class ExportCountryHistory(BaseESModel):
"""Elasticsearch representation of CompanyExportCountryHistory model."""
id = Keyword()
history_date = Date(index=False)
history_user = fields.id_unindexed_name_field()
history_type = Keyword(index=True)
country = fields.id_unindexed_name_field()
company = fields.id_unindexed_name_field()
status = Keyword(index=False)
# Adding `date` field, mapping to `history_date` for sorting across entities
# export_country_history and interaction.
date = Date()
MAPPINGS = {
'history_user': dict_utils.id_name_dict,
'country': dict_utils.id_name_dict,
'company': dict_utils.id_name_dict,
}
COMPUTED_MAPPINGS = {
'id': lambda obj: obj.history_id, # Id required for indexing
'date': lambda obj: obj.history_date,
}
class Meta:
"""Default document meta data."""
doc_type = DOC_TYPE
class Index:
doc_type = DOC_TYPE
class Interaction(BaseESModel):
"""Elasticsearch representation of Interaction model."""
id = Keyword()
company = fields.company_field()
company_sector = fields.sector_field()
company_one_list_group_tier = fields.id_unindexed_name_field()
communication_channel = fields.id_unindexed_name_field()
contacts = _contact_field()
created_on = Date()
date = Date()
dit_participants = Object(_DITParticipant)
event = fields.id_name_partial_field()
investment_project = fields.id_unindexed_name_field()
investment_project_sector = fields.sector_field()
is_event = Boolean(index=False)
grant_amount_offered = Double(index=False)
kind = Keyword()
modified_on = Date()
net_company_receipt = Double(index=False)
notes = fields.Text(index=False)
policy_areas = fields.id_unindexed_name_field()
policy_issue_types = fields.id_unindexed_name_field()
service = fields.id_unindexed_name_field()
service_delivery_status = fields.id_unindexed_name_field()
subject = fields.NormalizedKeyword(
fields={
'english': fields.EnglishText(),
},
)
was_policy_feedback_provided = Boolean()
were_countries_discussed = Boolean()
export_countries = _export_country_field()
MAPPINGS = {
'company': dict_utils.company_dict,
'communication_channel': dict_utils.id_name_dict,
'contacts': dict_utils.contact_or_adviser_list_of_dicts,
'dit_participants': _dit_participant_list,
'export_countries': _export_countries_list,
'event': dict_utils.id_name_dict,
'investment_project': dict_utils.id_name_dict,
'policy_areas': dict_utils.id_name_list_of_dicts,
'policy_issue_types': dict_utils.id_name_list_of_dicts,
'service': dict_utils.id_name_dict,
'service_delivery_status': dict_utils.id_name_dict,
}
COMPUTED_MAPPINGS = {
'company_sector': dict_utils.computed_nested_sector_dict('company.sector'),
'company_one_list_group_tier': lambda obj: dict_utils.id_name_dict(
obj.company.get_one_list_group_tier() if obj.company else None,
),
'investment_project_sector': dict_utils.computed_nested_sector_dict(
'investment_project.sector',
),
'is_event': attrgetter('is_event'),
}
SEARCH_FIELDS = (
'id',
'company.name',
'company.name.trigram',
'contacts.name', # to find 2-letter words
'contacts.name.trigram',
'event.name',
'event.name.trigram',
'subject.english',
'dit_participants.adviser.name',
'dit_participants.adviser.name.trigram',
'dit_participants.team.name',
'dit_participants.team.name.trigram',
)
class Meta:
"""Default document meta data."""
doc_type = DOC_TYPE
class Index:
doc_type = DOC_TYPE
class LargeCapitalOpportunity(BaseSearchModel):
"""OpenSearch representation of LargeCapitalOpportunity."""
