def find_restricted_data(unstructure_df, all_details_json, spec_list, std_df):
try:
gadsl_flag = "No"
cal_prop_flag = "No"
restricted_df = unstructure_df[unstructure_df["CATEGORY"].isin(
["CAL-PROP", "GADSL"])]
for index, row in restricted_df.iterrows():
category = row["CATEGORY"]
if category == "GADSL" and gadsl_flag == 'No':
cas = row["PRODUCT"]
result_spec = row["SPEC_ID"]
spec_id = helper.finding_spec_details(spec_list, result_spec)
product_type = row["PRODUCT_TYPE"]
std_wg, componant_type = helper.find_std_weight(
cas, product_type, spec_id, std_df)
if std_wg != '':
gadsl_flag = "Yes"
if gadsl_flag == "Yes" and cal_prop_flag == "Yes":
break
elif category == "CAL-PROP" and cal_prop_flag == 'No':
cas = row["PRODUCT"]
result_spec = row["SPEC_ID"]
spec_id = helper.finding_spec_details(spec_list, result_spec)
product_type = row["PRODUCT_TYPE"]
std_wg, componant_type = helper.find_std_weight(
cas, product_type, spec_id, std_df)
if std_wg != '':
cal_prop_flag = "Yes"
if gadsl_flag == "Yes" and cal_prop_flag == "Yes":
break
if gadsl_flag == "Yes" and cal_prop_flag == "Yes":
break
if cal_prop_flag == "No":
generic_cas_info_list = helper.get_generic_cas_details(
all_details_json)
for item in generic_cas_info_list:
cas_no = item.get("cas_no", config.hypen_delimiter)
generic_spec_list = [
element for element in all_details_json if cas_no in
all_details_json.get(element).get("cas_number")
]
spec_str = (config.pipe_delimitter).join(generic_spec_list)
std_wg, componant_type = helper.find_std_weight(
cas_no, "NUMCAS", spec_str, std_df)
if std_wg != '':
cal_prop_flag = "Yes"
break
except Exception as e:
pass
return gadsl_flag, cal_prop_flag
def get_customer_communication_details(req_body):
try:
all_details_json,spec_list,material_list = helper.construct_common_level_json(req_body)
sub_category=req_body.get("Category_details").get("Subcategory")
json_list=[]
if sub_category in config.customer_communication_category:
category=config.customer_communication_category.get(sub_category)
communication_query=helper.unstructure_template(all_details_json,category)
params={"fl":config.unstructure_column_str}
unstructure_values,unstructure_df=helper.get_data_from_core(config.solr_unstructure_data,communication_query,params)
if len(unstructure_values)>0:
count=0
for item in unstructure_values:
try:
json_make={}
datastr={}
datastr=json.loads(item.get("DATA_EXTRACT",{}))
result_spec=item.get("SPEC_ID")
product=item.get("PRODUCT",config.hypen_delimiter)
product_type=item.get("PRODUCT_TYPE",config.hypen_delimiter)
spec_id=helper.finding_spec_details(spec_list,result_spec)
if (sub_category in ["US FDA Letter","EU Food Contact"]):
path=str(datastr.get("file_path",config.hypen_delimiter)).strip()
if (path.lower().endswith("pdf")):
file_split=path.split("/")
file_source=''
for source in config.file_sources:
if source in file_split:
file_source=source
break
count+=1
extract_field={}
for efield in datastr:
if efield not in config.otherfields:
extract_field[efield]=datastr.get(efield,config.hypen_delimiter)
json_make["Extract_Field"]=extract_field
filename=datastr.get("file_name",config.hypen_delimiter)
date=datastr.get("Date",config.hypen_delimiter)
json_make["spec_Id"]=spec_id
json_make["fileName"]=filename
json_make["file_Source"]=file_source
json_make["product_Type"]=product_type
json_make["productName"]=product
json_make["id"]=count
json_make["createdDate"]=date
path=helper.replace_char_in_url(path)
json_make["url"]=(config.blob_file_path)+path.replace("/dbfs/mnt/","")+(config.sas_token)
json_list.append(json_make)
elif sub_category=="Heavy Metals content":
datastr=json.loads(datastr)
path=datastr.get("file_path","")
file_split=path.split("/")
file_source=''
for source in config.file_sources:
if source in file_split:
file_source=source
break
json_make["spec_Id"]=spec_id
json_make["file_Source"]=file_source
json_make["product"]=product
json_make["product_Type"]=product_type
json_make["aka"]=remove_nan(datastr.get("AKA",config.hypen_delimiter))
json_make["batch"]=remove_nan(datastr.get("Batch #",config.hypen_delimiter))
json_make["sample"]=remove_nan(datastr.get("Sample #",config.hypen_delimiter))
json_make["system"]=remove_nan(datastr.get("System",config.hypen_delimiter))
json_make["date"]=remove_nan(datastr.get("Date",config.hypen_delimiter))
json_make["aluminium_Al"]=remove_nan(datastr.get("Aluminum (Al)",config.hypen_delimiter))
json_make["antimony_Sb"]=remove_nan(datastr.get("Antimony (Sb)",config.hypen_delimiter))
json_make["arsenic_As"]=remove_nan(datastr.get("Arsenic (As)",config.hypen_delimiter))
json_make["barium_Ba"]=remove_nan(datastr.get("Barium (Ba)",config.hypen_delimiter))
json_make["beryllium_Be"]=remove_nan(datastr.get("Beryllium (Be)",config.hypen_delimiter))
json_make["boron_B"]=remove_nan(datastr.get("Boron (B)",config.hypen_delimiter))
json_make["cadmium_Cd"]=remove_nan(datastr.get("Cadmium (Cd)",config.hypen_delimiter))
json_make["calcium_Ca"]=remove_nan(datastr.get("Calcium (Ca)",config.hypen_delimiter))
json_make["carbon"]=remove_nan(datastr.get("Carbon",config.hypen_delimiter))
json_list.append(json_make)
except Exception as e:
pass
# elif sub_category=="Communication History" and ("case_Number" not in req_body) and ("selected_level" in req_body):
elif sub_category=="Communication History" and ("case_Number" not in req_body):
logging.info(f'communication req body {req_body}')
sfdc_query=helper.sfdc_template(all_details_json)
params={"fl":config.sfdc_column_str}
sfdc_values,sfdc_df=helper.get_data_from_core(config.solr_sfdc,sfdc_query,params)
if len(sfdc_values)>0 and ("CASENUMBER" in list(sfdc_df.columns)):
if len(sfdc_df.columns)!=len(config.sfdc_column):
dummy=pd.DataFrame([],columns=config.sfdc_column)
sfdc_df=pd.concat([sfdc_df,dummy])
case_df=sfdc_df[config.sfdc_case_call]
case_df.drop_duplicates(inplace=True)
case_df=case_df.fillna(config.hypen_delimiter)
case_df=case_df.replace({"NULL":"-"})
for index, row in case_df.iterrows():
json_make={}
json_make["case_Number"]=row["CASENUMBER"]
json_make["manufacturing_Plant"]=row["MANUFACTURINGPLANT"]
json_make["customer_Name"]=row["ACCOUNTNAME"]
json_make["key"]=row["MATCHEDPRODUCTVALUE"]
json_make["product_Type"]=row["MATCHEDPRODUCTCATEGORY"]
json_make["topic"]=row["REASON"]
json_make["tier_2_Owner"]=row["SOP_TIER_2_OWNER__C"]
json_make["bu"]=row["BU"]
json_list.append(json_make)
elif sub_category=="Communication History" and ("case_Number" in req_body):
selected_case=req_body.get("case_Number")
sfdc_query=helper.sfdc_template(all_details_json)
sfdc_query = f'(CASENUMBER:{selected_case}) && '+sfdc_query
params={"fl":config.sfdc_email_call}
sfdc_values,sfdc_df=helper.get_data_from_core(config.solr_sfdc,sfdc_query,params)
