Python os.environ() Examples

def setup_runtime_cross_template(env: dict, opts: RuntimeOpts, product: str, target: str, host_triple: str,
                target_triple: str, device_target: str, llvm: str, offsets_dumper_abi: str):
    CONFIGURE_FLAGS = [
        '--target=%s' % target_triple,
        '--with-cross-offsets=%s.h' % target_triple,
        '--with-llvm=%s/llvm-%s' % (opts.install_dir, llvm)
    ]

    env['_cross-runtime_%s-%s_CONFIGURE_FLAGS' % (product, target)] = CONFIGURE_FLAGS

    new_offsets_tool_path = '%s/mono/tools/offsets-tool/offsets-tool.py' % opts.mono_source_root
    old_offsets_tool_path = '%s/tools/offsets-tool-py/offsets-tool.py' % opts.mono_source_root

    old_offsets_tool = not os.path.isfile(new_offsets_tool_path)

    offsets_tool_env = None

    if old_offsets_tool:
        # Setup old offsets-tool-py if present (new location doesn't require setup)
        run_command('make', ['-C', '%s/tools/offsets-tool-py' % opts.mono_source_root, 'setup'], name='make offsets-tool-py')

        # Run offsets-tool in its virtual env
        virtualenv_vars = source('%s/tools/offsets-tool-py/offtool/bin/activate' % opts.mono_source_root)

        offsets_tool_env = os.environ.copy()
        offsets_tool_env.update(virtualenv_vars)

    build_dir = '%s/%s-%s-%s' % (opts.configure_dir, product, target, opts.configuration)
    mkdir_p(build_dir)

    run_command('python3', [
            old_offsets_tool_path if old_offsets_tool else new_offsets_tool_path,
            '--targetdir=%s/%s-%s-%s' % (opts.configure_dir, product, device_target, opts.configuration),
            '--abi=%s' % offsets_dumper_abi,
            '--monodir=%s' % opts.mono_source_root,
            '--outfile=%s/%s.h' % (build_dir, target_triple)
        ] + env['_%s-%s_OFFSETS_DUMPER_ARGS' % (product, target)],
        env=offsets_tool_env, name='offsets-tool')

    # Runtime template
    setup_runtime_template(env, opts, product, target, host_triple) 

def get_settings(self):
        """Return the DynamoDB aws-auto-remediate-settings table in a Python dict format
        
        Returns:
            dict -- aws-auto-remediate-settings table
        """
        settings = {}
        try:
            for record in boto3.client("dynamodb").scan(
                TableName=os.environ["SETTINGSTABLE"]
            )["Items"]:
                record_json = dynamodb_json.loads(record, True)
                settings[record_json["key"]] = record_json["value"]
        except:
            self.logging.error(
                f"Could not read DynamoDB table '{os.environ['SETTINGSTABLE']}'."
            )
            self.logging.error(sys.exc_info()[1])

        return settings 

def __init__(self, methodName, prop_file="models/grid_for_test.props"):
        super().__init__(methodName=methodName)

        self.pa = props.read_props(MODEL_NM, prop_file)

        # Now we create a forest environment for our agents to act within:
        if self.pa["user_type"] == props.WEB:
            self.pa["base_dir"] = os.environ["base_dir"]

        # Now we create a minimal environment for our agents to act within:
        self.env = ge.GridEnv("Test grid env",
                         self.pa["grid_width"],
                         self.pa["grid_height"],
                         torus=False,
                         model_nm=MODEL_NM,
                         preact=True,
                         postact=True,
                         props=self.pa)

        for i in range(self.pa["num_agents"]):
            self.env.add_agent(gm.TestGridAgent(name="agent" + str(i),
                                           goal="taking up a grid space!"))

        self.env.add_agent(gm.TestGridAgent(name="agent for tracking",
                                       goal="taking up a grid space!")) 

def find_executable(name) -> str:
    is_windows = os.name == 'nt'
    windows_exts = os.environ['PATHEXT'].split(ENV_PATH_SEP) if is_windows else None
    path_dirs = os.environ['PATH'].split(ENV_PATH_SEP)

    search_dirs = path_dirs + [os.getcwd()] # cwd is last in the list

    for dir in search_dirs:
        path = os.path.join(dir, name)

        if is_windows:
            for extension in windows_exts:
                path_with_ext = path + extension

                if os.path.isfile(path_with_ext) and os.access(path_with_ext, os.X_OK):
                    return path_with_ext
        else:
            if os.path.isfile(path) and os.access(path, os.X_OK):
                return path

    return '' 

def run_migrations_online():
    """Run migrations in 'online' mode.

