How to use new_entry method in hypothesis

Best Python code snippet using hypothesis

fed_meeting_log_v1.py

Source:fed_meeting_log_v1.py

1import scraperwiki2from bs4 import BeautifulSoup3from datetime import datetime4'''503/30/20126Scraper for Fed Meeting Logs.7Fed top-level links:8http://www.federalreserve.gov/newsevents/reform_systemic.htm9http://www.federalreserve.gov/newsevents/reform_derivatives.htm10http://www.federalreserve.gov/newsevents/reform_interchange.htm11http://www.federalreserve.gov/newsevents/reform_payments.htm12http://www.federalreserve.gov/newsevents/reform_consumer.htm13http://www.federalreserve.gov/newsevents/reform_resolution.htm14'''15BASE = "http://www.federalreserve.gov"16#Dictionary of Category: url pairs:17FED_MEETINGS = {18    "Systemic Designations, Enhanced Prudential Standards, and Banking Supervision and Regulation": "/newsevents/reform_systemic.htm",19    "Derivatives Markets and Products": "/newsevents/reform_derivatives.htm",20    "Interchange Fees": "/newsevents/reform_interchange.htm",21    "Payments, Settlement and Clearing Activities and Utilities": "/newsevents/reform_payments.htm",22    "Consumer Financial Protection": "/newsevents/reform_consumer.htm",23    "Resolution Framework": "/newsevents/reform_resolution.htm"24}25def main():26    for category, url in FED_MEETINGS.iteritems():27        scrape_page(BASE+url, category)28def scrape_page(url, category):29    '''30    Scrapes a single page of the Fed meeting logs.31    url: the page url32    category: String for the category of all meetings on page.33    '''34    raw_page = scraperwiki.scrape(url)35    page_soup = BeautifulSoup(raw_page)36    table = page_soup.find('table', {"class":"earegulate"})37    38    #Find the table and get the enry for each row.39    all_entries = []40    all_rows = table.find_all("tr")41    subcategory = ""42    for row in all_rows:43        new_entry = {}44        cols = row.find_all('td')45        if len(cols) != 3: 46            header = row.find('th')47            if "Attachment" not in header.get_text(): subcategory = header.get_text()48            continue49    50        new_entry['category'] = category51        new_entry['subcategory'] = subcategory52        new_entry['fullname'] = cols[0].get_text()53        new_entry['name'] = new_entry['fullname'].replace("(PDF)", "").replace("Meeting", "").strip()54        new_entry['link'] = cols[0].find('a').get('href')55        date_raw = cols[1].get_text().strip()56        try:57            date = datetime.strptime(date_raw, "%m/%d/%Y").date()58        except:59            date = datetime.strptime(date_raw.split('-')[0], "%m/%d/%Y").date()60            print new_entry['name'] + ": " + date_raw61        new_entry['date'] = date62        new_entry['type'] = cols[2].get_text()63    64        #new_entry['key'] = new_entry['name'] + ": " + date_raw65        all_entries.append(new_entry)66    #Update database:67    scraperwiki.sqlite.save(['category', 'name', 'date'], all_entries, table_name="MeetingTable1")68main()import scraperwiki69from bs4 import BeautifulSoup70from datetime import datetime71'''7203/30/201273Scraper for Fed Meeting Logs.74Fed top-level links:75http://www.federalreserve.gov/newsevents/reform_systemic.htm76http://www.federalreserve.gov/newsevents/reform_derivatives.htm77http://www.federalreserve.gov/newsevents/reform_interchange.htm78http://www.federalreserve.gov/newsevents/reform_payments.htm79http://www.federalreserve.gov/newsevents/reform_consumer.htm80http://www.federalreserve.gov/newsevents/reform_resolution.htm81'''82BASE = "http://www.federalreserve.gov"83#Dictionary of Category: url pairs:84FED_MEETINGS = {85    "Systemic Designations, Enhanced Prudential Standards, and Banking Supervision and Regulation": "/newsevents/reform_systemic.htm",86    "Derivatives Markets and Products": "/newsevents/reform_derivatives.htm",87    "Interchange Fees": "/newsevents/reform_interchange.htm",88    "Payments, Settlement and Clearing Activities and Utilities": "/newsevents/reform_payments.htm",89    "Consumer Financial Protection": "/newsevents/reform_consumer.htm",90    "Resolution Framework": "/newsevents/reform_resolution.htm"91}92def main():93    for category, url in FED_MEETINGS.iteritems():94        scrape_page(BASE+url, category)95def scrape_page(url, category):96    '''97    Scrapes a single page of the Fed meeting logs.98    url: the page url99    category: String for the category of all meetings on page.100    '''101    raw_page = scraperwiki.scrape(url)102    page_soup = BeautifulSoup(raw_page)103    table = page_soup.find('table', {"class":"earegulate"})104    105    #Find the table and get the enry for each row.106    all_entries = []107    all_rows = table.find_all("tr")108    subcategory = ""109    for row in all_rows:110        new_entry = {}111        cols = row.find_all('td')112        if len(cols) != 3: 113            header = row.find('th')114            if "Attachment" not in header.get_text(): subcategory = header.get_text()115            continue116    117        new_entry['category'] = category118        new_entry['subcategory'] = subcategory119        new_entry['fullname'] = cols[0].get_text()120        new_entry['name'] = new_entry['fullname'].replace("(PDF)", "").replace("Meeting", "").strip()121        new_entry['link'] = cols[0].find('a').get('href')122        date_raw = cols[1].get_text().strip()123        try:124            date = datetime.strptime(date_raw, "%m/%d/%Y").date()125        except:126            date = datetime.strptime(date_raw.split('-')[0], "%m/%d/%Y").date()127            print new_entry['name'] + ": " + date_raw128        new_entry['date'] = date129        new_entry['type'] = cols[2].get_text()130    131        #new_entry['key'] = new_entry['name'] + ": " + date_raw132        all_entries.append(new_entry)133    #Update database:134    scraperwiki.sqlite.save(['category', 'name', 'date'], all_entries, table_name="MeetingTable1")...

