def get_series():
series_to_set = {}
for doctype in doctype_series_map:
if not dataent.db.exists('DocType', doctype):
continue
if not dataent.db.a_row_exists(doctype):
continue
if not dataent.db.has_column(doctype, 'naming_series'):
continue
if not dataent.get_meta(doctype).has_field('naming_series'):
continue
series_to_preserve = list(filter(None,
get_series_to_preserve(doctype)))
default_series = get_default_series(doctype)
if not series_to_preserve:
continue
existing_series = (
dataent.get_meta(doctype).get_field("naming_series").options
or "").split("\n")
existing_series = list(
filter(None, [d.strip() for d in existing_series]))
# set naming series property setter
series_to_preserve = list(set(series_to_preserve + existing_series))
if series_to_preserve:
series_to_set[doctype] = {
"options": "\n".join(series_to_preserve),
"default": default_series
}
return series_to_set
def get_filter(doctype, f):
"""Returns a _dict like
{
"doctype":
"fieldname":
"operator":
"value":
}
"""
from dataent.model import default_fields, optional_fields
if isinstance(f, dict):
key, value = next(iter(f.items()))
f = make_filter_tuple(doctype, key, value)
if not isinstance(f, (list, tuple)):
dataent.throw(dataent._("Filter must be a tuple or list (in a list)"))
if len(f) == 3:
f = (doctype, f[0], f[1], f[2])
elif len(f) > 4:
f = f[0:4]
elif len(f) != 4:
dataent.throw(
dataent.
_("Filter must have 4 values (doctype, fieldname, operator, value): {0}"
).format(str(f)))
f = dataent._dict(doctype=f[0], fieldname=f[1], operator=f[2], value=f[3])
sanitize_column(f.fieldname)
if not f.operator:
# if operator is missing
f.operator = "="
valid_operators = ("=", "!=", ">", "<", ">=", "<=", "like", "not like",
"in", "not in", "between", "descendants of",
"ancestors of", "not descendants of",
"not ancestors of", "is")
if f.operator.lower() not in valid_operators:
dataent.throw(
dataent._("Operator must be one of {0}").format(
", ".join(valid_operators)))
if f.doctype and (f.fieldname not in default_fields + optional_fields):
# verify fieldname belongs to the doctype
meta = dataent.get_meta(f.doctype)
if not meta.has_field(f.fieldname):
# try and match the doctype name from child tables
for df in meta.get_table_fields():
if dataent.get_meta(df.options).has_field(f.fieldname):
f.doctype = df.options
break
return f
def get_meta():
doctype_meta = {
'customer': dataent.get_meta('Customer'),
'invoice': dataent.get_meta('Sales Invoice')
}
for row in dataent.get_all('DocField', fields=['fieldname', 'options'],
filters={'parent': 'Sales Invoice', 'fieldtype': 'Table'}):
doctype_meta[row.fieldname] = dataent.get_meta(row.options)
return doctype_meta
def get_series():
return {
"sales_order_series":
dataent.get_meta("Sales Order").get_options("naming_series")
or "SO-Shopify-",
"sales_invoice_series":
dataent.get_meta("Sales Invoice").get_options("naming_series")
or "SI-Shopify-",
"delivery_note_series":
dataent.get_meta("Delivery Note").get_options("naming_series")
or "DN-Shopify-"
}
def execute():
for dt in ("Sales Invoice Advance", "Purchase Invoice Advance"):
dataent.reload_doctype(dt)
dataent.db.sql(
"update `tab{0}` set reference_type = 'Journal Entry'".format(dt))
if dataent.get_meta(dt).has_field('journal_entry'):
rename_field(dt, "journal_entry", "reference_name")
if dataent.get_meta(dt).has_field('jv_detail_no'):
rename_field(dt, "jv_detail_no", "reference_row")
def update_student_name_in_linked_doctype(self):
linked_doctypes = get_linked_doctypes("Student")
for d in linked_doctypes:
meta = dataent.get_meta(d)
if not meta.issingle:
if "student_name" in [f.fieldname for f in meta.fields]:
dataent.db.sql("""UPDATE `tab{0}` set student_name = %s where {1} = %s"""
.format(d, linked_doctypes[d]["fieldname"][0]),(self.title, self.name))
