diff --git a/src/axiomatic/axtract.py b/src/axiomatic/axtract.py
index 11c6d5b..c3f21b9 100644
--- a/src/axiomatic/axtract.py
+++ b/src/axiomatic/axtract.py
@@ -7,7 +7,6 @@
import re
from dataclasses import dataclass, asdict
-
@dataclass
class RequirementUserInput:
requirement_name: str
@@ -411,139 +410,6 @@ def save_requirements(_):
return result
-def display_results(equations_dict):
- """Display equation validation results in a clear, organized format."""
- results = equations_dict.get("results", {})
-
- # Helper function to convert Eq(LHS,RHS) to LHS=RHS format
- def format_equation(latex_eq):
- # Remove 'Eq(' from start and ')' from end
- inner = latex_eq[3:-1]
- # Split by comma and join with equals sign
- lhs, rhs = inner.split(',', 1)
- return f"{lhs} = {rhs}"
-
- # Split results into matching and non-matching equations
- matching = []
- non_matching = []
-
- for key, value in results.items():
- equation_data = {
- 'latex': format_equation(value.get('latex_equation')),
- 'lhs': value.get('lhs'),
- 'rhs': value.get('rhs'),
- 'diff': abs(value.get('lhs', 0) - value.get('rhs', 0)),
- 'percent_diff': abs(value.get('lhs', 0) - value.get('rhs', 0)) / max(abs(value.get('rhs', 0)), 1e-10) * 100
- }
- if value.get('match'):
- matching.append(equation_data)
- else:
- non_matching.append(equation_data)
-
- # Display summary header
- total = len(results)
- display(HTML(
- f'
Equation Validation Summary
'
- f'Total equations checked: {total}
'
- f'✅ Matching equations: {len(matching)}
'
- f'❌ Non-matching equations: {len(non_matching)}
'
- ))
-
- # Display non-matching equations first (if any)
- if non_matching:
- display(HTML(
- ''
- '
⚠️ Equations Not Satisfied:
'
- ))
-
- for eq in non_matching:
- display(Math(eq['latex']))
- display(HTML(
- f'
'
- f'Left side = {eq["lhs"]:.6g}
'
- f'Right side = {eq["rhs"]:.6g}
'
- f'Difference = {eq["diff"]:.6g}
'
- f'Percent difference = {eq["percent_diff"]:.2f}%'
- '
'
- ))
-
- display(HTML('
'))
-
- # Display matching equations (if any)
- if matching:
- display(HTML(
- ''
- '
✅ Satisfied Equations:
'
- ))
-
- for eq in matching:
- display(Math(eq['latex']))
- display(HTML(
- f'
'
- f'Value = {eq["lhs"]:.6g}'
- '
'
- ))
-
- display(HTML('
'))
-
-def get_eq_hypergraph(api_results, requirements, with_printing=True):
-
- list_api_requirements = [asdict(req) for req in requirements]
-
- # Disable external LaTeX rendering, using matplotlib's mathtext instead
- plt.rcParams["text.usetex"] = False
- plt.rcParams["mathtext.fontset"] = "stix"
- plt.rcParams["font.family"] = "serif"
-
- api_results = _add_used_vars_to_results(api_results, list_api_requirements)
-
- # Prepare the data for HyperNetX visualization
- hyperedges = {}
- for eq, details in api_results["results"].items():
- hyperedges[
- _get_latex_string_format(details["latex_equation"])] = details[
- "used_vars"
- ]
-
- # Create the hypergraph using HyperNetX
- H = hnx.Hypergraph(hyperedges)
-
- # Plot the hypergraph with enhanced clarity
- plt.figure(figsize=(16, 12))
-
- # Draw the hypergraph with node and edge labels
- hnx.draw(
- H,
- with_edge_labels=True,
- edge_labels_on_edge=False,
- node_labels_kwargs={"fontsize": 14},
- edge_labels_kwargs={"fontsize": 14},
- layout_kwargs={"seed": 42, "scale": 2.5},
- )
-
- node_labels = list(H.nodes)
- symbol_explanations = _get_node_names_for_node_lables(
- node_labels,
- list_api_requirements)
-
- # Adding the symbol explanations as a legend
- explanation_text = "\n".join(
- [f"${symbol}$: {desc}" for symbol, desc in symbol_explanations]
- )
- plt.annotate(
- explanation_text,
- xy=(1.05, 0.5),
- xycoords="axes fraction",
- fontsize=14,
- verticalalignment="center",
- )
- plt.title(r"Enhanced Hypergraph of Equations and Variables", fontsize=20)
- if with_printing:
- plt.show()
- return H
- else:
- return H
-
def _get_node_names_for_node_lables(node_labels, api_requirements):
@@ -741,4 +607,59 @@ def format_equation(latex_eq):
plt.title(r"Enhanced Hypergraph of Equations and Variables", fontsize=20)
plt.show()
- return None
\ No newline at end of file
+ return None
+
+
+def get_numerical_values(ax_client, path, constants_of_interest):
+ with open(path, "rb") as f:
+ file = f.read()
+
+ constants = ax_client.document.constants(file=file, constants=constants_of_interest).constants
+
+ # Create a dictionary to store processed values
+ processed_values = {}
+
+ # Process each constant name from the constants dictionary
+ for constant_name in constants:
+ value_str = constants[constant_name] # Get the value directly from the dictionary
+
+ if value_str is None:
+ # Handle None values
+ processed_values[constant_name] = {
+ "Value": 0.0,
+ "Units": "unknown"
+ }
+ elif 'F/' in value_str:
+ # Handle F-number values
+ f_number = float(value_str.split('/')[-1])
+ processed_values[constant_name] = {
+ "Value": f_number,
+ "Units": "dimensionless"
+ }
+ else:
+ # Handle normal values with units
+ # Split on the last space to separate value and unit
+ parts = value_str.rsplit(' ', 1)
+ if len(parts) == 2:
+ value, unit = parts
+ processed_values[constant_name] = {
+ "Value": float(value),
+ "Units": unit
+ }
+ else:
+ # If no unit is found
+ processed_values[constant_name] = {
+ "Value": float(parts[0]),
+ "Units": "unknown"
+ }
+
+ # Save as custom preset
+ filename = os.path.basename(path)
+ with open("./custom_presets.json", "r+") as f:
+ presets = json.load(f)
+ presets[filename] = processed_values
