From 6ccb65f1633be57f6bb4254aa89e150c547b20dd Mon Sep 17 00:00:00 2001 From: PaulB Date: Sun, 12 Nov 2023 16:03:39 +0000 Subject: [PATCH 1/2] Issue 223 branch --- .gitignore | 3 + .vscode/settings.json | 8 +- csvProcessor.py | 9 + jsonProcessor.py | 9 + jsonRow.py | 65 + merge_data.py | 42 +- processor.py | 18 +- tests/conftest.py | 39 + tests/jsonRow_test.py | 50 + .../usmart/expected/Cycling Scotland.json | 3320 +++++++++++++++++ .../Dumfries and Galloway Council.json | 1346 +++++++ tests/usmart_test.py | 48 +- usmart.py | 42 +- 13 files changed, 4961 insertions(+), 38 deletions(-) create mode 100644 csvProcessor.py create mode 100644 jsonProcessor.py create mode 100644 jsonRow.py create mode 100644 tests/jsonRow_test.py create mode 100644 tests/mock_data/usmart/expected/Cycling Scotland.json create mode 100644 tests/mock_data/usmart/expected/Dumfries and Galloway Council.json diff --git a/.gitignore b/.gitignore index fb182109..278856c0 100644 --- a/.gitignore +++ b/.gitignore @@ -365,3 +365,6 @@ FodyWeavers.xsd # Pytest outputs tests/mock_data/mockcsv.csv tests/mock_data/output +.vscode/settings.json +.vscode/settings.json +.vscode/settings.json diff --git a/.vscode/settings.json b/.vscode/settings.json index de288e1e..ccb3e73b 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,3 +1,9 @@ { - "python.formatting.provider": "black" + "python.formatting.provider": "black", + "python.testing.pytestArgs": [ + "tests" + ], + "python.testing.unittestEnabled": false, + "python.testing.pytestEnabled": true, + "python.defaultInterpreterPath": "F:\\Program Files\\python3.9\\python" } \ No newline at end of file diff --git a/csvProcessor.py b/csvProcessor.py new file mode 100644 index 00000000..15fcc001 --- /dev/null +++ b/csvProcessor.py @@ -0,0 +1,9 @@ +try: + from processor import Processor +except: + from .processor import Processor + + +class csvProcessor(Processor): + def __init__(self, type): + super().__init__(type) diff --git a/jsonProcessor.py b/jsonProcessor.py new file mode 100644 index 00000000..06655669 --- /dev/null +++ b/jsonProcessor.py @@ -0,0 +1,9 @@ +try: + from processor import Processor +except: + from .processor import Processor + + +class jsonProcessor(Processor): + def __init__(self, type): + super().__init__(type) diff --git a/jsonRow.py b/jsonRow.py new file mode 100644 index 00000000..1a16afa1 --- /dev/null +++ b/jsonRow.py @@ -0,0 +1,65 @@ +import json, dataclasses +from dataclasses import dataclass + +EXPECTED_COLUMNS = [ + "Title", + "Owner", + "PageURL", + "AssetURL", + "FileName", + "DateCreated", + "DateUpdated", + "FileSize", + "FileSizeUnit", + "FileType", + "NumRecords", + "OriginalTags", + "ManualTags", + "License", + "Description", +] + + +@dataclass +class jsonRow: + Title: str = "" + Owner: str = "" + PageURL: str = "" + AssetURL: str = "" + FileName: str = "" + DateCreated: str = "" + DateUpdated: str = "" + FileSize: str = "" + FileSizeUnit: str = "" + FileType: str = "" + NumRecords: str = "" + OriginalTags: str = "" + ManualTags: str = "" + License: str = "" + Description: str = "" + + def __init__(self): + Title = "" + Owner = "" + PageURL = "" + AssetURL = "" + FileName = "" + DateCreated = "" + DateUpdated = "" + FileSize = "" + FileSizeUnit = "" + FileType = "" + NumRecords = "" + OriginalTags = "" + ManualTags = "" + License = "" + Description = "" + + class EnhancedJSONEncoder(json.JSONEncoder): + def default(self, o): + if dataclasses.is_dataclass(o): + return dataclasses.asdict(o) + return super().default(o) + + def toJSON(self): + return json.dumps(self, cls=self.EnhancedJSONEncoder) diff --git a/merge_data.py b/merge_data.py index ecf7087a..75b3edf1 100644 --- a/merge_data.py +++ b/merge_data.py @@ -49,8 +49,8 @@ def main(): } ) source_scotgov["Source"] = "sparql" - #print("DateUpdated " + source_scotgov["DateUpdated"]) - #print("DateCreated " + source_scotgov["DateCreated"]) + # print("DateUpdated " + source_scotgov["DateUpdated"]) + # print("DateCreated " + source_scotgov["DateCreated"]) try: source_scotgov["DateUpdated"] = pd.to_datetime( source_scotgov["DateUpdated"], utc=True @@ -110,7 +110,7 @@ def main(): source_usmart = pd.concat( [ source_usmart, - pd.read_csv( + pd.read_json( folder + r"/" + filename, parse_dates=["DateCreated", "DateUpdated"], ), @@ -165,19 +165,43 @@ def main(): # From Scottish Parliament print("\tMerging Scottish Parliament...") path = "data/bespoke_ScottishParliament/Scottish Parliament.json" - scottish_parliament_scraped = pd.read_json(path, convert_dates=["dateCreated", "dateUpdated"]) + scottish_parliament_scraped = pd.read_json( + path, convert_dates=["dateCreated", "dateUpdated"] + ) - for index, row in scottish_parliament_scraped.iterrows(): + for index, row in scottish_parliament_scraped.iterrows(): resources = pd.json_normalize(row["resources"]) for resource_index, resource_row in resources.iterrows(): # TEMP FIX: Need to do this mapping until we modify the merged_output.json schema to support nesting resources inside each dataset entry source_scraped = pd.concat( - [source_scraped, pd.DataFrame.from_records([{"Title": row["title"], "Owner": row["owner"], "PageURL": row["pageURL"], "AssetURL": resource_row["assetUrl"], "DateCreated": row["dateCreated"], "DateUpdated": row["dateUpdated"], "FileSize": resource_row["fileSize"], "FileType": resource_row["fileType"], "NumRecords": resource_row["numRecords"], "OriginalTags": row["tags"], "ManualTags" : row["tags"], "License": row["licence"], "Description": row["description"], "FileName": resource_row["fileName"]}])] + [ + source_scraped, + pd.DataFrame.from_records( + [ + { + "Title": row["title"], + "Owner": row["owner"], + "PageURL": row["pageURL"], + "AssetURL": resource_row["assetUrl"], + "DateCreated": row["dateCreated"], + "DateUpdated": row["dateUpdated"], + "FileSize": resource_row["fileSize"], + "FileType": resource_row["fileType"], + "NumRecords": resource_row["numRecords"], + "OriginalTags": row["tags"], + "ManualTags": row["tags"], + "License": row["licence"], + "Description": row["description"], + "FileName": resource_row["fileName"], + } + ] + ), + ] ) source_scraped["Source"] = "Web Scraped" # endregion - + ### Combine all data into single table print("Concatenating all") data = pd.concat( @@ -191,7 +215,7 @@ def main(): ] ) data = data.reset_index(drop=True) - + print(f"Output untidy {dt.now()}") ### Saves copy of data without cleaning - for analysis purposes data.to_json("data/merged_output_untidy.json", orient="records", date_format="iso") @@ -395,7 +419,7 @@ def tidy_licence(licence_name): "Other (Public Domain)": "Public Domain", "Public Domain": "Public Domain", "Public Sector End User Licence (Scotland)": "Public Sector End User Licence (Scotland)", - "Scottish Parliament Copyright Policy": "Scottish Parliament Copyright Policy" + "Scottish Parliament Copyright Policy": "Scottish Parliament Copyright Policy", } for key in known_licences.keys(): diff --git a/processor.py b/processor.py index 9e9ded51..8ed39cc5 100644 --- a/processor.py +++ b/processor.py @@ -4,6 +4,14 @@ import csv import json import os +import dataclasses + + +class EnhancedJSONEncoder(json.JSONEncoder): + def default(self, o): + if dataclasses.is_dataclass(o): + return dataclasses.asdict(o) + return super().default(o) class Processor: @@ -107,16 +115,18 @@ def write_csv(self, fname, prepped): r[-1] = r[-1].replace("\n", " ") w.writerow(r) - def write_json(self, fname, prepped): + def write_json(self, fname, prepped): with open(fname, "w", encoding="utf8") as json_file: - json.dump(prepped, json_file, indent=4) + json.dump(prepped, json_file, indent=4, cls=EnhancedJSONEncoder) def get_datasets(self, owner, url, fname): print("Override this method") - def process(self, file_type = "csv"): + def process(self, file_type="csv"): self.get_urls() for name, url in self.urls.items(): print(name) - self.get_datasets(name, url, os.path.join("data", self.type, f"{name}.