Providing validation on model class level in sqlalchemy
I am trying to insert data to my postgres table after reading a xlsx file.
I need to validate the xlsx sheet data before I insert it into my table.
I am working on pandas dataframe df = pd.read_excel('/Users/ankitg3-mac/Downloads/medical_plans/%s' % filename)
I am using sqlalchemy as my ORM tool.
My model class:
class MedicalPlan(Base):
__tablename__ = "medical_plans"
id = Column(Integer, nullable=False , primary_key=True)
issuer_id = Column(Integer, ForeignKey('issuers.id'), nullable=False)
service_area_id = Column(Integer)
name = Column(String)
on_exchange = Column(Boolean)
off_exchange = Column(Boolean)
starting_percentage_fpl = Column(REAL, nullable=False , default=0)
ending_percentage_fpl = Column(REAL, nullable=False, default=0)
metal_level_name = Column(String)
network_type = Column(String)
type = Column(String)
is_age_29_plan = Column(Boolean)
original_medicare = Column(Boolean)
default_bhp = Column(Boolean, default=False)
sort_rank_override = Column(Integer)
recommended = Column(Boolean, default=False)
comparable_individual_plan_id_trash = Column(Integer)
group_or_individual_plan_type = Column(String)
hios_plan_identifier = Column(String)
I am doing a bulk insert using a list of dictionaries.
conn.execute(MedicalPlan.__table__.insert(), medicalPlan_dict)
My medicalPlan_dict looks like below:
[u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 440, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99844RI1800001', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity', u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 484, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99806CAAUSJ-TMP1', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity', u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 440, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99844RI1800002', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity']
I need to validate the data before I insert it into my table.
I read about sqlalchemy validations, and tried something like below, assuming that it will take care of the validations at the model level.
@validates('hios_plan_identifier')
def validate_hios_plan_identifier(self, key, hios_plan_identifier):
assert '/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,' in hios_plan_identifier
return hios_plan_identifier
I need to put few validations on each variable. Only the rows which passes should be inserted.
I am not sure how to work on validations at model level. How can I achieve this.
python postgresql pandas sqlalchemy
|
show 12 more comments
I am trying to insert data to my postgres table after reading a xlsx file.
I need to validate the xlsx sheet data before I insert it into my table.
I am working on pandas dataframe df = pd.read_excel('/Users/ankitg3-mac/Downloads/medical_plans/%s' % filename)
I am using sqlalchemy as my ORM tool.
My model class:
class MedicalPlan(Base):
__tablename__ = "medical_plans"
id = Column(Integer, nullable=False , primary_key=True)
issuer_id = Column(Integer, ForeignKey('issuers.id'), nullable=False)
service_area_id = Column(Integer)
name = Column(String)
on_exchange = Column(Boolean)
off_exchange = Column(Boolean)
starting_percentage_fpl = Column(REAL, nullable=False , default=0)
ending_percentage_fpl = Column(REAL, nullable=False, default=0)
metal_level_name = Column(String)
network_type = Column(String)
type = Column(String)
is_age_29_plan = Column(Boolean)
original_medicare = Column(Boolean)
default_bhp = Column(Boolean, default=False)
sort_rank_override = Column(Integer)
recommended = Column(Boolean, default=False)
comparable_individual_plan_id_trash = Column(Integer)
group_or_individual_plan_type = Column(String)
hios_plan_identifier = Column(String)
I am doing a bulk insert using a list of dictionaries.
conn.execute(MedicalPlan.__table__.insert(), medicalPlan_dict)
My medicalPlan_dict looks like below:
[u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 440, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99844RI1800001', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity', u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 484, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99806CAAUSJ-TMP1', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity', u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 440, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99844RI1800002', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity']
I need to validate the data before I insert it into my table.
I read about sqlalchemy validations, and tried something like below, assuming that it will take care of the validations at the model level.
@validates('hios_plan_identifier')
def validate_hios_plan_identifier(self, key, hios_plan_identifier):
assert '/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,' in hios_plan_identifier
return hios_plan_identifier
I need to put few validations on each variable. Only the rows which passes should be inserted.
