プロジェクトからのすべてのコメントの収集

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from frameioclient import FrameioClient
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import requests, json, csv, itertools
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ROOT_ASSET_ID = "<ROOT_ASSET_ID>"
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TOKEN = "<DEV_TOKEN>"

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def all_comments(client, asset_id, comment_list):
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    files = client.get_asset_children(asset_id)
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    for asset in files:
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        if asset['type'] == "file":
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            if asset['comment_count'] > 0:
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                asset_parent_id = asset['parent_id']
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                asset_name = asset['name']
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                comments = client.get_comments(asset['id'])
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                my_comment_list = [comment for comment in comments.results]
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                for object in my_comment_list:
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                    object.update({'parent_id':asset_parent_id})
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                    object.update({'name':asset_name})
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                comment_list.append(my_comment_list)
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        if asset['type'] == "folder":
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            if asset['item_count'] > 0:
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                all_comments(client, asset['id'], comment_list)
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        if asset['type'] == "version_stack":
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            asset_name = asset['name']
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            parent_id = asset['parent_id']
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            vfiles = client.get_asset_children(asset['id'])
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            for asset in vfiles.results:
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                asset_name = asset['name']
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                parent_id = asset['parent_id']
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                if asset['type'] == "file":
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                    if asset['comment_count'] > 0:
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                        comments = client.get_comments(asset['id'])
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                        my_comment_list = [comment for comment in comments.results]
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                        for object in my_comment_list:
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                            object.update({'parent_id':parent_id})
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                            object.update({'name':asset_name})
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                        comment_list.append(my_comment_list)
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def get_all_project_comments(root_asset_id, token):
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    comment_list = []
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    client = FrameioClient(token)
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    all_comments(client, root_asset_id, comment_list)
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    return comment_list

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# The response list comes back as a list of lists.
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# Flatten out responses to a single list so you can build your .csv file.
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flat_response_list = list(itertools.chain.from_iterable(responses))

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list_for_csv = [[o['text'], o['parent_id'], o['asset_id'], o['name'], o['owner_id'], o['owner']['email'], o['timestamp'], o['updated_at']] for o in flat_response_list]
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# Let's write our new list out to a .csv file. We'll add a heading.
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with open("output.csv", 'w') as myfile:
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     wr = csv.writer(myfile, dialect='excel')
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     wr.writerow(['Comment', 'Parent ID', 'Asset ID', 'Asset Name', 'Owner ID', 'Email', 'Timestamp', 'Updated At'])
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     wr.writerows(list_for_csv)