    In this scenario we need to create an Engine
    and associate a connection with the context.

    """
    db_url = os.environ['DRYDOCK_DB_URL']

    connectable = engine_from_config(
        config.get_section(config.config_ini_section),
        prefix='sqlalchemy.',
        poolclass=pool.NullPool,
        url=db_url)

    with connectable.connect() as connection:
        context.configure(
            connection=connection, target_metadata=target_metadata)

        with context.begin_transaction():
            context.run_migrations() 

def put(args):
    if args.generate_ssh_key:
        ssh_key = new_ssh_key()
        buf = StringIO()
        ssh_key.write_private_key(buf)
        secret_value = buf.getvalue()
    elif args.secret_name in os.environ:
        secret_value = os.environ[args.secret_name]
    else:
        secret_value = sys.stdin.read()
    try:
        res = clients.secretsmanager.create_secret(Name=args.secret_name, SecretString=secret_value)
    except clients.secretsmanager.exceptions.ResourceExistsException:
        res = clients.secretsmanager.put_secret_value(SecretId=args.secret_name, SecretString=secret_value)
    if parse_principal(args):
        ensure_policy(parse_principal(args), res["ARN"])
    if args.generate_ssh_key:
        return dict(ssh_public_key=hostkey_line(hostnames=[], key=ssh_key).strip(),
                    ssh_key_fingerprint=key_fingerprint(ssh_key)) 

def get_VT_name(hashes):
    try:
        vt = PrivateApi(api_key = os.environ["VIRUSTOTAL_API_KEY"])
        generator = ComputeVtUniqueName()
        names = [generator.build_unique_name(vt.get_file_report(hash_) or "") for hash_ in hashes]
        if len(names) >= 2 and all(names[0] == name for name in names[1:]):
            name = names[0]
            if name["pup"]:
                log.error("PUA signatures are not implemented yet. Excpected name was: %s", str(name))
                pass
            else:
                return "{}.{}.{}".format(name["platform"], name["category"], name["unique_name"])
    except KeyError:
        log.warn("No VIRUSTOTAL_API_KEY specified. Falling back to generic name.")
    except Exception:
        log.exception("White trying to compute VT name. Falling back to generic name.")
    return GENERIC_CLAMAV_MALWARE_NAME 

def index(request):
    ctx = get_context(request)
    cname = os.environ["PORTAL_CNAME"]
    template_dir = get_app_template_dirs("templates/notebooks")[0]
    htmls = os.path.join(template_dir, cname, "*.html")
    ctx["notebooks"] = [
        p.split("/" + cname + "/")[-1].replace(".html", "") for p in glob(htmls)
    ]
    ctx["PORTAL_CNAME"] = cname
    ctx["landing_pages"] = []
    mask = ["project", "title", "authors", "is_public", "description", "urls"]
    client = Client(headers=get_consumer(request))  # sets/returns global variable
    entries = client.projects.get_entries(_fields=mask).result()["data"]
    for entry in entries:
        authors = entry["authors"].strip().split(",", 1)
        if len(authors) > 1:
            authors[1] = authors[1].strip()
        entry["authors"] = authors
        entry["description"] = entry["description"].split(".", 1)[0] + "."
        ctx["landing_pages"].append(
            entry
        )  # visibility governed by is_public flag and X-Consumer-Groups header
    return render(request, "home.html", ctx.flatten()) 

def from_environment(cls, context):
        """
        Create a new device from the process environment (as in
        :data:`os.environ`).

        This only works reliable, if the current process is called from an
        udev rule, and is usually used for tools executed from ``IMPORT=``
        rules.  Use this method to create device objects in Python scripts
        called from udev rules.

