def import_csv(dataset, url, args):
"""
Import the csv data into the dataset
"""
csv_data_url, source_url = url
source = Source(dataset, shell_account(),
csv_data_url)
# Analyse the csv data and add it to the source
# If we don't analyse it we'll be left with a weird message
source.analysis = analyze_csv(csv_data_url)
# Check to see if the dataset already has this source
for source_ in dataset.sources:
if source_.url == csv_data_url:
source = source_
break
db.session.add(source)
db.session.commit()
dataset.generate()
importer = CSVImporter(source)
importer.run(**vars(args))
# Check if imported from the file system (source and data url differ)
if csv_data_url != source_url:
# If we did, then we must update the source url based on the
# sources in the dataset model (so we need to fetch the source again
# or else we'll add a new one)
source = Source.by_id(source.id)
source.url = source_url
db.session.commit()
def import_csv(dataset, url, args):
"""
Import the csv data into the dataset
"""
csv_data_url, source_url = url
source = Source(dataset, shell_account(), csv_data_url)
# Analyse the csv data and add it to the source
# If we don't analyse it we'll be left with a weird message
source.analysis = analyze_csv(csv_data_url)
# Check to see if the dataset already has this source
for source_ in dataset.sources:
if source_.url == csv_data_url:
source = source_
break
db.session.add(source)
db.session.commit()
dataset.generate()
importer = CSVImporter(source)
importer.run(**vars(args))
# Check if imported from the file system (source and data url differ)
if csv_data_url != source_url:
# If we did, then we must update the source url based on the
# sources in the dataset model (so we need to fetch the source again
# or else we'll add a new one)
source = Source.by_id(source.id)
source.url = source_url
db.session.commit()
def _get_run(self, dataset, source, id):
self._get_dataset(dataset)
require.dataset.update(c.dataset)
c.source = Source.by_id(source)
if c.source is None or c.source.dataset != c.dataset:
abort(404, _("There is no source '%s'") % source)
c.run = Run.by_id(id)
if c.run is None or c.run.source != c.source:
abort(404, _("There is no run '%s'") % id)
def get_run(dataset, source, id):
dataset = get_dataset(dataset)
source = obj_or_404(Source.by_id(source))
if source.dataset != dataset:
raise BadRequest("There was no source")
run = obj_or_404(Run.by_id(id))
if run.source != source:
raise BadRequest("There is no run %s" % str(id))
return dataset, source, run
def _get_run(self, dataset, source, id):
self._get_dataset(dataset)
require.dataset.update(c.dataset)
c.source = Source.by_id(source)
if c.source is None or c.source.dataset != c.dataset:
abort(404, _("There is no source '%s'") % source)
c.run = Run.by_id(id)
if c.run is None or c.run.source != c.source:
abort(404, _("There is no run '%s'") % id)
def get_run(dataset, source, id):
dataset = get_dataset(dataset)
require.dataset.update(dataset)
source = obj_or_404(Source.by_id(source))
if source.dataset != dataset:
raise BadRequest("There was no source")
run = obj_or_404(Run.by_id(id))
if run.source != source:
raise BadRequest("There is no run '" + str(id) + '")
return dataset, source, run
def check_column(source_id, columnkey, columnvalue):
with flask_app.app_context():
source = Source.by_id(source_id)
sourcerefine = source.get_or_create_ORProject()
#should cache this at some point
sourcefile_export = sourcerefine.refineproj.export()
#remove BOM from the source file
s = sourcefile_export.read()
u = s.decode("utf-8-sig")
sourcefile = io.BytesIO()
sourcefile.write(str(u))
sourcefile_csv = csv.DictReader(sourcefile, delimiter="\t")
arrayset = []
for row in sourcefile_csv:
print row[columnvalue]
arrayset.append(row[columnvalue])
sourcefile.close()
returnval = {"errors": [], "message": "There was an unexpected error"}
if columnkey == "country_level0":
temp_geom_countries = db.session.query("country").from_statement(
text(
"SELECT geometry__country_level0.label as country FROM public.geometry__country_level0 "
)).all()
geom_countries = [y for x in temp_geom_countries for y in x]
temp_geom_countries = None
returnval['message'] = "The following countries were not found:"
for country in arrayset:
#there is probably a better method that takes advantage of a sorted list
if country not in geom_countries:
#log as error
returnval['errors'].append(country)
elif columnkey == "time":
returnval['message'] = "Could not parse the following dates:"
for date_col in arrayset:
try:
parse(date_col)
except Exception, e:
