Conditions | 14 |
Total Lines | 55 |
Code Lines | 54 |
Lines | 0 |
Ratio | 0 % |
Changes | 0 |
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
Complex classes like osm_poi_matchmaker.dataproviders.hu_dm.hu_dm.process() often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
1 | # -*- coding: utf-8 -*- |
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48 | def process(self): |
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49 | try: |
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50 | soup = save_downloaded_soup('{}'.format(self.link), os.path.join(self.download_cache, self.filename), |
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51 | self.filetype) |
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52 | if soup is not None: |
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53 | text = json.loads(soup) |
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54 | for poi_data in text['stores']: |
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55 | try: |
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56 | if poi_data.get('localeCountry').strip().upper() == 'HU': |
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57 | self.data.name = 'dm' |
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58 | self.data.code = 'hudmche' |
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59 | self.data.postcode = poi_data.get('address')[ |
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60 | 'zip'].strip() |
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61 | street_tmp = poi_data.get( |
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62 | 'address')['street'].split(',')[0] |
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63 | self.data.city = clean_city( |
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64 | poi_data.get('address')['city']) |
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65 | self.data.website = 'https://www.dm.hu{}'.format( |
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66 | poi_data.get('storeUrlPath')) |
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67 | self.data.original = poi_data.get('address')[ |
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68 | 'street'] |
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69 | self.data.lat, self.data.lon = \ |
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70 | check_hu_boundary(poi_data.get('location')[ |
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71 | 'lat'], poi_data.get('location')['lon']) |
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72 | self.data.street, self.data.housenumber, self.data.conscriptionnumber = \ |
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73 | extract_street_housenumber_better_2( |
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74 | street_tmp.title()) |
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75 | if poi_data.get('phone') is not None and poi_data.get('phone') != '': |
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76 | self.data.phone = clean_phone_to_str( |
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77 | poi_data.get('phone')) |
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78 | if poi_data.get('storeNumber') is not None and poi_data.get('storeNumber') != '': |
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79 | self.data.ref = poi_data.get( |
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80 | 'storeNumber').strip() |
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81 | opening = poi_data.get('openingDays') |
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82 | try: |
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83 | for i, d in enumerate(opening): |
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84 | if d.get('weekDay') is not None and 1 <= d.get('weekDay') <= 7: |
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85 | day = d.get('weekDay') |
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86 | self.data.day_open( |
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87 | day - 1, d.get('timeSlices')[0].get('opening')) |
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88 | self.data.day_close( |
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89 | day - 1, d.get('timeSlices')[0].get('closing')) |
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90 | except (IndexError, KeyError): |
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91 | logging.warning( |
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92 | 'Exception occurred during opening hours processing') |
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93 | self.data.public_holiday_open = False |
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94 | self.data.add() |
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95 | except Exception as e: |
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96 | logging.error(e) |
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97 | logging.error(poi_data) |
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98 | logging.exception('Exception occurred') |
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99 | |||
100 | except Exception as e: |
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101 | logging.error(e) |
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102 | logging.exception('Exception occurred') |
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103 |