a654e30df2
* refactor(chalice): refactored errors * refactor(chalice): refactored metrics/cards/dashboards refactor(chalice): refactored sessions refactor(chalice): refactored sourcemaps
110 lines
6 KiB
Python
110 lines
6 KiB
Python
from routers.base import get_routers
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public_app, app, app_apikey = get_routers()
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#
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# @app.get('/{projectId}/insights/journey', tags=["insights"])
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# async def get_insights_journey(projectId: int):
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# return {"data": product_analytics.path_analysis(project_id=projectId, data=schemas.PathAnalysisSchema())}
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#
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#
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# @app.post('/{projectId}/insights/journey', tags=["insights"])
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# async def get_insights_journey(projectId: int, data: schemas.PathAnalysisSchema = Body(...)):
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# return {"data": product_analytics.path_analysis(project_id=projectId, data=data)}
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#
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#
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# @app.post('/{projectId}/insights/users_acquisition', tags=["insights"])
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# @app.get('/{projectId}/insights/users_acquisition', tags=["insights"])
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# async def get_users_acquisition(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.users_acquisition(project_id=projectId, **data.dict())}
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#
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#
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# @app.post('/{projectId}/insights/users_retention', tags=["insights"])
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# @app.get('/{projectId}/insights/users_retention', tags=["insights"])
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# async def get_users_retention(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.users_retention(project_id=projectId, **data.dict())}
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#
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#
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# @app.post('/{projectId}/insights/feature_retention', tags=["insights"])
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# @app.get('/{projectId}/insights/feature_retention', tags=["insights"])
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# async def get_feature_rentention(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.feature_retention(project_id=projectId, **data.dict())}
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#
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#
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# @app.post('/{projectId}/insights/feature_acquisition', tags=["insights"])
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# @app.get('/{projectId}/insights/feature_acquisition', tags=["insights"])
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# async def get_feature_acquisition(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.feature_acquisition(project_id=projectId, **data.dict())}
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#
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#
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# @app.post('/{projectId}/insights/feature_popularity_frequency', tags=["insights"])
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# @app.get('/{projectId}/insights/feature_popularity_frequency', tags=["insights"])
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# async def get_feature_popularity_frequency(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.feature_popularity_frequency(project_id=projectId, **data.dict())}
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#
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#
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# @app.post('/{projectId}/insights/feature_intensity', tags=["insights"])
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# @app.get('/{projectId}/insights/feature_intensity', tags=["insights"])
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# async def get_feature_intensity(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.feature_intensity(project_id=projectId, **data.dict())}
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#
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#
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# @app.post('/{projectId}/insights/feature_adoption', tags=["insights"])
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# @app.get('/{projectId}/insights/feature_adoption', tags=["insights"])
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# async def get_feature_adoption(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.feature_adoption(project_id=projectId, **data.dict())}
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#
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#
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# @app.post('/{projectId}/insights/feature_adoption_top_users', tags=["insights"])
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# @app.get('/{projectId}/insights/feature_adoption_top_users', tags=["insights"])
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# async def get_feature_adoption(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.feature_adoption_top_users(project_id=projectId, **data.dict())}
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#
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#
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# @app.post('/{projectId}/insights/users_active', tags=["insights"])
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# @app.get('/{projectId}/insights/users_active', tags=["insights"])
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# async def get_users_active(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.users_active(project_id=projectId, **data.dict())}
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#
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#
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# @app.post('/{projectId}/insights/users_power', tags=["insights"])
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# @app.get('/{projectId}/insights/users_power', tags=["insights"])
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# async def get_users_power(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.users_power(project_id=projectId, **data.dict())}
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#
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#
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# @app.post('/{projectId}/insights/users_slipping', tags=["insights"])
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# @app.get('/{projectId}/insights/users_slipping', tags=["insights"])
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# async def get_users_slipping(projectId: int, data: schemas.MetricPayloadSchema = Body(...)):
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# return {"data": product_analytics.users_slipping(project_id=projectId, **data.dict())}
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#
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#
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# @app.route('/{projectId}/dashboard/{widget}/search', methods=['GET'])
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# async def get_dashboard_autocomplete(projectId:int, widget):
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# params = app.current_request.query_params
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# if params is None or params.get('q') is None or len(params.get('q')) == 0:
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# return {"data": []}
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# params['q'] = '^' + params['q']
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#
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# if widget in ['performance']:
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# data = dashboard.search(params.get('q', ''), params.get('type', ''), project_id=projectId,
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# platform=params.get('platform', None), performance=True)
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# elif widget in ['pages', 'pages_dom_buildtime', 'top_metrics', 'time_to_render',
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# 'impacted_sessions_by_slow_pages', 'pages_response_time']:
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# data = dashboard.search(params.get('q', ''), params.get('type', ''), project_id=projectId,
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# platform=params.get('platform', None), pages_only=True)
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# elif widget in ['resources_loading_time']:
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# data = dashboard.search(params.get('q', ''), params.get('type', ''), project_id=projectId,
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# platform=params.get('platform', None), performance=False)
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# elif widget in ['time_between_events', 'events']:
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# data = dashboard.search(params.get('q', ''), params.get('type', ''), project_id=projectId,
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# platform=params.get('platform', None), performance=False, events_only=True)
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# elif widget in ['metadata']:
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# data = dashboard.search(params.get('q', ''), None, project_id=projectId,
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# platform=params.get('platform', None), metadata=True, key=params.get("key"))
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# else:
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# return {"errors": [f"unsupported widget: {widget}"]}
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# return {'data': data}
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