def build_db(session):
mdf = Forge("mdf-test")
mdf.match_field("projects.nanomfg.catalyst", "*")
rslt = mdf.search()
def safe_get_recipe_value(recipe, property):
if property in recipe and recipe[property]:
return recipe[property]
else:
return None
for recipe in rslt:
r = MdfForge()
r.mdf_id = recipe["mdf"]["mdf_id"]
r.title = recipe["dc"]["titles"][0]["title"]
recipe_data = recipe["projects"]["nanomfg"]
r.base_pressure = recipe_data["base_pressure"]
r.carbon_source = recipe_data["carbon_source"]
r.catalyst = recipe_data["catalyst"]
r.grain_size = safe_get_recipe_value(recipe_data, "grain_size")
r.max_temperature = recipe_data["max_temperature"]
r.orientation = safe_get_recipe_value(recipe_data, "orientation")
r.sample_surface_area = safe_get_recipe_value(recipe_data,
"sample_surface_area")
r.sample_thickness = safe_get_recipe_value(recipe_data,
"sample_thickness")
session.add(r)
session.commit()
def __init__(self, anonymous=False, **kwargs):
"""
Args:
anonymous (bool): whether to use anonymous login (i. e. no
globus authentication)
**kwargs: kwargs for Forge, including index (globus search index
to search on), local_ep, anonymous
"""
self.forge = Forge(anonymous=anonymous, **kwargs)
# -*- coding: utf-8 -*-
"""
@Project : matminer
@Author : Xu-Shan Zhao
@Filename: mdfsearch202004252216.py
@IDE : PyCharm
@Time1 : 2020-04-25 22:16:41
@Time2 : 2020/4/25 10:16 下午
@Month1 : 4月
@Month2 : 四月
"""
from mdf_forge.forge import Forge
mdf = Forge()
res = mdf.search_by_elements(elements=['Fe', 'H', 'Zr'])
for i in res:
print(i['material']['composition'])
print(len(res))
print(res[0])
from mdf_forge.forge import Forge
# You don't have to use the name "mdf" but we do for consistency.
mdf = Forge("mdf-test")
def catalysts(datasets):
return set(
map(lambda dataset: dataset["projects"]["nanomfg"]["catalyst"],
datasets))
mdf.match_field("projects.nanomfg.catalyst", "*")
rslt = mdf.search()
print(len(rslt))
print("Unique catalysts: " + str(catalysts(rslt)))
mdf.match_range("projects.nanomfg.max_temperature", 0, 1000)
res = mdf.search()
print(len(res))
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import time
from mdf_forge.forge import Forge
# You don't have to use the name "mdf" but we do for consistency.
from gresq.util.mdf_adaptor import MDFAdaptor
source_id = '_test_nanohub_gresq_id_19_v1.1'
mdf = MDFAdaptor()
active = True
while active:
s = mdf.get_status(source_id, raw=True)
print(s)
active = s['status']['active']
if active:
time.sleep(10)
forge = Forge("mdf-test")
titles = forge.match_source_names(source_id).search()
# titles = forge.match_titles(['Graphene Synthesis Raman Analysis']).search()
for title in titles:
print(title)