_transformers.py

Source:_transformers.py

1# --------------------------------------------------------------------------------------------2# Copyright (c) Microsoft Corporation. All rights reserved.3# Licensed under the MIT License. See License.txt in the project root for license information.4# --------------------------------------------------------------------------------------------5# pylint: disable=line-too-long6from collections import OrderedDict7from azure.cli.core.util import CLIError8def table_transform_output(result):9    table_result = []10    for key in ('host', 'username', 'password', 'location', 'skuname', 'resource group', 'id', 'version', 'connection string'):11        entry = OrderedDict()12        entry['Property'] = key13        entry['Value'] = result[key]14        table_result.append(entry)15    return table_result16def table_transform_output_list_servers(result):17    table_result = []18    if not result:19        return table_result20    for key in result:21        new_entry = OrderedDict()22        new_entry['Name'] = key['name']23        new_entry['Resource Group'] = key['resourceGroup']24        new_entry['Location'] = key['location']25        new_entry['Version'] = key['version']26        new_entry['Storage Size(GiB)'] = int(key['storageProfile']['storageMb']) / 1024.027        new_entry['Tier'] = key['sku']['tier']28        new_entry['SKU'] = key['sku']['name']29        if 'flexibleServers' in result[0]['id']:30            new_entry['State'] = key['state']31            new_entry['HA State'] = key['haState']32            new_entry['Availability zone'] = key['availabilityZone']33        table_result.append(new_entry)34    return table_result35def table_transform_output_list_skus(result):36    table_result = []37    if len(result) > 1:38        skus_tiers = result[0]["supportedFlexibleServerEditions"]39        for skus in skus_tiers:40            tier_name = skus["name"]41            try:42                keys = skus["supportedServerVersions"][0]["supportedVcores"]43                for key in keys:44                    new_entry = OrderedDict()45                    new_entry['SKU'] = key['name']46                    new_entry['Tier'] = tier_name47                    new_entry['vCore'] = key['vCores']48                    new_entry['Memory'] = str(int(key['supportedMemoryPerVcoreMb']) * int(key['vCores']) // 1024) + " GiB"49                    new_entry['Max Disk IOPS'] = key['supportedIOPS']50                    table_result.append(new_entry)51            except:52                raise CLIError("There is no sku available for this location.")53    return table_result54def table_transform_output_list_servers_single_server(result):55    table_result = []56    for key in result:57        new_entry = OrderedDict()58        new_entry['Name'] = key['name']59        new_entry['Resource Group'] = key['resourceGroup']60        new_entry['Location'] = key['location']61        new_entry['Version'] = key['version']62        new_entry['Storage Size(GiB)'] = int(key['storageProfile']['storageMb']) / 1024.063        new_entry['Tier'] = key['sku']['tier']64        new_entry['SKU'] = key['sku']['name']65        table_result.append(new_entry)66    return table_result67def table_transform_output_list_skus_single_server(result):68    table_result = []69    if len(result) > 1:70        for tiers in result:71            tier_name = tiers["id"]72            try:73                keys = tiers["serviceLevelObjectives"]74                for key in keys:75                    new_entry = OrderedDict()76                    new_entry['SKU'] = key['id']77                    new_entry['Tier'] = tier_name78                    new_entry['vCore'] = key['vCore']79                    new_entry['Generation'] = key['hardwareGeneration']80                    table_result.append(new_entry)81            except:82                raise CLIError("There is no sku available for this location.")...