returnval['errors'].append(date_col)
elif columnkey == "indicatorvalue":
returnval['message'] = "Could not parse the following values: "
for val_col in arrayset:
try:
float(val_col)
except:
returnval['errors'].append(val_col)
def analyze_source(source_id):
from openspending.model import meta as db
from openspending.model.source import Source
from openspending.importer.analysis import analyze_csv
source = Source.by_id(source_id)
if not source:
log.error("No such source: %s", source_id)
return
log.info("Analyzing: %s", source.url)
source.analysis = analyze_csv(source.url)
if 'error' in source.analysis:
log.error(source.analysis.get('error'))
else:
log.info("Columns: %r", source.analysis.get('columns'))
db.session.commit()
def check_column(source_id, columnkey, columnvalue):
# with flask_app.app_context():
source = Source.by_id(source_id)
sourcerefine = source.get_or_create_ORProject()
# should cache this at some point
sourcefile_export = sourcerefine.refineproj.export()
# remove BOM from the source file
s = sourcefile_export.read()
u = s.decode("utf-8-sig")
sourcefile = io.BytesIO()
sourcefile.write(str(u))
sourcefile_csv = csv.DictReader(sourcefile, delimiter="\t")
arrayset = []
for row in sourcefile_csv:
print row[columnvalue]
arrayset.append(row[columnvalue])
sourcefile.close()
returnval = {"errors": [], "message": "There was an unexpected error"}
if columnkey == "country_level0":
temp_geom_countries = (
db.session.query("country")
.from_statement(
text("SELECT geometry__country_level0.label as country FROM public.geometry__country_level0 ")
)
.all()
)
geom_countries = [y for x in temp_geom_countries for y in x]
temp_geom_countries = None
returnval["message"] = "The following countries were not found:"
for country in arrayset:
# there is probably a better method that takes advantage of a sorted list
if country not in geom_countries:
# log as error
returnval["errors"].append(country)
elif columnkey == "time":
returnval["message"] = "Could not parse the following dates:"
for date_col in arrayset:
try:
parse(date_col)
except Exception, e:
returnval["errors"].append(date_col)
def load_source(source_id, sample=False):
from openspending.model.source import Source
from openspending.importer import CSVImporter
source = Source.by_id(source_id)
if not source:
log.error("No such source: %s", source_id)
if not source.loadable:
log.error("Dataset has no mapping.")
return
source.dataset.generate()
importer = CSVImporter(source)
if sample:
importer.run(dry_run=True, max_lines=1000, max_errors=1000)
else:
importer.run()
index_dataset.delay(source.dataset.name)
def load_source(source_id, sample=False):
with flask_app.app_context():
source = Source.by_id(source_id)
if not source:
return log.error("No such source: %s", source_id)
if not source.dataset.mapping:
return log.error("Dataset has no mapping.")
#we should drop this first to make sure everything loads corrctly
source.model.drop()
source.model.generate()
importer = ORImporter(source)
if sample:
importer.run(dry_run=True, max_lines=1000, max_errors=1000)
else:
importer.run()
def load_source(source_id, sample=False):
# with flask_app.app_context():
source = Source.by_id(source_id)
if not source:
return log.error("No such source: %s", source_id)
if not source.dataset.mapping:
return log.error("Dataset has no mapping.")
# we should drop this first to make sure everything loads corrctly
source.model.drop()
source.model.generate()
importer = ORImporter(source)
if sample:
importer.run(dry_run=True, max_lines=1000, max_errors=1000)
else:
importer.run()
def load_budgetdatapackage(source_id, sample=False):
"""
Same as the CSV importer except that it uses the BudgetDataPackage
importer instead of the CSVImporter
"""
from openspending.model.source import Source
from openspending.importer import BudgetDataPackageImporter
source = Source.by_id(source_id)
if not source:
log.error("No such source: %s", source_id)
if not source.loadable:
log.error("Dataset has no mapping.")
return
source.dataset.generate()
importer = BudgetDataPackageImporter(source)
if sample:
importer.run(dry_run=True, max_lines=1000, max_errors=1000)
else:
importer.run()
index_dataset.delay(source.dataset.name)
def _get_source(self, dataset, id):
self._get_dataset(dataset)
c.source = Source.by_id(id)
if c.source is None or c.source.dataset != c.dataset:
abort(404, _("There is no source '%s'") % id)
def _get_source(self, dataset, id):
self._get_dataset(dataset)
c.source = Source.by_id(id)
if c.source is None or c.source.dataset != c.dataset:
abort(404, _("There is no source '%s'") % id)