I am not sure how to work on validations at model level. How can I achieve this.
python postgresql pandas sqlalchemy
Though it is somewhat obvious, you should provide a bit more information as to how is it not working. Questions without a clear problem statement are not useful in general.
– Ilja Everilä
Nov 13 '18 at 9:58
updated the whole question . Hope you get where I am stuck
– user1896796
Nov 13 '18 at 10:33
This line:'/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,' in hios_plan_identifier
.'/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,'
is not a regex, it's just a normal string. That assert will not evaluate to True unless that whole string is in the value ofhios_plan_identifier
.
– SuperShoot
Nov 13 '18 at 10:37
isre.search()
what you are looking for?
– SuperShoot
Nov 13 '18 at 10:44
1
I wonder if the ORM level validations even apply to bulk inserts.
– Ilja Everilä
Nov 13 '18 at 10:51
|
show 12 more comments
I am trying to insert data to my postgres table after reading a xlsx file.
I need to validate the xlsx sheet data before I insert it into my table.
I am working on pandas dataframe df = pd.read_excel('/Users/ankitg3-mac/Downloads/medical_plans/%s' % filename)
I am using sqlalchemy as my ORM tool.
My model class:
class MedicalPlan(Base):
__tablename__ = "medical_plans"
id = Column(Integer, nullable=False , primary_key=True)
issuer_id = Column(Integer, ForeignKey('issuers.id'), nullable=False)
service_area_id = Column(Integer)
name = Column(String)
on_exchange = Column(Boolean)
off_exchange = Column(Boolean)
starting_percentage_fpl = Column(REAL, nullable=False , default=0)
ending_percentage_fpl = Column(REAL, nullable=False, default=0)
metal_level_name = Column(String)
network_type = Column(String)
type = Column(String)
is_age_29_plan = Column(Boolean)
original_medicare = Column(Boolean)
default_bhp = Column(Boolean, default=False)
sort_rank_override = Column(Integer)
recommended = Column(Boolean, default=False)
comparable_individual_plan_id_trash = Column(Integer)
group_or_individual_plan_type = Column(String)
hios_plan_identifier = Column(String)
I am doing a bulk insert using a list of dictionaries.
conn.execute(MedicalPlan.__table__.insert(), medicalPlan_dict)
My medicalPlan_dict looks like below:
[u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 440, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99844RI1800001', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity', u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 484, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99806CAAUSJ-TMP1', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity', u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 440, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99844RI1800002', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity']
I need to validate the data before I insert it into my table.
I read about sqlalchemy validations, and tried something like below, assuming that it will take care of the validations at the model level.
@validates('hios_plan_identifier')
def validate_hios_plan_identifier(self, key, hios_plan_identifier):
assert '/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,' in hios_plan_identifier
return hios_plan_identifier
I need to put few validations on each variable. Only the rows which passes should be inserted.
I am not sure how to work on validations at model level. How can I achieve this.
python postgresql pandas sqlalchemy
I am trying to insert data to my postgres table after reading a xlsx file.
I need to validate the xlsx sheet data before I insert it into my table.
I am working on pandas dataframe df = pd.read_excel('/Users/ankitg3-mac/Downloads/medical_plans/%s' % filename)
I am using sqlalchemy as my ORM tool.
My model class:
class MedicalPlan(Base):
__tablename__ = "medical_plans"
id = Column(Integer, nullable=False , primary_key=True)
issuer_id = Column(Integer, ForeignKey('issuers.id'), nullable=False)
service_area_id = Column(Integer)
name = Column(String)
on_exchange = Column(Boolean)
off_exchange = Column(Boolean)
starting_percentage_fpl = Column(REAL, nullable=False , default=0)
ending_percentage_fpl = Column(REAL, nullable=False, default=0)
metal_level_name = Column(String)
network_type = Column(String)
type = Column(String)
is_age_29_plan = Column(Boolean)
original_medicare = Column(Boolean)
default_bhp = Column(Boolean, default=False)
sort_rank_override = Column(Integer)
recommended = Column(Boolean, default=False)
comparable_individual_plan_id_trash = Column(Integer)
group_or_individual_plan_type = Column(String)
hios_plan_identifier = Column(String)
I am doing a bulk insert using a list of dictionaries.
