done

.gitignore

@@ -0,0 +1,161 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+.idea/
+.idea

README.md

@@ -31,6 +31,19 @@
 
 ## Автор решения
 
+Лаптев Максим Сергеевич
+
 ## Описание реализации
 
+Написан модуль `report.py`, содержащий класс `Report`. Помимо конструктора, принимающего как аргумент путь к файлу, он имеет 3 метода:
+* `_find_out_month` - статический метод для определения месяца из даты в формате строки
+* `__parse` - приватный метод для парсинга и обработки данных. На выходе имеем подсчитанные для каждого месяца пользовательские траты
+* `find_max_month` - метод формирования отчета, получения месяца с максимальной суммой пользователских трат
+
+Также написан файл `main.py` для запуска решения на тестовом файле `input.json`
+
 ## Инструкция по сборке и запуску решения
+
+```shell
+python main.py
+```

main.py

@@ -0,0 +1,6 @@
+from src.report import Report
+
+if __name__ == "__main__":
+    input_file_name = 'input.json'
+    report = Report(input_file_name)
+    print(report.find_max_month())

src/report.py

@@ -0,0 +1,57 @@
+import json
+from datetime import datetime
+
+
+class Report:
+    month_names = ["january", "february", "march", "april", "may", "june", "july", "august", "september",
+                   "october", "november", "december"]
+
+    def __init__(self, input_file: str):
+        """
+        Args:
+            input_file: str - path to input file
+        """
+        self.input_file = input_file
+
+    @staticmethod
+    def _find_out_month(timestamp: str) -> int:
+        """Find out month of timestamp
+
+        Args:
+            timestamp: str - datetime in string format
+
+        Returns:
+            month: int - month in timestamp
+        """
+        format_string = "%Y-%m-%dT%H:%M:%S.%f"
+        date = datetime.strptime(timestamp, format_string)
+        return date.month
+
+    def __parse(self) -> dict:
+        """Parse JSON file, count expenses and store it in a dictionary divided by months"""
+        months = {}
+        with open(self.input_file, "r") as f:
+            data = json.load(f)
+            for element in data:
+                # count only if order status is COMPLETED
+                if element['status'] == 'COMPLETED':
+                    cur_month = self._find_out_month(element['ordered_at'])
+                    # save user expense in dictionary by its month
+                    months[cur_month] = months.get(cur_month, 0) + float(element['total'])
+        return months
+
+    def find_max_month(self) -> dict:
+        """Find months with max user expenses
+
+        Returns:
+            Dictionary in format below
+            {'months': ['march', 'december']}
+        """
+        months = self.__parse()
+        # get max value of user expenses
+        max_value = max(months.values())
+        # find month numbers where value equals max_value
+        max_months_numbers = sorted([month for month, value in months.items() if value == max_value])
+        # convert numbers into month names
+        max_months_str = [self.month_names[index - 1] for index in max_months_numbers]
+        return {"months": max_months_str}