for item in sfdc_values:
json_make={}
if item.get("CONTACTEMAIL",config.hypen_delimiter)!="NULL":
json_make["contact_Email"]=item.get("CONTACTEMAIL",config.hypen_delimiter)
else:
json_make["contact_Email"]=config.hypen_delimiter
json_make["email_Content"]=item.get("EMAILBODY",config.hypen_delimiter)
json_make["email_Subject"]=item.get("EMAILSUBJECT","")
attachment=str(item.get("EMAILATTACHMENT",""))
attachment_split=attachment.split("|:|")
add_doc=[]
for att in attachment_split:
if att!="NULL" and att!='' and att!="Not Found":
path=att.split("/")
filename=(att[1:])
# filename=(att[1:]).replace("?","%3F")
filename=helper.replace_char_in_url(filename)
file=(config.blob_file_path)+filename+(config.sas_token)
add_doc.append({"name":path[-1],"url":file})
json_make["attached_Docs"]=add_doc
json_list.append(json_make)
return json_list
except Exception as e:
return json_list
def get_toxicology_details(req_body):
try:
sub_category = req_body.get("Category_details").get("Subcategory")
json_list = []
if sub_category in config.toxicology_category:
all_details_json, spec_list, material_list = helper.construct_common_level_json(
req_body)
std, std_df, legal, legal_df = helper.make_common_query_for_std_legal_composition(
all_details_json)
category = config.toxicology_dict.get(sub_category)
toxicology_query = helper.unstructure_template(
all_details_json, category)
params = {"fl": config.unstructure_column_str}
unstructure_values, unstructure_df = helper.get_data_from_core(
config.solr_unstructure_data, toxicology_query, params)
selant = []
silanes = []
tox_study = []
if len(unstructure_values) > 0:
for item in unstructure_values:
try:
json_make = {}
result_spec = item.get("SPEC_ID")
ontology_value = item.get("ONTOLOGY_VALUE", "")
spec_id = helper.finding_spec_details(
spec_list, result_spec)
product = item.get("PRODUCT", config.hypen_delimiter)
product_type = item.get("PRODUCT_TYPE",
config.hypen_delimiter)
extract_data = item.get("DATA_EXTRACT", "")
import json
datastr = json.loads(extract_data)
category = item.get("CATEGORY", "")
file_path = datastr.get("file_path",
config.hypen_delimiter)
file_path = helper.replace_char_in_url(file_path)
file_split = file_path.split("/")
file_source = ''
for source in config.file_sources:
if source in file_split:
file_source = source
break
std_find = []
legal_find = []
std_flag = "No"
legal_flag = "No"
json_make["product_Name"] = product
json_make["product_Type"] = product_type
json_make["file_Source"] = file_source
json_make["ontology_value"] = ontology_value
json_make["spec_Id"] = spec_id
if sub_category == "Study Title and Date":
#checking std and legal compositon condition
if product_type in ["NUMCAS"]:
specid_list = spec_id.split(
config.pipe_delimitter)
if "CAS" in list(
std_df.columns) and "SUBID" in list(
std_df.columns):
std_find = std_df[
(std_df["CAS"] == product)
& (std_df["SUBID"].isin(specid_list))]
elif "CAS" in list(
legal_df.columns) and "SUBID" in list(
legal_df.columns):
legal_find = legal_df[
(legal_df["CAS"] == product) &
(legal_df["SUBID"].isin(specid_list))]
if len(std_find) == 0 and len(legal_find) == 0:
continue
else:
if len(std_find) > 0:
std_flag = "Yes"
if len(legal_find) > 0:
legal_flag = "Yes"
json_make["standardComposition"] = std_flag
json_make["legalComposition"] = legal_flag
json_make["test_Description"] = ""
json_make["filename"] = datastr.get(
"file_name", config.hypen_delimiter)
if file_path != '':
path = config.blob_file_path + file_path.replace(
"/dbfs/mnt/", "") + config.sas_token
else:
path = ''
json_make["file_Path"] = path
extract_field = {}
extract_field["study_Title"] = datastr.get(
"Study Title", config.hypen_delimiter)
extract_field["final_Report"] = datastr.get(
"Issue Date", config.hypen_delimiter)
json_make["extract_Field"] = extract_field
json_list.append(json_make)
elif sub_category == "Monthly Toxicology Study List":
json_make["product_Commercial_Name"] = product
json_make["date"] = datastr.get(
"date", config.hypen_delimiter)
if category == "tox_study_silanes":
studies = datastr.get("Studies",
config.hypen_delimiter)
status = datastr.get("Status",
config.hypen_delimiter)
comments = datastr.get("Comments",
config.hypen_delimiter)
if studies != None or status != None or comments != None:
json_make["studies"] = studies
json_make["status"] = status
json_make["comments"] = comments
json_make["test"] = config.hypen_delimiter
json_make[
"actions"] = config.hypen_delimiter
json_make["segment"] = "Silanes"
else:
continue
elif category == "tox_study_selant":
json_make["test"] = datastr.get(
"Test", config.hypen_delimiter)
json_make["actions"] = datastr.get(
"Actions", config.hypen_delimiter)
json_make["studies"] = config.hypen_delimiter
json_make["status"] = config.hypen_delimiter
json_make["comments"] = config.hypen_delimiter
json_make["segment"] = "Sealant"
json_list.append(json_make)
elif sub_category == "Toxicology Summary":
if product_type in ["NUMCAS"]:
specid_list = spec_id.split(
config.pipe_delimitter)
if "CAS" in list(
std_df.columns) and "SUBID" in list(
std_df.columns):
std_find = std_df[
(std_df["CAS"] == product)
& (std_df["SUBID"].isin(specid_list))]
if len(std_find) == 0:
continue
else:
if len(std_find) > 0 and "CVALU" in list(
std_find.columns):
std_cvalue = std_find[[
"CVALU", "CUNIT"
]]
std_cvalu_list = std_cvalue.values.tolist(
)
for value, unit in std_cvalu_list:
cal_value = helper.calculate_ppm_ppb(
value, unit)
if cal_value > 30:
std_flag = "Yes"
json_make[
"standardComposition"] = std_flag
json_make[
"compositionValue"] = value
json_make[
"compositionUnit"] = unit
if std_flag != 'Yes':
continue
json_make["date_Of_Issue"] = datastr.get(
"Date", config.hypen_delimiter)
path = config.blob_file_path + file_path.replace(
"/dbfs/mnt/", "") + config.sas_token
json_make["filename"] = datastr.get(
"file_name", config.hypen_delimiter)
json_make["file_Path"] = path
json_list.append(json_make)
except Exception as e:
pass
if sub_category == "Monthly Toxicology Study List":
monthly_studies = {}
if len(json_list) > 0:
json_list = sort_date(json_list)
elif sub_category == "Toxicology Registration Tracker":
if ("tonnage_band") not in req_body and (
"product" not in req_body) and ("country" not in req_body):
product_list = []
tonnage_band_list = []
country_list = []
product_list = get_product_list()
country_list = get_country_list()
tonnage_band_list = get_tonnage_band_list()
json = {
"product": product_list,
"country": country_list,
"tonnage_band": tonnage_band_list
}
json_list.append(json)
else:
tonnage_band_limit = req_body.get("tonnage_band", "ALL")
product_name = req_body.get("product").get("name", "")
