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# coding=utf-8
import inspect
import logging
import re
from collections import namedtuple
from typing import Pattern
from faker import Faker
from faker.config import AVAILABLE_LOCALES, DEFAULT_LOCALE
from faker.sphinx.validator import SampleCodeValidator
logger = logging.getLogger(__name__)
_fake = Faker(AVAILABLE_LOCALES)
_base_provider_method_pattern: Pattern = re.compile(r"^faker\.providers\.BaseProvider\.(?P<method>\w+)$")
_standard_provider_method_pattern: Pattern = re.compile(r"^faker\.providers\.\w+\.Provider\.(?P<method>\w+)$")
_locale_provider_method_pattern: Pattern = re.compile(
r"^faker\.providers\.\w+" r"\.(?P<locale>[a-z]{2,3}_[A-Z]{2})" r"\.Provider" r"\.(?P<method>\w+)$",
)
_sample_line_pattern: Pattern = re.compile(
r"^:sample" r"(?: size=(?P<size>[1-9][0-9]*))?" r"(?: seed=(?P<seed>[0-9]+))?" r":" r"(?: ?(?P<kwargs>.*))?$",
)
_command_template = "generator.{method}({kwargs})"
_sample_output_template = (
">>> Faker.seed({seed})\n"
">>> for _ in range({size}):\n"
"... fake.{method}({kwargs})\n"
"...\n"
"{results}\n\n"
)
DEFAULT_SAMPLE_SIZE = 5
DEFAULT_SEED = 0
Sample = namedtuple("Sample", ["size", "seed", "kwargs"])
class ProviderMethodDocstring:
"""
Class that preprocesses provider method docstrings to generate sample usage and output
Notes on how samples are generated:
- If the docstring belongs to a standard provider method, sample usage and output will be
generated using a `Faker` object in the `DEFAULT_LOCALE`.
- If the docstring belongs to a localized provider method, the correct locale will be used.
- If the docstring does not belong to any provider method, docstring preprocessing will be skipped.
- Docstring lines will be parsed for potential sample sections, and the generation details of each
sample section will internally be represented as a ``Sample`` namedtuple.
- Each ``Sample`` will have info on the keyword arguments to pass to the provider method, how many
times the provider method will be called, and the initial seed value to ``Faker.seed()``.
"""
def __init__(self, app, what, name, obj, options, lines):
self._line_iter = iter(lines)
self._parsed_lines = []
self._samples = []
self._skipped = True
self._log_prefix = f"{inspect.getfile(obj)}:docstring of {name}: WARNING:"
if what != "method":
return
base_provider_method_match = _base_provider_method_pattern.match(name)
locale_provider_method_match = _locale_provider_method_pattern.match(name)
standard_provider_method_match = _standard_provider_method_pattern.match(name)
if base_provider_method_match:
groupdict = base_provider_method_match.groupdict()
self._method = groupdict["method"]
self._locale = DEFAULT_LOCALE
elif standard_provider_method_match:
groupdict = standard_provider_method_match.groupdict()
self._method = groupdict["method"]
self._locale = DEFAULT_LOCALE
elif locale_provider_method_match:
groupdict = locale_provider_method_match.groupdict()
self._method = groupdict["method"]
self._locale = groupdict["locale"]
else:
return
self._skipped = False
self._parse()
self._generate_samples()
def _log_warning(self, warning):
logger.warning(f"{self._log_prefix} {warning}")
def _parse(self):
while True:
try:
line = next(self._line_iter)
except StopIteration:
break
else:
self._parse_section(line)
def _parse_section(self, section):
# No-op if section does not look like the start of a sample section
if not section.startswith(":sample"):
self._parsed_lines.append(section)
return
try:
next_line = next(self._line_iter)
except StopIteration:
# No more lines left to consume, so save current sample section
self._process_sample_section(section)
return
# Next line is the start of a new sample section, so process
# current sample section, and start parsing the new section
if next_line.startswith(":sample"):
self._process_sample_section(section)
self._parse_section(next_line)
# Next line is an empty line indicating the end of
# current sample section, so process current section
elif next_line == "":
self._process_sample_section(section)
# Section is assumed to be multiline, so continue
# adding lines to current sample section
else:
section = section + next_line
self._parse_section(section)
def _process_sample_section(self, section):
match = _sample_line_pattern.match(section)
# Discard sample section if malformed
if not match:
msg = f"The section `{section}` is malformed and will be discarded."
self._log_warning(msg)
return
# Set sample generation defaults and do some beautification if necessary
groupdict = match.groupdict()
size = groupdict.get("size")
seed = groupdict.get("seed")
kwargs = groupdict.get("kwargs")
size = max(int(size), DEFAULT_SAMPLE_SIZE) if size else DEFAULT_SAMPLE_SIZE
seed = int(seed) if seed else DEFAULT_SEED
kwargs = self._beautify_kwargs(kwargs) if kwargs else ""
# Store sample generation details
sample = Sample(size, seed, kwargs)
self._samples.append(sample)
def _beautify_kwargs(self, kwargs):
def _repl_whitespace(match):
quoted = match.group(1) or match.group(2)
return quoted if quoted else ""
def _repl_comma(match):
quoted = match.group(1) or match.group(2)
return quoted if quoted else ", "
# First, remove all whitespaces and tabs not within quotes
result = re.sub(r'("[^"]*")|(\'[^\']*\')|[ \t]+', _repl_whitespace, kwargs)
# Next, insert a whitespace after each comma not within quotes
result = re.sub(r'("[^"]*")|(\'[^\']*\')|,', _repl_comma, result)
# Then return the result with all leading and trailing whitespaces stripped
return result.strip()
def _stringify_result(self, value):
return repr(value)
def _generate_eval_scope(self):
from collections import OrderedDict # noqa: F401 Do not remove! The eval command needs this reference.
return {
"generator": _fake[self._locale],
"OrderedDict": OrderedDict,
}
def _inject_default_sample_section(self):
default_sample = Sample(DEFAULT_SAMPLE_SIZE, DEFAULT_SEED, "")
self._samples.append(default_sample)
def _generate_samples(self):
if not self._samples:
self._inject_default_sample_section()
output = ""
eval_scope = self._generate_eval_scope()
for sample in self._samples:
command = _command_template.format(method=self._method, kwargs=sample.kwargs)
validator = SampleCodeValidator(command)
if validator.errors:
msg = (
f"Invalid code elements detected. Sample generation will be "
f"skipped for method `{self._method}` with arguments `{sample.kwargs}`."
)
self._log_warning(msg)
continue
try:
Faker.seed(sample.seed)
results = "\n".join([self._stringify_result(eval(command, eval_scope)) for _ in range(sample.size)])
except Exception:
msg = f"Sample generation failed for method `{self._method}` with arguments `{sample.kwargs}`."
self._log_warning(msg)
continue
else:
output += _sample_output_template.format(
seed=sample.seed,
method=self._method,
kwargs=sample.kwargs,
size=sample.size,
results=results,
)
if output:
output = ":examples:\n\n" + output
self._parsed_lines.extend(output.split("\n"))
@property
def skipped(self):
return self._skipped
@property
def lines(self):
return self._parsed_lines