init_db.py

Source:init_db.py

1# to RUN use:2# 		python3 manage.py shell < init_db.py3from api.models import AvailableDaysTimes4order = 05new_entry = AvailableDaysTimes(day='seg', time='manha', order=order)6new_entry.save()7order +=18new_entry = AvailableDaysTimes(day='seg', time='tarde', order=order)9new_entry.save()10order +=111new_entry = AvailableDaysTimes(day='seg', time='noite', order=order)12new_entry.save()13order +=114new_entry = AvailableDaysTimes(day='ter', time='manha', order=order)15new_entry.save()16order +=117new_entry = AvailableDaysTimes(day='ter', time='tarde', order=order)18new_entry.save()19order +=120new_entry = AvailableDaysTimes(day='ter', time='noite', order=order)21new_entry.save()22order +=123new_entry = AvailableDaysTimes(day='qua', time='manha', order=order)24new_entry.save()25order +=126new_entry = AvailableDaysTimes(day='qua', time='tarde', order=order)27new_entry.save()28order +=129new_entry = AvailableDaysTimes(day='qua', time='noite', order=order)30new_entry.save()31order +=132new_entry = AvailableDaysTimes(day='qui', time='manha', order=order)33new_entry.save()34order +=135new_entry = AvailableDaysTimes(day='qui', time='tarde', order=order)36new_entry.save()37order +=138new_entry = AvailableDaysTimes(day='qui', time='noite', order=order)39new_entry.save()40order +=141new_entry = AvailableDaysTimes(day='sex', time='manha', order=order)42new_entry.save()43order +=144new_entry = AvailableDaysTimes(day='sex', time='tarde', order=order)45new_entry.save()46order +=147new_entry = AvailableDaysTimes(day='sex', time='noite', order=order)48new_entry.save()49order +=150new_entry = AvailableDaysTimes(day='sab', time='manha', order=order)51new_entry.save()52order +=153new_entry = AvailableDaysTimes(day='sab', time='tarde', order=order)54new_entry.save()55order +=156new_entry = AvailableDaysTimes(day='sab', time='noite', order=order)57new_entry.save()58order +=159new_entry = AvailableDaysTimes(day='dom', time='manha', order=order)60new_entry.save()61order +=162new_entry = AvailableDaysTimes(day='dom', time='tarde', order=order)63new_entry.save()64order +=165new_entry = AvailableDaysTimes(day='dom', time='noite', order=order)...

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