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How to use dict_formatter method in yandex-tank

Best Python code snippet using yandex-tank

comment_scraper.py

Source:comment_scraper.py

...5import re6from pathlib import Path7class GetComments():8    """Class containing every function for obtaining reddit comment data."""9    def dict_formatter(variable: object,10                       input_text: str,11                       fail_return: object,12                       slice: int = 0):13        """14        Format data that is inserted into a Pandas DataFrame.15        Used to clean and format data that will be placed into a Pandas16        DataFrame by the comment_date() function.17        Args:18            variable: An object, primarily a dictionary obtained by using19                the requests .json() method. type: dict or None20            input_text: The dictionary key name that will be passed21                into the variable if there is a variable. type: str or None22            fail_return: The function returns this if the formatting failed.23                type: object24            slice: An integer representing where the variable key's value25                will be sliced if there is a variable. type: int26        Returns:27            String that will be the dictionary keys value.28        """29        invalid = ['[deleted]', '[removed]']30        if slice:31            return variable[input_text][slice:] if input_text in\32                variable.keys() and variable[input_text] not in\33                invalid else fail_return34        elif not slice and variable:35            return variable[input_text] if input_text in variable.keys()\36                and variable[input_text] not in invalid else fail_return37        elif not variable and not slice:38            return input_text if input_text not in invalid else fail_return39    def comment_data(request: dict) -> pd.core.frame.DataFrame:40        """41        Create a formatted list of dictionaries of comment data.42        Args:43            request: A dictionary obtained from the requests library44                using the .json() method. type: dict45        Returns:46            pd.DataFrame(comment_list), num_comments: A tuple of a47                Pandas DataFrame object and an integer representation48                for the number of comments retrieved.49                type: pandas.core.frame.DataFrame, int50        """51        num_comments = 052        comment_list = []53        for request in request.get('data'):54            comment_body = request['body'].replace('\n', ' ')\55                                          .encode('ascii', 'ignore')\56                                          .decode()57            comment_body = re.sub(r' +', ' ', comment_body).strip()58            comment_list.append(59                {'comment_id': GetComments.dict_formatter(60                     request, 'id', None),61                 'submission_id': GetComments.dict_formatter(62                     request, 'link_id', None, 3),63                 'subreddit': GetComments.dict_formatter(64                     request, 'subreddit', None),65                 'subreddit_id': GetComments.dict_formatter(66                     request, 'subreddit_id', None, 3),67                 'author_id': GetComments.dict_formatter(68                     request, 'author_fullname', None, 3),69                 'author': GetComments.dict_formatter(70                     request, 'author', None),71                 'dt': GetComments.dict_formatter(72                     request, 'created_utc', 0),73                 'score': GetComments.dict_formatter(74                     request, 'score', None),75                 'awards_received': GetComments.dict_formatter(76                     request, 'total_awards_received', 0),77                 'body': GetComments.dict_formatter(78                     None, comment_body, None),79                 'parent_id': GetComments.dict_formatter(80                     request, 'parent_id', None, 3)})81            num_comments += 182        return pd.DataFrame(comment_list), num_comments83    def get_comments(df: pd.core.frame.DataFrame) -> int:84        """85        Retrieve all comments from submissions in a Pandas DataFrame.86        Uses the pushshift API to retrieve every comment for a87        submission. The function retrieves 10000 comments at a time88        until there are no comments remaining for the submission.89        Args:90            df: A Pandas DataFrame containing an id, title, and date91                for every submisson that is pending comment retrieval.92                type: pandas.core.frame.DataFrame93        Returns:...

typefmt.py

Source:typefmt.py

...41        :param value:42            Value to check43    """44    return value.name45def dict_formatter(view, value):46    """47        Removes unicode entities when displaying dict as string. Also unescapes48        non-ASCII characters stored in the JSON.49        :param value:50            Dict to convert to string51    """52    return json.dumps(value, ensure_ascii=False)53BASE_FORMATTERS = {54    type(None): empty_formatter,55    bool: bool_formatter,56    list: list_formatter,57    dict: dict_formatter,58}59EXPORT_FORMATTERS = {...

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