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Add [cluster] country code
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3 changed files with 1358 additions and 876 deletions
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@ -5,6 +5,7 @@ import uuid
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import json
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from bs4 import BeautifulSoup
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import pycountry
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CLUSTER_PATH = '../../clusters'
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GALAXY_PATH = '../../galaxies'
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@ -12,6 +13,28 @@ GALAXY_NAME = 'intelligence-agencies'
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UUID = "3ef969e7-96cd-4048-aa83-191ac457d0db"
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WIKIPEDIA_URL = "https://en.wikipedia.org"
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COUNTRY_CODES = {
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"Brunei": "BN",
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"People's Republic of China": "CN",
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"Democratic Republic of the Congo": "CD", # Note: This is for the Democratic Republic of the Congo, not to be confused with the Republic of the Congo (CG)
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"Czech Republic": "CZ",
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"Iran": "IR",
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"Moldova": "MD", # Officially known as the Republic of Moldova
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"North Korea": "KP", # Officially the Democratic People's Republic of Korea (DPRK)
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"Palestine": "PS",
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"Russia": "RU", # Officially the Russian Federation
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"South Korea": "KR", # Officially the Republic of Korea (ROK)
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"Syria": "SY", # Officially the Syrian Arab Republic
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"Taiwan": "TW", # ISO code is assigned as "Taiwan, Province of China"
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"Tanzania": "TZ", # Officially the United Republic of Tanzania
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"Trinidad & Tobago": "TT",
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"Turkey": "TR",
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"Venezuela": "VE", # Officially the Bolivarian Republic of Venezuela
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"Vietnam": "VN", # Officially the Socialist Republic of Vietnam
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"European Union": None, # Not a country, no ISO code
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"Shanghai Cooperation Organisation": None # Not a country, no ISO code
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}
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def get_UUIDs():
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if f"{GALAXY_NAME}.json" in os.listdir(CLUSTER_PATH):
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uuids = {}
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@ -85,10 +108,23 @@ def get_agencies_from_country(heading, current_country, uuids):
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for content in contents:
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agency_names = get_notes_on_lower_level(content)
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for name, links, description, synonyms in agency_names:
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if uuids and name in uuids:
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agencies.append(IntelAgency(value=name, uuid=uuids[name], meta=Meta(country=current_country, refs=[links], synonyms=[synonyms]), description=description))
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country_code = pycountry.countries.get(name=current_country)
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# Set country
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country_name = current_country
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if country_code:
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country_code = country_code.alpha_2
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else:
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agencies.append(IntelAgency(value=name, meta=Meta(country=current_country, refs=[links], synonyms=[synonyms]), uuid=str(uuid.uuid4()), description=description))
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country_code = COUNTRY_CODES.get(current_country)
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if current_country in ["European Union", "Shanghai Cooperation Organisation"]: # Not a country
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country_name = None
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if uuids and name in uuids:
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agencies.append(IntelAgency(value=name, uuid=uuids[name], meta=Meta(country=country_code, country_name=country_name, refs=[links], synonyms=[synonyms]), description=description))
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else:
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agencies.append(IntelAgency(value=name, meta=Meta(country=country_code, country_name=country_name, refs=[links], synonyms=[synonyms]), uuid=str(uuid.uuid4()), description=description))
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return agencies
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@ -110,7 +146,6 @@ if __name__ == '__main__':
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wiki = WikipediaAPI()
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page_title = 'List of intelligence agencies'
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content = wiki.get_page_html(page_title)
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# print(content)
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uuids = get_UUIDs()
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if content and uuids:
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agencies = extract_info(content, uuids)
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@ -3,10 +3,29 @@ import json
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@dataclass
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class Meta:
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country: str = ""
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country: str = None
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country_name: str = None
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refs: list = field(default_factory=list)
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synonyms: list = field(default_factory=list)
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# def custom_asdict(obj):
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# if is_dataclass(obj):
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# result = {}
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# for field_name, field_def in obj.__dataclass_fields__.items():
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# value = getattr(obj, field_name)
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# if field_name == 'meta':
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# meta_value = custom_asdict(value)
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# meta_value = {k: v for k, v in meta_value.items() if not (k in ['refs', 'synonyms'] and (not v or all(e is None for e in v)))}
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# value = meta_value
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# elif isinstance(value, (list, tuple)) and all(is_dataclass(i) for i in value):
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# value = [custom_asdict(i) for i in value]
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# elif isinstance(value, list) and all(e is None for e in value):
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# continue
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# result[field_name] = value
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# return result
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# else:
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# return obj
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def custom_asdict(obj):
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if is_dataclass(obj):
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result = {}
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@ -14,18 +33,21 @@ def custom_asdict(obj):
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value = getattr(obj, field_name)
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if field_name == 'meta':
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meta_value = custom_asdict(value)
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meta_value = {k: v for k, v in meta_value.items() if not (k in ['refs', 'synonyms'] and (not v or all(e is None for e in v)))}
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# Filter out 'refs', 'synonyms', 'country', and 'country_name' if they are None or if 'refs' and 'synonyms' are empty
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meta_value = {k: v for k, v in meta_value.items() if v is not None and not (k in ['refs', 'synonyms'] and (not v or all(e is None for e in v)))}
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value = meta_value
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elif isinstance(value, (list, tuple)) and all(is_dataclass(i) for i in value):
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value = [custom_asdict(i) for i in value]
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elif isinstance(value, list) and all(e is None for e in value):
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continue
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# Skip the field if the value is None (specifically for 'country' and 'country_name')
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if value is None and field_name in ['country', 'country_name']:
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continue
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result[field_name] = value
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return result
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else:
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return obj
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@dataclass
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class IntelAgency:
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description: str = ""
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