Python json.items方法代碼示例

# 需要導入模塊: import json [as 別名]
# 或者: from json import items [as 別名]
def _get_entity_recursive(json, entity):
    if not json:
        return None
    elif isinstance(json, dict):
        for key, value in json.items():
            if key == entity:
                return value
            # 'entities' and 'extended_entities' are wrappers in Twitter json
            # structure that contain other Twitter objects. See:
            # https://dev.twitter.com/overview/api/entities-in-twitter-objects

            if key == 'entities' or key == 'extended_entities':
                candidate = _get_entity_recursive(value, entity)
                if candidate is not None:
                    return candidate
        return None
    elif isinstance(json, list):
        for item in json:
            candidate = _get_entity_recursive(item, entity)
            if candidate is not None:
                return candidate
        return None
    else:
        return None 

# 需要導入模塊: import json [as 別名]
# 或者: from json import items [as 別名]
def _write_to_file(object_fields, items, entity_fields, writer):
    if not items:
        # it could be that the entity is just not present for the tweet
        # e.g. tweet hashtag is always present, even as [], however
        # tweet media may not be present
        return
    if isinstance(items, dict):
        # this happens e.g. for "place" of a tweet
        row = object_fields
        # there might be composed keys in de list of required fields
        entity_field_values = [x for x in entity_fields if not _is_composed_key(x)]
        entity_field_composed = [x for x in entity_fields if _is_composed_key(x)]
        for field in entity_field_values:
            value = items[field]
            if isinstance(value, list):
                row += value
            else:
                row += [value]
        # now check required dictionaries
        for d in entity_field_composed:
            kd, vd = _get_key_value_composed(d)
            json_dict = items[kd]
            if not isinstance(json_dict, dict):
                raise RuntimeError("""Key {0} does not contain a dictionary
                in the json file""".format(kd))
            row += [json_dict[vd]]
        writer.writerow(row)
        return
    # in general it is a list
    for item in items:
        row = object_fields + extract_fields(item, entity_fields)
        writer.writerow(row) 

# 需要導入模塊: import json [as 別名]
# 或者: from json import items [as 別名]
def _nix_eval_filter(json: Dict[str, Any]) -> List[Attr]:
    # workaround https://github.com/NixOS/ofborg/issues/269
    blacklist = set(
        ["tests.nixos-functions.nixos-test", "tests.nixos-functions.nixosTest-test"]
    )
    attr_by_path: Dict[str, Attr] = {}
    broken = []
    for name, props in json.items():
        attr = Attr(
            name=name,
            exists=props["exists"],
            broken=props["broken"],
            blacklisted=name in blacklist,
            path=props["path"],
            drv_path=props["drvPath"],
        )
        if attr.path is not None:
            other = attr_by_path.get(attr.path, None)
            if other is None:
                attr_by_path[attr.path] = attr
            else:
                if len(other.name) > len(attr.name):
                    attr_by_path[attr.path] = attr
                    attr.aliases.append(other.name)
                else:
                    other.aliases.append(attr.name)
        else:
            broken.append(attr)
    return list(attr_by_path.values()) + broken 

# 需要導入模塊: import json [as 別名]
# 或者: from json import items [as 別名]
def remove_url_keys_from_json(json):
    if isinstance(json, dict):
        return {key: remove_url_keys_from_json(value)
                for key, value in json.items()
                if not key.endswith('url')}
    elif isinstance(json, list):
        return [remove_url_keys_from_json(value) for value in json]
    else:
        return json 

# 需要導入模塊: import json [as 別名]
# 或者: from json import items [as 別名]
def _select_json_elements(self, keys, json):
        """
        Returns a dict filtered down to include only the selected keys.  Walks
        paths to handle nested dicts
        """
        ret = {}
        for k, v in json.items():
            if k in keys:
                ret[k] = v
            elif isinstance(v, dict):
                v = self._select_json_elements(keys, v)
                if v:
                    ret[k] = v
        return ret 

