API for the VxForms Material Database.
Project description
vxformsapi is a Python library to enable a high-level interaction with the VxForms Material's API without the need of the VXForms Materials's Website.
The project is being developed in association with University of Aveiro - Portugal, and it is currently mantained by the research grant team.
Installation
Dependencies
vxformsapi automatically installs the following dependencies:
- pandas
- requests
User Installation
pip install vxformsapi
Documentation
Authentication
Some methods will require the login_token argument to allow for permissions or uploads. There are 2 ways to obtain the token:
from vxformsapi.API import *
login_token = authenticate("username_value", "password_value")
# Uses hardcoded information.
# Not recommended if the script is associated with a repository for security reasons.
login_token_json = authenticate_from_json("json_filename.json")
# Recommended approach for security.
# Uses information provided in the json file that follows the following structure:
# {
# username: "username_value",
# password: "password_value"
# }
The login_token can now be used in any necessary method passing it as an argument.
Examples
Create Material
from vxformsapi.API import *
token = authenticate_from_json("secrets.json")
# Creating a material
thermal_expansion_coef = {
"20": 1.15,
"200": 1.27,
"300": 1.32
}
specific_heat_capacity = {
"20": 430,
"200": 499,
"300": 517
}
thermal_conductivity = {
"20": 34.9,
"200": 38,
"300": 37.8
}
tp = ThermalProperties(thermal_expansion_coef=thermal_expansion_coef, specific_heat_capacity=specific_heat_capacity,
thermal_conductivity=thermal_conductivity)
elastic_modulus = {
"-100": 217,
"20": 214,
"200": 202,
"300": 192
}
poissons_ratio = {
"20": 0.283,
"200": 0.292,
"300": 0.294
}
shear_modulus = {
"20": 82.8,
"200": 77.9,
"300": 74.9
}
yield_strength = {
"20": 280,
"200": 224,
"300": 221
}
mp = MechanicalProperties(tensile_strength=500, thermal_conductivity=46.8, reduction_of_area=41.4, cyclic_yield_strength=250,
elastic_modulus=elastic_modulus, poissons_ratio=poissons_ratio, shear_modulus=shear_modulus,
yield_strength=yield_strength)
chemical_composition = {
"C": 0.105,
"Si": 0.24,
"Mn": 0.43,
"P": 0.012,
"S": 0.014,
"Cr": 2.29,
"Mo": 1.004,
"Ni": 0.16,
"Cu": 0.9,
"Ti": 0.03,
"V": 0.02,
"Al": 0.02
}
pp = PhysicalProperties(chemical_composition=chemical_composition)
category = get_category_by_name("Alloy Steel")
material = Material(name="EN 10028-2 Grade 10CrMo9-10 normalized and tempered (+NT)", category=category,
source="Boller C, Seeger T. Materials data for cyclic loading, Part B. Amsterdam: Elsevier; 1987",
designation="DIN 10 CrMo 9 10", heat_treatment="Normalized & tempered, 950°C/30min air, 750°C/2h air",
thermal_properties=tp, mechanical_properties=mp, physical_properties=pp)
material.register(token)
# Fetching the stored materials
for material in get_materials():
print(material.id, material.name, material.submitted_by, material.date, material.user)
Create Test
from vxformsapi.API import *
token = authenticate_from_json("secrets.json")
# Creating a test
# ID of the material which the new test refers to
material = get_material(3)
# Test metadata
metadata = {
"param1": "Some value",
"param2": 10.4,
"param3": 5,
"xyz": 34.6
}
# No need to be the material owner
test = Test(material, "Test Name", metadata)
test.register(token)
# Fetch all tests
for test in get_tests():
print(test.id, test.name)
Upload DIC Files
from vxformsapi.API import *
import os
token = authenticate_from_json("secrets.json")
# Directory where the DIC files and load data are stored, consult the user manual for formatting and naming of the files
dir = "DIC_files\\"
# ID of the test we wish to populate
test_id = 3
f = []
for (dirpath, dirnames, filenames) in os.walk(dir):
f.extend(filenames)
break
file_mappings = {name : open(dir+name, "rb") for name in f}
test = get_test(test_id)
# Upload the data
test.upload_test_data(token, file_mappings, file_format=UploadFileFormat.MatchId, _3d=False)
# Download the data as a ZIP file
test.download_test_data()
# Download the data as a pandas dataframe
stages_df = test.load_test_data()
print(stages_df.keys())
print(stages_df[2])
Point Generation (with Numpy)
from vxformsapi.API import *
import numpy as np
token = authenticate_from_json("secret_login.json")
# Obtain the corresponding Material Parameter
material_param = get_material_param(15, token)
# Obtain the params
hardening_model_params = material_param.hardening_model_params
hardening_params = hardening_model_params.params # {'k': 979.46, 'eps0': 0.00535, 'swift_n': 0.194}. Can be edited to calculate the function with different values
hardening_function = hardening_model_params.model.function_name # Swift Hardening
# Get points to make operations
points = get_points(FunctionTypes.Hardening, hardening_function, hardening_params)
x = np.array(points["x"])
y = np.array(points["points"])