country = req_body.get("country", [])
tracker_query = config.registration_tracker_query.format(
tonnage_band_limit, product_name)
group_test_query = config.select_query.format(
config.view_connector, config.group_test_view_name)
#get data from sql
tracker_sql_df, tracker_sql_list = helper.get_data_from_sql_table(
tracker_query, "yes")
group_test_df, group_test_list = helper.get_data_from_sql_table(
group_test_query, "yes")
if len(tracker_sql_df) > 0:
# country_cost=get_country_subtotal(tracker_sql_df)
#find total cost
if len(country) > 0 and country[0] != "ALL":
tracker_sql_df["CountryName"] = tracker_sql_df[
"CountryName"].str.strip()
tracker_sql_df = tracker_sql_df[
tracker_sql_df["CountryName"].isin(country)]
if "EstimatedCost" in tracker_sql_df.columns and "Completed" in tracker_sql_df.columns:
cost_df = tracker_sql_df[
tracker_sql_df["Completed"].str.contains(
"no", case=False)]
total_cost = cost_df["EstimatedCost"].sum()
else:
total_cost = 0
study_type_cost = get_study_type_subtotal(tracker_sql_df)
total_estimated_time = get_estimated_time(
tracker_sql_df, group_test_df)
registartion_tracker_list = get_json_format_data(
tracker_sql_list, country)
json_make = {
"total_Cost":
str(helper.set_two_decimal_points(total_cost)),
"study_Type_Cost":
study_type_cost,
"total_Estimated_Time":
str(helper.set_two_decimal_points(
total_estimated_time)),
"registartion_Data":
registartion_tracker_list
}
json_list.append(json_make)
def get_restricted_data_details(req_body):
try:
logging.info("restricted_substance request" + f'{req_body}')
all_details_json, spec_list, material_list = helper.construct_common_level_json(
req_body)
std, std_df, legal, legal_df = helper.make_common_query_for_std_legal_composition(
all_details_json)
sub_category = req_body.get("Category_details").get("Subcategory")
category = config.restricted_dict.get(sub_category)
restricted_substance_query = helper.unstructure_template(
all_details_json, [category])
params = {"fl": config.unstructure_column_str}
unstructure_values, unstructure_df = helper.get_data_from_core(
config.solr_unstructure_data, restricted_substance_query, params)
restricted_details = []
if len(unstructure_values) > 0:
if sub_category == "GADSL":
for item in unstructure_values:
gadsl_cas = item.get("PRODUCT", "")
result_spec = item.get("SPEC_ID")
spec_id = helper.finding_spec_details(
spec_list, result_spec)
product_type = item.get("PRODUCT_TYPE",
config.hypen_delimiter)
std_wg, componant_type = helper.find_std_weight(
gadsl_cas, product_type, spec_id, std_df)
if std_wg == '':
continue
data = json.loads(item.get("DATA_EXTRACT"))
gadsl_json = {
"substance":
str(data.get("Substance", config.hypen_delimiter)),
"cas_NO":
gadsl_cas,
"class_action":
"",
"reason_Code":
str(data.get("Reason Code", config.hypen_delimiter)),
"source":
str(
data.get(
"Source (Legal requirements, regulations)",
config.hypen_delimiter)),
"reporting_threshold":
str(
data.get(
"Reporting threshold (0.1% unless otherwise stated)",
config.hypen_delimiter)),
"weight_Composition":
std_wg,
"spec_Id":
spec_id
}
restricted_details.append(gadsl_json)
del gadsl_json
if sub_category == "CALPROP":
for item in unstructure_values:
try:
calprop_cas = item.get("PRODUCT", "")
result_spec = item.get("SPEC_ID")
spec_id = helper.finding_spec_details(
spec_list, result_spec)
product_type = item.get("PRODUCT_TYPE",
config.hypen_delimiter)
std_wg, componant_type = helper.find_std_weight(
calprop_cas, product_type, spec_id, std_df)
if std_wg == '':
continue
data = json.loads(item.get("DATA_EXTRACT"))
calprop_json = {
"chemical":
str(data.get("Chemical", config.hypen_delimiter)),
"type_Toxicity":
str(
data.get("Type of Toxicity",
config.hypen_delimiter)),
"listing_Mechanism":
str(
data.get("Listing Mechanism",
config.hypen_delimiter)),
"cas_NO":
calprop_cas,
"date_Listed":
str(data.get("Date Listed", config.hypen_delimiter)),
"NSRL_Data":
str(
data.get("NSRL or MADL (æg/day)a",
config.hypen_delimiter)),
"weight_Composition":
std_wg,
"componant_Type":
componant_type,
"spec_Id":
spec_id
}
restricted_details.append(calprop_json)
del calprop_json
except Exception as e:
del calprop_json
#find CAS details in generic json
generic_cas_info_list = helper.get_generic_cas_details(
all_details_json)
for item in generic_cas_info_list:
try:
cas_no = item.get("cas_no", config.hypen_delimiter)
generic_spec_list = [
element for element in all_details_json if cas_no in
all_details_json.get(element).get("cas_number")
]
spec_str = (config.pipe_delimitter).join(generic_spec_list)
std_wg, componant_type = helper.find_std_weight(
cas_no, "NUMCAS", spec_str, std_df)
if std_wg == '':
continue
calprop_json = {
"chemical":
str(item.get("chemical_name", config.hypen_delimiter)),
"type_Toxicity":
str(item.get("toxicity_type", config.hypen_delimiter)),
"listing_Mechanism":
str(
item.get("listing_mechanism",
config.hypen_delimiter)),
"cas_NO":
cas_no,
"date_Listed":
str(item.get("date_listed", config.hypen_delimiter)),
"NSRL_Data":
str(item.get("NSRL_MADL", config.hypen_delimiter)),
"weight_Composition":
std_wg,
"componant_Type":
componant_type,
"spec_Id":
spec_str
}
restricted_details.append(calprop_json)
del calprop_json
except Exception as e:
del calprop_json
return restricted_details
except Exception as e:
return []
def get_sales_data_details(req_body):
try:
logging.info("sales info request" + f'{req_body}')
print(req_body)
category = ["SAP-BW"]
material_level_data = req_body.get("Mat_Level")
all_details_json, spec_list, material_list = helper.construct_common_level_json(
req_body)
ret = helper.make_common_query_for_std_legal_composition(
all_details_json)
sale_info_query = helper.unstructure_template(all_details_json,
category)
params = {"fl": config.unstructure_column_str}
result, result_df = helper.get_data_from_core(solr_unstructure_data,
sale_info_query, params)
sales_list = []
sales_kg = 0
sales_org = []
region = []
material_flag = ''
for mat_id in material_list:
total_2017 = 0
total_2018 = 0
total_2019 = 0
total_2020 = 0
try:
for data in result:
try:
material_number = data.get("PRODUCT", "")
if material_number == mat_id:
material_flag = 's'
result_spec = data.get("SPEC_ID", "")
spec_id = helper.finding_spec_details(
spec_list, result_spec)
data_extract = json.loads(
data.get("DATA_EXTRACT", {}))
sales_org_str = data_extract.get(
"Sales Organization", "")
if sales_org != None:
sales_org.append(sales_org_str)
sales_kg_str = data_extract.get("SALES KG", 0)
if sales_kg_str != None:
sales_kg = sales_kg + float(sales_kg_str)
sold_str = data_extract.get(
"Sold-to Customer Country", "")
if sold_str != None:
region.append(sold_str)
year_split = str(
data_extract.get("Fiscal year/period",
"-")).split(".")
