110 lines
2.9 KiB
Python
110 lines
2.9 KiB
Python
#!/usr/bin/env python3
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import asyncio
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import json
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from pprint import pprint
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import os
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import sys
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import datetime
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sys.path.append(os.path.join(sys.path[0], 'bin'))
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from main import main
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def debugLog(msg, level):
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logFile = 'debug.log'
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current_time = datetime.datetime.now()
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ts = current_time.strftime('%d-%m-%Y %H:%M:%S.%f')
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logMsg = '[ ' + ts + ' ] ' + '[ ' + msg + ' ] ' + '[ ' + level + ' ]'
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f = open(logFile, "a")
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f.write(logMsg)
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pprint(logMsg)
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f.close()
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def prioSort(articles):
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sortArray = {}
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sortArray2 = {}
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sortArray3 = {}
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for id in articles:
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if articles[id]['prio'] == 'pinned':
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sortArray[id] = articles[id]
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elif articles[id]['prio'] == 'important':
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sortArray3[id] = articles[id]
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else:
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sortArray2[id] = articles[id]
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sortArrayPrio = {**sortArray, **sortArray3}
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return {**sortArrayPrio, **sortArray2}
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"""
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from db import db
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test = {
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"Anstellungsart": "Festanstellung",
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"Alter": "06.01.2023",
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"Titel": "Sozialp\u00e4dagogin/Sozialp\u00e4dagoge , MNA-Zentrum Lilienberg 80%",
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"Firma": "Asyl Organisation Z\u00fcrich",
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"id": "dbfe35a30e0171da68a93139e777a62a",
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"siId": "550026",
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"href": "/job/sozialpaedagogin-sozialpaedagoge-mna-zentrum-lilienberg-affoltern-am-albis-550026",
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"lnk": "https://www.sozialinfo.ch/job/sozialpaedagogin-sozialpaedagoge-mna-zentrum-lilienberg-affoltern-am-albis-550026",
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"content": {
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"Ort": "Affoltern am Albis",
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"Antritt": "per sofort",
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"Beschreibung": " StellenbeschriebDie AOZ ist mit\u00a0rund 1'300\u00a0Mitarbeiter*innen ",
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"Anmelden": "https://aoz-rexx.ch/sozialpaedagoginsozialpaedagoge-80-mna-zentrum-lilienberg-de-f545.html?jobPipeline=sozialinfo.ch",
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"Kontaktperson": "none"
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}
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}
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ntfy = push(ntfyLnk, ntfyTopic)
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ntfy.send(test)
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pprint(json.loads(main()))
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print("filter result:", filter(test, filterFile))
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dbCon = db(dbFile)
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dbCon = db('/home/maru/Dev/pythonSoup/pythonSoup/data/articles.db')
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print(json.dumps(dbCon.readAll('articles')))
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async def loadMain():
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result = await main()
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data = json.loads(result)
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pprint(data)
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"""
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async def loadMain():
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result = await main('quick')
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data = json.loads(result)
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data = prioSort(data)
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c = 1
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sample = {}
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sampleC = "no pos"
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#pprint(data)
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for article in data:
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#pprint(data[article]['Firma'])
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if data[article]['Titel'] == 'ERROR':
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print(data[article])
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if data[article]['prio'] == 'normal':
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sample = data[article]
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sampleC = c
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c += 1
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if not sample:
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sample['Titel'] = 'None'
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title = sample['Titel']
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print(f'\n \n total articles: {c} \n ----------------- \n')
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print(f'chose: {title} at {sampleC}\n')
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#pprint(data)
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asyncio.run(loadMain())
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