if "child_doctype" in linked_doctypes[d].keys() and "student_name" in \
[f.fieldname for f in dataent.get_meta(linked_doctypes[d]["child_doctype"]).fields]:
dataent.db.sql("""UPDATE `tab{0}` set student_name = %s where {1} = %s"""
.format(linked_doctypes[d]["child_doctype"], linked_doctypes[d]["fieldname"][0]),(self.title, self.name))
def search(text, start=0, limit=20, doctype=""):
"""
Search for given text in __global_search
:param text: phrase to be searched
:param start: start results at, default 0
:param limit: number of results to return, default 20
:return: Array of result objects
"""
results = []
texts = text.split('&')
for text in texts:
text = "+" + text + "*"
if not doctype:
result = dataent.db.sql('''
select
doctype, name, content
from
__global_search
where
match(content) against (%s IN BOOLEAN MODE)
limit {start}, {limit}'''.format(start=start, limit=limit),
text + "*",
as_dict=True)
else:
result = dataent.db.sql('''
select
doctype, name, content
from
__global_search
where
doctype = %s AND
match(content) against (%s IN BOOLEAN MODE)
limit {start}, {limit}'''.format(start=start, limit=limit),
(doctype, text),
as_dict=True)
tmp_result = []
for i in result:
if i in results or not results:
tmp_result.append(i)
results = tmp_result
for r in results:
try:
if dataent.get_meta(r.doctype).image_field:
r.image = dataent.db.get_value(
r.doctype, r.name,
dataent.get_meta(r.doctype).image_field)
except Exception:
dataent.clear_messages()
return results
def get_fields_label(doctype=None):
meta = dataent.get_meta(doctype)
if doctype in core_doctypes_list:
return dataent.msgprint(
_("Custom Fields cannot be added to core DocTypes."))
if meta.custom:
return dataent.msgprint(
_("Custom Fields can only be added to a standard DocType."))
return [{
"value": df.fieldname or "",
"label": _(df.label or "")
} for df in dataent.get_meta(doctype).get("fields")]
def update_values(dt, tax_table):
rate_field_precision = get_field_precision(
dataent.get_meta(dt + " Item").get_field("rate"))
tax_amount_precision = get_field_precision(
dataent.get_meta(tax_table).get_field("tax_amount"))
# update net_total, discount_on
dataent.db.sql("""
UPDATE
`tab{0}`
SET
total_taxes_and_charges = round(base_total_taxes_and_charges / conversion_rate, {1})
WHERE
docstatus < 2
and ifnull(base_total_taxes_and_charges, 0) != 0
and ifnull(total_taxes_and_charges, 0) = 0
""".format(dt, tax_amount_precision))
# update net_amount
dataent.db.sql("""
UPDATE
`tab{0}` par, `tab{1}` item
SET
item.net_amount = round(item.base_net_amount / par.conversion_rate, {2}),
item.net_rate = round(item.base_net_rate / par.conversion_rate, {2})
WHERE
par.name = item.parent
and par.docstatus < 2
and ((ifnull(item.base_net_amount, 0) != 0 and ifnull(item.net_amount, 0) = 0)
or (ifnull(item.base_net_rate, 0) != 0 and ifnull(item.net_rate, 0) = 0))
""".format(dt, dt + " Item", rate_field_precision))
# update tax in party currency
dataent.db.sql("""
UPDATE
`tab{0}` par, `tab{1}` tax
SET
tax.tax_amount = round(tax.base_tax_amount / par.conversion_rate, {2}),
tax.total = round(tax.base_total / conversion_rate, {2}),
tax.tax_amount_after_discount_amount = round(tax.base_tax_amount_after_discount_amount / conversion_rate, {2})
WHERE
par.name = tax.parent
and par.docstatus < 2
and ((ifnull(tax.base_tax_amount, 0) != 0 and ifnull(tax.tax_amount, 0) = 0)
or (ifnull(tax.base_total, 0) != 0 and ifnull(tax.total, 0) = 0)
or (ifnull(tax.base_tax_amount_after_discount_amount, 0) != 0 and
ifnull(tax.tax_amount_after_discount_amount, 0) = 0))
""".format(dt, tax_table, tax_amount_precision))
def get_accounts_data(self, account=None):
accounts = []
self.validate_mandatory()
company_currency = epaas.get_company_currency(self.company)