if len(year_split) > 1:
year = year_split[1]
if year == "2017":
total_2017 = total_2017 + float(
sales_kg_str)
elif year == "2018":
total_2018 = total_2018 + float(
sales_kg_str)
elif year == "2019":
total_2019 = total_2019 + float(
sales_kg_str)
elif year == "2020":
total_2020 = total_2020 + float(
sales_kg_str)
except Exception as e:
pass
# material_number=data.get("PRODUCT","")
if material_flag == 's':
desc = []
bdt = []
for item in material_level_data:
try:
if item.get("material_Number") == mat_id:
desc.append(item.get("description", ""))
bdt.append(item.get("bdt", ""))
except Exception as e:
pass
if sales_kg != 0:
sales_kg = helper.set_decimal_points(sales_kg)
if total_2017 != 0:
total_2017 = helper.set_decimal_points(total_2017)
if total_2018 != 0:
total_2018 = helper.set_decimal_points(total_2018)
if total_2019 != 0:
total_2019 = helper.set_decimal_points(total_2019)
if total_2020 != 0:
total_2020 = helper.set_decimal_points(total_2020)
sales_json = {
"material_number":
mat_id,
"material_description":
(config.comma_delimiter).join(list(set(desc))),
"basic_data":
(config.comma_delimiter).join(list(set(bdt))),
"sales_Org":
(config.comma_delimiter).join(list(set(sales_org))),
"past_Sales":
str(sales_kg),
"spec_id":
spec_id,
"region_sold":
(config.comma_delimiter).join(list(set(region))),
"total_sale_2017":
str(total_2017),
"total_sale_2018":
str(total_2018),
"total_sale_2019":
str(total_2019),
"total_sale_2020":
str(total_2020)
}
sales_list.append(sales_json)
sales_json = {}
material_flag = ''
sales_kg = 0
sales_org = []
region = []
except Exception as e:
pass
result_data = {"saleDataProducts": sales_list}
return [result_data]
except Exception as e:
pass
return []
def get_product_compliance_details(req_body):
try:
logging.info("product compliance request" + f'{req_body}')
# compliance_details=[]
result = []
notification_details = []
all_details_json, spec_list, material_list = helper.construct_common_level_json(
req_body)
sub_category = req_body.get("Category_details").get("Subcategory")
if sub_category == "Notification Status":
notify = {}
spec_query = (config.or_delimiter).join(spec_list)
query = f'SUBID:({spec_query})'
params = {"fl": config.notification_column_str}
pcomp, pcomp_df = helper.get_data_from_core(
config.solr_notification_status, query, params)
if ("NOTIF" in list(pcomp_df.columns)) and len(pcomp) > 0:
phrase_key = (list(pcomp_df["NOTIF"].unique()))
if ("ADDIN" in list(pcomp_df.columns)):
phrase_key = phrase_key + (list(
pcomp_df["ADDIN"].unique()))
phrase_split = ";".join(phrase_key)
phrase_key = phrase_split.split(";")
phrase_key_query = helper.replace_character_for_querying(
phrase_key)
query = f'PHRKY:({phrase_key_query})'
params = {"fl": config.phrase_column_str}
key_value, key_value_df = helper.get_data_from_core(
config.solr_phrase_translation, query, params)
for item in pcomp:
try:
notify = {}
notify["regulatory_List"] = str(
item.get("RLIST", config.hypen_delimiter)).strip()
ntfy_rg_value = str(item.get("NOTIF", "")).strip()
ntfy_rg = ntfy_rg_value.split(";")
notify_value = [(config.hypen_delimiter)]
if ("PTEXT" in list(
key_value_df.columns)) and ("PHRKY" in list(
key_value_df.columns)):
ptext_df = key_value_df[key_value_df["PHRKY"].isin(
ntfy_rg)]
notify_value = list(ptext_df["PTEXT"])
notify["regulatory_Basis"] = "-"
notify["notification"] = (
config.comma_delimiter).join(notify_value)
#add phrse text
add_value = str(item.get("ADDIN", "")).strip()
add_rg = add_value.split(";")
add_list = [(config.hypen_delimiter)]
if ("PTEXT" in list(
key_value_df.columns)) and ("PHRKY" in list(
key_value_df.columns)):
add_df = key_value_df[key_value_df["PHRKY"].isin(
add_rg)]
add_list = list(add_df["PTEXT"])
notify["additional_Info"] = (
config.comma_delimiter).join(add_list)
notify["usage"] = str(item.get("ZUSAGE", "-")).strip()
#find spec_id
subid = item.get("SUBID", "-")
if (all_details_json.get(subid)):
nam_list = all_details_json.get(subid).get(
"namprod", [])
nam_str = (config.comma_delimiter).join(nam_list)
else:
nam_str = config.hypen_delimiter
notify["spec_id"] = subid + (
config.hypen_delimiter) + nam_str
notification_details.append(notify)
except Exception as e:
pass
result = notification_details
elif sub_category == "AG Registration Status":
eu_json_list = []
us_json_list = []
latin_list = []
category = config.ag_registration_list
ag_reg_query = helper.unstructure_template(all_details_json,
category)
params = {"fl": config.unstructure_column_str}
unstructure_values, unstructure_df = helper.get_data_from_core(
config.solr_unstructure_data, ag_reg_query, params)
for item in unstructure_values:
try:
json_make = {}
result_spec = item.get("SPEC_ID")
spec_id = helper.finding_spec_details(
spec_list, result_spec)
region = item.get("CATEGORY").strip()
datastr = json.loads(item.get("DATA_EXTRACT"))
if region == "EU_REG_STATUS":
json_make["product"] = str(
item.get("PRODUCT",
config.hypen_delimiter)).strip()
json_make["country"] = str(
datastr.get("Country",
config.hypen_delimiter)).strip()
json_make["holder"] = str(
datastr.get("Holder",
config.hypen_delimiter)).strip()
json_make["registration"] = str(
datastr.get("Registration",
config.hypen_delimiter)).strip()
json_make["expiry"] = str(
datastr.get("Expiry",
config.hypen_delimiter)).strip()
json_make["status"] = str(
datastr.get("Status",
config.hypen_delimiter)).strip()
json_make["certificate"] = str(
datastr.get("Certificate",
config.hypen_delimiter)).strip()
json_make["spec_id"] = spec_id
eu_json_list.append(json_make)
elif region == "US_REG_STATUS":
json_make["product"] = str(
item.get("PRODUCT",
config.hypen_delimiter)).strip()
json_make["EPA_Inert_Product_Listing"] = str(
datastr.get("EPA Inert Product Listing",
config.hypen_delimiter)).strip()
json_make["CA_DPR"] = str(
datastr.get("CA DPR",
config.hypen_delimiter)).strip()
json_make["CP_DA"] = str(
datastr.get("CPDA",
config.hypen_delimiter)).strip()
json_make["WSDA"] = str(
datastr.get("WSDA",
config.hypen_delimiter)).strip()
json_make["OMRI"] = str(
datastr.get("OMRI",
config.hypen_delimiter)).strip()
json_make["OMRI_Reneval_Date"] = str(