{file_type}")) + self.get_datasets( + name, url, os.path.join("data", self.type, f"{name}.{file_type}") + ) diff --git a/tests/conftest.py b/tests/conftest.py index 39409a3f..99592e98 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -60,6 +60,13 @@ def is_valid_tags(str_to_check): return is_valid_string(str_to_check) +def is_valid_tags_json(tags_to_check): + for thistag in tags_to_check: + if not is_valid_string(thistag): + return False + return True + + def is_valid_licence(str_to_check): licences = [ "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", @@ -110,3 +117,35 @@ def csv_checker(csv_file): assert csv_testers[col_idx]["test_func"](cell) # result = False return result + + +def json_checker(json_file): + result = True + + json_testers = { + "Title": is_valid_string, + "Owner": is_valid_string, + "PageURL": is_valid_url, + "AssetURL": is_valid_url, + "FileName": is_valid_filename, + "DateCreated": is_valid_date, + "DateUpdated": is_valid_date, + "FileSize": is_valid_number, + "FileSizeUnit": is_valid_file_size_unit, + "FileType": is_valid_file_type, + "NumRecords": is_valid_number, + "OriginalTags": is_valid_tags_json, + "ManualTags": is_valid_tags_json, + "License": is_valid_licence, + "Description": is_valid_string, + } + + header_row = 0 + for row in json_file: + for attribute_key in row.keys(): + this_test_function = json_testers[attribute_key] + this_test_value = row[attribute_key] + test_result = this_test_function(this_test_value) + debug_output = f"{this_test_function.__name__}( {this_test_value} )" + assert test_result, debug_output + return result diff --git a/tests/jsonRow_test.py b/tests/jsonRow_test.py new file mode 100644 index 00000000..97a86942 --- /dev/null +++ b/tests/jsonRow_test.py @@ -0,0 +1,50 @@ +import pytest +from ..jsonRow import jsonRow + + +def test_json_conversion(): + # Test 1 - every attribute populated + + example_row1 = jsonRow() + + example_row1.Title = "Example title" + example_row1.Owner = "Example owner" + example_row1.PageURL = "Example original dataset link" + example_row1.AssetURL = "Example resource link" + example_row1.FileName = "Example filename" + example_row1.DateCreated = "05/Nov/2023" + example_row1.DateUpdated = "05/Dec/2023" + example_row1.FileSize = "Example size" + example_row1.FileSizeUnit = "Example size unit" + example_row1.FileType = "Example file type" + example_row1.NumRecords = "Example num records" + example_row1.OriginalTags = "Example tags" + example_row1.ManualTags = "Example manual tags" + example_row1.License = "Example licence" + example_row1.Description = "Example description" + + outputJson1 = example_row1.toJSON() + + expectedJson1 = '{"Title": "Example title", "Owner": "Example owner", "PageURL": "Example original dataset link", "AssetURL": "Example resource link", "FileName": "Example filename", "DateCreated": "05/Nov/2023", "DateUpdated": "05/Dec/2023", "FileSize": "Example size", "FileSizeUnit": "Example size unit", "FileType": "Example file type", "NumRecords": "Example num records", "OriginalTags": "Example tags", "ManualTags": "Example manual tags", "License": "Example licence", "Description": "Example