# 需要導入模塊: import json [as 別名]
# 或者: from json import items [as 別名]
def _write_to_file(object_fields, items, entity_fields, writer):
    if not items:
        # it could be that the entity is just not present for the tweet
        # e.g. tweet hashtag is always present, even as [], however
        # tweet media may not be present
        return
    if isinstance(items, dict):
        # this happens e.g. for "place" of a tweet
        row = object_fields
        # there might be composed keys in de list of required fields
        entity_field_values = [x for x in entity_fields if not _is_composed_key(x)]
        entity_field_composed = [x for x in entity_fields if _is_composed_key(x)]
        for field in entity_field_values:
            value = items[field]
            if isinstance(value, list):
                row += value
            else:
                row += [value]
        # now check required dictionaries
        for d in entity_field_composed:
            kd, vd = _get_key_value_composed(d)
            json_dict = items[kd]
            if not isinstance(json_dict, dict):
                raise RuntimeError(
                    """Key {0} does not contain a dictionary
                in the json file""".format(
                        kd
                    )
                )
            row += [json_dict[vd]]
        writer.writerow(row)
        return
    # in general it is a list
    for item in items:
        row = object_fields + extract_fields(item, entity_fields)
        writer.writerow(row) 

# 需要導入模塊: import json [as 別名]
# 或者: from json import items [as 別名]
def json2csv_entities(tweets_file, outfile, main_fields, entity_type, entity_fields,
                      encoding='utf8', errors='replace', gzip_compress=False):
    """
    Extract selected fields from a file of line-separated JSON tweets and
    write to a file in CSV format.

    This utility function allows a file of full Tweets to be easily converted
    to a CSV file for easier processing of Twitter entities. For example, the
    hashtags or media elements of a tweet can be extracted.

    It returns one line per entity of a Tweet, e.g. if a tweet has two hashtags
    there will be two lines in the output file, one per hashtag

    :param tweets_file: the file-like object containing full Tweets

    :param str outfile: The path of the text file where results should be\
    written

    :param list main_fields: The list of fields to be extracted from the main\
    object, usually the tweet. Useful examples: 'id_str' for the tweetID. See\
    <https://dev.twitter.com/overview/api/tweets> for a full list of fields.
    e. g.: ['id_str'], ['id', 'text', 'favorite_count', 'retweet_count']
    If `entity_type` is expressed with hierarchy, then it is the list of\
    fields of the object that corresponds to the key of the entity_type,\
    (e.g., for entity_type='user.urls', the fields in the main_fields list\
    belong to the user object; for entity_type='place.bounding_box', the\
    files in the main_field list belong to the place object of the tweet).

    :param list entity_type: The name of the entity: 'hashtags', 'media',\
    'urls' and 'user_mentions' for the tweet object. For a user object,\
    this needs to be expressed with a hierarchy: `'user.urls'`. For the\
    bounding box of the Tweet location, use `'place.bounding_box'`.

    :param list entity_fields: The list of fields to be extracted from the\
    entity. E.g. `['text']` (of the Tweet)

    :param error: Behaviour for encoding errors, see\
    https://docs.python.org/3/library/codecs.html#codec-base-classes

    :param gzip_compress: if `True`, ouput files are compressed with gzip
    """

    (writer, outf) = outf_writer_compat(outfile, encoding, errors, gzip_compress)
    header = get_header_field_list(main_fields, entity_type, entity_fields)
    writer.writerow(header)
    for line in tweets_file:
        tweet = json.loads(line)
        if _is_composed_key(entity_type):
            key, value = _get_key_value_composed(entity_type)
            object_json = _get_entity_recursive(tweet, key)
            if not object_json:
                # this can happen in the case of "place"
                continue
            object_fields = extract_fields(object_json, main_fields)
            items = _get_entity_recursive(object_json, value)
            _write_to_file(object_fields, items, entity_fields, writer)
        else:
            tweet_fields = extract_fields(tweet, main_fields)
            items = _get_entity_recursive(tweet, entity_type)
            _write_to_file(tweet_fields, items, entity_fields, writer)
    outf.close()