71 lines
2.5 KiB
Python
71 lines
2.5 KiB
Python
# encoding: utf-8
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"""
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Tool used to upload representatives from French National Assembly.
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"""
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import csv
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import json
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import os
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import sys
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TYPES = {
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"API": "Assemblée parlementaire internationale",
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"ASSEMBLEE": "Assemblée Nationale",
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"CJR": "Cour de Justice de la République",
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"CMP": "Commission mixte paritaire",
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"CNPE": "Commission d’enquête",
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"CNPS": "Commission spéciale",
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"COMNL": "Autre commission permanente",
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"COMPER": "Commission permanente législative",
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"COMSENAT": "Commission sénatoriale",
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"COMSPSENAT": "Commission spéciale sénatoriale",
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"CONFPT": "Conférence des Présidents",
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"CONSTITU": "Conseil constitutionnel",
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"DELEG": "Délégation parlementaire",
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"DELEGBUREAU": "Délégation du Bureau de l'Assemblée Nationale",
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"DELEGSENAT": "Délégation sénatoriale",
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"GA": "Groupe d'amitié",
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"GE": "Groupe d'études",
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"GEVI": "Groupe d’études à vocation internationale",
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"GOUVERNEMENT": "Gouvernement",
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"GP": "Groupe politique",
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"GROUPESENAT": "Groupe sénatorial",
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"HCJ": "Haut Cour de Justice",
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"MINISTERE": "Ministère",
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"MISINFO": "Mission d’information",
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"MISINFOCOM": "Mission d’information commune",
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"MISINFOPRE": "Missions d’information de la conférence des Présidents",
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"OFFPAR": "Office parlementaire ou délégation mixte",
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"ORGEXTPARL": "Organisme extra parlementaire",
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"PARPOL": "Parti politique",
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"PRESREP": "Présidence de la République",
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"SENAT": "Sénat",
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}
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data_root = os.environ.get("POLITIKORAMA_DATA_ROOT", "../tmp")
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target_root = os.path.join(data_root, "assemblee_nationale")
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# Extract types
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data_source = os.path.join(data_root, "json/organe")
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data_target = os.path.join(target_root, "assemblee_nationale_types.csv")
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with open(data_target, "w", encoding="utf-8", newline="") as csvfile:
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writer = csv.writer(csvfile, delimiter=",", quotechar='"', quoting=csv.QUOTE_MINIMAL)
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writer.writerow(["code", "name"])
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types = {}
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for filename in os.listdir(data_source):
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print(".", end="")
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sys.stdout.flush()
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# Loading informations
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with open(os.path.join(data_source, filename)) as file_handler:
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organe = json.load(file_handler)["organe"]
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if organe["codeType"].upper() not in types:
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types[organe["codeType"].upper()] = TYPES.get(organe["codeType"].upper(), organe["codeType"].upper())
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for type_code in types:
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# CSV line
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writer.writerow([
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type_code,
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types[type_code],
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])
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