        ``context`` is the library :class:`Context`.

        Return a :class:`Device` object constructed from the environment.
        Raise :exc:`DeviceNotFoundInEnvironmentError`, if no device could be
        created from the environment.

        .. udevversion:: 152

        .. versionadded:: 0.18
        """
        device = context._libudev.udev_device_new_from_environment(context)
        if not device:
            raise DeviceNotFoundInEnvironmentError()
        return Device(context, device) 

def send_to_missing_remediation_topic(self, config_rule_name, config_payload):
        """Publishes a message onto the missing remediation SNS Topic. The topic should be subscribed to
        by administrators to be aware when their security remediations are not fully covered.
        
        Arguments:
            config_rule_name {string} -- AWS Config Rule name
            config_payload {dictionary} -- AWS Config Rule payload
        """
        client = boto3.client("sns")
        topic_arn = os.environ["MISSINGREMEDIATIONTOPIC"]

        try:
            client.publish(
                TopicArn=topic_arn,
                Message=json.dumps(config_payload),
                Subject=f"No remediation available for Config Rule '{config_rule_name}'",
            )
        except:
            self.logging.error(f"Could not publish to SNS Topic 'topic_arn'.") 

def get_settings(self):
        """Return the DynamoDB aws-auto-remediate-settings table in a Python dict format
        
        Returns:
            dict -- aws-auto-remediate-settings table
        """
        settings = {}
        try:
            for record in self.client_dynamodb.scan(
                TableName=os.environ["SETTINGSTABLE"]
            )["Items"]:
                record_json = dynamodb_json.loads(record, True)

                if "key" in record_json and "value" in record_json:
                    settings[record_json.get("key")] = record_json.get("value")
        except:
            self.logging.error(
                f"Could not read DynamoDB table '{os.environ['SETTINGSTABLE']}'."
            )
            self.logging.error(sys.exc_info()[1])

        return settings 

def test_invalid_table_schema(self, setup):
        """Tests retrieval of settings from DynamoDB with the wrong schema
        
        Arguments:
            setup {class} -- Instance of Setup class
        """
        os.environ["SETTINGSTABLE"] = "settings-table"

        setup.client_dynamodb.create_table(
            TableName="settings-table",
            KeySchema=[{"AttributeName": "id", "KeyType": "HASH"}],
            AttributeDefinitions=[{"AttributeName": "id", "AttributeType": "S"}],
            ProvisionedThroughput={"ReadCapacityUnits": 1, "WriteCapacityUnits": 1},
        )

        setup.client_dynamodb.put_item(
            TableName="settings-table", Item={"id": {"S": "123"}}
        )

        # test get_settings function
        assert setup.get_settings() == {} 

def _get_full_path(value):
		"""
			convert string to absolute normpath.

			@param value: some string to be converted
			@type value: basestring

			@return: absolute normpath
			@rtype: basestring
		"""
		assert isinstance(value, basestring)
		parent_directory, filename = os.path.split(value)
		if not parent_directory and not os.path.isfile(value):
			for path in os.environ["PATH"].split(os.pathsep):
				path = path.strip('"')
				exe_file = os.path.join(path, filename)
				if os.path.isfile(exe_file):
					value = exe_file
					break
		value = os.path.expanduser(value)
		value = os.path.normpath(value)
		value = os.path.abspath(value)
		return value 

def update_complete(self, client):
        logger.debug("Self update successful! Edit message")
        heroku_key = os.environ.get("heroku_api_token")
        herokufail = ("DYNO" in os.environ) and (heroku_key is None)
        if herokufail:
            logger.warning("heroku token not set")
            msg = self.strings["heroku_warning"]
        else:
            logger.debug("Self update successful! Edit message")
            msg = self.strings["success"] if random.randint(0, 10) != 0 else self.strings["success_meme"]
        if self.config["AUDIO"]:
            await client.send_file(self._db.get(__name__, "selfupdatechat"), STARTUP, caption=msg, voice_note=True)
            await client.delete_messages(self._db.get(__name__, "selfupdatechat"),
                                         [self._db.get(__name__, "selfupdatemsg")])
        else:
            await client.edit_message(self._db.get(__name__, "selfupdatechat"),
                                      self._db.get(__name__, "selfupdatemsg"), msg) 

