Commit ·
dd83214
1
Parent(s): a3fc4a9
Upload 10 files
Browse files- .gitattributes +1 -0
- Participants - Sokhan 1.xlsx +0 -0
- README.md +3 -0
- Scan.pdf +0 -0
- anydesk_6.2.1-1_amd64.deb +3 -0
- exported_data.csv +1 -0
- huggingface_hub-main.zip +3 -0
- me.tar.gz +3 -0
- mohammad-cv.docx +0 -0
- t.py +66 -0
- tasks.docx +0 -0
.gitattributes
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@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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anydesk_6.2.1-1_amd64.deb filter=lfs diff=lfs merge=lfs -text
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Participants - Sokhan 1.xlsx
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Binary file (12.4 kB). View file
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README.md
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<head><link rel="stylesheet" href="https://huggingface.co/front/build/kube-91c9610/style.css"></head>
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<div class="container mt-4"><div class="prose"><p>Edit this <code>README.md</code> markdown file to author your organization card 🔥</p>
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</div></div>
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Scan.pdf
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Binary file (291 kB). View file
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anydesk_6.2.1-1_amd64.deb
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version https://git-lfs.github.com/spec/v1
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oid sha256:0428029fa9f7fb23c593fad76cfbf94c18f1c84af7aebd69720962dd5c8b77b7
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size 6616686
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exported_data.csv
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huggingface_hub-main.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:a35f23eeeb7632b8e29b2693523da2c061800a1368a6cd77273c119d7fb39871
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size 454602
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me.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:af30a8b71c0bd3ff5938fab801d4eddacf0168641e9870ffb60216f7a6ae2a9d
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size 141
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mohammad-cv.docx
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Binary file (15.5 kB). View file
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t.py
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import psycopg2
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import os
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from loguru import logger
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from dotenv import load_dotenv
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from loguru import logger
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import psycopg2.extras
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load_dotenv()
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class PsqlDataBaseConnection:
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def __init__(self):
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self.connection = None
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def __enter__(self):
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self.connection = psycopg2.connect(
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host=os.environ['DATABASE_URL'],
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database=os.environ['DATABASE_NAME'],
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user=os.environ['DATABASE_USERNAME'],
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password=os.environ['DATABASE_PASSWORD'],
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sslmode='require')
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self.connection.autocommit = True
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return self.connection
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def __exit__(self, exc_type, exc_val, exc_tb):
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if self.connection:
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self.connection.close()
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else:
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logger.error(exc_type, exc_val, exc_tb, sep="\n")
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return True
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with PsqlDataBaseConnection() as connection :
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stm = "select keyword from perigee_consolidated_events " \
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"where id in (select fk_consolidated from gdacs where fk_consolidated='JMBA3aZhF8wqfykfMomSj9') " \
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" or id in (select fk_consolidated from copernicus_ems where fk_consolidated='JMBA3aZhF8wqfykfMomSj9' ) " \
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"or id in (select fk_consolidated from rw_disaster where fk_consolidated='JMBA3aZhF8wqfykfMomSj9') " \
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"or id in (select fk_consolidated from glide_numbers where fk_consolidated='JMBA3aZhF8wqfykfMomSj9')"
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cursor = connection.cursor()
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cursor.execute(stm)
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res = cursor.fetchall()[0][0]
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print(res)
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stm2 = f"select user_id from direct_engagement " \
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f"where user_id in (select id from twitter_user where verified=true) " \
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f"and keyword='{res}'"
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cursor.execute(stm2)
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res2 = cursor.fetchall()
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x = [item[0] for item in res2]
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f = tuple(x)
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stm3 = "select user_id from baseline_tweets INNER JOIN twitter_user on baseline_tweets.user_id=twitter_user.id " \
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"where baseline_tweets.mentioned_country='COD' " \
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"and twitter_user.verified=true "
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cursor.execute(stm3)
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res3 = cursor.fetchall()
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z = [item[0] for item in res3]
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print(f"me : {z}")
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print(list(set(z).symmetric_difference(set(x))))
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print(len(z))
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tasks.docx
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Binary file (4.97 kB). View file
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