CODEWITHSUNDEEP
pythonsql-serversqlalchemy
GinjaNinja
GinjaNinja

Reputation: 806

Python to SQL Server Stored Procedure

I am trying to call a SQL Server stored procedure from my Python code, using sqlalchemy. What I'm finding is that no error is raised by the python code and the stored procedure is not executing.

Sample code:

def SaveData(self, aScrapeResult):
    sql = "EXECUTE mc.SaveFundamentalDataCSV @pSource='%s',@pCountry='%s',@pOperator='%s',@pFromCountry='%s',@pFromOperator='%s',@pToCountry='%s',@pToOperator='%s',@pSiteName='%s',@pFactor='%s',@pGranularity='%s',@pDescription='%s',@pDataType='%s',@pTechnology = '%s',@pcsvData='%s'"

    #   Need to convert the data into CSV
    util = ListToCsvUtil()
    csvValues = util.ListToCsv(aScrapeResult.DataPoints)

    formattedSQL = sql % (aScrapeResult.Source ,aScrapeResult.Country,aScrapeResult.Operator ,aScrapeResult.FromCountry ,aScrapeResult.FromOperator ,aScrapeResult.ToCountry ,aScrapeResult.ToOperator ,aScrapeResult.SiteName ,aScrapeResult.Factor ,aScrapeResult.Granularity ,aScrapeResult.Description ,aScrapeResult.DataType ,aScrapeResult.Technology ,csvValues)

    DB = create_engine(self.ConnectionString)
    DB.connect()

    result_proxy = DB.execute(formattedSQL)

    results = result_proxy.fetchall()

Examination of formatted SQL yields the following command

EXECUTE mc.SaveFundamentalDataCSV @pSource='PythonTest', @pCountry='UK',
  @pOperator='Operator', @pFromCountry='None', @pFromOperator='None', 
  @pToCountry='None', @pToOperator='None', @pSiteName='None', @pFactor='Factor', 
  @pGranularity='Hourly', @pDescription='Testing from python', 
  @pDataType='Forecast',@pTechnology = 'Electricity',
  @pcsvData='01-Jan-2012 00:00:00,01-Feb-2012 00:15:00,1,01-Jan-2012 00:00:00,01-Feb-2012 00:30:00,2';

The various versions and software in use is as follows: SQL Server 2008 R2 Python 2.6.6 SQLAlchemy 0.6.7

I have tested my stored procedure by calling it directly in SQL Server Management Studio with the same parameters with no problem.

It's worth stating that this point that the Python version and the SQL server version are non-changeable. I have no strong allegiance to sqlalchemy and am open to other suggestions.

Any advice would be greatly appreciated, more information can be provided if needed.

Upvotes: 3

Views: 2299

Answers (1)

GinjaNinja
GinjaNinja

Reputation: 806

Fixed now but open to opinion if I'm using best practice here. I've used the 'text' object exposed by sqlalchemy, working code below:

def SaveData(self, aScrapeResult):
    sql = "EXECUTE mc.SaveFundamentalDataCSV @pSource='%s',@pCountry='%s',@pOperator='%s',@pFromCountry='%s',@pFromOperator='%s',@pToCountry='%s',@pToOperator='%s',@pSiteName='%s',@pFactor='%s',@pGranularity='%s',@pDescription='%s',@pDataType='%s',@pTechnology = '%s',@pcsvData='%s'"

    #   Need to convert the data into CSV
    util = ListToCsvUtil()
    csvValues = util.ListToCsv(aScrapeResult.DataPoints)

    formattedSQL = sql % (aScrapeResult.Source ,aScrapeResult.Country,aScrapeResult.Operator ,aScrapeResult.FromCountry ,aScrapeResult.FromOperator ,aScrapeResult.ToCountry ,aScrapeResult.ToOperator ,aScrapeResult.SiteName ,aScrapeResult.Factor ,aScrapeResult.Granularity ,aScrapeResult.Description ,aScrapeResult.DataType ,aScrapeResult.Technology ,csvValues)

    DB = create_engine(self.ConnectionString)
    conn = DB.connect()

    t = text(formattedSQL).execution_options(autocommit=True)

    DB.execute(t)

    conn.close()

Hope this proves helpful to someone else!

Upvotes: 2

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