datastr.get("OMRI Renewal Date",
config.hypen_delimiter)).strip()
json_make["Canada_OMRI"] = str(
datastr.get("Canada OMRI",
config.hypen_delimiter)).strip()
json_make["PMRA"] = str(
datastr.get("PMRA",
config.hypen_delimiter)).strip()
json_make["spec_id"] = spec_id
us_json_list.append(json_make)
elif region == "LATAM_REG_STATUS":
json_make["product"] = str(
item.get("PRODUCT",
config.hypen_delimiter)).strip()
json_make["country"] = str(
datastr.get("Country",
config.hypen_delimiter)).strip()
json_make["registered_Name"] = str(
datastr.get("Registered Name",
config.hypen_delimiter)).strip()
json_make["date_Granted"] = str(
datastr.get("Date Granted",
config.hypen_delimiter)).strip()
json_make["date_Of_Expiry"] = str(
datastr.get("Date of Expiry",
config.hypen_delimiter)).strip()
json_make["registration_Holder"] = str(
datastr.get("Holder",
config.hypen_delimiter)).strip()
json_make["registration_Certificate"] = str(
datastr.get("Registration Certificate (Location)",
config.hypen_delimiter)).strip()
json_make["spec_id"] = spec_id
latin_list.append(json_make)
del json_make
except Exception as e:
pass
ag_make = {}
ag_make["complianceRegistrationEUData"] = eu_json_list
ag_make["complianceRegistrationCanada_Data"] = us_json_list
ag_make["complianceRegistrationLatin_Data"] = latin_list
result.append(ag_make)
return result
except Exception as e:
return result
def get_toxicology_info(founded_category, unstructure_df, spec_list, std_df,
unstructure_values):
try:
summary_flag = "No"
study_title = []
std_find = []
study_str = config.hypen_delimiter
if "Toxicology-summary" in founded_category:
try:
std_flag = ''
summary_df = unstructure_df[unstructure_df["CATEGORY"] ==
"Toxicology-summary"]
product_type_list = list(summary_df["PRODUCT_TYPE"].unique())
if "NAMPROD" in product_type_list or "BDT" in product_type_list:
summary_flag = "Yes"
elif ("NUMCAS" in product_type_list):
for index, row in summary_df.iterrows():
try:
result_spec = row["SPEC_ID"]
spec_id = helper.finding_spec_details(
spec_list, result_spec)
product_type = row["PRODUCT_TYPE"]
toxic_category = row["CATEGORY"]
product = row["PRODUCT"]
if product_type in ["NUMCAS"]:
specid_list = spec_id.split(
config.pipe_delimitter)
if "CAS" in list(
std_df.columns) and "SUBID" in list(
std_df.columns):
std_find = std_df[
(std_df["CAS"] == product)
& (std_df["SUBID"].isin(specid_list))]
if len(std_find) == 0:
continue
else:
if len(std_find) > 0 and "CVALU" in list(
std_find.columns):
for index, row in std_find.iterrows():
value = row["CVALU"]
unit = row["CUNIT"]
cal_value = helper.calculate_ppm_ppb(
value, unit)
if cal_value > 30:
std_flag = "Yes"
summary_flag = "yes"
break
if std_flag == 'Yes':
break
except Exception as e:
pass
except Exception as e:
pass
#finding study title
for item in unstructure_values:
try:
if item.get("CATEGORY") == "Toxicology":
toxic_data = json.loads(item.get("DATA_EXTRACT", ""))
if toxic_data.get("Study Title", "") != "":
study_title.append(toxic_data.get("Study Title", ""))
if len(study_title) == 3:
break
except Exception as e:
pass
if len(study_title) > 0:
study_str = (config.comma_delimiter).join(study_title)
except Exception as e:
pass
return summary_flag, study_str
def get_assigned_ontology_document(req_body):
try:
output_json=[]
count=0
sub_category=req_body.get("Category_details").get("Subcategory")
out_template={
"US-FDA":{
"US-FDA":[],
"category":"US-FDA"
},"EU-FDA":{
"EU-FDA":[],"category":"EU-FDA"
},"Toxicology-summary":{
"Toxicology-summary":[],"category":"Toxicology Summary"
},"CIDP":{
"CIDP":[],"category":"CIDP"
},"Toxicology":{
"Toxicology":[],"category":"Toxicology"
}
}
category=config.ontology_assigned_category
if sub_category=="assigned":
all_details_json,spec_list,material_list = helper.construct_common_level_json(req_body)
ontology_query=helper.unstructure_template(all_details_json,category)
elif sub_category=="unassigned":
spec_list=[]
category_list=" || ".join(category)
ontology_query=f'CATEGORY:({category_list}) && IS_RELEVANT:0'
params={"fl":config.unstructure_column_str}
unstructure_values,unstructure_df=helper.get_data_from_core(config.solr_unstructure_data,ontology_query,params)
if len(unstructure_values)>0:
for item in unstructure_values:
try:
unstructure_category=item.get("CATEGORY","")
datastr=json.loads(item.get("DATA_EXTRACT",{}))
path=str(datastr.get("file_path",config.hypen_delimiter)).strip()
if path.lower().endswith("pdf"):
result_spec=item.get("SPEC_ID")
product=item.get("PRODUCT",config.hypen_delimiter)
product_type=item.get("PRODUCT_TYPE",config.hypen_delimiter)
spec_id=helper.finding_spec_details(spec_list,result_spec)
filename=datastr.get("file_name",config.hypen_delimiter)
file_split=path.split("/")
file_source=''
for source in config.file_sources:
if source in file_split:
file_source=source
break
json_make={}
count+=1
date=datastr.get("Date",config.hypen_delimiter)
json_make["fileName"]=filename
json_make["file_source"]=file_source
json_make["category"]=unstructure_category
json_make["spec_Id"]=spec_id
if sub_category=="unassigned":
product="No-key-value"
json_make["productName"]=product
json_make["product_Key"]=product_type
json_make["id"]=count
json_make["createdDate"]=date
json_make["data_extract"]=datastr
json_make["sql_Id"]=item.get("ID",'0')
json_make["solr_Id"]=item.get("solr_id",config.hypen_delimiter)
path=helper.replace_char_in_url(path)
json_make["url"]=(config.blob_file_path)+path.replace("/dbfs/mnt/","")+(config.sas_token)
extract_field={}
extract_field["ontologyKey"]=product
for efield in datastr:
if efield not in config.otherfields:
extract_field[efield]=datastr.get(efield,config.hypen_delimiter)
json_make["Extract_Field"]=extract_field
out_template[unstructure_category][unstructure_category].append(json_make)
except Exception as e:
pass
for item in category:
if len(out_template.get(item).get(item))>0:
output_json.append(out_template.get(item))
return output_json
except Exception as e:
return output_json
def get_product_attributes(req_body):
try:
product_attributes_result = []
json_list = []
sub_category = req_body.get("Category_details").get("Subcategory")
