I'm building an app that uses Dash and Plotly to show data in graphs. With Dash, I've been able to get the page layout to render, but when I add @app.callback I get output_spec = kwargs.pop("outputs_list") KeyError: 'outputs_list'. There's not a lot of answers regarding this error from Dash so It has been hard to get to the bottom of what's causing it.
@app.callback([ Output("conversion_rate_text", "children"), Output("ttr_text", "children"), Output("cpa_text", "children"), Output("cpt_text", "children"), Output("installs_text", "children") ], [ Input('org-picker-dropdown', 'value'), Input('my-date-picker-range', 'start_date'), Input('my-date-picker-range', 'end_date') ] ) def generate_report(client, appId): print("START") start_date = "2020-11-01" end_date = "2020-12-20" firebaseBucket = storage.bucket() print(firebaseBucket) url = "https://api.searchads.apple.com/api/v2/acls" keyBlobText = 'users/{client}/asa_accounts/{appId}/api_certificates/account.key'.format(client = client, appId = appId) pemBlobText = 'users/{client}/asa_accounts/{appId}/api_certificates/account.pem'.format(client = client, appId = appId) if firebaseBucket.blob(keyBlobText): print("GETTING KEY AND PEM") key = firebaseBucket.blob(keyBlobText) pem = firebaseBucket.blob(pemBlobText) key.download_to_filename("client.key") pem.download_to_filename("client.pem") asa_response = requests.get(url, cert=(asa_pem, asa_key)) orgId = asa_response.json()['data'][0]['orgId'] blobs = firebaseBucket.list_blobs() for blob in blobs: print(blob.name) allCampaigns = get_campaigns(client, appId, orgId, start_date, end_date) conversion_rate = format_rate(allCampaigns[0]['conversionRate']) + '%' ttr = format_rate(allCampaigns[0]['ttr']) + '%' cpa = format_num(allCampaigns[0]['avgCPA']['amount']) + ' ' + allCampaigns[0]['avgCPA']['currency'] cpt = format_num(allCampaigns[0]['avgCPT']['amount']) + ' ' + allCampaigns[0]['avgCPT']['currency'] installs = format_num(allCampaigns[0]['installs']) if allCampaigns: new_re_downloads_chart = { 'data': [{ 'y': ['New Downloads ', 'Re-downloads '], 'x': [grand_totals['newDownloads'], grand_totals['redownloads']], 'orientation':'h', 'type': 'bar', 'name': 'New/Re - Downloads' }], 'layout': { 'yaxis': { 'automargin': True } } } else: new_re_downloads_chart = {} return allCampaigns, conversion_rate, ttr, cpa, cpt, installs, orgId def get_layout(client, appId): print("PLOTLY") client = "client" appId = "id" user_id = client current_asa_account_id = appId campaing_frames = generate_report(client, appId) company_name ="THE COMPANY" orgs = {'orgName': "THEORG", 'orgId': campaing_frames[6]} layout = html.Div( [ dcc.Store(id="aggregate_data"), # empty Div to trigger javascript file for graph resizing html.Div(id="output-clientside"), html.Div( [ html.Div( [ html.Img( src=app.get_asset_url("logo.png"), id="plotly-image", style={ "height": "60px", "width": "auto", "margin-bottom": "25px", }, ) ], className="one-third column", ), html.Div( [ html.Div( [ html.H3( client, style={"margin-bottom": "0px"}, ), html.H5( company_name, style={"margin-top": "0px"} ) ] ) ], className="one-half column", id="title", ), ], id="header", className="row flex-display", style={"margin-bottom": "25px"}, ), html.Div( [ html.Div( [ html.P("Choose an Organization (Campaign Group):"), dcc.Dropdown( options= [{'label':org[0], 'value': org[1]} for org in orgs], ##value= orgs[0]['orgId'], value= campaing_frames[6], searchable=False, id='org-picker-dropdown' ), html.P("Report Date Range:"), dcc.DatePickerRange( id='my-date-picker-range', min_date_allowed=datetime(2010, 1, 1), max_date_allowed=datetime.now().date(), initial_visible_month=get_last_month_start(), # initialize as past 30 days start_date= datetime.now().date() - relativedelta(days=30), # get_last_month_start(), end_date= datetime.now().date() # get_last_month_end() ), ], className="pretty_container", id="cross-filter-options", ), html.Div( [ html.Div( [ html.Div( [html.H6(id="conversion_rate_text"), html.P("Conversion Rate")], id="conversion_rate_card", className="mini_container", ), html.Div( [html.H6(id="ttr_text"), html.P("TTR")], id="ttr_card", className="mini_container", ), html.Div( [html.H6(id="cpa_text"), html.P("CPI")], id="oicpa_cardl", className="mini_container", ), html.Div( [html.H6(id="cpt_text"), html.P("CPT")], id="cpt_card", className="mini_container", ), html.Div( [html.H6(id="installs_text"), html.P("Total Installs")], id="installs_card", className="mini_container", ), ], id="info-container", className="row container-display", ), ], id="right-column", className="container one-half column", ), ], className="row flex-display", ), html.Div( [dcc.Graph(id="installs_time_series_chart")], id="installs_time_series_chart_container", className="pretty_container four column", ), html.Div( [dcc.Graph(id="cpi_time_series_chart")], id="cpi_time_series_chart_container", className="pretty_container four column", ), html.Div( [dcc.Graph(id="new_re_downloads_chart")], id="new_re_downloads_chart_container", className="pretty_container four column", ), ], id="mainContainer", style={"display": "flex", "flex-direction": "column"}, ) return layout if __name__ == '__main__': get_layout("aaa", "sss") Is there something wrong with how I set up the callback? Is this a data issue from generate_report(client, appId)?
EDIT
The full error:
Traceback (most recent call last): File "/home/computer/Documents/app/report.py", line 522, in <module> get_layout("aaa", "sss") File "/home/computer/Documents/app/report.py", line 373, in get_layout campaing_frames = generate_report(client, appId) File "/home/computer/Documents/app/ENV/lib/python3.8/site-packages/dash/dash.py", line 1004, in add_context output_spec = kwargs.pop("outputs_list") KeyError: 'outputs_list' 
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