description"}' + + assert outputJson1 == expectedJson1 + + # Test 2 - some attributes left as defaults (blank) + + example_row2 = jsonRow() + + example_row2.Title = "Example title" + example_row2.Owner = "Example owner" + example_row2.PageURL = "Example original dataset link" + example_row2.AssetURL = "Example resource link" + example_row2.FileType = "Example file type" + example_row2.OriginalTags = "Example tags" + example_row2.ManualTags = "Example manual tags" + example_row2.License = "Example licence" + example_row2.Description = "Example description" + + outputJson2 = example_row2.toJSON() + + expectedJson2 = '{"Title": "Example title", "Owner": "Example owner", "PageURL": "Example original dataset link", "AssetURL": "Example resource link", "FileName": "", "DateCreated": "", "DateUpdated": "", "FileSize": "", "FileSizeUnit": "", "FileType": "Example file type", "NumRecords": "", "OriginalTags": "Example tags", "ManualTags": "Example manual tags", "License": "Example licence", "Description": "Example description"}' + + assert outputJson2 == expectedJson2 diff --git a/tests/mock_data/usmart/expected/Cycling Scotland.json b/tests/mock_data/usmart/expected/Cycling Scotland.json new file mode 100644 index 00000000..ec5843f9 --- /dev/null +++ b/tests/mock_data/usmart/expected/Cycling Scotland.json @@ -0,0 +1,3320 @@ +[ + { + "Title": "National Monitoring Framework - hourly data from automatic cycling counters - Cycling Scotland", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/cyclingscotland/discovery/discovery-view-detail/f3df8bdf-8305-4fef-af33-502488befec7", + "AssetURL": "https://api.usmart.io/org/d1b773fa-d2bd-4830-b399-ecfd18e832f3/1c10a00a-2d39-4ff2-befa-d952458ec608/1/urql", + "FileName": "API", + "DateCreated": "2020-04-03T14:53:09.123Z", + "DateUpdated": "2020-04-20T13:06:49.881Z", + "FileSize": "", + "FileSizeUnit": "", + "FileType": "json", + "NumRecords": "", + "OriginalTags": [ + "Transport / Mobility" + ], + "ManualTags": [ + "Active Travel Counter Cycling" + ], + "License": "", + "Description": "\"This dataset gives the hourly cycling count breakdown for all of Cycling Scotland's automatic cycling counters. Most of counters also count pedestrians.\"" + }, + { + "Title": "National Monitoring Framework - hourly data from automatic cycling counters - Cycling Scotland", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/cyclingscotland/discovery/discovery-view-detail/7ffbe5d6-fa13-4352-829d-0bb0a58e3355", + "AssetURL": "https://api.usmart.io/org/d1b773fa-d2bd-4830-b399-ecfd18e832f3/208316af-3d06-4b86-83e9-2cf025393d1c/1/urql", + "FileName": "API", + "DateCreated": "2021-03-24T20:21:48.559Z", + "DateUpdated": "2021-09-21T11:54:03.896Z", + "FileSize": "", + "FileSizeUnit": "", + "FileType": "json", + "NumRecords": "", + "OriginalTags": [ + "Transport / Mobility" + ], + "ManualTags": [ + "Active Travel Cycling Cycling Scotland National Monitoring Framework" + ], + "License": "", + "Description": "\"This data set is a real-time hourly upload from each cycling counter across Scotland that is part of the National Monitoring Framework.\"" + }, + { + "Title": "Participation in physical activity and sport in the last four weeks - Scottish Household Survey", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/cyclingscotland/discovery/discovery-view-detail/9bb661cb-1dea-4856-b6c2-6aac6508da03", + "AssetURL": "https://data.usmart.io/org/d1b773fa-d2bd-4830-b399-ecfd18e832f3/resource?resourceGUID=e2e82854-062a-4bdd-a5d8-b0b09a9d3268", + "FileName": "Participation_in_physical_activity_last_four_weeks.csv", + "DateCreated": "2018-05-11T13:55:31.912Z", + "DateUpdated": "2019-12-20T12:54:34.465Z", + "FileSize": "", + "FileSizeUnit": "", + "FileType": "csv", + "NumRecords": "", + "OriginalTags": [ + "Transport / Mobility" + ], + "ManualTags": [ + "Cycling Scottish Household Survey Active Travel" + ], + "License": "", + "Description": "\"Data from the Scottish Household Survey (2007 - 2018) related to people's participation in physical activity and sport in the 4 weeks prior to the question being asked.