# ...
API Methods
Materials
get_materials: Retrieve a page of materials.
Parameters
----------
page (optional) : int
Page number
page_size (optional) : int
Number of materials per page
ordering (optional) : MaterialOrderings
Ordering of the material list (available orderings: id, date, name, upper/middle/lower_category)
ascending (optional) : bool
Defines ordering direction
search (optional) : str
Filters materials by inclusion of the specified string in the material name or description
get_material: Retrieve a material by id.
Parameters
----------
material_id : int
The id of the material to be fetched
register_material: Save a material to the database.
Parameters
----------
material : Material
The material to be saved (name must be unique)
login_token : str
The log-in token that can be retrieved from the authenticate function
Categories
get_categories: Retrieve all categories.
Parameters
----------
mode (optional) : CategoriesDisplayModes
Either return the categories in a tree-like object or return three lists for each type of category (upper, middle, lower)
get_category: Retrieve a category by id.
Parameters
----------
category_id : int
The id of the category to be fetched
level (optional) : CategoryLevel
The level of the category to be fetched (by default, lower)
get_category_by_name: Retrieve a category by name.
Parameters
----------
category_name : str
The name of the category to be fetched
level (optional) : CategoryLevel
The level of the category to be fetched (by default, lower)
register_category: Save a category to the database.
Parameters
----------
admin_token : str
The log-in token that can be retrieved from the authenticate function (must be admin)
category : Category
The category to be saved
Tests
register_test: Save a test to the database.
Parameters
----------
login_token : str
The log-in token that can be retrieved from the authenticate function
test : Test
The test to be saved (name must be unique within the material's tests)
get_tests: Retrieve a page of tests.
Parameters
----------
page (optional) : int
Page number
page_size (optional) : int
Number of tests per page
material (optional) : int
Filter by material (id)
submitted_by (optional) : int
Filter by user (id)
get_test: Retrieve a test by id.
Parameters
----------
test_id : int
The id of the test to be fetched
Models
get_model: Retrieve a model by id.
Parameters
----------
model_id : int
The id of the model to be fetched
register_model: Save a model to the database.
Parameters
----------
admin_token : str
The log-in token that can be retrieved from the authenticate function (must be admin)
model : Model
The model to be saved
ModelParams
get_model_param: Retrieve model parameters by id.
Parameters
----------
modelp_id : int
The id of the model parameters to be fetched
MaterialParams
register_material_param: Save a material parameter to the database.
Parameters
----------
login_token : str
The log-in token that can be retrieved from the authenticate function
materialp : MaterialParam
The material parameter to be saved
get_material_param: Retrieve material parameters by id.
Parameters
----------
materialp_id : int
The id of the material parameters to be fetched
InverseMethods
get_inverse_methods: Retrieve a page of inverse methods.
get_inverse_method: Retrieve an inverse method by id.
Parameters
----------
inverse_method_id : int
The id of the inverse method to be fetched
Points
get_points: Retrieve the points given by a function and its variables (params).
Parameters
----------
function_type : FunctionTypes
The type of the function (elastic, hardening, yield)
function : str
The name of the given function. Given by Model.function_name
params : dict
Dictionary of variables that the function use. The Model Params has the default values for each one, but they can be changed to use in this function
API Enums
MaterialOrderings(Id, Date, Name, UpperC, MiddleC, LowerC)CategoriesDisplayModes(Tree, List)CategoryLevel(Upper, Middle, Lower)UploadFileFormat(MatchId, Aramis)FunctionTypes(Elastic, Hardening, Yield)
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