Files
httprunner/httprunner/loader/load.py
2020-05-14 14:21:35 +08:00

219 lines
5.5 KiB
Python

import csv
import io
import json
import os
import types
import yaml
from loguru import logger
from httprunner import builtin
from httprunner import exceptions, utils
from httprunner.loader.locate import get_project_working_directory
try:
# PyYAML version >= 5.1
# ref: https://github.com/yaml/pyyaml/wiki/PyYAML-yaml.load(input)-Deprecation
yaml.warnings({"YAMLLoadWarning": False})
except AttributeError:
pass
def _load_yaml_file(yaml_file):
""" load yaml file and check file content format
"""
with io.open(yaml_file, "r", encoding="utf-8") as stream:
try:
yaml_content = yaml.load(stream)
except yaml.YAMLError as ex:
logger.error(str(ex))
raise exceptions.FileFormatError
return yaml_content
def _load_json_file(json_file):
""" load json file and check file content format
"""
with io.open(json_file, encoding="utf-8") as data_file:
try:
json_content = json.load(data_file)
except json.JSONDecodeError:
err_msg = f"JSONDecodeError: JSON file format error: {json_file}"
logger.error(err_msg)
raise exceptions.FileFormatError(err_msg)
return json_content
def load_csv_file(csv_file):
""" load csv file and check file content format
Args:
csv_file (str): csv file path, csv file content is like below:
Returns:
list: list of parameters, each parameter is in dict format
Examples:
>>> cat csv_file
username,password
test1,111111
test2,222222
test3,333333
>>> load_csv_file(csv_file)
[
{'username': 'test1', 'password': '111111'},
{'username': 'test2', 'password': '222222'},
{'username': 'test3', 'password': '333333'}
]
"""
if not os.path.isabs(csv_file):
pwd = get_project_working_directory()
# make compatible with Windows/Linux
csv_file = os.path.join(pwd, *csv_file.split("/"))
if not os.path.isfile(csv_file):
# file path not exist
raise exceptions.CSVNotFound(csv_file)
csv_content_list = []
with io.open(csv_file, encoding="utf-8") as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
csv_content_list.append(row)
return csv_content_list
def load_file(file_path):
if not os.path.isfile(file_path):
raise exceptions.FileNotFound(f"{file_path} does not exist.")
file_suffix = os.path.splitext(file_path)[1].lower()
if file_suffix == ".json":
return _load_json_file(file_path)
elif file_suffix in [".yaml", ".yml"]:
return _load_yaml_file(file_path)
elif file_suffix == ".csv":
return load_csv_file(file_path)
else:
# '' or other suffix
logger.warning(f"Unsupported file format: {file_path}")
return []
def load_folder_files(folder_path, recursive=True):
""" load folder path, return all files endswith yml/yaml/json in list.
Args:
folder_path (str): specified folder path to load
recursive (bool): load files recursively if True
Returns:
list: files endswith yml/yaml/json
"""
if isinstance(folder_path, (list, set)):
files = []
for path in set(folder_path):
files.extend(load_folder_files(path, recursive))
return files
if not os.path.exists(folder_path):
return []
file_list = []
for dirpath, dirnames, filenames in os.walk(folder_path):
filenames_list = []
for filename in filenames:
if not filename.endswith((".yml", ".yaml", ".json")):
continue
filenames_list.append(filename)
for filename in filenames_list:
file_path = os.path.join(dirpath, filename)
file_list.append(file_path)
if not recursive:
break
return file_list
def load_dot_env_file(dot_env_path):
""" load .env file.
Args:
dot_env_path (str): .env file path
Returns:
dict: environment variables mapping
{
"UserName": "debugtalk",
"Password": "123456",
"PROJECT_KEY": "ABCDEFGH"
}
Raises:
exceptions.FileFormatError: If .env file format is invalid.
"""
if not os.path.isfile(dot_env_path):
return {}
logger.info(f"Loading environment variables from {dot_env_path}")
env_variables_mapping = {}
with io.open(dot_env_path, "r", encoding="utf-8") as fp:
for line in fp:
# maxsplit=1
if "=" in line:
variable, value = line.split("=", 1)
elif ":" in line:
variable, value = line.split(":", 1)
else:
raise exceptions.FileFormatError(".env format error")
env_variables_mapping[variable.strip()] = value.strip()
utils.set_os_environ(env_variables_mapping)
return env_variables_mapping
def load_module_functions(module):
""" load python module functions.
Args:
module: python module
Returns:
dict: functions mapping for specified python module
{
"func1_name": func1,
"func2_name": func2
}
"""
module_functions = {}
for name, item in vars(module).items():
if isinstance(item, types.FunctionType):
module_functions[name] = item
return module_functions
def load_builtin_functions():
""" load builtin module functions
"""
return load_module_functions(builtin)