precision = get_field_precision(dataent.get_meta("Exchange Rate Revaluation Account")
.get_field("new_balance_in_base_currency"), company_currency)
account_details = self.get_accounts_from_gle()
for d in account_details:
current_exchange_rate = d.balance / d.balance_in_account_currency \
if d.balance_in_account_currency else 0
new_exchange_rate = get_exchange_rate(d.account_currency, company_currency, self.posting_date)
new_balance_in_base_currency = flt(d.balance_in_account_currency * new_exchange_rate)
gain_loss = flt(new_balance_in_base_currency, precision) - flt(d.balance, precision)
if gain_loss:
accounts.append({
"account": d.account,
"party_type": d.party_type,
"party": d.party,
"account_currency": d.account_currency,
"balance_in_base_currency": d.balance,
"balance_in_account_currency": d.balance_in_account_currency,
"current_exchange_rate": current_exchange_rate,
"new_exchange_rate": new_exchange_rate,
"new_balance_in_base_currency": new_balance_in_base_currency
})
if not accounts:
self.throw_invalid_response_message(account_details)
return accounts
def get_sorted_fields(doctype, custom_fields):
"""sort on basis of insert_after"""
fields_dict = dataent.get_meta(doctype).get("fields")
standard_fields_count = dataent.db.sql(
"""select count(name) from `tabDocField`
where parent=%s""", doctype)[0][0]
newlist = []
pending = [d.fieldname for d in fields_dict]
maxloops = len(custom_fields) + 20
while (pending and maxloops > 0):
maxloops -= 1
for fieldname in pending[:]:
if fieldname in custom_fields and len(
newlist) >= standard_fields_count:
# field already added
for n in newlist:
if n == custom_fields.get(fieldname):
newlist.insert(newlist.index(n) + 1, fieldname)
pending.remove(fieldname)
break
else:
newlist.append(fieldname)
pending.remove(fieldname)
# recurring at end
if pending:
newlist += pending
return newlist
def update_in_custom_field(self, df, i):
meta = dataent.get_meta(self.doc_type)
meta_df = meta.get("fields", {"fieldname": df.fieldname})
if not (meta_df and meta_df[0].get("is_custom_field")):
# not a custom field
return
custom_field = dataent.get_doc("Custom Field", meta_df[0].name)
changed = False
for property in docfield_properties:
if df.get(property) != custom_field.get(property):
if property == "fieldtype":
self.validate_fieldtype_change(df,
meta_df[0].get(property),
df.get(property))
custom_field.set(property, df.get(property))
changed = True
# check and update `insert_after` property
if i != 0:
insert_after = self.fields[i - 1].fieldname
if custom_field.insert_after != insert_after:
custom_field.insert_after = insert_after
custom_field.idx = i
changed = True
if changed:
custom_field.db_update()
self.flags.update_db = True
def before_print(self):
def toggle_print_hide(meta, fieldname):
df = meta.get_field(fieldname)
if self.get("print_without_amount"):
df.set("__print_hide", 1)
else:
df.delete_key("__print_hide")
item_meta = dataent.get_meta("Delivery Note Item")
print_hide_fields = {
"parent": [
"grand_total", "rounded_total", "in_words", "currency",
"total", "taxes"
],
"items": [
"rate", "amount", "discount_amount", "price_list_rate",
"discount_percentage"
]
}
for key, fieldname in print_hide_fields.items():
for f in fieldname:
toggle_print_hide(self.meta if key == "parent" else item_meta,
f)
super(DeliveryNote, self).before_print()
def apply_property_setters(self):
property_setters = dataent.db.sql(
"""select * from `tabProperty Setter` where
doc_type=%s""", (self.name, ),
as_dict=1)
if not property_setters: return
integer_docfield_properties = [
d.fieldname for d in dataent.get_meta('DocField').fields
if d.fieldtype in ('Int', 'Check')
]
for ps in property_setters:
if ps.doctype_or_field == 'DocType':
if ps.property_type in ('Int', 'Check'):
ps.value = cint(ps.value)
self.set(ps.property, ps.value)