\"" + }, + { + "Title": "Cycling Friendly - Employers Award - Cycling Scotland", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/cyclingscotland/discovery/discovery-view-detail/fa4d4cbb-b4a0-4efd-ae68-7767f6ab117d", + "AssetURL": "https://api.usmart.io/org/d1b773fa-d2bd-4830-b399-ecfd18e832f3/2976a33d-5707-4144-8ac5-9df05abf5071/5/urql", + "FileName": "API", + "DateCreated": "2019-10-21T10:07:11.873Z", + "DateUpdated": "2019-11-26T12:10:29.057Z", + "FileSize": "", + "FileSizeUnit": "", + "FileType": "json", + "NumRecords": "", + "OriginalTags": [ + "Transport / Mobility" + ], + "ManualTags": [ + "Active Travel Business Cycling Scotland" + ], + "License": "", + "Description": "\"This data highlights all employers across Scotland that have received a Cycling Friendly School Award\"" + }, + { + "Title": "Cycling Friendly - Employers Award - Cycling Scotland", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/cyclingscotland/discovery/discovery-view-detail/fa4d4cbb-b4a0-4efd-ae68-7767f6ab117d", + "AssetURL": "https://data.usmart.io/org/d1b773fa-d2bd-4830-b399-ecfd18e832f3/resource?resourceGUID=c045f5f5-7e79-440c-a8be-477d686c5fdc", + "FileName": "CyclingFriendly_Employers_Awards_2019_CyclingScotland_USMaster.csv", + "DateCreated": "2019-10-21T10:07:11.873Z", + "DateUpdated": "2019-11-26T12:10:29.057Z", + "FileSize": "", + "FileSizeUnit": "", + "FileType": "csv", + "NumRecords": "", + "OriginalTags": [ + "Transport / Mobility" + ], + "ManualTags": [ + "Active Travel Business Cycling Scotland" + ], + "License": "", + "Description": "\"This data highlights all employers across Scotland that have received a Cycling Friendly School Award\"" + }, + { + "Title": "Average distance traveled (km) - Transport and Travel in Scotland 2018 - Scottish Household Survey", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/cyclingscotland/discovery/discovery-view-detail/afbf361c-6311-47de-8779-d79dbb4b9f0e", + "AssetURL": "https://api.usmart.io/org/d1b773fa-d2bd-4830-b399-ecfd18e832f3/821b3439-2f43-4d31-a53e-1695f37ed1b0/2/urql", + "FileName": "API", + "DateCreated": "2019-10-17T13:39:53.097Z", + "DateUpdated": "2019-12-16T16:26:29.926Z", + "FileSize": "", + "FileSizeUnit": "", + "FileType": "json", + "NumRecords": "", + "OriginalTags": [ + "Transport / Mobility" + ], + "ManualTags": [ + "Government Scottish Household Survey Transport and Travel in Scotland" + ], + "License": "", + "Description": "\"Data from the Transport and Travel related questions asked in the Scottish Household Survey 2018. Data is of average distance traveled (km) nationally. Data is classified by Local Authority, Regional Transport Partnership, and Urban/Rural Classification. Reproduced via Open Government Licence. https://www.transport.gov.scot/publication/transport-and-travel-in-scotland-results-from-the-scottish-household-survey-1/\"" + }, + { + "Title": "Average distance traveled (km) - Transport and Travel in Scotland 2018 - Scottish Household Survey", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/cyclingscotland/discovery/discovery-view-detail/afbf361c-6311-47de-8779-d79dbb4b9f0e", + "AssetURL": "https://data.usmart.io/org/d1b773fa-d2bd-4830-b399-ecfd18e832f3/resource?resourceGUID=fedaf873-5787-4bec-b2b5-5f4c863c7d6e", + "FileName": "SHS_AverageJourneyDistance_RTP_2018_TransportScotland_USMaster.csv", + "DateCreated": "2019-10-17T13:39:53.097Z", + "DateUpdated": "2019-12-16T16:26:29.926Z", + "FileSize": "", + "FileSizeUnit": "", + "FileType": "csv", + "NumRecords": "", + "OriginalTags": [ + "Transport / Mobility" + ], + "ManualTags": [ + "Government Scottish Household Survey Transport and Travel in Scotland" + ], + "License": "", + "Description": "\"Data from the Transport and Travel related questions asked in the Scottish Household Survey 2018. Data is of average distance traveled (km) nationally. Data is classified by Local Authority, Regional Transport Partnership, and Urban/Rural Classification. 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This excludes Garages and Domestic Storage Premises.\"" + }, + { + "Title": "Teacher Numbers", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/dumgal/discovery/discovery-view-detail/736fd2ea-a6da-4c06-87a9-5a7a39698347", + "AssetURL": "https://api.usmart.io/org/9762f781-5c04-4759-a70b-afc585af1d12/e3a7980c-334b-4cd4-af64-4968ca42f6e8/1/urql", + "FileName": "API", + "DateCreated": "2017-11-15T09:59:28.542Z", + "DateUpdated": "2019-01-29T08:43:53.250Z", + "FileSize": "", + "FileSizeUnit": "", + "FileType": "json", + "NumRecords": "", + "OriginalTags": [ + "Built environment" + ], + "ManualTags": [ + "Children Education Schools" + ], + "License": "", + "Description": "\"Number of Teachers in D&G for Primary, Secondary and Special Education Schools\"" + }, + { + "Title": "Teacher Numbers", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/dumgal/discovery/discovery-view-detail/736fd2ea-a6da-4c06-87a9-5a7a39698347", + "AssetURL": 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Attendance Percentages for Secondary Schools in Dumfries and Galloway\"" + }, + { + "Title": "Secondary Schools", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/dumgal/discovery/discovery-view-detail/85141456-67b4-4af9-8c24-17e35d4753f6", + "AssetURL": "https://data.usmart.io/org/9762f781-5c04-4759-a70b-afc585af1d12/resource?resourceGUID=d50c4283-1e69-4347-a7e5-93b556135152", + "FileName": "Secondary Schools.csv", + "DateCreated": "2017-11-17T11:31:23.930Z", + "DateUpdated": "2018-02-21T11:01:27.005Z", + "FileSize": "", + "FileSizeUnit": "", + "FileType": "csv", + "NumRecords": "", + "OriginalTags": [ + "Social / Community" + ], + "ManualTags": [ + "Children Education Schools" + ], + "License": "", + "Description": "\"Secondary Schools in Dumfries and Galloway\"" + }, + { + "Title": "Secondary Schools", + "Owner": "test_owner", + "PageURL": "https://usmart.io/org/dumgal/discovery/discovery-view-detail/85141456-67b4-4af9-8c24-17e35d4753f6", + "AssetURL": "https://api.usmart.io/org/9762f781-5c04-4759-a70b-afc585af1d12/7631a55f-a450-4658-ae08-a1c3ddc626f7/1/urql", + "FileName": "API", + "DateCreated": "2017-11-17T11:31:23.930Z", + "DateUpdated": "2018-02-21T11:01:27.005Z", + "FileSize": "", + "FileSizeUnit": "", + "FileType": "json", + "NumRecords": "", + "OriginalTags": [ + "Social / Community" + ], + "ManualTags": [ + "Children Education Schools" + ], + "License": "", + "Description": "\"Secondary Schools in Dumfries and Galloway\"" + } +] \ No newline at end of file diff --git a/tests/usmart_test.py b/tests/usmart_test.py index 847299fa..fc7e9637 100644 --- a/tests/usmart_test.py +++ b/tests/usmart_test.py @@ -4,10 +4,31 @@ import csv import pytest from .conftest import csv_checker +from .conftest import json_checker from ..usmart import ProcessorUSMART +import json +import pandas as pd test_proc = ProcessorUSMART() +EXPECTED_COLUMNS = [ + "Title", + "Owner", + "PageURL", + "AssetURL", + "FileName", + "DateCreated", + "DateUpdated", + "FileSize", + "FileSizeUnit", + "FileType", + "NumRecords", + "OriginalTags", + "ManualTags", + "License", + "Description", +] + def