Пример #1
0
def explorer_view(provider=None, dataset=None, series=None):
    """
    http://127.0.0.1:8081/views/explorer/dataset/insee-cna-2005-ere-a88
    http://127.0.0.1:8081/views/explorer/insee    
    http://127.0.0.1:8081/views/explorer/insee/insee-cna-2005-ere-a88
    http://127.0.0.1:8081/views/explorer    
    http://127.0.0.1:8081/views    
    """

    if not dataset and not provider:
        provider = current_app.config.get('DEFAULT_PROVIDER', None)
        dataset = current_app.config.get('DEFAULT_DATASET', None)
    
    if dataset:
        doc = queries.get_dataset(dataset)
        #provider_doc = queries.col_providers().find_one({"name": doc["provider_name"]},{"slug": True})
        provider = doc["provider_name"].lower()
    elif provider:
        provider_doc = queries.get_provider(provider, {"slug": True, "name": True, "enable": True})
        dataset_doc = queries.col_datasets().find_one({"provider_name": provider_doc["name"],
                                                      "enable": True},
                                                     {"slug": True})
        dataset = dataset_doc["slug"]

    ctx = {
        "selectedProvider": provider,
        "selectedDataset": dataset,
    }
    return render_template("explorer.html", **ctx)
Пример #2
0
def ajax_datasets_list(provider):
    """
    TODO: covered query
        provider_name + enable + dataset_code + name + slug ???
        partialfilter sur enable = True
    """
    provider_doc = queries.get_provider(provider)
    query = {'provider_name': provider_doc["name"]}

    projection = {
        "_id": False,
        "enable": True,
        "dataset_code": True,
        "name": True,
        "slug": True
    }

    is_meta = request.args.get('is_meta', type=int, default=0) == 1
    if is_meta:
        projection["metadata"] = True

    docs = [
        doc for doc in queries.col_datasets().find(query, projection)
        if doc["enable"] is True
    ]
    return json_tools.json_response(docs)
Пример #3
0
def stats_run_json():

    query = {}
    provider_slug = request.args.get('provider')
    dataset_slug = request.args.get('dataset')

    if dataset_slug:
        dataset = queries.get_dataset(dataset_slug)
        query["provider_name"] = dataset["provider_name"]
        query["dataset_code"] = dataset["dataset_code"]
    elif provider_slug:
        provider = queries.get_provider(provider_slug)
        query["provider_name"] = provider["name"]

    startDate = arrow.get(request.args.get('startDate')).floor('day').datetime
    endDate = arrow.get(request.args.get('endDate')).ceil('day').datetime

    query["created"] = {"$gte": startDate, "$lte": endDate}

    limit = request.args.get('limit', default=100, type=int)

    cursor = queries.col_stats_run().find(query)
    if limit:
        cursor = cursor.limit(limit)
    count = cursor.count()
    cursor = cursor.sort("created", -1)
    rows = [doc for doc in cursor]
    """
    for row in rows:
        row["view"] = url_for("views.dataset-by-code", 
                              provider_name=row["provider_name"],
                              dataset_code=row["dataset_code"])
    """
    return json_tools.json_response(rows, {"total": count})
Пример #4
0
def stats_run_json():

    query = {}
    provider_slug = request.args.get('provider')
    dataset_slug = request.args.get('dataset')
    
    if dataset_slug:
        dataset = queries.get_dataset(dataset_slug)
        query["provider_name"] = dataset["provider_name"]
        query["dataset_code"] = dataset["dataset_code"]
    elif provider_slug:
        provider = queries.get_provider(provider_slug)
        query["provider_name"] = provider["name"]
        
    startDate = arrow.get(request.args.get('startDate')).floor('day').datetime
    endDate = arrow.get(request.args.get('endDate')).ceil('day').datetime
    
    query["created"] = {"$gte": startDate, "$lte": endDate}
    
    limit = request.args.get('limit', default=100, type=int)
    
    cursor = queries.col_stats_run().find(query)
    if limit:
        cursor = cursor.limit(limit)    
    count = cursor.count()
    cursor = cursor.sort("created", -1)
    rows = [doc for doc in cursor]
    """
    for row in rows:
        row["view"] = url_for("views.dataset-by-code", 
                              provider_name=row["provider_name"],
                              dataset_code=row["dataset_code"])
    """
    return json_tools.json_response(rows, {"total": count})
Пример #5
0
def ajax_tree_view(provider=None):

    provider = provider or request.args.get('provider')
    if not provider:
        abort(404, "provider is required")