else:
docfield = self.get("fields", {"fieldname": ps.field_name},
limit=1)
if docfield:
docfield = docfield[0]
else:
continue
if ps.property in integer_docfield_properties:
ps.value = cint(ps.value)
docfield.set(ps.property, ps.value)
def get_custom_docfield_properties():
fields_meta = dataent.get_meta('Custom Field').fields
fields = {}
for d in fields_meta:
fields[d.fieldname] = d.fieldtype
return fields
def create_custom_field_for_workflow_state(self):
dataent.clear_cache(doctype=self.document_type)
meta = dataent.get_meta(self.document_type)
if not meta.get_field(self.workflow_state_field):
# create custom field
dataent.get_doc({
"doctype":
"Custom Field",
"dt":
self.document_type,
"__islocal":
1,
"fieldname":
self.workflow_state_field,
"label":
self.workflow_state_field.replace("_", " ").title(),
"hidden":
1,
"allow_on_submit":
1,
"no_copy":
1,
"fieldtype":
"Link",
"options":
"Workflow State",
"owner":
"Administrator"
}).save()
dataent.msgprint(
_("Created Custom Field {0} in {1}").format(
self.workflow_state_field, self.document_type))
def get_app_settings(app_details):
parameters = {}
doctype = docname = app_details["doctype"]
app_settings = get_parameters(app_details)
if app_settings:
settings = app_settings["settings"]
dataent.reload_doc(
"integrations", "doctype",
"{0}_settings".format(app_details["service_name"].lower()))
controller = dataent.get_meta("{0} Settings".format(
app_details["service_name"]))
for d in controller.fields:
if settings.get(d.fieldname):
if ''.join(set(cstr(settings.get(d.fieldname)))) == '*':
setattr(
settings, d.fieldname,
get_decrypted_password(doctype,
docname,
d.fieldname,
raise_exception=True))
parameters.update({d.fieldname: settings.get(d.fieldname)})
return parameters
def check_duplicate(self):
parent = list(
set(
dataent.db.sql_list(
"""select dt.name
from `tabDocField` df, `tabDocType` dt
where dt.name = df.parent and df.fieldname='naming_series' and dt.name != %s""",
self.select_doc_for_series) + dataent.db.sql_list(
"""select dt.name
from `tabCustom Field` df, `tabDocType` dt
where dt.name = df.dt and df.fieldname='naming_series' and dt.name != %s""",
self.select_doc_for_series)))
sr = [[dataent.get_meta(p).get_field("naming_series").options, p]
for p in parent]
dt = dataent.get_doc("DocType", self.select_doc_for_series)
options = self.scrub_options_list(self.set_options.split("\n"))
for series in options:
dt.validate_series(series)
for i in sr:
if i[0]:
existing_series = [
d.split('.')[0] for d in i[0].split("\n")
]
if series.split(".")[0] in existing_series:
dataent.throw(
_("Series {0} already used in {1}").format(
series, i[1]))
def quick_kanban_board(doctype, board_name, field_name, project=None):
'''Create new KanbanBoard quickly with default options'''
doc = dataent.new_doc('Kanban Board')
meta = dataent.get_meta(doctype)
options = ''
for field in meta.fields:
if field.fieldname == field_name:
options = field.options
columns = []
if options:
columns = options.split('\n')
for column in columns:
if not column:
continue
doc.append("columns", dict(
column_name=column
))
doc.kanban_board_name = board_name
doc.reference_doctype = doctype
doc.field_name = field_name
if project:
doc.filters = '[["Task","project","=","{0}"]]'.format(project)
if doctype in ['Note', 'ToDo']:
doc.private = 1
doc.save()
return doc
def fetch_to_customize(self):
self.clear_existing_doc()
if not self.doc_type:
return
meta = dataent.get_meta(self.doc_type)
if self.doc_type in core_doctypes_list:
return dataent.msgprint(_("Core DocTypes cannot be customized."))
if meta.issingle:
return dataent.msgprint(_("Single DocTypes cannot be customized."))
if meta.custom:
return dataent.msgprint(
_("Only standard DocTypes are allowed to be customized from Customize Form."