+ f.seek(0)
+ json.dump(presets, f, indent=2)
+ f.truncate()
+
+ return processed_values
\ No newline at end of file
diff --git a/test_axtract/demo_kevin.ipynb b/test_axtract/demo_kevin.ipynb
new file mode 100644
index 0000000..faef8ea
--- /dev/null
+++ b/test_axtract/demo_kevin.ipynb
@@ -0,0 +1,424 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from axiomatic import Axiomatic\n",
+ "from axiomatic import axtract\n",
+ "import numercial_values_manager\n",
+ "\n",
+ "ax_client = Axiomatic(timeout=1000, api_key=\"2d702671-4b31-4174-a88e-087a02e3c29a\")\n",
+ "data_files = ax_client.requirements.data_files.retrieve()\n",
+ "variables_dict = data_files['results']['variables']\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "9017141c83d743dcbfc7ae36ec5db675",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Dropdown(description='Select Option:', options=('Select a template', 'IMAGING TELESCOPE', 'IMAGING TELESCOPE t…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "db7f90caf16a4e2692a196b6f911f57f",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "VBox()"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "783edc61403546059999a92113be7512",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Output()"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "61824e666a7345878d80888fe5b384ba",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(Button(button_style='success', description='Submit', style=ButtonStyle()), Button(button_style=…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/opt/anaconda3/envs/axiomatic/lib/python3.13/site-packages/traitlets/traitlets.py:1385: DeprecationWarning: Passing unrecognized arguments to super(FloatText).__init__(placeholder='Value').\n",
+ "object.__init__() takes exactly one argument (the instance to initialize)\n",
+ "This is deprecated in traitlets 4.2.This error will be raised in a future release of traitlets.\n",
+ " warn(\n"
+ ]
+ }
+ ],
+ "source": [
+ "user_choice = axtract.interactive_table(variable_dict = variables_dict)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "parameter_names = list(user_choice['values'].keys())\n",
+ "path = 'zurbuchen2007.pdf'\n",
+ "processed_values = numercial_values_manager.get_numerical_values(ax_client, path, parameter_names)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "2d36908f715a424fba23ead0bbe90127",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Dropdown(description='Select Option:', options=('Select a template', 'IMAGING TELESCOPE', 'IMAGING TELESCOPE t…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "b5ee0a1dca464a3084dafc88f2deb91c",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "VBox()"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "bc0b305f13df4c6096de18731aaeeb7a",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Output()"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "c77ee24e51304e89956a19f90a7871d0",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(Button(button_style='success', description='Submit', style=ButtonStyle()), Button(button_style=…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "user_choice = axtract.interactive_table(variable_dict = variables_dict)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "requirements = axtract.requirements_from_table(user_choice, variables_dict)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "Equation Validation Analysis
Total equations analyzed: 5
✅ Matching equations: 2
❌ Non-matching equations: 3
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "⚠️ Equations Not Satisfied
"
+ ],
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/latex": [
+ "$\\displaystyle \\text{GSD}_p = (h_{alt}*p_p)/f$"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "Left side = 0.6
Right side = 1212.35
Absolute difference = 1211.75
Relative difference = 99.95%
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/latex": [
+ "$\\displaystyle \\text{Swath} = 2*h_{alt}*tan(\\text{HFOV})$"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "Left side = 0
Right side = 2044.76
Absolute difference = 2044.76
Relative difference = 100.00%
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/latex": [
+ "$\\displaystyle \\text{GSD}_{ms} = (h_{alt}*p_{ms})/f$"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "Left side = 0.9
Right side = 0.0018012
Absolute difference = 0.898199
Relative difference = 49866.56%
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "✅ Satisfied Equations
"
+ ],
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/latex": [
+ "$\\displaystyle r_p = 2*\\text{GSD}_p$"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "Value = 1.2
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/latex": [
+ "$\\displaystyle r_{ms} = 2*\\text{GSD}_{ms}$"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "Value = 1.8
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "🔍 Equation Relationship Analysis
The following graph shows how variables are connected through equations:
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "output = ax_client.requirements.check(request = requirements)\n",
+ "\n",
+ "#let's print the results\n",
+ "axtract.display_full_results(output['results'],requirements=requirements)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "axiomatic",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.13.0"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}