id = Keyword()
name = Text(fields={
'keyword': fields.NormalizedKeyword(),
'trigram': fields.TrigramText(),
}, )
type = fields.id_unindexed_name_field()
description = Text(fields={
'keyword': fields.NormalizedKeyword(),
'trigram': fields.TrigramText(),
}, )
uk_region_locations = fields.id_unindexed_name_field()
promoters = fields.company_field()
required_checks_conducted = fields.id_unindexed_name_field()
required_checks_conducted_by = fields.contact_or_adviser_field(
include_dit_team=True)
required_checks_conducted_on = Date()
lead_dit_relationship_manager = fields.contact_or_adviser_field(
include_dit_team=True)
other_dit_contacts = fields.contact_or_adviser_field(include_dit_team=True)
asset_classes = fields.id_unindexed_name_field()
opportunity_value_type = fields.id_unindexed_name_field()
opportunity_value = Long()
construction_risks = fields.id_unindexed_name_field()
total_investment_sought = Long()
current_investment_secured = Long()
investment_types = fields.id_unindexed_name_field()
estimated_return_rate = fields.id_unindexed_name_field()
time_horizons = fields.id_unindexed_name_field()
investment_projects = fields.id_unindexed_name_field()
status = fields.id_unindexed_name_field()
sources_of_funding = fields.id_unindexed_name_field()
dit_support_provided = Boolean()
reasons_for_abandonment = fields.id_unindexed_name_field()
created_by = fields.contact_or_adviser_field(include_dit_team=True)
created_on = Date()
modified_on = Date()
_MAIN_FIELD_MAPPINGS = {
'type': dict_utils.id_name_dict,
'status': dict_utils.id_name_dict,
'created_by': dict_utils.adviser_dict_with_team,
}
_DETAIL_FIELD_MAPPINGS = {
'uk_region_locations': _get_many_to_many_list,
'promoters': _get_company_list,
'required_checks_conducted': dict_utils.id_name_dict,
'required_checks_conducted_by': dict_utils.adviser_dict_with_team,
'lead_dit_relationship_manager': dict_utils.adviser_dict_with_team,
'other_dit_contacts': _get_adviser_list,
'asset_classes': _get_many_to_many_list,
'opportunity_value_type': dict_utils.id_name_dict,
'construction_risks': _get_many_to_many_list,
'investment_projects': _get_investment_project_list,
'sources_of_funding': _get_many_to_many_list,
'reasons_for_abandonment': _get_many_to_many_list,
}
_REQUIREMENT_FIELD_MAPPINGS = {
'investment_types': _get_many_to_many_list,
'estimated_return_rate': dict_utils.id_name_dict,
'time_horizons': _get_many_to_many_list,
}
MAPPINGS = {
**_MAIN_FIELD_MAPPINGS,
**_DETAIL_FIELD_MAPPINGS,
**_REQUIREMENT_FIELD_MAPPINGS,
}
class LargeInvestorProfile(BaseSearchModel):
"""OpenSearch representation of LargeInvestorProfile."""
id = Keyword()
investor_company = fields.company_field()
country_of_origin = fields.country_field()
asset_classes_of_interest = fields.id_unindexed_name_field()
created_by = fields.contact_or_adviser_field(include_dit_team=True)
investor_type = fields.id_unindexed_name_field()
global_assets_under_management = Long()
investable_capital = Long()
required_checks_conducted = fields.id_unindexed_name_field()
deal_ticket_sizes = fields.id_unindexed_name_field()
investment_types = fields.id_unindexed_name_field()
minimum_return_rate = fields.id_unindexed_name_field()
time_horizons = fields.id_unindexed_name_field()
restrictions = fields.id_unindexed_name_field()
construction_risks = fields.id_unindexed_name_field()
minimum_equity_percentage = fields.id_unindexed_name_field()
desired_deal_roles = fields.id_unindexed_name_field()
uk_region_locations = fields.id_unindexed_name_field()
other_countries_being_considered = fields.country_field()
investor_description = fields.EnglishText()
notes_on_locations = fields.EnglishText()
created_on = Date()
modified_on = Date()
_MAIN_FIELD_MAPPINGS = {
'asset_classes_of_interest': _get_many_to_many_list,
'country_of_origin': dict_utils.id_name_dict,
'investor_company': dict_utils.company_dict,
'created_by': dict_utils.adviser_dict_with_team,
}
_DETAIL_FIELD_MAPPINGS = {
'investor_type': dict_utils.id_name_dict,
'required_checks_conducted': dict_utils.id_name_dict,
}
_REQUIREMENT_FIELD_MAPPINGS = {
'deal_ticket_sizes': _get_many_to_many_list,
'investment_types': _get_many_to_many_list,
'minimum_return_rate': dict_utils.id_name_dict,
'time_horizons': _get_many_to_many_list,
'restrictions': _get_many_to_many_list,
'construction_risks': _get_many_to_many_list,
'minimum_equity_percentage': dict_utils.id_name_dict,
'desired_deal_roles': _get_many_to_many_list,
}
_LOCATION_FIELD_MAPPINGS = {
'uk_region_locations': _get_many_to_many_list,
'other_countries_being_considered': _get_many_to_many_list,
}
MAPPINGS = {
**_MAIN_FIELD_MAPPINGS,
**_DETAIL_FIELD_MAPPINGS,
**_REQUIREMENT_FIELD_MAPPINGS,
**_LOCATION_FIELD_MAPPINGS,
}