    _provider = queries.get_provider(provider)
    provider_name = _provider["name"]

    query = {"provider_name": provider_name, "enable": True}
    cursor = queries.col_categories().find(query, {"_id": False})
    cursor = cursor.sort([("position", 1), ("category_code", 1)])

    categories = OrderedDict([(doc["category_code"], doc) for doc in cursor])
    ds_codes = []

    for_remove = []
    for cat in categories.values():
        if cat.get("parent"):
            parent = categories[cat.get("parent")]
            if not "children" in parent:
                parent["children"] = []
            parent["children"].append(cat)
            for_remove.append(cat["category_code"])
        if cat.get("datasets"):
            for ds in cat.get("datasets"):
                ds_codes.append(ds["dataset_code"])

    for r in for_remove:
        categories.pop(r)

    ds_query = {
        'provider_name': provider_name,
        "enable": True,
        "dataset_code": {
            "$in": list(set(ds_codes))
        }
    }
    ds_projection = {"_id": True, "dataset_code": True, "slug": True}
    cursor = queries.col_datasets().find(ds_query, ds_projection)

    dataset_codes = {}
    for doc in cursor:
        dataset_codes[doc['dataset_code']] = {
            "slug": doc['slug'],
            "url": url_for('.dataset-by-slug', slug=doc["slug"])
        }

    context = dict(provider=_provider,
                   categories=categories,
                   dataset_codes=dataset_codes)

    data = render_template("datatree_ajax.html", **context)
    response = current_app.response_class(data,
                                          mimetype='application/javascript')
    response.status_code = 200
    response.make_conditional(request)
    return response
Пример #6
0
def ajax_tree_view(provider=None):
    
    provider = provider or request.args.get('provider')
    if not provider:
        abort(404, "provider is required")
    
    _provider = queries.get_provider(provider)
    provider_name = _provider["name"]

    query = {"provider_name": provider_name, 
             "enable": True}
    cursor = queries.col_categories().find(query, {"_id": False})
    cursor = cursor.sort([("position", 1), ("category_code", 1)])
    
    categories = OrderedDict([(doc["category_code"], doc ) for doc in cursor])
    ds_codes = []
    
    for_remove = []
    for cat in categories.values():
        if cat.get("parent"):
            parent = categories[cat.get("parent")]
            if not "children" in parent:
                parent["children"] = []
            parent["children"].append(cat)
            for_remove.append(cat["category_code"])
        if cat.get("datasets"):
            for ds in cat.get("datasets"):
                ds_codes.append(ds["dataset_code"])

    for r in for_remove:
        categories.pop(r)
        
    ds_query = {'provider_name': provider_name,
                "enable": True,
                "dataset_code": {"$in": list(set(ds_codes))}}
    ds_projection = {"_id": True, "dataset_code": True, "slug": True}
    cursor = queries.col_datasets().find(ds_query, ds_projection)
    
    dataset_codes = {}
    for doc in cursor:
        dataset_codes[doc['dataset_code']] = {
            "slug": doc['slug'],
            "url": url_for('.dataset-by-slug', slug=doc["slug"])
        }

    context = dict(
        provider=_provider,
        categories=categories,
        dataset_codes=dataset_codes
    )
    
    data = render_template("datatree_ajax.html", **context)
    response = current_app.response_class(data,
                            mimetype='application/javascript')
    response.status_code = 200    
    response.make_conditional(request)
    return response
Пример #7
0
def ajax_datasets_list(provider):
    """
    TODO: covered query
        provider_name + enable + dataset_code + name + slug ???
        partialfilter sur enable = True
    """
    provider_doc = queries.get_provider(provider)
    query = {'provider_name': provider_doc["name"]}
    
    projection = {"_id": False, "enable": True, 
                  "dataset_code": True, "name": True, "slug": True}
    
    is_meta = request.args.get('is_meta', type=int, default=0) == 1
    if is_meta:
        projection["metadata"] = True
        