def get_phones(arguments):
    """Get phones from the --token, --phone, and environment"""
    phones = set(arguments.phone if arguments.phone else [])
    phones.update(map(lambda f: f[18:-8],
                      filter(lambda f: f.startswith("friendly-telegram-") and f.endswith(".session"),
                             os.listdir(os.path.dirname(utils.get_base_dir())))))

    authtoken = os.environ.get("authorization_strings", False)  # for heroku
    if authtoken and not arguments.setup:
        try:
            authtoken = json.loads(authtoken)
        except json.decoder.JSONDecodeError:
            logging.warning("authtoken invalid")
            authtoken = False

    if arguments.setup or (arguments.tokens and not authtoken):
        authtoken = {}
    if arguments.tokens:
        for token in arguments.tokens:
            phone = sorted(phones).pop(0)
            phones.remove(phone)  # Handled seperately by authtoken logic
            authtoken.update(**{phone: token})
    return phones, authtoken 

def main():
    """
    Main application loop.
    """

    env = os.environ

    try:
        host = env['SYSLOG_SERVER']
        port = int(env['SYSLOG_PORT'])
        socktype = socket.SOCK_DGRAM if env['SYSLOG_PROTO'] == 'udp' \
            else socket.SOCK_STREAM
    except KeyError:
        sys.exit("SYSLOG_SERVER, SYSLOG_PORT and SYSLOG_PROTO are required.")

    handler = SysLogHandler(
        address=(host, port),
        socktype=socktype,
    )
    handler.setFormatter(PalletFormatter())

    for event_headers, event_data in supervisor_events(sys.stdin, sys.stdout):
        event = logging.LogRecord(
            name=event_headers['processname'],
            level=logging.INFO,
            pathname=None,
            lineno=0,
            msg=event_data,
            args=(),
            exc_info=None,
        )
        event.process = int(event_headers['pid'])
        handler.handle(event) 

def get_prop_from_env():
    global user_type
    try:
        user_type = os.environ[UTYPE]
    except KeyError:
# this can't be done before logging is set up!
#        logging.info("Environment variable user type not found")
        user_type = TERMINAL
    return user_type 

def __init__(self, model_nm, logfile=None, prop_dict=None,
                 loglevel=logging.INFO):
        """
        Loads and sets properties in the following order:
        1. The Database
        2. The User's Environment (operating system, dev/prod settings, etc.)
        3. Property File
        4. Command Line
        5. Questions Prompts During Run-Time
        """
        self.logfile = logfile
        self.model_nm = model_nm
        self.graph = nx.Graph()
        self.props = {}

        # 1. The Database
        self.set_props_from_db()

        # 2. The Environment
        self.overwrite_props_from_env()

        # 3. Property File
        self.overwrite_props_from_dict(prop_dict)

        if self.props[UTYPE].val in (TERMINAL, IPYTHON, IPYTHON_NB):
            # 4. process command line args and set them as properties:
            self.overwrite_props_from_cl()

            # 5. Ask the user questions.
            self.overwrite_props_from_user()

        elif self.props[UTYPE].val == WEB:
            self.props[PERIODS] = Prop(val=1)
            self.props[BASE_DIR] = Prop(val=os.environ[BASE_DIR])

        self.logger = Logger(self, model_name=model_nm, logfile=logfile)
        self.graph.add_edge(self, self.logger) 

def get_prop_from_env(prop_nm):
    global user_type
    try:
        user_type = os.environ['user_type']
    except KeyError:
# this can't be done before logging is set up!
#        logging.info("Environment variable user type not found")
        user_type = TERMINAL
    return user_type 

def run(prop_dict=None):
    pa = props.PropArgs.create_props(MODEL_NM, prop_dict)

    import indra.utils as utils
    import schelling.segregation as sm

    # set up some file names:
    (prog_file, log_file, prop_file, results_file) = utils.gen_file_names(MODEL_NM)
    # We store basic parameters in a "property" file; this allows us to save
    #  multiple parameter sets, which is important in simulation work.
    #  We can read these in from file or set them here.

