first commit

milestone_attribution_graph_library_module/milestone_attribution_graph_library_module.egg-info/PKG-INFO

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+Metadata-Version: 2.4
+Name: milestone_attribution_graph_library_module
+Version: 0.1.0
+Summary: Internal PASBDC graph making scripts used to generate figures for the milestone attribution analysis.

milestone_attribution_graph_library_module/milestone_attribution_graph_library_module.egg-info/SOURCES.txt

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+pyproject.toml
+milestone_attribution_graph_library_module/__init__.py
+milestone_attribution_graph_library_module/milestone_graph_analysis.py
+milestone_attribution_graph_library_module.egg-info/PKG-INFO
+milestone_attribution_graph_library_module.egg-info/SOURCES.txt
+milestone_attribution_graph_library_module.egg-info/dependency_links.txt
+milestone_attribution_graph_library_module.egg-info/top_level.txt

milestone_attribution_graph_library_module/milestone_attribution_graph_library_module.egg-info/dependency_links.txt

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+

milestone_attribution_graph_library_module/milestone_attribution_graph_library_module.egg-info/top_level.txt

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+milestone_attribution_graph_library_module

milestone_attribution_graph_library_module/milestone_attribution_graph_library_module/__init__.py

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+from .milestone_graph_analysis import make_attribution_pie, make_attribution_grouped_chart
+
+__all__ = [
+    'make_attribution_pie',
+    'make_attribution_grouped_chart'
+]
+

milestone_attribution_graph_library_module/milestone_attribution_graph_library_module/milestone_graph_analysis.py

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+import plotly.express as px
+import os
+import pandas as pd
+from typing import Dict, List
+from constants_module import NEOSERRA_COLUMNS, OUT_COLUMNS
+
+def make_attribution_pie(
+        milestone_data:pd.DataFrame,
+        title:str,
+        date_note:str,
+        col_documentation_level:str=OUT_COLUMNS.milestone_documentation_level,
+        level_colors:Dict[str, str]={
+            "Not Documented":"#f33e3e",
+            "Affirmation Missing":"#f3b83e",
+            "Documented":"#79be54",
+
+        }
+):
+    fig = px.pie(
+        milestone_data,
+        title=f"<span style='font-size:12px;'>{title}</span>",
+        names=col_documentation_level,
+        color=col_documentation_level,
+        color_discrete_map=level_colors
+    )
+
+    fig.update_layout(
+        legend=dict(
+            orientation="h",    # 'h' for horizontal
+            yanchor="top",      # Anchor the top of the legend box
+            y=-0.05,            # slightly below the chart
+            xanchor="center",   # Center the legend horizontally
+            x=0.5
+        ),
+        margin=dict(t=50, b=120, l=50, r=50)
+    )
+
+    fig.add_annotation(
+        text=f"Analysis includes {milestone_data.shape[0]} milestones based on the Center's scorecard data as of {date_note}",
+        xref="paper", yref="paper",
+        x=0.5,
+        y=-0.24,
+        showarrow=False,
+        font=dict(size=12, color="gray")
+    )
+
+    return fig
+'''
+blank
+director confirmed (i saw gannon still had this) - should be red by default
+requested on ecenter
+ecenter
+quarterly impact survey
+I&O form
+email from client
+other
+'''
+def make_attribution_grouped_chart(
+        milestone_data:pd.DataFrame,
+        title:str,
+        xaxis_order:List[str]=[
+            "Blank",
+            "Director Confirmed through Session Note Review",
+            "Requested on eCenter",
+            "Email from Client, Requested on eCenter",
+            "eCenter, Requested on eCenter",
+            "eCenter",
+            "Quarterly Assesment Survey",
+            "Impact & Outcomes Form",
+            "Email from Client",
+            "Email from Client, Impact & Outcomes Form",
+        ],
+        col_documentation_level:str=OUT_COLUMNS.milestone_documentation_level,
+        col_attribution_source:str=NEOSERRA_COLUMNS.milestone_attribution_source,
+        level_colors:Dict[str, str]={
+            "Not Documented":"#f33e3e",
+            "Affirmation Missing":"#f3b83e",
+            "Documented":"#79be54",
+        },
+):
+    # Aggregate data for px.bar to ensure trace.y is populated for synchronization
+    counts = milestone_data.groupby([col_attribution_source, col_documentation_level], dropna=False).size().reset_index(name='count')
+
+    fig = px.bar(counts,
+                 x=col_attribution_source,
+                 y='count',
+                 color=col_documentation_level,
+                 barmode='group',
+                 text_auto=True,
+                 color_discrete_map=level_colors,
+                 title=title,
+                 width=2000,
+                 height=1200
+                 )
+
+    fig.update_layout(
+        legend=dict(
+            orientation="h",
+            yanchor="top",
+            y=1.05,
+            xanchor="left",
+            x=-0.15
+        ),
+        margin=dict(t=50, b=50, l=10, r=0),
+        yaxis_title='Number of Milestones'
+    )
+
+    existing_source = [s for s in xaxis_order if s in milestone_data[col_attribution_source].unique()]
+    fig.update_xaxes(categoryorder='array',
+                     categoryarray=existing_source)
+
+    return fig

milestone_attribution_graph_library_module/pyproject.toml

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+# graph_generation/pyproject.toml
+[build-system]
+requires = ["setuptools", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "milestone_attribution_graph_library_module"
+version = "0.1.0"
+description = "Internal PASBDC graph making scripts used to generate figures for the milestone attribution analysis."
+
+[tool.setuptools]
+packages = ["milestone_attribution_graph_library_module"]