2019-02-28 13:09:53 +00:00
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from django.shortcuts import render
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from .charts import TimeChart, BarChart
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from .forms import NgramForm, NgramFormSpeaker
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from .ngram_search import NgramSearch, NgramSearchSpeaker
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# import logging
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def ngram_viewer_year(request):
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2019-03-01 19:55:41 +00:00
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"""
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This view creates the Ngram Viewer page per year.
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"""
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2019-02-28 13:09:53 +00:00
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# logger = logging.getLogger(__name__)
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if(request.method == "GET"):
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form = NgramForm(request.GET)
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if(form.is_valid()):
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clean_data = form.cleaned_data
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search = NgramSearch(clean_data)
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search.get_sub_querys()
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search.enhanced_search()
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search.query_sets_to_data()
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search.convert_to_data_set()
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line_chart = TimeChart()
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line_chart.get_datasets(data_sets=search.data_set)
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context = {"title": "Ngram Viewer für: " + clean_data["query"],
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"form": form, "line_chart": line_chart}
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# logger.info(search.sub_querys_dict)
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# logger.info(search.filtered_sets_dict)
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# logger.info(search.raw_data)
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# logger.info(search.data_set)
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return render(request,
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"ngram_viewer/ngram_viewer_year.html",
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context)
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else:
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form = NgramForm()
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clean_data = {'query': 'Asyl, Kroatien, Krieg',
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'case_sensitive': False,
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'search_plus': False,
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'ignore_missing': False,
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'corpus_choice': 'lm_ns_year'}
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search = NgramSearch(clean_data)
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search.get_sub_querys()
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search.enhanced_search()
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search.query_sets_to_data()
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search.convert_to_data_set()
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line_chart = TimeChart()
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line_chart.get_datasets(data_sets=search.data_set)
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context = {"title": "Ngram Viewer pro Jahr für: " + clean_data["query"],
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"form": form, "line_chart": line_chart}
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return render(request,
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"ngram_viewer/ngram_viewer_year.html",
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context)
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def ngram_viewer_speaker(request):
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2019-03-01 19:55:41 +00:00
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"""
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This view creates the Ngram Viewer page per speaker.
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"""
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2019-02-28 13:09:53 +00:00
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if(request.method == "GET"):
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form = NgramFormSpeaker(request.GET)
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if(form.is_valid()):
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clean_data = form.cleaned_data
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search = NgramSearchSpeaker(clean_data)
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search.get_sub_querys()
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search.enhanced_search()
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search.query_sets_to_data()
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search.convert_to_data_set()
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speaker_data = search.get_speaker_name(search.data_set)
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bar_chart = BarChart(clean_data["range"])
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bar_chart.create_data(data_sets=speaker_data)
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bar_chart.get_datasets()
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bar_chart.get_labels()
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context = {"title": "Ngram Viewer für: " + clean_data["query"],
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"form": form, "bar_chart": bar_chart}
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return render(request,
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"ngram_viewer/ngram_viewer_speaker.html",
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context)
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else:
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errors = form.errors
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form = NgramFormSpeaker()
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clean_data = {'query': 'Ausländer',
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'case_sensitive': False,
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'search_plus': False,
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'ignore_missing': False,
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'corpus_choice': 'lm_ns_speaker',
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'range': '10'}
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search = NgramSearchSpeaker(clean_data)
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search.get_sub_querys()
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search.enhanced_search()
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search.query_sets_to_data()
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search.convert_to_data_set()
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speaker_data = search.get_speaker_name(search.data_set)
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bar_chart = BarChart(clean_data["range"])
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bar_chart.create_data(data_sets=speaker_data)
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bar_chart.get_datasets()
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bar_chart.get_labels()
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context = {"title": "Ngram Viewer pro MdB für: " + clean_data["query"],
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"form": form, "bar_chart": bar_chart, "errors": errors}
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return render(request,
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"ngram_viewer/ngram_viewer_speaker.html",
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context)
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