conn.execute(MedicalPlan.__table__.insert(), medicalPlan_dict)
My medicalPlan_dict looks like below:
[u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 440, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99844RI1800001', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity', u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 484, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99806CAAUSJ-TMP1', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity', u'default_bhp': False, u'price_period': u'Monthly', u'plan_description': '', u'sbc_download_url': '', u'price_note': '', u'starting_percentage_fpl': 0, u'is_uhc_plan': False, 'issuer_id': 440, u'part_b_deductible': '', u'promotional_label': '', u'metal_level_name': u'Silver', u'network_url': '', u'group_or_individual_plan_type': u'Group', u'treatment_cost_calculator_url': '', u'hios_plan_identifier': u'99844RI1800002', u'original_medicare': False, u'part_d_prescription_coverage': '', u'recommended': False, u'off_exchange': True, u'is_age_29_plan': False, u'type': u'MetalPlan', u'ending_percentage_fpl': 0, u'plan_detail_footer': '', u'formulary_url': '', u'plan_detail_items': '', u'highlight_6': '', u'highlight_4': '', u'highlight_5': '', u'hsa_eligible': False, u'highlight_3': u'PCP 20% coinsurance', u'highlight_1': u'Silver', u'name': u'WI 80 INDEMNITY 18 OPTION 1 SILVER RX $10/45/90/25%', u'network_description': '', u'plan_detail_header': '', 'service_area_id': 1, u'data_sourced_from': u'uhc', u'plan_year': 2018, u'highlight_2': u'Indemnity', u'on_exchange': False, u'network_type': u'Indemnity']
I need to validate the data before I insert it into my table.
I read about sqlalchemy validations, and tried something like below, assuming that it will take care of the validations at the model level.
@validates('hios_plan_identifier')
def validate_hios_plan_identifier(self, key, hios_plan_identifier):
assert '/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,' in hios_plan_identifier
return hios_plan_identifier
I need to put few validations on each variable. Only the rows which passes should be inserted.
I am not sure how to work on validations at model level. How can I achieve this.
python postgresql pandas sqlalchemy
python postgresql pandas sqlalchemy
edited Nov 13 '18 at 10:31
user1896796
asked Nov 13 '18 at 9:39
user1896796user1896796
129217
129217
Though it is somewhat obvious, you should provide a bit more information as to how is it not working. Questions without a clear problem statement are not useful in general.
– Ilja Everilä
Nov 13 '18 at 9:58
updated the whole question . Hope you get where I am stuck
– user1896796
Nov 13 '18 at 10:33
This line:'/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,' in hios_plan_identifier
.'/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,'
is not a regex, it's just a normal string. That assert will not evaluate to True unless that whole string is in the value ofhios_plan_identifier
.
– SuperShoot
Nov 13 '18 at 10:37
isre.search()
what you are looking for?
– SuperShoot
Nov 13 '18 at 10:44
1
I wonder if the ORM level validations even apply to bulk inserts.
– Ilja Everilä
Nov 13 '18 at 10:51
|
show 12 more comments
Though it is somewhat obvious, you should provide a bit more information as to how is it not working. Questions without a clear problem statement are not useful in general.
– Ilja Everilä
Nov 13 '18 at 9:58
updated the whole question . Hope you get where I am stuck
– user1896796
Nov 13 '18 at 10:33
This line:'/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,' in hios_plan_identifier
.'/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,'
is not a regex, it's just a normal string. That assert will not evaluate to True unless that whole string is in the value ofhios_plan_identifier
.
– SuperShoot
Nov 13 '18 at 10:37
isre.search()
what you are looking for?
– SuperShoot
Nov 13 '18 at 10:44
1
I wonder if the ORM level validations even apply to bulk inserts.