    if pa["user_type"] == props.WEB:
        pa["base_dir"] = os.environ['base_dir']
        
    # Now we create an environment for our agents to act within:
    env = sm.SegregationEnv("A city",
                            pa["grid_width"],
                            pa["grid_height"],
                            model_nm=pa.model_nm,
                            props=pa)
    
    # Now we loop creating multiple agents with numbered names
    # based on the loop variable:
    for i in range(pa["num_B_agents"]):
        env.add_agent(sm.BlueAgent(name="Blue agent" + str(i),
                      goal="A good neighborhood.",
                      min_tol=pa['min_tolerance'],
                      max_tol=pa['max_tolerance'],
                      max_detect=pa['max_detect']))
        
    for i in range(pa["num_R_agents"]):
        env.add_agent(sm.RedAgent(name="Red agent" + str(i),
                      goal="A good neighborhood.",
                      min_tol=pa['min_tolerance'],
                      max_tol=pa['max_tolerance'],
                      max_detect=pa['max_detect']))
        
    return utils.run_model(env, prog_file, results_file) 

def run(prop_dict=None):
    pa = props.PropArgs.create_props(MODEL_NM, prop_dict)

    import indra.utils as utils
    import models.party as pm

    # set up some file names:
    (prog_file, log_file, prop_file,
     results_file) = utils.gen_file_names(MODEL_NM)
    # We store basic parameters in a "property" file; this allows us to save
    #  multiple parameter sets, which is important in simulation work.
    #  We can read these in from file or set them here.

    if pa["user_type"] == props.WEB:
        pa["base_dir"] = os.environ['base_dir']

    # Now we create an environment for our agents to act within:
    env = pm.PartyEnv("A cocktail party",
                            pa["grid_width"],
                            pa["grid_height"],
                            model_nm=pa.model_nm,
                            props=pa)

    # Now we loop creating multiple agents with numbered names
    # based on the loop variable:
    for i in range(pa["num_men"]):
        env.add_agent(pm.Man(name="Man" + str(i),
                      goal="A good party.",
                      tol=0.5,
                      max_detect=pa['max_detect']))

    for i in range(pa["num_women"]):
        env.add_agent(pm.Woman(name="Woman" + str(i),
                      goal="A good party.",
                      tol=0.5,
                      max_detect=pa['max_detect']))

    return utils.run_model(env, prog_file, results_file) 

def run(prop_dict=None):
    pa = props.PropArgs.create_props(MODEL_NM, prop_dict)

    import indra.utils as utils
    import indra.grid_env as ge
    import models.grid as gm
    (prog_file, log_file, prop_file, results_file) = utils.gen_file_names(MODEL_NM)

    if pa["user_type"] == props.WEB:
        pa["base_dir"] = os.environ["base_dir"]
    
    # Now we create a minimal environment for our agents to act within:
    env = ge.GridEnv("Test grid env",
                     pa["grid_width"],
                     pa["grid_height"],
                     torus=False,
                     model_nm=MODEL_NM,
                     preact=True,
                     postact=True,
                     props=pa)
    
    # Now we loop creating multiple agents with numbered names
    # based on the loop variable:
    for i in range(pa["num_agents"]):
        env.add_agent(gm.TestGridAgent(name="agent" + str(i),
                      goal="taking up a grid space!"))
    
    # let's test our iterator
    for cell in env:
        (x, y) = cell.coords
        logging.info("Contents of cell x = " + str(x)
              + " and y = " + str(y)
              + " is " + str(cell.contents))
        
    return utils.run_model(env, prog_file, results_file) 

def run(prop_dict=None):
    pa = props.PropArgs.create_props(MODEL_NM, prop_dict)

    import indra.utils as utils
    import models.forestfire as fm
    (prog_file, log_file, prop_file, results_file) = utils.gen_file_names(MODEL_NM)
    
    if pa["user_type"] == props.WEB:
        pa["base_dir"] = os.environ["base_dir"]
    
    grid_x = pa["grid_width"]
    grid_y = pa["grid_height"]
    density = pa["density"]

    # Now we create a forest environment for our agents to act within:
    env = fm.ForestEnv(grid_x,
                       grid_y,
                       density,
                       pa["strike_freq"],
                       pa["regen_period"],
                       model_nm=MODEL_NM,
                       torus=False,
                       props=pa)
    
    num_agents = int(grid_x * grid_y * density)
    
    for i in range(num_agents):
        env.add_agent(fm.Tree(name="tree" + str(i)))
    
    return utils.run_model(env, prog_file, results_file) 

def __init__(self, methodName, prop_file="models/party_for_test.props"):
        super().__init__(methodName=methodName)

        self.pa = props.read_props(MODEL_NM, prop_file)

        # Now we create a forest environment for our agents to act within:
        if self.pa["user_type"] == props.WEB:
            self.pa["base_dir"] = os.environ['base_dir']

        # Now we create an environment for our agents to act within:
        self.env = pm.PartyEnv("A cocktail party",
                          self.pa["grid_width"],
                          self.pa["grid_height"],
                          model_nm=self.pa.model_nm,
                          props=self.pa)

        for i in range(self.pa["num_men"]):
            self.env.add_agent(pm.Man(name="Man" + str(i),
                                 goal="A good party.",
                                 tol=0.5,
                                 max_detect=self.pa['max_detect']))

        for i in range(self.pa["num_women"]):
            self.env.add_agent(pm.Woman(name="Woman" + str(i),
                                   goal="A good party.",
                                   tol=0.5,
                                   max_detect=self.pa['max_detect']))

        self.env.add_agent(pm.Woman(name="Woman for tracking",
                                         goal="A good party.",
                                         tol=0.5,
                                         max_detect=self.pa['max_detect'])) 

def getHG19Ref(path=None):
    if path is not None:
        os.environ["SVVIZ_HG19_FASTA"] = path
        return path

    path = os.environ.get("SVVIZ_HG19_FASTA", None)
    assert os.path.exists(path), "Can't find hg19 reference fasta at path '{}'".format(path)

    return path 

def test_load_from_env(self):
        env_var = "XX_ACCESS_KEY"
        os.environ[env_var] = self.access_key_val
        access_key = AccessKey()
        access_key.load_from_env(env_var)
        self.assertEqual(access_key, self.access_key) 

def test_load_from_conf_env(self):
        os.environ[self.key_env_var] = self.access_key_val
        app_access_key = deepcopy(self.app_access_key)
        app_access_key.load_from_conf_env()
        self.assertEqual(app_access_key, self.access_key) 

def display_usage():
    """Displays contents of readme file."""
    current_dir = os.path.dirname(inspect.getfile(inspect.currentframe()))
    readme_path = os.path.abspath(os.path.join(current_dir, '..', 'README.md'))
    if not os.path.exists(readme_path):
        print("Could not find documentation file [expected at: {}]".format(readme_path))
        return -1
    if 'PAGER' in os.environ:
        cmd = [os.environ['PAGER'], readme_path]
        subprocess.run(cmd)
    else:
        with open(readme_path, 'r') as infile:
            for line in infile:
                print(line, end='')
    return 0 

def run_autogen(opts: RuntimeOpts):
    autogen_env = os.environ.copy()
    autogen_env['NOCONFIGURE'] = '1'

    if not find_executable('glibtoolize') and 'CUSTOM_GLIBTOOLIZE_PATH' in os.environ:
        autogen_env['PATH'] = os.environ['CUSTOM_GLIBTOOLIZE_PATH'] + ':' + autogen_env['PATH']

    run_command(os.path.join(opts.mono_source_root, 'autogen.sh'), cwd=opts.mono_source_root, env=autogen_env, name='autogen') 

def main():
    args = sys.argv[1:]
    os.environ['PYTHONPATH'] = boot_dir
    # 执行后面的 python 程序命令
    # sys.executable 是 python 解释器程序的绝对路径 ``which python``
    # >>> sys.executable
    # '/usr/local/var/pyenv/versions/3.5.1/bin/python3.5'
    os.execl(sys.executable, sys.executable, *args)