{dir_path}/query.csv'
df = pd.read_csv(csv_query_path)
initial_graph = scatter_chart_fig(df, x_column=x_column, y_column=y_column,
category=category, trendline=trendline, trendline_options=trendline_options,
marginal_x=marginal_x, marginal_y=marginal_y, size=size)
fig = initial_graph.to_dict()
print(data)
print(layout)
data_dict,layout_dict = llm_chart_data_scrub(data,layout)
#Applying stylings and settings generated from LLM
if layout_dict:
fig["layout"] = layout_dict
data_ignore = ["x","y","type"]
if size:
data_ignore.append("marker")
for key, value in data_dict.items():
if key not in data_ignore:
for data_item in fig["data"]:
data_item[key] = value
pio.write_html(fig, chart_path, full_html=False)
chart_url = f'{root_url}/gradio_api/file/temp/{session_hash}/{session_folder}/chart.html'
iframe = 'Please display this iframe: <div style=overflow:auto;><iframe\n scrolling="yes"\n width="1000px"\n height="500px"\n src="' + chart_url + '"\n frameborder="0"\n allowfullscreen\n></iframe>\n</div>'
return {"reply": iframe}
except Exception as e:
print("SCATTER PLOT ERROR")
print(e)
reply = f"""There was an error generating the Plotly Scatter Plot from {x_column}, {y_column}, {data}, and {layout}
The error is {e},
You should probably try again.
"""
return {"reply": reply}
def line_chart_generation_func(x_column: str, y_column: str, session_hash, session_folder, data: List[dict]=[{}], layout: List[dict]=[{}],
category: str="", **kwargs):
try:
dir_path = TEMP_DIR / str(session_hash) / str(session_folder)
chart_path = f'{dir_path}/chart.html'
csv_query_path = f'{dir_path}/query.csv'
df = pd.read_csv(csv_query_path)
function_args = {"data_frame":df, "x":x_column, "y":y_column}
if category:
function_args["color"] = category
initial_graph = px.line(**function_args)
fig = initial_graph.to_dict()
data_dict,layout_dict = llm_chart_data_scrub(data,layout)
print(data_dict)
print(layout_dict)
#Applying stylings and settings generated from LLM
if layout_dict:
fig["layout"] = layout_dict
for key, value in data_dict.items():
if key not in ["x","y","type"]:
for data_item in fig["data"]:
data_item[key] = value
print(fig)
pio.write_html(fig, chart_path, full_html=False)
chart_url = f'{root_url}/gradio_api/file/temp/{session_hash}/{session_folder}/chart.html'
iframe = 'Please display this iframe: <div style=overflow:auto;><iframe\n scrolling="yes"\n width="1000px"\n height="500px"\n src="' + chart_url + '"\n frameborder="0"\n allowfullscreen\n></iframe>\n</div>'
return {"reply": iframe}
except Exception as e:
print("LINE CHART ERROR")
print(e)
reply = f"""There was an error generating the Plotly Line Chart from {x_column}, {y_column}, {data}, and {layout}
The error is {e},
You should probably try again.
"""
return {"reply": reply}
def bar_chart_generation_func(x_column: str, y_column: str, session_hash, session_folder, data: List[dict]=[{}], layout: List[dict]=[{}],
category: str="", facet_row: str="", facet_col: str="", **kwargs):
try:
dir_path = TEMP_DIR / str(session_hash) / str(session_folder)
chart_path = f'{dir_path}/chart.html'
csv_query_path = f'{dir_path}/query.csv'
df = pd.read_csv(csv_query_path)
function_args = {"data_frame":df, "x":x_column, "y":y_column}
if category:
function_args["color"] = category
if facet_row:
function_args["facet_row"] = facet_row
if facet_col:
function_args["facet_col"] = facet_col
initial_graph = px.bar(**function_args)
fig = initial_graph.to_dict()
data_dict,layout_dict = llm_chart_data_scrub(data,layout)
print(data_dict)
print(layout_dict)
#Applying stylings and settings generated from LLM
if layout_dict:
fig["layout"] = layout_dict
for key, value in data_dict.items():
if key not in ["x","y","type"]:
for data_item in fig["data"]:
data_item[key] = value
print(fig)
pio.write_html(fig, chart_path, full_html=False)
chart_url = f'{root_url}/gradio_api/file/temp/{session_hash}/{session_folder}/chart.html'
iframe = 'Please display this iframe: <div style=overflow:auto;><iframe\n scrolling="yes"\n width="1000px"\n height="500px"\n src="' + chart_url + '"\n frameborder="0"\n allowfullscreen\n></iframe>\n</div>'
return {"reply": iframe}
except Exception as e:
print("BAR CHART ERROR")
print(e)
reply = f"""There was an error generating the Plotly Bar Chart from {x_column}, {y_column}, {data}, and {layout}
The error is {e},
You should probably try again.