validity = req_body.get("Category_details").get("validity")
if sub_category == "Basic Information":
all_details_json, spec_list, material_list = helper.construct_common_level_json(
req_body)
idtxt = []
#finding Relables
spec_join = (config.or_delimiter).join(spec_list)
spec_query = f'SUBID:({spec_join})'
params = {"fl": config.relable_column_str}
result, result_df = helper.get_data_from_core(
config.solr_substance_identifier, spec_query, params)
if len(result_df.columns) != len(config.relable_column):
dummy = pd.DataFrame([], columns=config.relable_column)
result_df = pd.concat([result_df, dummy])
result_df = result_df.fillna("-")
result_df = result_df.replace({"NULL": "-"})
for item in all_details_json:
json_make = {}
json_make["spec_id"] = item
json_make["product_Identification"] = (
config.comma_delimiter).join(
all_details_json.get(item).get("namprod", []))
idtxt_df = result_df[(result_df["IDCAT"] == "NAM")
& (result_df["IDTYP"] == "PROD_RLBL") &
(result_df["LANGU"].isin(["E", "", "-"]))
& (result_df["SUBID"] == item)]
idtxt = list(idtxt_df["IDTXT"].unique())
if len(idtxt) > 0:
json_make["relabels"] = (
config.comma_delimiter).join(idtxt)
else:
json_make["relabels"] = "-"
json_list.append(json_make)
product_attributes_result.append({"basic_details": json_list})
#product Application
json_list = []
category = ["Prod-App"]
prod_query = helper.unstructure_template(all_details_json,
category)
params = {"fl": config.unstructure_column_str}
unstructure_values, unstructure_df = helper.get_data_from_core(
config.solr_unstructure_data, prod_query, params)
if len(unstructure_values) > 0:
try:
for data in unstructure_values:
json_make = {}
product = data.get("PRODUCT", config.hypen_delimiter)
product_type = data.get("PRODUCT_TYPE",
config.hypen_delimiter)
datastr = json.loads(data.get("DATA_EXTRACT", {}))
result_spec = data.get("SPEC_ID")
spec_id = helper.finding_spec_details(
spec_list, result_spec)
path = datastr.get("image_path")
if path != None:
if path.lower().endswith('pdf'):
file_type = 'pdf'
elif path.lower().endswith('png'):
file_type = 'png'
else:
file_type = 'others'
file_split = path.split("/")
file_source = ''
for source in config.file_sources:
if source in file_split:
file_source = source
break
filename = datastr.get("file_name",
config.hypen_delimiter)
if '.pdf' in filename:
filename = filename[:-4]
json_make["filename"] = filename
json_make["file_source"] = file_source
json_make["file_Type"] = file_type
json_make["product"] = product
json_make["product_Type"] = product_type
path = helper.replace_char_in_url(path)
json_make[
"prod_App"] = config.blob_file_path + path.replace(
"/dbfs/mnt/", "") + config.sas_token
json_make["spec_Id"] = spec_id
json_list.append(json_make)
else:
continue
except Exception as e:
pass
product_attributes_result.append(
{"product_Application": json_list})
elif sub_category == "GHS Labeling":
spec_json, spec_list = spec_constructor(req_body)
spec_join = (config.or_delimiter).join(spec_list)
spec_query = f'SUBID:({spec_join})'
ghs_values, ghs_df = helper.get_data_from_core(
config.solr_ghs_labeling_list_data, spec_query)
total_phrky = []
if len(ghs_values) > 0:
for key_column in config.ghs_label:
try:
if key_column in list(ghs_df.columns):
phrase_key = list(ghs_df[key_column].unique())
phrase_split = ";".join(phrase_key)
total_phrky += phrase_split.split(";")
except Exception as e:
pass
#finding phrase text
# phrase_key_query=(config.or_delimiter).join(total_phrky)
phrase_key_query = helper.replace_character_for_querying(
total_phrky)
query = f'PHRKY:({phrase_key_query})'
params = {"fl": config.phrase_column_str}
key_value, key_value_df = helper.get_data_from_core(
config.solr_phrase_translation, query, params)
for data in ghs_values:
try:
json_make = {}
specid = data.get("SUBID", "")
spec_nam_str = specid + (config.hypen_delimiter
) + spec_json.get(specid, "")
json_make["spec_Id"] = spec_nam_str
json_make["usage"] = str(
data.get("ZUSAGE", config.hypen_delimiter).strip())
json_make[
"regulatory_Basis"] = helper.finding_phrase_text(
key_value_df,
str(data.get("REBAS", "")).strip())
json_make["signal_Word"] = helper.finding_phrase_text(
key_value_df,
str(data.get("SIGWD", "")).strip())
json_make[
"hazard_Statements"] = helper.finding_phrase_text(
key_value_df,
str(data.get("HAZST", "")).strip())
json_make[
"prec_Statements"] = helper.finding_phrase_text(
key_value_df,
str(data.get("PRSTG", "")).strip())
json_make["prstp"] = helper.finding_phrase_text(
key_value_df,
str(data.get("PRSTP", "")).strip())
json_make["prstr"] = helper.finding_phrase_text(
key_value_df,
str(data.get("PRSTR", "")).strip())
json_make["prsts"] = helper.finding_phrase_text(
key_value_df,
str(data.get("PRSTS", "")).strip())
json_make["prstd"] = helper.finding_phrase_text(
key_value_df,
str(data.get("PRSTD", "")).strip())
add_info = helper.finding_phrase_text(
key_value_df,
str(data.get("ADDIN", "")).strip())
remarks = helper.finding_phrase_text(
key_value_df,
str(data.get("REMAR", "")).strip())
add_remarks = config.hypen_delimiter
if (add_info != config.hypen_delimiter) and (
remarks != config.hypen_delimiter):
add_remarks = add_info + (
config.comma_delimiter) + remarks
elif (add_info != config.hypen_delimiter):
add_remarks = add_info
elif (remarks != config.hypen_delimiter):
add_remarks = remarks
json_make[
"additional_Information_remarks"] = add_remarks
#symbols
symbols = []
path_list = []
symbol_text = []
text_list = []
symbol_value = str(data.get("SYMBL", "")).strip()
key_list = symbol_value.split(';')
if len(key_list) > 0 and ("PHRKY" in list(
key_value_df.columns)) and ("GRAPH" in list(
key_value_df.columns)):
text_df = key_value_df[key_value_df["PHRKY"].isin(
key_list)]
path_list = list(text_df["GRAPH"].unique())
text_list = list(text_df["PTEXT"].unique())
if len(path_list) > 0:
for file in path_list:
path = (config.ghs_image_path) + file + (
config.sas_token)
symbols.append({"name": path})
json_make["symbols"] = symbols
json_make["symbols_Text"] = (
config.comma_delimiter).join(text_list)
if str(
data.get("ZUSAGE", config.hypen_delimiter).