))
# doctype properties
for property in doctype_properties:
self.set(property, meta.get(property))
for d in meta.get("fields"):
new_d = {
"fieldname": d.fieldname,
"is_custom_field": d.get("is_custom_field"),
"name": d.name
}
for property in docfield_properties:
new_d[property] = d.get(property)
self.append("fields", new_d)
# load custom translation
translation = self.get_name_translation()
self.label = translation.target_name if translation else ''
def get_price_list_rate(args, item_doc, out):
meta = dataent.get_meta(args.parenttype or args.doctype)
if meta.get_field("currency") or args.get('currency'):
pl_details = get_price_list_currency_and_exchange_rate(args)
args.update(pl_details)
validate_price_list(args)
if meta.get_field("currency"):
validate_conversion_rate(args, meta)
price_list_rate = get_price_list_rate_for(args, item_doc.name) or 0
# variant
if not price_list_rate and item_doc.variant_of:
price_list_rate = get_price_list_rate_for(args, item_doc.variant_of)
# insert in database
if not price_list_rate:
if args.price_list and args.rate:
insert_item_price(args)
return {}
out.price_list_rate = flt(price_list_rate) * flt(args.plc_conversion_rate) \
/ flt(args.conversion_rate)
if not out.price_list_rate and args.transaction_type=="buying":
from epaas.stock.doctype.item.item import get_last_purchase_details
out.update(get_last_purchase_details(item_doc.name,
args.name, args.conversion_rate))
def get_dynamic_link_map(for_delete=False):
'''Build a map of all dynamically linked tables. For example,
if Note is dynamically linked to ToDo, the function will return
`{"Note": ["ToDo"], "Sales Invoice": ["Journal Entry Detail"]}`
Note: Will not map single doctypes
'''
if getattr(dataent.local, 'dynamic_link_map',
None) == None or dataent.flags.in_test:
# Build from scratch
dynamic_link_map = {}
for df in get_dynamic_links():
meta = dataent.get_meta(df.parent)
if meta.issingle:
# always check in Single DocTypes
dynamic_link_map.setdefault(meta.name, []).append(df)
else:
links = dataent.db.sql_list(
"""select distinct {options} from `tab{parent}`""".format(
**df))
for doctype in links:
dynamic_link_map.setdefault(doctype, []).append(df)
dataent.local.dynamic_link_map = dynamic_link_map
return dataent.local.dynamic_link_map
def get_linked_doctypes(doctype): from dataent.permissions import get_linked_doctypes linked_doctypes = get_linked_doctypes(doctype) child_doctypes = [d.options for d in dataent.get_meta(doctype).get_table_fields()] for child_dt in child_doctypes: linked_doctypes += get_linked_doctypes(child_dt) return linked_doctypes
def get_role_permissions(doctype_meta, user=None):
"""
Returns dict of evaluated role permissions like
{
"read": 1,
"write": 0,
// if "if_owner" is enabled
"if_owner":
{
"read": 1,
"write": 0
}
}
"""
if isinstance(doctype_meta, string_types):
doctype_meta = dataent.get_meta(
doctype_meta) # assuming doctype name was passed
if not user: user = dataent.session.user
cache_key = (doctype_meta.name, user)
if user == 'Administrator':
return allow_everything()
if not dataent.local.role_permissions.get(cache_key):
perms = dataent._dict(if_owner={})
roles = dataent.get_roles(user)
def is_perm_applicable(perm):
return perm.role in roles and cint(perm.permlevel) == 0
def has_permission_without_if_owner_enabled(ptype):
return any(
p.get(ptype, 0) and not p.get('if_owner', 0)
for p in applicable_permissions)
applicable_permissions = list(
filter(is_perm_applicable, getattr(doctype_meta, 'permissions',
[])))
has_if_owner_enabled = any(
p.get('if_owner', 0) for p in applicable_permissions)
for ptype in rights:
pvalue = any(p.get(ptype, 0) for p in applicable_permissions)
# check if any perm object allows perm type
perms[ptype] = cint(pvalue)
if (pvalue and has_if_owner_enabled
and not has_permission_without_if_owner_enabled(ptype)
and ptype != 'create'):
perms['if_owner'][ptype] = 1
# has no access if not owner
# only provide read access so that user is able to at-least access list
# (and the documents will be filtered based on owner sin further checks)
perms[ptype] = 1 if ptype == 'read' else 0
dataent.local.role_permissions[cache_key] = perms
return dataent.local.role_permissions[cache_key]
def setup_perms_for(doctype):
perms = dataent.get_all('DocPerm',
fields='*',
filters=dict(parent=doctype),
order_by='idx asc')
# get default perms
try:
standard_perms = get_standard_permissions(doctype)
except (IOError, KeyError):