    docs = [doc for doc in queries.col_datasets().find(query, projection) if doc["enable"] is True]
    return json_tools.json_response(docs)
Пример #8
0
def explorer_view(provider=None, dataset=None, series=None):
    """
    http://127.0.0.1:8081/views/explorer/dataset/insee-cna-2005-ere-a88
    http://127.0.0.1:8081/views/explorer/insee
    http://127.0.0.1:8081/views/explorer/insee/insee-cna-2005-ere-a88
    http://127.0.0.1:8081/views/explorer
    http://127.0.0.1:8081/views
    """

    if not dataset and not provider:
        provider = current_app.config.get('DEFAULT_PROVIDER', None)
        dataset = current_app.config.get('DEFAULT_DATASET', None)

    if dataset:
        doc = queries.get_dataset(dataset)
        # provider_doc = queries.col_providers().find_one({"name": doc["provider_name"]},{"slug": True})
        provider = doc["provider_name"].lower()
    elif provider:
        provider_doc = queries.get_provider(provider, {
            "slug": True,
            "name": True,
            "enable": True
        })
        dataset_doc = queries.col_datasets().find_one(
            {
                "provider_name": provider_doc["name"],
                "enable": True
            },
            {"slug": True},
        )
        dataset = dataset_doc["slug"]

    ctx = {
        "selectedProvider": provider,
        "selectedDataset": dataset,
    }
    return render_template("explorer.html", **ctx)
Пример #9
0
def ajax_explorer_datas():

    limit = request.args.get('limit', default=100, type=int)
    if limit > 1000:
        limit = 1000

    #7 669 115 octets pour 1000 series

    projection = {
        "_id": False,
        "dimensions": False,
        "attributes": False,
        "values.revisions": False,
        "notes": False,
        "tags": False
    }

    query = OrderedDict()
    provider_slug = request.args.get('provider')
    dataset_slug = request.args.get('dataset')
    #series_slug = request.args.get('series')
    search = request.args.get('search')

    is_eurostat = False
    if dataset_slug:
        dataset = queries.get_dataset(dataset_slug)
        query["provider_name"] = dataset["provider_name"]
        #query["dataset_code"] = dataset["dataset_code"]
        if dataset["provider_name"] == "EUROSTAT":
            is_eurostat = True
    elif provider_slug:
        provider = queries.get_provider(provider_slug)
        query["provider_name"] = provider["name"]
        if provider["name"] == "EUROSTAT":
            is_eurostat = True

    if search:
        query["$text"] = {"$search": search.strip()}
        projection['score'] = {'$meta': 'textScore'}

    disabled_datasets = []
    if dataset_slug:
        query["dataset_code"] = dataset["dataset_code"]
    else:
        ds_enabled_query = {"enable": False}
        if "provider_name" in query:
            ds_enabled_query["provider_name"] = query["provider_name"]
        disabled_datasets = [
            doc["dataset_code"] for doc in queries.col_datasets().find(
                ds_enabled_query, {"dataset_code": True})
        ]

    query = complex_queries_series(query)
    cursor = queries.col_series().find(dict(query), projection)

    if search:
        cursor = cursor.sort([('score', {'$meta': 'textScore'})])

    #else:
    #    query = {"slug": series_slug}
    #    cursor = queries.col_series().find(dict(query), projection)

    if limit:
        cursor = cursor.limit(limit)

    if is_eurostat:
        count = 0
    else:
        count = cursor.count()

    series_list = [doc for doc in cursor]

    rows = []

    for s in series_list:
        if disabled_datasets and s["dataset_code"] in disabled_datasets:
            continue

        if not "version" in s:
            s["version"] = 0

        s['start_date'] = s["values"][0]["period"]
        s['end_date'] = s["values"][-1]["period"]
        values = [{
            "period": v["period"],
            "value": v["value"]
        } for v in s['values']]
        del s["values"]
        s["values"] = values

        s['view'] = url_for('.series-by-slug', slug=s['slug'], modal=1)

        dataset_slug = slugify("%s-%s" %
                               (s["provider_name"], s["dataset_code"]),
                               word_boundary=False,
                               save_order=True)

        s['view_dataset'] = url_for('.dataset-by-slug',
                                    slug=dataset_slug,
                                    modal=1)