strip()).upper() != 'PUBLIC: REG_EU':
json_list.append(json_make)
except Exception as e:
pass
product_attributes_result.append({"ghs_Labeling": json_list})
elif sub_category in ["Structures and Formulas", "Flow Diagrams"]:
chem_structure = []
molecular_formula = []
molecular_weight = []
man_flow_dg = []
synthesis_dg = []
all_details_json, spec_list, material_list = helper.construct_common_level_json(
req_body)
std, std_df, legal, legal_df = helper.make_common_query_for_std_legal_composition(
all_details_json)
if sub_category == "Structures and Formulas":
un_category = config.structure_category
else:
un_category = ["man_flow_diagram", "syn_flow_diagram"]
query = helper.unstructure_template(all_details_json, un_category)
params = {"fl": config.unstructure_column_str}
unstructure_values, unstructure_df = helper.get_data_from_core(
config.solr_unstructure_data, query, params)
if len(unstructure_values) > 0:
for item in unstructure_values:
try:
json_make = {}
datastr = {}
category = item.get("CATEGORY", config.hypen_delimiter)
datastr = json.loads(item.get("DATA_EXTRACT", {}))
result_spec = item.get("SPEC_ID")
product = item.get("PRODUCT", config.hypen_delimiter)
product_type = item.get("PRODUCT_TYPE",
config.hypen_delimiter)
spec_id = helper.finding_spec_details(
spec_list, result_spec)
path = datastr.get("file_path", config.hypen_delimiter)
path = helper.replace_char_in_url(path)
std_find = []
legal_find = []
std_flag = "No"
legal_flag = "No"
#checking std and legal compositon condition
if product_type in ["NUMCAS"]:
specid_list = spec_id.split(config.pipe_delimitter)
if "CAS" in list(
std_df.columns) and "SUBID" in list(
std_df.columns):
std_find = std_df[
(std_df["CAS"] == product)
& (std_df["SUBID"].isin(specid_list))]
elif "CAS" in list(
legal_df.columns) and "SUBID" in list(
legal_df.columns):
legal_find = legal_df[
(legal_df["CAS"] == product)
& (legal_df["SUBID"].isin(specid_list))]
if len(std_find) == 0 and len(legal_find) == 0:
continue
else:
if len(std_find) > 0:
std_flag = "Yes"
if len(legal_find) > 0:
legal_flag = "Yes"
json_make["standardComposition"] = std_flag
json_make["legalComposition"] = legal_flag
if path.lower().endswith('pdf'):
file_type = 'pdf'
elif path.lower().endswith('png'):
file_type = 'png'
else:
file_type = 'others'
file_split = path.split("/")
file_source = ''
for source in config.file_sources:
if source in file_split:
file_source = source
break
json_make["spec_Id"] = spec_id
json_make["file_Source"] = file_source
json_make["product_Type"] = product_type
json_make["productName"] = product
if category == "Chemical Structure":
filename = datastr.get(
"file_path", config.hypen_delimiter).split("/")
if len(filename) > 0:
json_make["fileName"] = filename[-1]
else:
json_make["fileName"] = config.hypen_delimiter
json_make["file_Path"] = (
config.blob_file_path) + path.replace(
"/dbfs/mnt/", "") + (config.sas_token)
json_make["file_Type"] = file_type
chem_structure.append(json_make)
elif category == "molecular formula":
path = datastr.get("image_path")
if path != None:
if path.lower().endswith('pdf'):
file_type = 'pdf'
elif path.lower().endswith('png'):
file_type = 'png'
else:
file_type = 'others'
json_make["fileName"] = datastr.get(
"file_name", config.hypen_delimiter)
json_make["file_Path"] = (
config.blob_file_path) + path.replace(
"/dbfs/mnt/", "") + (config.sas_token)
json_make["file_Type"] = file_type
molecular_formula.append(json_make)
else:
continue
elif category == "Molecular-Weight":
json_make["fileName"] = datastr.get(
"file_name", config.hypen_delimiter)
json_make["file_Path"] = (
config.blob_file_path) + path.replace(
"/dbfs/mnt/", "") + (config.sas_token)
json_make["file_Type"] = file_type
weight = datastr.get("Molecular Weight")
if weight != None:
json_make["moelcular_Weight"] = weight
else:
continue
molecular_weight.append(json_make)
elif category == "man_flow_diagram":
filename = datastr.get(
"file_path", config.hypen_delimiter).split("/")
if len(filename) > 0:
json_make["fileName"] = filename[-1]
else:
json_make["fileName"] = config.hypen_delimiter
json_make["file_Path"] = (
config.blob_file_path) + path.replace(
"/dbfs/mnt/", "") + (config.sas_token)
json_make["file_Type"] = file_type
man_flow_dg.append(json_make)
elif category == "syn_flow_diagram":
filename = datastr.get(
"file_path", config.hypen_delimiter).split("/")
if len(filename) > 0:
json_make["fileName"] = filename[-1]
else:
json_make["fileName"] = config.hypen_delimiter
json_make["file_Path"] = (
config.blob_file_path) + path.replace(
"/dbfs/mnt/", "") + (config.sas_token)
json_make["file_Type"] = file_type
synthesis_dg.append(json_make)
json_make = {}
except Exception as e:
pass
if sub_category == "Structures and Formulas":
product_attributes_result.append(
{"chemical_Structure": chem_structure})
product_attributes_result.append(
{"molecular_Formula": molecular_formula})
product_attributes_result.append(
{"molecular_Weight": molecular_weight})
else:
product_attributes_result.append(
{"manufacture_Flow": man_flow_dg})
product_attributes_result.append(
{"synthesis_Diagram": synthesis_dg})
elif sub_category == "Composition":
logging.info(f"product_attributes_request_body {req_body}")
all_details_json, spec_list, material_list = helper.construct_common_level_json(
req_body)
idtxt = []
#finding Relables
spec_join = (config.or_delimiter).join(spec_list)
spec_query = f'SUBID:({spec_join})'
params = {"fl": config.relable_column_str}