# no json file, doctype no longer exists!
return
same = True
if len(standard_perms) != len(perms):
same = False
else:
for i, p in enumerate(perms):
standard = standard_perms[i]
for fieldname in dataent.get_meta(
'DocPerm').get_fieldnames_with_value():
if p.get(fieldname) != standard.get(fieldname):
same = False
break
if not same:
break
if not same:
setup_custom_perms(doctype)
def validate_applicable_charges_for_item(self):
based_on = self.distribute_charges_based_on.lower()
total = sum([flt(d.get(based_on)) for d in self.get("items")])
if not total:
dataent.throw(
_("Total {0} for all items is zero, may be you should change 'Distribute Charges Based On'"
).format(based_on))
total_applicable_charges = sum(
[flt(d.applicable_charges) for d in self.get("items")])
precision = get_field_precision(dataent.get_meta(
"Landed Cost Item").get_field("applicable_charges"),
currency=dataent.get_cached_value(
'Company', self.company,
"default_currency"))
diff = flt(
self.total_taxes_and_charges) - flt(total_applicable_charges)
diff = flt(diff, precision)
if abs(diff) < (2.0 / (10**precision)):
self.items[-1].applicable_charges += diff
else:
dataent.throw(
_("Total Applicable Charges in Purchase Receipt Items table must be same as Total Taxes and Charges"
))
def trim_tables(doctype=None):
"""
Removes database fields that don't exist in the doctype (json or custom field). This may be needed
as maintenance since removing a field in a DocType doesn't automatically
delete the db field.
"""
ignore_fields = default_fields + optional_fields
filters = {"issingle": 0}
if doctype:
filters["name"] = doctype
for doctype in dataent.db.get_all("DocType", filters=filters):
doctype = doctype.name
columns = dataent.db.get_table_columns(doctype)
fields = dataent.get_meta(doctype).get_fieldnames_with_value()
columns_to_remove = [
f for f in list(set(columns) - set(fields))
if f not in ignore_fields and not f.startswith("_")
]
if columns_to_remove:
print(doctype, "columns removed:", columns_to_remove)
columns_to_remove = ", ".join(
["drop `{0}`".format(c) for c in columns_to_remove])
query = """alter table `tab{doctype}` {columns}""".format(
doctype=doctype, columns=columns_to_remove)
dataent.db.sql_ddl(query)
def precision(self, fieldname, parentfield=None):
"""Returns float precision for a particular field (or get global default).
:param fieldname: Fieldname for which precision is required.
:param parentfield: If fieldname is in child table."""
from dataent.model.meta import get_field_precision
if parentfield and not isinstance(parentfield, string_types):
parentfield = parentfield.parentfield
cache_key = parentfield or "main"
if not hasattr(self, "_precision"):
self._precision = dataent._dict()
if cache_key not in self._precision:
self._precision[cache_key] = dataent._dict()
if fieldname not in self._precision[cache_key]:
self._precision[cache_key][fieldname] = None
doctype = self.meta.get_field(
parentfield).options if parentfield else self.doctype
df = dataent.get_meta(doctype).get_field(fieldname)
if df.fieldtype in ("Currency", "Float", "Percent"):
self._precision[cache_key][fieldname] = get_field_precision(
df, self)
return self._precision[cache_key][fieldname]
def get_html_and_style(doc,
name=None,
print_format=None,
meta=None,
no_letterhead=None,
trigger_print=False,
style=None):
"""Returns `html` and `style` of print format, used in PDF etc"""
if isinstance(doc, string_types) and isinstance(name, string_types):
doc = dataent.get_doc(doc, name)
if isinstance(doc, string_types):
doc = dataent.get_doc(json.loads(doc))
print_format = get_print_format_doc(print_format,
meta=meta
or dataent.get_meta(doc.doctype))
return {
"html":
get_html(doc,
name=name,
print_format=print_format,
meta=meta,
no_letterhead=no_letterhead,
trigger_print=trigger_print),
"style":
get_print_style(style=style, print_format=print_format)
}
def get_events(doctype, start, end, field_map, filters=None, fields=None):
field_map = dataent._dict(json.loads(field_map))
doc_meta = dataent.get_meta(doctype)
for d in doc_meta.fields:
if d.fieldtype == "Color":
field_map.update({"color": d.fieldname})
if filters:
filters = json.loads(filters or '')
if not fields:
fields = [field_map.start, field_map.end, field_map.title, 'name']
if field_map.color:
fields.append(field_map.color)
start_date = "ifnull(%s, '0000-00-00 00:00:00')" % field_map.start
end_date = "ifnull(%s, '2199-12-31 00:00:00')" % field_map.end
filters += [
[doctype, start_date, '<=', end],
[doctype, end_date, '>=', start],
]
return dataent.get_list(doctype, fields=fields, filters=filters)