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import json
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import sqlalchemy
from sqlalchemy.sql import select
from sqlalchemy.sql import text
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from flask import Flask
from flask import render_template
app = Flask(__name__)
db_engine = {}
db_metadata = {}
parts = {}
@app.route('/parts')
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def index():
return render_template('partsearch.html')
@app.route('/parts/getpartinfo/<partID>')
def get_part_info(partID):
s = 'select * from parts where id = :id;'
r = db_engine.execute(text(s), id=partID)
l = []
for row in r:
l.append(dict(row))
r.close()
return json.dumps(l[0])
@app.route('/parts/query/<filter>/<query>')
def query(filter, query):
query = '%' + query + '%'
filter = int(filter)
s = 'select * from parts where '
if filter & (1 << 0) != 0:
s += 'LOWER(type) like LOWER(:name) or '
if filter & (1 << 1) != 0:
s += 'LOWER(partno) like LOWER(:name) or '
if filter & (1 << 2) != 0:
s += 'LOWER(partnoalt) like LOWER(:name) or '
if filter & (1 << 3) != 0:
s += 'LOWER(partnoalt2) like LOWER(:name) or '
if filter & (1 << 4) != 0:
s += 'LOWER(description) like LOWER(:name) or '
s = s[:-4] + ';'
s = text(s)
r = db_engine.execute(s, name=query)
l = []
for row in r:
l.append(dict(row))
r.close()
return json.dumps(l)
def connect(user, password, db, host='localhost', port=5432):
'''Returns a connection and a metadata object'''
# We connect with the help of the PostgreSQL URL
url = 'postgresql://{}:{}@{}:{}/{}'
url = url.format(user, password, host, port, db)
# The return value of create_engine() is our connection object
con = sqlalchemy.create_engine(url, client_encoding='utf8')
# We then bind the connection to MetaData()
meta = sqlalchemy.MetaData(bind=con, reflect=True)
return con, meta
if __name__ == '__main__':
with open('admin.json') as f:
postgres_credentials = json.load(f)
db_engine, db_metadata = connect(postgres_credentials['username'], postgres_credentials['password'], 'parts')
parts = sqlalchemy.Table('parts', db_metadata)
# Example query
'''s = select([parts]).where(parts.c.notes != '')
for row in db_engine.execute(s):
print row'''
app.run('0.0.0.0')