        #s["view_explorer"] = url_for('.explorer_s', series=s['slug'], _external=True)

        s['dataset_slug'] = dataset_slug
        s['export_csv'] = url_for('.export-series-csv', slug=s['slug'])
        s['url_series_plot'] = url_for('.ajax_series_plot', slug=s['slug'])
        s['url_cart_add'] = url_for('.ajax-cart-add', slug=s['slug'])
        #TODO: s['url_dataset'] = url_for('.dataset', id=s['_id'])
        s['frequency_txt'] = s['frequency']
        if s['frequency'] in constants.FREQUENCIES_DICT:
            s['frequency_txt'] = constants.FREQUENCIES_DICT[s['frequency']]

        rows.append(s)

    return json_tools.json_response(rows, {"total": count})
Пример #10
0
def ajax_explorer_datas():

    limit = request.args.get('limit', default=100, type=int)
    if limit > 1000:
        limit = 1000
        
    #7 669 115 octets pour 1000 series
    
    projection = {
        "_id": False,
        "dimensions": False, 
        "attributes": False, 
        "values.revisions": False,
        "notes": False,
        "tags": False
    }
    
    query = OrderedDict()
    provider_slug = request.args.get('provider')
    dataset_slug = request.args.get('dataset')
    #series_slug = request.args.get('series')
    search = request.args.get('search')
    
    is_eurostat = False
    if dataset_slug:
        dataset = queries.get_dataset(dataset_slug)
        query["provider_name"] = dataset["provider_name"]
        #query["dataset_code"] = dataset["dataset_code"]
        if dataset["provider_name"] == "EUROSTAT":
            is_eurostat = True
    elif provider_slug:
        provider = queries.get_provider(provider_slug)
        query["provider_name"] = provider["name"]
        if provider["name"] == "EUROSTAT":
            is_eurostat = True
    
    if search:
        query["$text"] = {"$search": search.strip()}
        projection['score'] = {'$meta': 'textScore'}

    disabled_datasets = []
    if dataset_slug:
        query["dataset_code"] = dataset["dataset_code"]
    else:
        ds_enabled_query = {"enable": False}
        if "provider_name" in query:
            ds_enabled_query["provider_name"] = query["provider_name"]
        disabled_datasets = [doc["dataset_code"] for doc in queries.col_datasets().find(ds_enabled_query, 
                                                                                        {"dataset_code": True})]
        
    query = complex_queries_series(query)
    cursor = queries.col_series().find(dict(query), projection)

    if search:
        cursor = cursor.sort([('score', {'$meta': 'textScore'})])
            
    #else:
    #    query = {"slug": series_slug}
    #    cursor = queries.col_series().find(dict(query), projection)
    
    if limit:
        cursor = cursor.limit(limit)

    if is_eurostat:
        count = 0
    else:
        count = cursor.count()
    
    series_list = [doc for doc in cursor]

    rows = []
    
    for s in series_list:
        if disabled_datasets and s["dataset_code"] in disabled_datasets:
            continue
        
        if not "version" in s:
            s["version"] = 0
        
        s['start_date'] = s["values"][0]["period"]
        s['end_date'] = s["values"][-1]["period"]
        values = [{"period": v["period"], "value": v["value"]} for v in s['values']]
        del s["values"]
        s["values"] = values

        s['view'] = url_for('.series-by-slug', slug=s['slug'], modal=1)

        dataset_slug = slugify("%s-%s" % (s["provider_name"], 
                                          s["dataset_code"]),
                        word_boundary=False, save_order=True)
        
        s['view_dataset'] = url_for('.dataset-by-slug', slug=dataset_slug, modal=1)
        
        #s["view_explorer"] = url_for('.explorer_s', series=s['slug'], _external=True)
        
        s['dataset_slug'] = dataset_slug
        s['export_csv'] = url_for('.export-series-csv', slug=s['slug'])
        s['url_series_plot'] = url_for('.ajax_series_plot', slug=s['slug'])
        s['url_cart_add'] = url_for('.ajax-cart-add', slug=s['slug'])
        #TODO: s['url_dataset'] = url_for('.dataset', id=s['_id'])
        s['frequency_txt'] = s['frequency']
        if s['frequency'] in constants.FREQUENCIES_DICT:
            s['frequency_txt'] = constants.FREQUENCIES_DICT[s['frequency']]
        
        rows.append(s)

    return json_tools.json_response(rows, {"total": count})