list_sources(dir): sources_path = os.path.abspath(dir) @@ -26,14 +47,33 @@ def test_get_datasets(sources): start_url = "file:///" + os.path.abspath( "tests/mock_data/usmart/" + sources + ".json" ) - fname = outputdir + sources + ".csv" - expected_fname = "tests/mock_data/usmart/expected/" + sources + ".csv" + fname = outputdir + sources + ".json" + expected_fname = "tests/mock_data/usmart/expected/" + sources + ".json" if os.path.exists(fname): os.remove(fname) if not os.path.exists(outputdir): os.makedirs(outputdir) test_proc.get_datasets(owner, start_url, fname) + + # Check load of JSON into pandas + df = pd.read_json(fname) + + test_columns = df.columns + + # Check number of columns matches expected + assert len(test_columns) == len( + EXPECTED_COLUMNS + ), f"Expected {len(EXPECTED_COLUMNS)} columns but USMART JSON actually has {len(test_columns)}" + + # test columns are in expected order + for ci in range(len(EXPECTED_COLUMNS)): + expectedc = EXPECTED_COLUMNS[ci] + testc = test_columns[ci] + assert expectedc == testc, f"Expected column {expectedc} but got column {testc}" + + # Read JSON from file into json object and check it matches expected output with open(fname, "r", newline="", encoding="utf-8") as check_file: - csv_check_file = csv.reader(check_file) - assert csv_checker(csv_check_file) + json_check_file = json.load(check_file) + assert json_checker(json_check_file) + assert filecmp.cmp(fname, expected_fname) diff --git a/usmart.py b/usmart.py index 436cd936..5f16e765 100644 --- a/usmart.py +++ b/usmart.py @@ -1,10 +1,14 @@ try: from processor import Processor + from jsonProcessor import jsonProcessor + from jsonRow import jsonRow except: from .processor import Processor + from .jsonProcessor import jsonProcessor + from .jsonRow import jsonRow -class ProcessorUSMART(Processor): +class ProcessorUSMART(jsonProcessor): def __init__(self): super().__init__(type="USMART") @@ -51,30 +55,28 @@ def get_datasets(self, owner, start_url, fname): ManualTags.append(kw) else: ManualTags.append(" ") + for item in filetypes: print(filetypes[item][1]) - line = [ - Title, - Owner, - PageURL, - filetypes[item][0], - filetypes[item][1], # FileName - DateCreated, - DateUpdated, - "", - "", - item, - "", - " ".join(OriginalTags), - " ".join(ManualTags), - Licence, - Description, - ] - prepped.append(line) + # Create jsonRow + line = jsonRow() + line.Title = Title + line.Owner = Owner + line.PageURL = PageURL + line.AssetURL = filetypes[item][0] + line.FileName = filetypes[item][1] + line.DateCreated = DateCreated + line.DateUpdated = DateUpdated + line.FileType = item + line.OriginalTags = (" ".join(OriginalTags),) + line.ManualTags = (" ".join(ManualTags),) + line.license = Licence + line.Description = Description - processor.write_csv(fname, prepped) + prepped.append(line) + processor.write_json(fname, prepped) processor = ProcessorUSMART() From d91682c7c49963874df7d292920d181d84a11dc9 Mon Sep 17 00:00:00 2001 From: PaulB Date: Sun, 12 Nov 2023 16:17:49 +0000 Subject: [PATCH 2/2] Issue 223 --- jsonRow.py | 19 ------------------- 1 file changed, 19 deletions(-) diff --git a/jsonRow.py b/jsonRow.py index 1a16afa1..680efc6a 100644 --- a/jsonRow.py +++ b/jsonRow.py @@ -1,25 +1,6 @@ import json, dataclasses from dataclasses import dataclass -EXPECTED_COLUMNS = [ - "Title", - "Owner", - "PageURL", - "AssetURL", - "FileName", - "DateCreated", - "DateUpdated", - "FileSize", - "FileSizeUnit", - "FileType", - "NumRecords", - "OriginalTags", - "ManualTags", - "License", - "Description", -] - - @dataclass class jsonRow: Title: str = ""