"""
return {"reply": reply}
def pie_chart_generation_func(values: str, names: str, session_hash, session_folder, data: List[dict]=[{}], layout: List[dict]=[{}], **kwargs):
try:
dir_path = TEMP_DIR / str(session_hash) / str(session_folder)
chart_path = f'{dir_path}/chart.html'
csv_query_path = f'{dir_path}/query.csv'
df = pd.read_csv(csv_query_path)
function_args = {"data_frame":df, "values":values, "names":names}
initial_graph = px.pie(**function_args)
fig = initial_graph.to_dict()
data_dict,layout_dict = llm_chart_data_scrub(data,layout)
print(data_dict)
print(layout_dict)
#Applying stylings and settings generated from LLM
if layout_dict:
fig["layout"] = layout_dict
for key, value in data_dict.items():
if key not in ["x","y","type"]:
for data_item in fig["data"]:
data_item[key] = value
print(fig)
pio.write_html(fig, chart_path, full_html=False)
chart_url = f'{root_url}/gradio_api/file/temp/{session_hash}/{session_folder}/chart.html'
iframe = 'Please display this iframe: <div style=overflow:auto;><iframe\n scrolling="yes"\n width="1000px"\n height="500px"\n src="' + chart_url + '"\n frameborder="0"\n allowfullscreen\n></iframe>\n</div>'
return {"reply": iframe}
except Exception as e:
print("PIE CHART ERROR")
print(e)
reply = f"""There was an error generating the Plotly Pie Chart from {values}, {names}, {data}, and {layout}
The error is {e},
You should probably try again.
"""
return {"reply": reply}
def histogram_generation_func(x_column: str, session_hash, session_folder, y_column: str="", data: List[dict]=[{}], layout: List[dict]=[{}], histnorm: str="", category: str="",
histfunc: str="", **kwargs):
try:
dir_path = TEMP_DIR / str(session_hash) / str(session_folder)
chart_path = f'{dir_path}/chart.html'
csv_query_path = f'{dir_path}/query.csv'
df = pd.read_csv(csv_query_path)
print(x_column)
function_args = {"data_frame":df, "x":x_column}
if y_column:
function_args["y"] = y_column
if histnorm:
function_args["histnorm"] = histnorm
if category:
function_args["color"] = category
if histfunc:
function_args["histfunc"] = histfunc
initial_graph = px.histogram(**function_args)
fig = initial_graph.to_dict()
data_dict,layout_dict = llm_chart_data_scrub(data,layout)
print(data_dict)
print(layout_dict)
#Applying stylings and settings generated from LLM
if layout_dict:
fig["layout"] = layout_dict
for key, value in data_dict.items():
if key not in ["x","y","type"]:
for data_item in fig["data"]:
data_item[key] = value
print(fig)
pio.write_html(fig, chart_path, full_html=False)
chart_url = f'{root_url}/gradio_api/file/temp/{session_hash}/{session_folder}/chart.html'
iframe = 'Please display this iframe: <div style=overflow:auto;><iframe\n scrolling="yes"\n width="1000px"\n height="500px"\n src="' + chart_url + '"\n frameborder="0"\n allowfullscreen\n></iframe>\n</div>'
return {"reply": iframe}
except Exception as e:
print("HISTOGRAM ERROR")
print(e)
reply = f"""There was an error generating the Plotly Histogram from {x_column}.
The error is {e},
You should probably try again.
"""
return {"reply": reply}
def table_generation_func(session_hash, session_folder, **kwargs):
print("TABLE GENERATION")
try:
dir_path = TEMP_DIR / str(session_hash) / str(session_folder)
csv_query_path = f'{dir_path}/query.csv'
table_path = f'{dir_path}/table.html'
df = pd.read_csv(csv_query_path)
html_table = df.to_html()
print(html_table[:1000])
with open(table_path, "w") as file:
file.write(html_table)
table_url = f'{root_url}/gradio_api/file/temp/{session_hash}/{session_folder}/table.html'
iframe = 'Please display this iframe: <div style=overflow:auto;><iframe\n scrolling="yes"\n width="1000px"\n height="500px"\n src="' + table_url + '"\n frameborder="0"\n allowfullscreen\n></iframe>\n</div>'
print(iframe)
return {"reply": iframe}
except Exception as e:
print("TABLE ERROR")
print(e)
reply = f"""There was an error generating the Pandas DataFrame table results.
The error is {e},
You should probably try again.
"""
return {"reply": reply}
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