107 lines
4.1 KiB
Python
Executable File
107 lines
4.1 KiB
Python
Executable File
#!/usr/bin/env python3
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import subprocess
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import os
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import sys
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# 🔧 Verbindungseinstellungen (anpassen!)
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DB_NAME = "guez_20250910"
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DB_USER = "postgres"
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DB_HOST = "localhost"
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DB_PORT = "5432"
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# 🔍 Welche Schemata durchsuchen?
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SCHEMA_PREFIX = "ex\_"
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TABLE_NAME = "rec_equipment_state"
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# ⚙️ psql-Basisbefehl (mit -A = unaligned, -t = tuple-only)
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PSQL_BASE = [
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"psql",
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"-h", DB_HOST,
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"-p", DB_PORT,
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"-U", DB_USER,
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"-d", DB_NAME,
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"-A", "-t", "-c"
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]
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def run_psql(query):
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"""Führt ein SQL-Statement aus und gibt den Text-Output zurück."""
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env = os.environ.copy();
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process = subprocess.Popen(
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PSQL_BASE + [query],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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env=env,
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universal_newlines=True
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)
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stdout, stderr = process.communicate()
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if process.returncode != 0:
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sys.stderr.write("Fehler bei psql: \n" + stderr + "\n")
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return ""
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return stdout.strip()
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def main():
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# 🔹 1. Schemata abrufen
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print("🔍 Suche nach Schemas ...")
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schema_query = f"SELECT schema_name FROM information_schema.schemata WHERE schema_name LIKE '{SCHEMA_PREFIX}%' ORDER BY schema_name;"
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schema_output = run_psql(schema_query)
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schemas = [s for s in schema_output.splitlines() if s.strip()]
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print(f"Gefundene Schemata: {schemas}\n")
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# 🔹 2. Query pro Schema ausführen
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for schema in schemas:
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# Anzahl verschiedener Verursacher, wenn originator_id als equipment_number betrachtet wird:
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# query = f"select COUNT(*) FROM (select originator_id, COUNT(*) from {schema}.{TABLE_NAME} \
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# where originator_type = 1 AND equipment_number not in \
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# (select equipment_number from {schema}.rec_participant where equipment_number > 0) \
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# AND position->>'reportingSource' = '3' GROUP BY originator_id)"
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# Verursacher EquipmentNumbers und Anzahl an Treffern, wenn originator_id als equipment_number betrachtet wird.
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query = f"select originator_id, COUNT(*) from {schema}.{TABLE_NAME} \
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where originator_type = 1 AND equipment_number not in \
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(select equipment_number from {schema}.rec_participant where equipment_number > 0) \
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AND position->>'reportingSource' = '3' GROUP BY originator_id"
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# Gesamtanzahl an Treffern, wenn originator_id als equipment_number betrachtet wird.
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# query = f"select COUNT(*) from {schema}.{TABLE_NAME} \
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# where originator_type = 1 AND equipment_number not in \
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# (select equipment_number from {schema}.rec_participant where equipment_number > 0) \
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# AND position is null"
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# AND position->>'reportingSource' != '3'"
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# AND position is null GROUP BY originator_id)"
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# queryParticpantIdsFromEqNo = f"select id from {schema}.rec_participant where equipment_number in "
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# queryUnknownExternalEqNos = f"select equipment_number from {schema}.{TABLE_NAME} WHERE equipment_number not in "
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# Ausstattungsnummern aller externer Teilnehmer, die getroffen wurden:
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# query = f"select equipment_number from {schema}.{TABLE_NAME} \
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# where equipment_number not in \
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# (select equipment_number from {schema}.rec_participant where equipment_number > 0) \
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# and position->>'reportingSource' = '3'"
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# and originator_type = 4 AND position is null"
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# query = f"select DISTINCT equipment_number from {schema}.{TABLE_NAME} \
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# where equipment_number not in \
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# (select equipment_number from {schema}.rec_participant where equipment_number > 0) ORDER BY equipment_number"
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# query = f"select COUNT(*) FROM (SELECT DISTINCT equipment_number from {schema}.{TABLE_NAME} \
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# where equipment_number not in \
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# (select equipment_number from {schema}.rec_participant where equipment_number > 0) )"
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print(f"▶️ {schema}")
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try:
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result = run_psql(query)
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if result.strip():
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print(result)
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else:
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print("(keine Ergebnisse)\n")
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except subprocess.CalledProcessError as e:
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print(f"❌ Fehler bei Schema {schema}: {e.stderr}\n")
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if __name__ == "__main__":
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main()
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