Q:

pytest-mock pathlib.Path.open

I need to mock pathlib.Path.open using pytest-mock.
The real open_func opens a yaml-file. The return value is a regular dict. How can I mock Path.open to just load another yaml-file called test-config.yaml?
My code is not working properly as conf will simply become a str ("test_config.yaml"). It should be a dict.
from pathlib import Path

import yaml

def open_func():
    with Path.open(Path("./config.yaml")) as f:
        return yaml.load(f, Loader=yaml.FullLoader)

def test_open_func(mocker):
    mocker.patch("pathlib.Path.open", mocker.mock_open(read_data="test_config.yaml"))
    conf = open_func()

    assert isinstance(conf, dict)

EDIT:
To get closer to my real world problem, I am providing the following code. I have a class TryToMock, that basically takes two files as inputs. The method load_files simply loads these files (which are actually .yaml files) and returns the output. These .yaml files are really some configuration files.
In my unit tests, I will be calling TryToMocknumerous times through pytest's parametrize. Therefore, I would like to load the original configuration files via a fixture. Then I am able to monkeypatch some entries in my various tests before running load_files.
In order not to load the original files again, I need to mock the Path.open function in TryToMock. I would like to pass the monkeypatched yaml files instead (i.e. in the form of a dict). The difficulty is that I must discriminate between the two files. That is I can't simply mock the Path.open function with the same file content.
# TryToMock.py

from pathlib import Path
import yaml

# In my current working folder, I have to .yaml files containing the following
# content for illustrative purpose:
#
# file1.yaml = {'name': 'test1', 'file_type': 'yaml'}
# file2.yaml = {'schema': 'test2', 'currencies': ['EUR', 'USD', 'JPY']}

class TryToMock:
    def __init__(self, file_to_mock_1, file_to_mock_2):
        self._file_to_mock_1 = file_to_mock_1
        self._file_to_mock_2 = file_to_mock_2

    def load_files(self):
        with Path.open(self._file_to_mock_1) as f:
            file1 = yaml.load(f, Loader=yaml.FullLoader)

        with Path.open(self._file_to_mock_2) as f:
            file2 = yaml.load(f, Loader=yaml.FullLoader)

        return file1, file2

# test_TryToMock.py

import os
from pathlib import Path

import pytest
import yaml

from tests import TryToMock

def yaml_files_for_test(yaml_content):
    names = {"file1.yaml": file1_content, "file2.yaml": file2_content}
    return os.path.join("./", names[os.path.basename(yaml_content)])

@pytest.fixture(scope="module")
def file1_content():
    with Path.open(Path("./file1.yaml")) as f:
        return yaml.load(f, Loader=yaml.FullLoader)

@pytest.fixture(scope="module")
def file2_content():
    with Path.open(Path("./file2.yaml")) as f:
        return yaml.load(f, Loader=yaml.FullLoader)

def test_try_to_mock(file1_content, file2_content, monkeypatch, mocker):
    file_1 = Path("./file1.yaml")
    file_2 = Path("./file2.yaml")

    m = TryToMock.TryToMock(file_to_mock_1=file_1, file_to_mock_2=file_2)

    # Change some items
    monkeypatch.setitem(file1_content, "file_type", "json")

    # Mocking - How does it work when I would like to use mock_open???
    # How should the lambda function look like?
    mocker.patch(
        "pathlib.Path.open",
        lambda x: mocker.mock_open(read_data=yaml_files_for_test(x)),
    )

    files = m.load_files()
    assert files[0]["file_type"] == "json"

A:

You have to provide the actual file contents to the read_data argument of mock_open. You can just create the data in your test:
test_yaml = """
foo:
  bar:
    - VAR: "MyVar"
"""

def test_open_func(mocker):
    mocker.patch("pathlib.Path.open", mocker.mock_open(read_data=test_yaml))
    conf = open_func()
    assert conf == {'foo': {'bar': [{'VAR': 'MyVar'}]}}

Or you can read the data from your test file:    
def test_open_func(mocker):
    with open("my_fixture_path/test.yaml") as f:
        contents = f.read()
    mocker.patch("pathlib.Path.open", mocker.mock_open(read_data=contents))
    conf = open_func()
    assert isinstance(conf, dict)

The last case can be also re-written to replace the path argument in the open call by your test path:
def test_open_func(mocker):
    mocker.patch("pathlib.Path.open", lambda path: open("test.yaml"))
    conf = open_func()
    assert isinstance(conf, dict)

or, if you have different test files for different configs, something like:
def yaml_path_for_test(yaml_path):
    names = {
        "config.yaml": "test.yaml",
        ...
    }
    return os.path.join(my_fixture_path, names[os.path.basename(yaml_path)])

def test_open_func3(mocker):
    mocker.patch("pathlib.Path.open", lambda path: open(yaml_path_for_test(path)))
    conf = open_func()
    assert isinstance(conf, dict)

This is probably what you wanted to achieve in your test code.
UPDATE:
This is related to the second part of the question (after the edit). If you have the module-scoped fixtures that preload the fixture files as in the question, you can do something like this:
def test_open_func(mocker, file1_content, file2_content):
    def yaml_files_for_test(path):
        contents = {"file1.yaml": file1_content,
                    "file2.yaml": file2_content}
        data = contents[os.path.basename(path)]
        mock = mocker.mock_open(read_data=yaml.dump(data))
        return mock.return_value

    mocker.patch("pathlib.Path.open", yaml_files_for_test)
    conf = open_func()
    assert isinstance(conf, dict)

or, if you prefer not to use nested functions: 
def yaml_files_for_test(path, mocker, content1, content2):
    contents = {"file1.yaml": content1,
                "file2.yaml": content2}
    data = contents[os.path.basename(path)]
    mock = mocker.mock_open(read_data=yaml.dump(data))
    return mock.return_value

def test_open_func5(mocker, file1_content, file2_content):
    mocker.patch("pathlib.Path.open",
                 lambda path: yaml_files_for_test(path, mocker,
                                                  file2_content, file2_content))
    conf = open_func()
    assert isinstance(conf, dict)