– Ilja Everilä
Nov 13 '18 at 10:51
Though it is somewhat obvious, you should provide a bit more information as to how is it not working. Questions without a clear problem statement are not useful in general.
– Ilja Everilä
Nov 13 '18 at 9:58
Though it is somewhat obvious, you should provide a bit more information as to how is it not working. Questions without a clear problem statement are not useful in general.
– Ilja Everilä
Nov 13 '18 at 9:58
updated the whole question . Hope you get where I am stuck
– user1896796
Nov 13 '18 at 10:33
updated the whole question . Hope you get where I am stuck
– user1896796
Nov 13 '18 at 10:33
This line:
'/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,' in hios_plan_identifier
. '/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,'
is not a regex, it's just a normal string. That assert will not evaluate to True unless that whole string is in the value of hios_plan_identifier
.– SuperShoot
Nov 13 '18 at 10:37
This line:
'/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,' in hios_plan_identifier
. '/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,'
is not a regex, it's just a normal string. That assert will not evaluate to True unless that whole string is in the value of hios_plan_identifier
.– SuperShoot
Nov 13 '18 at 10:37
is
re.search()
what you are looking for?– SuperShoot
Nov 13 '18 at 10:44
is
re.search()
what you are looking for?– SuperShoot
Nov 13 '18 at 10:44
1
1
I wonder if the ORM level validations even apply to bulk inserts.
– Ilja Everilä
Nov 13 '18 at 10:51
I wonder if the ORM level validations even apply to bulk inserts.
– Ilja Everilä
Nov 13 '18 at 10:51
|
show 12 more comments
1 Answer
1
active
oldest
votes
Two options:
- Add a
CheckConstraint
on the column and add your regex there, see
https://www.postgresql.org/docs/9.3/functions-matching.html . That works in whatever way you throw the data into the database. - Use event based validation as demonstrated here , create a list of objects you want to insert and use
session.add_all()
for batch insert.
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Two options:
- Add a
CheckConstraint
on the column and add your regex there, see
https://www.postgresql.org/docs/9.3/functions-matching.html . That works in whatever way you throw the data into the database. - Use event based validation as demonstrated here , create a list of objects you want to insert and use
session.add_all()
for batch insert.
add a comment |
Two options:
- Add a
CheckConstraint
on the column and add your regex there, see
https://www.postgresql.org/docs/9.3/functions-matching.html . That works in whatever way you throw the data into the database. - Use event based validation as demonstrated here , create a list of objects you want to insert and use
session.add_all()
for batch insert.
add a comment |
Two options:
- Add a
CheckConstraint
on the column and add your regex there, see
https://www.postgresql.org/docs/9.3/functions-matching.html . That works in whatever way you throw the data into the database. - Use event based validation as demonstrated here , create a list of objects you want to insert and use
session.add_all()
for batch insert.
Two options:
- Add a
CheckConstraint
on the column and add your regex there, see
https://www.postgresql.org/docs/9.3/functions-matching.html . That works in whatever way you throw the data into the database. - Use event based validation as demonstrated here , create a list of objects you want to insert and use
session.add_all()
for batch insert.
answered Nov 22 '18 at 12:16
MichaelMichael
3,7542554
3,7542554
add a comment |
add a comment |
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Though it is somewhat obvious, you should provide a bit more information as to how is it not working. Questions without a clear problem statement are not useful in general.
– Ilja Everilä
Nov 13 '18 at 9:58
updated the whole question . Hope you get where I am stuck
– user1896796
Nov 13 '18 at 10:33
This line:
'/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,' in hios_plan_identifier
.'/A(d5[A-Z]2[a-zA-Z0-9]3,7-TMP|d5[A-Z]2d3,7(-?d2)*)z/,'
is not a regex, it's just a normal string. That assert will not evaluate to True unless that whole string is in the value ofhios_plan_identifier
.– SuperShoot
Nov 13 '18 at 10:37
is
re.search()
what you are looking for?– SuperShoot
Nov 13 '18 at 10:44
1
I wonder if the ORM level validations even apply to bulk inserts.
– Ilja Everilä
Nov 13 '18 at 10:51