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Add ground_truth API and refactor

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This commit is contained in:
Andras Schmelczer 2022-06-19 17:15:52 +02:00
commit 421f9bb726
1 changed files with 409 additions and 211 deletions
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25
great_ai/src/great_ai/great_ai/deploy/routes/dashboard/create_dash_app.py
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@ -1,5 +1,5 @@
from math import ceil
from typing import Any, Dict, List, Tuple
from typing import Any, Dict, List, Sequence, Tuple
import pandas as pd
import plotly.express as px
@ -10,7 +10,7 @@ from flask import Flask
from great_ai.utilities.unique import unique
from ....constants import DASHBOARD_PATH
from ....constants import DASHBOARD_PATH, ONLINE_TAG_NAME
from ....context import get_context
from ....helper import snake_case_to_text, text_to_hex_color
from ....views import SortBy
@ -23,11 +23,10 @@ from .get_traces_table import get_traces_table
def create_dash_app(function_name: str, function_docs: str) -> Flask:
accent_color = text_to_hex_color(function_name)
flask_app = Flask(__name__)
app = Dash(
function_name,
requests_pathname_prefix=DASHBOARD_PATH + "/",
server=flask_app,
server=Flask(__name__),
title=snake_case_to_text(function_name),
update_title=None,
external_stylesheets=[
@ -129,6 +128,7 @@ def create_dash_app(function_name: str, function_docs: str) -> Flask:
elements, count = get_context().tracing_database.query(
skip=page_current * page_size,
take=page_size,
conjunctive_tags=[ONLINE_TAG_NAME],
conjunctive_filters=non_null_conjunctive_filters,
sort_by=sort_by,
)
@ -145,8 +145,10 @@ def create_dash_app(function_name: str, function_docs: str) -> Flask:
)
def update_layout(
n_intervals: int,
) -> Tuple[List[Dict[str, str]], Dict[str, Any]]:
elements, count = get_context().tracing_database.query(take=1)
) -> Tuple[List[Dict[str, Sequence[str]]], Dict[str, Any]]:
elements, count = get_context().tracing_database.query(
take=1, conjunctive_tags=[ONLINE_TAG_NAME]
)
if elements:
keys = list(elements[0].to_flat_dict().keys())
@ -185,11 +187,10 @@ def create_dash_app(function_name: str, function_docs: str) -> Flask:
non_null_conjunctive_filters = [f for f in conjunctive_filters if f is not None]
elements, count = get_context().tracing_database.query(
conjunctive_filters=non_null_conjunctive_filters
conjunctive_tags=[ONLINE_TAG_NAME],
conjunctive_filters=non_null_conjunctive_filters,
)
elements = [e.to_flat_dict() for e in elements]
if not elements:
return (
html.Span(
@ -200,8 +201,10 @@ def create_dash_app(function_name: str, function_docs: str) -> Flask:
{"display": "none"},
)
flat_elements = [e.to_flat_dict() for e in elements]
execution_time_histogram = dcc.Graph(config={"displaylogo": False})
df = pd.DataFrame(elements)
df = pd.DataFrame(flat_elements)
fig = px.histogram(
df,
x="original_execution_time_ms",
@ -230,7 +233,7 @@ def create_dash_app(function_name: str, function_docs: str) -> Flask:
)
return execution_time_histogram, parallel_coords_fig, {}
return flask_app
return app.server
def get_dimension_descriptor(df: pd.DataFrame, column: str) -> Dict[str, Any]: