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"""""" The button for expanded detailed options. This
also happens to be a good indicator as to wheter
all content is loaded.
""""""
# Wait for a content element, and 3 extra seconds just in case
WebDriverWait(self.browser, PAGELOAD_TIMEOUT)\
.until(EC.presence_of_element_located((By.CLASS_NAME,
detailed_cls)))
self.browser.implicitly_wait(3)
self.browser\
.find_element_by_class_name(detailed_cls)\
.find_element_by_tag_name(""td"")\
.click()
# Wait for a content element, and 3 extra seconds just in case
WebDriverWait(self.browser, PAGELOAD_TIMEOUT)\
.until(EC.presence_of_element_located((By.CLASS_NAME,
detailed_cls)))
self.browser.implicitly_wait(3)"
1878,"def _fetch_dimensions(self, dataset):
"""""" Declaring available dimensions like this is not mandatory,
but nice, especially if they differ from dataset to dataset.
If you are using a built in datatype, you can specify the dialect
you are expecting, to have values normalized. This scraper will
look for Swedish month names (e.g. 'Januari'), but return them
according to the Statscraper standard ('january').
""""""
yield Dimension(u""region"",
label=""municipality or county"",
datatype=""region"",
dialect=""arbetsmiljoverket"")
yield Dimension(u""period"",
label=""Year or month"")"
1879,"def _fetch_itemslist(self, item):
"""""" We define two collection:
- Number of work injuries (""Arbetsolycka"")
- Number of workrelated diseases (""Arbetssjukdom"")
Each contains four datasets:
- Per municipality and year
- Per county and year
- Per municipality and month
- Per municipality and year
""""""
if item.is_root:
for c in [""Arbetsolycka"", ""Arbetssjukdom""]:
yield Collection(c, blob=(c, None, None))
else:
c = item.id
for r in [u""kommun"", u""län""]:
for p in [u""år"", u""månad""]:
yield Dataset(u""%s-%s-%s"" % (c, r, p),
blob=(c, r, p),
label=u""%s, antal per %s och %s"" % (c, r, p))"
1880,"def make_log_record_output(category, level, message,
format=None, datefmt=None, **kwargs):
""""""
Create the output for a log record, like performed by :mod:`logging` module.
:param category: Name of the logger (as string or None).
:param level: Log level (as number).
:param message: Log message to use.
:returns: Log record output (as string)
""""""
if not category or (category == ""__ROOT__""):
category = ""root""
levelname = logging.getLevelName(level)
record_data = dict(name=category, levelname=levelname, msg=message)
record_data.update(kwargs)
record = logging.makeLogRecord(record_data)
formatter = logging.Formatter(format, datefmt=datefmt)
return formatter.format(record)"
1881,"def step_I_create_logrecords_with_table(context):
""""""
Step definition that creates one more log records by using a table.
.. code-block: gherkin
When I create log records with:
| category | level | message |
| foo | ERROR | Hello Foo |
| foo.bar | WARN | Hello Foo.Bar |
Table description
------------------
| Column | Type | Required | Description |
| category | string | yes | Category (or logger) to use. |
| level | LogLevel | yes | Log level to use. |
| message | string | yes | Log message to use. |
.. code-block: python
import logging
from behave.configuration import LogLevel
for row in table.rows:
logger = logging.getLogger(row.category)
level = LogLevel.parse_type(row.level)
logger.log(level, row.message)