result, result_df = helper.get_data_from_core(
config.solr_substance_identifier, spec_query, params)
if len(result_df.columns) != len(config.relable_column):
dummy = pd.DataFrame([], columns=config.relable_column)
result_df = pd.concat([result_df, dummy])
result_df = result_df.fillna("-")
result_df = result_df.replace({"NULL": "-"})
for item in all_details_json:
try:
json_make = {}
json_make["spec_id"] = item
nam_df = result_df[(result_df["IDCAT"] == "NAM")
& (result_df["IDTYP"] == "PROD") &
(result_df["DELFLG"] != 'X')]
nam_list = list(nam_df["IDTXT"].unique())
if len(nam_list) > 0:
product_identify = (
config.comma_delimiter).join(nam_list)
else:
product_identify = config.hypen_delimiter
json_make["product_Identification"] = product_identify
namprod_str = (config.comma_delimiter).join(
all_details_json.get(item).get("namprod", []))
idtxt_df = result_df[(result_df["IDCAT"] == "NAM")
& (result_df["IDTYP"] == "PROD_RLBL")
& (result_df["LANGU"].isin(
["E", "", "-"])) &
(result_df["SUBID"] == item)]
idtxt = list(idtxt_df["IDTXT"].unique())
if len(idtxt) > 0:
json_make["relabels"] = (
config.comma_delimiter).join(idtxt)
else:
json_make["relabels"] = "-"
except Exception as e:
pass
#finding inciname
query = f'TYPE:MATNBR && TEXT2:({spec_join}) && -TYPE:SUBIDREL && -TEXT6:X'
params = {"fl": config.solr_product_column}
mat_values, mat_df = helper.get_data_from_core(
config.solr_product, query, params)
bdt = []
if "TEXT3" in mat_df.columns:
bdt = list(mat_df["TEXT3"].unique())
display_inci_name = []
# for spec in all_details_json:
# bdt+=all_details_json.get(spec).get("bdt",[])
bdt_query = helper.replace_character_for_querying(bdt)
query = f'BDTXT:({bdt_query}) && SUBID:({spec_join})'
inci_values, inci_df = helper.get_data_from_core(
config.solr_inci_name, query)
inci_df.drop_duplicates(inplace=True)
if "INCINAME" in list(inci_df.columns) and "BDTXT" in list(
inci_df.columns):
bdtxt_df = inci_df[["BDTXT", "INCINAME"]]
bdtxt_df.drop_duplicates(inplace=True)
bdtxt_list = bdtxt_df.values.tolist()
for bdtxt, inci in bdtxt_list:
temp = bdtxt + (config.pipe_delimitter) + inci
display_inci_name.append(temp)
json_make["INCI_name"] = (
config.comma_delimiter).join(display_inci_name)
json_list.append(json_make)
#finding material level
spec_with_namprod = f"{spec_list[0]} - {namprod_str}"
materials = []
active_material = []
all_material = []
# if material_query!='':
for item in mat_values:
try:
json_make = {}
material_number = item.get("TEXT1", config.hypen_delimiter)
description = item.get("TEXT4", config.hypen_delimiter)
bdt = item.get("TEXT3", config.hypen_delimiter)
if str(item.get("TEXT5")).strip() != 'X':
json_make["material_Number"] = material_number
json_make["description"] = description
json_make["bdt"] = bdt
json_make["real_Spec_Id"] = spec_with_namprod
active_material.append(json_make)
json_make = {}
json_make["material_Number"] = material_number
json_make["description"] = description
json_make["bdt"] = bdt
json_make["real_Spec_Id"] = spec_with_namprod
all_material.append(json_make)
except Exception as e:
pass
#Finding usage for compositon
cas_list = []
for spec in all_details_json:
cas_list += all_details_json.get(spec).get("pure_spec_id")
cas_query = (config.or_delimiter).join(cas_list)
spec_query = (config.or_delimiter).join(spec_list)
std_hund_list, usage_catgory, legal_list, legal_usage = find_zusage(
all_details_json, cas_query, spec_query)
if len(usage_catgory) > 0:
validity = usage_catgory[0]
std_values = find_std_hundrd_composition_details(
validity, cas_query, spec_query, req_body,
all_details_json, spec_with_namprod)
else:
std_values = []
std_hund_list = []
if len(legal_usage) > 0:
validity = legal_usage[0]
legal_values = find_legal_composition_details(
validity, cas_query, spec_query, req_body,
all_details_json, cas_list, spec_with_namprod)
else:
legal_values = {"legal_composition": [], "svt": []}
legal_list = []
#finding default value for std composition
json_make = {}
json_make["product_Level"] = json_list
json_make["active_material"] = active_material
json_make["all_material"] = all_material
json_make["std_hund_usage"] = std_hund_list
json_make["legal_usage"] = legal_list
json_make["std_values"] = std_values
json_make["legal_values"] = legal_values
product_attributes_result = [json_make]
elif sub_category in [
"Standard, 100 % & INCI Composition", "Legal Composition"
]:
all_details_json, spec_list, material_list = helper.construct_common_level_json(
req_body)
cas_list = []
spec_list = []
for spec in all_details_json:
spec_list.append(spec)
cas_list += all_details_json.get(spec).get("pure_spec_id")
cas_query = (config.or_delimiter).join(cas_list)
spec_query = (config.or_delimiter).join(spec_list)
if validity is None:
std_hund_list, usage_catgory, legal_list, legal_usage = find_zusage(
all_details_json, cas_query, spec_query)
if sub_category == "Standard, 100 % & INCI Composition":
return std_hund_list
elif sub_category == "Legal Composition":
return legal_list
if validity is not None:
if sub_category == "Standard, 100 % & INCI Composition":
std_values = find_std_hundrd_composition_details(
validity, cas_query, spec_query, req_body,
all_details_json)
return std_values
elif sub_category == "Legal Composition":
legal_values = find_legal_composition_details(
validity, cas_query, spec_query, req_body,
all_details_json, cas_list)
return legal_values
return product_attributes_result
except Exception as e:
return product_attributes_result